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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) AMMA : Jurnal Pengabdian Masyarakat
Mifta Almaripat
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Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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Sales Data Classterization Analysis Using K-Means Method for Marketing Strategy Development Mifta Almaripat; Ahmad Faqih; Ade Rizki Rinaldy
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.792

Abstract

In the digital era, utilizing sales data is very important to support strategic decision making. This research aims to overcome the problems faced by 9Doors Store in optimizing marketing strategies and stock management. The main problem faced is the lack of in-depth analysis of existing sales data, which results in difficulties in formulating appropriate marketing strategies and efficient stock management. For this reason, this research applies the K-Means Clustering method to group products based on customer purchasing behavior characteristics. The data used includes product categories, selling prices, initial stock, number of products sold, and total sales obtained from 9Doors Store during the period March to September 2024. The method used in this research is Data Mining approach with K-Means algorithm, which is implemented using RapidMiner software. The data analysis process goes through Knowledge Discovery in Databases (KDD) stages, including data collection, data cleaning (preprocessing), data transformation, and data mining using K-Means. Cluster evaluation is done using Davies-Bouldin Index (DBI) to assess the quality of clustering results. The results of this study show that the division of sales data into three clusters provides optimal results with the lowest DBI value (0.106), which indicates efficient clustering. This finding identifies products with high, medium, and low sales levels, which can be used to formulate more targeted marketing strategies. With these results, Toko 9Doors can improve stock management and design more effective promotions based on better customer segmentation.
Pelatihan Penggunaan Smartphone dan Aplikasi Komunikasi Digital untuk Peningkatan Kompetensi Lansia Yudhistira Arie Wijaya; Riri Narasati; Mifta Almaripat; Mita Amelia
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 04 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Advances in digital technology have had a significant impact in various aspects of life, including for the elderly. However, limited digital knowledge and skills cause many elderly people to not be able to utilize technology optimally. This community service activity aims to improve the digital competence of the elderly through training on the use of smartphones and daily communication applications such as WhatsApp and Google Meet. The methods used include a participatory approach, direct assistance, and repeated practice of using digital applications in a friendly and fun atmosphere. The activity was carried out at Posyandu Lansia Kelurahan Jatimakmur, Bekasi, involving 30 elderly participants aged 60-75 years. The results of the activity showed a significant improvement in the participants' ability to use smartphones, access communication applications, and understand digital communication ethics. Evaluation was conducted through pre-test and post-test, as well as direct observation during the training. The majority of participants stated that they felt more confident and motivated to continue learning to use technology. Supporting factors for the success of this activity included the personal approach, the patience of the facilitators, and the use of visual and practical methods. Meanwhile, the challenges faced included participants' physical limitations, such as visual and hearing impairments, and memory limitations. This activity makes a real contribution to the digital empowerment efforts of the elderly, and opens up opportunities for the development of similar programs in other regions. Hopefully, this kind of training can be the first step towards comprehensive digital inclusion for all levels of society.
Co-Authors Ade Rizki Rinaldy Ahmad Faqih Mita Amelia Riri Narasati Yudhistira Arie Wijaya