Orebit GeoSuite

Offline Mineral Exploration & Resource Estimation Suite
Suite Eksplorasi Mineral & Estimasi Sumber Daya Luring

CoreAssay Resource3 Modules 33 Features100% Offline

Version v2.5.1 · June 2026 · orebit.id

Phase 1

Orebit Core

Persiapan Data Lubang Bor

Validate · Composite · Desurvey · Export

1.1

Interactive Tutorial

Tutorial Interaktif

ENStep-by-step guided tour on first launch. Covers data upload, column mapping, and all major features. Can be replayed anytime from the help button.

IDTur panduan langkah-demi-langkah saat pertama kali dibuka. Mencakup unggah data, pemetaan kolom, dan semua fitur utama. Dapat diputar ulang kapan saja dari tombol bantuan.

Interactive Tutorial screenshot — Figure 1.1 — Interactive Tutorial

1.2

CSV Data Upload

Unggah Data CSV

ENDrag-and-drop or click to upload collar, survey, assay, and geology CSV files. Auto-detects column names and data types with smart mapping.

IDSeret-dan-lepas atau klik untuk mengunggah file CSV collar, survey, assay, dan geologi. Mendeteksi nama kolom dan tipe data secara otomatis.

CSV Data Upload screenshot — Figure 1.2 — CSV Data Upload

1.3

Data Table View

Tampilan Tabel Data

ENInteractive sortable table with search, filter, and column visibility controls. Supports pagination for large datasets.

IDTabel interaktif yang dapat diurutkan dengan pencarian, filter, dan kontrol visibilitas kolom. Mendukung paginasi untuk dataset besar.

Data Table View screenshot — Figure 1.3 — Data Table View

1.4

Survey Data Management

Manajemen Data Survey

ENView and validate survey measurements (azimuth, dip, depth). Highlights missing or inconsistent survey intervals.

IDLihat dan validasi pengukuran survey (azimuth, dip, kedalaman). Menyorot interval survey yang hilang atau tidak konsisten.

Survey Data Management screenshot — Figure 1.4 — Survey Data Management

1.5

Desurvey Calculation

Kalkulasi Desurvey

ENConverts survey station data into 3D coordinates using minimum curvature method. Calculates X, Y, Z at any sample depth.

IDMengkonversi data stasiun survey ke koordinat 3D menggunakan metode kurvatur minimum. Menghitung X, Y, Z pada kedalaman sampel manapun.

Desurvey Calculation screenshot — Figure 1.5 — Desurvey Calculation

1.6

Cross-Section Visualization

Visualisasi Penampang

ENInteractive 2D cross-section along any drillhole trace. Shows lithology, assay values, and composite intervals.

IDPenampang 2D interaktif di sepanjang jejak lubang bor manapun. Menunjukkan litologi, nilai assay, dan interval komposit.

Cross-Section Visualization screenshot — Figure 1.6 — Cross-Section Visualization

1.7

Composite Calculation

Kalkulasi Komposit

ENLength-weighted compositing with configurable interval length. Handles capping, missing data, and domain boundaries.

IDKomposit berbobot panjang dengan interval yang dapat dikonfigurasi. Menangani pembatasan, data hilang, dan batas domain.

Composite Calculation screenshot — Figure 1.7 — Composite Calculation

1.8

Merge & Export

Gabung & Ekspor

ENMerge collar, survey, assay, and geology into a single analysis-ready table. Export as CSV for Phase 2.

IDGabungkan collar, survey, assay, dan geologi ke satu tabel siap analisis. Ekspor sebagai CSV untuk Fase 2.

Merge & Export screenshot — Figure 1.8 — Merge & Export

1.9

PDF Report

Laporan PDF

ENGenerate professional PDF report with data summary, statistics, and cross-section plots. Bilingual (EN/ID).

IDBuat laporan PDF profesional dengan ringkasan data, statistik, dan grafik penampang. Dwibahasa (EN/ID).

PDF Report screenshot — Figure 1.9 — PDF Report

Phase 2

Orebit Assay

Suite EDA Pemboran

Stats · Top-Cut · Domain · KCMI Auto-Fill

2.1

Interactive Tutorial

Tutorial Interaktif

ENGuided walkthrough of EDA workflow: upload → preview → analysis → composite → domain → report.

IDPanduan langkah-demi-langkah alur EDA: unggah → pratinjau → analisis → komposit → domain → laporan.

2.2

Data Upload & Preview

Unggah & Pratinjau Data

ENUpload composite data from Phase 1 or standalone CSV. Preview data distribution and quality before analysis.

