Analysis of Business Innovation Strategies of Light Rail Transit (LRT)

Pipit Fitri Rahayu(1), Agustina Marzuki(2), Agung Anggoro Seto(3),
(1) Universitas Tridinanti Palembang  Indonesia
(2) Universitas Tridinanti Palembang  Indonesia
(3) Politeknik Negeri Sriwijaya  Indonesia

Corresponding Author


DOI : https://doi.org/10.24036/011090800

Full Text:    Language : en

Abstract


This research aimed to formulate the business innovation strategy of LRT in Palembang. The type of this research was qualitative descriptive. The population used in this study was all users of the LRT. The sampling technique was accidental sampling with a total number of 200 respondents consisting of the LRT’s users and the local communities. This sample also included 5 informants who served as employees of LRT Palembang. The data were collected from both primary and secondary sources. The data were then processed using a SWOT analysis. The results showed that the analytical value of the internal factors was 2.80, and the analytical value of the external factors was 2.3, meaning that the right business innovation strategies for the LRT were strategies with the nature of Strenght Threat (ST). The forms of innovation strategies that can be developed include conducting service promotion, establishing cooperation with other companies, building connectivity with other modes of transportation through government support, and maximizing infrastructure and facilities to create support services or other business units.

Keywords


LRT, SWOT, Innovation, Strategy, Business

References


Anisah, S. (2019). Analisis Persepsi Pengguna Layanan Transportasi LRT Kota Palembang (Doctoral dissertation, Universitas Lampung).

Aji, K. (2019). The Customers’ Perception of Excellent Service in LRT South Sumatera (Doctoral dissertation, Politeknik Negeri Sriwijaya).

Billings, S. B. (2011). Estimating the value of a new transit option. Regional Science and Urban Economics, 41(6), 525-536.

Cao, J. (2013). The association between light rail transit and satisfactions with travel and life: evidence from Twin Cities. Transportation, 40(5), 921-933.

Cao, X. J., & Ettema, D. F. (2014). Satisfaction with travel and residential self-selection: How do preferences moderate the impact of the Hiawatha Light Rail Transit line?. Journal of Transport and Land Use, 7(3), 93-108.

Cao, X. J., & Schoner, J. (2014). The influence of light rail transit on transit use: An exploration of station area residents along the Hiawatha line in Minneapolis. Transportation Research Part A: Policy and Practice, 59, 134-143.

Chang-fu, H., & Yuan, X. (2011). Research on the role of urban rail transit in promoting economic development. Procedia Engineering, 21, 520-525.

Currie, G., & Delbosc, A. (2013). Exploring comparative ridership drivers of bus rapid transit and light rail transit routes. Journal of Public Transportation, 16(2), 3.

David Fred, R. (2011). Strategic Management: Concepts and Cases. New Jersey, United States.

Dell'Olio, L., Ibeas, A., Dominguez, A., & Gonzalez, F. (2012). Passenger preference analysis: light rail transit or bus versus car. Transport, 27(3), 276-285.

Dwitasari, R., & Priyanto, S. (2017). Faktor-faktor yang Mempengaruhi kualitas Pelayanan Light Rail Transit (LRT) di Yogyakarta. Jurnal Transportasi Multimoda, 14(4), 169-176.

Ewing, R., Tian, G., Spain, A. (2014). Effect of Light-Rail Transit on Traffic in a Travel Corridor. NITC-RR-611. Portland, OR: Transportation Research and Education Center (TREC). https://doi.org/10.15760/trec.56.

Helms, M. M., Rodríguez, M. A., de los Ríos, L., & Hargrave, W. (2011). Entrepreneurial potential in Argentina: a SWOT analysis. Competitiveness review: An international business journal, 21(3), 269-287.

Intanti, R., Agustien, M., & Kurnia, A. Y. (2019). Analisis Kebutuhan Park and Ride Pada Stasiun Light Rail Transit (LRT) (Studi Kasus Stasiun LRT Jakabaring Kota Palembang) (Doctoral dissertation, Sriwijaya University).

Luong, T. T., & Houston, D. (2015). Public opinions of light rail service in Los Angeles, an analysis using Twitter data. IConference 2015 Proceedings.

Love, P. E., Ahiaga-Dagbui, D., Welde, M., & Odeck, J. (2017). Light rail transit cost performance: Opportunities for future-proofing. Transportation Research Part A: Policy and Practice, 100, 27-39.

Liu, C., Shu, T., Chen, S., Wang, S., Lai, K. K., & Gan, L. (2016). An improved grey neural network model for predicting transportation disruptions. Expert Systems with Applications, 45, 331-340.

Muktaf, F. (2018). Pengaruh Discretionary Activities Terhadap Keberminatan Menggunakan LRT Palembang (Doctoral dissertation, Universitas Gadjah Mada).

Noprizal, A. (2019). Faktor-Faktor Yang Mempengaruhi Kepuasan Pelanggan Pada Jasa Transportasi LRT Palembang (Doctoral dissertation, Universitas Muhammadiyah Palembang).

Noor, S. (2014). Penerapan analisis SWOT dalam menentukan strategi pemasaran Daihatsu Luxio di Malang. Jurnal intEkna, 2, 102-209.

Putri, D., Faisal, E. E., & Kurnisar, K. (2019). Faktor-faktor yang Mempengaruhi Minat Masyarakat dalam Menggunakan Transportasi Light Rail Transit (LRT) di Palembang. (Doctoral dissertation, Sriwijaya University).

Suryana, S., Sekaran, U., Lee, S., Stearns, T., & Geoffrey, G. M. (2013). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. International Journal of Management, 56(8), 143-154.

Topalovic, P., Carter, J., Topalovic, M., & Krantzberg, G. (2012). Light rail transit in Hamilton: Health, environmental and economic impact analysis. Social Indicators Research, 108(2), 329-350.

Veny Mayasari, S. E., Liliana, S. E., & Seto, A. A. (2019). Buku Ajar Pengantar Kewirausahaan: Dengan Pendekatan Hasil Penelitian. Ayra Luna.

Wu, G., Zhang, L., Zhang, W. B., & Tomizuka, M. (2012). Signal optimization at urban highway rail grade crossings using an online adaptive priority strategy. Journal of transportation engineering, 138(4), 479-484.


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