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All Journal Faktor Exacta Jurnal Informatika Universitas Pamulang Jurnal Teknologi Sistem Informasi dan Aplikasi JURNAL PENDIDIKAN TAMBUSAI Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Community Development Journal: Jurnal Pengabdian Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Bulletin of Computer Science Research INFORMATIKA KOMMAS: Jurnal Pengabdian Kepada Masyarakat Abdi Jurnal Publikasi Journal of Artificial Intelligence and Digital Business Journal of Research and Publication Innovation LOGIC : Jurnal Ilmu Komputer dan Pendidikan Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia OKTAL : Jurnal Ilmu Komputer dan Sains AMMA : Jurnal Pengabdian Masyarakat JRIIN :Jurnal Riset Informatika dan Inovasi Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) APPA : Jurnal Pengabdian Kepada Masyarakat Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen Jurnal Ilmu Komputer Jurihum
Zakaria, Hadi
Universitas Pamulang
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Implementation of PROMETHEE Method in Decision Support System for Student Competency Competition Participant Selection Muhamad Rezka Al Anshori; Hadi Zakaria
Bulletin of Computer Science Research Vol. 6 No. 4 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i4.1145

Abstract

The Student Competency Competition (Lomba Kompetensi Siswa/LKS) is a prestigious national-level event requiring vocational schools to select participants in an objective and measurable manner. However, the selection process at SMKN 1 Tangerang Selatan still relies on subjective teacher judgment and lacks comprehensive evaluation criteria, risking suboptimal decisions that may result in selected students being insufficiently competent for the competition. This research aims to design and implement a web-based Decision Support System (DSS) using the PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) method to support objective, structured, and transparent LKS participant selection. Three evaluation criteria were defined based on field interviews: Practicum Subject (K1), Logic Subject (K2), and Attendance (K3), each processed through pairwise preference comparisons using linear and usual preference functions with equal criterion weights. The system was developed using JavaScript (Node.js) and MongoDB, supporting four user roles with distinct access rights. System correctness was verified through Black Box Testing across 16 functional scenarios and White Box Testing of four algorithmic modules using Cyclomatic Complexity analysis, all of which passed successfully. The ranking results identified A3 as the top-recommended candidate with the highest Net Flow value of +0.2083, demonstrating the system's ability to surface competency dimensions overlooked by manual evaluation. Based on a questionnaire involving 20 respondents, the system achieved a user satisfaction score of 87.6%, categorized as very strong. These findings confirm that the PROMETHEE-based DSS is a reliable, practical, and deployment-ready tool for supporting participant selection in vocational school environments. The findings of this study offer a replicable methodological framework for vocational institutions seeking to standardize competition-based participant selection through multi-criteria decision support.
Penerapan Algoritma C4.5 Untuk Analisis Kepuasan Pelanggan Pada Apartemen Skyhouse BSD Joswan Surya Wijaya; Hadi Zakaria
LOGIC : Jurnal Ilmu Komputer dan Pendidikan Vol. 3 No. 6 (2025): Logic : Jurnal Ilmu Komputer dan Pendidikan
Publisher : Shofanah Media Berkah

