Abstract:The goal of the Global Eco-village Network (GEN) is to create and promote sustainable human settlements that allow people to live more comfortably. However, an eco-village cannot exist without the support of the local government and the community. A village (kelurahan) is expected to recognize and implement a settlement's environmental management by maintaining environmentally friendly behavior in daily activities. Gayamsari is a kelurahan in Semarang City that has been implementing the eco-village concept. This study aims to explain, through quantitative descriptive analysis, the extent at which the eco-village aspects are achieved by local and institutional participation in Gayamsari. The idea of an eco-village is to bring harmony to the three pillars of sustainable development-the social, economic, and ecological components-to create a sustainable living environment. However, the results show that Gayamsari needs improvement, especially in terms of ensuring a safe and comfortable environment, which can be achieved through strengthening the participation of both the community and local institutions.
Carbon emissions are a significant cause of climate change. As an effort to reduce emissions in the university environment, carbon footprints at Diponegoro University (Undip) need to be calculated to find out how much campus activity contributes to the emissions produced and analyze scenarios that can be applied in minimizing them. The carbon footprint study at Undip was carried out in 3 scopes according to The Greenhouse Gas Protocol. Scope one covers clean water treatment activities. Scope two covers electricity usage activities, while scope three covers transportation, wastewater, and solid waste treatment activities in the campus environment. Carbon footprint emissions from the three scopes are calculated based on methods from the International Panel on Climate Change (IPCC). Emissions calculated are CO2, CH4, and N2O expressed in TonCO2-eq. The carbon footprint resulting from campus activities at Undip is 16, 345.83 TonCO2-eq. The first and second-largest carbon footprint contributors came from electricity and transportation activities with a total carbon footprint of 13, 953.22 TonCO2-eq and 1, 449.99465 TonCO2-eq, respectively. The emission reduction business strategies that can be carried out are through conservation and energy efficiency approaches as well as the use of Campus Buses and increasing the number of green space.
Soil erosion is one of the most serious degradation problems in the world, so in Indonesia. The average level of global soil erosion ranges from 12-15 Ton/ha/yr, or it can be said that there is a surface soil loss of 0.90-0.95 mm of land. While the watershed in Indonesia is 458 in which 60 are critically heavy, 222 critical and 176 potentially critical. An action is needed to reduce erosion rates which is one of the causes of damage to the watershed. Soil erosion modeling is a method used in estimating the amount of soil erosion that occurs in an area. Various models of soil erosion are developed with the aim of producing precise erosion estimates. This study will discuss soil erosion modeling (definition, classification of models and proceed) and a review of erosion assessment models that are widely used in Indonesia (USLE, MUSLE, RUSLE, and SWAT). By knowing each erosion estimation model, hope can be able to choose the right model according to the study to be conducted.
This study focuses on quantifying the carbon footprint generated by non-academic activities at Diponegoro University, Indonesia. The carbon footprint study at Diponegoro University divides into three scopes, which are emissions from sources that are owned or controlled directly by the university, indirect emissions from electricity consumption, and other indirect emissions. Scope one covers clean water treatment, scope two includes electricity usage, while scope three involves wastewater and waste disposal in the campus area as a result of non-academic activities. The calculated emissions include CO2, CH4 and N2O expressed in TonCO2-eq. The carbon footprint resulting from non-academic activities at Undip is 13, 945.55 TonCO2-eq. The most significant carbon footprint contributors comes from electricity activities with a total carbon footprint of 13, 857.798 TonCO2-eq, followed by wastewater and water supply activities.
Keberhasilan pembangunan pertanian menimbulkan dampak negatif terhadap lingkungan terutama sumberdaya lahan. Produksi bawang merah rata-rata menurun setiap tahunnya, dikawatirkan akibat penggunaan bahan agrokimia seperti pestisida yang cenderung berlebihan baik konsentrasi maupun dosisnya, sehingga terjadi akumulasi logam-logam berat seperti Pb pada tanah. Penelitian ini bertujuan mengetahui: (i) pengaruh residu pestisida terutama logam berat Pb pada lahan pertanian bawang merah, (ii) tingkat pencemaran tanah akibat logam berat Pb, (iii) kandungan residu logam berat Pb dalam tanah. Metode penelitian adalah studi kasus pada lahan pertanian tanaman bawang merah dengan mengambil sampel tanah sebelum tanam dan sesudah panen, dan sampel pestisida yang digunakan, kemudian diuji kandungan Pb (mg/kg) baik sampel tanah maupun pestisida dengan metode uji AAS (Atomic Absorption Spectrophotometer). Hasil penelitian menunjukkan bahwa dari 7 (tujuh) macam pestisida yang digunakan para petani mengandung logam berat Pb, dan dalam satu musim tanam dapat menyumbang Pb dalam tanah sebanyak 2991,26 mg/Ha. Ada tambahan logam berat Pb yang merupakan selisih antara sebelum tanam dan sesudah panen sebesar 43,071,60 mg/Ha. Angka koefisien korelasi sebesar 0,989** menunjukkan adanya hubungan yang sangat kuat antara variabel dosis pestisida terhadap tambahan logam berat Pb. Uji regresi linier berganda variabel frekuensi penyemprotan, dosis pestisida, dan variabel kandungan Pb dalam pestisida terbukti berpengaruh sangat signifikan terhadap tambahan logam berat Pb dalam tanah.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.