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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
Lena Elfianty
Universitas Dehasen Bengkulu
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Journal : Jurnal Media Computer Science

 1 
The Use Of Smart Method In Supporting Contract Employee Selection Decisions To Become Permanent Employees At PT. Agro Muko Bunga Tanjung Estate Jutriansyah, Dodon; Yupianti, Yupianti; Elfianty, Lena
Jurnal Media Computer Science Vol 4 No 1 (2025): Januari
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i1.7534

Abstract

Pt. Agro Muko Bunga Tanjung Estate is a private company engaged in oil palm plantations. PT. Agro Muko Bunga Tanjung Estate has contract employees who are selected every year to become permanent employees. The process of selecting contract employees to become permanent employees is still not effective and efficient, this will result in doubt in decision making which allows for errors to occur and is less precise. The SMART method is a multi-criteria decision-making technique that is effective in dealing with problems at PT. Agro Muko Bunga Tanjung Estate. The use of the SMART method in the selection of contract employees to become permanent employees at PT. Agro Muko Bunga Tanjung Estate can simplify the selection process based on 4 assessment criteria, namely Length of Work Contract, Education, Attendance, and Responsibilitylity. The final result of this research is a decision support system for the selection of contract employees to become permanent employees that is in accordance with expectations and the system or application can provide information on the results of the selection of contract employees through the rank after the year of research.
Application of Recommendations for Selection of Outstanding Students at Seluma 06 State Senior High School Through the Fuzzy Tsukamoto Approach Suartana, Gede; Mesterjon, Mesterjon; Elfianty, Lena
Jurnal Media Computer Science Vol 2 No 1 (2023): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i1.3345

Abstract

SMA Negeri 6 Seluma is one of the state senior high schools in Seluma Regency. At the school, students are assessed every academic year through several criteria to select outstanding students who have the ability to master subjects and have good personal ethics. So far, the process of selecting outstanding students is only seen from the results of the report cards obtained by students, then ranking is carried out. This is of course less effective in determining outstanding students, because it must be supported by other aspects such as student ethics during the teaching and learning process. The recommendation application for selecting outstanding students at SMA Negeri 06 Seluma was made using the Visual Basic .Net programming language and SQL Server 2008r2 Database. This application has implemented one of the fuzzy logic methods, namely Fuzzy Tsukamoto which is used to help provide recommendations for selecting outstanding students at SMA Negeri 06 Seluma. The process of selecting outstanding students is carried out every academic year based on aspects based on aspects of average knowledge value, average skills score, absenteeism score, academic achievement, non-academic achievement, and guidance and counseling records. Based on the blackbox testing that has been done, the results show that the functionality of the recommendation application for selecting outstanding students at SMA Negeri 06 Seluma runs well as expected and is able to analyze student assessment data through the Fuzzy Tsukamoto Method to get recommendations for outstanding students
Implementation Of Data Mining In Forecasting Herbal Medicine Sales At Cv. Anugerah Alam Indonesia Using The Linear Regression Method Lesmana, Ferdi; Elfianty, Lena; Fredricka, Jhoanne
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.9030

Abstract

CV. Anugerah Alam Indonesia is a company engaged in the production and sale of herbal medicines. The main issue faced by the company is the inaccuracy in estimating production quantities, which often leads to either overstocking or stock shortages. This research aims to develop a sales forecasting application for herbal products using the simple linear regression method as part of data mining techniques. The sales data used in this study spans from 2020 to 2025 and focuses on ten selected herbal products. The application is web-based, developed using the PHP programming language and Laravel framework, with MySQL as the database. The forecasting process involves calculating regression constants and coefficients based on historical sales data and evaluating the prediction results using the Mean Absolute Percentage Error (MAPE) metric. The test results show that the forecasting model demonstrates varying levels of accuracy, ranging from very good to acceptable, depending on the product. By implementing this system, the company can optimize its production and distribution processes, avoid resource waste, and improve operational efficiency.
Co-Authors Aan Herwansah Abdussalam Al Akbar Adriansa, Mezi Alfarisy, Ahmad Arib Alinse, Rizka Tri 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 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 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 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