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All Journal JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Jurnal Ilmiah Sinus International Journal of Economics, Business and Accounting Research (IJEBAR) Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Infotech: Journal of Technology Information Jurnal Pengabdian kepada Masyarakat Nusantara Ittishal Educational Research Journal Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS International Journal of Trends in Mathematics Education Research (IJTMER) Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA)
Kumaratih Sandradewi
STMIK Sinar Nusantara Surakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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PENERAPAN METODE K-MEANS CLUSTERING UNTUK PENGELOMPOKAN SISWA BERDASARKAN PRESTASI DI SD N 03 SANGGANG SUKOHARJO Dika Restyanto; Kumaratih Sandradewi; Retno Tri Vulandari
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 13, No 2 (2025): Jurnal Tikomsin, Vol 13, No.2, Oktober 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v13i2.1007

Abstract

The rapid advancement of data science has made data processing a critical requirement across various fields, including education. Educational institutions are increasingly required to leverage available resources and information systems to enhance competitiveness and support strategic decision-making. Student achievement is generally assessed through both theoretical and practical subjects; however, determining achievement groups (very good, good, sufficient) often lacks efficiency, limiting early identification by homeroom teachers. This study applies the K-Means Clustering method to classify students' achievement levels at SD N Sanggang 03. The objective is to develop a system that assists teachers in grouping students based on performance categories—very good, good, and sufficient—thereby supporting data-driven decision-making in academic evaluation. The system was implemented using PHP and MySQL, with evaluation employing the Modified Partition Coefficient to measure clustering quality.
Metode Naïve Bayes Untuk Prediksi Waktu Produksi Mebel di UD. Wali Barokah Kartasura Sukoharjo Jawa Tengah RM Abdul Dhohir Surya Kusuma; Dwi Remawati; Kumaratih Sandradewi
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 1 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

Wali Barokah is one of the industrial furniture craftsmen (furniture) with the main material using teak wood. The development of the times has made many furniture entrepreneurs appear, making the competition between furniture craftsmen increasingly tight. One way for customers not to be disappointed is that business voters must serve customers according to the specified time when transacting. The attributes that will be used in classifying the production time are the name of the item, the number of orders, the difficulty, the equipment, the number of workers. The method that will be used is the the method Naïve Bayes Classifier. Based on the results of the confusion matrix test on the nave Bayes method of the dataset that has been taken on the object of research, an accuracy rate of 80% is obtained or is included in the category Good. Meanwhile, Precision is 83% and Recall is 88%.
Penerapan Metode Multi-Objective Optimization By Ratio Analysis (MOORA) Pada Sistem Pendukung Keputusan Pemilihan Motor Bekas Terbaik ( Studi Kasus di  Assalam Motor) Sri Hariyati Fitriasih; Nur Rochman; Kumaratih Sandradewi; Bramasto Wiryawan Yudanto; Prihanto Prihanto
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 2 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

Selecting a high-quality used motorcycle is complex because it involves multiple assessment criteria, including price, engine condition, year of manufacture, mileage, and completeness of the vehicle documents. At Assalam Motor, selecting the best used motorcycle remains a manual, subjective process that can lead to suboptimal decisions. Therefore, this study aims to develop a Decision Support System (DSS) to select the best motorcycle for use using the Multi-Objective Optimization by Ratio Analysis (MOORA) method. The MOORA method is used because it can handle multicriteria problems by effectively distinguishing between benefit and cost criteria. The developed system processes data on used motorcycles according to predetermined criteria and produces preference values to rank them. The study results indicate that the developed decision support system can provide recommendations on the best motorcycle to use in an objective, structured manner, thereby assisting Assalam Motor and consumers in making more precise, effective, and rational decisions.
Co-Authors Ady Prabowo, Iwan Afu Ichsan Pradana Ahyar, Khoirul Akhyar, Khoirul Andriani Kusumaningrum Andriani Kusumaningrum Bramasto Wiryawan Yudanto Brigitta Melati Kumarahadi Defan Sumarsono Putra Didik Setiyadi Dika Restyanto Dwi Remawati Endang Retnoningsih Harminingsih Harminingsih harsanto harsanto Khoirudin, Muh. Rosyid Kusumaningrum, Andriani Kusumawijaya, Andriani Kusumaningrum Muhammad Hasbi MUHAMMAD HASBI Nur Rochman paulus harsadi Pribadi Abthal Prihanto Prihanto Retno Tri Vulandari Retno Tri Vulandari RM Abdul Dhohir Surya Kusuma Setiyowati Setiyowati Setiyowati Sri Hariyati Fitriasih Sri Hariyati Fitriasih Sri Hariyati Fitriasih, Sri Hariyati Sri Siswanti Syahbaniar Rofiah Tri Irawati Tri Irawati, Tri Widada, Bebas Widianto, Septian Cahyo Yovita Kinanti Kumarahadi Yustina Retno Wahyu Utami