Journal of Information Systems and Informatics (Journal-ISI)
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The Empirical Study on the Impact of the COVID-19 on Small and Medium Enterprises (SMEs) in Bangladesh
The large COVID-19 disease outbreak had a devastating impact on the entire world, with Bangladesh being one of the worst-affected nations. The epidemic worsened the situation of small and medium-sized companies (SMEs) in Bangladesh. The goal of this study is to examine the possibilities and difficulties faced by SMEs in Bangladesh's Rangpur district during the COVID-19 epidemic and the transition to the new normal. The research methodology combines an exploratory technique with a quantitative methodology. The study is designed on both primary and secondary data. Researchers collected data from 290 respondents from Rangpur District. The first finding of the study is that the most significant proportion of business is small enterprise which is 83.4 percentage. Lack of opportunities and business scope, there are less numbers of medium enterprise in the Rangpur district that is around 17%. Second one, opportunity of COVID-19, around 71% businesses have been improved financial condition by working capital in pandemic situation which is one the opportunity for SMEs. Moreover, commerce increase which is 40% of the respondents. Technological adaptation and E-commerce are the positive sides for improving socio-economic development for Rangpur district. challenge’soint of challenges view, COVID-19 on SMEs is the largest competition between business which is approximately 72% and total responses is 209 out of 290
Double Diamond Approach for Mobile-based UX: Connecting Students to Professional IT Projects
Students at UAD can join various projects offered by their lecturers, including research, internships, assignments, and competitions. These opportunities are typically communicated through research workshops or WhatsApp groups. Currently, more lecturers are getting research projects that require students as technical members, but they need to be sure about the students' sufficient abilities. On the other hand, not all students receive this information, and project monitoring is often done informally via WhatsApp. All students should get projects so they can graduate from project management courses or internships. To address this, lecturers can help speed up the process of students getting projects by inviting students to join their projects. An application was proposed to streamline information dissemination, student selection, and project monitoring. The study employed the double diamond method—Discover, Define, Develop, and Deliver —to design the app's UI/UX prototype. Usability and user experience testing showed high success rates for both lecturer and student applications, with 91.81% and 84.54% respectively. The student app scored well on attraction (1.63), clarity (1.45), efficiency (1.70), accuracy (1.70), stimulation (1.95), and novelty (1.40). The lecturer app scored even higher on attraction (2.47), clarity (1.45), efficiency (2.25), accuracy (1.95), stimulation (2.65), and novelty (2.45)
Optimizing Supply Chain Management in the Confectionery Industry with Odoo 16
Innovation is crucial in today’s business world, and one way to achieve it is by implementing a Supply Chain Management (SCM) system. Wikana Konfeksi, a clothing manufacturer based in Denpasar, still relies on manual methods for essential tasks such as tracking purchases, managing inventory, and recording sales. These manual processes often lead to errors, such as inaccurate records, misplaced documents, and delays in communication between departments. To address these challenges, Wikana Konfeksi decided to implement an SCM system using Odoo 16 ERP. This system streamlines business processes, helping the company achieve greater efficiency. The Accelerated SAP framework was used to guide the SCM implementation. The primary steps that comprise this technique are project preparation, business blueprint, realization, final preparation, and go-live support. The system was tested using the User Acceptance Testing (UAT) method, focusing on five key aspects of the Odoo 16 system design. Six staff members from Wikana Konfeksi participated in the UAT process, providing feedback on whether the system met their needs. The test results were overwhelmingly positive, with a score of 286, indicating that the system implementation was successful and more time efficient in carrying out each of its business processes
IoT Adoption in Botswana's SMEs: Technological Readiness and Government Initiatives
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
Comparison of Conversational Corpus and News Corpus on Gender Bias in Indonesian-English Transformer Model Translation
Gender bias in machine translation is a significant issue that affects text translation and gender perception, often leading to misunderstandings, such as the tendency to default to using male pronouns. For example, the word "dia" in Indonesian is often translated as "he" rather than "she," even when the context suggests otherwise, as seen in the case of President Megawati. Reducing this bias requires ongoing research, particularly in understanding how different corpora affect translation accuracy. Studies have shown that formal news corpora, which have less gender bias, produce different results compared to conversational corpora that are more informal and exhibit gender bias. This research uses a training dataset of the Indonesian-English conversational parallel corpus from Open Subtitles, which contains many gendered pronouns. Additionally, a news corpus from Tanzil, with fewer gendered words, was also used. These corpora were sourced from Opus, widely used by previous researchers. For the testing dataset, biographies of female presidents were used, which are often translated as masculine by popular machine translation systems by default. Each corpus was trained using a Transformer model, resulting in a translation model. Each sentence from the generated translations was then detected for gender, and compared with the gender of sentences from the test data to evaluate accuracy. The results showed that the accuracy of gender translation from the conversational corpus was 84%, while the news corpus achieved an accuracy of 8%
Gravitating the Gig Economy for Reshaping the Careers Using Technological Platform in the Digital Age in an Emerging Economy
