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All Journal Jurnal Sains Student Research Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa
Maulia Fadila
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Earth & Planetary Sciences Mathematics Other

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ANALISIS KEMAMPUAN BERPIKIR KOMPUTASI MENGGUNAKAN SPEQ MATHEMATICS PADA SISWA SMP/TSANAWIYAH Maulia Fadila; Yahfizham Yahfizham
JOURNAL SAINS STUDENT RESEARCH Vol. 3 No. 3 (2025): Jurnal Sains Student Research (JSSR) JUNI
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v3i3.4577

Abstract

The purpose of this study was to analyze the computational thinking skills of junior high school students in solving mathematics problems using the SpeQ Mathematics application. This study applies a qualitative approach with a descriptive design. Data were obtained through student journals and observations of student interactions with the application. The data analysis process was carried out using the Dedoose application to code and evaluate qualitative data based on computational thinking indicators, namely decomposition, pattern recognition, abstraction, and algorithms. The results of the analysis showed that the majority of students showed good abilities in terms of decomposition and pattern recognition, but faced challenges in the aspects of abstraction and algorithm construction. The use of the SpeQ Mathematics application has proven effective in helping students understand mathematical concepts with a more visual and interactive approach. Overall, this study concludes that the SpeQ Mathematics application can improve students' computational thinking skills, although additional practice is needed to develop abstraction and algorithm creation skills.
Penerapan Program Linier untuk Menyelesaikan Masalah Alokasi Sumber Daya Pada Persoalan Penugasan Bayhaqi Yasri; Fauziah Mawaddah Harefa; Maulia Fadila; Nazira Ananda; Siti Salamah Br Ginting
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 4 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v3i4.620

Abstract

Efficient resource allocation is a major challenge in various sectors, especially when faced with limitations in quantity, time, and cost. This study aims to examine the application of linear programming as an optimization method in solving assignment problems, where a number of resources must be optimally allocated to a number of specific tasks. Through a literature study approach, this study examines various relevant previous study results, especially in the Indonesian context. The results of the study indicate that linear programming is able to improve operational efficiency, reduce costs, and produce a more balanced task distribution. However, this model has limitations in dealing with non-linear conditions and data uncertainty, so integration with other methods such as fuzzy logic or genetic algorithms is needed. This study is expected to broaden the understanding of the benefits of linear programming and encourage its wider application in quantitative-based decision making.
Co-Authors Bayhaqi Yasri Fauziah Mawaddah Harefa Nazira Ananda Siti Salamah Br Ginting yahfizham yahfizham