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All Journal JOIV : International Journal on Informatics Visualization Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Nasional Komputasi dan Teknologi Informasi International Journal of Community Service Learning Informatik : Jurnal Ilmu Komputer Indonesian Journal of Business Intelligence (IJUBI) ABDIKOM Journal of Computing Innovations and Emerging Technologies
Nindy Irzavika
Universitas Pembangunan Nasional Veteran Jakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Neuroscience Social Sciences Transportation

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Application of Computational Thinking as an Effort to Optimize Business Processes in Samudera Motor Showroom Sales Eunike Octavia Nababan; Nasywa Rakha Arrafi; Agnes Kurnia Gulo; Fawwaz Nabila Zulanifa; Nabila Zulanifa; Karina Ghaisani; Adinda Nuril Ashfiya; Nindy Irzavika
Journal of Computing Innovations and Emerging Technologies Vol. 1 No. 2 (2025): Volume 1 No 2
Publisher : novamindpress

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64472/jciet.v1i2.24

Abstract

The integration of computational thinking into the sales workflow of Samudera Motor provides significant opportunities for optimizing business processes. Through decomposition, key issues were identified clearly; pattern recognition highlighted recurring operational inefficiencies; abstraction helped isolate essential system components; and algorithm design produced structured solutions that can be implemented digitally. These findings demonstrate that computational thinking offers both a theoretical and practical framework for transforming traditional manual workflows into efficient, data-driven, and customer-oriented business processes. Implementing the proposed solutions can enhance operational accuracy, streamline decision-making, and significantly improve customer service performance at Samudera Motor. Furthermore, the application of computational thinking in the vehicle sales process provides an innovative foundation for enhancing efficiency and responsiveness to customer needs. By applying decomposition, pattern recognition, abstraction, and algorithm design, the study successfully identified major challenges in the manual sales workflow, such as difficulty in tracking sales history, lack of system integration, and a high risk of data errors. Proposed recommendations including data entry automation, the use of barcode or RFID technology, data analytics for identifying purchasing trends, and the development of an integrated centralized system are expected to improve operational efficiency, enrich customer experience, and support more adaptive sales strategies. Computational thinking serves not only as an analytical tool but also as a foundation for comprehensive business transformation, strengthening the competitiveness and long-term sustainability of Samudera Motor's showroom operations amid an increasingly dynamic market landscape.
Co-Authors Abdul Kholiq Adinda Nuril Ashfiya Adisty, Hawna Agnes Kurnia Gulo Amanullah, Rizki Diana Aqidatun Nisa Dwi Vernanda Eunike Octavia Nababan Fadhli Suko Wiryanto Fawwaz Nabila Zulanifa Febrianto, Muhammad Fatur Firgiawan, Achmad Rama Hadi, Novi Trisman Henki Bayu Seta Karina Ghaisani Kharisma Wiati Gusti Matondang, Nur Hafifah Mu, Jesselyn Muslim, Muhammad Panji Musthofa Galih Pradana Muttaqien, Rifqi Arrayan Nabila Zulanifa Nasywa Rakha Arrafi Neny Rosmawarni Niqotaini, Zatin Nurhuda Maulana Nurul Afifah Arifuddin Panji Muslim, Muhammad Pebrianti Krissella, Thesa Priyatno, Abimanyu Pujo Hari Saputro Ramadan, Muhammad Nur Alif Rusiyono, Ruwet Saputri, Anisa Fadilah Trisman Hadi, Novi Valerino, Vito Wari, Valtrizt Khalifah Wiati Gusti, Kharisma Yudha, Muhammad Arya Zainal Abidin Achmad