Article Per Year (5 Year)
p-Index From 2021 - 2026
10.622
P-Index
This Author published in this journals
All Journal Tadulako Journal Sport Sciences And Physical Education Publikasi Pendidikan Students´ Journal of Economic and Management Intelektualita Monex: Journal of Accounting Research Jurnal Pengabdian UntukMu NegeRI Jurnal Basicedu JURTEKSI Jurnal Teknologi Terapan Jurnal Review Pendidikan dan Pengajaran (JRPP) EVOLUSI : Jurnal Sains dan Manajemen Jurnal Kejaora (Kesehatan Jasmani dan Olahraga) JURNAL ILMIAH OBSGIN : Jurnal Ilmiah Ilmu Kebidanan & Kandungan JURNAL MEDICAL ILKOMNIKA: Journal of Computer Science and Applied Informatics JURNAL ILMIAH FEASIBLE (JIF) Judika (Jurnal Nusantara Medika) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Ilmiah Kesehatan Rustida Indonesia Berdaya Sentra Cendekia JURNAL ABDIMAS TRIDHARMA MANAJEMEN Jurnal Computer Science and Information Technology (CoSciTech) Dynamic Management Journal Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal PKM Manajemen Bisnis Jurnal Keperawatan Bulletin of Pedagogical Research NUSRA: Jurnal Penelitian dan Ilmu Pendidikan Proceedings Series on Physical & Formal Sciences MAUIZHAH JURNAL KAJIAN KEISLAMAN Journal Of World Science Jurnal Olahraga Pendidikan Indonesia (JOPI) Informatics and Computer Engineering Journal Jurnal PRIMED:Primary Education Journal atau Jurnal Ke-SD An Jurnal Cakrawala Ilmiah Indonesian Journal of Informatic Research and Software Engineering Jurnal Basicedu Jurnal Pepadu Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Jurnal Ilmu Sosial dan Humaniora Indonesian Research Journal on Education Journal of Software Engineering and Information System (SEIS) West Science Interdisciplinary Studies Jurnal Abdimas Jatibara West Science Interdisciplinary Studies Indonesian Journal of Community Empowerment Jurnal Keperawatan Profesional Konstruktivisme : Jurnal Pendidikan dan Pembelajaran ABDIMAS Iqtishadia JI-KES (Jurnal Ilmu Kesehatan)
Sunanto Sunanto
Akuntansi Politeknik Sekayu
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities 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 Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 94 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 94 Documents
Search

 6   7   8   9   10 
Deteksi Serangan Dalam Ekosistem Iot Melalui Analisis Multi-Class Dengan Model Xgboost Dan Penerapan Teknik Imbalance Ratio Pada Dataset IoTID20 Amien, Januar Al; Sunanto, Sunanto; Rangkuti, Muhammad Al-Ikhsan; Soni, Soni
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.9861

Abstract

This research focuses on attack detection in the Internet of Things (IoT) ecosystem using the XGBoost algorithm and the Imbalance Ratio technique on the IoTID20 dataset. The main goal is to overcome the problem of data imbalance that is common in IDS datasets and improve accuracy in classifying attack types. The methodology used includes data preprocessing, feature selection, and applying the Imbalance Ratio technique to handle class imbalance in the IoTID20 dataset. Next, the XGBoost model is implemented with the scale_pos_weight parameter to handle the class imbalance problem. This model is trained on training data and evaluated using metrics such as accuracy, precision, recall, and F1-score. The research results show that the combination of the XGBoost algorithm and the Imbalance Ratio technique is able to overcome data imbalance problems effectively. The resulting model achieved an accuracy rate of 99.32%, precision 99.32%, recall 99.32%, and F1-score 99.32% in classifying attack types on the IoTID20 dataset. These results demonstrate excellent capabilities in detecting attacks and distinguishing between normal and anomalous traffic in the IoT ecosystem. This research contributes to improving IoT network security by applying an effective Machine Learning approach to accurately detect attacks, while also addressing data imbalance problems that often occur in IDS datasets.
Klasifikasi Citra Penyakit Daun Tomat Menggunakan Metode Convolutional Neural Network (CNN) Dengan Arsitektur VGG-19 Fitri Handayani; Baidarus, Baidarus; Sunanto, Sunanto; Putra, Bayu Anugerah; Anggraini, Chelina; Taufiq, Reny Medikawati
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10699

