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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Creative Information Technology Journal SISFOTENIKA CogITo Smart Journal Voice Of Informatics CCIT (Creative Communication and Innovative Technology) Journal SENSITEK E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi JUDIMAS (Jurnal Inovasi Pengabdian Kepada Masyarakat) INFOSYS (INFORMATION SYSTEM) JOURNAL Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Pengabdian Masyarakat (JURDIMAS) Prosiding Seminar Nasional CORISINDO
Gat Gat, Gat
STMIK Pontianak
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences

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Journal : CCIT (Creative Communication and Innovative Technology) Journal

 1 
Utilization of Scrum Models in Photography Services and Online Videography Vionika Angelia Fendrika; David David; Gat Gat; Sandy Kosasi; Tony Wijaya
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (686.964 KB) | DOI: 10.33050/ccit.v15i2.2077

Abstract

The difficulties faced by the user in selecting photography and videography services are now very limited to access the transmission of his works, and also because a photography and videography have not been computerized to make information and data management scarce. The purpose of the study is to develop a software by pinching agile ux, asa measure of user satisfaction or need to online photography and videography services. The method is the scrum that serves to manage a project more efficiently, and it makes teamwork more effective and focused. The results of this study were developing a software that functioned asa function, from providers and users as well as photography and videography services, so they became more efficient and the published works became more optimized. Testing results using black box testing that test for functionality and required specifications. Applications made to help sell products and promote shops in these materials, so that all are more organized and more effective in the system are washed down. The application has not been entirely feasible, as development in the system is still required.
Genetic Algorithm Application in Route Optimization Using Google Maps API Ivan Hintoro; Sandy Kosasi; David David; Susanti Margaretha Kuway; Gat Gat
CCIT Journal Vol 16 No 2 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v16i2.2603

Abstract

Route planning from several locations is a common problem encountered. Google Maps provides a feature to plan routes from multiple location but does not provide a feature to find the optimal route from these locations. Based on the survey, 61.9% of respondents have a low level of confidence when planning the optimal route from several locations. So we need software that can help in planning the route. This research utilizes genetic algorithms to help plan routes from several locations. The genetic algorithm used includes components in the form of chromosomes, fitness values, selection, crossover, and mutations. In addition, Google Maps API used as the data source that provides maps, directions, and distance matrices. The design method used extreme programming. The software is made using HTML, CSS, PHP, and JavaScript programming languages with MySQL DBMS. In addition, Black-box and White-box testing method is used in this research. The results of this study are route optimization software that works by using genetic algorithm components to obtain optimal route from several locations with the advantages of using Google Maps API and selecting location points and starting points that are flexible. This study aims to highlight the benefits, limitations, and future prospects of route optimization. The findings of this research will contribute to assist decision-makers in adopting effective strategies related to route optimization.
Co-Authors Aminuyati Andi, Wiwin Afri Aryani, Marisa Kamalia David David Devi Widya Sari Fitriani, Diana Giovan Meidy Susanto Gusti Syarifudin, Gusti I Dewa Ayu Eka Yuliani Ivan Hintoro Kristianto, Benny Djoede Muhammad Hapif Muhammad Ivansyah Basya Nabila, Fiqa Anisa Oktavianus Rii Runda Reika Bulandari Sandy Kosasi Susanti M. Kuway Susanti Margaretha Kuway, Susanti Margaretha Syarifudin, Gusti Tony Wijaya Vinna Violetta Cornelia Vionika Angelia Fendrika