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PERBANDINGAN KELAYAKAN FINANSIAL GEDUNG GREEN BUILDING DAN NON- GREEN BUILDING MENGGUNAKAN METODE MONTE CARLO Ramadian, Yasmin; Oei, Fuk Jin
JMTS: Jurnal Mitra Teknik Sipil Volume 7, Nomor 3, Agustus 2024
Publisher : Prodi Sarjana Teknik Sipil, FT, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmts.v7i3.28079

Since 2011, Indonesia has been committed to reducing greenhouse gas emissions, one of which is by implementing green buildings in office buildings. The aim of implementing green building is to manage and preserve the environment around the building, reduce building operational costs, ensure the continuity of use of the building, and prevent excessive replacement of building equipment. This study aims to analyze the financial feasibility of four office buildings using the Monte Carlo simulation method which is divided into two categories, namely category 1 (gedung 1 and gedung 3) with grade A building type and category 2 (gedung 2 and gedung 4) with building type grade B. Gedung 1 and gedung 2 have received green building certification issued by GBCI. Gedung 3 and gedung 4 are buildings with a conventional concept. Calculation analysis was carried out using the Monte Carlo method by comparing the Net Preset Value (NPV) and Internal Rate of Return (IRR). Based on the results of comparative analysis carried out on four research objects, the risks used are occupancy rates, rental income and inflation. So it is concluded that the NPV of each building is said to be financially feasible with NPV > 0, a comparison of NPV of 290.37% (category 1) and 164.42% (category 2). The IRR obtained exceeded the MARR value, with a comparison of 53.53% (category 1) and 20.87% (category 2). So the results of the Monte Carlo analysis of office buildings with the highest and best NPV are Building 1 and Building 3 (category 1). Abstrak Sejak tahun 2011 Indonesia telah berkomitmen untuk menurunkan emisi gas rumah kaca salah satunya dengan menerapkan green building pada gedung perkantoran. Tujuan dalam penerapan green building adalah untuk mengelola dan menjaga kelestarian lingkungan disekitar bangunan, mengurangi biaya operasional bangunan, menjamin kelangsungan penggunaan bangunan, serta mencegah penggantian terlalu berlebihan pada peralatan bangunan. Studi ini bertujuan untuk menganalisa kelayakan finansial pada empat gedung perkantoran dengan metode simulasi Monte Carlo yang dibagi menjadi dua kategori, yaitu kategori satu (gedung 1 dan gedung 3) dengan tipe bangunan grade A dan kategori dua (gedung 2 dan gedung 4) dengan tipe bangunan grade B. Gedung 1 dan gedung 2 telah mendapatkan sertifikasi green building yang dikeluarkan oleh GBCI. Gedung 3 dan gedung 4 merupakan gedung dengan konsep konvensional. Analisa perhitungan dilakukan dengan menggunakan metode Monte Carlo dengan membandingkan Net Present Value (NPV) dan Internal Rate of Return (IRR). Berdasarkan hasil analisis perbandingan yang telah dilakukan pada empat objek penelitian dengan risiko yang digunakan adalah tingkat occupancy, pendapatan sewa, dan inflasi. Maka disimpulkan bahwa NPV masing-masing gedung dikatakan layak secara finansial dengan NPV > 0, perbandingan NPV sebesar 290,37% (kategori 1) dan 164,42 % (kategori 2). IRR yang didapatkan melebihi dari nilai MARR, dengan perbandingan sebesar 53,53% (kategori 1) dan 20,87% (kategori 2). Sehingga hasil analisis Monte Carlo pada gedung perkantoran dengan NPV tertinggi dan terbaik adalah gedung 1 dan Gedung 3 (kategori 1).

