Open access Jurnal SINTA 5
IDENTIFIKASI TITIK KEPUTUSAN DALAM PROSES BISNIS OTOBUS
AnoaTIK: Jurnal Teknologi Informasi dan Komputer · Vol. 2 No. 2 (2024) · pp. 111–120
- ISSN
- 2987-7652
- Published
- 2024-12-10
- Publisher
- Program Studi Ilmu Komputer FMIPA-UHO
- Language
- ind
Abstract
English
This study aims to analyze and optimize business processes in bus companies using the ERP (Enterprise Resource Planning) system approach. By employing Business Process Modeling and Notation (BPMN) to map workflows and data-driven analysis to evaluate operational efficiency and customer satisfaction, the study identifies seven key decision points: ticket order validity, seat availability, bus departure scheduling, route planning, invoice creation, maintenance scheduling, and spare parts fulfillment. The implementation of an ERP system with BPMN provides valuable insights and supports process improvements. The study further recommends the development of a more comprehensive ERP system by integrating advanced data analytics and artificial intelligence (AI) to predict operational needs, such as ticket demand, fleet allocation, and route optimization, enhancing both efficiency and responsiveness in customer service. Ultimately, the study concludes that ERP is a strategic solution to sustain and improve the competitiveness of bus companies in the digital era.
Bahasa Indonesia
Penelitian ini bertujuan untuk menganalisis dan mengoptimalkan proses bisnis pada perusahaan otobus menggunakan pendekatan sistem ERP (Enterprise Resource Planning).Metode yang digunakan adalah pendekatan Business Process Modeling and Notation (BPMN) untuk memetakan alur kerja, serta analisis berbasis data untuk mengevaluasi efisiensi operasional dan kepuasan pelanggan. Hasil penelitian menunjukkan bahwa terdapat 7 titik keputusan utama dalam proses bisnis, yaitu validitas pesanan tiket, ketersediaan kursi, penjadwalan keberangkatan bus, perencanaan rute, pembuatan invoice, penjadwalan pemeliharaan, dan pemenuhan kebutuhan suku cadang. Implementasi sistem ERP dengan metode BPMN. Penelitian ini merekomendasikan pengembangan sistem ERP yang lebih luas dengan memanfaatkan analitik data lanjutan dan kecerdasan buatan (AI). Teknologi ini dapat mendukung prediksi kebutuhan operasional, seperti permintaan tiket, alokasi armada, dan optimasi rute perjalanan, untuk meningkatkan efisiensi operasional dan memberikan layanan pelanggan yang lebih responsif. Penelitian ini menyimpulkan bahwa ERP merupakan solusi strategis untuk mendukung keberlanjutan dan daya saing perusahaan otobus di era digital.
Keywords
Collaboration network of the authors
5 authors · 6 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Islam Negeri Maulana Malik Ibrahim
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Muhammad Andrean Hidayatullah | Universitas Islam Negeri Maulana Malik Ibrahim | 1 |
| Ki Ageng Nasrokh Mangkunegara Putra | Universitas Islam Negeri Maulana Malik Ibrahim | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.