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All Journal Agrikultura Konselor Urania Jurnal Ilmiah Daur Bahan Bakar Nuklir Dentika Dental Journal Jurnal Bahan Alam Terbarukan Widyagogik : Jurnal Pendidikan dan Pembelajaran Sekolah Dasar Wahana Didaktika JURNAL AGROTEKNOLOGI Majalah Kulit, Karet, dan Plastik IJIBE (International Journal of Islamic Business Ethics) Eksplorium : Buletin Pusat Pengembangan Bahan Galian Nuklir Jurnal Pendidikan Usia Dini Orbith : Majalah Ilmiah Pengembangan Rekayasa dan Sosial Kopasta: Jurnal Program Studi Bimbingan Konseling JOIV : International Journal on Informatics Visualization Animal Production : Indonesian Journal of Animal Production Sumatra Journal of Disaster, Geography and Geography Education Jurnal Organisasi Dan Manajemen DIKLUS: Jurnal Pendidikan Luar Sekolah Compiler Indonesian Journal of Medicine Cakrawala Dini : Jurnal Pendidikan Anak Usia Dini JURNAL PENDIDIKAN TAMBUSAI Aulad : Journal on Early Childhood ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Golden Age: Jurnal Ilmiah Tumbuh Kembang Anak Usia Dini Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Warna : Pendidikan dan Pembelajaran Anak Usia Dini Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Teknik Informatika (JUTIF) MURHUM : JURNAL PENDIDIKAN ANAK USIA DINI Vocational : Jurnal Inovasi Pendidikan Kejuruan Abditeknika - Jurnal Pengabdian Kepada Masyarakat International Journal of Social Service and Research Jurnal Pengabdian Kepada Masyarakat ACTION : Jurnal Inovasi Penelitian Tindakan Kelas dan Sekolah Indonesian Journal of Multidisciplinary Science Society: Jurnal Pengabdian Masyarakat Jurnal Locus Penelitian dan Pengabdian Jurnal Riset Akuntansi dan Bisnis Indonesia Digital Business Tren Bisnis Masa Depan Indonesian Research Journal on Education Priviet Social Sciences Journal Jurnal Pengembangan Potensi Laboratorium Central Community Development Journal Jurnal Pendidikan Progresif Eksplorium : Buletin Pusat Pengembangan Bahan Galian Nuklir IJoCE: Indonesian Journal of Counseling and Education
Prayitno Prayitno
State Polytechnic of Malang
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Journal : joiv international journal on informatics visualization

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Optimizing the Performance of AI Model for Non-Invasive Continuous Glucose Monitoring: Hyperparameter Tuning and Random Oversampling Approach Putra, Karisma; Prasetyo Kusumo, Mahendro; Prayitno, Prayitno; Wicaksana, Darma; Arrayyan, Ahmad Zaki; Pratama, Sakca Garda; Al-Kamel, Mujib Alrahman; Chen, Hsing-Chung
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.2047

Abstract

Diabetes Mellitus (DM) as a non-communicable disease (NCD) continues to increase every year. Continuous glucose monitoring (CGM) is essential for effective DM management. However, existing disposable glucose monitoring methods still rely on invasive techniques, cause pain, and lack continuous monitoring capabilities. On the other hand, non-invasive techniques are not feasible for CGM due to the biometric data's complexity and the classification system's inadequate performance. This study aims to develop a non-invasive technology to improve the performance of a non-invasive blood glucose classification system using Artificial Intelligence (AI), specifically Convolutional Neural Network (CNN) and an oversampling technique. The oversampling technique could improve data quantity by balancing the amount of data for each class. This study recruited twenty-three participants in the age range of 20 to 22 years comprising seven females and fifteen males. During data recording sessions, blood glucose levels were simultaneously assessed using a gold-standard glucometer and a non-invasive CGM prototype. The proposed CNN model successfully improved the classification accuracy of non-invasive blood glucose monitoring significantly. With the implementation of oversampling for augmenting the data, the accuracy of the proposed model increased to more than 88%. This study concludes that non-invasive approaches combined with AI technology have the potential to provide a convenient and pain-free alternative to traditional monitoring methods, significantly improving diabetes management and enhancing the overall quality of life for those affected by this condition. These findings could revolutionize the field of diabetes management, offering a more comfortable and accurate monitoring solution that could potentially transform the lives of millions of diabetes patients.
Deep Learning Models Performance for Classifying Dried Chili Based on Digital Image Analysis Yudantoro, Tri; Prayitno, Prayitno; Rizal Isnanto, Rizal; Djaeni, Moh
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.2919

