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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Pekommas Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Journal of Animation & Games Studies JMM (Jurnal Masyarakat Mandiri) Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) KOMPUTIKA - Jurnal Sistem Komputer Jurnal Ilmiah Inovasi J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Terapan (J-TIT) JURNAL ILMU KOMPUTER INDONESIA JTIM : Jurnal Teknologi Informasi dan Multimedia Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) International Journal of Healthcare and Information Technology
I Gede Wiryawan
Program Studi Teknik Komputer/Jurusan Teknologi Informasi, Politeknik Negeri Jember
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Public Health Other

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Prototipe Sederhana Sistem Deteksi Kriminal Berbasis Internet Of Things Menggunakan Teknologi YOLOv5 Nurfal Aziz, Afris; Khoiriyah, Hani’atul; Abdillah, Fauzan; Wiryawan, I Gede
Komputika : Jurnal Sistem Komputer Vol 13 No 1 (2024): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v13i1.12217

Abstract

Crime is any action or thing carried out by an individual, group or community that violates the law or is a criminal act, which disturbs social balance or stability in society. One of the tools used to monitor security in various places such as homes, offices and other public places is Closed-Circuit Television (CCTV). However, even though many CCTVs have been installed, many crimes still occur due to limitations in monitoring and supervision by security officers. Therefore, developing a crime detection system on CCTV using deep learning methods is considered important to increase security and reduce crime rates. The aim of a criminal detection system is to increase security and prevent criminal acts in a certain area or place. The technology used is YOLOv5 and is supported by Internet of Things-based hardware. The system succeeded in detecting violence objects 92% of the time and robbery 91% of the time in initial testing without background. In the second background test, the system succeeded in detecting violence objects 93% of the time and robbery 53% of the time. The system succeeded in detecting violence objects 91% of the time and robbery 83% of the time in real-time testing.
Sistem Deteksi Kekerasan Real-Time menggunakan YOLOv5 untuk Keamanan Publik Abdillah, Fauzan; Khoiriyah, Hani’atul; Aziz, Afris Nurfal; Wiryawan, I Gede
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2024: SNESTIK IV
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2024.5861

Abstract

Kekerasan, baik secara fisik, mental, maupun emosional, merupakan masalah serius yang menghambat pemenuhan hak asasi manusia dan kesempatan untuk berkembang. Penelitian ini mengusulkan solusi untuk mendeteksi kekerasan dengan memanfaatkan algoritma YOLOv5. Proses pengembangan mencakup pengumpulan dataset, pelatihan model, pengujian, dan analisis model. Dataset terdiri dari 6.000 gambar yang dilabeli sebagai "violence" dan “normal”, yang dibagi menjadi train, valid, dan test set. Model dilatih dengan 50 epoch, menunjukkan akurasi deteksi sebesar 73.08%. Evaluasi model menggunakan Confusion Matrix menunjukkan performa yang memadai, dengan 357 gambar violence terdeteksi dengan benar (True Positive). Namun, ada 160 gambar normal yang salah diklasifikasikan sebagai violence (False Positive). Model juga memiliki recall sekitar 86.55% untuk violence dan 80.26% untuk normal. Temuan ini menunjukkan potensi besar solusi ini dalam mendukung upaya pencegahan kekerasan dan pemantauan situasi secara real-time, serta memberikan kontribusi dalam menciptakan lingkungan yang lebih aman dan responsif terhadap kekerasan.
Penerapan Algoritma Certainty Factor pada Metode Case-Based Reasoning untuk Sistem Pakar Deteksi Stunting I Gede, Wiryawan; Wiryawan, I Gede; Yuwita, Kirana; Kurniasari, Arvita Agus
Jurnal Pekommas Vol 9 No 1 (2024): Juni 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i1.5279

