International Conference Information Technology and Business
Prosiding International Conference Information Technology and Business (INCONITBis) merupakan konferensi akademik tahunan yang bertujuan untuk menjadi wadah bertemunya para akademisi, peneliti, praktisi, dan mahasiswa dari berbagai negara untuk mendiskusikan isu-isu terkini, tren, serta hasil riset di bidang teknologi informasi dan bisnis. Konferensi ini menjadi sarana pertukaran ide dan kolaborasi multidisipliner yang dapat mendorong inovasi dan pengembangan berkelanjutan di era digital.
Empowering Inclusive Education: Identifying Strategic Creative Hub Locations Supporting Students with Disabilities through Data Mining and Heatmap Visualization
This research aims to identify optimal locations for the development of inclusive creative hubs for students with disabilities, particularly those with mental and intellectual disabilities, in Palembang City. The study utilizes a data-driven approach, combining data mining techniques and spatial visualization using heatmap. The data used in this study is sourced from the Basic Education Data (dapo.kemdikbud.go.id) and verified by the Disability Services Unit of the Palembang City Education Office, which includes information on the number of students with disabilities and the accessibility of educational facilities in the region. Through data analysis, this study identifies districts in Palembang with high concentrations of students with disabilities and evaluates the need for inclusive facilities in these areas. By applying data mining techniques such as clustering and generating heatmaps, this research produces maps that highlight the optimal locations for the development of creative hubs that support the physical, intellectual, and social development of students with disabilities. The findings indicate that several districts, including Sukarami, Ilir Barat I, and Kalidoni, require greater attention in the development of inclusive facilities. The identified creative hubs can provide spaces for students with disabilities to interact, learn, and develop in a supportive environment. This research also emphasizes the importance of integrating spatial data into urban planning to create more inclusive spaces, ensuring that development policies prioritize the needs of students with disabilities. Ultimately, this study offers significant contributions to the planning of more inclusive public spaces and provides a solid foundation for decision-making in urban planning that is both inclusive and sustainable in Palembang City.
Hak Cipta (c) 2026 Intra Swadaya Hidayat , Tri Octafian, Dani Pamungkas Pamungkas, M.Ferdy M.Ferdy4 , Gilang Pratama (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
Implementation Of Design Thinking In The Creation Of Nirmala Tab Products
This study aims to determine consumer interest in clean water filters that are beneficial for Indonesian society. Design thinking, quantitative methods, questionnaires, interviews. Based on the results of testing the Nirmala Tab product prototype using the Design Thinking method, the prototype created attracted many potential consumers to Nirmala Tab. This research was limited in its testing and development of improved products. This research is useful for preventing the impending clean water crisis in Indonesia and for business and management studies.
Hak Cipta (c) 2025 Bima Puja Kesuma, Muhammad Fajar Ariwibowo, Cindy Olivia Taslim, Sandi Prasahatan Nasution, Khotop (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
Comprehensive Visualization of Multisectoral Data in Pagar Alam City: Integration of Bps Statistics Into a Google Looker Studio Dashboard to Support Regional Planning
This study aims to develop a comprehensive visualization of multisectoral data for the City of Pagar Alam by integrating data from the Central Bureau of Statistics (BPS) into a Google Looker Studio dashboard to support more effective regional planning. Optimal regional planning is expected to drive sustainable growth and improve community welfare. Although BPS provides accurate data, challenges in its presentation and interpretation often hinder effective decision-making. Through the Google Looker Studio platform, this study explores the creation of an interactive dashboard that presents demographic, education, agriculture, and economic sector data, enabling stakeholders to more easily identify patterns and trends. The results of this study show that effective data visualization can enhance transparency and accountability in the planning process and provide deeper insights for strategic decision-making. These findings not only contribute to improving planning in Pagar Alam City but also serve as a potential model for other regions in Indonesia aiming to optimize data use in decision- making.
Hak Cipta (c) 2025 Sri Rahayu, Idi Hermansyah, M.Said Hasibuan (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
Financial Independence and Dependence Ratio Of City Government in Southern Sumatra Region 2020-2022
This study aims to analyze the financial independence and dependency ratio of city governments serving as provincial capitals in Southern Sumatra with a case study of 5 (five) city governments, namely Bengkulu City, Palembang City, Jambi City, Bandar Lampung City, and Pangkal Pinang City. This study was conducted using secondary data from the website www.djpk.kemenkeu.go.id in the form of APBD data for the 2020-2022 period to determine the level of financial independence and dependency ratio of these local governments. The financial independence of local governments indicates the extent to which a region canrely on local revenue sources without relying on transfers from the central government. This study uses a quantitative approach by measuring the ratio of regional financial independence and the ratio of dependency on transfer funds. The results of the study indicate that the financial capabilities of the five city governments are on average still not independent and still depend on transfer funds from the central government. For the city government that is at the lowest level of independence is the Bengkulu City Government with an average ratio of 15.29%, while the city government that is at a medium level of independence is the Palembang City Government with an average of 27.09% and the Bandar Lampung City Government at 31.33%. For the lowest financial dependence ratio of the regional government, the ratio is the Bandar Lampung City Government, which is 48.83%, meaning that the level of dependence of the Bandar Lampung City Government is in a medium position. While the highest level of dependence is the Bengkulu City Government, which is 75.71%. The limitations of this study are because the researcher only studied five city governments in the Southern Sumatra region. So that the results of this study are expected to provide insight into better regional financial management policies to support sustainable regional development.
