bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of stakeholder involvement in the conduct of corporate social responsibility (CSR)
Authors: Santoso M B , Raharjo S T , Apsari N C , Wibhawa B 
Published: August 2019

Abstract
The awareness of companies involved in community’s live by corporate social responsibility (CSR) activities is elevating, because of the regulation and the willingness of the companies to be involved in creating sustainable development. The conduct of the CSR is socially constructed according to the companies context, does not creating dependency and creating a natural proces of separation toward the collective independent of the community. Identifying the involvement of stakeholders in the conduct of CSR will serve as important information in understanding the degree of the involvement. The study is using descriptive analysis with qualitative approach. The data collection used are in depth interview, focus group discussion, and literature study. The research shows that identifying the quality of actor within the community serve as the foundation for stakeholder involvement, in addressing social, economical and environmental aspects issues. The mindset, awareness and communication style serve as supportive factor for group cohesiveness and continuity in the CSR activities. This research claims that the importance of the CSR activity is not depend on the amount of assistance provided, but on how the assistance lead the community to elevate their social quality degree toward self-actualization community resulting independency and sustainability.
Post-flood handling pattern by self-sufficient community in Garut
Authors: Sjoraida D F , Anwar R K , Rahman M T 
Published: August 2019

Abstract
This study discusses the process of restoring post-flood soil functions with self-sufficient community activities in Garut, West Java, Indonesia. The soil restoration is conducted based on the aspirations of the community. This study used a qualitative approach to obtain natural settings of which many behaviors and events occur during the recovery period. This study also uses institutional theory, because it can guide researchers on institutional structures, regulations and procedures that can have a significant impact on the good of the community. The study finds that performing their functions as elected organizers; they always prioritize the interests of the people in their activities. To achieve that, the managers of the organization, comprehend and collect the aspirations of the community; accommodate and follow up aspirations and complaints; create events together with the society and give moral encouragement to rise from adversity. The study also found many events leading to soil maintenance to prevent future damage.
Feasibility study of rainwater conservation and harvesting for industrial community in North Jakarta
Authors: Murdiana A W , Soesilo TEB , Bismo S 
Published: August 2019

Abstract
Rainwater harvesting has been adopted in many regions of the world when raw water supplies are insufficient for the community. A multinational company engaged in heavy equipment around North Jakarta has a rainwater pool facility that can be used to anticipate flooding during the rainy season using the Ground Catchment System method. In addition, this water source can be used to meet the company’s clean water needs both for industrial and domestic needs and to reduce the use of municipal supply water (Perusahaan Daerah Air Minum, PDAM). This study aims to meet the needs of clean water, anticipate floods and droughts. This research uses a problem-solving approach to reduce the use of water from PDAM. The variables studied in this research are average water quantity, water quality, and reduction of water consumption from PDAM by replacing it with clean water from rainwater, and then assess them using qualitative and quantitative method for six months. The results concluded that the quantity of water from rainwater treatment produced during six months of research can reduce the consumption of PDAM water as much as 20%. In general, the rainwater harvesting for the needs of the industrial community in the company can be considered as a feasible solution to provide clean water substitute and to reduce PDAM water consumption.
MBBR technology for water treatment east flood canal as a raw water source of DKI Jakarta
Authors: Pradafitri W S , Moersidik S S , Abdini C 
Published: August 2019

