Construction Material and Equipment Demand Estimation in Indonesia

Similar documents
Problems in Materials and Equipment Procurement of Indonesian Contractors

ANALYSIS OF TERM OF TRADE (TOT) For INDONESIA BAUXITE

ARCHETYPE GROWTH AND UNDERINVESTMENT & TRAGEDY OF THE COMMONS

ESTIMATING THE ENVIRONMENTAL IMPACTS OF CARBON EMISSIONS FROM FUEL CONSUMPTION DURING CONSTRUCTION ACTIVITIES PEZHMAN SHAHID

ABSTRACT. Keywords: Quality cost reports, Managerial decision making. vii. Universitas Kristen Maranatha

PT Arupa Cloud Nusantara Dokumen Standar Perjanjian Standard Form of Agreement

SIZING OF ENERGY STORAGE BASED ON LOSS OF LOAD PROBABILITY OF STANDALONE PHOTOVOLTAIC SYSTEMS RAZMAN BIN AYOP UNIVERSITI TEKNOLOGI MALAYSIA

AVAILABLE TRANSFER CAPABILITY BASED ON RANDOMLY GENERATED PROBABILISTIC DISTRIBUTION FUNCTION OF WIND SPEED USING MONTE CARLO SIMULATION

JST Journal of Saintech Transfer

THE EFFECT OF MARKETING MIX ON GUEST SATISFACTION AND GUEST RETENTION IN FIVE STAR HOTELS RONAK RAEESI

PUSAT PENGAJIAN DIPLOMA LEMBARAN AMALI

PREDICTION ON WATER QUALITY OF POINT SOURCE POLLUTION FOR LUNCHOO RIVER, JOHOR RAFIDAH BINTI SHAHPERI

POTENTIAL OF SOLAR FARM DEVELOPMENT AT UTM CAMPUS FOR GENERATING GREEN ENERGY SHAHRUL NIZAM BIN MOHAMMAD

ABSTRAK PENDUGAAN BIOMASSA PADA KAWASAN HUTAN DI BALI BARAT MENGGUNAKAN CITRA LANDSAT

IMPLEMENTASI KONSEP GUDANG ERP PADA PERUSAHAAN BARE CORE MENGGUNAKAN ODOO 10 (PT. ALBASIA NUSA KARYA)

TABLE OF CONTENTS DECLARATION DEDICATION ACKNOWLEDGEMENTS ABSTRACT

USER RESISTANCE FACTORS IN POST ERP IMPLEMENTATION SAYEED HAIDER SALIH MAHMOUD

FLOOD DAMAGE ASSESSMENT MODEL USING COST-BENEFIT ANALYSIS NOR AZLIZA BINTI AKBAR

PRIORITIZATION OF ROAD NETWORK CONSTRUCTION IN BACAN ISLAND OF NORTH MALUKU PROVINCE

Analysis of Customer Satisfaction in PT. X Using Service Quality Method and Importance-Performance Analysis

IBG 311 ENZYME TECHNOLOGY [TEKNOLOGI ENZIM]

PERFORMANCE OF SAND SHEET ASPHALT MIXTURE INCORPORATING RECLAIMED ASPHALT PAVEMENT

The Effect Of Employees Competency, Application Of Performance-Based Budgeting And Functional Supervision On The Performance (LKD) SKPD

STANDARD OPERATING PROCEDURES OF THE INTEGRATED DESIGN AND BUILD TOLL ROAD CONSTRUCTION IN INDONESIA

CORPORATE GOVERNANCE REPORTING, CAMEL FRAMEWORK AND BANK PERFORMANCE SITI NURAIN MUHMAD DOCTOR OF PHILOSOPHY UNIVERSITI MALAYSIA TERENGGANU

SharePoint 2013 Implementation Strategy for supporting KM System Requirements in Nuclear Malaysia

OPTIMIZATION OF A MULTI-OBJECTIVE-MULTI-PERIOD TRAVELING SALESMAN PROBLEM WITH PICKUP AND DELIVERY USING GENETIC ALGORITHM SEYED POURYA POURHEJAZY

