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King Royal Hotel Restaurant still applies manual sales transaction recording, causing data management and revenue report preparation to be less than optimal. This study aims to design and implement a Flutter-based sales and revenue reporting application that utilizes local storage as a data storage mechanism on the device. The system development method used is the Waterfall method, which includes the stages of requirements analysis, design, implementation, testing, and maintenance. The application was developed using the Flutter framework with the Dart programming language and utilizes the shared_preferences and hive packages for local data management on the device without requiring an internet connection or external database server. In addition, the application is designed to be easy for restaurant employees to use in recording daily transactions more quickly and accurately. Testing was conducted using the Black Box Testing method, which showed that all application features functioned according to functional requirements. The results of the study indicate that the Flutter-based application with a local storage approach is capable of improving transaction recording efficiency and generating revenue reports automatically at King Royal Hotel Restaurant.

This study aims to examine the simultaneous and partial effects of the work environment and work-life balance on employee work stress at Hotel X. The research design is causal quantitative, with multiple linear regression analysis using SPSS 26.0 for Windows. The sample was obtained through purposive sampling (non-probability) of 120 respondents. The research subjects were employees working in shifts. The analysis results show that, (1) both variables simultaneously have a negative and significant effect on work stress, (2) the work environment has a negative and significant effect (sig. 0.002), and (3) work-life balance has a negative and significant effect (sig. 0.000). The work-life balance variable dominates its influence compared to the work environment, as seen from the lower significance value. These findings confirm that improving work-life balance and the work environment effectively reduces stress, especially for shift workers who are vulnerable to time imbalance. Based on the results, organizations are advised to optimize human resource management by maintaining a balance between job demands and employee conditions, as well as ensuring a proportional workload. Improvement in work-life balance can be achieved through flexible leave policies, adequate breaks between shifts, no overtime days except in emergencies, and minimizing personal time interruptions. These steps are expected to enhance employee well-being, retention, and productivity in the hospitality sector. Further research is recommended to explore different variables and methods, including comparing non-shift employees with the same variables, for more comprehensive insights.

This study aims to analyze the influence of the physical work environment (X1), work-life balance (X2), and job satisfaction (X3) on employee performance (Y) at Grand Serela Hotel Bandung. The method used in this study is a non-probability technique with saturated sampling, with a population of 56 hotel employees. Data analysis was carried out using multiple linear regression, assisted by SPSS version 25 and Microsoft Excel 2019. The results showed that the physical work environment (X1) has a significant influence on employee performance (Y), which indicates that the physical condition of the workplace can increase employee productivity and performance. However, work-life balance (X2) does not have a significant effect on employee performance, which may indicate that other factors outside of work-life balance affect employee performance. Job satisfaction (X3) also has a significant effect on employee performance, indicating that a high level of job satisfaction can improve overall employee performance. This study provides insights for hotel management to improve employee performance through improving the work environment and increasing job satisfaction.

This study aims to analyze the implementation of spatial planning regulations in the development of tourism accommodations and law enforcement against spatial planning violations in the Bingin Beach area, Badung Regency. The rapid development of tourism in the area has encouraged the construction of various facilities such as villas, hotels, and restaurants, some of which are located in coastal areas and do not fully comply with spatial planning and licensing regulations. This study uses empirical legal research methods with a legislative approach, case approach, and legal sociology approach. Data was obtained through observation, interviews, and document studies, then analyzed qualitatively. The results show that the implementation of spatial planning regulations in Bingin Beach has not been optimal because there are still tourism accommodation buildings that violate zoning and coastal boundary line regulations. This condition is influenced by weak supervision, rapid tourism development, and lack of compliance with licensing procedures. Law enforcement is carried out by the local government through the imposition of administrative sanctions and efforts to control buildings that do not comply with spatial planning. This law enforcement aims to maintain order in the use of space and protect the sustainability of the coastal environment.

The Indonesian hospitality industry is currently facing a post-pandemic "profitability paradox," a phenomenon where increased occupancy rates do not guarantee a proportional increase in net profit margins due to persistent operational cost inflation. This study aims to evaluate operational cost efficiency strategies and their impact on profitability across three star-rated hotels with contrasting locational and market characteristics: @Hom Hotel Kudus (Central Java), Grand Verona Samarinda (East Kalimantan), and FUGO Hotel Banjarmasin (South Kalimantan). This research adopts a descriptive qualitative approach with a comparative multiple-case study design. Data were collected through in-depth interviews with top management, participant observation, and financial document analysis. The results reveal that geographical characteristics and market segments are the primary determinants in selecting efficiency strategies. (1) Hom Hotel Kudus, located in a secondary industrial area, implements Lean Operations strategies through workforce multi-skilling to address market price sensitivity. (2) Grand Verona Samarinda, in the East Kalimantan business hub, focuses on Supply Chain Engineering by localizing raw materials to mitigate high logistical costs. (3) FUGO Hotel Banjarmasin, in the lifestyle segment, adopts Technology-Driven Efficiency to suppress utility costs without degrading the guest experience. The study concludes that sustainable profitability is achieved not through aggressive cost-cutting, but through strategic cost management adaptive to local contexts. These findings provide a new managerial framework for the hospitality industry to shift from a revenue-centric orientation to value optimization.

