Home Page Proceeding of the International Conference on Business, Innovation, Technology, and Science (ICoBITS) , Desember 2025
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Exploring How Halal Knowledge and Awareness Shape Gen Z’s Decisions to Buy Halal Cosmetics
This study aims to analyze the influence of halal knowledge and halal awareness on the purchase decisions of halal cosmetics among Generation Z in Banda Aceh. The halal cosmetics industry continues to grow in line with increasing halal literacy and the religious sensitivity of young consumers in regions that implement Islamic law. This research employs a quantitative approach with 120 respondents selected through a saturated sampling technique, and the data were analyzed using multiple linear regression with SPSS 26.0. The results indicate that halal knowledge significantly affects purchase decisions, while halal awareness does not have a significant partial effect. However, both variables simultaneously have a significant effect with a contribution of 6.5%, while 93.5% is influenced by other factors. These findings highlight the importance of halal literacy, producer transparency, and digital communication strategies to strengthen Generation Z’s preference for halal cosmetics.
Subtitling English Documentaries into Indonesian: Trends, Challenges, and Audience Impact (A Systematic Review)
This systematic literature review examines subtitling strategies employed in the translation of documentary videos from English into Indonesian. Based on an analysis of scholarly articles published from 2020 to 2025, this review synthesizes findings on the primary translation strategies, the reasoning behind their application, and their resulting impact on the target audience. The data sources for the reviewed studies include documentaries from TV programs, feature films, and streaming platforms like YouTube and Netflix. The findings indicate a prevalence of strategies aiming for equivalence and cultural adaptation, driven by the need to bridge linguistic gaps and ensure viewer comprehension while navigating the technical constraints of subtitling. The impact of these strategies generally points towards enhanced accessibility and understanding, although challenges in translating cultural nuances remain.
Supervised Learning Analysis (Prediction): Vote Margin per District – Sragen Local Election 2024
This study examines whether the difference in votes between candidate pairs in the 2024 Sragen Regional Election can be predicted using basic administrative data at the sub-district level. The analysis was carried out quantitatively with analysis units of 20 sub-districts in Sragen Regency. For each sub-district, the composition of voters (number of male voters, number of female voters, total Permanent Voter List), voter participation (participation rate, calculated as the number of valid votes divided by the total registered voters), and electoral results (difference in votes, defined as the votes of Candidate 1 minus the votes of Candidate 2). The purpose of this study is to explain why some sub-districts produce a very large difference in votes for one candidate (strong base), while other sub-districts are very tight and only differ by hundreds of votes (swing areas). The results of the study show three main patterns. First, sub-districts with large numbers of voters and high participation tend to produce wide vote differences for dominant candidates. Second, sub-districts with a difference of only hundreds of votes can be identified as competitive areas that can easily change direction if there is a slight change in voter mobilization. Third, the multiple linear regression model with variables of total registered voters, participation rate, and proportion of male voters was able to explain about 38% of the variation in vote difference between sub-districts. These findings show that the difference in votes is not just the final result of the count, but is related to the ability to mobilize voters in densely populated areas as well as to the demographic structure of voters in those areas.
Risk Management Analysis of Online Culinary SMEs Using Failure Mode and Effect Analysis (FMEA) and Fishbone Diagram: A Case Study of Stick Roll Chicken in Malang
Small and Medium Enterprises (SMEs) in the culinary sector face growing technological and operational challenges due to digitalization and complex supply chains. This study analyzes the risks faced by Stick Roll Chicken, an online-based SME in Malang, Indonesia, using an integrated Fishbone Diagram and Failure Mode and Effect Analysis (FMEA). Data were collected through interviews, observations, and document analysis. The Fishbone Diagram identified root causes across six dimensions which is Man, Machine, Method, Material, Environment, and Management that highlighting issues such as inconsistent procedures, supplier dependence, unstable connectivity, and limited managerial control. FMEA scoring showed that technological dependency (RPN = 336) and operational inefficiencies (RPN = 320) were the most critical risks. Mitigation strategies recommended include SOP standardization, supplier diversification, improved technological backup systems, and strengthened management practices. The integrated FMEA–Fishbone approach offers a systematic framework for enhancing risk management and operational resilience in online culinary SMEs.
