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All Journal IJISTECH Journal Of Technology and Information System (J-TIS)
Widiantoro, Muh Riandi
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics Social Sciences

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PEMETAAN OBJEK WISATA KOTA JAYAPURA BERBASIS GIS Bimantoro, Shidiq Warisqi; M Saleh, Sahlan; Jusmawati, Jusmawati; Widiantoro, Muh Riandi; Wahyuni, Sri
Journal Of Technology and Information System (J-TIS) Vol 2 No 1 (2023): Januari - Juni 2023
Publisher : Program Studi Sistem Informasi, Universitas Yapis Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70129/jtis.v2i1.358

Abstract

Sistem Informasi Geografis (SIG) telah menjadi alat yang penting dalam pengelolaan dan promosi objek wisata di berbagai destinasi. Penelitian ini bertujuan untuk mengembangkan sebuah sistem informasi geografis yang dapat memetakan objek wisata di Kota Jayapura, Indonesia. Sistem ini akan memberikan informasi yang komprehensif tentang objek wisata, termasuk lokasi geografis, fasilitas yang tersedia, aksesibilitas, dan informasi terkait lainnya. Penelitian ini akan menggunakan data geografis dari berbagai sumber, termasuk data spasial, citra satelit, dan peta digital yang ada, sistem ini juga akan memberikan fitur interaktif, seperti penandaan objek wisata pada peta, pencarian berdasarkan kategori, dan fitur ulasan pengguna. Hasil dari penelitian ini diharapkan dapat memberikan manfaat yang signifikan dalam pengelolaan objek wisata di Kota Jayapura. Diharapkan sistem informasi geografis yang dikembangkan dapat meningkatkan visibilitas dan daya tarik objek wisata, membantu pemerintah dalam perencanaan dan pengembangan infrastruktur, serta memberikan pengalaman yang lebih baik bagi wisatawan yang berkunjung ke Kota Jayapura.
The Application of Customers Segmentation Using RFM Analysis Method and K-Means Clustering to Improve Marketing Strategy Robo, Salahudin; Melani, Putri Indah; Fernatyanan, Patrisia; Widiantoro, Muh Riandi; Bariyyah, Sitti Khairul
IJISTECH (International Journal of Information System and Technology) Vol 8, No 3 (2024): The October edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i3.370

Abstract

This research aims to overcome problems in improving marketing strategies in the Retail Business industry by using effective customer segmentation. The method used is RFM (Recency, Frequency, Monetary) analysis to measure the time proximity, frequency and monetary value of customer transactions, as well as K-Means Clustering to group customers based on their purchasing behavior. The results showed that the combination of these two methods successfully grouped customers into ten different segments, such as “Champions” and “Hibernating,” which provided deep insight into customer needs and behavior. The application of this segmentation provides practical benefits in increasing the efficiency of marketing strategies, customer retention and resource optimization. Overall, this research proves that applied customer segmentation techniques can significantly increase customer satisfaction and loyalty, making a valuable contribution to the field of retail marketing.
Co-Authors Anditha Putri Fasha, Kharisma Bariyyah, Sitti Khairul Bimantoro, Shidiq Warisqi Fernatyanan, Patrisia Jusmawati Jusmawati, Jusmawati Melani, Putri Indah Mujianto, Ahmad Heru Robo, Salahudin Sahlan M Saleh Sri Wahyuni Suryo Sasono, Damar