Abstract

Artificial Intelligence and agriculture have been combined to create significant advancements in smart agricultural analysis that have improved both output and quality. This approach has completely changed conventional farming operations by utilizing image processing technologies. To assess the dryness levels of red chili peppers—a crucial component of crop quality and market value—the study set out to compare the efficacy of several CNN architectures. A dataset with 600 training images and 150 testing images spread over three classes was used to evaluate four CNN models (MobileNetV2, DenseNet121, InceptionV3, NASNetMobile). With a validation accuracy of 99%, DenseNet121 outperformed MobileNetV2 (which had a validation accuracy of 97%). The findings demonstrate how deep learning models can improve sorting procedures for agriculture by increasing accuracy and productivity. A scalable, impartial, and economical way to uphold crop standards and promote industry sustainability is by incorporating CNNs into the classification of agricultural products. The results of this study represent a breakthrough in the application of deep learning to agriculture, opening the door to automated systems that guarantee constant product quality. By optimizing yield and quality through image processing technology, the findings highlight the revolutionary influence of AI in smart agriculture. To increase production and improve competitiveness in the market, future research efforts may focus on developing automated sorting systems and further enhancing CNN models for agricultural applications. The research adds to the increasing corpus of work using AI in agriculture to enhance crop management and quality control.  
Co-Authors A. Muri Yusuf A.A. Ketut Agung Cahyawan W Abdul Jami Agnes C Davinchi, Agnes C Agus Basukesti, Agus Agustin, Faadhilah AL-FAIZI, M. Al-Kamel, Mujib Alrahman Amir Syamsudin Anas Anas, Anas Anif, Anif Annisa Tsamrotul Fuadah, Puteri Any Setyaningsih, Any Ardhana, Naufal Reky Arief Rahmatulloh Arifiyanti, Nurul Arleiny, Arleiny Arrayyan, Ahmad Zaki B Subarjo, B Bambang Priyono Basuki , Budi Murtiyasa Cahya Damarjati Chairunnisa, Nabila Chen, Hsing-Chung Christiana Maria Herry Purwanti, Christiana Maria Herry Dattadewi Purwantini Dedi Andrianto Dewajani, Heny Dina Sukma Dwi Ningsih, Dwi Dwi Wahini Nurhajati, Dwi Wahini EA Rimbawanto, EA Eka Putra, Herman Estu Eka Sapti Cahyaningrum Eko Naryono Eko Prasetyo Emiliana Kasmudjiastuti, Emiliana Endro Kismolo, Endro Fadhilah, Alya Nur Fahriah, Sirli Faris Nofandi Febrianto, Firman Fikri, Dimas R. A. Fitriana Tjiptasari Fitriyani, Rizki Putri Gunawan, Lieptiono Hadi Saroso Hafni Lissa Nuri Handari, Herdianty Kusuma Hanum, Muthia Hardiyanti, Widya Dwi Hardjono Hardjono, Hardjono Haren, Hassan Ishag Hassan Hariyanto, Budi Hariyanto, Budi Hariyanto Harun Harun Heppi Sasmita Herman Nirwana Herminiwati Herminiwati, Herminiwati Hesti Hesti I Irawan, I Ibrahim, Muhammad Yasser Ifrohayati, Ifrohayati Imanto, Frenki Ismoyowati Isra, Fauzi Jaka Susila Jamaris Jamaris Jaya, Yahya Jaya, Yahya Johana A. Rombang, Johana A. Joko Pamungkas Karisma Trinanda Putra, Karisma Trinanda Karneli, Yenni Kartika, Vinda Setya Khalimatus Sa'diyah KISNO HADI KISNO HADI Kuntardjo, Samuel Beta Kuntarjo, Samuel Beta Kurnianingsih Kurnianingsih, Kurnianingsih Kusumaningtyas, Mei Lavindi, Eri Eli Lesmana, Lia Lie, Raudhatul Hasanah Luchis Rubianto3 Lusiani, Cucuk Evi M. Pancoko M. Y. Sumaryadi Mahardhika, Dimas Kembara Mahben Jalil Mardiyono Mardiyono Maria Y.M.A. Sumakud Markamah, Markamah Marliyadi Pancoko Matondang, Anas Monandar Mega Fatimah Rosana Mita Prastika, Mita Mochamad Mufti Moejiono Moh Djaeni Muflihah, Uun Muhammad Anif MUHAMMAD SHOLEH Muhibbin, Muhibbin Mukhlis, Syaiful Mukhlis, Syaiful Mukhlis Mulyani, Indah Muji Muthmainah Muthmainah Muthmainah Nariswana, Rucirasatti Netrawati, Netrawati Nono Carsono Nur Cholimah Nur Hayati Nur Khoirani, Alfina Nur Wachid Sahadi, Nur Wachid Nur Widiastuti Nurfarida Deliani Nuria, Aghna Nurseno Bayu Aji, Nurseno Bayu Prasetyo Kusumo, Mahendro Pratama, Sakca Garda Prayogo, Imam Profiyanti Hermien Suharti Puji Ediari Suryaningsih, Puji Ediari Putra, Karisma R Pratiwi, R Rahmadani, Riyan Rahmat Hidayat Rahmiati Rahmiati Rani Raharjanti Rezmelia Sari Ridantami, Vemi Rina Sofiana, Rina Rizal Isnanto, Rizal Rizqi Aini Rohmaniah, Siti Romanda Annas Amrullah Ronilaya, Ferdian Rucita Ramadhana S Zubaidah, S S.N.O. Suwandyastuti Safitri, Zulfa Samsu Wasito Santi Novani Santika Sari Santosa, Naufal Adli Santoso, Kuwat Saputri, Sisca Meidina Saputri, Sisca Meidina Sari, Siska Difita Silvester Tena siti zubaedah Slamet Handoko Sofyan karani, Sofyan Sri bandi, Sri Sri Budiasih, Sri Sri Rulianah, Sri Sri Sutyasmi, Sri Sri Waskito, Sri Sugihartono Sugihartono Suliestiyah Wiryodiningrat Sunardi Sunardi Suprapto Suprapto Sutama SUTRISNO Sutrisno, Sutrisno Syarif Maulidin T Hartati, T T Hartatik, T Thomas Tukirin, Thomas Titik Purwati Widowati, Titik Purwati Tri Raharjo Yudantoro Triyono, Liliek Utomo, Dian Purbo W Manalu Wahono Wahono Wahyu Sulistiyo Wakib Kurniawan Wicaksana, Darma Wiktasari Wiktasari, Wiktasari WT Artama, WT Yanti, Nurma Yanwari, M. Irwan Yanwari, Muhammad Irwan Yeni Karneli Yudantoro, Tri Yuliani Indrianingsih Z. Mawardi Effendi