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All Journal Jurnal Informatika Jurnal Teknik Komputer AMIK BSI Jurnal Pilar Nusa Mandiri INOVTEK Polbeng - Seri Informatika Jurnal Teknik Informatika STMIK Antar Bangsa JITK (Jurnal Ilmu Pengetahuan dan Komputer) IJIS - Indonesian Journal On Information System Jurnal Riset Informatika Jurnal Infortech Infotek : Jurnal Informatika dan Teknologi Jurnal Teknologi Informatika dan Komputer Jurnal Sistem Informasi Abdi Masya Abditeknika - Jurnal Pengabdian Kepada Masyarakat Computer Science (CO-SCIENCE) Jurnal Abdimas Ekonomi dan Bisnis Jurnal Abdimas Komunikasi dan Bahasa SPEED - Sentra Penelitian Engineering dan Edukasi Paradigma Journal of Accounting Information System
Ade Fitria Lestari
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering 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 Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Other

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Journal : Jurnal Pilar Nusa Mandiri

 1 
RANCANG BANGUN PROTOTIPE KNOWLEDGE MANAGEMENT SYSTEM BAHAN AJAR GURU DENGAN MODEL SECI DAN MVC : STUDI KASUS SDIT AL-HIKMAH CIPAYUNG DEPOK Lestari, Ade Fitria; Sensuse, Dana Indra
Jurnal Pilar Nusa Mandiri Vol 10 No 2 (2014): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1491.605 KB) | DOI: 10.33480/pilar.v10i2.475

Abstract

The ability of an educational institution in terms of science and technology became one of the very important factors. Despite those two things then it should be accompanied by qualified human resources and competitive. SDIT Al-Hikmah Cipayung Depok is an Islamic educational institution where the transfer of knowledge is still limited in the forum work meetings there has been no documentation or technology that saves teachers 'knowledge and experience in teaching. Knowledge Management System is the most effective way of tackling the problem and solution sharing and transfer of knowledge teachers at Al-Hikmah SDIT Cipayung Depok. The research method used was the establishment of the SECI model of knowledge, architectural design model application with MVC (Model-View-Controller), testing validation by Focus Group Discussion (FGD) method using a questionnaire, software testing, and black box testing and software quality testing with ISO 9126. The result of the research is a Knowledge Management System as the technology transfer of knowledge that is one of the efforts in reducing the use of paper (paperless office), making the efficiency of time, effort and cost, and better documentation management in the SDIT Al-Hikmah Cipayung Depok.
STUDENT PERFORMANCE ANALYSIS USING C4.5 ALGORITHM TO OPTIMIZE SELECTION amalia, Hilda; Yunita, Yunita; Puspita, Ari; Lestari, Ade Fitria
Jurnal Pilar Nusa Mandiri Vol 16 No 2 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v16i2.1348

Abstract

Education is one of the fields that generate heaps of data. Pile of data that can utilized by higher education institutions to improve tertiary performance. One way to process data piles in the education is to use data mining or called education data mining. The quality assessment of educational institutions conducted by the community and the government is strongly influenced by student performance. Students who have poor performance will have a negative impact on educational institutions. Student data is processed to obtain valuable knowledge regarding the classification of student performance. One method of data mining is the C4.5 algorithm which is known to be able to produce good classifications. In this research and optimization method will be used namely optimize selection on the c4.5 algorithm. Based on the research, it is known that the optimization selection optimization method can improve the performance of algorithm c4.5 from 85% to 87%.
APPLICATION OF DECISION TREE AND NAIVE BAYES ON STUDENT PERFORMANCE DATASET amalia, Hilda; Puspita, Ari; Lestari, Ade Fitria; Frieyadie, Frieyadie
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i1.2714

Abstract

Student performance is the ability of students to deal with the entire academic series taken during school. Student performance produces two labels, namely successful and unsuccessful students. Successful students can graduate with excellent, excellent, and suitable performance labels. At the same time, students who have a label on average are students who get poor performance. Measurement of student performance is needed for every educational institution to take strategic steps to improve student performance. This study aimed to obtain a data mining method that worked well on student performance datasets. In this study, student performance datasets were processed, which had 11 indicators with one result label. Student performance datasets are processed using data mining methods, namely decision tree and nave Bayes, while the tool used for dataset processing is WEKA. The research results from processing student performance datasets obtained that the accuracy value for the decision tree method was 94.3132%, and the accuracy produced by the naive Bayes method was 84.8052%.
Co-Authors Achmad Baroqah Pohan Ahmad Faris Ari Puspita Arief Setya Budi Arief Setya Budi Budi, Arief Setya Chatarina Umbul Wahyuni Dana Indra Sensuse Etika Sabariah Evi Yani Frieyadie Hardani, Sri Hilda Amalia Hilda Amalia Hilda Amalia Lia Mazia, Lia M Hafiz Mari Rahmawati Nurachim, Rusma Insan Nurul Muthia Retno Utami, Retno Riki Ardiansyah Rusma Insan Nurachim Rusma Insan Nurachim Sinatrya, Irfan Maulana Wangsit Supeno Wangsit Supeno, Wangsit Yunita Yunita Yuyun Yuningsih