Abstract
Population growth increases the need for raw water supplies. Poor quality, quantity, and continuity of raw water conditions impacts to the scarcity. The problem can be solved by water treatment technology. East Flood Canal (BKT) is one of the infrastructure facilities in DKI Jakarta province has potential to become a source of raw water supply. This study aims to analyze the appropriate pre-processing technology to improve the water quality of BKT. Analytical Hierarchy Process method was used to determine the appropriate pre-treatment technology to improve the water quality of BKT. There are 3 alternative technology options, such as MBBR (Moving Bed Biofilm Reactor), MBR (Membrane Bioreactor), and Bank Filtration, while the criteria are the environment, social, and economic. The questionnaire were weighted, reviewed consistently, and analyzed descriptively. The results showed that the MBBR technology earns the highest weight of 0.51, MBR is 0.38, and the BF is 0.12. Based on environmental and social aspect, MBBR needs the smallest area, hence it can be easily approved by the people. In economic aspect, the investment of MBBR is more expensive, however the operational is affordable. In conclusion, MBBR technology is the most appropriate technology for water treatment of East Flood Canal.
Identification of aquifer using geoelectric resistivity method of reciprocal schlumberger array (case study: Tanggamus, Lampung Province)
Authors: Santoso Budy , Prirahmayang Natasya , Kirana Kartika Hajar 
Published: August 2019

Abstract
Tanggamus district known as an area indicated to have a potential aquifer layer because there are many areas of groundwater infiltration. This study aims to obtain the depth of aquifer layer and aquifer type found in Tanggamus area. This research was carried out using geoelectric resistivity method of reciprocal Schlumberger array. Based on the results of data processing in correlated with geological data, aquifer layer is identified in rough sand rocks with resistivity value 35-100 Ωm. The confined aquifer layer lies at a depth of 20.6-136 m in the measuring lines of 3, 4 and 5. The unconfined aquifer layer lies at a depth of 1.71-151 m in the measuring line of 1. The leaked aquifer layer lies at a depth of 2-169 m in lines 2 and 5. The characteristics of the layers of rock consists of sandstone as an aquifer, breccia as an aquifuge and tuff as an aquiclude.
FK-filter and radon transform methods comparative study on 2D pre-stack migration gather of Kangean Waters data
Authors: Panjaitan Raymond J.T. , Agustine Eleonora , Rosandi Yudi , Nainggolan Tumpal B. 
Published: August 2019

Abstract
The main problem in marine seismic exploration are multiples. Multiple is coherent noise appeared by the difference of impedance between water and seabed layer which is lead to secondary reflection wave acts as new reflector source point. Multiple appearance in seismic cross section can cause misinterpretation so multiple attenuation is required. Both F-K Filter and Radon Transform methods can be used to attenuate multiple by isolating signal and noise data. Both methods have similarity in domain transform, F-K Filter transforms offset (x) - time (t) domain to frequency (f) - wavenumber (K) and Radon Transform operates in τ-ρ domain to separate moveout between signal and noise. Both mehods are applied on 2D marine seismic data on Kangean waters shallow depth 200-500 meter. Radon Transform shows better result on attenuating multiple compare to F-K Filter on migrated cross section line L09 and L16. Multiple attenuation increases signal to ratio (SNR) of both line L09 and L16 which lead to more accurate in interpretation.
A field test and performance evaluation of accelerated weight drop (awd250 v1.0) for shallow seismic survey
Authors: Bahar Alfian , Fatkhan  , Rachmat Sule M. 
Published: August 2019

Abstract
The acquisition of seismic reflection involves generating and recording seismic wave field on/near the surface of the earth. Success of producing high quality seismic data depend on choice of seismic sources. There are commonly seismic sources for land seismic surveys such as explosive sources, vibrators and Accelerated Weight Drop (AWD). In some cases, the use of explosive sources often faces many problems, especially related to the costs, permission and environmental issues. The use of vibrators is also similar, facing problems such as the availability of access roads, permits and the environment impact. The use of AWD seems to be a solution as an alternative seismic sources when explosive or vibroseis cannot be used for some reasons. In this research, we have designed and built a mechanical seismic source named AWD250V1.0. This hand-made AWD prototype was developed for shallow seismic surveys. To evaluate the performance of this tool and to improve the design of the prototype, a field tests have been carried out. The test was conducted in Ciparay village, Bandung Regency, West Java. The survey area is mostly paddy field with the near surface covered by clay and highly seismic attenuation. The purposes is simply whether AWD can work properly or not while maintaining data quality and safety standards. In addition, the test is intended to find out how deep penetration of seismic waves using this source. Seismic recorders used were 96 channels with interval between receivers was 10 meters. Findings showed that the deepest reflection can be seen around 450 millisecond or approximately 400 meters. To sum up, the device is work well and is able to produce good quality of seismic sources. The prototype can also meet design criteria that are repeatability, portability, economical and environmetal friendly.
Modeling of subsurface based on gravity data with second vertical derivative (SVD) and euler deconvolution optimazitation
Authors: Soleha Kania Pinasti , Handyarso Accep , Fitriani Dini , Supriyana Eddy 
Published: August 2019

