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Journal : Riau Journal of Computer Science

Sistem Pendukung Keputusan Pemberian Kredit Modal Usaha Menggunakan Metode Weighted Product ( Studi Kasus Pada Bank Danamon Simpan Pinjam Ujung Batu ) Kiki Yasdomi
RJOCS (Riau Journal of Computer Science) Vol. 1 No. 1 (2015): Riau Journal Of Computer Science
Publisher : RJOCS (Riau Journal of Computer Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1254.139 KB) | DOI: 10.30606/rjocs.v1i1.526

Abstract

Weighted Product merupakan salah satu metode yang digunakan dalam menyelesaikan masalah FADM (Fuzzy Multi Atribute Decision Making). Weighted Product memerlukan proses normalisasi karena mengalikan hasil penilaian setiap attribute, hasil perkalian belum bermakna jikabelum dibandingkan dengan nilai standar. Bobot untuk attribute berfungsi sebagai pangkat positif dalam proses perkalian, sementara bobot biaya berfungsi sebagai pangkat negatif. Tahapan yang dilakukan dalam proses Metode Weighted product adalah dengan cara menggunakan perkalian untuk setiap rating kecocokan kriteria dan memangkatkan rating setiap kriteria dengan bobot kriteria yang bersangkutan. Metode ini digunakan untuk mencari alternatif terbaik dari sekian alternatif yang adadengan bobot yang terbaik. Dari penyelesaian tesis ini penulis melakukan penelitian dengan cara bagaimana menyeleksi calon nasabah dalam pemberian kredit modal usaha pada Bank Danamon Simpan Pinjam Ujung sesuai kriteria yang telah ditetapkan.
PROTOTIPE SISTEM PENDUKUNG KEPUTUSAN PENDETEKSIAN KONDISI BAYI DENGAN FUZZY TSUKAMOTO Agung Setiawan; Budi Yanto; Kiki Yasdomi
RJOCS (Riau Journal of Computer Science) Vol. 4 No. 2 (2018): Riau Journal of Computer Science
Publisher : RJOCS (Riau Journal of Computer Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (520.033 KB) | DOI: 10.30606/rjocs.v4i2.1645

Abstract

Baby condition is a condition that is vulnerable to environmental changes, especially weather changes. Knowledge of a mother in maintaining baby health should also be considered, especially in terms of nutritional intake. A healthy baby's condition affects the baby's growth and development. The creation of a decision support system should be preceded by collecting and analyzing data according to need. In this study using baby feeding variables, namely Body Temperature (37.70c), Fuss (2.4), Restless (4.5), BABSering (3.7), BABEncer (5.6), Bloating (3.5), Nausea (3.7), Vomiting (3.2 ), Stomach Pain (2.7) and Itchy Skin (2.8). The results of the calculations will result in defoliation as follows: Measles (1.48), Septis (1.48), Diarrhea (1.48), ISPA (7.36), Enteritis (0.77), Miliaria (1.48), OMP (1.48) and Varicela (1.48). The range of fuzzy values ranges from 0 to 1, so the results obtained that the baby has enteritis or stomach problems. The calculation of defuzification obtained result of 8.1, so the condition of the baby is very sick and should be handled immediately by bringing to the medical personnel
Sistem Pendukung Keputusan Karyawan Terbaik Menggunakan Metode Weight Product (WP) (Studi Kasus : Universitas Pasir Pengaraian) Dona .; Kiki Yasdomi; Urfi Utami
RJOCS (Riau Journal of Computer Science) Vol. 4 No. 1 (2018): Riau Jurnal of Computer Science
Publisher : RJOCS (Riau Journal of Computer Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.551 KB) | DOI: 10.30606/rjocs.v4i1.1660

Abstract

Weighted Product is one of the methods used in solving the problem of FADM (Fuzzy Multi Attribute Decision Making). Weighted Product requires a normalization process because it multiplies the assessment results of each attribute, the multiplication product has not been meaningful if it has not been compared with the standard value. The weights for attributes serve as positive ranks in the multiplication process, while the cost weight serves as a negative rank. The steps taken in the process of Weighted Product method is by using multiplication for each criteria match rating and rating the each criterion with the weight of the criteria. This method is used to find the best alternative of the many alternatives that exist with the best weight. From the completion of this thesis the authors do research by how to choose the best employees at the University of Pasir Pengaraian according to predetermined criteria.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN MAHASISWA BERPRESTASI MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) Kiki Yasdomi; Mi'rajul Rifqi; Hendri Maradona; Hary Kurniawan
RJOCS (Riau Journal of Computer Science) Vol. 5 No. 1 (2019): Riau Journal of Computer Science
Publisher : RJOCS (Riau Journal of Computer Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (395.608 KB) | DOI: 10.30606/rjocs.v5i1.1702

Abstract

Technology at this time is very important for everyday people, computerization is needed to facilitate human work. In the education sector, especially at the Pasir Pengaraian University (UPP). UPP is a university located in Kab. Rokan Hulu, Riau, UPP has problems in processing data on the selection of outstanding students (PILMAPRES) using Microsoft Excel which is considered to have many shortcomings. The purpose of this study was to implement a decision support system for the selection of outstanding students. This system will be implemented using the PHP and MySQL programming languages. Decision support systems that are made using the Simple Additive Weighting (SAW) method, using the interview method to collect data. The results of the study show that the adoption of a decision support system using the Simple Additive Weighting (SAW) method can recommend the best alternatives to pilmpares UPP