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All Journal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
Eka Irawan
STIKOM Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management

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Analisis Metode SMART Rekrutmen Guru Baru TK/Paud Lestari Di Kabupaten Simalungun Nadillah Dwi Putri; Eka Irawan
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 1 (2021): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i1.285

Abstract

This research is based on the background of the observations and experiences of researchers, that the system of recruitment of new teachers who are currently running in TK / PAUD LESTARI is still not optimal because they are still doing manual and not computerized methods. As a result, it will slow down the work time of the school in making decisions, searching, inputting, updating, the previous recruitment data of the previous period will also be difficult and require a long time, and the security of data recruitment is also not guaranteed. This study uses a quantitative research approach with the subject of new teacher recruitment research for TK / PAUD LESTARI. Research is carried out in the System Development Life Cycle (SDLC) which is a life cycle or methodology in system development. The conclusion of the results of this study is through the cycle of the System Development Life Cycle (SDLC) which is a life cycle or methodology in developing the system to be even better. Based on the conclusions of the results of this study, it was recommended: the aim of the researchers to conduct this research was to design and create a "New Teacher Recruitment Decision Support System in TK / PAUD LESTARI in Simalungun Regency" in order to facilitate the school in inputting, updating, searching and securing recruitment data
Implementasi Metode K-Medoids Clustering Dalam Pengelompokan Data Penyakit Alergi Pada Anak Haryati Ningrum; Eka Irawan; Muhammad Ridwan Lubis
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 1 (2021): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i1.277

Abstract

Allergies are an abnormal response from the immune system. People who experience allergies have an immune system that reacts to a substance that is usually harmless in the environment. There are two limitations in this study, namely, seafood allergy and air allergy. In this study, the data used were sourced from the National Statistics Agency in 2011-2019. This study uses data mining techniques in data processing with the k-medoids clustering method. The k-medoids method is a clustering method that functions to split the dataset into several groups. The advantages of this method are able to overcome the weaknesses of the k-means method which is sensitive to outliers. Another advantage of this method is that the results of the clustering process do not depend on the order in which the dataset is entered. This method can be applied to data on the percentage of children affected by allergies by province, so that it can be seen the grouping of provinces based on this data. From this grouping data obtained 3 clusters namely low cluster (2 provinces), medium cluster (30 provinces) and high cluster (2 provinces) from the percentage of allergy immunization under five in each province. It is hoped that this research can provide information to the health department, especially the public health center regarding data grouping of Allergic Diseases in children in Indonesia which has an impact on equity in giving anti-allergic immunization to children in Indonesia
Co-Authors Haryati Ningrum Muhammad Ridwan Lubis Nadillah Dwi Putri