ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science)最新文献

{"title":"KAJIAN KUALITAS AIR DI PERAIRAN DESA SUMBERKIMA DAN DESA PEMUTERAN, KECAMATAN GEROKGAK, KABUPATEN BULELENG, PROVINSI BALI","authors":"Axel Gilbert Logan, Masita Dwi Mandini Manessa, Muhammad Dimyati, Anisya Feby Efriana, M. Haidar","doi":"10.24843/ejes.2023.v17.i02.p04","DOIUrl":"https://doi.org/10.24843/ejes.2023.v17.i02.p04","url":null,"abstract":"Water quality has a significant impact on aquaculture productivity. Water quality characteristics influence fishing production. This study employs numerous prior research techniques to assess air quality factors such as Total Suspend Solid (TSS), salinity, Sea Surface Temperature (SST), and dissolved oxygen. However, physical elements such as rainfall, which are separated into wet and dry months in this study, have an impact on water quality. The approach was developed using Landsat-8 OLI satellite images. The algorithm's output is validated for data accuracy using Pearson correlation, root mean square error (RMSE), and R-square. The findings suggest that the distribution of water quality in dry and rainy months is low in coastal areas and high in locations adjacent to open waters. Furthermore, it was discovered that the average value of the distribution of TSS in dry months was lower than in wet months, the mean value of the distribution of salinity in dry months was higher than in wet months, the average value of the SST distribution in dry months was higher than in wet months, and the mean value of the dissolved oxygen distribution in dry months was lower than in wet months. Keywords: Water suitability; Landsat-8; Water Quality; Remote Sensing","PeriodicalId":207732,"journal":{"name":"ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science)","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139245584","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}

{"title":"STATUS PENGELOLAAN PERIKANAN SIDAT (Anguilla Spp.) BERDASARKAN PADA PENDEKATAN EKOSISTEM DI DAERAH ALIRAN SUNGAI (DAS) CIMANDIRI, JAWA BARAT","authors":"F. R. Fachri, I. W. Arthana, I. N. Merit, Achmad Mustofa","doi":"10.24843/ejes.2023.v17.i01.p08","DOIUrl":"https://doi.org/10.24843/ejes.2023.v17.i01.p08","url":null,"abstract":"Anguilla spp. is a catadromous fish species that have high export value in supporting the livelihood and food source for the local community in the Cimandiri Watershed, West Java, which is involved in the Indonesian Fisheries Management Area - Inland Waters (WPPNRI-PD) 432. However, pressure on habitat and watershed ecosystems is leading to degradation due to anthropogenic activities is inevitable. This study aimed to determine the composite index of the seven domains and the eel-fishery management status performance based on the EAFM approach in the Cimandiri watershed. The research was carried out from April 2021–February 2022, using a quantitative method focused on testing theory by measuring research variables with numbers and analyzing data based on the findings in each domain. The ex-situ and in-situ data were collected through direct measurements and in-depth interviews with respondents. Subsequently, the composite scores of domains were calculated using flag modeling (multi-criteria analysis). The results highly likely indicated that habitat and social are the lowest-performance domains and require more attention for improvements. In general, the status of the eel fishery management using the EAFM approach in the Cimandiri watershed is fairly good. However, integration of multi-sectoral collaboration is highly needed through the development of effective co-management by maximizing the roles of the community to be further involved in planning and implementing the management actions of the Cimandiri watershed in the form of participative, community-based, toward sustainable use of the resources. \u0000Kata kunci: Eel, Cimandiri Watershed, EAFM, Co-management","PeriodicalId":207732,"journal":{"name":"ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129897072","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}

