Said Bambang Nurcahya, Octaviani Ratna Sari Santoso, Fransisca Wuri

RANCANG BANGUN ARTIFICIAL INTELLIGENCE SISTEM INFORMASI ADMINISTRASI PELAYANAN PELANGGAN TRAVEL BINA SARANA SHUTTLE

Introduction

Rancang bangun artificial intelligence sistem informasi administrasi pelayanan pelanggan travel bina sarana shuttle. Rancang bangun sistem informasi AI untuk administrasi layanan pelanggan travel Bina Sarana. Tingkatkan efisiensi, otomatisasi reservasi & pembayaran, serta layanan 24 jam.

Abstract

Teknologi mengalami perubahan yang sangat cepat dan mempengaruhi dunia usaha, Perubahan Teknologi ini juga tidak lepas dari bisnis di bidang  travel perjalanan Jakarta – Bandung, Walau Travel Jakarta Bandung mendapat pesaing baru kereta cepat Jakarta Bandung  woosh, tetapi masyarakat kelas tertentu masih menggunakan moda transportasi travel mobil. Artifial Intellegance membantu perusahaan dalam efisiensi biaya, salah satunya biaya untuk reservasi, pembayaran, dan layanan 24 jam otomatisasi pelayanan pelanggan. Penerapan Artifial Intellegance dalam administrasi perkantoran pelanggan travel Bina Sarana untuk perjalanan Jakarta, Bandung pulang pergi, menjadi trend masyarakat urban yang mempunyai domisili, bisnis, atau client yang berbeda kota, sehingga kebutuhan perjalanan yang mudah dan lebih dekat dari kota asal ke kota tujuan dengan biaya terjangkau menjadi salah satu pilihan. Penelitian ini menggunakan metodogi kualitatif, dengan melakukan observasi, wawancara, forum group Disscution serta menganalisa system pelayanan menggunakan internet system, diharapkan jurnal ini dapat menjadi rujukan pengusaha travel, media, peneliti kampus, dan pengambil kebijakan dalam meningkatkan efisiensi bisnis dibidang travel di Indonesia. Penerapan sistem informasi pelayanan pelanggan travel menggunakan Artificial Intellegence ini masih perlu di sempurnakan yang bisa terhubung bukan cuma, reservasi, pembayaran, dan tiket online 24 jam, tetapi dapat mengajak Lembaga keuangan digital, Suplier Makanan dan Minuman, fashion, dan ojek online untuk bekerja sama dalam satu aplikasi guna memudahkan pergerakan dan kebutuhan bahan pokok lainnya, sehubungan dengan kebutuhan pelanggan  dilapangan kadang butuh one stop shopping di lokasi travel.

Review

This paper presents a timely and relevant endeavor to develop an Artificial Intelligence-based information system for customer service administration at Bina Sarana Shuttle, a travel service operating between Jakarta and Bandung. In an era of rapid technological advancement and increasing competition, notably from high-speed rail, the proposed system aims to enhance cost efficiency through automated reservations, payments, and 24-hour customer service. The abstract effectively highlights the practical benefits for urban travelers, emphasizing ease of access and affordability, positioning the system as a valuable tool for businesses operating in this competitive market. The stated qualitative methodology, incorporating observation, interviews, and focus group discussions, suggests a grounded approach to understanding user needs and existing service limitations. Despite its promising premise, the abstract leaves several critical aspects unclear, particularly concerning the "design and build" (RANCANG BANGUN) aspect and the specific application of Artificial Intelligence. While the paper claims to be about designing and building an AI system, the abstract focuses predominantly on qualitative research methods without detailing the technical design, architectural components, or implementation steps of the AI system itself. There is no mention of the specific AI technologies or algorithms being employed (e.g., chatbots, natural language processing, machine learning for recommendations) that would justify its classification as an "Artificial Intelligence System." Furthermore, the statement that the "application of this AI customer service information system still needs refinement" raises questions about the current stage of development – is it a conceptual design, a prototype, or an early-stage deployment, and how does this relate to the "design and build" claim in the title? To significantly enhance the paper's contribution and clarity, several improvements are recommended. Firstly, the authors should elaborate on the technical specifics of the AI component, detailing the chosen AI methods and how they are integrated into the information system for reservations, payments, and customer service. Secondly, the connection between the qualitative findings and the system's design and development process needs to be explicitly articulated, showing how insights from observations and interviews translated into concrete system features. Finally, while the vision for a "one-stop shopping" application integrating digital finance, F&B, and other services is ambitious and interesting for future work, it should be clearly distinguished from the scope of the current "design and build" project to maintain focus and allow for a thorough evaluation of the initial AI-driven administrative system. Demonstrating the tangible efficiency gains and user satisfaction resulting from the implemented AI system would further strengthen the paper's impact for its target audience.

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