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All Journal Jurnal Media Infotama TRANSISTOR Elektro dan Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Prosiding Seminar Nasional Darmajaya Jurnal Teknik Informatika UNIKA Santo Thomas JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH JSAI (Journal Scientific and Applied Informatics) Abdihaz: Jurnal Ilmiah Pengabdian pada Masyarakat Budimas : Jurnal Pengabdian Masyarakat JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Komputer, Informasi dan Teknologi Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Indonesia Raya Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science JIPkM Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat SATIN - Sains dan Teknologi Informasi Jurnal Komputer Indonesia Jurnal Semarak Mengabdi Jurnal Inovasi Kerja Nyata (JIKN)
Lena Elfianty
Universitas Dehasen Bengkulu
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Journal : Jurnal Media Infotama

 1 
Implementasi Metode Certanty Factor Untuk Diagnosa Penyakit Tanaman Tebu Hijau Pada PT. Perkebunan Nusantara VII Kubroh, Darojatul; Elfianty, Lena; Fredricka, Jhoanne
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6566

Abstract

This research aims to create an expert system application in diagnose green sugarcane plant diseases using the certainty factor method. Green sugar cane is one of the plantation crop commodities in Indonesia. However, cultivating green sugar cane does not escape various problems related to diseases that are likely to attack green sugar cane plants. If green sugar cane plants are attacked by disease, the yield and quality of green sugar cane will decrease which will then cause significant losses for green sugar cane farmers and green sugar plantation owners. If it is not immediately addressed, it will spread widely and worsen over time. The MySQL database can accommodate information and data from patients who consult with an expert system which can make it easy for patients to consult about green sugarcane plant diseases. The resulting expert system can make it easy for users to diagnose green sugarcane plant diseases online.
Clustering Data Siswa Menggunakan Metode K-Means Untuk Mengetahui Tingkat Prestasi Akademik Di SMK Negeri 2 Kota Bengkulu Evandi, Rahmad; Sapri, Sapri; Elfianty, Lena
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9601

Abstract

SMK Negeri 2 of Bengkulu City is one of the State Vocational High Schools in Bengkulu City that continues to strive to improve the quality of its students' academic evaluation. So far, the assessment of student academic achievement still refers to the average value. The school sometimes has difficulty in seeing student development and providing appropriate student motivation based on the results of the level of student academic achievement that has been obtained. Clustering student data using the K-Means Method in determining the level of academic achievement at SMK Negeri 2 of Bengkulu City can provide information on the level of student academic achievement in each subject which is divided into 3 groups, namely high, medium and low levels of academic achievement and can help teachers monitor student academic development, identify student learning patterns, and provide appropriate interventions according to the needs of each group. In order to facilitate the process of clustering student data to determine the level of academic achievement using the k-means method, a desktop-based application was built using the Visual Basic .Net programming language. In addition, this application also contains graphic visuals of the grouping results as output from the application. Based on the test data used, on the grade X Indonesian Language subject data for the Even Semester of the 2022/2023 Academic Year of the Mechanical Engineering Expertise Program of 23 students, the results showed that the high level of academic achievement (Cluster C1) was 7 students, the moderate level of academic achievement (Cluster C2) was 9 students, and the low level of academic achievement (Cluster C3) was 7 students
Co-Authors Aan Herwansah Abdussalam Al Akbar Adriansa, Mezi Alfarisy, Ahmad Arib Alinse, Rizka Tri Andika, Ryndry Annisa Putri Pratiwi Ardhi Pratomo Ariantara, Yudi Baggash Adytia Pratama Candra Alexander Desi Tosary Dewi Suranti Dewi Yuliansari, Intan Edison Edison Edy Hermansyah Eko Suryana Eko Suryana Erpan Syahputra Evandi, Rahmad Evi Andriani Fadhilah, Abyyu Febriansyah, Angga Trio Firdaus, Muhammad Bintang Fredricka, Jhoanne Fredricka, Jhoanne Hari Aspriyono Harjoni Saputra Herlin Herlin Herlin, Herlin Herlina Latipa Sari Hesti Nur’aini Ila Yati Beti Indra Kanedi Juju Jumadi Jusuf Wahyudi Jutriansyah, Dodon Kanedi, Indra Kanedi Kanita Febianda Kubroh, Darojatul Kurniawan, Dwiki Leni Natalia Zulita Lesmana, Ferdi Lianda, Deri Lina Widawati Liza Yulianti Liza Yulianti Maryaningsih Maryaningsih Maryaningsih, Maryaningsih Mesterjon, Mesterjon Miki Andika Muhammad Fadhil Z, Rusdi Noor Rosa (p:43-50) Mutiara Octa Sari Neri Susanti Ninosari, Devina Nofi Qurniati Panca Nugraha Pratama, Baggash Adytia Putra, Redo Osi Qurniati, Nofi Qurniati, Nofi Revolina, Elya Rianda, Reszha Ricky Zulfiandry Rina Trisna Yanti Rina Trisna Yanti, Rina Riska Riska Robi Saputra S Siswanto Sabda Novita Sallaby, Achmad Fikri sapri sapri Saputra, Ryu River Sari, Lidiya Okta Sarjuni, Muhammad Sartika, Devi Septianto, Muhamad Diecky Siti Sundari Sri Handayani Suartana, Gede Sukmawati Sukmawati Sulisti Afriani Sulisti Afriani, Sulisti Supardi, Reno Suranti, Dewi Syaputra, Sandy Ulandari, Puspa Weeildyalihumarita Weeildyalihumarita Wiradiansya, Edoar Wiranto, Fenggi Yesi Indian Ariska Yilistriyani Yilistriyani, Yilistriyani Yupianti, Yupianti Yupianti, Yupianti Zahesya, Favien Riza