Article Per Year (5 Year)
p-Index From 2021 - 2026
5.588
P-Index
This Author published in this journals
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) KREATIF: Jurnal Pengabdian Masyarakat Nusantara Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
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

Published : 38 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 38 Documents
Search

 1   2   3   4 
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.
Program Transformasi Teknologi Peternakan Cerdas: Optimalisasi Monitoring Bibit Kambing Unggul Berbasis IoT dan Integrasi Circular Economy melalui Pupuk Organik Ariq Cahya Wardhana; Arif Amrulloh; Wahyu Andi Saputra; Famila Dwi Winati; Mochammad Edrick Firjatullah; Adhimas Arya Saputra; Farrel I'zaz Yuwono
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 6 No. 1 (2026): Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v6i1.8920

Abstract

This study presents the implementation of a Smart Livestock Technology Transformation Program designed to improve the efficiency and sustainability of smallholder goat farming through the integration of Internet of Things (IoT) monitoring systems and circular economy practices. The initiative was motivated by the limited accuracy of conventional manual measurements, the absence of continuous growth monitoring, and the underutilization of goat manure as a valuable agricultural resource. This research aims to develop an IoT-based monitoring system capable of automatically recording goat body weight and growth performance, while simultaneously transforming livestock waste into organic fertilizer with economic benefits for local farmer groups. The methodology adopts a participatory action research and research and development approach, involving system design, device installation, digital literacy training, organic fertilizer processing, and performance evaluation. The results demonstrate that the IoT system significantly improves measurement accuracy, increases monitoring frequency, reduces human error, and enhances early detection of growth anomalies. The manure processing activities, supported by mixing and grinding machines, produce high-quality organic fertilizer with better homogeneity and ease of application. The integration of IoT and circular economy practices yields positive impacts including increased livestock productivity, improved digital capabilities among farmers, reduced environmental waste, and the creation of new economic value within the community. The findings indicate that this integrated model has strong potential for broader replication in other small-scale livestock communities facing similar 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.
IMPLEMENTASI FACE RECOGNITION PADA SISTEM PRESENSI MAHASISWA MENGGUNAKAN METODE SSD DAN LBPH Muhammad Fauzan Yasykur; Wahyu Andi Saputra
Jurnal Pendidikan Teknologi Informasi (JUKANTI) Vol 7 No 1 (2024): JURNAL PENDIDIKAN TEKNOLOGI INFORMASI (JUKANTI) EDISI APRIL 2024
Publisher : Universitas Citra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37792/jukanti.v7i1.1207

