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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 Intellektika: Jurnal Ilmiah Mahasiswa Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Ilmu Komputer Jurihum
Zakaria, Hadi
Universitas Pamulang
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Journal : bulletin of computer science research

 1 
Klasifikasi Penyakit Jamur Pada Tanaman Tomat dengan Algoritma SVM Eka Sri Rahayu; Oktaviana Anugrah Ade Purnama; Hadi Zakaria; Perani Rosyani
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.515

Abstract

Diseases in tomato plants, such as mosaic virus and yellow leaf curl virus, can significantly reduce crop yields. Therefore, early detection based on artificial intelligence (AI) presents a strategic solution to improve the efficiency of plant disease identification. This study aims to develop and evaluate a classification model using Support Vector Machine (SVM) for the automatic and accurate detection of tomato leaf diseases. SVM is selected as the primary classification method due to its ability to handle high-dimensional data with better computational efficiency compared to Convolutional Neural Network (CNN) and Random Forest. The dataset used is the PlantVillage Tomato Leaf Dataset from Kaggle, consisting of 600 images categorized into three classes: healthy tomato leaves, leaves affected by mosaic virus, and leaves affected by yellow leaf curl virus. The research stages include data preprocessing such as image normalization, dataset splitting (80% training, 20% testing), and undersampling to address class imbalance. The SVM model is trained using various kernels and evaluated using accuracy, precision, recall, and F1-score metrics. The results show that the SVM model achieves an accuracy of 98.33%, demonstrating its effectiveness in detecting tomato plant diseases. Therefore, this model can be implemented in smart agriculture systems to enhance early disease detection and assist farmers in optimizing crop yields.
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.
Segmentasi Permintaan Pelanggan Paket Dekorasi Wedding Menggunakan K-Means Berbasis Web Nuraina Nuraina; Hadi Zakaria
Bulletin of Computer Science Research Vol. 6 No. 6 (2026): October 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i6.1361

Abstract

This study aims to analyze customer demand segmentation for wedding decoration packages using a web-based K-Means algorithm at PT. WPD. The research problem is the manual processing of historical customer data, which requires considerable time and may cause errors in grouping. The dataset consists of 250 historical customer records randomly selected from 500 transaction records for the January–December 2025 period to obtain a representative sample and accelerate model testing without reducing the variation in customer characteristics. The modeling attributes include package price or budget, decoration theme, number of add-ons, and venue scale, with categorical attributes (decoration theme and venue scale) converted into numerical values through label encoding before all numerical attributes were normalized using Min-Max Normalization. The research stages consist of observation, interviews, literature study, data collection, preprocessing, normalization, cluster determination (K=3) using the Elbow method based on the Within-Cluster Sum of Squares (WCSS) value, K-Means implementation, web-based system implementation, and testing. The analysis produced three customer segments: an economy/budget segment containing 60 customers, a middle/personalization segment containing 50 customers, and a premium/exclusive segment containing 140 customers. The premium segment is the largest group and is dominated by customers choosing the Classic International Elegance package with high budgets, extensive add-ons, and large-scale venues. The web-based system successfully automates data processing and clustering and provides analytical results to support evaluation and marketing strategies. A questionnaire involving 20 respondents on user acceptance and perceived usefulness of the system resulted in a score of 88%, categorized as very strong, reflecting user acceptance of the system rather than the accuracy of the K-Means algorithm.
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 Badriah Nursakinah Cintya Laura Melagro Dalfin Susanto Damayanti, Riana Daniel Prastyo Danti Amelya Putri 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 Kevin Novebrianto 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 Nuraina Nuraina 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