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Progresif: Jurnal Ilmiah Komputer
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Banjarbaru
ISSN : 02163284     EISSN : 26850877     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Progresif: Jurnal Ilmiah Komputer adalah Jurnal Ilmiah bidang Komputer yang diterbitkan secara periodik dua nomor dalam satu tahun, yaitu pada bulan Februari dan Agustus. Redaksi Progresif: Jurnal Ilmiah Komputer menerima Artikel hasil penelitian atau atau artikel konseptual bidang Komputer.
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Articles 26 Documents
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Search results for , issue "Vol 22, No 1 (2026): Januari" : 26 Documents clear
Model Arsitektur Multi-Tenant Berbasis Role-Based Access Control pada Sistem Manajemen Waralaba Athallah, Muhammad Ifdal; Ayunda, Afifah Trista
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3374

Abstract

Franchise Management Systems (FMS) in Micro, Small, and Medium Enterprises (MSMEs) that use a multi-investor model frequently face fundamental issues such as information asymmetry and lack of accountability, mainly due to an inadequate single-owner architecture that hinders investors from validating transaction data. This research applied the Design Science Research (DSR) methodology to design a new FMS architecture model supported by three pillars: a multi-tenant architecture for data isolation, a granular Role-Based Access Control (RBAC) model for separating authority, and a database snapshotting pattern to ensure the integrity of historical data and financial reports. Functional and User Acceptance Testing (UAT) confirmed that the proposed artifact successfully provided real-time data transparency for investors, operational efficiency for branch managers, and centralized monitoring capability for central management. The main contribution of this study is the end-to-end integration of these three pillars, which is crucial for creating verified accountability within the franchise ecosystem.Keywords: Franchise Management System; Multi-Tenant Architecture; Role-Based Access Control; Data Transparency; Design Science Research. AbstrakSistem manajemen waralaba (FMS) pada UMKM dengan model multi-investor menghadapi masalah fundamental asimetri informasi dan kurangnya akuntabilitas akibat arsitektur single-owner yang tidak memadai, sehingga investor kesulitan memvalidasi data transaksi. Penelitian ini telah menerapkan metodologi Design Science Research (DSR) untuk merancang, mengimplementasikan, dan mengevaluasi sebuah artefak berupa model arsitektur FMS baru. Arsitektur ini ditopang oleh tiga pilar utama: arsitektur multi-tenant untuk isolasi data, model Role-Based Access Control (RBAC) granular untuk memisahkan wewenang, dan pola database snapshotting untuk integritas data historis. Hasil pengujian fungsional dan UAT secara konklusif memvalidasi bahwa artefak yang diusulkan berhasil menyediakan transparansi data real-time bagi investor, efisiensi operasional, dan kapabilitas pemantauan terpusat. Kontribusi utama penelitian ini adalah integrasi end-to-end dari ketiga pilar tersebut, yang krusial untuk menciptakan akuntabilitas yang terverifikasi dalam ekosistem waralaba.Kata kunci: Franchise Management System; Arsitektur Multi-Tenant; Role-Based Access Control; Transparansi Data; Design Science Research. 
Web Perizinan Tata Ruang dan Pemanfaatan Lahan Dinas PUPR Kudus Ikhwan, Muhammad Fahris Noor; Khotimah, Tutik; Putra, Indra Lina
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3471

