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All Journal JTIM : Jurnal Teknologi Informasi dan Multimedia Jurnal Elektronika dan Teknik Informatika Terapan
Tyas Agustian Mahardika
Universitas Panca Marga
Computer Science & IT

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Rancang Bangun Sistem Informasi Pengarsipan dan Pendistribusian Surat Tamam Asrori; Tyas Agustian Mahardika
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 4 No 1 (2022): May
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v4i1.201

Abstract

Archive management is very important for an institution. Archive management at Panca Marga University has not been done computerized. Manual management raises several problems, including slow search, need for extensive mail storage and rather slow distribution. These problems can be solved by building an information system for filing and distributing mail. System development use the waterfall method. In this study, a system can be built to be able to manage incoming letters, outgoing letters, decision letters, letter dispositions along with the distribution of the letters. Based on the results of black box testing, the system that was built was running according to its functionality.
Sistem Informasi Pemesanan “Cangkrukan Cak Suga”Berbasis Web Nuzul Hikmah; Misdiyanto Misdiyanto; Tyas Agustian Mahardika
Jurnal Elektronika dan Teknik Informatika Terapan Vol. 1 No. 2 (2023): Juni : Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK )
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v1i2.332

Abstract

Coffee is one of the agricultural commodities that plays a vital role as a refreshing beverage and is categorized as a perennial crop. Currently, coffee is becoming a trend and an integral part of people's lifestyles. Coffee is divided into two main varieties: robusta and arabica, each with its distinct characteristics. Differentiating between robusta and arabica coffee beans can be challenging due to their similar physical appearance. Deep learning-based smart engines can offer a solution to this problem, although their complex user interfaces often hinder accessibility. To address this issue, a Spiral development method was employed to build an application using PHP programming language and Codeigniter 4 framework. This application facilitates easy detection of coffee bean types through both a website and a RESTful API, allowing users to access it online from any device. The application underwent comprehensive black box testing, demonstrating successful functionality aligned with the initial design objectives. It is expected that this application will solve the identified problem and provide significant assistance to coffee enthusiasts and the general public in easily distinguishing between various coffee bean types. Users can effortlessly recognize and differentiate between different coffee beans while obtaining useful information about their preferred coffee beans.
Co-Authors Misdiyanto Misdiyanto Nuzul Hikmah Tamam Asrori