scholarly journals Analisis Produktivitas Waktu Kerja Alat Berat Pada Pembangunan Lanjutan Reklamasi Dan Jalan Kawasan Kayu Merah-Kalumata

2021 ◽  
Vol 4 (1) ◽  
pp. 59
Author(s):  
M. Irsan Sangadji ◽  
Edward Rizki Ahadian ◽  
M Darwis
Keyword(s):  
Construction Project ◽  
Work Productivity ◽  
Dump Truck ◽  
Construction Work ◽  
Time Efficiency ◽  
Wheel Loader ◽  
Expected Time ◽  
Heavy Equipment ◽  
Work Item ◽  
Vital Resource

The development of the construction world has resulted in the increasing need for heavy equipment for each project. Heavy equipment is a vital resource in a construction project. However, the costs required to procure heavy equipment are not cheap. Therefore, the choice of heavy equipment has a big influence on the efficiency and profitability of construction work. Productivity is used as a guide in determining the duration of each job and the number of heavy equipment to be treated. This research was conducted by observing the field to obtain the time needed by each heavy equipment in the reclamation work which then carried out the calculation of productivity. The results of the research are that the trailer/trailer truck has a productivity of 60.614 minutes, the excavator has a productivity of 21 m³/hour, the roller vibrator has a productivity of 155.625 m³/hour, the wheel loader has a productivity of 91.098 m³ hour, the water tanker has a productivity of 14.229 m³/hour, the motor grader has a productivity is 942,880 m²/hour, and the dump truck has a productivity of 26,981 m³/hour, then after analyzing the productivity of heavy equipment the next stage is calculating the time efficiency that occurs in each work item, and the mobilization work takes 17 days or less than the expected time. it has been planned in the contract document that is 28 days, in the usual piling work from the excavation source it will take 247 days or less than the time planned in the contract document which is 287 days.

scholarly journals ANALISA PENGGUNAAN ALAT BERAT PROYEK PEMBANGUNAN UNDERPASS SIMPANG DEWA RUCI DENPASAR, BALI

2014 ◽  
Vol 8 (2) ◽  
pp. 111
Author(s):  
Andrea Saputra Antang Pratama, Fadjar Purnomo, Muhammad Fajar Subkhan
Keyword(s):  
Soil Compaction ◽  
Construction Project ◽  
Unit Price ◽  
Dump Truck ◽  
Pneumatic Tire ◽  
Heavy Equipment

400 m long and 16 m wide Simpang Dewa Ruci underpass construction project is a new one in Bali. It is of drilled pile system which need heavy equipment for drilling.The purpose of this study is to find out the unit price of some heavy equipment, like drill pile, excavator back hoe, dump truck, wheel dozer, tandem vibratory roller, asphalt finisher, and pneumatic tire roller.The calculations result in unit price of job the drill with drill pile at IDR 93,921.79/m3, unit price of job entrenchment and soil moving with excavator back hoe at IDR 14,656.22/m3, unit price earth moving work with dump truck at IDR 38,324.82/m3, unit price leveling congeries with whell dozer at IDR 2,644.87/m3, unit price soil compaction and asphalt compaction with tandem vibratory roller at IDR 4,034.93/m3, unit price of the spreading asphalt with asphalt finisher at IDR 34,637.50/m3, and unit price asphalt compaction with pneumatic tire roller at IDR 13,478.42/m3.Keywords: capacity, heavy equipment, productivity, unit price, use

scholarly journals Kajian Kompleksitas Proyek Konstruksi : Tinjauan Kegiatan Pengadaan Pekerjaan Konstruksi di Indonesia

2018 ◽  
Vol 13 (1) ◽  
pp. 35-45
Author(s):  
Cut Zukhrina Oktaviani
Keyword(s):  
Construction Projects ◽  
Construction Project ◽  
Government Procurement ◽  
External Factors ◽  
Construction Work ◽  
Project Construction ◽  
Internal And External Factors ◽  
And Control

This paper aims to reviewed construction projects complexity in construction complex procurement. Construction complexity is influenced with many internal and external factors. Complexity covers entire construction project cycles. At construction work procurement stage, organization and processes complexity is a major concern, especially in government procurement. Complexity requires regulation and control are such that it does not happen obstacles at every project construction cycle stage. 

scholarly journals Construction safety performance assessment on construction site through frequency adjusted importance index in Tangerang Selatan

