bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Carbon Monoxide Relation with NDVI and Land Cover in Spatio-Temporal Perspective
Authors: Benedict  
Published: January 2023

Abstract
Java is the most populous island in the world. Data from BPS states that its population growth will reach 167,325,600 people by 2035. The population is directly proportional to the number of motorized vehicles, land use, and reduced vegetation cover. Hence, carbon monoxide increases as time goes by. Awareness about carbon monoxide is needed because CO is dangerous for human health. From several studies that have been carried out, several types of vegetation can reduce CO (carbon monoxide) pollutant levels to the maximum. Several studies conduct studies and analyses on plant estimates for CO pollutant absorption. Most of them analyzed the vegetation and carbon monoxide in a bio-chemical framework. This study was conducted to determine the relationship between CO and vegetation represented by NDVI from a spatio-temporal perspective. The study used CO data from Sentinel-5P for three years, NDVI, and land cover data from MODIS. From this research, NDVI and Carbon monoxide have an opposite relationship due to the correlation between both variables being -0.603. This result means NDVI and carbon monoxide have a strong negative correlation: the more vegetations exist, the less carbon monoxide content in the air.
Analysis of Land Cover Classification Results Using ANN, SVM, and RF Methods with R Programming Language (Case Research: Surabaya, Indonesia)
Authors: Putri Klarissa Ardilia 
Published: January 2023

Abstract
Remote sensing technology has experienced rapid development, especially in the field of image classification method. Image classification is to detect and identify objects on the earth’s surface using satellite images. Currently, various satellite image classification methods have been developed, one of which is a parameter-based classification method, such as MLC (Maximum Likelihood). However, this method cannot be performed in environments with complex object features (such as in urban areas or densely built areas). This is because the classification method based on the required parameters of the dataset is not normally distributed. Therefore, a non-parametric-based classification method has been developed that is independent of the nature of the data distribution, so that no statistical parameters are needed to separate many classes in the image and are used to analyse satellite images with dense and complex land cover features. Through this research, a comparative analysis of land cover classification was carried out using a non-parametric-based classification method with several Machine Learning approaches such as Artificial Neural Network, Support Vector Machine, and Random Forest for the Surabaya City area using Landsat-8 satellite imagery data, to find and compare their classification performance. Surabay awas chosen as the research area because it has complex land cover characteristics and is quite dense. The composition of the training points used is 80:20, which 80% points as sample points, and 20% as validation points. The land cover classification results in this study were tested for accuracy quantitatively and qualitatively. Based on the result from the accuracy test, the Random Forest method showed the best results with an overall accuracy value of 93.33% and a kappa accuracy of 91.07%.
Utilization of land use balance to determine sustainable food agricultural land (LP2B) based on land parcels (Case study: Margorejo District, Pati Regency)
Authors: Khrisnamurti Z B , Budisusanto Y , Deviantari U W 
Published: January 2023

Abstract
Based on the publication of the Detailed Spatial Planning (RDTR), it is necessary to prepare land use balance to overcome land-use problems, such as the land-use allocation that isn’t suitable with its planning. The existence of the Lorong Indah residential area in the middle of agricultural land of Margorejo Village is considered to have violated the Pati Regency Regional Regulation (Perda) Number 2 of 2021 which claims this area as a Sustainable Food Agriculture Area (KP2B). Land use balance data has an important role in the preparation of LP2B. This study aims to provide recommendations for potential LP2B based on land use balance information. Land use balance analysis used is the analysis of land-use suitability for KP2B and analysis of land availability for LP2B. The method used in the land use analysis is an overlay method between the land use balance data. The study result shows that the level of land-use suitability to KP2B is 96.25%. The land availability class is dominated by land that isn’t available for LP2B with an area of 718.37 ha out of 8,410 land parcels. The result of the LP2B recommendations is dominated by the non-recommended class with an area of 743.28 ha out of 9,173 land parcels due to the large number of land parcels that aren’t included in KP2B plan area. Efforts to control the conversion of agricultural land must continue to be improved, because this condition has great potential to cause rapid growth, so agricultural land conversion is also increasingly massive.
An Estimation of Underwater Sound Velocity using 3D Hydrodinamics Modelling in Madura Strait
Authors: Robbani Hilma Wasilah , Pratomo Danar Guruh 
Published: January 2023

