Cendana International Conference on Social and Technology
Proceedings Cendana International Conference on Social and Technology (CICoST) Proceedings Cendana International Conference on Social and Technology (CICoST) published by Pusat Penelitian dan Pengabdian Masyarakat Politeknik Cendana with e-ISSN 3047-2490. This proceeding publishes articles from seminars regularly held once a year by Pusat Penelitian dan Pengabdian Masyarakat Politeknik Cendana since 2023. Cendana International Conference on Social and Technology (CICoST) can be held by either Pusat Penelitian dan Pengabdian Masyarakat Politeknik Cendana or in collaboration with professional organizations/associations or other institutes. The Cendana International Conference on Social and Technology (CICoST) kindly invites and warmly welcomes all authors to submit outstanding works on a range of topics relevant to the conference’s theme. Submissions can be provided in various formats, including completed and ongoing research, reflections, and opinions. We invite people with backgrounds in academia and the applied fields, as well as from businesses, government agencies, non-governmental organizations, and educational institutions, to submit their research papers, reflections, posters, practitioner papers, panel proposals, or workshop ideas to the topics covered in the tracks. Interdisciplinary approaches to the conference topics are also welcome. Proceedings Cendana International Conference on Social and Technology (CICoST) are open access. =========================================================================
Shrimp Paste Marketing Strategy in Lhokbanie Village to Improve the Community’s Economic Level
This study aims to analyze the shrimp paste marketing strategy as an effort to improve the community’s economic level in Lhok Banie Village by examining internal and external marketing factors. The research uses a qualitative method with descriptive data collection techniques and SWOT analysis. Descriptive analysis is used to describe and summarize various conditions, situations, and variables of the problem. SWOT analysis is defined as the systematic identification of factors to develop a strategy that maximizes strengths and opportunities while minimizing weaknesses and threats. Keywords: Marketing, Shrip Paste, Analysis SWOT.
An Evaluation of Cutting Forces in CNC Machining Processes Using Machine Learning Approach: A Review
Cutting forces play a pivotal role in determining the efficiency, accuracy, and quality of CNC machining processes. Accurate prediction and control of these forces are essential for optimizing tool life, surface finish, and energy consumption. Traditional modeling approaches, such as analytical and empirical methods, often fall short in capturing the complex, nonlinear interactions among machining parameters. In recent years, machine learning (ML) has emerged as a powerful alternative, offering data-driven solutions capable of modeling intricate relationships in real time. This review explores the application of various ML techniques—including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Random Forests, and Deep Learning models such as Long Short-Term Memory (LSTM) networks—for predicting cutting forces in CNC machining. It evaluates the methodologies used for data acquisition, preprocessing, and model training, and compares the performance of different approaches using key metrics like RMSE and R². The paper also discusses current limitations, such as data scarcity and generalization issues, and proposes future directions including real-time deployment, hybrid models, and integration with digital twins. The review concludes that ML offers significant potential for advancing intelligent machining systems by enabling accurate, adaptive, and real-time force prediction.
The Evolution and Role of Ar-Rahnu in Malaysia's Financial System
This mini-review investigates the development and functional significance of ar-rahnu, Malaysia’s Syariah compliant pawnbroking system, within the broader framework of Islamic finance and financial inclusion. Initiated in the early 1990s, ar-rahnu has served as an accessible microcredit facility primarily targeting low-income earners and micro-entrepreneurs. It utilizes gold as collateral and operates without charging interest, adhering strictly to Islamic legal principles. Over time, the model principally operated by cooperatives and Islamic financial institutions has proliferated across the country, establishing itself as a viable ethical substitute to conventional pawnbroking. This review specifically analyzes ar-rahnu's contribution to Malaysia’s financial inclusion agenda and assesses the prospective role of digital innovations, particularly AI tools like ChatGPT, in enhancing service delivery. Although AI integration in Islamic finance remains nascent, preliminary findings suggest its potential to support user education, automate routine inquiries, and optimize operational processes. Nonetheless, concerns persist regarding the precision of citations and content completeness. The paper identifies a significant research gap in harmonizing digital innovation with traditional Islamic finance mechanisms and emphasizes the necessity for further inquiry into the ethical, legal, and technological dimensions. Synthesizing key themes from existing scholarship, this review offers insights into the evolving role of ar-rahnu as a pillar of inclusive financial systems in Malaysia, while proposing directions for technological enhancement aligned with Syariah compliant development.