Abstract

Spatial planning and land-use permit services at the Public Works and Spatial Planning Office (Dinas PUPR) of Kudus Regency still encounter obstacles due to manual procedures, including lengthy processing time, limited public access to information, and inefficient archive management. This study aims to develop a web-based spatial planning permit information system that supports permit submission, document management, verification and validation processes, and online monitoring of application status. The research employs a Research and Development method using the Rapid Application Development approach, implemented through requirement analysis, system design, prototype development, black box testing, User Acceptance Testing, and system refinement based on user feedback. System modeling is conducted using Data Flow Diagrams and Entity Relationship Diagrams to ensure alignment between functional requirements, process flows, and database structure. The results indicate that the developed system improves service efficiency, data organization, and transparency of the permitting process, while also enhancing accessibility of information for both the public and administrative staff. The system contributes to the improvement of digital-based public service quality within local government institutions.Keywords: Information system; Spatial planning permit; Land use; Rapid Application Development; Public serviceAbstrakPelayanan perizinan tata ruang dan pemanfaatan lahan di Dinas PUPR Kabupaten Kudus masih mengalami hambatan akibat penggunaan prosedur manual, antara lain keterlambatan proses, keterbatasan akses informasi bagi masyarakat, serta pengelolaan arsip yang kurang efisien. Penelitian ini bertujuan mengembangkan sistem informasi perizinan tata ruang berbasis website yang mampu mendukung pengajuan izin, pengelolaan dokumen persyaratan, proses verifikasi dan validasi, serta pemantauan status permohonan secara daring. Metode yang digunakan adalah Research and Development dengan pendekatan Rapid Application Development, yang dilaksanakan melalui tahapan analisis kebutuhan, perancangan sistem, pengembangan prototipe, pengujian black box dan User Acceptance Test, serta penyempurnaan sistem berdasarkan masukan pengguna. Pemodelan sistem dilakukan menggunakan Data Flow Diagram dan Entity Relationship Diagram untuk memastikan kesesuaian fungsi dan struktur data. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu meningkatkan efisiensi pelayanan, keteraturan pengelolaan data, transparansi proses perizinan, serta kemudahan akses informasi bagi masyarakat dan pegawai, sehingga mendukung peningkatan kualitas layanan publik berbasis digital.Kata kunci: Sistem informasi; Perizinan tata ruang; Pemanfaatan lahan; Rapid Application Development; Pelayanan publik
Pengembangan Aplikasi Sistem Pemesanan Digital Berbasis QR Barcode Menggunakan Metode Prototyping Sutawijaya, Bernard Limasta; Kurniawan, Rido Dwi
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3393

Abstract

Digital transformation at Can Ngopi Coffee Shop is urgently needed to address queue bottlenecks and manual recording errors in traditional systems. This study aims to analyze the implementation of a QR Barcode-based digital ordering system to enhance service efficiency. System development utilizes the Prototyping method, encompassing analysis, design, construction, and testing phases. Validation was conducted through User Acceptance Testing (UAT) and essay questionnaires for customers and managers. Testing results indicate that all functional features of the system, integrated with Point of Sales (POS), were accepted and functioned optimally. The system is proven effective in accelerating transaction processes, minimizing data errors, and improving the service quality of culinary MSMEs in the digital era.Keywords: QR Barcode; Prototyping; Service Efficiency; MSMEs, Point of Sales.
Prediksi Safety Stock Menggunakan Algoritma Support Vector Regression Dengan Optimasi Hyperparameter Hardika, Rianindya Chandra; Anggara, Fiky; Abrori, Mohammad Ahmad Maidanul
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3386

