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Desain Model Data Warehouse dengan Contoh Kasus Perguruan Tinggi Spits Warnars
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 3, No 1 (2010): Journal of Industrial Engineering and Management Systems (JIEMS)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v3i1.70

Abstract

The growth high education has been raising the competition in high education market and Data Warehouse can be used as an effective technology weapon for going to battle in high education competition market. Data Warehouse can produce the reliable reports for high level management on high education in short time in order to make the faster and best decision making for not just only increasing number of students, but possibility to find mining fund which have never thinking before limited by high education ordinance. The reports which produce by Data Warehouse are made based on database which summarization transaction database can be trusted and far from manipulation, different with old producing reports based on transaction database which need to be questioned and need time to produce, need manipulation for the result, cannot be trusted and could be have different results if differentiate to other systems. Data Warehouse will be modeled with dimension business concept and be created based on hypercube which produced based on high demand reports which usually used by high level management. In every fact and dimension table will be inserted with fields which represent the construction merge loading as an ETL (Extraction, Transformation and Loading) extraction.Keywords: Data Warehouse, High Education, Hypercube, Business Dimensional Concept
Matchmaking Problems in MOBA Games Muhammad Farrel Pramono; Kevin Renalda; Dedy Prasetya Kristiadi; Harco Leslie Hendric Spits Warnars; Worapan Kusakunniran
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.
Finding Features of Multiple Linear Regression On Currency Exchange Pairs Raymond Sunardi Oetama; Ford Lumban Gaol; Benfano Soewito; Harco Leslie Hendric Spits Warnars
ULTIMA InfoSys Vol 13 No 1 (2022): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v13i1.2683

Abstract

Due to the prospects for financial gain, forex is always attractive to many people. However, because forex market analysis is not simple, a computer is needed to assist in creating predictions using features that are understandable to people. This study employs the Multilinear Regression technique to identify these kinds of features. The features and prediction target have a very strong correlation. With a very low RMSE and a very high R square, the prediction quality is quite outstanding. The outcome will help academics in the forex field use machine learning algorithms to make better predictions.
The Development of Intelligent Tutoring System in The Military Schools Kurniawan, Bobi; Meyliana, M.; Warnars, Harco Leslie Hendric Spits; Suharjo, Bambang
ASEAN Journal of Science and Engineering Vol 3, No 3 (2023): AJSE: December 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ajse.v3i3.57917

Abstract

The rapid and fast development of technology affects many aspects of life, especially in the field of education. The application of technology in education is needed to support a more effective and efficient learning process without any space and time constraints. An example is the implementation of the Intelligent Tutoring System (ITS) which is often known as an intelligent learning system. An ITS in the field of military education is needed to produce professional military graduates/HR. Therefore, researchers will examine trends in research development and updates on ITS technology in the military field. Efforts to achieve research objectives are carried out using the Systematic Literature Review method with bibliometric analysis or VOSviewer. The purpose of this study is to become a reference for determining research topics on ITS in the field of education, especially the military.
Development of Intelligent Tutoring System Model in the Learning System of the Indonesian National Armed Forces Completed with Bibliometric Analysis Kurniawan, Bobi; Meyliana, M.; Warnars, Harco Leslie Hendric Spits; Suharjo, Bambang
ASEAN Journal of Science and Engineering Vol 4, No 2 (2024): AJSE: September 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ajse.v4i2.70375

Abstract

This research aims to develop and design an Intelligent Tutoring System (ITS) model to improve the efficiency and adaptability of the learning process using technology based on student personalization. This study employs a systematic literature review method, as well as bibliometric analysis and visualization using the VOSviewer application. We collected data from several well-known article databases. The results showed an intelligent tutoring system model to be connected to five components and 22 sub-components. These components consist of a student model, a pedagogical model, an interface model, a tutor model, and a domain model. Thus, these components and sub-components produce a responsive student model that can be used to develop a learning system within the Indonesian National Armed Forces. The responsive student model not only assesses students' visual, auditory, or kinesthetic learning styles but also gauges their emotions or concentration levels during the learning process. This development not only increases learning effectiveness but also improves student learning experiences and supports adaptive and sustainable academic growth.
Data Monetization Service Development Using Iterative Lifecycle Framework, Quality Assurance, and Open Web Application Security Project: A Case Study of a Utility Company in Indonesia Kusuma Atmaja, Wahyu Haris; Warnars, Harco Leslie Hendric Spits; Gaol, Ford Lumban; Soewito, Benfano
CommIT (Communication and Information Technology) Journal Vol. 18 No. 2 (2024): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v18i2.10293

