Article Per Year (5 Year)
p-Index From 2020 - 2025
1.578
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Jurnal Ilmiah Universitas Batanghari Jambi INTECOMS: Journal of Information Technology and Computer Science Jurnal Sistem Cerdas Jurnal Sistem Informasi Kaputama (JSIK) Journal of Informatics, Electrical and Electronics Engineering Indonesian Journal of Dedication and Educations The Indonesian Journal of Computer Science
M. Afdal
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

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

 1 
Implementation Of Naïve Bayes Classifier And Support Vector Machine For Stunting Classification Azani, Nilam Wahdiaz; M. Afdal
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4040

Abstract

Stunting is a condition when a child's physical growth and development are stunted or delayed due to a lack of adequate nutritional intake over a long period of time, especially during the early years of life. Indonesia still has a stunting prevalence rate above the WHO standard, which is at 21.6%. 2020 UN statistics recorded more than 149 million (22%) toddlers worldwide were stunted, of which 6.3 million were early childhood or stunted toddlers were Indonesian toddlers. This study aims to create a classification model using Data Mining Algorithms NBC and SVM to analyze and describe the class of a total of 2018 toddler nutritional status data in Lima Puluh Kota Regency. The results of this study are expected to be an evaluation of whether the stunting prevention program implemented has been successful, and can be the basis for creating the next program.
Implementasi Association Rule Untuk Rekomendasi Strategi Up-Selling dan Cross-Selling Produk Menggunakan FP-Growth Nabiilah, Nabiilah; M. Afdal; Novita, Rice; Mustakim
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4025

Abstract

BC 4 HNI Pekanbaru is a subsidiary of PT. HNI-HPAI Indonesia offers a diverse range of items for sale. Insufficiently effective promotions, despite high transaction volumes, can result in certain items being less recognized and thus impractical. The purpose of employing the FP-Growth algorithm in data mining is to uncover product association patterns and produce rules for sales tactics using the CRM approach. Implementing CRM strategies that incorporate cross-selling and up-selling techniques can enhance sales. Cross-selling involves offering additional products or services connected to the items purchased, while up-selling involves encouraging customers to buy higher-value goods than initially intended, boosting sales of more expensive items. Among the 20 results obtained from analyzing transaction data from July 2023 to December 2023 using FP-Growth, only the rules with a minimum support value of 5% and a minimum confidence of 70% are considered for cross-selling strategies. Additionally, the rules with a minimum support value of 5% and a minimum confidence of 10% are considered for up-selling.
Co-Authors Anggi Widya Atma Nugraha Annisa Nadaa Shabrina Aprilian, Rahil Imainul Arifin, Abdullah Azani, Nilam Wahdiaz Dhiya U Syamsi Jamali Fachroerrozi Hoesni, Fachroerrozi Febi Nur Salisah Febi Yanto Fitriani Muttakin Inggih Permana Inggih Permana Jahtera Manalu Julia Julia Medyantiwi Rahmawita Muhammad Irsyad Mustakim Nabiilah, Nabiilah Rice Novita Rice Novita Sepri, Domi Siti Monalisa SUMIYATI SUMIYATI Suryadi Suryadi Syahrul Hijaji Tengku Khairil Ahsyar Tsulis Amirudin Zahri Windy Amelia Putri Zarnelly