Abstract
Madura Strait is one of the busy straits in Indonesia due to the existence of two international ports, Tanjung Perak and Teluk Lamong ports. In order to maintain safety of navigation in this region, bathymetric surveys has to be conducted regularly. The purpose of those survey is to maintain the depth of the shipping lanes and port pools. For that purpose, depth data from the acquisition process has to be corrected properly to obtain the deliverable depth in the nautical chart. One of the corrections that has to be applied is sound velocity correction. To do that correction, the speed of the acoustic wave propagation through the water column has to be collected using Sound Velocity Profiler. This study aims to model the underwater sound speed propagation which can be utilized to correct the measure depth. The study employed the Delft-3D FLOW module to develop a hydrodynamic model in baroclinic mode so the model can produces salinity, temperature, and pressure which vary spatially and temporally. By using these parameters, a near continuous sound velocity model in water column can be estimated using the empirical formula from Chen and Millero (1977). The sound speed value is validated using the Sound Velocity Profiler measurement. The validation was performed at 4 points, and shows a small difference between sound velocity from the model and measurement using RMSE calculation and estimated depth simulation. The RMSE has value between 0.003ms−1 and 0.064ms−1. Based on the estimated depth simulation, the difference between the corrected depth is 0.0005 to 0.001m. This can be claimed as an evidence that the sound velocity model from the study can be applied to get the corrected depth in Madura Strait.
The Evaluation of Land Cover Change of The Watershed Area Using ASTER Image
Authors: Hariyanto T. , Pribadi C. B. , Kurniawan A. , Hapsari H. H , Andriany N. 
Published: January 2023

Abstract
ASTER image is already widely used by various parties in various part of the world for the phenomena observation of the environmental changes. The image processing is supervised classification of maximum likelihood technique to produce land cover into 8 main classes. This study evaluate the changes in land cover in the Lesti’s sub-watershed where is a sub-watershed priority in the Brantas river’s watershed. The result of this study is the land cover change in the upstream area which approximately 1,314 km2 (4.65%) of forest area is converted to another type of land use and its dominated by dry-farm agricultural sector which is in particular farm and field. This is due to the large area of land cover for dry-land farming in 1999 which is approximately 78.198 km2 (31,77%) for the field and 61.844 km2 (25,13 %) for the farm while in 2009 is approximately 97.219 km2 (39,50%) for the fields and 49.421 km2 (20,08%) for the farm from the total land area. The dry-land farming is one of the most factor causing erotion and landslide.
Indonesian Regional Water Utility Company Optimum Pipe Route Planning Using Analytical Hierarchy Process and Cost Path Analysis (Case Study: Zone 1 to Zone 3 PDAM Service)
Authors: Luberta Sendi Khoirul Irham 
Published: January 2023

Abstract
Zone 3 Indonesian Regional Water Utility Company (PDAM) Surya Sembada Surabaya which including Semampir District, Kenjeran District, Simokerto District, and surroundings has lowest water pressure and water discharge compared to the other zones. This problem makes some areas in zone 3 lack of water. To minimize this problem, the company makes a plan to provide more water in zone 3 by installing a new distribution pipe. This paper purposes to make the most optimum pipe route using Analytical Hierarchy Process Method and Cost Path Analysis based on some criterion, which are slope, aspect, land-use, road network, river network, flood-prone area and soil types. Analytical Hierarchy Process (AHP) is used to get the weight of criterion and sub-criterion based on expert opinions. While cost path analysis is processed to load the most optimum pipe route based on the weight of all criterion. Based on AHP processing, the most important criterion is road network which has 44% influence. It is followed by land-use which has 22% influence. The other criterion have 4% - 10% influence in determining the most optimum pipe route. The processing of cost path analysis uses some end-points to get some pipe route options. The result shows some parts of pipe routes intersect with the settlement and do not parallel with road network. Because of those reasons, the pipe routes require to be modified.
Adaptation capacity of corn farmer’s to climate change: a case study in Pringsewu District, Lampung Province
Authors: Mutolib A , Nuraini C 
Published: January 2023

