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All Journal Jurnal Keteknikan Pertanian Tropis dan Biosistem INFORMAL: Informatics Journal Jurnal Teknik Sipil Martabe : Jurnal Pengabdian Kepada Masyarakat EDUMATIC: Jurnal Pendidikan Informatika JSAI (Journal Scientific and Applied Informatics) JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Pengabdian Masyarakat IPTEKS JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) JTIK (Jurnal Teknik Informatika Kaputama) BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Rekayasa Infrastruktur Hexagon JIWAKERTA: Jurnal Ilmiah Wawasan Kuliah Kerja Nyata International Journal of Regional Innovation Smart Techno (Smart Technology, Informatic and Technopreneurship) Jurnal Indonesia Sosial Teknologi SATUKATA: Jurnal Sains, Teknik, dan Studi Kemasyarakatan Bulletin of Network Engineer and Informatics (BUFNETS) National Multidisciplinary Sciences Jurnal Aplikasi Sistem Informasi dan Elektronika Journal of Information Systems Management and Digital Business Journal Of Humanities Community Empowerment ABDIMASTEK JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Teknologi : Jurnal Ilmiah Sistem Informasi Jurnal Pengabdian Masyarakat IPTEKS

Agung Nilogiri

Universitas Muhammadiyah Jember

Author-ID : 4307449

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Veterinary Other

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SISTEM PAKAR DIAGNOSA PENYAKIT ANEMIA MENGGUNAKAN METODE CERTAINTY FACTOR DAN FORWARD CHAINING BERBASIS ANDROID Denny Soggy Rachmad, Isnanda; Nilogiri, Agung; Yanuarti, Rosita
SATUKATA: Jurnal Sains, Teknik, dan Studi Kemasyarakatan Vol. 1 No. 2 (2023): April
Publisher : Lafadz Jaya Publisher

Anemia is a disease related to the level of hemoglobin which is called red blood cells and causes a decrease in the level of oxygen that the body absorbs. Anemia is a disease that often occurs and occurs quite a lot in society. This study aims to determine the accuracy value of the certainty factor and forward chaining methods in an expert system for diagnosing anemia. This study designed an expert system by combining two methods, namely certainty factor and Android-based forward chaining. The use of the forward chaining method can make the system perform reasoning like an expert, then combine it with the certainty factor method with the aim that the system to be designed can measure the level of certainty of disease diagnosis. The results of this study are tests that have been carried out using 15 test data samples and produce a system accuracy value of 93.33%. Design using the certainty factor and forward chaining methods can work on expert systems in diagnosing anemia and shows the meaning that this system is feasible to use and is able to apply knowledge from experts to be able to diagnose anemia with a fairly accurate level.

Clustering of Paddy Harvest Productivity in Each Village of Jember Regency Using K-Means Clustering and Davies Bouldin Index Astika, Hestina Restu; Nilogiri, Agung; A’yun, Qurrota
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 8 No. 1 (2026)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v8i1.160

Paddy (Oryza sativa L.) is a cultivated crop that serves as the staple food source for the majority of the Indonesian population. East Java Province is one of the largest paddy-producing provinces in Indonesia. Jember Regency, as one of the paddy production centers in East Java, has a relatively high production level each year. However, there is currently no system available that clusters paddy data at the village level in the form of map-based visualization. This study aims to cluster the paddy harvest productivity of each village in Jember Regency based on the variables of planted area, harvested area, and paddy production for the years 2022 and 2023 using the K-Means Clustering algorithm and the Davies Bouldin Index (DBI). The data used in this study were obtained from the official publications of the Jember Regency Bureau of Statistics, covering a total of 248 villages. The clustering process was carried out by testing the number of clusters (k) from 2 to 10, which were then evaluated using DBI to determine the optimal number of clusters. The results show that the optimal number of clusters is 3, with a DBI value of 0.6053. This DBI value indicates that the quality of clustering of planted area, harvested area, and paddy production is considered good. The clustering results consist of 40 villages in Cluster 1, 105 villages in Cluster 2, and 103 villages in Cluster 3. The clustering results were implemented into a web- based Geographic Information System using the Flask Python framework and the Leaflet library to display an interactive map in GeoJSON format. This study is expected to provide benefits for the Jember Regency Bureau of Statistics, the community, and farmers in storing, managing, and providing information related to paddy production in Jember Regency.