Copyright (c) 2025 ANISAH NASIB, Marzuki Sepiaail, Muhammad Solihin Yaakub
Integration of Palm Oil Supply Chain Information System in Langkat Regency with Prospective Artificial Intelligence for Price Predictioand Distribution Optimization
The palm oil supply chain in Indonesia faces persistent challenges, including price fluctuations, long distribution channels, and the weak bargaining position of smallholder farmers. This study analyzes the palm oil smallholder supply chain in Langkat Regency using the Food Supply Chain Network (FSCN) framework and designs a marketing information system prototype to improve transparency and efficiency. The proposed system allows farmers, traders, and palm oil mills (PKS) to access real-time price information and conduct transactions digitally, thereby reducing dependency on intermediaries and improving farmers’ income share. Although the current study focuses on the development of an information system, it also highlights the potential integration of Artificial Intelligence (AI) technologies. AI can be applied in price prediction, demand forecasting, and logistics optimization, which will strengthen decision-making and enhance supply chain performance. The findings suggest that while the prototype provides an initial solution for improving transparency, the integration of AI in future development presents significant opportunities to address systemic inefficiencies. This study contributes to the discussion on the role of digital transformation and AI in agricultural supply chains, particularly in improving smallholder welfare and market competitiveness.
Copyright (c) 2025 Ritna Wahyuni, Tifany Zia Aznur, M. Fariz Afif Hasibuan
Analysis of Individual Risk Management Strategies in Financial Management in the Digital Era in Langsa City
This study aims to determine the effect of risk management strategies on individual financial management in the digital era, using a case study of the Meurandeh Dayah Village community in Langsa City. This study used a descriptive quantitative approach by distributing questionnaires to 93 respondents. Data analysis techniques used included validity and reliability tests, descriptive statistics, and simple linear regression using SPSS 19. The results showed that the implemented risk management strategies were in the good category and had a very strong influence on individual financial management. This finding indicates that the better a person's strategy in identifying and managing risks, the more effective their ability to manage personal finances. This study emphasizes the importance of consistently implementing risk management strategies as an effort to face financial challenges in the digital era.
Copyright (c) 2025 Selvi Mai Hetti, Israul Husna, Reno Abrari Sabastian
Factors Influencing Customer Interest in Seulanga Savings Products at PT Bank Aceh Syariah Julok Sub-Branch
The decline and improvement of a country's economy is greatly assisted by banking institutions. Along with the development of the banking world, Indonesia began to implement a Sharia banking system. As a local Islamic financial institution, PT Bank Aceh Syariah offers superior products such as Tabungan Seulanga with the aim of encouraging financial inclusion and fostering interest in sharia-based saving.This study aims to identify and understand the factors that influence customer interest in Seulanga Savings at the Julok sub-branch.This qualitative study employed a descriptive approach with data collection through structured interviews with 15 customers (aged 25-70 years, including entrepreneurs, civil servants, and retirees), participant observation at the bank location, and document analysis. Data were analyzed using Miles and Huberman's interactive model involving data reduction, data display, and conclusion drawing. The findings indicate that customer interest in Seulanga Savings products is significantly influenced by four main factors: (1) Product quality, characterized by competitive profit-sharing (3-5% based on mudharabah contract), minimum balance of Rp 500,000, cultural integration of Aceh's Seulanga design, and direct reward points system; (2) Service quality, demonstrated through fast account opening process (20-25 minutes), staff empathy, SMS/mobile banking notifications, though criticism exists regarding queues during peak hours; (3) Trust, built through the bank's track record as a trusted regional sharia institution, transparent financial reporting, and LPS guarantee up to Rp 2 billion per customer; and (4) Religious factors, as a key element in Aceh's Islamic context, where all informants emphasized riba-free products compliant with DSN-MUI fatwa.Product quality, service quality, trust, and religiosity collectively shape high customer interest and loyalty toward Seulanga Savings, confirming its relevance in promoting sharia financial inclusion in the Julok region and Aceh more broadly.
Copyright (c) 2025 Desti sikumbang, Jauharil Maknuni, Erni Wirani
Optimalization of Artificial Intelligence in Finansialku Application as a Personal Finance Management System (PFMS) to Improve Students’ Financial Literacy in the Finance and Banking Program at Nusantara Academy
This study aims to optimize the role of Artificial Intelligence (AI) in enhancing university students’ financial literacy competence through the use of Finansialku as a Personal Finance Management System (PFMS). Financial literacy is an essential skill in the digital economy, particularly for students who are required to manage budgets, savings, investments, and future financial planning effectively. The integration of AI into personal financial management applications enables adaptive, personalized, and data-driven financial learning, addressing the limitations of conventional approaches. Finansialku offers a wide range of intelligent features, including automated transaction recording, expenditure analysis, integrated budgeting, investment simulations, and AI-based financial consultations. These features provide an interactive and contextual financial learning experience, encouraging students to better understand their financial conditions. This study applies a qualitative descriptive method through literature review, application observation, and analysis of students’ experiences in using Finansialku. The findings indicate that using Finansialku not only increases financial awareness but also strengthens motivation to learn financial management and supports students in making more rational financial decisions. Consequently, the integration of AI into PFMS applications such as Finansialku holds strategic potential for supporting the development of financial literacy competence among university students.
