Publication Search

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 examines the application of Walter Murch's Rule of Six as a post-production decision-making framework for the Instagram Reels content on the Tenchi Tirtayasa account. This project addresses the challenge of bridging the gap between the image of a premium restaurant and the necessity to convey a warmer, more accessible brand experience through short-form videos. A descriptive project-based methodology was employed, involving the observation of the production process, documentation of the editing workflow, analysis of Episode 3 of the Reels series, and review of Instagram Reels Insights as the data. The analysis reveals that the six priorities of editing—Emotion, Story, Rhythm, eye-trace, Two-dimensional screen space, and Three-dimensional action space—assisted the editor in selecting shots, organizing visual sequences, managing pacing, and maintaining spatial continuity in the vertical 9:16 format. Episode 3 garnered 9,132 Views, 229 Likes, 10 Comments, 9 Shares, and a 93.4% non-follower reach rate. These findings suggest that a Rule of Six-based workflow can enhance soft-selling Storytelling, reinforce visual consistency, and improve the communicative value of restaurant reel content.

This study aims to determine the effect of product quality and service quality on consumer purchasing decisions, both partially and simultaneously, at Chickenday Restaurant Trenggalek. The method used is a quantitative approach with data processing in numerical form to objectively test the relationship between variables. The research was conducted at Chickenday Restaurant, located on Jl. Soekarno Hatta No. 20 Trenggalek. The research population consists of all consumers during the period of May–June 2025, the exact number of which is unknown. The sampling technique utilized probability sampling with a simple random sampling method, resulting in 96 respondents based on the Lemeshow formula. The data include primary data through questionnaires and observations, as well as secondary data from various sources. Data analysis was performed using multiple linear regression, t-test, and F-test. The results indicate that product quality and service quality have a positive and significant effect on purchasing decisions, both partially and simultaneously, with service quality being the more dominant variable.

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 role of accounting in supporting the smooth execution of management tasks is very prominent, particularly in the planning and control functions. Accounting is able to provide financial information that is presented in the form of financial statements. Financial statements are considered fairly presented when they are prepared in accordance with the provisions of PSAK; the characteristics of such financial statements must be understandable, relevant, reliable, and comparable. In the preparation of financial statements, there are rules for recording transactions, which are known as the double-entry bookkeeping system. This system is commonly and widely used in the preparation of financial statements. However, financial statements in restaurant businesses in the city of Surabaya are prepared using a single-entry bookkeeping system. Theoretically, when financial statements are prepared using a single-entry system and the existing records do not show a complete summary of transactions, many specific difficulties will be encountered in preparing accurate financial statements. In addition, there is no direct way to determine whether the balances are correct, thus posing the risk of bias, inaccuracy, and misinterpretation, resulting in financial statements that do not comply with financial accounting standards. This condition motivated the author to conduct research on restaurant businesses in the city of Surabaya. In this study, the researcher restated the financial statements of restaurant businesses in Surabaya for the years 2023, 2024, and 2025 using the double-entry system, and presented them in accordance with the provisions of PSAK No. 1 concerning the Presentation of Financial Statements. 

Trademarks not only serve as product identities but also represent the reputation and trust built by a company over the long term. In increasingly fierce global competition, legal protection for brands, especially well-known brands, is crucial. This study examines the legal implications of alleged trademark infringement by the Louis Vuitton Dak restaurant in Korea, which resembles the luxury brand Louis Vuitton. The purpose of the study is to analyze the application of Law Number 20 of 2016 concerning Trademarks and Geographical Indications and to assess the effectiveness of law enforcement against such violations. The method used is normative juridical with a statutory and conceptual approach. The analysis focuses on similarities in principle, the element of bad faith in trademark registration, and violations of exclusive rights to well-known brands. The results of the study indicate that although regulations have provided protection, law enforcement in practice still faces various obstacles and has not fully created a deterrent effect.

The obligation to consume halal food is a fundamental right of Muslim consumers, guaranteed by Islamic principles and Indonesian positive law. However, in practice, many food business operators still distribute products that have not obtained halal certification, resulting in legal uncertainty and potential material and immaterial losses for Muslim consumers. This study aims to analyze the forms of legal protection available to Muslim consumers regarding food products that are not halal-certified and to examine the responsibility of business actors as well as the role of the government in ensuring halal food compliance in Indonesia, using Sushi Go Restaurant as a case study. This research applies a normative juridical method with a statutory and case approach, supported by library research of primary, secondary, and tertiary legal materials. The findings indicate that legal protection for Muslim consumers has been comprehensively regulated through Law Number 8 of 1999 on Consumer Protection and Law Number 33 of 2014 on Halal Product Assurance. Nevertheless, the implementation of these regulations remains inadequate, particularly in terms of supervision and law enforcement against non-compliant business actors. The absence of halal certification and insufficient disclosure of halal information at Sushi Go Restaurant potentially violates Muslim consumers’ rights to legal certainty and accurate information. Therefore, stronger regulatory enforcement, improved supervision, and increased awareness among business actors and consumers are essential to ensure effective legal protection for Muslim consumers.

This study aims to design, implement, and compare the performance of the Backpropagation algorithm from Artificial Neural Networks and the Seasonal Autoregressive Integrated Moving Average (SARIMA) model in predicting the optimal daily rice requirement at Grillme Restaurant in Pontianak. The main problem faced by the restaurant is the uncertainty in determining the required daily rice stock, which periodically results in either understocking (shortage) or overstocking (wastage), leading to operational losses. To address this, the study utilizes historical daily rice sales data from January 2023 to April 2025 as the database for training and testing both predictive models. The SARIMA approach is employed to capture time series components (trend and seasonality), while Backpropagation is utilized to model non-linear patterns. Comparative test results indicate that the SARIMA model achieved superior accuracy compared to the Backpropagation model. This is confirmed by the Mean Absolute Percentage Error (MAPE) value of the SARIMA algorithm being 17.35%, which is lower than the MAPE value of Backpropagation at 19.62%. The MAPE values obtained by both models demonstrate good predictive capability, but it is concluded that SARIMA is more recommended for a more efficient and planned management of rice stock at Grillme Restaurant in Pontianak.