PEMBANGUNAN INFRASTRUKTUR KERETA CEPAT JAKARTA - BANDUNG 2 7 N O V E M B E R

RELIABILITY ANALYSIS FOR CRITICAL COMPONENTS OF RSG- GAS PRIMARY COOLING SYSTEM

UNIVERSITI PUTRA MALAYSIA

STUDY ON IRON AND MANGANESE REMOVAL IN RIVER WATER FOR TEXTILES INDUSTRY USAGE ZAITON BIN SAMAD UNIVERSITI TEKNOLOGI MALAYSIA

Rate of Return to Education and Institutional Labour Market Reform in Urban China

EFFECTS OF CHEMICAL MECHANICAL POLISHING (CMP) PARAMETERS ON NIP/AL SUBSTRATE SURFACE CHARACTERISTICS MOHD AIDIL BIN ROSLI

This item is protected by original copyright

THE DISPUTE SETTLEMENT OF GOVERNMENTAL CONSTRUCTION WITH FOREIGN BUSINESS ENTITIES IN A CONTRACT OF CONSTRUCTION INFRASTUCTURE SUPPLY Ω

Design Of Web Based Monitoring System For Essential Plantation

TABLE OF CONTENTS TITLE ACKNOWLEDGMENT ABSTRACT ABSTRAK

Time And Cost Comparison Of Conventional And Alternative Plate Hollow Slab, Halfslab And Metaldeck

MINIMIZING CONFLICTS DURING CONSTRUCTION STAGE BY USING BUILDING INFORMATION MODELING MOHD FAIZ BIN SHAPIAI

UNIVERSITI PUTRA MALAYSIA DEVELOPMENT OF A FUZZY LOSS-BASED PROCESS CAPABILITY INDEX

OPTIMUM UTILIZATION OF QUARRY DUST AS PARTIAL REPLACEMENT OF SAND IN GREEN CONCRETE

UNIFIED CONSTITUTIVE MODELS FOR DEFORMATION OF THIN-WALLED STRUCTURES SITI SYALEIZA BINTI ARSAD

PROPERTIES OF ASPHALTIC CONCRETE AC14 CONTAINING COCONUT SHELL AS COARSE AGGREGATE SITI NUR AMIERA BINTI JEFFRY

GENDER PREFERENCES AND INSTAGRAM HASHTAG USAGE ON #MALAYSIANFOOD ZHANG YE

OPTIMAL DESIGN OF WATER NETWORK WITH IMPOVED OPERABILITY MOHAMMADREZA DEHGHANI UNIVERSITI TEKNOLOGI MALAYSIA

WIND EFFECTS ON SYMMETRICAL MULTIPLE CORE WALL SYSTEM OF HIGH-RISE BUILDING HAZWANI BINTI SAMSUDIN

SOILDust Soil Road Dust Control

CC607: WATER & WASTE WATER ENGINEERING

BUSINESS PROCESS IMPROVEMENT (BPI) IN AN ENTERPRISE COMPANY NORASIKIN BINTI SALIM. A project report submitted in partial fulfilment of the

LIFE CYCLE ASSESSMENT OF AN INTEGRATED SOLID WASTE MANAGEMENT SYSTEM IN JOHOR BAHRU SITI NADZIRAH BINTI OTHMAN UNIVERSITI TEKNOLOGI MALAYSIA

PRODUCE CONCRETE STRENGTH

RECOVERY OF HEAD OFFICE OVERHEADS DUE TO PROLONGATION OF TIME RAMLI BIN ISMAIL

CHAPTER 13 PRELIMINARY COST ESTIMATION

IJAZAH SARJANA SAINS UNIVERSITI MALAYSIA TERENGGANU

SOCIAL AND SAFETY ELEMENTS IN GREEN HIGHWAY INDEX AIN NAADIA BINTI MAZLAN

TAKLIMAT MODUL KEHADIRAN STAF UPSI

THE IMPACT OF CELEBRITY ENDORSEMENT ON BRAND IMAGE AND CONSUMER REPURCHASE INTENTION OF OPPO SMARTPHONE IN SURABAYA

ORGANIZATIONAL COMMITMENT AS A MEDIATOR ON THE RELATIONSHIP BETWEEN TRANSFORMATIONAL LEADERSHIP AND OCB AT PT. ANINDITA MULTINAGA IN SURABAYA

