JURNAL COMPUTECH & BISNIS
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    31 research outputs found

    Sentiment Analysis Of Spotify App In Playstore Using Classification Method

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    Spotify is a globally renowned music streaming program.  The program receives a multitude of ratings, both favorable and unfavorable, on the Google Play Store from various users.  This study intends to evaluate the sentiment of user evaluations for the Spotify application employing various classification techniques, including Logistic Regression, Random Forest, Support Vector Machine (SVM), C4.5, and Extreme Gradient Boosting (XGBoost).  Review data was acquired via web scraping methodologies using the Google Play Scraper API.  After this, text preparation was conducted to sanitize the text, enabling the execution of the data.  Sentiment analysis was employed to ascertain whether a text expresses favorable or unfavorable opinions.  The Random Forest approach, which has been demonstrated to yield optimal outcomes, was employed in this investigation.  Testing was performed using training and test data ratios of 80:20%, 70:30%, and 60:40% across hundreds of review datasets.  The Random Forest approach, utilizing an 80%:20% data split ratio, produced a precision of 82%, recall of 81%, F1-Score of 81%, and accuracy of 81%, according to the test findings

    Smart Village Masterplan in Samida Tourism Village, Garut District Using Ward and Peppard Framework Method

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    The Samida Tourism Village in Garut Regency has rich natural and cultural potential, including the creative bamboo crafts produced by local artisans, which include household items and accessories made from bamboo. It provides several educational tourist packages, including bamboo tourism, planting education, rice field plowing education, and fish farming education, along with lodging alternatives such as homestays, villas, camping sites, and glamping. Moreover, it includes swimming pool tourism, outbound activities, and cafés. Nonetheless, these resources have yet to be adequately optimized. Comprehensive planning through a Smart Village Master Plan is essential to improve competitiveness and the quality of tourism services. This study will develop a Smart Village Master Plan for the Samida Tourism Village utilizing the Ward and Peppard Framework, which is recognized for its strategic planning in Information Systems and Information Technology (IS/IT). The Ward and Peppard Framework offers a structured methodology synthesizing business environment analysis, business strategy, and IT strategy to guarantee coherence between business goals and IT expenditures. The implications of this research provide a strategic guide for designing and implementing a smart village masterplan that leverages natural and cultural potential, such as bamboo crafts and educational tourism packages. The application of the Ward and Peppard method is expected to create synergy between business objectives and IT expenditures, thereby enhancing the efficiency of tourism services

    Business Network Analysis in Increasing Sales Volume in Rengginang Cililin WestBandung District

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    This study aims to examine the business network\u27s impact on the sales volume of rice crackers at a specific production house in Cililin. The study utilizes a qualitative research methodology with a descriptive model, including interviews, observations, and documentation as research methods. The research findings indicate that a rice cracker production facility in Cililin has established a robust production network, with several suppliers providing raw materials. Additionally, the facility has developed a marketing network by actively participating in the trader community in West Bandung. Furthermore, the facility has formed cooperative partnerships with different supplier stores to facilitate distribution. The rice cracker production plant in Cililin has effectively enhanced its annual sales volume through its established business network while selling items exclusively within the local vicinity. Hence, it is recommended that the production company in Cililin enhance its commercial network to broaden prospects, resulting in a surge in sales volume and profits. This entails expanding corporate networking to expand the market reach and optimizing management systems for a more streamlined firm operation

    The Influence of Product Quality and Service Quality on Consumer Satisfaction at a Restaurant in Jakarta

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    The objective of this study is to gather data, facts, and information about the quality of the product and service at a restaurant in Jakarta, analyze it, and draw conclusions in order to determine the impact of product and service quality on consumer satisfaction at the restaurant. The research was meticulously conducted over two months, commencing in October 2018, with the target population being the consumers of Nasi Kebuli Kebun Nanas Restaurant in Jakarta. A total of 94 individuals were involved in this comprehensive study, which employs descriptive research methodology. This study employs descriptive research methodologies. Descriptive research examines current facts pertaining to a specific problem obtained from a representative sample to examine hypotheses or address inquiries pertaining to the present condition of the subject being investigated. The variables Product Quality and Service Quality, which are crucial in understanding consumer satisfaction, are considered independent variables, denoted as X1 and X2, respectively. User Satisfaction is the dependent variable, denoted as Y. The calculation of the coefficient of determination R2 (R squared) provides a measure, expressed as a percentage, that describes the extent to which the independent variables, namely product quality (X1) and service quality (X2), contribute to the variations in consumer satisfaction at the Nasi Kebuli Kebun Nanas Restaurant in Jakarta. The variable (Y) accounts for 58.6% of the total, while the remaining 41.4% is attributed to other factors that are analyzed and also impact employee performance

    Exploring of Resilience Skill as Competence on Employee Contextual Performance

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    The research explored the dimensions of resilience skill as a competence on employee contextual performance. To explore the dimensions of resilience skill as a competence on employee contextual performance, the author employed a survey approach among retail employees in Bandung. The sample consisted of 74 employees who willingly participated in the study. The model\u27s predictions were tested using non-parametric PLS-SEM, preceded by validity and reliability testing of the research instruments. The results of exploring the dimensions of resilience skill as a competence on employee contextual performance revealed that all dimensions significantly impacted employee contextual performance. It is essential to acknowledge the limitations of this research, which include the focus on resilience as a competence and the use of a limited sample size through a cross-sectional survey. These limitations suggest that the findings may only be generalizable to some contexts. Further research is needed to explore other competencies and consider longitudinal studies for a more comprehensive understanding of the relationship between resilience, self-efficacy, and contextual performance

