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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF SCIENCE AND SOCIAL RESEARCH
Rizka Tri Alinse
Universitas Dehasen, Bengkulu
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences

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Analisis Penerapan Metode MOORA dan WASPAS dalam Keputusan Pengajuan Kredit Pemilikan Rumah (KPR) Rizka Tri Alinse; Venny Novita Sari; Achmad Fikri Sallaby
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6174

Abstract

To fulfill the necessities of life, humans need a place to shelter from the hot sun and the dark of the night even if it rains, the role of residence is very important. Not only that, the house can also be a place for gathering and carrying out family activities such as carrying out daily activities and communicating with each other. A house is an asset whose price is not cheap, so not a few people buy a house by credit. Therefore, the bank created a mortgage program to make it easier for people with limited economic conditions. Mortgages are made with payments in installments so it is likely that the bank will lose if the mortgage is given to the wrong person. So we need a system that facilitates the bank in making a decision. The Decision Making System (DSS) can be carried out using several methods such as MOORA, MOOSRA, WASPAS, TOPSIS, PSI, VIKOR, WP, SAW and others. In this study, the method used in determining the recipient of a Home Ownership Loan is the MOORA and WASPAS methods. These two methods will be applied separately based on existing criteria and alternatives. The final result after applying this method is that the best alternative is obtained by A7 with a Qi value of -0.04131 (MOORA method). Likewise with the application of WASPAS, the highest value was obtained for alternative A7 with a Qi value of 2.91829.
PENERAPAN METODE CLUSTERING K-MEANS DALAM PENGELOMPOKKAN JUMLAH PENGUNJUNG PADA DINAS PERPUSTAKAAN DAN KEARSIPAN PROVINSI BENGKULU Ninti Putriani; Liza Yulianti; Rizka Tri Alinse
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 6, No 3 (2023): October 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v6i3.1444

Abstract

Abstract: The Library and Archives Service of Bengkulu Province is a library based in the provincial capital of Bengkulu which aims to provide facilities and sources of information and become a center of learning. The number of visitors recorded on the visitor book list at the Library and Archives Service of Bengkulu Province can generate library visitor profile information. By using visitor data at the Library and Archives Service of Bengkuu Province, data mining can be carried out using the K-Means Clustering method. K-Means is a method of grouping data by taking the parameters of a number of clusters, and partitioning the data into these clusters. Based on the similarity between data in one cluster and the dissimilarity between different clusters, the center of the cluster is the average of the values of the cluster members. which are called centeroids. It is hoped that future research can be developed by adding attribute variables in forming visitor data groups for at the Library and Archives Service of Bengkuu Province such as regional and other variables.Keywords: K-Means; clustering; vb-netAbstrak: Dinas Perpustakaan dan kearsipan Provinsi Bengkulu merupakan perpustakaan yang berkedudukan di ibukota provinsi bengkulu yang bertujuan untuk menyediakan fasilitas dan sumber informasi dan menjadi pusat pembelajaran. Banyaknya pengunjung yang tercatat pada daftar buku pengunjung di Dinas Perpustakaan dan Kearsipan Provinsi Bengkulu dapat menghasilkan informasi profil pengunjung perpustakaan. Dengan menggunakan data pengunjung di Dinas Perpustakaan Dan Kearsipan Provinsi Bengkuu bisa dilakukan penambangan data (data mining) menggunakan metode Clustering K-Means. K-Means adalah metode pengelompokkan data dengan mengambil parameter sejumlah cluster, dan mempartisi data ke dalam cluster tersebut., dengan berpatokan pada kemiripan antar data dalam satu cluster dan ketidakmiripan di antar cluster yang berbeda, pusat dari cluster adalah rata-rata dari nilai anggota cluster yang disebut centeroid.Tujuan dari penelitian ini yaitu untuk membantu proses pengelompokkan jumlah data pengunjung pada kantor Dinas Perpustakaan. Diharapkan pada penelitian yang akan datang dapat dikembangkan dengan menambah variabel atribute dalam membentuk kelompok data pengunjung dinas perpustakaan dan kearsipan provinsi bengkulu seperti variabel wilayah dan lainnya.Kata kunci: K-Means; clustering; VB-Net
SISTEM PAKAR KONSELING SISWA MENGGUNAKAN METODE NAIVE BAYES DI SMK NEGERI 02 KOTA BENGKULU Sigit Firdaus; Maryaningsih Maryaningsih; Rizka Tri Alinse
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 6, No 3 (2023): October 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v6i3.1454

Abstract

Abstract: Counseling guidance in schools aims to guide and supervise the development of student behavior so that it does not deviate from the norms prevailing in society. Guidance and counseling services in schools to assist students in an effort to find identity, get to know the environment and plan for the future of students. The student counseling expert system at SMK Negeri 02 Bengkulu City was created using the PHP programming language and MySQL database, which can be accessed online via the link https://konselingsiswasmkn2bengkulu.vad.my.id/. The student counseling expert system at SMK Negeri 02 Bengkulu City has applied the Naive Bayes Method to represent, combine, and propagate uncertainty, which has several intuitive characteristics in accordance with the way of thinking of an expert. Based on the system testing that has been done, it can be concluded that the functional of the application has been running well and this expert system can provide student counseling results based on the symptoms chosen by students through the stages of the Naive Bayes method.Keywords: expert system; student counseling; naive bayes method; bengkulu city 2vocational school Abstrak: Bimbingan konseling di sekolah bertujuan untuk membimbing dan mengawasi perkembangan perilaku siswa agar tidak menyimpang dari norma yang berlaku di masyarakat. Bimbingan konseling pada sekolah untuk membantu peserta didik untuk upaya membantu mencari jati diri, agar dapat mengenal di lingkungan untuk merencanakan kehidupan di masa depan peserta didik. Sistem pakar konseling siswa di SMK Negeri 02 Kota Bengkulu dibuat menggunakan Bahasa pemrograman PHP dan database My SQL, yang dapat diakses secara online melalui link https://konselingsiswasmkn2bengkulu.vad.my.id/. Sistem pakar konseling siswa di SMK Negeri 02 Kota Bengkulu telah diterapkan Metode Naive Bayes untuk merepresentasikan, kombinasi, dan propogasi ketidakpastian, dimana memiliki beberapa karakteristik yang instutitif sesuai dengan cara berpikir seorang pakar. Berdasarkan pengujian sistem yang telah dilakukan, dapat disimpulkan bahwa fungsional dari aplikasi telah berjalan dengan baik dan sistem pakar ini dapat memberikan hasil konseling siswa berdasarkan gejala yang dipilih oleh siswa melalui tahapan metode Naive Bayes.Kata kunci: sistem pakar; konseling siswa; metode naive bayes; smk negeri 2 kota bengkulu
Co-Authors Liza Yulianti Maryaningsih Maryaningsih Ninti Putriani Sallaby, Achmad Fikri Sigit Firdaus Venny Novita Sari