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Traffic performance on urban road segments is strongly affected by vehicle volume and travel time, particularly during peak periods. This study analyzes the relationship between travel duration and the total number of vehicles passing along Otto Iskandar Road as an illustration of urban traffic conditions. Data were collected through field surveys, focusing on two main variables: average vehicle travel time and total traffic volume. Statistical analysis was performed using IBM SPSS Statistics, including normality testing and the Wilcoxon Signed Rank Test to identify potential differences between the observed variables. The results show a difference in average values between travel duration and vehicle volume; however, this difference is not statistically significant at the 95% confidence level (p = 0.180). These findings indicate that increases in traffic volume do not always lead to proportional increases in travel time, although they can still influence the stability and efficiency of traffic flow. The results are consistent with previous studies, such as Halim (2021), who reported that U-turn movements affect speed and traffic performance, and Handayani et al. (2024), who found that parking activities and vehicle maneuvers reduce road capacity. Other studies also highlight the impact of side friction and traffic flow variations on speed and saturation levels. Overall, this study emphasizes the importance of managing vehicle flow and monitoring travel time in urban transportation planning and traffic management.

Food tourism is increasingly recognized as a strategic component in enhancing the competitiveness of tourism destinations, particularly thru the development of local cuisine based on local wisdom. However, most research still views digital platforms as partial promotional tools and has not yet studied how to use them systematically to build a sustainable culinary tourism ecosystem. The purpose of this study is to examine how digital platforms contribute to the development of local cuisine and how they contribute to the strengthening of sustainable culinary tourism. This is the culinary tourism destination that is the subject of this study, which was conducted using the case study method. Data was collected thru in-depth interviews with culinary MSME producers, destination managers, and tourists, as well as online observations via social media, travel review platforms, and culinary markets. The research results show that the value of tourism experiences can be enhanced, destination identity strengthened, and active participation of local SMEs increased thru the integration of digital platforms that connect visual promotion, tourist interaction, and digital culinary stories. The latest finding in this research is the development of a multi-platform digital integration model that serves not only as a marketing tool but also as a collaborative ecosystem that helps local economic growth, preserves culinary cultural heritage, and enhances the competitiveness of tourist destinations. The results of this research contribute conceptually and practically to building sustainable digital-based culinary tourism strategies.

Halal tourism has continued to grow as a highly attractive segment for Muslim travelers, particularly in the provision of Sharia-compliant accommodation such as Islamic hotels. This study aims to examine consumer perceptions of halal food-and-beverage facilities and Sharia-based operational standards in Islamic hotels across the Greater Jakarta area (Jabodetabek). A descriptive quantitative approach was employed, involving 150 respondents who had stayed in Sharia hotels. Data were collected through closed-ended Likert-scale questionnaires and analyzed using the Weighted Mean Score (WMS) technique to evaluate respondents’ assessments of each indicator. The results indicate that consumer perception of halal food-and-beverage facilities falls into the very high category, with average scores exceeding 4.838. Consumers acknowledged that Sharia hotels maintain halal assurance, hygiene, and food safety through proper processing and the availability of halal certification. Regarding operational aspects, consumer perception is also classified as very good, with an average score of 4.606, particularly for policies prohibiting unmarried couples from sharing a room and banning entertainment deemed inappropriate or immoral. However, the use of Sharia-compliant financial institutions still requires improvement. Overall, the findings affirm that Sharia hotels in Jabodetabek have successfully implemented most Sharia principles, although further enhancement of internal operational practices is needed to achieve more comprehensive Sharia compliance.

Tourism is one of the sectors that plays an important role in boosting economic growth through travel activities and destination exploration. Tourists' preferences for nature-based tourism options, such as mountain hiking or beach tourism, are influenced by various factors, ranging from personal experiences and recreational interests to social characteristics. Therefore, a technology-based approach is needed to predict destination choice tendencies more accurately. As artificial intelligence technology develops, deep learning methods have been widely used in classification processes due to their ability to process large amounts of data and recognize complex patterns. In this study, a Multilayer Perceptron (MLP) model is used to classify tourists' preferences between mountain or beach destinations based on a survey dataset. The research stages include data processing, data splitting using a train-test split, model training, and performance evaluation using accuracy, precision, recall, and F1-score. The test results show that the MLP model is capable of achieving an accuracy rate of 99%, confirming that deep learning methods are effective in automatically mapping tourism preference trends. This research is expected to serve as a basis for the development of more personalized travel destination recommendation systems, as well as to support tourism management in formulating targeted promotional strategies.

