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Journal of Information Systems and Informatics
Published by Universitas Bina Darma
ISSN : 26565935     EISSN : 26564882     DOI : -
Core Subject : Science,
Computer Science & IT
Journal-ISI is a scientific article journal that is the result of ideas, great and original thoughts about the latest research and technological developments covering the fields of information systems, information technology, informatics engineering, and computer science, and industrial engineering which is summarized in one publisher. Journal-ISI became one of the means for researchers to publish their great works published two times in one year, namely in March and September with e-ISSN: 2656-4882 and p-ISSN: 2656-5935.
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Articles 25 Documents
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Search results for , issue "Vol 5 No 2 (2023): Journal of Information Systems and Informatics" : 25 Documents clear
Digital Innovation Design of Tourism Destination Marketing Website Using Design Thinking Method Stephen Aprius Sutresno; Yerik Afrianto Singgalen
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.464

Abstract

This study aims to design a marketing website for special interest tourism destinations in North Halmahera Regency. The method used is design thinking. The design thinking method has five stages: empathize, define, ideate, prototype, and test. At the empathize stage, the needs of system users are classified based on the characteristics of the user as a host or guest. In the define stage, the problem statement technique is used to define the problems and needs of users into four parts: lack of awareness and exposure, limited digital infrastructure, the limited availability of tourism-related infrastructure, and the lack of tourism-related data. At the ideation stage, the main problem identified related to the marketing of special interest tourist destinations is the lack of tourism-related data, so the idea to solve the problem is through the design of a website that accommodates all information about destinations and events, hotel accommodation services, resorts and cottages, vehicle rental services, and travel experiences to North Halmahera which are shared in the form of articles to short videos. At the prototype stage, the database and interface design are designed according to the analysis results at the empathize, define, and ideate stages. Furthermore, at the testing stage, aspirations about prototypes are carried out through posters and short videos to gain insight into the subsequent development. Thus, marketing special interest tourist destinations becomes more effective and efficient using a website-based digital platform.
Information Technology Risk Management in Educational Institutions Using ISO 31000 Framework Niken Lusia Putri; Agustinus Fritz Wijaya
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.468

Abstract

As information technology becomes increasingly integrated into daily business processes within educational institutions in Indonesia, the need to address potential risks associated with this integration has become crucial. This research focuses on analyzing information technology risk management in Indonesian educational institutions using the ISO 31000 framework. The study aims to minimize the occurrence and impact of various information technology risks that can disrupt organizational processes. Through a comprehensive examination encompassing risk assessment, analysis, evaluation, and treatment, this research provides valuable insights into identifying potential risks within educational institutions. Furthermore, the findings serve as a reference for formulating risk management policies, enabling institutions to proactively mitigate the possibility of information technology risks and their future impact. By adopting the ISO 31000 framework, educational institutions can enhance their efficiency, effectiveness, and accessibility while safeguarding against potential disruptions.
Syntactic Generation of Research Thesis Sketches Across Disciplines Using Formal Grammars Ismail Babajide Adewumi; Abejide Ade-Ibijola
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.470

Abstract

A part of the prerequisites for granting a degree in higher education institutions, students at postgraduate levels normally carry out research, which they do report in the form of theses or dissertations. Study has shown that students tend to go through difficulties in writing research thesis across all disciplines because they do not fully comprehend what constitutes a research thesis. This project proposes the syntactic generation of research thesis sketches across disciplines using formal grammars. Sketching is a synthesis technique which enables users to deliver high-level intuitions into a synthesis snag while leaving low-level details to synthesis tools. This work extends sketching to document generation for research thesis documents. Context-free grammar rules were designed and implemented for this task. A link to 10,000 generated thesis sketches was presented.
Investment Decision on Cryptocurrency: Comparing Prediction Performance Using ARIMA and LSTM Svend Pasak; Riyanto Jayadi
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.473

Abstract

The increasing popularity of cryptocurrencies as a means of financial inclusion for investment and trade has become a major concern for individuals seeking to benefit from the cryptocurrency market. This study aims to provide insights for cryptocurrency investors, financial sector professionals, and academics by utilizing machine learning techniques such as ARIMA and LSTM to compare the accuracy of modeling performance on datasets predicting the prices of five cryptocurrencies, namely Bitcoin, Ethereum, Binance Coin, Tether, and Cardano. Data was obtained by downloading from the Yahoo Finance website using Jupyter notebook. The LSTM method outperformed the ARIMA method, achieving a lower MAPE value of less than 10 percent and effectively capturing price movements, providing valuable information for decision-making.
Case Study Analysis of the Use of Cloud Computing for Assessing Big Data Risks Fadi Fataftah; Bassey Isong
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.478

Abstract

Risks associated with adopting big data and cloud computing and exposing sensitive information must be evaluated as usage of these technologies continues to rise rapidly within businesses. Also, the company needs to investigate the potential consequences of cyber security threats, considering the severity of those risks. There has been no comparative analysis of the risk assessment methods available to businesses in various nations. Thus, the researcher in this study asked forty people from four countries (Canada, Jordan, South Africa (SA), and the United Kingdom (UK)) questions on the risk assessment procedures at their respective organizations using semi-structured interviews. After compiling and analyzing the data, it became clear that Canada and the UK were the frontrunners in adopting big data and cloud computing. It also demonstrated that Jordan and SA are in the early phases of an evolving adoptive relationship. Recommendations are made to strengthen the organization's standing in light of the different risk assessment frameworks used in each country.
Supplier Evaluation at Small-Medium Enterprise Using Simple Additive Weighting Raymond Sunardi Oetama; Fernando Jose Armando
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.479