{"title":"MODEL ANALISIS DYNAMIC LIMBAH MEDIS RUMAH SAKIT DI DENPASAR BALI","authors":"Maulidiyah Nurma Alfiyanti, Ni Made, U. Dwipayanti, I. Made, S. Wijana","doi":"10.24843/ejes.2023.v17.i01.p11","DOIUrl":"https://doi.org/10.24843/ejes.2023.v17.i01.p11","url":null,"abstract":"Denpasar has 18 hospitals, 11 health centers, and 25 sub-health centers located at South Denpasar, East Denpasar, West Denpasar, and North Denpasar (Dinkes, 2020). The average medical waste generated every day is 1800 kg/day or 1.8 tons day (DLHK, 2018). The methods to develop solid medical waste management include minimizing medical waste from its source, sorting, storing, reusing and recycling, collecting, transporting, storing, processing, and destroying it (Health Ministry of the Republic of Indonesia, 2018). Dynamic analysis is the right approach to examine a complex problem with limited data. This research uses quantitative and qualitative based on primary and secondary data. Research where located in 15 public hospitals in Denpasar City. The time of research starts in November – December 2021 with a prediction period of 10 years until 2030. According to the result he weight of solid medical waste increased from year to year. In 2022 the weight of medical waste was redicted to reach 727.75 kg or 730 tons. The weight of solid medical waste becomes 436.136 kg or 436 tons with a 40% reduction policy implemented in its entirety. The cost aspect of simulation without hospital policy will cost more than IDR 9 billion per year. The proposed solution to maximize the combination of solid medical waste reduction and management policies in Bali. These efforts can minimize costs and reduce the production of solid medical waste from source to utilization. \u0000Keywords: Dynamic Analysis Model, Technical Aspect, Hospital, Medical Waste","PeriodicalId":207732,"journal":{"name":"ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125461767","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}

{"title":"THE ACCURACY OF GILILAWA DARAT WILDFIRE SPREAD ESTIMATION USING BURN SEVERITY AND WRF-SFIRE MODEL","authors":"Imam Barnadi, T. Osawa, Wayan Nuarsa","doi":"10.24843/ejes.2023.v17.i01.p09","DOIUrl":"https://doi.org/10.24843/ejes.2023.v17.i01.p09","url":null,"abstract":"In this research, the origin of the wildfire area is assessed by using the potential of burn severity and the WRF-SFIRE model. This research focuses on the mountainous savanna region, by taking the case of the Gililawa Darat wildfire event. The most accurate index among Sentinel-2B optical burn severity indices, i.e. dNBR, MIRBI, dMIRBI, CSI, dCSI, NDVI, dNDVI, EVI, and dEVI and among Landsat-8 OLI/TIRS thermal and mixed burn severity indices, i.e. LST, dLST, LST/EVI, and d(LST/EVI) was used to map the areas with low burn severity, an indication generally found at origin area. A series of fire spread simulation from these areas was conducted using WRF-SFIRE to assess the accuracy of each simulation in reproducing the burned area. The burn severity accuracy assessment showed that dNBR and dCSI indices had the highest value of Overall Accuracy and Kappa Hat Coefficient, i.e. 91.67% and 0.889 (almost perfect agreement). However, dNBR was the most suitable index for mapping burn severity in the region due to its goodness-of-fit measure for linear regression model with the R-squared value of 0.7856. The assessment of thermal and mixed burn severity indices based on Landsat-8 OLI/TIRS resulted in LST, LST/EVI, and d(LST/EVI) gained the same overall accuracy of 58.33% and Kappa Hat Coefficient of 0.444 indicating moderate agreement, whereas dLST performed poorer than these indices. However, it is not recommended to use these burn severity indices in the region due to the nonlinearity of severity level with the index value. According to WRF-SFIRE simulations result, it was found that fire ignition started from low burn severity area coordinates which have a distance of 0 to 334 metres from the origin area resulting in fire area witan h overall accuracy value range from 77.04% to 81.90% and Kappa Hat Coefficient value range from 0.536 to 0.626. The simulation from the origin area resulted in an overall accuracy of 81.57%, a Kappa hat coefficient of 0.613, underestimated burned area ratio of 0.08, overestimated burned area ratio of 0.23, and a backing fire perimeter difference ratio of 0.4 to the reference. \u0000Keywords: wildfire; Gililawa Darat; wildfire spread; burn severity; WRF-SFIRE, fire origin area","PeriodicalId":207732,"journal":{"name":"ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125292101","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}

