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All Journal SISFOTENIKA CCIT (Creative Communication and Innovative Technology) Journal SENSITEK Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jikom: Jurnal Informatika dan Komputer Jurnal Pengabdian Masyarakat (JURDIMAS) Prosiding Seminar Nasional CORISINDO
Susanti Margaretha Kuway, Susanti Margaretha
STMIK Pontianak
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences

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Journal : CCIT (Creative Communication and Innovative Technology) Journal

 1 
SISTEM INFORMASI PEMESANAN DENGAN PENERAPAN KONSEP ELECTRONIC CUSTOMER RELATION MANAGEMENT BERBASIS WEB I Dewa Ayu Eka Yuliani; Susanti Margaretha Kuway
CCIT Journal Vol 10 No 1 (2017): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (748.067 KB) | DOI: 10.33050/ccit.v10i1.508

Abstract

Building customer loyalty at Multi Sport Pontianak requires corporations to create new, innovative, and differentiated products. Quality assurance is one of the most important aspect beside employing technology to provide better information to customers and also better before and after sales services. This research employs research and development method to design E-CRM with sequential Linear and Unified Modelling Language as tools for system modelling. Ordering information system design with E-CRM helps store users to build better customer loyalty with uptodate information and promotion to targeted customer. By listening to customer, better customer loyalty will be achieved. E-crm provides better understanding of customers with its real time interaction during sales process. This feature enables corporations to build better products and services and in the end creates better customer loyalty.
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 -, Dany Fahrurrozi Andi, Wiwin Afri Budi Susilo David David David David Endah Sri Subrata Gat Gat, Gat Gusti Syarifudin Gusti Syarifudin, Gusti I Dewa Ayu Eka Yuliani Ivan Hintoro Madhiyono, Madhiyono Nabila, Fiqa Anisa PRATAMA, RICO Sandy Kosasi Utin Kasma, Utin Windy Agasia Yohanes, Aspiranti