The Concept of Environmentally Friendly and Safe Roads for Intercity
The concept of environmentally friendly and safe roads represents an integrated approach to intercity road development that harmonizes transportation efficiency, environmental sustainability, and user safety. This study examines key design principles, construction methods, and operational strategies designed to minimize the environmental impact of road infrastructure while improving safety for all road users. Environmentally friendly road design emphasizes the use of sustainable materials, effective drainage systems, green landscaping, and energy-efficient lighting. Meanwhile, safety considerations focus on geometric design, clear signage, speed management, and the integration of intelligent transportation systems (ITS). The study highlights how intercity roads can serve as both transportation corridors and ecological connectors, minimizing land degradation and promoting environmental resilience. Through a literature-based analysis, this paper identifies best practices and innovative approaches from various countries that can be adopted in Indonesia and similar developing contexts. The integration of environmental and safety aspects is essential for achieving sustainable road development, reducing accident rates, and supporting green mobility initiatives. Ultimately, the concept of environmentally friendly and safe roads provides a framework for designing future intercity transportation systems that are efficient, inclusive, and environmentally responsible.
A Comparative Study of Text Classification Performance Using NBC and KNN with N-Gram Features in E-Government Services
The Sambat Online service is a promising platform developed by the Malang City Government to collect feedback and suggestions from the public as part of efforts to enhance government service quality. To ensure that citizen feedback is effectively categorized and delivered to the relevant departments, a highly accurate text classification method is required. This study investigates the application of N-Gram features in two popular text classification algorithms: Naïve Bayes Classification (NBC) and K-Nearest Neighbor (KNN). The research aims to analyze and compare the performance of different N-Gram models (unigram, bigram, and trigram), both individually and in combination, for classifying textual data obtained from the Sambat Online system. Experimental results demonstrate that incorporating N-Gram features significantly improves the accuracy of both NBC and KNN classifiers. Among the evaluated methods, NBC achieved consistently higher performance across multiple feature combinations. The highest classification accuracy was obtained when all three N-Gram types were combined, yielding an accuracy of 98.67% for NBC and 97.17% for KNN. These findings indicate that the integration of N-Gram features can effectively enhance text classification performance in e-government applications, particularly when implemented using NBC.
The Postmodern Turn in Educational Leadership: From Managerialism to Reflexive Praxis
Contemporary educational leadership remains largely trapped within the logic of managerialism an ideology that privileges efficiency, control, and performativity over meaning, ethics, and reflection. This article argues that the postmodern turn represents a necessary epistemological and moral shift away from technocratic rationality toward a reflexive praxis of leadership. Drawing on postmodern thinkers such as Lyotard, Foucault, Derrida, and Bauman, this conceptual interpretive study deconstructs the dominant managerial discourse that has colonized educational institutions. Using hermeneutic and deconstructive analysis, the paper explores how power or knowledge relations shape leadership practices and how reflexivity can reorient leaders toward dialogical, ethical, and context-sensitive action. The proposed model of reflexive praxis leadership integrates critical awareness, ethical responsibility, and continuous self-reflection as core dimensions of educational leadership in liquid modernity. Rather than seeking certainty and control, postmodern leadership embraces ambiguity, multiplicity, and the moral imperative to “lead with consciousness.” This paradigm shift redefines educational leadership not as administrative management but as an ongoing act of meaning-making and ethical engagement with others. The study concludes that a postmodern approach offers a transformative framework for rehumanizing educational institutions and cultivating leadership as a practice of critical consciousness and moral imagination.
