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semaiFRAMEWORKSEMAI's AI Framework & ArchitectureExecutive / Strategicdecide, and answer for itDecision Supportexplain, compare, askManagement Informationplan, account, reportTransaction / Operational ISrecord the work as it happensSupervisory Controlclosed loops, alarms, interlocksData Acquisition & Controlmeasure it, and act on itPhysical Processthe production activity itself Executive CockpitStrategy & Target SettingReasoning Over Given Materialexplain, compare, weigh ∙ R4LLM Synthesis & Narrativesay what changed, and why ∙ R4LLM Human Judgementthe last escalation ∙ R7 Spatial Analytics Query & Calculation Engineevery number comes from here ∙ R6 Natural-Language Interfaceask in words, answer in words ∙ R4LLM Retrieval Over Your Recordgrounded in what you own ∙ R4LLM Lakehouseconformed, current, owned Semantic Layer & Ontologyone meaning per term Analytics & Modelling Business AnalyticsScenario & What-If Stakeholder Management Retrieval Over Policy & Ruleswhat the rule actually says ∙ R4LLM Analysis & Summary Assistantdashboard plus rules, explained ∙ R4LLMConversational Queryask for the figure you need ∙ R4LLM Business Intelligenceaggregate, slice, compare Business Dashboardmonitor the numbers as they move Arithmetic, Thresholds & Verdictsnever a model ∙ R6 AIDocument Intelligencedocuments to structured data ∙ R5ML+LLM ERPfinance ∙ HR ∙ procurement ∙ sales Document Management Systemthe corpus of record Master Data Management Land & Concession Records Traceability & CustodyEnvironmental Monitoring Digital Signing & Stamping Predictionproject the record forward ∙ R3ML Monitoringflag deviation from normal ∙ R3ML Procurement ExecutionWork Orders & Maintenance Laboratory & Quality Warehouse & Inventory GIS / Spatial Operations MES / MOM Dispatch & Transport Weighbridge & Gate Order Fulfilment Field Data Capture Estate & Site Administration SCADA / HMI Process Historianthe time-series record Safety & Interlock Alarm Management Rules, Loops & Setpointsstructured in, rule writable ∙ R1 Handheld & Mobile Capture GNSS / GPS Positioning Visual Perceptionimages to structured facts ∙ R3ML AIDocument Perceptionmarks and layout to text ∙ R3ML Signal Perceptionsound and vibration to state ∙ R3ML PLC DCS Sensors & Instruments Actuators & Drives Meters & Weighbridge Cameras & ImagingPlant & MachineryVehicles & FleetField & BlocksSite & YardStorage & TanksFacility & BuildingsMaterial & ProductAI FOR AUTOMATION ∙ PROCESS & DATAAI FOR INTELLIGENCE ∙ WHAT, WHY, HOW
Chapter 1

About Us

PT Semai Raya Internasional (SEMAI): software products, software development, AI solutions and system integration

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1.1Who We Are

SEMAI offers software products, software development, Artificial Intelligence (AI) solutions, and system integration.

  • Established on 13 October 2020
  • Developing software and AI solutions since 2019
  • Bringing together people, process and technology
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1.2Software / AI Engineering & Plant Automation

Examples of a high-fidelity clickable prototype and of instrumentation, automation and SCADA implementation
  • High-fidelity clickable prototypes from real case designs
  • Instrumentation, automation & SCADA implementation
  • Daily standup, project tracking, test-driven development
  • Cyber security monitoring of our and clients' apps
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1.3Inhouse Tech. Training: AI for Productivity

  • Customizable to your needs, built as a single stack
  • Basic prompting first, because everything depends on it
  • ChatGPT, Gemini and Claude, NotebookLM, n8n workflows
  • Same objectives across four clusters; only the use case changes
  • Each participant leaves with one live use case
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1.4A Single Stack of Capabilities

Most modules run the same four beats, concept in, participant out

AI for Productivity training: stack of modules from basic prompting to proof of value, and the four beats of each module
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Chapter 2

semaiFRAMEWORK

SEMAI's AI Framework & Architecture

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2.1Automation and Intelligence

Automation

  • Automation is about the work: do things right, above standard
  • Automate data and process

Intelligence

  • Intelligence is about the decision: do the right things, earlier
  • Actionable insights: what, why, how

From rules-based, to AI machine learning, to GenAI

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2.2The Record in the Middle

AI for Automation writes into the record, AI for Intelligence reads out of it

The record between the physical world and management: AI for Automation writes into it, AI for Intelligence reads out of it
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2.3Capabilities on Every Layer

Seven layers, from physical process to executive and strategic

The semaiFRAMEWORK map: seven layers from the physical process to executive and strategic decisions
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2.4Matching the Form of Data to the Right AI

  • Language with GenAI, for reports
  • Numbers with statistics, for forecasts
  • Images with deep learning, for sorting
  • Rules with solvers, for scheduling
Whiteboard table matching forms of data to AI types and examples
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2.5General Architecture for Generative / LLM AI

Private hosting for AI in Indonesia, for your data sovereignty

General architecture for generative and LLM AI: client files and systems, the private AI model and application server, and the chat and app endpoints
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Chapter 3

semaiADIS

Dispatch, Transport & Order Fulfillment

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3.1Digital Dispatch, from Gate In to Gate Out

