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INDONESIA
Journal of Information Systems and Informatics
Published by Asosiasi Doktor Sistem Informasi Indonesia
ISSN : 26565935     EISSN : 26564882     DOI : 10.63158/journalisi
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.
Arjuna Subject : -
Articles 653 Documents
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Analysis of Travel Agent Online Marketing Strategies on Social Media Content Using Sentiment Analysis and Social Network Analysis Isya', Ana Diyanti Khoirul; Suratno, Bambang; Azzam, Abdullah
Journal of Information System and Informatics Vol 5 No 4 (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.v5i4.630

Abstract

The growth and development of the internet users have given Indonesia an opportunity to develop internet-based services, such as online travel agents (OTA). Along with this OTA development, conventional travel agents were declining. Many conventional travel agents have decided to switch to online travel agents. The emergence of new OTAs has also made OTAs competition more challenging. Thus, a lesson learned from the market leader OTA is expected to help new OTAs surviving the competition. This research uses the sentiment analysis method to understand consumers' perceptions towards OTA and uses the social network analysis method to recognize actors who play significant roles in the travel agent business network. Lastly, the marketing strategies of the major and well-known OTAs perceived by online consumers was analyzed. Using the data collected from three major OTAs social media network (i.e., Traveloka, Tiket, and Booking), it was found that the general impression of consumers towards OTA is a positive sentiment. Furthermore, each key actor for each OTAs can be recognized. Lastly, marketing strategies can be proposed, namely by providing the complete product offerings, provide competitive price, creating special promos for consumers, promotion to be carried out on all social media using Bahasa Indonesia, and make the products offered available throughout Indonesia and can be used by everyone, especially travelers.
Optimizing Business Intelligence System Using Big Data and Machine Learning James, Gabriel Gregory; P, Oise G; G, Chukwu E; A, Michael N; F, Ekpo W; E, Okafor P
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.631

Abstract

The Business Intelligence (BI) and Data Warehouse (DW) system deployed in the Nigerian National Petroleum Corporation should provide cooperate decision makers with real-time information to help them identify and understand key business factors to make the best decisions for the situation at any given time. The relentless collection of data from user interactions have introduced both a high level of complexity, as well as a great opportunity for businesses. In addition to connecting not just people, but also machines to the internet, and then collecting data from these machines via sensors would result in an unimaginable repository of data. This ever-increasing collection of data is known as Big Data. Integrating this with existing Business intelligence systems and deep analysis using Machine Learning algorithms, Big Data can give useful insights into business problems and perhaps even to make suggestions as to when and where future problems will occur (Predictive Analysis) so that problems can be avoided or at least mitigated. This paper targets at developing a system capable of optimizing a business intelligence using big data and machine learning approach. The design of a system to optimize the Business Intelligence System using Machine Learning and Big Data at NNPC was successfully carried out. The System was able to automatically analyze the sample report under NNPC permission to use and it generated expected predictive outputs which serves as a better guide to managers. When applying Deep Learning, one seeks to stack several independent neural network layers that, working together, produce better results than the already existing shallow structures.
Predictions of Criminal Tendency Through Facial Expression Using Convolutional Neural Network James, Gabriel Gregory; Okafor, Peace Chiamaka; Chukwu, Emenike Gabriel; Michael, Nseobong Archibong; Ebong, Oscar Aloysius
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.635

Abstract

Criminal intention is a critical aspect of human interaction in the 21st-century digital age where insecurity is on the high side as a major global threat. Kidnapping, killings, molestation of all sorts, gender-based violence, terrorism, and banditry are the trends of criminality in our nation, as such, there is a need to effectively explore innovative means to identify and cope with this evil menace in our society. The facial positioning of humans can tell their evil intention even if they pretended to smile with the evil in their minds. In normal instances, it may be very difficult to predict the heart of man, but with the trending information technology like image processing, the state of a human face could be used as a means to read their tendencies. This paper proposes a deep learning model based on the FER2013 dataset through the implementation of a CNN model that predicts criminal tendencies with the help of facial expressions. With this goal in mind, we explore a new level of image processing to infer criminal tendency from facial images through a convolutional neural network (CNN) deep learning algorithm in other to discriminate between criminal and non-criminal facial images. It was observed that CNN was more consistent in learning to reach its best test accuracy of 90.6%, which contained 8 convolutional layers. To increase the accuracy of this model, several procedures were explored using Random Search from the Keras tuner library, testing out various numbers of convolutional layers and Adam optimizer. It was also noticed that applying the dissection and visualization of the convolutional layers in CNN reveals that the shape of the face, eyebrows, eyeball, pupils, nostrils, and lips are taken advantage of by CNN to classify the images.
A Review of Internet Use and Access for BRICS Sustainable Futures: Opportunities, Benefits, and Challenges Matli, Walter; Malatji, Masike
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.636