{"title":"ANALISIS DISPERSI EMISI CEROBONG PEMBANGKIT LISTRIK DI PT. INDONESIA POWER BALI PGU PESANGGARAN","authors":"I. W. G. Sutasoma, I. W. Nuarsa, I. M. Sara Wijana","doi":"10.24843/ejes.2023.v17.i01.p07","DOIUrl":"https://doi.org/10.24843/ejes.2023.v17.i01.p07","url":null,"abstract":"Air as an important environmental component in life that needs to be maintained and improved in quality. The presence of human activity causes the composition of clean air to undergo changes. Air pollution is caused by several factors. One of them is the industrial activities of power plants that use fossil fuels and natural gas. This research was conducted to monitor the distribution of emissions produced by power plants in PT. Indonesia Power Bali PGU uses Geographic Information System (GIS) technology and is validated using the paired t-test method. The result is that the direction of distribution of each emission parameter (SO2, NO2 and Dust (TSP)) follows the wind direction according to data obtained from BMKG with a downward trend according to the distance traveled. This is because emissions are propagated by wind with dispersion variables at any given distance. The degree of validity of the modeling analysis with the results of ambient air quality measurements at each monitoring point of the SO2 and NO2 parameters is no difference between the results obtained. However, for dust parameters (TSP) there are significant differences. This is due to atmospheric conditions at the time of sampling, the location of the monitoring point surrounded by buildings, 1 sample point being on the side of the highway, and community activities around the monitoring point location. \u0000Keywords: Power Plant Emission; Air Quaity Control; Geographic Information System (GIS); Gaussian Disperssion","PeriodicalId":207732,"journal":{"name":"ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130362908","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}

{"title":"ANALISIS STATUS MUTU AIR SUNGAI KARANG MUMUS SEGMEN JEMBATAN S. PARMAN DAN JEMBATAN PERNIAGAAN KOTA SAMARINDA","authors":"Rini Ariesa Puspa, Vita Pramaningsih, A. Daramusseng","doi":"10.24843/ejes.2023.v17.i01.p10","DOIUrl":"https://doi.org/10.24843/ejes.2023.v17.i01.p10","url":null,"abstract":"Karang Mumus is a river that is widely used by the community for various activities to meet the needs of life such as bathing, washing and as a source of drinking water. This causes water quality to decline and results in health impacts on river users. The purpose of this study was to analyze the water quality status of the Karang Mumus River Segment of the S. Parman Bridge and the Perniagaan Bridge of Samarinda City. This research is an observational descriptive study, which is to find out what are the potential sources of pollution in river water, find out how the quality of river water is using the Pollution Index method and find out the health impacts caused by river water. The research shows that the sources of pollution in the S. Parman Bridge and Perniagaan Bridge segments come from household and industrial activities. The status of river water quality in the S. Parman Bridge and Perniagaan Bridge segments has light and heavy polluted categories with 4 parameters that do not meet the quality standards, namely, TSS, COD, DO, and Fecal Coli. The health impacts caused by using river water in the S. Parman Bridge segment and Perniagaan are diarrhea, dysentery and skin irritation. The largest percentage of diseases experienced by the people of the river area of the S. Parman Bridge segment is diarrhea by 30%, while in the Perniagaan Bridge segment, skin irritation is 40%. \u0000Keywords: Karang Mumus River; Pollution Index; Water Quality","PeriodicalId":207732,"journal":{"name":"ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132475800","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}