Abstract

This study focuses on the importance of information systems in today's intensely competitive business landscape. Companies of all sizes rely on information systems to stay afloat, streamline operations, and make informed decisions based on accurate data. To remain competitive, a medium-sized company specializing in vending motorcycle accessories and spare parts faced various challenges, including determining the best supplier for each item. To address this issue, a decision support system was developed using the Simple Additive Weighting technique. This method calculates the weighted sum of performance evaluations for each option based on all qualities. The system underwent user acceptance testing and achieved a flawless success rate of 100%. Overall, this study highlights the crucial role of decision support systems in enabling businesses to make strategic decisions based on accurate and reliable data.
A Framework for An Integrated E- Government System for Public Service Sectors in Developing Countries Using Design Science Research Methodology Yolande Rijarua; Jude Osakwe
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.484

Abstract

This study aimed to develop an integrated framework to enhance government services and improve service delivery for the Namibian government. The Delone and McLean Information Systems success model and the Organizational Information Processing Theory served as the theoretical foundations for this study. The target population consisted of members of the public and a Government Ministry in Namibia. A sample size of 25 participants was selected for the study, utilizing the purposive sampling technique for government employees and the snowball sampling technique for members of the public. Thematic analysis was employed to analyze the data gathered. The study's findings revealed several significant insights. Despite the existence of multiple e-government systems, poor integration among them hindered the ability of the Namibian public service to provide effective and efficient services to citizens. Additionally, the study identified a strong demand from the public for services to be more accessible, convenient, and responsive, including a preference for online applications and faster service delivery. Moreover, the study developed an integrated e-government framework specifically tailored for the Namibian public service, aiming to enhance accessibility, convenience, responsiveness, and cost-effectiveness of services provided to citizens. The implementation of this framework is expected to promote an open and accountable government. It is crucial to emphasize that the successful achievement of e-Government goals relies on factors such as political leadership, support across all government levels, key infrastructure, skilled human resources, a suitable legal and regulatory framework, information resources, and citizen-centric services.
Forecasting Brown Sugar Production Using k-NN Minkowski Distance and Z-Score Normalization Elindra Ambar Pambudi; Akhitya Ghany Fahrezi; Abid Yanuar Badharudin
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.485

Abstract

The demand for brown sugar products often falls below the level of production, resulting in unsold goods when market demand surpasses the production capacity. This paper addresses the challenge faced by many brown sugar businesses in estimating production yields. Another issue, apart from production uncertainty, is the presence of a dataset with a significant nominal range. The study focuses on a specific brown sugar producing company in Indonesia. To address the production estimation problem, this research proposes the use of k-NN supervised learning as a forecasting method. However, instead of relying solely on k-NN, the study suggests employing z-score normalization to handle the dataset's large nominal range. The production data used for analysis spans from March 2019 to February 2022, comprising 144 weekly records. The dataset is divided into training and testing data, employing an 8:2 split validation ratio. The proposed method consists of several steps, including data normalization using z-score, processing k-NN based on the Minkowski distance, and concluding with the de-normalization process. The results demonstrate the successful implementation of the proposed method in predicting production levels. The evaluation indicates an average error margin of 3.34%, which is below the 5% threshold. The evaluation of predictive data for k-NN with z-score normalization proves effective in forecasting brown sugar production uncertainty and addressing the challenge of a large nominal range.
Strategic Planning for Student Guidance Information System Design in Tourism Department using Ward and Peppard Framework Yerik Afrianto Singgalen
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.486

Abstract

This study examines the challenges faced by students during the thesis completion process, including miscommunication, document loss, and difficulty scheduling guidance sessions. To address these issues, Ward and Peppard's method was utilized to design a strategic plan for the Tourism Department at Atma Jaya Catholic University of Indonesia. The research findings reveal that the implementation of the student guidance information system, "SIBIMA," results in an efficient and effective process for student registration, supervisor verification, document upload/download, manuscript correction, and monitoring of student progress. Furthermore, the SWOT analysis, Value Chain, Critical Success Factor (CSF), Porter Five Forces model, and McFarlan Grid Portfolio demonstrate that SIBIMA effectively utilizes strengths to overcome weaknesses and minimize threats.
Machine Learning Approach for Credit Score Predictions Tsholofelo Mokheleli; Tinofirei Museba
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.487

Abstract

This paper addresses the problem of managing the significant rise in requests for credit products that banking and financial institutions face. The aim is to propose an adaptive, dynamic heterogeneous ensemble credit model that integrates the XGBoost and Support Vector Machine models to improve the accuracy and reliability of risk assessment credit scoring models. The method employs machine learning techniques to recognise patterns and trends from past data to anticipate future occurrences. The proposed approach is compared with existing credit score models to validate its efficacy using five popular evaluation metrics, Accuracy, ROC AUC, Precision, Recall and F1_Score. The paper highlights credit scoring models’ challenges, such as class imbalance, verification latency and concept drift. The results show that the proposed approach outperforms the existing models regarding the evaluation metrics, achieving a balance between predictive accuracy and computational cost. The conclusion emphasises the significance of the proposed approach for the banking and financial sector in developing robust and reliable credit scoring models to evaluate the creditworthiness of their clients.

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