Road drainage is part of the infrastructure required for roads. This infrastructure is designed to drain water from the surface of the road to its final disposal. In general terms, drainage is a series of structures designed to reduce and remove excess water from an area or land to allow the land to function optimally. There are two types of road drainage systems, surface and subsurface. Surface drainage systems are generally open or closed channels. The method used in this research is quantitative method, where this method explains a process of seeking knowledge using data in the form of numbers as a means of analysing information about the things is desired to know about a situation that becomes the object of study and then analysed with the help of Microsoft Excel 2013 and Microsoft Word 2013 software. The comparative analysis results of the cost and time for implementation of drainage works using the conventional river stone method over a length of 192 metres requires 55 working days at a cost of Rp 123,617,000.0, while the precast U-ditch method over a length of 174 metres requires 48 working days at a cost of Rp 78,292,000.0. Where the implementation of the conventional method turns out to be 14% longer than using the precast method. The results of the analysis of the cost per metre of drainage works using the conventional river stone method and the precast u-ditch method obtained the results, which are drainage works using the conventional river stone method amounting to Rp 6,438,385 while the work using the precast u-ditch method is Rp 4,449,540, with the difference between the two methods amounting to Rp 1,988,845. Where the use of the precast method is 30% lower than the conventional method.
道路排水系统是道路所需基础设施的一部分。这种基础设施的设计目的是将路面上的水排到最终处置处。一般来说，排水系统是一系列结构，旨在减少和排除区域或土地中多余的水分，使土地发挥最佳功能。道路排水系统分为地表和地下两类。本研究中使用的方法是定量方法，这种方法解释了使用数字形式的数据作为分析信息的手段来寻求知识的过程，这些信息是希望了解成为研究对象的情况，然后在 Microsoft Excel 2013 和 Microsoft Word 2013 软件的帮助下进行分析。比较分析结果显示，使用传统河石方法实施排水工程的成本和时间为 192 米长，需要 55 个工作日，成本为 123,617,000.0 印尼盾，而使用预制 U 型沟渠方法实施 174 米长的工程需要 48 个工作日，成本为 78,292,000.0 印尼盾。使用传统河石法和预制 U 形沟法进行排水工程的每米成本分析结果显示，使用传统河石法进行排水工程的成本为 6,438,385 印尼盾，而使用预制 U 形沟法进行排水工程的成本为 4,449,540 印尼盾，两种方法之间的差额为 1,988,845 印尼盾。其中，预制方法比传统方法低 30%。
{"title":"COST AND TIME ANALYSIS OF DRAINAGE WORKS USING CONVENTIONAL RIVERSTONE METHOD AND PRECAST U-DITCH METHOD","authors":"Yulianus Brechmans Dilianto, Dimas Langga, Chandra Galuh, Widarto Sutrisno","doi":"10.33603/jgst.v8i1.135","DOIUrl":"https://doi.org/10.33603/jgst.v8i1.135","url":null,"abstract":"Road drainage is part of the infrastructure required for roads. This infrastructure is designed to drain water from the surface of the road to its final disposal. In general terms, drainage is a series of structures designed to reduce and remove excess water from an area or land to allow the land to function optimally. There are two types of road drainage systems, surface and subsurface. Surface drainage systems are generally open or closed channels.\u0000The method used in this research is quantitative method, where this method explains a process of seeking knowledge using data in the form of numbers as a means of analysing information about the things is desired to know about a situation that becomes the object of study and then analysed with the help of Microsoft Excel 2013 and Microsoft Word 2013 software.\u0000The comparative analysis results of the cost and time for implementation of drainage works using the conventional river stone method over a length of 192 metres requires 55 working days at a cost of Rp 123,617,000.0, while the precast U-ditch method over a length of 174 metres requires 48 working days at a cost of Rp 78,292,000.0. Where the implementation of the conventional method turns out to be 14% longer than using the precast method.\u0000The results of the analysis of the cost per metre of drainage works using the conventional river stone method and the precast u-ditch method obtained the results, which are drainage works using the conventional river stone method amounting to Rp 6,438,385 while the work using the precast u-ditch method is Rp 4,449,540, with the difference between the two methods amounting to Rp 1,988,845. Where the use of the precast method is 30% lower than the conventional method.","PeriodicalId":419103,"journal":{"name":"Journal of Green Science and Technology","volume":"48 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140228823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Intan Puspa Wangi, Lenggogeni Lenggogeni, Winoto Hadi
