Setyawan, Rachmadi (2018) Studi Kelayakan Pembangunan Jalan Tol Porong - Gempol. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
Preview |
Text
10111410000047-Undergraduate-Theses.pdf - Accepted Version Download (6MB) | Preview |
Abstract
Kabupaten Sidoarjo merupakan kota yang mulai dipadati
penduduk karena letak geografisnya bersebelahan dengan Kota Surabaya. Jalur tersebut merupakan jalur distribusi barang produksi untuk pabrik – pabrik yang ada di daerah Kabupaten Pasuruan maupun sebaliknya. Namun kondisi jalan nasional yang ada saat ini tidak memungkinkan tercapainya waktu tempuh yang efisien karena setiap kendaraan dengan tujuan memasuki tol Gempol – Pandaan harus keluar ke Jalan Arteri Baru Porong lalu memasuki gerbang tol Gempol Pandaan. Untuk menyelesaikan studi ini, analisis kelayakan dilakukan dengan kontrol alinyemen horizontal, menghitung nilai penghematan dari Biaya Operasional Kendaraan (BOK) jalan eksisting dan jalan tol menggunakan persamaan PCI, nilai waktu tempuh (time value) jalan eksisting dan jalan tol dengan harga dasar menggunakan Produk Domestik Regional Bruto (PDRB), Benefit Cost Ratio(BCR), Net Present Value (NPV), tarif tol, dan
IRR Hasil dari studi kelayakan ini menunjukkan angka EIRR
22,68% dan Benefit Cost Ratio 346,3. Untuk kelayakan finansial, nilai Benefit Cost Ratio 13,41 dan Nilai NPV sebesar Rp26,216,796,410,183 dan FIRR sebesar 9,81%. Karena itu, Tol Porong – Gempol layak dibangun secara finansial.
======================================================================================================
There are two categories of pawning customers in Fintech X companies,
namely early payment and late payment customers. Each category of customer there
is the duration of repayment of dependent goods. Therefore it is important for the
company to get initial information related to the condition of the customer whether
good or bad. A good customer is a customer who is getting faster in paying off the
dependents while a bad customer is a customer who is paying off the dependent
longer. To overcome the problem there are two stages of modeling. The first stage
is the classification of customers who are early payment or late payment. The
second phase analyzes survival for each customer category. The method used in the
first stage of Binary Logistic Regression, SVM and Ensemble SVM. While in the
second stage is Cox Proportional Hazard and SVM survival. To support the
conclusions at the classification stage, a simulation study was conducted by
generating some predictor variable scenarios. The results of the simulation study
found that Ensemble SVM is able to compensate for SVM performance and logistic
regression. However, when applied to customer data Fintech X, the performance of
the proposed classification method does not give good results. This is due to the
absence of variables that can really discriminate the category of early payment
customers and late payment. In the next stage, SVM survival has a better
performance than Cox Proportional Hazard. SVM Survival excels in every
customer category. One possible survival of SVM better because the assumption of
Cox Proportional Hazard is not met.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSIS 620.004 52 Set s-1 3100018077563 |
| Uncontrolled Keywords: | Feasibility Study, Economical analysis, Financial analysis |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA169 Reliability (Engineering) T Technology > TE Highway engineering. Roads and pavements > TE175 Road and highway design T Technology > TE Highway engineering. Roads and pavements > TE7 Transportation--Planning |
| Divisions: | Faculty of Vocational > Civil Infrastructure Engineering (D3) |
| Depositing User: | rachmadi setyawan |
| Date Deposited: | 15 Oct 2020 04:42 |
| Last Modified: | 15 Oct 2020 04:42 |
| URI: | http://repository.its.ac.id/id/eprint/55511 |
Actions (login required)
 |
View Item |