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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Akuntansi Indonesia Jurnal Simetris Prosiding SNATIF Jurnal Pseudocode E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal SOLMA Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal DISPROTEK International Journal of Elementary Education EDUMATIC: Jurnal Pendidikan Informatika Jurnal SITECH : Sistem Informasi dan Teknologi Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Journal of Information Technology Ampera Indonesian Journal of Technology, Informatics and Science (IJTIS) Journal of Software Engineering Ampera Jurnal UNITEK Devotion: Journal of Research and Community Service Jurnal Pengabdian Masyarakat (ABDIRA) Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Muria Jurnal Layanan Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Locus Penelitian dan Pengabdian Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer IC Tech: Majalah Ilmiah Jurnal Sistem Informasi dan Manajemen Sasambo: Jurnal Abdimas (Journal of Community Service) International Journal of Artificial Intelligence and Science IC Tech: Majalah Ilmiah
Wiwit Agus Triyanto
Universitas Muria Kudus
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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PENERAPAN YOLOv5 UNTUK SISTEM DETEKSI DAN MONITORING LAHAN PARKIR OTOMATIS Putri, Rizka Ferbriliana; Triyanto, Wiwit Agus; Setiaji, Pratomo
JURSIMA Vol 12 No 3 (2025): Volume 12 Nomor 3 2025
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v12i3.1172

Abstract

Pertumbuhan kendaraan di wilayah perkotaan menimbulkan permasalahan keterbatasan lahan parkir dan waktu pencarian tempat parkir yang lama. Penelitian ini bertujuan untuk merancang dan menerapkan sistem yang dapat secara otomatis mendeteksi dan memantau ketersediaan lahan parkir dengan memanfaatkan algoritma YOLOv5 serta citra yang diambil dari kamera drone. Metode yang digunakan mencakup akuisisi data citra melalui rekaman drone dari dua sudut pandang berbeda (atas dan samping), pelabelan data, pelatihan model deteksi objek, serta klasifikasi status slot parkir (kosong atau terisi). Evaluasi sistem dilakukan dengan mengukur precision, recall, accuracy, dan mAP@0.5. Hasil pengujian menunjukkan bahwa sudut pandang memengaruhi akurasi deteksi: pada sudut pandang samping, sistem memperoleh precision 100%, recall 75,86%, dan mAP@0.5 sebesar 75,86%, sedangkan pada sudut atas recall dan mAP@0.5 turun menjadi 35,29% dan 35,00%. Visualisasi Confusion Matrix dan Precision-Recall Curve mendukung hasil ini. Sistem yang dibangun terbukti mampu mendeteksi dan memantau ketersediaan lahan parkir secara real-time dengan visualisasi pada dashboard digital. Pemanfaatan kamera drone memberikan kemampuan untuk menjangkau area yang lebih luas dan fleksibel dibandingkan dengan penggunaan kamera statis. Dengan demikian, sistem ini memiliki potensi untuk menjadi solusi praktis dalam pengembangan smart parking berbasis deep learning di ruang publik. Kata Kunci: YOLOv5, deteksi kendaraan, smart parking, kamera drone, deep learning.
Sistem Klasifikasi Kematangan Apel Fuji berdasarkan Warna menggunakan KNN untuk Sortasi Otomatis Maula, Ahmad Inzul; Triyanto, Wiwit Agus; Setiaji, Pratomo
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.31243