Abstract

Access to the internet and modern technologies have acted as a catalyst for increasing digital literacy skills in society over the last few decades. The use of modern technologies within society has accelerated disproportionately. Digital literacy and access to modern technology products have been described as beneficial to addressing the knowledge and skills deficit. Yet, insights concerning the comparisons of BRICS member countries in addressing literacy/digital skills and sustainable and affordable access to modern technology products, as well as internet delivery, remains nascent. The current literature lacks comparative studies on internet use and access. This study uses Technology Acceptance Model (TAM) constructs to better understand internet use and access among some of the BRICS member states. The purpose of this qualitative study is to carry out a review that compares internet use and access among the five member states. It is key to understanding trends in technology products, processes, people, and real-time data sharing among BRICS members. It draws on the available reports in English on internet access and use. Then, it analyses and provides a discussion on the relationships between different countries and possible opportunities. This study concludes that the affordability of internet access remains a challenge. The challenge is further exacerbated by the demand to have access before one is at liberty to effectively use it. On the other hand, the challenge for people with access to the internet is to understand and reap the full benefits of usage. These results are specifically discussed, with implications for research and practices within BRICS member states. Several limitations to the study are presented, which in turn opens up potential future research perspectives. In conclusion, BRICS members should continue forging strong links to navigate new opportunities and identified challenges.
COBIT 2019 Framework: Evaluating Knowledge and Quality Management Capabilities in a Printing Machine Distributor Beato, Jonathan; Fianty, Melissa Indah
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.638

Abstract

Within the realm of printing machine distribution, information technology assumes a critical role in streamlining business operations. This study addresses persistent challenges related to inaccurate inventory data and insufficient knowledge management in IT applications. Utilizing the COBIT 2019 framework to assess IT governance capability, qualitative data was collected through interviews to uncover prevailing issues. The findings underscore specific process objectives—APO11 (Managed Quality), BAI08 (Managed Knowledge), and DSS06 (Managed Business Process Controls)—highlighting the need for improved capability levels. For example, APO11 currently resides at level 3 while aiming for level 4, indicating a one-level discrepancy. Similarly, BAI08 and DSS06 are at level 2, signaling a collective two-level gap. Proposed enhancements center on bolstering IT knowledge management and procedural training to meet quality standards in future IT applications. These measures aim to strengthen organizations, aligning IT practices with business processes to ensure heightened quality and efficiency. Notably, this abstract intentionally omits explicit mention of the evaluated IT process, adhering to the specified guideline.
Today's Academic Research: The Role of ChatGPT Writing Chukwuere, Joshua Ebere
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.639

Abstract

The purpose of this study is to examine the place of ChatGPT writing in the current academic environment. Significant attention has been drawn to the amazing capacity of ChatGPT, a sophisticated language model created by OpenAI, to produce text answers that nearly mimic human speech. The current study examines ChatGPT's effects on a number of academic areas, including writing support, data analysis, literature reviews, and scientific cooperation. The paper looks at the benefits and drawbacks of using ChatGPT in academic research and offers some insight into prospective uses for this technology in the future. To efficiently respond to the research questions and accomplish the stated goals, the present study used a quick review of the literature technique. The study has discovered several ChatGPT uses in academic writing, including data gathering, teamwork, implications, and restrictions. The study also looked at how to prevent plagiarism in written work produced using ChatGPT. In conclusion, if ChatGPT is used wisely and responsibly, it has the potential to dramatically enhance and revolutionize academic research, enabling multidisciplinary cooperation.
Data Analytics Techniques for Addressing Cloud Computing Resources Allocation Challenges: A Bibliometric Analysis Approach Sekwatlakwatla, Sello Prince; Malele, Vusumuzi
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.640