CATALYST PACK FOR HYDROGEN PEROXIDE MONOPROPELLANT THRUSTER KHAFRI IZUAN BIN KHANAFIAH

UNIVERSITI PUTRA MALAYSIA ECONOMIC IMPACT OF CLIMATE CHANGE ON MALAYSIAN RUBBER PRODUCTION

QUANTITY SURVEYOR S LIABILITY DURING PRE TENDER STAGE ASMAH ALIA BT MOHAMAD BOHARI UNIVERSITI TEKNOLOGI MALAYSIA

DEVELOPMENT OF BLENDED CEMENTS FOR WATER PROOFING APPLICATION

STRENGTHENING OF BOLTED SHEAR JOINT IN FERROCEMENT CONSTRUCTION CHIONG CHUNG ENG

HUMAN VALUES IDENTIFICATION AND ASSESSMENT TOOL DEVELOPMENT FOR TQM CONTEXT MUHAMMAD NOMAN MALIK. A thesis submitted in fulfilment of the

PARASITIC MOMENT EFFECT FOR THE THREE SPANS CONTINUOUS PRESTRESSED CONCRETE BRIDGE SITI SARAH SALIM

Determination of Concrete Vault Thickness of Near Surface Disposal for Radioactive Waste at Serpong Nuclear Area

A MASTER PLAN FOR THE IMPLEMENTATION OF SUSTAINABLE ENTERPRISE RESOURCE PLANNING SYSTEM ABDOULMOHAMMAD GHOLAMZADEH CHOFREH

JOB SCHEDULING APPROACHES BASED ON FIREFLY ALGORITHM FOR COMPUTATIONAL GRID ADIL YOUSIF ABOALGASSIM ALFAKI UNIVERSITI TEKNOLOGI MALAYSIA

THE E 3i VILLAGE CONCEPT

ANALYSIS OF RELATIONSHIP AMONG THE FACTORS OF NON- EXCUSABLE AFFECTING DELAY IN CONSTRUCTION PROJECT

BEST ENDEAVOURS FOR GRANTING AN EXTENSION OF TIME IN CONSTRUCTION CONTRACT NUR FARAH FARHANA BINTI RASID UNIVERSITI TEKNOLOGI MALAYSIA

SYAHIDAH HANIYAH BINTI MOHAMMAD

Developing a Model Using Homer for a Hybrid Hydrogen Fuel Cell System. Korespondensi: Abstract

AN INTEGRATED ENERGY AND WATER FOOTPRINT FOR OFFICE BUILDING SUSTAINABLE GREEN MANAGEMENT SYSTEM AUGUSTINE AGHA OKO

SIMULATION OF NON-POINT SOURCES OF POLLUTION IN A HETEROGENEOUS MEDIA BY USING 2D REGIONAL GROUNDWATER FLOW MODEL HAMID ASGARI

THE GREEN SUPPLIER SELECTION AND ORDER ALLOCATION IN THE SUPPLY CHAIN UNDER STOCHASTIC CONDITIONS POORIA HASHEMZAHI

EFFECTIVENESS OF CRM SYSTEM FOR CUSTOMER SERVICE REPRESENTATIVES (CSR) TRAINING AT TELEKOM MALAYSIA

INTEGRATED NANONEEDLE-MICROFLUIDIC SYSTEM FOR SINGLE CELL INTRACELLULAR TEMPERATURE MEASUREMENT

ESTIMATION IN SPOT WELDING PARAMETERS USING GENETIC ALGORITHM HAFIZI BIM LUKMAN

Accounting for Merchandising And Services Businesses

FUGITIVE EMISSION ESTIMATION FROM STORAGE TANK AND WASTEWATER TREATMENT UNITS JOHNATHAN HAR SEAN HOU UNIVERSITI TEKNOLOGI MALAYSIA

Manufaktur. McGraw-Hill/Irwin. Copyright 2013 by The McGraw-Hill Companies, Inc. All rights reserved.

