Publication Search

This study aims to develop an Indonesian traffic sign detection system using a transfer learning approach to improve road safety and traffic efficiency. The dataset was obtained from Kaggle and consists of 2,100 images across 21 traffic sign classes. The research stages include data collection, preprocessing to reduce noise and normalize image brightness, object detection using YOLOv5, and classification based on transfer learning with ResNet, VGG-16, and MobileNet architectures. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. Experimental results indicate that the YOLOv5 model is capable of detecting traffic sign objects; however, the classification performance remains relatively low, with a mean Average Precision (mAP) value of 0.17. These findings suggest that further optimization is required in data preprocessing, dataset quality, and model parameter tuning to achieve better performance. This study demonstrates that transfer learning has significant potential for developing computer vision-based traffic sign detection systems, although further improvements are necessary to ensure robustness under real-world Indonesian traffic conditions.

Human resource quality serves as a crucial pillar for national development, as it significantly influences a country’s progress and competitiveness. Therefore, enhancing human resource capacity has become a strategic priority, particularly at the regional level where local governments play a vital role. The Government of Bojonegoro Regency has introduced several initiatives to support this objective, including the Ten Scholars per Village Scholarship Program, the Scientist Scholarship, and Final Project Assistance. Despite these efforts, several implementation challenges remain, such as cases of manipulated eligibility requirements among applicants, the absence of a digitized system for registration and document submission, and limited communication channels between program administrators and scholarship recipients. This research seeks to examine, explain, and evaluate the role of local government, especially the Education Office, in executing scholarship programs based on the theoretical framework of government roles as regulator, dynamizer, and facilitator. The study employs a descriptive qualitative method, utilizing observation, interviews, and documentation for data collection, followed by data analysis using the Miles and Huberman model. The findings reveal that although the local government has begun implementing scholarship programs, the execution is not fully effective. Supervision during participant selection focuses mainly on administrative completeness rather than document authenticity. Furthermore, direct outreach activities are limited to certain regions, coordination with village authorities remains minimal, and digital transformation has yet to be realized due to unsuccessful collaboration with the Communication and Information Agency despite several coordination meetings.

This study aims to analyze the influence of customer experience and perceived value on tourist satisfaction among users of the Sidoarjo City Tour Bus as a form of public tourism transportation service. The Sidoarjo City Tour Bus represents a regional government service innovation intended to support tourism development while improving urban tourism accessibility. This study employs a quantitative approach using a survey method involving tourists who used the Sidoarjo City Tour Bus. Data were collected through questionnaires distributed to 99 respondents and analyzed using multiple linear regression with the assistance of SPSS software. The results indicate that customer experience does not have a significant effect on tourist satisfaction, suggesting that the experiences perceived by users are still subjective and not consistently felt by all service users. In contrast, perceived value has a positive and significant effect on tourist satisfaction, making it the most dominant variable in influencing satisfaction among Sidoarjo City Tour Bus users. These findings indicate that tourist satisfaction is more strongly determined by perceptions of benefits, service quality, and the suitability between sacrifices made and benefits received rather than by emotional experience alone. Therefore, this study recommends that the management of the Sidoarjo City Tour Bus and the local government enhance service value through improvements in facilities, information systems and registration processes, as well as optimization of comfort and schedule certainty. These efforts are important to increase tourist satisfaction and to support sustainable tourism development in Sidoarjo Regency.

This study examines the integration of technology in the process of Human Resource (HR) transformation through the perspective of employee data analytics as a strategic approach to modern HR management. The primary focus of the study is to analyze the impact of the simultaneous integration of digital HR systems and organizational digital transformation on improving the efficiency of HR functions, with organizational agility positioned as a moderating variable that strengthens this relationship. In addition, the study explores the potential optimization of Artificial Intelligence (AI) technologies and predictive analytics methods, such as Bayesian Optimization, in predicting workforce dynamics, including employee attrition risk and competency development needs, while also bridging the analytical skills gap among HR practitioners. The research method employed is a systematic literature review of relevant scientific publications from 2021 to 2025, selecting sources that address digital HR transformation, HR analytics, and the application of AI in organizational contexts. The findings indicate that digital HR systems have a strong and significant effect on enhancing operational efficiency and the quality of HR decision-making, and this effect becomes more optimal when supported by a high level of organizational agility. Furthermore, AI and predictive analytics are proven to generate more accurate predictions and simplify technical complexity, making them easier for HR practitioners to adopt. This study concludes that the success of HR transformation requires a holistic approach that aligns the use of advanced technologies with organizational capabilities, human resource readiness, and ethical considerations to create sustainable organizational value.

