cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Dolly Priatna
Contact Email
Injast@unpak.ac.id
Phone
+62-251-8320123
Journal Mail Official
Injast@unpak.ac.id
Editorial Address
Jl. Pakuan, RT.02/RW.06, Tegallega, Kecamatan Bogor Tengah, Kota Bogor, Jawa Barat 16129
Location
Kota bogor,
Jawa barat
INDONESIA
Indonesian Journal of Applied Environmental Studies
Published by Universitas Pakuan
ISSN : 27220133     EISSN : 27220141     DOI : http://dx.doi.org/10.33751/injast
Core Subject : Social,
Environmental Science
It publishes original research articles related to all aspects of main, basic, and applied environmental sciences
Arjuna Subject : Ilmu Lingkungan (semua ketegori) - Ilmu Lingkungan (Lain-Lain)
Articles 136 Documents
 10   11   12   13   14 
Carbon dioxide (CO2 ) emissions and mitigation efforts based on Bogor City's green open space Wardhani, Annisa Choerinita Kusuma; Retnowati, Rita; Istiadi, Yossa
Indonesian Journal of Applied Environmental Studies Vol 5, No 2 (2024): Volume 5 Number 2 October 2024
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/injast.v5i2.8513

Abstract

One of the risks associated with climate change is carbon dioxide (CO2) emission, which can negatively affect human health and the ecosystem. The CO2 emission can lead to a decline in urban area quality that surpasses the environment's carrying capacity. This research aimed to investigate the relationship between CO2 Emissions from Transportation (X1), Household (X2), and Business Sector (X3) with the CO2 reduction of green open space (Y). The hypothesis is that there is a negative correlation between CO2 emissions from transportation, households, and businesses and CO2 reduction from green open spaces. A quantitative research design was adopted using the Slovin formula and cluster random sampling. The Normality and Homogeneity Tests are used to analyze research data. The study yielded the following results: first, the coefficient of determination (r2) = 0.003 indicates a relationship between CO2 emissions from transportation with CO2 reduction from green open space, with a 0.3% contribution. The second finding is that there is a 0.1% contribution from CO2 reduction from green open space to the CO2 emissions of households, as indicated by the coefficient of determination (r2) = 0.001. Third, a correlation of 0.1% between CO2 reduction from green open space and CO2 emissions from the Business Sector is indicated by the coefficient of determination (r2) = 0.001. Thus, using the regression equation Y = 2320.432 – 0.16X1 – 0,25 X2 – 0,007 X3, there is an overall significant relationship between CO2 emissions from transportation, CO2 emissions from households, and CO2 emissions from the business sector with the reduction of CO2 from green open space. Salah satu risiko yang terkait dengan perubahan iklim adalah emisi karbon dioksida (CO2), yang dapat berdampak negatif terhadap kesehatan manusia dan ekosistem. Hal ini dapat mengakibatkan penurunan kualitas kawasan perkotaan hingga melampaui daya dukung lingkungan. Penelitian ini bertujuan untuk mengetahui hubungan Emisi CO2 dari Transportasi (X1), Rumah Tangga (X2), dan Dunia Usaha (X3) dengan penurunan CO2 pada Ruang Terbuka Hijau (Y). Hipotesisnya adalah terdapat korelasi negatif antara emisi CO2 dari transportasi, rumah tangga, dan dunia usaha dengan penurunan CO2 dari ruang terbuka hijau. Dengan menggunakan rumus Slovin dan cluster random sampling, desain penelitian yang digunakan adalah kuantitatif. Uji Normalitas dan Homogenitas digunakan untuk menganalisis data penelitian. Penelitian ini menghasilkan hasil sebagai berikut: pertama, koefisien determinasi (r2) = 0,003 menunjukkan adanya hubungan antara emisi CO2 dari transportasi dengan penurunan CO2 dari ruang terbuka hijau, dengan kontribusi sebesar 0,3%. Temuan kedua, terdapat kontribusi penurunan CO2 dari ruang terbuka hijau terhadap emisi CO2 rumah tangga sebesar 0,1% yang ditunjukkan dengan koefisien determinasi (r2) = 0,001. Ketiga, korelasi sebesar 0,1% antara penurunan CO2 dari RTH dengan emisi CO2 dari Dunia Usaha ditunjukkan dengan koefisien determinasi (r2) = 0,001. Dengan demikian, dengan menggunakan persamaan regresi Y = 2320.432 – 0.16X1 – 0,25 X2 – 0,007 X3, secara keseluruhan terdapat hubungan yang signifikan antara emisi CO2 dari transportasi, emisi CO2 dari rumah tangga, dan emisi CO2 dari dunia usaha dengan penurunan emisi CO2 dari ruang terbuka hijau.
Utilization of Digital Terrain Model (DTM) from LiDAR data for flood inundation simulation due to Ciujung River overflow in Banten Province Firmansyah, Yudi; Mahfudz, Mohamad; Nurtyawan, Rian
Indonesian Journal of Applied Environmental Studies Vol 5, No 2 (2024): Volume 5 Number 2 October 2024
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/injast.v5i2.10721

