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All Journal AKSIOMA: Jurnal Program Studi Pendidikan Matematika JIP: Jurnal Ilmiah PGMI ELSE (Elementary School Education Journal) : Jurnal Pendidikan dan Pembelajaran Sekolah Dasar Journal of Science Education Research Jurnal Gemaedu International Journal of Trends in Mathematics Education Research (IJTMER) Journal An-Nafs: Kajian Penelitian Psikologi Jurnal Publikasi Ilmu Komputer dan Multimedia
Anggun Pastika Sandi
Universitas Nahdlatul Ulama Indonesia
Computer Science & IT Education Environmental Science Mathematics Social Sciences Other

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IMPLEMENTASI DATA MINING SEBAGAI PENENTU PERSEDIAAN PRODUK DENGAN ALGORITMA FP-GROWTH PADA DATA PENJUALAN SINARMART Anggun Pastika Sandi; Vina Widya Ningsih
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 1 No. 2 (2022): Mei: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v1i2.343

Abstract

Persediaan produk menjadi salah satu penentu keberhasilan dalam penjualan pada sebuah toko. Berdasarkan studi kasus yang terjadi di Sinarmart, persediaan produk dilakukan ketika produk telah habis. Dengan menggunakan data mining algoritma FP-Growth, diharapkan dapat membantu dalam mengambil keputusan kedepannya untuk menentukan persediaan produk. Penelitian ini menggunakan penerapan algoritma FP-Growth melalui aplikasi Rapidminer 9.10 dengan batasan minimum support ≥ 65% dan batasan minimum confidence ≥ 80%. Data yang digunakan adalah penjualan produk selama bulan agustus 2021 sebanyak 31 transaksi berasal dari 13 kategori produk. Hasil penelitian menunjukkan penjualan produk minuman, susu, snack, permen, ice cream, dan rokok memiliki nilai support kategori tinggi sebesar 96,77% dan penjualan produk perlengkapan dewasa dan anak-anak serta obat nyamuk memiliki nilai support kategori dibawah minimum support.
Exploring Student Engagement in University through Lecturer Competence: A Tripod 7Cs Framework Devie Yundianto; Muhammad Khatami; Isna Mutmainah; Anggun Pastika Sandi; Siti Nabilah; Febi Mutiara Sani
Journal An-Nafs: Kajian Penelitian Psikologi Vol. 10 No. 2 (2025): Journal An-Nafs: Kajian Penelitian Psikologi
Publisher : Universitas Islam Tribakti Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/psi.v10i2.8196

Abstract

This study aims to empirically examine and model the influence of lecturer competence on student engagement in higher education, operationalized through the Tripod 7Cs framework, at Universitas Nahdlatul Ulama Indonesia. The 7Cs framework consists of seven instructional competencies—Care, Confer, Captivate, Clarify, Consolidate, Challenge, and Classroom Management—with student engagement conceptualized across three dimensions: Vigor, Absorption, and Dedication. Addressing the limited application of the Tripod 7Cs framework in higher education and non-Western contexts, this study investigates both the simultaneous and differential effects of the seven competencies on distinct engagement components. Participants consisted of 129 undergraduate students (N = 129), including 43 men (33.33%) and 86 women (66.67%), selected using convenience sampling. Data were collected via an online questionnaire. Lecturer competence was measured using the Tripod 7Cs Instrument, while student engagement was assessed using the Utrecht Work Engagement Scale for Students (UWES-S). Rasch measurement modeling was employed to ensure construct validity and reliability prior to hypothesis testing. Multiple regression analyses were conducted to examine the predictive effects of the 7Cs dimensions on each engagement component. In addition, a thematic analysis of open-ended responses was performed to triangulate the quantitative findings and provide contextual insight into students’ perceptions of effective teaching practices.The results revealed distinct and non-uniform relationships between lecturer competencies and engagement dimensions. The Captivate dimension emerged as a significant predictor of Vigor (β = 0.260, p = .044) and the strongest predictor of Absorption (β = 0.429, p < .001), indicating the central role of engaging instructional delivery in fostering energy and deep learning immersion. The Care dimension significantly predicted Vigor (β = 0.231, p = .040) and Dedication (β = 0.253, p = .020), highlighting the importance of relational and emotional support in sustaining students’ commitment to learning. Conversely, Clarify did not demonstrate a direct statistical effect on engagement, although qualitative findings underscored its role as a foundational instructional prerequisite. This study contributes novel empirical evidence by extending the Tripod 7Cs framework to higher education, demonstrating its applicability in an Indonesian, non-Western context, and revealing the differential predictive power of specific lecturer competencies across engagement dimensions. The findings offer actionable implications for faculty development, emphasizing that effective teaching in higher education requires not only instructional clarity, but also engaging delivery and caring lecturer–student relationships to foster meaningful and sustained student engagement.
Co-Authors Ahmad Fahrijal Ahmad Fahrijal Arita Marini Asna Lutfa Asna Lutfa Asna Lutfa Devie Yundianto Febi Mutiara Sani Isna Mutmainah Khatami, Muhammad Linda Zakiah Lutfa, Asna Muhammad Khatami Mutiara Sani, Febi Mutmainah, Isna Nabilah, Siti P. Astuti Siti Nabilah Utami, Amaira Vina Widya Ningsih