Abstract

Manual fruit sorting typically relies on workers' visual observation to assess ripeness. This assessment is heavily influenced by individual experience and lighting conditions, often leading to inaccuracies. Furthermore, manual methods are time-consuming, increase the risk of misclassification, and reduce operational efficiency. Our research aims to develop a color-based Fuji apple ripeness classification application using the K-Nearest Neighbor algorithm that combines RGB and HSV features. Our research is developmental research using the Waterfall model, consisting of requirements analysis, design, implementation, testing, and maintenance. We used 240 fuji apple images sourced from images taken in the Kudus area. Our findings are an automatic classification application capable of classifying apple images into three ripeness levels: unripe, semi-ripe, and ripe. The evaluation results showed an accuracy of 93.75% with balanced precision, recall, and f1-score across all classes, confirming the system's stable performance without any indication of bias. Testing results using the black-box method in three scenarios opening the application, uploading an image, and reclassifying proved that all features performed as expected. The implication is that this application is ready for use in camera-based sorting in horticultural production lines and can be developed for other fruit classifications, supporting widespread post-harvest digitalization.
Implementasi Pengenalan Plat Nomor Kendaraan Wilayah K Dikota Kudus Dengan Yolo Dan OCR Ramandani, Fitri; Setiaji, Pratomo; Triyanto, Wiwit Agus
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.916

Abstract

Traffic congestion caused by the rapid increase in motor vehicles without proportional infrastructure development demands a more efficient and accurate vehicle identification system. One crucial component is the Vehicle Registration Number (TNKB), which serves as the official identifier. License Plate Recognition (LPR) technology provides a Smart Mobility solution that enables automatic reading of TNKB from digital images. This study aims to develop an automatic license plate recognition system in the "K" region of Kudus City using YOLO object detection and EasyOCR-based Optical Character Recognition (OCR). YOLO is used to detect license plate regions in both images and video in real time, while OCR is applied to recognize the characters. Previous studies have shown that YOLOv4 and YOLOv8 models achieve detection accuracies above 90% and can operate on low-resource devices under poor lighting conditions. This system is expected to improve the efficiency of vehicle data recording, reduce manual errors, and support the integration of smarter transportation systems. In conclusion, the implementation of LPR using YOLO and OCR shows strong potential for application in local traffic environments such as Kudus City.
SISTEM INFORMASI MANAJEMEN STOK DAN PRODUKSI PAKAIAN ANAK BERBASIS WEB PADA UMKM LINDA COLLECTION MENGGUNAKAN METODE SAFETY STOCK Iskandar, Iskandar; Triyanto, Wiwit Agus; Fithri, Diana Layli; Arifin, Muhammad
Jurnal SITECH : Sistem Informasi dan Teknologi Vol 8, No 1 (2025): JURNAL SITECH VOLUME 8 NO 1 TAHUN 2025
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/sitech.v8i1.15556

Abstract

UMKM Linda Collection, yang bergerak di bidang produksi pakaian anak, menghadapi kendala dalam pengelolaan stok dan proses produksi akibat pencatatan manual yang mengakibatkan ketidaksesuaian data dan risiko kekurangan maupun kelebihan stok. Penelitian ini bertujuan untuk mengembangkan sistem informasi manajemen stok dan produksi berbasis web yang dilengkapi dengan metode Safety Stock guna mengoptimalkan pengendalian persediaan. Metode pengembangan sistem menggunakan pendekatan System Development Life Cycle (SDLC) model waterfall, sedangkan perancangan sistem menggunakan Unified Modeling Language (UML). Sistem yang dibangun memungkinkan pengguna untuk memantau stok secara real-time, menghitung persediaan pengaman, mengelola transaksi produksi, dan menyusun laporan berbasis data. Hasil implementasi menunjukkan bahwa sistem ini mampu meningkatkan efisiensi proses bisnis, meminimalkan risiko stock-out maupun overstock, serta mendukung pengambilan keputusan yang lebih akurat di lingkungan UMKM.
KLASIFIKASI EKSPRESI EMOSI WAJAH BAHAGIA DAN TIDAK BAHAGIA MENGGUNAKAN ARSITEKTUR MOBILENETV2 BERBASIS DEEP LEARNING Zahra, Fatimah Az; Setiaji, Pratomo; Triyanto, Wiwit Agus
Jurnal SITECH : Sistem Informasi dan Teknologi Vol 8, No 1 (2025): JURNAL SITECH VOLUME 8 NO 1 TAHUN 2025
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/sitech.v8i1.15546

