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All Journal Jurnal Ilmiah Teknologi dan Rekayasa Jurnal English Education: Jurnal Tadris Bahasa Inggris Jurnal Ilmu Komunikasi UHO : Jurnal Penelitian Kajian Ilmu Komunikasi dan Informasi Jurnal Ilmiah FIFO JURNAL BAHASA, SASTRA DAN PEMBELAJARANNYA Jurnal Basicedu JSI (Jurnal sistem Informasi) Universitas Suryadarma JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Studi Guru dan Pembelajaran Jurnal Manajemen Informatika Jayakarta Journal La Edusci Journal of Students‘ Research in Computer Science (JSRCS) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Iman dan Spiritualitas Jurnal Penelitian Ilmu Sosial dan Eksakta Journal of Mechanical and Electrical Technology Industrial Research Workshop and National Seminar SIMBOL : Jurnal Administrasi Publik dan Pemerintahan Jurnal Basicedu Journal of Business, Social and Technology JUQUTS Innovative: Journal Of Social Science Research IJLHE: International Journal of Language, Humanities, and Education Al-Tasyree: Jurnal Bisnis, Keuangan dan Ekonomi Syariah Journal of Computer Science Contributions (Jucosco) Journal of Informatics and Information Security Kifah Indonesian Journal Entrepreneurship Finance and Business Management IKRAM: Jurnal Ilmu Komputer Al Muslim English Education: English Journal for Teaching and Learning Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Jurnal Riset Informatika dan Teknologi Informasi (JRITI) Jurnal Penerjemahan
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Journal : Journal of Students‘ Research in Computer Science (JSRCS)

Pendeteksian dan Klasifikasi Sampah pada Bank Sampah Berbasis Web Menggunakan YOLOv11 Nabila , Marsyanda Salsa; Hidayat, Agus; Herlawati, Herlawati
Journal of Students‘ Research in Computer Science Vol. 6 No. 1 (2025): Mei 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/r5me0z35

Abstract

The problem of poorly managed household waste management can increase the burden on the environment and reduce the effectiveness of recycling. Waste banks in general still rely on manual systems in sorting waste which is prone to errors and requires more labor. This research aims to develop a web-based waste detection and classification system using the You Only Look Once (YOLO) version 11 yolov11n (nano) method. The research method included downloading the main secondary dataset named R1 Test version 15 from the Roboflow Universe platform, collecting other secondary datasets from internet scraping and manual photography, which resulted in a total of 27,400 images of trash with nine different types, namely bottle, cans, cardboard, cup, foil, food, paper, paper_bag, and plastic.The results show that the yolov11n model is able to detect objects with sufficient accuracy and light computational resources by producing a precision value of 91,7%, recall of 89%, mAP50 of 93,2% and mAP50-95 of 75,8% in all classes. The best model results obtained are integrated into the web using the flask framework.
Analisis Sentimen Ulasan Produk Sneakers Lokal Pada Tokopedia Menggunakan Algoritma Naïve Bayes dan Support Vector Machine Trisumeikra, I Komang Arya; Herlawati, Herlawati; Hidayat, Agus
Journal of Students‘ Research in Computer Science Vol. 6 No. 2 (2025): November 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/5wew3w31

Abstract

transformation in various sectors, including the fashion industry, especially sneakers. Sneakers are now a symbol of modern lifestyle and global trends, with brands such as Nike and Adidas dominating the market. However, high prices are an obstacle for many Indonesian consumers. This opens up opportunities for local brands to offer quality products at affordable prices through e-commerce such as Tokopedia, the second highest traffic platform in Indonesia. The research analyzed sentiment from 1,032 consumer reviews of local sneakers from five stores: NAH Project, Aerostreet, Geoff Max, Ventela, and Brodo. The analysis was conducted using Naïve Bayes and Support Vector Machine (SVM) algorithms. The SVM evaluation results produced the highest accuracy of 98%, compared to Naïve Bayes which reached 96%. This best model is implemented in a web-based application to analyze the sentiment of new reviews, to assess the perceived quality and consumer satisfaction of local sneakers products on Tokopedia.
Sistem E-Payroll pada Karyawan Yayasan Pendidikan Islam An-Nadwah Menggunakan Algoritma Advanced Encryption Standard (AES) Berbasis Web Fitriyani, Linda; Handayani, Dwipa; Lestari, Tyastuti Sri; Hidayat, Agus
Journal of Students‘ Research in Computer Science Vol. 6 No. 2 (2025): November 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/n7qt5a13

Abstract

The rapid development of information technology encourages educational institutions to improve efficiency and security in administrative management, including payroll systems. This research aims to design a web-based E-Payroll system implemented at the Islamic Education Foundation An-Nadwah by applying the Advanced Encryption Standard (AES) algorithm to ensure the confidentiality of employee salary data. The system was developed using the Rapid Application Development (RAD) method to enable fast and user-responsive development. The implementation results show that the system can effectively encrypt and decrypt salary data, as well as provide real-time and secure payroll reports. System testing using the blackbox method demonstrates that all system functionalities work as expected. This system is expected to enhance efficiency, accuracy, and security in the payroll process within the foundation.
Co-Authors -, Anisah ., Rasim Abdurrahman, Ihsan Abid, M. Nur Rois Ahmad Faisal Akmalia, Neng Sufia Aldi, Ujang Alexander, Allan D Andi Rahman Arjuna, Arjuna Aslihatullatifah Bambang Irfani Dani Yusuf Darojat, Darojat Delffika Canra Dian Reftyawati Dimas Permadi Dwipa Handayani Erna Sri Adiningsih Fadillah P, Yoga Fathurrozi, Ahmad Fitriyani, Linda Fried Sinlae Hariri, Eri Hasan Haris, Emin Hasnaeni , Hasnaeni Herlawati Herlawati Hero, Eko Hidayanti, Firly Hidayat, Wisnu Hambali Hoki Rezky, Mohammad Idham Kholid Iis Sujarwati Islamy, Khoirunissa Muflihunna Istiqomah Nur Rahmawati Joniwarta Kariandinata, Rahayu Khoerunnisa, Nadila Koswara, Ujang Kustanto , Prio Lestari, Tyastuti Sri Lubis, Hendarman M. Ridho Kholid, M. Ridho Maarif, Ahmad Alwi Mahbub, Asep Ramdhani Marhamah, Santi Maslani, Maslani Maulana, Hamdan Meisuri Mirsal, Duliades Mohammad Ridho Kholid Muhammad Khaerudin Muhammad Yasir Munawaroh, AH Eviyani Nabila , Marsyanda Salsa Nirva Diana Noema, Achmad Noeman, Achmad Novianto, Krisna Nunun Indrasari Nur Hapipah, Leli Nur Syamsiah, Nur Nurjamilah, Lia Lailla Priatna , Wowon R. Dwiyanto, Arif Rahmi, Meri Raihan, Abdul Muhammad Rasim, Rasim Robertus Suraji Rohmatillah Rois Abid, M. Nur Saadah, Susi Septa Aryanika Setiawan, Panvati Setiawan, Parwati Setyadi, Cecep Setyadi Sholikhah, Daimatus Suganda, Ayub Sugiharlo, Totok Sururi, Miftahus Tarsono Tarsono Taruan, Erni Sari Lombun Tiara Kamila, Ranti Trisumeikra, I Komang Arya Triyani, Bela Warsito Warsito Wasiska, Asti Yunengsih, Ida Zahra, Anes Melia Zullintarizah, Zullintarizah