cover
Contact Name
Dedik Budianta
Contact Email
dedik.budianta@unsri.ac.id
Phone
+628127859781
Journal Mail Official
contact@josaet.com
Editorial Address
Jl. Bukit Baru II No 44, Palembang 30131, Indonesia
Location
Kota palembang,
Sumatera selatan
INDONESIA
Journal of Smart Agriculture and Environmental Technology
ISSN : -     EISSN : 30218802     DOI : https://doi.org/10.60105/josaet
The Journal of Smart Agriculture and Environmental Technology (JOSAET) is an international, interdisciplinary publication committed to addressing current issues in agriculture and environmental sciences. Our mission is to promote sustainable and safe food production practices for the future without causing environmental harm. JOSAET covers a broad range of topics, including soil, water, and plant management, pest control, and plant cultivation. We aim to anticipate environmental changes and contribute to the development of resilient agricultural practices. Published three times a year, in April, August, and December, JOSAET maintains rigorous standards through a high-quality peer-review process. We welcome manuscripts showcasing interdisciplinary expertise in areas such as: Enhancing crop production efficiency with new technologies to support agricultural sustainability, covering topics like crop management, pest control, environmental impact, input efficiency, new variety development, and socio-economic assessment. Fostering soil and water management strategies, such as the use of organic inputs, anticipation of soil pollution, soil health, and soil fertility inputs for sustainability. Exploring technology applications in various fields including soil science, agronomy, horticulture, plantation, forestry, aquaculture, husbandry farming, bioremediation, and application of machine learning and artificial intelligence in soil science, agriculture, and environment. We also welcome contributions discussing other environmental technologies aimed at improving our environment. JOSAET publishes original papers, short communications, and reviews concerning smart agriculture and environmental technology. We are particularly interested in research that promotes agricultural practices preserving the environment, enhancing crop production and income, mitigating global warming effects, and building food security in the face of climate change. Our vision is to be a leading voice in the discourse on sustainable agriculture and environmental management, facilitating innovation and knowledge exchange for a sustainable and resilient future.
Articles 47 Documents
Contaminant Removal in Soil and Wash Water Residue from Ex-Mining Area in Jambi using Soil Washing Remediation Hadrah, Hadrah; Anggrika Riyanti; Kasman, Monik; Arrasyid, M. Aderiansyah; Istigmah, Nuni
Journal of Smart Agriculture and Environmental Technology Vol. 2 No. 1 (2024): April 2024: Published, 2024-04-02
Publisher : Indonesian Soil Science Society of South Sumatra in Collaboration With Soil Science Department, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2024.2.1.18-22

Abstract

Soil washing is one of the effective methods to remove contaminants in polluted soil by moving them from the solid phase (soil) to the liquid phase (water). This study examines the effect of soil washing on the concentration of Total Petroleum Hydrocarbon (TPH) in petroleum-polluted soil at the Ex-Mining Area in Jambi and the removal of oil and grease in soil washing residue using a fixed bed column. The soil washing method uses a leaching column with various concentrations of Tween 80 surfactant solution of 0.5% (v/v) and 1% (v/v). In addition, leaching was repeated 0, 1, and 2 times. Coffee husk biochar was used as a medium in a fixed bed column to remove oil and grease from soil-washing residue with thickness variations of 10 cm, 20 cm, and 30 cm. The results showed that the soil was loamy sand with an initial TPH content of 3092.75 mg/kg. The soil-washing process reduced the TPH concentration with a removal efficiency of 72.45-90.40%. The highest TPH removal occurred in one leaching repetition at a 0.5% surfactant concentration. The optimum oil and fat removal from the use of a fixed bed column is at 30 cm thickness which is 94.35%.
Smart Agribusiness through Analysis of Balinese Cattle Fattening Using Alternative Feed in Palembang, Indonesia Saad, Giezandi; Sriati; Maryadi
Journal of Smart Agriculture and Environmental Technology Vol. 2 No. 1 (2024): April 2024: Published, 2024-04-02
Publisher : Indonesian Soil Science Society of South Sumatra in Collaboration With Soil Science Department, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2024.2.1.23-29