Parking is the main supporting facility in the campus environment. Jakarta State University (UNJ) is one of the state universities in the DKI Jakarta province. The increase in the number of UNJ students every year certainly causes an increase in the need for parking, especially on Campus A UNJ as the main campus. Coupled with a construction project in Campus A UNJ, the parking area, especially car parking, is getting narrower. Based on these problems, it is necessary to research parking arrangements at Campus A UNJ. This study aims to determine the need for parking and arrange the car parking area for Campus A UNJ according to the demand for car parking space that existed during the construction period. The parking space arrangement for Campus A UNJ considers UNJ's policy as the manager in allocating parking spaces in the future. Primary data was obtained by conducting a field survey using the number plate survey method and PSU calculation survey while secondary data was obtained from UNJ parking inventory data. Primary data were obtained by conducting field surveys on 29 May-31 May and 8-9 June. The results showed that the value of the need for car parking in 2023 was 367 PSU cars, while the number of parking lots available at Campus A UNJ was 389 PSU. The peak day occurs on Tuesday 30 May 2023 and the peak hour for parking accumulation occurs at 13.00-14.00 WIB. With a parking index close to 100%, this can make it difficult for drivers to find an empty parking space, especially considering the pattern of car parking in the UNJ campus A parking area rotates in one direction so that the opportunity to find an empty parking space during peak parking hours only has a one-time or one-time chance. parking spaces at peak parking hours only have a one-time chance or the driver must first exit the parking lot and then enter again to find an empty parking space. The arrangement of car parking modeling will also be presented in this article. It is hoped that the results of this early-stage research can provide an overview and recommendations on parking management methods at Campus A UNJ.
停车场是校园环境的主要配套设施。雅加达国立大学（UNJ）是雅加达省的一所国立大学。随着雅加达国立大学学生人数的逐年增加，对停车场的需求也随之增加，尤其是作为主校区的 A 校区。再加上 A 校区的建设项目，停车区域，尤其是停车场，变得越来越狭窄。基于这些问题，有必要对 A UNJ 校区的停车安排进行研究。本研究旨在确定 A UNJ 校区的停车需求，并根据施工期间对停车空间的需求安排停车区域。A UNJ 校区的停车位安排考虑了作为管理者的 UNJ 在未来停车位分配方面的政策。通过使用车牌号码调查法和 PSU 计算调查法进行实地调查获得了一手数据，而二手数据则来自于新泽西州立大学的停车库存数据。主要数据是通过 5 月 29 日至 5 月 31 日和 6 月 8 日至 6 月 9 日的实地调查获得的。结果显示，2023 年的停车需求值为 367 PSU 辆，而 UNJ 校区 A 的可用停车场数量为 389 PSU。高峰日为 2023 年 5 月 30 日（星期二），停车累积高峰时段为 13:00-14:00 WIB。由于停车指数接近 100%，这会使驾驶员很难找到空车位，特别是考虑到 UNJ 校区 A 停车场的停车模式是单向旋转的，因此在停车高峰时段找到空车位的机会只有一次或一次性机会。在停车高峰时段找到空车位的机会只有一次，或者驾驶员必须先离开停车场，然后再次进入停车场才能找到空车位。本文还将介绍停车场建模的安排。希望这一初步研究成果能为 A 校区的停车管理方法提供一个概览和建议。
{"title":"CAR PARKING NEEDS ANALYSIS AT CAMPUS A, JAKARTA STATE UNIVERSITY IN THE CONSTRUCTION PERIOD","authors":"Intan Puspa Wangi, Lenggogeni Lenggogeni, Winoto Hadi","doi":"10.33603/jgst.v8i1.123","DOIUrl":"https://doi.org/10.33603/jgst.v8i1.123","url":null,"abstract":"Parking is the main supporting facility in the campus environment. Jakarta State University (UNJ) is one of the state universities in the DKI Jakarta province. The increase in the number of UNJ students every year certainly causes an increase in the need for parking, especially on Campus A UNJ as the main campus. Coupled with a construction project in Campus A UNJ, the parking area, especially car parking, is getting narrower. Based on these problems, it is necessary to research parking arrangements at Campus A UNJ.\u0000This study aims to determine the need for parking and arrange the car parking area for Campus A UNJ according to the demand for car parking space that existed during the construction period. The parking space arrangement for Campus A UNJ considers UNJ's policy as the manager in allocating parking spaces in the future. Primary data was obtained by conducting a field survey using the number plate survey method and PSU calculation survey while secondary data was obtained from UNJ parking inventory data. Primary data were obtained by conducting field surveys on 29 May-31 May and 8-9 June.