IDUnggah data komposit dari Fase 1 atau CSV mandiri. Pratinjau distribusi dan kualitas data sebelum analisis.

Data Upload & Preview screenshot — Figure 2.2 — Data Upload & Preview

2.3

Data Preview

Pratinjau Data

ENSummary statistics, missing value detection, and data type validation. Shows histogram of each numeric column.

IDStatistik ringkasan, deteksi nilai hilang, dan validasi tipe data. Menunjukkan histogram setiap kolom numerik.

Data Preview screenshot — Figure 2.3 — Data Preview

2.4

Bivariate Analysis

Analisis Bivariat

ENScatter plots with correlation coefficients. Supports log-scale, regression lines, and outlier highlighting.

IDDiagram sebar dengan koefisien korelasi. Mendukung skala log, garis regresi, dan penyorotan pencilan.

Bivariate Analysis screenshot — Figure 2.4 — Bivariate Analysis

2.5

Multivariate Analysis

Analisis Multivariat

ENCorrelation heatmap, parallel coordinates, and PCA biplot for multi-element relationship exploration.

IDPeta korelasi, koordinat paralel, dan biplot PCA untuk eksplorasi hubungan multi-elemen.

Multivariate Analysis screenshot — Figure 2.5 — Multivariate Analysis

2.6

Drill Spacing Analysis

Analisis Spasi Pemboran

ENVariogram-based drill spacing optimization. Shows semi-variogram cloud and experimental variogram.

IDOptimasi spasi pemboran berdasarkan variogram. Menunjukkan awan semi-variogram dan variogram eksperimental.

Drill Spacing Analysis screenshot — Figure 2.6 — Drill Spacing Analysis

2.7

Composite Analysis

Analisis Komposit

ENRe-composite with configurable interval. Shows grade distribution by composite length.

IDKomposit ulang dengan interval yang dapat dikonfigurasi. Menunjukkan distribusi grade berdasarkan panjang komposit.

Composite Analysis screenshot — Figure 2.7 — Composite Analysis

2.8

Descriptive Statistics

Statistik Deskriptif

ENComprehensive statistics: mean, median, std dev, skewness, kurtosis, quantile table, and box plots.

IDStatistik komprehensif: rata-rata, median, deviasi standar, skewness, kurtosis, tabel kuantil, dan diagram kotak.

Descriptive Statistics screenshot — Figure 2.8 — Descriptive Statistics

2.9

Top-Cut Analysis

Analisis Top-Cut

ENOutlier detection and top-cutting using percentile, MAD, and cumulative frequency methods. Impact comparison.

IDDeteksi pencilan dan pemotongan atas menggunakan metode persentil, MAD, dan frekuensi kumulatif. Perbandingan dampak.

Top-Cut Analysis screenshot — Figure 2.9 — Top-Cut Analysis

2.10

Lithology Analysis

Analisis Litologi

ENGrade distribution by lithology. Statistical tests for lithological domain validation.

IDDistribusi grade berdasarkan litologi. Uji statistik untuk validasi domain litologi.

Lithology Analysis screenshot — Figure 2.10 — Lithology Analysis

2.11

Domain Definition

Definisi Domain

ENDefine estimation domains based on lithology, grade ranges, or spatial boundaries. Export domain codes.

IDDefinisikan domain estimasi berdasarkan litologi, rentang grade, atau batas spasial. Ekspor kode domain.

Domain Definition screenshot — Figure 2.11 — Domain Definition

2.12

KCMI Auto-Fill Report

Laporan KCMI Otomatis

ENAuto-generates KCMI/JORC compliant report sections: data quality, sampling, QAQC, and mineral resource statement.

IDBuat otomatis bagian laporan yang sesuai KCMI/JORC: kualitas data, sampling, QAQC, dan pernyataan sumber daya mineral.

KCMI Auto-Fill Report screenshot — Figure 2.12 — KCMI Auto-Fill Report

Phase 3

Orebit Resource

Suite Estimasi Sumber Daya

Variography · Kriging · Classification · KCMI Report

3.1

Interactive Tutorial

Tutorial Interaktif

ENGuided walkthrough of estimation workflow: setup → variography → block model → kriging → validation → report.

IDPanduan langkah-demi-langkah alur estimasi: pengaturan → variografi → model blok → kriging → validasi → laporan.

3.2

Data Upload

Unggah Data

ENImport composite data with domain codes. Supports multiple elements for co-estimation.

IDImpor data komposit dengan kode domain. Mendukung beberapa elemen untuk ko-estimasi.

Data Upload screenshot — Figure 3.2 — Data Upload

3.3

Estimation Setup

Pengaturan Estimasi

ENConfigure search parameters, kriging type (OK/SK/IDW), block size, and estimation domains.

