Found 2 Documents
Journal : IJISTECH (International Journal Of Information System

Design Warehouse Management Inventory System Based On The Website Aria, Ririn Restu; Rahadjeng, Indra Riyana
IJISTECH (International Journal Of Information System & Technology) Vol 1, No 2 (2018): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (260.247 KB) | DOI: 10.30645/ijistech.v1i2.8


Warehouse management system is one of the most important parts of manufacturing companies in order to monitor all the supplies owned by the company for incoming goods and goods out. PT. Arista Latindo, is still using manual way to know the inventory they have today, so it will take a lot of time to be able to process the results of the use of raw materials, the resulting production, when using the system there are many mistakes that often occur in the process of recording thus affecting the overall system. Therefore, with technological advances to improve the existing system from the manual will be converted into computerized. For making these applications can use the website as a form of view that can be accessed by administrators more easily, quickly and effectively. When the design is done to better understand the needs of the user, the process is done and the output to be used, the testing process is done by waterfall method and black box testing method to check the errors associated with the display in applications that have been made and will be used in the company.
IJISTECH (International Journal of Information System & Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (912.442 KB) | DOI: 10.30645/ijistech.v3i2.47


Sales of e-commerce in Indonesia are currently experiencing a pretty good increase by starting to switch sales that are done traditionally or offline to online sales using the use of internet media to facilitate trade transactions between sellers and buyers can be done anywhere and anytime. In this study using the K-means clustering method algorithm. The data source used in this study is based on sales using e-commerce based on provinces in Indonesia in 2018. The criteria used in the calculation are divided into 3 clusters, namely seller, reseller and dropship. Centroid data for cluster 1 = 68.30,33,58,4.95 namely Aceh, Riau, West Kalimantan, East Kalimantan, and Maluku. Centroid data for cluster 2 = 78.58,22,25.4,22 i.e. North Sumatra, West Sumatra, Jambi, Bangka Belitung Islands, D.K.I Jakarta, Central Java, East Java, Banten, Bali, Central Kalimantan, South Kalimantan, South Sulawesi and Papua  and Centroid data for cluster 3 = 86.36,13.34,4.38 namely South Sumatra, Bengkulu, Lampung, Riau Islands, West Java, D.I Jogyakarta, West Nusa Tenggara, East Nusa Tenggara, North Kalimantan, Central Sulawesi, Gorontalo, West Sulawesi, North Maluku and West Papua.