Digital transformation in public services represents a strategic shift in integrating information technology into governmental administrative systems to enhance service efficiency, transparency, and accountability. One prominent innovation in this effort is the adoption of electronic land certificates initiated by the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency (ATR/BPN) as part of land service modernization. This policy is formally regulated under Ministerial Regulation No. 3 of 2023 concerning electronic documents in land registration. This study employs a descriptive qualitative approach to examine the implementation process, identify enabling and constraining factors, and assess the impact of electronic land certificates on the quality of land services. Data were obtained through interviews, field observations, and document analysis at the Tulungagung Regency Land Office and analyzed using the interactive model proposed by Miles and Huberman. The findings indicate that electronic land certificates contribute significantly to improving service efficiency, administrative speed, and data security. Nonetheless, several challenges persist, including inadequate network infrastructure in rural areas, limited public digital literacy, and insufficient information technology personnel. Despite these constraints, the initiative has been positively received and reflects the local government’s commitment to advancing digital governance and good governance principles. The effectiveness of this transformation largely depends on institutional readiness, technological support, and community engagement.

The Mapan Satria Program represents the Kediri City Government's commitment, through the Department of Transportation, to enhance public service quality in the bus transportation sector under the name Bus Satria; however, operational obstacles such as schedule unreliability and insufficient public information persist. This study aims to describe the effectiveness of the Mapan Satria Program managed by the Kediri City Department of Transportation commencing in 2023. Program effectiveness was analyzed based on Annas's (2017) seven indicators using a qualitative method with data collection through observation, interviews, and documentation. The analysis indicates that the Mapan Satria Program (Moda Angkutan Pelayanan Aman dan Nyaman Sarana Transportasi Kediri Bahagia) has not yet operated effectively. While aspects such as timeliness, work mechanisms, inter-agency cooperation, fund disbursement, and monitoring and evaluation have been implemented in accordance with regulations, others remain suboptimal, including limited human resources, service deviations, inadequate information updates, and low public utilization. Therefore, the author recommends optimizing the program by expanding socialization to the wider community, providing clear schedule information at bus stops to facilitate passengers, strengthening the operational monitoring and evaluation system, and imposing strict sanctions for deviations.

Evaluation of training programs at the UPT Balai Latihan Kerja (BLK) in East Java has become an essential component in measuring the success of competency-based training implementation that aligns with labor market needs. This study applies the Systematic Literature Review (SLR) method to answer the research questions regarding the effectiveness of training programs at UPT Balai Latihan Kerja (BLK) in East Java in improving work competencies, the evaluation models used in BLK training programs, and the challenges documented in the design of the evaluation studies. The literature search was conducted through Google Scholar using inclusion and exclusion criteria, guided by the research questions determined by the researcher, and a three-point Quality Assessment framework to assess the methodological rigor and contribution of each journal's evaluation results. From the five journals analyzed, the key findings indicate that BLK training programs in East Java are relevant to workforce development needs and implemented based on the Competency-Based Curriculum (Kurikulum Berbasis Kompetensi/KBK). This study contributes important insights to the understanding of vocational program evaluation at BLK, highlighting that current evaluation approaches possess structured and relevant implementation foundations, and generate a positive impact in supporting the improvement of work competencies among BLK participants and alumni, particularly in the East Java region.

College represents a critical transitional period requiring high adaptation, where students often face escalating academic demands triggering psychological pressure. This study aims to deeply analyze the reciprocal relationship between sleep patterns and academic stress levels, and identify their subsequent impacts on cognitive function (concentration) and students' physical health. This study employs a qualitative method with a Systematic Literature Review approach. Data were collected through comprehensive searches of accredited national and reputable international scientific articles published within the last five years (2020–2025). Literature selection was conducted rigorously using specific keywords to screen empirical studies relevant to stress, sleep, and student health variables. Data synthesis reveals a strong and consistent negative correlation. High levels of academic stress whether stemming from the adaptation phase of new students (initiation), thesis preparation workload, or role conflicts in working students are significantly associated with decreased sleep quality. Physiologically, stress triggers increased cortisol levels causing insomnia, shortened sleep duration, and prolonged sleep latency. Subsequent impacts are proven to drastically reduce learning concentration and trigger physical health disorders, including an increased risk of primary dysmenorrhea in female students. This study concludes that academic stress and sleep disturbances form a destructive cycle that exacerbates one another. Therefore, holistic institutional interventions in the form of sleep hygiene education and stress management training are needed to break this chain for the sake of student well-being and academic performance.