Abstract

The development of cattle fattening is one of the efforts to fulfill the increasing demand for meat, in line with the growth of the human population. In addition, cattle fattening also provides significant economic opportunities for farmers and business actors in the livestock sector. One important aspect in this regard is feed management, which can have a major effect on the growth and health of livestock. Therefore, this study aimed to (a) analyze the initial weight of cattle, length of fattening time, daily weight gain, and (b) assess the feed cost, selling price, as well as income before and after fattening. A descriptive qualitative method was used to explain the feasibility of cattle fattening business grouped based on four feeding patterns namely (a) grass, (b) grass and tofu pulp, (c) grass, tofu pulp, and sweet potato skin, as well as (d) grass, tofu pulp, sweet potato skin and molasses in Palembang, Indonesia. Furthermore, purposive sampling was used with 100 cattle as the population, divided into four different diet groups. Data analysis was conducted using mean differences to evaluate the impact of the four feed alternatives on the measured variables. The results showed that there were significant differences in income, with molasses generating the highest income per kilogram (kg) of beef. In the feasibility analysis, molasses showed good feasibility with an R/C Ratio of 1.56, implying that cattle fattening business by applying molasses feed alternative could be considered as a viable investment. The results provided practical insights for cattle fatteners, assisting in decision-makingregarding optimal feed patterns to increase income and business viability.
Soil Development and Land Suitability for Cacao on Sandstone and Pumice Breccia in the Semilir Formation in Ponjong District, Gunungkidul Regency, Indonesia Candani, Dewi Madu; M. Nurcholis
Journal of Smart Agriculture and Environmental Technology Vol. 2 No. 2 (2024): August 2024: Published, 2024-08-10
Publisher : Indonesian Soil Science Society of South Sumatra in Collaboration With Soil Science Department, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2024.2.2.50-60

Abstract

The parent material of the Semilir Formation, which consists of breccia pumice and sandstone, was located in the villages of Sawahan and Umbulrejo, Ponjong district, and it influences the genesis and soil types. This study utilized survey and laboratory analysis methods. Two soil profiles were studied: the first profile was located in Sawahan Village with breccia pumice as the parent material, while the second profile was in Umbulrejo Village with sandstone as the parent material. The research results indicated that soils developed from breccia pumice had diagnostic horizons of umbric epipedon and argillic endopedon with an advanced soil development stage. Soils developed from sandstone had diagnostic horizons of umbric epipedon and cambic endopedon with a young soil development stage. This affects the chemical properties of the soil. Soils formed from pumice breccia tend to have base saturation of less than 50% with low exchangeable bases, while soils formed from sandstone have base saturation of >50% with high exchangeable bases. Soils developed from breccia pumice and sandstone have soil classification as Typic Paleudults and Typic Dystrudepts. These soil types are suitable for cocoa plant cultivation; however, they require mechanical conservation through terrace construction and improved drainage by incorporating organic  materials or compost into the soil, which can significantly enhance soil porosity, enabling better water retention and drainage.
Systematic Literature Review (SLR): Explorations flood systems theory and appropriate modeling Arham, Brenda; Muhamad Dimyati
Journal of Smart Agriculture and Environmental Technology Vol. 2 No. 2 (2024): August 2024: Published, 2024-08-10
Publisher : Indonesian Soil Science Society of South Sumatra in Collaboration With Soil Science Department, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2024.2.2.67-80

Abstract

Urban flood risk assessment conducts a comprehensive evaluation of hazard formative factors, hazard formative environment, hazard-affected bodies, and capabilities for disaster prevention and reduction in order to obtain an accurate assessment of flood risk levels. The current study aimed to conduct a systematic review of the existing literature on engagement outcomes, focusing on high-quality studies Each step of the SLR method and their results are explained in detail in the following subsections using SLR performed. Using the SLR method can help answer the objectives of this research in the form of: What type of modeling to overcome flooding This research uses the SLR method which aims to recognize, review, and evaluate Using bibliometric analysis.To achieve the goal of SLR, the variables of interest are organized based on the general characteristics of the article and the specific parameters used general  information about the article includes year of publication, type of analysis (quantitative, qualitative, cartographic or mixed), type and scale of  research, and the country or region where the research was conducted. The model consists of three components, including rainfall runoff, river channels, and flooding The flow in the channel was generated with a 1D diffusion wave model, and the outflow on the slope was generated with a 2D model.This article showed the basic steps that need to be followed to conduct SLR This method generates topic-specific existing knowledge, trends, and observed gaps and helps to draw relevant conclusions for policy makers and the scientific community. and the appropriate modeling is Press RRI refers to 2D grid-based fluid dynamics and is a model that combines a hydrological model and a flood model.
Growth and Yield of Two Mustard Varieties (Brassica Juncea L.) at Various Shading Levels Oktaviani, Oktaviani; Gustiar, Fitra; Marlina; Budianta, Dedik; Ria, Rofiqoh Purnama
Journal of Smart Agriculture and Environmental Technology Vol. 2 No. 2 (2024): August 2024: Published, 2024-08-10
Publisher : Indonesian Soil Science Society of South Sumatra in Collaboration With Soil Science Department, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2024.2.2.43-49

