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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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Evaluating the Impact of Agricultural Technology on Greenhouse Gas Emissions Using Machine Learning Priyono, Eko; Ispandi, Ispandi; Rusdi, Rusdi
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.870

Abstract

Agriculture is a significant contributor to global warming, primarily due to the release of greenhouse gases like methane (CH4) and nitrous oxide (N2O). These gases have a much higher global warming potential than carbon dioxide (CO2), necessitating targeted strategies for their reporting and reduction. This study applies machine learning models, specifically XGBoost and Support Vector Machine (SVM), to evaluate how technological advancements in agriculture influence greenhouse gas emissions. The dataset used includes emission data from various crops and farming technologies. Findings reveal that certain crops considerably elevate emissions, and in some cases, new technologies exacerbate the issue. XGBoost achieved 99.6% accuracy in predicting emission mitigation, proving its effectiveness in developing climate change mitigation plans for agriculture. Support Vector Machine also performed well, with an accuracy of 99.5%. This research underscores the need for precise approaches in managing greenhouse gas emissions through technology-driven policies.
Improving Junk Sale and Purchase Transactions Using a Spiral Model-Based System Setyadi, Heribertus Ary; Supriyanta, Supriyanta; Nurohim, Galih Setiawan
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.871

Abstract

Traditionally, individuals looking to sell junk or recyclable materials often rely on waiting for roaming junk collectors, a process that is inefficient and lacks transparency. Furthermore, the fluctuating prices of junk goods frequently leave sellers uninformed, creating uncertainty in transactions. To address these issues, this research developed a smartphone-accessible system designed to facilitate junk goods transactions. The system was developed using the Spiral Model, ensuring iterative refinement and reliability. Key features of the system include real-time price updates for junk items, enabling customers to stay informed about the latest market values, and a Location-Based Service (LBS) feature that allows customers to share their location with collectors. This feature enhances the efficiency of junk collection by providing real-time location tracking, enabling collectors to locate and reach customers seamlessly. The implementation of this system aims to make junk buying and selling transactions more effective, transparent, and satisfying for customers. The results of this study demonstrate that the developed system significantly streamlines the transaction process, ensuring improved service delivery and customer satisfaction.
Requirements for a Technology-Supported Students’ Career Selection Model: Insights from Social Cognitive Career Theory Tuhame, Moses Kamondo; Kayondo, Barbara Naluwadda; Habinka Dorothy Basaza, Annabella; Maiga, Gilbert
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.873

Abstract

Inappropriate career choices at the secondary level contribute to challenges like high university dropout, delayed course completion, and frustration. While ICTs play a growing role in career guidance due to evolving technologies, many aspects of technology-supported systems remain under-researched. This study addresses the gap by investigating the requirements of a technology-supported career model for secondary school students basing on the Social Cognitive Career Theory. A mixed-methods approach was used, in line with the pragmatism paradigm. A survey was conducted on a random sample of 784 Ugandan students from 15 secondary schools and 1 university, while qualitative data was collected through interviews with 17 purposively selected key informants. SPSS and NVIVO softwares were used for data analysis. EFA and CFA confirmed the factor structure of instrument scores. Study results revealed that all the 7 variables under study were valid. Results indicate that career decisions are influenced by parental guidance, role models, financial constraints, media exposure, and self-efficacy, with students generally showing moderate confidence in their career choices but facing challenges related to external pressures and decision-making complexity. Therefore, requirements for the technology-supported model should include student personality assessment, digital internships, success stories, workshops, discussion forums and detailed information about career progression.
Development of a Digital Village Concept based on Information Technology Infrastructure and Strategy Management to Facilitate SPBE Ogan Ilir Regency Oktarina, Serly; Roseno, Muhammad Taufik; Ubaidillah, Ubaidillah; Antoni, Darius; Zahro, Lailatuz; Syaputra, Hadi
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.875