Abstract

Stunting is a severe problem that significantly impacts future generations' growth and the quality of Human Resources (HR). In addition to the under-five age factor, stunting is also influenced by several interrelated factors. This research aims to apply the Certainty Factor algorithm in an expert system to detect stunting using the Case-Based Reasoning Method. The application of the CF algorithm by utilizing expert judgment has successfully strengthened the CBR method steps by calculating the similarity level. The results of the User Acceptance Test by 25 respondents showed an approval rate of 85%. If interpreted using the user approval range, these results are 81% - 100%, with a very high level of agreement. Based on calculating risky and safe stunting example cases, the CBR Method shows a similarity rate of 29.26% and 70.73%, respectively. Furthermore, safe stunting cases were analyzed using the CF algorithm with a confidence ratio of 91%.
Penerapan Algoritma Certainty Factor pada Metode Case-Based Reasoning untuk Sistem Pakar Deteksi Stunting I Gede, Wiryawan; Wiryawan, I Gede; Yuwita, Kirana; Kurniasari, Arvita Agus
Jurnal Pekommas Vol 9 No 1 (2024): Juni 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i1.5279

Abstract

Stunting is a severe problem that significantly impacts future generations' growth and the quality of Human Resources (HR). In addition to the under-five age factor, stunting is also influenced by several interrelated factors. This research aims to apply the Certainty Factor algorithm in an expert system to detect stunting using the Case-Based Reasoning Method. The application of the CF algorithm by utilizing expert judgment has successfully strengthened the CBR method steps by calculating the similarity level. The results of the User Acceptance Test by 25 respondents showed an approval rate of 85%. If interpreted using the user approval range, these results are 81% - 100%, with a very high level of agreement. Based on calculating risky and safe stunting example cases, the CBR Method shows a similarity rate of 29.26% and 70.73%, respectively. Furthermore, safe stunting cases were analyzed using the CF algorithm with a confidence ratio of 91%.
Integration of Mapping Malnutrition Cases in Toddlers Based on Geographic Information System With Media Communication Information Education in Health Wiryawan, I Gede; Perwiraningrum, Dhyani Ayu; Hudori, Huda Ahmad
International Journal of Healthcare and Information Technology Vol. 1 No. 2 (2024): January
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijhitech.v1i2.4564

Abstract

In this study, the stunting case incidence mapping system has been further developed, and its integration with Communication, Information, and Education (KIE) media in the health sector. This study aims to increase knowledge about the world of health, especially related to stunting, through the integration of KIE media into data visualization of stunting cases. The results of developing this system integration include a fairly good level of acceptance from the community, as evidenced by the results of User Acceptance Testing (UAT) carried out on health workers and mothers with children under five. Functional testing of the system has also been completed with the conclusion that several features need to be improved. UAT testing obtained results worth 87%, and from functionality testing a success rate reached 90%, but all improvements have been completed. Future studies that can be carried out are to implement this integrated system more widely.
Implementation of Digitalization in Budget Management Services Using Smart Finance Purbaningtyas, Rani; Wiryawan, I Gede; Oktaviani, Siska Aprilia; Albaab, Mochammad Rifki Ulil
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 10 No 1 (2025): April
Publisher : Politeknik Negeri Jember

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

Abstract

Budget management plays a crucial role in every type of organization. Effective budget management enables an organization to plan and allocate available resources efficiently. It also serves as a performance measurement tool for the organization. Inefficient budget management can lead to resource wastage. The implementation of the Smart Finance application, developed using a web platform, provides a digital solution for budgeting management services. This Smart Finance application has been tailored to meet the needs of user partners. Adjustments to the Smart Finance application are based on the identification and data collection of partner needs from the previous stages. The implementation of the Smart Finance application has also undergone testing and technical guidance support for users at all levels, ensuring that users find it easier to utilize the Smart Finance application.
Implementasi Deteksi Gerakan Tangan untuk Sistem Interaktif Kios menggunakan Metode Long Short-Term Memory (LSTM) Kurniasari, Arvita Agus; Wiryawan, I Gede; Dewi Puspitasari, Pramuditha Shinta; Rizaldi, Taufiq; Putra, Dhony Manggala
Komputika : Jurnal Sistem Komputer Vol. 14 No. 1 (2025): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v14i1.14914

