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All Journal Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia
Hartinah, Suci Sugih
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Computer Science & IT Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Pemodelan Data Mining Transaksi Penjualan Menggunakan Algoritma Apriori (Studi Kasus: Kedai Ngodeng & Smoothies) Hartinah, Suci Sugih; Sugiyono
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
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/jimik.v5i3.992

Abstract

The role of UMKM is very large in the growth of the Indonesian economy, Kedai Ngodeng & Smoothies, as one of the UMKM that is active in the food and beverage industry. This shop has not made maximum use of sales transaction data. The transaction data is only used as an archive and is not used to organize sales strategies. In this research, the method used is the a priori algorithm to determine the relationship between one product item and other product items so that it can be used as a promotional package or bundling to increase sales profits. The data used is sales transaction data for the Ngodeng & Smoothies shop from January to May 2024. The research began with initial data collection, followed by data description and evaluation of data selection. After that, attribute selection is carried out. The CRISP-DM method is applied in this research which includes six stages, namely business understanding, data understanding, data preparation, modeling, evaluation and dissemination. Based on the results of the research, there are 95 Association Rules based on previously determined parameters, namely the minimum support value is 50% and the minimum confidence is 90%. One of the rules that was formed is that Smoothies Mangga Large, Twister, Kembang Cumi --> Odeng Spicy has a confidence value of 100%. The information obtained can provide important insights into customer preferences and can be used to design more effective product bundling promotions.
Monitoring Data Nilai Gizi Balita menggunakan Tableau Public (Studi Kasus : Posyandu Sedap Malam) Akbar, Yuma; Azzahra, Yasmin Aulia; Hartinah, Suci Sugih; Arfadhillah, Zahra
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.v5i2.674

Abstract

In Indonesia, there are still toddlers with poor nutritional status. Nutrition is food substances needed for the development, growth, and health of a person's body. Toddlers who experience nutritional problems will have an impact on their growth and development, be susceptible to disease, and can even result in death in children under five. Children's growth and development are monitored regularly to detect potential problems early. Utilizing a community-based health system such as Posyandu is the most important key to improving the quality of children's growth and development. Monitoring of children's growth and development in Indonesia is carried out by measuring body weight every month at Posyandu with the Healthy Way Card (KMS) as a supporting tool. Through KMS, growth and development disorders in children can be identified early and appropriate steps can be taken to correct these problems. The Berbabis Tablue Posyandu Service Analysis Information System can help monitor data and information on the nutritional status of each child. The results of this paper show that the use of Tableau in analyzing data on the nutritional status of toddlers can provide a comprehensive and in-depth picture. Interactive visualization allows users to explore data directly, identify patterns, and quickly retrieve important information. With visualization, posyandu cadres can make decisions regarding toddler nutrition programs
Co-Authors Akbar, Yuma Arfadhillah, Zahra Azzahra, Yasmin Aulia Sugiyono