The gig economy, driven by digital platforms and technological advancements, is reshaping traditional career pathways globally, particularly in emerging economies like Bangladesh. This study explores the gig economy's impact on career development, focusing on university students and graduates in Bangladesh. Using a mixed-methods approach, including surveys and interviews with 100 gig workers, the study reveals the motivating factors, challenges, and opportunities associated with gig work. The findings reveal that 56% of graduates in Bangladesh are involved in gig economy jobs, indicating a significant shift in career pathways. Among university students, 66% engage in gig work as an alternative income source before securing fixed positions. Furthermore, 61% of respondent’s view gig jobs as a means to gain experience quickly, which they believe will benefit their future careers. Freelancing emerges as the largest segment of the gig economy, encompassing 30% of gig workers. However, the study also highlights significant challenges, including social security issues and the lack of social and institutional recognition for gig workers. This study contributes to the theoretical understanding of the gig economy in developing countries, specifically in the South Asian context. Methodologically, it provides a holistic view of the gig economy's impact on career development. The research underscores the potential of the gig economy to alleviate unemployment and foster self-reliance among youth in Bangladesh
Implementation Economic Order Quantity and Reorder Point Methods in Inventory Management Information Systems
Inventory control is at the core of supply management to balance inventory needs and demand. With an inventory system, management can control stock of materials and goods, production process and sales transactions can even stop the production process if necessary. Sari Gamping building materials store that sells various building needs including building materials and tools. Data management of goods, transactions and inventory processing still uses conventional methods using Microsoft Office. The purpose of this research is to analyze the ongoing inventory management process to create an inventory management information system so that it can help the Sari Gamping store in controlling inventory. The Economic Order Quantity (EOQ) and reorder point methods were chosen to optimize inventory to avoid shortages or excess inventories, to fulfill customer orders, to achieve cost efficiency and to prevent problems that may occur. The developed system can manage data on goods, categories, suppliers, manage purchase and sales transactions and can generate information from EOQ calculations, safety stock and reorder points. From the results of testing the calculations of the two methods used with 15 samples of catylac paint variants, the average inventory cost saving in June 2023 was 65.33%
Assessing the Potential Usages of Blockchain to Transform Smart Bangladesh: A PRISMA Based Systematic Review
In recent years, both researchers and internet users have been attracted to the concept of blockchain technology for transforming smart Bangladesh. This study focuses on the possibilities of blockchain technology leading to the transformation of Bangladesh into a smart nation. This article also explains the working procedure and potential usage of the blockchain concept in Bangladesh. The study is mainly focused on qualitative approaches. The researcher used the PRISMA 2020 platform to identify and choose relevant studies and reports from indexed publications. As the idea of block chain technology is very new and not being adopted by all the sectors of Bangladesh's economy, that’s why only secondary data were used to conduct the study. The researcher has tried to find the different potential areas of blockchain technology from such developing countries like Bangladesh. The potential areas, such as the supply chain management, voting system, and health care industry, where blockchain can be implemented by introducing different polices and regulations. From the implication point of view, blockchain technology might be implemented to transform smart Bangladesh within 2041 if adequate regulations can be undertaken by concerned authority. This revolutionary technology has great potential and has recently caused upheaval. Based on the descriptive study, some of the relevant recommendations including suggestions for reducing challenges of using blockchain are discussed and future research works can be continued in both academic and business sectors in Bangladesh based on this finding
UML Design of Business Intelligence System for Small-Scale Enterprises
Small scale enterprises (SSEs) face numerous challenges in managing and processing their business data, which often leads to inefficiencies, errors, and suboptimal decision-making. To address these challenges, the design of a Business Intelligence (BI) system for SSEs using Unified Modeling Language (UML) diagrams is proposed. UML diagrams provide a visual modeling language that facilitates the design, analysis, and implementation of complex systems. The proposed BI system is designed to enable SSEs to gather, integrate, analyze, and present data from various sources, including sales, finance, operations, and customer relations. The agile methodology was used in the design of the mobile intelligence system (MoIS) utilizing the Scrum method because of its time-boxed iterations (sprints), cross-functional team collaboration, and regular feedback loops. The UML diagrams used in this design are use case diagrams, activity diagrams, class diagrams, and sequence diagrams. The use case diagrams identify the system's users and their interactions with the system, while the activity diagrams describe the system's processes and workflows. The class diagrams depict the system's data structures and relationships, and the sequence diagrams specify the interactions between system components. The proposed BI system provides SSEs with the necessary tools to make informed decisions, improve operational efficiency, and gain a competitive advantage. The UML-based design approach ensures that the BI system is well-structured, easy to maintain, and scalable. The effectiveness of the proposed BI system is demonstrated through a case study of an SSE in the retail industry. The results indicate that the BI system improves the SSE's decision-making processes and enables it to respond more quickly to changing market conditions. The proposed BI system using UML diagrams is a valuable contribution to the field of BI systems design and is expected to benefit SSEs in various industries
Game Theory Analysis of Indihome and Biznet in the Salatiga Internet Market
With the rapid expansion of internet usage in Indonesia, comprehending the competition within the internet service provider sector has become imperative. This study investigates the competitive dynamics between Indihome and Biznet in the Salatiga internet market, examining various strategic dimensions such as pricing strategies, network quality, promotions, payment models, customer service, accessibility, product portfolios, and data security. Employing game theory methodology, the research discerns optimal strategies for each provider, utilizing maximin and minimax strategies to minimize potential losses and maximize potential gains. Validity and reliability testing ensures the integrity of the analysis, confirming the validity and reliability of all variables. Results reveal that Indihome employs strategy X5 (Customer Service) to attain a maximum profit of 36, while Biznet adopts the same Y5 strategy to minimize a loss of 36. This study provides valuable insights for both service providers to adeptly navigate the competitive landscape