Abstract

The increase in the use of digital technology led to an increase in online activities. In this regard, many organizations adopted cloud computing systems to manage this online traffic. It is plan of every cloud computing resource provider to manage their system effectively and efficiently. This paper uses bibliometric analysis technique to look at the prevalence of utilization of data analytics techniques in addressing cloud computing resource allocation challenges. In this regard, the following research databases the Association for Computing Machinery, the Institute of Electrical and Electronics Engineering, Web of Science and Scopus databases, were consulted. The research articles published before the beginning of 2017 to 2023 were considered as part of the analysis. The results showed that the prevalent data analytics techniques used to address the cloud computing resources allocation challenge are Support Vector Machine, Spatio-temporal and edge-cloud collaborative scheme. Failure to effectively and efficiently provide cloud computing management resource allocation will lead to system bottlenecks especially during peak periods. In this regard, such a failure could lead to dissatisfied clients.
SIOLGA Information Technology Risk Management Analysis Using ISO 31000 Mamuaja, Hizkia Brayn Minggos; Cahyono, Ariya Dwika
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.641

Abstract

Salatiga City Disperinnaker, a government agency focusing on industry and labor, has developed the Salatiga Job Vacancy Information System (SIOLGA) to streamline its operations. As the SIOLGA application has recently completed its development phase, there arises a necessity for robust risk management to anticipate potential threats and vulnerabilities. Employing ISO 31000 standards, the research aims to mitigate risks effectively. The ISO 31000 framework encompasses risk identification, analysis, evaluation, and treatment phases. Through this process, the study identified 18 potential risks within the SIOLGA application, categorized into three levels: high, medium, and low. Specifically, there are 5 high-level risks, 10 medium-level risks, and 3 low-level risks. By implementing rigorous risk management strategies, the expectation is for the SIOLGA application to operate more efficiently and optimally, fulfilling its intended objectives.
EnsembleForge: A Comprehensive Framework for Simplified Training and Deployment of Stacked Ensemble Models in Classification Tasks Essien, Ubong David; Ansa, Godwin Okon; Akpnobong, Aloysius
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.643

Abstract

In this work, we introduce EnsembleForge, a versatile framework designed to streamline machine learning experimentation and simplify classification tasks. Leveraging the stacking ensemble method, EnsembleForge offers an intuitive platform built upon the Scikit-learn library. This framework facilitates seamless model implementation and evaluation, supporting both Randomized and Grid Search for hyperparameter optimization. Our experiments with publicly available datasets demonstrate the ease of use and effectiveness of EnsembleForge in experimenting with various algorithms. With its adaptability and innovation, EnsembleForge showcases promising potential to serve as an asset for researchers and practitioners seeking to achieve optimal model performance in their machine learning endeavors.
Analysis and Design of Marine Tourism Information System Using Rapid Application Development Puspitarini, Titis; Christanto, Henoch Juli; Singgalen, Yerik Afrianto
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.645

Abstract

The research addresses the growing need for efficient management of marine tourism activities in Indonesia, explicitly diving, snorkeling, and fishing. With the rapid expansion of marine tourism, there is a pressing need for innovative solutions to streamline information dissemination and enhance tourist experiences. This study proposes the development of a database and information system utilizing the Rapid Application Development (RAD) methodology to cater to the diverse needs of tourists engaging in marine activities. The Rapid Application Development approach comprises requirement planning, user design, construction, and cutover phases. Oracle Apex serves as the primary instrument for database design and system development. The findings suggest that implementing digital innovation in the form of information systems and databases significantly enhances the tourist experience in marine tourism destinations. Integrating GIS technology enables the visualization of location maps and valuable information, enriching the user experience and facilitating informed decision-making processes. Test results indicate that the application functions optimally and can be utilized effectively for destination management in Indonesia, emphasizing the practical implications of digital innovation in the tourism sector. In conclusion, designing and implementing a database and information system for marine tourism activities offer substantial benefits for destination management and tourist experiences in Indonesia. This research underscores the importance of technological advancements in optimizing destination management and fostering sustainable tourism development in coastal regions.

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