Abstract
Climate change has become a global phenomenon and impacts the sustainability of farming. Farmers are required to have the knowledge and capacity to deal with climate change. This study aims to analyze the level of adaptation capacity of farmers to climate change and the factors that affect the level of adaptation capacity of farmers to climate change. The research was conducted on corn farming in Pringsewu Regency, Lampung, from April to May 2022. The respondents were 30 farmers, and the data were analyzed using a qualitative approach. The results showed that farmers’ knowledge level in the research location on climate change is still low. Only 40% of farmers know about predicting climate change, and 46.67% are aware of accessible sources related to climate change. Farmers’ knowledge of other aspects of climate change (Forms of climate change, adaptation, and impact of climate change) was 53.33%, 63.33%, and 66.67%, respectively. Of the eight adaptation indicators, two are classified as high: the use of improved varieties and adjustment of planting time. Two indicators are categorized as medium, namely soil cultivation, and organic fertilizers, and four indicators are classified in the low category.
Increasing yield of paddy rice on peat soil using steel slag
Authors: Suwarno  
Published: January 2023

Abstract
Peat soil is one marginal soil having the potential for paddy rice cultivation. Peat soil has a low content of total Si and available copper and zinc. Steel slag is the typical source of Si elements. Two experiments were carried out to determine steel slag supplementation effects on the growth and development of paddy rice on peat soil. Experiment 1 was a greenhouse pot experiment to evaluate three steel slag dosages (i.e., 0.0, 2.5, and 5.0 %). Experiment 2 was a field experiment to validate the effects of five steel slag dosages (i.e., 0, 2.5, 5.0, 7.5, and 10-tons ha−1). In experiment 1, applying steel slag at 2.5 and 5.0 % dosages significantly increased paddy rice development. In experiment 2, paddy rice development was significantly increased with steel slag. Grain yield increased from 65 to 96 % with steel slag 2.5 to 10 tons ha−1. The response of paddy rice on peat soil to steel slag in experiments 1 and 2 was associated with increasing soil pH and availability of Si, Mg, and Ca.
Essence, principle, and technique in utilization and converting vinasse waste to bio-organic fertilizer
Authors: Rachman L M , Hartono A , Hazra F , Noorwicaksono T , Wasono K B , Adityasari A D , Prabowo B , Putri N , Davik  
Published: January 2023

Abstract
The increased need for energy resources that reduce the emission of greenhouse gases triggers ethanol demand has increased. Production of ethanol from biomass produces by-product waste (vinasse). Vinasse waste management could be a great opportunity. It is about 6 trillion liters of these materials will need to be managed in 2023 since each liter of bioethanol produced around 9-14 liters of vinasse. Converting vinasse to bio-organic fertilizer needs proper waste management. This study aims to describe the essence, fundamentals, importance, benefits, and challenges together with the principles, stages, and techniques required to convert vinasse waste into bio-organic fertilizer. The fundamental of converting vinasse waste into bio-organic fertilizer includes 1) taming the toxic elements and other contaminants and 2) enriching and elevating its organic and nutrient contents to fulfill its function as an excellent fertilizer. The data from the laboratory analysis result showed that vinasse waste contains: 1) heavy metals As, Hg, Pb, Cr, and Ni that are still lower than the permissible threshold index, 2) high organic and N-organic ingredients, 3) high main macronutrients (N-P-K), 4) low level of main micronutrients of Fe, Cu, Zn and Mo and a moderate level of Mn and B. The proposed ultimate steps required to covert vinasse waste to bio-organic fertilizer are: 1) physical detoxication/decontamination by soaking in zeolite rock fraction, 2) preparation of techniques and formulas to tame the toxic and contaminants and enhancing macronutrients and micronutrients, 3) testing the effect of the produced bio-organic fertilizer on soil and plants on a greenhouse scale, 4) testing the effect of the produced bio-organic fertilizers on soil and plants on a field scale, 5) evaluating and improving the bio-organic fertilizer formulas.
Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae): Attacks and their natural enemies on corn plantations in Munte Village, Munte Sub-district, Karo District, North Sumatera.
Authors: Tarigan S , Maryana N , Mubin N 
Published: January 2023

