EVALUASI KUALITAS PASIR PADA PROYEK BANGUNAN PEMERINTAH DENGAN METODE STATISTIK INFERENSIAL

Dedy Rifabi, Jauhar Fajrin, Buan Ansari

Abstract


Sand is one of the key material in civil engineering, which is sometime overlooked during the construction process. In many projects, the first concern is about the structure and then the material. The improper use of material doesn’t show significant signs in the early stage of building service. Using low quality material may give significant impact after few years and when it comes to a concern, it’s always too late to be repaired. Sand has drawn many attentions in term of its quality and few works dealing with this topic have been reported. This study aims to asses the quality of sand collected from few government building projects in west Lombok. The results were analysed using statistic software, which is SPSS 16.0, to provide inferential analyses. A mixed model, namely field surveys and laboratory experiments, were employed for the research methodology. It was found that only one out of the seven project that used proper sandmin terms of quality. The rest do not meet the standards required by SNI (Indonesian Nasional Standard) for sand material. It was also found that the quality of sand used by the observed projects under this research was significantly differ from each other, in terms of their bulk density, apparent specific density, SSD specific density, water absorption, silt content, loose content weight, solid fill weight, and fine modulus. It is strongly recommended that the government should take a good control to the sand suppliers/providers as well as the builders especially when they are involving in the government projects.

Keywords


Buiding material; sand quality; inferential analysis; material assesment

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References


Dumyanti, Ahmad. 2015. Analisis Penggunaan Pasir Pantai Sampur Sebagai Agregat Halus Terhadap Kuat Tekan Beton. Jurnal Fropil, Vol 3 Nomor 1 Juli-Desember 2015.

Endroyo, Bambang. 2015. Kualitas Pasir Muntilan (Jawa Tengah) Ditinjau dari Tempat Pengambilan dan Musim. https:// www.researchgate.net// publication/ 267299892, diakses tanggal 27 Juni 2017.

Fajrin, Jauhar., Pathurahman., Pratama, Gita L.,. 2016. Aplikasi Metode Analysis Of Variance (Anova) Untuk Mengkaji Pengaruh Penambahan Silica Fume Terhadap Sifat Fisik Dan Mekanik Mortar. Jurnal Rekayasa Sipil, Volume 12 No. 1, Februari 2016. ISSN : 1858-2133.

Fajrin, Jauhar., Zhuge, Yan., Bullen, Frank., Wang, Hao.,. 2011. The Implementation of Statistical Inference to Study the Bending Strength of Sustainable Hybrid Sandwich Panel Composite, Advanced Materials Research Vols. 250-253 (2011) pp 956-961.

Ghozali, Imam. 2005. Aplikasi Analisis Multivariate dengan Program SPSS. Semarang: Badan Penerbit Universitas Diponegoro.

Kamlimath, M. Sumanth dan Jossi, M. Ashwin. 2015. Alternatives to Conventional Cement-Sand Mortar for Sustainable Masonry Construction. Emerging Trends on Sustainable Construction- National Level Conference, 2015. https://papers.ssrn.com.

Purwanto dan Priastiwi, A. Yulita. 2012. Pengaruh Kadar Lumpur Pada Agregat Halus Dalam Mutu Beton. Jurnal Teknik, Vol. 33 No.2 Tahun 2012, ISSN 0852-1697.

Septianto, Haris. 2017. Pengaruh Kandungan Lumpur Pada Agregat Halus Terhadap Kuat Tekan dan Kuat Tarik Belah Beton Normal. Skripsi Universitas Muhammadiyah Surakarta.

Triastuti, S.N. 2004. Bangunan Infrastruktur Harus Menjadi Perhatian pada Pelaksanaan dan Perawatan. Makalah Falsafah Sains, Institut Pertanian Bogor.




DOI: http://dx.doi.org/10.20527/infotek.v20i1.6959

DOI (PDF): http://dx.doi.org/10.20527/infotek.v20i1.6959.g5512

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