Abstract

Penelitian ini bertujuan membangun sistem klasifikasi ekspresi wajah dua kelas (happy dan not happy) menggunakan arsitektur Convolutional Neuran Network (CNN) berbasis MobileNetV2 yang ringan dan efisien. Dataset yang digunakan merupakan gabungan dari FER2013, Pinterest, dan Roboflow, yang telah melalui proses augmentasi dan preprocessing. Model dilatih menggunakan metode 5-Fold Cross Validation untuk memperoleh evaluasi yang lebih stabil dan menyeluruh. Hasil penelitian menunjukkan bahwa model mencapai rata-rata akurasi validasi sebesar 81,49%, dengan nilai precision, recall, dan F1-score yang seimbang. Model kemudian diimplementasikan dalam sistem web berbasis Flask, memungkinkan pengguna mengunggah gambar dan memperoleh hasil klasifikasi dalam bentuk label teks. Pengujian menggunakan gambar wajah pribadi menunjukkan bahwa sistem memiliki kemampuan generalisasi yang baik pada data nyata di luar data latih. Penelitian ini menunjukkan bahwa arsitektur MobileNetV2 dapat diandalkan untuk tugas klasifikasi ekspresi wajah dua kelas berbasis gambar statis dan berpotensi dikembangkan lebih lanjut untuk aplikasi praktik di bidang pendidikan, interaksi manusia-komputer, dan layanan publik.
Real-Time Traffic Density and Anomaly Monitoring Using YOLOv8, OpenCV and Pattern Recognition for Smart City Applications in Demak Setiaji, Pratomo; Triyanto, Wiwit Agus; Nurhaliza, Maulin
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4867

Abstract

Urban traffic congestion is a persistent issue in medium-sized cities like Demak, leading to delays and potential accidents. This study presents the development of a real-time vehicle density and anomaly detection system using YOLOv8, combined with OpenCV for video analysis, to monitor traffic flow at strategic entry points of Demak City. The system classifies vehicles into four categories (cars, motorcycles, trucks, buses) and determines their direction by detecting crossing lines. A key feature is the recognition of vehicle patterns, particularly the detection of stopped vehicles, flagging anomalies after 30 seconds of stoppage, with tolerance for temporary detection losses. Traffic data is stored in CSV format, enabling periodic analysis and visualization via an interactive graphical user interface (GUI). Evaluation results show the YOLOv8n model achieves 92.5% precision, 88.3% recall, and 89.7% mean average precision (mAP@0.5), demonstrating improved accuracy and speed over previous YOLO versions. Additionally, the vehicle counting accuracy reaches 94.2% when compared with manual annotations. The proposed system provides a reliable solution for real-time traffic monitoring and early anomaly detection, supporting intelligent transportation systems (ITS) and enabling data-driven traffic management decisions. This research contributes to the advancement of real-time video analytics and pattern recognition for urban traffic control and serves as a scientific reference for the development of smart city infrastructures. Furthermore, this study strengthens the application of pattern recognition in intelligent anomaly detection, providing new insights for researchers in the fields of computer science and informatics.
Sentiment Analysis of Fizzo Novel Application Using Support Vector Machine and Naïve Bayes Algorithm with SEMMA Framework Pambudi, Satrio; Setiaji, Pratomo; Triyanto, Wiwit Agus
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4875