This research aims to evaluate the effectiveness of Online Travel Agent (OTA) distribution channels in influencing room sales volume and net profit for hotels in Java. Although OTAs have become a primary distribution choice that successfully boosts sales figures, there is still a lack of research highlighting the impact on net profitability due to high commission costs.Using a quantitative associative method through panel data regression analysis, this study examines the causal relationship between the proportion of sales made via OTAs and two performance indicators over a two-year period (2021–2023). The primary findings reveal a dual effect:OTA Distribution Channels have a positive and significant influence on Room Sales Volume (supporting Hypothesis H1).Conversely, OTAs have a significant negative impact on Hotel Profit Margins (supporting Hypothesis H2), indicating a substantial financial trade-off.The contribution of this research is to provide balanced empirical evidence regarding volume gains versus margin losses resulting from OTA usage. The managerial implications suggested by these findings are that hotels need to implement distribution strategies focused on Net Revenue Management and channel mix optimization to achieve a balance between volume requirements and profitability.

This study aims to identify and minimize waste in the process of procuring Food & Beverage raw materials at Hotel PXY Jasa Bali using the Lean Inventory Management approach. Observations over one month showed that the total procurement cost reached 47% of the total revenue, exceeding the ideal limit of 35%. One of the main causes is the inefficient and lack of synchronization between divisions in the Rhapsody platform, which causes waste in the form of defects, delays, over-processing, and transportation. This study uses the Value Stream Mapping (VSM) method to map actual conditions and Process Activity Mapping (PAM) to identify the type of activity based on the waste category. In addition, root cause analysis is carried out using the Root Cause Analysis (RCA) approach. The mapping results showed that out of the total lead time of 598.44 minutes, only 278.49 minutes or 46.54% were value-added activities. This finding indicates that the procurement process is not yet efficient and needs optimization. Several recommendations were given to minimize waste, such as clearer division of tasks, improved communication with vendors, and the procurement of supporting facilities to reduce physical movement between divisions. The implementation of this lean service is expected to be able to increase the efficiency of the logistics process and reduce the company's overall operational costs.

This study analyzes the economic dynamics and development of the tourism sector in the Special Region of Yogyakarta (DIY) Province during the 2015–2024 period. The research employs a quantitative descriptive approach using secondary data obtained from the Central Bureau of Statistics (BPS). Data analysis is carried out through descriptive statistical methods and trend analysis to capture changes and patterns over time. The variables examined include regional economic growth, the number of tourist visits, road infrastructure development, labor absorption, and hotel occupancy rates across five districts/cities in the province. The findings indicate that the economy of DIY demonstrates relatively strong resilience in the post-COVID-19 pandemic period, supported by gradual recovery in tourism-related activities. The development and operation of Yogyakarta International Airport have significantly contributed to economic growth in Kulon Progo Regency, particularly by improving accessibility and investment opportunities. The tourism sector continues to serve as the main economic driver in the region, with tourist visits largely concentrated in Sleman Regency and Yogyakarta City, while Gunungkidul Regency shows considerable potential for nature-based tourism development. Overall, the study concludes that equitable infrastructure development and the strengthening of the service sector are crucial to ensuring sustainable and inclusive economic growth in the Special Region of Yogyakarta.

The commercial sector, especially the hospitality industry, is one of the largest consumers of electrical energy, with energy costs often ranking as the second highest operational expense. This study aims to conduct a specific Electrical Energy Audit in the Office Engineering unit of Aston Denpasar Hotel & Convention Center to optimize electricity usage and improve energy efficiency. The research applies a detailed audit approach with a focus on lighting systems and air conditioning (AC), which are major contributors to energy consumption. The initial stage involves calculating the actual Energy Consumption Intensity (IKE) in kWh/m²/month and comparing the results with ASEAN and SNI standards to determine the efficiency classification of the building. Data collection is carried out through direct field measurements as primary data, using instruments such as a Clamp Meter and Lux Meter. The expected outcome of this study is the identification of detailed Energy Saving Opportunities (ESO), along with the estimation of potential monthly energy cost savings and the calculation of the investment Payback Period.