Abstract
The purpose of this study is to estimated the mean depth of bedrock in the Sahul Basin and identification of subsurface geological of the research area. The study contucted in Sahul Basin, which is associated with a basins in Papua New Guinea that has been proven to produce oil and gas, with the adjacent geographical location, is expected to have the same play concept. The analysis that used in this research is Second Vertical Derivative (SVD) to know the geological structure, Euler Deconvolution to get depth solution, and Forward Modelling 2D for information of the subsurface. The results of the study have shown that the average depth of bedrock is more than 3500 meters, and structur that developed of the research area are strike slip fault, normal fault, and reverse fault, that occured due to the compression force between Australian Continental Plate and Pacific Ocean Plate.
Gravity analysis to estimate the mud stream direction in porong by applying the delaunay approach
Authors: Putra M I , Hidayah A N , Septiana L A E S , Supriyana E 
Published: August 2019

Abstract
Lumpur Lapindo eruption at Porong, Sidoarjo is still continuing, it is suspected triggered by the flow of high-pressure mud. Measurements were performed for analyzing the subsurface structure where there was subsidence of soil and mudflow in the affected areas of Lumpur Lapindo with gravity method. The results of gravity data measurements are not always regular according to planning due to unpredictable field conditions. Therefore in this research writer used geostatistics method in interpolation of gravity anomaly data. Second Vertical Derivative (SVD) is a method used to determine the fault structure. The gravity anomaly value in the Porong area is 8 mgal to -32 mgal. High-value gravity anomalies in the northwest region with the highest anomaly value of 8 mgal indicates an increased of mass density and soil degradation. While the gravity anomaly of low value in the northeastern region with the lowest anomaly is -34 mgal which indicates a decrease in subsurface mass density. The fracture structure that has been obtained can be used to determine the direction of Sidoarjo mud movement.
Landslide investigation using self potential method and electrical resistivity tomography (Pasanggrahan, South Sumedang, Indonesia)
Authors: Santoso Budy , Hasanah Mia Uswatun , Setianto  
Published: August 2019

Abstract
Landslide is a geological event that occurs because the movement of slope-forming material in the form of soil, rock or combination of material type to a lower place due to the influence of gravity. The trigger factor of landslide in Pasanggrahan, South Sumedang, Indonesia is the increase of water content in the slope and the slip plane. The slip plane began to actively to turn on when the rainy season arrives. The infiltration of rainwater into slopes as an avalanche trigger can be detected by Self Potential (SP) method. SP measurements were performed to determine changes in subsurface water flow. SP data acquisition using fixed base technique and leap frog technique. The rocks in the research area that serve as the slip plane are clays associated with Volcanic Breccia. One of the geophysical methods that can identify the slip plane is the Electrical Resistivity Tomography Method. The ERT method can detect slip plane based on rock resistivity. Based on the local geology that has been correlated with the value of Self Potential and Electrical Resistivity Tomography, the following results are obtained: water table : (1 - 13) Ohm.m and SP value : (16 - 50) mV, clay : (72 - 100) Ohm.m and volcanic breccia: (171 - 550) Ohm.m.
Erosion rate prediction model ssing SWAT and CA-Markov methods (case study: Upper Ci Catih Catchment Area)
Authors: Ramadhan Kurniawan , Supriatna  
Published: August 2019

