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All Journal International Journal Software Engineering and Computer Science (IJSECS) Jurnal Pengabdian Nasional (JPN) Indonesia
Sibarani, Julvan Marzuki Putra
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Computer Science & IT Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Implementasi Platform Edukasi Pada Klinik Medikasih Pondok Kelapa Jakarta Timur Akbar, Yuma; Maulana, Rizki; Ramadhan, Muhammad Arya; Sibarani, Julvan Marzuki Putra
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 5 No. 2 (2024): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v5i2.680

Abstract

Medikasih Clinic, which is located in Pondok Kelapa Village, Duren Sawit District, East Jakarta City, Special Capital Region of Jakarta, currently relies on a paid platform to manage clinic operations. However, there is no specific health education platform available for patients/customers, and the importance of improving the quality of health services at this clinic is highly recognized. To overcome these challenges, the service team plans to launch a web-based health education platform. This platform aims to support increased patient participation and health literacy by presenting health information from various medical sources. Based on the analysis of popular medical record diagnoses at Medikasih Clinic, we are determined to provide users with easy and reliable access to understanding health conditions, preventive measures, and healthy lifestyle practices. In conclusion, the development of this platform is a progressive step to create a positive impact. A focus on increasing health literacy and patient participation will create a society that is more informed and involved in personal health management. Our recommendation is to engage health experts and specialists to contribute educational content, ensuring the accuracy and reliability of the information presented
Implementation of RFM Analysis to Enhance Sales Patterns of Food and Beverages at Bonjour Café and Resto Using the Apriori Algorithm Sibarani, Julvan Marzuki Putra; Akbar, Yuma; Sutisna; Setiawan, Kiki
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3073

Abstract

The rapid growth of the culinary business has made business competition in this field increasingly tight, so a strategy is needed to increase food and beverage sales patterns. Bonjur Cafe Resto serves many food and beverage menus, but business actors need to try to produce product innovations in order to provide satisfactory service to customers. In this condition, a data processing technique is needed to determine customer segmentation and menu recommendations at Bonjur Cafe Resto. The analysis method used is RFM Analysis by analyzing customer behavior, analyzing purchase transaction data consisting of Recency Frequency Monetary (RFM) attributes and data mining techniques with the Apriori algorithm, where this algorithm is used to determine the most frequently appearing data set (frequent itemset). The results of this study are grouped into five categories of customers based on their purchasing behavior and association rules are formed with predetermined parameters, support 28% and confidence 70%. This can later be a recommendation for a menu combination from the data that has been collected and applied using the apriori algorithm so that it is expected to be used for service evaluation and be able to increase customer satisfaction so that Bonjur Cafe Resto can develop better
Co-Authors Akbar, Yuma Ramadhan, Muhammad Arya Rizki Maulana, Rizki Setiawan, Kiki Sutisna