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PREDIKSI HARGA SATUAN PEKERJAAN JALAN TAHUN 2021 Hamkah .; Hadi Purwanto; La Mohamat Saleh
JURNAL PENGABDIAN MASYARAKAT IRON Vol 3, No 2 (2020)
Publisher : Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jpmi.v3i2.526

Abstract

Perkiraan harga satuan merupakan kebutuhan setiap tahun yang menjadi tugas pengguna jasa bagi persiapan tender pengadaan jasa konstruksi dalam bentuk dokumen HPS. PPK sebagai pengguna jasa yang bertugas menyiapkan dokumen HPS membutuhkan biaya dan kendala waktu yang singkat karena melakukan survey di lokasi pekerjaan, khususnya persiapan pengadaan pekerjaan jalan tahun 2021 di wilayah Provinsi Maluku dan Maluku Utara. Metode prediksi harga satuan pekerjaan jalan menggunakan Template dan data sekunder berupa EE dan indeks harga inflasi membantu PPK mengatasi kendala biaya dan waktu menyiapkan HPS bagi berlangsungnya proses tender di awal tahun  2021. Data EE dan Template bersumber dari BPJN XVI Ambon dan data indeks harga inflasi tahun 2012 s.d. 2019 bersumber dari BPS. Tersedianya harga satuan pekerjaan jalan proyeksi tahun 2021 dalam satuan M2 hasil analisis menggunakan format summary dan format treatment cost untuk Zona-1 Maluku, Zona-2 Maluku dan Zona Maluku Utara merupakan hasil kegiatan.
RENCANA ANGGARAN BIAYA MENGGUNAKAN METODE AHSP 2016 DAN SNI 2018 PADA PROYEK PEMBANGUNAN GEDUNG MADRASAH IBTIDAIYAH NEGERI 5 KABUPATEN MALUKU TENGAH Saryo Theo Endom; La Mohamat Saleh; Henriette Dorothy Titaley
Journal Agregate Vol. 2 No. 2 (2023): September
Publisher : Jurusan Teknik Sipil

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/ja.v2i2.1778

Abstract

A project is a unique activity with a set goal with limited time to be able to reach a specified target. Within the arrangement of a construction project, cost estimates play a significant role. The greater the value of a construction project causes the need for resources to manage the work. Therefore, it requires careful, carefully structured cost planning according to the method of analysis used. The SNI method was a renewal from the 1921 BOW analysis (Burgeslijke Openbare Werken) issued by the residential research and development center.The AHSP method (Job Unit Price Analysis) isa guide for analysis issued by the ministry of public work and citizen housing (PUPR). The aim of thi s study is to get results from economical cost-spending estimates between methods. According to estimates of the cost budget using the AHSP 2016 method, Rp 2,891,000,000 and according to estimates of the cost budget using the SNI 2018 method, Rp 2.615.500.000 by profit from AHSP 2016 and SNI 2018, Rp 275,500,000. And a 9.53% percentage presentation.
ANALISIS FAKTOR PENYEBAB KETERLAMBATAN PROYEK PEMBANGUNAN GEDUNG LABORATORIUM TERPADU DAN PERPUSTAKAAN MAN 1 MALUKU TENGAH Ervina Azhari; La Mohamat Saleh; Meyke Marantika
Journal Agregate Vol. 2 No. 2 (2023): September
Publisher : Jurusan Teknik Sipil

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/ja.v2i2.1906

Abstract

Construction projects are a series of activities related to the process of developing infrastructure within a predetermined time frame by estimating the time required to complete the project. Delays in project planning can occur due to various factors. This also happened in the construction of the Integrated Laboratory and Library Building Project at MAN 1 Central Maluku, which experienced delays caused by several factors, including delays in the project due to factors such as labor, materials, design, situation, equipment, finance, site characteristics, and external factors. However, the factors that significantly and dominantly influence the delays are not yet known. Therefore, the purpose of this research is to identify the significant and dominant factors causing project delays. The analytical method used is regression analysis, which includes T-tests and F-tests. Based on the research results, the significant factors influencing project delays are the lack of availability of labor (labor factor), delay in the delivery of materials (material factor), equipment productivity (equipment factor), and financial difficulties of the contractor (financial factor). The most dominant factor influencing project delays is the labor factor, with a beta value of 1.198, indicating a lack of labor availability.