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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Techno.Com: Jurnal Teknologi Informasi Jurnal Pseudocode Jurnal Edukasi dan Penelitian Informatika (JEPIN) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Khatulistiwa Informatika SMARTICS Journal NUSANTARA : Jurnal Ilmu Pengetahuan Sosial CYBERNETICS METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi BULETIN AL-RIBAATH Jurnal Tekno Insentif PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Teknika Innovation in Research of Informatics (INNOVATICS) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) INSERT: Information System and Emerging Technology Journal JUTECH : Journal Education and Technology Komatika: Jurnal Pengabdian Kepada Masyarakat JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) International Journal of Science and Environment SmartComp Jurnal Informatika Polinema (JIP) KREATIF: Jurnal Pengabdian Masyarakat Nusantara Jurnal Publikasi Teknik Informatika TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Rachmat Wahid Saleh Insani
Universitas Muhammadiyah Pontianak
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Penerapan Wordpress untuk Situs Web Organisasi Kwarda Kalimantan Barat Rachmat Wahid Saleh Insani; Barry Ceasar Octariady; Nisa Wulandari
Komatika: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2026): May 2026
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Institut Informatika Indonesia Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/komatika.v6i1.1326

Abstract

Gerakan Pramuka Indonesia merupakan organisasi pendidikan nonformal yang menyelenggarakan pendidikan kepanduan di Indonesia. Kwartir Daerah (Kwarda) Kalimantan Barat merupakan organisasi yang mengelola Gerakan Pramuka di tingkat Provinsi Kalimantan Barat. Kwarda Kalimantan Barat telah memiliki media sosial Instagram untuk mempublikasikan kegiatan Pramuka dalam bentuk teks, gambar, dan video pendek. Namun media sosial Instagram tidak dapat menampilkan teks yang panjang untuk kegiatan organisasi, tidak dapat melakukan pencarian teks untuk menemukan kegiatan tertentu, dan tidak bisa menstrukturkan informasi organisasi. Oleh karena itu, kegiatan PkM ini membangun sebuah situs web yang akan berisi profil dan berita kegiatan dari Kwartir Daerah Gerakan Pramuka Kalimantan Barat. Situs web akan dibangun menggunakan Content Management System (CMS) Wordpress oleh dosen dan mahasiswa dari Program Studi Teknik Informatika Fakultas Teknik dan Ilmu Komputer Universitas Muhammadiyah Pontianak. Website Kwarda Kalbar yang dibangun diharapkan dapat menjadi pusat informasi yang mendukung transparansi, dokumentasi kegiatan, dan promosi gerakan Pramuka di Kalimantan Barat. Kegiatan ini meupakan wujud nyata kolaborasi antara mahasiswa dan organisasi dalam memanfaatkan teknologi untuk kemajuan bersama.
IMPLEMENTASI METODE DEPTH FIRST SEARCH PADA SISTEM PAKAR KONSULTASI BANTUAN HUKUM CERAI GUGAT Rabbil Budiman; Rachmat Wahid Saleh Insani; Alda Cendekia Siregar
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 1 (2026): Volume 12 Nomor 1 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i1.5065

Abstract

The problem of divorce, especially in Pontianak city, has increased significantly, but community access to legal information and services is often hampered by a lack of legal understanding, creating a gap in justice that can lead to other social problems. Therefore, this research focuses on the development of an expert system that utilizes the depth first search (DFS) method to provide consultation results on legal issues of contested divorce based on the compilation of Islamic law. The research methods include problem identification, data collection through interviews with legal experts followed by design using the waterfall method to ensure the system runs well. The test results show that the depth first search method is able to provide fast and accurate consultation results regarding the problems faced by wives who want to divorce based on the results of testing the accuracy of the system by comparing the results of system diagnosis and experts obtained 80% results so it is concluded that the accuracy of the system made is considered successful.
Klasifikasi Status Gizi Balita Menggunakan Algoritma Random Forest Muhamad Angga Rizki Sabima; Barry Ceasar Octariadi; Rachmat Wahid Saleh Insani
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2415

Abstract

Nutritional problems in children under five remain a major challenge in Indonesia's health development as they can affect growth, cognitive abilities, and future productivity. The Indonesian Nutritional Status Survey (SSGI) serves as an important data source to understand the nutritional condition of children under five. This study aims to classify the nutritional status of children under five using the Random Forest algorithm with a Knowledge Discovery in Database (KDD) approach. The research stages include data cleaning, preprocessing, feature selection, modeling, and model performance evaluation. The data were obtained from Puskesmas Gang Sehat.The results indicate that Random Forest can classify the nutritional status of children under five with high accuracy for the majority class (Normal Nutrition), while performance for the minority class (Abnormal Nutrition) can still be improved. This demonstrates that the Random Forest algorithm is effective for classifying nutritional status, although optimizing data imbalance and adding supporting variables can enhance results for the minority class. This study is expected to contribute to the development of technology-based solutions for addressing nutritional issues in children under five.
Sistem Informasi Geografis Berbasis Web Untuk Pemetaan Penerima BPJS Dengan Algoritma Dijkstra Muhamad Reynaldi Rendi; Rachmat Wahid Saleh Insani; Asrul Abdullah
Jurnal Pseudocode Vol 13 No 1 (2026): Volume 13 Nomor 1 Februari 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.13.1.75-81

