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All Journal Jurnal Mantik
Syaiful Zuhri Harahap
Labuhanbatu University
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Web-Based School Payment Information System for Public High School 2 Kampung Rakyat Mira Handayani Siregar; Syaiful Zuhri Harahap; Musthafa Haris Munandar; Masrizal; Ade Parlaungan Nasution; Yudi Triyanto
Jurnal Mantik Vol. 4 No. 4 (2021): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2021.1171.pp2411-2415

Abstract

The progress and development of information technology is currently very rapid. Likewise, the world of education should also always experience development. Kampung Rakyat 2 Senior High School (SMA) is one of the schools that still uses manual means in paying school fees. Payment of school fees is an activity carried out every once a month that is charged to students, where the money will be used to pay salaries for honorarium teachers and other needs. Data collection methods used are observation, interview, and literature study. And using the UML system design method Diagram (Use Case Diagram, Activity Diagram, Sequence Diagram and Class Diagram), with database design and designing interface menus. The programming used is website programming using MySQL and PHP databases. This research resulted in a web-based school payment information system for Kampung Rakyat 2 High School. Hopefully with this information system can simplify and shorten the work of officers, so the process of entering data on payment of school fees can be completed in a short time.
Clusterization Using K-Means Clustering Algorithm In Predicting Student Graduation Time Syaiful Zuhri Harahap; Masrizal
Jurnal Mantik Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

Education at the college level is a suggestion that students can get a degree in order to have knowledge in the field of computer science. Taking a decision from a BIG DATA for Predicting student graduation time is useful to provide a means of knowing the estimated time of a student's graduation by seeing which students fall into a certain cluster based on the parameters of the Cumulative Achievement Index (GPA) and attendance. It is hoped that it can help the campus and students to predict the graduation rate on time and to improve the reputation for the campus itself and timely graduation for students so that their graduation is not late, besides that the campus can do things that need to be done if they are predicted pass not on time like by making motivation and other things.
Co-Authors Ade Parlaungan Nasution, Ade Parlaungan Masrizal Mira Handayani Siregar Yudi Triyanto