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All Journal Jurnal Teknologi Industri Pertanian Seminar Nasional Informatika (SEMNASIF) JOIN (Jurnal Online Informatika) Abdimas Pedagogi: Jurnal Ilmiah Pengabdian kepada Masyarakat JOIV : International Journal on Informatics Visualization Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis Jurnal Teknik Informatika STMIK Antar Bangsa JITK (Jurnal Ilmu Pengetahuan dan Komputer) J I M P - Jurnal Informatika Merdeka Pasuruan Applied Information System and Management Jurnal Teknoinfo Energi & Kelistrikan Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika CSRID (Computer Science Research and Its Development Journal) Aisyah Journal of Informatics and Electrical Engineering Jurnal Sistem informasi dan informatika (SIMIKA) Journal of Innovation and Future Technology (IFTECH) TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Sistem Informasi Jurnal Sains Indonesia Bulletin of Computer Science Research Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Mandiri IT J-Intech (Journal of Information and Technology) Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Sains Informatika Terapan (JSIT) Jurnal Komputer dan Teknologi (JUKOMTEK) Bulletin of Artificial Intelligence Riau Jurnal Teknik Informatika
Sumanto, Sumanto
Universitas Bina Sarana Informatika
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Journal : Riau Jurnal Teknik Informatika

 1 
Pengelompokkan Provinsi Berdasarkan Kelayakan Ruang Kelas dan Tenaga Kependidikan Sekolah Dasar Menggunakan Algoritma K-Means: Analisi Data Periode 2023-2024 Wardani, Maidy Tri; Ramadhani, Varla Octavia; Anggreani, Namira; Sumanto; Kuswanto, Andi Diah
Riau Jurnal Teknik Informatika Vol. 4 No. 2 (2025): Juli 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i2.3389

Abstract

Abstract This study analyzes the disparity in primary education quality across Indonesian regions using K-Means clustering methodology to group 38 provinces based on classroom adequacy indicators and teaching staff availability for the 2023-2024 period. Adopting the CRISP-DM methodology and utilizing datasets from the Ministry of Education, Culture, Research, and Technology, this research reveals significant educational gaps across Indonesian regions. The analysis results show three clusters reflecting educational conditions: Cluster 1 (low category) encompasses 23 provinces (67.6%) dominated by Eastern Indonesia regions such as Papua, Maluku, and other remote areas; Cluster 2 (medium category) consists of 13 provinces (38.2%) including South Sumatra, Riau, and DKI Jakarta; and Cluster 3 (high category) contains only 3 provinces: East Java, West Java, and Central Java. Clustering validity is confirmed through silhouette coefficient with the highest value of 0.795 for Cluster 2. These findings identify structural inequality between Java and outer Java regions, providing empirical foundation for the government to design more targeted educational equity policies, with priority on infrastructure rehabilitation and teaching staff augmentation in disadvantaged areas to achieve national educational justice. The research demonstrates that educational quality distribution in Indonesia remains heavily concentrated in Java, while remote and eastern regions face significant challenges in both physical infrastructure and human resources, requiring comprehensive government intervention strategies for sustainable educational development. Keywords: K-Means clustering, primary education, regional disparity, educational infrastructure, teaching personnel.
Analisis Klaster Pasien Diabetes Menggunakan Algoritma K-Means Berdasarkan Usia, Kadar Glukosa, dan Tekanan Darah Rizqi Ramadhani, Muhammad; Naufal Hermawan, Rezan; Fajrian, Ihsan; Aulia Rachmat, Daffa; Sumanto; `Diah Kuswanto, Andi
Riau Jurnal Teknik Informatika Vol. 4 No. 2 (2025): Juli 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i2.3435