INVESTIGATION OF MACHINING PERFORMANCE OF COATED CARBIDE BY MURAKAMI SURFACE PRETREATMENT KHAIRUL AZMI BIN MOHD MAWARDZI

Road Maintenance Management Using Pavement Condition Index (PCI) Survey

EXPLORING A SUSTAINABLE LOCAL WORKFORCE SUPPLY MODEL FOR CONSTRUCTION INDUSTRY IN MALAYSIA

STRUCTURAL PERFORMANCE OF ASPHALT BLOCKS PAVEMENT AS RELATED TO THICKNESS, BINDER TYPES, AND JOINT WIDTH AHMED SALAMA ELTWATI

Lecture 13 CONCRETE WORKS

MASOUD GHEISARI A WEB BASED ENVIRONMENT FOR BUILDINGS LIFE CYCLE COST ANALYSIS 2007/2009

A SENSOR ARRAY BASED ON PLANAR ELECTROMAGNETIC SENSORS FOR AGRO-ENVIRONMENTAL MONITORING SYAHRUL HISHAM BIN ABD. RAHMAN

Technical Assistance Consultant s Report

SISTEM KEBAL BUATAN TERHADAP PEMANTAUAN KETIDAKNORMALAN PESAKIT DALAM WAKTU NYATA (SATU KES KAJIAN PENGGUNAAN TEKNOLOGI RFID)

A STUDY OF MODULUS RUPTURE AND WATER ABSORPTION OF CEMENT MORTARS WITH REPLACEMENT OF PALM OIL FUEL ASH (POFA) - KOK JUN ME

Biodiversity Indonesia

CONTRIBUTION OF CONSTRUCTION INDUSTRY TO INDONESIAN STEEL INDUSTRY

MECHANICAL AND FLAMMABILITY PROPERTIES OF HYBRID RECYCLED NEWSPAPER / MONTMORILLONITE POLYPROPYLENE COMPOSITES

PEMBUATAN KOMPOSIT POLIPROPILENA DENGAN PENGUAT SERAT POLIPROPILENA TERORIENTASI DAN BAHAN PENGIKAT ANHIDRIDA MALEAT TESIS OLEH

ABSTRAK. Kata Kunci: penjualan, pembelian, servis, mobil, sms gateway, simple additive weighting

BEHAVIOUR OF EXPANDED PILES IN CLAY UNDER UPLIFT AND COMPRESSIVE LOADING PAYMAN ALIMOHAMMADI

THE IMPACT OF E-WOM, CONSUMER TRUST, AND CELEBRITY ENDORSEMENT TOWARD PURCHASE INTENTION IN RAVELOUX INSTAGRAM

PROPERTIES OF SELF-COMPACTING CONCRETE INCORPORATING PALM OIL FUEL ASH ABDUL HAQ EHSAN

Transcription:

Construction Material and Equipment Demand Estimation in Indonesia Krishna MOCHTAR, Indonesia Full Time Professor, Indonesia Institute of Technology, Serpong, Indonesia Key words: formulation, bill of quantity, material, equipment, demand estimation SUMMARY Increased national infrastructure investment will have an impact on the demand for reliable construction resource availability support. Currently, one of the issues of concern to the Indonesian Government is the absence of accurate the demand information for material resources and construction equipment. The annual requirement information in each region is currently based on estimated data. Meanwhile, the formulation of material resource requirements and construction equipment cannot be formulated properly because development priorities vary each year of the budget. It should not occur when there is a comprehensive data and information system related to construction materials and equipment. If data on construction material and equipment resource requirements, volume and time of procurement can be available well at the beginning of the fiscal year, it will be easy to predict the availability of existing resources within the country to meet the needs of all construction project activities. The research was conducted to obtain an annual data formula from the needs of materials and construction equipment within the Ministry of Public Works by utilizing the Bill of Quantity (BOQ) data of the previous year, which will be used for policy makers in the construction sector. Finally a formula of estimation of material and construction equipment demand is found that can be used by the Ministry of Public Works in planning and coordinating with relevant ministries such as the Ministry of Industry so that there is no shortage of material and equipment in the construction projects in Indonesia. RINGKASAN Meningkatnya investasi infrastruktur nasional tentu berdampak juga pada kebutuhan dukungan kesiapan sumber daya konstruksi yang andal. Saat ini, salah satu isu yang menjadi perhatian Pemerintah adalah belum adanya informasi yang akurat antara kebutuhan (demand) sumber daya material dan peralatan konstruksi. Informasi kebutuhan per tahun di setiap daerah saat ini masih berdasarkan data estimasi. Sementara itu, formulasi kebutuhan sumber daya material dan peralatan konstruksi tidak bisa dirumuskan dengan baik karena prioritas pembangunan berbeda-beda setiap tahun anggaran. Seharusnya masalah tersebut tidak perlu terjadi apabila tersedia data dan sistem informasi yang komprehensif terkait dengan material dan peralatan konstruksi. Jika data-data kebutuhan sumber daya, volume dan waktu pengadaan bisa tersedia dengan baik di awal tahun anggaran, maka akan dengan mudah untuk memprediksi ketersediaan sumber daya yang ada di dalam negeri mampu memenuhi kebutuhan seluruh kegiatan atau tidak. Riset ini dilakukan untuk mendapatkan formula data tahunan dari kebutuhan material dan peralatan konstruksi di lingkungan Kementerian Pekerjaan Umum dengan memanfaatkan data Bill of Quantity (BOQ) tahun sebelumnya, yang akan digunakan sebagai bahan untuk pengambil kebijakan di sektor konstruksi. Akhirnya