PERBANDINGAN HASIL METODE ANALISIS MULTI KRITERIA: SAW, TOPSIS, DAN MAUT DALAM PEMILIHAN KONTRAKTOR DI PT X William; Oei, Fuk Jin
Jurnal Infrastruktur Vol 10 No 2 (2024): Jurnal Infrastruktur
Publisher : Jurnal Infrastruktur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/infrastruktur.v10i2.6936

PT X, a company operating in the Fast Moving Consumer Goods (FMCG) sector located in East Jakarta, is expanding its Distribution Center (DC) to help increase distribution rates. Selecting the right contractor can help expedite the supply chain and shape the company's strategy. PT X faces several issues related to contractor selection with various criteria in the DC construction process. To address these issues, careful contractor selection is necessary. Multi-Criteria Analysis (MCA) methods such as Simple Additive Weighting (SAW), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Multi-Attribute Utility Theory (MAUT) are used in the contractor selection system. The SAW and MAUT methods have advantages in simple and easy calculations, while TOPSIS excels in detailed data processing. This study aims to compare these three methods in contractor selection for the DC construction tender. The research data were obtained through questionnaires and interviews with stakeholders and PT X management. The analysis results show that, based on Euclidean Distance (ED) and Average Error Rate (AER), the MAUT method is considered more suitable for application at PT X, with an ED value of 0.4012 and an AER of 0%.

PEMODELAN ESTIMASI BIAYA KONSEPTUAL PROYEK GEDUNG SEKOLAH DENGAN MENGGUNAKAN ARTIFICIAL NEURAL NETWORK Oei, Fuk Jin; Kevin Pratama Surya
Jurnal Rekayasa Teknik Sipil dan Lingkungan - CENTECH Vol. 5 No. 2 (2024): Jurnal Rekayasa Teknik Sipil dan Lingkungan, Oktober 2024, ISSN 2722-0230 (Onli
Publisher : UKI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/cen.v5i2.6261

According to Central Bureau of Statistics (Badan Pusat Statistik), in 2015 the population of Special Capital Region of Jakarta was 10,177,900 people with the rate of growth 1.02% per annum. Approximately, 14.7% of the population are students. In order to fulfil the demand of good quality education, the X school foundation develops and builds new schools continuously, especially in Jakarta and its suburbs. The planning of school development should be done well. One of the initial steps is to conduct a feasibility study. Conceptual cost estimation is important at this stage. There are some difficulties in estimating the cost at the conceptual stage, such as the lack of preliminary information about the project, lack of project cost data, incomplete data, et cetera. The purpose of this study is to create model using Artificial Neural Network. To determine the input variables, analysis factors were used. After that, the model was created by using Matlab software. This research was conducted by collecting 15 data of school building projects. The result of this study shows the best Artificial Neural Network model is network architecture 7-5-1 with backpropagation algorithm.

ESTIMASI KEBUTUHAN MATERIAL BETON STRUKTUR DAN BESI TULANGAN DENGAN METODE REGRESI MULTILINIER Renata, Reven; Oei, Fuk Jin
JMTS: Jurnal Mitra Teknik Sipil Volume 7, Nomor 4, November 2024
Publisher : Prodi Sarjana Teknik Sipil, FT, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmts.v7i4.28081

Cost calculation in the early stages of project are the estimates made at the earliest when the project owner needs to understand the possible costs that will be incurred when the project is built. An estimator in the early stages of planning often has little information regarding the project and little time to prepare it, causing the estimate to be less precise and require more effort to carry out. One way to get a more precise estimate is firstly to calculate the material requirements then multiply it with its unit price rate. Multiple linear regression analysis is used as a method to obtain a model for estimating the need for structural concrete and steel rebar. The estimation results are then compared with the actual results to obtain the MAER value for structural concrete and steel rebar. The data processed is in the form of a project dataset of seven hospital projects which drawings are equivalent to Detail Engineering Design (DED) or For Tender documents, and Bill of Quantity (BoQ) documents which calculations of structural concrete and steel rebar have been recapitulated manually by the Quantity Surveyor (QS) consultant company. It was found that the MAER for structural concrete and steel rebar respectively are 22.38 and 28.91. This MAER value can be accepted as a budget estimate in PMBOK. Abstrak Perhitungan biaya di tahap awal perencanaan proyek merupakan suatu estimasi yang dilakukan paling awal pada saat pemilik proyek perlu memahami kemungkinan biaya yang akan dikeluarkan pada saat proyeknya dibangun. Seorang ahli estimasi pada tahap awal perencanaan seringkali memiliki sedikit informasi mengenai proyek dan sedikit waktu untuk mempersiapkannya sehingga menyebabkan estimasinya menjadi kurang tepat dan membutuhkan usaha lebih untuk mengerjakannya. Cara yang dapat dilakukan untuk memperoleh estimasi biaya yang lebih tepat adalah dengan menghitung kebutuhan materialnya terlebih dahulu lalu dikalikan dengan harga satuan pekerjaannya. Analisis regresi multilinier dijadikan sebagai metode untuk memperoleh model estimasi kebutuhan beton struktur dan besi tulangan. Hasil estimasinya lalu dibandingkan dengan nilai aktualnya sehingga didapatkan nilai MAER untuk kebutuhan beton struktur dan besi tulangan. Data yang diolah berupa dataset proyek sebanyak tujuh proyek rumah sakit yang gambarnya setara dengan Detail Engineering Design (DED) atau dokumen For Tender, dan dokumen Bill of Quantity (BoQ) yang perhitungan kebutuhan material beton struktur dan besi tulangannya telah direkapitulasi oleh konsultan Quantity Surveyor (QS) secara manual. Hasil perhitungan diperoleh nilai MAER untuk kebutuhan beton struktur dan besi tulangan sebesar 22,38 dan 28,91. Nilai MAER ini dapat diterima sebagai budget estimate dalam PMBOK.

