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Implementasi Data Mining dengan Algoritma Naïve Bayes Untuk Klasifikasi Kelayakan Penerima Bantuan Sembako Amat Damuri; Umbar Riyanto; Hengki Rusdianto; Mohammad Aminudin
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3655

Abstract

Poverty is one of the fundamental problems that is the center of attention of the government in a country. One of the important aspects to support the Poverty Reduction Strategy is the availability of accurate and targeted poverty data. Naïve Bayes is one method that can be used to classify data. The results of the classification carried out will later help aid managers to make decisions regarding the classification of determining the recipients of basic food assistance. There are two classes of predictions for the recipients of the basic food assistance, namely eligible and not eligible. The data used for prediction is sample data from XYZ village. In this research, the nave Bayes algorithm is implemented and analyzed using a web-based application. From the results of the evaluation using the confusion matrix, the resulting accuracy for 135 training data with 40 testing data and seven attributes used resulted in an accuracy of 86%, recall of 85%, and precision of 88%.
Implementasi Metode Profile Matching Pada Sistem Pendukung Keputusan Seleksi Calon Ketua OSIS Amat Damuri; Herry Wahyono; Nuke L Chusna
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.158 KB) | DOI: 10.47065/josh.v4i1.2337

Abstract

OSIS is the highest organization in the school that functions to mobilize students to be able to contribute to various activities that support the school. To get the OSIS chairperson, it begins with the registration of candidate candidates, then continues with a meeting to determine the candidate for the OSIS chairman. This is considered ineffective because there are no special criteria, so it is not right on target. In addition, the selection process in this way takes a long time. The purpose of this study is to develop a decision support system to select a candidate for the OSIS chairman by using the profile matching method through the required criteria so that the process will be faster and more precise. The profile matching method has the ability to determine the assessment based on the existing attributes. Based on the calculation of profile matching manually and the system built shows the same results. Based on the case study, candidate 1 got a final score of 9.14 and candidate 2 got a final score of 9.215. The results of the assessment of test cases that have been filled in by system users get the system functions developed in accordance with the test criteria carried out. As for the results of black-box testing, the value is 100%, this means that the system is in accordance with the functions and needs.
Sistem Pendukung Keputusan Pemilihan Lahan Tanaman Kopi Menggunakan Metode Complex Proportional Assessment (COPRAS) Ahmad Fathurrozi; Amat Damuri; Agung Tri Prastowo; Yuri Rahmanto
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 3 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i3.605

Abstract

Land is one of the important aspects in cultivating coffee plants. This is because the land has a stake in increasing the quality and yield of crops. To select a coffee field, it is necessary to be based on accurate data and information about the land. So, conventional decision-making will take time because it needs to be discussed and compared between data from one field to another. So, the purpose of the research conducted is to develop a Decision Support System (DSS) using the Complex Proportional Assessment (COPRAS) method to determine the right coffee area and according to needs. The COPRAS approach can carry out different alternative analyzes and is able to make alternative estimates that are adjusted to the level of utility by providing ratings presented in intervals. Based on a case study conducted using the COPRAS method, the highest utility value was land in Banjar Negeri Village (A2) with a value of 100, followed by Tanjung Agung Village (A3) with a value of 93.64, Tanjung Jati Village (A1) with a value 92.90 and Kampung Baru Village with a value of 83.53. The results of the SPK developed with the results of manual calculations get the same value. Besides that, the test through Black-Box Testing shows the results that all system functions built can run well
Impelementasi Metode MOORA Pada Sistem Pendukung Keputusan Pemilihan Pegawai Teladan Amat Damuri; Tuti Lisnawati; Wieke Tsanya Fariati; Rhaishudin Jafar Rumandan
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3389

Abstract

Employees are a human resource asset for a company in carrying out the operational activities of an organization or company in achieving the main goals of the organization or company. The purpose of this study is to select exemplary employees in the company using the MOORA method, so that the company will quickly evaluate exemplary employees once every 6 months. The results of the ranking of exemplary employees who get rank 1 are exemplary employees, namely Zaenal Yuswantoro with a total score of 0.179431073, for rank 2 exemplary employees, namely Yolanda Prasasti with a total score of 0.175703146, and 3rd rank exemplary employees, namely Ahmad Budianto with a total value of 0.174341166. The results of manual calculations and by using a web application based on the Laravel framework show no difference in the results of the grades and ratings of the employees being assessed