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All Journal Jurnal Buana Informatika Konstelasi: Konvergensi Teknologi dan Sistem Informasi
Santana, Yohanes Renaldi Rio
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Computer Science & IT

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Optimizing Book Delivery Routes Using Genetic Algorithms: Case Study of Erlangga Publisher Yogyakarta Branch Rosa, Damba Saputra; Setiyono, Asep; Santana, Yohanes Renaldi Rio; Mudjihartono, Paulus
Jurnal Buana Informatika Vol. 15 No. 2 (2024): Jurnal Buana Informatika, Volume 15, Nomor 02, Oktober 2024
Publisher : Universitas Atma Jaya Yogyakarta

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Abstract

Optimizing Book Delivery Routes Using Genetic Algorithms: Case Study of Erlangga Publisher Yogyakarta Branch. This research aims to find the shortest route for book delivery using the Traveling Salesperson Problem (TSP) approach that is solved by a Genetic Algorithm (GA). The distance between the pair of locations will be known by using the longitude and latitude as the coordinates of the location (the place where books must be dropped and the trip continues). This network of the coordinates of locations is then viewed as TSP, which needs GA to solve the shortest path. Running the program for up to 100 iterations, this study resulted in the shortest route, 356 km in a whole route. Among the previous research, this research has its uniqueness, especially when the problem is viewed as a TSP, and when it comes to the crossover mechanism, it is quite rare. Moreover, the case of the Erlangga publisher is the first case that has used the GA.
Panduan Strategis untuk Migrasi ke Cloud Computing Studi Kasus Startup Marketplace khusus UMKM di Indonesia Santana, Yohanes Renaldi Rio; Emanuel, Andi Wahju Rahardjo
KONSTELASI: Konvergensi Teknologi dan Sistem Informasi Vol. 4 No. 1 (2024): Juni 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/konstelasi.v4i1.9005

Abstract

Migrasi ke komputasi awan telah menjadi pertimbangan penting bagi organisasi di berbagai sektor, didorong oleh keinginan untuk memanfaatkan kemampuan transformatif cloud computing. Tidak adanya kerangka kerja standar yang selaras dengan strategi bisnis telah menggaris bawahi perlunya pendekatan perencanaan dan pelaksanaan yang menyeluruh. Penelitian ini berfokus pada perancangan arsitektur untuk membantu perusahaan dalam migrasi dan optimalisasi komputasi awan. Migrasinya menggunakan metode modifikasi model Roadmap for Cloud computing Adoption (ROCCA). Data diambil dari wawancara yang dilakukan dengan CTO dan dianalisis menggunakan analisis SWOT. Hasilnya adalah implementasi model cloud computingdengan Google Cloud Platform (GCP) IaaS menunjukkan proses yang diberikan merupakan panduan yang baik dan tepat untuk mendukung pendekatan strategis PT Merkha Teknologi Indonesia dalam menganalisis dan merencanakan solusi cloud secara efektif. The migration to cloud computing has emerged as a critical consideration for organizations across various sectors, driven by the desire to harness the transformative capabilities of cloud technology. The absence of a standardized framework that seamlessly aligns with business strategies has underscored the necessity for thorough planning and execution approaches. This research focuses on the design of architectural to assist company in the migration and optimize of cloud computing. The migration using method by modification Roadmap for Cloud computing Adoption (ROCCA) model. Data were taken from conducted interviews with CTO and analyzed using SWOT analysis. The result is that the implementation of the cloud computingmodel with Google Cloud Platform (GCP) IaaS showed the processes provided are a good guidance and appropriate to support strategic PT Merkha Teknologi Indonesia approach in analyzing and planning cloud solutions effectively.
Optimizing Book Delivery Routes Using Genetic Algorithms: Case Study of Erlangga Publisher Yogyakarta Branch Rosa, Damba Saputra; Setiyono, Asep; Santana, Yohanes Renaldi Rio; Mudjihartono, Paulus
Jurnal Buana Informatika Vol. 15 No. 2 (2024): Jurnal Buana Informatika, Volume 15, Nomor 02, Oktober 2024
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Optimizing Book Delivery Routes Using Genetic Algorithms: Case Study of Erlangga Publisher Yogyakarta Branch. This research aims to find the shortest route for book delivery using the Traveling Salesperson Problem (TSP) approach that is solved by a Genetic Algorithm (GA). The distance between the pair of locations will be known by using the longitude and latitude as the coordinates of the location (the place where books must be dropped and the trip continues). This network of the coordinates of locations is then viewed as TSP, which needs GA to solve the shortest path. Running the program for up to 100 iterations, this study resulted in the shortest route, 356 km in a whole route. Among the previous research, this research has its uniqueness, especially when the problem is viewed as a TSP, and when it comes to the crossover mechanism, it is quite rare. Moreover, the case of the Erlangga publisher is the first case that has used the GA.
Co-Authors Andi Wahju Rahardjo Emanuel Paulus Mudjihartono Rosa, Damba Saputra Setiyono, Asep