The Role of Accounting Information Systems in Enhancing MSME Performance Post-Pandemic: A Review
This article reviews and synthesizes existing literature on the role of Accounting Information Systems (AIS) in improving the performance of Micro, Small, and Medium Enterprises (MSMEs) in the post-pandemic recovery period. The pandemic accelerated the need for digital tools, making AIS an essential component for enhancing financial transparency, operational efficiency, and business resilience. Using a descriptive qualitative approach based on an article review method, this study analyzes journal publications, conceptual papers, and empirical studies published between 2015 and 2025 that discuss AIS adoption, MSME digital transformation, and post-pandemic business recovery. The review identifies three dominant contributions of AIS to MSME performance: (1) improving operational efficiency through automation of financial processes, (2) strengthening the accuracy, reliability, and transparency of financial reporting, and (3) enhancing managerial decision-making by providing real-time and data-driven insights. In addition, the literature highlights several persistent challenges faced by MSMEs, including limited digital skills, inadequate technological infrastructure, and financial constraints that hinder AIS implementation. This review contributes to a deeper conceptual understanding of AIS as a strategic tool for MSME performance improvement in the post-pandemic era. It also provides practical implications for MSME practitioners and policymakers to strengthen digital capability, promote technology adoption, and support the sustainability and competitiveness of MSMEs in a rapidly evolving digital environment
Digitalization and Financial Reporting of MSMEs in the Green Economy Era: A Review
This study conducts an article review to examine how digitalization influences the financial reporting practices of Micro, Small, and Medium Enterprises (MSMEs) within the green economy era. Advances in digital technologies including cloud accounting, blockchain-based systems, and electronic reporting tools are reshaping MSME financial management by improving efficiency, accuracy, and transparency. However, evidence linking digital financial systems with sustainability-oriented reporting remains limited, particularly in developing economies. Using an article review method, this study synthesizes relevant literature published between 2013 and 2025 from major academic databases. The review identifies three core themes: (1) digital adoption and improvements in financial efficiency, (2) enhanced reporting transparency and data reliability, and (3) the integration of sustainability elements through green and ESG-oriented financial disclosure. Findings indicate that digitalization can strengthen MSME financial accountability, support access to green financing, and encourage alignment with Environmental, Social, and Governance (ESG) standards. Nonetheless, challenges persist, including limited digital literacy, insufficient technological infrastructure, and the lack of standardized sustainability reporting frameworks for MSMEs. Overall, the study highlights the need for an integrated digital–financial reporting framework that incorporates ESG indicators to support green digital accounting. The findings provide valuable insights for future research and offer guidance for policymakers in promoting sustainable digital transformation among MSMEs.
AI-Powered Storytelling for the Preservation of the Acehnese Language in Early Childhood Learners
This study explored the potential of AI-powered storytelling tools to support early childhood learning and maintenance of the Acehnese language. As the intergenerational transmission of Acehnese continues to decline, innovative digital approaches are needed to make the language appealing and accessible to Acehnese young children. This research employed a design-based approach to develop an Acehnese storybook using AI-driven tools, namely Gemini AI and Canva. The storybook was designed to reflect Acehnese values while appealing to children’s visual and linguistic interests. It was piloted in two early childhood education centers in Banda Aceh to assess their effectiveness in enhancing children’s vocabulary recognition, comprehension, and engagement. Observations, language tasks, parent interviews, and teacher interviews revealed that children responded positively to the digital stories, showing improved attention, curiosity, engagement, vocabulary recognition, and emotional connections to the Acehnese language. The study highlights how such AI tools can empower educators and communities to preserve local language through creative, story-based learning. It offers a practical and scalable model for integrating AI-driven storytelling into early language education and cultural revitalization efforts in Indonesia.
Integrating Environmental Accounting into Small Coastal Fisheries: A Review
This study reviews and synthesizes existing research on the integration of environmental accounting in small coastal fisheries. Using an article review approach, this study analyzes peer-reviewed literature published between 2015 and 2024 to identify thematic patterns, methodological developments, and research gaps related to sustainability accounting in small-scale marine enterprises. The findings indicate that environmental accounting significantly enhances transparency, operational efficiency, and environmental responsibility in coastal fisheries. Three dominant themes emerge: (1) the use of environmental accounting to support sustainable resource management, (2) institutional, financial, and technical barriers in its implementation, and (3) the contribution of accounting practices to the blue economy and community-based sustainability. Despite these benefits, empirical applications remain limited, particularly in adapting accounting models to the socio-ecological characteristics of coastal communities. Existing frameworks often overlook local knowledge, environmental variability, and governance challenges that shape fisheries management. This study contributes by consolidating scattered evidence across environmental science, accounting, and fisheries management, and by proposing a conceptual link between environmental accounting, resource governance, and community welfare. The review highlights the need for further empirical research to design context-sensitive accounting tools that strengthen sustainable marine resource management and support the transition toward blue economy development.
