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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Teknik JMM (Jurnal Masyarakat Mandiri) Jambura Journal of Informatics @is The Best [Accounting Information System & Information Technology Business Enterprise] Jurnal Pendidikan Teknologi Informasi dan Vokasional Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) Journal Automation Computer Information System (JACIS) Inverted Digital Transformation Technology (Digitech) Empiris Jurnal Pengabdian Pada Masyarakat (EJPPM) Diffusion: Journal of Systems and Information Technology
Indhitya R Padiku
Universitas Negeri Gorontalo
Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Journal : JURNAL SISTEM INFORMASI BISNIS

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Sistem Pendukung Keputusan Untuk Mengevaluasi Internal Program Studi Padiku, Indhitya Rahman; Widodo, Achmad
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (641.36 KB) | DOI: 10.21456/vol5iss1pp40-46

Abstract

The development of major and study program cannot be separated by some internal factors weather directly influenced number of new registration students or indirectly. It needs a method to both know and to analyze internal evaluation variables in major or study program. Naive Bayes Clasifier (NBC) method is the simple form of Bayesian network that assume all features are independent each other. NBC shows us a great performance entirely in accuracy and error level classification. NBC is able to differentiate irrelevance attribute and also classified some attributes in prediction needs. This research hopefully can be useful for major internal evaluating and study program in order to increase the number of new registration students. The classification by influenced of variables to evaluate the condition of both major and study program for the new registration students.
Co-Authors Abas Kaluku Abdilah, Tajjudin Abdul Aziz Bouty Abdurrafi Yahya Achmad Widodo Adi Junaidi Rahman Daud Agus Lahinta Agus Lahinta Agustinus Moonti Ahmad Azhar Kadim Alfian Zakaria Alwiansyah Masloman Arip Mulyanto Bouty, Abd. Azis Budiyanto Ahaliki Dai, Roviana H. Dangkua, Eka Vickrein Dian Novian Dwinanto, Arif Echan Adam Edi Setiawan Edi Setiawan Eka Vickraien Dangkua, Eka Vickraien Gaib, Rukli Prasetya Gani, Hilmansyah Gobel, Rafli Ananda Rizkillah Hadjaratie, Lilyan Hasda Damopolii Hermila A Hunta, Aprilia M Huraju, Risnawati M. I Ketut Sutriana Isa, Agustiyani Jamal, Mohamad Fadel Jemmy A Pakaya Jovano, I Putu Kahar, Nurrahmah Fitirani Karim, Windy Lalu, Widi Natasya Lanto Ningrayati Amali Lillyan Hadjaratie Manda Rohandi Moh Ramdhan Arif Kaluku Moh. Hidayat Koniyo Moh. Ramadhan Podungge mohammad syafri tuloli Mohune, Mohamad Raka Putra Muchlis Polin Muh. Fachry J.K. Luid Muh. Fikri F. Walahe Muhammad Ilham Akbar Muhammad Multazam Mukhlisulfatih Latief Muthia Muthia Muthia, Muthia Naue, Rezel Nikmasari Pakaya Nurrahmah Fitirani Kahar Pakaya, Nikmasari Paneo, Amirrudin Panu, Mohamad Fiqriansyah Papeo, Dizky Ramadani Putri Pido, Muhamad Nur Fauzie Pirman Uno Rahman Takdir Rampi Yusuf Randi I. Bumbuluto Raupu, Resa Rizky Cahya Ahmad Sahrul Gobel Salahudin Olii Sitti Suhada Sri Ayu Ashari Sri Ayu Pangaiyan Sugeha, Sri Sumima Suleman, Nadia Safitri Tajuddin Abdillah Tasya Safira Bila Usman, Wahyu Setiawan Yassin, Rocmat Mohammad Thohir Yulisa Amny Tapola