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Gita Indah Marthasari
Universitas Muhammadiyah Malang
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering 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 Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Journal : fountain of informatics journal

 1 
Implementasi Teknik Data Mining untuk Evaluasi Kinerja Mahasiswa Berdasarkan Data Akademik Gita Indah Marthasari
Fountain of Informatics Journal Vol 2, No 2 (2017): November
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/fij.v2i2.1216

Abstract

One indicator of college efficiency is the study period of the students. It is important for university managers to improve the ratio of students who graduate on time. This research aims to analyze the characteristics that affect the study period of students from academic data. The methods used are association rule mining (ARM) and clustering. We propose a framework to analyze academic data using ARM dan clustering method. ARM method is a method to find association rules that meet minimum support and minimum confidence. The algorithm used is Apriori. While clustering using Simple Expectation-Maximization (EM-clustering) algorithm. Simple EM is a model-based algorithm that searches for maximum likelihood estimation in the probability model. The variables analyzed were student achievement index, province of the students, and type of high school. The analysis is done using WEKA. Research begins with the collection of data from the primary source of the Biro Administrasi Akademik (BAA) Universitas Muhammadiyah Malang (UMM). Then, we do the data cleaning and transformation. Analyzing process is done in two step. First, do a rule search using Apriori algorithm. The regulated parameters are the minimum support and minimum confidence value. Second, we use Simple EM algorithm for the clustering process. The experiments were conducted to find the clustering result with the largest log likelihood value. Based on the experiment, the method used successfully describes the characteristics based on the study period.
Co-Authors Abu Hanifah Adam Novrisa Adam Novrisal Agus Eko Minarno Akbi, Denar Regata Aldiensyah Alfin Lutfi Sidiq Amelia Deastu Amelia Dwi Deastu Amelia Dwi Deastu Aminudin Aminudin AMINUDIN Aminudin, Aminudin Anastasia Lidya Maukar Andjani Chaerun Nisha Anggraini, Syadza Ani Tri Wahyuningsih Anik Vega Vitianingsih Arif Rahmadhani Arif Rahmadhani Basuki, Setio Bayu Agung Setiawan Belli Kafilla Gani Belli Kafilla Gani Briansyah Setyo Wiyono Cahyanto, Mochammad Andre Chita Nauly Harahap Christian Sri Kusuma Aditya Christian Sri Kusuma Aditya Christian Sri Kusuma Aditya Darfian Ardiansyah Diah Risqiwati Didih Rizki Chandranegara Dwi Kurnia Puspitaningrum Effendy, Nico Ardia Eko Budi Cahyono Elsyah Ayuningrum Elza Norazizah Elza Norazizah Evi Dwi Wahyuni Faiqurrahman, Mahar Fajarisma Asfiana Putri Fajrur Rahman Suprapto Fajrur Rahman Suprapto Fakhrul Islami Fakhrul Islami Fathoni, Muhammad Asrar Fatimah Defina Setiti Alhamdani Febri Ayu Fitriani Ferin Reviantika Ferin Reviantika Frengky Prastyo Gita Ismadianti Hanafi Prasetyoko Haqim, Gilang Nuril Haris Diyaul Fata Haris Diyaul Fata Harizal Iqmal Hasan I'anatut Thoifah Imam Halimi Imam Halimi Indrabayu, Rizky Irsandro, Ahmad Karima Maydina Yanti Kresna Arief Nugraha Lailatul Husniah Lailatul Husniah Lia Nuarini Luqman Hakim M. Isnainur Hidayatullah M. Isnainur Hidyatullah Mahar Faiqurahman Mairissa Anggraini Mairissa Anggraini Maulidya Yuniarti Moh. Taufiq Hidayat Muhammad Alfian Ramadhani Muhammad Alvin Rafli Muhammad Asrar Fathoni Muhammad Gufron Muhammad Gufron Muhammad Ilham Muhammad Ilham Muhammad Iqbal Muhammad Iqbal Muhammad Iqbal Ramadhan Muhammad Rizky Aviansyah Muhammad Syauqi Amiq Amrullah Muhammad Ulfi Nabillah Annisa Rahmayanti Nabillah Annisa Rahmayanti Nina Mauliana Noor Fajriah Nina Mauliana Noor Fajriah Nirma Dwi Wulansari Nirma Dwi Wulansari Nirma Noviasari, Vebrian Nuarini, Lia Nur Hayatin Nur Riyan Sahara Nuryasin, Ilyas Pendi, Wendi Praadita, Firman Noor Rellanti Diana Kristy Ridha Akbari Risdianto Risdianto Risdianto Risdianto Rizky Habibullah Fuady Rizky Irwan Saputra Rizky Irwan Saputra Roni Hadi Wijaya S, Vinna Rahmayanti Saiful Amien Silcillya Ayu Astiti Syadza Anggraini Syadza Anggraini Syaifudin Zuhri Syaifudin Zuhri Tsabitah Ayu Rahmawati Tutik Sulistyowati Vebrian Noviasari Wahyu Andhyka Kusuma Waliyyullah Mufid Waliyyullah Mufid Wicaksono, Galih Wasis Wildan Suharso Wiyono, Briansyah Setio Wiyono, Briansyah Setyo Yudi Ananta Prasetya Yufis Azhar Zachra, Fatimatus Zakaria, Irfan Zakiyah Mahfudho Zamah Sari Zildan Rahmatullah