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All Journal Journal Information System Development Jurnal Sistem Informasi Kaputama (JSIK) JTIK (Jurnal Teknik Informatika Kaputama) MEANS (Media Informasi Analisa dan Sistem) Journal Of Human And Education (JAHE) Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Mathematics and Technology (MATECH) Scientica: Jurnal Ilmiah Sains dan Teknologi Pascal: Journal of Computer Science and Informatics JURNAL TEKNOLOGI, KESEHATAN DAN ILMU SOSIAL
Sihombing, Marto
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Journal : Pascal: Journal of Computer Science and Informatics

 1 
Application Of The Decision Tree Method As A Factor Causing Students To Drop Out (Case Study: SMK Tunas Pelita Binjai City) Darma Yanti, Intan; Sihombing, Marto; Prahmana, I Gusti
Pascal: Journal of Computer Science and Informatics Vol. 2 No. 01 (2024): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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Abstract

The problem of the phenomenon of dropping out of school for students at the Senior High School or Vocational Education level is increasingly widespread. In fact, education is a very important field to develop the quality of Human Resources (HR) for the country. Ayu et al said that one of the important sectors that directly contributes the most in developing the quality of Human Resources (HR) is the education sector. Meanwhile, SMK Tunas Pelita Binjai is one of the vocational high schools in Binjai City that also faces the problem of dropping out of school. Based on internal school data, in 2023 there are 32 students or around 5% of the total students at SMK Tunas Pelita Binjai who cannot complete their education until the end. This figure is quite high and is a serious concern for the school. Some of the factors such as students' interest in learning have decreased so much that they make students inactive or often alpha, parents with low levels of education tend to lack understanding and appreciation for the importance of formal education for their children's future, they may not have high aspirations for the achievement of children's education, economic impacts that are very binding on the family so that children prefer to work to help the family economy. Seeing the very complex problem of dropping out of school, a comprehensive and systematic approach is needed to analyze what factors are the causes. The application of the Decision Tree method in identifying the factors that cause school dropouts at SMK Tunas Pelita Binjai, is expected to produce new information that can be used as a basis for schools to design more effective strategies and interventions in preventing and reducing school dropout rates. The author uses the help of RapidMiner software to see the factors that cause students to drop out of school by using the C4.5 Decision Tree method to create a decision tree from existing student data. So that from the RapidMiner calculation process, it can be concluded that what are the factors that cause the student to drop out of school.
Implementation of  the Rough Set Method  on Diseases Often Complained of by Patients (Case Study: RSU Raskita) Syahila, Febby; Sihombing, Marto; Simanjuntak , Magdalena
Pascal: Journal of Computer Science and Informatics Vol. 2 No. 01 (2024): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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The development of medical technology requires hospitals to be more efficient in providing services, especially in terms of handling diseases that are often complained about by patients. This study aims to identify disease patterns that often appear in Raskita Hospital and provide appropriate treatment priorities based on patient characteristics. Using the Rough Set method, patient data such as age, disease type, and severity are analyzed to find relationships between attributes and determine treatment priorities. This study uses data on diseases that are often complained about by patients at Raskita Hospital in 2023-2024. Diseases such as Dengue Hemorrhagic Fever (DHF), Acute Respiratory Tract Infection (ARI), and Gastroenteritis are identified as diseases that often appear in different age groups, with toddlers and the elderly tending to get higher priority in treatment. By applying the Rough Set method, the decision-making process becomes more effective, especially in determining patient priorities and simplifying complex medical data.  The results of the study show that the grouping of attributes based on age range, type of disease, and severity can improve the quality of hospital services. Raskita Hospital can optimize medical resources and provide more appropriate and efficient treatment for patients, especially in dealing with diseases that are often complained about.
Co-Authors Adhitya, Sri Ayu Al Dimas Sausan Roidoh Alfariza, Muhammad Arjuna Ambarita, Indah Andini, Anggun Angin, Sonadi Perangin Bangun, Perkasa Br Bangun, Cindy Arsita Buaton, Relita Charles Jhony Mantho Sianturi, Charles Jhony Mantho Darma Yanti, Intan Dewantara, Nowell Edelwais, Nurul Evitha, Evitha Ginting, Budi Serasi Husnah, Arinal Kusuma Wardhani Liana Yuza, Iftitah Manik, Ediman Natalia Sianturi, Ruth Nikous Soter Sihombing Ningsih, Fauziah Nisa R, Ajeng Arina Novriyenni Nst, Anugrah Always Nurhayati Nurhayati Pardede, Akim Manaor Hara Petrus Loo Prahmana, I Gusti Putri, Tia Anggia Ramadani, Suci Ramadhani, Sisca Rendy Zuhriansyah Pratama Rusmin Saragih, Rusmin Salsabila, Oktavia Sholawati, Fitria Sihombing, Anton Sima, Brema Arisma Simanjuntak , Magdalena Simanjuntak, Magdalena Sitepu, Topik SITORUS, ERBIN Syahila, Febby Syahputra, Siswan Syari, Milli Alfhi Windy, Windy Alfira Yani Maulita