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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

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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.
MATCHMAKING PROBLEMS IN MOBA GAMES Pramono, Muhammad Farrel; Renalda, Kevin; Kristiadi, Dedy Prasetya; Spits Warnars, Harco Leslie Hendric; Kusakunniran, Worapan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp908-917

Abstract

MOBA is a popular genre that requires teamwork to achieve victory. A close and tight match is what make MOBA fun to play and increase its user satisfaction, but some factor may ruin the matchmaking and create unbalanced match between the two team. Those problems factors are high latency, players with bad attitude, and players doing unfamiliar role. We use DOTA 2 as our case study. Then we compare the DOTA 2 matchmaking system in other sector to make comparison. Lastly, we discuss about solution to solve MOBA matchmaking problem such as displaying live information about online players, players searching for games, servers online and ETA for gaming to start. In addition, we proposed new variable to be considered in the matchmaking system, which are Preferences Role, player?s chosen preferences role will be considered while the system set up the game to minimize the number of unbalanced games in MOBA.
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 (138.18 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.
USING ATTRIBUTE ORIENTED INDUCTION HIGH LEVEL EMERGING PATTERN (AOI-HEP) TO MINE FREQUENT PATTERNS Spits Warnars, Harco Leslie Hendric
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 6: December 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (623.079 KB) | DOI: 10.11591/ijece.v6i6.pp3037-3046

Abstract

Frequent patterns in Attribute Oriented Induction High level Emerging Pattern (AOI-HEP), are recognized when have maximum subsumption target (superset) into contrasting (subset) datasets (contrasting ? target) and having large High Emerging Pattern (HEP) growth rate and support in target dataset. HEP Frequent patterns had been successful mined with AOI-HEP upon 4 UCI machine learning datasets such as adult, breast cancer, census and IPUMS with the number of instances of 48842, 569, 2458285 and 256932 respectively and each dataset has concept hierarchies built from its five chosen attributes. There are 2 and 1 finding frequent patterns from adult and breast cancer datasets, while there is no frequent pattern from census and IPUMS datasets. The finding HEP frequent patterns from adult dataset are adult which have government workclass with an intermediate education (80.53%) and America as native country(33%). Meanwhile, the only 1 HEP frequent pattern from breast cancer dataset is breast cancer which have clump thickness type of AboutAverClump with cell size of VeryLargeSize(3.56%). Finding HEP frequent patterns with AOI-HEP are influenced by learning on high level concept in one of chosen attribute and extended experiment upon adult dataset where learn on marital-status attribute showed that there is no finding frequent pattern.
EXECUTIVE INFORMATION SYSTEM (EIS) KINERJA STUDI KASUS: CABIN BASE MAINTENANCE PT GMF AEROASIA TBK Sudaryono, Sudaryono; Spits Warnars, Harco Leslie Hendric
Jurnal Sistem Informasi dan Informatika Vol 1 No 01 (2018): Jurnal Sistem Informasi dan Informatika (SIMIKA)
Publisher : Prodi Sistem Informasi, Universitas Banten Jaya

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Abstract

Being a company with a high level of productivity is the goal of all companies. If a company or organization has high productivity, the company or organization can be called an advanced company. PT GMF AeroAsia is one that always tries to increase its productivity. PT GMF AeroAsia is a company engaged in aircraft maintenance or known as Maintenance Repair and Overhoul (MRO). PT GMF AeroAsia always tries to improve its performance through increased manhours productivity. If the productivity productivity increases every year, the company's revenue or revenue can increase as well, thus the company will progress and develop to be equal to the world's top ten (10) Maintenance and Overhoul (MRO) companies as the vision of PT GMF AeroAsia is to become a top ten MRO in the World. Therefore, the research will be carried out by analyzing the performance through manhours productivity in every maintenance project in the base maintenance, especially in cabin base maintenance. In this study, an executive information system (EIS) in the form of a dashboard for decision makers such as managers, general managers and vice presidents will be proposed. The aim is as a source of information to identify, control performance and can help and support as a source of information for leaders in deciding wise and strategic decisions on performance, especially the performance of cabin base maintenance units at PT GMF AeroAsia
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.
MYANIMACH – Aplikasi Mobile Untuk Membantu Binatang Yang Diabaikan Akbar, Zaki Izzani; Nurfitriyani, Siti Julianingsih; Leonardo, Calvin; Rahajeng, Salicca Dewi; Spits Warnars, Harco Leslie Hendric
PETIR: Jurnal Pengkajian dan Penerapan Teknik Informatika Vol 12 No 2 (2019): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (595.996 KB) | DOI: 10.33322/petir.v12i2.478

Abstract

Currently, there is no specific platform to manage the adoption process for stray animals in Indonesia. This paper describes the design of a Mobile Application created to address this issue in Jakarta, named myAnimach. This app allows strays and potential adopters to meet their needs easier. myAnimach provides a user-friendly, generic user interface to help them find the strays that meet their criteria or make a post about strays in their neighborhood. Users who want to adopt or offer animals to be adopted can log in or create an account on myAnimach. If the user is interested in becoming an adopter, they need to fill the adoption form. There are several stages in the adoption process. The completion of all the stages will result in an issuance of an adoption letter from myAnimach. Aside from adopting animals, users can also look for adopters for their animals by filling out the upload form on the mobile application.