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All Journal BERKALA SAINSTEK INFORMAL: Informatics Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal RESISTOR (Rekayasa Sistem Komputer) International Journal of Natural Science and Engineering Jurnal Mantik JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Tika JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal Puan Indonesia Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat
Dirgayusari, Ayu Manik
STMIK STIKOM Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Other

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Journal : BERKALA SAINSTEK

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Decision Support System Design and Development for Determine Graduate Phase of College Students with Naïve Bayes Algorithm Web-Based in Indonesia Institute of Business and Technology Adyana, Andres; Dirgayusari, Ayu Manik; Maharani, Nia; Andika, I Gede; Supartha, I Kadek Dwi Gandika
BERKALA SAINSTEK Vol 11 No 1 (2023)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v11i1.33385

Abstract

In the course of the lecture period, each student is different, various factors can affect the mental and academic achievement of students which have an impact on their graduation period. This things also impact on the campus of the Indonesian Institute of Business and Technology, until now there is no system that can determine the graduation period of students at the campus, therefore it is necessary to build a decision support system to determine the graduation period of students, especially students in the Informatics Engineering Study Program and Program Study of Computer Systems at the Indonesian Institute of Business and Technology (INSTIKI) using the Naïve Bayes algorithm that utilizes parameters, namely student academic data consisting of work status, Semester Achievement Index (IPS) scores semesters one untill four, and Grade Point Average (IPK). The system designed by using the GaussianNB library in python and website based. From the results of this study, the accuracy of the model made on the system produces an accuracy value of 87.5% with a dataset rule of 800 data and the data is divided and used as test data by 20%, while the accuracy value of classifying 250 test data on the system is 80.8%.
The Decision Support System for Determining Poor Families Who Receive Blt Uses The Simple Additive Weighting (SAW) Method Case Study: Batubulan Village Perbekel Office Dirgayusari, Ayu Manik; Dharsika, I Gde Eka; Diani, Ni Made Ayu Mita
BERKALA SAINSTEK Vol. 13 No. 1 (2025)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Many government programs have been created to overcome poverty in an area. However, the assistance provided is not on target so it has not reached the hands of the people who really need it. This happened because the determination of prospective poor families to receive BLT was not optimal. Seeing this, the author helped the Head of Social Welfare by creating a Decision Support System for Determining Poor Families Using the Simple Additive Weighting (SAW) Method. Case Study: Batubulan Village Perbekel Office so that it could provide two categories namely poor and not poor. The SAW method was chosen because it can determine the weight value of each criterion and then continue with the ranking process which will select a number of alternatives, in this case families that are categorized as poor families. With this ranking process, correct assessments and accurate results are obtained both in manual calculations and system calculations.
Co-Authors Adnyana, Anak Agung Gede Oka Kessawa Adyana, Andres Andika, I Gede Aniek Suryanti Kusuma, Aniek Suryanti Asana, I Made Dwi Putra Atmaja, Ketut Jaya Desak Made Dwi Utami Putra Dewa Putu Yudhi Ardiana Diani, Ni Made Ayu Mita Eddy Hartono Eka Dharsika, I Gde Gede Surya Mahendra I Dewa Made Krishna Muku I Gede Adnyana I Gede Adnyana I Gede Andika I Gede Iwan Sudipa I Gusti Made Ngurah Desnanjaya I Kadek Dwi Gandika Supartha I Nyoman Agus Suarya Putra I Nyoman Buda Hartawan I Nyoman Buda Hartawan I Wayan Darmadi I Wayan Dharma Suryawan I Wayan Sudiarsa I WAYAN SUDIARSA Indra Pratistha Jepri Martana, I Nyoman Karvana, Ketut Gde Manik Lopez, Ferdinandus Try Mahartha Da. Made Suci Ariantini Ni Ketut Utami Nilawati Ni Made Lisma Martarini Ni Wayan Rika Andini Ni Wayan Suardiati Putri Nia Maharani Nirwana, Ni Kadek Ayu Novandi, Aditya Nyoman Arya Wiradarma Putu Gede Surya Cipta Nugraha PUTU SUGIARTAWAN Rini Komalasari Sugihya Artha Dwipayani Wardani, Ni Wayan Welda Willdahlia, Ayu Gede Wiradana, I Made Adi Yoga, I Komang Mahendra