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All Journal Jurnal Transformatika INTECOMS: Journal of Information Technology and Computer Science Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
Prihati, Yani
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Computer Science & IT Decision Sciences, Operations Research & Management

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Journal : Jurnal Transformatika

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Implementasi Twitter Bootstrap dalam Pengembangan Aplikasi Web E-Commerce (Studi Kasus Toko Putra Reban Kendal) Widayati, Yohana Tri; Prihati, Yani; Widjaja, Stephanus; Prakoso, Satrio Agung; Notobudojo, Angeline Renita
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.3541

Abstract

This study aims to apply twitter bootstrap in an e-commerce web so that the web display becomes more responsive, that is, it can provide a display according to the device used to access the web. The object of this research is the Putra Reban Store in Kendal which markets local art equipment and supplies, especially masks.The system development method used in this research is the Scrum method with stages including product backlog, sprint backlog, sprint and working increment. This method was chosen because it can save system development time and can transform a business that is difficult to measure into one that is easy to develop. The system is designed with 2 actors, namely admin and customer. Admin has access rights to manage product data, customer data, and order data, while customers have the right to access product data and make order transactions.With this developed system, it is easier for Putra Reban Stores to market their products because product descriptions and product availability stocks can be informed more easily and accurately. With complete and accurate product information, it will also be easier for customers to make transactions.
ANALISIS DAN KOMPARASI ALGORITMA NA VE BAYES DAN C4.5 UNTUK KLASIFIKASI LOYALITAS PELANGGAN MNC PLAY KOTA SEMARANG Widayati, Yohana Tri; Prihati, Yani; Widjaja, Stephanus
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2541

Abstract

Customer loyalty is an important factor to the survival of a company. The problem facting today is related to the descreasing number of customer loyalty that happened to PT MNC Play. If this is allowed   to continue it is not impossible this will endanger the continuity of the company s business.Keep in mind the factors that cause customers to have loyal and disloyal status, data mining classification techniques can be used to classify loyal and disloyal customers. Many data mining classification algorithms can be used, so it needs to be comparative to know the accuracy of each algorithm, the algorithem used is C4.5 and Na ve Bayes. The data used were 28,899MNC Play customer of Semarang City.The results of the classification   process were evaluated using cross validation, confusion matrix, ROC Curve to find the more accurate data mining classification algorithm to determine loyal and disloyal customers.Keywords: Classification, Customers Loyalty, Na ve Bayes, C4.5.
Co-Authors Amsa, Femas Galang Samudra Apriliyanto, Firmansyah Putra Bakti, Cristeddy Asa Fahiem, Ahmad Muhammad Jaya, Theofilus Palaun Jutono Gondohanindijo, Jutono Natal Dinata, Wilson Notobudojo, Angeline Renita Prakoso, Satrio Agung Setia Budi, Agung Tridian Galih, Sinta Wahyuni, Ana Widayati, Yohana Tri Widjaja, Stephanus Widodo, Tulus Suryo Yusup, Yusup