Hak Cipta (c) 2025 Neri Susanti, Wagini, Zelinda Prasetya (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
The Effect of Leadership Style and Compensation on Employee Performance at The State-Owned Property Unit of Bengkulu University
The purpose of this study is to determine the effect of leadership style and compensation on employee performance at the State Property Unit of Bengkulu University. The sample in this study consisted of 37 employees. Data collection was conducted using questionnaires, and the analysis methods used were multiple linear regression, coefficient of determination, and hypothesis testing (T-test and F-test). The regression analysis results show Y = 47.874 + 0.136 X1 + 0.183 X2, which indicates a positive regression direction, meaning that there is a positive influence between X1 (leadership style) and X2 (compensation) on employee performance (Y). Leadership style has a significant effect on employee performance because the significance value of 0.037 is less than 0.05. Compensation has a significant effect on employee performance because the significance value of 0.019 is less than 0.05. Leadership style and compensation simultaneously have a significant effect on employee performance because the significance value of 0.049 is less than 0.05, with an R-square value of 0.162 or 16.2%, indicating that the variables of leadership style and compensation contribute 16.2% to the employee performance variable, while the remaining 83.8% is influenced by other variables not examined in this study. This study was only conducted at the BMN Unit of Bengkulu University, so the results cannot be generalized to other institutions. The variables studied were limited to leadership style and compensation, without considering other factors that might affect employee performance. The number of respondents was only 37, all of whom were from that unit. Data collection was conducted through a questionnaire, which is susceptible to perceptual bias. The analysis method used was limited to multiple linear regression, without considering mediation or moderation effects. This study contributes to expanding knowledge about the influence of leadership style and compensation on employee performance, particularly in government agencies such as the BMN Unit at Bengkulu University. The results can be used as input for leaders in improving employee performance through improvements in leadership style and compensation systems.
Hak Cipta (c) 2025 Dedy Setiawan, Ahmad Soleh, Ida Ayu Made Er Meytha Gayatri (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
The Influence of Marketing Mix on Used Car Purchasing Decision at Jaya Mobil Jakarta
This study aims to analyse the effect of marketing mix on used car purchasing decisions at Jaya Mobil Jakarta. The research method used is quantitative with a survey approach through questionnaires distributed to 115 respondents. The data analysis method in this study uses multiple linear regression, validity and reliability tests, hypothesis testing using the F test and t test, and the coefficient of determination. Testing the model as a whole resulted in an F-count of 613.582, far exceeding the F-table value of 2.45. This proves that simultaneously, all independent variables have a significant influence on purchasing decisions. Among all the variables studied, the promotion variable (X4) has the most dominant influence, indicated by the standardised beta coefficient of 0.473 and the highest t-count value of 6.881. Meanwhile, partial testing for the effect of product and place has no significant effect on purchasing decisions for used cars at Jaya Mobil Jakarta, but partial testing for price and promotion has a significant effect on purchasing decisions for used cars at Jaya Mobil Jakarta. The coefficient of determination (R²) analysis shows a very high value of 0.957 or 95.7%, indicating that the four independent variables have a very large contribution in influencing purchasing decisions. Only a small portion, namely 4.3%, is influenced by other variables not included in this study. This research is still limited to the four main elements of the marketing mix, namely: product, price, place (distribution), and promotion that influence purchasing decisions. The marketing mix through integrated elements of product, price, place, and promotion must be maintained and improved because together they have a huge influence on purchasing decisions. Companies need to consider these four factors in formulating marketing strategies to improve purchasing decisions and competitiveness in the market.
Hak Cipta (c) 2025 Rafi Alfiando Zaki, Ida Anggriani, Muhammad Rahman Febliansa (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
The Influence of Shopee E-Commerce and Purchasing Decisions on Consumptive Behavior Among Employees at Dehasen University Bengkulu
This study aims to identify the effect of Shopee e-commerce and purchasing decisions on consumptive behavior. The method used in this research is quantitative with multiple linear regression analysis. The sample size used was 99, obtained from Slovin's formula calculation, using purposive sampling technique. The results of this research indicate that the Shopee e-commerce system (X1) has a significant effect on consumer behavior (Y) as seen from the significance value of 0.012 < 0.05, and purchase decisions (X2) have a significant effect on consumer behavior (Y) as seen from the significance value of 0.001 < 0.05. Simultaneously, Shopee e-commerce (X1) and purchase decisions (X2) have a significant effect on consumer behavior (Y) as indicated by the significance value of 0.001 < 0.05 with an R2 value of 21.2%.