The development of science and technology has encouraged the utilization of graph theory in solving optimization problems, particularly in transportation systems and tourism route planning. Medan City, as a metropolitan area with dense road networks and widely dispersed tourist destinations, faces challenges in selecting efficient travel routes. This research aims to determine the optimal route between tourist destinations in Medan City using the Minimum Spanning Tree (MST) method with Prim’s Algorithm. The research was conducted using a weighted graph modeling approach, where each tourist destination is represented as a vertex and the distance between destinations is represented as an edge weight. Distance data and estimated travel time were obtained through digital mapping using Google Maps and then analyzed through iterations of Prim’s Algorithm to produce a minimum spanning tree without forming cycles. The results show that all 23 tourist destinations are successfully connected in a single MST structure with a minimum total distance of 68.97 km and a travel time of approximately 199 minutes or 3 hours and 19 minutes. This model is expected to serve as a reference for tourism planning and support urban transportation efficiency based on mathematical computation.

This study aims to examine the implementation of bureaucratic reform at the Immigration Document Section of Ngurah Rai Immigration Office, focusing on digital transformation through the M-Paspor application to realise a dynamic immigration management system. The research employed qualitative analysis to evaluate service efficiency, transparency, accountability, and staff capacity in the context of digital innovation aligned with Dynamic Governance principles. The findings reveal that digitalisation has significantly enhanced service efficiency through automated procedures, reduced physical queues, and improved transparency, whilst facilitating a shift from manual tasks to core verification and problem-solving activities, though challenges persist regarding human resources capacity and organisational culture, as staff exhibit rule-bound mindsets and defensive communication styles when addressing service delays, thereby undermining public trust and satisfaction. The study concludes that technology alone is insufficient to achieve truly responsive and citizen-centric services, as institutional culture and personnel mindset require continuous strengthening through soft skills training, ethical enforcement, and cultivation of service-oriented, empathetic work culture. Holistic reform approaches that combine technological innovation with human resource development and cultural change are essential for building effective, adaptive, and transparent immigration management systems. The integration of digital systems complemented by professional human resources can foster seamless, efficient, and trustworthy immigration services aligned with good governance principles, whilst sustainable improvements depend on balancing technological advances with organisational culture development and staff professionalism.

This research aims to analyse the implementation of digital innovation in passport services at the Class I Immigration Office Tanjung Perak as part of bureaucratic reform and Good Governance initiatives. The study employed a qualitative case study approach, involving in-depth interviews, participatory observation, and document analysis, to assess the successes and challenges of digital systems such as SIMKIM and M-Paspor. The findings reveal that digital innovation has successfully improved operational efficiency and generally provided transparency into costs and application status, whilst reducing queuing times and increasing service speed, thereby enhancing public satisfaction and trust in immigration services. However, the innovation has not fully addressed structural and cultural bureaucratic barriers, as field officers tend to become passive when systems experience errors or delays, struggling to provide detailed explanations about issues, which results in information ambiguity and potentially undermines procedural transparency and performance accountability principles. The study concludes that bureaucratic reform in the immigration sector requires internal cultural updates and enhanced human resource competencies to support comprehensive transparency and accountability. Digital infrastructure instability and officers' discretionary authority significantly influence the effectiveness of digital innovation. Whilst digital innovation offers substantial benefits in efficiency and transparency, its success depends heavily on strengthening systems, improving human resource skills, and fostering organisational cultural change, with continuous efforts essential for achieving effective, transparent, and accountable public service.

This study provides a comprehensive analysis of the performance of the Travel Document Section at Tanjung Perak Immigration Office within the framework of Public Administration. Employing a qualitative, case-study approach, the research investigates the efficiency, effectiveness, and quality of immigration services, emphasising the application of New Public Management (NPM) principles and Good Governance practices. The findings reveal that while technological innovations such as digital systems (M-Passport and SIMKIM) have successfully improved operational efficiency and reduced physical queues, challenges persist regarding procedural transparency, accountability, and system reliability. Human errors and inconsistent discretion in handling complex documents highlight the need for enhanced capacity building and resource allocation. Moreover, issues of bureaucratic transparency and integrity undermine public trust, underscoring the importance of strengthening internal controls and communication strategies. The study also underscores that service quality is multidimensional, encompassing physical facilities, interpersonal professionalism, and procedural clarity, all of which influence public satisfaction. Despite improvements, the gap between technological efficiency and service effectiveness suggests that further efforts are needed to integrate digital innovations with robust procedural protocols. The research concludes that sustainable performance improvement requires a balanced focus on technological, human, and systemic factors, fostering a culture of transparency, accountability, and continuous development. These insights offer valuable policy recommendations to enhance the robustness and responsiveness of immigration services, ultimately strengthening the legitimacy and trust of government institutions in delivering public services.

