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All Journal Jurnal Informatika dan Teknik Elektro Terapan JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science (JOINTECS) Syntax Literate: Jurnal Ilmiah Indonesia JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Conference on Innovation and Application of Science and Technology (CIASTECH) JURTEKSI Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Ilmu Komputer dan Bisnis Systematics Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Buana Ilmu Buana Information Technology and Computer Sciences (BIT and CS) Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) International Journal of Educational Review Journal of Applied Data Sciences Jurnal Cahaya Mandalika Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Djtechno: Jurnal Teknologi Informasi KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Minfo Polgan (JMP) Abdimas Jurnal Buana Pengabdian Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Sistem Informasi STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Innovative: Journal Of Social Science Research Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Jurnal Abdi Citra Jurnal Ilmiah Pengabdian Kepada Masyarakat (Nyiur-Dimas) Informasi interaktif : jurnal informatika dan teknologi informasi Jurnal PETISI (Pendidikan Teknologi Informasi) Journal of Information Technology Jurnal Publikasi Teknik Informatika
Priyatna, Bayu
Universitas Buana Perjuangan Karawang
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Web-Based Sikerjasada Information System Using the CodeIgniter Framework to Support Regional Cooperation Performance Bayu Priyatna; Agus Tia Hananto; Septiana Rahayu
Buana Information Technology and Computer Sciences (BIT and CS) Vol. 7 No. 2 (2026): Buana Information Technology and Computer Sciences (BIT and CS)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/s0w0ay31

Abstract

Regional cooperation management involving local governments, institutions, and third parties requires accurate, integrated, and accessible information management. The Cooperation Section of Bekasi Regency Government still faces challenges in managing cooperation documents, monitoring agreements, and preparing reports due to manual and less integrated processes. This research aims to develop a web-based Sikerjasada Information System using the CodeIgniter framework to improve the effectiveness of cooperation data management. The research method applies the Rapid Application Development (RAD) model consisting of requirement planning, user design, construction, and implementation stages. Data collection was conducted through observation, interviews, and literature studies. The developed system provides features for cooperation data management, document management, monitoring of cooperation periods, and automatic reporting. System design was performed using Unified Modeling Language (UML), while testing used White Box Testing, Black Box Testing, and Technology Acceptance Model (TAM) evaluation. The research results show that the system can organize cooperation information more systematically, accelerate data searching and reporting processes, and support transparency in cooperation monitoring. The implementation of Sikerjasada is expected to improve decision-making processes and digital transformation in Bekasi Regency Government
Classification of Starling Images Using a Bayesian Network April Lia Hananto; Aviv Yuniar Rahman; Tukino Paryono; Bayu Priyatna; Agustia Hananto; Baenil Huda
Journal of Applied Data Sciences Vol 6, No 1: JANUARY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i1.423

Abstract

The classification of starling species is vital for biodiversity conservation, especially as some species are endangered. This research investigates the effectiveness of the Bayesian Network (BayesNet) for classifying starling species and compares its performance with Artificial Neural Networks (ANN) and Naive Bayes models. The dataset comprises 300 images of five starling species—Bali, Rio, Moon, Kebo, and Uret—captured under controlled conditions. Feature extraction focused on color, texture, and shape, while data augmentation through slight image rotations was applied to enhance model generalization. The BayesNet model achieved an accuracy of 96.29% using a 90:10 training-to-testing split, outperforming ANN (90.74%) and Naive Bayes variants. Precision, recall, F1-score, and AUC-ROC values further validated the robustness of the BayesNet model, with precision at 0.90, recall at 0.91, F1-score at 0.92, and AUC-ROC at 0.95. These results demonstrate the superior performance of multi-feature Bayesian Networks in starling classification compared to other machine learning models. The novelty of this study lies in its application of a probabilistic approach using Bayesian Networks, which enhances interpretability and performance, especially in scenarios with limited data. Future work may explore additional feature sets and advanced machine learning models to further improve classification accuracy and robustness.
Improved Hybrid GoogLeNet-Based Deep Learning Optimization for Standardized Straw Mushroom Quality Classification in Indonesia Bayu Priyatna; Titik Khawa Abdurahman; Muhammad Fahmi Miskon; April Lia Hananto; Agustia Tia Hananto; Aviv Yuniar Rahman
Journal of Applied Data Sciences Vol 7, No 2: May 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i2.1206

