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Clara Hetty Primasari
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INDONESIA
Indonesian Journal of Information System
Published by Universitas Atma Jaya Yogyakarta
ISSN : 26230119     EISSN : 26232308     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 192 Documents
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Machine Learning for Clustering Regencies-Cities Based on Inflation and Poverty Rates in Indonesia Rendra Gustriansyah; Juhaini Alie; Ahmad Sanmorino; Rudi Heriansyah; Megat Norulazmi Megat Mohamed Noor
Indonesian Journal of Information Systems Vol. 5 No. 1 (2022): August 2022
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v5i1.5682

Abstract

The COVID-19 pandemic has increased inflation and poverty rates in many cities, thus requiring considerable attention from the government as a policymaker. Therefore, this study aims to cluster regencies/cities that need mitigation priorities from the Indonesian government based on inflation and poverty rates in 2021. Four machine learning methods, namely k-Means (KM), Partitioning around medoids (PAM), Ward, and Divisive analysis (Diana) are utilized and compared to achieve that purpose. Clustering 90 regencies/cities in Indonesia produced five optimal clusters. Furthermore, the clustering results were validated using the Silhouette width (SW) and Dunn index (DI). The results showed that the k-means method produced the most compact cluster. Hence, this study's results can be utilized as a reference for the government in determining the steps and priorities of economic policy in Indonesia.
Translator of Indonesian Sign Language Video using Convolutional Neural Network with Transfer Learning Sesilia Shania; Mohammad Farid Naufal; Vincentius Riandaru Prasetyo; Mohd Sanusi Bin Azmi
Indonesian Journal of Information Systems Vol. 5 No. 1 (2022): August 2022
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v5i1.5865

Abstract

Sign language is a language used to communicate by utilizing gestures and facial expressions. This study focuses on classification of Bahasa Isyarat Indonesia (BISINDO). There are still many people who have difficulty communicating with the deaf people. This study builds video-based translator system using Convolutional Neural Network (CNN) with transfer learning which is commonly used in computer vision especially in image classification. Transfer learning used in this study are a MobileNetV2, ResNet50V2, and Xception. This study uses 11 different commonly used vocabularies in BISINDO. Predictions will be made in real-time scenario using a webcam. In addition, the system given good results in the experiment with an interaction approach between one pair of deaf and normal people. From all the experiments, it was found that the Xception architectures has the best F1 Score of 98.5%.
System Dynamics Modeling of Multi-Channel Supply Chain System: A Hypothetical LPG Distribution with Disloyal Household Customers Petrus Setya Murdapa; Putu Dana Karningsih; I Nyoman Pujawan
Indonesian Journal of Information Systems Vol. 5 No. 1 (2022): August 2022
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v5i1.6025

Abstract

The availability of LPG in the community is a sensitive issue. If there is a shortage, it has the potential to cause chaos and inflation. The final consumers, namely households and micro business stalls, will generally be disloyal. They are not tied to one particular store to get the LPG they need. Since the number of tanks in circulation will remain constant, the analysis of LPG availability can be focused on the number of tanks. Continuous simulation method with system dynamics is generally used in system growth analysis. In this paper the method is utilized to model the discrete movement of tanks circulating in the community which in this case is represented in a much smaller system, consisting of filling stations, agents, and stores. The modeling results provide a sufficient picture of how the availability of the tank can be optimized appropriately.
Implementation of Group-Based Human Movement Model in Opportunistic Network Vittalis Ayu; Bambang Soelistijanto
Indonesian Journal of Information Systems Vol. 5 No. 1 (2022): August 2022
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v5i1.6164

