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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Seminar Nasional Aplikasi Teknologi Informasi (SNATI) CommIT (Communication & Information Technology) Jurnal Kebidanan Dan Kesehatan Tradisional JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Journal of Economic, Bussines and Accounting (COSTING) International Journal of New Media Technology CHEESA: Chemical Engineering Research Articles Jurnal ULTIMA InfoSys Jurnal ULTIMA Computing IKRA-ITH EKONOMIKA JISIP: Jurnal Ilmu Sosial dan Pendidikan PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat JISICOM (Journal of Information System, Infomatics and Computing) ACADEMICS IN ACTION Journal of Community Empowerment Journal of Information Systems and Informatics JISA (Jurnal Informatika dan Sains) Jurnal PORKES Indonesian Journal of Electrical Engineering and Computer Science Computer Science and Information Technologies Jurnal Darma Agung Indonesian Journal of Global Health research Indonesia Berdaya Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Integral : Jurnal Penelitian Pendidikan Matematika Warta AKAB Jurnal Pengabdian Masyarakat Nusantara Journal Midwifery Jurusan Kebidanan Politeknik Kesehatan Gorontalo Jurnal Abdi Masyarakat Indonesia Ikhtisar: Jurnal Pengetahuan Islam International Journal of Management Science and Information Technology (IJMSIT) Jurnal Begawe Teknologi Informasi Prabayaksa: Journal of History Education Indonesian Journal of Cancer IT For Society : Journal of Information Technology Sharia Agribusiness Journal Journal of Industrial Community Empowerment Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Indonesian Journal of Community Empowerment (IJCE) e-Jurnal Apresiasi Ekonomi JPM-AKA HUPERETES: Jurnal Teologi dan Pendidikan Kristen Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics Neraca Manajemen, Akuntansi, dan Ekonomi Jurnal Kesehatan Metro Sai Wawai Jurnal Multidisiplin Indonesia Journal of Social Work and Science Education ZIJEn: Zabags International Journal of Engagement Akiratech JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Rosalina Rosalina
President University
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Journal : Jurnal Teknik Informatika (JUTIF)

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STUDENT FOCUS DETECTION USING YOU ONLY LOOK ONCE V5 (YOLOV5) ALGORITHM Rosalina, Rosalina; Bimantoro, Fitri; Suta Wijaya, I Gede Pasek
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 5 (2024): JUTIF Volume 5, Number 5, Oktober 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.5.1977

Abstract

Education has a very important role in life, student involvement in the learning process in the classroom is an important factor in the success of learning. However, some students pay less attention to the lesson, indicating a lack of productivity in learning. The use of machine learning and computer vision techniques has undergone significant development in the last decade and is applied in a variety of applications, including monitoring student attention in the classroom. One of the commonly used techniques in machine learning and computer vision to detect objects is by applying image processing. One of the algorithms implemented for object detection that can provide good results is You Only Look Once. This research proposes the application of YOLOV5 in real time student focus detection and analyzes the performance and computational load of the five YOLOV5 architectures (YOLOV5n, YOLOV5s, YOLOV5m, YOLOV5l, and YOLOV5x) in student surveillance during classroom learning. The dataset used is video data that has been converted into image form, and 297 images are produced. Where, this dataset is divided into 2 classes, namely the "Focus" and "Not Focus" classes. The results show that YOLOV5x has the highest computational load with large parameter values and GFLOPs. However, in term model performance YOLOV5m provides more optimal results than other architectures, with precision of 83.3%, recall of 85.1%, and mAP@50 of 89.9%. The results of this study show that the proposed YOLOV5 model can be a good performing method in detecting student focus in real time.
Development of a Convolutional Neural Network Method for Classifying Ripeness Levels of Servo Variety Tomatoes Rosalina, Rosalina; Husodo, Ario Yudo; Wijaya, I Gede Pasek Suta
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.4168