Pengelompokan Hasil Evaluasi Pembelajaran Metode Hafalan Al Qur’an Tawazun Menggunakan Metode K-Means Ajeng Khalili Rahmatiningsih; Agung Nilogiri; Ari Eko Wardoyo
Jurnal Indonesia Sosial Teknologi Vol. 3 No. 08 (2022): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

The method of memorizing the Qur'an Tawazun is a method that maximizes the use of the right brain and left brain, allowing a person to memorize, understand, and believe. Each category has several assessment points as a benchmark for the ability of students, which are used to overcome the level of failure of students in each category of learning the method of memorizing the Qur'an tawazun. The results of the evaluation of the learning of the tahfidz Islamic boarding school Daarul Huffadz Indonesia in 2020 were felt to be less than optimal, because the learning process was carried out simultaneously. This can be seen from the difference in scores that are quite different in each category of assessment. Based on the previous problem, it is necessary to group the results of the evaluation of learning the Qur'an memorization method. The goal is that every student gets maximum treatment and provides convenience for the institution, as well as teaching staff to carry out learning. The purpose of this study is to determine the optimum number of clusters as well as members of each cluster by measuring cluster performance using the Davies Bouldin Index (DBI) method and implementing the K-Means algorithm. The K-Means algorithm is a non-hierarchical data clustering method that is able to group large amounts of data, relatively quickly, and efficiently. This study uses 401 observational data and 12 attributes. From the calculation results, the optimal number of clusters lies in 2 clusters, with a Davies-Bouldin Index (DBI) value of 1.439. There are 26 members of cluster 1, and 375 members of cluster 2.

PENINGKATAN KAPABILITAS MASYARAKAT DALAM PENANGGULANGAN BENCANA BERBASIS TEKNOLOGI MELALUI PELATIHAN BANTUAN HIDUP DASAR Sri Adriani; Agung Nilogiri; Ginanjar Sasmito Adi; Nadila Nadila; Ananda Alia Febriani
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 6, No 5 (2023): martabe : jurnal pengabdian kepada masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v6i5.1689-1695

Penanggulangan bencana merupakan kegiatan yang sangat penting dilakukan pada saat pra bencana, fase tanggap darurat bencana, maupun pasca bencana. Dengan demikian maka kemampuan masyarakat dalam menanggulangi bencana perlu ditingkatkan. Tujuan kegiatan pengabdian kepada masyarakat ini adalah meningkatkan kemampuan masyarakat dalam memberikan Bantuan Hidup Dasar (BHD) sebagai salah satu kompetensi yang penting dalam penanggulangan bencana. Metode yang dilakukan yaitu melalui Focus Group Discussion (FGD) dengan Pemuda Desa Tanggung Bencana (DESTANA), kader kesehatan, para tokoh masyarakat yang diwakili oleh ketua RW dan ketua RT. Setelah kegiatan FGD, metode selanjutnya yaitu edukasi dan simulasi BHD untuk masyarakat awam. Hasil diketahui daerah rawan bencana melalui peta rawan bencana di wilayah desa suci yakni Glengseran, Gaplek, dan Glundengan. Pengetahuan masyarakat tentang BHD meningkat lebih baik setelah edukasi. Keterampilan memberikan BHD juga meningkat setelah simulasi. Masyarakat memiliki keterampilan BHD yang lebih baik. Pengetahuan dan keterampilan memberikan BHD sangat penting bagi masyarakat. Semakin banyak masyarakat yang terampil memberikan BHD maka kesempatan korban untuk hidup semakin baik.

Inovasi Produk Olahan Makanan Berbahan Daun Kelor Untuk Meningkatkan Nilai Ekonomi Dan Pencegahan Stunting Di Lingkungan Pimpinan Ranting Aisyiyah Pagah (PRA PAGAH) Jember Dewi Lusiana Pater; Aji Brahma Nugroho; Agung Nilogiri; Muhtar Muhtar; Satrio Bakti
Jurnal Pengabdian Masyarakat IPTEKS Vol. 11 No. 1 (2025): PENGABDIAN MASYARAKAT IPTEKS
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jpmi.v11i1.3835