Abstract

The Sungai Raya Village apparatus faces challenges in managing BPJS beneficiaries due to the lack of mapping and route optimization tools. This research aims to build a web-based Geographic Information System (GIS) to visualize recipient locations and implement Dijkstra's Algorithm for determining the shortest visit routes. Developed using Laravel, MySQL, and Leaflet.js following the Waterfall methodology, the system successfully maps data with hamlet-based filtering features. Testing confirms that Dijkstra's Algorithm generates valid routes, which were verified against Google Maps. Black Box testing showed all functions perform correctly, and User Acceptance Testing (UAT) yielded a score of 81.75%. These results indicate the system effectively supports the efficiency of data verification and field visit planning.
SIG BERBASIS WEB UNTUK PEMETAAN DAN PENGUKURAN LUAS TANAH DENGAN METODE SHOELACE FORMULA Virgilius Dalta Suprias Nandigna; Asrul Abdullah; Rachmat Wahid Saleh Insani
NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Vol 13, No 8 (2026): NUSANTARA: Jurnal Ilmu Pengetahuan Sosial
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jips.v13i8.2026.2230-2237

Abstract

Pengelolaan aset dan pengukuran luas tanah di Desa Paloan masih dilakukan secara manual sehingga berpotensi menimbulkan kesalahan, sulit diverifikasi, dan kurang mendukung transparansi. Oleh karena itu, diperlukan sistem berbasis digital yang dapat membantu perangkat desa dalam memetakan aset sekaligus menghitung luas lahan secara otomatis. Penelitian ini bertujuan  membangun Sistem Informasi Geografis (SIG) berbasis web untuk pengelolaan aset desa serta menerapkan algoritma Shoelace Formula dalam perhitungan luas lahan berdasarkan titik koordinat. Metode penelitian yang digunakan meliputi studi pustaka, observasi lapangan, dan wawancara dengan perangkat desa. Pengambilan titik koordinat dilakukan menggunakan GPS Garmin GPSMap 78s. Sistem dikembangkan menggunakan framework Laravel sebagai backend, Leaflet JS untuk visualisasi peta interaktif, dan MySQL sebagai basis data. Perhitungan luas lahan dilakukan dengan menerapkan algoritma Shoelace Formula. Hasil implementasi menunjukkan bahwa sistem mampu mengelola data aset desa seperti tanah, bangunan, dan jalan secara terintegrasi melalui fitur CRUD, proses persetujuan oleh Kepala Desa, serta penyajian peta aset yang dapat diakses secara publik. Pengujian sistem menggunakan metode Blackbox Testing menunjukkan bahwa seluruh fungsi berjalan sesuai dengan kebutuhan pengguna. Selain itu, pengujian akurasi pengukuran luas lahan menunjukkan bahwa penerapan Shoelace Formula menghasilkan tingkat akurasi antara 98,16% hingga 98,83%. Sistem ini diharapkan dapat meningkatkan efisiensi, akurasi, dan transparansi dalam pengelolaan aset desa
Comparison Analysis of Equivalence Class Partitioning and Boundary Value Analysis Techniques in Software Quality Testing of ReservasiPolnep Application Zuhrie Alifiansyah; Syarifah Putri Agustini Alkadri; Rachmat Wahid Saleh Insani
Innovation in Research of Informatics (Innovatics) Vol 7, No 2 (2025): September 2025
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v7i2.16789

Abstract

Software testing is a crucial phase before the official launch of an application to ensure its functionality and quality. This study compares two black box testing techniquesEquivalence Class Partitioning (ECP) and Boundary Value Analysis (BVA)in identifying functional defects in the ReservasiPolnep application. The study involved testing key application features using both techniques, and results were measured using standard software testing metrics: test case coverage, success rates, test time, and cost per defect. The results showed that ECP is more time and cost-efficient, requiring only 26 test cases and 15 minutes 27 seconds per test, with a cost of Rp30 per defect and an 84.6% success rate. In contrast, BVA covers more test scenarios with 36 test cases, taking 27 minutes 5 seconds and costing Rp40 per defect, with a slightly higher success rate of 86.1%. The study concludes that each technique has advantages depending on the context, and highlights the need for input validation improvements in the application.
Prediksi Status Gizi Pada Balita Menggunakan Metode Long ShortTerm Memory Hizrah Azhari; Barry Ceasar Octariadi; Rachmat Wahid Saleh Insani
Jurnal Publikasi Teknik Informatika Vol. 4 No. 1 (2025): Januari: Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v4i1.5506

