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All Journal Jurnal Mirai Management JOIV : International Journal on Informatics Visualization JTERA (Jurnal Teknologi Rekayasa) SEIKO : Journal of Management & Business J-SAKTI (Jurnal Sains Komputer dan Informatika) JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) IJIES (International Journal of Innovation in Enterprise System) Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Jurnal Teknik Informatika (JUTIF) Jurnal Abdimas Imigrasi (JaIM) J-SAKTI (Jurnal Sains Komputer dan Informatika) Universitas Muhammadiyah Yogyakarta Undergraduate Conference Proceeding eProceedings of Engineering Jurnal ilmiah teknologi informasi Asia
Fauzi, Rokhman
Universitas Telkom
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences

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Journal : JOIV : International Journal on Informatics Visualization

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Students Demography Clustering Based on The ICFL Program Using K-Means Algorithm Andreswari, Rachmadita; Fauzi, Rokhman; Izzati, Berlian Maulidya; Widartha, Vandha Pradwiyasma; Pramesti, Dita
JOIV : International Journal on Informatics Visualization Vol 7, No 2 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.2.1916

Abstract

Independent Campus, Freedom to Learn (ICFL) Program is one of the manifestations of student-centered learning. This program can help students reach their full potential by allowing them to pursue their passions and talents. This study aims to see how the segmentation of students participating in the ICFL program is based on demographic data. This research is based on survey responses from students participating in the ICFL program. The method used in this study is input data preparation, pre-processing, data cleansing, and data analysis. The information will be pre-processed before being utilized and evaluated. To help produce better outcomes in data clustering, the K-Means clustering approach is used, which is processed using the Python computer language. The data is clustered using the K-Means clustering approach based on gender characteristics, Grade Point Average (GPA), university entrance selection, ICFL category, and year or semester when participating in ICFL. This study resulted in three clusters with each of its criteria. The dominant gender is found in clusters 2 (100% female) and 3 (100% male). Software Development was the most popular ICFL category among students in cluster 1, accounting for 67%, while Design and Analysis Information Systems was the most popular in clusters 2 and 3. The most dominant ICFL program is found in three clusters. ICFL - Internship program in which at least 40% of participants come from each cluster. The research results are expected to assist stakeholders in evaluating the implementation of the ICFL program.  
Co-Authors Abdul Azis Achmad Fadhli Satriadi Adhitya Nugrahan, Ryan Aditya Fathur Rohman Afif, Fuad Al Agung Prabowo Aji, Koesmoyo Ponco Al Baihaqy, Muhammad Al-Hilal Julianda Andrian, Harry Aripin, Suci Fitri Liana Avon Budiono Avon Budiyono Bahrudin, Muhammad Fadli Bakiatus Sarifah Bangun, Agita Oktavian Berlian Maulidya Izzati Budianto, Farhan Alif Damas Agryan Permana Deden Witarsyah Devalia Mesha Dhuwi Ambar Wati Dita Pramesti Doloksaribu, Lastri M. A Erny Nursetyawati Farhan Alif Budianto Fitriyana Dewi Gabriella Apriliana Greenhard Sitorus I Putu Yogi Nugraha Ida Ayu Gede Anila Sukma Murti Iqbal Santosa Irfan Darmawan Lingga Priyadi Lukman Abdurrahman Luthfi Ramadani Margareta Hardiyanti Maurizka Nabila Chairunnisa Muhammad Syahid Irawan Muhammad Tsany Malik Atha Nur Nabila Cindy Putri Narita Ayu Prahastiwi Nassyfa Alfirda Riani Naufal Al Hakim Novi Riyanti Puspasari Nurhakim, Maiziah Azka Nurul Farikhah Prayudi, Reynaldy Aditya Rachmadita Andreswari Rahmat Mulyana Rd. Rohmat Saeduddin Rd. Rohmat Saedudin Rinaldi Tambunan Rizky Cherthio Annisyah Ryan Adhitya Nugraha Satrio Handityo Silvia Afrima Chandra Sinung Suakanto Sulaimanda Isra Hasibuan Tien Fabrianti Kusumasari tLuthfi Fernanda Asne Vandha Pradwiyasma Widartha Widyatasya Agustika Nurtrisha Wijaya, Natalia Violi Kristena Yuda, Chairiandi Putra Yuli Adam Prasetyo