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APLIKASI SISTEM PERANGKAT LUNAK MENGGUNAKAN ALGORITMA ANT UNTUK MENGATUR PENJADWALAN KULIAH Saragih, Hoga; Hoendarto, Genrawan; Reza, Bobby; Setiyadi, Didik
Teknik dan Ilmu Komputer vol. 1 no. 3 July-September 2012
Publisher : Teknik dan Ilmu Komputer

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Abstract

Ant algorithm is one of Swarm Intellingence algorithms that can be used to solve NP-Hard problems. The scheduling of courses and lecturers which are done routinely each semester can be solved by exact methods and heuristic methods. Each institution has its own constraints in arranging the schedule. This paper discusses a case study in STMIK Widya Dharma. The type of ant algorithm used is the Rank Base Ant System suitable for scheduling based on ranking, which is the lecturers’ priority level. The other parameters are subjects, space, and time. It is expected that the software being analyzed with Ant algorithms can provide solutions to the scheduling problem. Keywords:   university timetable course,  An algorithm, ASRank
Aplikasi Mobile Money Management Dengan Fitur Optical Character Recognition Menggunakan Framework React Native Susana Lin; Genrawan Hoendarto
METIK JURNAL Vol 5 No 2 (2021): METIK Jurnal
Publisher : LP3M Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v5i2.291

Abstract

Financial management is one of the important things in the process of achieving the financial goals of a person or an organization. Everyone has their own way to manages finances, this is dependent on the character and they goals. Financial management can be done conventionally, for example by manual method which is commonly done by write the expenses, income, and savings in a notebook. However, if the note must contain details of the transactions carried out, it can be considered less efficient. The use of Optical Character Recognition will be able to answer this problem, by taking a picture of the transaction, all transaction details will be recorded on the smartphone, and the user can validate the results obtained and save the record on the smartphone user. Users can also immediately see the total transactions made according to the selected time range without having to calculate each transaction made manually. The application will be designed using the react native framework which allows it to run on various platforms.