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All Journal Informasi Interaktif EDUMATIC: Jurnal Pendidikan Informatika Jurnal Pengabdian kepada Masyarakat Nusantara
Sri Rahayu
Program Studi Informatika Fakultas Teknik Universitas Janabadra
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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Journal : EDUMATIC: Jurnal Pendidikan Informatika

 1 
Aplikasi Dashboard Visualisasi Data Calon Mahasiswa Baru mengunakan Metabase Yumarlin MZ; Jemmy Edwin Bororing; Sri Rahayu; Tan Anugrah Ramadhani
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 1 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i1.5483

Abstract

New student data Information systems can be used as a supporting tool to support decisions. Janabadra University is one of the universities in Yogyakarta, the information system for recording transactional data for students is still done simply in the form of text and numbers. The purpose of this research is to design and build a dashboard application for data visualization of prospective students at Janabadra University for new student admissions (PMB). The method used is a business intelligence roadmap with six stages, the stages are (1) justification, (2) planning, (3) business case, (4) design, (5) construction, and (6) deployment which is a reference in the design and construction of a data warehouse using Metabase. The results of this study can build 7 (seven) visualization dashboards are  (1) Dashboard of information students grouped based on the total number of PMB registrants, (2) Dashboard of the number of registrants based on the academic year, (3) Dashboard of income from PMB registration based on the payment date, (4) Dashboard of the number of students based on the academic year of each study program, (5) Dashboard of the number of registrants by class, (6) Dashboard of the number of PMB registrants by semester and (7) Dashboard of the number of PMB registrants by study program and class.
Implementasi Metode K-Nearest Neighbor (K-NN) untuk Analisis Sentimen Kepuasan Pengguna Aplikasi Teknologi Finansial FLIP Sri Rahayu; Yumarlin MZ; Jemmy Edwin Bororing; Rahmat Hadiyat
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 1 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i1.5433

Abstract

The phenomenon of technological development can transform systems in various sectors to provide efficiency and convenience at a lower cost, including the financial sector. Flip is a financial service application that makes it easy to transfer money between banks without administrative fees. By the end of 2021, the Flip will have a 4.9 rating on the Google Play Store. The purpose of this study was to analyze user sentiment towards the Flip app to see if flip user ratings were as positive as the ratings received. This study uses a set of text mining processes on the user rating data of the Flip app on the Google Play Store, using the classification algorithm K-Nearest Neighbor with TF-IDF weighting. The results show that 77.67% of the test data are correctly classified as positive evaluation classes, with high accuracy and recall rates of 82.67% and 86.92%, respectively. In addition, from the results of applying the Flip user rating data classification method, the comparison between training data and test data is 80%:20%, and the classification accuracy using the K-Nearest Neighbor algorithm is 76.68%. User reviews of the Flip app have shown positive results, as well as the ratings obtained in the Google Play Store and the K-Nearest Neighbor algorithm, TF-IDF weighting process used to analyze user sentiment towards the Flip app.
Sistem Pakar Pasal-Pasal Pidana Penghapusan Kekerasan dalam Rumah Tangga dengan Metode Forward Chaining Yumarlin MZ; Sri Rahayu
Jurnal Pendidikan Informatika (EDUMATIC) Vol 7 No 1 (2023): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v7i1.13688

Abstract

Domestic and Family Violence (DFV) is a social issue that often occurs in Indonesia, especially for women. Domestic violence cases often cannot be handled thoroughly because legal issues are very complex, making it difficult for ordinary people to understand and sort out the articles that regulate a legal case in domestic violence. This research aims to produce an expert system that can make it easier for the public to find solutions in the form of articles suspected of being involved in a crime of domestic violence. An expert system built with the stages of analysis, design, implementation, and testing. The analysis phase was carried out by observation and interviews or discussions with staff from the District Attorney's Office for the Sleman Regency, Special Region of Yogyakarta. The implementation phase uses the Forward Chaining inference technique to produce the basic rules for determining the articles suspected of acts of violence committed. System testing using SUPR-Q involved 30 respondents to fill out questionnaires from 3 aspects of user experience namely usability, user interface, and satisfaction. The test results obtained a percentage of 80.66% indicating a very good level of ease and satisfaction of the expert system for eliminating domestic violence.
Co-Authors Bororing, Jemmy Edwin Fenthy Faharani Jeffry Andhika F Jeffry Andhika Putra Larasati Rahmat Hadiyat Tan Anugrah Ramadhani Yumarlin MZ