Chatbot Tutor vs. Human Tutor: Assessing Learning Effectivenes in AI- and Human-Led EFL Learning
This study investigates the comparative effectiveness of chatbot-led and human-led instruction in teaching English grammar to undergraduate EFL learners in Indonesia. Using a quasi-experimental design, the study involved 30 students from the English Department of Universitas Serambi Mekkah who were divided equally into a chatbot group (CG) (n=15) and a human tutor group (HTG) (n=15). Both groups received instruction on the simple past tense with a focus on irregular verbs during a single structured learning session. Grammar development was measured through pre-tests and post-tests, supported by semi-structured interviews to explore their perceptions. The findings show that both instructional modes resulted in measurable improvement in grammatical accuracy. The human tutor group achieved slightly higher gains in sentence construction, indicating deeper conceptual understanding, while the chatbot group reported higher engagement, reduced anxiety, and greater learner autonomy. These results suggest that chatbot tutors are effective for form-focused practice and affective support, whereas human tutors remain essential for nuanced explanation and adaptive teaching. Regarding the limitations, the chatbot group noted chatbot’s ineffectiveness in providing contextual explanations while the human tutor group considered time as the major constraint in accessing continuous and individualized support. The study concludes that a blended approach integrating chatbot tools with human instruction offers the most pedagogically effective model for EFL grammar learning.
“Lon Ureung Aceh Check!”: Social Media Gamification for Acehnese Language Maintenance among Digital Natives
The use of the Acehnese language among Acehnese youth has declined significantly due to globalization, reduced intergenerational transmission, and the dominance of national and global languages in everyday and digital communication. This paper proposes the use of local language gamification on social media as an innovative approach to maintain local languages among younger generations who are known as digital natives. The project integrates game-like interaction through an Instagram quiz filter that combines visual play with speech recognition. Conceptually developed using Meta Spark AR Studio, the design challenge users to pronounce Acehnese words correctly in order to advance through fun, culturally themed levels. The gameplay consists of three levels: everyday expressions (e.g., Peu haba?, Haba get, Jeut), polite phrases (e.g., Teurimong geunaseh, Meu’ah), and cultural idioms (e.g., Phui tuleung, Pajoh jalo toh kapai). Correct pronunciation allows a virtual object to pass through a hole, accompanied by traditional Acehnese sound effects. The design emphasizes accessibility, engagement, and the promotion of cultural identity, demonstrating how lightweight interactive filters can function as tools for micro-learning and community-based language maintenance. Overall, this study highlights the potential of AI-supported gamified media as a creative, low-barrier strategy for preserving and promoting minority languages in the digital era.
Design and Development of Learning Tools Through Web-Based Puzzle Games
The development of digital technology offers significant opportunities for developing interactive learning media for early childhood. Educational games are an effective alternative for improving cognitive abilities because they offer a fun learning process tailored to children's characteristics (Rahayu & Dewi, 2021). One widely used form of interactive media is digital puzzles, which have been shown to stimulate children's thinking skills, concentration, and memory through the gradual activity of assembling visual shapes (Sari & Putra, 2020; Novita & Krissandi, 2021). Furthermore, research shows that educational games designed with interactive mechanisms can significantly improve working memory and focus in elementary school-aged children (Handayani & Rahayu, 2023; Maulana & Siregar, 2021). On the technical side, HTML5 and JavaScript are considered relevant for developing web-based educational games because they are cross-platform, easily accessible, and offer robust graphics and animation support through the Canvas API and game frameworks like Phaser (Ibrahim & Rahman, 2022; Saputra & Pratama, 2020). Based on these findings, the development of web-based digital puzzle media has the potential to become an interactive learning solution that is not only visually engaging but also capable of improving children's cognitive aspects, such as memory, problem-solving, and concentration. These findings support the importance of developing web-based educational games with a targeted, interactive approach oriented toward improving children's learning abilities.
Global Financial Transformation: From Crisis to Collective Solutions Through Innovation and Sustainability
The continuous shifts in the global economy marked by recurring financial crises, market instability, and widening social inequality highlight the urgent need to reform financial systems to become more resilient and sustainable. This study aims to examine how financial innovation and the application of sustainability principles can drive the transformation from crisis conditions toward the creation of collective solutions that are more stable and inclusive. The research employs a qualitative approach with descriptive analysis, drawing on literature reviews, reports from international financial institutions, and relevant secondary data. The findings reveal that advancements in financial technology, such as digital banking, fintech services, and green financial instruments, play a crucial role in enhancing efficiency, transparency, and public access to financial services. The discussion indicates that the success of global financial transformation depends not only on technological innovation but also on crosssector collaboration, sustainabilityoriented public policies, and the implementation of accountable governance. In conclusion, a global financial transformation grounded in innovation and sustainability serves as a strategic approach to strengthening global economic stability, reducing social disparities, and building a fair, inclusive, and crisisresilient financial system for the future
Design of the ‘LAPPY’ Card Game as an Educational Medium for Daily Activities to Limit Screen Time in Children Aged 9-12 Years
Screen time is a common activity in today’s digital era, such as when children engage in online learning, play games, or use social media anything that involves screens. This study aims to help children understand and manage their daily activities in a balanced manner while becoming aware of appropriate limits for screen use. Using the design thinking method with stages of empathize, define, ideate, prototype, and test, this research resulted in a card game titled “LAPPY”, which focuses on managing daily activities up to a total of 24 hours through a mechanism of completing mandatory cards and calculating earned time points. Designed primarily for children aged 9-12 years, the game helps them recall their screen time duration and organize their daily activities more effectively. Testing involved media experts (94%), material experts, teachers (94.6%), material experts, doctors (98.6%), the general public (91%), and children (95%), showing that the game is suitable as an educational medium and an enjoyable learning tool. Therefore, the “LAPPY” card game can support children in developing habits of managing their daily activities from an early age while reminding them of appropriate screen time limits within a day.