Abstract

Mustard greens are one of the vegetable commodities plants. The part used is the young leaves, which can be processed into traditional medicinal and vegetable ingredients that benefit human health. This research aims to determine the level of shade tolerance on the growth and yield of mustard plants and determine mustard varieties that are tolerant of minimum sunlight conditions. This research was carried out in experimental fields using artificial fields in June – July 2023. This research used a split-plot design with 2 factors. Tafif shade as the main plot consists of no shade 0%, 55%, 70%, and 95%. The sub-plot varieties consist of the Tosakan variety and the Kumala variety. The results of the research indicate that sunlight intensity reduction negatively impacted the growth and yield of mustard plants. However, under 55% shade conditions, there was no significant difference observed in the growth and yield of mustard plants compared to those grown without shade. The Tosakan and Kumala varieties did not show any differences in the growth or yield of mustard plants.
Development of Land Suitability Assessment Applications for Sorghum, Sweet Potato and Sugarcane Rahim, Supli; Muchsiri, Mukhtarudin; Supli, Ahmad Affandi; Damiri, Nurhayati; Supli, Nur Aslamiah; Aminah, Iin Siti; Djazuli, Abid; Rosmiah, Rosmiah
Journal of Smart Agriculture and Environmental Technology Vol. 2 No. 2 (2024): August 2024: Published, 2024-08-10
Publisher : Indonesian Soil Science Society of South Sumatra in Collaboration With Soil Science Department, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2024.2.2.61-66

Abstract

Cultivation of food crops should be done on suitable land based on the results of the soil suitability assessment. The Soil Suitability Assessment Framework was initiated by the Food and Agriculture Organization (FAO). Today, smartphones have become a ubiquitous technology for solving problems in most environments, including: Assessment of soil suitability for food crops, plantations and many others. This white paper aims to address these benefits by transforming the framework into a mobile app. This solution aims to help land users conduct land valuations more effectively and efficiently. A rule-based system (RBS) algorithm is used to build the framework into a set of rules that are interconnected to draw land suitability conclusions. Regulations relate to annual rainfall, land topography, drainage, soil type, pH, flood risk, soil fertility, soil depth, etc. Only three of his food crops, sorghum, sweet potato, and sugarcane, will be evaluated in this study. Agroclimatic data governing crop suitability have evolved into generic and crop-specific criteria. An application that assesses land suitability for three food crops will be available on the Play Store for smartphones. Usability models were surveyed by 35 respondents who used the app. The user-friendliness of the app was evaluated as "very good."
Enhancing Rice Cultivation Efficiency in Tidal Lowland of Delta Saleh, Indonesia: Precision Farming Practices for Water Management and Soil Health Improvement Mardiansa, Edwin; Budianta, Dedik; Sodik Imanudin, Momon
Journal of Smart Agriculture and Environmental Technology Vol. 2 No. 2 (2024): August 2024: Published, 2024-08-10
Publisher : Indonesian Soil Science Society of South Sumatra in Collaboration With Soil Science Department, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2024.2.2.36-42

Abstract

Tidal lowland is a marginal land characterized by low pH, deficient  nutrients, and salinity. Despite these challenges, El Niño phenomenon often occurs during the second planting season, resulting in long droughts. However, tidal lowland must be used for cultivation due to the need for rice and the land should be treated accurately. Therefore, this research aimed to address the issues by improving the efficiency of rice cultivation on tidal lowland through precision farming practices. A survey and land analysis were conducted in tidal lowland of B typology in Delta Saleh, Indonesia, from March 2023 to June 2023. In this precision farming practice, water management was highly prioritized, starting from tertiary channels such as optimizing sluice gate operations and monitoring water levels in channels and groundwater. Additionally, pH, CEC, and C-Organic analysis were also carried out in rice cultivation, as showed by the  equation Y = 0.15 - 0.001 pH + 0.000 CEC + 0.000 C-Organic. The highest production yield was 2.05 tons/ha in P5, with the SEW-10 value during cultivation activities being 778 cm and the number of days above -10 reaching 84. Moreover, the efficiency of rice cultivation was improved through precision agricultural practices by using valve sluices and levees.
Remote Sensing and Sustainable Management of Soil Organic Carbon in the Sahelian Area, Senegal, West Africa Ndiaye, Mare; Macoumba, Loum; Badara, Dieye Alioune
Journal of Smart Agriculture and Environmental Technology Vol. 2 No. 2 (2024): August 2024: Published, 2024-08-10
Publisher : Indonesian Soil Science Society of South Sumatra in Collaboration With Soil Science Department, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2024.2.2.81-86

