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All Journal Journal of Mathematics Instruction, Social Research and Opinion Journal of General Education and Humanities INFOKOM
Raden Radian Baratasena
Sekolah Tinggi Ilmu Komputer Poltek Cirebon
Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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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.
Monte Carlo Method for Predicting Educational Service Revenue at Each Level of Education at PT. Kanaka Belajar Raden Radian Baratasena; Mukidin Mukidin; Kosim Kosim; Adinda Rainah Lova Ariatin
Journal of Mathematics Instruction, Social Research and Opinion Vol. 4 No. 3 (2025): September
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/misro.v4i3.497

Abstract

The increasing demand for education services in Indonesia has significantly influenced the growth of private tutoring businesses. PT Kanaka Belajar is a company that provides private tutoring services, yet it continues to face challenges related to revenue uncertainty and fluctuating student enrollment, which can affect financial management and increase the risk of business bankruptcy. Therefore, a reliable and accurate revenue prediction system is necessary at each level of education to estimate income for the coming year. The Monte Carlo method is a computational algorithm that uses repeated random sampling to obtain numerical results. This study applied the Monte Carlo method to forecast revenue based on historical data from 2021 to 2023. This research aims to develop a web-based revenue prediction system for educational services at different levels by implementing the Monte Carlo simulation. The results demonstrated that the model provided high prediction accuracy for private tutoring income at the elementary school level in 2023, with an MAPE value of 1.57%. The system predicted 314 tutoring sessions, while the data showed 319 sessions, resulting in a minimal difference of 5 sessions. These findings suggest that the Monte Carlo method effectively forecasts educational service revenue, where smaller percentage error values indicate higher accuracy, while larger errors suggest lower forecast reliability.
METODE K-MEDOIDS UNTUK CLUSTERING PERPANJANG KONTRAK KERJA KARYAWAN Raden Radian Baratasena; Fajriatus Sholihah; Ilman Kadori; M. Rizki Bayu Herlambang
INFOKOM Vol. 19 No. 1 (2026): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perpanjangan kontrak kerja merupakan salah satu keputusan strategis dalam manajemen sumber daya manusia yang memerlukan evaluasi kinerja karyawan secara objektif. Proses ini sering kali menghadapi kendala seperti bias penilaian dan kurangnya metode yang terstandarisasi. Penelitian ini bertujuan untuk menerapkan algoritma K-Medoids dalam clustering perpanjangan kontrak kerja pada PT. Indomarco Prismatama. Algoritma K-Medoids merupakan metode clustering yang menggunakan objek nyata sebagai pusat cluster, sehingga lebih tahan terhadap outlier dibandingkan algoritma K-Means. Dalam penelitian ini, data karyawan dianalisis berdasarkan indikator kinerja seperti kehadiran, produktivitas, dan evaluasi dari atasan. Data tersebut dikelompokkan menggunakan K-Medoids untuk menentukan karyawan yang layak diperpanjang kontraknya. Hasil penelitian menunjukkan bahwa algoritma K-Medoids mampu cluster karyawan dengan akurasi tinggi, menghasilkan cluster yang jelas, dan mendukung proses pengambilan keputusan yang objektif. Implementasi metode ini dapat membantu PT. Indomarco Prismatama dalam mengelola sumber daya manusia secara efisien dan meningkatkan kualitas keputusan perpanjangan kontrak kerja.
METODE COMPLEX PROPORTIONAL ASSESSMENT (COPRAS) UNTUK PENENTUAN KARYAWAN TERBAIK PADA UPTD PUSKESMAS PLERED Sukmo Banyu Jogo; Raden Radian Baratasena; Igen Meyasha; Fitrianti
INFOKOM Vol. 19 No. 2 (2026): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sistem pendukung pengambilan keputusan adalah suatu sistem yang mampu menyediakan fungsi pengelolaan data berdasarkan suatu model tertentu, sehingga user dari sistem tersebut dapat memilih alternatif keputusan yang terbaik. Peneletian ini bertujuan untuk menerapkan metode Complex Proportional Assessment kedalam sistem pendukung keputusan untuk menentukan karyawan terbaik pada UPTD Puskesmas Plered. SPPK ini menggunakan metode Complex Proportional Assessment (COPRAS), metode ini merupakan salah satu metode dalam kasus pengambilan keputusan. Form penilaian kinerja karyawan merupakan sebuah dokumen tertulis yang mana digunakan untuk mengisi data-data kinerja selama satu periode penilaian. Laporan evaluasi kinerja karyawan adalah kumpulan informasi yang disusun dan diinformasikan sebagai hasil keluaran data karyawan terbaik. Metode ini telah berhasil menentukan karyawan terbaik untuk periode 2020 dari hasil perangkingan yang diperoleh, alternatif ke-2 memperoleh hasil tertinggi.
Co-Authors Adinda Rainah Lova Ariatin Fajriatus Sholihah Fitrianti Igen Meyasha Ilman Kadori Kosim M. Rizki Bayu Herlambang Mukidin Mukidin Sukmo Banyu Jogo Susi Widyastuti Wahyu Ariandi Wildan Dwi Putera