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All Journal Faktor Exacta JURNAL PENGABDIAN KEPADA MASYARAKAT Journal of Information System, Applied, Management, Accounting and Research Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Jurnal Pendidikan Teknologi Informasi dan Komunikasi Jejak digital: Jurnal Ilmiah Multidisiplin
Suranto Saputra
Universitas Indraprasta PGRI
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Analisis Association Rule Menggunakan Algoritma FP-Growth pada Dataset Online Retail Laksana Priyo Abadi; Heru Sulistiono; Suranto Saputra; Lusi Ariyani
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 5 (2026): AGUSTUS-SEPTEMBER
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/5ap2mr81

Abstract

Market Basket Analysis is widely used to identify consumer purchasing patterns from transaction data and support data-driven business decisions. This study aims to analyze product purchase patterns using the FP-Growth algorithm on the Online Retail Dataset obtained from the UCI Machine Learning Repository. The research employed a data preprocessing stage, including removing missing values, duplicate records, cancelled transactions, and invalid transaction values, followed by transaction transformation and one-hot encoding. The FP-Growth algorithm was implemented with a minimum support of 1%, while association rules were generated using a minimum confidence of 50%. The results produced 973 frequent itemsets, indicating that the algorithm effectively identified frequently purchased product combinations. The strongest association rule was found between REGENCY TEA PLATE PINK and REGENCY TEA PLATE GREEN, with a support value of 0.0109, a confidence value of 90.18%, and a lift value of 61.90. These findings demonstrate that FP-Growth is effective in discovering purchasing patterns and can support cross-selling, product bundling, shelf arrangement, and inventory management strategies in the retail sector.
Prediction of Students' On-Time Study Completion as Assessed from Learning Media, Lecturers, and Students Using the Extended TAM Model Rayung Wulan; Suranto Saputra; Ardhi Dinullah Baihaqi; Yogi Bachtiar
JENTIK : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 5 No. 2 (2026): Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jentik.v5i2.753

Abstract

Purpose of Study: This study aims to predict students' on-time study by analyzing the influence of learning media, lecturers' roles, and student characteristics through an expanded Technology Acceptance Model (TAM) approach, using proportionate stratified random sampling with a sample of 307 students. Data collection techniques included completing questionnaires via barcode access and Google Forms. This model not only considers the perception of usefulness (perceived usefulness) and ease of use (perceived ease of use), but also includes external factors such as the effectiveness of digital learning media, the quality of lecturer interactions, and student and lecturer discipline as additional variables.Methodology: This study used quantitative methods with a survey approach and Structural Equation Modeling (SEM) analysis to test the relationships among variables.Main Findings: The results show that learning media and lecturers' creative support have a significant effect on technology acceptance by students, which in turn influences learning attitudes and timely completion of studies.Novelty/Originality of This Study: The extent to which users perceive that the LMS can improve learning effectiveness has a significant direct effect on perceived ease of use (PEOU; t-value = 9.998 > 1.96). Lecturer discipline on Perceived Usefulness (PU) t-Value 2.417>1.96 has a significant direct effect. These findings provide important implications for the development of adaptive digital learning strategies and increasing the role of lecturer discipline, as well as the development of soft skills in supporting the success of students' timely studies.
Co-Authors abdul mufti Achmad Sarwandianto Adelia Tri Pramudya M Ardhi Dinullah Baihaqi Ardhi Dinullah Baihaqie Dinullah Baihaqie Aswin Fitriansyah Dina Rima Dhona Eddy Saputra Fajar Ramadhan Heru Sulistiono Laksana Priyo Abadi Lusi Ariyani Nahot Frastian Rayung Wulan Riri Indriyanti Yogi Bachtiar Yulianingsih Zaenul Arifin