Analysis of Supply Chain Performance in the CPO Production Process Using the Supply Chain Operations Reference (SCOR) Method
PT Kebun Ganda Prima–Palm Oil Mill (PT KGP–PKS) Kembayan is a company engaged in oil palm plantation and processing, with Crude Palm Oil (CPO) as its primary product. The company faces several challenges related to the performance of its CPO production supply chain. This study aims to evaluate the performance of the CPO supply chain and propose best-practice recommendations to enhance its efficiency and effectiveness. The research applies the Supply Chain Operations Reference (SCOR) model to assess supply chain performance based on three key attributes: Reliability, Responsiveness, and Flexibility. Performance evaluation is conducted through benchmarking by comparing actual operational data with company-defined targets, followed by inefficiency analysis to identify performance gaps. Subsequently, a best-practice analysis is performed to formulate improvement strategies. The results indicate that the supply chain reliability of PT KGP–PKS Kembayan is at a satisfactory level, with a Perfect Order Fulfillment (POF) rate of 87.11%. Full order delivery reached 100% with no returns, document accuracy and product condition also achieved 100%, while on-time delivery accuracy was 87.11%, with a delay rate of 12.89%. In terms of responsiveness, the order fulfillment lead time was 6.33 days (151.92 hours), which is below the company’s standard of seven days and therefore considered acceptable. Regarding flexibility, the supply chain requires an additional three days (72 hours) to respond to disruptions, indicating a good adaptive capacity. Overall, the findings provide a basis for targeted improvements to enhance the performance of the CPO supply chain at PT KGP–PKS Kembayan.
Supply Chain Operations Reference (SCOR).
Simulation of IR-Based Remote Control on a Multisensor Mikrocontroller System for Environmental Monitoring Using Wokwi
Monitoring environmental conditions such as temperature, humidity, distance, and gas concentration is an essential requirement in modern security and automation systems. The integration of multiple sensors into a single system (multisensor system) enables comprehensive data acquisition of the surrounding environment. However, most monitoring systems are still operated manually. The use of an infrared (IR) remote control allows users to configure, display, or change monitoring modes without direct physical interaction. With the Wokwi platform, the design of such systems can be virtually simulated before real implementation, providing efficiency in both time and cost
Development of Line Follower and Ultrasonic NodeMCU ESP8266 Motor Shield
This project details the design, implementation, and optimization of a low-cost, autonomous mobile robot that integrates dual functionalities: line-following and ultrasonic obstacle avoidance. The system utilizes a NodeMCU ESP8266 microcontroller as its central processing unit, interfaced with an L298N motor shield for precise bidirectional control of two DC gear motors. For navigation, an array of three TCRT5000 infrared reflectance sensors is employed to track a high-contrast black line on a white surface. Concurrently, an HC-SR04 ultrasonic sensor provides real-time obstacle detection to enable avoidance maneuvers. A primary challenge addressed is the optimization of TCRT5000 sensor performance, where empirical testing revealed that a critical mounting height of 10–12 mm is essential to prevent signal saturation and ensure reliable differential detection between the line and the background.
