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All Journal Devotion: Journal of Research and Community Service Jurnal Ekonomi, Teknologi dan Bisnis Hospitality Management and Operations Journal
sagita, Ahmad bahar
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Astronomy Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Implementation Of Object-Oriented Programming With Pyqt: Development Of Calculation Application Elan Maulani, Isma; Azis, Irfan; Cahya, Melani Nur; Komarudin, Komarudin; sagita, Ahmad bahar
Devotion : Journal of Research and Community Service Vol. 5 No. 1 (2024): Devotion: Journal of Research and Community Service
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v5i1.679

Abstract

This practical report discusses the implementation of object-oriented programming using PyQt in developing calculation applications. The discussion includes application development steps, object structure, and responsive user interface integration. The development method used incorporates object-oriented programming concepts to increase modularity and maintainability of the code. The resulting calculation application is able to provide an interactive and efficient user experience. It is hoped that the results of this practicum can be a reference for students of object-oriented programming and application development using PyQt
The Role of Artificial Intelligence in Improving Customer Experience in The Global Hospitality Industry Padri, Abdul Robi; Sumiyati, Sumiyati; Fauziyyah, Ghina; Ridzki, Mohamad Maulana; Sagita, Ahmad Bahar
Hospitality Management and Operations Journal Vol. 2 No. 1 (2025): Hospitality Management and Operations Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/hmoj.v2i1.7

Abstract

Digital transformation in the hospitality industry has driven the adoption of artificial intelligence (AI) as a strategic tool in improving service quality and customer experience. This research aims to explore how AI technologies, such as chatbots, facial recognition, predictive analytics, and smart room control, are implemented in the context of hotel operations and their impact on guest perception and satisfaction. Using a descriptive qualitative approach, data was collected through in-depth interviews with hotel management, questionnaires to licensed employees, as well as direct observation at a leading international hotel. The results show that AI is able to accelerate service processes, improve operational efficiency, and provide personalized experiences that have an impact on increasing customer loyalty. However, the findings also reveal challenges such as lack of employee training, guest resistance to automated services, and ethical issues of data privacy. The implications of this study suggest the need for a hybrid service approach between AI and human labor, as well as stronger education strategies and data protection policies. This research contributes to a comprehensive understanding of the role of AI in the hospitality sector and informs the formulation of customer-oriented technology-based service policies.
An Analysis of the Relationship Between Government Spending and Economic Growth in Developing Countries: A Qualitative Analysis of Spending Size, Composition, and Fiscal Efficiency Nabila, Maulina; Dayuni, Dayuni; Sagita, Ahmad Bahar; Puspita, Gina; Saied, Muhammad
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 5 No. 2 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/80spg373

Abstract

The debate over the relationship between government spending and economic growth in developing countries is never over because the empirical findings are far from uniform. This article examines this relationship through a critical literature review enriched by descriptive analysis of secondary data from the World Development Indicators, the IMF's Fiscal Monitor, and World Bank reports and working papers. The focus of the analysis is placed on three dimensions: the size of spending, the composition of spending, and the efficiency of fiscal management. The results of the synthesis show that government spending does not work automatically as a growth engine. The size of the budget is important, but its influence is largely determined by the structure of spending, the quality of institutions, fiscal space, and the ability of the state to convert spending into physical capital and productive human capital. Public investment spending tends to have a more pronounced growth impact when efficiency is high, fiscal space is adequate, and projects are selectively selected. On the other hand, education and health spending more often shows a gradual impact, with long-term benefits that depend on the quality of services, rather than simply a nominal increase in spending. The main implication is that the fiscal agenda in developing countries should shift from simply enlarging the budget to improving the composition, governance, and effectiveness of public spending.  
Co-Authors Azis, Irfan Cahya, Melani Nur Dayuni, Dayuni Elan Maulani, Isma Fauziyyah, Ghina Komarudin Komarudin Nabila, Maulina Padri, Abdul Robi Puspita, Gina Ridzki, Mohamad Maulana Saied, Muhammad SUMIYATI SUMIYATI