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All Journal Dinamik Bulletin of Electrical Engineering and Informatics Jurnal Simantec Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) INTEKNA SMATIKA JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Komputasi dan Teknologi Informasi CSRID (Computer Science Research and Its Development Journal) Jurnal Tekno Kompak Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Pencerah Publik Jurnal Informasi dan Teknologi JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Jurnal Sains Komputer dan Teknologi Informasi Journal of Engineering, Technology, and Applied Science (JETAS) Jurnal Peduli Masyarakat JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Tematik : Jurnal Teknologi Informasi Komunikasi Journal of Computer Networks, Architecture and High Performance Computing Jumat Informatika: Jurnal Pengabdian Masyarakat Majalah Ilmiah UPI YPTK TIERS Information Technology Journal Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Forum Kesehatan : Media Publikasi Kesehatan Ilmiah Dinamika Kesehatan: Jurnal Kebidanan dan Keperawatan Journal of Pharmaceutical Care and Sciences Sinergi International Journal of Communication Sciences Adpebi Science Series Politeia : Journal of Public Administration and Political Science and International Relations INSTALL: Information System and Technology Journal Midwifery And Complementary Care
Mambang
Universitas Sari Mulia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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Journal : JOIV : International Journal on Informatics Visualization

 1 
Image Prediction of Exact Science and Social Science Learning Content with Convolutional Neural Network - Mambang; Finki Dona Marleny
JOIV : International Journal on Informatics Visualization Vol 6, No 4 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.4.923

Abstract

Learning content can be identified through text, images, and videos. This study aims to predict the learning content contained on YouTube. The images used are images contained in the learning content of the exact sciences, such as mathematics, and social science fields, such as culture. Prediction of images on learning content is done by creating a model on CNN. The collection of datasets carried out on learning content is found on YouTube. The first assessment was performed with an RMSProp optimizer with a learning rate of 0.001, which is used for all optimizers. Several other optimizers were used in this experiment, such as Adam, Nadam, SGD, Adamax, Adadelta, Adagrad, and Ftrl. The CNN model used in the dataset training process tested the image with multiple optimizers and obtained high accuracy results on RMSprop, Adam, and Adamax. There are still many shortcomings in the experiments we conducted in this study, such as not using the momentum component. The momentum component is carried out to improve the speed and quality of neural networks. We can develop a CNN model using the momentum component to obtain good training results and accuracy in later studies. All optimizers contained in Keras and TensorFlow can be used as a comparison. This study concluded that images of learning content on YouTube could be modeled and classified. Further research can add image variables and a momentum component in the testing of CNN models.
Intelligent Monitoring System Framework for Peatland Management in IoT-Integrated Precision Agriculture Marleny, Finki Dona; Novriansyah, Irvan; Maulida, Ihdalhubbi; Ansari, Rudy; Mambang, Mambang; Saubari, Nahdi
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.2955