Abstract

As an instance of a distributed computing system, opportunistic networks facilitate message dissemination in a store-carry-forward manner. In this setting, the mobile devices are communicating in opportunistic contacts as they move across the network areas. However, the movement of these mobile devices is exclusively reliant on the mobility of their human owner, thereby limiting the likelihood of contact. The current state of the art typically simulates human movement based on randomness, which is unsuitable for representing how people move in groups. Therefore, this paper proposes an implementation of a group-based human mobility model to simulate device-to-device communication in opportunistic networks. In this model, individuals are able to move as a set within a group and have the ability to join and leave the group dynamically We built the model in BonnMotion and subsequently implemented it in an opportunistic environment simulator, ONE Simulator. To evaluate the proposed model, we compared them to the random-based model as a benchmark. Subsequently, we assess the impact of the movement model on two major areas of network performance: message delivery performance and resource utilization, such as nodes’ energy consumption. We are concerned about these aspects since the mobile agents have limited resources yet are expected to achieve a high rate of message delivery as well. The simulation results show that our model outperformed the random-based model in terms of the number of successfully delivered messages and average delay. However, the number of message replications and the energy consumption is fairly higher than those of the benchmarks.
BarkDroid: Android Malware Detection Using Bark Frequency Cepstral Coefficients Paul Tarwireyi; Alfredo Terzoli; Matthew O. Adigun
Indonesian Journal of Information Systems Vol. 5 No. 1 (2022): August 2022
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v5i1.6266

Abstract

Since their inaugural releases in 2007, Google’s Android and Apple’s iOS have grown to dominate the mobile OS market share. Currently, they jointly possess over 99% of the global market share with Android being the leading mobile Operating System of choice worldwide, controlling close to 70% of the market share. Mobile devices have enabled the exponential growth of a plethora of mobile applications that play key roles in enabling many use cases that are pivotal in our daily lives. On the other hand, access to a large pool of potential end users is available to both legitimate and nefarious applications, thus making mobile devices a burgeoning target of malicious applications. Current malware detection solutions rely on tedious, time-consuming, knowledge-based, and manual processes to identify malware. This paper presents BarkDroid, a novel Android malware detection technique that uses the low-level Bark Frequency Cepstral Coefficients audio features to detect malware. The results obtained outperform results obtained using other features on the same datasets. BarkDroid achieved 97.9% accuracy, 98.5% precision, an F1 score of 98.6%, and shorter execution times.
Meranti Island E-Government Master Plan: A Root Cause and SWOT Analysis Tenia Wahyuningrum; Gita Fadila Fitriana; Arief Rais Bahtiar; Aina Azalea Ardani; Imelda Imelda; Teotino Gomes Soares
Indonesian Journal of Information Systems Vol. 5 No. 2 (2023): February 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v5i2.6086

Abstract

The government has established a development program for the development of Information and Communication Technology with the term e-government. The implementation of e-government in government governance and public services certainly requires the use of information and communication technology (ICT) along with reliable human resources to manage it. There is still a reasonably high gap between the EBGS maturity level of the central agency and the index, and the local government is a challenge for the Meranti Islands Regency. To realize its vision and mission, the Meranti Islands Regency has made various efforts for transparency, accountability, good governance, and efficiency of government administration supported through ICT. The purpose of this research is the mapping of ICT utilization data in Meranti Islands Regency and the results of the identification of the obstacles that occur using GAP Analysis. GAP analysis uses Root Cause Analysis (RCA) and SWOT analysis for its analysis. The GAP analysis results show that based on the SWOT analysis, 18 strengths, 19 weaknesses, 12 opportunities, and 12 thread ats in the application of ICT are obtained, which are divided into 6 components. Based on the Root Cause Analysis, it was found that the main problem was caused by the low capacity of human resources in the application of ICT, as well as insufficient hardware/software requirements. For the study results study, it can be concluded that a SWOT analysis equipped with Root Cause Analysis can be used for strategic planning for implementing EBGS in the next fiveyears.
Applying the Think-Aloud Method for Usability Analysis in the Peking Metagamelan Virtual Reality Learning Application Patricia Meta Pudya Astari; Clara Hetty Primasari; Djoko Budiyanto Setyohadi; Yohanes Priadi Wibisono; Mutiara Cininta
Indonesian Journal of Information Systems Vol. 5 No. 2 (2023): February 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v5i2.6605

