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Marlindia Ike Sari, S.T., M.T.
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International Journal of Applied Information Technology (IJAIT) Fakultas Ilmu Terapan Universitas Telkom; Gd. Selaru Lt. 3 - Jl. Telekomunikasi No. 1 Bandung
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IJAIT (International Journal of Applied Information Technology)
Published by Universitas Telkom
ISSN : -     EISSN : 25811223     DOI : https://doi.org/10.25124/ijait
Core Subject : Science,
Computer Science & IT
International Journal of Applied Information Technology covers a broad range of research topics in information technology. The topics include, but are not limited to avionics, bio medical instrumentation, biometric, computer network design, cryptography, data compression, digital signal processing, embedded system, enterprise information system, green energy & computing, interactive programming, internet of things, IT management and governance, IT-business strategic alignment, mobile and ubiquitous computing, monitoring system and techniques, multimedia processing, network security, power electronics, remote monitoring and sensing device, robotics and avionics, signal processing circuits, smart cities and smart grids, telecommunication devices & methods, telecommunication fundamentals.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 6 Documents
 1 
Search results for , issue "Vol 04 No 02 (November 2020)" : 6 Documents clear
A Comparison of The Predictive Ability between Logistic and Gompertz Model on COVID-19 Outbreak Tita Haryanti; Brian Pamukti
IJAIT (International Journal of Applied Information Technology) Vol 04 No 02 (November 2020)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v4i02.2909

Abstract

A predictive model can be learned using historical information. Thereafter, information about a running case is combined with a predictive model to estimate the case's remaining flow time. The predictive model is based on data from past events, which can be used to make predictions for current operating situations. For example, the case of coronavirus disease 2019 (COVID-19), which is currently infecting the whole world, including Indonesia, have influenced various aspects, ranging from the educational environment, business, economy, to the companies. Data scientists are urgently needed who can help organizations improve their operational processes. Therefore, this journal discusses the prediction of the peak number of COVID-19 cases in Indonesia, using two prediction models, logistic and Gompertz. The results obtained show that the Gompertz model has higher accuracy than the logistic model, with an accuracy of 99.85%. This journal's results are expected to help organizations estimate the time to rebuild themselves after being affected by COVID-19.
Implementation of Roll Control on Mini Remotely Operated Vehicle Andi Sugandi; Simon Siregar; Lisda Meisaroh
IJAIT (International Journal of Applied Information Technology) Vol 04 No 02 (November 2020)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v4i02.3437

Abstract

This paper describes the design and manufacture of an underwater explorer robot. The proposed Mini Remotely Operated Vehicle (ROV) is designed to be controlled remotely using a wireless communication module outside the water. ROV stability is needed to support the operation of ROV when do maneuvering in the water. The design of the ROV is aimed to maintain stability using a PID control system. Moreover, the gain PID values, kP gain, kI gain, and kD gain, must be set to perform roll stability. After performing a fine-tuning of the PID gain values, the experiment result shows that the system can maintain an average error of -1.70 degrees.
Study of Internet and Social Media Addiction in Indonesia during Covid-19 Setia Juli Irzal Ismail; Toni Kusnandar; Yeni Sanovia; Ratna Mayasari; Ridha Muldina Negara; Dimitri Mahayana
IJAIT (International Journal of Applied Information Technology) Vol 04 No 02 (November 2020)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v4i02.3423

Abstract

Since February 2020, Indonesia was struck by the Covid-19 pandemic. This led to the imposition of Large-scale Social Restrictions. The government issued a policy of working from home, learning from home, and worshiping at home. To carry out their activities from home, people are becoming increasingly dependent on the internet. With the increasing use of the internet during this pandemic, we are conducting a study on whether there is a phenomenon of internet addiction and social media in Indonesia. A survey of 2309 respondents from 31 provinces in Indonesia using Kimberley Young's Internet Addiction Test (IAT) has been conducted. After the data cleaning process to remove redundant data, only data from 2206 respondents were analyzed further with the binary logistic regression method. 25% of respondents were indicated with Internet addiction. High school students and college students tend to have a 1.7% higher risk of addiction. The length of time accessing e-commerce web and social media also increases the risk of internet addiction. YouTube and Instagram are social media applications that tend to pose a risk of addiction to respondents. A critical analysis of the Internet Addiction Test from a Philosophy of Science perspective was conducted. Finally, we formulate recommendations on strategies the government and society could take in dealing with the problem of internet addiction.
Artificial Neural Network Model with PSO as a Learning Method to Predict Movement of the Rupiah Exchange Rate against the US Dollar Eko Verianto; Budi Sutedjo Dharma Oetomo
IJAIT (International Journal of Applied Information Technology) Vol 04 No 02 (November 2020)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v4i02.3381

Abstract

The movement of currency exchange rate can be predicted in the next few days, this is used by economic actors to get profit. Artificial Neural Network with the backpropagation learning method is good enough to use for forecasting time series data, it's just that in its application this method was considered to have shortcomings such as a long training time to achieve convergence. The purpose of this research is to form a Multilayer Perceptron Artificial Neural Network model with the Particle Swarm Optimization (PSO) algorithm as a learning method in the case of currency exchange rate prediction. This research produced a model that can predict the movement of the Rupiah exchange rate against the US Dollar, while the model formed was the MLP-PSO model with an error rate of 5.6168 x 10-8, slightly better than the MLP-BP model with an error rate of 6.4683 x 10-8. These results indicated that the PSO algorithm can be used as a learning algorithm in the Multilayer Perceptron Artificial Neural Network.
Adaptation Atomic Design Method for Rapid Game Development Model Rickman Roedavan; Agus Pratondo; Bambang Pudjoatmodjo; Yahdi Siradj
IJAIT (International Journal of Applied Information Technology) Vol 04 No 02 (November 2020)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v4i02.3658

Abstract

Prototyping a game is a process to build the core game mechanics for use in the final game. This process is essential because it can save cost, time and reduce the potential for errors. There is a lot of study and research on the Game Development Life Cycle (GDLC). Some existing GDLC's were developed based on the waterfall model, while others were developed based on prototyping models. However, most of these models are not considered the cost and time factor. This research proposes a new Rapid Game Development (RGD) model, adapted from our previous work in developing the Game Mechanic Framework for Unity Game Engine. The experiment result showed that this method could be used to create a game faster while keeping the budget in mind during the development process.
DevOps Approach Embraces Forward and Reverse Engineering Acep Taryana; Ari Fadli; Eko Murdyantoro; Siti Rahmah Nurshiami
IJAIT (International Journal of Applied Information Technology) Vol 04 No 02 (November 2020)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v4i02.2865

Abstract

Modern software development methods such as Agile have given customers a flexibility to provide new requirement input when development is on progress, but customers cannot access released products during development. Nowadays, DevOps is a new method of software development that is the solution to these problems. In general, the DevOps Method does not emphasize complete system requirements at the beginning of development. Instead, the formulated requirements are immediately drafted in the model, implemented, and deployed, so the customer quickly obtains an overview of the product. This paper aims to discuss forward and reverse engineering software development in DevOps infrastructure. This paper is limited to the discussion side of software development engineering, it does not discuss the side of daily operations such as the discussion of web servers and other subsequent processes. Through a case of developing an internal quality assurance system at UNSOED, it was shown that forward and reverse engineering did not affect the stability of software development and operation using the DevOps method. The results of the study show that forward and reverse engineering are parts of development phase, be done because of the existence of new requirements from customers or improvement from developer itself, be done concurrently with the operation phase.

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