Daun kelor (Moringa oleifera) memiliki kandungan gizi tinggi yang bermanfaat untuk kesehatan, terutama dalam pencegahan stunting. Namun, pemanfaatannya dalam pola konsumsi masyarakat masih terbatas, sehingga diperlukan inovasi dalam pengolahan agar lebih bervariasi dan diterima luas. Program pengabdian masyarakat ini bertujuan untuk meningkatkan nilai ekonomi dan diversifikasi pangan berbasis daun kelor melalui inovasi produk olahan, seperti puding, bolu kukus, dan nugget. Metode yang digunakan dalam program ini mencakup tiga tahap utama. Pertama, edukasi kepada masyarakat mengenai manfaat gizi daun kelor guna meningkatkan kesadaran akan pentingnya konsumsi makanan bergizi. Kedua, pelatihan pembuatan produk inovatif berbasis daun kelor dengan teknik pengolahan yang mempertahankan kandungan nutrisinya. Ketiga, pemberian pelatihan kewirausahaan yang meliputi teknik pengemasan menarik, strategi pemasaran online, serta pengelolaan usaha kecil berbasis produk daun kelor. Hasil dari kegiatan ini menunjukkan bahwa masyarakat memiliki pemahaman yang lebih baik mengenai manfaat daun kelor dan mampu mengolahnya menjadi produk yang lebih variatif. Selain itu, peserta juga memiliki keterampilan dalam menjual dan memasarkan produk secara lebih efektif. Dengan demikian, program ini tidak hanya berkontribusi pada peningkatan pola konsumsi gizi masyarakat, tetapi juga mendukung pengembangan ekonomi kreatif berbasis kearifan lokal yang berkelanjutan. Melalui kegiatan ini, diharapkan masyarakat dapat lebih kreatif dalam mengolah daun kelor, meningkatkan konsumsi pangan bergizi, serta menciptakan peluang ekonomi baru bagi mitra yang berbasis kearifan lokal. Program ini juga mendukung pengembangan industri ekonomi kreatif desa yang berkelanjutan dan berkontribusi terhadap peningkatan kesejahteraan masyarakat.

Eco Print Training to Increase the Income of Women Leaders of the Pagah Branch of ‘Aisyiyah Through Hijab, Pashmina, Tablecloth, and Bag Products dewilusiana pater; aji brahma Nugroho; muhtar; agung nilogiri
Journal Of Humanities Community Empowerment Vol. 4 No. 1 (2026): Journal of Humanities Community Empowerment
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jhce.v4i1.5324

Eco Print Training is a community service program motivated to improve women's economic independence through productive activities based on local potential. Urgency of this program stems from women's limited access to marketable creative skills and opportunities for low-capital businesses with high market prospects. Eco print was chosen because it is environmentally friendly, easily found natural materials, and produces aesthetic products that increasing demand in the fashion and home decoration sectors. Objectives of this activity are to improve the technical skills in producing quality eco print products, strengthen their entrepreneurial skills, and open up opportunities increase family income. Program aims to encourage the growth of entrepreneurship based on the environment and local potential. The implementation method includes practice-based training covering an introduction to the concept of eco-printing, techniques for selecting leaves and flowers, the mordanting process, motif composition, steaming techniques, and the finishing stages to create a sale-ready product. Participants also receive entrepreneurial assistance, including training in branding, packaging, digital marketing strategies, and sales simulations. The targeted outcomes of the activity include eco-print products (hijabs, pashminas, tablecloths, chair cushions, and bags), eco-print training modules, activity videos, improved participant skills, increased income, published scientific articles, and online media coverage of the activity

Classification of Papaya Leaf Disease Using Ensemble Learning Bachtiar Danuarta; Agung Nilogiri; Habibatul Azizah Al Faruq
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/asexz453

Papaya leaf diseases, such as Papaya Ringspot Virus and Begomovirus, have a significant impact on papaya production and quality. Manual identification is often ineffective due to the visual similarity of symptoms. This study proposes a system for classifying papaya leaf diseases using a Convolutional Neural Network (CNN) with an ensemble learning method that aims to improve accuracy and provide accurate and stable predictions on new data that has not been seen during training. Three CNN architectures, namely VGG16, ResNet-34, and MobileNetV2, were trained individually with hyperparameter optimization using grid search. After training the individual models, the three models were combined (ensemble) using the soft voting method. The results showed that the best individual model was MobileNetV2, achieving 98% on all accuracy, precision, recall, and f1-score metrics, but the model with the most optimal performance was achieved by the ensemble model. The ensemble model achieved 99% accuracy, 98% precision, 99% recall, and 99% f1-score, these results demonstrate a significant improvement over the three individual trained models and outperform the ResNet-152v2 architecture reported in previous research

Pendampingan Pengelolaan Donasi Masjid Al-Qolam Berbasis IoT Melalui Pengembangan Kotak Amal Digital Agung Nilogiri; Rosita Yanuarti; Habibatul Azizah Al Faruq
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 3 (2026)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v7i3.18121