Implementation of Digital Systems in the Pawn Process at PT. Pegadaian Syariah CPS Langsa
This study aims to examine how the digital system is implemented in the pawn process at PT Pegadaian Syariah CPS Langsa and the challenges faced by customers in using the Pegadaian Digital Service (PDS) application. This research employed a qualitative method with data collected through interviews with 15 customers who had used the pawn features in the PDS application. The findings indicate that the implementation of the digital system through the PDS application has been running well and provides many conveniences for customers, such as carrying out extension, installment, and redemption transactions without having to queue at the outlet. Customers feel that the pawn procedures are faster, more practical, and more transparent because they can directly see the disbursement amount and the status of the pawned items. However, some obstacles remain, particularly related to internet network disruptions, application system errors, and limited initial understanding among first-time users of the application. These challenges are generally resolved with assistance from Pegadaian staff through guidance from customer service or security officers. Overall, the PDS application is considered very beneficial, though improvements are still needed, especially in system stability and network support. Customers also hope for the development of more comprehensive features and continuous socialization so that more people will become accustomed to using this digital service.
Copyright (c) 2025 erniwiriani, Esti Alemia Puspita, Aisyah Aisyah
Local Government Strategies in Supporting Digital Marketing and Product Packaging Design for Local Food SMEs
This study aims to analyse the strategies of the Local Government, through the Department of Cooperatives and SMEs of Deli Serdang Regency, in supporting the development of local food SMEs, particularly Kacang Bawang Rahasia, through digital marketing and product packaging design. The main challenges faced by SMEs include low digital literacy, suboptimal use of digital marketing media, and packaging designs that have not effectively represented product value. This research adopts a qualitative descriptive approach, with data collected through interviews, observation, and documentation. Data analysis was conducted through data reduction, data display, and conclusion drawing. The findings indicate that local government strategies are implemented through training and mentoring in digital marketing, utilisation of social media and digital marketplaces, and the development of informative packaging designs aligned with product characteristics. A participatory approach and continuous learning process play a crucial role in enhancing SMEs’ capacity, competitiveness, and sustainability in the local food sector.
Pest Detection on Oil-Palm Leaves Using the K-Nearest Neighbor Algorithm and Image Analysis
Oil palm is a strategic commodity whose productivity is often threatened by leaf‐feeding pests such as bagworms and nettle caterpillars, underscoring the need for rapid, objective early detection. This study develops an image-based pest detection system using the K-Nearest Neighbor (KNN) algorithm with Gray Level Co-occurrence Matrix (GLCM) texture features—energy, contrast, homogeneity, and correlation—extracted from images of healthy and infested leaves. The workflow comprises preprocessing (resizing, grayscale conversion, thresholding), GLCM feature extraction, normalization, and KNN classification with Euclidean distance and an empirically selected k. Performance is assessed on three classes (healthy, bagworm, nettle caterpillar) using a confusion matrix alongside precision, recall, and F1-score, with cross-validation to gauge generalization. The model reliably distinguishes classes, with classwise metrics ranging from 0.71 to 0.83 evaluation on new samples yields predictions consistent with ground truth. These findings indicate that the GLCM–KNN combination is an effective and affordable approach for early pest detection in oil-palm leaves, supporting timely, data-informed decisions in the field. Future improvements include enlarging and diversifying the dataset, parameter optimization and feature selection, comparative baselines with SVM/CNN, and integration into IoT and UAV monitoring pipelines for plantation-scale surveillance.
