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All Journal 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) 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 National Multidisciplinary Sciences Jurnal Aplikasi Sistem Informasi dan Elektronika Journal of Information Systems Management and Digital Business ABDIMASTEK JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Teknologi : Jurnal Ilmiah Sistem Informasi

Agung Nilogiri

Universitas Muhammadiyah Jember

Author-ID : 4307449

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology 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 Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Public Health Social Sciences

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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.

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 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 Ginanjar Sasmito Adi Ilahiyah, Sarirotul Kholili, Badril Munir Kiki Diah Ayu Puspita Lusiana, Dewi Moh. Dasuki Mokh Hairul Bahri Muhammad Derryl Qinanda Nadila Nadila Nanang Saiful Rizal Nely Ana Mufarida 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 Setyawan, Wahyu Dwi Sofia Ariyani Susanto, Luban Abdi Taufiq Timur Umilasari, Reni Wahyu Dwi Setyawan Wiwik Suharso Yanuarti, Rosita YAP, Ferdianto Zakiyyah, Amalina Maryam

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