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All Journal TEKNIK INFORMATIKA Edu Komputika Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Informatika Pertanian JTERA (Jurnal Teknologi Rekayasa) InComTech: Jurnal Telekomunikasi dan Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) MEANS (Media Informasi Analisa dan Sistem) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Pengabdian kepada Masyarakat Nusantara Operations Research: International Conference Series Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Tsaqofah: Jurnal Penelitian Guru Indonesia ALSYS : Jurnal Keislaman dan Ilmu Pendidikan Jurnal Karya Abdi Masyarakat JUPADAI : Jurnal Pengabdian Kepada Masyarakat Jurnal INFOTEL Jurnal Informatika Polinema (JIP) Jurnal Pendidikan Teknologi Informasi (JUKANTI) Journal of Software Engineering and Multimedia (JASMED)
Wahyu Andi Saputra
Telkom University
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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PELATIHAN PENGGUNAAN MICROSITE UNTUK GURU SMK POLITEKNIK YP3I BANYUMAS Yuniati, Trihastuti; Dewi, Atika Ratna; Prasetyo, Novian Adi; Saputra, Wahyu Andi
JUPADAI : Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2024): Volume 3 Nomor 1 2024
Publisher : Asosiasi Dosen Akutansi Indonesia, KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64795/jupadai.v3i1.138

Abstract

SMK YP3I Banyumas sebagai bentuk komitmen untuk meningkatkan kualitas pendidikan dan wujud implementasi digitalisasi pendidikan, mewajibkan setiap guru untuk memiliki akun microsite, selain sebagai branding juga untuk memudahkan dalam penyampaian bahan pembelajaran. Namun sebagian besar guru di SMK YP3I Banyumas tidak memahami bagaimana cara membuat akun microsite dan pemanfaatannya. Oleh karena itu, tim dosen dan mahasiswa ITTP mengadakan pelatihan pembuatan microsite kepada 26 guru di SMK Politeknik YP3I Banyumas. Pada pelatihan tersebut, peserta diperkenalkan dengan teknologi microsite, fitur yang dimiliki, serta langkah pembuatannya. Peserta juga didampingi dalam pembuatan akun microsite, serta bagaimana menyematkan tautan dokumen materi, kuis, atau penugasan dari Google Docs dan Google Form. Hasil kuesioner menunjukkan 73,7% peserta merasa puas dan pelatihan yang diselenggarakan sesuai dengan harapan, 78,9% peserta menyatakan bahwa pelatihan yang diberikan sesuai dengan kebutuhan, menambah pengetahuan, dan adanya tindak lanjut yang baik terhadap permasalahan yang dihadapi peserta, serta 68,4% peserta menyatakan bahwa pelatihan ini menambah keterampilan, memberikan dampak perubahan pada diri peserta, dan berharap adanya pelatihan lanjutan. Hasil dari pelatihan ini setiap guru memiliki akun microsite masing-masing, sehingga kinerja guru semakin meningkat, yang nantinya dapat berdampak terhadap kepuasan masyarakat selaku pengguna jasa pendidikan yang semakin meningkat.
Small Object Detection and Object Counting for Primary Roe Dataset Based on Yolo Saputra, Wahyu Andi; Nugroho, Nicolaus Euclides Wahyu; Febrianto, Dany Candra; Yunus, Andi Prademon; Gustalika, Muhammad Azrino; Choo, Yit Hong
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i1.46063

Abstract

This research offers an initial exploration into the effectiveness of three variations of the YOLOv8 model original, trimmed, and YOLOv8n.pt in combination with two distinct datasets characterized by tight and loose distributions of roe, aimed at enhancing small object detection and counting accuracy. Utilizing a primary roe dataset across 776 images, the research systematically compares these model-dataset configurations to identify the most effective combination for precise object detection. The experimental results reveal that the YOLOv8n.pt model combined with the loosely distributed dataset achieves the highest detection performance, with a mean Average Precision (mAP) of 53.86%. This outcome underscores the critical impact of both model selection and data distribution on the detection accuracy in machine learning applications. The findings highlight the importance of tailored model and dataset synergies in optimizing detection tasks, particularly in complex scenarios involving small, densely clustered objects. This research contributes valuable insights into the strategic deployment of neural network architectures for refined object detection challenges.
Rupiah Banknotes Detection Comparison of The Faster R-CNN Algorithm and YOLOv5 Muhammad Zuhdi Hanif; Wahyu Andi Saputra; Yit Hong Choo; Andi Prademon Yunus
JURNAL INFOTEL Vol 16 No 3 (2024): August 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i3.1189