Abstract

Inventory management plays an essential role in ensuring smooth supply chain operations and preventing both stockouts and overstocking. One effective approach to determining the appropriate level of safety stock is the use of machine learning–based prediction methods. This study aims to predict safety stock values using the Support Vector Regression (SVR) method with hyperparameter optimization through GridSearch. The dataset used is a public bike rental dataset, which includes variables such as time, weather, season, and holidays. The research stages include data preprocessing, Exploratory Data Analysis (EDA), implementation of the SVR model, and model performance evaluation using MAE, MAPE, and R² metrics. The performance of the Support Vector Regression (SVR) algorithm with a Radial Basis Function (RBF) kernel and optimal parameters demonstrates strong predictive accuracy. Based on the Mean Absolute Percentage Error (MAPE), the model achieved prediction accuracies of 83.8%, 80.1%, and 81.7% on the training, validation, and testing datasets, respectively, indicating its effectiveness in modeling non-linear data. This model is capable of generating more precise safety stock predictions, thereby supporting decision-making in inventory planning and reducing the risk of stock shortages.Keywords: Safety Stock; Support Vector Regression; Demand Prediction; Hyperparameter Tuning AbstrakManajemen persediaan memiliki peran penting dalam menjaga kelancaran rantai pasok dan menghindari kekurangan maupun kelebihan stok. Salah satu pendekatan yang efektif untuk menentukan jumlah safety stock adalah dengan memanfaatkan metode prediksi berbasis machine learning. Penelitian ini bertujuan untuk memprediksi nilai safety stock menggunakan metode Support Vector Regression (SVR) dengan optimasi hyperparameter tuning melalui teknik GridSearch. Data yang digunakan merupakan dataset publik penyewaan sepeda yang mencakup variabel waktu, cuaca, musim, dan hari libur. Tahapan penelitian meliputi preprocessing data, analisis Exploratory Data Analysis (EDA), penerapan model SVR, serta evaluasi kinerja model menggunakan metrik MAE, MAPE, dan R². Hasil penelitian menunjukkan bahwa model SVR dengan kernel RBF dan parameter optimal menghasilkan tingkat akurasi prediksi yang baik. Berdasarkan nilai MAPE, model mencapai akurasi 83,8% pada data latih, 80,1% pada data validasi, dan 81,7% pada data uji, yang mengindikasikan kemampuan SVR dalam memodelkan data non-linear. Model ini mampu memprediksi kebutuhan safety stock lebih baik, sehingga dapat membantu pengambilan keputusan dalam perencanaan persediaan dan mengurangi risiko kekurangan stok.Kata kunci: Safety Stock; Support Vector Regression; Prediksi Permintaan; Hyperparameter Tuning
Model Aplikasi Pemesanan Menu Pada Coffee Shop Can Ngopi Andrew, Andrew; Kurniawan, Rido Dwi
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3379

Abstract

Manual ordering at Can Ngopi Coffee Shop often leads to communication errors and irregular queues, which necessitates the digitization of the service. This research aims to develop a website-based menu ordering application to improve operational efficiency. The system development used the Waterfall method, which encompasses the analysis, design, construction, and maintenance phases. Functionality validation was carried out through Black Box Testing. The test results showed that all the functionalities, such as the digital catalog and the shopping cart system, functioned effectively as required. The conclusion of the research confirms that this application effectively speeds up the transaction process, minimizes miscommunication between customers and staff, and facilitates management in monitoring sales reports in a structured manner.Keywords: Menu Ordering Application; Coffee Shop; Waterfall; Black Box Testing AbstrakPemesanan manual di Coffee Shop Can Ngopi sering memicu kesalahan komunikasi dan antrean tidak teratur, sehingga diperlukan digitalisasi layanan. Penelitian ini bertujuan membangun aplikasi pemesanan menu berbasis website untuk meningkatkan efisiensi operasional. Pengembangan sistem menggunakan metode Waterfall, meliputi tahap analisis, desain, konstruksi, hingga pemeliharaan. Validasi fungsionalitas fitur dilakukan melalui metode Black Box Testing. Hasil pengujian menunjukkan seluruh fitur, seperti katalog digital dan sistem keranjang, berjalan valid sesuai kebutuhan. Simpulan penelitian menegaskan bahwa aplikasi ini efektif mempercepat proses transaksi, meminimalisir miskomunikasi antara pelanggan dan staf, serta mempermudah manajemen dalam pemantauan laporan penjualan secara terstruktur. Kata kunci: Aplikasi Pemesanan Menu; Coffee Shop; Waterfall; Black Box Testing
Sistem Monitoring dan Kontrol Suhu Kandang Ayam Kalkun Yudha, Raka Gifaris Anega; Evanita, Evanita; Riadi, Aditya Akbar
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3236