didapatkan suatu formula estimasi kebutuhan material dan peralatan konstruksi yang dapat digunakan Kementerian PU dalam merencanakan dan mengkoordinasikannya dengan kementerian terkait seperti Kementerian Perindustrian sehingga tidak terjadi kekurangan material dan peralatan pada proyek konstruksi di Indonesia.

Construction Material and Equipment Demand Estimation in Indonesia 1. INTRODUCTION Krishna MOCHTAR, Indonesia Full Time Professor, Indonesia Institute of Technology, Serpong, Indonesia The condition of good infrastructure is believed to have a very big role in encouraging economic growth of a State. The Government of Indonesia through the Working Cabinet has established several strategic infrastructure development targets whose numbers are increasing very sharply. In harmony with this, the activity of infrastructure will experience a considerable increase, massive, and evenly distributed in almost all parts of Indonesia. Increased national infrastructure investment will also have an impact on the need for reliable construction resource availability support. Currently, one of the issues of concern to the Government of Indonesia, particularly Ministry of Public Work (MPW), is the absence of accurate information between the demand for material resources and construction equipment. The annual requirement information in each region is currently based on estimated data. Meanwhile, the formulation of the need for material resources and construction equipment can not be formulated properly because development priorities vary each year of the budget. This problem should not occur when there is a comprehensive data and information system related to construction materials and equipment (CME). If data on resource requirements, volume and time of procurement can be available well at the beginning of the fiscal year, it will be easy to predict the availability of existing resources within the country to meet the needs of all activities. In addition, the database can be used as an initial guide for manufacturers, distributors and contractors to undertake planning related to the procurement of CME in Indonesia MPW construction projects. This can be one of supporting the achievement of contruction activity implementation target in the field according to plan (MPW, 2017) Ultimately, the availability of credible and reliable information will improve the effectiveness and efficiency of construction work. Thus, the availability of needs data which includes the main material types, construction equipment, the volume of needs and distribution needs to be immediately prepared in the framework of orderly administration, management and control, and the continuity of the business of providing CME. The purpose of this study was to formulate the need of CME through the Bill of Quantity (BOQ) document of projects from Indonesia MPW in year 2016. 2. CONSTRUCTION MATERIAL AND EQUIPMENT DEMAND ESTIMATION FROM BOQ In general, the demand estimation of construction material and equipment is derived from BOQ in following steps. For material, first the demand per work unit (e.g. per square meter area) for each material are analyzed with reference to the Unit Price Analysis (UPA) from the BOQ of each project. Especially for PC, fine aggregates, and coarse aggregates in concrete of a certain quality, it can be calculated by its composition approach (Table 1). Once the need

