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All Journal Computatio : Journal of Computer Science and Information Systems Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika International Journal of Global Operations Research
Situmorang, Boldson Herdianto
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics

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Apriori Algorithm Application for Consumer Purchase Patterns Analysis Situmorang, Boldson Herdianto; Isra, Ali; Paragya, Dhatu; Akbar Adhieputra, David Aulia
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 21, No 1 (2024): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v21i1.9260

Abstract

The Apriori algorithm is a data mining association rule algorithm for finding relationship patterns between one or more items in a dataset. Apriori algorithm is often used in transaction data analysis or market basket analysis. Apriori algorithm is used to find out consumer purchase patterns in e-commerce systems and provide product recommendations to consumer by extaracting associations or events from transactional data. This study is purposed for deeply analyze the steps, performance of Apriori algorithm, and give relevant an example of case study to better explain the steps of Apriori algorithm application, as well as the results achieved. 
Penerapan Teknik Computer-Generated Imagery pada Animasi Pemanfaatan Lubang Resapan Biopori Situmorang, Boldson Herdianto; Zuraiyah, Tjut Awaliyah
Computatio : Journal of Computer Science and Information Systems Vol. 4 No. 2 (2020): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v4i2.9691

Abstract

Computer-Generated Imagery merupakan penerapan lanjutan dalam bidang komputer grafis. Penggunaan teknik Computer-Generated Imagery untuk memberikan efek khusus dapat menghasilkan animasi yang lebih kelihatan nyata dan menarik perhatian. Proses komunikasi massa pada intinya ialah proses penyampaian pesan dari komunikator kepada komunikan. Komunikasi massa dapat disajikan dalam bentuk animasi. Penggunaan teknologi Computer-Generated Imagery dapat memberikan efek khusus pada adegan dalam animasi sehingga tampak begitu nyata dan seperti hidup. Penelitian ini akan membuat animasi pembuatan lubang resapan biopori menggunakan teknik Computer-Generated Imagery sebagai media sosialisasi sehingga masyarakat akan tertarik untuk berperan serta mendukung pelestarian lingkungan hidup khususnya dalam menanggulangi krisis air tanah.
Inventory Replacement Decision Support System Using Clustering and Analytical Hierarchy Process (AHP) Methods Nurjaman, Rusli; Tosida, Eneng Tita; Situmorang, Boldson Herdianto
International Journal of Global Operations Research Vol. 6 No. 4 (2025): International Journal of Global Operations Research (IJGOR), November 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i4.436

Abstract

The Center for Human Resources Development of Transportation Apparatus (PPSDMAP) still faces obstacles in manual inventory management, resulting in a long time required to determine which items are suitable or need to be replaced. This study aims to develop a web-based Decision Support System (DSS) to assist the inventory replacement decision-making process effectively and efficiently. The K-Means Clustering method was used to group inventory data based on age, condition, and value (price) attributes using 230 inventory data from January 1–November 30, 2023. The test results produced a Davies-Bouldin Index (DBI) value of 0.435 with six optimal clusters. Furthermore, the Analytical Hierarchy Process (AHP) method was used to determine the priority of handling strategies for less suitable or unsuitable inventory groups, with a Consistency Ratio (CR) below 10%, indicating a good level of consistency. The results of the study indicate that the developed system can assist PPSDMAP in grouping inventory objectively and support inventory replacement decision-making in a systematic, efficient, and measurable manner.
Co-Authors Akbar Adhieputra, David Aulia Eneng Tita Tosida Isra, Ali Nurjaman, Rusli PARAGYA, DHATU Tjut Awaliyah Zuraiyah