The increasing number of children with autism spectrum disorder in Indonesia presents new challenges for the inclusive education system, particularly in the development of social skills. This study aims to analyze the impact of floortime therapy on the development of social skills in children with autism at UPTD SMP Negeri 18 Depok City. The study employed a qualitative approach using a case study method, with data collected through observation, interviews, and documentation. The theoretical framework was based on the floortime implementation theory proposed by Greenspan and Wieder (2006) and the social skills theory by Rachmah (2018). The results indicate that floortime therapy has a positive impact on improving the social skills of children with autism, particularly in aspects of attention and engagement, two-way communication, sharing ideas and emotions, and logical thinking. The effectiveness of the therapy is further enhanced by the contribution of the surrounding environment, including family members, teachers, peers, and therapists, who play an important role in supporting the sustainability of the intervention. These findings emphasize that floortime therapy is not only effective as a therapeutic approach but also serves as a supportive strategy in improving the quality of inclusive education services for children with special needs.  

The lompong flower is an ornamental plant that requires stable soil moisture conditions and a stable environment so that it can grow optimally. Moisture level mismatches often hinder growth and even have the potential to cause plant damage. This research aims to design and implement an Internet of Things (IoT)-based humidity monitoring system that is able to monitor the humidity condition of the pond flower in real-time. The system developed uses soil moisture sensors as input devices, microcontrollers as data processors, and internet networks as a medium for sending data to the monitoring platform. The data obtained is displayed directly so that users can know the actual humidity conditions and take appropriate maintenance actions. The results show that the system is able to display moisture data with a good level of accuracy, as well as provide relevant information for users in plant care decision-making. The implementation of this system has proven to be effective in supporting the maintenance of lompong flowers, especially in maintaining soil moisture stability. This research is expected to be a reference for the development of IoT-based ornamental plant monitoring technology, as well as contribute to improving the quality of plant care in a more efficient and measurable manner.

This study examines the effectiveness of the SIPELANDUKILAT program (Population Administration Service System for Border and Remote Areas) in improving population administration services in rural and remote areas of Tanjung Palas Timur District, Bulungan Regency, North Kalimantan Province. Using qualitative descriptive methods with an inductive approach, data were collected through interviews with 10 informants, direct observation, and documentation. The theoretical framework employs Siagian's (2011) effectiveness theory, assessed through four dimensions: human resources, funds, facilities and infrastructure; quantity and quality of services; time; and procedures. Findings indicate that the program has not yet reached full effectiveness, particularly due to the absence of specialized training for operators, inadequate facilities and infrastructure, and the transition from the distributed SIAK system to a centralized SIAK system that rendered offline recording equipment unusable. Supporting factors include qualified human resources, assistance from the Provincial Civil Registry Office, and high community participation. The study recommends that Bulungan Regency accelerate adaptation to the centralized SIAK system, improve facilities and infrastructure, and strengthen inter-agency cooperation to optimize population administration services in remote areas.

This study investigates the influence of Apparatus Competency and Information Systems on Community Political Participation in the Local Government Head Election during the COVID-19 pandemic era in Karawang Regency. The COVID-19 pandemic has posed significant challenges to democratic processes, particularly in maintaining voter participation while ensuring public health safety. Employing a mixed-methods approach combining quantitative and qualitative data with Structural Equation Modeling (SEM) analysis, this research analyzed data from 263 respondents across various election administrative units. The results indicate that: (1) Apparatus Competency does not have a significant positive effect on Community Political Participation (T-value = 1.01 < 1.96); (2) Information Systems have a significant positive effect on Community Political Participation (T-value = 2.78 > 1.96; path coefficient = 0.67). The combined contribution of both variables explains 76% of the variance in political participation. From these findings, the study proposes the Skills Democracy Model, emphasizing that digital information skills and organizational experience are critical determinants of democratic participation quality during pandemic conditions. These findings have significant implications for election governance reform and e-democracy development in Indonesia.