\u0000The results showed that the value of the need for car parking in 2023 was 367 PSU cars, while the number of parking lots available at Campus A UNJ was 389 PSU. The peak day occurs on Tuesday 30 May 2023 and the peak hour for parking accumulation occurs at 13.00-14.00 WIB. With a parking index close to 100%, this can make it difficult for drivers to find an empty parking space, especially considering the pattern of car parking in the UNJ campus A parking area rotates in one direction so that the opportunity to find an empty parking space during peak parking hours only has a one-time or one-time chance. parking spaces at peak parking hours only have a one-time chance or the driver must first exit the parking lot and then enter again to find an empty parking space. The arrangement of car parking modeling will also be presented in this article. It is hoped that the results of this early-stage research can provide an overview and recommendations on parking management methods at Campus A UNJ.","PeriodicalId":419103,"journal":{"name":"Journal of Green Science and Technology","volume":"58 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140230313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The implementation of safe road infrastructure can be defined by the minimum number of traffic accidents that occur on these roads. Traffic accidents can caused by several factors, encompassing the geometric attributes of the road, characteristics of vehicles, human elements, and environmental conditions. Previous studies have identified specific geometric features, including superelevation, degree of curvature, road slope, and shoulder type, as influential factors in traffic accidents. Simultaneously, the state of the pavement, characterized by issues such as rutting, potholes, IRI value, and skid resistance, also plays a crucial role in traffic accident. The interplay between road geometric and pavement conditions underscores the importance of effective road management for ensuring safety. Existing research highlights a correlation between road geometric and road damage, with the Pavement Condition Index (PCI) directly correlating with road and shoulder width, and inversely correlating with transverse and longitudinal road slope. This phenomenon is, in part, attributed to heightened shear strain on narrow road shoulders and a reduction in the resilience modulus value of the subgrade on sloped roads.
{"title":"CORRELATION ROAD GEOMETRIC ON ROAD DAMAGE","authors":"Y. Astor, Ananda Amatory Zahra, A. V. Sihombing","doi":"10.33603/jgst.v8i1.124","DOIUrl":"https://doi.org/10.33603/jgst.v8i1.124","url":null,"abstract":"The implementation of safe road infrastructure can be defined by the minimum number of traffic accidents that occur on these roads. Traffic accidents can caused by several factors, encompassing the geometric attributes of the road, characteristics of vehicles, human elements, and environmental conditions. Previous studies have identified specific geometric features, including superelevation, degree of curvature, road slope, and shoulder type, as influential factors in traffic accidents. Simultaneously, the state of the pavement, characterized by issues such as rutting, potholes, IRI value, and skid resistance, also plays a crucial role in traffic accident. The interplay between road geometric and pavement conditions underscores the importance of effective road management for ensuring safety. Existing research highlights a correlation between road geometric and road damage, with the Pavement Condition Index (PCI) directly correlating with road and shoulder width, and inversely correlating with transverse and longitudinal road slope. This phenomenon is, in part, attributed to heightened shear strain on narrow road shoulders and a reduction in the resilience modulus value of the subgrade on sloped roads.","PeriodicalId":419103,"journal":{"name":"Journal of Green Science and Technology","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140228865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PT X is one of the Reviews largest ethanol producing plant in Indonesia, PT X located ± 15 km the northeast of Solo or 110 Km to the south of Central Java, SeAprilang. Cooling Tower is a tower or building of water circulation directly or indirectly contact with hot water and then converted into cold water expected that a number of heat from a fluid to another fluid. The Cooling Tower operates According to the diffusion principle, where temperature changes can result in a difference in the rate of temperature displacement. From the process in the cooling tower unit there are Several variables contained in the cooling towers ranging from the temperature and water conductivity in the hot basin. Obtained from the variables can be used to analyze the effectiveness of the cooling tower unit. When the conductivity contained in the water in the basin of hot high then the effectiveness of cooling tower will Decrease, likewise vice versa. And the value of effectiveness Obtained range of 76.12% - 87.80%. Where the company's standard value is 75% effectiveness. There are Several factors Determining the high value of conductivity values such as chemical mixing, high temperature in the cooling tower, and the temperature around the cooling tower.