ANALISIS RISIKO PROYEK JARINGAN TRANSMISI DENGAN METODE DECISION TREE DAN EXPECTED MONETARY VALUE Sianturi, Patrickson; Oei, Fuk Jin
JMTS: Jurnal Mitra Teknik Sipil Volume 7, Nomor 4, November 2024
Publisher : Prodi Sarjana Teknik Sipil, FT, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmts.v7i4.28104

The imbalance between electricity demand and supply in Indonesia necessitates strategic evaluation and action. In response to this issue, the government of the Republic of Indonesia, through the Ministry of ESDM, has designated the construction of the Sumatra 500 kV transmission network as a National Strategic Project to support the growth of communities in Sumatra. This project, undertaken by PT XYZ, poses significant risks for the company as the contractor. Research is conducted through several analysis method such as consequences-probability matrix to identify risks, decision tree method and expected monetary value to determine the risk values. From the study involving 30 respondents and 54 risk variables across 7 categories, four high-risk variables, 46 moderate-risk variables, and four low-risk variables are identified. The most impactful risk category for the project is finance and economics. The four variables with the most substantial impact are: 1) Slow land acquisition and compensation processes; 2) Project funding delays due to the owner's late advance payments/terms; 3) Theft/loss of tower structure and stringing materials; 4) Unavailability of access for materials and equipment to the location. The total cost that needs to be allocated for these four risks to be handled is Rp 88.532.244.788. Abstrak Ketidakseimbangan antara kebutuhan dan pasokan listrik di Indonesia menginduksi perlunya evaluasi dan tindakan strategis. Sebagai respons terhadap permasalahan tersebut, pemerintah Republik Indonesia, melalui Kementerian Energi dan Sumber Daya Mineral, menetapkan pembangunan jaringan transmisi Sumatera 500 kV sebagai Proyek Strategis Nasional (PSN) guna mendukung pertumbuhan masyarakat di Pulau Sumatera. Proyek ini, terutama pada paket 3 yang dikerjakan oleh PT XYZ, memiliki risiko yang signifikan bagi perusahaan sebagai kontraktor. Penelitian dilakukan melalui analisis kualitatif menggunakan matriks probabilitas-dampak untuk mengidentifikasi risiko dan analisis kuantitatif dengan metode decision tree disertai expected monetary value (EMV) untuk mengetahui nilai risikonya. Pada penelitian yang melibatkan 30 responden terhadap 54 variabel risiko dalam 7 kategori ini, teridentifikasi 4 variabel risiko dengan tingkat tinggi, 46 variabel risiko dengan tingkat sedang, dan 4 variabel risiko dengan tingkat rendah. Kategori risiko yang paling dominan dan berdampak pada proyek adalah keuangan dan ekonomi. Keempat variabel risiko dengan dampak paling besar adalah 1) Lambatnya proses akuisisi dan kompensasi lahan; 2) Pendanaan proyek terhambat karena terlambatnya uang muka/termin dari owner; 3) Pencurian/kehilangan material struktur tower dan stringing; 4) Tidak tersedianya akses untuk material dan peralatan ke lokasi. Total biaya yang perlu dialokasikan untuk menangani empat risiko tersebut adalah Rp 88.532.244.788.