    Measurement Of The Success Of Accurate-5 Accounting Application Implementation In Human Organization Technology (HOT)-FIT Model Using Smartpls Software: Case Study Of D3 Accounting Computerization Students Of STMIK Mardira Indonesia Bandung

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    The accounting application Accurate-5 provides benefits, including exceptional accuracy, ease of use, multicurrency functionality, and language support (English and Indonesian), appealing to users.  Organizations strive to optimize the utilization of application systems to their objectives.  Consequently, evaluating user preparedness is essential.  The Human Organisation Technology (HOT)-FIT model elucidates critical elements of application implementation and assesses user preparedness.  This paradigm comprises four elements: individuals, organization, technology, and the equilibrium of these elements, offering a straightforward yet thorough methodology. This study uses the HOT FIT methodology to evaluate the effectiveness of Accurate-5 implementation among D3 Accounting Computerisation students at STMIK Mardira Indonesia.  This method encompasses seven attributes: System Quality, Information Quality, Service Quality, System Users, User Satisfaction, and Benefits.  A questionnaire was administered to 58 students from the 2022 and 2023 cohorts.  The research findings indicate that Cronbach’s alpha and composite reliability values exceed 0.7, with an SRMR of 0.091 (below 0.10) and an NFI of 0.436 (below 0.9), suggesting that the model adequately fits the data.  Hypothesis analysis identifies four significant impacting variables, whilst four others exert no impact

    Analysis of the Influence of Online Transportation Application Usage Using the EUCS Model in Measuring User Satisfaction in Bandung City: Case Study: InDrive Users

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    The swift advancement of technology has profoundly influenced the transportation industry, especially in digital transportation services. InDrive provides a Peer-to-Peer transportation service for passengers, wherein travel conditions are established through agreements between passengers and drivers. This study seeks to assess user happiness with the InDrive application in Bandung utilizing the End User Computing Happiness (EUCS) model. A quantitative methodology was utilized to gather data via online questionnaires from a sample of 201 active InDrive customers in Bandung who have utilized online transportation services. The hypotheses were tested using SEM-PLS analysis with SmartPLS 3.0 software. The findings indicate that four factors—content, Accuracy, Ease of Use, and Timeliness—positively and significantly affect user satisfaction. One of the five proposed hypotheses was rejected: the Format variable had no significant impact on user satisfaction, evidenced by a t-statistic of 0.701, below the t-table value of 1.972, and a p-value of 0.484, surpassing the significance threshold of 0.05. This research highlights the necessity to improve the aspects that influence user happiness. Enhancing Content, Accuracy, Usability, and Timeliness will enable InDrive to improve service quality and user experience. The minimal influence of the Format variable indicates a necessity for additional research, offering critical insights for players in the online transportation industry to enhance their services and align more closely with user expectations

    Strategies in Improving Business Networks in Fried Banana Culinary Businesses

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    The fried banana culinary business is the focus of this research for business strategy, with an emphasis on product quality, menu innovation, and digital marketing strategy. Maintained product quality, such as distinctive taste and visual appearance, influences consumers\u27 positive preferences, according to sensory evaluation. The case study shows that menu innovation, especially in terms of variations in taste and presentation, is the key to the success of the fried banana culinary business. It is proven that digital marketing strategies such as special promotions and an active presence on social media can increase visibility and sales. The integration results emphasize that success in this industry requires a combination of consistent high-quality products, continuous innovation and the use of smart digital marketing strategies. The discussion acknowledges study limitations such as sample size and geographic scope, but also emphasizes the relevance of the results to the existing literature. So, to achieve long-term success in the dynamic fried banana culinary industry, the combination of these important components provides a strong foundation. They suggest maintaining product quality standards, developing an ever-changing menu, and using a more sophisticated digital marketing approach. To gain a broader understanding, further research can expand the geographic scope and involve more types of culinary businesses

    The Use of C4.5 Algorithm for Classification of New Student Admissions in Vocational High Schools: Case Study: Piramida Rancaekek Vocational High School

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    The New Student Admission is a mandatory process conducted by all educational institutions to maintain the continuity of student cohorts within the educational framework.  At Vocational High School Piramida, The New Student Admission process adheres to a traditional methodology, resulting in subjective and protracted selection procedures.  Consequently, the author employs the C4.5 algorithm as a classification technique that produces decision trees from potential student data.  The created system is intended to manage The New Student Admission process with greater efficiency and objectivity.  This study utilizes descriptive analysis, and the system development adheres to Object-Oriented Software Engineering (OOSE) principles.  The system architecture employs the PHP programming language in conjunction with the Laravel framework and a MySQL database.  This study demonstrates that utilizing the C4.5 algorithm can enhance the efficiency and effectiveness of the student selection process, reduce errors, expedite data administration, and lead to a more objective student selection process.  The method enhances information accessibility for prospective students, consequently augmenting its attractiveness to candidates

    Implementation Of Information System for Shift Scheduling and Payroll Management at Mang Jana Rice Store

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    Shift planning and payroll management in small and medium-sized enterprises (SMEs) often face inefficiencies and inaccuracies due to manual processes. This research focuses on the implementation of an information system to overcome this challenge at Mang Jana Rice Shop, Bandung. The system aims to automate shift planning and payroll calculation, ensuring accuracy and operational efficiency. Using the case study method, this research involves the phases of needs analysis, design, development, testing, and implementation of the system. The resulting system integrates shift planning with payroll management, reducing payroll errors and optimizing employee scheduling. The system has been tested and evaluated, showing significant improvements in efficiency and user satisfaction. This research contributes to the digital transformation of SMEs by providing practical solutions for managing employee tasks. Further developments, such as mobile integration and advanced attendance tracking, are recommended to improve usability and functionality

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