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Journal : International Journal of Engineering and Emerging Technology

DRILLING GROUNDWATER FOR RAW WATER IN SEMBIRAN VILLAGE,TEJAKULA DISTRICTS, BULELENG REGENCY Ketut Agus Karmadi; I Wayan Redana; I Nengah Simpen; Mawiti Infantri; Bambang Soenarto
International Journal of Engineering and Emerging Technology Vol 5 No 1 (2020): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/IJEET.2020.v05.i01.p14

Abstract

ABSTRACT- Water is an absolute necessity that must be met, both for drinking water and for irrigation. An alternative to meet the water needs other than rainwater or surface water, is by taking underground water by drilling deep wells. Sembiran Village is a village located in Tejakula District, Buleleng Regency, the village is a dry area that requires water, both for drinking water and for agriculture. Location of groundwater drilling including Tejakula groundwater basin. In order to achieve the above objectives, an effective and efficient groundwater drilling technique should be carried out considering that the area geologically has rocks dominated by volcanic lava rock which are the products of Mount Agung and Mount Buyan Beratan Purba. The method of drilling groundwater is carried out in stages starting from drilling a Pilot Hole with a diameter of 6 to 64 meters, followed by an enlargement of 8 ", 10" to 12 "drill holes to a depth of 64 meters. In the field of drilling work the Hydrolic Rotary System Method, Direct Circulation Rotary Drilling is used and for the removal of cutting / dirt mud Fludia is used. The equipment used for drilling is rotary / skid mounted drilling machines with a capacity of up to ± 150.0-200.0 meters, equipped with equipment such as: mud pumps, a series of equipment that cannot be separated from one another. For well logging an Electrical logger is used for geophysical wellbore investigations. For the work of washing wells using compressor and other supporting equipment. Pumping the test uses a submersible pump that has a minimum discharge capability of 10 lt / sec and a maximum of 20 lt / sec. The results of direct observations and measurements of the physical parameters of the Sembiran Village Drilling Well (SEM-5) contain TDS = 219.; PH = 7.0. Chemically, Iron (Fe) = 0.001 mg/ltr; Arsenic (Ar) = 0.067 mg/ltr; Availability (CACO3) = 56.4 mg/ltr; Chloride (Cl-) = 91.6 mg/ltr; Nitrate (N) = 0.013 mg/ltr; Sulfate (SiO4) = 1.88 mg); Lead (Pb) = 0 mg/ltr; organic matter (KMnO4) = 0.34 mg/ltr, so the Drilling wells (SEM-5) meet clean water quality standards based on the Regulation of the Minister of Health of the Republic of Indonesia Number 492 / Menkes / Per / IV / 2010. Discharge obtained from pumping test results at SEM-5 wells is 20.47 liters/sec with surface water level(swl) = 23.60 m, and the position of the pump is placed at 42 m from the ground surface.
A Bibliometric Analysis of Input Parameter in Artificial Neural Network Approach for Groundwater Level Prediction Putu Doddy Heka Ardana; I Wayan Redana; Mawiti Infantri Yekti; I Nengah Simpen
International Journal of Engineering and Emerging Technology Vol 5 No 2 (2020): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/IJEET.2020.v05.i02.p22

Abstract

Rapid growth in the Artificial Neural Network (ANN) approach in groundwater level prediction literature calls for an assessment of the trajectory and impacts to identify key themes and future research directions. In this paper, reported a bibliometric analysis of this literature that focuses on examining input paramater uses, focus of research, and research forward. We used Elsevier’s SCOPUS database, Dimensions, and Google Scholar to search for publications from January 2000 to May 2020 on the ANN approach in groundwater level prediction, and analyzed the ?nal sample of 101 publications using RIS file from Mendeley and Vosviewer software tools. Thematic analysis of abstracts revealed a strong focus on groundwater level prediction with artificial neural network approach. The co-occurrence network map showed the hydro-climatology parameter like precipitation, temperature, and groundwater level connected with a large number of frequently used for input in ANN approach, while the evapotranspiration, evaporation, humidity, river stage, runoff parameter demonstrated much weaker links. Re?ected on how these ?ndings may useful for better understand and ultimately be able to use the other hydro-climatology input paramater on groundwater level prediction with artificial neural network approach.
Co-Authors . Saputera . Sutrisno A. Trisnobudi Adrizal . Agus A Munawar Ahmuhardi Abdul Azis Amin Rejo Amoranto Trisnobudi Anggie Yulia Sari Aris Purwanto Aryanis Mutia Zahra Baihaqi Baihaqi Bambang Haryanto Bambang Haryanto Bambang Haryanto Bambang Haryanto Bambang S. Purwoko BAMBANG S. PURWOKO Bambang Soenarto Baskoro Wicaksono, Baskoro Dheni Mita Mala Dwi Dian Novita Ei Mon Kyaw Emmy Darmawati Fadfhillah, Dini Nur Fadhillah, Dini Nur Fila Rodotul Jannah Hadi K. Purwadaria Hadi K. Purwadaria Hadi K. Purwadaria Hafiz Fajrin Aditama Harmi Andrianyta Herna Permata Sari I Kadek Suardika I M. S. Wibawa I Nyoman Sutarpa Sutama I Wayan Redana I Wayan Redana I Wayan Redana I. B. M. Suryatika Indah Kurniasari Irawaty Irawaty Jajang Juansah Jajang Juansah Jati Sumarto Putro Jeris Habfrons Wiatri Djereng Juhana, Juhana Ketut Agus Karmadi Kudang B. Seminar KUDANG B. SEMINAR Kustoko, Kusriani La Rianda LADY C. E. CH. LENGKEY Lady Lengkey Lalu Hendri Setiawan Mar'atus Sholihah Mawiti Infantri Mawiti Infantri Yekti N. N. Ratini Noneng Fahri Novi Andareswari Noviar Harun Nur Arifiya Ocarina, Estika Parida, Desca Putu Doddy Heka Ardana Rini Rosita Rizal Syarief Rizky Wiradinata Rokhani Hasbullah Ruri Wijayanti Samsudin Samsudin SEDARNAWATI YASNI Sigid Hariyadi Siti Djamila Siti Zulaikah Slamet Susanto Slamet Widodo Slamet Widodo Sobir Sobir Sri Agustina Sri Citra Yuliana Madi Sugiyono . Sugiyono Sugiyono Suharta, I Wayan Gede Sukrisno Widyotomo Suroso . Suroso . Suroso Suroso Sut risno Sutrisno - Sutrisno . Sutrisno Mardjan Sutrisno Sutrisno Trisma Rezeki Zairisman Usman Ahmad Vita N. Lawalata Wendianing Putri Luketsi Wiranda G. Piliang Yasin, Yasnita Yul Y Nazaruddin Yunisa Tri Suci