Copyright (c) 2025 Ratu Mutiara Siregar, Andi Prayogi, Ritna Wahyuni, Raden Aris Sugianto
The Influence of Leadership Styles on Employee Performance and Motivation in Modern Organizations: A Descriptive Literature Study
This study aims to analyze the influence of leadership styles on employee performance and motivation in modern organizations using a descriptive literature review method. The research focuses on three main leadership styles—transformational, transactional, and participative and their effects on employees’ intrinsic and extrinsic motivation as well as work performance. Data were collected from primary and secondary literature, including academic books, scientific journals, research articles, organizational documents, and credible online sources. The analytical technique employed is qualitative descriptive analysis, which includes categorizing the literature based on themes and research variables, constructing descriptive narratives, and examining the relationships among variables. The findings show that transformational leadership significantly enhances intrinsic motivation and employee performance through inspiration, recognition, and potential development. Transactional leadership is effective in improving short-term performance through rewards and punishments but is less supportive of intrinsic motivation and creativity. Meanwhile, participative leadership boosts motivation, job satisfaction, and team collaboration by involving employees in decision-making processes. Employee motivation plays an important mediating role between leadership style and performance. The study concludes that a combination of transformational and participative leadership styles yields optimal results in enhancing employee motivation and performance in modern organizations. These findings are expected to serve as a reference for managers, organizational leaders, and future academic research.
Work Flexibility, Human Resource Innovation, and Digital Transformation on the Economic Competitiveness of MSMEs in Medan
MSMEs are a strategic sector in the Indonesian economy because they contribute significantly to employment, investment absorption, and regional economic growth. However, MSMEs in Medan face significant challenges in the form of market instability, limited human resource innovation, low adoption of digital technology, and unpreparedness in implementing flexible work systems. These conditions require MSMEs to develop organizational capabilities through work flexibility, HR innovation, and digital transformation in order to increase economic competitiveness amid rapid and competitive changes in the business environment. This study aims to analyze the influence of work flexibility, HR innovation, and digital transformation on the economic competitiveness of MSMEs in Medan. The research method uses a quantitative approach with a theoretical framework that refers to the Resource-Based View (RBV), Dynamic Capabilities, and digital transformation theory. The findings show that work flexibility contributes significantly to the operational efficiency of MSMEs, as indicated by increased productivity and adaptability of the workforce. Meanwhile, human resource innovation has been proven to strengthen the ability of MSMEs to create added value through creativity, learning abilities, and the application of innovative strategies that are more responsive to market dynamics. In addition, digital transformation has become a major driving factor that expands market access, accelerates business processes, and improves the quality of technology-based services. Simultaneously, these three variables have a positive and significant impact on the economic competitiveness of MSMEs in Medan, both in terms of operational excellence, product differentiation, and the ability to withstand business environment volatility. This article provides practical implications for MSME owners, local governments, and other stakeholders to strengthen the MSME ecosystem through investment in work flexibility, HR competency improvement, and accelerated adoption of digital technology. This research also opens up opportunities for further research on the integration of business innovation and digital transformation in improving the sustainability of MSMEs at the local and national levels.
Copyright (c) 2025 Riandani Rezki Prana, Dewi Budhiartini Yuli Isnaini
Analysis the Use of Operational Costs Against the Effectiveness of Capitation Fund Utilization at UPT Polonia Public Health Center (Puskesmas)
Quality and equitable health services are the main objectives of national health development. One of the government’s efforts to achieve this is through the National Health Insurance (JKN) Program with a capitation payment mechanism for Primary Health Care Facilities (FKTP), including community health centers (puskesmas). This study aims to analyze the use of operational costs on the effectiveness of capitation fund utilization at UPT Puskesmas Polonia. The research employed a descriptive qualitative method with data collection techniques through observation, interviews, and documentation. The findings show that operational costs have been allocated in accordance with regulations, namely 35% of capitation funds to support service needs such as medical consumables, medicines, office supplies, electricity and water, as well as promotive and preventive activities. In terms of effectiveness, the use of operational costs is considered to support service quality improvement, although there are challenges such as significant reductions in funds in certain years which potentially disrupt service continuity. Planning and reporting have been well implemented, yet monitoring needs to be strengthened to ensure greater accountability and efficiency. This study recommends the importance of need-based planning, continuous internal monitoring, and adaptive strategies to manage capitation fund fluctuations in order to enhance the effectiveness of health services in community health centers.
Copyright (c) 2025 Fika Tarigan, Rusti Br Perangin Angin, Debi Yolanda Kaban, Tri Dessy Ratna Sari, Syahri Ariza Tasya
The Effect Of Motivation And Training On Employee Performance at Sekolah Tinggi Ilmu Manajemen (STIM) Sukma Medan
The purpose of this study was to determine the effect of motivation and training on employee performance at the Sukma Medan School of Management (STIM). The sample was comprised of employees at the Sukma Medan School of Management (STIM). The sample was drawn using probability sampling with a saturated sampling technique, a technique used to determine the sample size when all members of the population are used as samples. The data analysis method used Multiple Linear Regression, hypothesis testing using the coefficient of determination (R2), simultaneous testing (F-test), and partial testing (t-test), while data processing used SPSS. The results showed that the coefficient of determination (R2) test for motivation and training variables explained the variation in employee performance. Furthermore, simultaneously, it showed that motivation and performance variables had a positive and significant effect on employee performance. Partially, motivation had no effect on employee performance, and partially, training variables had an effect on employee performance.