Abstract

Deep learning plays a crucial role in modern computer vision due to its ability to automatically extract hierarchical features from large-scale image data. Among various architectures, Convolutional Neural Networks (CNNs) have been extensively utilized for image pattern interpretation, including in agricultural product inspection. Straw mushrooms (Volvariella volvacea) are important agro-industrial commodities in Indonesia; however, their quality assessment still relies on subjective manual evaluation based on the Indonesian National Standard (SNI:01-6945-2003), leading to inconsistency in grading results. To address this limitation, this research proposes an Improved Hybrid GoogLeNet model integrated with a YOLO-based detection framework and hybrid preprocessing to enhance feature clarity and classification robustness. The system is capable of conducting object detection, 3-class morphological quality classification (Pure White, Oval, and Black Spot/Defect), and automatic diameter measurement using calibrated pixel-to-centimeter conversion. Performance evaluation is carried out by benchmarking the proposed model against several popular deep learning architectures including YOLOv5, LeNet, AlexNet, VGGNet, and ResNet. Experimental results demonstrate that the Improved Hybrid GoogLeNet achieves the highest performance with precision of 97.99%, recall of 96.07%, and F1-score of 96.98%, along with low misclassification rates across all classes. These results indicate that the proposed method provides accurate, reliable, and efficient quality assessment that supports standardized automated grading in industrial applications. Therefore, this study contributes to the advancement of intelligent computer vision solutions for digital transformation in the Indonesian mushroom agro-industry.
SOSIALISASI SISTEM SIKERJASADA UNTUK PENGELOLAAN KERJA SAMA DI PEMDA KABUPATEN BEKASI Bayu Priyatna; Agus Tia Hananto; Septiana Rahayu
JURNAL BUANA PENGABDIAN Vol. 7 No. 1 (2025): JURNAL BUANA PENGABDIAN
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/c8fjzt07