Spiral Casing Design Analysis for Francis Turbine Water Flow Distribution Using CFD Method
The most important component affecting the efficiency of a Francis turbine in converting water energy into electricity is the spiral casing, which functions to distribute water flow evenly to the turbine blades. The decrease in water discharge during the dry season causes suboptimal flow distribution and reduces turbine performance. This study aims to analyze the effect of the spiral casing design on the distribution of pressure, velocity, and flow patterns using the Computational Fluid Dynamics numerical simulation method with ANSYS Fluent software. The method used is the Research and Development approach with two variations of the spiral casing design, namely the 2538 mm inlet design and the 2600 mm inlet design. Simulations were conducted to compare the distribution of pressure, velocity, and streamline patterns in each design. The results showed that the modified design was able to improve flow distribution, reduce turbulent zones, and produce more even pressure and velocity.
Toward Safe Artificial General Intelligence: Collective Narrow AI Collaboration with an Artificial Prefrontal Cortex
General intelligence remains in its developmental stage. At present, most artificial intelligence systems are still categorized as narrow AI, capable of performing only specific and well-defined tasks. To move toward more general intelligence, a promising approach is through collective collaboration among multiple narrow AIs. However, the uncontrolled growth of such systems could pose significant risks in the future. To mitigate these risks, we propose the implementation of an artificial prefrontal cortex mechanism within the collaborative framework of narrow AIs. This mechanism functions as both a safety controller and a task switcher, determining which narrow AI should be activated for a given context. Through this architecture, the collaborative system may evolve toward adaptive and safe general intelligence, which is capable of coordination and reasoning, yet constrained by ethical and operational safeguards.
The Relationship Between Physical Activity And Nutritional Intake By Measuring Upper Arm Circular Folds And Measurements In Students Of The Medical Education Study Program, Faculty Of Medicine, Islamic University Of Malang
Physical activity and diet are important factors influencing the nutritional status. During late adolescence and early adulthood, energy needs increase due to the intensity of activities. Thus, skipping meals and low physical activity influence personal nutritional status. The study aimed to determine the effect of physical activity and nutritional intake on adult nutritional status, as measured by mid-upper arm circumference (MUAC) and mid-upper arm fold (LLA), among medical students of the Faculty of Medicine, Universitas Islam Malang (UNISMA). The study design was a descriptive-analytical with a cross-sectional method. The respondents consisted of 87 students selected using a total sampling technique. Data were collected using the International Physical Activity Questionnaire (IPAQ) for physical activity, the food frequency questionnaire for nutritional intake, and measurements of MUAC and LAC were made using standard tools. Statistical analysis used the Chi-Square test with a significance level of p less than 0.05. The ages of major respondents were 19 years old (58.6%), female (69.0%). Most students required light physical activity (70.1%) and inadequate nutritional intake (66.7%). The physical measurement respondents' results showed a good nutritional MUAC (54%), 28.7% were malnourished, and 17.3% were obese. Meanwhile, 58.6% of respondents had an average MUAC, and 27.6% were ideal. The physical activity impacted both MUAC and LLA (p<0.001), as well as nutritional intake (p<0.001). Physical activity and nutritional intake are particularly associated with students' nutritional status. It is important to keep the balance between nutritional intake and regular physical activity to prevent nutritional problems in adult students.
IdentiPlate: An Android-Based Automatic License Plate Recognition and Carbon Emission Calculation on Automobile Campus Ingress/Egress
Academic institutions are not exempt from challenges in managing vehicle transportation, including traffic congestion, inefficient ingress and egress, and the resulting environmental concerns. With the rising volume of vehicles entering and exiting campuses, there is a pressing need for systems that can streamline traffic management while addressing the institution's environmental impact. This problem calls for innovative solutions that balance operational efficiency with sustainability. To address these emerging problems, IdentiPlate has been developed, an integrated system combining automatic license plate recognition (ALPR) with vehicle carbon emission calculations. The system consists of an Android app that utilizes an API for text and image recognition to automatically identify license plates and calculate carbon emissions based on variables such as emission factors, travel distances, and fuel economy data. Additionally, a web-based platform facilitates data management and tracks vehicle ingress and egress. Overall, the IdentiPlate demonstrated its ability to improve operational efficiency and promote environmental responsibility. User feedback indicates that the system was tailored to meet institutional needs, with enhancements suggested to optimize it further.
