Yayasan Riset dan Pengembangan Intelektual (YRPI) Journal
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Advancements In Blockchain Cryptography: Self-Signed Key Applications For Digital Record Protection
Get PDFThe significant deployment of Electronic Health Records (EHRs) has introduced serious issues with data security and confidentiality. The proposed study addresses such issues by investigating innovation in blockchain cryptography, with a special focus on the application of self-signed keys for secure digital record management. The research combines the use of Elliptic Curve Cryptography (ECC) with a blockchain framework to suggest a decentralized and efficient solution for the management and authentication of digital records. The experimental evaluation of the proposed solution indicates the efficiency of the system with 1626.03 seconds of execution time, 0.0018 tps of throughput, and 3.1790 seconds of the average latency for 1000 transactions. Furthermore, the proposed solution reduces the encryption time to 3650 ms and the decryption time to 3968 ms as compared to the traditional implementation of the blockchain, with ensured data integrity. The outcome attests to the practicability of the employment of the application of the self-signed keys for the improvement of security, confidentiality, and integrity of data for healthcare systems. Furthermore, the proposed solution strengthens decentralized systems with the introduction of the optimized mechanism of cryptography that maintains efficiency with the guarantee of security, introducing a practical mechanism for the protection of confidential medical data for real-world systems
Predictive Maintenance of Old Grinding Machines Using Machine Learning Techniques
Get PDFThis study aims to develop a predictive maintenance system for an aging vertical grinding machine, operational since 1978, by integrating machine learning techniques, vibration analysis, and fuzzy logic. The research addresses the challenges of increased wear and unexpected failures in older machinery, which can lead to costly downtime and reduced operational efficiency. Vibration and temperature data were collected over 12 days using an MPU-9250 accelerometer, with conditions categorized as good, fair, and faulty. Various machine learning models, including logistic regression, k-nearest neighbors, support vector machines, decision trees, random forest, and Naive Bayes, were trained to classify bearing states. The random forest model achieved the highest accuracy of 94.59%, demonstrating its effectiveness in predicting machine failures. The results highlight the potential of combining multi-dimensional sensor data with advanced analytics to enable early fault detection, minimize downtime, and improve operational efficiency. This approach provides a cost-effective solution for maintaining aging machinery and contributes to both theoretical advancements in machine learning applications and practical improvements in industrial maintenance practices. The study’s findings offer scalable insights for industries reliant on legacy equipment, promoting sustainable manufacturing through optimized resource use and enhanced reliability
SiAkif-Bots: Gemini AI for Academic Service Chatbots
Get PDFAcademic services are an important element in education, as they provide students with access to information and support. At Telkom University Purwokerto, there are obstacles to the efficiency of academic services, especially due to information delays and the high burden of onsite services. To overcome this challenge, a Telegram-based chatbot, "SiAkif," was developed using the Large Language Model (LLM) model from Gemini AI. Gemini AI's selection is based on its ability to understand complex conversational contexts and generate accurate and relevant responses. This research aims to implement the Telegram chatbot that utilizes Gemini AI for Indonesian-language academic services. The implementation showed satisfactory results, with the chatbot "SiAkif" recording an average BLEU score of 0.88, which reflects good performance and response. This chatbot effectively reduces information delays, expands service accessibility, and improves student experience in interacting with institutions. Through "SiAkif," the institution is expected to strengthen the interaction between students and academic services, making it a potential solution for digital transformation in education
Analytical Hierarchy Process (AHP) : A Strategy to develop Disaster Resilient Tourism Priority in Indonesia
No full textMajene Regency in Sulawesi Barat, Indonesia, ranks as one of the regions most susceptible to natural disasters, with its tourism sector highly exposed to these risks. Given that nearly all tourism destinations in the region lie within hazard-prone zones, the economic vulnerability of this sector is critical. This research aims to formulate a disaster-resilient tourism strategy for Majene by employing the Analytical Hierarchy Process (AHP), a decision-making framework that enables structured prioritization based on stakeholder input. The study involved twelve experts from government, academia, the private sector, and the local community who conducted pairwise comparisons of five strategic categories derived from the World Bank’s disaster-resilient tourism framework: understanding risk, planning and prioritization, mitigation and preparedness, response and recovery, and long-term resilience actions. The results revealed that long-term resilience actions (22.7%), understanding risk (22.3%), and mitigation and preparedness (21.4%) were the top priorities. Key programs within these strategies include integrating tourism into national risk assessments, embedding tourism into disaster management planning, and establishing early warning systems. These findings offer actionable insights for local governments and tourism planners, highlighting strategic priorities that can guide policy development and foster sustainable, disaster-resilient tourism in vulnerable areas like Majene
Sanur as a Motivational Stage: Exploring the Dynamics of Freelancers in the Gig Economy of the Tourism Sector
Get PDFIn an environment where many workers operate as freelancers or independent contractors, work motivation becomes the main driver for maintaining service quality and business sustainability. Motivation also plays an important role in promoting innovation and renewal in the tourism industry, as motivated workers tend to look for ways to improve the quality of their services. This research aims to determine the main motivational factors that influence freelancers in the tourism gig economy and the dynamics of the gig economy that influence the motivation and work experience of freelancers in Sanur. The Sanur Tourism Area, which is located on the southeast coast of Bali Island, which is one of the most sought-after tourist destinations in Indonesia, is the place used in this research. The researcher used a qualitative method. Data collection in this research was through observation, documentation, and interviews with informants who had been determined using purposive sampling techniques. The conclusion obtained is that the main motivating factor for freelancers in the Sanur tourism sector is income. Income becomes a central element that motivates them to engage in the dynamics of the gig economy, influencing their decisions to choose certain projects and determining their level of involvement in freelance work
