bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection of New Staphylococcal Enterotoxin Encoding Genes in Staphylococcus aureus Isolated from Animals and Humans in Yogyakarta
Authors: Kurniyadi H , Faiztama A D , Widiyanto A P , Aziz F , Salasia S I O
Published: June 2023

Staphylococcal enterotoxins (SE) are essential in human and animal infection and food poisoning. This study analyzed ten genes (sek, sel, sem, sen, seo, sep, seq, ser, ses, and set) encoding new staphylococcal enterotoxin isolated from animals and humans by multiplex polymerase chain reaction (PCR). In Yogyakarta, Indonesia, samples from human infection cases (174 isolates), samples from cattle (5 isolates), and samples from goats (5 isolates) resulted in a total of 183 Staphylococcus aureus isolates.. All isolates were confirmed to be Staphylococcus aureus based on bacterial culture and biochemistry as well as identification of 23S rRNA. The sel gene was most often observed in Staphylococcus aureus isolates from goats (4 isolates, 80%), followed by the 20% sek gene. Isolates Staphylococcus aureus from cattle, the sel gene was most often found 44% (4 isolates), followed by sek gene 22%, sep gene 22% and ser gene 11%. Staphylococcus aureus isolates from humans were found with the most sem genes 22% (38 isolates), followed by 21% sel genes, 14% sek genes, 13% sep genes, 8% sen genes, and 2% ser genes. Staphylococcus aureus isolates from goats and cattle most frequently included the sel gene, whereas those from humans contained the sem gene. Detecting a new type of SE among animals and humans indicates a public health threat due to SE infection. The occurrence of this new type of SE might be used as an approach for controlling infections and food poisoning diseases.
Risk Map of African Swine Fever In Dairi District, North Sumatra Province
Authors: Primatika R A , Sumiarto B , Widiasih D A , Drastini Y , Susetya H , Nugroho W S , Putri M K
Published: June 2023

Increasing the consumption of pork can benefit farmers in several regions of Indonesia. Most of the profits earned by pig farmers are obtained through exporting pork to foreign countries. Pig farming in Indonesia is threatened with survival caused of an outbreak of African Swine Fever (ASF). ASF disease outbreaks in several countries, including Indonesia, are problems that have not been resolved. This study aimed to identify the influence of environmental factors on ASF outbreaks in North Sumatra Province. Data in this study is the incidence of ASF outbreaks in 2019 and 2020, including the outbreak’s date, the outbreak, the location of the outbreak, and the number of pig deaths due to ASF. Data analysis was performed using multiple linear regression analysis. The results showed that the environmental factor influencing the incidence of disease cases (ASF) in Dairi Regency, North Sumatra Province, with p_value < 0,1, was a traditional market. The multiple linear regression equation models obtained are Yi
= 5545 X6
(Market). The traditional market has a role in the spread of ASF because of the buying and selling of live cattle and pork. The risk map is divided into three zones: high, medium, and low. High risk is a location 5 km from the market, the medium risk is a location 10 km away from the market, and low risk is 20 km from the market. The risk map can be used as a reference for the prevention and control of ASF in Dairi District, North Sumatra Province. Prevention and control can be focused on the existence of traditional markets as a source of ASF spread.
Tuberculosis Cases Detection And Identification In Deer In Indonesia
Authors: Adji R S , Nuradji H , Dewiyanti R
Published: June 2023

Tuberculosis is an chronic infectious disease in humans and animals caused by member from the Mycobacterium tuberculosis complex (MTBC). Deer are one of the animals that are susceptible to tuberculosis and as a reservoir of Myocobacterium bovis, but can also be infected by Mycobacterium tuberculosis. One sample each of organs, lungs and lymph nodes from a dead Timor deer (Cervus timorensis) was obtained from a zoo in West Java in 2021. The test was carried out by culture method using modified Ogawa media and multiplex polymerase chain reaction (PCR) for identification of growing bacteria. The results of culture and PCR of these samples showed positive Mycobacterium tuberculosis. This is very interesting, because it may be the first identifiable case of tuberculosis in deer in Indonesia.
Evaluation of anti-trematode activity of Stachytarpheta jamaicensis L. Vahl aqueous extract against Paramphistomum sp in vitro
Authors: Umami M , Pratama I S , Dewi C P , Sriasih M
Published: June 2023

