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All Journal Riau Journal of Computer Science JURNAL TEKNOLOGI DAN OPEN SOURCE IJISTECH (International Journal Of Information System & Technology) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknik Informatika (JUTIF) IJISTECH Jutsi: Jurnal Teknologi dan Sistem Informasi J-Com (Journal of Computer) Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat
Eska, Juna
Universitas Putra Indonesia “YPTK” Padang
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
APPLICATION OF C4.5 ALGORITHM FOR DETERMINATION OF THE COMMUNITY OF RECIPIENTS OF PROSPEROUS FAMILY CARDS IN THE VILLAGE OF SUKARAMAI BASED ON WEB Intan Agustina; Juna Eska; Indra Ramadona Harahap
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.164

Abstract

The Prosperous Family Card (KKS) is a card given by the Government in lieu of a Social Protection Card (KPS). This card is a marker of underprivileged communities, people who have KKS will get Rice Assistance and Non-Cash Food Assistance (BPNT) every month. To receive the Prosperous Family Card (KKS), the government has set several criteria. As for how to solve the criteria that have been set, namely by utilizing data mining techniques. Data mining can also be interpreted as the process of extracting and extracting knowledge in a set of data using the C4.5 Algorithm. The C4.5 algorithm is a method that can be used for decision making that forms into a decision tree that can later be used as a basis for consideration in determining the community of recipients of the Prosperous Family Card (KKS). The purpose of this study is that the C4.5 algorithm can predict the community of recipients of prosperous family cards so that they can be used in determining the community of recipients of prosperous family cards (KKS) in Sukaramai village.
APPLICATION OF K-MEANS CLUSTERING METHOD TO CLUSTER STUDENTS’ ENGLISH SKILL JASON ENGLISH COURSE Khairunnisa Khairunnisa; Juna Eska; Mustika Fitri Larasati Sibuea
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.167

Abstract

The role of students with high English skills and higher quality standards in an English course institution is one aspect that has a significant impact on the course institution's quality. To generate positive competition among students and to produce the best quality of students, student English skills should be clustered. The determination of students' English skills at the Jason English Course is currently done with the results of decisions that are off target, impenetrable, and inefficient because the calculations are still not computerized and depend on the tutor's personal feelings, causing it unachievable the initial goal of clustering these skills. The goal of this research is to make it easier for tutors to group students' English skills with targeted, transparent, and efficient decision results so that students can recognize their abilities and tutors can create appropriate learning methods so that students do not encounter learning obstacles. As a result, the course institution requires the appropriate technology to assist tutors in grouping students' abilities. The method used in this research was k-means clustering, which is a data mining technique. This research data is calculated and tested using Microsoft Excel, RapidMiner, Design Systems with PHP programming languages, and databases MySql. After calculating and testing the data, the accuracy obtained on the data sample reached 80%. As a result, using K-means clustering, Student English Skill Jason English Course can be clustered quickly, clearly, efficiently, and accurately.
Co-Authors Aditya, Mellya Rindhani Afira, Riandana Afni Nia Sari afrisawati, Afrisawati Alfi Syahrinur Sitorus Anggita Purwandari Djesmedi, Dinda Febby Madonna Yuma Gusmita, Devi Hambali Hambali Harahap, Indra Ramadona Hidayatullah Hidayatullah hidayatullah, Hidayatullah hidayatullah Hommy Dorthy Ellyany Sinaga Intan Agustina Irianto Irianto Jeperson Hutahaean Khairunnisa Khairunnisa Lesita khairuni siagian M Ihsan Mardalius Mardalius Muhammad Amin Mustika Fitri Larasati Sibuea Okmaya Okmaya Pohan, Nurmaliana Prihandoko, P Purwandari, Anggita Ricki Ananda Rika Nofitri Sari, Afni Nia Sitorus, Alfi Syahrinur Sudarmin Sudarmin Sumantri Sumantri Sumantri Sumantri Syahputra, Ronaldo Wulandari, Natasya Yani, Zulfitri Zulfitri Yani Zulkhairani, Zulkhairani