per unit of work is obtained, then the CME demand in the project can be estimated by dividing the total price for the CME divided by the unit price (Mochtar et. al., 2017) Table 1. Composition of PCs, Smooth Aggregates, and Rough Aggregates of Various Quality Concrete (MPW, 2012) No Concrete PC Fine Coarse Quality Aggregate 1 fc 50MPA 1.0 1.5 2.3 2 fc 45MPA 1.0 1.6 2.3 3 fc 40MPA 1.0 1.7 2.6 4 fc 35MPA 1.0 1.7 2.6 5 fc 30MPA 1.0 1.9 2.8 6 fc 25MPA 1.0 2.1 2.8 7 fc 20MPA 1.0 2.3 3.1 Aggregate In the Unit Price Analysis (UPA) from the BOQ of each project, there is information of equipment demand in hour per day. Consequently, the demand hour of the equipment in a work item can be estimated by multiplying it with the quantity of work item. For example, 1 cubic meter of stone work item demands 0.3571 hours per day of concrete mixer with 0.3-0.6 m 3 capacity equipment at a price of 97,509.41 rupiah per hour. So if the work item to be done is 100 cubic meters, then it demands concrete mixer equipment work for 100x0,3571 or equal to 35,71 hours, with cost equal to 35,71x 97,509,41 or equal to 3,482,061,03 rupiah. The same procedure may be used to calculate for other work items using concrete mixer with 0.3-0.6 m 3 capacity, and finally to be summed for the equipment overall demands in the project. The same procedure may be conducted for all other equipment (Mochtar et. al., 2017) 3. FORMULATION OF DEMAND ESTIMATION Formulations was made for categories according to 4 Directorate Generals (DGs) in MPW for both new consruction and maintenance projects. New construction is the construction work of new infrastructure, while maintenance project includes improvement, renovation, and rehabilitation of infrastructure. This is because the CME demand for new cosntruction activities is certainly different from the CME demand of maintenance project activities because of the nature of the activity itself. Once the CME demand estimation for each project is derived from above steps from the BOQ data, then the demand estimation for each categories of project may be formulated (Mochtar et.al., 2017). The material to be studied is the main material in the MPW projects presented in Table 2.

Table 2. Main Material in MPW Projects No Material Unit 1 Fine Aggregate m 3 2 Stone m 3 3 Coarse Aggregate m 3 4 Asphalt Kg 5 Portland Cement Kg 6 Steel Pipe m 7 PVC Pipe m 8 Reinforcement Steel Kg 9 Profile Steel Kg 10 Steel Prestress Strand Kg 11 Ready mix Concrete m 3 12 Precast Concrete m 3 The formulation for the material is the price of the raw material against the total value of a project. For example, for Portland Cement (PC) material there is a percentage of 12%, or in the form of equation is: PC (KG) = (0.12 x PV) / UP Where: PV = Project Value (Rupiah) UP = Unit price of material With such formulations, the demand estimation for PC for a given project value at a given unit price is known. For example for the upcoming 2019, the estimated value of the project to be done is 50 trillion rupiah, with the unit price of PC is 3000, - rupiah per kg. Then the demand estimate for cement is: PC demand = (0.12x 50 Trillion) 3000 = 2,000,000,000 kg = 2,000,000 Ton. The equipment to be studied is the main equipment in the MPW projects presented in Table 3.

Table 3. Main Equipment in MPW Projects No Equipment Unit 1 Asphalt Mixing Plant Hour 2 Asphalt Finisher Hour 3 Asphalt Sprayer Hour 4 Bulldozer/Motor Grader Hour 5 Compressor Hour 6 Concrete Mixer Hour 7 Crane Hour 8 Dump Truck/Flat Bad Truck Hour 9 Excavator Hour 10 Wheel Loader Hour 11 Roller(Vibra,Tandem,Pneum atik) Hour 12 Concrete Vibrator Hour 13 Water Tanker Hour 14 Jack Hammer Hour 15 Concrete Finisher Hour 16 Truck Mixer/ Agitator Hour 17 Batching Plant Hour The formulation for the equipment is the percentage of the material price against the total value of the project. For example for dump truck of 3.5 ton capacity if the percentage is 7%, or in the form of equations are: Dump Truck (hour) = (0.07 x PV)/UP = X Where: PV = Project Value (Rupiah) UP = Equipment unit per hour

