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Arief, M. Rudyanto
Universitas AMIKOM Yogyakarta
Computer Science & IT

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EVALUASI USER INTERFACE PADA APLIKASI E-COMMERCE (STUDI KASUS INFORMA DAN IKEA) Ilkham, Sundari; Kusrini, Kusrini; Arief, M. Rudyanto
Informasi Interaktif Vol 4, No 3 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

ABSTRACT Increasingly complex human needs cause changes in the community environment. This is indicated by the increasingly rapid development of information technology, especially information technology related to online shopping applications through e-commerce applications. The development of technology that is currently being talked about and is the subject of discussion is to develop technology towards modern business by using mobile-based e-commerce applications. Anywhere and anytime quickly and in real time, people can easily make purchases of any product related to the needs of the house they are looking for. The results of this study were to determine the magnitude of the heuristic value of the quality of the mobile e-commerce application user interface Informa and Ikea according to users using the Nielsen 10 principle method. It is expected that the results of this study can be used as input for e-commerce mobile application developers Informa and Ikea to be better, and can be proposed to improve the user interface for e-commerce applications Informa and Ikea. Keywords:  E-Commerce, User Interface, 10 Nielsen Principles. 
PENERAPAN ALGORITMA PALGUNADI PADA SPLIT DELIVERY VEHICLE ROUTING PROBLEM UNTUK PENDISTRIBUSIAN MULTI PRODUK Wulandari, Sri; Kusrini, Kusrini; Arief, M. Rudyanto
Informasi Interaktif Vol 4, No 1 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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                     Transportation is one area in the supply chain management that determines how and when to send goods to consumers. Determination of distribution routes has an effect on transportation costs. In delivering goods, the company must be able to determine the configuration of the distribution line appropriately so that shipping becomes fast and does not cost much. This study, we will develop a SDVRP solution method for multiple-products distribution. Solving the SDVRP problem for multiple-products distribution will use the Palgunadi Algorithm with the aim of determining the distribution route so that the minimum total distribution costs are obtained. This study uses data about the distribution of fuel in the NTT region with many agents 8 and many types of products 3. There are 3 types of tankers used. The results of the study produced 3 alternative distributions based on the type of tanker used. The use of type 2 (3,500) tankers results in a minimum total distribution cost with the number of routes and tankers used is 2. Keywords: SDVRP, Palgunadi Algorithm, Multiple Products
Co-Authors Ilkham, Sundari Kusrini, Kusrini Wulandari, Sri