Article Per Year (5 Year)
p-Index From 2020 - 2025
4.998
P-Index
This Author published in this journals
All Journal Riau Journal of Computer Science JURNAL INSTEK (Informatika Sains dan Teknologi) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal Computer Science and Information Technology (CoSciTech) Jutsi: Jurnal Teknologi dan Sistem Informasi J-Com (Journal of Computer) Jurnal Ipteks Terapan : research of applied science and education Jurnal Komtekinfo Jurnal Bangun Abdimas Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Journal Of Indonesian Social Society Jurnal Pengabdian Harapan Bangsa Jurnal Teknologi Ilmu Komputer Jurnal Ilmiah Multidisiplin Nusantara The Indonesian Journal of Computer Science
Rolly Yesputra
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 36 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : The Indonesian Journal of Computer Science

 1 
Prediksi Kelancaran Pembayaran Angsuran Pada Koperasi Dengan Metode Naive Bayes Classifier Suwati; Yesputra, Rolly; Sapta, Andy
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3080

Abstract

This study aims to predict the smoothness of installment  payments in cooperatives, making it easier for staff to analyze credit lending. Lack of prudence in analyzing credit results in customers who are in arrears in paying installments, resulting in bad credit. To minimize errors that exist, it is necessary to evaluate the provision of loans to prospective debtors. By utilizing past member criteria data in the past that will be used to predict smooth payments using data mining. The data mining technique used is the Naive Bayes classifier method. The prediction process uses the naive Bayes method, namely by determining the probability or opportunity based on the previous member's data, and the results are used to help make a decision. The criteria used are member data: employment, income, house status, number of credits, and type of credit. Based on the naive Bayes method, the results obtained are 90.00% accuracy, 0.880% AUC, 83,33% recall, and 100% precision.
Pendekatan Metode Weighted Moving Average Untuk Meramal Jumlah Penjualan Keripik Fitri, Adela; Yesputra, Rolly; Nasution, Akmal
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3086

Abstract

Teknik peramalan digunakan untuk memperhitungkan keadaan di masa mendatang atau melakukan prediksi kondisi di masa depan. Metode WMA atau weighted moving average adalah salah satu metode yang umum digunakan untuk melakukan peramalan. Akurasi dari suatu peramalan diukur melalui nilai eror terhadap ramalan yang diperoleh. Teknik peramalan dapat diterapkan dalam penjualan keripik. Dengan memperoleh data peramalan penjualan keripik dimasa mendatang dapat memberikan gambaran untuk langkah-langkah kerja kedepannya, sehingga dapat meningkatkan produktivitas kerja unit usaha. Proses perhitungan peramalan secara manual tentunya harus menguasai keahlian khusus terutama dibidang matematis. Untuk itu peneliti bermaksud membangun sebuah sistem peramalan sehingga dapat digunakan oleh semua orang dengan mudah dan cepat. Melalui sistem peramalan ini diperoleh data penjualan keripik ubi kayu untuk bulan selanjutnya adalah 40 kg dengan akurasi yang diukur menggunakan MSE sebesar 0,96 kg. Dimana dengan proses perhitungan manual juga diperoleh nilai yang sama dengan sistem yang dibuat. Nilai eror juga bisa dikatakan kecil, sehingga kriteria penggunaan metode ini termasuk akurat dan dapat dipercaya.
Co-Authors Adela Fitri Afdhal Syafinur Afdhal Syafnur afrisawati, Afrisawati Ahmad Ariandi Andri Nata Andy Sapta Arridha Zikra Syah Awanda Sari, Windi Dewi Maharani Edi Kurniawan Edi Kurniawan Endra Saputra Fifi Safitri Fitri, Adela Gultom, Karyawaty Guntur Maha Putra Hanafi Asnan Ibnu Mardhotillah Indah Purnama Sari Jeperson Hutahaean Jhonson Efendi Hutagalung Karyawaty Gultom Laina Tussifah Lia Umbari Putri Lia, Lia Umbari Putri M Rizky Pratama Marpaung, Nasrun Masri Wahyuni Muhammad Amin Nasrun Marpaung Nasution, Akmal Novita Pasha Nur Adha Rini Nuriadi Manurung Putri, Lia Umbari Rika Nofitri Risnawati Risnawati Rohminatin Rohminatin Rohminatin, Rohminatin Roni Dalimunthe Sahren Santoso Santoso Sapta, Andy Siagian, Yessica Sitorus Pane, Siti Fatimah Sri Ayu Rizky Sri Maharani Sudarmin Sudarmin Sudarmin Sudarmin Sutan Hirmansyah Siregar Suwati Suwati Syartika Anggraini Titin, Tri Wanti USWATUN HASANAH Uswatun Hasanah William Ramdhan Zikra Syah , Arridha Zulfira Elisa Chan