Abstract

Turkey farming requires stable temperature and humidity management to maintain optimal growth and health. Manual monitoring often causes delays in handling environmental changes, which can reduce productivity. This study designs and implements a temperature and humidity monitoring and control system for turkey cages based on the Internet of Things (IoT). The system utilizes a NodeMCU ESP8266 microcontroller, a DHT11 sensor, and a relay module to automatically control a heating lamp according to temperature conditions. Data are transmitted to a server and displayed on a web-based dashboard accessible remotely, with additional notifications sent via WhatsApp. The development process applied a prototyping method, including hardware and software design, experiment and black-box testing. The results show that the system successfully maintains cage temperature within the ideal range of 28–32°C, displays real-time temperature and humidity data, and achieved a user satisfaction level of 91.25%. This system is considered effective in assisting farmers to monitor turkey cages more efficiently and responsively.Keywords: Internet of Things; Turkey farming; Temperature monitoring; Humidity; NodeMCU ESP8266.AbstrakPeternakan kalkun membutuhkan pengelolaan suhu dan kelembaban kandang yang stabil agar pertumbuhan dan kesehatan ternak tetap optimal. Pemantauan manual sering menimbulkan keterlambatan dalam penanganan perubahan suhu sehingga berpotensi menurunkan produktivitas. Penelitian ini merancang dan mengimplementasikan sistem monitoring serta kontrol suhu kandang kalkun berbasis Internet of Things (IoT). Sistem memanfaatkan mikrokontroler NodeMCU ESP8266, sensor DHT11, dan modul relay untuk mengendalikan lampu pemanas secara otomatis sesuai kondisi suhu. Data dikirimkan ke server dan ditampilkan pada dashboard web yang dapat diakses jarak jauh, serta dilengkapi notifikasi melalui WhatsApp. Metode pengembangan menggunakan pendekatan prototyping, meliputi perancangan perangkat keras, perangkat lunak, pengujian eksperimen dan pengujian Black box. Hasil pengujian menunjukkan sistem mampu menjaga suhu kandang dalam rentang ideal 28–32°C, menampilkan data suhu dan kelembaban secara real-time, serta memperoleh tingkat kepuasan pengguna sebesar 91,25%. Sistem ini dinilai efektif membantu peternak dalam memantau kondisi kandang kalkun secara lebih efisien dan responsif.Kata kunci: Internet of Things ; Kalkun; Monitoring suhu; Kelembaban; NodeMCU ESP8266.
Pengembangan Sistem Manajemen Indekos Griya Indira Terintegrasi WhatsApp Gateway dan Fitur Komunitas Saputra, Rizki Maulana; Jazuli, Ahmad; Wijayanti, Esti
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3504

Abstract

The reliance on manual recording in the operational management of Griya Indira has resulted in data redundancy, a high incidence of late payments, and uneven information distribution among residents. This study proposes the development of an integrated boarding house management system that synergizes the WhatsApp Gateway feature for automatic notifications with a digital community module. Utilizing the Rapid Application Development (RAD) method and Black Box Testing for functional verification, the system is designed to address administrative inefficiencies. The findings indicate that the implementation of Cron Job scheduling successfully transmits bill reminders in real-time and accurately validates digital payments. Based on functional testing results, the system is declared valid in executing centralized database mechanisms, sending automatic bill notifications on schedule, and facilitating single-door information distribution through community features according to design requirements.Keywords: Boarding House Management System; WhatsApp Gateway; Rapid Application Development; Auto-Reminder. AbstrakKetergantungan pada pencatatan manual dalam pengelolaan operasional Griya Indira berdampak pada redundansi data, tingginya insiden keterlambatan pembayaran, serta ketidakmerataan distribusi informasi kepada penghuni. Penelitian ini mengusulkan pengembangan sistem manajemen kos terintegrasi yang menyinergikan fitur WhatsApp Gateway untuk notifikasi otomatis dengan modul komunitas digital. Melalui pendekatan metode Rapid Application Development (RAD) dan verifikasi fungsional Black Box Testing, sistem dirancang untuk menangani inefisiensi administrasi. Temuan penelitian menunjukkan bahwa implementasi penjadwalan Cron Job berhasil mengirimkan pengingat tagihan secara real-time dan memvalidasi pembayaran digital secara akurat. Berdasarkan hasil pengujian fungsional, sistem dinyatakan valid dalam menjalankan mekanisme sentralisasi basis data, pengiriman notifikasi tagihan otomatis sesuai jadwal, serta memfasilitasi distribusi informasi satu pintu melalui fitur komunitas sesuai rancangan kebutuhan.Kata kunci: Sistem Manajemen Indekos; WhatsApp Gateway; Rapid Application Development; Auto-Reminder
Pemanfaatan Fitur Tambahan Emosi Untuk Deteksi Hate Speech Media Sosial Bahasa Indonesia Clement, Michael Joy; Irsyad, Hafiz
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3338