Abstract

Kegiatan sosialisasi Sistem Informasi Kerjasama Daerah (SIKERJASADA) bertujuan untuk meningkatkan pemahaman pada pegawai Pemda Kabupaten Bekasi mengenai pentingnya digitalisasi pengelolaan kerja sama daerah. Kegiatan ini mencakup pemaparan materi, demonstrasi penggunaan sistem, serta praktik langsung yang memungkinkan peserta memahami alur input data, verifikasi, dan pelaporan secara real-time. Hasil kegiatan menunjukkan bahwa peserta memiliki minat dan kesiapan tinggi dalam mengadopsi sistem digital untuk mendukung efektivitas administrasi dan pengelolaan data kerja sama. Sosialisasi ini memberikan dampak positif terhadap peningkatan akurasi data, efisiensi proses kerja, dan transparansi tata kelola kerja sama. Implikasi kegiatan ini mendorongperlunya pendampingan lanjutan, optimalisasi fitur sistem, serta perluasan implementasi ke perangkat daerah lainnya.
DESAIN FRONT END APLIKASI E-LAUNDRY SEPATU FINDME SHOES AND CARE DENGAN METODE USER CENTERED DESIGN Subhan Algifari Algi; Bayu Priyatna; Agustia Hanantoa
Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) Vol. 9 No. 1 (2025): Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Aplikasi e-laundry adalah inovasi layanan berbasis teknologi yang memungkinkan pelanggan memesan jasa laundry secara daring. Penelitian ini bertujuan merancang antarmuka pengguna (UI) dan pengalaman pengguna (UX) yang optimal pada aplikasi FindMe Shoes and Care menggunakan pendekatan User Centered Design (UCD). Metode UCD menempatkan pengguna sebagai pusat proses perancangan, dimulai dari analisis kebutuhan, perancangan prototipe dengan Figma, hingga pengembangan antarmuka menggunakan Flutter. Evaluasi dilakukan dengan metode System Usability Scale (SUS) terhadap 15 responden untuk menilai tingkat kegunaan aplikasi. Hasil pengujian menunjukkan skor SUS rata-rata sebesar 80,2 yang dikategorikan dalam tingkat "baik". Temuan ini menunjukkan bahwa pendekatan UCD efektif dalam membangun aplikasi yang responsif terhadap kebutuhan pengguna. Studi ini memberikan kontribusi dalam pengembangan aplikasi e-service berbasis mobile dengan pengalaman pengguna yang optimal, khususnya dalam layanan laundry sepatu.
PERANCANGAN UI/UX APLIKASI BARBERSHOP FATHAN DENGAN MENGGUNAKAN METODE USER CENTERED DESIGN (UCD) Pada Aplikasi Fathan Barbershop muhammad zidan alfaqih hidayatulloh eris; Shofa Shofia Hilabi; Bayu Priyatna
Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) Vol. 9 No. 1 (2025): Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The service industry, including barbershops, faces challenges in adapting to consumer preferences that are increasingly dependent on technology. This study aims to design a Fathan Barbershop mobile application with a User Centered Design approach to improve user experience and service efficiency. This method emphasizes a deep understanding of user needs through the empathy phase, clear problem formulation, creative solution ideation, prototyping, and iterative testing. The results of this study are expected to produce a user-friendly application and provide solutions to user problems, such as difficulty in ordering and time management. This study is expected to provide insight into the application of User Centered Design in application development in the barbershop service industry..
Co-Authors Aang Alim Murtopo Abdullah Abdullah Adittia Agustian Afra, Alfina Fadhilah Agus Tia Hananto Agustia Hanantoa Agustia Tia Hananto Ahmad Fauzi alzahra, alika aziza Ammar Zuhair Angraeni, Rahmah Nur Ani Ani Anita Khansa Ramadanti April Lia Hananto April Lia Hananto Aprilia Putri Nardilasari Arip Solehudin Asep Haris Aulia, Aldi Aviv Yuniar Rahman Aviv Yuniar Rahman Baenil Huda Cahya Diningrat Desfianthy, Fatiya Hanifah Fatlun, Aulia Fitria Nurapriani Fitria Ratna Sari Florida Ivonia Manek Guntur, Muhamad Haerudin Haerudin Hananto, Agustia Handayani, Citra Hemant N Chaudhari Heryana, Nono Hilabi, Shofa Shofia Hilabi, Shofa Shofia Hilabi, Shofa Shofiah Hoerudin Hoerudin Huda, Baenil Intan, Melani Ismail, Dennisa Avriel Jabar Sanjaya Julia, Ina Julifer P Manurung Juniardi Karina Kurniawan, Muhamad Dicky Lutfiah, Siti Mega Rianita Kartika Mohamad Ricky Firdaus Muhammad Fahmi Miskon Muhammad Nova muhammad zidan alfaqih hidayatulloh eris Naufal Zubdi Ahnaf Novalia, Elfina Nur ‘Azah Nurapriani, Fitria Nursyifa Paryono, Tukino Pradana Rizki Maulana Rini Mayasari Sabrina Amanda Salsabila Saepul Aripiyanto Satria Dawas Zhalifunas Septiana Rahayu Setiawan, Revi Shofa Shofia Hilabi Shofa Shofia Hilabi Shofa Shofiah Hilabi Shofa Shofiah Hilabi Shofia Hilabi, Shofa Sifa, Sifa Rismawati Siregar, Amril Mutoi Siti Masruroh Siti Masruroh Sofia Ramadanti Az-Zahra Subhan Algifari Algi Sutan Faisal Syahri Susanto Tatang Rohana Teresa Abuya Titik Khawa Abdurahman Topan Setiawan Topan Trianto Tukino tukino, tukino Tukino, Tukino Tukino, Tukino Vina Andini Wahyu Aziz Ramadhani Yazid, Muhammad Abi Zahra, Nabila Zein, Selmia Aulia