Public service in the transportation sector plays a strategic role in ensuring public safety and comfort, particularly through roadworthiness testing (Kir) for public transportation. This study aims to analyze the implementation of public services in roadworthiness testing at the Bandar Lampung City Transportation Agency and to identify the factors influencing its service quality. The research employs a qualitative approach, with data collected through interviews, observations, and documentation. The results indicate that the roadworthiness testing has been implemented systematically in accordance with statutory regulations, covering the stages of registration, technical inspection, result determination, and administrative completion. The application of technical inspections and on-field safety inspections (ramp checks) demonstrates the local government's commitment to improving public service quality and transportation safety. However, the implementation still faces several obstacles, including technological system disruptions, long waiting times, limited testing facilities and infrastructure, and a lack of understanding among some service users regarding the importance of roadworthiness. This study concludes that enhancing public services in roadworthiness testing requires strengthening the service systems, increasing human resource capacity, and raising public awareness to ensure services operate more effectively and remain oriented toward the public interest

Rapid global environmental changes, especially due to advances in technology and information, have had a significant impact on various sectors of life, including the health sector. In the context of modern health services, hospitals are no longer just places of healing, but also institutions that are required to provide high-quality services, based on patient safety, and are able to adapt to the dynamics of community needs. This change requires a transformation in human resource management, especially related to the interpersonal and psychosocial competencies of nurses as the spearhead of medical services.Purposes:​ to analyze the effect of effective communication and Assertive Attitude on Nurses' Work Productivity in hospitals, with Work Fatigue as a mediating variable.Methods: This type of research is quantitative, using statistical figures to measure the influence of independent variables on dependent variables. The research design is a cross-sectional study.Results: The results of this study indicate that effective communication, assertiveness, and job fatigue collectively significantly influence nurses' work productivity. Communication and assertiveness positively contribute to job fatigue, which in turn affects productivity. Job fatigue is also shown to be a significant mediator in the relationship between communication and assertiveness on work productivity .Conclusion : The importance of strengthening effective communication as a strategy to increase productivity. Organizations need to design communication systems that support openness, transparency, and clarity of information and culture-based assertiveness training, so that employees can express their opinions appropriately without causing resistance in the team.

Stock price prediction remains a complex challenge due to the dynamic and non-linear nature of financial markets, especially for banking stocks like PT Bank Negara Indonesia (Persero) Tbk (BBNI). This study aims to optimize BBNI stock price forecasting by integrating an automated Extract, Transform, Load (ETL) pipeline with the Long Short-Term Memory (LSTM) algorithm within a data engineering framework. Historical data from 2019 to 2025 were processed through a structured ETL sequence—including data cleaning, feature engineering, and MinMaxScaler normalization—to ensure high data quality. The dataset was partitioned into 80% for model training and 20% for testing to ensure rigorous evaluation. The results demonstrate that the systematic ETL approach significantly enhances model stability and predictive accuracy compared to conventional methods. The LSTM model effectively captured long-term temporal dependencies, providing reliable trend forecasts with an impressive test accuracy, achieving a Root Mean Squared Error (RMSE) of 0.0354. This research underscores that integrating robust data engineering practices with deep learning is essential for building resilient financial decision-support systems.

This study aims to describe and analyze the transformation process from maritime empires to nation-states in Southeast Asia, as well as the factors that drove it and its impact on regional societies. The study uses a literature study method by collecting and analyzing data from various relevant primary and secondary sources. The results show that Southeast Asia has a long history of maritime empires such as Srivijaya, Majapahit, and Malacca, which became centers of trade, the spread of religion, and the formation of early social structures. The transformation to nation-states was influenced by the influx of European influence, the growth of nationalism, and changes in economic structures. The transformation process included changes in the formation of national borders, government systems, the development of state institutions, as well as changes in social structures, the spread of education, and shifts in cultural values. The impacts of the transformation included increased state sovereignty, economic development, and improvements in the quality of life for the people, but also brought challenges such as ethnic tensions, corruption, and socioeconomic inequality. This study concludes that the transformation process is a complex journey that shapes the characteristics of modern nation-states in Southeast Asia today.