Abstract

ABSTRAK Perkembangan teknologi di era digitalisasi telah memberikan dampak signifikan pada berbagai sektor, termasuk pendidikan tinggi. Inovasi teknologi gencar dilakukan untuk mendukung kegiatan perkuliahan, salah satunya adalah sistem presensi mahasiswa. Beberapa diantaranya yang sudah diterapkan adalah teknologi RFID pada Kartu Tanda Mahasiswa dan scan kode QR. Namun keduanya masih memiliki celah kekurangan seperti risiko terjadinya kehilangan KTM, penyalahgunaan kode QR atau bahkan fenomena titip absen. Penggunaan sistem biometri seperti face recognition menjadi alternatif inovasi untuk meningkatkan keabsahan presensi mahasiswa. Penelitian ini mengimplementasikan teknologi face recognition secara real time pada sistem presensi mahasiswa berbasis web dengan mengombinasikan metode Single Shot Multibox Detector (SSD) dan Local Binary Pattern Histogram (LBPH). Metode SSD digunakan sebagai pendeteksi wajah (face detector) dan LBPH sebagai pengenal wajahnya (face recognizer). Penelitian ini melibatkan pengujian akurasi dalam mendeteksi dan mengenali wajah mahasiswa berdasarkan parameter jarak, jumlah wajah dalam satu frame dan posisi wajah. Pada pengujian deteksi wajah untuk parameter jarak radius 30 cm hingga 100 cm dan posisi wajah diperoleh akurasi 100%. Pengujian pengenalan wajah berdasarkan posisi wajah memperoleh akurasi mencapai 85% dan presisi 87%, pengenalan wajah berdasarkan jarak memperoleh akurasi sebesar 85% dan presisi sebesar 86%. ABSTRACT  The development of technology in the era of digitalization has had a significant impact on various sectors, including higher education. Technological innovations have been actively pursued to support academic activities, one of which is the student attendance system. Some of the technologies that have been implemented include RFID technology on Student Identification Cards and QR code scanning. However, both methods still have shortcomings, such as the risk of losing the Student Identification Card, QR code misuse, or even the phenomenon of proxy attendance. The use of biometric systems, such as face recognition, has become an alternative innovation to enhance the validity of student attendance. This research implements real-time face recognition technology in a web-based student attendance system by combining the Single Shot Multibox Detector (SSD) and Local Binary Pattern Histogram (LBPH) methods. The SSD method is used as the face detector, and LBPH is used as the face recognizer. This research involves testing accuracy in detecting and recognizing student faces based on distance parameters, number of faces in one frame and face position. In face detection testing for radius distance parameters of 30 cm to 100 cm and face position, 100% accuracy was obtained. Testing facial recognition based on facial position obtained accuracy of 85% and precision of 87%, facial recognition based on distance obtained accuracy of 85% and precision of 86%.
Improving Cattle Farmers Knowledge of Animal Weight Monitoring Using IoT: Peningkatan Pengetahuan Peternak Sapi dalam Monitoring Berat Badan Hewan Ternak Berbasis IOT Wahyu Andi Saputra; Muhamad Azrino Gustalika; Faizah Faizah; Silvia Van Marsally; Dedy Agung Prabowo; Fahrudin Mukti Wibowo
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 10 No. 3 (2026): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36339/je.v10i3.536

Abstract

The Mukti Mandiri Livestock Group is located in Karanggitung Village, Banyumas Regency. This group focuses on beef cattle farming. Currently, the group faces various obstacles, including the lack of ability to accurately calculate cattle weight. This causes the group to often rent scales or entrust their cattle to other cattle groups to determine their weight. Furthermore, the Mukti Mandiri Group often chooses to estimate the weight of cattle due to the high rental price of scales. This impacts the selling price of cattle to collectors, resulting in farmers only earning a small profit. Therefore, a weighing device is needed to assist the Mukti Mandiri Livestock Group. This community service activity was carried out in order to provide IoT (Internet of Things)-based weighing devices to facilitate the cattle weighing process. The activity consisted of 5 stages: socialization, technology implementation, training, mentoring and evaluation, and the sustainability of the community service program. The results of this community service showed that 51% of respondents answered strongly agree, 46% agreed, and 3% quite agreed, in terms of increasing the knowledge of livestock farmers regarding the community service activity and the use of IoT-based weighing devices. It is hoped that this community service activity can continue in the management aspect for RPH (Animal Slaughterhouse) and Juleha (Halal Slaughterhouse) so that it can encourage participation from other livestock breeders in the use of technology in the livestock sector.
Gamified Student Activity Transcript System using MDA Framework Ezekiel Pradipta Nursetyo Reginanda; Wahyu Andi Saputra; Ariq Cahya Wardhana; Rifki Adhitama
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 Wahyu Andi Saputra; Mulyawan Safwandy Nugraha
ALSYS Vol 4 No 5 (2024): ALSYS: Jurnal Keislaman dan Ilmu Pendidikan
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 Adhimas Arya Saputra 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 Dedy Agung Prabowo Eko Sanjaya Ezekiel Pradipta Nursetyo Reginanda Fahrudin Mukti Wibowo Faizah Faizah Famila Dwi Winati Farrel I'zaz Yuwono 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 Mochammad Edrick Firjatullah Mohtar Khoiruddin Muhamad Azrino Gustalika Muhammad Fauzan Yasykur Muhammad Zidny Naf'an Muhammad Zuhdi Hanif Mulyawan Safwandy Nugraha Nicolaus Euclides Wahyu Nugroho Novian Adi Prasetyo Pane, Sayyid Yakan Khomsi Purnama Sukardi Ratih Windu Arini Reynaldi Rio Saputro Rifki Adhitama Riyatno Riyatno Sa’adah, Aminatus Sidanti, Risang Windu Silvia Van Marsally 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