Abstract

Tomatoes, known as Solanum lycopersicum in Latin, are a type of horticultural commodity with high economic value in Indonesia.Tomato production can decrease due to leaf diseases that are hard to identify manually because the symptoms of different diseases often appear similar. The purpose of this study is to apply a deep learning-based tomato leaf disease classification system using the Convolutional Neural Network (CNN) VGG-19 architecture. The dataset was obtained from Kaggle and contains 6,600 images of tomato leaves divided into six disease classes and one healthy leaf class. The research stages include preprocessing (resizing, normalization), data augmentation, dataset division (80% training, 20% testing), model training with transfer learning, and fine-tuning for optimization. The evaluation using the confusion matrix and classification report includes accuracy, precision, recall, and F1-score. Test results show that the VGG-19 model achieved 97% accuracy on the test data, with an average precision, recall, and F1-score of 0.97. These findings show that VGG-19 effectively identifies tomato leaf diseases and could be applied in web- or mobile-based detection systems to help farmers with early diagnosis and proper treatment.
Nilai pendidikan karakter pada permainan tradisional Gobak Sodor pada mahasiswa Taiwan National Changhua University of Education Sunanto, Sunanto; Arifa, Fiftine Salma; Arfinda, Cantika Meyrisqi; Fathir, Amrul Huda
Jurnal Olahraga Pendidikan Indonesia (JOPI) Vol. 5 No. 2 (2026): Jurnal Olahraga Pendidikan Indonesia (JOPI)
Publisher : Kementerian Pemuda dan Olahraga Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54284/jopi.v5i2.385

Abstract

Nilai Pendidikan karakter permainan tradisional Gobak Sodor merupakan salah satunya untuk mempromosikan permainan tradisional Negara Indonesia tingkat internasional yang menjadi sasaranya adalah mahasiswa National Changhua University of Education Taiwan. Penelitian ini bertujuan untuk menganalisis Nilai Pendidikan Karakter Pada Permainan Tradisional Gobak Sodor Pada Mahasiswa Taiwan National Changhua University of Education. Jenis penelitian ini adalah penelitian lapangan  menggunakan metode deskriptif kualitatif. Teknik pengumpulan data menggunakan observasi, wawancara, dan dokumentasi. Analisis data menggunakan analisis data yang berupa pengumpulan data, reduksi data, penyajian data dan penarikan kesimpulan. Hasil sosialisasi dan temuan menunjukkan bahwa nilai-nilai karakter yang didapat adalah kerjasama tim, melatih fokus, komunikasi, dan berpikir kreatif serta kritis. Hal ini menunjukkan bahwa permainan tradisional gobak sodor budaya Indonesia mampu menumbuhkan nilai pendidikan karakter kerjasama tim. Simpulan menunjukkan bahwa permainan gobak sodor budaya Indonesia ini mampu menumbuhkan nilai pendidikan karakter kerjasama tim.
A Systematic Review of AIoT in Agricultural Environmental Monitoring: A Comparative Analysis of Machine Learning Approaches Kharisma, Derry Artha; Sunanto, Sunanto
ILKOMNIKA Vol 8 No 1 (2026): Volume 8, Number 1, April 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v8i1.865

