Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Innovative: Journal Of Social Science Research
Wijaya, Tri Amri
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
RANCANG BANGUN E-LEARNING 2.0 BERBASIS WEBSITE PADA BALAI PENGEMBANGAN TENAGA KERJA (BPTK) DJOGJA BHAKTI UTAMA Marhayu, Marhayu; Pranatawijaya, Viktor Handrianus; Wijaya, Tri Amri
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 8 No. 2 (2014): Jurnal Teknologi Informasi Jurnal Keilmuan dan Aplikasi Bidang Teknik Informati
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v8i2.1481

Abstract

Along with the development of information technology is growing rapidly, the need for a conceptand mechanism of IT-based teaching and learning becomes inevitable. As an agency ManpowerDevelopment Center "Bhakti Djogja Utama" which is a Course and Training Institute health managementengaged in non-formal education. In developing an E-Learning application uses the PHP programminglanguage applied to the system, HTML, CSS and J-query while for data storage using a MySQL databaseand application development methods waterfall. Manufacturing Website E-learning is becoming a mediaelectronic learning (e-learning). The website is also able to promote Workforce Development Center"Jogja Bhakti Utama" in the wider community through the virtual world.
RANCANG BANGUN E-LEARNING 2.0 BERBASIS WEBSITE PADA BALAI PENGEMBANGAN TENAGA KERJA (BPTK) DJOGJA BHAKTI UTAMA Marhayu, Marhayu; Pranatawijaya, Viktor Handrianus; Wijaya, Tri Amri
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 8 No. 2 (2014): Jurnal Teknologi Informasi Jurnal Keilmuan dan Aplikasi Bidang Teknik Informati
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v8i2.1481

Abstract

Along with the development of information technology is growing rapidly, the need for a conceptand mechanism of IT-based teaching and learning becomes inevitable. As an agency ManpowerDevelopment Center "Bhakti Djogja Utama" which is a Course and Training Institute health managementengaged in non-formal education. In developing an E-Learning application uses the PHP programminglanguage applied to the system, HTML, CSS and J-query while for data storage using a MySQL databaseand application development methods waterfall. Manufacturing Website E-learning is becoming a mediaelectronic learning (e-learning). The website is also able to promote Workforce Development Center"Jogja Bhakti Utama" in the wider community through the virtual world.
Perbandingan Algoritma DBSCAN dan K-Means Clustering untuk Pengelompokan Data Gangguan PT. PLN UID Kalselteng Wijaya, Tri Amri; Utami, Ema; Al Fatta, Hanif
Innovative: Journal Of Social Science Research Vol. 4 No. 1 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i1.8920

Abstract

Perusahaan Listrik Negara (PLN) merupakan salah satu perusahaan Badan Usaha Milik Negara, Dalam pendistribusian listrik sering terjadi gangguan yang menyebabkan pasoka listrik sering terdampak diantranya terjadi pemadaman, Bentuk pencegahan gangguan dilakukan dengan cara pengelompokan titik-titik gangguan yang sering terjadi, Untuk mengatasi permasalahan Terdapat berbagai metode yang dapat digunakan dalam pengelompokan data, diantaranya : DBSCAN dan K-Means. Tujuan dari penelitian ini untuk melakukan pengelompokan data gangguan menggunakan metode DBSCAN dan K-Means. Percobaan dilakukan menggunakan dataset sebanyak 2000 data yang terdiri dari 2 atribut: lattitude dan longtitude. Berdasarkan penelitian ini, Setelah melalui beberapa percobaan diperoleh hasil bahwa K-Means lebih unggul daripada DBSCAN dalam mengelompokkan data gangguan. Algoritma K-Means memiliki nilai SI terbaik sebesar 0,581 yang terletak pada percobaan dengan nilai k = 6.
Co-Authors Ema Utami Hanif Al Fatta Marhayu, Marhayu Viktor Handrianus Pranatawijaya