Barru Regency tourism has a variety of tourist attractions, but information related to the location and potential of tourism has not been digitally integrated, making it difficult for tourists and the government to access data. This study aims to design and build a web-based Geographic Information System (GIS) that can map the location of tourist attractions in Barru Regency interactively, easily accessible, and equipped with supporting information in the form of descriptions, types of tourism, photos, and travel routes. The research method used is Research and Development (R&D) with the stages of tourist attraction surveys, interface design, feature development, and system testing. The results of the study are in the form of a website "Web-Based Geographic Information System for Mapping Tourist Attractions in Barru Regency" which is able to present tourist information systematically and easily understood. The conclusion of this study shows that the developed system can be a supporting medium in disseminating tourism information, helping tourists find tourist locations, and supporting the local government in managing and developing the tourism sector based on spatial data. This application also has the potential to be an educational and promotional tool to increase tourist visits to Barru Regency  

The growth in the number of vehicles in Surabaya has led to increased traffic congestion, particularly on the Perak Timur–Perak Barat road section, which serves as a major distribution route to the port and industrial areas. Problems arise at U-Turn points, where vehicle accumulation hampers traffic flow. This study analyzes traffic volume, travel time, queue length, and queue ratio at two U-Turn points on this section. The method used was a field survey with direct observation of vehicle volume every 15 minutes, vehicle classification, and queue length. Traffic volume was calculated using the Passenger Car Equivalent (PCE) factor based on the 1997 MKJI standards. The study results show that at Point 1, east–west direction, the highest queue ratio occurred on Tuesday from 11:00 to 12:00 (p = 4.84), while the lowest was on Sunday from 06:00 to 07:00 (p = 0.21). At Point 2, west–east direction, the highest queue ratio occurred on Tuesday from 08:00 to 09:00 (p = 6.18), and the lowest from 06:00 to 07:00 (p = 0.41). These findings indicate that during peak hours, traffic congestion increases (p > 1), causing long queues, particularly in the west–east direction in the morning. The performance of the U-Turn on the Perak Timur–Perak Barat road section needs improvement, with recommendations such as temporarily closing U-Turns during high volumes, providing alternative U-Turn lanes, and adding signs to minimize the potential for vehicle conflicts.

Soft skills are essential competencies that teachers must possess to create an effective, communicative, and student-centered learning process. However, the geographical conditions of SD Negeri 01 Saonek, which is located in an island area, present unique challenges, particularly related to limited access to travel outside the island and unstable communication networks. These limitations have resulted in teachers at the school not receiving adequate training in soft skill development, including communication, classroom management, and self-reflection abilities. To address this need, a socialization and training program based on microteaching was implemented as an effort to enhance teachers’ professional competencies. The microteaching method was chosen because it provides opportunities for direct practice, structured feedback, and simplified yet effective teaching simulations. The training was designed to help teachers understand good teaching techniques, build confidence, and strengthen interpersonal skills in instructional interactions. In addition, the collective feedback sessions offered participants chances to learn from one another and improve their teaching strategies based on peer observations. The results of the activity indicated an improvement in teachers’ ability to design lesson scenarios, manage classrooms, deliver material more clearly, and communicate more effectively with students. Teachers also reported increased motivation and a deeper understanding of the importance of soft skills in supporting their professionalism. Thus, the microteaching training provided new insights into the capacity-building process for teachers at SD Negeri 01 Saonek and served as a relevant solution for island schools facing limited access to conventional training. This program is expected to continue and become a model for empowering teachers in 3T regions to sustainably improve education quality.

This systematic literature review explores the application of the Stimulus-Organism-Response (SOR) model in understanding tourist behavior, focusing on empirical studies from 2019 to 2025. The tourism industry, a key economic driver globally, necessitates a deep understanding of tourist behavior to develop effective marketing strategies and enhance the tourist experience. The SOR model, which examines the impact of external stimuli on tourists' psychological and emotional responses, offers a comprehensive framework for analyzing tourist behavior. This review synthesizes findings from recent studies to highlight how external stimuli such as destination image, social media marketing, and sensory experiences affect tourists' perceptions, motivations, and behaviors, influencing their loyalty and intention to revisit destinations. It also discusses the role of internal factors, including satisfaction, trust, and tourist engagement, in mediating the response to external stimuli. The findings suggest that understanding these dynamics can help destination managers and tourism marketers design more targeted and sustainable marketing strategies. The review also identifies gaps in the current literature and provides recommendations for future research, particularly in the integration of digital technologies and the increasing importance of sustainability in tourism behavior.