ANALISIS PREDIKSI DURASI AKHIR PROYEK DENGAN METODE EARNED VALUE DAN EARNED SCHEDULE Nugroho Melkisedek, Johanes Prasetyo; Oei, Fuk Jin
JMTS: Jurnal Mitra Teknik Sipil Volume 7, Nomor 4, November 2024
Publisher : Prodi Sarjana Teknik Sipil, FT, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmts.v7i4.30380

Project planning and control are crucial factors in measuring the success of a project's development. In project planning and control, methods for predicting delays and accelerating construction are highly necessary. Project control methods have also been developed, such as earned value and earned schedule. These methods can be widely used for time control in projects. Predicting the final duration of a project can utilize data from the planned and. actual S-curve as well as the budget plan. This study was conducted to predict the final duration of house construction in two housing projects with planned durations of 32 weeks (project 1) and 23 weeks (project 2). Based on the calculations using the earned value method, the predicted final durations for the projects are 21.82 weeks for project 1 and 28.81 weeks for project 2. Meanwhile, using the earned schedule method, the predicted final durations are 22.58 weeks for project 1 and 24.92 weeks for project 2. These results indicate that project 1 is expected to be completed earlier, while project 2 is anticipated to be delayed. Abstrak Perencanaan dan pengendalian proyek merupakan faktor penting untuk mengukur kesuksesan pembangunan suatu proyek. Dalam perencanaan dan pengendalian suatu proyek, metode untuk memprediksi keterlambatan serta percepatan pembangunan sangat diperlukan. Metode-metode pengendalian proyek pun dikembangkan seperti earned value dan earned schedule. Metode-metode ini dapat digunakan secara luas untuk pengendalian waktu pada proyek. Dalam memprediksi durasi akhir suatu proyek dapat menggunakan data kurva-S rencana dan realisasi serta rancangan anggaran biaya (RAB). Penelitian ini dilakukan untuk memprediksi durasi akhir pembangunan rumah pada proyek perumahan durasi rencana 32 minggu (proyek 1) dan 23 minggu (proyek 2). Berdasarkan perhitungan menggunakan metode earned value, prediksi durasi akhir untuk proyek tersebut adalah 21.82 minggu (proyek 1) dan 28.81 minggu (proyek 2). Sementara itu, menggunkana metode earned value schedule, prediksi durasi akhir adalah 22.58 minggu (proyek 1) dan 24.92 minggu (proyek 2). Hasil ini menunjukkan bahwa proyek 1 diperkirakan akan selesai lebih cepat, sedangkan proyek 2 diperkirakan akan terlambat.

PERBANDINGAN METODE EARNED SCHEDULE DAN EARNED VALUE DALAM PENGONTROLAN PROYEK PADA ASPEK WAKTU Iskandar, Daniel Nathan; Oei, Fuk Jin
JMTS: Jurnal Mitra Teknik Sipil Volume 8, Nomor 1, Februari 2025
Publisher : Prodi Sarjana Teknik Sipil, FT, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmts.v8i1.30381