{"title":"THE EFFECT OF TEMPERATURE AND WATER CONDUCTIVITY IN HOT BASIN TOWARD EFFECTIVENESS OF COOLING TOWER ON UTILITY UNIT PT. X","authors":"Indah Dhamayanthie, Y. Mulyani","doi":"10.33603/jgst.v7i1.11","DOIUrl":"https://doi.org/10.33603/jgst.v7i1.11","url":null,"abstract":"PT X is one of the Reviews largest ethanol producing plant in Indonesia, PT X located ± 15 km the northeast of Solo or 110 Km to the south of Central Java, SeAprilang. Cooling Tower is a tower or building of water circulation directly or indirectly contact with hot water and then converted into cold water expected that a number of heat from a fluid to another fluid. The Cooling Tower operates According to the diffusion principle, where temperature changes can result in a difference in the rate of temperature displacement. From the process in the cooling tower unit there are Several variables contained in the cooling towers ranging from the temperature and water conductivity in the hot basin. Obtained from the variables can be used to analyze the effectiveness of the cooling tower unit. When the conductivity contained in the water in the basin of hot high then the effectiveness of cooling tower will Decrease, likewise vice versa. And the value of effectiveness Obtained range of 76.12% - 87.80%. Where the company's standard value is 75% effectiveness. There are Several factors Determining the high value of conductivity values such as chemical mixing, high temperature in the cooling tower, and the temperature around the cooling tower.","PeriodicalId":419103,"journal":{"name":"Journal of Green Science and Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114326726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Floods are natural disasters that often occur in various parts of the world, especially in flood-prone areas. Floods occur when water from rivers, lakes or seas overflows beyond its holding capacity. Floods can cause great damage to infrastructure, plants, animals and people. To overcome floods that occur frequently every year, it is necessary to map areas prone to flooding accurately and quickly using GIS which can be used to accurately monitor the location and area of the area that is experiencing flooding. This study aims to analyze flood-prone areas and compile maps of flood-prone areas and describe the conditions of flood-prone areas in Bojonegoro Regency based on Geographic Information Systems (GIS). Data processed using GIS include: RBI Map of Bojonegoro Regency, River Map, Soil Type Map, Rainfall Data, Landsat Imagery Data, Flood incident data in Bojonegoro Regency. From the results of data processing, the results of the analysis are as follows: The level of flood-prone areas in Bojonegoro Regency is divided into 3 classes, namely: very vulnerable class of 49,963.671 Ha or around 21.66% of the sub-districts in Bojonegoro including the District: Margomulyo , Ngraho, Padangan, Kasiman, Malo, Purwosari, Trucuk, Kalitidu, Ngasem, Bojonegoro, Kapas, Dander, Balen, Kanor, Baureno, Sumberrejo, Kepohbaru and Gondang. The vulnerable class of 173,162.171 Ha or around 75.05% is in sub-districts including: Margomulyo, Ngraho, Tambakrejo, Kedewan District, Malo, Trucuk, Sekar, Ngambon, Ngasem, Gondang, Bubulan, Dander, Temayang, Sugihwaras and Kedungadem. The non-prone class is 7,580.157 ha or 3.29% in the sub-districts including: Margomulyo, Ngraho, Tambakrejo, Kedewan, Malo, Trucuk, Sekar, Ngambon, Gondang, Temayang, Sugihwaras and Kedungadem. Areas that have a high level of vulnerability are around the Bengawan Solo River which crosses Bojonegoro Regency. This can be caused because the area around the Bengawan Solo River has a height of <25 m and frequent flooding from the upstream and tributaries of the Bengawan Solo River.