Driving the Digital Economy: The Role of E-Commerce in Marketing Transformation on TikTok in Indonesia
Get PDFThis research aims to analyze the role of e-commerce in the digital transformation of marketing with a focus on the TikTok platform in Indonesia. The research uses a quantitative approach with explanatory research methods and involves 100 respondents selected through purposive sampling techniques. The variables studied include customer interaction, personalization, customer experience, and customer behavior. Data were collected through questionnaires and analyzed using the SEM-PLS method on SmartPLS4. The research results show that customer interaction and personalization have a positive and significant impact on customer experience. Additionally, customer experience has a positive and significant impact on customer behavior. Customer interaction also has a positive and significant impact on customer behavior. However, personalization has a positive but not significant impact on customer behavior. This research provides insights into the importance of customer experience in mediating the influence of customer interaction and personalization on customer behavior, as well as serving as a basis for developing more effective digital marketing strategies
Strategy of Improvement Domestic Products in Government Goods/Services Procurement in Bogor Regency
Get PDFThis study explores strategic approaches to enhancing the utilization of domestic products (Produk Dalam Negeri, PDN) in public procurement processes within Bogor Regency, Indonesia. Anchored in the national policy framework promoting local industrial development and economic resilience, the research investigates institutional, regulatory, and procedural barriers that impede optimal implementation of PDN mandates at the regional level. Employing a qualitative descriptive methodology, the study draws on interviews with government procurement officials and local vendors, as well as an analysis of procurement plans, budget realization data, and policy documents. Findings reveal that the underperformance in PDN absorption is primarily attributed to the absence of localized regulatory instruments, inadequate integration of PDN priorities in regional planning and performance systems, limited institutional capacity, and fragmented coordination among key stakeholders. Furthermore, systemic weaknesses in procurement planning and vendor engagement hinder compliance with national targets, resulting in substantial gaps between planned and realized domestic product spending. To address these issues, the study offers a set of comprehensive recommendations. Practically, it advocates for the formulation of local regulations and technical guidelines, capacity building for procurement actors, and the development of digital procurement platforms prioritizing domestic suppliers. From a policy perspective, it recommends the institutionalization of performance-based monitoring and evaluation systems, inter-agency coordination mechanisms, and incentive structures. Theoretically, the research contributes to the discourse on sustainable procurement by proposing a framework linking institutional readiness, procurement processes, and local economic impact. The study concludes that with targeted regulatory reforms, institutional strengthening, and strategic alignment between national mandates and local practices, Bogor Regency can significantly improve its PDN realization, thereby reinforcing local industry participation in public sector supply chains and advancing sustainable regional development
Strategic Accountability and Economic Optimization of Samisade Village Fund Program in Bogor Regency
Get PDFThis study examines strategies to enhance accountability in the management of the One Billion One Village (Samisade) Program in Bogor Regency, Indonesia. The study is motivated by decentralization policies and the local government's efforts to accelerate rural development through Samisade (village infrastructure financial assistance). This research explores institutional and technical challenges that hinder the achievement of accountability in the implementation of the Samisade Program. This study adopts a descriptive qualitative approach through in-depth interviews and document analysis involving key stakeholders, such as village officials, the Department of Community Empowerment (DPMD), the Inspectorate, and the community. The findings indicate that low accountability is primarily caused by the uneven distribution of technological infrastructure among villages, limited availability of experts, and suboptimal human resource capacity in monitoring and evaluation. Furthermore, instances of misconduct and the involvement of village officials in legal cases were found, which further undermine the program’s credibility. To address these issues, the study recommends strengthening human resource capacity in supervision, ensuring equal distribution of supporting technological infrastructure, and providing technical assistance through expert assignments in the villages. From a policy perspective, this study emphasizes the importance of responsive and participatory multi-layered supervision. Theoretically, the study contributes to strengthening sustainable village governance by linking institutional readiness, program implementation effectiveness, and public accountability. It concludes that with appropriate interventions in capacity, infrastructure, and supervision, the Samisade Program can become a credible and impactful tool for rural development
Economic and Social Drivers of Imported Halal Skincare Purchases Among Urban Generation Z Consumers
Get PDFThe purpose of this study is to examine the influence of brand image, price, brand trust, attitude, and religiosity on the purchase decision of imported halal skincare products. This research employs descriptive analysis and Structural Equation Modeling (SEM). Data were collected through questionnaires filled out by Generation Z consumers of imported halal skincare products in Pekanbaru city, with a sample size of 96 respondents determined using the Lemeshow formula. The results show that brand image has a positive and significant effect on behavioral intention. Price has a positive but not significant effect on behavioral intention. Brand trust has a positive and significant effect on behavioral intention. Attitude and religiosity have no significant effect on behavioral intention. Behavioral intention has a positive and significant effect on use behavior
Increasing MSME Productivity Towards a Green Economy and Sustainable Growth
Get PDFThis study aims to identify obstacles and solutions to increase the productivity of micro, small, and medium-sized enterprises (MSMEs) and to explore factors that contribute to sustainable businesses in the transition to a green economy in the German Beach Area of Banjar Segara Kuta, Bali. A qualitative method was used for data collection. Data were collected through interviews with key, expert, and supporting informants. Data analysis techniques use triangulation. The results revealed that to increase productivity and business sustainability towards a green economy, related parties must consider internal factors such as environmental awareness and collaboration with stakeholders, as well as provide coaching and education to improve the ability of MSME actors. This includes education related to the green economy as a form of MSME business sustainability efforts in the German Beach Area of Bali's Kuta district