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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics Angkasa: Jurnal Ilmiah Bidang Teknologi Cakrawala: Jurnal Litbang Kebijakan Jurnal Ilmiah Fillia Cendekia Jurnal Teknologi Informasi dan Terapan (J-TIT) Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Aksiologi : Jurnal Pendidikan dan Ilmu Sosial Journal of Community Development Jurnal Medika: Medika International Journal of Technology, Food and Agriculture
Hendra Yufit Riskiawan
Politeknik Negeri Jember
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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PROSPEK EKONOMI KEBIJAKAN PEMANFAATAN PRODUKTIVITAS LAHAN TIDUR UNTUK PENGEMBANGAN PORANG DAN JAMUR TIRAM DI JAWA TIMUR Wahyono, Agung; Arifianto, Aji Seto; Wahyono, Nanang Dwi; Riskiawan, Hendra Yufit
Cakrawala Vol. 11 No. 2: Desember 2017
Publisher : Badan Riset dan Inovasi Daerah Provinsi Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32781/cakrawala.v11i2.17

Abstract

Upaya peningkatan produksi pertanian melalui ekstensifikasi pertanian bisa dilakukan melalui pemanfaatan lahan tidur. Meskipun secara umum potensi lahan tidur cukup besar, sampai saat ini belum ada informasi akurat mengenai potensi lahan tidur yang ada di kabupaten Ngawi, Madiun dan Nganjuk. Tujuan penelitian adalah untuk: 1) Mengidentifikasi potensi lahan tidur di Kabupaten Ngawi, Madiun, dan Nganjuk untuk budidaya Porang dan Jamur Tiram, 2) Menganalisis usaha tani dan nilai tambah budidaya Porang dan Jamur Tiram, dan 3) Menentukan model pengusahaan dan strategi pengembangan budidaya Porang dan Jamur Tiram pada lahan tidur di lokasi penelitian. Berdasarkan hasil penelitian dapat disimpulkan bahwa: 1) Area lahan tidur di Kabupaten Madiun dan Nganjuk sangat sesuai untuk budidaya Porang dan Jamur Tiram. Sedangkan di Kabupaten Ngawi perlu pemilihan lokasi yang cermat khususnya untuk budidaya porang, 2) Usaha tani Porang dan Jamur tiram sangat menguntungkan secara ekonomi. Nilai tambah akan semakin tinggi dengan melakukan pengolahan Porang dan Jamur Tiram menjadi berbagai jenis produk olahan, 3) Strategi untuk pengembangan budidaya Porang dan Jamur Tiram dapat dilakukan dengan mempertimbangkan aspek budidaya, pascapanen, permodalan, dan pemasaran.
Model Intervensi Tiga Pilar Sebagai Upaya Menurunkan Prevalensi Stunting di Tanggul Kulon Aji Seto Arifianto; Aqshal Nur Ikhsan; Syahmi Naufal Saputra; Nandita Putri Hanifa Jannah; Muhammad Rayasya Dziqi Cahyana; Rusdiarti Rusdiarti; Stephani Nesya Renamastika; Hendra Yufit Riskiawan; Syamsul Arifin; Ely Mulyadi
Jurnal Medika: Medika Vol. 5 No. 1 (2026)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/n6txa130

Abstract

Stunting in Tanggul Kulon Village, Jember, is a critical issue that negatively affects children’s health and cognitive development. Survey and interview results indicate that 2.71% of toddlers are identified as stunted. This condition is influenced by several factors, including limited knowledge about the importance of exclusive breastfeeding as a preventive measure, the lack of easy-to-use, automatic, and accurate anthropometric monitoring tools, and the need for alternative complementary foods that can address nutritional deficiencies in toddlers. This community service program implements a holistic three-pillar intervention. The methods used include: (1) Educational Intervention, through counseling on the importance of exclusive breastfeeding; (2) Technological Intervention, through the development and implementation of an Internet of Things-based anthropometric measurement device integrated with a mobile application for real-time monitoring; and (3) Nutritional Intervention, through hands-on training in producing healthy and nutritious cookies, which have undergone laboratory proximate analysis as supplementary food for toddlers.The results show that the implementation of the IoT system and the cookie-making training was successful, accompanied by capacity building for 18 Posyandu cadres and nutrition education for 90 families. These efforts provided direct benefits to around 200 toddlers and their parents, who now have access to more accurate growth monitoring. The interventions contributed to a reduction in stunting cases during the program, achieving a decrease of 29.63%. In conclusion, the integrated synergy between nutrition education, technological innovation, and food-based interventions has produced a comprehensive, measurable, and sustainable stunting-reduction model that can serve as a replicable reference for addressing similar issues in other communities
Performance Comparison of CNN Transfer Learning Models for Coffee Bean Quality Classification Nur Muhammad Fadli; Prawidya Destarianto; Hendra Yufit Riskiawan; Bekti Maryuni Susanto; Satrio Adi Priyambada; Wawan Hendriawan Nur; Mukhamad Angga Gumilang
Jurnal Teknologi Informasi dan Terapan Vol 12 No 2 (2025): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v12i2.457

