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All Journal Cakrawala Pendidikan TEKNOLOGI INFORMASI Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Network Engineering Research Operation [NERO] JOURNAL OF SCIENCE AND APPLIED ENGINEERING Industri Inovatif : Jurnal Teknik Industri Infotek : Jurnal Informatika dan Teknologi Sinteks JURNAL PERMADI: PERANCANGAN, MANUFAKTUR, MATERIAL DAN ENERGI Industrial Research Workshop and National Seminar Jurnal Pedagogi Matematika International Journal of Educational Development E-Amal: Jurnal Pengabdian Kepada Masyarakat
Ali Mahmudi
Institut Teknologi Nasional Malang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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The Effectiveness of Blended Learning Examined Critical Thinking and Mathematics Learning Independence for High School Students Aswar Aswar; Ali Mahmudi
International Journal of Educational Development Vol. 2 No. 1 (2025): International Journal of Educational Development
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijed.v2i1.167

Abstract

This study was aimed to describe: (1) the effectiveness of learning with a blended learning model using scientific (2) the effectiveness of scientific approach; and (3) the difference in the effectiveness of learning with a blended learning model using scientific approach and learning using scientific approach in terms of critical thinking, and learning independence of mathematics students in high school. The research type is quasi-experiment. The population was all 11th grade students of SMA in semester II of 2024/2025. The sample was established randomly consisting of class XI MIA 2 as the experiment class and XI MIA 1 as the control class. The data collection method uses research instruments in the form of a Learning Independence Test of 15 multiple choice questions, a Critical Thinking Test of 4 descriptive questions, and a Learning Independence Questionnaire of 20 statement, administered as pretests and posttests. To assess the effectiveness of blended learning with a scientific approach and the scientific approach alone, a one-sample mean vector test was conducted, followed by a one-sample t-test. Differences in effectiveness were analyzed using an independent two-sample mean vector test (T² Hotelling). If analysis revealed significant differences between the two classes, an independent sample t-test for comparison was conducted. The results showed that: (1) learning with blended learning model using scientific approach is effective in terms of critical thinking, and independence of learning mathematics of high school students; (2) learning using scientific approach is effective in terms of critical thinking, and independence of learning mathematics of high school students; and (3) learning with blended learning model using scientific approach is more effective than learning using scientific approach in terms of critical thinking, and independence of learning mathematics of high school students.
Klasterisasi Daerah Rawan Bencana Alam Menggunakan Algoritma K-Means Michael Kevin Adinata; Ali Mahmudi; Yosep Agus Pranoto
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28196

Abstract

East Java is a province with high vulnerability to disasters, such as floods, landslides, earthquakes, and strong winds, which have an impact on material losses, casualties, and deterioration of socio-economic conditions, especially in rural areas. The lack of mitigation strategies and resource allocation worsens disaster management. This study aims to classify disaster data using the K-Means algorithm to overcome the limitations of descriptive analysis conducted by BPBD East Java. The data used includes 1125 disaster events with variable disaster frequency, total damage, and the number of casualties per sub-district in East Java districts and cities during 2021-2022, obtained from the official website of the East Java BPBD. The K-Means algorithm was chosen because of its efficiency in managing big data and its flexibility in cluster formation. The results of the study show that in 2021, the region in East Java is divided into three clusters based on the level of disaster risk: Cluster 1 (low risk) with 192 sub-districts, Cluster 2 (medium risk) with 35 sub-districts, and Cluster 3 (high risk) with 10 sub-districts. In 2022, significant changes were seen in Cluster 1, which includes 462 sub-districts, Cluster 2 with 20 sub-districts, and Cluster 3 with 11 sub-districts. The results of this study are expected to support the government's decision-making priorities, especially in disaster management and resource allocation based on risk levels
Co-Authors Achmat Eko Prasetio Andre Afni A F Anggiana Nayang Gita Anisa Safitri Arviezabil Yusuf Aswar Aswar Briyan N.S. Budi Setiadi Desy Eka Kusyanti Ellysa Nursanti Fauzan Masykur Ferida Dwi Prasetyoningrum Fuad Achmadi Hanifah Aabidah Fakhrunnisaa Haryadi Hilmi Dhiya Ulhaq Jasmani, Jasmani JUNIANTO JUNIANTO Kadek Dinda Oktavianty LISA FEBRIANTI Michael Kevin Adinata Moh. Miftakhur Rokhman Nyoman Krismonda W Putri Solekhah Qorina Ulil Azmi Redi Tian Kustiawan Rizal Rahman Sandy Nataly Sentot Achmadi setiawan, Dibyo Sibut Sibut Silvina Ambarwati Sri Wulan R Sugianto Sumanto Sumanto Sumanto Sumanto Sumanto Syahrul Fikri I M Utari Sumarmo Yosep Agus Pranoto Yudita Rasma Aminati