  • Every checkpoint is recorded as it happens
  • Gate in, weigh in, loading, weigh out, gate out
  • The same five checkpoints again at the bulk terminal
  • Captured once on the phone, with a QR-based ID
semaiADIS mobile app, Identitas Unit screen: dispatch note of Tuesday 30 May 2023, status assigned (ditugaskan), product CPO, RSPO and ISCC certification MB, sent, received and difference 0 kg, FFA 2.54%, water 0.01%, dirt 0.12%, and seal codes for manhole 1 and valve 1. Truck, transporter and site names are blurred.
Identitas Unit
semaiADIS mobile app, Loading screen: product CPO, source tank ST04 selected, RSPO and ISCC SCC model MB, seal codes 123 for manhole 1 and 456 for valve 1, and the Simpan (save) button. Truck and transporter names are blurred.
Loading
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3.2What semaiADIS Does

Traceability for RSPO, ISPO & ISCCDelivery data traceable end to end, supporting RSPO, ISPO & ISCC certification.
1-Time Note / RecordEach step is recorded once, then immediate recap & monitor.
QR-Based IDEasy, simple, user friendly, no manual key-in.
Online / OfflineThe mobile app keeps recording at the gate, weighbridge and shed, online or offline.
Management & Transporter DashboardPlanned, sent and received tonnage for CPO and PKO, with the progress history.
PaperlessDigital records support audit, third-party invoicing and more.
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3.3How It Works

Every step is recorded as it happens: gate in, weigh in, loading or unloading, weigh out and gate out.

semaiADIS: Dispatch, Transport & Order Fulfillment
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3.4Dashboard and Tracking

semaiADIS management dashboard for mill PKS 4: CPO and PKO progress rings with planned, sent and received kilograms, and a bar chart of planned against received per day
Management & Transporter DashboardPlanned, sent and received, for CPO and PKO.
semaiADIS Map Tracking screen: the truck route on a map, truck information, delivery history and delivery details
Map TrackingPaperless: support audit, third party invoicing, etc.
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3.5Case Study: Digital Dispatch at Scale

82%average efficiency gain across measured activities
12 of 18sites live, 67% of the program
Rp 13.3 millionpaper cost down per year
ActivityBeforeWith semaiADISGain
Gate: truck queue, in/out times3m 15s3s98%
Driver & vehicle legality check3h5 min97%
Dispatch note entry, recap, print2m 55s36s79%
Admin retrieval for audit & archive30 min10 min67%

Controls That Outlast the Clock

  • No unit can load until the daily plan is approved
  • An unregistered vehicle cannot be processed
  • Tonnage no longer distorted by fuel weight

Measured against the group's own before-state.

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Chapter 4

semaiDOCS

Digital Signature, Stamp, Duty Stamp & DMS

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4.1Sign Without Logging In

  • Place signatures on the document and invite signers
  • Digital signature, digital stamp or stamp duty
  • Notification by email or WhatsApp
  • Signers click the link and sign, with no login
semaiDOCS signer view of an example agreement: Mira Setiawan's block marked Selesai, Billy B Sifulan's block 'to be SIGNED', with the Tolak Pembubuhan and Bubuhkan Sekaligus buttons
Signer clicks the notification link to sign (no login). Demo: Mira Setiawan (Maker), Billy B Sifulan (Signer).
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4.2What semaiDOCS Does

Invite SignerInvite signers in serial or parallel order, each with an email and a role.
Signature, Stamp or Duty StampChoose digital signature, digital stamp or stamp duty (e-Meterai) and place it on the document.
Notification via Email or WhatsAppThe signer receives a notification with the link by email or WhatsApp.
Sign with No LoginThe signer clicks the notification link to sign, with no login.
Digital Sign EngineA digital sign engine (middleware) lets existing apps keep their as-is workflow and sign via widget or API.
Document ManagementA searchable repository, favourite folder access and links to physical document storage.
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4.3How It Works

Invite the signer, choose the type and place it on the document; the signer receives a notification via email or WhatsApp and clicks the link to sign, with no login.

semaiDOCS: Digital Signature, Stamp, Duty Stamp & DMS
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4.4Placement on Document

Each signature block, with its QR code, is positioned on the document and the position is confirmed before it is sent.

semaiDOCS placement on an example agreement: Mira Setiawan's signature block with QR code, a 'to be SIGNED' block for Billy B Sifulan, and the position confirmation
Signature blocks with QR codes for Mira Setiawan (Maker) and Billy B Sifulan (Signer).
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4.5Document Management System

  • Searchable repository for documents and media
  • Customizable favourite-folder links per user
  • Links to physical document storage
  • Integrates with existing applications
semaiDOCS document management repository with folders such as Notes, Inventory, Documents and Templates
Documents & media (searchable) repository.
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Chapter 5

semaiKELOLA

Workflow, Form, Docs & Template (Custom) Application for Operations

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5.1Where It Sits

  • The Transaction / Operational IS layer of the semaiFRAMEWORK
  • The layer that records the work as it happens
  • Procurement, work orders & maintenance, lab & quality
  • Warehouse, dispatch, weighbridge & gate, order fulfilment
  • Field data capture, estate & site administration
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5.2What semaiKELOLA Does

