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All Journal Journal of Mathematics: Theory and Applications JAMAIKA: Jurnal Abdi Masyarakat
Sauki
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Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics

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Pelabelan -k total tak reguler sisi para graf tas dan graf pura Meryta Febrilian Fatimah -; Sauki; Eka Putri Ayu Lestari
Journal of Mathematics: Theory and Applications Volume 2, Nomor 1, 2020
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (440.579 KB) | DOI: 10.31605/jomta.v2i1.783

Abstract

Given that G is a simple and connected graph with a set of points and sides, that is, denoted and respectively. The labeling –k total of irregular edges of graph G is that each edge has a different weight. The smallest k value contained in the labeling -k total irregular edges is called the irregular strength of the total side of G which is denoted by the test (G). In this paper, the author examines the irregular strength of the total side of the bag graph and the temple graph. The bag graph is denoted by Ts (n) with the test value and the temple graph is denoted by Pu (n) with the test value
PELATIHAN DATA ANALYST SEJAK DINI: ANALISIS DATA DENGAN METODE REGRESI LINEAR BERGANDA UNTUK SISWA SMA NEGERI 3 DEPOK Hidriansjah, Iqri Sulizar Hidriansjah; Ahmad Azzam Al Asyraf; Yogi Laksono; Denny Suryadharma; Sauki; Didin Maulana
JAMAIKA: JURNAL ABDI MASYARAKAT Vol 7 No 1 (2026): FEBRUARI
Publisher : Universitas Pamulang

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Abstract

This community service activity was motivated by the low level of data literacy among senior high school students and the limited capacity of teachers to integrate data analysis into classroom learning, despite the growing demand for data processing and analytical skills in the digital era. The purpose of this program was to introduce the concept of a data analyst to students at an early stage through hands-on data analysis practice using the multiple linear regression method, to enhance teachers’ capacity in implementing data-based learning, and to encourage the use of school data to improve educational quality. The implementation method employed a training and mentoring approach in the form of a one-day workshop, which included the preparation of training modules and datasets, delivery of theoretical materials, demonstration of data processing software, group-based practical sessions, and evaluation through observation and questionnaires. The results indicated an improvement in students’ understanding of data analysis concepts and their technical skills in processing data, as reflected by the majority of participants being categorized as highly competent and proficient. The level of satisfaction among participants and the school was also high. In conclusion, data analysis training using the multiple linear regression method was effective in enhancing data literacy and analytical skills of senior high school students and is relevant for sustainable implementation in the school environment. Keywords: Data literacy, multiple linear regression, data analysis training, senior high school students, data-based learning
Co-Authors Ahmad Azzam Al Asyraf Denny Suryadharma Didin Maulana Eka Putri Ayu Lestari Hidriansjah, Iqri Sulizar Hidriansjah Meryta Febrilian Fatimah Yogi Laksono