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p-Index From 2021 - 2026
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All Journal Journal of General Education and Humanities SOCIRCLE : Journal Of Social Community Services
Susi Widyastuti
Sekolah Tinggi Ilmu Komputer Poltek Cirebon
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Increasing The Productivity Of Housewives With Jelly Art Training Eman Sulaiman; Ellin Herlina; Susi Widyastuti
SOCIRCLE : Journal Of Social Community Services Vol. 1 No. 1 (2022): SOCIRCLE: Journal Of Social Community Services
Publisher : PT. Berkah Digital Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58468/socircle.v1i1.1

Abstract

Training in pudding jelly art for housewives leads to improved productivity, skill development, and positive economic impact. Through efficient dessert production and increased income, families benefit, and the local economy is positively impacted.
Using Apriori Algorithm to Analyze Library Borrowing Patterns at SMK Negeri 1 Cirebon Susi Widyastuti; Wahyu Ariandi; Wildan Dwi Putera; Raden Radian Baratasena
Journal of General Education and Humanities Vol. 4 No. 2 (2025): May
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/gehu.v4i2.363

Abstract

This study aims to identify book borrowing patterns in the SMKN 1 Cirebon City library using the association rule method with the apriori algorithm. The apriori algorithm is a data mining method that finds association relationships between items in an extensive database. In this study, book borrowing transaction data is processed to determine the combination of books often borrowed together. The analysis begins with processing book borrowing transaction data, followed by applying the apriori algorithm to find frequent itemsets and association rules with high support and confidence values. The analysis results show that students often carry specific book borrowing patterns, such as those who borrow Python programming books borrow data science with Python books. This pattern is expected to be a recommendation for the library in managing book inventory, arranging bookshelves, and developing more effective and efficient borrowing strategies so that the library can rearrange the bookshelves by placing books that are often borrowed together in the nearest location. Also, the library can determine the types of books that need to be added based on the connected borrowing pattern. Thus, applying the association rule method using the apriori algorithm can help libraries understand students' book-borrowing habits and improve the quality of library services.
Comparative Analysis of the SMARTER and ELECTRE Methods for Determining Priority Recipients of Free Legal Aid Susi Widyastuti; Wahyu Ariandi; Muhammad Erwanto; Wilda Adela Pusriyanto
Journal of General Education and Humanities Vol. 5 No. 1 (2026): February
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/gehu.v5i1.969

Abstract

Access to justice is a fundamental right guaranteed to every citizen by the Constitution. One implementation is the prodeo service, which covers court fees for those with financial difficulties. However, the implementation of prodeo services at the Cirebon City Religious Court still faces challenges in determining recipient priority due to the lack of a multi-criteria decision-making mechanism capable of objectively and measurably assessing various aspects. This study aims to provide recommendations for methods that can assist the court in determining the priority of prodeo service recipients in a transparent, fast, and targeted manner. The methods used are Multi-Criteria Decision Making (MCDM), namely SMARTER (Simple Multi-Attribute Rating Technique Exploiting Ranks) and ELECTRE (Elimination Et Choix Traduisant la Realite). The study was conducted using a quantitative, descriptive-comparative approach, based on Prodeo application data that includes criteria such as income level, number of dependents, health conditions, and case urgency. The results showed that both methods produced objective, transparent priority rankings of prodeo recipients, but differed in computational complexity and efficiency. The SMARTER method had advantages in simplicity and processing speed, while the ELECTRE method excelled at considering dominance among alternatives with high accuracy.
Co-Authors Ellin Herlina Eman Sulaiman Muhammad Erwanto Raden Radian Baratasena Wahyu Ariandi Wilda Adela Pusriyanto Wildan Dwi Putera