Implementasi Metode Antrean Prioritas dalam Sistem Informasi Servis Kendaraan

Authors

  • Gunawan Tandy Institut Teknologi Harapan Bangsa
  • Tamsir Hasudungan Sirait Institut Teknologi Harapan Bangsa
  • Cut Fiarni Institut Teknologi Harapan Bangsa

DOI:

https://doi.org/10.61769/telematika.v18i2.623

Keywords:

estimasi waktu, sistem informasi servis, UTAUT, antrean, benchmark, priority queue, service information system, queue, antrean prioritas, time estimation

Abstract

Ketepatan informasi jasa merupakan salah satu tolak ukur paling penting dalam kualitas jasa, termasuk salah satunya adalah ketepatan informasi waktu. Salah satu bisnis jasa yang membutuhkan informasi waktu adalah bengkel. Bengkel PGM merupakan bisnis otomotif yang menawarkan jasa servis kendaraan mobil dan motor. Bengkel memiliki kebijakan untuk memberikan perkiraan estimasi waktu penyelesaian untuk transaksi dengan durasi lebih dari satu hari. Akan tetapi, berdasarkan data transaksi pada tahun 2022, saat ini akurasi estimasi tersebut hanya mencapai 68%. Hal tersebut kemungkinan disebabkan oleh beberapa hal, antara lain belum adanya peraturan khusus dalam menentukan servis mana yang perlu dikerjakan terlebih dahulu sehingga urutan pengerjaan dapat dengan mudah berubah yang menyebabkan waktu estimasi tidak tercapai. Agar dapat meningkatkan akurasi estimasi tersebut, dilakukan perancangan sistem informasi servis kendaraan. Sistem usulan yang dirancang bertujuan memberikan solusi dengan mengadopsi metode antrean prioritas. Sistem antrean responsif yang dapat memberikan rekomendasi antrean berdasarkan data bengkel diharapkan dapat meningkatkan ketepatan estimasi yang dibuat. Sistem yang dirancang akan menghitung waktu estimasi setiap transaksi sebelum mengurutkan semua transaksi aktif berdasarkan prioritas. Tingkat prioritas akan berubah sesuai dengan beberapa parameter, seperti durasi, waktu kedatangan, dan sisa waktu estimasi. Metode tersebut diharapkan dapat membantu bengkel dalam meningkatkan ketepatan waktu estimasi dengan memastikan semua servis selesai sebelum waktu estimasi yang ditentukan. Berdasarkan hasil pengujian didapatkan bahwa metode yang digunakan dapat meningkatkan akurasi estimasi menjadi 80%. Hasil akhir yang didapat dalam user acceptance test menggunakan UTAUT menunjukkan bahwa target pengguna memiliki respons positif terhadap sistem, baik secara performace expectancy, effort expectancy, maupun social influence.

 

The accuracy of service information, including time information, is one of the most critical benchmarks in service quality. One of the service businesses that require time information is a repair shop. PGM Workshop is an automotive business that offers car and motorcycle service services. The workshop has a policy to provide an estimated completion time for transactions with a duration of more than one day. However, based on transaction data in 2022, the estimate's accuracy currently only reaches 68%. It was caused by several things, including the absence of specific rules in determining which services need to be done first so that the order of work can easily change, which causes the estimated time not to be achieved. In order to improve the accuracy of the estimation, a vehicle service information system was designed. The proposed system aims to provide a solution by adopting the priority queuing method. A responsive queuing system that can provide queue recommendations based on workshop data is expected to improve the estimates' accuracy. The designed system will calculate the estimation time of each transaction before sorting all active transactions by priority. The priority level will change according to several parameters: duration, arrival time, and remaining estimation time. The method is expected to help workshops improve the accuracy of estimation time by ensuring all services are completed before the specified estimation time. Based on the test results, it is found that the method used can increase the estimation accuracy to 80%. The final results obtained in the user acceptance test using UTAUT show that the target users have a positive response to the system in terms of performance expectancy, effort expectancy, and social influence.

Author Biographies

Gunawan Tandy, Institut Teknologi Harapan Bangsa

Prodi Sistem Informasi

Tamsir Hasudungan Sirait, Institut Teknologi Harapan Bangsa

Prodi Sistem Informasi

Cut Fiarni, Institut Teknologi Harapan Bangsa

Prodi Sistem Informasi

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Published

2024-01-25

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Section

Articles