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Helmy Thendean
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Computer Science & IT Mathematics Other

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GAME KEBIJAKAN 8 DEWA Julyanto Wijaya; Jeanny Pragantha; Helmy Thendean
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 1 (2013): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v1i1.3079

Abstract

Game “Kebijakan 8 dewa” is an education game about 8 Gods for kids, especially  for kids who have parents that’s already a Xiao Yao Pai Taoism follower or Buddhists. The 8 Gods are Li Tie Guai, Zhong Li Quan, Zhang Guo Lao, Lu Dong Bin, Han Xiang Zi, Lan Cai He, Cao Guo Jiu, and He Xiang Gu. This games is dedicated for kids who wants to learn about 8 gods and morale education.
PERANCANGAN GAME EDUKASI HOUSE BUILDER William Surya Putra; Helmy Thendean
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 1 (2013): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v1i1.3096

Abstract

The House Builder Educational Game is an Educational Game with house constrcution and simulation genre which focuses on the process of building a house. The purpose of the Design is to build a house building educational game that can give elementry school age children the experience and knowledge of house building process. The house building process in this game consists of four main processes which are foundation building, strcuture building, roof building, and house finishing.The foundation building process consists of foundation material arrangement, cement mixture creation, foundation filling, and wall rail installation. House structure building process consists of wall building, door and window installation, and house stairs building. Roof building process consists of  truss creation, roof frame installation, and roof covering. House finishing process consists of floor tile installation and house painting. 
PERANCANGAN GAME LIVE FOR GYM Eronicel Ganni; Helmy Thendean
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 1 (2013): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v1i1.3069

Abstract

Simulation game merupakan salah satu jenis game yang dapat dimainkan oleh semua kalangan masyarakat. Game jenis ini bertujuan untuk mensimulasi sebuah kegiatan yang ada pada dunia nyata dan memberikan pengalaman kepada pemain.Game Live for Gym ini merupakan game bergenre simulasi yang berkisah tentang seorang pebisnis tempat fitness yang merintis usahanya dari nol sampai mencapai kesuksesan. Dia harus mampu melayani pelanggannya dengan baik dan mengikuti keinginan pelanggan dalam memainkan alat fitness yang diinginkan dengan benar hingga tempat fitness-nya semakin berkembang, mewah dan ramai pengunjungnya.Program dibuat dengan menggunakan perangkat lunak Adobe Flash CS 5.5 dan Action Script 3. Setiap modul telah diuji fungsi dan kegunaannya dan dapat disimpulkan bahwa game berjalan dengan baik
APLIKASI SISTEM PAKAR UNTUK MEMPREDIKSI HASIL PERTANDINGAN SEPAK BOLA MENGGUNAKAN DEMPSTER-SHAFER THEORY (DST) Govian Govian; Helmy Thendean
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 1 (2013): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v1i1.3072

Abstract

An expert system application for football match results prediction with Dempster-Shafer Theory (DST) which can predict victory, draw, or lose chances from a competing team in a football match. Predictions are performed based on factors which are home-away factor, match history, last match intervals of each team, numbers of absent key players, match motivation, players' abilities, coach presence, and betting odds for each team. Collected data will be processed to data that will be used for basic probability assignment (bpa) value calculation. The processed bpa value will be used for inference process based on Dempster-Shafer Theory (DST) calculation. The result is the highest belief value which will be used as a value for evidence probability calculation that resulted in belief value for lower limit and plausibility value for upper limit. The output which will be displayed are victory chance interval, draw chance, or lose chance interval for the competing team. From the test case which consists of 100 football match data, it can be inferred that the prediction accuracy is 62% based on factors described earlier
PENERAPAN ALGORITMA GENETIKA PADA METODE WINTERS UNTUK PERAMALAN NILAI TUKAR MATA UANG Andry Pratama Chiarli; Helmy Thendean
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 1 (2013): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v1i1.3060

Abstract

The appliance of Genetic Algorithm with Winters Method for currency exchange value prediction is an application which purpose is to predict currency exchange value in the next one timeline. The objective of the research is to create a prediction application for predicting the exchange value of Rupiah by using US Dollar as a comparison variable and Genetic Algorithm to find optimal parameter values which are used in Winters Method. The Winters Method is a method used for exponential interpolation which is usually called Three Exponential Interpolation Method that considers changes of seasons and trends. One of the problems that encountered in Winters Method application is finding the parameter values, which are  and . To find the solution for previous problem, then Genetic Algorithm is used to find the parameter values in order to perform optimization on Winters Method. The input uses actual data, then prediction is performed on the data by using Winters Method. The output is prediction value for the next period. The accuracy resulted from testing the exchange value between US Dollar to Rupiah is 99,81%.
Co-Authors Andry Pratama Chiarli Eronicel Ganni Govian Govian Jeanny Pragantha Julyanto Wijaya William Surya Putra