IDKonfigurasi parameter pencarian, tipe kriging (OK/SK/IDW), ukuran blok, dan domain estimasi.

Estimation Setup screenshot — Figure 3.3 — Estimation Setup

3.4

Variography

Variografi

ENInteractive variogram modeling. Fit experimental variogram with nugget, spherical, and exponential models.

IDPemodelan variogram interaktif. Sesuaikan variogram eksperimental dengan model nugget, spherical, dan eksponensial.

Variography screenshot — Figure 3.4 — Variography

3.5

Block Model

Model Blok

EN3D block model construction with parent/sub-block support. Shows block dimensions and search ellipsoid.

IDKonstruksi model blok 3D dengan dukungan blok induk/anak. Menunjukkan dimensi blok dan elipsoid pencarian.

Block Model screenshot — Figure 3.5 — Block Model

3.6

Kriging Estimation

Estimasi Kriging

ENOrdinary Kriging with search parameters. Shows kriging weights, estimation variance, and grade map.

IDKriging Ordiner dengan parameter pencarian. Menunjukkan bobot kriging, varian estimasi, dan peta grade.

Kriging Estimation screenshot — Figure 3.6 — Kriging Estimation

3.7

Cross-Validation

Validasi Silang

ENLeave-one-out cross-validation with scatter plot, error statistics, and kriging efficiency metrics.

IDValidasi silang leave-one-out dengan diagram sebar, statistik error, dan metrik efisiensi kriging.

Cross-Validation screenshot — Figure 3.7 — Cross-Validation

3.8

Resource Classification

Klasifikasi Sumber Daya

ENAutomatic classification into Measured/Indicated/Inferred based on drill spacing and kriging variance.

IDKlasifikasi otomatis ke Terukur/Terindikasi/Terinferensi berdasarkan spasi pemboran dan varian kriging.

Resource Classification screenshot — Figure 3.8 — Resource Classification

3.9

Tonnage-Grade Curve

Kurva Tonnage-Grade

ENCut-off grade sensitivity analysis. Shows tonnage, grade, and metal content at various cut-offs.

IDAnalisis sensitivitas grade potong. Menunjukkan tonnage, grade, dan kandungan logam pada berbagai grade potong.

Tonnage-Grade Curve screenshot — Figure 3.9 — Tonnage-Grade Curve

3.10

3D Block Model View

Tampilan Model Blok 3D

ENInteractive 3D visualization of the block model with grade coloring, slice planes, and drillhole traces.

IDVisualisasi 3D interaktif model blok dengan pewarnaan grade, bidang irisan, dan jejak lubang bor.

3D Block Model View screenshot — Figure 3.10 — 3D Block Model View

3.11

KCMI Compliance

Kepatuhan KCMI

ENKCMI/JORC checklist auto-fill. Validates estimation methodology against Indonesian mining standards.

IDIsi otomatis checklist KCMI/JORC. Validasi metodologi estimasi terhadap standar pertambangan Indonesia.

KCMI Compliance screenshot — Figure 3.11 — KCMI Compliance

3.12

PDF Report

Laporan PDF

ENComprehensive estimation report: variogram parameters, block model summary, resource statement, and tonnage-grade curves.

IDLaporan estimasi komprehensif: parameter variogram, ringkasan model blok, pernyataan sumber daya, dan kurva tonnage-grade.

Appendix A — System RequirementsPersyaratan Sistem

Minimum Requirements / Persyaratan Minimum

Operating System / Sistem Operasi

Windows 10+, macOS 10.15+, Linux (any modern distro)

Browser / Peramban

Chrome 90+, Firefox 90+, Edge 90+, Safari 15+

RAM

4 GB minimum, 8 GB recommended for large datasets

Disk Space / Ruang Disk

~50 MB per phase (HTML file size)

Internet / Internet

Not required — 100% offline / Tidak diperlukan — 100% luring

Installation / Instalasi

None — just open the HTML file / Tidak ada — buka file HTML saja

EXE Version (Windows) / Versi EXE (Windows)

ENThe EXE wrapper provides a standalone desktop experience. No browser needed. Just double-click the .exe file.

IDPembungkus EXE memberikan pengalaman desktop mandiri. Tidak perlu peramban. Cukup klik dua kali file .exe.