DashboardTotal ceiling, contracted value, percentage absorbed and remaining ceiling (pagu), at a glance.
Overall TimelineEvery procurement package on one yearly timeline, with its status.
Planning to ExecutionFour phases: perencanaan, persiapan, pemilihan and pelaksanaan (planning, preparation, selection, execution).
Document NumberingNumbering formats for berita acara, receipts, SPK, payments and BAST.
Template ManagementDocument templates for each phase, ready to download.
Data ImportProcurement data imported from an Excel template.
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5.3How It Works

Example: a general procurement solution covers planning, preparation, selection and execution, connected to budgeting, e-catalogues and vendor records.

semaiKELOLA: Workflow, Form, Docs & Template (Custom) Application for Operations
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5.4Dashboard

semaiKELOLA procurement dashboard: total contract ceiling Rp 45.2M, contracted Rp 32.5M and 71.9% absorbed, above the list of procurement packages with organisation, vendor, contract value and status
Dashboard: ceiling, contracted value and absorption, above every package.
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5.5Perencanaan (Planning)

semaiKELOLA Perencanaan (planning) screen: the phase menu on the left, Add New Record and Import Excel buttons, and the list of procurement packages
Each procurement package recorded at planning, added one by one or imported from Excel.
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5.6Template Manajemen

semaiKELOLA Template Manajemen screen: document templates and files grouped by phase, Perencanaan and Persiapan
Document templates and files, grouped by phase.
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Chapter 6

semaiPRO

Field-to-Screen Digitization

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6.1From the Field to the Screen

  • Field work used to live in paper notebooks and chat photos
  • Now captured once in the app, with photos
  • Appears straight away in harvest history and detail records
  • Production dashboards and block maps for every estate and block
semaiPRO block map on satellite imagery: estate blocks A0001 to A0029
Block map: every block, A0001 to A0029, on one screen.
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6.2What semaiPRO Does

Mobile AppIdentifies personnel and records timestamps, activities and photo evidence, offline or online.
AI Grading & CountDeep-learning AI grades and counts the fruit bunches, offline or online.
Smart HelmA safety wearable that records timestamps, location and trajectory; patent P00202007654.
AI Digital AssistantAn expert system to upskill workers and independent smallholders, with Gen-AI online.
Web App & GISDashboard, areal statement, GIS and data traceability, integrated with the mobile app.
API for External IntegrationsFor a multiple stakeholders ecosystem: KSO, cooperatives and independent smallholders.
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6.3Tree-to-Mill Traceability

Joint research with ITB for NDPE traceability, funded by BPDP

semaiPRO: Tree-to-mill traceability
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6.4Riwayat Panen (Harvest History)

semaiPRO Riwayat Panen (harvest history): a grid of harvest photos of fruit bunches, and the list view with photo, date, recorder, block M12, TPH, bunch count and kilograms
Each harvest with its photo, date, recorder, block, TPH, bunches (JJG) and kg.
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6.5Production Dashboard and Map

semaiPRO production dashboard: total area and total production, production gauges per estate, beside a satellite map of the estate blocks
Total area, total production and production per estate, beside the block map.
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6.6Joint Research & Real Field Implementation with ITB

Case Study

  • NDPE traceability, funded by BPDP
  • Mobile apps for cooperatives, farmer groups and smallholders
  • AI and knowledge services in the middle
  • Web app and API for multiple stakeholders
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Coming Soon 1Q 2027

semaiERP

Implementing Odoo ERP, Integration with Other Systems, Customization

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7.1What semaiERP Does

  • Implements Odoo ERP, configured to how the company works
  • Integrates it with the systems the company already runs
  • Customizes it where the standard apps stop
  • Every app is a module on one database; the work goes into the edges
A custom Odoo 19.0 module built by semai: an equipment loan form with a Mark Returned button, 13 days late
Our own module on Odoo 19.0: an equipment loan, 13 days late (example).
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7.2Why semaiERP

  • Custom development becomes technical debt the customer pays for at every upgrade
  • Lowest rung first; configuration covers most needs
  • Plan, hosting and upgrade cost settled in the fit-gap register before any code
  • Indonesian tax, data protection and government data rules built into the design
3worked implementations in our sandbox: a manufacturer, a regional hospital, an estate and mill
5rungs on the decision ladder, always tried lowest first
80%of project time in build-and-validate cycles, in Odoo's own method
19.0the Odoo version every run was checked on
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7.3How semaiERP Works

Configure, then Studio, then a module, then an integration

The decision ladder: a business need climbs from standard configuration to Studio, an Apps Store module, our own module and an integration, and lands in the fit-gap register
Each need goes down the decision ladder until something meets it. The rung decides plan, hosting and upgrade cost.
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7.4Solution Architecture Overview

semaiERP solution architecture overview: inputs on the left, standard apps, customization, integration and the business database inside semaiERP, external systems and outputs on the right, users along the bottom
Open questions are settled with the client before the estimate: where it is hosted, which other systems connect, and the tax portal step.
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7.5Integration with Other Systems

Pick the pattern by who starts the exchange

Ways to connect a system to semaiERP: the external API, file import and ready connectors when the other side starts, webhooks, scheduled jobs, the e-Faktur export and our own endpoint when Odoo starts
Pick the pattern by who starts the exchange and how fast the other side needs the data. Each connected system gets its own key and its own integration user.
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7.6Mockups

Real Odoo 19.0 screens from our sandbox runs, with example companies and data.