Abstract

Technology in the digital era is currently progressing very rapidly. This is marked by the increasingly massive number of social media users in everyday life. Survey results from the Indonesian Internet Service Providers Association (APJII) in 2022 recorded that the number of internet users in Indonesia reached 196.7 million people. This number increased by 23.5 million or 8.9% compared to 2018. With information technology and the internet, information is now becoming more easily spread and can be accessed by all levels of society thanks to the internet, not just people in urban areas, but people living there. in rural areas too. The Ogan Ilir Regency Government initiated information technology infrastructure including village internet or Digital Village to solve the problem of inequality in digitalization of society in rural and urban areas. Development and implementation of a digital village is a program that implements electronic-based government system (SPBE) services to the community and empowers the community based on the use of technology. This research aims to conduct a survey of information technology infrastructure to identify village potential, marketing and accelerating access and public services. Apart from that, this research also identifies digital-based life patterns of people in rural and urban areas, as well as to advance economic development in rural areas to improve SPBE services in Ogan Ilir Regency. The method used is a quantitative method for surveying and mapping the use of information technology in villages and ultimately producing the concept of an independent digital village. Research data was obtained from surveys and FGDs with the Ogan Ilir district government, village heads, village communities and micro, small and medium enterprises. Meanwhile, secondary data will be obtained through the results of MSME and village profiles from the Central Statistics Agency.
Career Planning and Aspirations of Bangladeshi Graduates: Analyzing Quality Education and Economic Opportunities Sakil, Afzal Hossain
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.876

Abstract

Bangladesh is an overpopulated country with a significant portion of educated youth preparing to enter their career after graduation. Mentors, family, career councilors, and societal expectations play a significant role in shaping the future career paths of youth. To conduct the research, mixed-method approach was followed. Both quantitative and qualitative methods were accumulated, where structured questionnaires were used to collect qualitative data using simple random sampling method, and FGDs were used to collect qualitative data. The findings indicates that 29% preferred career is in the public sector, and the reasons behind it are the stability of job and reputation and social value. Based on the findings, the major challenges students face are economic downturns, work-life balance concerns, geographic constraints, fear of rejection, etc. The research recommended redesigning the courses and developing skill development programme for proper implication of policy and education system. The findings of this study will help policymakers, educators, and career counsellors determine how they can guide current fresh graduates in determining their career paths. Based on the differences in the economic characteristics of Bangladesh, these results will help graduates adopt career planning strategies more systematically.
Enhancing Procurement Efficiency in South Africa through e-Reverse Auction Systems Achieng, Mourine S; Ogundaini, Oluwamayowa O.; Mlitwa, Nhlanhla
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.877

Abstract

The application of advanced technologies such as real-time trend analysis, business intelligence and procurement systems enhance business processes by facilitating informed decision making, driving digital transformation, and fostering growth. However, there remains a limited empirical understanding of the adoption and impact of electronic reverse auctions (eRA) systems in South African business sectors. The study aimed to identify how using eRA systems can improve procurement processes in South African business. A qualitative methodology was adopted to investigate the aim of the study. Data was collected using semi-structured interviews with 18 participants who were purposively sampled. The findings show that the primary benefits of eRA system usage include enhanced competitiveness, cost efficiency, transparency and strengthen buyer-seller relationships. Key outcomes for these benefits include increased supplier participation, lower procurement costs, a clear and open bidding process, and better communication between buyers and sellers. This study’s contribution is that, when used cautiously with identified risks eRA systems can streamline, standardize, and regulate procurement practices in South Africa’s business sectors. Drawing on the DeLone and McLean Information System Success Model, this paper highlights the dimensions by which eRA systems used in procurement processes can be evaluated to better understand and leverage their benefits within business.
The Impact of Artificial Intelligence on Educational Transformation: Trends and Future Directions Khatun, Maimuna; Islam, Rafia; Kumar, Sobuz; Hossain, Rashed; Mani, Lisa
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.879

