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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Sains dan Teknologi Jurnal Tekinkom (Teknik Informasi dan Komputer)
Oloan Sihombing, Oloan
Magister Teknik Informatika, Universitas Sumatera Utara
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Physics Social Sciences

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Journal : Jurnal Tekinkom (Teknik Informasi dan Komputer)

 1 
ANALISIS KOMPARASI ALGORITMA C5.0 DAN NAIVE BAYES PENENTUAN PENERIMA BEASISWA UNIVERSITAS PRIMA INDONESIA Fantasy, Carolus Laberto; Simanjuntak, Felix Luther Mateus; Purba, Raja Levi Aldi; Sihombing, Oloan
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.926

Abstract

In developing quality human resources, Prima Indonesia University offers a scholarship program to help with educational costs for outstanding students. This research aims to help solve the problem of scholarship recipient selection which requires in-depth analysis using data mining technology. In this research, the use of the C5.0 algorithm and Naive Bayes algorithms was compared in determining scholarship recipients at Prima Indonesia University. The research method involves research locations at Prima Indonesia University using scholarship student data for 2019-2022 as research objects. The research instrument includes the use of the Python programming language with Google Colab as an editor, the Windows 10 operating system, and hardware with certain specifications. Data collection involves observation, literature study, data cleaning, data mining, and exploratory data analysis. The results of research using and comparing the C5.0 and Naive Bayes algorithms show an accuracy of 98.62% and 91.37% respectively. Evaluation involves precision, recall, F1, and confusion matrix values. In conclusion, the C5.0 algorithm is more accurate in determining scholarship eligibility than Naive Bayes, with accuracy increasing by around 8%. This research contributes to the development of data mining and predictive analysis in the context of determining scholarship recipients in higher education institutions.
PENERAPAN TEKNOLOGI BUSINESS INTELLIGENCE DALAM MENINGKATKAN STRATEGI PENJUALAN DENGAN METODE OLAP PADA CAFÉ LE KAHVE Sipayung, Arif Richardo Idola; Zendrato, Nur Eni; Marbun, Timo Adelina; Telaumbanua, Jeremia Nicholas; Sihombing, Oloan
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1529

Abstract

This research aims to develop a data warehouse system and information dashboard based on Business Intelligence (BI) technology with the OLAP method to improve sales strategies at Le Kahve, a coffee shop company. The BI implementation uses Pentaho Data Integration for the ETL (Extract, Transform, Load) process and Microsoft Power BI for dashboard visualization. The ETL process is carried out to collect, process, and link sales data obtained from the Point of Sales (POS) system in Excel format. The data is then processed into a data warehouse using a star schema, which facilitates multidimensional analysis. Through the OLAP method, sales data is analyzed across various dimensions such as product, time, and payment method. The data visualization results in the form of a dashboard enable the company to quickly view sales performance and make more effective decisions. This dashboard provides information on best-selling products, product categories, and sales trends over time. The research results show that by implementing BI and OLAP, the company can improve operational efficiency, accelerate analysis, and support decision-making to enhance sales strategies and company competitiveness.
ANALISIS PENGARUH OVERSAMPLING SMOTE CREDIT CARD FRAUD DETECTION METODE FITUR FORWARD SELECTION Wijaya, Louise Ernest; Fancella, Shevira; Sihombing, Oloan
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.1971

Abstract

Credit card is one of the legal payment methods that is still widely used by the society. People use credit cards to buy various needs both in terms of food, clothing and food. Credit cards also present many dis-count and vouchers that can attract more and more users every day. But in the increasingly crowded use of credit cards, there are also cyber threats that are also growing rapidly along with the times. One of them is fraud to obtain data containing credit card information of an individual. To prevent/lower the risk of Cyber Crime, a credit card fraud detection method is needed. This research focuses on the influence of SMOTE oversampling and Forward Selection feature in the performance of a system used.
ANALISIS PENGEMBANGAN WEBSITE INTERAKTIF DAN USABILITY LAYANAN INFORMASI PENDAFTARAN PROGRAM BANTUAN PADA DINAS SOSIAL KOTA MEDAN Devraz, R.W.; Sitanggang, Jelita Sari; Pardede, Eva Damayanti; Sihombing, Oloan
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.1972

Abstract

This study suggests the development of an interactive website to improve user-friendly services and information and make registration for social assistance programs easier at the Dinas Sosial of Medan City. The main objective of the research is to address the problems that people often face: ineffective online registration process and lack of information about social assistance programs. The research method was conducted by creating a website with an easy-to-use user interface and testing it with user research methods to ensure that it was easily accessible and useful. The results show that a clear, complete, and easy-to-use website can increase transparency and public engagement in social assistance programs. Therefore, it is hoped that the creation of this interactive website will be an effective tool to improve the availability of information and services and make it easier for the public to get the assistance they need.
Co-Authors Banjarnahor, Jepri Barus, Ertina Sabarita Chandra, Johny Devraz, R.W. Eric Wijaya Fancella, Shevira Fantasy, Carolus Laberto Hendra Hendra Indra, Evta Jeriko Saragih, Jewis Juanta, Palma Lim, Albert Mansyur, Reyhand Einstein Marbun, Timo Adelina Ompusunggu, Elvis Sastra Pardede, Eva Damayanti Purba, Raja Levi Aldi Salim, Stanley Siahaan, Mikael Simanjuntak, Felix Luther Mateus Sinaga, Wilson Sinurat, Stiven Hamonangan Sipahutar, Santy Sipayung, Arif Richardo Idola Sitanggang, Jelita Sari Sitorus, Sarah Tri Yosepha Stephen Sutrisno - Telaumbanua, Jeremia Nicholas Wijaya, Louise Ernest Winata, Jaspin Yonata Laia Zendrato, Nur Eni