  • Make to stock for a manufacturer
  • Lots and expiry in a hospital pharmacy
  • Data migration with stable external IDs
  • Our own module and custom fields on standard screens
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7.6.1Implementing: Make to Stock

Odoo manufacturing order WH/MO/00001 marked Done, with five components to consume and consumed
A manufacturer's production order, from bill of materials to done.
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7.6.2Implementing: Lots and Expiry

Odoo detailed operations on a pharmacy receipt: two lots of an injection with expiration and removal dates
A hospital pharmacy receipt, each lot with its expiration date, so the earliest expiry is picked first.
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7.6.3Data Migration

Odoo import screen: each file column mapped to a field, with an External ID column, and the message Everything seems valid
Each column mapped to a field, with a stable External ID, so the next round updates instead of duplicating.
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7.6.4Customization: Our Own Module

Custom Equipment Loans list in Odoo: equipment, borrower, lent on, due on, days late and state, with the late loan in red
A small module built and tested on Odoo 19.0: loans, due dates, days late and a Mark Returned button.
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7.6.5Customization: Fields on a Standard Screen

Odoo receipt with a custom tab for weighbridge and grading: ticket, gross, tare and net weight, grading percentages, deduction and paid weight
A palm oil mill's receipt with weighbridge and grading fields added to the standard form.
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Chapter 8

semaiALESIA

AI Deep Learning

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8.1Offline AI Grading & Counting

semaiALESIA offline AI grading and counting on a phone, at the TPH and the mill
  • Grades and counts fresh fruit bunches (FFB)
  • Works offline, without internet
  • At the collection point (TPH) and at the mill
  • Integrates with harvest mechanization
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8.2How the Model Learns and Reaches the Field

Images are collected and labelled, the model is trained and monitored, then deployed to the phone for grading
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8.3From Image Collection to Grading in the Field

  • alesia trainer: collect FFB images, label ripeness class or grade
  • alesia control: web app to manage models and datasets
  • Updated model deployed to the Android app on the phone
  • alesia grader: assists the mandor or kerani in the field
  • Android 8 or newer, regular consumer smartphone camera
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8.4R&D: AI Counting Compared with Manual Counts

AI counting of loose fruit and bunches compared with manual input
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8.5Research & Development

Forecast charts for fresh fruit bunch production and oil extraction rate
  • Integration with harvest mechanization
  • Forecasting FFB production
  • Forecasting oil extraction rate
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Chapter 9

semaiBINAR

GenAI Tools for Automation & Intelligence

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9.1From Documents to Decisions

semaiBINAR turning stacks of documents into an executive summary and a structured table
  • Reads piles of documents and handwritten notes
  • Executive summaries, key points and strategic impact
  • Or structured tables, ready for analysis
  • Feeds the record the semaiFRAMEWORK is built on
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9.2Intelligent Document Processing (IDP)

Unstructured content into searchable, analyzable structured data

Parse, classify, OCR and vision, extract, and reconstruct structure: DigiBot processes, DashBot answers questions
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9.3Two LLM-Based Helpers

  • DigiBot: AI agent that handles the document processing
  • DashBot: AI chatbot that answers questions over the data
  • Generative capabilities, such as graphics, for analytics chatbots
semaiBINAR answering a chat request with a generated line chart of the 2024 harvest trend
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9.4General Architecture

Private hosting for AI in Indonesia, for your data sovereignty

General architecture for generative and LLM AI with semaiBINAR as the AI application server
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9.5Try the Demo at rania.semai.id

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Chapter 10

semaiYARA

Capture, Organize & Share

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10.1Field Knowledge Dies in the Camera Roll

  • Thousands of photos, chronological, unlabelled, unsearchable
  • The gap isn't capture; it's retrieval
  • The reminder lives in a different app, so the two never meet
  • semaiYARA closes that: capture, organise, recall, act
semaiYARA Binar chat on Android: Binar answers in Indonesian about a photo of fresh fruit bunches, with advice for better grading and counting and an example photo
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10.2Built on One Unit, the Capture

  • A photo or video with a title, note, tags and a place
  • A gallery that groups by tag, not by date
  • Calendar events with reminders
  • Binar, the AI assistant, reads and answers questions
  • Android and the web, one account, synced
semaiYARA capture screen: a photo of fruit bunches with the menu Share to reminder, Edit, Delete, Send to Binar, download to device and Share to
Photograph it and turn it into a reminder, a shared item, or a question for Binar.
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10.3What semaiYARA Does

CaptureA home-screen camera widget, the in-app shutter or the device gallery, with GPS address and EXIF timestamp.
Tags & GalleryOne capture under several tags; search by title, note, tag or location, offline too.
EventsCalendar by month, week or day, with a reminder 5‑60 min before.
SharingTo a semaiYARA user, or anywhere: WhatsApp, email, Drive.
BinarSend a capture and ask about it: OCR, image understanding, contextual Q&A.
Account & SyncGoogle SSO or email, 15 GB storage, real-time sync between mobile and the web.
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10.4How It Works