Abstract

The research aims to provide Data Monetization (DM) services for an Indonesian utility company as a pilot to generate additional revenue beyond the primary operation. The service is built using an iterative development lifecycle framework and evaluated based on five Quality Goals (QGs), including application and security testing activities. The framework includes methods for processing and modeling electricity usage data, testing application quality, checking infrastructure quality, and ensuring access security for front-end and back-end applications using the Open Web Application Security Project (OWASP). For data modeling, Support Vector Regression (SVR) is used, and it outperforms Polynomial Regression (PR) and Multi-Layer Perception (MLP) Neural Networks. Furthermore, QG shows strong performance with an Relative Root Mean Squared Error (RRMSE) value < 10%, high forecasting ability with Mean Average Probability Error (MAPE) < 10%, and a near-zero average error rate (Mean Squared Error (MSE)) square using minimal data from four months. The services go through functional and integration test to ensure product quality and application performance, which results in a minimum of 95% service response in throughput, 0.128 seconds for processing 2,000 requests, stability at 300–500 in one second per hour, and 7–21 seconds during peak hours. Additionally, the service passes nine penetration tests and ten vulnerability assessments using the OWASP top 10:2021 category. Based on the comprehensive testing and evaluation results, both the application and the service are considered ready and secured for deployment.
How does natural language processing identify the issues? Assiroj, Priati; Alam, Sirojul; Spits Warnars, Harco Leslie Hendric
Indonesian Journal of Electrical Engineering and Computer Science Vol 36, No 1: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v36.i1.pp357-366

Abstract

Product innovation and service improvement have become essential or crucial for organisations, including public service organisations. The Indonesia Immigration Directorate released the m-passport application to enhance its quality of service. The m-passport application is considered good as it has been downloaded over a million times. Like immigration officers, this application seems to be at the forefront, reflecting an increasingly better service. However, there was still a need for significant improvement in the application. Improvements can be made to the application by considering user feedback or reviews. Reviews provided by users, approximately 12K, will serve as input for improving or enhancing the application. This was made possible as users interacti directly with the application. The most common issues are one-time password or OTP verification code with a probability value of 0.044, errors when logging in with a probability value of 0.283, and slow response applications with a probability value of 0.125.
PEMODELAN ELEARNING PERGURUAN TINGGI DENGAN MENGGUNAKAN FRAMEWORK LEARNING TECHNOLOGY SYSTEM ARCHITECTURE (LTSA) DAN UNIFIED MODELING LANGUAGE (UML) Warnars, Harco Leslie Hendric Spits
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 15, No. 1, Januari 2017
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v15i1.a634

Abstract

Saat ini, perguruan tinggi sebagai motor pencerdas bangsa dituntut untuk lebih melek dengan perkembangan informasi teknologi, perkembangan peralatan komunikasi dan jaringan internet berkecepatan tinggi saat ini. Pendidikan di perguruan tinggi dituntut untuk mampu mengarahkan mahasiswa untuk lebih mandiri dan mampu menggunakan teknologi pembelajaran elearning, yang pada akhirnya akan mempengaruhi kemampuan mahasiswa ketika bekerja dan terjun ke dalam masyarakat. Pengembangan sebuah Elearning sebagai sebuah software aplikasi dapat dilakukan dengan berbagai macam metodologi atau framework dan salah satunya adalah framework Learning Technology System Architecture (LTSA) yang merupakan standar 1484.1-2013 dari Institute of Electrical and Electronics Engineers (IEEE) untuk teknologi pembelajaran. Standar IEEE 1484.1-2013 dikembangkan oleh IEEE Learning Technology Standards Committee (LTSC) yang merupakan bagian dari IEEE Computer Society dan diterbitkan pada tahun 2013. Pengembangan elearning dengan framework LTSA akan menerapkan atau memetakan komponen proses dan penyimpanan data pada LTSA dengan menggunakan metode pengembangan berorientasi obyek yang disebut Unified Modeling Language (UML). Penerapan framework LTSA dalam mengembangkan elearning dibatasi pada penggunaan beberapa diagram pada UML seperti sequence diagram, use case diagram, class diagram, package diagram, activity diagram dan component diagram. Penggunaan UML pada pengembangan elearning dengan menggunakan framework LTSA diharapkan dapat memberikan pencerahan bagaimana membangun sebuah elearning dengan paradigma berorientasi obyek. Beberapa contoh penerapan diagram UML dalam pengembangan elearning diberikan sebagai gambaran bagaimana sebuah elearning dikembangkan dengan framework LTSA. Pada akhirnya perguruan tinggi yang mengabaikan teknologi dalam proses pembelajaran akan tidak menarik dan ditinggalkan oleh masyarakat yang semakin peduli dan menikmati teknologi sebagai bagian dari kehidupan manusia.
Comparison of Xbox One and Steam Joystick-based Operating System User Interface using KLM- GOMS Dodick Zulaimi Sudirman; Yaya Heryadi; Harco Leslie Hendric Spits Warnars; Benfano Soewito; Ford Lumban Gaol; Edi Abdurachman
Journal of Games, Game Art, and Gamification Vol. 5 No. 2 (2020): Special Issue: International Conference of Games, Game Art and Gamification (IC
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v5i2.7480