Abstract

Deaf individuals in Indonesia face challenges in using voice-based technology. This study aims to develop an interactive kiosk system utilizing hand gesture detection based on Long Short-Term Memory (LSTM) to provide a more inclusive solution. The research process includes collecting hand gesture datasets using MediaPipe, splitting the dataset into training and testing data with a 75:25 ratio, and training the model using a Learning Rate Scheduler. The model architecture is designed to capture patterns from keypoint data by optimizing the use of dropout layers and the softmax activation function. The evaluation shows that the model achieves an accuracy of 90.22% on the test data, with an average precision of 91%, recall of 89%, and F1-score of 90%. The trial results also demonstrate consistent performance for simple gestures, while accuracy decreases for complex gestures and greater distances. This research provides a significant contribution to enabling voice-free interaction, particularly for deaf individuals, by integrating LSTM technology into interactive kiosk systems.
Metasual : Permainan Edukasi Seksual dalam Peningkatan Pengetahuan dan Kesadaran Remaja tentang Penyakit Seksual Menular Khoiriyah, Hani’atul; Nurillahilwafi, Nurillahilwafi; Pratama, Ade Bagus; Wiryawan, I Gede
Journal of Animation and Games Studies Vol 11, No 1 (2025): April 2025
Publisher : Institut Seni Indonesia Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24821/jags.v11i1.11535

Abstract

Permasalahan utama kesehatan reproduksi remaja adalah masalah perilaku dan pergaulan bebas. Hal tersebut menjadikan pendidikan seksual semakin penting karena praktik seksual yang tidak sehat dan risiko kesehatan yang ditimbulkan. Salah satu media atau alat yang menjadi kegemaran remaja adalah game atau permainan dapat menjadi solusi dari permasalahan sebelumnya. Tujuan dikembangkannya permainan ini sebagai alat edukasi seksual untuk memberikan pendekatan belajar yang lebih interaktif dan menarik bagi remaja yang kurang tertarik dengan metode pengajaran tradisional. Metode dalam kegiatan pengembangan didasarkan pada metodologi Design and Development Research yang melibatkan perancangan dan pengembanan game sebagai alat pendidikan. Pengujian tidak hanya dilakukan secara langsung pada target pengguna, namun tahap uji coba ini juga dilanjutkan pada pengujian dengan menggunakan metode User Experience Questionnaire (UEQ). Berdasarkan hasil pengujian dengan menggunakan Skala Shorts UEQ, hasil menunjukan aplikasi game METASUAL sudah memprioritaskan keasyikan untuk pengguna, kemudian menarik untuk pengguna, berdaya cipta bagi pengguna, dan terdepan menurut sudut pandang pengguna. Hal tersebut sejalan dengan nilai skala hedonis yang sebesar 1,702.  Studi kelanjutan yang dapat didasari dari kegiatan ini adalah studi mengenai pengembangan fitur lebih lanjut dari aplikasi permainan ini
PENDEKATAN TOYA DALAM PEMBERDAYAAN GENERASI Z SEBAGAI AGEN PERUBAHAN MELALUI PELATIHAN INTERNET OF THINGS Baskara Utoyo, Deva; Meydiantika Anggia Putri, Tri Farin; Widiawan, Beni; Wiryawan, I Gede
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 2 (2025): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i2.29401

