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Journal : CommIT (Communication

Development of Model for Providing Feasible Scholarship Dhika, Harry
CommIT (Communication and Information Technology) Journal Vol 10, No 1 (2016): CommIT Vol. 10 No. 1 Tahun 2016
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v10i1.1666

Abstract

The current work focuses on the development of a model to determine a feasible scholarship recipient on the basis of the naiv¨e Bayes’ method using very simple and limited attributes. Those attributes are the applicants academic year, represented by their semester, academic performance, represented by their GPa, socioeconomic ability, which represented the economic capability to attend a higher education institution, and their level of social involvement. To establish and evaluate the model performance, empirical data are collected, and the data of 100 students are divided into 80 student data for the model training and the remaining of 20 student data are for the model testing. The results suggest that the model is capable to provide recommendations for the potential scholarship recipient at the level of accuracy of 95%.
Development of Model for Providing Feasible Scholarship Harry Dhika
CommIT (Communication and Information Technology) Journal Vol. 10 No. 1 (2016): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v10i1.1666

Abstract

The current work focuses on the development of a model to determine a feasible scholarship recipient on the basis of the naiv¨e Bayes’ method using very simple and limited attributes. Those attributes are the applicants academic year, represented by their semester, academic performance, represented by their GPa, socioeconomic ability, which represented the economic capability to attend a higher education institution, and their level of social involvement. To establish and evaluate the model performance, empirical data are collected, and the data of 100 students are divided into 80 student data for the model training and the remaining of 20 student data are for the model testing. The results suggest that the model is capable to provide recommendations for the potential scholarship recipient at the level of accuracy of 95%.
Co-Authors Achmad Sarwandianto ADE SYAHRUL RAMDAN Afithozaj, Satria Jahfal Agung Kusuma Wardhana Agus Buono Ambarwati, Dedinda Arip, Muhammad Arkan, Adhitiya Dwi Aswin Fitriansyah Aswin Fitriansyah, Aswin Atikah Atikah Auliya, Bainullah Bayu Hartanto, Naufal DEWI APRI ASTUTI Dewi Lestari, Iis Dewi Mustari Dhea Shifa Meliyanti Ermanto, Adryan Fahad Nahdi Faisal Faisal Fanisya Alva Mustika Fatmala Sari, Siti Febryan Ramdani Fitriana Destiawati Fitriana Destiawati Fuadah, Siti Guspriyatna Nurcahya Helmi Veris Heri Satria Setiawan Hermawan, Iwan Hisbikal Haqqi Muflihin Ibnu Malik Iis Dewi Lestari Indra Kurniawan Irwan Agus Isnain, Nasrulloh Isnain, Nasrulloh Jaman, Jajam Haerul Julianto Agus Prabowo Kristiningsih Kristiningsih Kristiningsih LESTARI, IIS DEWI Luh Putu Widya Adnyani Lukman Lukman Lukman Lukman Merita Ayu Sri Maharani Miftahur Rizki Muhamad Juliardi Muhammad Abdul Hafids Muhammad Tofan Muhammad Tri Habibie Muhtar, Rafi Adifa Musa Jaya Mustika, Fanisya Alva Nahdi, Fahad Nasrullah, Dadid Nazelliana, Dian Nia Rahma Kurnianda Nonot Suwarno Noor Komari Pratiwi Paramita, Aulia Parlaungan Parlaungan Paskhal Haidar Permatasari, Claudia Felicia Pradina Muharditya Praditya Putri Utami Puput Irfansyah putra, dicky kurnia Ragilio Aji Rahma Hanipah Rahmatika Rahmatika Ramdani, Febryan Riswan Adnan Robby Awaldi Ryan Maulana Alfaro Santy Handayani Saputra, Dandi sari, Pramita Shelvie Nidya Neyman Siti Fatmala Sari Sonny, Michael Sri Rezeki Surajiyo Surajiyo Syafitri Ayuning Tyas Tri Yani Akhirina Veris, Helmi Wisnu Ananta Yanti, Maulidya Dwi Yesica Angellia Yulianto Y, Erik Yusuf Agpal Nasution