ANALISIS PRODUKTIVITAS BATCHING PLANT PADA PRODUKSI BETON (STUDI KASUS : BATCHING PLANT PT ADHI PERSADHA BETON SEYEGAN PROYEK TOL JOGJA-BAWEN)

Avico Ardi Prasetya, Dian Sestining Ayu, S.T., M.T.

2023 | Tugas Akhir | D4 TEKNIK PENGELOLAAN DAN PEMELIHARAAN INFRASTRUKTUR SIPIL

Pada berbagai pekerjaan strulktulr dalam sulatul proyek terdapat pulla 

pekerjaan pembetonan ataul pengecoran sulatul konstrulksi. Pada proyek Jalan Tol 

Jogja-Bawen ini pekerjaan pembetonan adalah pekerjaan yang memiliki volulme 

paling besar diantara sulb pekerjaan lainnya. Akan tetapi wlaulpuln memiliki volulme 

paling besar terkadang terdapat beberapa kendala seperti permintaan lapangan yang 

tak pasti dan kerulsakan alat yang menghambat proses produlksi. Penelitian ini 

bertujuan ulntulk menganalisis prosedulr pelaksanaan produlksi beton, Menganalisis 

kapasitas produlksi beton harian di Batching Plant, Menganalisis faktor-faktor yang 

mempengarulhi proses produlksi beton pada Batching Plant, dan Menganalisis 

evektivitas dan produlktivitas alat berat yang digulnakan pada Batching Plant

Penelitian ini menggulnakan metode kulantitatif dengan pendekatan Man and 

Machine Process Chart dan Overall Equlipment Effectiveness (OEE). Data yang 

digulnakan diperoleh dari hasil pengamatan langsulng ketika di lokasi pengamatan 

selama pelaksanaan magang. Pengamatan dalam kasuls ini berfokuls pada Cycle 

Time dari alat berat yang ada (wheel loader, batching plant, trulck mixer) dengan 

menghitulng cakulpan waktul dari sulatul kegiatan yang dilakulkan alat berat dan data 

waktul kerja tidak evektivitas mesin batching plan saat produlksi berlangsulng.

Hasil penelitian ini menulnjulkan Kapasitas produlksi harian aktulal Batching 

Plant Seyegan periode bullan Maret 2023 sebesar 328 m³ ataul 48?ri kapasitas 

produlksi optimal sebesar 684 m³ /hari, Produlktivitas wheel loader dalam memulat 

agregat haluls 75,23 m³/jam, dan agregat kasar sebesar 80,68m³/jam, Cycle Time

Rata-Rata Trulck Mixer adalah selama 70 menit ataul 1,2 jam. Nilai OEE Mesin 

Batching Plant tidak ideal yaitul 80,90%. Selisih antara OEE Mesin Batching Plant

dengan OEE world class adalah 3,10 %, performance efficiency memberikan 

kontribulsi paling besar pada rendahnya nilai OEE yaitul 85,10%. performance 

efficiency yang rendah menulnjulkkan banyaknya jeda ataulpuln waktul yang terbulang 

sia-sia ketika produlksi berjalan. Sedangkan faktor faktor yang mempengarulhi 

produlksi beton pada batching plant seyegan adalah julmlah permintaan beton dari 

lapangan, jadwal produlksi, jadwal material, kondisi mesin, lingkulngan, sulmber 

daya manulsia, kulalitas bahan bakul, kondisi culaca, ketersediaaan Trulck Mixer, dan 

Traffic Management.

In various structural works in a project there are also concrete or casting 

works in a construction. In the Jogja-Bawen Toll Road project, the concrete work 

is the work that has the largest volume among the other sub-works. However, even 

though it has the largest volume, sometimes there are several obstacles such as 

uncertain field demands and equipment damage that hinders the production 

process. The purpose of this study is to analyze the procedures for carrying out 

concrete production, analyze the daily concrete production capacity in the batching 

plant, analyze the factors that influence the concrete production process in the 

batching plant, and analyze the effectiveness and productivity of the heavy 

equipment used in the batching plant.

This research uses quantitative methods with the approach of Man and 

Machine Process Chart and Overall Equipment Effectiveness (OEE). The data used 

was obtained from direct observation at the observation site during the internship. 

Observations in this case focused on the Cycle Time of existing heavy equipment 

(wheel loaders, batching plants, truck mixers) by calculating the time coverage of 

an activity carried out by heavy equipment and data on the ineffective working time 

of the batching plan machine during production.

The results of this study show that the actual daily production capacity of 

the Seyegan Batching Plant for the period March 2023 is 328 m³ or 48% of the 

optimal production capacity of 684 m³/day, the productivity of the wheel loader in 

loading fine aggregate is 75.23 m³/hour, and the coarse aggregate is 80 ,68m³/hour, 

the Average Cycle Time of the Mixer Truck is 70 minutes or 1.2 hours. The OEE 

value of the Batching Plant Machine is not ideal, namely 80.90%. The difference 

between OEE Batching Plant Machinery and OEE world class is 3.10%, 

performance efficiency contributes the most to the low OEE value of 85.10%. Low 

performance efficiency indicates a lot of lag or wasted time when production is 

running. Meanwhile, the factors that affect concrete production in batching plants 

are the number of requests for concrete from the field, production schedules, 

material schedules, machine conditions, environment, human resources, quality of 

raw materials, weather conditions, availability of Mixer Trucks, and Traffic 

Management.

Kata Kunci : Batching Plant, Produktivitiy, Evektivity, Man and Machine Process Chart, Overall Equipment Effectiveness, Production