Abstract
Landuse has a vital role that affects the movement of water on hidrological cycle. Around Upper Ci Catih Catchment Area in the past 10 years, many of various industries (ranging from smal-scale to large-scale industries) have increased. Increasing built-up area, especially settlements and industries can increase runoff that have an impact on land degradation such as erosion. This study focuses on the hydrological modelling made by SWAT (Soil Water Assesment Tools) and landuse change prediction using CA-Markov (Cellular Automata-Markov Chain) to find the effects of landuse changes on the erosion rate changes. Erosion rate prediction in 2032 based on landuse changes prediction in that year. This study shows that variations of Hydrologic Response Unit (HRU) conditions affects the erosion rate in every subwatershed. The result of accuracy and calibration test satisfied, which NS and R2 mark for SWAT validation is 0,56 and 0,72, and kappa coefficient value for CA-Markov model validation by 89%. The changes of landuse especially forest and irrigated rice fields is predicted in 2032 will decrease in every Subbasin. It will affect the increase of average erosion rate in every Subbasin by 15% of the erosion rate in 2017 on Upper Ci Catih Catchment Area.
Modelling cellular automata for the development of settlement area Bengkulu City
Authors: Pratami M , Susiloningtyas D , Supriatna  
Published: August 2019

Abstract
Population and development activity increasing push will demand higher settlements. Population density is low and becomes higher along with population growth rate and leads to centralization of settlements in certain sub-districts that will shape the dispersion pattern of settlements. The research method used in this research is Cellular Automata Modeling and Geographic Information System. The purpose of this research to identify the pattern of distribution of settlements based on population density in 2032 in Bengkulu city. The results show that the pattern of settlement distribution in the western part of Bengkulu city has high Density level and distribution pattern of clustering settlements while the North-East-South has medium to low density of population and distribution pattern of random settlement.
Semivariogram fitting based on SVM and GPR for DEM interpolation
Authors: Setiyoko A , Arymurthy A M , Basaruddin T , Arief R 
Published: August 2019

Abstract
DEM (Digital Elevation Model) as a digital model of the earth’s surface elevation could be generated from remote sensing technology such as stereo imaging for various applications. To generate DEM from stereo imagery, interpolation or approximation process stage is required. Stochastic interpolation e.g. ordinary kriging uses semivariogram fitting to calculate weights of interpolation values based on known points. This research is applying regression types of machine learning for semivariogram fitting to interpolate DEM. Previous research conducted was LS-SVM (Least Square-Support Vector Machine) and SVR (Support Vector Regression) for semivariogram fitting process. Types of SVM and GPR (Gaussian Process Regression) are adopted for semivariogram fitting for ordinary kriging interpolation in this experiment. The result showed that in general SVM types could predict accuracy better than other types of regression, and GPR types produce better DEM accuracy based on the experiment.
Delineating a low velocity zone using joint inversion of rayleigh-wave dispersion curve
Authors: Rubaiyn Al , Priyono Awali , Safani Jamhir 
Published: August 2019

Abstract
Seismic methods widely used to study the shallow subsurface for different purposes. Analysis of P-wave refraction cannot uniquely determine the seismic velocities as a function of depth when a low velocity layer is present. It is situation commonly encountered in geotechnical site investigation. Utilization of Rayleigh wave dispersion can be uses to determine the structure with existence of low velocity zone. In this study, we discuss efficiency and effectiveness of a joint inversion of Rayleigh wave dispersion curve which combining the genetic algorithm and the Occam’s algorithm to delineate a low velocity zone. Numerical test is presented. The shear wave velocity and thickness errors which is the difference between the true and inverted model parameters is used to appraise the value accuracy inversion model. The result provides accurate solution models with is 2.3 % and is 13.4%. Finally, we demonstrates the joint inversion scheme to invert Rayleigh wave dispersion curve which calculated by phase-shift method from a real example data.
The preliminary results of Lindu software: a free seismological data processing using python framework
Authors: Styawan Yudha , Andika Putu Pradnya , Suhendi Cahli , Firdaus Ruhul , Sudibyo Maria R P , Erlangga I F , Ry Rexha Verdhora 
Published: August 2019