Capture now, enrich later: only the photo is required

semaiYARA: Capture, Organize & Share
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10.5semaiYARA on Android

semaiYARA Send to Binar dialog over a photo of fruit bunches, with the caption grade and count this
Send a capture to Binar and ask about it: grade and count this.
semaiYARA Tambah Pengingat (add reminder) screen: title, all day, start and end, repeat and a reminder 10 minutes prior
A reminder 5‑60 min before, on the same record.
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Coming Soon 1Q 2027

semaiASSETS

Material Master Data Management and Cataloguing

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11.1What semaiASSETS Does

  • One record for every item that is bought, stored and used, written the same way everywhere
  • Noun, modifier, then attributes in a fixed order and the manufacturer's number
  • One identity per item, with each entity's own code mapped to it
  • AI as a tool to clean up the material data; a person decides every proposal
Five catalogue lines that all read BEARING WHEEL, rewritten as standard descriptions from a public reference catalogue: four tapered roller cones and one cup (from our pitch, interface in Bahasa Indonesia)
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11.2Why semaiASSETS

  • The same item gets different names; different items share one name
  • Double purchases, idle stock, and stock in another warehouse that cannot be seen
  • Five lines reading BEARING WHEEL were four cones and one cup
  • For groups with many entities and warehouses in Oil & Gas, Mining, BUMD / BUMN
5catalogue lines reading BEARING WHEEL turned out to be four cones and one cup
17companies registered the same part number for the same bearing in a public reference catalogue
0 → 10of 13 part numbers with a standard description after cleansing the 14-line sample
4weeks for a sample diagnostic that reads your data and changes no system
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11.3How semaiASSETS Works

One real catalogue line through every step

semaiASSETS cleansing: one real catalogue line taken through collect, take the number, match the reference, write the standard, check duplicates, merge or retire, keep it clean, with AI proposing and a cataloguer deciding
Take the number first, then noun and modifier; search duplicates once a standard description exists. No reference means review, never a guess. AI proposes, the cataloguer decides.
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11.4One Catalogue Across Entities

Each entity keeps its own system; codes are mapped

semaiASSETS across entities: a shared dictionary and governance around one shared catalogue, six entities with their codes mapped, and a transfer from an entity with surplus to one that needs the item
Surplus in one warehouse is seen by another entity before anyone buys, and can be transferred or loaned under each entity's rules.
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11.5Solution Architecture Overview

semaiASSETS solution architecture overview: material master extract, surplus list and coding standard as inputs; reference catalogues and manufacturer data; inside semaiASSETS the cleansing workbench, AI assist, duplicate clusters and review list, the material request, duplicate check, approval flow and data quality score, and the shared dictionary, shared catalogue, cross-entity stock and decision log; each entity's ERP with mapped codes; outputs a clean catalogue load and a diagnostic report; three open questions
The inputs on the left, the modules semaiASSETS adds in the centre (clean, keep it clean, catalogue), each entity's own system and the outputs on the right, the people along the bottom, and the questions still open, each numbered.
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11.6Mockups

Concept screens. The items and their values are real, from a public-domain fleet parts catalogue matched to a public reference catalogue; entities, stock and request numbers are examples. Interface in Bahasa Indonesia.

  • Cleansing workbench and duplicate clusters
  • Data quality score, before and after
  • New material request with a duplicate check before any code
  • Catalogue across entities and the approval flow
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11.6.1Cleansing Workbench

Cleansing workbench: 14 old catalogue lines with their part number, reference record, standard description, status and action; ten matched, three missing attributes, two to review, one pair to merge
Each old line is read, its part number taken, matched to a reference and rewritten. Lines without a reference go to review.
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11.6.2Duplicate Clusters

Duplicate cluster: five records with the same description BEARING WHEEL compared side by side; the reference values show four cones and one cup, decision: split into five identities
Candidates compared side by side; the decision comes from the reference values, not from the look of the text.
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11.6.3Data Quality Score

Data quality score: before and after charts for standard descriptions, identities behind BEARING WHEEL and records for one part number, with a table of measures and their status
Measures before and after, counted from the 14-line sample; in a real project, for every entity's whole catalogue.
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11.6.4New Material Request

New material request: noun, modifier and attributes chosen from the dictionary, the description written by the system, and a duplicate check before a code is created, finding the item already exists
Noun and modifier only from the dictionary; the system writes the description and checks for duplicates before any code is made.
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11.6.5Dictionary and Templates

Dictionary and template: approved noun and modifier pairs, each with its ordered attribute list and which attributes are required, and the description the template writes
Approved noun and modifier pairs, each with its attributes in a fixed order.
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11.6.6Catalogue Across Entities

Cross-entity catalogue: one item identity with each entity's own code and stock; one entity needs 4, another holds 12 in surplus, and a transfer is proposed
One item identity, with the code and stock in every entity, and a transfer proposal under the applicable rules.
Streams
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11.6.7Approval Flow

Approval flow: six steps from request to code creation, a queue of requests with their age, and the automatic checks for one request
Every new item passes the same steps before it gets a code; the automatic checks reject what does not fit the dictionary.
Streams
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11.7Start With a Sample Diagnostic

Work starts with a four-week sample diagnostic on two to three entities: their material master extracts are read, part numbers matched to references, and duplicates searched within and across entities. It changes no system; the data is read, measured and returned as a report.