洪水是一种自然灾害，经常发生在世界各地，特别是在洪水易发地区。当河流、湖泊或海洋的水溢出超过其承载能力时，就会发生洪水。洪水会对基础设施、植物、动物和人造成巨大的破坏。为了克服每年频繁发生的洪水，有必要使用GIS准确快速地绘制容易发生洪水的地区，从而可以准确地监测遭受洪水的地区的位置和面积。本研究旨在基于地理信息系统(GIS)对Bojonegoro县的洪水易发地区进行分析，编制洪水易发地区地图，描述洪水易发地区的情况。利用GIS处理的数据包括:Bojonegoro县RBI图、河流图、土壤类型图、降雨数据、Landsat图像数据、Bojonegoro县洪水事件数据。从数据处理结果来看，分析结果如下:将博永内哥罗县的洪水易发地区分为3个等级，即:非常脆弱等级为49,963.671 Ha，约占博永内哥罗县21.66%的街道，包括:Margomulyo、Ngraho、Padangan、Kasiman、Malo、Purwosari、Trucuk、Kalitidu、Ngasem、Bojonegoro、Kapas、Dander、Balen、Kanor、Baureno、Sumberrejo、Kepohbaru和Gondang。173,162.171公顷的弱势群体(约75.05%)生活在以下各区:Margomulyo、Ngraho、Tambakrejo、Kedewan区、Malo、Trucuk、Sekar、Ngambon、Ngasem、Gondang、Bubulan、Dander、Temayang、Sugihwaras和Kedungadem。非易发区面积为7,580.157公顷，占3.29%，包括:Margomulyo、Ngraho、Tambakrejo、Kedewan、Malo、Trucuk、Sekar、Ngambon、Gondang、Temayang、Sugihwaras和Kedungadem。本加万索罗河(Bengawan Solo River)周围的地区是高度脆弱的地区，这条河穿过Bojonegoro摄政区。这可能是因为班加万梭罗河周围地区的高度小于25米，而且班加万梭罗河的上游和支流经常发生洪水。
{"title":"ANALYSIS OF MAPPING OF THE LEVEL OF FLOOD PRONECTION IN BOJONEGORO REGENCY BASED ON GEOGRAPHIC INFORMATION SYSTEM","authors":"Mushthofa Mushthofa, M. Qomaruddin","doi":"10.33603/jgst.v7i1.13","DOIUrl":"https://doi.org/10.33603/jgst.v7i1.13","url":null,"abstract":"Floods are natural disasters that often occur in various parts of the world, especially in flood-prone areas. Floods occur when water from rivers, lakes or seas overflows beyond its holding capacity. Floods can cause great damage to infrastructure, plants, animals and people. To overcome floods that occur frequently every year, it is necessary to map areas prone to flooding accurately and quickly using GIS which can be used to accurately monitor the location and area of the area that is experiencing flooding. This study aims to analyze flood-prone areas and compile maps of flood-prone areas and describe the conditions of flood-prone areas in Bojonegoro Regency based on Geographic Information Systems (GIS). Data processed using GIS include: RBI Map of Bojonegoro Regency, River Map, Soil Type Map, Rainfall Data, Landsat Imagery Data, Flood incident data in Bojonegoro Regency. From the results of data processing, the results of the analysis are as follows: The level of flood-prone areas in Bojonegoro Regency is divided into 3 classes, namely: very vulnerable class of 49,963.671 Ha or around 21.66% of the sub-districts in Bojonegoro including the District: Margomulyo , Ngraho, Padangan, Kasiman, Malo, Purwosari, Trucuk, Kalitidu, Ngasem, Bojonegoro, Kapas, Dander, Balen, Kanor, Baureno, Sumberrejo, Kepohbaru and Gondang. The vulnerable class of 173,162.171 Ha or around 75.05% is in sub-districts including: Margomulyo, Ngraho, Tambakrejo, Kedewan District, Malo, Trucuk, Sekar, Ngambon, Ngasem, Gondang, Bubulan, Dander, Temayang, Sugihwaras and Kedungadem. The non-prone class is 7,580.157 ha or 3.29% in the sub-districts including: Margomulyo, Ngraho, Tambakrejo, Kedewan, Malo, Trucuk, Sekar, Ngambon, Gondang, Temayang, Sugihwaras and Kedungadem. Areas that have a high level of vulnerability are around the Bengawan Solo River which crosses Bojonegoro Regency. This can be caused because the area around the Bengawan Solo River has a height of <25 m and frequent flooding from the upstream and tributaries of the Bengawan Solo River.","PeriodicalId":419103,"journal":{"name":"Journal of Green Science and Technology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115503945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shinta Novriani, Mira Lestira Hariani, Fathur Rohman
Cirebon City is one of the metropolitan areas stipulated in PP No. 26 of 2008 namely RTRWN as a National Activity Center (PKN) in developing metropolitan areas, especially in Ciayumajakuning area. The Cirebon City has become the center of economic growth, resulting in an increase in the flow of urbanization and in line with social dynamics that must be considered due to urban city activities. One of the impacts of urban cities is the increase in traffic density, causing a decrease in traffic performance. The purpose of this study is to determine the existing conditions of railroad level crossings in Cirebon City and see their impact on traffic performance, social dynamics and economic growth in Cirebon City. The research method used is a survey method, including traffic volume surveys, train frequency surveys, and calculating queue lengths and calculating delays. Based on the result of a survey on 8 roads in the Cirebon City with an average capacity of 3191 smp/hour, the degree of saturation is 0.5, the Level of Service value is C, which means the flow is stable, the speed can be controlled by traffic. However, if it is review based on an economic analysis related to the loss of community income due to level crossings if it is assumed that the average income of the people of Cirebon City is IDR 2.304.943.51 each individual experiences losses ranging from IDR 0 – IDR 768.314 for one month depending on the how long the individual experiences waiting time at a level crossing. If analyzed based on fuel consumption, each individual experiences a loss of IDR 0 – IDR 30.294 per month depending on the waiting time and the type of fuel used and if it is associated with the economic growth of Cirebon City, it is expected to increase the contribution of GRDP for each sector and respondents feel that level crossing are very important affect their travel interest.