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Abstract

Apartemen Skyhouse BSD merupakan hunian di kawasan BSD City, Tangerang Selatan, yang menghadapi tantangan dalam menganalisis tingkat kepuasan pelanggan secara akurat akibat ketiadaan sistem terintegrasi. Penelitian ini bertujuan mengembangkan sistem berbasis web untuk menganalisis tingkat kepuasan pelanggan menggunakan algoritma C4.5 Decision Tree dengan pendekatan model Agile. Data dikumpulkan dari 30 responden dengan enam atribut utama layanan, yaitu kualitas pelayanan, akses lokasi, harga, fasilitas apartemen, keamanan, dan kenyamanan lingkungan. Hasil penelitian menunjukkan bahwa atribut akses lokasi memiliki nilai Gain Ratio tertinggi sebesar 0,6343 dan menjadi faktor paling dominan dalam menentukan tingkat kepuasan pelanggan. Sistem mampu mengotomatisasi proses analisis survei dan menghasilkan klasifikasi dengan tingkat akurasi sebesar 86,7%. Penerapan model Agile mendukung proses pengembangan sistem yang iteratif dan adaptif. Dengan sistem ini, manajemen Apartemen Skyhouse BSD dapat memperoleh informasi berbasis data untuk meningkatkan kualitas layanan secara efektif.
Implementasi Algoritma K-Means Untuk Menentukan Dan Menyeleksi Penerima Zakat Menggunakan Model Dynamic Programming Berbasis Web Muhammad Shaleh; Hadi Zakaria
LOGIC : Jurnal Ilmu Komputer dan Pendidikan Vol. 3 No. 6 (2025): Logic : Jurnal Ilmu Komputer dan Pendidikan
Publisher : Shofanah Media Berkah

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Abstract

Masjid Nurul Falah merupakan masjid yang terletak di Desa Mekar Jaya, Kecamatan Sepatan, Kabupaten Tangerang, Banten. Masjid ini berperan penting dalam pengelolaan zakat, khususnya zakat fitrah. Namun, hingga saat ini, pengelolaan zakat fitrah di Masjid Nurul Falah masih dilakukan secara manual. Hal ini menyebabkan ketidaksesuaian dalam pemilihan penerima zakat, ketidakakuratan data, dan kurang optimalnya proses pendistribusian, sehingga mengakibatkan masyarakat yang seharusnya menerima zakat tidak mendapatkan haknya. Untuk mengatasi permasalahan tersebut, diperlukan suatu sistem yang mampu menentukan dan menyeleksi penerima zakat fitrah secara akurat di Masjid Nurul Falah, Desa Mekar Jaya. Pada penelitian ini, penulis menggunakan metode K-Means untuk menentukan dan menyeleksi data penerima zakat, serta pendekatan Dynamic Programming untuk pengembangan sistem berbasis web. Metode K-Means dipilih karena kemampuannya dalam menentukan dan menyeleksi data berdasarkan kriteria seperti pendapatan, jumlah tanggungan, status social. Sementara Dynamic Programming digunakan untuk optimasi dalam pengambilan keputusan. Data yang digunakan dalam penelitian ini diperoleh dari pengurus Masjid Nurul Falah, yang menjadi dasar dalam pengembangan sistem. Implementasi sistem dilakukan menggunakan bahasa pemrograman PHP serta penyimpanan basis data menggunakan MySQL. Diharapkan dengan adanya implementasi sistem penentuan dan seleksi penerima zakat fitrah menggunakan algoritma K-Means dan pendekatan Dynamic Programming ini, pengurus Masjid Nurul Falah dapat melakukan proses pendistribusian zakat secara lebih objektif, terstruktur, dan efisien kepada masyarakat Desa Mekar Jaya.
Integrasi Fuzzy Mamdani dan Certainty Factor pada Sistem Pakar Prediksi Penyakit Jantung Naza Riski Romah Doni; Hadi Zakaria
TIN: Terapan Informatika Nusantara Vol 7 No 3 (2026): August 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i3.10807