Abstract

The increasing popularity of digital reading platforms in Indonesia, such as Fizzo Novel, has generated many user reviews that can be analyzed to understand their satisfaction. This study analyzes user sentiment toward Fizzo Novel using the SEMMA (Sample, Explore, Modify, Model, Assess) framework, and compares the performance of the Support Vector Machine (SVM) and Naïve Bayes algorithms. A total of 139,759 reviews were collected from the Google Play Store through web scraping. The data was then processed through normalization, tokenization, lexicon-based sentiment labeling, and feature extraction using TF-IDF. To address class imbalance, the SMOTE technique was applied. The results showed that SVM achieved the highest accuracy, exceeding 96%, with a consistent F1-score across all sentiment classes. In contrast, Naïve Bayes recorded lower accuracy (75.82% before SMOTE and 73.63% after SMOTE), along with a decline in performance for the neutral class. SVM proved more reliable in handling large and imbalanced text data. Practically, the results of this study can help application developers such as Fizzo Novel in automatically understanding user opinions. With an accurate sentiment classification model, developers can monitor reviews in real-time, identify issues such as excessive advertising or an unpopular chapter division system, and design feature improvements based on real user needs. This research also provides a foundation for algorithm selection in future large-scale sentiment analysis projects and recommends SVM as the more appropriate choice in this context.
Appropriate Application of Sawob M-Banking Technology To Develop Waste Bank Management in Bae Village Noor Romadlon, Farid; Ratna Wijayani, Dianing; Agus Triyanto, Wiwit
Devotion : Journal of Research and Community Service Vol. 3 No. 4 (2022): Devotion: Journal of Research and Community Service
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/dev.v3i4.129

Abstract

Garbage is a consequence of human activities. Along with the increasing population and current economic growth, waste management in the community creates uncontrolable problems. Based on this, one of the Community Service Program teams at Universitas Muria Kudus established a partnership with the Tanjung Seto Youth Organization in Bae village to help manage waste in the area. The main and urgent problem from partners that needs to be resolved is the operational activities of the waste bank. These problems include the socialization of waste bank activities, technical transactions, and circulation of waste bank savings money so that it is more efficient, effective, and practical and more citizens participate. The objective of this program is to assist the operational activities of the waste bank by using an android-based application named SAWOB M-Banking to support the process and mechanism of the Waste Bank activities. The method used to implement the solution is mentoring and knowledge transfer. Identifying needs will be accomplished through data collection on waste bank schedules, the number of waste bank clients, waste categories and price values, and customer savings data. Furthermore, processing the obtained data then making the SAWOB M-Banking application. The SAWOB M-Banking application has been socialized to customers gradually and tested for 10 customers in waste bank activities. After being simulated, the SAWOB M-Banking application has been used for all waste bank customers in Bae village.
Development of a Web-Based Information System for Real-Time Fainting Detection Using YOLO in Smart Healthcare Triyanto, Wiwit Agus; Susanti, Nanik
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 10, No. 4, November 2025
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v10i4.2407

Abstract

Loss of consciousness (fainting) is a critical condition that requires prompt treatment, especially in the context of elderly health services and independent patient care. This research aims to develop a web-based information system that is able to detect fainting events in real-time using the You Only Look Once (YOLO) algorithm version 11, which is one of the latest approaches in deep learning-based object detection. The system is designed to monitor video from the surveillance camera directly, make visual inferences of the patient's posture, and provide automatic notifications if a loss of consciousness condition is detected. The dataset was obtained from the Roboflow platform and consists of 9,081 annotated images representing the fainting position. The YOLOv11 model was trained and tested using training data sharing, validation, and testing methods. The test results showed that the model achieved mAP, precision, recall and F1-score values of 98.70%, 98.00%, 97.30% and 97.65%, respectively. The developed information system is able to display the detection visually through the bounding box on the dashboard and record the time of the incident. With this performance, this system shows great potential in improving patient safety through intelligent monitoring and automated response in hospital, nursing home, and residential environments. This research also opens up opportunities for the development of more adaptive AI-based health monitoring systems and computer vision in the future.
Pembuatan Perpustakaan Digital Untuk Membangun Desa Cerdas di Era Modern Muzakkiy, Muhammad; Ridwan, Muhammad Eldo; Ilyas, Muhamad Dwi; Triyanto, Wiwit Agus
Muria Jurnal Layanan Masyarakat Vol 7, No 2 (2025): September 2025
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/mjlm.v7i2.15975