The Tapal Kuda Air Salobar Food Court is one of the culinary areas that plays an important role in supporting tourism and social activities in Ambon City. This area offers a variety of local culinary specialties from Maluku which are an attraction for the community and tourists. However, the increase in the number of visitors and the activities of traders have not been fully balanced by the conditions of adequate spatial planning, facilities, and area management systems. This study aims to analyze the existing condition of the Tapal Kuda Air Salobar Food Court from the aspects of spatial planning, waste management, supporting facilities, as well as the potential and challenges of its development as a culinary tourism destination. This study uses a descriptive qualitative approach with data collection methods in the form of field observations and in-depth interviews with key informants, namely area managers, traders, and visitors. The data obtained are analyzed thematically to identify the main problems and potential development of the area. The results of the study indicate that the spatial planning of the Tapal Kuda Air Salobar Food Court has not been able to accommodate the increase in visitor and trader activities due to the lack of clear zoning, limited circulation routes, and spatial planning that develops without integrated planning. Furthermore, waste management in this area is not yet systematic and sustainable, as evidenced by limited trash bins, a lack of waste sorting, and poorly scheduled waste collection. Limited supporting facilities, such as seating and sanitation facilities, also impact the comfort and quality of the visitor experience, especially during peak visitor periods. Nevertheless, the Tapal Kuda Air Salobar Food Court has significant potential as a culinary tourism destination based on local cuisine and a social space, which can be developed through spatial planning, facility improvements, and more integrated area management. This study concludes that the revitalization of the Tapal Kuda Air Salobar Food Court requires a comprehensive approach, emphasizing spatial planning improvements, strengthening waste management, and enhancing the quality of facilities and area management to support the sustainability of culinary tourism and the quality of public spaces in Ambon City.

The development of information technology has significantly improved the efficiency of application-based delivery services, including Shopee Partner Driver couriers. However, several issues such as delays in information updates, system errors, and inaccurate delivery data still affect courier performance. This study aims to analyze the effect of Information Quality and System Quality on the Performance of Shopee Partner Driver Couriers in Medan City. This research used a quantitative method with a questionnaire survey distributed to 100 active couriers. The instrument applied a fivepoint Likert scale, and data were analyzed using validity and reliability tests, descriptive statistics, and multiple linear regression analysis with SPSS software. The results indicate that both Information Quality and System Quality have a positive and significant effect on Courier Performance. The coefficient of determination (R²) of 0.625 shows that these two variables explain 62.5% of courier performance variance, while the remaining 37.5% is influenced by other factors. These findings support the DeLone and McLean (2003) model of information system success, emphasizing the importance of system and information quality in enhancing user performance.

Hospitals often face difficulties in determining patient treatment priorities due to limited medical resources and the uncertainty of patient conditions. Conventional prioritization methods tend to rely on subjective judgment, which can lead to inconsistent decisions and delays in treatment. This study aims to apply fuzzy logic in a decision support system to determine patient priority levels more objectively and systematically. The proposed method utilizes a fuzzy inference system that processes several criteria, including the severity of symptoms, vital signs, patient age, and waiting time. These criteria are represented as fuzzy sets and evaluated using a set of inference rules to generate priority classifications. The results indicate that the fuzzy logic–based system is able to classify patient priorities more consistently and transparently compared to manual assessment. The system provides clear priority categories that can support medical staff in making faster and more accurate decisions. The findings imply that the implementation of fuzzy logic in hospital decision support systems can improve the quality of healthcare services, enhance fairness in patient handling, and optimize the allocation of medical resources, particularly in emergency and high-demand situations.

This study aims to analyze the quality of granulated sugar products at PT Madukismo Yogyakarta using the Six Sigma methodology through the DMAIC approach (Define, Measure, Analyze, Improve, and Control). The main problems identified involve high variations in product quality and significant defects, particularly related to moisture content (less dry) and off-color products. Production and defect data from May 2023 to September 2024 were used to calculate DPMO and sigma levels as indicators of process performance. The results show that the sigma level ranges from 4.48 to 5.03, with the highest DPMO recorded at 1,456.76 and the lowest at 205.55, indicating that the process has not yet achieved Six Sigma performance. Pareto analysis reveals that color defects (58.4%) contribute the most to overall defects. The Fishbone diagram analysis indicates that defect causes originate from factors related to manpower, method, material, machine, measurement, and environment. Improvement recommendations include digitalizing monitoring systems, enhancing SOPs, upgrading operator competencies, modernizing machinery, improving raw material management, and strengthening environmental control systems. These improvements are expected to reduce DPMO to below 500 and increase the sigma level to at least 5.2. This study concludes that the Six Sigma approach is effective in identifying quality issues and formulating strategies to improve the quality of granulated sugar products at PT Madukismo.