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All Journal Jurnal Teknologi dan Manajemen Informatika JOIV : International Journal on Informatics Visualization JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Maukar, Anastasia L
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering

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Analysis of Restaurant Ordering Patterns Using Apriori Algorithm Marisa, Fitri; Badrussalam, Nanda; Ahmad, Sharifah Sakinah Syed; Vitianingsih, Anik Vega; Maukar, Anastasia L
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 2 No. 2 (2025): June
Publisher : Lumina Infinity Academy Foundation

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This study implements the Apriori algorithm to analyze ordering patterns in home-based restaurants, specifically Dapur Mb Yani. Sales transaction data for three weeks shows that the Geprek Sambal Merah, Geprek Sambal Ijo, and Ayam Crispy menus are the most frequently ordered items, both individually and in combination. The combination of Geprek Sambal Merah, Ayam Crispy, and Es Teh has a high association value, making it a candidate for bundling promotions, while the strong relationship between Geprek Sambal Merah and Geprek Sambal Ijo opens up opportunities for special offers involving both menus. These results help restaurant managers design more effective promotional strategies, manage ingredient stocks efficiently, and improve customer experience. The application of the Apriori algorithm proves its relevance in supporting data-based decisions, especially for small businesses, as well as opening up opportunities for further development in the culinary industry.
Data Mining Application for Classification of Online Transportation Customer Satisfaction Using C4.5 Algorithm Wardhani , Arie Restu; Irawan, Ryan Avrilio; Marpaung, Fhadillah Ain; Saputra, Idris Ivan; Maukar, Anastasia L
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 1 No. 1 (2024): February
Publisher : Lumina Infinity Academy Foundation

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In the era of increasing business competition, transportation companies are required to enhance the efficiency and effectiveness of their services. One method that can be employed to optimize fleet management is through Data Mining analysis. This study focuses on optimizing Ojek online transportation services using the C.4.5 Algorithm method. The aim of this research is to group customers and areas based on service demand patterns, thus improving fleet distribution and reducing waiting times. The data used in this study includes location, demand, and trip frequency information. The analysis results show that the C.4.5 algorithm method effectively groups the data, providing optimal fleet distribution and enhancing service performance. This research demonstrates that applying data mining through the C.4.5 algorithm method can be an effective strategy for improving management and operational efficiency in Ojek online transportation services, offering competitive advantages in service efficiency and customer satisfaction.
Co-Authors Agustinus Noertjahyana Ahmad, Sharifah Sakinah Syed Anik Vega Vitianingsih Araujo, Aprilio Demetrius De Badrussalam, Nanda Bura, Audyel Umbu Handajani, Endah Tri Esti Irawan, Ryan Avrilio Istiadi Ladopurab, Bartolomeus Wadan MARIFANI FITRI ARISA Marpaung, Fhadillah Ain Nahak, Redemtus Saputra, Idris Ivan Un, Fransiskus Deni Wardhani , Arie Restu