Abstract

Spodoptera frugiperda (Lepidoptera: Noctuidae) is a relatively new pest in Indonesia and an important pest of corn. Corn cultivation is dominant in Munte Village, Karo District, North Sumatera. This study aimed to estimate the damage caused by S. frugiperda, and observe its natural enemies in Munte Village. Damage observations were four times over two weeks on 100 sample plants. Eggs and larvae of S. frugiperda were collected from the cultivation and reared in the laboratory until the parasitoids emerged. Insects that can act as predators and entomopathogens that attack S. frugiperda were also observed. The intensity of damage due to S. frugiperda in each observation was more than 30%. Parasitoids found during the observation were Telenomus sp. (Hymenoptera: Scelionidae), Trichogramma sp. (Hymenoptera: Trichogrammatidae), Microplitis sp. (Hymenoptera: Braconidae), Charops sp., Anomaloninae (Hymenoptera: Ichneumonidae), Megaselia sp. (Diptera: Phoridae), and Tachinidae (Diptera), with parasitization levels of 29.71, 3.40, 1.65, 0.41, 1.23, 0.41, and 0.41% respectively. The other natural enemies found were predators, i.e. Doru sp. (Dermaptera: Forficulidae), Oxyopes sp. (Araneae: Oxyopidae), and entomopathogenic fungi Metarhizium sp. Telenomus was the most dominant natural enemy found during the observation.
The abundance of phytonematodes associated with ginger plants in the District of Bogor, Cianjur, and Sukabumi, West Java
Authors: Almursyidi H H , Munif A , Triwidodo H 
Published: January 2023

Abstract
Phytonematodes are a severe threat that can cause damage to ginger plants, decreasing the quality and quantity of ginger production. Lack of information regarding ginger’s association and abundance of phytonematodes is a challenge in phytonematode management. The research objective was to study the abundance and identify associated phytonematodes in ginger plantations. Samples of rhizomes, roots, and soil were taken from symptomatic ginger plantations in major ginger production areas in Bogor, Cianjur, and Sukabumi, West Java. Phytonematodes from rhizomes and roots samples were extracted using the mist chamber technique and phytonematodes from soil samples were removed with the centrifugal flotation technique. The phytonematodes suspension obtained was observed using a stereo microscope. Identification book The Pictorial Key To Genera of Plant-parasitic Nematodes and related journals for genus and species identification were used to identify nematodes. Each nematode sample received was calculated as a phytonematodes population. The results showed that based on morphological characteristics, seven species of phytonematodes were found in the rhizomes, roots, and soil of ginger plants, namely Aphelenchoides bicaudatus, Hoplolaimus sp., Helichotylenchus sp., Meloidogyne sp., Pratylenchus sp., Radopholus similis, and Rotylenchulus reniformis. R. similis was found to dominate from Bogor’s rhizomes, roots, and soil samples. The highest nematode population was Meloidogyne sp., with at least 821 nematodes per10 g of roots associated with ginger in Sukabumi.
Aflatoxin in rice: a publication review
Authors: Kristiningrum Ellia , Nurcahyo Rahmat , Susanto DanarAgus , Isharyadi Febrian , Budi Mulyono Ary , Anggraeni Putty , Dulbert Tampubolon Biatna , Harjanto Singgih , Wahyu Hapsari Bety , Yusuf Muhamad 
Published: January 2023

Abstract
Contamination of food products by various types of fungi can pose a severe health threat to humans and livestock. Aflatoxin (AFS) is a toxic and carcinogenic metabolite of the Aspergillus fungus that can occur in rice. Many studies have been conducted on the content of aflatoxins in staple foods, including rice. A literature analysis was performed to get an overview of the development of aflatoxin publication in rice using the Scopus database (Elsevier) between 2010 - 2021. In this article, we describe the focus of trends and characteristics of publications and visualize the growing network. The analysis includes descriptive analysis, keyword network, author collaboration network, and country/regional cooperation analysis. Research on the content of aflatoxins in rice has increased sharply in the last 20 years. The cause of aflatoxins is that fungi can potentially infect food crops, posing a significant health risk to humans and livestock. Aflatoxins are also thought to inhibit growth (growth retardation), resulting in stunting or failure to thrive. The main areas of study for aflatoxins can be separated into four categories: (a) types of aflatoxins; (b) origin and development process of aflatoxins; (c) test methods; and (d) type of product.
Potential of Dioscorea bulbifera L. as a bio-insecticide in controlling dry wood termites (Cryptotermes cynocephalus Ligh.)
Authors: Oksari A A , Susanty D , Rizki F H , Wanda I F , Arinana  , Dadang  
Published: January 2023