Abstract

The mapping of soil organic carbon (SOC) variability was carried out in a Sahelian region of Senegal by testing the effectiveness to include the Sentinel 2 remote sensed data in the characterization of the soil  properties. Ordinary kriging (OK) applied under ArcGIS is compared with multiple linear regression (MLR) calibrated under R software. The results showed a slight decrease of the root mean square error ranging from 0.18 with kriging to 0.16 for multiple linear regression. Carbon variability was also detailed at a finer scale with multiple linear regression at the pixel scale from 10 to 20 m. Spectral bands situated in the visible wavelength, NDWI and NDVI were the most discriminating explanatory variables in the spatial modeling of organic carbon by multiple linear regression. Specific locations that require inputs of manure or compost were also geo-localized with multiple linear regression in order to ensure sustainable management of soil organic carbon. The use of remote sensed data also puts into perspective the possibility of spatializing the physical and chemical properties of the soil on larger areas and correcting the lack of information on soil mapping in the Sahelian regions of Africa.
Organic Farming for Healthy Food Production and Land Sustainability for Supporting a Smart Agriculture in Indonesia: English Hardaningsih, Wiwik; Budianta, Dedik; Madjid, Abdul; Aisyah; Syazili, As'ad
Journal of Smart Agriculture and Environmental Technology Vol. 2 No. 3 (2024): December 2024, Published, 2024-12-07
Publisher : Indonesian Soil Science Society of South Sumatra in Collaboration With Soil Science Department, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2024.2.3.107-114

Abstract

Recently, people have suffered from many serious illnesses, such as  kidney, cancer, osteoporosis, etc. One of the triggers is that the food eaten by human is not free from heavy metals. These heavy metals enter through the food chain during the crop cultivation. These heavy metals can come from artificial agrochemical inputs (such as synthesis P fertilizers and pesticides). One way to avoid the entry of heavy metals into plant is by implementing organic farming. Organic farming is an agricultural system that does not use synthetic chemical. The implication of organic farming are (1) maximizing the use local resources, (2) minimizing the use of chemical inputs, (3) ensuring biological functions, (4) maintaining a diversity of plant and animal species, (5) creating an attractive overall landscape that provides satisfaction for local communities, and (6) increasing the intensity of plants and animals in the form of polyculture, agroforestry, crop/animal systems integrated livestock etc. If organic farming principles are followed consistently then the food produced will be healthy and safe for humans and animals and save for land sustainability to support smart farming. Another benefit of organic farming is that natural resources will be sustainable and the environment will be protected from pollution and damage. To convince the Indonesian and global community, the organic products produced must be certified independently, the basis of which is SNI 6729-2016.
Mapping and Analyzing Spatial Variability of Peat Depths by Using Geostatistics Armanto, M Edi; Setiabudidaya, Dedi; Ngudiantoro; Wildayana, Elisa; Zuhdi, Mohd
Journal of Smart Agriculture and Environmental Technology Vol. 2 No. 3 (2024): December 2024, Published, 2024-12-07
Publisher : Indonesian Soil Science Society of South Sumatra in Collaboration With Soil Science Department, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2024.2.3.100-106

Abstract

Determining peat depths can be done by intensive surveys which are expensive, inefficient, and ineffective, therefore, it is essential to find simple alternative methods for measuring peat depths. The research objective was to estimate and make maps of peat depths by applying Geostatistics analysis. This research was conducted on Muaro Jambi District, Jambi (Seponjen Village, Kumpeh) peatlands. The primary data was analyzed by ArcGIS 10.3 and Geostatistics programs. The spatial variability of peat depths on Site A (peat depth of 8.10–15.00 m) and Site B (3.10–8.00 m) showed maximum values at 271 and 242 m distances, respectively. On-Site C (0.00–3.00 m), maximum variability was found at the distance of 63 m. Peat depths variability may be interpolated at a maximum of 271 m (for Site A) and 242 m (for Site B). More than the above distances, peat depths cannot be interpolated. Site A must be conserved because of peat depths of > 3 m, only Site C can be cultivated for agriculture and plantations. Unfortunately, all areas have been cultivated for the oil palm plantation because the government has granted concession permits to plantations before knowing how deep the permissible peatlands are for the whole area.