Abstract

This study examines the importance of incorporatring emotion features and enhancing the temporal robustness of hate-speech detection models to improve classification accuracy. The research aims to analyze the impact of emotion features on an IndoBERT based model and to evaluate the model’s adaptability using an unsupervised self-learning approach. The dataset consists of two corpora, a public dataset from 2019 and twitter data from 2025, each divided into training, validation, and test sets with an 80%, 10%, 10% split. Model performance is evaluated using accuracy, precision, recall and F1-score calculated from confusion matrix. Experimental results show that adding emotion features increases accuracy by 1-2% across all scenarios. In cross-temporal testing, the supervised model performance declines duet o linguistic shifts whereas the self-learning method improves accuracy up to 77.67%. These findings indicate that emotion features and self-learning effectively enhance the model’s ability to adapt to evolving language and social context.Keyword: Emotion; Hate speech detection; IndoBERT AbstrakPenelitian ini membahas pentingnya penambahan fitur emosi dan peningkatan ketahanan model deteksi ujaran kebencian terhadap perubahan bahasa lintas waktu guna memperkuat akurasi klasifikasi. Tujuan penelitian adalah menganalisis pengaruh fitur emosi pada model berbasis IndoBERT dan mengevaluasi kemampuan adaptasi model menggunakan pendekatan unsupervised self-learning. Data menggunakan dua korpus yaitu dataset publik tahun 2019 dan data Twitter tahun 2025, yang masing-masing dibagi menjadi data latih dan data latih, validasi, dan uji dengan proporsi 80%, 10%, dan 10%. Model dievaluasi menggunakan accuracy, precision, recall, dan F1-score yang dihitung melalui confusion matrix. Hasil pengujian menunjukkan bahwa penambahan fitur emosi meningkatkan akurasi sebesar 1-2% di seluruh skenario. Pada pengujian lintas waktu, performa model supervised menurun akibat perubahan konteks linguistik, namun metode self-learning meningkatkan akurasi hingga 77.67%. temuan ini menunjukkan bahwa fitur emosi dan self-learning efektif meningkatkan adaptasi model terhadap dinamika bahasa serta konteks sosial.Kata kunci: Seteksi ujaran kebencian; Emosi; IndoBERT
Penerapan Algoritma Decision Tree dalam Menentukan Kelayakan Penerima Bantuan Program Keluarga Harapan Mandala, Eka Praja Wiyata; Putri, Dewi Eka
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3494