Abstract
Currently, chemical control techniques prevent termite attacks, but these chemicals’ effects are concerning because they negatively impact human health and the environment. Therefore, pest control is focused on alternative insecticides that are effective, selective, biodegradable, and environmentally friendly. Several secondary metabolites from the methanolic extract of Dioscorea bulbifera leaves have insecticidal activities. This study aimed to examine the potential of D. bulbifera extract as a bio-insecticide in controlling dry-wood termites (Cryptotermes cynocephalus Light.). The study was conducted using a Completely Randomized Design (CRD) with seven treatments and three replications. The treatment in this study was a combination of concentration and source of D. bulbifera extract. Parameters observed were termite mortality, weight loss percentage of the paper disc, and damage degree. Based on the One-Way ANOVA test at a 5% significance level, the treatment had a significant effect on mortality but had no significant effect on the weight loss percentage and the degree of damage. A concentration of 50% from D. bulbifera extract leaves was able to control dry wood termites with mortality of 70.97%., a weight loss percentage of 33.88%, and a degree of damage of 65.05%. This result indicates that D. bulbifera has the potential as a bio-insecticide in controlling dry wood termites.
Understanding indigenous knowledge in sustainable management of NTFPs agroforestry in Indonesia: a case of Southern Sumatra
Authors: Lestari Sri , Winarno Bondan 
Published: January 2023

Abstract
Peoples’ utilization and management of non-timber forest products in a sustainable manner is influenced by traditional knowledge and regulations. Communities near forests in Southern Sumatra, Indonesia, continue to rely on forest resources to cover their basic needs. However, as more people use the forests to collect non-timber forest products, their availability is decreasing. Qualitative research methods and literature studies were applied in this paper to document local communities in the provinces of South Sumatra, Bengkulu, and Jambi in applying their traditional knowledge and local wisdom to manage dragon’s blood (Daemonorops spp.) and cinnamon (Cinnamomum burmanii Blume). These priceless NTFPs (non-timber forest products) played a significant role in supporting people’s livelihoods and protecting the natural resources in their forest area. The community implemented a sustainable harvesting system to maintain the availability of resources so that the community still has the opportunity to collect NTFPs as a source of income in the future. Along with the decrease in these natural resources, the community has begun to develop an agroforestry system of NTFPs, coffee, and other crops. This domestication activity was expected to ensure the sustainability of production and to prevent overexploitation of forest resources. In the long run, involving indigenous knowledge was needed in maintaining natural resources to achieve sustainable development of NTFPs agroforestry in Indonesia.
Morphology of hybrid orchid induced by polyploidy using colchicine
Authors: Hartati S , Samanhudi  , Cahyono O , Wibowo A , Muliawati E S , Andarrini A A 
Published: January 2023

Abstract

Phalaenopsis orchid flower is one of the essential aspects that has received significant attention from orchid breeders and farmers. Undesirable floral characters can be improved and enhanced by polyploidization using chemically induced antimitotic compounds such as colchicine. This reserach aimed to determine the morphological characteristics of orchids after being colchicine. This research was conducted on December 2021-February 2022 in Screen House, Faculty of Agriculture, Universitas Sebelas Maret, Surakarta. In this research, three orchids of different types were used, that is P. Ox Black Face Ox 1647, P. Ox Spot Queen Ox Rouge Ox 1460, and P. Chain Xen Moment. This experimental study uses three samples of orchids given colchicine and orchids without colchicine. Each sample was repeated three times. The treatment was carried out by dripping colchicine 1,250 ppm on the buds of the three varieties, then covered with cotton and carbon paper. This study used descriptive analysis with data collection techniques, including direct observation and morphological documentation of three varieties of orchids. The results of this research indicated the success of P. Ox Spot Queen Ox Rouge Ox 1460, which had larger flower widths and lengths, that is, 9 cm long and 20 cm wide, and had an average flower autumn time of 60 days longer than the other two varieties.