Copyright (c) 2025 Husni Mubarak, Dewi Budhiartini Yuli Isnaini
Procedures And Implementation of Performance Evaluation Of Teachers And Staff At Sempoa SIP
Performance evaluation is a crucial managerial instrument in human resource management, particularly in non-formal educational institutions that rely heavily on service quality and parental trust. Sempoa SIP Company, as an informal educational institution focusing on abacus training and children’s cognitive development, implements performance evaluation as a core strategy to maintain and improve the quality of teaching and administrative services on a continuous basis. This study aims to analyze in depth the procedures, implementation, and impacts of performance evaluation on the professionalism of teachers and administrative staff at Sempoa SIP. This research employs a qualitative approach using a case study method, with data collected through in-depth interviews, field observations, and analysis of internal company documents. The findings indicate that performance evaluation at Sempoa SIP is conducted regularly, systematically, and flexibly, referring to Key Performance Indicators (KPI), direct observation, learning quality control, and routine performance reports. The implementation of performance evaluation has shown a significant positive impact on teaching quality, administrative staff performance, parental satisfaction, student retention, and the long-term sustainability of the non-formal education institution
Copyright (c) 2025 Nurhayati Nurhayati, Syahrani Devi
Expert System and Artificial Intelligence For Diagnosing of Anemia: A Literature Review
The development of artificial intelligence can now be used as one method for diagnosing diseases, including anemia. Anemia is a condition where there is a deficiency in hemoglobin (Hb) levels in the blood and is a disease commonly experienced by all segments of society. The main function of Hb in the blood is to transport oxygen and provide energy for cells. If Hb levels are below normal, symptoms such as fatigue will appear because organs do not receive what they need to function properly. Therefore, artificial intelligence is needed for simple and practical anemia diagnosis, utilizing technological advancements. Research Methods: The analysis was conducted using a literature review method, which involved comprehensively reviewing, identifying, examining, and presenting information, along with data review. Research Findings: The best methods in this literature review are Rule-Based Web with 83% sensitivity accuracy, a portable ocular conjunctival system assisted by Smartphone with 77.58% sensitivity, and Support Vector Machine (SVM) with the highest accuracy of 72.9167%. Conclusion: Based on this literature review, methods were found that can be used for faster, cheaper, globally applicable, and quite popular early diagnosis of anemia, replacing doctors' visual examinations for anemia diagnosis. Such a system would be very useful in rural areas of developing countries, where medical resources are difficult to access.
Copyright (c) 2025 Sri Muliana Putri Bakara, Siti Nurmawan Sinaga, Herna Rinayanti Manurung, Imran Saputra Surbakti, Rosmani Sinaga
This study aims to analyse the strategies of the Local Government, through the Department of Cooperatives and SMEs of Deli Serdang Regency, in supporting the development of local food SMEs, particularly Kacang Bawang Rahasia, through digital marketing and product packaging design. The main challenges faced by SMEs include low digital literacy, suboptimal use of digital marketing media, and packaging designs that have not effectively represented product value. This research adopts a qualitative descriptive approach, with data collected through interviews, observation, and documentation. Data analysis was conducted through data reduction, data display, and conclusion drawing. The findings indicate that local government strategies are implemented through training and mentoring in digital marketing, utilisation of social media and digital marketplaces, and the development of informative packaging designs aligned with product characteristics. A participatory approach and continuous learning process play a crucial role in enhancing SMEs’ capacity, competitiveness, and sustainability in the local food sector
Copyright (c) 2025 Hidayah Yoanna Putri, Nadia Prihastika
Exploring Work Motivation Phenomena Among Field Workers to Improve Performance
This study explores the dynamics of work motivation among field workers in PTPN IV Kebun Gunung Bayu, a major palm oil plantation in Simalungun Regency, North Sumatra, Indonesia. Motivation in plantation environments is shaped not only by individual capability but also by relational, structural, and contextual conditions embedded in daily field operations. Using a qualitative exploratory design, data were collected through in-depth interviews, focus group discussions, and field observations involving 20 workers and supervisory personnel. Analysis using open, axial, and selective coding identified five dominant themes: worker capability and contextual self-efficacy, clarity of communication and role certainty, supervisory leadership and emotional climate, motivational drivers and barriers, and the connection between motivation and performance. The findings show that motivation is highly dynamic and strongly influenced by communication consistency, supervisory fairness, environmental challenges, and perceptions of justice in workload allocation. Leadership emerged as the most significant factor affecting emotional readiness and daily enthusiasm, while communication clarity played a central role in strengthening confidence and task orientation. The results align with Sustainable Human Resource Management (S-HRM) principles, emphasizing fairness, ethical supervision, worker well-being, and capability development. This study contributes theoretical insights into motivation in labor-intensive sectors and provides practical recommendations for improving HR strategies and supervisory practices within PTPN IV.
