Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Omiyage: Jurnal Bahasa dan Pembelajaran Bahasa Jepang
Afrina Wati
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Penguasaan Shiekibun Pada Mahasiswa Tahun Masuk 2017 Program Studi Pendidikan Bahasa Jepang Universitas Negeri Padang Afrina Wati; Meira Anggia Putri
Omiyage : Jurnal Bahasa dan Pembelajaran Bahasa Jepang Vol 3, No 1 (2020)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/omg.v3i1.181

Abstract

Abstract This study discusses the mastery of Shiekibun in 2017 students of Japanese language study programs at Padang State University. The purpose of this study was to determine the Shiekibun mastery of 2017 students entering the Japanese Language Study Program at Padang State University. This type of research used in this research is quantitative research with descriptive methods. The population in this study were students entering 2017 Japanese Language Education Study Program, Padang State University, amounting to 56 people. The sample in this study amounted to 30 people. The data of this study are the Shiekibun mastery test scores for 2017 students entering the Japanese Language Study Program at Padang State University. Based on the results of the research carried out it can be concluded that the mastery of student Shiekibun in 2017 in general is in the qualification "pretty good" with an average of 66.8
IMPLEMENTASI DATAMINING PADA KASUS TENAGA LISTRIK YANG DIBANGKITKAN BERDASARKAN PROVINSI Afrina Wati; Iin Indriani; Tira Sifrah Saragih Manihuruk; Sintya Sintya; Ivo Yohana Manurung; Agus Perdana Windarto
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1683

Abstract

Indonesia is one of the most vital electric energy users. The development of the world of technology and information in its use does not escape from access to electricity. This study discusses the Implementation of Datamining in the Case of Electric Power Generated by Province. The increasing need for electricity usage from time to time has never escaped the attention and auspices of the government. The data source in this study was accessed from the official website of the Indonesian government, namely the Central Statistics Agency (http://www.bps.go.id). The data used in this study are data from 2011-2017 which consists of 33 provinces in Indonesia. In the analysis of this study using 3 (three) cluster levels, namely the first high level cluster (C1), the second moderate level cluster (C2) and the third low level cluster (C3). So that the final results of the analysis of the case study of Electric Power Generating by Province obtained new data and information, namely the high cluster province of 2 provinces namely East Java and Banten, the medium cluster province of 4 provinces namely North Sumatra, South Sumatra, West Java and Central Java while low cluster provinces as much as 27 in other provinces. The results of the analysis of this study can be used as input for the government and the State Electricity Company (PLN), in order to make the province of the highest cluster category a top priority in increasing the growth of power plants as well as being more interactive in the utilization of electricity effectively and efficiently.Keywords: Data Mining, K-Means, Clustering, Energy, Electric Power, Province
Co-Authors Agus Perdana Windarto Iin Indriani Ivo Yohana Manurung Meira Anggia Putri Sintya Sintya Tira Sifrah Saragih Manihuruk