If the dump truck hour demand estimation is X, then the demand estimation of dump truck unit can bw calculated as: Dump truck (unit) = (X / Y) / Z Where: Y = Average duration of the project Z = Average hours worked per unit per unit of project duration The average project duration (Y) data is obtained from BOQ data, and the average working hours per unit per unit of project duration is assumed to be 8 hours per day. With such formulations, the need for equipment for the value of a particular project at a given unit price can be calculated. For example for the upcoming 2019 estimated project value to be done is 50 Trillion rupiah, with dump truck unit price is 200 000, - rupiah per hour. Then the need for 3.5 ton dump truck size is: Dump truck hour demand = (0.07x 50 trillion x 200,000 = 17,500,000 hours If it is assumed that the average project duration of 4 months (120 working days) and dump trucks work 8 hours per day per unit, then the total number of units required during the year 2019 are: (17,500,000/120)/8 = 18,229.17 or rounded 18,230 units of dump truck. The need for equipment in the project generally is to experience an increase over the duration of the project that can be approached with a half-parabolic model as shown below: b a The area of the half of the parabola A is equal to 2/3 x a x b In this example a is equal to 120 days, the total number of equipment is A = 18,230 units, then b (= the peak number of dump truck unit) is: b = 3/2 x A / a b = 3/2 x 18,2302 / 120 or equal to 227,875 units or rounded to 228 units per day.

4. METHODOLOGY 4.1. Data Collection In this study, data collection is focused on CME in Indonesia MPW projects in year 2016; the data of BOQ is collected from Center of Data of Indonesia MPW. The total number of BOQ project data is 5500 data contract holders in 2016. These data are then taken in samples with the principle of random sampling of 160 data (each 40 data for each 4 DGs of Indonesia MPW). 4.2. Data Analysis The data then is analyzed by using principles and procedures as described in Part 2 and 3 of this paper. 5. FINDINGS AND DISCUSSION From the sample data, then by calculating the mean of the sample data, the CME demand estimation of Indonesia MPW projects is formulated. Table 4 and 5 is summary of the demand formula for construction material and construction eq uipment respectively, based on BOQ 2016 data. Use of the formula is to insert the value of available funds of estimated project value in Indonesia MPW in a certain year, so that the demand of CME in that year may be estimated. For example for Portland Cement (PC) material; its unit price (UP) is 1,706.93/kg, if the available fund of MPW projects in 2019 is 50 trillion rupiah (PV), the demand estimation of PC material in 2019 for MPW projects is: Formula: (0.0494 x PV) / UP = 0.0494 X 50,000,000,000,000) / 1.706.93 = 1,447,042,350.89 kg Another example is for Concrete Mixer equipment; its unit price (UP) is 82,842.15 Tabel 4. Summary of Formula Demand of Construction Material No Material Formula Average Unit Price Unit (Rupiah) 1 Fine Aggregate (0,0591 x PV)/UP 271,494.23 M3 2 Stone (0,0116 x PV)/UP 263,454.15 M3 3 Coarse Aggregate (0,1662 x PV)/UP 232,125.71 M3 4 Asphalt (0,0361 x PV)/UP 12,063.89 KG 5 Portland Cement (0,0494 x PV)/UP 1,706.93 KG

6 Steel Pipe (0,0033 x PV)/UP 103,341.89 M 7 PVC Pipe (0,0085 x PV)/UP 182,951.82 M 8 Reinforcement Steel (0,0727 x PV)/UP 12,311.96 KG 9 Profile Steel (0,0043 x PV)/UP 15,617.71 KG 10 Steel Prestress Strand (0,0092 x PV)/UP 1,710,642.71 KG 11 Ready mix Concrete (0,0128 x PV)/UP 1,342,693.62 M3 12 Precast Concrete (0,0316 x PV)/UP 2,104,654.87 M3 Tabel 5. Summary of Formula Demand of Construction Equipment No Equipment Formula Average Unit Price (Rupiah) Unit 1 Asphalt Mixing Plant (0,0066 x PV)/UP 7,159,295.13 Hour 2 Asphalt Finisher (0,0002 x PV)/UP 382,521.67 Hour 3 Asphalt Sprayer (0,0000 x PV)/UP 116,580.49 Hour 4 Bulldozer/Motor Grader (0,0127 x PV)/UP 707,049.67 Hour 5 Compressor (0,0003 x PV)/UP 204,949.03 Hour 6 Concrete Mixer (0,0081 x PV)/UP 82,842.15 Hour 7 Crane (0,0104 x PV)/UP 406,966.17 Hour 8 Dump Truck/Flat Bad Truck (0,1123 x PV)/UP 373,851.57 Hour 9 Excavator (0,2907 x PV)/UP 691,123.51 Hour 10 Wheel Loader (0,0015 x PV)/UP 520,133.68 Hour 11 Roller(Vibra,Tandem,Pneum atik) (0,0188 x PV)/UP 694,513.11 Hour 12 Concrete Vibrator (0,0062 x PV)/UP 74,596.91 Hour 13 Water Tanker (0,0023 x PV)/UP 272,160.98 Hour 14 Jack Hammer (0,0028 x PV)/UP 534,564.65 Hour 15 Concrete Finisher (0,0017 x PV)/UP 361,236.32 Hour 16 Truck Mixer/ Agitator (0,0032 x PV)/UP 508,497.21 Hour 17 Batching Plant (0,0074 x PV)/UP 609,468.08 Hour rupiah/hour, if the available fund of MPW projects in 2019 is 50 trillion rupiah (PV), the demand estimation of Concrete Mixer material in 2019 for MPW projects is: Formula: (0.0081 x PV) / UP = 0.0081 X 50,000,000,000,000) / 82,842.15 = 4,888,815.66 hours