Abstract

According to SNI Standard No. 01-2907-2008, accurate sorting of coffee beans is crucial for improving export value. Manual sorting is time-consuming, subjective, and error-prone, especially when visual differences are subtle between roast levels. This study proposes and evaluates an automatic, machine-learning based system to support quality assurance in coffee production. We compare three transfer-learning CNN architectures: Xception, MobileNetV2, and EfficientNet-B1 on a publicly available dataset of 1,600 coffee bean images divided into four classes (dark, medium, light, green). All models were trained with the same preprocessing and hyperparameter settings. EfficientNet-B1 achieved the highest test accuracy (100%), followed by Xception (99.5%) and MobileNetV2 (97%). We discuss trade-offs between accuracy and computational efficiency and recommend EfficientNet-B1 for high-accuracy applications and MobileNetV2 for edge/mobile deployment.
An End-to-End Machine Learning Pipeline for Online Purchase Intention Prediction Using Random Forest and MLOps Practices Setiawan, Akas Bagus; Riskiawan, Hendra Yufit; Putranto, Hermawan Arief; Rizaldi, Taufiq; Atmoko, Rachmad Andri
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 1 (2026): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i1.3841

Abstract

Predicting online shoppers' purchase intention is a key issue in e-commerce because it directly affects conversion and marketing effectiveness. The main focus of this article is a Random Forest purchase-intention model accompanied by an end-to-end MLOps implementation to ensure production readiness. The dataset used is Online Shoppers Intention with 12,330 samples and 18 features representing administrative, informational, and product-related characteristics, along with behavioral metrics. Preprocessing includes missing-value imputation, numerical feature standardization, categorical feature encoding, and outlier removal using the z-score method. The model is optimized with GridSearchCV and 3-fold cross-validation. Test results show 91.38% accuracy with 73.60% precision, 56.64% recall, and 64.02% F1-score for the positive class. MLOps implementation uses MLflow for experiment tracking, Prometheus-Grafana for monitoring, and a GitHub Actions-based CI/CD pipeline for deployment automation. Overall, the Random Forest model delivers strong predictive performance on e-commerce data and is supported by an MLOps pipeline that improves reproducibility, deployment, and production monitoring
Co-Authors Agustianto, Khafidurrohman Aji Seto Arifianto Aji Seto Arifianto Akhdiar, Fikri Andriani, Mira Aqshal Nur Ikhsan Awaludin, Aan Bekti Maryuni Susanto Beni Widiawan, Beni Budi Hariono Dedy Teguh Pribadi Denny Trias Utomo, Denny Trias Dwi Putro S. Setyohadi Dwi Putro Sarwo Setyohadi Dwi Putro Sarwo Setyohadi, Dwi Putro Sarwo Ely Mulyadi Firgianto, Refa Firmansyah, Muhammad Hafidh Hakim, Thoriq Lukman Kurnianto, Mokhamad Fatoni Leksono, Tri Lia Chairina, Raden Roro maya weka santi, maya weka MUHAMAD, NUR Muhammad Rayasya Dziqi Cahyana Mukhamad Angga Gumilang Nandita Putri Hanifa Jannah Nur Muhammad Fadli Nurkholis Nurkholis Oktafa, Huda Pertami, Rindha Rentina Darah Pratita, Dian Galuh Prawidya Destarianto Putra, Danag Eka Putra, Dhanang Eka Putranto, Hermawan Arief Rachmad Andri Atmoko, Rachmad Andri Rachmanita, Risse Entikaria Ratih Ayuninghemi, Ratih Refa Firgiyanto Rusdiarti Rusdiarti Satrio Adi Priyambada Setiawan, Akas Bagus Setyohadi, Dwi Putro S. Stephani Nesya Renamastika Syahmi Naufal Saputra Syamsul Arifin Syamsul Arifin Taufiq Rizaldi Taufiq Rizaldi Theo Mahiseta Syahniar Tri Leksono Wahyono, Agung Wahyono, Nanang Dwi Wawan Hendriawan Nur