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Analisis Metode Penggunaan Beton Fast Track Ditinjau dari Segi Biaya & Waktu Proyek Rusun Rawabuntu Rusdianto, Danang Arip; Sarminingsih, Anik; Hardyanti, Nurandani
Jurnal Profesi Insinyur Indonesia Vol 2, No 1 (2024): JPII
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpii.2024.24114

Abstract

Penggunaan material kayu pada bekisting konvensional akan semakin terbatas karena sumber bahan baku yang semakin berkurang. Pada Proyek Pembangunan Rumah Susun Rawabuntu Mahata Serpong, metode pelaksanaan pekerjaan bekisting pada lantai 1 sampai dengan lantai 4 menggunakan konvensional, sementara pada lantai 5-32 menggunakan bekisting aluminium. Sebagai salah satu dasar pertimbangan pemilihan metode bekisting harus mengetahui dahulu keunggulan dari masing-masing metode yang akan digunakan. Analisa metode pekerjaan bekisting dapat dijadikan sebagai keputusan dalam menentukan pemilihan metode bekisting, sehingga pelaksanaan pekerjaan struktur tersebut dapat dilaksanakan secara efisien. Hasil dari penelitian ini menunjukkan bahwa dalam penggunaan bekisting aluminium efisien dari segi biaya, mutu dan waktu pekerjaan. Harga satuan pekerjaan bekisting konvensional sebesar Rp152.000.00 per m2 dengan pemakaian maksimal bekisting sebanyak 3 kali, sementara bekisting aluminium dapat diefisiensi pada pemakaian sebanyak 30 kali dengan harga satuan sebesar Rp149.000,00 per m2 dengan pemakaian maksimal sebanyak 300 kali. Segi mutu pelaksanaan bekisting aluminium lebih unggul karena bekisting dalam dikerjakan secara bersamaan untuk kolom, dinding, balok dan pelat lantai. Waktu pelaksanaan lebih cepat 3 hari jika menggunakan bekisting aluminium dengan durasi selama 13 hari, sementara bekisting konvensional selama 16 hari pekerjaan per 1 lantai. Kata kunci: bekisting konvensional, bekisting aluminium
Analisis Perbandingan Quantity Take Off (QTO) Beton Menggunakan Metode Building Information Modelling (BIM) dan Metode Konvensional (Studi Kasus : Proyek Kantor PNM Cabang Jember) Amri, Salim Isfayama; Hardyanti, Nurandani; Sumiyati, Sri
Jurnal Profesi Insinyur Indonesia Vol 1, No 6 (2023): JPII
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpii.2023.19025

Abstract

Along with the world of construction that is growing, the stakeholders involved in it are trying to find methods and technologies that can make the activities contained in construction projects more efficient. Building Information Modeling (BIM) is one of the most widely applied technological developments in the world of construction. One of the benefits of implementing BIM is that it can produce Quantity Take-Off (QTO) data output based on the 3 Dimensional model that has been created. This research examines the PT Permodalan Nasional Madani Branch Office Building Construction Project in Jember City which performs QTO calculations using 2 methods, namely the conventional method and the BIM method. The purpose of this study is to find out the results of the calculation of the QTO of the Conventional Method and the BIM Method, then to compare the results of the calculation of the QTO of the Conventional Method and the BIM Method, and to analyze the reasons for the differences in the results of QTO calculations on the Conventional Method and the BIM Method. The conventional method of performing calculations is using Ms.Excel software with reference to 2D drawings from AutoCAD. The BIM method uses Autodesk Revit software by performing 3D modeling which is directly integrated with the quantity calculation. The QTO calculation is carried out on the need for concrete materials in the superstructure (columns, beams and slabs) of the building. The results of QTO Concrete using the BIM method on column work 41.59 m³, beams 33.29 m³, and floor slabs 154.39 m³. The total QTO of concrete for the superstructure using the BIM method is 229.23 m³. The results of QTO Concrete using the Conventional method on column work 44.36 m³, beams 58.79 m³, and floor slabs 154.54 m³. The total QTO of concrete for the superstructure using the conventional method is 257.68 m³. The difference in the QTO results of the BIM and conventional methods for column work is 6.24%, beams are 43.37%, floor plans are 0.12%. The difference in the highest QTO value is in the beam structure item. The total difference in volume of concrete between the conventional method and the BIM method is 28.45 m³ or 11.04%. The reason for the difference in QTO results between the BIM and Conventional methods is due to the double calculations in the Conventional method at each intersection point between columns, beams and plates. Whereas with the BIM method every meeting will be calculated only on one of the elements with the order of domination of the calculation from the highest, namely plate, column, plate.
Greenhouse Gas Emission Reduction Strategies in the Transportation, Waste, and Domestic Sectors Haryono Setiyo Huboyo; Nurandani Hardyanti; Isna Maulidya Durrotunnisa; Isnaini Haya Amani; Tarisa Farrelia Febriana
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 21, No 2 (2024): July 2024
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v21i2.504-512

Abstract

Population growth in Pekalongan City leads to increased community activities, which in turn raises Greenhouse Gas (GHG) emissions in the transportation, waste, and domestic sectors. This study aims to inventory and project GHG emissions, develop reduction strategies, and design regulations to mitigate these emissions. The method used to inventory GHG emissions from the transportation sector is based on Tier 1 and 2 approaches, while the waste and domestic sectors use the Intergovernmental Panel on Climate Change 2006 method with Tier 1 accuracy. The results of the inventory and projection show that GHG emissions in the transportation sector will reach 455.084 Gg CO2eq by 2032. Strategies to reduce these emissions include optimizing green open spaces (RTH), rejuvenating public transportation, and developing a Bus Rapid Transit (BRT) system, which collectively are expected to reduce emissions by 1.23%. In the waste sector, projected emissions amount to 27.88 Gg CO2eq. Planned strategies, such as increasing waste service coverage to the Degayu Landfill, optimizing waste facilities, and utilizing biogas, can reduce emissions by 15.85%. In the domestic sector, projected emissions are 27.97 Gg CO2eq, with the strategy of developing community-based livestock biogas expected to reduce emissions by 0.22%
Implementing Biodrying Method for Waste Processing in Salatiga City Hardyanti, Nurandani; Zaman, Badrus; Bagaskhara, Rezza Anferditya; Hasfiawan, Harsya Giras
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 21, No 3 (2024): November 2024
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v21i3.696-711

Abstract

Waste processing in Salatiga City could have been more optimal. It can be seen from the data from the Salatiga City Environment Service that the waste processing facility in the form of an active waste processing site with reduce-reuse-recycle is only one out of seven registered units. This has the potential to cause accumulation at the final processing site. Therefore, it is necessary to develop an effective waste processing facility. Planning for waste processing using the biodrying method can effectively process waste that produces products in the form of Refuse Derived Fuel (RDF)[1] [Ma2] . Planning for waste processing is carried out until 2032 in two service areas: Service area 1 (Argomulyo District and Tingkir District) and service area 2 (Sidorejo District and Sidomukti District). The amount of waste generated by service area 1 reaches 49.33 tons/day and 522.67 m3/day, while service area 2 reaches 49.62 tons/day and 414.01 m3/day. Planning for waste processing using the drying method includes picking bay units, shredding, drying, screening, and loading RDF.[3] [Ma4]  RDFs potential in 2032 as a result of waste processing in service area 1 is 11159.03 tons/year with sales of Rp. 7,270,755,009 / year and in service area 2 it is 10,471.09 tons / year with sales of Rp. 6,822,524,206 / year