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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) INFORMAL: Informatics Journal Jurnal Teknoinfo
Christian Dwi Suhendra
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Library & Information Science

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Journal : INFORMAL: Informatics Journal

 1 
Rancang Bangun Sistem Informasi Penilaian Pencapaian Materi dan Absensi Murid di Taman Pendidikan Al-Quran (TPA) DPD Lembaga Dakwah Islam Indonesia Kabupaten Manokwari menggunakan Metode Prototype Afifah Ummi Sholihah; Christian Dwi Suhendra; Pawit Rianto
INFORMAL: Informatics Journal Vol 6 No 3 (2021): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v6i3.21963

Abstract

The Regional Representative Council of Indonesia Institute of Islamic Dakwah of Manokwari Regency has four departments from Al-Quran Education School which are required to report the attendance and achievements of students each month in their respective departments. This report will be presented to the parents and to the Head of the school for evaluation. Both of these assessments are still carried out manually so it is inefficient because the data will be easily lost or scattered. With these problems, the author did some researches to carry out the Design and Development of Information System for Assessment of Material Achievement and Student Attendance at Al-Quran Education School - Regional Representative Council of Indonesia Institute of Islamic Dakwah in Manokwari Regency. This research was conducted by creating an assessment input information system and responsive web-based data recap, using the Laravel framework, MySQL database and the research method used was the Prototype Method. At the final stage of this research is testing the system with the Black Box Method. The final result of this research is the formation of the Information System for Assessment of Material Achievement and Student Attendance for the Al-Quran Education School - Regional Representative Council of Indonesia Institute of Islamic Dakwah in Manokwari Regency. The test results show that the Prototype Method can be used in building the information system in question.
Penerapan Metode K-Means dalam Pengelompokan Data Penduduk Tidak Mampu di Distrik Oransbari Messi Triyana; Ratna Juita; Christian Dwi Suhendra
INFORMAL: Informatics Journal Vol 7 No 3 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i3.34722

Abstract

Proverty is a serious problem, the occurrence of proverty in the community is caused by a condition of the inability of the family economically to meet primary needs. Poor people are found in almost every country, city, and region. One of them is in the Oransbari District, which is one of the areas in Indonesia where the population does not receive assistance evenly. Based on these conditions, clustering is carried out to assist the district in grouping the poor population, so that the assistance provided can be right on target. With this problem, data mining with k-means clustering method used in clustering the poor population to make it easier for the Oransbari District to provide the population so that it is right on target. The data used is the data of the poor population in 2020 which amounted to 1872 with 17 attributes. Based on the results of tests carried out by applying the k-means algorithm, the results obtained with 3 clusters, the first cluster with a population of 471 with the category of poor population with medium priority, the second cluster has a population of 428 with a high priority category of poor population, and the third cluster has a population of 826 a low priority category of poor population. The k-means method is expected to be able to assist the Oransbari District in making decisions so that assistance is more targeted.
Co-Authors Afifah Ummi Sholihah Josua Josen A. Limbong Marselinda Rante Uma Messi Triyana Pawit Rianto Ratna Juita Retantyo Wardoyo