Kyriad Hotel Arra Cepu is a star-rated hotel located in Blora Regency that plays an important role in supporting tourism activities, business travel, and the development of the local hospitality industry. Despite its strategic position, initial observations and discussions with hotel management revealed several challenges related to service quality, which has not yet fully aligned with current hospitality industry standards. These challenges include limited continuous staff training, inconsistencies between employee competencies and established standard operating procedures, and insufficient professional communication skills. In response, a community service program was developed in the form of competency-based training specifically tailored to the needs of Kyriad Hotel Arra Cepu. The program aims to enhance human resource quality through structured and intensive training aligned with the Indonesian National Work Competency Standards in the hospitality sector, covering Front Office, Housekeeping, Food and Beverage Products, and Food and Beverage Service. The training was implemented using a participatory and hands-on approach supported by ongoing coaching. Training materials included hotel hygiene and sanitation, excellent service practices, telephone operator etiquette, and basic English communication. This program provides direct benefits by improving employee competence, professionalism, and guest satisfaction, while also supporting the implementation of the Tri Dharma of Higher Education and strengthening collaboration between academia and the hotel industry. The expected outcomes include improved staff skills, higher service quality, and a replicable training model for similar hotels.

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.

The increasing volume of online hotel reviews provides valuable insights into customer perceptions but poses challenges for manual analysis due to its unstructured nature. This study aims to compare the performance of Recurrent Neural Network (RNN) and Bidirectional Encoder Representations from Transformers (BERT) in hotel review sentiment analysis. A total of 20,491 TripAdvisor hotel reviews were classified into three sentiment categories: negative, neutral, and positive. The research methodology includes text preprocessing, stratified data splitting, class imbalance handling using Random Over-Sampling, tokenization, and supervised model training. Model performance was evaluated using a confusion matrix and classification metrics. The results indicate that BERT outperforms RNN, achieving an accuracy of 80.54%, while RNN reached 62.21%. BERT demonstrated superior capability in capturing contextual and semantic information in hotel reviews. These findings suggest that transformer-based models are more effective for sentiment analysis of complex textual data in the hospitality domain and can support data-driven service improvement strategies.    

This study aims to evaluate the effects of profitability, leverage, liquidity, and cash-flow shocks on the financial distress of companies in the hotel, restaurant, and tourism subsector listed on the Indonesia Stock Exchange during the period 2021 to 2024. The research approach employed is quantitative, using logistic regression analysis. The data analyzed are secondary data obtained from the annual financial statements of the respective companies. The results of the study indicate that, simultaneously, the four independent variables significantly influence financial distress. However, based on partial testing, each variable, namely Return on Assets (ROA), Debt to Equity Ratio (DER), Current Ratio (CR), and cash flow shock, does not show a significant relationship with financial distress. These findings imply that the risk of financial distress in this industry cannot be explained solely through a single financial indicator; instead, a more holistic approach is required. This study provides essential contributions to both management and investors in assessing companies' financial condition and formulating appropriate strategic decisions.

Perhitungan daya dukung pondasi yang akurat menjadi aspek penting dalam memastikan stabilitas dan keamanan struktur bangunan secara keseluruhan. Penelitian ini bertujuan untuk membandingkan nilai daya dukung ultimit (Qu) dari pondasi bored pile dengan menggunakan empat pendekatan berbeda, yaitu perhitungan manual menggunakan metode Schmertmann & Nottingham, Mayerhoff (1976), software Allpile, serta hasil uji lapangan dengan PDA (Pile Driving Analyzer). Studi kasus dilakukan pada proyek pembangunan Gedung Fave Hotel yang terletak di Banyumanik, Semarang. Hasil analisis menunjukkan bahwa metode Schmertmann & Nottingham dengan nilai Qu tertinggi sebesar 282,25 ton. Sedangkan nilai terendah berasal dari hasil uji PDA 159,61 ton. Metode Mayerhoff (1976), memberikan nilai sebesar 170,30 ton, sementara Allpile menghasilkan nilai 160,79 ton. Selisih nilai ini disebabkan oleh perbedaan pendekatan dan asumsi yang digunakan oleh masing-masing metode. Secara umum, hasil PDA dianggap paling merepresentasikan kondisi aktual di lapangan karena merupakan hasil uji dinamis langsung pada tiang. Oleh karena itu, pendekatan manual dan software Allpile dapat dijadikan sebagai estimasi awal dalam tahap desain, namun tetap perlu divalidasi melalui pengujian lapangan untuk memperoleh hasil yang lebih realistis dan dapat diandalkan.