{"title":"THE INFLUENCE OF LEVEL CROSSINGS ON ECONOMIC GROWTH AND SOCIAL DYNAMICS IN CIREBON CITY","authors":"Shinta Novriani, Mira Lestira Hariani, Fathur Rohman","doi":"10.33603/jgst.v7i1.12","DOIUrl":"https://doi.org/10.33603/jgst.v7i1.12","url":null,"abstract":"Cirebon City is one of the metropolitan areas stipulated in PP No. 26 of 2008 namely RTRWN as a National Activity Center (PKN) in developing metropolitan areas, especially in Ciayumajakuning area. The Cirebon City has become the center of economic growth, resulting in an increase in the flow of urbanization and in line with social dynamics that must be considered due to urban city activities. One of the impacts of urban cities is the increase in traffic density, causing a decrease in traffic performance. The purpose of this study is to determine the existing conditions of railroad level crossings in Cirebon City and see their impact on traffic performance, social dynamics and economic growth in Cirebon City. The research method used is a survey method, including traffic volume surveys, train frequency surveys, and calculating queue lengths and calculating delays. Based on the result of a survey on 8 roads in the Cirebon City with an average capacity of 3191 smp/hour, the degree of saturation is 0.5, the Level of Service value is C, which means the flow is stable, the speed can be controlled by traffic. However, if it is review based on an economic analysis related to the loss of community income due to level crossings if it is assumed that the average income of the people of Cirebon City is IDR 2.304.943.51 each individual experiences losses ranging from IDR 0 – IDR 768.314 for one month depending on the how long the individual experiences waiting time at a level crossing. If analyzed based on fuel consumption, each individual experiences a loss of IDR 0 – IDR 30.294 per month depending on the waiting time and the type of fuel used and if it is associated with the economic growth of Cirebon City, it is expected to increase the contribution of GRDP for each sector and respondents feel that level crossing are very important affect their travel interest.","PeriodicalId":419103,"journal":{"name":"Journal of Green Science and Technology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134293076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PT Pertamina EP Asset 3 Tambun Field is a state-owned company engaged in Production Exploration, in the process this company has tools that must pay attention to the noise level, namely Compressors and Gensets. Compressors and generators are very influential on hearing loss in workers, therefore efforts to prevent hearing loss must be carried out. The objectives to be known are to know the noise conservation program, Standard Operating Procedures (SOP) in implementing noise conservation, and Implementation of Noise Conservation in Compressor and Genset Areas. This research method uses direct observation, interviews and literature studies. The results show that the Hearing Conservation Program has 7 (seven) components, namely: noise exposure survey, noise control, worker training, personal protective equipment, audiometric examination, recording and reporting, program assessment. The procedure used refers to the Individual Work Procedure (TKI) for Noise Measurement. The implementation of the Noise Measurement Program is carried out by the contractor once every 1 (one) year or every time there is a process change or a new tool. The Hearing Conservation Program must continue to make continuous improvements. It should be noted in monitoring workers in the Genset and Compressor area so that workers always use hearing protection equipment.