Instagram has become one of the most influential digital platforms for the construction and dissemination of lifestyle meanings, particularly through the presence of social media influencers. Among various lifestyle narratives, luxury is one of the most dominant and ideologically loaded representations circulated by influencers. This study examines how luxury is represented, constructed, and naturalized in the Instagram content of female Indonesian influencers using Roland Barthes’ semiotic framework. The object of this research consists of visual and textual Instagram posts that display luxury-related lifestyles, including fashion, travel, leisure, and consumption practices. The main problem addressed in this study concerns how signs of luxury operate at the levels of denotation, connotation, and myth to shape audience perceptions of success, femininity, and social status. The objective of this research is to reveal the ideological meanings embedded in influencer content and to explain how luxury is transformed into a normalized and desirable lifestyle. This study employs a qualitative descriptive method with semiotic analysis. Data were collected through purposive sampling of Instagram posts from selected female Indonesian influencers with significant follower engagement. The findings show that luxury is represented not merely through high-priced commodities but through symbolic systems involving aesthetics, body presentation, spatial settings, and narrative captions. At the mythological level, luxury is naturalized as the result of personal effort, self-discipline, and modern femininity, thereby obscuring structural inequalities and reinforcing consumerist ideology. This study concludes that Instagram influencers function as cultural agents who reproduce dominant myths of success and luxury in digital culture.

Halal tourism has continued to grow as a highly attractive segment for Muslim travelers, particularly in the provision of Sharia-compliant accommodation such as Islamic hotels. This study aims to examine consumer perceptions of halal food-and-beverage facilities and Sharia-based operational standards in Islamic hotels across the Greater Jakarta area (Jabodetabek). A descriptive quantitative approach was employed, involving 150 respondents who had stayed in Sharia hotels. Data were collected through closed-ended Likert-scale questionnaires and analyzed using the Weighted Mean Score (WMS) technique to evaluate respondents’ assessments of each indicator. The results indicate that consumer perception of halal food-and-beverage facilities falls into the very high category, with average scores exceeding 4.838. Consumers acknowledged that Sharia hotels maintain halal assurance, hygiene, and food safety through proper processing and the availability of halal certification. Regarding operational aspects, consumer perception is also classified as very good, with an average score of 4.606, particularly for policies prohibiting unmarried couples from sharing a room and banning entertainment deemed inappropriate or immoral. However, the use of Sharia-compliant financial institutions still requires improvement. Overall, the findings affirm that Sharia hotels in Jabodetabek have successfully implemented most Sharia principles, although further enhancement of internal operational practices is needed to achieve more comprehensive Sharia compliance.

This research aims to analyze the partial and simultaneous influence of four independent variables—Ticket Price (X_1), Service Quality (X_2), Customer Trust (X_3), and Promotion (X_4)—on Ship Ticket Purchase Decisions (Y) at PT. PELNI Semarang Branch. Utilizing an associative quantitative method with a sample of 100 passenger respondents (N=100), the data were analyzed using multiple linear regression (SPSS 22.0). The model demonstrated a strong explanatory power, accounting for 55.7% of the variation in purchase decisions (Adjusted\ R^2 = 0.557). The t-test results indicate that all independent variables have a positive and significant influence on Purchase Decisions (all t_{hitung} > 1.9853). The Promotion variable (X_4) showed the strongest individual influence (\beta = 0.282, t=4.777), highlighting the critical nature of effective information dissemination and communication strategies in attracting and guiding mass maritime consumers. Customer Trust (X_3) and Service Quality (X_2) also proved highly significant, affirming the essential role of State-Owned Enterprise (BUMN) integrity and service reliability in mitigating perceived maritime travel risks. Managerial implications suggest PT. PELNI prioritizes enhancing Promotion through digital media and maintaining the fairness of Price setting, which remains a key consideration for this market segment.

This study aims to analyze ticket purchasing behavior at Mawar Tour & Travel Pekalongan. The issue raised in this research is the decline in direct ticket purchases due to the rise of competing digital platforms, which has made it more challenging for traditional travel agencies to retain customers. The research method used is quantitative, employing multiple linear regression analysis through SPSS software to evaluate various factors influencing customer decisions. The results show that service quality and price perception significantly affect purchase intention, while booking convenience does not directly influence it but is fully mediated by trust, highlighting the importance of building strong customer relationships. These findings suggest that Mawar Tour & Travel should enhance service quality, strengthen customer trust, and adopt competitive pricing strategies to improve customer satisfaction and increase sales. This approach would enable the agency to stay competitive in the rapidly changing digital marketplace and better meet the needs of its customers.