Enhancing MSME Competitiveness Through AI Integration for a Sustainable Global Economic Ecosystem
Micro, Small, and Medium Enterprises (MSMEs) play a vital role in driving national and global economic growth. However, amid rapid digital transformation and intensifying global competition, MSMEs face significant challenges in remaining competitive and adaptive. The integration of artificial intelligence (AI) into the MSME ecosystem is viewed as a strategic solution to enhance operational efficiency, market insights, and product and service innovation. This study aims to examine how AI can be effectively integrated into MSME business processes to strengthen sustainable competitiveness. Using a qualitative approach and exploratory case studies involving MSMEs in Indonesia’s manufacturing and service sectors, this research identifies relevant and affordable strategies and models for AI implementation. The findings indicate that the use of AI in customer data analytics, business process automation, and supply chain management can improve productivity and open opportunities for global market expansion. The study also identifies key challenges in technology adoption, including limited digital human resources, technological infrastructure constraints, and low digital literacy among MSME actors. The results are expected to serve as a foundation for national policies and strategies to build an inclusive and sustainable digital economic ecosystem. This study contributes by proposing an AI integration model tailored to the MSME context in developing countries, particularly Indonesia.
Talent Management Model in Developing Female Students’ Entrepreneurial Competence: An Analysis of the Roles of Credibility and Personal Qualities
This study aims to analyze the influence of credibility and personal quality on female students’ entrepreneurial competence through a talent management approach. The research is based on the importance of developing individual potential and character as part of the strategy to foster young entrepreneurs within higher education institutions. The study employs a quantitative survey method involving 80 female students of the Management Study Program at STIM Sukma Medan who have taken entrepreneurship courses. Data were collected using a Likert-scale questionnaire and analyzed using multiple linear regression with SPSS 26.0 software. The results show that both credibility and personal quality have a positive and significant effect on entrepreneurial competence, both partially and simultaneously. The coefficient of determination (R²) of 0.612 indicates that the two independent variables explain 61.2% of the variation in entrepreneurial competence. These findings highlight that credibility and personal quality are key components in character-based talent management models in higher education. This research provides practical implications for educational institutions to strengthen character development and entrepreneurship training programs to produce competent, ethical, and competitive female entrepreneurs.
Economic Resilience and Inclusiveness of Indonesian Growth 2014–2023
This study aims to analyze the dynamics of Indonesia’s macroeconomic and social indicators from 2014 to 2023, with a focus on the resilience and inclusivity of economic growth during the COVID-19 pandemic and its recovery phase. Using a descriptive quantitative approach with longitudinal time-series analysis, secondary data were collected from the Central Statistics Agency (BPS) website. The research covers six key indicators: foreign exchange reserves (USD billion), broad money supply M2 (IDR trillion), economic growth rate (%), poverty rate (%), labor force participation rate (%), and inclusive growth (proxied by poverty and labor participation trends). The analysis comprises three stages: trend analysis, comparative analysis between the pre-pandemic (2014–2019) and pandemic-recovery periods (2020–2023), and descriptive econometric interpretation based on Keynesian theory, Friedman’s monetary theory, and inclusive development theory. Results indicate significant increases in foreign reserves and M2, a temporary poverty spike in 2020, stable improvements in labor force participation, and a sharp economic rebound from -2.1% (2020) to 5.1% (2023). Novelty lies in integrating macroeconomic stability and social inclusion perspectives within a single longitudinal framework. Limitations include the absence of micro-level household data, which restricts the depth of distributional impact analysis. Findings highlight the importance of adaptive fiscal-monetary coordination to sustain stability while ensuring inclusive growth.