Abstract

The high prevalence of malnutrition among toddlers in Pontianak City, adversely affecting growth, cognitive function, and future human capital. Despite monitoring efforts, traditional methods remain slow and less accurate. The objective is to develop an early prediction system for toddler nutritional status using a Long Short-Term Memory (LSTM) model based on anthropometric data (weight, height, age, gender) from the Pontianak City Health Office. The methodology comprises an applied experimental quantitative design with the following stages: data collection and preprocessing (cleaning, normalization, train-test split), LSTM model architecture development, model training, and performance evaluation using accuracy, precision, recall, and F1-score metrics. The dataset includes 1,182 samples of toddlers aged 0–60 months. Training results yielded 82% accuracy, 98% precision, 82% recall, and an F1-score of 89% on the training set. On the test set, the model achieved 79% accuracy, 99% precision, 80% recall, and an F1-score of 89%, with a weighted average F1-score of 0.83 and a macro average F1-score of 0.71, indicating solid overall performance but highlighting the need for improvement in underrepresented classes. The study’s implications involve enhancing the effectiveness of toddler nutritional monitoring, enabling faster interventions by healthcare workers, and contributing academically to the development of AI-based applications in public health.
PREDIKSI OMZET PENJUALAN KIOS PANGAN MANDIRI BERDASARKAN FAKTOR PENJUALAN MENGGUNAKAN REGRESI LINEAR BERGANDA Dayang Nisa Anjani; Barry Ceasar Octariadi; Rachmat Wahid Saleh Insani
NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Vol 13, No 10 (2026): NUSANTARA: Jurnal Ilmu Pengetahuan Sosial
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jips.v13i10.2026.2482-2488

Abstract

Kios Pangan Mandiri merupakan toko sembako yang dikelola pemerintah provinsiKalimantanBaratmelaluidinasketahananpanganuntukmenjagastabilitas harga dan ketersediaan bahan pokok bagi masyarakat. Meskipun memiliki tujuan sosial, kios ini tetap menjalankan aktivitas operasional layaknya sebuah usaha. Permasalahan yang dihadapi adalah kios masih mengalami kesulitan dalam memperkirakan omzet pada periode mendatang, sehingga berisiko menimbulkan ketidaktepatan dalam pengelolaan keuangan. Penelitian ini bertujuan untuk menganalisis dan mengimplementasikan metode regresi linear berganda dalam memprediksi omzet penjualan pada Kios Pangan Mandiri, serta mengukur tingkat akurasinya. Data yang digunakan adalah data historis transaksi harian kios pada periode November 2023 hingga April 2026 dengan empat variabel independen, yaitu waktu, total barang terjual, awal bulan, dan hari besar. Sistem prediksi dibangunmenggunakanbahasapemrogramanPythondenganframeworkStreamlit sebagai antarmuka berbasis web, sedangkan evaluasi tingkat akurasi model dilakukanmenggunakanmetode Mean Absolute Percentage Error(MAPE).Hasil penelitianmenunjukkanbahwametode regresi linearberganda berhasil diterapkan dalammembangunsistemprediksiomzetdengannilaiMAPEsebesar5.22%,yang berdasarkantabelinterpretasiMAPEtermasukdalamkategoriprediksisangatbaik (MAPE10%).Halinimenunjukkanbahwametoderegresilinearbergandalayak digunakan sebagai dasar perencanaan pengelolaan keuangan dan pengambilan keputusan strategis pada Kios Pangan Mandiri.
Co-Authors Alamsyah, Dedi Alda Cendekia Siregar Angga Prima Syahputra Anggreini, Sella Anisa Anisa Anugrah Esa Putra Arfiyan, Fandika Roinaldi Asrul Abdullah Atta Tha Ariq Barry Caesar Octariadi Barry Ceasar Octariadi Barry Ceasar Octariadi Barry Ceasar Octariady Chatarina Umbul Wahyuni Dayang Nisa Anjani Dedy Trianto Eko Julianto Enkan Feny Nopitasari Ghaliq Candri Haki Gusti, Gusti Muhamad Adzaky Hizrah Azhari Iskandar Hadiatma Liovan Aji Airlangga Masroni Maulidawati Maulidawati MHD. Reza M.I. Pulungan Muhamad Angga Rizki Sabima Muhamad Reynaldi Rendi Muhammad Agus Muljanto Muhammad Hendri Nasim, Muhammad Nisa Wulandari PRAYOGI, ADITYA PUTU SUGIARTAWAN Rabbil Budiman Reyhan Roni, Roni Rustina, I Dewa Ketut Rai Sabima, Muhamad Angga Rizki Sucipto Sucipto Sumirah Sumirah Sumirah Sumirah Syarifah Putri Agustini Alkadri Syarifah Putri Agustini, Syarifah Putri Vika Ummu Hani Virgilius Dalta Suprias Nandigna Wahyu Fajar Wicaksono Wahyu Nugroho Ya' Ilham Eka Saputra Yanti Puspita Sari Yulrio Brianorman Zuhrie Alifiansyah