Abstract

Peatlands have excellent air retention capabilities and are crucial for environmental health. They act as natural sponges, absorbing and releasing air, which helps maintain soil moisture levels vital for crops. However, peatlands are highly sensitive ecosystems often threatened by unsustainable agricultural practices. When managed sustainably, peatlands scattered across the globe can be utilized for various farming activities. Managing peatlands for food crops presents an alternative to agriculture in peatland areas, enhancing economic growth in rural regions. This research aims to introduce a framework that integrates IoT into the intelligent monitoring of peatland management for precision agriculture. The primary challenge is implementing effective monitoring and management strategies for sensitive peatlands within precision agriculture. The main principle of precision agriculture is data-driven decision-making, supported by modern agricultural management that employs technology and data analysis to optimize farming practices. The proposed system framework can be utilized to identify the best types of food crops for making new decisions while ensuring high yields at the agricultural level. Precision agriculture principles are then applied to enhance the accuracy of monitoring peatland management, focusing on suitable land potential and food crops planted in areas with the highest potential. The results indicate that prioritizing peatlands for food crops reduces inappropriate decisions in selecting food crops. Furthermore, the efficiency of agricultural management can be improved with lower management costs. This framework provides a practical and user-friendly basis for informing all stakeholders on automating Peatland agriculture for food crops using precision agriculture systems integrated with IoT. Management practices that apply information technology aim to optimize crop inputs based on temporal and spatial variability. The cost-effectiveness from this perspective creates transition opportunities for communities, positioning our framework as a solution for designing Peatland management with intelligent monitoring.
Co-Authors Abdul Kadir Adini, Muhammad Hifdzi Ahmad Hidayat Ahmad Hidayat Ahmad Riki Renaldi Ahmad Riki Renaldy Akhmad Baddrudin Amelia, Mahlianor Anggrita Sari Anggrita Sari Antonia Yenitia Ari Yunus Hendrawan Aulia Fitri, Aulia Ayu Ahadi Ningrum Bambang Lareno, Bambang Bayu Nugraha Bayu Nugraha Bima Wicaksono Budiman, Haldi Cipta, Subhan Panji Dixky Dixky Dwi Salmarini, Desilestia Fatimah, Nora Ova Putri Martiani Finki Dona Marleny Fitriansyah, Muhammad Haniffah Sri Rinjani Hati Waruwu, Riang Heni Pujiastuti Hudatul Aulia Husna Karima Ika Hariati Ika Hariati Ika Hariati Ika Hariati, Ika Hariati Indah Tri Handayani Indah Wulandari Jaya Hari Santoso Johan Wahyudi Johan Wahyudi, Johan Kamarudin Kartika Kartika Kunti Nastiti Ladjar, Imelda Ingir Liliana Swastina M Samsul Hasbi M Samsul Hasmi Maria Ulfah Maulida, Ihdalhubbi Maulida, Nur Meilianti Melda Melda Melda, Melda Meyska Widyandini Miranda Miranda Mohammad Basit, Mohammad Muhammad Khairul Akbar Muhammad Riduan Syafi’i Muhammad Satrio Ayuba Muhammad Zaini Bakri Muhammad Ziki Elfirman Muhammad Zulfadhilah Mukhaimy Gazali Muliawan, dadang Mutiara R, Chatrine Indri Mutmainah Mutmainah Mutmainah Mutmainah Nahdi Saubari Nalo Valentino Naparin, Husni Nisa, Reny Ayu Nor Azizah Novita Sari Novriansyah, Irvan Nur Hafiz Ansari Nur Meilianti Maulida Nurhaeni Nurhaeni Nurhaeni Nurhaeni Nurhasanah Nurhasanah Oktavia, Samita Oktovin, Oktovin Pasaribu, Annisa Pebrianti, Eva Wulani Prasetya, M. Riko Anshori Prastya, Septyan Eka Pratama, Ramadhani Noor Putri Putri Putri Putri, Putri Rafi'i, Rafi'i Rahmini Rahmini Ramli, Muhammad Reza Risdianti, Risdianti Risma Maulida Risma Risma Rismawati Rismawati Rizkian Muhammad Fikri Rochman, Wisnu Nur Ropikah Ropikah Ropikah, Ropikah Rudy Ansari Rudy Ansari Rudy Ansari, Rudy Rusidah, Rusidah Samita, Mambang Sandro Nesta Pembriano Sari, Anggrita Sa’adah Septyan Eka Prasetya Septyan Eka Prastya Septyan Eka Prastya Siti Gadis Hardianti Subhan Panji Cipta Subhan Panji Cipta Sultan Arrasyid SUMARNI ZAINUDDIN Syapotro, Usman Tasya Salsabila Theresia Kurniati Seran Tiara, Astia Rahma Tumanggor, Agustina Hotma Uli Wahyudin, Rahmawati Winda Astria Nuansa Saputri Windarsyah Windarsyah Wulandari Febriani Wulandari Febriani Yanti Saubari Yanti Saubari Yuslena Sari, Yuslena