Project management success entails effectively managing project performance, progress, and costs. One method that integrates cost, time, and performance aspects is Earned Value (EV). As an evolution of EV, a new method called Earned Schedule (ES) has emerged. Typically, projects experience planned delays, both in terms of time and progress. The purpose of performance analysis using these two methods is to evaluate performance achievement during project implementation and to understand the extent of deviations that may occur in the work. In completing this analysis, the first step is to obtain values from various indicators needed in each project review. From the project 1 analysis results, because the project progresses as planned, which is 16 weeks, the EV method shows delays every week in terms of cost and time aspects. The ES method can demonstrate the duration of delay every week in terms of time aspect, unlike project 2, based on the project 2 data calculation, the ES method excels because in the ES method the SPI(t) value can indicate delays in the last week of the project, as evidenced by the SPI(t) value in week 18 of 0.8888, whereas in the EV method, the SPI value in the last week is 1. The Earned Schedule method excels in project monitoring, especially in projects experiencing delays. Abstrak Keberhasilan dalam manajemen proyek melibatkan pengelolaan kinerja, progres, dan biaya proyek secara efektif. Salah satu metode yang mengintegrasikan aspek biaya, waktu, dan kinerja adalah Earned Value (EV). Sebagai perkembangan dari EV, ada metode baru yang dikenal sebagai Earned Schedule (ES). Umumnya, proyek akan mengalami penundaan yang sudah diantisipasi, baik dalam hal waktu maupun kemajuan pekerjaan. Analisis kinerja menggunakan kedua metode ini bertujuan untuk mengevaluasi pencapaian kinerja selama pelaksanaan proyek dan memahami sejauh mana penyimpangan yang mungkin terjadi dalam pekerjaan tersebut. Dalam menyelesaikan analisis ini, langkah pertama adalah memperoleh nilai dari berbagai indikator yang diperlukan pada setiap tinjauan proyek, dari hasil analisis proyek 1, karena proyek berjalan sesuai dengan rencananya yaitu 16 minggu, metode EV menunjukkan keterlambatan setiap minggu dalam aspek biaya dan waktu. Metode ES dapat memperlihatkan durasi keterlambatan setiap minggunya dalam aspek waktu, berbeda dengan proyek 2, berdasarkan perhitungan data proyek 2, metode ES unggul karena pada metode ES nilai SPI(t) dapat menunjukkan keterlambatan di minggu akhir proyek yang dibuktikan dengan nilai SPI(t) di minggu ke-18 sebesar 0.8888, sedangkan pada metode EV, nilai SPI pada minggu akhir sebesar 1. Metode Earned Schedule unggul dalam pemantauan proyek khususnya pada proyek yang mengalami keterlambatan.

ANALISIS PERBANDINGAN METODE EARNED VALUE MANAGEMENT DAN EARNED SCHEDULE PADA PROYEK PEMBANGUNAN DAN RENOVASI RUMAH Wakano, Vania Yori; Oei, Fuk Jin
JMTS: Jurnal Mitra Teknik Sipil Volume 8, Nomor 3, Agustus 2025
Publisher : Prodi Sarjana Teknik Sipil, FT, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmts.v8i3.34358

The Earned Value Management (EVM) and Earned Schedule (ES) methods are used as project control tools to monitor both cost and schedule performance. This study compares these two methods on two residential projects with less structured project control: the construction of a three-story house in Cakung and the renovation of a two-story house in Mangga Besar. The results of the study indicate different tendencies in the schedule performance assessment between the two methods. In Project 1, observed at week 35, the Schedule Performance Index (SPI) calculated using the EVM method was higher at 0.966 compared to the SPI(t) from the ES method, which was 0.923. This shows that the EVM method estimated a shorter project duration than the ES method. Conversely, in Project 2, observed at week 9, the SPI(t) from the ES method was higher at 0.815 compared to the SPI from EVM, which was only 0.64, indicating that the ES method estimated a shorter project duration than EVM. This difference demonstrates that EVM and ES may yield different assessment tendencies depending on project conditions. Abstrak Metode Earned Value Management (EVM) dan Earned Schedule (ES) digunakan sebagai alat pengendalian proyek baik dari segi biaya maupun waktu. Penelitian ini membandingkan antara kedua metode tersebut pada dua proyek perumahan yang memiliki pengendalian yang kurang terstruktur yakni pada proyek pembangunan rumah 3 lantai di Cakung dan proyek renovasi rumah 2 lantai di Mangga Besar. Hasil penelitian menunjukkan bahwa pada proyek 1 seperti di minggu ke-35, nilai SPI yang diperoleh dari metode EVM lebih besar (0,966) daripada nilai SPI(t) dari metode ES (0,923) sehingga estimasi durasi yang diberikan oleh metode EVM lebih cepat daripada metode ES. Sebaliknya, pada proyek 2 seperti di minggu ke-9, nilai SPI(t) yang diperoleh dari metode ES lebih besar (0,815) daripada nilai SPI dari metode EVM (0,64) sehingga estimasi durasi yang dihasilkan oleh metode ES lebih cepat daripada metode EVM. Perbedaan ini menunjukkan bahwa metode EVM dan ES dapat menghasilkan kecenderungan penilaian yang berbeda tergantung pada kondisi proyek.