Hak Cipta (c) 2025 Yudi Irawan Abi, Dewi Aprianti, Lidya Gustina Putri (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
The Influence of Facebook Social Media on the Increase in Second-Hand Car Sales at The Bengkulu
The purpose of the study was to determine the effect of Facebook social media on increasing sales of used cars at the Bengkulu Mobilindo Showroom.The sample in this study was 46 customers who had purchased used cars at the Bengkulu Mobilindo Showroom. The data collection method used a questionnaire. The analysis method used was simple regression analysis, determination test and hypothesis test.The results showed a simple regression value of Y = 15.400 + 0.641X ¬ with a positive regression direction, meaning that if the use of Facebook social media increases, it will increase sales of used cars at the Bengkulu Mobilindo Showroom. Facebook social media has a significant effect on increasing sales of used cars at the Bengkulu Mobilindo Showroom, because the significant value of 0.000 is smaller than 0.05. This means that the more Facebook social media increases, the increase in sales of used cars will also increase. The coefficient of determination value of R square is 0.399. This means that the social media Facebook has an influence on increasing second-hand car sales by 39.9%, while the remainder (100-39.9% = 60.1%) is influenced by other causal factors that were not examined in this study.
Hak Cipta (c) 2025 Rahayu Ervina, Tito Irwanto, Iswidana Utama Putra (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
Measuring The Appeal Of Online Shopping: The Role Of App Ease Of Use And Consumer Trust On Repeat Purchase Decisions On The Shopee E-Commerce Platform
This study aims to measure the attractiveness of online shopping through an analysis of the influence of ease of use of applications and consumer trust on repeat purchase decisions on the Shopee e-commerce platform. The background of this study is based on the increasing number of online shopping transactions in Indonesia, especially through Shopee, which is one of the platforms with the largest number of users. This study uses a quantitative approach with an explanatory research method. Data were collected through an online questionnaire distributed to 120 active Shopee user respondents who had made repeat purchases. The data analysis technique used was multiple linear regression. The results of the study indicate that ease of use of the application and consumer trust have a positive and significant effect, both partially and simultaneously, on repurchase decisions. Ease of application navigation, transaction speed, and trust in the security and consumer protection system have proven to be important factors in forming user loyalty. These findings provide strategic implications for e-commerce managers to improve user experience and build a strong trust system to retain consumers in the long term.
Hak Cipta (c) 2025 Amril, Dina Hastalona, Aryani Sairun, Tri Anatasya (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
Development Of The AHP Method To Support Go Green Policy For EEST Sustainability
The escalating challenges of environmental degradation, climate change, and unsustainable resource consumption have prompted the need for integrated strategies to advance sustainable development. This study aims to develop a decision-making model based on the Analytic Hierarchy Process (AHP) to evaluate and prioritize Go Green policy alternatives across four critical sustainability dimensions: Environmental, Economic, Social, and Technological (EEST). The methodology employed structured pairwise comparisons with inputs from fifteen experts representing government, academia, non-governmental organizations, and the private sector. Findings reveal that the environmental dimension holds the highest priority weight (0.405), followed by economic (0.270), technological (0.190), and social (0.135) aspects. Among the policy alternatives assessed, Circular Economy and Waste Management ranked highest, reflecting its broad potential to enhance resource efficiency, reduce emissions, and foster community engagement. Despite the model's strengths, the study is limited by its reliance on a specific group of experts, which may restrict the generalizability of the results across broader stakeholder populations or geographic contexts. This research contributes to the fields of public policy, environmental management, sustainability assessment, and decision support systems by providing a structured, transparent, and participatory framework. The proposed AHP-based model offers a scalable approach for policymakers seeking to align environmental priorities with inclusive and innovation-driven development goals.
Hak Cipta (c) 2025 Dewi Wahyuni, Nurmala Sridewi, Nofelis Sozamaeri Zalukhu (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
Building a Sustainable Digital Transformation Foundation Through AI Innovation Adoption: an Information Technology Perspective
This study aims to propose and empirically test an integrated model that clarifies how strategic AI adoption, organizational readiness, knowledge sharing, and supportive policy frameworks collectively build a foundation for innovative performance and sustainable growth within Indonesian technology startups and SMEs. This research utilizes a quantitative, explanatory survey design, theoretically grounded in the Technology-Organization-Environment (TOE) and Resource-Based View (RBV) frameworks. Data was gathered via an online questionnaire with a 7-point Likert scale from 268 technology and digital leaders in Indonesia, selected through purposive sampling. The data was analyzed using Structural Equation Modeling (SEM) with IBM SPSS Statistics 29 and IBM AMOS 29. The methodology included Confirmatory Factor Analysis (CFA), assessment of Cronbach's Alpha, Composite Reliability (CR), Average Variance Extracted (AVE), Fornell-Larcker criterion, HTMT ratio, bootstrapping for mediation, and variable interaction analysis for moderation. The results confirm all hypotheses. AI adoption positively impacts both innovative performance and organizational readiness. Organizational readiness is a key driver of innovative performance, and this relationship is partially mediated by knowledge sharing. Innovative performance was found to be a strong predictor of sustainable growth. Finally, a supportive policy framework was confirmed to positively moderate the relationship between AI adoption and innovative performance. A primary limitation is the study's cross-sectional design, capturing a single point in time, and its focus on the Indonesian context, which may limit the generalizability of the findings. This study is useful for the disciplines of Information Technology Management, Strategic Management, Innovation Studies, Technology Policy, and Sustainability research, offering a practical framework for business leaders, IT managers, and policymakers.
