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All Journal Jurnal Mantik
Siti Nur Khasanah
STMIK Nusa Mandiri, Jakarta, Indonesia
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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IT-Helpdesk System Design With Waterfall Model (Case Study : Agung Podomoro Group): IT-Helpdesk System Design With Waterfall Model (Case Study : Agung Podomoro Group) Siti Nur Khasanah; Sandra Jamu Kuryanti; Hermanto Hermanto; Cep Adiwihardja
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (431.626 KB)

Abstract

Agung Security Podomoro Group is a company that uses a lot of electronic inventory, so there are quite a lot of inventory problems that must be dealt with, as long as there is an inventory problem the user or admin of the location submits to Asset Management, by telephone, or other communication tools, then Asset management does and submit to Technical support. Due to the large number of inventory reports that are damaged often the handling of technical support is not handled properly. Therefore it is necessary to have a system that becomes a working benchmark that records damage reports accompanied by a history record so that if there is a similar damage it is easier to handle. In this study a Web-based Help Desk System was designed to deal with existing problems. The website is made based on PHP and uses a MySQL database. The development method that the author uses in designing the web-based Helpdesk System at Agung Podomoro use the Waterfall model.
Implementation of The Apriori Algorithm for Spare Parts Data Sales Siti Nur Khasanah; Levi Juniarti; Sandra Jamu Kuryanti; Eko Yulianto
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.892.pp1568-1572

Abstract

Pakubumi piling spare parts are very much needed when there is a lot of infrastructure development in the capital city and in small cities. Spare parts that are used at the time of construction and for stocks carried out by project workers that will be prepared by suppliers as well as in CV. Abadi Perkasa. With a lot of available sales data, an algorithm is needed to manage the sales data. Data processing sales data mining with a priori algorithm technique can look for the highest frequency pattern where the highest frequency value is above a certain threshold which is called minimum support. After getting the highest support value, then the confidence value is sought to determine the association rules for one product with another. Looking for a minimum of support and confidence can also be found with the help of rapidminer tools. From this research, it can be seen that the a priori algorithm can find out which products are often purchased as well as determine the patterns of relationships between products and help to develop future marketing strategies.
Co-Authors Cep Adiwihardja Eko Yulianto Hermanto Hermanto Levi Juniarti Sandra Jamu Kuryanti