Smart Contracts in the Construction Industry: A New Era of Transparency and Efficiency Adiputera, Ryan; Oei, Fuk Jin
Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil Vol. 14 No. 2 (2025): Cantilever (in progress)
Publisher : Department of Civil Engineering and Planning, Faculty of Engineering, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35139/cantilever.v14i2.474

Construction industry often faces challenges such as payment delays, contract disputes, and a lack of transparency and administrative efficiency. Smart contract technology based on blockchain offers an innovative approach to address these issues through transparent, automated, and tamper-resistant systems. This study explores various applications of blockchain and smart contracts in construction projects, including solutions for automated progress payments, digital contract management, quality improvement, and technology-based dispute resolution, using the Systematic Literature Review (SLR) method. Smart contract systems can execute payments automatically based on verified work progress, while blockchain technology ensures secure and immutable data recording. Additionally, integration with technologies such as Building Information Modeling (BIM) and the Internet of Things (IoT) enhances real-time project management. Despite offering numerous benefits, the implementation of these technologies still faces challenges such as regulatory uncertainty, infrastructure readiness, and the need for standardization. This study highlights that the adoption of blockchain and smart contracts holds significant potential to drive efficiency, fairness, and digital transformation in the construction sector.

ANALISIS PENGENDALIAN PROYEK DENGAN METODE CRASHING PADA PROYEK PT X DI JAKARTA Retor, Gerald Dennis Joseph; Oei, Fuk Jin
JMTS: Jurnal Mitra Teknik Sipil Volume 6, Nomor 4, November 2023
Publisher : Prodi Sarjana Teknik Sipil, FT, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmts.v6i4.24974

Project development often encounters obstacles that cause delays in project activities that have previously been planned in the scheduling process. The purpose of this study is to determine the duration of project completion time on the PT X Project in Jakarta using the crashing method of adding overtime hours and labor at an optimal cost, and to compare which method has the shortest duration of completion time at an optimal cost. From the calculation of the acceleration of project time and cost, it can be compared to the acceleration of adding 4 hours of work (overtime) with a reduction in duration of 40 days where the project completion time of the project which was originally 515.5 days became 475.5 days and the total cost of normal work which amounted to Rp 9,560,710,930 became Rp 9,857,229. 805 or an increase of 3.101% from the total cost of the normal project, while with the addition of labor with a reduction in duration of 50 days where the project completion time of the project becomes 465.5 days and the total cost of normal work which amounts to Rp 9,560,710,930 to Rp 9,651,997,862 or an increase of 0.954% from the total cost of the normal project. Based on the results of the sensitivity analysis of crashing with the addition of working hours and overtime, it is found that crashing with the addition of labor is better in terms of time and cost. Abstrak Pembangunan proyek sering dijumpai kendala yang menyebabkan terjadinya keterlambatan aktivitas proyek yang sebelumnya telah direncanakan dalam proses penjadwalan (scheduling). Tujuan penelitian ini ialah untuk menentukan durasi waktu penyelesaian proyek pada Proyek PT X di Jakarta menggunakan metode crashing penambahan jam lembur dan tenaga kerja dengan biaya yang optimal, dan untuk membandingkan metode mana yang memiliki durasi waktu penyelesaian terpendek dengan biaya yang optimal. Dari perhitungan percepatan waktu dan biaya proyek dapat dibandingkan percepatan penambahan 4 jam kerja (lembur) dengan pengurangan durasi 40 hari dimana waktu penyelesaian proyek proyek yang awalnya 515,5 hari menjadi 475,5 hari dan total biaya pekerjaan normal yang jumlahnya sebesar Rp 9.560.710.930 menjadi Rp 9.857.229.805 atau naik 3,101% dari total biaya proyek normal, sedangkan dengan penambahan tenaga kerja dengan pengurangan durasi 50 hari dimana waktu penyelesaian proyek proyek menjadi 465,5 hari dan total biaya pekerjaan normal yang jumlahnya sebesar Rp 9.560.710.930 menjadi Rp 9.651.997.862 atau naik 0.954% dari total biaya proyek normal. Berdasarkan hasil analisis sensitivitas dari crashing dengan penambahan jam kerja dan lembur didapat bahwa crashing dengan penambahan tenaga kerja lebih baik dalam segi waktu dan biaya.

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