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All Journal IJISTECH (International Journal Of Information System & Technology) Economics and Digital Business Review IJISTECH Journal Of Technology and Information System (J-TIS)
Bariyyah, Sitti Khairul
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics Social Sciences

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PENERAPAN E-COMMERCE MENGGUNAKAN METODE BUSINESS MODEL CANVA DAN FISHBONE UNTUK MENINGKATKAN PENJUALAN PADA RINGS4GIRLS Maharani, Sharmila; Sasono, Damar Suryo; Ndala, Stefanus; Ningrum, Wahyu Cipta; Bariyyah, Sitti Khairul
Journal Of Technology and Information System (J-TIS) Vol 3 No 1 (2024): Januari - Juni 2024
Publisher : Program Studi Sistem Informasi, Universitas Yapis Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70129/jtis.v3i1.648

Abstract

Perkembangan internet dan teknologi yang memudahkan pengguna semakin mempengaruhi sektor bisnis, termasuk usaha kecil seperti Rings4Girls. Rings4Girls adalah sebuah bisnis yang bergerak di bidang penjualan cincin dan gelang dengan hiasan manik-manik. Saat ini, proses penjualan di Rings4Girls masih dilakukan secara manual, mulai dari pemilihan produk, proses pembayaran, hingga pengelolaan pesanan. Hal ini menyebabkan kinerja yang kurang optimal dan tidak efisien. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem e-commerce guna meningkatkan penjualan dan efisiensi operasional di Rings4Girls. Metode yang digunakan dalam penelitian ini adalah Business Model Canvas (BMC) untuk menyusun skema bisnis yang holistik dan berkinerja tinggi serta Diagram Fishbone (Ishikawa) untuk mengidentifikasi dan menganalisis penyebab masalah yang dihadapi. Hasil penelitian menunjukkan bahwa penerapan e-commerce mampu mengotomatisasi proses penjualan, meningkatkan manajemen stok, dan menyediakan laporan penjualan yang lebih akurat dan real-time. Selain itu, penggunaan e-commerce memperluas jangkauan pasar, meningkatkan jumlah pelanggan, dan memperbaiki layanan kepada pelanggan melalui pelacakan informasi dan riwayat pembelian
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.
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.
Digitalization of Fresh Fish Sales: A Study of the E Commerce Model at Toko Ikan Jayapura Bariyyah, Sitti Khairul; Prayitno, Yudi; Sari, Annita
Economics and Digital Business Review Vol. 7 No. 1 (2025): Agustus - Januari
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.2911

Abstract

Toko Ikan Jayapura is a fisheries business unit specializing in the sale of fresh fish and local seafood products in Papua. With the increasing demand for digital access and ease of online transactions, this study aims to describe the implementation and effectiveness of a web-based sales model (e-commerce) at Toko Ikan Jayapura. The study was conducted qualitatively from April to June 2025 through interviews, observations, and digital documentation. The results indicate that e-commerce has a significant impact on increasing sales volume, enhancing consumer accessibility, and improving operational efficiency. The developed website enables customers to place orders directly, view product catalogs, make payments, and track deliveries. This model serves as a pilot example of digitalization in the fisheries business in eastern Indonesia.
Co-Authors Anditha Putri Fasha, Kharisma Ernawati Ernawati Fernatyanan, Patrisia Maharani, Sharmila Melani, Putri Indah Muhammad Riandi Widiyantoro Mujianto, Ahmad Heru Ndala, Stefanus Ningrum, Wahyu Cipta Noy, Ismail Prayitno, Yudi Robo, Salahudin Sahlan M Saleh Sari, Annita Sasono, Damar Suryo Septyana Prasetianingrum Sil Valen, Fitri Suryo Sasono, Damar Widiantoro, Muh Riandi