Abstract

Heart disease is a leading cause of death globally; therefore, a rapid and structured initial screening process is essential to minimize the risk of delayed treatment. The PT. XYZ clinic faces challenges in conducting initial heart disease screenings due to limited diagnostic equipment and an identification process that relies heavily on the subjective assessment of medical personnel. This study aims to implement a web-based expert system that integrates the Fuzzy Mamdani method and the Certainty Factor method to assist in the initial screening of heart disease. The Fuzzy Mamdani method processes symptom values ​​into membership degrees and generates alpha-predicate values ​​through fuzzification and inference processes, while the Certainty Factor method calculates the confidence level based on alpha-predicate values ​​and expert-assigned confidence weights for each rule. The system's knowledge base comprises 14 symptoms, three types of heart disease, and 190 rules derived through a knowledge acquisition process with cardiologists. The contribution of this study lies in the implementation of Fuzzy Mamdani and Certainty Factor integration, in which the alpha-predicate value resulting from fuzzy inference is used as the rule activation level and combined with the expert CF to determine the system confidence level for initial heart disease screening. Testing was conducted using 30 case scenarios and evaluated via a confusion matrix. The results demonstrate that all scenarios were successfully classified according to the reference labels, achieving a 100% match rate with the established knowledge base. These findings indicate that the system consistently executes inference and confidence level calculations as a tool for initial heart disease screening, although it is not intended to replace a physician's diagnosis or clinical decision-making.
Implementasi Hybrid ANP-TOPSIS untuk Evaluasi Pembinaan Narapidana (Studi Kasus: Lapas XYZ) Muhamad Haykal Muktabar; Hadi Zakaria
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol. 15 No. 4 (2026): Agustus 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i4.3864

Abstract

The evaluation of inmate rehabilitation at XYZ Prison is still conducted manually, which has the potential to introduce subjectivity and complicates the management of historical data needed for decision-making regarding remission recommendations. This study aims to implement a web-based decision support system to improve the objectivity and consistency of inmate rehabilitation evaluations. The system was developed by combining the Analytic Network Process method to determine subcriteria weights and the Technique for Order Preference by Similarity to Ideal Solution to rank alternatives based on rehabilitation outcomes. The system was implemented using the PHP programming language and a MySQL database. The results show that the system successfully generated a ranking of eight inmate alternatives based on preference scores, as well as parole recommendations in accordance with predetermined thresholds. Performance testing of the method using the Accuracy, Precision, and Recall metrics showed a good level of alignment between the system’s recommendations and the decisions of the Correctional Monitoring Team. The resulting system is capable of supporting the rehabilitation evaluation process in a more objective, structured, documented, and transparent manner to aid decision-making. Keywords: Decision Support System; Analytic Network Process; Technique for Order of Preference by Similarity to the Ideal Solution; Evaluation of Inmate Rehabilitation; Sentence Reduction Abstrak Evaluasi pembinaan narapidana di Lapas XYZ masih dilakukan secara manual sehingga berpotensi menimbulkan subjektivitas dan menyulitkan pengelolaan data historis yang diperlukan dalam pengambilan keputusan rekomendasi remisi. Penelitian ini bertujuan mengimplementasikan sistem pendukung keputusan berbasis web untuk meningkatkan objektivitas dan konsistensi evaluasi pembinaan narapidana. Sistem dikembangkan dengan mengombinasikan metode Analytic Network Process untuk menentukan bobot subkriteria dan Technique for Order Preference by Similarity to Ideal Solution untuk melakukan pemeringkatan alternatif berdasarkan hasil pembinaan. Implementasi sistem dilakukan menggunakan bahasa pemrograman PHP dan basis data MySQL. Hasil penelitian menunjukkan bahwa sistem berhasil menghasilkan pemeringkatan delapan alternatif narapidana berdasarkan nilai preferensi serta rekomendasi remisi sesuai ambang batas yang telah ditetapkan. Hasil pengujian kinerja metode menggunakan metrik Accuracy, Precision, dan Recall menunjukan tingkat kesesuaian yang baik antara rekomendasi sistem dan keputusan Tim Pengamat Pemasyarakatan. Sistem yang dihasilkan mampu mendukung proses evaluasi pembinaan secara lebih objektif, terstruktur, terdokumentasi, dan transparan dalam mendukung pengambilan keputusan. Kata kunci: Sistem Pendukung Keputusan; Analytic Network Process; Technique for Order Preference by Similarity to Ideal Solution; Evaluasi Pembinaan Narapidana; Remisi   
Optimasi Rekomendasi Destinasi Wisata Menggunakan Metode CBF Dan GIS Dengan Pendekatan Iterative Ahmad Rifa'i; Hadi Zakaria
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 24 No 3 (2026): September 2026
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v24i3.249