PT Pertamina EP Asset 3 Tambun油田是一家从事生产勘探的国有公司，在这个过程中，该公司有必须注意噪音水平的工具，即压缩机和发电机组。压缩机和发电机对工人的听力损失影响很大，因此必须努力防止听力损失。要了解的目标是了解噪声保护计划，执行噪声保护的标准操作程序(SOP)，以及压缩机和发电机组区域噪声保护的实施。本研究方法采用直接观察法、访谈法和文献研究法。结果表明，听力保护计划有7个组成部分，即:噪声暴露调查、噪声控制、工人培训、个人防护装备、听力检查、记录报告、计划评估。所采用的程序是指量度噪音的个别工作程序。噪音测量计划的实施由承包商每1年或每次有工艺变化或新工具时进行。听力保护计划必须继续不断改进。在对发电机组和压缩机区域的工作人员进行监控时应注意，使工作人员始终使用听力保护设备。
{"title":"DESCRIPTION OF NOISE IN THE COMPRESSOR AND GENERATOR AREA AT PT PERTAMINA EP ASSET 3 TAMBUN FIELD – BEKASI","authors":"Pipit Marfiana","doi":"10.33603/jgst.v7i1.14","DOIUrl":"https://doi.org/10.33603/jgst.v7i1.14","url":null,"abstract":"PT Pertamina EP Asset 3 Tambun Field is a state-owned company engaged in Production Exploration, in the process this company has tools that must pay attention to the noise level, namely Compressors and Gensets. Compressors and generators are very influential on hearing loss in workers, therefore efforts to prevent hearing loss must be carried out. The objectives to be known are to know the noise conservation program, Standard Operating Procedures (SOP) in implementing noise conservation, and Implementation of Noise Conservation in Compressor and Genset Areas. This research method uses direct observation, interviews and literature studies. The results show that the Hearing Conservation Program has 7 (seven) components, namely: noise exposure survey, noise control, worker training, personal protective equipment, audiometric examination, recording and reporting, program assessment. The procedure used refers to the Individual Work Procedure (TKI) for Noise Measurement. The implementation of the Noise Measurement Program is carried out by the contractor once every 1 (one) year or every time there is a process change or a new tool. The Hearing Conservation Program must continue to make continuous improvements. It should be noted in monitoring workers in the Genset and Compressor area so that workers always use hearing protection equipment.\u0000 ","PeriodicalId":419103,"journal":{"name":"Journal of Green Science and Technology","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129724581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The HPGe detector is a device that should be cooled when used and can be operated at room temperature. For this reason, it is necessary to monitor the temperature and humidity in the HPGe detector storage area to produce optimal performance. This research was focused on designing a Smart Detector Environment System as a means of monitoring and automatic control of temperature and humidity in the HPGe detector storage. Temperature and humidity detection in the system was carried out by the DHT22 sensor connected to Arduino Uno and the motor driver module. Arduino uno gave the command "00000011" to detect the temperature in the chamber, and "00000101" to start the detection of humidity in the chamber, then the data generated by the DHT22 sensor would be displayed and processed by LabVIEW, which was used to move the fan to regulate the temperature and humidity in the system with the condition that the lamp on the chamber was left on (manual). The results obtained were in the form of a design and automatic control of temperature and humidity monitoring and control in the HPGe detector storage whose temperature could be adjusted automatically according to the needs of the HPGe detector.
{"title":"DESIGN PROTOTYPE OF SMART DETECTOR ENVIRONMENT SYSTEM ON SEMICONDUCTOR DETECTOR STORAGE (HPGE)","authors":"Rindi Wulandari","doi":"10.33603/jgst.v6i2.7067","DOIUrl":"https://doi.org/10.33603/jgst.v6i2.7067","url":null,"abstract":"The HPGe detector is a device that should be cooled when used and can be operated at room temperature. For this reason, it is necessary to monitor the temperature and humidity in the HPGe detector storage area to produce optimal performance. This research was focused on designing a Smart Detector Environment System as a means of monitoring and automatic control of temperature and humidity in the HPGe detector storage. Temperature and humidity detection in the system was carried out by the DHT22 sensor connected to Arduino Uno and the motor driver module. Arduino uno gave the command \"00000011\" to detect the temperature in the chamber, and \"00000101\" to start the detection of humidity in the chamber, then the data generated by the DHT22 sensor would be displayed and processed by LabVIEW, which was used to move the fan to regulate the temperature and humidity in the system with the condition that the lamp on the chamber was left on (manual). The results obtained were in the form of a design and automatic control of temperature and humidity monitoring and control in the HPGe detector storage whose temperature could be adjusted automatically according to the needs of the HPGe detector.","PeriodicalId":419103,"journal":{"name":"Journal of Green Science and Technology","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116596006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Moh Rizal Ngambah Sagara, M. Sari, I. Septiariva, I. W. Suryawan
Leachate is one of the results of rainwater infiltration and the degradation of microorganisms in waste. Some leachate types usually contain salinity which is an inhibitor in biological treatment processes. Aerobic biological treatment usually also requires sufficient dissolved oxygen (DO) levels. This study aimed to determine the effect of salinity on oxygen transfer in saline leachate. This study used a DO meter to measure the DO concentration in the 2 L volume reactor. There were two variations, namely leachate without salinity and with salinity 6 ppt, where the processing was carried out with three repetitions. The final oxygen transfer coefficients for the leachate without salinity and with salinity were 0.021 and 0.014, respectively. While the detention time required for leachate without salinity is 47.5 minutes, it takes 71.43 minutes with salinity.