Hak Cipta (c) 2025 Ellanda Purwawijaya, M. Rhifky Wayahdi, Fitra Habibi (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
The Future Of Smart City And The Role Of AI In Creating Innovative And Sustainable Business Ecosystems
This article analyzes the strategic role of Artificial Intelligence (AI) beyond operational efficiency, focusing on its function as an architect and catalyst in shaping an innovative and sustainable business ecosystem in the context of smart cities. Using a mixed-methods approach in North Sumatra Province integrating a quantitative survey (N=228) and an in-depth qualitative case study, this study found a significant gap between the high perceived importance of AI (89%) and the low actual implementation rate (34%). Empirically, the findings suggest AI serves as an ecosystem catalyst by creating a new mobility data market in Medan, a feedback mechanism for sustainable tourism in Lake Toba, and stimulating Agri-Tech industry symbiosis in Sei Mangkei SEZ. This study contributes by providing practical evidence on the architectural role of AI and offers strategic implications for stakeholders in building AI-based economic ecosystems.
Hak Cipta (c) 2025 M. Rhifky Wayahdi, Fahmi Ruziq, Fatahul Ahmad Dzikri (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
Knowledge Based Expert System Approach To Optimize Innovation And Technology In Industry 5.0
The rapid development towards the Industry 5.0 era demands closer integration between artificial intelligence and human expertise in driving innovation and sustainable technology implementation. This research aims to examine and develop a knowledge-based expert system approach as a strategic solution in optimizing the process of innovation and technological transformation in the industrial sector. By adopting a qualitative research method and a system design approach, this study designed a prototype expert system capable of representing expert knowledge in the field of industrial technology and digital innovation, and integrating it in complex decision-making processes. Data was obtained through a literature study, in-depth interviews with industry experts, and analysis of system requirements in the smart manufacturing sector. The results show that knowledge-based expert systems can improve decision-making efficiency, accelerate the adoption of new technologies, and support the human-machine collaboration that is a key characteristic of Industry 5.0. In addition, the system proved to be adaptive to the fast-changing dynamics of the industry and was able to provide precise recommendations based on historical cases and knowledge. These findings make a significant contribution to the development of expert system models in the context of industrial digital transformation, while opening up opportunities for wider application in various sectors. Thus, the knowledge-based expert system approach is a relevant solution to answer the challenges of sustainable innovation and increasing industrial competitiveness in the Industry 5.0 era.
Hak Cipta (c) 2025 Subhan Hafiz Nanda Ginting, Dinur Syahputra, M. Aldo (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
Legal Protection For Companies In A Business Law Perspective
Business law is a set of rules that govern business activities to run in accordance with the rules of the law. These rules are written officially, just like the laws in other fields. In recent years, the development of the company has continued to increase quite significantly, so that in the future many things must continue to get legal protection, not only consumers must get legal protection, but also companies must get the same rights as consumers to continue to ensure the sustainability of the business world. In Indonesia itself, there are quite a lot of companies so that in the future it is necessary to get recognition so that they have a sense of security, comfort to be willing to open new companies in order to create new jobs and improve the nation's economy. The purpose of this study is to understand how legal protection for companies in the perspective of business law, to see how the company and employees stand in the perspective of business law. The data collection technique in the research is through a literacy approach, which is looking at and learning from the perspective of business law and a conceptual approach. The results of this study are that the position of the company and employees is equally important to get legal protection, even though so far the priority in protection is employees/workers, so in this study it shows that employees and companies are equally important to get legal protection because in front of the law between employees and companies also have the same position before the law, namely getting complete and concrete legal protection. The forms of legal protection provided are preventive legal protection and repressive legal protection.
Hak Cipta (c) 2025 Junaidi Lubis, Leni Indrayani, Haris Dermawan (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
Utilization Of Affordable Digital Media in Early Childhood Learning: A Creative Economy Study in Nonformal Institutions
This study aims to explore the utilization of affordable digital media in the early childhood learning process within nonformal educational institutions, as well as how this approach correlates with the development of the creative economy. In the digital era and with limited resources, many nonformal institutions have begun innovating by using simple devices such as smartphones, mini projectors, and free educational applications as alternative learning media. The research method employed is qualitative, using a case study approach on three nonformal institutions located in urban and semi-urban areas. Data were collected through observations, in-depth interviews with educators, and documentation of learning activities. The results indicate that affordable digital media can increase children’s engagement, enrich teaching methods, and encourage parental participation through creative economy-based educational content such as local animated videos, self-directed educational games, and collaborative digital works. Additionally, institutions that effectively utilize digital media are able to open new economic opportunities, such as digital training for teachers and the production of local educational content. The conclusion of this study shows that affordable digital media is not only pedagogically effective but also has the potential to become a strategy for strengthening the creative economy in the nonformal early childhood education sector.