4weeks, reading data only; no system is changed
2 to 3entities' material master extracts
1report: duplicate rate, transfer pairs, reusable surplus
Streams
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Chapter 12

semaiNEXUS

Building Enterprise Intelligence (Analytics & AI)

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12.1Executive Intelligence

semaiNEXUS executive dashboards with revenue, OER, yield, loss waterfall and AI briefing
  • Revenue, OER, yield and critical units at a glance
  • Daily loss waterfall from harvest to dispatch
  • Product inventory, movement and value at stake
  • A five-minute briefing for meetings
  • Next-week predictions with best, likely and worst cases
Streams
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12.2One Model of the Enterprise

Decisions, claims & reporting, and models & agents on one shared model

Estates, blocks, harvesters, mills, weighbridge tickets and certificates on one shared model, connected to estate, mill and enterprise systems
Streams
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12.3From Raw Data to Serving

Ingest, refine through bronze, silver and gold, then serve

Sources are ingested, refined through bronze, silver and gold, then served
Streams
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12.4How the Data Flows

  • Structured databases, field capture, geospatial data, documents
  • Refined into compliance marts and executive marts
  • Served to BI, query and narrative tools
  • Document intelligence with OCR, vision and LLM extraction
Streams
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Chapter 13

semaiENVIRO

Environmental Data Monitoring & Compliance Reporting

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13.1Act Before the Breach Lands

  • SPARING and CEMS stream to the ministry's servers continuously
  • Once a breach lands there, the argument is over
  • semaiENVIRO watches the same signals and warns first
  • It flags and suggests; people decide and can defend the number
Streams
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13.2How It Works

Setup, collect, entry, check, evaluate, report, improve

semaiENVIRO cycle: setup, collect, entry, check, evaluate, report, with corrective and preventive improvements
Warns before the threshold, simulates the PROPER score, validates documents against the rules, and tracks corrective actions.
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13.3The 2024–25 PROPER Cycle

5,476companies assessed
< 300rated beyond compliance
18%palm oil's share; the rest is mining, energy, industry, transport
Streams
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13.4Where We Have Delivered

  • End-to-end PROPER compliance reporting for two industrial plants
  • A prototype (pilot) for an industrial estate with 500+ plants
  • Delivered with our partner
2industrial plants with our partner's end-to-end PROPER compliance reporting
500+plants in the industrial estate pilot prototype
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13.5Example Screens

  • Compliance dashboard and permit master data
  • My task & notification list
  • AI assistant chatbot
  • AI-assisted compliance evaluation
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13.5.1AI-Assisted Compliance Evaluation

semaiENVIRO AI-assisted compliance evaluation: Mr.Proper's analysis of an environmental permit, concluding the status is TAAT
Mr.Proper's analysis, conclusion and action item for one criterion (example).
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13.5.2Assistant AI Chatbot

semaiENVIRO Mr. Proper Assistant chatbot greeting the user and answering about PROPER
Mr.Proper, the assistant chatbot (example).
Streams
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Coming Soon 1Q 2027

semaiGEO

Satellite Data to Decision Services

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14.1What semaiGEO Does

  • Ground motion at each asset, in millimetres a year, from radar
  • Water history: how often each 30 m pixel was water, 1984 to 2021
  • Forest change: the year each pixel lost its tree cover
  • Palm age and biomass supply, with every factor shown
  • Site ranking: weighted criteria, ranked candidate sites
  • Validated maps, delivered as files a client system can read
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14.2Why semaiGEO

  • Optical stops at cloud: one area in 2025 had 0 of 84 optical scenes under 20% cloud; radar still gave 25 dates
  • Most inputs are free, and almost all allow commercial use
  • Every number travels with its rate, period, reference and pixel size
  • Every map is validated before it is delivered
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14.3Lab Runs on Public Data

11stages run end to end with no errors
98.6%overall agreement on the water map check
-6.0 cma year of ground motion at a coastal power plant

Every figure comes from a lab run on public data, not from a client project.

Streams
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14.4How It Works

Data, features, decision and trust, from a catalogue search to a file a client system can read

semaiGEO pipeline: free satellite data, then discover and prepare, features, decision and trust, landing in client screens, client GIS and the engineer console
Streams
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14.5Subsidence Monitor, From Config to Screen

One config per area; a person picks the radar frame and reference area; monthly updates

semaiGEO subsidence monitor: area config, discover, optical, ground motion, water history, validate and deliver, feeding the velocity map, flood-history panel, accuracy note and tile server
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14.6Solution Architecture Overview

semaiGEO Solution Architecture Overview: inputs and open data sources, run control, processing pipeline, trust and delivery, screens, outputs, open questions and the people who run it
What SEMAI builds and runs: run control, the processing pipeline, trust and delivery, and the screens. Inputs and open data sources come in on the left; tiles, files, rate cards and ranked sites go out on the right. Questions still open are marked with a number.
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14.7Client Screen: Subsidence Monitor

semaiGEO subsidence monitor mockup: vertical ground velocity around a coastal power plant, the rate card, the displacement time series, the water history and the caveats
Subsidence monitor, drawn from a lab run on public data (mockup).
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14.8Client Screen: Site Ranking

semaiGEO mockup, site ranking: suitability map within 15 km of a substation with the ten best patches numbered, the weights, the ranked patches and the criteria
Candidate sites around a grid point, ranked, with the reason for each score (mockup).
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14.9Client Screen: Biomass Supply

semaiGEO mockup, biomass supply: palm age map inside a 15 km supply circle, hectares by age class, the yield and conversion factors, and four readings of average megawatts
Palm by age inside the supply radius and the power it could support, with every factor exposed (mockup).
Streams
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Coming Soon 1Q 2027

semaiSM

Stakeholder Management

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15.1What semaiSM Does

  • Stakeholder database: persons, organisations and groups, with tiered profile fields
  • Social and stakeholder mapping: power and interest, salience, vulnerable groups
  • Relationship and network map: ties, brokers and paths
  • Log, commitments register and grievance log, from meeting to close-out
  • Relationship calendar, with a guard that blocks items of value to officials
  • Reports regulators ask for, regenerated from the records
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15.2Why semaiSM