{"title":"THE EFFECT OF SALINITY ON OXYGEN TRANSFER PROCESS IN LEACHATE WITH A LOW INITIAL COD CONCENTRATION","authors":"Moh Rizal Ngambah Sagara, M. Sari, I. Septiariva, I. W. Suryawan","doi":"10.33603/jgst.v6i2.6911","DOIUrl":"https://doi.org/10.33603/jgst.v6i2.6911","url":null,"abstract":"Leachate is one of the results of rainwater infiltration and the degradation of microorganisms in waste. Some leachate types usually contain salinity which is an inhibitor in biological treatment processes. Aerobic biological treatment usually also requires sufficient dissolved oxygen (DO) levels. This study aimed to determine the effect of salinity on oxygen transfer in saline leachate. This study used a DO meter to measure the DO concentration in the 2 L volume reactor. There were two variations, namely leachate without salinity and with salinity 6 ppt, where the processing was carried out with three repetitions. The final oxygen transfer coefficients for the leachate without salinity and with salinity were 0.021 and 0.014, respectively. While the detention time required for leachate without salinity is 47.5 minutes, it takes 71.43 minutes with salinity.","PeriodicalId":419103,"journal":{"name":"Journal of Green Science and Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129182069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jatigede dam development in Sumedang, West Java, was planned in the 1960s and facing a dynamic revolution in Indonesia’s Governmental System. The political shift causes a change in the government’s priority of development, and as a result, this project had been postponed for decades. In the 1980s, The Government had given land compensation to the rural householder who lives at the site plan. The long-postponed development execution makes rural people unaware to leave the site and continue living on the compensated land for generations. Then in 2012, Government decides to execute the development as a targeted Indonesian Economic Master Plan to boost economic growth. This sudden regulation causes shock and stress for rural people’s livelihood since they should change their way of living in a short time since access to resources became limited by inundation. However, the Dam development unavoidably causes rural transformation that has an impact on rural people’s livelihood. Rural Livelihood transformation can be seen in livelihood assets including natural, financial, physical, human, and social assets condition after the inundation. This paper aims to identify the condition of rural livelihood assets as an impact of rural transformation caused by Jatigede Dam development in Sumedang, West Java. Therefore, the study outcomes were determined as a recommendation for preventing vulnerability by implementing programs for the impacted rural household.
{"title":"RURAL LIVELIHOOD TRANSFORMATION AS AN EFFECT OF JATIGEDE DAM DEVELOPMENT IN SUMEDANG WEST JAVA","authors":"Arni Muslimah Handayani Widjaja","doi":"10.33603/jgst.v6i2.7500","DOIUrl":"https://doi.org/10.33603/jgst.v6i2.7500","url":null,"abstract":"Jatigede dam development in Sumedang, West Java, was planned in the 1960s and facing a dynamic revolution in Indonesia’s Governmental System. The political shift causes a change in the government’s priority of development, and as a result, this project had been postponed for decades. In the 1980s, The Government had given land compensation to the rural householder who lives at the site plan. The long-postponed development execution makes rural people unaware to leave the site and continue living on the compensated land for generations. Then in 2012, Government decides to execute the development as a targeted Indonesian Economic Master Plan to boost economic growth. This sudden regulation causes shock and stress for rural people’s livelihood since they should change their way of living in a short time since access to resources became limited by inundation. However, the Dam development unavoidably causes rural transformation that has an impact on rural people’s livelihood. Rural Livelihood transformation can be seen in livelihood assets including natural, financial, physical, human, and social assets condition after the inundation. This paper aims to identify the condition of rural livelihood assets as an impact of rural transformation caused by Jatigede Dam development in Sumedang, West Java. Therefore, the study outcomes were determined as a recommendation for preventing vulnerability by implementing programs for the impacted rural household.","PeriodicalId":419103,"journal":{"name":"Journal of Green Science and Technology","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123368499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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