Abstract

The rapid development of technology affects people’s lives, including education, and virtual reality is one of many digital learning media that can be useful for learning. Virtual reality allows users to interact with the environment through a virtual world. With this concept in mind, an application to support gamelan learning based on Virtual Reality was developed called Peking Metagamelan Virtual Reality. Peking is a gamelan instrument made of bronze with rectangular blades. This application needs to know the user’s opinion regarding its performance and usability in its development. Therefore, the Think-aloud method assisted in the usability analysis process in the VR Metagamelan Peking application. The Think-aloud approach helps to express what the user feels and thinks when using the application. The research process involved five respondents from various educational backgrounds and different experiences. Respondents were asked to work on several task scenarios that were ordered. During the task scenario, respondents were asked to convey their thoughts regarding the application they were trying. The results were then analyzed and produced some recommendations for further improvements to the VR Metagamelan Peking application. The recommendations included improving the application interface, adding several features, and reducing the character’s speed.
The Identification of Covid-19 Fake News Factors on Social Media in Indonesia Chotijah, Umi; Husenti , Nadya; Sutaji, Deni; Mahditya Indra Pratama, Angga
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.6613

Abstract

Social media is a protocol for people’s interaction and disseminating new ideas. The spread of fake information can occur on social media because there is no control and verification from the legal account. During the COVID-19 corona virus outbreak, the government issued a self-isolation policy. However, people use social media to find information about COVID-19 and spread news about COVID-19 greedily, especially in Indonesia. Therefore, this study explores the factors influencing the spread of fake news related to COVID-19. The sampling used in this study was non-random/non-probability sampling with the Convenience Sampling technique, including two hundred and twenty-two respondences from several regions in Indonesia. These phenomenons are studied using the Uses and Gratification framework by eliminating entertainment variables, adding altruism motivation, and adding moderating variables for demographic factors of individual psychological well-being, including age, education, income, and gender. Data were analyzed using Smart Partial Least Squares (PLS) to determine the effect of five variables. The analysis results show that all the variables, e.g., altruism, socialization, time elapsed, information sharing, and information seeking, as well as moderating variables and demographic factors of individual psychological well-being have no positive and significant effect on the spread of fake COVID-19—news on social media in Indonesia.
The Essential Factors and Trend Development of IoT Smart Box Surjandy; Meyliana; Condrobimo, Andreas Raharto; Eka Widjaja, Henry Antonius; Atmadja, Wiedjaja; Susanto, Rudy; Sablan, Bruno
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.6794

Abstract

Boxes for drug storage are handy and essential and play a role in helping the healing process and support maintaining patient health regularly for a long time. SmartBox is not a new thing, but because of its importance, it, SmartBox continues to be developed to date according to the needs needed. In previous research, the formation of SmartBox was only for particular things. This study tries to unify the 17 papers obtained with the help of a publish and perish application which is then carried out a literature review and using the VosViewer application to get an overview of trend development and the essential factors or aspects in the formation of SmartBox and its development. In addition to getting the trend of SmartBox development, this research also finds seven essential factors that will be useful for Smartbox development. With this research, it hopes that it will facilitate the development of SmartBox in the future.
System Dynamic Analysis of the Fleet Availability and Reliability Influence on the Lead Time of the Delivery Order Process Windyaningrum, Theresia Liris; Indrawati, Chatarina Dian; Long, Zalizah Awang; Prasetyo, Vinsensius Widdy Tri; Waloyo, Lorensius Anang Setiyo; Murdapa, Petrus Setya
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7049

Abstract

The inventory replenishment process in the warehouse becomes difficult if there is uncertainty. It can cause warehouse performance not to be as expected. The warehouse is an important part of the supply chain subsystem, which smooths the flow of goods from upstream to downstream throughout the system. This paper uses system dynamics modeling to analyze the replenishment of raw materials where there is randomness in availability and reliability and their effects on the delivery lead time of the fleet. The model obtained is much simpler but more robust when compared to the analytical-mathematical model or the discrete-events simulation. Tests on the model show that the model can behave as it should logically. Several experiments were conducted to see how fleet availability's reliability can affect the delay in receiving or delivery lead time. One interesting thing revealed is that reliability does not have to be 100%, but there is a certain minimum threshold for the system to perform well. This is different from availability, which must be 100%.

Page 12 of 20 | Total Record : 192

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