Abstract

Flood phenomena are natural disasters that are still difficult to predict due to climate change. Climate change has caused rainfall to become extreme, leading to floods as the water discharge exceeds river capacity. The Ciujung River is one of the major rivers in Banten Province. In 2012, the Ciujung River overflowed, cutting off access to the Tangerang-Merak Toll Road. This study utilizes a Digital Terrain Model (DTM) derived from LiDAR data and HEC-RAS software to simulate flood inundation due to the overflow of the Ciujung River in Banten. LiDAR data provides a high-resolution DTM, offering detailed and accurate topographic information. Using HEC-RAS, a hydraulic model was created to simulate water flow and potential flood inundation along the river. The simulation method refers to the Saint-Venant equations with an iterative procedure known as the standard step method. The simulation results show reliable flood depth and inundation spread as a reference for flood disaster mitigation planning. The final result of this study is a flood inundation map that provides a clear picture of flood risk levels along the Ciujung River, which can be used by local governments and other stakeholders for decision-making. From 12 flood inundation sample points, 60% were validated based on respondents' feedback. The area affected by flood hazards along the Ciujung River increased with rising water discharge, with the largest area being 109.06 hectares when the discharge reached 3000 m³/s.Fenomena banjir merupakan bencana alam yang masih sulit diprediksi akibat perubahan iklim. Perubahan iklim menyebabkan curah hujan menjadi ekstrem sehingga menyebabkan banjir karena debit air melebihi kapasitas sungai. Sungai Ciujung merupakan salah satu sungai besar yang ada di Provinsi Banten. Pada tahun 2012, Sungai Ciujung meluap sehingga memutus akses Tol Tangerang-Merak. Penelitian ini memanfaatkan Digital Terrain Model (DTM) yang berasal dari data LiDAR dan software HEC-RAS untuk melakukan simulasi genangan banjir akibat meluapnya Sungai Ciujung di Banten. Data LiDAR menyediakan DTM resolusi tinggi, menawarkan informasi topografi yang detail dan akurat. Dengan menggunakan HEC-RAS, model hidrolik dibuat untuk mensimulasikan aliran air dan potensi genangan banjir di sepanjang sungai. Metode simulasi mengacu pada persamaan Saint-Venant dengan prosedur iteratif yang dikenal dengan metode langkah standar. Hasil simulasi menunjukkan kedalaman banjir dan sebaran genangan yang dapat diandalkan sebagai acuan perencanaan mitigasi bencana banjir. Hasil akhir dari penelitian ini adalah peta genangan banjir yang memberikan gambaran jelas tingkat risiko banjir di sepanjang Sungai Ciujung, yang dapat digunakan oleh pemerintah daerah dan pemangku kepentingan lainnya dalam pengambilan keputusan. Dari 12 titik sampel genangan banjir, 60% tervalidasi berdasarkan masukan responden. Luas wilayah yang terkena bahaya banjir di sepanjang Sungai Ciujung bertambah seiring dengan meningkatnya debit air, dengan luas terluas 109,06 hektar dengan debit mencapai 3000 m³/s.
Factor analysis of waste management in Serang Regency, Indonesia Harsanto, Cahyo; Kadar, Isman; Istiadi, Yossa
Indonesian Journal of Applied Environmental Studies Vol 5, No 2 (2024): Volume 5 Number 2 October 2024
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/injast.v5i2.9829

