Publication Search

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 aims to examine the application of heart-centered communication based on Nonviolent Communication (NVC) Theory in interactions between employees and guests at the Masainn Hotel, Kuta, Bali. NVC, developed by Marshall Rosenberg, stresses empathetic engagement built on four core components: observation, feelings, needs, and requests. Using a descriptive qualitative approach, data were collected through in-depth interviews with guests and direct field observations of daily service interactions. The findings indicate that employees consistently apply empathy-driven communication by offering warm greetings, attentive service, and genuine emotional presence. These behaviors help create a family-like environment that makes guests feel comfortable and emotionally connected to the hotel. Notably, one guest reported returning to the hotel for three consecutive years, having been introduced by a friend who has been a loyal customer for nine years. This demonstrates that NVC-based communication contributes significantly to guest satisfaction, trust, and long-term loyalty. Furthermore, the study highlights the strategic role of emotional intelligence and compassionate communication in shaping service quality within the hospitality industry. By integrating NVC principles into daily service practices, hotels can foster stronger interpersonal relationships, enhance guest experiences, and build sustainable customer retention.

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.

The high consumption of coffee as part of people's lifestyle and the dominance of Americano and Cappuccino variants in sales at Roost Restaurant necessitate an analysis of consumer assessments of these two beverages. Therefore, this study aims to determine consumer assessments of the popular Americano and Cappuccino coffee beverages at Roost Restaurant at The Nest Hotel Nusa Dua. This study uses quantitative descriptive analysis techniques with data collection techniques through documentation and questionnaires distributed to 82 respondents. Consumer assessments are analyzed based on five indicators, namely taste, aroma, balance, presentation, and price. The results show that all indicators for both coffee beverages are in the high category, meaning that consumer assessments of Americano and Cappuccino are good in all aspects. The indicator with the highest rating for Americano and Cappuccino is presentation, while the indicator with the lowest rating for Americano and Cappuccino is taste. These findings indicate that although consumer ratings are generally good, improvements in taste, especially for Americano, are still needed to enhance consumers' positive perceptions of the products served.

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.    

The hospitality sector faces major challenges, including fierce competition, low occupancy rates, and high operating costs, especially post-COVID-19 pandemic. This article examines how adaptation strategies, particularly through digital investments, affect customer satisfaction and hotel occupancy rates. This study uses a mixed method approach, combining quantitative and qualitative methods. Qualitative data was collected through in-depth interviews with managers, staff, and guests at five hotels in Semarang, Indonesia, to identify key factors for successful adaptation. Qualitative data are analyzed using MAXQDA software. Quantitative data were analyzed by multiple regression. The results show that investment priorities are a key driver of successful adaptation, although supporting factors such as improved facilities, quality of service, and the involvement of all personnel. Quantitative findings show that hotel adaptation strategies significantly affect customer satisfaction (influence of 47.10%) and occupancy rate (influence of 38.40%). Digitalization enhances operational efficiency, allowing staff to focus on personal interactions. Technologies like AI-based recommendations and mobile check-in directly improve the overall guest experience, correlating with loyalty. The conclusion of the study is that strategic digital investments, improved service quality and active staff engagement, are key to improving customer satisfaction, optimizing occupancy rates, ultimately, driving hotel revenue growth in the post-pandemic era.

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.

Kegiatan ini merupakan bentuk implementasi peran serta dosen dan akademisi dalam memberikan kontribusi nyata kepada masyarakat, khususnya dalam membantu menyelesaikan permasalahan teknis yang timbul akibat dampak pembangunan. Melalui pendekatan teknik sipil, kegiatan ini bertujuan untuk memberikan informasi yang akurat dan terukur mengenai estimasi biaya perbaikan rumah warga yang terdampak dari pembangunan Hotel Sato, serta menjadi dasar pertimbangan bagi berbagai pihak dalam pengambilan keputusan yang adil dan bijaksana. Hasil perhitungan total Rencana Anggaran Biaya (RAB) untuk Rumah sebelah kiri Hotel Sato dan Rumah sebelah belakang Hotel Sato sebesar Rp 662.491.452

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 analyze the strategies implemented by Hotel Abadi in Serang City to maintain its image and reputation amidst the increasingly competitive hotel industry and pressures caused by the COVID-19 pandemic. A descriptive qualitative approach was used with a SWOT analysis technique to identify the strengths, weaknesses, opportunities, and threats facing the hotel. The results show that Hotel Abadi still relies on the strength of social relationships and loyalty of existing customers as reputation capital, but has not been able to manage its image comprehensively in accordance with the principles of image management theory. The communication strategies used are still conventional, such as banners and direct promotions, and have not yet touched on the realm of digital branding and professional management of customer feedback. On the other hand, the threat from new, more modern hotels that are more adaptive to technological developments is an urgent external challenge that requires a strategic response. Hotel Abadi must also pay more attention to service quality, not only from the physical side but also the overall customer experience. Given the rapid development of technology, management needs to formulate a more targeted and effective digital communication strategy to reach a wider audience through social media and websites. Hotel Abadi is advised to undertake a strategic transformation that is not only promotion-oriented, but also includes strengthening brand identity, improving service quality based on customer needs, and structured reputation management with an image management approach.

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.

Cash receipts represent one of the essential components for the hospitality industry. Hotels generate revenue primarily through room rentals, the use of available facilities, as well as the sale of food and beverages provided in their in-house restaurants. This study aims to understand how the internal control system is implemented in managing cash receipts and verifying invoices at Hotel XYZ. This research adopts a qualitative method with a descriptive analytical approach. The descriptive analysis in this study involves presenting data in the form of verbal descriptions, images, or graphics. Based on the analysis using the COSO framework, the results indicate that elements such as the control environment and control activities have been implemented effectively and optimally. However, the analysis also reveals that the risk assessment component within the cash receipt process has not yet been fully optimized, indicating a need for additional training and improvement in that 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.