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Komparasi Penerapan Algoritma C4.5 dan Naïve Bayes untuk Ketepatan Waktu Pengiriman Barang Pada PT. Rtrans Logistik Artamandiri Azzahra, Yasmin Aulia; Akbar, Yuma
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.v5i3.1003

Abstract

The logistics industry faces significant challenges in maintaining the punctual delivery of goods, which is a critical factor in enhancing customer satisfaction and reducing operational costs. This research aims to compare the effectiveness of the C4.5 and Naïve Bayes algorithms in analyzing the factors that influence delivery punctuality at PT. Rtrans Logistics Artamandiri. A dataset comprising 1,000 shipping records and 13 relevant attributes was utilized to assess each algorithm’s predictive performance in supporting decision-making processes related to delivery efficiency. The findings reveal that the C4.5 algorithm achieves a higher accuracy of 95.00%, compared to the Naïve Bayes algorithm, which reached an accuracy of 91.00%. Furthermore, this study highlights the importance of selecting the appropriate algorithm in logistics management to enhance operational efficiency and customer satisfaction. The results of this research are expected to provide a foundation for strategic decision-making in the field of goods delivery, particularly in optimizing delivery timeliness.
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