Abstract

Despite having many advances in video game control such as voice or gesture control, most video game console manufacturers still use a joystick as the main control for their console. Currently, the problem with video game manufacturers is that instead of using the joystick as the point of user interface design, they instead used a design from another device such as a computer or tv. The research will compare Xbox One and Steam OS user interface by using KLM-GOMS Model. Based on the calculation it is concluded that the overall Xbox One has a more efficient design compared to Steam.
Perancangan Data Warehouse Penjualan (Studi Kasus Pt. Subafood Pangan Jaya) Sugiarto, Dian; Spits Warnars, Harco Leslie Hendric; Winarno, Winarno
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 4, No 1 (2020): SEMNAS RISTEK 2020
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v4i1.2573

Abstract

Penjualan merupakan suatu hal yang penting bagi keberlangsungan hidup suatu perusahaan. Kegiatan penjualan merupakan kegiatan utama perlu untuk dikelola secara baik agar perusahaan tidak selalu mengalami kerugian. Pada penelitian ini penulis akan menoba untuk melakukan perancangan Data Warehouse yaitu sebuah lokasi penyimpanan data yang mempunyai ukuran yang sangat besar, bersifat historis dan dapat dipergunakan untuk memberikan dukungan kepada pimpinan perusahaan dalam mengambil keputusan. Dalam penelitian ini juga akan merancang sebuah Data Warehouse sebagai repository penjualan yang diterapkan menggunakan Pentaho Data Integration Software. Hasil dari Penelitian ini adalah Sebuah rancangan Data Warehouse yang dapat digunakan sebagai repository data-data penjualan.
Co-Authors Achmad Imam Kistijantoro Adrian Randy Pratama Adrian Setyawan Afrilia Astari Agung A. Pramudji Agung Trisetyarso Alam, Sirojul Andhika Prasetyo Andy Julianto Antoine Doucet Arif Fahrudin Arif Fahrudin Assiroj, Priati Aswan Supriyadi Sunge Benaya Oktavianus Oktavianus Benfano Soewito Benfano Soewito Bobi Kurniawan, Bobi Calvin Leonardo Christopher Samuel Christy, Jessica Damayanti, Damayanti Darren Kent Jeremy, Darren Kent Dedy Prasetya Kristiadi Dodick Zulaimi Sudirman Edi Abdurachman Edi Abdurachman Endang Kusnadi Endang Kusnadi Epafras Suria, Epafras Erick Erick Erick Fernando Ersa Andhini Mardika Evan Fabian Rahardja Fauzi Megantara Ferry Sudarto Ford Lumban Gaol Ford Lumban Gaol Ford Lumban Gaol Ford Lumban Gaol, Ford Lumban Gilbert Xervaxius Naphan Hesananda, Rizki Hintarsyah, Aristo Putramasi Ida Farida Ignasius Raffael Santoso Joshua Dylan Jovano Edmund Friry Junaidi Junaidi Kevin Dynata Kevin Renalda Kharis Munawar Kiyota Hashimoto Kusuma Atmaja, Wahyu Haris Lukman Adyana Megantara, Fauzi Melvin Ismanto Meyliana Meyliana Meyliana, M. Muhammad Farrel Pramono Muhammad Naufal Mu’azzi Naufal Rayfi Hafizh Nizirwan Anwar Nuruliyani, Nuruliyani Po Abas Sunarya Pramudito, Dendy K. Priati Assiroj Rakhmat Arianto Randy Dwi Raymond Sunardi Oetama Richard Randriatoamanana Safrizal Safrizal Salicca Dewi Rahajeng Sandi Martono Sianipar, Nesti Fronika Siti Julianingsih Nurfitriyani suaidah suaidah Sudaryono Sudaryono Sugiarto, Dian Suharjo, Bambang Suroto Adi Tanty Oktavia, Tanty Wibowo, Adi Winarno Winarno Wiranto Herry Utomo Worapan Kusakunniran Yaya Heryadi Yaya Heryadi Yulia Lanita Zaki Izzani Akbar