Requires: Windows 10+ (64-bit) · Size: ~16 MB per phase · Uses embedded Chromium via pywebview

Data Format / Format Data

All phases use standard CSV files with the following expected columns:

Collar

HOLE_ID, X, Y, Z, DEPTH (or END_DEPTH)

Survey

HOLE_ID, DEPTH, AZIMUTH, DIP

Assay

HOLE_ID, FROM, TO, element columns (e.g., Cu, Au, Zn)

Geology

HOLE_ID, FROM, TO, LITHOLOGY (or ROCK_TYPE)

Column names are auto-detected. Common aliases (e.g., HOLEID, HOLE, BHID for HOLE_ID) are supported. / Nama kolom dideteksi otomatis. Alias umum (misal HOLEID, HOLE, BHID untuk HOLE_ID) didukung.

Appendix B — Quick Start GuidePanduan Cepat

Step 1: Open the HTML File / Langkah 1: Buka File HTML

ENDouble-click the HTML file (e.g., Drillhole-Prep.html). It opens in your default browser. No server, no installation.

IDKlik dua kali file HTML (misal Drillhole-Prep.html). Terbuka di peramban default. Tanpa server, tanpa instalasi.

Step 2: Load Sample Data / Langkah 2: Muat Data Contoh

ENClick "Load Sample Data" on the welcome screen to explore with the included Thalanga VMS dataset (28 holes, 3,141 samples).

IDKlik "Muat Data Contoh" di layar selamat datang untuk menjelajahi dataset Thalanga VMS (28 lubang, 3.141 sampel).

Step 3: Upload Your Data / Langkah 3: Unggah Data Anda

ENClick "Upload CSV" and drag your collar, survey, assay, and geology files. Column names are auto-mapped.

IDKlik "Unggah CSV" dan seret file collar, survey, assay, dan geologi Anda. Nama kolom dipetakan otomatis.

Step 4: Navigate Tabs / Langkah 4: Navigasi Tab

ENUse the vertical sidebar on the left to switch between tabs. Each tab represents a workflow step.

IDGunakan sidebar vertikal di kiri untuk beralih antar tab. Setiap tab mewakili langkah alur kerja.

Step 5: Save Your Project / Langkah 5: Simpan Proyek

ENClick "Save Project" to save your work as an .orebit bundle. Reload it anytime to continue.

IDKlik "Simpan Proyek" untuk menyimpan pekerjaan sebagai bundel .orebit. Muat ulang kapan saja untuk melanjutkan.

Tip / Tips: All processing happens on your computer. Your data never leaves your computer. This is by design — your exploration data is confidential. Semua pemrosesan terjadi di peramban Anda. Data Anda tidak pernah meninggalkan komputer Anda. Ini sengaja — data eksplorasi Anda bersifat rahasia.

Appendix C — Privacy & LicensePrivasi & Lisensi

Privacy First / Privasi Utama

✓ No data collection — zero analytics, zero telemetry, zero tracking✓ Tidak ada pengumpulan data — nol analitik, nol telemetri, nol pelacakan
✓ No server communication — all computation is client-side✓ Tidak ada komunikasi server — semua komputasi sisi klien
✓ No external dependencies — all libraries embedded (Plotly, jsPDF, html2canvas)✓ Tidak ada dependensi eksternal — semua pustaka tertanam
✓ CSP-locked — Content Security Policy blocks all external connections✓ CSP terkunci — Kebijakan Keamanan Konten memblokir semua koneksi eksternal
✓ Works offline — no internet connection required after download✓ Bekerja luring — tidak perlu koneksi internet setelah unduh

License / Lisensi

Single-Purchase License. Licensed to the purchaser for their personal/business use. Lisensi Sekali Beli. Dilisensikan kepada pembeli untuk penggunaan pribadi/bisnis mereka.

JORC/KCMI Note: This software is a data preparation and estimation aid. It does NOT replace Competent Person review. All resource estimates must be validated by a qualified geologist before inclusion in public reports. Catatan JORC/KCMI: Perangkat lunak ini adalah alat bantu persiapan data dan estimasi. TIDAK menggantikan tinjauan Orang Kompeten. Semua estimasi sumber daya harus divalidasi oleh geolog yang berkualifikasi sebelum dimasukkan dalam laporan publik.

Version History / Riwayat Versi

Version

Date

Highlights

v2.5.1

June 2026

Unified 3-module GeoSuite manual, refreshed UI screenshots, expanded KCMI auto-fill, survey continuity badge fix, performance & stability updates

v2.4.0

May 2026

Resource module 3D viewer improvements, swath plots, declustering options

v2.2.0

Apr 2026

Bilingual i18n (EN/ID), EXE builds, JORC/KCMI disclaimers, IndexedDB project system

Thank you for choosing Orebit GeoSuite v2.5.1. Terima kasih telah memilih Orebit GeoSuite v2.5.1.
— Ghozian Karami, founder @ Orebit · orebit.id