Hak Cipta (c) 2025 Putri Sari Ulfa Sembiring, Nurwahyuni (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
Integrating Artificial Intelligence (AI) Into Instructional Strategies To Enhance Critical Thinking in Primary Schools
This study investigates how Artificial Intelligence (AI) can be effectively integrated into instructional strategies to enhance critical thinking skills among primary school students. The study adopts a literature review method by examining peer-reviewed journal articles, academic reports, and research findings published between 2020 and 2025. All sources were selected based on relevance, credibility, and accessibility from open academic databases. The findings indicate that AI can be integrated into primary education through intelligent tutoring systems (ITS), educational chatbots, adaptive learning platforms, and data-driven learning analytics. These tools enable personalized, reflective, and engaging learning environments. AI has shown positive effects in promoting students’ analytical, evaluative, and logical reasoning abilities, which are key dimensions of critical thinking. As a conceptual literature-based study, this research does not include empirical field data or classroom experiments. The scope is limited to the availability of open-access academic sources, excluding paid or restricted publications. This study offers a theoretical foundation and practical direction for educators, policymakers, and technology developers in utilizing AI responsibly and effectively within elementary education. The research emphasizes the importance of teacher readiness, ethical guidelines, and infrastructural support to ensure meaningful integration of AI in enhancing students’ cognitive development, particularly critical thinking.
Hak Cipta (c) 2025 Nur Wahyuni, Trisno Benaya Gea, Nur Aini (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
Sales Volume Improvement Strategy In Terms Of Product Variation and Packaging at PT. Kemas Nugerah Swastika Medan
This study aims to determine how much influence the Product Variation and Packaging on Sales Volume at PT Kemas Anugerah Swastika Medan. The research was conducted using quantitative method by distributing questionnaires to 162 respondents who are customers of PT Kemas Anugerah Swastika selected through Simple Random Sampling method from 273 customers during the year 2023, with a margin of error of 5%. This analysis includes validity and reliability tests, classical assumption tests, multiple linear regression analysis, hypothesis testing through t and F tests, and test the coefficient of determination (R2). From the analysis obtained a regression analysis of Sales Volume = 1.208 + 0.181 Product Variation + 0.624 Packaging + e. The t test results show Product Variation variable partially has a positive and significant on Sales Volume at PT Kemas Anugerah Swastika where tcount is 3,311 > ttable is 1,975 and the Packaging variables partially has a positive and significant on Sales Volume at PT Kemas Anugerah Swastika where tcount is 7,934 > ttable 1,975. The F test results show that Fcount 115,390 > Ftable 3,03 which means that the independent variable Product Variation and Packaging, simultaneously affects the dependent variable, Sales Volume at PT Kemas Anugerah Swastika. The results of the coefficient of determination (R2) indicate that 64% of Sales Volume variables at PT Kemas Anugerah Swastika are influenced by Product Variation and Packaging variables, while the remaining 36% is explained by the influence of other factors or variables outside the model such as Service Quality, Price, Social Media and Product Design which are not discussed in this research.
Hak Cipta (c) 2025 Bambang Sutejo, Muhammad Ras Muis, Muammar Rinaldi, Dina Olivia Putri (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
The Role Of Taxes In Family Firm Investment And Financing Decisions
This study aims to analyze the role of tax in influencing investment and financing decisions in family businesses. Tax is an important component in the business environment that is often the main consideration in making strategic decisions. Using a qualitative approach with a case study method, this study involved five family businesses engaged in the food, distribution, and service sectors in Medan City. Data were collected through in-depth interviews and internal company documentation, then analyzed thematically. The results of the study indicate that most family businesses prefer internal funding to external funding due to tax considerations and the desire to maintain control of the business. However, low tax literacy results in minimal effective fiscal planning, so that investment decisions are often fiscal and suboptimal. In addition, the level of utilization of tax incentives is still low due to procedures that are considered complex and lack of socialization from the tax authorities. This study recommends the need to improve tax education, support fiscal consultation, and simplify access to tax incentives so that family businesses can be more adaptive in developing investment and financing strategies sustainably.