Stachytarpheta jamaicensis L. Vahl has traditionally been used as an anti-trematode, but its effectiveness needs to be scientifically tested. This study aimed to determine the anti-trematode activity of the Stachytarpheta leaf extract in vitro. The leaves were extracted using water, and their secondary metabolites were characterized by phytochemical screening. Paramphistomum sp isolated from the rumen was identified by morphometric determination. In vitro analysis of anti-trematode activity was carried out by post-test design, with control groups consisting of positive control (10% Albendazole) and negative control (0.9% NaCl), and the treatment groups consisting of the leaves aqueous extract with various concentrations (2.5%, 5%,10%). The anti-trematode effect was determined by the time required to destroy the worms. The results of phytochemical screening showed that the secondary metabolites contained in the extract were alkaloids, flavonoids, tannins, steroids, and triterpenoids. The average time of worm death was 30 and 240 minutes for positive and negative controls. In comparison, the extract with concentrations of 10%, 5%, and 2.5% killed the Paramphistomum in an average period of 45, 60, and 80 minutes. Amongst the treatment groups, the extract at 10% concentration was the most effective (p<0.05), indicating its potential use as an anti-trematode.
The quality of fresh and frozen semen Bali bull assessed from different ejaculate volume
Authors: Gustina S , Maulidyah A M N , Jalil M F R , Bahmid N A , Farida S
Published: June 2023

Semen volume is the amount of ejaculate released by male Bali cattle during one ejaculation, which consists of spermatozoa and seminal plasma. The purpose of this study was to determine the effect of Bali cattle ejaculation volume on the quality of fresh and frozen semen. Semen collection was carried out using an artificial vaginal collection method. The collected semen was then evaluated with microscopic parameters: motility, viability, and abnormalities. Semen came from 7 male Bali bulls. The data obtained were analyzed by one-way ANOVA. The results showed that there was no significant difference (P>0.05) between the volume of Bali cattle ejaculation on the quality of fresh semen and also post thawing based on the parameters tested. The sperm concentration of Bali bulls has average 935.75 ± 80.25 x 106. The average percentage of fresh semen motility was 70.79±1.26 while that for frozen was 47.83±1.89. The average viability of fresh spermatozoa was 80.04±3.68 while frozen 52.87±0.67. The average abnormality value of fresh spermatozoa was 8.54±1.88 while frozen was 23.83±4.22. Based on these results, it was concluded that the different volume of ejaculate of Bali cattle did not affect the quality of fresh semen of Bali cattle, both fresh and frozen based on the parameters of motility, viability, and abnormalities.
Administration of alloxan and streptozotocin in Sprague Dawley rats and the challenges in producing diabetes model
Authors: Fajarwati Indah , Solihin Dedy Duryadi , Wresdiyati Tutik , Batubara Irmanida
Published: June 2023

Alloxan and streptozotocin are the most prominent diabetogenic agents in diabetes research. However, most published reports do not represent the practical importance of their application. The present study evaluated alloxan and streptozotocin with various doses to determine the optimal diabetic model in Sprague Dawley rats. This study also identified the challenges in inducing diabetes using both agents. Every dose of alloxan (120, 150, 180 mg/kg) and streptozotocin (40, 50, 60 mg/kg) was administered through intraperitoneal injection. The results showed that alloxan-induced rats produced the highest mortality at the dose of 180 mg/kg, the highest incidence of diabetes at 150 mg/kg, and the highest induction failure at 120 mg/kg. In streptozotocin-induced rats, the highest mortality was at the dose of 60 mg/kg, the highest incidence of diabetes was at the dose of 50 mg/kg, and the highest diabetes induction failure was at 40 mg/kg. Cases of self-recovery and late diabetes were found in rats that received alloxan. Meanwhile, streptozotocin-induced rats only showed cases of self-recovery, especially at the dose of 40 mg/kg. This study also found differences in blood glucose, body weight, and insulin levels among the groups. This study concluded that induction of 50 mg/kg of streptozotocin resulted in the most ideal diabetic animal model based on low mortality, high induction success rate, and stable hyperglycemia.
Prediction of dilution in sublevel stoping through machine learning algorithms
Authors: Jorquera M , Korzeniowski W , Skrzypkowski K
Published: June 2023