Developing Learning Media Using Canva and Wordwall Application for the History of Pancasila Fourth Grade in Elementary School
Pancasila education plays an important role in shaping the character and instilling a sense of nationalism in students from an early age. However, the learning process, which still uses conventional and monotonous media, has resulted in low interest and engagement among students. This study aims to develop interactive learning media based on Canva combined with Wordwall for the subject of the History of the Formulation of Pancasila for fourth-grade elementary school students. The method used is research and development (R&D) by adapting the Borg & Gall model through nine stages, namely: (1) research and information gathering, (2) planning, (3) initial product development, (4) design validation, (5) small-scale testing, (6) product revision, (7) limited testing, (8) final product revision, and (9) producing a valid and effective product. The research subjects included fourth-grade students at SDN Landungsari 2 Malang. The research instruments consisted of validation sheets from media experts, subject matter experts, and language experts, as well as response questionnaires for teachers and students. The validation results showed a very high level of feasibility, namely 95% from media experts, 87.5% from material experts, and 84% from language experts. Teacher responses reached 90%, while student responses were 76.47%. These results indicate that Canva and Wordwall-based interactive media are feasible and effective for use in Pancasila Education because they can improve students' conceptual understanding, motivation, and active involvement in the learning process.Pancasila education plays an important role in shaping the character and instilling a sense of nationalism in students from an early age. However, the learning process, which still uses conventional and monotonous media, has resulted in low interest and engagement among students. This study aims to develop interactive learning media based on Canva combined with Wordwall for the subject of the History of the Formulation of Pancasila for fourth-grade elementary school students. The method used is research and development (R&D) by adapting the Borg & Gall model through nine stages, namely: (1) research and information gathering, (2) planning, (3) initial product development, (4) design validation, (5) small-scale testing, (6) product revision, (7) limited testing, (8) final product revision, and (9) producing a valid and effective product. The research subjects included fourth-grade students at SDN Landungsari 2 Malang. The research instruments consisted of validation sheets from media experts, subject matter experts, and language experts, as well as response questionnaires for teachers and students. The validation results showed a very high level of feasibility, namely 95% from media experts, 87.5% from material experts, and 84% from language experts. Teacher responses reached 90%, while student responses were 76.47%. These results indicate that Canva and Wordwall-based interactive media are feasible and effective for use in Pancasila Education because they can improve students' conceptual understanding, motivation, and active involvement in the learning process.
From Environmental Responsibility to Profitability: The Role of Green Accounting and Environmental Performance in Indonesia’s Manufacturing Firms
In the modern business landscape, environmental sustainability has become a strategic necessity, especially for manufacturing companies in the food and beverage industry. Growing environmental awareness and corporate social responsibility pressures have led firms to adopt green accounting practices and improve environmental performance as part of corporate accountability. This study examines how green accounting and environmental performance influence the financial performance of food and beverage manufacturing firms listed on the Indonesia Stock Exchange (IDX) during 2022–2023. Using a quantitative research design, the study employed a purposive sampling technique and selected 30 companies that consistently published annual reports and PROPER environmental performance data. Secondary data were obtained from the IDX official website and PROPER reports issued by the Ministry of Environment and Forestry. Data analysis was conducted using multiple linear regression in SPSS 26, supported by t-tests and F-tests to evaluate partial and simultaneous effects. The results show that both green accounting (t = 2.340) and environmental performance (t = 4.812) significantly and positively affect financial performance, with all t-values exceeding the critical threshold. The F-test further confirms that these variables together have a significant combined effect (F = 14.638; p < 0.001). The regression model explains 61.9% of the variation in financial performance, indicating strong explanatory power. Moreover, environmental performance has a more substantial impact (β = 12.495) compared to green accounting (β = 2.221). In conclusion, the study demonstrates that integrating environmental considerations into accounting systems and operational activities strengthens corporate sustainability while simultaneously improving financial outcomes. The evidence supports the idea that environmentally responsible practices generate tangible economic benefits, especially in sectors highly exposed to ecological concerns such as food and beverage manufacturing.
Empowering Educational Researchers through Effective Data Presentation Methods: Balancing Clarity, Accuracy, and Interpretability
In the field of educational research, the ability to present data clearly and accurately plays an important role in ensuring that research results can be interpreted correctly. However, many novice researchers still face difficulties in choosing data presentation methods that can effectively communicate their research results. This study aims to analyze the advantages and disadvantages of several data presentation methods commonly used in educational research, with a focus on how each method supports clarity, accuracy, and interpretability. Using a qualitative descriptive approach, this study examines various examples of visual and textual data presentation, including tables, graphs, and narrative descriptions, to evaluate their effectiveness in conveying clear and easily understood information. The results of the analysis show that visual representations can improve clarity and attract readers' attention, but they can also oversimplify complex data. Conversely, presenting data in textual or tabular form may maintain accuracy, but may reduce accessibility for a wider readership. This study concludes that effective data presentation requires a balanced integration of visual and textual elements, based on the principles of transparency and reader-centered communication. These findings imply that it is important to develop data literacy and presentation skills among education researchers in order to strengthen the credibility of research, encourage collaboration, and empower the academic community in the ever-changing world of education and innovation.
