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All Journal Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Jurnal Begawe Teknologi Informasi Research in Education, Technology, and Multiculture
I Gde Putu Wirarama Wedashwara Wirawan
Universitas Mataram
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Implementasi Fuzzy Tsukamoto dan IoT Pada Sistem Pendukung Keputusan Tingkat Kepadatan Lahan Parkir Indraning Tyas Adhitria; I Gde Putu Wirarama Wedashwara Wirawan; Ahmad Zafrullah Mardiansyah
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 2 No 2 (2020): September 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v2i2.100

Abstract

Parking lots are a common thing in everyday life. The problem of parking lot's density can be a problem for managers of a place. So to overcome the problem that can occur, this study aims to design a decision support system (DSS) to determine the density of parking lots by applying the concept of IoT and Tsukamoto's fuzzy method. IoT is used to automate data retrieval to create fuzzy rule patterns. In the Tsukamoto method, each rule is represented by IF-THEN. The method for system design in this study includes the design of hardware and software. In this design, data retrieval uses an ultrasonic sensor HC-SR04 and is processed with the IoT concept using Arduino UNO and ESP8266 microcontrollers. The sensor is placed on the exit and entry path of the vehicle on the parking lot to detect vehicles entering and exiting. The parking lot used in this study is miniature. Vehicle data is processed using Tsukamoto's fuzzy logic to determine parking density decisions. Data variables used are time, duration, and density of parking lots. DSS is designed using the Laravel framework. Based on the test results, it is known that IoT devices can perform their functions properly. DSS that is made in the form of a website can also function well. The results are based on error testing, obtained error for determining the parking density level is 7,68%.
CLV-Enhanced RFM Framework for Customer Segmentation in Indonesian SMEs Using K-Means Clustering Dio Rizkyandita; Heri Wijayanto; I Gde Putu Wirarama Wedashwara Wirawan; Mosiur Rahaman
Research in Education, Technology, and Multiculture Vol 5, No 1 (2026): Research in Education, Technology, and Multiculture
Publisher : Institute of Multidisciplinary Research and Community Service

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61436/rietm/v5i1.pp1-14

Abstract

Micro, Small, and Medium Enterprises (MSMEs) contribute more than 61% of Indonesia's Gross Domestic Product, yet most of them still face limitations in leveraging transactional data for customer retention strategies. Prior studies have extensively combined Recency, Frequency, and Monetary (RFM) analysis with the K-Means algorithm for customer segmentation, but the majority treat Customer Lifetime Value (CLV) only as a post-hoc label assigned to clusters after the clustering process is finalized, rather than as a feature that shapes the segment structure from the beginning. This study addresses three research questions: how CLV can be effectively integrated as a clustering input, what segmentation structure emerges from this approach, and what concrete retention strategies can be derived for MSMEs with limited analytical capabilities. The proposed framework incorporates CLV, calculated as the discounted historical net sales using a 10% annual discount rate, as the fourth feature in the K-Means feature space with K-Means++ initialization, alongside RFM variables standardized using Z-scores. The framework is applied to a real dataset from a coffee shop MSME in Indonesia, comprising 19,126 transactions, of which 4,310 are member transactions from 472 unique registered customers, recorded throughout January–December 2023. The optimal number of clusters is determined through the convergence of the Elbow Method and the Silhouette Coefficient, both indicating four clusters as the best solution with a silhouette score of 0.5105. The segmentation divided customers into four tiers: Platinum, Gold, Silver, and Bronze. A key finding was a highly concentrated value distribution, with just 1.48% of customers (n = 7) contributing 21.66% of total revenue and CLV. This pattern is significantly more skewed than the traditional 80/20 Pareto rule. This concentration is interpreted through the lenses of habit formation, small base amplification, and comparative empirical evidence. The four-tier framework translates into differentiated retention strategies: VIP retention, value uplift, repeat-purchase incentives, and win-back campaigns, with monetary thresholds calibrated to each segment's median value. Keywords: K-Means, Clustering, RFM, Customer Lifetime Value, Customer Segmentation, MSMEs.
Development of the SDN Repok Puyung Website Based on WordPress with Online Student Admission (PPDB) and E-Library Features: PENGEMBANGAN WEBSITE SDN REPOK PUYUNG BERBASIS WORDPRESS DENGAN FITUR PPDB (PENERIMAAN PESERTA DIDIK BARU) ONLINE DAN E-LIBRARY Fadila Ramdhani Muaz; I Gde Putu Wirarama Wedashwara Wirawan; Muhamad Azmi; I Wayan Agus Arimbawa
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 7 No. 1 (2026): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v7i1.1479

Abstract

Perkembangan teknologi digital yang semakin pesat menuntut lembaga pendidikan beradaptasi agar mampu menyediakan layanan informasi secara cepat, mudah, serta terintegrasi. SDN Repok Puyung, sebagai salah satu sekolah dasar di Kabupaten Lombok Tengah, juga memerlukan sistem informasi yang dapat membantu penyebaran informasi dan pengelolaan data sekolah. Untuk mendukung hal tersebut, dikembangkan sistem informasi berbasis website menggunakan WordPress, berfokus pada dua fitur utama, yaitu E-Library dan PPDB (Penerimaan Peserta Didik Baru). Fitur E-Library dikembangkan untuk menyediakan arsip digital berupa bahan ajar dan dokumen pembelajaran yang dapat diakses secara online oleh guru dan siswa, sedangkan fitur PPDB dirancang untuk mempermudah proses pendaftaran siswa baru secara online. Sistem ini dikembangkan menggunakan metode Kanban, yang membantu proses pengembangan berjalan secara terstruktur melalui pembagian tahapan To Do, In Progress, Review, dan Done. Penggunaan WordPress sebagai platform pengembangan memberikan fleksibilitas tinggi dalam pengelolaan konten serta kemudahan integrasi plugin seperti Fluent Forms untuk formulir PPDB dan plugin kustom untuk E-Library. Hasil pengujian fungsionalitas menggunakan metode User Acceptance Testing (UAT) terhadap 20 responden menunjukkan nilai persentase sebesar 86,4%. Hasil persentase tersebut membuktikan bahwa sistem telah berfungsi dengan baik, memenuhi kebutuhan fungsional sekolah, serta layak digunakan untuk meningkatkan efisiensi pengelolaan dan kemudahan akses layanan pendidikan di SDN Repok Puyung.
Co-Authors Ahmad Zafrullah Mardiansyah Dio Rizkyandita Fadila Ramdhani Muaz Heri Wijayanto I Wayan Agus Arimbawa Indraning Tyas Adhitria Mosiur Rahaman Muhamad Azmi