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Journal of Degraded and Mining Lands Management
Published by Universitas Brawijaya
ISSN : 2339076X     EISSN : 25022458     DOI : -
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology
Journal of Degraded and Mining Lands Management is managed by the International Research Centre for the Management of Degraded and Mining Lands (IRC-MEDMIND), research collaboration between Brawijaya University, Mataram University, Massey University, and Institute of Geochemistry, Chinese Academy of Sciences-China Papers dealing with result of original research, and critical reviews on aspects directed to the management of degraded and mining lands covering topography of a landscape, soil and water quality, biogeochemistry, ecosystem structure and function, and environmental, economic, social and health impacts are welcome with no page charge
Arjuna Subject : -
Articles 24 Documents
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Search results for , issue "Vol. 11 No. 1 (2023)" : 24 Documents clear
The use of basalt scoria as a geopolymer cement to increase soil bearing capacity Saparudin Saparudin; Sofia W Alisjahbana; Rajiman Rajiman; Ilyas Sadad; Muhammad Amin; Yusup Hendronursito
Journal of Degraded and Mining Lands Management Vol. 11 No. 1 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.111.5085

Abstract

One method that can be used to improve soil properties is the addition of geopolymer cement to the soil to become more stable. This study aimed to determine the effect of geopolymer cement on soil stability. The raw materials for geopolymer cement include clay and basalt rock, with variations in the composition of 0%, 20%, 30%, 40%, and 50%. The levels of temperature variance used were 40 oC, 60 oC, and 80 oC, with variations in 4 and 6 hours. Characterization includes X-ray fluorescence (XRF), X-ray diffraction (XRD), and scanning electron microscope (SEM) tests of raw materials and products. The highest compressive strength was obtained on a mixture of 40% basalt, 200 mesh, and a heating temperature of 80 °C for 6 hours, 56.32 MPa. The California Bearing Ratio (CBR) test showed a significant increase in the heat treatment geopolymer products. The CBR value on y1 during the 10x collision was 16.67%; in the 30x crash, it increased to 63.33%, while in the 65x collision, it increased to 78.33%. Whereas in the Y2 measurement, at 10x collisions, it was 21.11%; at 30x collisions, the CBR value increased to 82.22%; and at 65x collisions, the CBR value increased to 100.00%.
Mapping eruption affected area using Sentinel-2A imagery and machine learning techniques Ni Made Trigunasih; I Wayan Narka; Moh Saifulloh
Journal of Degraded and Mining Lands Management Vol. 11 No. 1 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.111.5073

Abstract

Volcanic eruptions are natural disasters with significant environmental and societal impacts. Timely detection and monitoring of volcanic eruptions are crucial for effective hazard assessment, mitigation strategies, and emergency response planning. Remote sensing technology has emerged as a valuable tool for detecting and assessing the effects of volcanic eruptions. One of the challenges in remote sensing image processing is handling large data dimensions that are difficult to address using traditional methods. Machine learning approaches offer a suitable solution to tackle these challenges. Machine learning demonstrates increasing computational capabilities, the ability to handle big data and automation. This study aimed to compare different machine learning classification algorithms, including Random Forest (RF), Support Vector Machine (SVM), Gaussian Mixture Model (GMM), and K-Nearest Neighbors (KNN). The data utilized in this study was derived from Sentinel-2A Multi-Spectral Instrument (MSI) imagery, which was tested in areas affected by the eruption of Mount Agung, Bali Province, in 2017. The results indicated that the GMM algorithm performed the best among the machine learning classifiers, achieving an Overall Accuracy (OA) value of 82.04%. It was followed by RF (78.86%) and KNN (77.55%). The areas affected by volcanic eruptions were determined by overlaying disaster-prone regions with areas mapped using the machine learning approach. The total affected area was measured as 29.89 km2, with an additional 3.31 km2 outside the designated zone. The findings of this study serve as a guideline for governmental entities, stakeholders, and communities to implement effective mitigation efforts for disaster risk reduction.
Sustainable alternative livelihood for sand miners in Malang Regency, East Java, Indonesia: application of the PROMETHEE method S Suhartini; Hendro Prasetyo; Wisynu Ari Gutama; Muhammad Fajar Maulana; Baroroh Nur Jihad; Daffa Sandi Lasitya; Ahmad Khusni
Journal of Degraded and Mining Lands Management Vol. 11 No. 1 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.111.5047

Abstract

Sand mining activities on agricultural land and rivers in Bambang Village, Wajak District, Malang Regency, have been ongoing for a long time. The sand mining activities on private agricultural lands, besides being illegal, also damage the land and the environment. In addition, these sand mining activities are also unsustainable. This study aimed to analyze and formulate sustainable alternative livelihoods of sand miners on agricultural lands in Bambang Village, Wajak District, Malang Regency, based on local resources. The study method was carried out using a combination of case studies and survey methods, accompanied by in-depth interviews and field observation. The in-depth interviews were conducted by interviewing 60 respondents for key informants from miners, farmers, many stakeholders, and experts that were selected purposively. The data obtained were analyzed using a multi-criteria analysis (MCA), namely PROMETHEE (Preference Ranking Organization Methods for Enrichment Evaluation) program to formulate sustainable alternative livelihoods. The results showed that the best alternative sustainable livelihood at this location is agriculture. The second best alternative sustainable livelihood is ecotourism, the third is animal husbandry, and the fourth is informal sectors based on local resources. The government should support the development of agriculture, ecotourism, animal husbandry, and the informal sectors in the village.
Reallocation of the use of chemical fertilizers and pesticides to increase the income of vegetable farmers and prevent land degradation Agnes Quartina Pudjiastuti; David Kaluge; Widowati Widowati
Journal of Degraded and Mining Lands Management Vol. 11 No. 1 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.111.5095

Abstract

The study, which aimed to analyze the use of chemical fertilizers and pesticides using the Cobb-Douglas production function approach and their reallocation to increase the income of vegetable farmers and prevent land degradation, was conducted in Sumberejo Village, Batu City, Indonesia. Data were collected from 138 pakcoy (Brassica rapa), celery (Apium graveolens), and red chili (Capsicum annuum) farmers through interviews using a questionnaire. The relationship between input and output was analyzed by regression with the Cobb-Douglas production function. Data validity, reliability, and classical assumption tests were performed to ensure the goodness of fit regression model. Furthermore, the F test and t-test were applied to analyze production response to chemical fertilizers and pesticides. This study revealed that the modeled regression equation is appropriate, where R2 = 0.827-0.933. Vegetable production gives a different response to the use of chemical fertilizers (TSP, Urea, and NPK) and pesticides. Increasing this chemical in pakcoy and celery farming is possible, but it needs to be considered because it has no significant effect on increasing production. The productivity of these two types of plants is relatively high. Farmers need to compare the costs of adding these inputs to additional income and the possibility of land degradation. Chemical fertilizers and pesticides have been excessive in red chili farming, so productivity is very low. There are indications that the land has been degraded, but to be sure, a study is needed on the chemical content of the vegetable fields in Sumberejo Village and the optimal use of chemical fertilizers and pesticides.

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