ANALISIS TARIF TOL KENDARAAN ANGKUTAN BARANGBERDASARKAN ABILITY TO PAY DAN WILLINGNESS TO PAY(Studi Kasus Tol Bakauheni – Terbanggi Besar)
Bibliographic record
Abstract
Berdasarkan keputusan dari PT Hutama Karya Jalan Tol (persero), tarif tol Bakauheni – Terbanggi Besar dinaikkan mulai dari 25 Mei 2023. Dampak dari kenaikan tarif tol tersebut mempengaruhi sektor transportasi dan ekonomi, khususnya tarif pada jasa angkutan barang dan penggunaan jalan tol terhadap angkutan barang itu sendiri. Dengan adanya permasalahan tersebut, maka dilakukan penelitian terhadap tarif tol eksisting yang bertujuan untuk mendapatkan tarif tol yang ideal agar penggunaan pada jalan tol tidak berkurang dari sebelumnya. Pada penelitian ini menggunakan pendekatan berdasarkan ability to pay (ATP), willingness to pay (WTP), dan Besar Keuntungan Biaya Operasional Kendaraan (BKBOK). Berdasarkan nilai ATP, WTP, dan BKBOK yang didapat, maka usulan tarif tol ideal terhadap segmen atau ruas Bakauheni – Terbanggi Besar sebesar Rp1.203,57/km – Rp1.600/km untuk kendaraan Gol. II dan Gol. III. Sedangkan usulan tarif tol ideal terhadap segmen atau ruas Bakauheni – Terbanggi Besar sebesar Rp1.699,85/km – Rp2.200/km untuk kendaraan Gol. IV dan Gol. V. Kata kunci: ATP, WTP, BKBOK, Tarif Tol. 2 ABSTRACT ANALYSIS OF TOLL RATES FOR TRUCK VEHICLES BASED ON ABILITY TO PAY AND WILLINGNESS TO PAY (Case Study Bakauheni – Terbanggi Besar Toll Road) By MUHAMMAD KHANZA DAFFARA ARDI In the beginning on May 25, 2023, the Bakauheni – Terbanggi Besar toll prices was raised in accordance with a decision made by PT Hutama Karya Jalan Tol (Persero). The transportation and economic sectors are impacted by the rise in toll prices, particularly the tariffs on goods transportation services and the usage of toll roads for actual goods movement.In light of these issues, studies on current toll structures have been conducted in an effort to determine the optimal toll structure in order to prevent a decline in the use of toll roads. The methodology used in this study is based on ability to pay (ATP), willingness to pay (WTP), as well as the profit margin from vehicle operating costs (BKBOK). For Class II and Class III vehicles, the ATP value is Rp. 2025/km, while for Class IV and Class V vehicles, it is Rp. 2700/km, according to the calculation results. Based on the ATP, WTP, and BKBOK values obtained, the proposed ideal toll rate for the Bakauheni – Terbanggi Besar segment or section is IDR 1,203.57/km – IDR 1,600/km for Class II and Class III vehicles. Meanwhile, the proposed ideal toll rate for the Bakauheni – Terbanggi Besar segment or section is IDR 1,699.85/km – IDR 2,200/km for Class IV and Class V vehicles. Keywords: Ability to pay, Willingness to pay, BKBOK, Toll Tariff
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".