Hak Cipta (c) 2025 Mawarli Lubis, Irma Herliza Rizki, Muammar Rinaldi, Mela Novita Rizki (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0
NUTRITIONAL STATUS INDICATOR OF TODDLERS USING A MACHINE LEARNING APPROACH
Using a machine learning-based methodology that incorporates visualization, classification, and clustering techniques, this study attempts to identify and categorize the nutritional status of toddlers. The dataset, which was obtained from Kaggle, has characteristics like height (in centimeters), gender, and age (in months). The RapidMiner software was used to do the analysis. The K-Means approach was utilized for clustering, while the K-Nearest Neighbor (K-NN) algorithm was utilized for classification. K-NN classification performed well in identifying all nutritional status groups, with an accuracy of 99.93%. From the visualization results using scatter plots and bar charts, it is known that toddlers with the nutritional status of "severely stunted" and "stunted" are mostly experienced by toddlers aged 24 months and above and toddlers with a height of less than 90 cm at the age of over 12 months are most often included in the "stunted" and "severely stunted" categories. K-Means effectively divided the data into four clusters, each of which represented a distinct growth trend according to height and age. The study does not account for other possible affecting factors like weight or socioeconomic position, and is restricted to a dataset with basic attributes (age, gender, and height). By providing a machine learning model for early stunting detection that can be used in healthcare systems and mobile health applications, this study advances the field of health informatics.
Hak Cipta (c) 2025 Nurjanni Hidayati Tanjung, Diva Nabilla, Intan Thiyas Intarita, Febria Sri Handayani (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Leveraging AI In Social Media Marketing For Tourism Business: Shaping Consumer Perception And Purchase Intention
Artificial Intelligence (AI) offers numerous benefits across various sectors including business. Small and medium-sized enterprises (SMEs) can leverage Generative AI, which is mostly free, to optimize marketing campaigns and boost sales. Kawan Cerita Outdoor, an SME specializing in hiking tours and equipment rental, has implemented AI for its content planning and design on social media Instagram. This study investigates the impact of AI-driven marketing, focusing on content creation, on consumers’ perception of service quality and its subsequent influence on purchase intention. A quantitative approach was employed, gathering data from 170 respondents drawn from Kawan Cerita Outdoor’s Instagram audience via an online questionnaire. The data were analyzed using Structural Equation Modeling with Partial Least Squares (SEM-PLS) version 3.0. The findings indicate that AI-driven marketing has a significant impact on perceived service quality, which fully mediates the relationship between AI-driven marketing and purchase intention. However, AI-driven marketing does not directly affect purchase intention. There are some limitations of the study such as the limited range of variables investigated and the potential for sampling bias associated with the online survey approach. Despite these limitations, this research provides valuable strategies for SMEs to effectively integrate basic AI into their social media marketing, enhancing consumer perception and ultimately increasing purchase intention.
Hak Cipta (c) 2025 Mirza Putri Andita, Azalia Mawarindani Indra, Maria Veronica, M. Firdaus HT, Wella Anggreni (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Digital Transformation of Human Resource Management at Pempek Saga Sudi Mampir: A Case Study on Optimizing HR Management Through the Implementation of a Comprehensive HRIS
This study aims to analyze the implementation of the "TataKarsa" digital initiative for human resource management at Pempek Saga Sudi Mampir and evaluate its impact on operational efficiency. Employing a qualitative case study approach, data were collected through in-depth interviews with the owner/manager and employees, complemented by direct observation of HR processes within the culinary business. The implementation of "TataKarsa" significantly improved the efficiency of HR administrative tasks, enhanced employee data accuracy, and streamlined daily operations, contributing to more organized human resource management. This study is limited to a single case study of a Micro, Small, and Medium Enterprise (MSME), primarily relying on qualitative data, which may limit generalizability. Nevertheless, it offers valuable insights for other MSMEs, particularly within the culinary sector, seeking to implement digital transformation in their human resource management practices, thereby contributing to the fields of Human Resource Management and Digital Transformation in small businesses.
Hak Cipta (c) 2025 Mutaira Salsabila, Emirul Hikmawan Saputra, Meidyan Permata Putri, Yanti Efendy (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
THE INFLUENCE OF MARKETING MIX ON USED CAR PURCHASING DECISION AT JAYA MOBIL JAKARTA
Purpose: This study aims to analyse the effect of marketing mix on used car purchasing decisions at Jaya Mobil Jakarta. Research Methodology: The research method used is quantitative with a survey approach through questionnaires distributed to 115 respondents. The data analysis method in this study uses multiple linear regression, validity and reliability tests, hypothesis testing using the F test and t test, and the coefficient of determination. Results: Testing the model as a whole resulted in an F-count of 613.582, far exceeding the F-table value of 2.45. This proves that simultaneously, all independent variables have a significant influence on purchasing decisions. Among all the variables studied, the promotion variable (X4) has the most dominant influence, indicated by the standardised beta coefficient of 0.473 and the highest t-count value of 6.881. Meanwhile, partial testing for the effect of product and place has no significant effect on purchasing decisions for used cars at Jaya Mobil Jakarta, but partial testing for price and promotion has a significant effect on purchasing decisions for used cars at Jaya Mobil Jakarta. The coefficient of determination (R²) analysis shows a very high value of 0.957 or 95.7%, indicating that the four independent variables have a very large contribution in influencing purchasing decisions. Only a small portion, namely 4.3%, is influenced by other variables not included in this study. Limitations: This research is still limited to the four main elements of the marketing mix, namely: product, price, place (distribution), and promotion that influence purchasing decisions. Contribution: The marketing mix through integrated elements of product, price, place, and promotion must be maintained and improved because together they have a huge influence on purchasing decisions. Companies need to consider these four factors in formulating marketing strategies to improve purchasing decisions and competitiveness in the market.