Abstract

This community service program aims to support digital transformation in rural areas through the establishment of a digital library as an initial step toward realizing a smart village. The program targets village officials, youth organizations, students, and the general public who have limited access to digital literacy resources. The implementation method adopts a collaborative and participatory approach, consisting of community needs assessment, joint program planning, installation of a web-based library system, content management training, and follow-up mentoring. The results show an increase in the community’s ability to access digital information, the formation of the Nganguk Digital Literacy Community as library managers, and a growing culture of reading among residents. This program demonstrates that the adoption of information technology at the village level can serve as a catalyst for inclusive and sustainable social transformation, driven by collaboration and a shared spirit of learning. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mendukung transformasi digital desa melalui pembangunan perpustakaan digital sebagai langkah awal menuju desa cerdas (smart village). Sasaran kegiatan mencakup perangkat desa, pemuda Karang Taruna, pelajar, dan masyarakat umum yang masih memiliki keterbatasan dalam literasi digital. Metode pelaksanaan dilakukan dengan pendekatan kolaboratif partisipatif melalui tahapan identifikasi kebutuhan masyarakat, perencanaan program bersama, instalasi sistem perpustakaan berbasis web, pelatihan pengelolaan konten, serta evaluasi dan pendampingan lanjutan. Hasil kegiatan menunjukkan adanya peningkatan kemampuan masyarakat dalam mengakses informasi digital, terbentuknya Komunitas Literasi Digital Nganguk sebagai pengelola perpustakaan digital, serta meningkatnya minat baca dan kolaborasi warga dalam menjaga keberlanjutan layanan literasi desa. Program ini membuktikan bahwa penerapan teknologi informasi di tingkat desa dapat menjadi katalisator perubahan sosial yang inklusif dan berkelanjutan melalui semangat gotong royong dan pemberdayaan masyarakat lokal.
Co-Authors - Universitas Muria Kudus, Muhammad Arifin - Universitas Muria Kudus, Nanik Susanti A.A. Ketut Agung Cahyawan W Agusta, Feriyan Alif Catur Murti, Alif Catur Amalia, Syifa Anastasya Latubessy Arif Setiawan Bila, Nanda Aulia Salsa Diana Laily Fithri Dimyati Utoyo Erlina Nofianti Fajar Nugraha Fakhriyyah, Anis Farid Noor Romadlon Ferianti, Lydya Ayu Fernando Candra Yulianto Fikri Hamdhan Fithri, Diana Layli H. Himawan Hanafi, Bachtiar Hartiningsih Hartiningsih Hasan Basri Hidayatullah, Muhamad Arzak Hutomo Rusdianto Ilyas, Muhamad Dwi Iskandar Iskandar Jamhari Jamhari Jayanti Putri Purwaningrum Kevin Putra Adama Khoiruz Zahro Khusnul Himam, Muhammad Latifah Nur Ahyani Maula, Ahmad Inzul Mochammad Imron Awalludin Muhammad Arifin Muzakkiy, Muhammad Nandalisa Lisa Fa’ati Rahmawati Nanik Susanti Nia Zuliyana, Nia Nisa, Nila Akhidatul Noor Latifah Nurhaliza, Aulia Nurhaliza, Maulin Pambudi, Satrio Pramita, Alvina Gusti Pratomo Setiaji Pratomo Setiaji Pratomo Setiaji Putri, Rizka Ferbriliana R Rhoedy Setiawan Ramandani, Fitri Ratna Wijayani, Dianing Retno Tri Handayani Riawan Yudi Purwoko Ridwan, Muhammad Eldo Rizal Naufal Farras Arkanda Selamet , Ahmad Alif Candra Semit, Danial Setiawan, Faris Apri shefia, faridah ayu Slamet Kusmanto, Agung Sonia Shekha Anggriani Sri Septiana, Deyana Fitri Stiaji, Pratomo Suku Rahayu, Sri Intan Supriyono Supriyono Syafiul Muzid Sya’diah, Ary Kania Tamami, Ghufron Teguh Prasetyo Vincent Suhartono Wahyu Wibowo, Angga Wardhani, Indah Kusuma Widodo, Wahyu Kurniawan Ade Nur Yudie Irawan Yuniarsi Rahayu Zahra, Fatimah Az Zuliyati Zuliyati Zuliyati Zuliyati