Abstract

Money is an essential part of human life. Humans are never separated from activities related to money. As time goes by, money is not only a means of transactions between humans but also between humans and machines. Machines can recognize money in various ways, including object detection. Object detection is one of the most popular branches of computer vision. There are many methods for carrying out object detection, such as Faster R-CNN and YOLO. Faster R-CNN has been widely used in various fields to perform object detection tasks. Faster R-CNN has advantages over its predecessor because it uses a Region Proposal Network (RPN) as a substitute for selective search, which requires less compilation time. YOLO (You Only Look Once) is the most frequently used object detection method. This method divides the image into grids; each part of the grid predicts objects and their probabilities. The main advantages of YOLO are its high speed and ability to recognize objects in various conditions and positions with reasonably high accuracy. This research compares the Faster R-CNN algorithm model using the ResNet-50 architecture with YOLOv5 to recognize rupiah banknotes. The dataset used is 1120 images consisting of 8 classes. The YOLOv5 model trained on RGB data had the best results, with calculation accuracy reaching 1. Test results on three images also showed suitable results. The hope is that this research can be applied in other research to build a system for recognizing rupiah banknotes.
Gamified Student Activity Transcript System using MDA Framework Nursetyo Reginanda, Ezekiel Pradipta; Saputra, Wahyu Andi; Wardhana, Ariq Cahya; Adhitama, Rifki
Journal of Information System Research (JOSH) Vol 7 No 2 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i2.9199

Abstract

Universities increasingly recognize that employability and civic competencies are formed not only through formal coursework but also through co-curricular and extracurricular engagement. In many campuses, however, activity reporting remains fragmented, highly manual, and submitted late, which results in verification bottlenecks and incomplete student records. This study develops a web-based Student Activity Transcript (SAT) application to support end-to-end submission, verification, and accumulation of student activity points. A gamification approach is embedded to reduce reporting friction and sustain participation. The design follows the Mechanics–Dynamics–Aesthetics (MDA) framework so that each game element is justified from rules to run-time interaction patterns and the intended user experience. The system is implemented using a PHP web framework and a relational database, and it integrates role-based workflows for students, academic advisers, and student affairs administrators. Functional validation is performed through specification-based (black-box) testing to confirm that critical workflows—registration, login, activity submission, verification, and transcript generation—operate as intended. The resulting artifact demonstrates a reusable pattern for universities that need to digitize activity transcripts while ensuring that gamification is applied in a structured, theory-informed manner. This work contributes to TAK governance workflow that preserves institusional verification while adding engagement loops, and an implementation and test blueprint that can be adapted to other campuses adopting transcript or digital badge recognition system.
Penerapan Maqomah sebagai Pengembangan Materi Pembelajaran Al-Quran Hadits di Madrasah Aliyyah Al-Falah Nagreg Saputra, Wahyu Andi; Nugraha, Mulyawan Safwandy
ALSYS Vol 4 No 5 (2024): SEPTEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsys.v4i5.3604

Abstract

This research aims to analyze implementation of Maqomah as a development of Quran and Hadith learning materials at Madrasah Aliyyah Al-Falah Nagreg. The research method used is a descriptive qualitative approach. The study will be conducted at Madrasah Aliyyah Al-Falah Nagreg and will involve an initial literature review to understand the theories and concepts underpinning the research. Subsequently, the research will go through several phases, including preparation, data collection through classroom observations, interviews with teachers and students, and analysis of documents and teaching materials. The data obtained will be analyzed using qualitative text analysis techniques. This research aims to provide a deeper understanding of the application of Maqomah in Quran and Hadith learning at Madrasah Aliyyah Al-Falah Nagreg and its impact on student understanding. The research findings are expected to provide valuable insights into the use of this method in the context of Islamic education in madrasah. Thus, this research can make a significant contribution to improving the quality of religious education in an Islamic educational environment.
Co-Authors Abednego Dwi Septiadi Agi Prasetiadi Agung Wicaksono Andi Prademon Yunus Apri Junaidi Arief Rais Bahtiar Arif Amrulloh Ariq Cahya Wardhana Asyhar Nurrochman Atika Ratna Dewi Brawijaya, Brawijaya Cepi Ramdani Choo, Yit Hong Condro Kartiko Dany Candra Febrianto Eko Sanjaya Febriani, Atik Gustalika, Muhammad Azrino Hafidz Daffa Hekmatyar Hari Widi Utomo Hilmi, Nizar Huda, Farhat Ilham Fauzi Ipam Fuaddina Adam Johanes Christianto Tiku Khurun Ain Muzaqi Leksono, M. Lukman Lumban Batu, Benedict Evan Lumban Batu Mohtar Khoiruddin Muhamad Azrino Gustalika Muhammad Zidny Naf'an Muhammad Zuhdi Hanif Mulyawan Safwandy Nugraha Nicolaus Euclides Wahyu Nugroho Novian Adi Prasetyo Nursetyo Reginanda, Ezekiel Pradipta Pane, Sayyid Yakan Khomsi Purnama Sukardi Ratih Windu Arini Reynaldi Rio Saputro Rifki Adhitama, Rifki Riyatno Riyatno Sa’adah, Aminatus Sidanti, Risang Windu Surya Adi Widiarto Tio Fani Trihastuti Yuniati Usada, Elisa Wibawa, Panca Widargo, Yulio Aldi Widodo, Hermawa Setyo Wisnu Wardana, Mohammad Adiyudha Yasykur, Muhammad Fauzan Yit Hong Choo Yit Hong Choo Zaenury , Zaenury Dhany Wibowo Zaenury Dhany Wibowo