  • The 2025 PROPER criteria score a social mapping document of actors, ties, power and interest, and vulnerable groups
  • PP 39/2025 puts social mapping results into the PPM master plan
  • AA1000SES: the owners of the engagement shall profile and map their stakeholders
  • UU PDP has no exemption for public data: tiered profiling, notice and objection are built in
  • Runs on your own servers; only the flows you choose leave the premises
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15.3One System, Ten Modules

10modules, from database to reports
4field tiers, from public role to not collected
13screens specified as a clickable mockup
Streams
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15.4How It Works

One new village head, from the first news item to the social map (fictional people and village)

semaiSM worked example: capture the news, reviewer approves, public-role profile, power and interest, meeting logged, two commitments, consent for one field, ties and broker, notice and objection, grievance closed, birthday greeting, social mapping report
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15.5Solution Architecture Overview

semaiSM Solution Architecture Overview: field contact, public sources and reference publishers on the left; modules M1 to M10, platform services and data stores inside the on-premise boundary; your CSR application, the reply receiver in the DMZ, messaging, email and optional links on the right; documents out; the people who use it along the bottom
Ten modules and five platform services inside one boundary on your premises. Your CSR application sits on your company network; messaging and email sit outside, with the optional sign-in and calendar links dashed. Questions still open are marked with a question mark.
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15.6Data Protection by Design

What may enter a profile, on what basis, and what may leave as a greeting

semaiSM data protection by design: public sources pass the reviewer gate, field contact passes the lawful basis gate, greeting plans pass the gratification guard; profile tiers and greetings out
Streams
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15.7Relationship and Network Map

semaiSM Relationship and Network Map screen: persons and groups around a village, ties between them, and the village head marked as the actor with the highest betweenness
Relationship and Network Map, with fictional sample data (mockup).
Streams
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15.8Person Profile

semaiSM Person Profile: a village head's fields grouped in four tiers, public role, relationship, personal restricted and not collected, with notice and objection status
Fields grouped by tier; personal fields shown only on a logged reveal, family never collected. Fictional sample data.
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15.9Greeting and Gratification Guard

semaiSM greeting draft: a birthday greeting to a village head, the Add parcel control blocked outright and the gratification guard check
A greeting in words passes; a parcel to an official is blocked outright. Fictional sample data.
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Chapter 16

semaiX

Custom App Development Services and Inhouse Enablement

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16.1The App You Really Need and Want

  • Start with the NDA & Joint Planning Workshop
  • Design it with you as a high-fidelity clickable prototype
  • Walk it through with your people, seat by seat, scenario by scenario
  • Build it, test it, and monitor it
  • Enable your own team to run it
The semaiX clickable prototype at alpha.semaix.com on a phone, in walkthrough 2: Request leave is highlighted, and a card says what the presenter does and what the audience sees
Streams
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16.2What semaiX Does

Design and walkthroughs with you, so you get what you really need and want: then we build it, and enable your own team to run it.

High-Fidelity Clickable PrototypeEvery screen your people will use, clickable, with demo data. The live example at alpha.semaix.com has 273 screens in 12 modules.
Walkthroughs with Your Team32 guided walkthroughs in the live example: what the presenter does and what the audience sees, step by step, with the normal path and the exceptions.
Custom App DevelopmentBuilt from the agreed design, and connected to the systems you already run.
Standup, Tests and SecurityDaily standup and project tracking, test-driven development with test case management, and cyber security monitoring of our and clients' apps.
Training ProgramsInhouse tech training, customizable to your needs; for example AI for Productivity, where each participant leaves with one live use case from their own function.
Long-Term Enablement ProgramStaying with what we delivered, after go-live, so your own team keeps growing with it.
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16.3How It Works

Start with the NDA & Joint Planning Workshop, design and walk it through with you, build it, then enable your own team.

semaiX: Design with you, build, inhouse enablement
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16.4Live Example: alpha.semaix.com

  • A clickable prototype of a complete company workspace
  • 273 screens in 12 modules, demo data on every screen
  • 32 guided walkthroughs
  • What the presenter does and what the audience sees, step by step
The walkthrough picker of the semaiX prototype on a phone: a search field and walkthroughs 1 to 12, from First Sign-in Goes to TOSCA to Requisition to Payment and Bank Reconciliation
32 guided walkthroughs, each with what the presenter does and what the audience sees.
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16.5Palm Oil Simulator

mill-sim.semai.id is part of semaiX. It shows SEMAI's capability to deliver applications that include fancy simulation like this one.

