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All Journal Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Sains Informatika Terapan (JSIT)
Kemala, Diana
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Data Mining Dalam Pengelompokkan Intelligence Quotient (IQ) Pada Anak Reterdasi Mental Dengan Menggunakan Algoritma K-Means gushelmi, gushelmi; Kemala, Diana; Afdhal, Muhammad
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2447

Abstract

Traditional methods for classifying children with mental retardation based on fixed IQ score thresholds are often inadequate in capturing the diversity of intellectual abilities. This study proposes the use of data mining techniques, specifically the K-Means clustering algorithm, to group Intelligence Quotient (IQ) data derived from psychological assessments. The research methodology consists of data collection, data preprocessing, selection of the optimal number of clusters, and implementation of the K-Means algorithm. The experimental results demonstrate that the proposed approach can successfully cluster IQ data into multiple groups representing distinct levels of intellectual functioning. The resulting clusters can be utilized as a decision-support mechanism to assist educators and practitioners in selecting appropriate instructional methods and intervention strategies in the field of special education.
PROYEK SISTEM ABSENSI FINGERPRINT BERBASIS IoT DENGAN RASPBERRY Pi Kemala, Diana; Eriwandi; Munadi; Permata, Dinda; Irvandori
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i1.964

Abstract

Attendance recording is an important administrative activity in learning processes at TPQ/TQA Masjid Ihsan Padang. Currently, the attendance system is still conducted manually using attendance books, which often leads to data inaccuracies, loss of records, and inefficiency in reporting. This study aims to develop a student attendance application using fingerprint technology to improve the accuracy, security, and efficiency of attendance management. The research method used is Research and Development (R&D), which includes stages of needs analysis, system design, application development, and system testing. The results of this study indicate that the fingerprint-based attendance application is able to minimize recording errors, prevent attendance fraud, and facilitate faster and more accurate attendance reporting. Therefore, the developed system can be effectively implemented to support administrative activities at TPQ/TQA Masjid Ihsan Padang
Co-Authors Afdhal, Muhammad eriwandi Gushelmi, Gushelmi Irvandori Munadi Permata, Dinda