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Prediksi Pelanggan Loyal Menggunakan Metode Naïve Bayes Berdasarkan Segmentasi Pelanggan dengan Pemodelan RFM Ni Wayan Wardani Wardani; Diah Juniari Arnidya; I Nyoman Agus Suarya Putra; Ni Made Mila Rosa Desmayani; Putu Gede Surya Cipta Nugraha; Eddy Hartono; Gede Surya Mahendra
Jurnal Manajemen dan Teknologi Informasi Vol. 12 No. 2 (2022): Jurnal Manajemen dan Teknologi Informasi
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.7178249

Abstract

Increasingly fierce market competition has encouraged companies to strive for better business, and companies are expected to change their perspective from a product-oriented approach to a customer loyalty-focused approach. Customers are the most valuable asset in running a business. Therefore, loyal customers need to be accurately predicted or to know the level of accuracy in order to help in the decision-making process related to the problem by applying data mining to find patterns hidden in the big data used. The implementation of data mining to predict loyal customers using the Naïve Bayes method based on customer segmentation with RFM modeling can be done well by utilizing sales transaction data. The customer segmentation process is needed to group customers who have similar characteristics by using the RFM model and then produce ten segments. Naïve Bayes is used to forming loyal customer prediction models and the evaluation results of the models that have been tested, namely accuracy of 97.27%, precision of 100%, and recall of 96.98%.
PELATIHAN DAN PENDAMPINGAN PENGGUNAAN TEKNOLOGI INFORMASI UNTUK PENINGKATAN KAPASITAS PRAJURU DESA ADAT DI BALI Ni Wayan Wardani; I Putu Agus Eka Darma Udayana; Komang Redy Winatha; I Putu Yoga Indrawan; Putu Gede Surya Cipta Nugraha; Eddy Hartono; I Nyoman Agus Suarya Putra; Ni Made Mila Rosa Desmayani
Jurnal Pengabdian Kepada Masyarakat Sewagati Vol. 1 No. 2 (2023): Jurnal Pengabdian Kepada Masyarakat SEWAGATI
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (370.165 KB) | DOI: 10.59819/sewagati.v1i2.2734

Abstract

A traditional village in Bali is an institution that is responsible for managing and maintaining the sustainability of a traditional village in Bali. The development of information technology has developed so rapidly that even village officials must keep up with the development of information technology. However, in reality some village officials are not fluent in using information technology either in the form of Microsoft Word, Excel, Power Point, especially now that online meetings are also developing with many positive impacts. Based on these problems, community service was carried out by conducting Microsoft Word, Excel, Power Point training, and online meetings using the Zoom application. This training was conducted with the aim of increasing the skills of indigenous village communities in using information and communication technology. In this training, participants will be taught how to use Microsoft Word, Excel, and Power Point to create documents, process data, and make presentations. In addition, participants will also be taught how to use the Zoom application to conduct online meetings. This training is expected to provide benefits for indigenous village communities in improving their skills and productivity. Based on the evaluation results that have been carried out using the pre-test and post-test methods, in general there is an increase in the ability of village officials to operate the information technology material that has been provided in this community service.