Tantri Hidayati Sinaga
Universitas Harapan Medan, Medan

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Perancangan Aplikasi Pencatatan Data Manifes Penumpang Kapal Penyeberangan Danau Toba Menggunakan Web Tantri Hidayati Sinaga
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1892

Abstract

Lake Toba Tourism Area, has the potential for natural tourism which is formed from super volcanic activities so that it makes it one of the favorite tourist attractions in Indonesia. The crossing ship is the main transportation in the Lake Toba tourism area and is a favorite choice for people around Lake Toba and tourists who want to visit Samosir Island. Passenger Manifest Data is a very important document in the process of transportation, especially airplanes and ships, including crossing ships on Lake Toba. The manifest contains data on passengers, crew members and various items transported by the mode of transportation. Manifest documents are also useful for the process of disbursing insurance for transportation accidents. Passenger Manifest data using crossing ships on Lake Toba currently only records the number of passengers and the number of vehicles riding the ship, but does not record the name of the passenger. Passenger manifest data application is needed to manage the manifest data of crossing ship passengers on Lake Toba, with the aim of facilitating monitoring of crossing activities and the process of identifying passenger crossing vessels. This research will produce an application to recording Passenger Manifest of crossing ship in Lake Toba. The application is based on web, so it will be easily accessed anywhere, and can only be accessed by the North Sumatra Transportation Office. This application can be used to make it easier for the parties involved in supervising and controlling the list of ship passengers who travel on Lake Toba, so that it can reduce the risk of accidents and misuse of the number of boat loads from the permit.
Penerapan Extreme Programming dalam Pengembangan Fitur Interoperabilitas Pada Aplikasi Bioinformatika Edrian Hadinata; Tantri Hidayati Sinaga
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4238

Abstract

Extreme Programming or XP Model is an application development framework used to create applications that require rapid adaptation. Even in the condition that the application is still in use, the use of this development model is quite appropriate if it is applied to the development of Several features of Bioinformatics Applications. The widespread use of interoperability features found in many applications has made it easier for many system developers to develop applications on various system devices. Likewise, bioinformatics applications that carry out various in silico studies. Application development using the XP Model for special applications that are rarely used for feature additions, the difficulty is implementing rapid adaptation to interoperability feature development without design and analysis of specific applications. The contribution of this paper is to make notes and blueprints for adding interoperability features for bioinformatics applications. Besides that, the XP model is a different method when used to carry out the application development process, especially if it is used to add features to special applications. The success obtained in the development of this application cannot be separated from the advantages of the XP model itself, because the XP model can be implemented in conditions of lack of human resources and the possibility of applying practical principles and techniques in the process. As a result, development is carried out quickly and the application runs well through testing results and then applications can be used to perform processes in silico through interaction between applications to applications to the dataset provider.