Abstract
LINDU software is developed to solve integrated earthquake data processing. It is GUI based software that fulfil the needed for user friendly type of software. The Python framework is used for computation and visualization and integrates the common programs for earthquake data processing, such as GAD.exe, JHD.exe, and HypoDD.exe. It is also integrates the common procedure of routine data processing in earthquake seismology and works in local and regional scale. In this paper, we shows the preliminary results of LINDU software for several functions. To identify arrival time of P-wave we employ Akaike Information Criterion (AIC), MER (Modified Energy Ratio) and S/L Kurt’s method. The results of these method will be considered as guided – auto picking. However, the results also can be treated as reference for picking manually with Seisgram2k.jar. Geiger’s method is employed to locate the event location. The events can be relocated and 1D velocity can be updated by employing Joint Hypocenter Determination (JHD). The next method to relocate the event location is Double Difference (DD) algorithm. The precision result of Lindu software has been tested using IRIS and real data available which run seamlessly.
The potential of landslide in Lake Maninjau Catchment Area, West Sumatra
Authors: Raden Ayu Ramanda RS , Noor Djauhari , Ridwansyah Iwan 
Published: August 2019

Abstract
West Sumatra is amongst tectonically and volcanically active area, located at the interface of Indo-Australia and Eurasia plates. The movement of plates triggers many natural disasters, one of them is landslides. Especially Lake Maninjau that located in Tanjungraya District, Agam Regency, West Sumatra that often experience the landslide. This landslide caused physical damage and loss of life. The direct research was conducted in the field by mapping rock types, soil types, slope and then other factors such as rainfall and landuse, using Geographic Information System (GIS) based analysis using the weighted method with spatial analysis, and weighting for each parameter. The higher score and the weight, then the effect will be higher on the ground movement and vice versa. The purpose of this research is to get information about potential of landslide as the basis for the development of Lake Maninjau Watershed Area. Based on the result of DEM analysis the research area is dominated by a fairly steep slope (15%-30%) whereas the area with flat slope – very flat only 20% of 244,03 km2. Landuse as settlement, plantation, forest, water etc. Result of this research with spatial analysis is potential of ground motion in 20 locations with steep slopes around Koto Malintang Village and Tanjung Sani Village. The validation of calculation result shows 75% similarity with field data.
Onshore oil and gas reservoir detection through mapping of hydrocarbon microseepage using remote sensing
Authors: Januadi Putra Muhamad Iqbal , Huda Diki Nurul , Afdhalia Fida , Supriatna  
Published: August 2019

Abstract
Remote sensing is one of an advance technology that can be used for detecting hydrocarbon microseepage onshore. One of the advantage is specialize in rapid and low cost detection. Remote sensing technique namely multispectral scanner can overview the characteristic of seepage system as an exploration indicator of subsurface hydrocarbon. Therefore, the objective of this study is to analyse the microseepage system as indication of subsurface hydrocarbon accumulation using a multispectral imagery. The hydrocarbon-induced surface alterations of soil and sediments (clay-carbonate, ferric iron, ferrous iron) and associated anomalous vegetation were used as parameters. This research used Sentinel 2 and Landsat 8 multispectral imagery combine with the Directed Principal Component Analysis method to detect mineral alteration also using vegetation normalization to detect vegetation anomalies. The results of this study indicate the distribution of hydrocarbon microseepage distributed in area around Sungai Kenawang and Pulau Gading field, and also linear distributed in Merang River and Lalan River.