One of the most used underground mining methods is open stope mining which involves extracting a large body of ore through drilling and blasting. The method offers plenty of advantages but it has some very important drawbacks, such as overbreak, wall instability and unplanned ore dilution. The research looks to test the efficiency of using machine learning algorithms to estimate the dilution in open stopes, some of the expected benefits are reduced time cost (compared to numerical analysis) and more accurate results (compared to empirical methods). The algorithms utilized are: random forest (RF), support vector machine (SVM) and k-nearest neighbors (KNN). The algorithms were trained and tested with 752 cases from several mines across the world. Three algorithms accomplished AUC scores over 0.850, which can be considered excellent results, but random forest achieved the most impressive results (precision score = 0.835, accuracy score = 0.804 AUC score = 0.942). From the obtained results it is possible to conclude that the machine learning algorithms can be used as trustworthy tools for the estimation of dilution, but some adjustments may be needed to increase the accuracy to specific mine sites.
Prospects of in-belt IMU sensors application for fault detection in mining conveyors
Authors: Zimroz Paweł , Krot Pavlo , Szrek Jarosław , Dębogórski Błażej
Published: June 2023

The belt conveyors of high power are the main transport in the industry, especially for mining enterprises. Since the total length of conveyors in the mines reaches several kilometres, the inspection of all idlers in harsh conditions is a challenge for maintenance personnel because the jamming of supporting idlers with damaged bearings causes belt overheating and subsequent fire. Conveyor belt breaking is also a serious trouble during continuous operation. In this research, the authors based on preliminary measurements are aiming to show that fault detection in belt conveyor idlers is quite possible to be conducted using a single or multiple small-size IMU (or other type thin sensors) placed directly on the belt or inside it. The information available from the IMU sensor is discussed in this paper. Transient signals are associated with the sensor passing each idler. Some methods for signals processing and possible diagnostic features extraction are presented.
Pile tip bearing capacity in rock masses: analytical and numerical analysis comparison
Authors: Picardo A , Millán M A , Galindo R A , Andrés-Hernandez J L , Santos de Alencar A T
Published: June 2023

This paper researches the different approaches to calculate the ultimate bearing capacity at the pile tip embedded in a homogenous rock mass characterized by the modified Hoek and Brown failure criterion. The main objective is to analyze the performance of the novel Discontinuity Layout Optimization method (DLO), which directly calculates the limit load, instead of using a load convergence scheme, being first applied here to the complex problem of piles in rock. The DLO results are validated against the available analytical solution and the Finite Difference Method (FDM) results, for wide range of geometric and geotechnical parameters. Perfect plasticity, plane strain conditions, associated flow rule, the modified Hoek and Brown failure criterion, and weightless rock media are considered in all models. The comparison between solutions is expressed by a percentage difference considering the analytical solution or the numerical solution as a reference. Results relative to DLO and FDM differences against the analytical solutions point towards some limitations of the analytical solution and that the numerical model does not reproduce exactly the analytical solution hypotheses. From the analysis, DLO demonstrates to be a very efficient and accurate tool to address the tip-of-pile bearing capacity, presenting considerable advantages over other methods.
Accumulation of the Crushing Products in Ballast Layer under Cyclic Load
Authors: Kolos A. , Pidal I. M. , Klishch S. , Leus O.
Published: June 2023

Increasing of ballast layer bearing capacity is a widespread problem during the operation and maintenance of a railway track nowadays. It is known that with an increase of the passed tonnage, the ballast layer tends to become contaminated both by the products of its own crushing and by the external weeds which rapidly leads to the strength and operational characteristics degradation of the crushed stone ballast. In this study, an attempt was made to simulate the effect of cyclic load from rolling stock on the ballast layer and to determine the extent of wear of crushed stone ballast of category II in accordance with GOST 7392.
Analysis of the handling and preparation of samples in the resonant column and cyclic torsional shear equipment
Authors: Tijera A , Galindo R A , Asanza E
Published: June 2023

In many geotechnical applications, the shear modulusGis the one that governs the dynamic behaviour of the soil, and many fields and laboratory methods are focused on calculating it. This is the case of the resonant column and cyclic torsional shear tests, which allow both the modulusGand the dampingDto be obtained in different strain ranges. These laboratory tests are carried out in a triaxial cell and in both tests, torsion is applied to the upper part of the specimens, which has allowed new commercial devices to group both techniques in a piece of a single equipment. The combination of the two tests makes it possible to obtain the dynamic properties of the soil over a wide range of strains, 10-4≤γ≤1%.