If it is assumed that the average project duration of 4 months (120 working days) and Concrete Mixer work 8 hours per day per unit, then the total number of units required during the year 2019 is equal to: (4,888,815.66/120)/8 = 5,092.51 or rounded to 5,093 units of Concrete Mixer. Finally, the demand peak number of Concrete Mixer equipment unit for the in 2019 Indonesia MPW projects may be estimated equal to: 3/2 x 5,093 / 120 or equal to 63.66 units or rounded up to 64 units per day. By estimating the demand of CME well at the beginning of the fiscal year using the formula, it will be easy to predict the availability of existing resources within the country to meet the needs of all activities. In addition, the demand estimation data can be used as an initial guide for CME manufacturers, distributors and contractors to undertake planning related to its procurement in Indonesia MPW construction projects. This can be one of supporting the achievement of contruction activity implementation target in the field according to planned construction schedule. Finally, the formulated CME demand estimation will improve the effectiveness and efficiency of construction work. Thus, the availability of demand data which includes the main material types, construction equipment, the volume of needs and its distribution demands to be immediately prepared and coordinated among related parties in a country as a framework of orderly administration, management and control, and the continuity of the efforts of providing sufficient CME. 6. CONCLUSION From this study it can be concluded that: a. The BOQ analysis to calculate the demand estimation of CME may be conducted to build the formulation of CME demand in a certain period of time. b. By using the formulations the CME demand estimation may be estimated with data of project value, unit price, average use per day of the CME, and the average project duration. c. The demand estimation of CME is important and strategic in the development of planning so that there is no shortage of CME resources in the implementation of the construction projects, and thus the planned schedule and progress in construction may be better achieved.

REFERENCES Ministery of Public Work (MPW) Pedoman Analisa Harga Satuan (Unit Price Analysis Guidelines), 2012. Ministery of Public Work (MPW) Kerangka Acuan Kegiatan Kajian Formulasi Kebutuhan Material dan peralatan Konstruksi berdasarkan BOQ 2016 Term of Reference, 2017. Mochtar, K., Eko, F., Yono, F., Wahyono, S. Kajian Kajian Formulasi Kebutuhan Material dan peralatan Konstruksi berdasarkan BOQ 2016 Research Report, 2017 BIOGRAPHICAL NOTES - Experienced in teaching at universities (home based on Indonesia Institute of Technology- ITI), researching, and consulting (design, supervision and management) in construction areas - Around 36 publications in various international and national journals and conferences on productivity improvement, pricing strategies, marketing expenditures, production management, and green construction issues. - Member of Indonesia Construction Experts Association (ATAKI), Indonesia Consultant Experts Societies (INTAKINDO) CONTACT Prof Ir Krishna Mochtar, MSCE, PhD - Indonesia Construction Experts Association (ATAKI) - Indonesia Intitute of Technology (ITI), Serpong Jl Kair 33 RT 04/04 Ragunan Jakarta 12550 INDONESIA Tel. +62818730089 Fax + 62217560542 Email: kmochtar3@yahoo.com Web site: --