Abstract

This study conducts a systematic review using the PRISMA framework to explore the intersection between escalation profounder perceptions and appreciative into AI technology interconnected education. The novelty of this research lies in its synthesis of AIEd research, highpoints designated AIEd technologies and applications, evaluations the proven and potential benefits for education, connections the gaps between AI technological innovations and educational applications and generates practical illustrations and inspirations for both technological experts that create AIEd technologies and educators who spearhead AI innovations in education. Using a PRISMA-based approach, this review systematically analyzed 175 articles across multiple databases being journal articles or full conference papers and a method section publications were included for data extraction and synthesis, focusing on AI's influence on personalized learning. This systematic review presents a comprehensive synthesis of recent scientific findings concerning the disruptive effects of artificial intelligence on the educational sector. Key findings reveal that AI enhances learning efficiency but raises ethical concerns regarding privacy and bias. Limitations include the variability of AI tools in different educational settings and the need for longitudinal studies to assess long-term impact. However, some risks are associated with artificial intelligence advancements such as safety, security, and privacy concerns. As a result, artificial intelligence technologies positively and negatively affect the education sector. Future of the study explores VR, AR, and MR being embraced with AI for learning tools, interdisciplinary and transdisciplinary research which is effective expansion revision of AI in education. Thus, AI in education approaches to encounter desires and potentials through AI technologies which will be excellent by the aware of trends in AIEd applications and future directions.
Understanding IoT Adoption in Botswana’s SMEs: A Research Onion Approach Mphale, Ofaletse; Gorejena, Karikoga Norman; Nojila, Olebogeng Hellen
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.880

Abstract

The advent of the Internet of Things (IoT) presents a transformative opportunity for Small and Medium-sized Enterprises (SMEs), unlocking their potential for enhanced operational efficiency, productivity, and data-driven decision-making. However, harnessing these benefits necessitates a rigorous and structured methodological approach. On the next hand, selecting an appropriate research methodology can be problematic, as it demands consideration of context-specific factors. This study addresses a significant gap by theoretically evaluating and proposing a suitable "research onion" methodological approach, which can be employed to explain IoT adoption in Botswana's SMEs. This structured approach provides a comprehensive analytical lens comprising the research philosophies, research strategy, approaches, choices, time horizons, techniques and procedures. By carefully applying and justifying each element within the research onion’s distinct layers, the study empowers Information Systems (IS) researchers to effectively explain their methodological decisions. Hence, findings will inform policymakers and decision-makers in Botswana, enabling them to design targeted interventions that promote widespread IoT adoption in SMEs. Future research will empirically test this framework in Botswana's SME sector using surveys, thus furthering our understanding of the IoT adoption factors in SMEs.
Predicting Crime Time Intervals Using Machine Learning Models Deswandi, Arief; Hastomo, Widi
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.881

Abstract

Understanding the time interval of crime can help optimize patrols and guards to identify crime-prone areas and estimate the time prone to crime. The urgency of this research lies in the need to develop more efficient methods for analyzing and preventing crime. By understanding the time pattern of crime, law enforcement can improve more effective prevention and law enforcement strategies. The methods used are DT, XGBoost, and CatBoost. This method was chosen because of its superior ability to handle large, complex, and unbalanced datasets. The evaluation was carried out using MAPE to measure the level of accuracy of crime clock predictions. The results show that XGBoost successfully predicts the time pattern of crimes with a MAPE of 8.29%, indicating a high level of accuracy. These results can be effectively applied to predict time-based crimes, helping to make better preventive decisions and improving the efficiency of security resource allocation.
IoT Adoption in Botswana's SMEs: Technological Readiness and Government Initiatives Mphale, Ofaletse; Gorejena, Karikoga Norman; Nojila, Olebogeng Hellen
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.885

Abstract

As Botswana seeks a more diversified and developed economy, fostering a robust Small and Medium-sized Enterprises (SME) sector is paramount. Consequently, integrating Industry 4.0 technologies, particularly the Internet of Things (IoT), presents a promising possibility for stimulating SME growth. Nonetheless, successful IoT adoption hinges on understanding Botswana's technological landscape. This study employed a Systematic Reviews and Meta-Analyses (PRISMA) guideline to survey the existing literature (academic and grey literature) published between 2015 and 2024 on Botswana's digital readiness. The review examined several areas of technological readiness, including e-commerce legislation, Information and Communication Technology (ICT) education, infrastructure investment, government online services, e-participation initiatives, internet costs, policy framework, cybercrime threats, and overall technology adoption. Results showed that while Botswana has made progress in digital integration, its digital maturity is still evolving. Strengths were found in areas including; e-commerce legislation, ICT education and infrastructure investment. However, weaknesses persist in areas including; limited government online services, limited e-participation initiatives, high internet subscription costs, inadequate policy framework, cybercrime threats, infrastructure limitations, and overall low technology adoption. These findings will equip SME decision-makers and policy makers with valuable insights to assess their digital preparedness for IoT adoption, while also considering Botswana's digital environment.

Page 44 of 66 | Total Record : 653

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