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All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Manajemen dan Teknologi Informasi
Eddy Hartono
Institut Bisnis dan Teknologi Indonesia
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering

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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%.
C2C Startup Model of Balinese Ceremony Ticketing System in Ubud Bali I Wayan Dharma Suryawan; Ni Wayan Sumartini Saraswati; Eddy Hartono
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 15 No 03 (2024): Vol.15, No. 3 December 2024
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2024.v15.i03.p05

Abstract

Ubud is one of the tourist destinations in Bali. Ubud combines natural attractions, culture, and spiritual life harmoniously. One of the elements of cultural attraction in Ubud is the implementation of traditional and religious ceremonies that uphold ancestral customs. With this potential, Ubud can be a tourist destination supporting Balinese cultural tourism's progress. Currently, information regarding the implementation of traditional and religious ceremonies in Ubud is limited to tourists. Tourists can witness the traditional and religious ceremonies held through information from tour guides, who are ceremony organizers. The availability of a ceremony ticketing system that connects tourists with traditional village/banjar communities can directly address the problem of access to information and services for the implementation of traditional and religious ceremonies in Ubud. This study aims to develop a C2C e-commerce model that involves klian adat and tourists directly selling tickets for traditional and religious ceremonies in Singakerta Village, Ubud District. Given the limited time for system development, the RAD software development method was selected as the system development method. The user experience test's Likert scale results showed that the system's quality reached 84.13% for tourist satisfaction and 84.19% for klian adat satisfaction. This indicates that the system is at an excellent level based on the user.
Co-Authors Diah Juniari Arnidya Gede Surya Mahendra I Nyoman Agus Suarya Putra I Wayan Dharma Suryawan Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Ni Wayan Wardani Wardani Putu Gede Surya Cipta Nugraha Saraswati, Ni Wayan Sumartini