Abstract

Serang Regency, with an area of 1,467.35 km2 in 2020 had a population of 1,622,630 people. By referring to SNI 19-3983-1995, the waste capacity produced on average is 2.25 liters per person per day, so the potential waste in Serang Regency in 2020 is around 1,212,903.7 m3 /year, while the amount of waste that can be transported to the final waste processing site (or TPA) is 98,339 m3 . Based on this data, waste services in Serang Regency have only reached 7.37%, far from the target of the Serang District Regional Policy and Strategy (Jakstrada) of 74% as stated in the Serang Regency Regulation No. 6 of 2021. On the other hand, there are still many roadside piles of waste in Serang Regency, which indicates that there is still a lack of community participation in waste management. Waste management involves several factors, including institutions or organizations, laws, regulations, management financing, technical and operational waste, as well as community attention and participation. Looking at the phenomenon, analysis of waste management factors in Serang Regency was carried out so that the dominant factors in improving waste management performance could be identified for further planning of strategies to optimize waste management, both through waste handling and waste reduction. Based on the analysis carried out using SPSS, it can be stated that factors of operational technical, organizational, legal, and regulatory, as well as factors of financing and community participation are suitable to be used as a policy combination to improve waste management performance in Serang Regency.
Indonesian green tides: the problem is also the solution Maggs, Christine A.; Harries, David; Priatna, Dolly
Indonesian Journal of Applied Environmental Studies Vol 5, No 2 (2024): Volume 5 Number 2 October 2024
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/injast.v5i2.10906

Abstract

Green tides are unattached blooms of green macroalgae (seaweeds) that occur globally and can attain vast proportions. The main components of the blooms are species of the sea lettuce genus Ulva, a sheet-like green seaweed, which can form unusual morphs under these conditions. In estuaries and shallow coastal embayments drifting or cast-up macroalgae can reach quantities of up to 27 kg wet weight m-2. Green tides have been researched extensively since Fletcher's (1996) review highlighted their importance, but they came to wide public attention at the time of the 2008 Qingdao Summer Olympics when the Yellow Sea blooms endangered the sailing events. In May–July 2008, prior to the Olympics, the Yellow Sea coastline experienced the world’s largest green tide with 1 million tonnes of drifting biomass covering 13,000–30,000 km2. Enormous quantities were washed into shallow water and onto the beaches.  News reports from the time show volunteers working to remove the biomass and save the events.  Green tides have increased in frequency and extent globally over the last few decades, with the most significant blooms continuing to be those in the Yellow Sea.
The role of university students in protecting the environment Hassan, Najmaldin Ezaldin
Indonesian Journal of Applied Environmental Studies Vol 5, No 2 (2024): Volume 5 Number 2 October 2024
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/injast.v5i2.10872

