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All Journal Bulletin of Information Technology (BIT) Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research
Azizah Harahap, Nur
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences Other

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Meningkatkan Hasil Belajar Operasi Hitung Bilangan Pecahan dengan Kartu Bilangan Siswa Kelas VI SDN 3 Mangliawan Kecamatan Pakis Kabupaten Malang Wardani Harahap, Annisa; Hasanah Hutagalung, Rodiah; Azizah Harahap, Nur; Sofiyah, Khotna
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 2 No. 1 (2025): NOVEMBER 2024 - JANUARI 2025
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v2i1.2581

Abstract

Improving mathematics learning outcomes is one of the important goals that students are expected to achieve in mathematics learning, but in reality most students still have difficulty understanding the fractional arithmetic operations they are learning. This study aims to improve the learning outcomes of fractional arithmetic operations through number cards. The type of research is classroom action research with all grade VI students of SDN 3 Mangliawan, Pakis Kabutane District, Malang, 2019/2020 academic year as research subjects. This research is said to be successful if it meets the success indicators, namely: (1) the average value of students' fractional arithmetic learning outcomes increases and meets the minimum completion criteria of 75; and (2) the percentage of students who complete it increases and reaches ≥ 75% of the total number of students. The results of the study showed that: (1) in Cycle I the average assignment score was 69.19 and the percentage of students who completed it was 45.16, (2) while in Cycle II the average assignment score was 84.68 and the percentage of students who completed it was 90.32, and (3) there was an increase in the average assignment score from Cycle I to Cycle II of 15.49 or 22.39% and there was an increase in the test score from Cycle I to Cycle II of 14.52 or 21.80%. The conclusion obtained is that the application of the number card method can improve the learning outcomes of fractional number arithmetic operations of Class VI students of SDN 3 Mangliawan, Pakis District, Malang Regency in the 2019/2020 academic year. For teachers who teach Mathematics in elementary schools, it is necessary to use learning media that are appropriate to the material being discussed, so that the learning atmosphere for Mathematics is not in a tense atmosphere but instead in a pleasant atmosphere.
Analysis of Inpatient Data Using Cluster Analysis on Simulation Dataset Putera Utama Siahaan , Andysah; Azizah Harahap, Nur; Yuni Simanullang, Rahma; Khairunnisa; Wanny, Puspita; Utari
Bulletin of Information Technology (BIT) Vol 6 No 1: Maret 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i1.1830

Abstract

This study aims to analyze inpatient data using the K-Means Clustering method on a simulated dataset. The dataset includes various patient-related attributes such as age, billing amount, length of stay, medical condition, and type of admission. Several preprocessing steps were applied, including date conversion, duration calculation, numerical normalization, and one-hot encoding for categorical attributes. The Elbow Method was used to determine the optimal number of clusters, and clustering quality was evaluated using both the Silhouette Score and Davies-Bouldin Index. The analysis results show that the patients can be segmented into three major clusters, each exhibiting distinct characteristics—for example, younger patients with short and low-cost stays, and elderly patients with prolonged and more expensive hospitalizations. The resulting Silhouette Score of 0.14 and Davies-Bouldin Index of 1.74 reflect a moderate clustering performance, yet the model remains informative and meaningful. These clusters provide actionable insights that hospitals can use to optimize their service strategies, improve resource allocation, and enhance operational efficiency. Moreover, the study illustrates the practical application of unsupervised learning techniques in healthcare settings, contributing to data-driven decision-making practices and offering a foundation for further research into patient segmentation.
Co-Authors Andysah Putera Utama Siahaan Hasanah Hutagalung, Rodiah Khairunnisa SOFIYAH, KHOTNA Utari Wanny, Puspita Wardani Harahap, Annisa Yuni Simanullang, Rahma