Due to the small strains reached in these tests, less than 1%, the correct preparation of the specimens and their mounting in the triaxial cell are factors of vital importance for the reliability of the test results. In undisturbed samples, the sample should be handled, and the specimen carved with special care, trying not to alter the structure of the original soil. For remoulded clay specimens, static compaction in an external press and subsequent mounting on the triaxial cell pedestal are recommended. Saturation can present difficulties, as in these tests drainage and saturation can only be carried out from the bottom of the specimen. Consolidation times can be long. Sand specimens should be made by placing a mould on the pedestal of the triaxial cell and applying a vacuum. The method of freezing the specimen is discarded due to the long assembly time.
Data optimization for the knowledge bases in the oil and gas Monitoring-While-Drilling (MWD) Systems
Authors: Poteriailo Liudmyla , Sheketa Vasyl , Romanyshyn Yulia , Krot Pavlo
Published: June 2023

The ability of a knowledge-oriented system to learn requires the selection and organization of data. The article is devoted to the disclosure of the stages of data preparation for the application of case-based procedures to support decision-making by the operator of the technological process in the field of oil and gas wells drilling. The presented concept allows concentrating expert experience in the subject area and satisfies the criteria of the main sources of knowledge required for the functioning of case-based considerations. The main potential of artificial intelligence to learn is based on semantic dictionaries of the subject area, case databases in the form of knowledge bases, metrics of similarity, adaptation and configuration containers, which are identified as the sources of knowledge. The effectiveness of using computer simulators as a platform for experimental research of new models of complex technological processes is estimated.
Analysis of changes of the vegetation condition on the area of the closed Prosper-Haniel mine in 1984-2021 using multispectral satellite images
Authors: Pawlik Marcin , Rudolph Tobias , Bernsdorf Bodo
Published: June 2023

Mining processes have a significant impact on the surrounding environment even after the exploitation has ceased. Today a continuous monitoring of post-mining processes in the areas of water management, vegetation and air pollution is important. In the project “Digital Twin – Integrated Geomonitoring” funded by the RAG Stiftung (no.20-0013) and carried out in cooperation with the Geological Survey of North-Rhine Westphalia, scientists are investigating the possibilities of integrating and fusing data from multiple sources (mining and geological maps, in-situ measurements, drone flights and satellite missions). The goal is to understand the causes and phenomena occurring on the Earth’s surface and thus to generate a process understanding. The key issue of this project is geo-monitoring of the environment in mining areas using vegetation indicators. This paper presents an analysis of the vegetation health of the cover for the period 1984-2021 using selected remote sensing indicators: NDVI, GNDVI, SAVI, MSAVI, NDWI and MNDWI. The studies indicate the possibility of long-term spatial-temporal observations of a selected test area in order to observe the impact of post-mining processes in the area of the closed Prosper-Haniel mine.
The use of UAVs in supporting the preservation of the industrial and mining heritage in the Ruhr area
Authors: Haske B , Tiganj J , Bernsdorf B , Rudolph T
Published: June 2023

Over the last decades, all hard coal mines (the last one in 2018) and many industrial facilities (e.g. coking plants, steel mills) have been closed in the Ruhr region as part of an ongoing, long-term transition process. The centuries-old mining tradition is nevertheless very much embedded in the population. For this reason, the monuments of the industrial age are regarded as defining, identity-forming landmarks that must be preserved as original as possible in the future - not only in the Ruhr region, but also in many comparable regions in Germany (e.g. Saarland, Ibbenbüren or the Aachen area) and worldwide. Extreme weather conditions caused by the fast progressing climate change are affecting these structures of disused steel mills or coking plants. Cracks, paint spalling and other material damage develop, making expensive refurbishment or, in the worst case, demolition necessary. Climate change also affects the subsoil and thus the stability of the facilities by negative environmental influences such as drought or moisture. As part of a feasibility study, the Research Center of Post-Mining is developing an innovative method for non-destructively assessing the condition of monuments of industrial and mining heritage. UAVs (Unmanned Aerial Vehicle) equipped with optical, thermal and multispectral sensors are being used for the first time for this purpose. They collect high precision and high-resolution data, which is viewed and fused together, making it possible to model the complex buildings comprehensively in 3D (+ time) and to examine them for possible damage. In the long term, the highly accurate 3D-models with all their information will be integrated into the spatial data infrastructure of the Ruhr Regional Association (RVR) and thus made available to a broad public and experts from the fields of history, architecture or monument preservation.
Grain segmentation in sandstone thin-section based on computer analysis of microscopic images
Authors: Dabek Przemyslaw , Chudy Krzysztof , Nowak Izabella , Zimroz Radoslaw
Published: June 2023