Abstract

Agricultural water management increasingly deploys AIoT systems that integrate IoT sensing with machine learning, yet deployable autonomous irrigation control remains largely unrealized despite widely reported accuracy above 90%. This systematic literature review of 25 peer-reviewed studies (2020–2026), conducted across five databases following PRISMA 2020 guidelines, diagnoses why predictive performance fails to translate into operational autonomy. The analysis identifies six interdependent structural gaps: open-loop prediction architectures, informationally narrow sensing, correlated co-sensor packaging, static non-adaptive models, accuracy–deployability decoupling, and metric inconsistency. These gaps form a dependency chain across data, inference, and actuation layers in which closed-loop integration depends on resolving data adequacy. A parallel finding reveals systematic methodological divergence between national and international research contexts, driven by infrastructure and deployment constraints rather than research quality, with reinforcement learning, hybrid multi-modal architectures, and continual learning largely absent in national studies. This study contributes a reframing of AIoT system maturity by demonstrating that within-study accuracy is misaligned with operational validity. It further establishes environmental generalizability as a more appropriate evaluation criterion, shows that the six structural gaps form a sequential dependency structure that prevents single-gap solutions from producing deployable improvement, and provides directional evidence that reported accuracy and validation scope are inversely related across the corpus, suggesting that current performance claims systematically overstate operational readiness.
Co-Authors Afib Rulyansah Afkar, Muh Tanwirul Ahmad MAULANA Ahmad Nouvel - AMIK BSI Purwokerto Ahmad Nouvel - AMIK BSI Purwokerto Ahmad Taufik Ainia, Faridah Zahrotul Akhwani Akhwani, Akhwani Al Amien, Januar Alawiyah, Saudatul Albertus Sewianto Alfiyah, Inayah Alfiyah, Zuraida Nisaul Almaniar, Siska Amran, Hasanatul Fu'adah Andini Hardiningrum Anggraini, Chelina Anggraini, Mirna Anshori, Maz Isa Aprilian, Pingkan Aprini, Hidayah Arabiatul Adawiyah, Arabiatul Arfinda, Cantika Meyrisqi Arianti, Dini Arif Rahman Hakim Arifa, Fiftine Salma Asep Sulaeman, Asep Asmarani, Ratih Asmaul Lutfauziah Asrianto, Rudy Ayu Pramesti, Diah Azizah, Nuryana Elia Baidarus Bambang Priyanto, Bambang Bayu Anugerah Putra BERDA ASMARA Capriat, Zelin Ferdias Decky Aditya Zulkarnaen Dede Kusmana Dedi Setiawan Deprizon, Deprizon Dewi Ningsih, Dewi Dewi, Anis Kusuma Dhian Pratiwi, Novita Djazilan, M. Sukron Djazilan, Syukron Dukiyah, Dukiyah Edi Ismanto Eka Wardani, Aris Farisha Andi Baso Fathir, Amrul Huda Faural Abadi Ferry Sugara, Ferry Firdaus, Dian Nita Fitri Handayani Gusmaniarti, Gusmaniarti Hady, Hamdy Haikal, Zikrul Handayani , Erna Handayani, Erna hanifah, iis Harun Mukhtar Hasibuan, Rahmawaty Hidayati, Tutik Huda, Muchamad Samsul Huda, Muchamad Samsul Huda, Samasul Ilham Hudi Aim Abdulkarim Kokom Komalasari, Ilham Hudi Aim Abdulkarim Izzatunnisa, Nazwa Karsid, Karsid Kasiyun, Suharmono Kharisma, Derry Artha Khasanah, Uswatul Kumalasari, Shofi Eka Kusyairi, Achmad Laily Indrayanti Yusuf Laily, Izzatul Leisthari, Fepi Lestari, Novianti Kamla Lestari, Noviyanti Kartika Dwi Lisman, Muhammad maharani, krisnina Mahmudah, Faridatun Nurul Manoefris Kasim Mariani Mariani Mariati, Pance Maryani, Ina Mashuri Mashuri Mauludiya, Melynda Mikrad mikrad Mispani, Mispani Mohamad, Mohd Saberi Moyo, Kgomotso Muarif, Putri Fadhilla Muhamad Sardiman Muhammad Nur, Hidayat Muhammad Thamrin Muhammad Thamrin Hidayat Mukti, Fiqhri Nugroho Mulya, Yusha Tri Musarofah, Musarofah MUSLIMIN IBRAHIM Mustofa Mustofa Nafi'ah, Nafi'ah Nafiah, Nafiah Nafolion Nur Rahmat, Nafolion Nur Najih, Arjun Nandana, Pandu Ishaq Napitupulu, Rizal Afif A. Nashirin, Rohmatun Ng Phi Shi Nur Hamim Nurfita, Roro Nurhaini, Siti Nurismalatri, Nurismalatri Nurmin Arianto Nusantara, Ana Fitria Nuzul Imam Fadlilah Praptiningtiyas, Ariska Puji, Ari Andriyas Purnaning, Dyah Purwanto, Hadi Purwati Purwati Puspitarini, Renny Candradewi Putri, Novitya Arnika Rafdi, Faris Abi Rahayu, Dewi Widiana Rahmad Firdaus Ramawal, Jon Rangkuti, Muhammad Al-Ikhsan Remli, Muhammad Akmal Ridhollah, Farhan Rofan Aziz Rohadi Rohadi Rohmah, Sonia Jasmine Rohmah, Syifaur Rusdiyanto, Nurholis Rusnaeni, Nani Safariningsih, Ratna Tri Hari Saifudin Saifudin Saifudin Salsabiila, Iffah Sari, Galuh Mayang Sari, Maftuhatul Ulumiyah Kumalasari Sarra, Hustna Dara Shabrina, Nina Sholihah, Nasihatus Siti Aisyah Soni Sri Hartatik Suciati Suciati Suharmanto, Ardelia Suryadi Imran, Suryadi Susanto, Rudi Umar Syahril Syahril Syamsul Ghufron Taufiq, Reny Medikawati Tika Handayani Tutik Ekasari Vadlya, Vadlya Maarif Valia, Virna Githa Veriady Purba, Jan Horas Wahyu Nur Chalamsa Wahyusari, Shinta Wan Salihin Wong, Khairul Nizar Syazwan Wardika, Wardika Wicaksono, Dedi Yogasnumurti, Raras Risia Yuly Peristiowati Zahra, Fira May Zahro, Ma’rifatul Lailatus Zuhan, Arif