{"title":"A SPATIAL STUDY OF LAND AND FOREST FIRE-PRONE AREAS IN SITUBONDO REGENCY, EAST JAVA PROVINCE","authors":"Haeropan Daniko Putra, M. D. Manessa, Rokhmatulloh Rokhmatulloh, Anisya Feby Efriana, Muhammad Haidar","doi":"10.24843/ejes.2023.v17.i01.p01","DOIUrl":"https://doi.org/10.24843/ejes.2023.v17.i01.p01","url":null,"abstract":"The increasing area of land burned in 2021 makes the government urgent to map areas prone to forest fires in Situbondo Regency. This study analyzes areas prone to forest and land fires using the SMCA method. The research analysis used variables of land cover type, the greenness of vegetation, vegetation humidity, land surface temperature, and human factors. The human elements in question are accessibility (distance from the road network) and distance from human activities (distance from settlements, fields, and plantations). The conclusion analysis of forest fire-prone areas is divided into three classes that are high, medium, and low. From the vulnerability model that has emerged, it was found that most of Situbondo Regency have a high grade of forest fire vulnerability with an area of 652.66 km² (39.08%). The areas with the level of vulnerability of the middle, low, and non-vulnerable classes, respectively, are 532.12 km² (31.87%), 306.46 km² (18.35%), and 178.65 km² (10, 70%). The results of statistical tests using the ordinal logistic regression method show that natural factors for forest and land fires had a higher level of influence (? = 4.824) on forest and land fire vulnerability compared to human factors (? = 1.051). \u0000Keywords:  Forest and Land Fires; GMA method; Natural Factors; Human Factor","PeriodicalId":207732,"journal":{"name":"ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132453253","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}

{"title":"CARBON STOCKS ESTIMATION ON URBAN VEGETATION USING UAV-SfM PHOTOGRAMMETRY METHOD","authors":"Agus Sukma, Takahiro Osawa, Wayan Nuarsa, Abd. Rahman","doi":"10.24843/ejes.2023.v17.i01.p04","DOIUrl":"https://doi.org/10.24843/ejes.2023.v17.i01.p04","url":null,"abstract":"Global warming and biodiversity loss are two critical issues currently debated among scientists and world policy makers. Forest retention and various reforestation and reforestation programs can play an important role in mitigating global climate change through sequestering atmospheric carbon. Forests are still the subject of discussion of the negotiations and exclude the contribution of vegetation outside the forest area. In fact, if trees outside the forest are not cut down, it can also reduce carbon emissions in the atmosphere. The lack of evidence regarding its potential and contribution to carbon stocks means that trees outside the forest have not been able to enter the negotiation. \u0000 Vegetation in urban areas are an example of tree communities outside forest that have a major contribution to carbon sequestration in the atmosphere. Urban vegetation can be found in two main locations: Urban Green Open Spaces (UGS) and Road Landscapes (RL). In Bali, especially in Denpasar City, Glodokan Tiang or Polyalthia longifolia trees are planted as road shading trees or trees in green open spaces. To prove its contribution in terms of carbon sequestration, data management and a mechanism for calculating carbon stocks are needed. Generally, the calculation of tree carbon stock consumes a lot of energy and time because it is done manually (measuring tree height and DBH). Technology of Unmanned Aerial Vehicle (UAV) can be used as an alternative to efficiently calculate the estimated of carbon stock in Urban Vegetation. The calculation uses the DBH value approach using the canopy area and tree height model (CHM) obtained from UAV data processing using the Sfm method. \u0000UAV estimates show that the highest AGB value at Bajra Sandhi Renon Field is 201.59 kg with a stored carbon content of 94.75 kg, while on I Gusti Ngurah Rai Bypass has the highest AGB value of 215.04 kg with a stored carbon content of 101.07 kg. These results have been validated by field observations, where the results of the regression analysis at the location of Bajra Sandhi Renon and I Gusti Ngurah Rai, shows that between field observation data and estimation data with UAV there is no significant difference. While the results of the t-test: Paired Two Sample for Means at the Bajra Sandhi Renon Field and the Bypass I Gusti Ngurah Rai have a value above the significance level which proves that there is no significant difference between the carbon stock value from field observations and the carbon stock from the UAV approach. \u0000  \u0000Keywords: Carbon Stock; Urban Vegetation; UAV-Sfm.","PeriodicalId":207732,"journal":{"name":"ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121123530","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}