Pengelolaan donasi masjid memerlukan sistem yang transparan, akuntabel, dan efisien guna meningkatkan kepercayaan jamaah serta mendukung optimalisasi pemanfaatan dana. Masjid Al-Qolam Universitas Muhammadiyah Jember saat ini masih menggunakan kotak amal fisik dan kanal donasi digital, namun pencatatan keduanya belum terintegrasi dan masih dilakukan secara manual. Kondisi ini berpotensi menimbulkan keterlambatan pelaporan, kesalahan pencatatan, serta keterbatasan dalam penyajian informasi keuangan secara real-time. Program Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan akuntabilitas pengelolaan donasi melalui penerapan kotak amal digital berbasis Internet of Things (IoT) serta pendampingan penggunaan sistem pencatatan terintegrasi. Metode pelaksanaan meliputi analisis kebutuhan, instalasi perangkat, integrasi sistem dashboard, pelatihan kepada pengurus, serta monitoring dan evaluasi tingkat adopsi teknologi. Hasil kegiatan menunjukkan bahwa sistem kotak amal digital mampu mencatat donasi tunai secara otomatis dan menampilkan data pada dashboard secara real-time. Selain itu, pengurus masjid telah mampu mengoperasikan sistem secara mandiri setelah dilakukan pendampingan. Program ini memberikan kontribusi dalam meningkatkan transparansi, efisiensi, dan akuntabilitas pengelolaan donasi masjid. Kegiatan ini diharapkan dapat menjadi model inovasi pengelolaan donasi berbasis teknologi yang dapat direplikasi pada masjid atau lembaga filantropi lainnya

Repurposing a Consumer Set-Top Box as a Low-Cost Edge Server for On-Device ODE-Based Growth Modeling of Hydroponic Fodder Handayani, Luluk; Nilogiri, Agung; Nurwahyudin, Rais
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 14 No. 2 (2026): August 2026
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Conventional hydroponic fodder production relies on manual, non-predictive monitoring, complicating feed planning. This study presents a low-cost edge-computing platform for hydroponic fodder built on a repurposed Linux set-top box (STB), integrated with an environment-driven growth model through a Hardware-in-the-Loop (HIL) scheme. The STB edge node hosts the MQTT broker, time-series database, and monitoring dashboard, while temperature and light are acquired in real time by SHT30 and BH1750 sensors via an ESP32. No physical load cell is used; biomass is therefore simulated by a logistic ordinary differential equation (ODE) with temperature-dependent rate r(T) and light-dependent carrying capacity K(L), driven by real environmental data recorded over a single 10-day cultivation cycle (20-29 June 2026, with interpolated gaps flagged). The model is calibrated to two empirical anchor points (1 kg at day 0, 13 kg reference at day 10); this agreement is reported as a calibration/consistency check rather than out-of-sample predictive validation. Sensitivity analysis shows the endpoint is dominated by carrying capacity (S = 0.96), and a fourth-order Runge-Kutta solver deviates only 0.007 kg from a reference integrator. Crucially, the complete model is executed on the STB itself using only the Python standard library: a full 10-day simulation completes in 46.6 ms (43.7 microseconds per RK4 step) within 15 MB of RAM at a stable 50 C, demonstrating that the edge node alone suffices without cloud computation.

Co-Authors A'yun, Qurrota Adi Sulistyono Aditya Surya Manggala Adriani, Sri Wahyuni Ajeng Khalili Rahmatiningsih Aji Brahma Nugroho aji brahma nugroho, aji brahma Al Faruq, Habibatul Azizah Almie, Amada Uzlyva Ananda Alia Febriani Andre Eko Cahyo Andyna Maharani, Cinta Naswa Ari Eko Wardoyo Ari Eko Wardoyo Arifianto, Deni Aryanto, Risqi Pradana Astika, Hestina Restu A’yun, Qurrota Bachtiar Danuarta Cetta Ugama Putra Chatarina Umbul Wahyuni Daryanto Daryanto Deco, Vigit Tri Dedi Setiawan Denny Soggy Rachmad, Isnanda Dewi Lusiana Dewi Lusiana Dewi Lusiana Pater Dewi, Dewi Lusiana Pater dewilusiana pater Ginanjar Sasmito Adi Ilahiyah, Sarirotul Kholili, Badril Munir Kiki Diah Ayu Puspita Lusiana, Dewi Moh. Dasuki Mokh Hairul Bahri Muhammad Derryl Qinanda muhtar Muhtar Muhtar Nadila Nadila Nanang Saiful Rizal Nely Ana Mufarida Nurwahyudin, Rais Oktavianto, Hardian Pangestu, Dwi Saka Prianggi, Devi Putri Putra Siregar, Muhammad Abrar Putri, Della Hartika Qurrota A’yun Ramadhani, Laila Amanda Risqi Pradana Aryanto Rivangga, Satya Sari, Wina Ayunda Sarirotul Ilahiyah Satrio Bakti Setyawan, Wahyu Dwi Sofia Ariyani Sri Adriani Susanto, Luban Abdi Taufiq Timur Umilasari, Reni Wahyu Dwi Setyawan Wiwik Suharso Yanuarti, Rosita YAP, Ferdianto Zakiyyah, Amalina Maryam

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