Penentuan Prioritas Pengambilan Pesanan Barang Oleh Angkutan Kota dengan Metode Rule-Based System

*Nur Aini Rakhmawati -  Institut Teknologi Sepuluh Nopember, Indonesia
Aditya Septa Budi -  Institut Teknologi Sepuluh Nopember, Indonesia
Faizal Johan Altetiko -  Institut Teknologi Sepuluh Nopember, Indonesia
Fajar Ramadhani -  Institut Teknologi Sepuluh Nopember, Indonesia
Nanda Kurnia Wardati -  Institut Teknologi Sepuluh Nopember, Indonesia
Kartika Maulida Hindrayani -  Institut Teknologi Sepuluh Nopember, Indonesia
Received: 17 Nov 2018; Revised: 4 Dec 2018; Accepted: 15 Jan 2019; Published: 25 Nov 2018; Available online: 3 May 2019.
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Section: Research Articles
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Abstract

Angkotin is a system that provides an alternative for urban transport to not only be used for passenger transportation, but also as freight service. Therefore, it needs a decision support system for taking order to delivery to the destination according to each criterion from urban transportation. The method used to develop this decision support system is a rule-based system. The result of this research is a decision support system that can help public transportation to find orders that can be taken based on four factors, such as distance, direction, route code, and status of storage capacity. Based on these four factors, the system can provide an order recommendation under the appropriate conditions through the Angkotin application. Based on our experiment, our system performs on 7 seven cases as expected.   

Keywords
Decision Support Systems; Dispatch Systems; Goods Shipment; Rule-Based System

Article Metrics:

  1. Abraham, A., 2005. Rule-based Expert Systems. Handb. Meas. Syst. Des. 1(g), 909–919.
  2. Asadi, R., Ghatee, M., 2015. A Rule-based decision support system in intelligent hazmat transportation system. IEEE Trans. Intell. Transp. Syst 16 (5), 2756–2764.
  3. Hariyono, D.W., 2015. Penyelenggaraan Angkutan Orang dengan Kendaraan Umum di Surabaya Implementation of Passenger Transport with Public Transport in Surabaya 2 (22), 177–190.
  4. Joewono, T.B., Tarigan, A.K.M., and Susilo, Y.O., 2016. Road-based public transportation in urban areas of Indonesia: What policies do users expect to improve the service quality?. Transp. Policy 49, 114–124.
  5. Mansyur, R., Rahmat, R. A.O.K., Ismail, A., 2013. A prototype rule-based expert system for travel demand management. UNIMAS E-Journal Civ. Eng 4 4 (1), 34–39.
  6. Panjaitan, J. E., Yuliati, A.L. 2016. Pengaruh kualitas pelayanan terhadap kepuasan pelanggan pada JNE cabang Bandung. DeReMa (Development Research of Manage-ment): Jurnal Manajemen, 11(2), 265-289.
  7. Prasetya, H. D., Legowo, M., 2016. Rasionalitas Ojek Konvensional dalam Mempertahankan Eksistensi di Tengah Adanya Gojek di Kota Surabaya, 7.
  8. Soehodho. S., 2017. Public transportation development and traffic accident prevention in Indonesia. IATSS Res 40 (2), 76–80.
  9. Sudjatmiko, W. D., 2013. Sistem Pendukung Keputusan Pemberian Kredit Pada Koperasi Mitra Mandiri Sejahtera Kota Semarang, pp.1–7.
  10. Tahir, A., 2005. Angkutan massal sebagai alternatif mengatasi persoalan kemacetan lalu lintas kota Surabaya. J. SMARTek 3, 169–182.
  11. Turban, E., Aronson, J.E., Liang, T.P., 2011. Decision Support Systems and Intelligent Systems (7th Edition). Prentice-Hall, Inc., Upper Saddle River, NJ, USA.
  12. Wheatley, M. D., 1984. Expert Systems in Transport–Part 1: An Introduction to Expert Systems.