Analyzing the Role of Generative Artificial Intelligence (GenAI) in Supporting Customer Discovery Activities in Early-Stage Software Startups
Early-stage software startups in Indonesia face a high mortality rate, predominantly driven by a lack of market need and ineffective problem validation. While Customer Discovery is a critical phase to mitigate these risks, it is often hindered by limited resources and time constraints. The emergence of Generative Artificial Intelligence (GenAI), particularly Large Language Models (LLMs), offers new potential to accelerate iteration and analysis within this process. This study aims to identify Customer Discovery activities supported by GenAI and analyze the adoption levels and human-AI collaboration patterns using the Human-AI Collaboration and Adaptation Framework (HACAF). The research methodology employs a mixed-method approach, combining quantitative surveys and in-depth interviews with startup founders in Indonesia. The HACAF framework is utilized to evaluate adoption determinants, including perceptions of technology, compatibility factors, social factors, and personal/environmental factors. The findings are expected to provide a comprehensive mapping of GenAI's role as an assistant, collaborator, or co-creator in market validation, offering strategic guidance for startups to effectively integrate GenAI during the initial product development phase.
Human–AI Co-Creation Analytical Framework
Dissolve: IoT and AR-based Multisensory Therapy Tools for Children with Dyslexia
Children with dyslexia experience difficulties in recognizing characters, which lead to limitations in reading ability. This challenge is further compounded by their short attention span. Conventional therapy methods guided by child psychologists have been used for a long time but remain time-consuming and require intensive supervision. The growing trend of technological innovation has encouraged students to develop new approaches that enhance therapeutic experiences using modern technology. Therefore, this study introduces an innovation in the form of a multisensory therapy device based on the Internet of Things (IoT) and non-visual Augmented Reality (AR). The device is designed to improve therapeutic intervention for children with dyslexia. Dissolve integrates tactile puzzle elements equipped with NFC sensors and an ESP32 microcontroller, connected to a Progressive Web App (PWA) that provides real-time interactive feedback without using a camera. The development process was conducted by Information Systems students using the Design Thinking approach with the Double Diamond model (Discover–Define–Develop–Deliver). The tool was tested directly with children diagnosed with dyslexia. Experimental results show significant improvements in phonetic accuracy (from single-letter recognition to >95% sequential phoneme accuracy), decoding ability for two- to six-letter words and focus duration from approximately 30 minutes to one hour per session. Dissolve also demonstrated high usability, stable connectivity (BLE signal loss < 2%), and improved therapy efficiency compared to conventional methods. These findings affirm that Dissolve serves as an innovative multisensory therapy solution for children with dyslexia, making the therapeutic process more inclusive, efficient, and engaging.
Enhancing Nursing Students’ Knowledge in Tropical Nursing through Tropical NurseTalk Podcast : A Pre–Post Quantitative Study
As global health challenges continue to rise, nurses are increasingly required to integrate scientific knowledge with cultural competence to provide responsive and equitable care. However, accessible and engaging learning media that support nursing students’ understanding of tropical nursing remain limited. To address this gap, the Tropical NurseTalk podcast was developed to strengthen students’ knowledge by integrating global perspectives with local wisdom as part of culturally competent practice. This study aimed to evaluate the educational impact of the podcast on nursing students’ knowledge of tropical nursing. A quantitative pre–post design was employed involving 32 undergraduate nursing students who are enrolling Tropical Nurse Course. Participants completed a 15-item knowledge test before and after listening to the episode. Data were analyzed using paired-samples t-tests with a significance level of p < 0.05. The analysis yielded t(31) = 0.20, p = 0.84, indicating no statistically significant difference between pre- and post-test scores, with a very small effect size (Cohen’s d = 0.05). However, item-level performance ranged from 71.9% to 100%, demonstrating generally strong comprehension and suggesting that the podcast may have reinforced existing knowledge and clarified key concepts. Overall, the Tropical NurseTalk podcast serves as an effective and accessible digital learning tool that enhances nursing students’ knowledge and promotes culturally responsive thinking by connecting local insights with global health perspectives.