This study aims to determine Jesus' evangelistic mission based on Matthew 9:35–38 and its implementation for students of the Theology Study Program of IAKN Tarutung. The research method in writing this scientific paper is a combination of qualitative and quantitative methods. For the qualitative method using a library research approach while the quantitative method with 10 informants of the Theology Study Program of IAKN Tarutung. In this study will be explored the mission of Jesus' evangelism based on Matthew 9:35–38 and its implementation for students of the Theology Study Program of IAKN Tarutung. The results of the study of the exegesis of Matthew 9:35–38 Jesus' evangelistic mission is to travel, teach, preach the Gospel, heal the sick, Jesus' compassion. From this study also shows that students have understood the essence of Jesus' evangelistic mission theologically. This is influenced by the learning of the Contemporary Missiology course which reveals the basic principles of the mission based on the Gospel of Matthew. However, implementation in the field is still very limited. As many as 70% of the data obtained in this study indicate that students have not yet pursued mission as a calling, but rather as an academic task. Challenges faced in carrying out mission for students of the Theology Study Program at IAKN Tarutung include a lack of self-confidence, an inapplicable curriculum, and low spiritual awareness. This study emphasizes that theological understanding needs to be supported by a curriculum system, spiritual formation, and a contextual service community so that students are able to live out the mission of evangelism comprehensively as exemplified by Jesus Christ.

This think about focuses to analyze the affect of traveler attractions, Advancement, and facilities on the choice to visit the Saung Z guest interest in Karang Tanding Town, Empat Lawang Run the show. This consider is impelled by the potential of sharia tourism as an effort to make neighborhood tourism that prioritizes Islamic values. This consider livelihoods fundamental data with a quantitative approach. The people in this consider is generally 18,000 visitors per year. The reviewing of this consider was carried out by purposive testing with a include up to of 100 respondents going to the guest interest. The examination methodology utilized in this consider is authenticity testing, faithful quality, classical assumption testing, and hypothesis testing utilizing IBM SPSS 22 examination. The results of this study show that tourist attractions, promotions, and facilities have a positive and significant influence on the decision to visit. The proposals of the comes around of this consider are the noteworthiness of more fruitful constrained time strategies, most extraordinary organization of traveler attractions and making strides the quality of workplaces that back guest reassurance in the midst of their visits and to draw in guest captivated This ask approximately is expected to contribute to the advancement of the tourism fragment, especially in Empat Lawang Run the show.

This study aims to analyze the difference in the volume of motorcycle traffic in the morning and evening on Jalan Dahlia which leads from the Square. The data was collected through direct observation methods during a specific period during morning and evening rush hours, then analyzed to determine vehicle flow patterns, traffic density levels, and significant differences between the two time periods. In addition, this study also considers supporting factors such as community activities, working hours, and daily travel patterns of road users that affect traffic intensity. The results of the study showed that there was a significant difference in vehicle volume, where the volume of motorcycles in the morning tended to be higher than in the afternoon due to the dominance of trips to work and school. On the other hand, in the afternoon the traffic volume is relatively more spread due to variations in the return time of road users. These findings are expected to be a reference for related parties, especially local governments and transportation agencies, in traffic management planning, transportation operational timing, and efforts to improve the safety and comfort of road users in the area.

Sentiment analysis of guest reviews is a crucial aspect in improving the quality of hotel services. This study aims to analyze the sentiment of guest reviews regarding the services of Grand Diamond Hotel Yogyakarta using a machine learning approach with the Support Vector Machine (SVM) algorithm. SVM was chosen because it can handle high-dimensional data such as text and is capable of forming an optimal separating hyperplane between sentiment classes. The research data was obtained through web scraping from Traveloka, yielding 1,119 reviews, which were processed through preprocessing, translation, and sentiment labeling using the TextBlob library. After TF-IDF weighting, the data was divided into 80% for training and 20% for testing. The linear kernel SVM model achieved 80% accuracy in classifying the reviews into positive, negative, and neutral categories. The results of this study were implemented in a web-based application equipped with data visualization and model evaluation features, allowing hotel management to efficiently monitor and analyze guest sentiment and support data-driven service quality improvement.