Proyek Trade Mall di Jabodetabek sebagai bagian dari bisnis properti merupakan proyek yang memiliki tingkat penyerapan pasar tertinggi diantara proyek properti komersial lainnya seperti apartemen, hotel, perumahan, kantor, dan industri. Tujuan dari penelitian ini untuk mengevaluasi strategi pra pengembangan proyek trade mall dalam rangka meningkatkan profitabilitas dan daya saing developer di wilayah Jabodetabek serta mengidentifikasi variabel-variabel yang menentukan tingkat profitabilitas dari pra pengembangan proyek Trade Mall, menyusun model system dynamics yang dapat menggambarkan pengaruh dari supply dan demand pengembangan proyek Trade Mall terhadap kinerja daya saing developer, membuat rekomendasi tindakan perbaikan terhadap penyebab terjadinya penurunan tingkat profitabilitas dan kinerja daya saing developer. Metode penelitian yang digunakan adalah analisis arsip dan survei. Kemudian data yang telah diperoleh dianalisa dengan menggunakan analisa statistik dan system dynamics. Hasil penelitian menunjukkan ada dua faktor utama yang berpengaruh terhadap tingkat profitabilitas proyek, yaitu harga jual dan tingkat penjualan, gap pertumbuhan Trade Mall yang diperoleh dari simulasi supply & demand. Serta rekomendasi tindakan perbaikan yang dilakukan terhadap penyebab penurunan profitabilitas dan daya saing developer.

This study aims to analyze the effectiveness of the STEM approach and the scientific approach in learning Trigonometry in terms of students’ mathematical problem-solving ability and self-efficacy. The research employed a quasi-experimental method with a nonequivalent comparison group design. The study population consisted of all Grade X MIPA students at MA Al-Ma’had An-Nur in the 2023/2024 academic year, with the sample taken from classes X MIPA 1 and X MIPA 2. Data collection instruments included pre-test and post-test assessments of mathematical problem-solving ability and a student self-efficacy questionnaire. Effectiveness criteria were based on post-test averages exceeding 75 for problem-solving ability and self-efficacy scores above 72, as well as improvements from pre-test results. Data were analyzed using the t-test at a 5% significance level to determine learning effectiveness in both groups. Differences in students’ initial conditions and treatment effects were examined using Hotelling’s T² and the N-Gain score test. An independent-sample t-test of N-Gain was used to compare the superiority between the two approaches. The results indicated that both the STEM and scientific approaches were effective in improving students’ mathematical problem-solving ability and self-efficacy. The STEM approach significantly influenced both variables and was superior in enhancing problem-solving ability, although not superior in improving students’ self-efficacy.

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 study aims to determine the effect of the application of PQ4R (Preview, Question, Read, Reflect, Recite, Review) learning strategies on the mathematical problem-solving ability and confidence of students at SMAN 1 Sembakung, Nunukan Regency. The background of this research is the low ability of students to solve mathematical problem-solving problems and their lack of confidence in facing academic challenges. The PQ4R strategy was chosen because it is considered to be able to encourage active student engagement, build deep understanding, and strengthen confidence through structured learning steps. This study uses a quantitative method with a quasi-experimental design of the pretest-posttest control group design. The research sample consisted of 73 students in grade XI who were divided into experimental and control groups at random. The research instruments include problem-solving ability tests and confidence questionnaires. The data analysis technique used t-test and MANOVA (Hotelling's Trace) after meeting the normality and homogeneity tests. The results showed that PQ4R learning strategies had a significant effect on students' mathematical problem-solving skills and confidence. The experimental group experienced a higher score increase than the control group. Thus, the PQ4R strategy can be an effective learning alternative to improve the quality of mathematics learning as well as students' affective aspects such as confidence.

This study aims to analyze the influence of the Problem-Based Learning (PBL) model assisted by e-LKPD on students’ problem-solving abilities and self-confidence in vocational high schools. Specifically, the objectives are: (1) to examine the simultaneous effect of the PBL model assisted by e-LKPD on both variables, (2) to determine its effect on problem-solving ability, and (3) to evaluate its effect on self-confidence. A quantitative approach with a quasi-experimental pretest–posttest control group design was applied. The population consisted of all 10th-grade students at SMK Negeri 1 Tarakan, while the sample was selected using purposive sampling, resulting in class X Marketing 1 (35 students) as the experimental group and class X Culinary 2 (34 students) as the control group. Research instruments included a problem-solving test and a self-confidence questionnaire. Hypothesis testing utilized Hotelling’s T² and independent sample t-tests. The findings showed that 97% of students in the experimental class met the Learning Objectives Mastery (KKTP), compared to only 18% in the control group. Improvement in the experimental group was categorized as high, whereas in the control group it was moderate. Self-confidence also increased significantly in the experimental group, with most students moving from low to high categories. Hotelling’s Trace (Fcount = 77.109, p < 0.001) and t-tests confirmed significant effects on both problem-solving (tcount = 11.657) and self-confidence (tcount = 8.140), proving that the PBL model assisted by e-LKPD effectively enhances students’ abilities and confidence.

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.