Abstract

The Jakarta Provincial Tourism and Creative Economy Office plays a key role in managing and developing tourist destinations, including providing information through Tourist Information Centers (TICs). However, the existing manual recommendation process does not adequately accommodate tourist preferences, while visitor feedback is not centrally documented. This study aims to develop a web-based tourist destination recommendation system that provides preference-based recommendations, geographic information, and feedback features to support destination evaluation. Content-Based Filtering (CBF) is applied by matching user preferences with destination characteristics using semantic embeddings and cosine similarity. A Geographic Information System (GIS) provides location and route information, while the system is developed using an Iterative Development approach. Recommendation performance was evaluated using Precision and Recall across five query scenarios at K=1, K=3, K=5, and K=10. The results show an average precision of 1.00 at K=1, K=3, and K=5, and 0.86 at K=10. Average recall increased from 0.09 at K=1 to 0.69 at K=10. User evaluation involving 20 respondents achieved an average score of 83.4%. The system assists tourists in finding destinations based on their preferences while providing location, route, and feedback information.
Co-Authors Achamad Syahrul Achmad Udin Zailani Adam Gustiawan Adbillah, Muhammad Iman Adela Fadli, Putri Adi Kurnia Sena Aditya Putra Maulana Adriansyah, Fikri Ageng Putra Mulya Agung Kurnia Solihin Agung Nugroho, Fajar AGUNG SETIAWAN Agus Mulyono Agus Winarno, Agus Ahmad Faisal Ahmad Rifa'i Ahmad Syahid Jindan Ahmad Zidan Aida Eka Marlia Aji Saputra Alam, Indraja Alamsyah, Tajul Alan Febriansyah Alfath Sidik Ali Mahpudin Alimudin, M. Aziz Allifiah Firnando Alvino Oktaviano Alwi Al Agiv Amin, Faisal An Nisa Dira Andre Farhan Saputra Andri Firman Saputra Anggreani Br.Sormin, Natalia Anggreyni, Ayu Anissa Puspitasari Aqil Farhan, Muhammad Ardhiansyah, Maulana Ari Mulyoto Arif Fajar Fadillah Aris Priyanto Ariyas Pratama Ramadhan Arraniri, Nuruddin Arya Sena, Alven Asep Yudistira Saputra Asshadath, Farhan Aufarramdhi, Rizki Aulia Rizki, Muhammad Awaliyatunniza, Putri Awaludin, Ibnu Ayu Anggraini Ayuningtyas Putri M Azhar, Muhammad Aditya Azzahra Ridwan Dalfin Susanto Damayanti, Riana Daniel Prastyo Dede Muhar Ardiansyah Dena Wulandari Dendy Syahrul Kamil Detina Euis Nuraini Devita Maulina Cahyani Dewa Fortuna Dewi Safutri Diah Prastyani Diaz Aji Sasongko Dila Fadilah Dimas, Dimas Adjie Dwi Riyanto Ebenheser Atakari Eka Sri Rahayu Elfi Fauziah Fachriza Khairul Fajri Fahri Patir Ramadhan Faiz Fauzy Fajar Setiawan Farsya Runa Supriyatna Fathu Ramadhan, Miftah Fauzi, Ahmad Rezki Febiyanto, Dedy Fikriansyah , Muhamad Furkon, Muhammad Ghufron Malik Azizi Ghufroniyah, Muflihatul Gilang Azis Ramadhan Gustiani, Andini Hakim, Ilham Abdul Hasrat Setiawan