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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JSI: Jurnal Sistem Informasi (E-Journal) Rekursif: Jurnal Informatika Jurnal Pseudocode Annual Research Seminar JSAI (Journal Scientific and Applied Informatics) Teknomatika (Jurnal Teknologi dan Informatika) Jurnal Teknologi Informasi Cyberku Akademika
Rusdi Efendi
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Other

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IMPLEMENTASI METODE MOORA DALAM MENENTUKAN KELAYAKAN PENERIMA PROGRAM KELUARGA HARAPAN (PKH) Rusdi Efendi; Aan Erlanshari; Miranti Nopita Sari
JSAI (Journal Scientific and Applied Informatics) Vol 5 No 3 (2022): November 2022
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v5i3.3652

Abstract

The Family Hope Program is a government program that provides conditional social assistance to very poor families that meet the requirements set by the Ministry of Social Affairs. Currently, in the Rimbo Pengadang sub-district, there is no system that can determine who is more eligible who has registered to receive the Hope Family Program. Thus, a decision support system to determine every citizen who registers. The purpose of this research is to build a decision support system in determining the recipients of the Family Hope Program using the MOORA method, then apply the MOORA method to be able to process the criteria in determining the eligibility of PKH recipients, generate value from MOORA . calculation method, dan menghasilkan peringkat untuk menentukan siapa yang memenuhi syarat untuk menerima Program Keluarga Harapan. The method used is the Multi-Objective Optimization by Ratio Analysis (MOORA) method. Tests in this study using Black-box testing get a value of 100%, testing the feasibility of the system with manual calculations obtained an accuracy value of 100%.
Implementasi Metode Naïve Bayes Pada Penentuan Mutu CPO (Crude Palm Oil) Rusdi Efendi; Ruvita Faurina; Tiya Suci Hamimmah
JSAI (Journal Scientific and Applied Informatics) Vol 6 No 3 (2023): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v6i3.5430

Abstract

Palm oil is a very abundant source of vegetable oil and produces the highest vegetable oil compared to other plantation crops, which is the background of this research. This study aimed to classify the quality of CPO (Crude Palm Oil) into two classification classes using the Naïve Bayes method. This classification is expected to reduce human error in determining CPO quality. The parameters used in this research are free fatty acid content, moisture content and impurities which greatly affect the quality of CPO. By using the split data technique at the time of validation, the data is divided into training data and test data by 70:30. Based on the results of testing using the confusion matrix, the use of the Naïve Bayes method for data collected on research objects obtained an accuracy rate of 97.7% or included in the excellent category. While the specificity value is 95.8%, the recall value is 100%, and the precision is 95.4%.
Sistem Pakar Untuk Mengidentifikasi Hama Dan Penyakit Pada Tanaman Jagung Menggunakan Metode Teorema Bayes Berbasis Web Rusdi Efendi; Agustin Zarkani; Ristianah
JSAI (Journal Scientific and Applied Informatics) Vol 6 No 3 (2023): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v6i3.5554

Abstract

Corn is one of the world's most popular carbohydrate-producing food crops, besides wheat and rice. The large number of corn plants attacked by pests and diseases can disrupt corn productivity and the community's economy because corn plants can be damaged, resulting in lower prices and quality of crops. This system aims to build an expert system to identify eight types of diseases and nine pests in corn plants from 49 symptoms using the Bayes Theorem method and make it easier for corn farmers to carry out control after knowing that there are identified pests and diseases. The Bayes Theorem method is a method for dealing with data uncertainty. This method is based on the initial conditions, which are the conditions of the existing symptoms, then subject to predetermined rules. Then the largest truth value is taken to determine conclusions and solutions to the previously mentioned symptoms. The results of 100% functionality have been successfully tested through black box testing. The results of the evaluation of the accuracy of the Bayes Theorem Method for identifying pests on corn plants amounted to 94.23%.
APLIKASI INVENTARISASI DATA SPASIAL BERBASIS WEB GIS (STUDI KASUS: KOTA BENGKULU) Rusdi Efendi
JURNAL AKADEMIKA 61-68
Publisher : LP2M Universitas Nurdin Hamzah Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Main purpose of this research is to build a web GIS based application of spatial data inventory which facilitate user to manage spatial data in an integrated way. With this software, user could save, edit, and show spatial data through web environtment without performing web GIS development. The method that was used on system development is waterfall model of SDLC (System Development Life Cycle). Modeling analysis and system design was using UML (Unified Modeling Language). The result of analisys and system design then be implemented through PHP (Hypertext Processor) language, and MySQL (My Structured Query Language). This software has ability to extract digital data in GML (Geographic Markup Language) format, save spatial data in WKT (Well- Known Text) Format, and show spatial data in vector format which completed by legend and some facilities, such as: zoom in, zoom out, zoom to max extent, layer switcher, scale, scale line, mouse position, drawing tools, and popup window. According the test that has been performed, system could handle spatial data management which including: saving and showing spatial data in vector format.
Co-Authors Aan Erlanshari Agia Dimandili Agustin Zarkani Alda Alif Utama Ari Wedhasmara Azwandi . Boko Susilo Danny M. Saputra Danny Matthew Saputra Desi Andreswari Dian Palupi Rini Diyah Puspitaningrum Dyah Tri Sazmita Endina Putri Purwandari Endina Putri Purwandari Eno Rahmandha Ernawati Ernawati Jambak, Muhammad Ihsan Megasari Megasari Miranti Nopita Sari Muhammad Abdul Aziz Muhammad Rewa Devara nina retno angraheni Primanita, Anggina Rian Agus Dwinata Ristianah Rizki Setiawan Ruvita Faurina Sal Prima Yudha Sri Hartati Tiara Eka Putri Tiya Suci Hamimmah Yesi Kurniasari yola oktavia Yunita Yunita -