Analysis of Factors Affecting Student Interest in A Career as A Public Accountant
This research aims to analyze the effect of variables X1, X2, and X3 on student interest in pursuing a career as a public accountant. The research employed a quantitative method with a survey of 30 students using a 20-item Likert scale questionnaire. Data were analyzed using multiple regression after testing for validity, reliability, and classical assumptions. The results show that all instruments are valid and reliable. The regression equation is Y = 0.756 + 0.254X1 + 0.329X2 + 0.286X3. The t-test proved that X1 (t = 3.098, sig = 0.005), X2 (t = 3.697, sig = 0.001), and X3 (t = 3.531, sig = 0.002) have a positive and significant effect on career interest. The F-test showed that the three variables have a simultaneous effect (F = 24.067, sig = 0.000). The coefficient of determination (R^2) is 0.743, meaning 74.3% of the variation in career interest is explained by X1, X2, and X3. Conclusion: X1, X2, and X3 have a positive and significant effect on student interest in a career as a public accountant, with X2 having the most dominant influence
Copyright (c) 2025 Tri Dessy Ratna Sari Ratna Sari, Fitra Tur Radiyah, Jenni Veronika Br Ginting, Hotma Mentalita, Mahesa Arga
Post-Migration Customer Satisfaction with BYOND by BSI Mobile Banking
This study analyzes customer satisfaction with the BYOND mobile banking application after the migration from BSI Mobile at Bank Syariah Indonesia (BSI) KC Binjai. A quantitative approach was applied using a structured questionnaire distributed to 70 customers who had migrated to BYOND in November 2024. The instrument was tested using validity and reliability tests. Data were analyzed using a t-test, simple linear regression, product-moment correlation, and coefficient of determination (R²) in SPSS. The results indicate that customer satisfaction is in the high category, with the dominant indicator being the fulfillment of customer expectations. Regression analysis shows that service quality significantly affects customer satisfaction (t = 20.160; p < 0.001), with an R² value of 0.857, meaning that 85.7% of the variance in customer satisfaction is explained by BYOND mobile banking service quality. These findings confirm that improving mobile banking service performance after migration is critical for sustaining customer satisfaction.
Copyright (c) 2025 Maulidina Maulidina, Andini Fanya
The Influence of Digital Promotion on the Decision to Purchase Crispy Oyster Mushroom
This study aims to analyze the effect of Digital Promotion on the Purchase Decision of crispy oyster mushroom products at Smile Chicken Medan MSMEs. The digital promotion referred to includes the use of social media such as Instagram, TikTok, WhatsApp, and the GoFood platform as the main promotional tools. The purchase decision is measured from consumer responses to the product after going through an evaluation process. This study uses a quantitative method by distributing questionnaires to 100 respondents, namely followers of the official Smile Chicken Medan Instagram account. The research instruments have been tested for validity and reliability with the results showing that all items in the Digital Promotion and Purchase Decision variables are valid (calculated r > table r = 0.196) and reliable, with Cronbach's Alpha values of 0.785 and 0.851, respectively. The normality test showed a normal distribution (Sig. = 0.200), The results of simple linear regression analysis produced the equation Y = 23.808 + 0.941X + e, with a significance value of 0.000 < 0.05 and a coefficient of determination (R²) of 0.285. This means that digital promotion significantly explains 28.5% of the variation in purchasing decisions, while the rest is influenced by other factors such as price, product quality, and customer satisfaction. Based on the t-test results, digital promotion was proven to have a significant effect on purchasing decisions (t count = 6.256; Sig. = 0.000). These findings support the hypothesis that digital promotion is an effective strategy in increasing purchasing decisions. Therefore, businesses are advised to continue developing promotional content that is consistent, attractive, and in line with the preferences of the target market.
Copyright (c) 2025 Zubaidah Hanum, Triya Novita Sari
Implementing Tawarruq in Digital Ar-Rahnu
The incorporation of tawarruq mechanisms within digital ar-rahnu systems signifies a pivotal transformation in the architecture of Shariah-compliant financial services. This mini-review critically investigates the convergence between tawarruq-based financing frameworks and emerging digital technologies namely artificial intelligence (AI), mobile applications, and blockchain infrastructure through the lenses of operational potential, regulatory complexity and Shariah alignment. Technological advancements such as ChatGPT and other AI-driven models are evaluated for their capacity to streamline operational efficiency, facilitate automated Shariah compliance screening and enhance consumer interaction. However, the implementation of these tools also introduces critical concerns related to citation reliability, jurisprudential depth and adherence to Islamic legal ethics. Major challenges encompass disparities in digital literacy, the commodification of personal data under surveillance capitalism, and threats to digital sovereignty. On the contrary, digital innovations like decentralized autonomous organizations (DAOs) and inclusive blockchain-based financial platforms offer promising avenues for expanding access to Islamic financial services. The review further assesses the efficacy of AI-generated content in Islamic finance, recognizing its value in preliminary knowledge dissemination while highlighting its deficiencies in scholarly rigor. This paper contributes to the evolving discourse on digital Islamic finance by emphasizing the necessity of rigorous Shariah governance to ensure ethical and effective integration of technology in tawarruq-driven financial instruments.