{"title":"PEMANFAATAN CITRA SATELIT DAN SISTEM INFORMASI GEOGRAFIS UNTUK PEMETAAN KESESUAIAN AGROKLIMAT TANAMAN JAGUNG DI PROVINSI JAWA TENGAH","authors":"Apritarum Fadianika, I. W. Nuarsa, I. Sardiana","doi":"10.24843/ejes.2023.v17.i01.p02","DOIUrl":"https://doi.org/10.24843/ejes.2023.v17.i01.p02","url":null,"abstract":"Corn is a strategic agricultural commodity in Central Java Province because this plant is the second main food crop commodity after rice. Evaluation of agro-climate suitability aims to assess suitable areas based on climatic conditions and efforts to overcome climate-limiting factors in order to achieve optimal productivity in corn cultivation. Satellite imagery can be used to overcome the lack of density of climate stations, which are the source of data for climate suitability evaluation. This study aims to validate GSMaP satellite rainfall data and Terra MODIS satellite air temperature data against BMKG observation data, create a distribution map of climatic conditions, and create a distribution map of agro-climate suitability classes based on GIS for maize in Central Java Province. This study uses rainfall and temperature data from 30 BMKG observation points and satellite imagery data for 20 years (2001–2020). The correlation values, RMSE, and MBE were calculated to validate satellite rainfall and air temperature data with observed rainfall and air temperature. Satellite data correction calculations are used to fill in the data at points without observation. The validation results show that the satellite data is valid and that there is a pattern of conformity with the observational data. Central Java province has an annual rainfall of 1,500 mm/year to 6,000 mm/year, an average annual temperature of 24.9oC to 28.1oC, and three to nine months of wet months. In some areas, the agro-climate suitability class for maize plants was in the moderately suitable category (S2wa, tc) with an area of 156,302 ha, marginally suitable (S3wa) with an area of 1,277,813 ha, and not suitable (Nwa) with an area of 2,008,673 ha. \u0000Keywords: Corn; GSMaP; Terra MODIS; Climate Suitability; GIS","PeriodicalId":207732,"journal":{"name":"ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129009896","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}

{"title":"STUDI EKOLOGI PENGOLAHAN GARAM TRADISIONAL KABUREA BERBASIS KEARIFAN LOKAL DI DESA TENDAKINDE, FLORES","authors":"Studi Ekologi, Pengolahan Garam, Tradisional Kaburea, Hermina Sena, M. Mahendra, W. Suarna","doi":"10.24843/ejes.2023.v17.i01.p05","DOIUrl":"https://doi.org/10.24843/ejes.2023.v17.i01.p05","url":null,"abstract":"Tendakinde Village is a village located in Nagekeo Regency, and has coastal resources, namely traditional salt production. Knowledge in processing patterns is quite extensive, as to be able to make salt production a regional icon, a strategy is needed that can process natural resources properly. The purpose of this study is to examine traditional Kaburea salt processing techniques based on local wisdom, to determine the impact of climate change on salt production, to understand and develop strategies for the existence of traditional Kaburea salt processing. Data collected through literature, observation, focus group discussion with 15 participants, interviews with 8 informants, and questionnaires. The sample used in the questionnaire is 30 samples. The data obtained is then processed using the IFE matrix, EFE matrix, and SWOT analysis. Traditional salt processing is shown in the process of preparation to production of salt through rules which then become a habit (local wisdom). The basic materials for the facilities used are wood and bamboo, then the raw materials for salt production are sea water which is collected in wells. However, climate change is a bad influence on the quality of salt, therefore it is necessary to work together from the government and Kaburea salt farmers in permanently repairing the embankment. The results of the analysis of the IFE matrix and the EFE matrix show that Kaburea's traditional salt processing is in a grow and build position, meaning that the development of the salt business must be maintained amidst its growth rate. Based on the results of the SWOT analysis, 12 alternative strategies were obtained that the Kaburea salt farmers were expected to be able to implement strategies according to their abilities and circumstances. \u0000Keywords: Ecology; Local Wisdom; Traditional Salt; Strategy","PeriodicalId":207732,"journal":{"name":"ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129533367","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}