Abstract

The global environmental crisis, characterized by challenges such as climate change, deforestation, pollution, and biodiversity loss, requires urgent action. As an educated and socially aware demographic, university students are uniquely positioned to contribute significantly to environmental protection and sustainability. This paper explores the multifaceted role of university students in addressing environmental issues through education, advocacy, research, and sustainable campus initiatives. It highlights how student-led movements, such as Fridays for Future, have propelled environmental awareness into public discourse and influenced institutional and policy changes. Students' involvement in research and innovation, particularly in renewable energy, sustainable agriculture, and waste management, has led to groundbreaking solutions to mitigate environmental degradation. On university campuses, students drive sustainability through initiatives to reduce waste, conserve energy, and promote biodiversity. Their advocacy extends beyond campuses to regional, national, and international platforms, where they actively shape environmental policies and push for ambitious climate action. Despite challenges such as limited funding and institutional resistance, university students continue to overcome barriers by leveraging academic resources and collaborating with external organizations. Ultimately, university students play a pivotal role in fostering long-term environmental stewardship and promoting sustainable development at both local and global levels.
GIS-based analysis of water quality risk factors and CKDu prevalence in Northern Yobe State, Nigeria Babagana-Kyari, Modibbo; Yaro, Nura Ahaji; Yakasai, Kabiru M.
Indonesian Journal of Applied Environmental Studies Vol 5, No 2 (2024): Volume 5 Number 2 October 2024
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/injast.v5i2.10690

Abstract

Chronic Kidney Disease (CKDu) presents a major public health challenge in Northern Yobe State, Nigeria, particularly in the Bade community, where water quality is overly suspected to influence its prevalence. This study employs a Geographic Information Systems (GIS)-based framework to analyze the spatial distribution of CKD in relation to water quality parameters. Advanced spatial analysis techniques, including hexagonal tessellation and Moran's I for spatial autocorrelation, were utilized alongside community-based surveys conducted using Kobotoolbox and Qfield applications to map CKD hotspots. The Moran's I Index of 0.1046, with a z-score of 4.9546 and a p-value of 0.000001, indicates significant clustering of CKD cases rather than random distribution across the study area. Water samples from 30 water facilities, with 10 from each classified hotspot, were analyzed for nephrotoxic heavy metals, ionic concentrations, and hardness using an Atomic Absorption Spectrometer (Model 210V-GP). The spatial distribution of these parameters was modeled using Inverse Distance Weighting (IDW) interpolation in ArcGIS Pro 3.4. Descriptive statistics, hazard index calculations, and Water Quality Index (WQI) assessments were conducted, with box plots facilitating comparative analysis across High, Medium, and Low disease areas. ANOVA and Tukey's HSD post-hoc tests were performed to compare specific water parameters between the disease hotspots and water facilities. The results revealed elevated concentrations of nephrotoxic heavy metals in high-disease hotspots, with maximum values observed for Arsenic (0.21 mg/L), Cadmium (0.30 mg/L), Lead (0.23 mg/L), Chromium (0.50 mg/L), and Fluoride (55 mg/L). Additionally, Nitrite and Nitrate levels exhibited high Hazard Quotients, all surpassing WHO guidelines for safe drinking water. These findings underscore the potential health risks posed by these contaminants in affected areas. Results demonstrate a significant link between the prolonged use of handpumps water and high prevalence of chronic kidney disease incidence (CKD) among affected households. Additionally, the study identified strong spatial correlations between CKD incidence and high concentrations of nephrotoxic heavy metals in water from handpumps, providing critical insights for targeted public health interventions and guiding future research efforts.

Page 14 of 14 | Total Record : 136

 10   11   12   13   14 

Filter by Year

2020 2024


Reset
Filter By Issues
All Issue Vol 5, No 2 (2024): Volume 5 Number 2 October 2024 Vol 5, No 1 (2024): Volume 5 Number 1 April 2024 Vol 4, No 2 (2023): Volume 4 Number 2 October 2023 Vol 4, No 1 (2023): Volume 4 Number 1 April 2023 Vol 3, No 2 (2022): Volume 3 Number 2 October 2022 Vol 3, No 1 (2022): Volume 3 Number 1 April 2022 Vol 2, No 2 (2021): Volume 2 Number 2 October 2021 Vol 2, No 1 (2021): Volume 2 Number 1 April 2021 Vol 1, No 2 (2020): Volume 1 Number 2 October 2020 Vol 1, No 1 (2020): Volume 1 Number 1 April 2020