Copyright (c) 2025 Anisa Nasib, Siti Nadiah Mohd Salim, Nurul Ain Othman
Design and Development of an Interactive E-Learning Website Using Moodle as a Learning Platform
The development of information technology has driven transformation in the field of education, particularly through the implementation of digital-based learning systems. This research aims to design and develop an interactive e-learning website based on Moodle as a learning medium at SMP Dharma Pancasila Medan. The research methods used include observation, interviews, documentation, and literature review to analyze user needs and design the system according to existing problems. The developed system includes features for managing learning materials, discussion forums, assignments, and online quiz-based evaluations that can be accessed by teachers and students flexibly. The system design employs the Unified Modeling Language (UML) approach, consisting of use case diagrams, activity diagrams, sequence diagrams, and class diagrams. The implementation of this e- learning website is expected to improve the effectiveness of the learning process, facilitate material distribution, and encourage active student participation in learning activities. The research results show that the interactive e-learning website based on Moodle can serve as an alternative solution to support online learning at SMP Dharma Pancasila Medan. With integrated features and a user-friendly interface, this system is expected to enhance the quality of learning while providing a more modern, efficient, and engaging learning experience for both teachers and students.
Copyright (c) 2025 Devita Permata Sari, Meiliyani Br Ginting, Nirwan Sinuhaji, Marice Saragih, Ismar Hidayat, Trifena Br Rajagukguk
Development of a Web-Based Broadcast Script Management Information System at RRI Medan
This research discusses the Development of a Web-Based Broadcast Script Management Information System at RRI Medan. The system is designed to facilitate the management process of broadcast scripts, ranging from writing, submission, validation, to scheduling. The main problems frequently encountered include time- consuming manual processes, high risk of errors, and limited information accessibility among involved roles such as announcers, editors, administrators, and managers. By adopting a web-based system, all processes can be integrated centrally, supporting work efficiency and improving team collaboration in program production. The results of this study indicate that the developed system improves the effectiveness of script management by providing features such as user management, script submission, editor revisions, validation, and comprehensive reporting. The implementation of the MySQL database management system and PHP framework ensures secure and fast data processing, while the Waterfall methodology guarantees a systematic development process. The system implementation has proven to enhance efficiency, accuracy and transparency in broadcast script management at RRI Medan.
Copyright (c) 2025 Siti jamilah Br Tarigan, Surizar Rahmi Danur, Shinta Wulan Dwi
Decision Support System for Determining Senior High School Students’ Majors Using K-Nearest Neighbors and Decision Tree Methods
Determining Student Majors in Senior High School (SMA) is an important process that requires consideration based on academic data. This study aims to develop a web-based Decision Support System (DSS) for student major selection using the K-Nearest Neighbor (KNN) and Decision Tree Classifier algorithms. The system is developed using Python programming language with an interactive interface built on Streamlit. Five core subjects are used as input features, namely Mathematics, English, Biology, Physics, and Chemistry. The research method applied is software engineering with a prototyping approach, as this approach allows direct interaction between users and the system during the design and interface testing stages. The system is equipped with role-based login features, student grade input and management, criteria weight configuration, Excel data import/export, decision tree visualization, and KNN algorithm accuracy testing. The implementation results show that the system can predict student majors (Science or Social Studies) with an accuracy level above 90% on a limited test dataset. In addition, the Decision Tree visualization feature helps users understand the classification logic performed by the system.
Copyright (c) 2025 Dewi Yohana br Ginting, Eka Feby Ronauli Lubis, Romulo Aritonang, Rosita br Sianturi, Lastri Marsely br Ginting
Design and Implementation of an IoT-Based Automatic Irrigation System Using Soil Moisture Sensors and Automated Water Gate Control
This research, titled "Design and Construction of an IoT-Based Automatic Irrigation System Using Soil Moisture Sensors and Automatic Air Control," addresses the ineffectiveness of traditional irrigation methods, which cause air waste or freeze plants, due to their lack of real-time adaptation to environmental conditions.This research aims to implement an Internet of Things (IoT)-based automatic irrigation system by integrating soil moisture sensors and automatic air gate controls to manage air in real time based on plant needs and environmental conditions. This system utilizes an ESP32 microcontroller with Wi-Fi connectivity for remote monitoring and control via mobile devices or computers. This technological integration increases agricultural productivity, reduces air consumption, and maintains optimal soil moisture levels, contributing to sustainable air resource management amidst the challenges of climate change.
Copyright (c) 2025 David JM Sembiring, Junaidi, Roberto Kaban, Asprina Br Surbakti, Ita Margaretta Br Tarigan