Marketing mix, Purchasing Decision, Jaya Mobil Jakarta.
Hak Cipta (c) 2025 Muhammad Rahman Febliansa (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
THE EFFECT OF LEADERSHIP STYLE AND COMPENSATION ON EMPLOYEE PERFORMANCE AT THE STATE-OWNED PROPERTY UNIT OF BENGKULU UNIVERSITY
Purpose: The purpose of this study is to determine the effect of leadership style and compensation on employee performance at the State Property Unit of Bengkulu University. Research Methodology: The sample in this study consisted of 37 employees. Data collection was conducted using questionnaires, and the analysis methods used were multiple linear regression, coefficient of determination, and hypothesis testing (T-test and F-test). Results: The regression analysis results show Y = 47.874 + 0.136 X1 + 0.183 X2, which indicates a positive regression direction, meaning that there is a positive influence between X1 (leadership style) and X2 (compensation) on employee performance (Y). Leadership style has a significant effect on employee performance because the significance value of 0.037 is less than 0.05. Compensation has a significant effect on employee performance because the significance value of 0.019 is less than 0.05. Leadership style and compensation simultaneously have a significant effect on employee performance because the significance value of 0.049 is less than 0.05, with an R-square value of 0.162 or 16.2%, indicating that the variables of leadership style and compensation contribute 16.2% to the employee performance variable, while the remaining 83.8% is influenced by other variables not examined in this study. Limitations: This study was only conducted at the BMN Unit of Bengkulu University, so the results cannot be generalized to other institutions. The variables studied were limited to leadership style and compensation, without considering other factors that might affect employee performance. The number of respondents was only 37, all of whom were from that unit. Data collection was conducted through a questionnaire, which is susceptible to perceptual bias. The analysis method used was limited to multiple linear regression, without considering mediation or moderation effects. Contribution: This study contributes to expanding knowledge about the influence of leadership style and compensation on employee performance, particularly in government agencies such as the BMN Unit at Bengkulu University. The results can be used as input for leaders in improving employee performance through improvements in leadership style and compensation systems.
Hak Cipta (c) 2025 Ida Ayu Made Er Meytha Gayatri, Dedy Setiawan, Ahmad Soleh (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
THE INFLUENCE OF SHOPEE E-COMMERCE AND PURCHASING DECISIONS ON CONSUMPTIVE BEHAVIOR AMONG EMPLOYEES AT DEHASEN UNIVERSITY BENGKULU
Hak Cipta (c) 2025 yudi abi, dewi aprianti, Lidya Gustina Putri (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
RTI THE INFLUENCE OF FACEBOOK SOCIAL MEDIA ON THE INCREASE IN SECOND-HAND CAR SALES AT THE BENGKULU
Hak Cipta (c) 2025 Tito Irwanto, Rahayu Ervina, Iswidana Utama Putra (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
INTEGRATION OF INTERGENERATIONAL MARKETING AND GLOBAL BRANDS TO MARKETING PERFORMANCE THROUGH THE BEHAVIOR OF MILLENNIALS AND GENERATION Z
The development of smartwatches has gone through a significant evolution, from a simple device with limited functions to a multifunctional device that is connected to the internet and offers a wide range of advanced features. Initially, smartwatches focused on basic functions such as timers and calculators, then evolved into devices that connected to mobile phones, monitored health, and even integrated with artificial intelligence. Garmin is a global company specializing in navigation and wearable technologies, including smartwatches and GPS devices. They are known for their high-quality and innovative products used in various fields such as aviation, marine, automotive, outdoor activities, and fitness. The study aims to analyze the influence of intergenerational marketing and global brands on marketing performance through the behavior of the Millennial and Z Generations. The researcher used the purposive sampling method. Purposive sampling is a method of sampling from members of the population using certain criteria. The data analysis method used in this study is the Structural Equation Model (SEM) with SmartPLS. The results of the study show that intergenerational marketing and global brands affect marketing performance through the behavior of Garmin watch users in Jember Regency.