2019 ◽  
Vol 276 ◽  
pp. 02021
Author(s):  
Ferdinand Fassa ◽  
Irma Paramita Sofia
Keyword(s):  
Construction Industry ◽  
Safety Issue ◽  
Rapid Development ◽  
Construction Project ◽  
Safety Training ◽  
Construction Site ◽  
Construction Work ◽  
Importance Index ◽  
The Subject ◽  
Project Site

The construction industry has a huge contribution to economic growth in the world, including Indonesia. Massive urban development occurs as a result of significant population growth. Along with the rapid development, safety issue in the construction site is often neglected. In 2017, there were found that more than 123 thousand cases of construction site accidents have happened. This numbers has increased by almost 20% compared with the number of accidents in 2016. The purpose of this study is to identify significant safety indicators affecting the construction project in Tangerang Selatan. Based on the literature review, a list of 22 safety indicators was produced. These indicators were used in the questionnaire. The main contribution of this paper is providing safety indicators ranking that affects construction work around Tangerang Selatan. The subject of this research includes contractor and consultant experts who work in construction project around Tangerang Selatan. From the survey, we obtained 41 valid responses which then were analyzed using FAII. As a result, we found that the indicator “the company provides safety training for each worker to act safely” has been considered as the most important safety indicator. It is followed by “the contractor always provides PPE such as helmets, boots, gloves, masks, and other tools that can get me out of an accident”. Then the third result is “there are safeguards on the project site; safety signs, fire extinguishers, and security fences”.

scholarly journals Optimization of Heavy Equipment Capabilities in The Framework of Productivity and Coal Mining Business Sustainability: Case Study of East Kalimantan Mining Area

2020 ◽  
Author(s):  
Richmond Sam Quarm ◽  
Mohamed Osman Elamin Busharads ◽  
Richmond Sam-Quarm
Keyword(s):  
Linear Programming ◽  
Coal Mining ◽  
Value Added ◽  
Mining Area ◽  
Production Optimization ◽  
Dump Truck ◽  
East Kalimantan ◽  
Heavy Equipment ◽  
Optimum Cost ◽  
Match Factor

Coal mining business is now faced with various challenges such as export restrictions policy, an increase in value added products, and the decline in market prices of products. To be able to compete, mining companies are expected to increase productivity and efficiency and make continuous improvements in the production process. In the mining process, the availability of equipment and dump truck unloading tool will determine the sustainability of production that have an impact on productivity and efficiency. The purpose of this study was to optimize the production of coal mining in the context of the efficient use of equipment using the match factor, queues, and linear programming. The research location is in the area of the mining concession contractor KTD Corp is in the village of Embalut, District Tenggarong Seberang, Kertanegara Kutai Regency, East Kalimantan in October-November 2015. Unloading equipment used backhoe excavator is 5 units and 32 units of dump trucks. The simulation results match factor generated by the method optimal dump truck needs 26 units, while the queuing method and linear programming as much as 25 units of dump truck. The results of production optimization with linear programming method produced mining productivity of 1,208 BCM of overburden per hour with the optimum cost of $ 0,909/BCM.

scholarly journals Analisis 7S McKinsey PT. Hasil Rotibua Abadi Untuk Perbaikan Organisasi

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Rydho Jalu Nuringtyas
Keyword(s):  
Construction Project ◽  
Building Construction ◽  
School Building ◽  
Construction Work

This study aims to identify and find solutions to delay construction work happening on the SCE project. The SCE project is a school building construction project. The background of this study is due to indications of delay with a difference of 25% between the schedule plan and the reality in the ground. The factors that cause the delay must be well identified so that a larger delay can be avoided and can provide solutions to these problems. From the results of Fishbone analysis and AHP, 11 factors were found to influence the delay in SCE project.

scholarly journals IDENTIFIKASI RISIKO CHANGE ORDER PROYEK KONSTRUKSI JALAN

2021 ◽  
Vol 5 (1) ◽  
pp. 225
Author(s):  
Mega Waty ◽  
Hendrik Sulistio
Keyword(s):  
Construction Projects ◽  
Construction Project ◽  
Road Construction ◽  
Real Data ◽  
Intermediate Frequency ◽  
Risk Identification ◽  
Construction Work ◽  
Change Orders ◽  
Change Order ◽  
The Cost

