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All Journal Elkom: Jurnal Elektronika dan Komputer Jurnal Teknologi Informasi dan Komunikasi Journal of Technology Informatics and Engineering
Budi Raharjo
Universitas Sains dan Teknologi Komputer
Computer Science & IT Education Electrical & Electronics Engineering Engineering Mechanical Engineering

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RANCANG BANGUN PENGELOLAAN SISTEM INFORMASI PERSEDIAAN BAHAN BAKU BERBASIS CLIENT SERVER Budi Raharjo; Danang Danang
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 11 No 1 (2020): Maret
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (862.148 KB) | DOI: 10.51903/jtikp.v11i1.282

Abstract

The management of raw material inventory is a very important part for a company. In the process of inventory management of raw materials conducted on CV.Alinea Java until now still using conventional system using Microsoft Excel 2007, starting from material estimation, ordering process of goods to supplier, process of receipt and expenditure of raw materials, raw material returns, addressed to the leadership and related sections. And the utilization of wireless networks that are less effective because only connected computer warehouse administration and purchasing, not all users, to overcome the above problems, it is necessary information that utilizes the inventory management information system raw materials with computer network based client server using a new system of mutual terintregrasi all users so that all interested parties can access the desired data of course with certain restrictions, according to the status entered. Then created a system of inventory management information raw materials server client base on CV.Alinea Java by using Microsoft Visual Basic 6.0 and Microsoft SQL Server 2000 database that will assist in the process of data processing system.
THREAT ATTRIBUTES HANGING IN THE WILD ANDROID Irda Yunianto; Mars Caroline Wibowo; Budi Raharjo
Journal of Technology Informatics and Engineering Vol 1 No 3 (2022): Desember: Journal of Technology Informatics and Engineering
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i3.150

Abstract

Android is a complicated system that applications and component are usable and support for multiple work together, giving rise to highly complex interdependence relationships. Meanwhile, the Android environment is notable for being greatlty disparate and decentralized: different Operation System version is personalized and re-personalized by different parties about fast and used by whoever that can develop an application for that version. Android secure its explanation sources over an app sandbox and permissions model, where each application execution in this part can entrance only suspectible overall assets and another application component (value providers, services, activities, publication receivers) by the appropriate liscense. This study uses Harehunter measurement to automatically detect Hare vulnerabilities in Android system applications. Harehunter and HareGuard performance evaluations were carried out in this study, both of which proved to be highly effective. The approach used here is divergent investigation, by searching all quoted, decompiled script, and obvious data for targeted attribute determination as an initial step, and running an XML parser. The outcome of this research show that the impact of Hares is very significant. The application of HareGuard in this study proved to be effective in detecting all attack applications that were made. Further evaluation of the performance impact on the minimum system host. For future research, to make Harehunter more effective, it is suggested to use a more qualified analyzer. So that this direction can be explored in more depth.
AI For Effective Project Resources Management Budi Raharjo; Joseph Teguh Santoso
Elkom : Jurnal Elektronika dan Komputer Vol 15 No 2 (2022): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i2.1887

Abstract

This research endeavours to delve into the potential of Artificial Intelligence (AI) in bolstering Project Resource Management (PRM), discerning the principal challenges inherent in project resource planning, acquisition, and human as well as physical resource management, while also appraising the utilization of AI tools by project team members (PTM) and their efficacy in daily tasks. This research contributes a theoretical basis for what lies ahead studies in PM and unveils the benefits of AI in task monitoring, scheduling, team assignment, cost estimation, and the monitoring of physical project resource availability. This study employs a mixed-method approach, commencing with an initial literature review to identify project challenges. Data collection is facilitated through the administration of questionnaire surveys and interviews with project managers, encompassing both closed-ended and semi-structured questions. The research reveals that PTM readily embraces the utilization of AI for daily tasks and Project Resource Management can be enhanced through AI.
Co-Authors Danang, Danang Irda Yunianto Joseph Teguh Santoso Wibowo, Mars Caroline