Abstract

The distribution of tomatoes in Indonesia is huge, making it an important commodity in the agricultural sector. However, manual classification of tomato ripeness can lead to human error and decrease supply chain efficiency. Therefore, an automated system capable of classifying tomatoes quickly and accurately is needed, in order to reduce the potential for human error and improve supply chain efficiency. This research aims to develop the Convolutional Neural Network (CNN) method to improve the accuracy of tomato ripeness detection through modifications to the architecture, such as reducing several layers, adding batch normalization, and adding dropouts. The dataset used in this study consists of 500 images taken by the researcher himself which are divided into 5 classes, namely unriped, half-riped, riped, half-rotten, and rotten, with each class containing 100 images. There are 3 proposed CNN models, namely the standard model, as well as the addition of batch normalization and dropout in the architecture. The results showed that the proposed model 3 with the addition of dropout on several layers of its architecture is the optimal model with a parameter of 2.4 million and using a batch size of 16 resulting in an accuracy of 98%, as well as precision, recall, and F1-score values of 98%. With these results, the proposed CNN model is effective in identifying the ripeness level of tomato fruit. This research is expected to be applied in the agricultural industry to improve the efficiency of sorting and distributing tomato fruits according to the desired quality standards.
Co-Authors Abdul Ghofir Ade Davy Wiranata Afriliana, Nunik Afriyadi, Afriyadi Ahmad Zakaria Aishaa Lula Al Qadri, Muhammad Vannes Al-Tain, Qolibu Rozak Alhafish, Muhammad Radhi Alham, Fiddini Anthony Kosasi Anugrah Putra Permana Ardi wijaya Ardini, Ni Luh Ica Ario Yudo Husodo, Ario Yudo Ariyansyah, Riyan Armando, Yoel Ashura, Amar Asriyani, Wa Ode Astuti, Kristiana Aynuddin, Aynuddin Azhar, Kheiza Noor Aulia Batubara, Hani Maisyarah Bimo Seto, Kahfi Akmal Janitra Brian Sumali Brian Sumali, Brian Budi Sulistyo Bukman Lian, Bukman Candra Irawan Chairil Anwar Chong Min An Christina Christina Christina Christina Cindy Laura Davy Wiranata, Ade Desriva, Hana Dessy Wardiah, Dessy Dewanto, Muhammad Ridho Dewi, Resita Dewin, Nikrial Dharma, Agus Pambudi Djanis, Ratnawati Lilasari Djasmasari, Wittri Dwi Ratnasari Eko Supriadi Eko Susilo EKO YULIANTO Elvinaadellia, Elvinaadellia Emilia Roza Endang Sri Lestari Enriyani, Riri Eviriawan, Eviriawan Fahmi, Hasanul Farhan Alif Firmansyah, Firadaus Fitri Bimantoro Friyatmi Friyatmi Galih, Yunita Gunadi, Reza Hardwin Welly Tulili Panandu Hartono, Bryan Arista Hayatuddin, Khalisah Hendra Jayanto Herlianti, Elva Hikma Hikma, Hikma Hilda, Atiqah Meuti HILMAN TADJOEDIN, HILMAN Hokki Putra Handika Huwae, Raphael Bianco I Gede Pasek Suta Wijaya Ibadurrohman, Fadhil Muhammad Ivan Michael Siregar Ivan Michael Siregar, Ivan Michael Jatmika, Andy Hidayat Kahri, Ma'ruful Kasim, Nurdian Kun Fayakun Leandro Okhotan3, Simplisius Lisandi, Anisa Lita Yusnita Liyanovitasari, Liyanovitasari MA'MUN, AKHMAD HAQIQI Mahfuz, Abdul Latif Makmun, Akhmad Haqiqi Masrukhan, M. Masrukhan Maulana, Ninda Baitza Meitiyani, Meitiyani Miftahuddin Miftahuddin Min An, Chong Mohamad Zaenal Arifin Anis Muchammad Sholeh Muharramah, Alfi Zahrah Mukhtar, Ahmad Amirrudin Nadya Rizki, Ailsya Nanda, Yovalentino Aprilian Wijaya Natia, Natia Nofendri, Yos Nugraha, Dida Septiya Nunik Afriliana Nunik Pratiwi Nur Hadisukmana Nurdiani Nurdiani, Nurdiani Nurdiansyah Nurdiansyah Nurrahmi, Rara Paridjo Paridjo, Paridjo Paryono Pinardi, Sofia Ponoharjo, Ponoharjo Pramesty, Meta Pramudya, Muhammad Kemal Caesar Aqidah Pratiwi, Nunik Prawitasari, Melisa PUJI LESTARI Puji Rahayu Puspitasari, Lutfiana Puspitasari, Riska Putri, Dwi Kemala Putri, Imalia Dwi R. B. Wahyu R.B. Wahyu Rabbani, Abrar Dyah Rachmy, Silvia Raden Bagus Wahyu Rahardjo, Rafi Diandra Dani Rahayu, Leni Sri Rahmad, Dedy Rahman, Edriza Rahmatia, Lintannisa Rahmi Imanda Ramza, Harry Regina Valeria Rifaldi Rifaldi, Rifaldi Rila Mandala Rila Mandala Rini Andriani Riyan Ariyansah Rochgiyanti Rohayani, Hani Rossianiz, Arien Biangningrum Rusdianto Roestam Rusdianto Roestam Sahuri, Genta Sahuri Sajiah, Adha Mashur Saputra, Riza Hadi Sengkey, Axel Septian, Wira Aditia Setyaningsih, Maryanti Sih Rini Handajani Simplisius Leandro Okhotan3 Sinduningrum, Estu Sri Agustina, Sri Sri Wahyuni Srimulati, Triwik Styani, Erna Suhartini Suhartini Sukiman, Maman Sulistiawati Sulistiawati Surahman, Bambang Suratman Suratman Suryana, Kresna Dharma Susi Evanita Syahir, Muhammad Tambunan, Jenny Anna Margaretha Tika, Nuri Hidayah Tjong Wan Sen Ulia, Hasnah Ummu Kalsum Utami, Andita Wahyu Hidayat Wahyu, R. B. Wahyu, Raden Bagus Welly Tulili Panandu, Hardwin Widarta, Oskar Ady Widodo, Muh. Adnan Widodo, Muhammad Adnan Wijaya, Ardi Winastuti, Ambar Windia Hadi, Windia Wiranto Herry Utomo Wirawan, I Gde Putu Wirarama Wedashwara Wulandari, Triyana Wulansari Yatima, Khusnul Yusnita, Lita Yusuf, Syahrul Bassam Yuyu Wahyu