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Rohani
Prodi Teknologi Informasi, Fakultas Sains dan Teknologi, Universitas Labuhanbatu
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Other

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Rancang Alat Pengukur Tinggi Badan Dengan Output Suara Berbasis Arduino Uno Yandri Lesmana Yandri Lesmana; Iwan Purnama; Rohani
Bulletin of Information Technology (BIT) Vol 4 No 2: Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i2.697

Abstract

In every health test, of course, there is a measurement of height, so that a person's height can be measured, starting from the soles of the feet to the head, the height measuring device used is still manual, which uses a meter and the measurement process in done by someone to measure the height of someone who wants to know his height so that the results of these measurements require more time when the number of people measured is more than 20 people in other words the manual height meter is less effective when used during the recruitment period of new employees started. With these constraints, the authors created a tool that can measure height automatically by utilizing an Ultrasonic sensor as a measuring tool and an Arduino Uno microcontroller as a control center by displaying measurement results on a 16x2 LCD screen. In this result it can replace the manual height measuring device so that it helps the activities of workers in carrying out their noble duties to provide health services to the general public.
Clustering Elementary School Students’ Academic Achievement Profiles Using K-Means, the Elbow Method, and Silhouette Evaluation Irmayanti; Hamni Fadlilah Nasution; Rohani
Information Technology Education Journal Vol. 5, No. 3, August (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i3.13453

Abstract

Purpose – This study examined relative academic-score profiles among sixth-grade students at SD Negeri 05 Bilah Barat using Educational Data Mining and K-Means clustering. It compared candidate cluster solutions using the Elbow Method, Silhouette evaluation, repeated-run stability, and educational interpretability. Design/methodology/approach – First-semester report-card scores from 50 students across Civic Education, Indonesian Language, Mathematics, Natural Sciences, and Social Sciences were Min–Max normalized and processed through one Python-based pipeline. K-Means used k-means++ initialization, 100 initializations, a fixed random seed of 42, a maximum of 300 iterations, Euclidean distance, and the Lloyd algorithm. Candidate solutions were evaluated using WCSS, overall and cluster-specific Silhouette Scores, the Adjusted Rand Index, and PCA visualization. Findings – K = 4 produced the highest overall Silhouette Score (0.4606) and the highest mean repeated-run ARI (0.9619), compared with K = 3 and K = 5. The selected solution comprised higher-score (n = 16), intermediate balanced (n = 24), mixed subject (n = 7), and lower-score profiles (n = 3). The first two principal components explained 87.87% of the variance. Research implications/limitations – The profiles are preliminary decision-support information and should not be used as formal classifications or as the sole basis for consequential educational decisions. Originality/value – The study provides a transparent and reproducible comparison of candidate solutions, including stability testing, inverse-transformed centroids, and cautious educational interpretation.
Co-Authors Hamni Fadlilah Nasution Indah Fitria Rahma Irmayanti Iwan Purnama Laili Habibah Pasaribu Lily Rohanita Hasibuan lubis, ilham sahdi Marzuki Ahmad Mei Wita Sari Muhammad Halmi Dar Nasution, Dwi Putria Natalia Elisabet Marbun Pane, Rahmadani Rahma Muti’ah Rahmi Nazliah Rudi Ardiansyah Siregar Sitorus, Sahat Parulian Suriyani Suriyani Suriyani Suriyani Yandri Lesmana Yandri Lesmana