Gulo Hedwin Winata Halawa Herlan Ramadhan Hernanda Saripudin, Fajri Ibnoe Malik Ilham Bustomi Ilyas Maulana Imam Wahidin Imam Wahidin Indah Purwati Intan Tri buana Iqbal Suyudi Wijaya, Mochammad Irene Nur Utami Ismail Joe Hadi Saputra, Steven Joel Leonard Tampubolon Joswan Surya Wijaya Julianto, Rahmat Khatijah Omar Khoirun Nisa, Sevhia Kohar Krismonica Ningsih, Triani LINDAWATI Lisa Ardeliana Lisa Raudatul Jannah Listiyo Arief Nugroho Liyana Febriyanti Liyen Mulya M. Syauqi Alfayyadh Marlia, Aida Eka Marsandy Rulian Maulana Akbar, Fauzi Maulidan Jaya Angkasa Meidina, Firda Melisa Dwi Hestiani Micko Biagi, Muhammad Miftahul Falah Miftahul Falah, Adam Mochamad Febry Herdian Mohamad Eko Saifudin Mohammad Zaki, Beningsha Muhamad Farhan Praditya Muhamad Haykal Muktabar Muhamad Rezka Al Anshori Muhamad Rosdiana Muhammad Arief Ramadhan Muhammad Asrizal Muhammad Bryan Putra H Muhammad Dizkri Amrullah Muhammad Dzaki Ilhami Muhammad Farras Haidar Muhammad Fikri Muhammad Fikri Romadhon Muhammad Haiqal Latief Muhammad Iqbal Bintang Muhammad Likario Muhammad Malik Khalil Muhammad Rafli Muhammad Rafli Efendi Muhammad Ridwansyah Muhammad Rifa’I Muhammad Rifqi Muhammad Shaleh Muhammad, Rifaldie Munawaroh Munawaroh - Mu’ammar Kurniawan Nabila Bilqis Nator Diego Sitorus Naza Riski Romah Doni Nendi Setiawan Niki Ratama Nikmatul Chasanah Noris, Shandi Nugroho Candra Dimuka Nur Jaya Nurkhalifah Akbal, Adinda Oktafiandi, Randu Oktalia, Cici Oktaviana Anugrah Ade Purnama Pandu Wiliantoro Patricia Zefanya, Kezia Perani Rosyani Pniel Timotius Dima Pramudya Reynaldi Salim Pratama Pujiyatno, Azfa Puji Lestari, Dyta Putra Bagus Satrio Putri Andriani Putri Elisabeth Sihombing Putri Nur Karisma Dewi, Ardila Rachmad Husaeni, Fahri Raihan Amsyah, Rahmad Raihan Ilyasah Ranti Amanda Rizkia Rara Anggraeni Reizal Putra Hidayat, Muhamad Reza Putra Nurhudaya Ridhwan Anang Ma’ruf Rifki Ichsan Fauzi Rindiyani Riska Fitriyani Riswal Hanafi Rizal Fauzi Rizki Fadilah, Muhamad Rizky Ramdhani, Rizky Rizky Saputra, Ilham Rizqi Wahyuni Rohmahwati Sabri Maulana M. Saiful Mujab, Saiful Samalo, Nurali Samirudin Annas Alfattah Samsoni Samsoni Samsoni Sapta Nurhayadi, Dony Saputra, Roby Saputra, Sugeng Sari, Aulia Kurnia Sartika Lina Mulani Sitio Sary Dwita Sihombing Satifa, Risa Satrio Novianto, Rifqy Saynu Ahmad Habibi Septianti Septiyani Mardiyana Setya Ningsih, Eka Sevlina Prisca Yolanda Sheva Nurmansyah, Muhammad Shinta Zulfa Zerlita Shoddam Palah Shuja, Affan sidiq , Rizal jafar Sifa Nur Faujiah Silky Setiawan Siti Khoiriyah Ramdani Sulhan Reisqi Saputra Sulhanuddin, Muhammad Sumarni Marwati Syahdan , Muhammad Syahril Syahrul Wujud Syarifuddin, Nurhalimah Syawalia Zahra Taufikurrohman Titan Prasetyo Tri Prasetyo Prast Triyanto, Aripin Ubaydillah, Muchamad Udin Zaelani, Achmad Utomo, Unggul Prasetyo Veliana Putri Ayu Saban Yoga Zahrudin Yudha Nur Muharram Yudhistira Gibran Zaelani , Ahmad Zahrotul Jannah, Nabila Zurnan Alfian