Harco Leslie Hendric Spits Warnars, Harco Leslie Hendric
Bina Nusantara University

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Pemodelan E-Learning Dengan Framework Learning Technology System Architecture (LTSA) Pada Stmik Pranata Indonesia Spits Warnars, Harco Leslie Hendric
Jurnal Sistem Komputer Vol 5, No 1 (2015)
Publisher : Jurnal Sistem Komputer

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Abstract

The development of information and communication technology influences the changing from conventional into digital education which is recognized as e-learning. Most of education institution has employee students which have to spare their time between doing their higher education and working, including STMIK Pranata Indonesia. This is important for STMIK Pranata Indonesia to builds e-learning in order to support most of their students which are recognized as employee students. E-learning is modelled with Learning Technology System Architecture (LTSA) framework which is recognized as IEEE standard to build e-learning. At the end, this e-learning will help lecturers and students in academy teaching process.
PEMAHAMAN TEORI DATA WAREHOUSE BAGI MAHASISWA TAHUN AWAL JENJANG STRATA SATU BIDANG ILMU KOMPUTER Spits Warnars, Harco Leslie Hendric; Suria, Epafras; Jeremy, Darren Kent
Jurnal Informatika Vol 13, No 1 (2015): MAY 2015
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (71.575 KB) | DOI: 10.9744/informatika.13.1.20-24

Abstract

As a Computer scientist, a computer science students should have understanding about database theory as a concept of data maintenance. Database will be needed in every single human real life computer implementation such as information systems, information technology, internet, games, artificial intelligence, robot and so on. Inevitably, the right data handling and managament will produce excellent technology implementation. Data warehouse as one of the specialization subject which is offered in computer science study program final semester, provide challenge for computer science students.A survey was conducted on 18 students of early year of computer science study program at Surya university and giving hypothesis that for those students who ever heard of a data warehouse would be interested to learn data warehouse and on other hand, students who had never heard of the data warehouse will not be interested to learn data warehouse. Therefore, it is important that delivery of the Data warehouse subject material should be understood by lecturers, so that students can well understoodwith the data warehouse.
The architecture social media and online newspaper credibility measurement for fake news detection Arianto, Rakhmat; Spits Warnars, Harco Leslie Hendric; Abdurachman, Edi; Heryadi, Yaya; Gaol, Ford Lumban
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.145 KB) | DOI: 10.12928/telkomnika.v17i2.11779

Abstract

Social media is one of the communication media favored by people in the world, especially in Indonesia. This is evidenced by the results of the APJII survey which shows that the majority of Indonesians use social media in their daily activities. One of the advantages of social media is the dissemination of information faster than conventional media so that the quality of information disseminated is lower than conventional media due to the process of disseminating information not through the filter process. By measuring the level of credibility of the online newspaper based on the time credibility, website credibility, and message credibility factors and measuring the level of credibility on social media based on the time credibility, Social Media Credibility, and Message Credibility factors with different levels of weight, it will produce a news likelihood level it's fake news or facts.
Forecasting Sebagai Decision Support Systems Aplikasi dan Penerapannya Untuk Mendukung Proses Pengambilan Keputusan. Christy, Jessica; Hintarsyah, Aristo Putramasi; Spits Warnars, Harco Leslie Hendric
Jurnal Sistem Komputer Vol 8, No 1 (2018)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v8i1.141

Abstract

Di dalam suatu perusahaan, pasti ada suatu kegiatan untuk mengetahui apa yang terjadi di masa mendatang dengan menggunakan data dari masa lampau dan sekarang. Forecasting juga adalah cara yang paling efektif dan efisien didalam lingkungan perusahaan untuk memprediksi dan membaca kondisi perusahaan saat ini dan memprediksi berdasar kondisi perusahaan saat ini. Sebagai contoh untuk mengetahui stok barang yang terdapat di gudang dan berapa banyak stok yang akan dijual untuk mendapatkan hasil penjualan yang optimal. Forecasting dapat diimplementasikan dengan bantuan teknologi informasi semisal datawarehouse, decision support system, data mining, machine learning dan teknologi komputasi inteligent lainnya, dengan tujuan untuk menggunakan data saat ini untuk kebutuhan prediksi kemungkinan-kemungkinan bisnis ke depan dalam rangka mendukung proses pengambilan keputusan. Forecasting dapat diimplementasikan dengan berbagai macam formula seperti Moving Average, Weighted Moving Average, Exponential smoothing, Mean Absolute Deviation dan Trend Moment. Penggunaan forecasting diimplementasikan pada berbagai macam ragam bisnis dalam mendukung proses-proses pengambilan keputusan guna meningkatkan profit perusahaan dengan memprediksi kemungkinan-kemungkinan yang akan terjadi berdasar kondisi perusahaan saat ini.
Model data warehouse untuk Operasional petugas pemadam kebakaran Pada dinas pemadam kebakaran provinsi DKI Jakarta Munawar, Kharis; Spits Warnars, Harco Leslie Hendric
Jurnal Ilmu Komputer Vol 12 No 1 (2019): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (71.575 KB)

Abstract

In this paper we design 2 data warehouse design models for the DKI Jakarta fire department. The first data warehouse design model is categorized as a fact constellation schema, where there are 3 fact tables, 2 dimensional tables and 1 sub dimension table, while the second data warehouse design model is a fact constellation schema which consists of only 3 fact tables as well. Both of these data warehouse models are displayed with the intention that the implementation of the data warehouse based on the fire extinguisher data will look different and that will certainly be faster by using the 2nd model which is categorized as an non normal data warehouse model which only consists of 3 fact tables which the lack of a join process in the fact table and the dimensions of the data warehouse will speed up the query process in building the data warehouse report. The design model of the data warehouse is designed based on 4 excel table files, each of which has 1 table downloaded from the DKI Jakarta fire department's website on the website data.jakarta.go.id.