The mill simulation at mill-sim.semai.id running at 300x: trucks at the weighbridge of the 3D mill, the daily figures panel on the left and the weigh tickets as they are issued on the right
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16.6Inhouse Enablement

  • Training programs, customizable to your needs: example, AI for Productivity
  • Each participant leaves with one live use case from their own function
  • A long-term enablement program, staying with what we delivered after go-live

Inhouse Tech. Training: Example, AI for Productivity

Customizable to your needs. The program is a single stack of capabilities:

  • Basic prompting comes first (structuring and iterating any prompt), because everything above depends on it.
  • Participants then learn to choose between ChatGPT, Gemini and Claude, to query internal documents with citations through NotebookLM, to extend AI to internal data and systems, and to generate an n8n workflow.
  • The objectives are identical across all four clusters; only the use case changes: a board summary for Management, an HSE report for Operation, a contract for Backoffice, a campaign brief for BD, Marketing & Sales.
  • Each participant leaves with one live use case from their own function.
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Chapter 17

semaiSERVICES

Instrumentation, Automation (PLC, DCS) and ERP Integration

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17.1Software / AI Engineering & Plant Automation

The other services not covered by semaiX, including instrumentation, automation (PLC, DCS, and so on) and ERP integration.

SCADA screen of the sterilizer station: four sterilizers with status, pressure and valvesSCADA screen of the digester and press station: six screw presses with current, temperature and status
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17.2Our Day-to-Day Practice

Our day-to-day practice: daily standup, project tracking, test-driven development and test case management.

Sprint 11 project board with Open, In Progress, Review, Test and Closed columnsTest case management system: Sprint 11 test results marked Passed, with the test steps
Streams
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17.3Cyber Security Vigilance

Cyber security vigilance: we monitor our and clients' apps. Our IT, data security & privacy policy.

Application monitoring dashboard: total, valid and failed requests, and unique visitors per dayTable of contents of the IT, data security & privacy policy (Confidential)
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Chapter 18

Digital Dispatch at Scale

semaiADIS case study

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18.1The Situation

  • An Indonesian palm oil group moving bulk liquid product
  • 18 dispatch sites, 11 mills, 4 bulk terminals and more
  • Certification rules require delivery data traceable end to end
  • Previously on paper: notes retyped, logs recopied
semaiADIS mobile app, Loading screen for truck KT001CSJ: product CPO, source tank ST04, RSPO and ISCC SCC model MB, and the seal codes for manhole 1 and valve 1
Loading: source tank, RSPO and ISCC model, and seal codes, recorded once in the app.
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18.2The semaiADIS Dispatch Flow

semaiADIS dispatch flow: gate in, weigh in, loading, weigh out and gate out at the mill, transport with map tracking, and the same steps at the bulk terminal, with the mobile app, one-time record, traceability, dashboard and paperless audit below
Gate in, weigh in, loading, weigh out and gate out, each recorded as it happens.
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18.3Measured Against the Group's Own Before-State

82% average efficiency gain across measured activities

ActivityBefore → afterGain
Gate: truck queue, in/out times3m 15s → 3s
98%
Driver & vehicle legality check3h → 5 min
97%
Dispatch note entry, recap, print2m 55s → 36s
79%
Admin retrieval for audit & archive30 min → 10 min
67%

Paper cost down Rp 13.3 million per year.

Streams
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18.4Progress and Savings

82%average efficiency gain across measured activities
12 of 18sites live, 67% of the program
Rp 13.3 millionpaper cost saved per year
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18.5Controls That Outlast the Clock

  • No unit can load until the daily plan is approved
  • An unregistered vehicle cannot be processed
  • Tonnage is no longer distorted by fuel weight
semaiADIS management dashboard for mill PKS 4: CPO and PKO progress rings with planned, sent and received kilograms, and a bar chart of planned against received per day
Planned, sent and received, for CPO and PKO.
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Chapter 19

NDPE Traceability with ITB

Joint research & real field implementation, funded by BPDP

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19.1The Project

  • Joint research with ITB (Institut Teknologi Bandung)
  • Real field implementation, for NDPE traceability
  • Funded by BPDP
  • Built on semaiPRO, from tree to mill
semaiPRO block map on satellite imagery: estate blocks A0001 to A0029
Block map: every block, A0001 to A0029, on one screen.
Streams
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19.2Tree-to-Mill Traceability

Architecture for NDPE traceability with ITB, funded by BPDP: field mobile apps, AI and knowledge services, web app for stakeholders, tree-to-mill traceability
Field mobile apps, AI and knowledge services, and a web app for stakeholders.
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19.3Who It Reaches

  • Cooperatives, farmer groups and independent smallholders
  • Field-to-screen visibility and control
  • Multiple stakeholders share one web view
semaiPRO production dashboard: total area and total production, production gauges per estate, beside a satellite map of the estate blocks
Total area, total production and production per estate, beside the block map.
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19.4semaiPRO: Field-to-Screen Digitization

semaiPRO harvest history (Riwayat Panen): each harvest with its photo, date, block, TPH, bunches and kg
Each harvest with its photo, date, recorder, block, TPH, bunches (JJG) and kg.
Streams
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Let's Build #SmarterEnterprise
Thank You!
PT. Semai Raya Internasional
Satrio Tower, 25th Floor
Jln. Prof. Dr. Satrio Kav C4, Jakarta 12950, Indonesia
Web: semai.id Email: contact@semai.id
Phone: +62 21 576 3020 WA: +62 811-8885-6060
2026 © Copyright - PT Semai Raya Internasional