A Change Order is a written and legal work order that changes the scope of the original contract, with compensation that has been agreed upon by the owner and the contractor. Changes can be in the form of adding or reducing the scope of work, changing materials, or changing schedules. Change Order causes the cost of contract items to swell, planning errors and negligence as well as changes in scope that can be reduced by sharpening planning results. The scope of research on road construction in Indonesia, especially in DKI Jakarta and Banten provinces. This study aims to determine the identification of change orders in road construction projects. Data obtained from real data on road construction projects from 2013-2018 on 16 road construction project packages in the form of road construction project addendum contracts. Based on the addendum contract, added work, less work, addition of new items and removal of work items are determined. The identification of change order risk is seen from three aspects, namely the addition and reduction of work items, the removal of items and the addition of new items and the wishes of the owner, thereby increasing the cost of the change order contract. This study found 732 changes in construction work items. Risk identification is obtained from the frequency of changes above 35% which is an intermediate frequency that tends to increase the occurrence of change orders. The results of risk identification were obtained for 31 construction work items, the highest percentage was for Thermoplastic Road Marking work, followed by 30 other construction work items. Keywords: risk identification; change orders; road construction projects  AbstrakChange Order adalah perintah kerja tertulis dan sah  yang mengubah lingkup kontrak semula, dengan kompensasi  yang sudah disetujui oleh pemilik dan  kontraktor.  Perubahan dapat berupa penambahan atau pengurangan lingkup pekerjaan, perubahan material, atau perubahan jadwal. Change Order menyebabkan biaya  item kontrak membengkak, kesalahan perencanaan dan kelalaian serta perubahan ruang lingkup yang dapat dikurangi dengan mempertajam hasil perencanaan.. Lingkup penelitian pada konstruksi jalan di Indonesia khususnya  provinsi DKI Jakarta dan Banten. Penelitian  bertujuan untuk  mengetahui  identifikasi change order proyek konstruksi jalan. Data didapat dari data riil proyek konstruksi jalan dari tahun 2013- 2018 pada 16 paket proyek konstruksi jalan berupa kontrak addendum proyek konstruksi jalan. Berdasarkan kontrak addendum maka ditentukan pekerjaan tambah, pekerjaan kurang, penambahan item baru dan penghilangan item pekerjaan. Identifikasi risiko change order dilihat dari tiga aspek yakni penambahan dan pengurangan item pekerjaan, penghilangan item dan penambahan item baru dan keinginan dari pihak owner sehingga meningkatkan biaya kontrak change order.  Penelitian ini mendapatkan 732 perubahan  item pekerjaan konstruksi.  Identifikasi risiko didapat dari  frekuensi perubahan diatas 35% yang merupakan frekuensi menengah yang cenderung meningkatkan terjadinya change order. Hasil identifikasi risiko didapat pada  31 item pekerjaan konstruksi, yang tertinggi persentase pada pekerjaan  Marka Jalan Termoplastik, diikuti 30 item pekerjaan konstruksi lainnya.

scholarly journals Beta Distribution for Estimating Risk Associated Time Schedule of Hydropower Projects in Nepal

2021 ◽  
pp. 67-78
Author(s):  
Kiran Kumar Shrestha ◽  
Rabindra Kayastha
Keyword(s):  
Quantitative Analysis ◽  
Construction Projects ◽  
Construction Project ◽  
Simulation Method ◽  
Development Project ◽  
Project Work ◽  
Time Schedule ◽  
Project Schedule ◽  
Expected Time ◽  
Hydropower Construction

Background: Risk is associated with every kind of project work whether it is related to engineering construction project, software development project, financial transaction process or business process. There isn't any project which is free of risks. It is inherent in all types of projects. Observing risk associated with a project can help in successful completion of projects in expected time and expected cost with good assurance of quality. This article is concerned with quantitative analysis of risks coined with hydropower construction project in Nepal. Objective: The main objective of this paper is (a) to identify different activities involved in hydropower construction projects (b) to estimate risk associated time schedule of the identified project activities. Materials and Methods: Data required for the fulfillment of the objective are obtained by interview and discussion with executives of “Shiva Shree Hydropower Limited” and by using project schedule charts of projects won by the company. In this article quantitative analysis of schedule risk of hydropower project is studied by simulation method. Results: Different activities involved in hydropower construction project are identified. Also, risk associated with time schedule of project are observed quantitatively by simulation using beta-PERT distribution. Conclusion: Estimation of time schedule associated with project activities is more realistic when it is analyzed by using beta-PERT distribution compared to other statistical distributions.

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