Article Per Year (5 Year)
p-Index From 2021 - 2026
1.745
P-Index
This Author published in this journals
All Journal INFORMAL: Informatics Journal Pendas : Jurnah Ilmiah Pendidikan Dasar JSiI (Jurnal Sistem Informasi) Tematik : Jurnal Teknologi Informasi Komunikasi KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK)
Ratna Juita
Jurusan Teknik Universitas Negeri Papua
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : INFORMAL: Informatics Journal

 1 
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.
Analisis Kepuasan Penggguna Pada Layanan Aplikasi Mobile Jaminan Kesehatan Nasional (JKN) Menggunakan Metode User Experience Questionnaire (UEQ) Achlis Amalia Masruroh; Ratna Juita; Bertha Pangaribuan
INFORMAL: Informatics Journal Vol 8 No 2 (2023): 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.v8i2.38011

Abstract

Although application mobile JKN would facilitate the public. However, until now has a view on the level of satisfactiom users application mobile JKN particulary in the area of west Papua. Reseach objectives to be evalution when do for improve te weaknesses and shortage of system. Raising the level of satisfaction mobile users JKN. The use writer method user experience questionnaire (UEQ) to assess the variable UEQ: attractiviness, clarity, efficiency, the reliability of, stimulation and novelty. The result of the research by the number 117 respondents from 5 administrative areas west papua, category above average on a scale attractiviness with the 1.22. Scale clarity with the 1.13 to a category bellow average. Scale efficiency the average value of 1.42 with category above average. Scale the accuracy of get result the average score 2.04 to a category excellent. The stimulation average scoring 1.16 category above average. The last a novelty average 1.85 with excellent categories.
Co-Authors Achlis Amalia Masruroh Adi Heri Alfroki Martha Asmaul Husna Bertha Pangaribuan Christian Dwi Suhendra Dedi I Inan Dedi I Inan Dedi I. Inan Hafiz Hidayat Hendrizal Ira Maya Sofa Irianti, Arnita Khosin, Noor Lorna Y. Baisa Maskurniawan Merlinda Sanglise Merry Yelliza Messi Triyana Muhamad Indra Nova Arianti Rahayu Rahmadani Rahma Yuni Ramayulis Rahman Syam, Arniati