MANAJEMEN RESIKO GOJEK

Andreas, Rikky (2025) MANAJEMEN RESIKO GOJEK. S2 thesis, Universitas Kristen Indonesia.

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Abstract

Gojek adalah perusahaan transportasi online terbesar di indonesia. Walaupun sebagai perusahaan start-up terbesar yang sudah lama berdiri GoTo sebagai perusahaan gabungan dari Gojek dan Tokopedia belum juga mendapatkan laporan keuangan yang positif. Sebagai salah satu bagian dari GoTo, tentu pendapatan dari Gojek sangatlah berpengaruh pada laporan keuangan GoTo. Oleh karena itu percepatan laporan keuangan yang positif diharapkan dapat diwujudkan dengan memaksimalkan pendapatan dari Gojek itu sendiri. Untuk mewujudkan hal tersebut Gojek perlu memitigasi risiko proses bisnisnya seminim mungkin agar perusahaan mendapat penghasilan yang maksimal. Tujuan dari penelitian ini adalah mengidentifikasi risiko, menganalisis risiko dan membuat mitigasi risiko. Metode yang dipakai adalah Mixed Methods. Hasilnya menunjukan ada 33 risiko dalam bisnis Gojek, kebanyakan daripadanya yaitu adalah risiko dengan grade medium sebesar 22 (66,67%). Dari tiga layanan utama Gojek (Goride, Gofood dan Gosend), layanan yang mempunyai risiko paling banyak adalah layanan Goride dengan 28 Risiko. Gojek telah memasang manajemen risiko yang baik dalam proses bisnisnya, ini terbukti dari 27 risiko yang telah diidentifikasi telah dimitigasi Gojek menjadi risiko rendah (Low risk) dan risiko sangat rendah (Very Low Risk). Risiko residual yang menjadi bahan perhatian dan perlu penambahan mitigasi ada 6 Risko, yaitu R13 penginstallan third application dapat dimitigasi dengan penggantian karyawan lapangan lama dengan yang baru dan lebih berintergritas, R16 order fiktif dapat dimitigasi dengan mekanisme pelaporan order fiktif yang dibuat menjadi lebih mudah dan tidak ribet, R19 Driver yang punya alasan tertentu dengan sengaja membiarkan penumpang menunggu lama dapat dimitigasi dengan pembuatan sanksi kecil sementara untuk pelanggaran tersebut, R20 kolusi dengan persepakatan antara customer dan driver untuk menjalankan order secara offline yang dapat dimitigasi dengan pengembalian skema bonus terdahulu yang lebih ringan jumlahnya, R21 driver menipu dengan berbohong dan mengaku-ngaku sebagai driver yang tertera dalam aplikasi dapat dimitigasi dengan penelitian fenomena lebih lanjut dan pembuatan regulasi yang jelas mengenai pelanggaran ini dalam TARTIBJEK, dan R25 driver melanggar peraturan lalu lintas dengan kesadaran sendiri atau dorongan dari customer yang dapat dimitigasi dengan pemberian sanksi yang lebih jelas dan nyata pada driver yang melakukan pelanggaran lalu lintas. / Gojek is the biggest online transportation company in indonesia. Although as a biggest start-up company that already around for a long time, GoTo as the Merger company of Gojek and Tokopedia still didn’t up to positive financial statements. As part of GoTo, Gojek Revenue have significantly effect the to financial statements of GoTo. Therefore it is expected by maximize Gojek income will embody the accelerate of GoTo financial statements. To make that happen Gojek need to mitigate risk of their business processes so that the company will get the maximum income. The purpose of this research is Risk Identification, Risk Analysis and create risk mitigation. Method that used in the research is Mixed Methods. The result shows that Gojek have 33 risks that contained inside their business processes, most of them is medium risks grade in the amount of 22 Risks (66,67%). Between three main services of Gojek (Goride, Gofood and Gosend), Goride is the service that have most risks in it’s processes with 28 Risks. The result shows also that Gojek set a good risk management on their business proccesses, it’s proved by 27 of 33 Risks that indentified at risk management was decreased to Low Risk and Very Low Risk grade because of mitigation that was installed by Gojek. The residual risks still need being concern and additional mitigation because they still have big grade level of risk even after reduction by Gojek. The residual risks is R13 (Third application instalation) which can be additionally mitigated by Replacement of old field staff with a new one that have high integrity, R16 (Fake order) which can be additionally mitigated by simplify reporting mechanism of fake orders that not complicated processes, R19 (Customer being left too long by drivers because of personal preference or personal reason) which can be additionally mitigated by adding minor sanctions to this offense as example periodic suspend start from 5 minutes and so on, R20 (Collusion aggrement that was approved by driver and customer to execute order by switching off Gojek application (offline)) which can be additionally mitigated by restorement of old periodic incentive with lighter in number, R21 (Driver try to deceiving and lying with customer by said he was the intended driver that was list on the application) which can be additionally mitigated by Do more research about this phenomenon and creating clear regulation about this phenomenon that will be list in TARTIBJEK, R25 (Traffic violation by drivers with driver’s initiative or customer’s threats) which can be additionally mitigated by firm realization prohibitions and sanctions to a driver which do the traffic violations.

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