Abstract

Abstrak: Generasi Z membawa pengetahuan, keterampilan, dan semangat yang memiliki potensi untuk membentuk arah perkembangan ekonomi dunia. Peran Gen- Z sebagai agen perubahan menjadi pusat kemajuan bangsa Indonesia. Teknologi Internet of Things memainkan peran sentral dalam pertumbuhan ekonomi yang berkelanjutan. Solusi untuk mengatasi tantangan penerapan IoT di ancaman stabilitas dan pembangunan pendidikan di Indonesia melalui penerapan pendekatan Tutor Sebaya. Tujuan kegiatan ini mengenalkan penerapan teknologi IoT dengan pendekatan Toya untuk meningkatkan kemampuan hardskill bagi peserta dan softskill bagi tutor sebaya, serta mendapatkan perbandingannya dengan tenaga pengajar di kelas biasa menggunakan kuesioner metode pretest dan posttest. Tahapan kegiatan dilakukan mulai tahap pra, pelaksanaan, dan evaluasi. Bentuk tahapan kegiatan melalui focus group discussion, kerja sama, perancangan modul, pengujian prototipe, pelatihan workshop IoT dan simulasi pendampingan tutor sebaya, terakhir evaluasi. Hasil yang didapatkan dari 50 peserta, nilai pretest dan posttest mengalami peningkatan dan selisih perbedaan tidak signifikan, yaitu hanya 2% selisih perbedaan antara siswa yang mengikuti pelatihan IoT kelas dengan tutor sebaya dan siswa yang mengikuti pelatihan IoT dengan tenaga pengajar di kelas biasa. Inisiatif tutor sebaya ini menunjukkan bahwa dengan pendekatan yang tepat, Gen-Z dapat menjadi agen perubahan yang efektif.Abstract: Gen-Z brings knowledge, skills and passion that have the potential to shape the direction of the world's economic development. Gen-Z's role as agents of change is central to Indonesia's progress. Internet of Things technology plays a central role in sustainable economic growth. The solution to overcome the challenges of applying IoT in the threat of stability and educational development in Indonesia through the application of the Peer Tutor approach. The purpose of this activity is to introduce the application of IoT technology with Toya approach to improve hardskills and softskills, and get a comparison with teaching staff in normal classes using a pretest and posttest method questionnaire. The activity stages were carried out starting from the pre, implementation, and evaluation stages. The form of activity stages through focus group discussions, cooperation, module design, prototype testing, IoT workshop training and peer tutor mentoring simulations, finally evaluation. The results obtained from 50 participants, the pretest and posttest scores have increased and the difference is not significant, which is only 2% difference between students who take part in class IoT training with peer tutors and students who take part in IoT training with teaching staff in regular classes. This peer tutor initiative shows that with the right approach, Gen-Z can be effective agents of change.
Violence and Robbery Detection System Using YOLOv5 Algorithm Based on IoT Technology Khoiriyah, Hani'atul; Abdillah, Fauzan; Aziz, Afris Nurfal; Wiryawan, I Gede
Telematika Vol 18, No 2: August (2025)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v18i2.3088

Abstract

Violence and robbery are two common forms of crime that often cause material losses, psychological trauma, and insecurity within society. Conventional CCTV systems are limited in preventing such incidents, which highlights the need for more intelligent and responsive security solutions. The primary objective of this research is to design and evaluate SmartGuard, a real-time detection system for violence and robbery based on artificial intelligence (AI) using the YOLOv5 algorithm, integrated with Internet of Things (IoT) technology for remote monitoring. This study employed an experimental design with several stages: dataset preparation, model training, testing, model analysis, and system integration with Raspberry Pi, Firebase, and a mobile application. The dataset consisted of 6,900 labeled images across three classes: violence, robbery, and normal activity. Model evaluation was conducted using a separate test dataset and analyzed with a confusion matrix. The results show that the model achieved an overall accuracy of 70.94%. The system performed relatively well in detecting violence, with a precision of 71.13% and an F1-score of 62.47%. However, recall values for robbery (47.53%) and normal activity (48.99%) were considerably lower, indicating challenges in consistently recognizing these classes. Despite these limitations, SmartGuard allows users to view and receive notifications in emergency situations, enabling them to take quick action and monitor the situation effectively.
Co-Authors Abdillah, Fauzan Ade Bagus Pratama, Ade Bagus Agus Purwadi Aji Seto Arifianto Albaab, Mochammad Rifki Ulil Andis Trihariprasetya Arvita Agus Kurniasari Aziz, Afris Nurfal Aziz, Afris Nurfal Baskara Utoyo, Deva Bekti Maryuni Susanto Beni Widiawan, Beni Dewi Puspitasari, Pramuditha Shinta dony setiawan hendyca putra Ely Mulyadi Ely Mulyadi Estin Roso Pristiwaningsih Eva Rosdiana FAUZAN ABDILLAH Hudori, Huda Ahmad Indah Qurrothul Uyun Khafidurrohman Agustianto Khafidurrohman Agustianto Khoiriyah, Hani'atul Khoiriyah, Hani’atul Kurniasari, Arvita Agus Kursita Dewi Safitri Linda Dwi Wahyuningsih Maulida Dwi Agustiningsih Meydiantika Anggia Putri, Tri Farin Muhammad Yusuf Mukhamad Angga Gumilang Muknizah Aziziah Mulyadi, Ely Nugroho Setyo Wibowo Nurfal Aziz, Afris Nurillahilwafi, Nurillahilwafi Oktaviani, Siska Aprilia Perwiraningrum, Dhyani Ayu Prawidya Destarianto Putra, Dhony Manggala Rani Purbaningtyas, Rani Taufiq Rizaldi Trihariprasetya, Andis Vyan Ary Pratama Yogiswara Yogiswara Yuwita, Kirana