Intergenerational Marketing, Global Brand, Marketing Performance, Behavior
Hak Cipta (c) 2025 ayu nareswari (Author); Nur Latifa Isnaini Putri, Ikhwanul Hakim (Translator) https://creativecommons.org/licenses/by-nc-sa/4.0
Application Of K-Means For Prioritizing Social Assistance Recipients Based On Dtks Data In Banyuasin Regency
This study aims to improve efficiency and accuracy in the distribution of social assistance in Banyuasin Regency by grouping potential aid recipients based on socio-economic characteristics using the K-Means algorithm. The data used comes from the Integrated Social Welfare Data (DTKS), with cleansing and transformation processes carried out using RapidMiner, and the clustering process continued through an application specifically designed for the implementation of the K-Means algorithm. The study results indicate that this algorithm is capable of forming four clusters of priority aid recipients, namely first, second, third, and fourth priority, thereby reducing mis-targeting compared to the previous manual method. This study is still limited to the use of current-year DTKS data and has not yet included direct field validation. This study contributes to the development of decision support systems in the field of social welfare, particularly in recipient segmentation.
Hak Cipta (c) 2025 Muhammad Wildan Solihan (Penulis); Dien Novita (Penerjemah) https://creativecommons.org/licenses/by-nc-sa/4.0
NAT Brand Awareness as a Mediator Between Viral Marketing and Customer Satisfaction in Skincare Products Among Gen Z
Purpose: This study aims to examine the role of brand awareness in mediating the influence of viral marketing on customer satisfaction for skincare products among Generation Z in Jember. In today's digital era, viral marketing strategies are widely adopted, but their long term effectiveness depends on consumers' trust and awareness toward the brand. Research Methodology: This research employed a quantitative approach using a survey method. Data were collected through an online questionnaire from 100 Gen Z respondents selected using purposive sampling. The criteria included being skincare users, active on social media, and having been exposed to viral skincare content. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS SEM) with SmartPLS software. Results: The results reveal that viral marketing has a significant positive effect on both brand awareness and customer satisfaction. Furthermore, brand awareness significantly affects customer satisfaction and mediates the relationship between viral marketing and satisfaction. Limitations: This study is limited to a specific geographic area (Jember) and only focuses on Gen Z. The use of cross sectional data limits the ability to observe changes over time. Contribution: The study contributes to marketing communication literature by providing insights into how brand awareness functions as a trust signal that connects viral exposure to lasting satisfaction. These findings are relevant for marketers in the beauty and skincare industry, especially those targeting digital native consumers.
Hak Cipta (c) 2025 NUR PUTRI (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Analisis Perbandingan Berbasis Task-Oriented Evaluation Pada ChatGPT-4 dan Gemini (2.5 Flash)
Penelitian ini bertujuan untuk membandingkan performa dua model kecerdasan buatan generatif terkemuka, ChatGPT-4 dan Gemini 2.5 Flash, melalui pendekatan Task-Oriented Evaluation. Evaluasi dilakukan berdasarkan respons keduanya terhadap tiga skenario tugas umum, yaitu: penyelesaian masalah teknis, penjelasan konsep ekonomi (inflasi), dan penyusunan kerangka esai. Data dikumpulkan dari lebih dari 100 partisipan yang memberikan penilaian terhadap kejelasan, kelengkapan, serta kemudahan pemahaman tiap respons. Hasil analisis menunjukkan bahwa kedua model AI memiliki keunggulan masing-masing: ChatGPT-4 lebih unggul dalam penyampaian yang terstruktur dan ringkas, sementara Gemini 2.5 Flash menonjol dalam penyampaian yang naratif dan mendalam. Secara keseluruhan, mayoritas responden menilai kedua AI sama baiknya dalam menyelesaikan tugas, dengan preferensi terhadap model tertentu tergantung pada konteks dan gaya penyampaian yang diharapkan. Studi ini menegaskan pentingnya evaluasi berbasis tugas dalam menilai efektivitas AI generatif dalam konteks penggunaan nyata.
ChatGPT-4, Gemini 2.5 Flash, Evaluasi Berbasis Tugas, Kecerdasan Buatan Generatif, Perbandingan AI, Pemrosesan Bahasa Alami
Hak Cipta (c) 2025 Axel Theo Winata Ursia, Eric Jonathan, Anak Agung Ugrasena (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
EXAMINING THE ROLE OF RISK MANAGEMENT IN LINKING SUSTAINABILITY TO FINANCIAL DISTRESS IN BANKS
This study investigates the impact of sustainability and risk management on financial distress among banks listed by the Financial Services Authority (OJK) during the 2020–2023 period. Sustainability is represented by Green Loans, while risk management is measured using the Capital Adequacy Ratio (CAR). A quantitative explanatory approach with Structural Equation Modeling (SEM) is used to examine both direct and indirect relationships between variables. The findings reveal that Green Loans do not have a significant direct effect on financial distress but significantly influence risk management. Additionally, risk management does not directly affect financial distress but serves as an intervening factor that enhances the influence of sustainability on financial distress. The practical implication highlights the need to strengthen the integration of sustainability within risk management frameworks to support financial resilience in the banking sector. This study offers both theoretical and practical insights for enhancing banking risk management and informs policy recommendations for regulators, financial institutions, and future researchers.
Hak Cipta (c) 2025 Ismiantika (Penulis) https://creativecommons.org/licenses/by-nc-sa/4.0