Abstract

Diabetes melitus adalah penyakit kronis yang terjadi akibat gangguan produksi atau pemanfaatan insulin, menyebabkan kadar gula darah tinggi. Penyakit ini dapat memicu komplikasi serius seperti jantung, ginjal, dan kerusakan saraf. Jumlah penderita diabetes terus meningkat, termasuk di Indonesia, yang dipengaruhi oleh faktor seperti genetik, gaya hidup tidak sehat, dan pola makan buruk. Untuk mendeteksi risiko diabetes lebih dini, teknologi data mining dapat dimanfaatkan. Penelitian ini menggunakan algoritma K-Means Clustering untuk menganalisis data kesehatan seperti kadar glukosa darah, tekanan darah, dan usia. Algoritma ini mengelompokkan individu ke dalam beberapa klaster berdasarkan kesamaan karakteristik kesehatan, guna mengidentifikasi kelompok risiko diabetes. Hasil analisis ini diharapkan dapat membantu tenaga medis dalam merancang intervensi dan rekomendasi pencegahan yang lebih tepat sasaran. Pendekatan ini memberikan solusi efisien dalam pengelolaan data besar di bidang kesehatan dan mendukung upaya penanggulangan diabetes secara lebih sistematis di Indonesia
Co-Authors Ade Budiman, Ade Ade Christian Ade Christian Ade Christian, Ade Adi Supriyatna Aditia Yudhistira Agung Wibowo Agus Buono Ahmad Habibullah Ahmad Yani ahmad yani Ahmad Yani , Ahmad Yani Andri Amico Anggreani, Namira Apip Supiandi Ari Sulistiyawati Aulia Rachmat, Daffa Azkia, Farah Diba Bib Paruhum Silalahi Bismo Raharjo, Yohanes Aryo Budi Santoso Budiman, Ade Surya Christian , Ade Damayanti Damayanti Dewi, Revinta Arrova Dyani Kalyana Mitta Eka Dyah Setyaningsih Eka Putri Alvi Syahrina Elisabeth Sri Hendrastuti Fahrian Fajar Akbar Fajrian, Ihsan Ganda Wijaya Ganda Wijaya, Ganda Hafis Nurdin Harianto Harianto Hariyanto HARIYANTO HARIYANTO Hartanti Hartanti Hidayat, Manarul Hilmy Ibrahim, Farras Indah Purwandani Indra Chaidir, Indra Indriani , Karlena Indriyanti, Zahra Kiky Dwi Insani Abdi Bangsa Jumadi, Yakobus Linus Karlena Indriani Karlisa Priandana Kotjek, Rafie Kuswanto, Andi Diah Laura Gabriel da Silva Lia Mazia, Lia Lita Sari Marita Mantriwira, Daniel Marundrury, Aberahamo Onoma Megawaty, Dyah Ayu Mochamad Wahyudi Muhammad Waqas Arshad Naufal Hermawan, Rezan Nur Rachmat Nugraha Nurfia Oktaviani Syamsiah Oprasto, Raditya Rimbawan Paduloh Paduloh Pasaribu, A. Ferico Octaviansyah Permata, Permata Prasetyo, Romadhan Edy Pribadi, Denny Pricillia Pujiastuti, Lise Ramadani, Achmes Dade Ramadhani, Varla Octavia Rani, Maulidina Cahaya Rasendriya, Rafi Ratiyah* Ratiyah Rifda Ilahy Rosihan Riska Aryanti Rizqi Ramadhani, Muhammad Ruhul Amin Ruhul Amin Ruhul Amin, Ruhul Ruli , Ahmad Rais Rumidjan Rumidjan, Rumidjan Rusda Wajhillah Ryan Randy Suryono Sanriomi Sintaro Setiawan, Dandi Setiawansyah Setiawansyah Sri Sugiharti SUKAMTI . Sumarna Sumarna Sumarna Sumarna Tri Widian Ratnasari Ulum, Faruk Ummu Radiyah, Ummu Vera Agustina Yanti Wahyudi, Agung Deni Wang, Junhai Wardani, Maidy Tri Wijaya, Filzah Yundari, Yundari Yuri Rahmanto `Diah Kuswanto, Andi