Abstract

Determining the eligibility of beneficiaries for the Family Hope Program still faces targeting inaccuracies due to limited data analysis and subjective decision-making. This study aims to develop a Decision Tree–based classification model to objectively determine Family Hope Program eligibility using data-driven approaches. The dataset includes socio-economic attributes such as income, DTKS status, school-age children, pregnant or breastfeeding mothers, elderly members, disabilities, and occupation. The data were processed through cleaning, transformation, and splitting into training and testing sets. Experimental results show that the model achieved a highest accuracy of 96.00%, along with high precision and recall values. The resulting decision tree structure also provides interpretable rules to support decision-making. These findings demonstrate that the Decision Tree method is effective in improving the accuracy and transparency of Family Hope Program beneficiary selection.Keywords: Decision Tree; Family Hope Program; Classification; Data Mining; Social Assistance AbstrakPenentuan kelayakan penerima Program Keluarga Harapan masih menghadapi permasalahan ketidaktepatan sasaran akibat keterbatasan analisis data dan subjektivitas dalam pengambilan keputusan. Penelitian ini bertujuan mengembangkan model klasifikasi berbasis Decision Tree untuk menentukan kelayakan penerima Program Keluarga Harapan secara objektif dan berbasis data. Dataset yang digunakan mencakup atribut sosial ekonomi seperti pendapatan, status DTKS, usia sekolah, ibu hamil atau menyusui, lansia, disabilitas, dan pekerjaan. Data diproses melalui tahap pembersihan, transformasi, dan pembagian data latih dan uji. Hasil pengujian menunjukkan bahwa model mencapai akurasi tertinggi sebesar 96,00%, dengan presisi dan recall yang tinggi. Struktur pohon keputusan juga menghasilkan aturan yang mudah diinterpretasikan sebagai dasar pengambilan keputusan. Hasil ini membuktikan bahwa Decision Tree efektif untuk meningkatkan ketepatan dan transparansi penyaluran bantuan Program Keluarga Harapan.Kata kunci: Decision Tree; Program Keluarga Harapan; Klasifikasi; Data Mining; Bantuan Sosial 
Density-Based Spatial Clustering for Assessing Public Service Accessibility in Jombang Regency Lazulfa, Indana; Augusta Jannatul Firdaus, Reza; Andriani, Anita; Husein Hanafiyah, Muhammad; Karimatun Nisa', Lilis
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3248

Abstract

The problem of unequal accessibility to public services between subdistricts in Jombang can hinder medium, long-term equitable development. Good accessibility indicates justice and improvements in quality of life in the area. In some subdistricts, school and health facilities are easy to reach, whereas in other areas, mountainous regions or border areas, accessibility is very low. This study aims to map accessibility clusters, analyze the data, and provide recommendations for priority intervention area using DBSCAN. The variables include population density, ratios of health facility, education and administrative facilities per area, geospatial public datasets such as road network density, elevation/slope and rivers. The results show three accessibility clusters (high, medium, and low) with variations in geographical constraints such as hills and major rivers that affect the distribution of services. The visualization shows that low-accessibility areas are generally located in peripheral and mountainous regions, whereas high accessibility is concentrated in the regency center.Keywords: DBSCAN; Spatial clustering; Public service accessibility; Geospatial AbstrakPermasalahan ketimpangan aksesibilitas layanan publik antar kecamatan di Jombang dapat menghambat pemerataan pembangunan jangka menengah dan jangka panjang. Aksesibilitas yang baik mengindikasikan keadilan dan peningkatan kualitas hidup di wilayah tersebut. Di beberapa kecamatan, fasilitas sekolah dan kesehatan mudah dijangkau, sedangkan di daerah lain, pegunungan atau perbatasan, aksesibilitas sangat rendah. Kondisi ini menunjukkan adanya ketimpangan spasial yang perlu dianalisis lebih lanjut. Penelitian ini bertujuan untuk memetakan cluster aksesibilitas, menganalisis data hasil dan memberi rekomendasi lokasi prioritas intervensi. Clustering ini menggunakan metode DBSCAN. Variabel mencakup kepadatan penduduk, rasio fasilitas kesehatan, pendidikan, administrasi per wilayah, geospasial public dataset berupa kepadatan jaringan jalan, hambatan seperti elevasi/lereng dan sungai besar. Hasilnya terdapat tiga klaster aksesibilitas, yaitu tinggi, menengah, dan rendah, dengan variasi hambatan geografis seperti perbukitan dan sungai besar yang memengaruhi distribusi layanan. Visualisasi memperlihatkan bahwa daerah aksesibilitas rendah umumnya berada di wilayah pinggiran dan pegunungan, sedangkan aksesibilitas tinggi terkonsentrasi di pusat kabupaten.Kata kunci: DBSCAN; Spasial clustering; Aksesibilitas layanan public; Geospasial

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