The segmentation of minerals visible in sandstone thin-sections is a necessary part of microscopic estimation of mineral composition, the most important part of petrographic and sedimentological studies. This process is often a hard task due to the difficulty in determining the exact boundaries between grains, mainly caused by secondary alteration in minerals, etching of grains and pore-space filling by cements. Structural features play a very important role in mineral identification and undoubtedly without their use mineral recognition in thin sections gives many misclassification results. Calculation of each grain area is an important part of the process that is very time-consuming if done by-hand. Presented method provides a precise solution while mixing automated and non-automated approach. Photos of a sandstone thin section were taken using a Nikon Eclipse LV100N POL polarizing microscope, at 200x magnification, in transmitted light, with crossed polarizers. Then to determine the borders and therefore area of distinct grains, a sample image has been chosen. Initial contours have been created by-hand inside graphic application on a tablet device, as the non-automated part of the presented method. Afterward, the layer with marked boundaries was analyzed by computer software. In the automated part of the method, marked contours of grains were detected inside the algorithm with areas calculated afterward.
Application of Terrestrial Laser Scanning in Inventories of Architectural Objects and Building Structures – Illustrated by St. Lazarus’ Church in Wrocław (Poland)
Authors: Karbowiak Kinga , Kasza Damian
Published: June 2023

Laser scanning technology is currently one of the most popular geodetic measurement methods, used for example in preparing inventories of architectural objects and of building structures. Its advantage results from high measurement effectiveness (the possibility to acquire large amounts of data in a relatively short period of time), precision and “resistance” to environmental conditions (the ability to make measurements independently of light or wind conditions, also during light rain or in the presence of limited amounts of dust in the air). This paper presents a method for using the Autodesk Revit environment to construct a 3D model of St. Lazarus’ Church in Wrocław. The model is based on data acquired from in-field measurements using Terrestrial Laser Scanning (TLS). The paper also presents a methodology for the acquisition and processing of such data and includes an evaluation of the precision of both the data and the resulting 3D model. The final result of the presented research comprises a 3D model of St. Lazarus’ Church in Wrocław, together with 2D documentation.
Spatial model of Particulate Matter PM10 in Bekasi City, West Java Province using Landsat-8
Authors: Tamara D , Wibowo A , Shidiq I P A
Published: June 2023

Bekasi was the city with the largest population in West Java Province. In Bekasi, movement mainly used vehicles. This research aims to analyze PM10 spatial pattern in Bekasi City and validity spatial model of PM10 from vehicle volume and Landsat 8 with PM10 from passive sampler as validator. This research used descriptive spatial and statistical root mean square error (RMSE) analysis. Based on PM10 from vehicle volume, large capacity arterial roads covered poorer air quality index. Based on PM10 from Landsat 8, it happened in opposite phenomena. Regarding congestion traffic on small-capacity arterial roads, some points of vehicle volume measurement were congested, and others were not. PM10 with an unhealthy air quality index also could be sourced from residential, commercial & services, and industrial buildings. Then, RMSE spatial model of PM10 from vehicle volume had lowered error than a spatial model of PM10 from Landsat 8. However, if a further analysis was done by considering spatial characteristics (such as land used), several area models were located on the same land used. This research showed that a combination of model errors and their relation to spatial characteristics could be a new approach to assessing model performance.
Taking the advantage of Participatory Geographic Information System (P-GIS) in validating Semeru disaster prone area map in Oro-Oro Ombo, Lumajang
Authors: Irawan L Y , Devy M M R , Prasetyo W E , Farihah S N , Hartono R , Purwanto
Published: June 2023

Desa Oro-Oro Ombo is located on the south-eastern flank of Semeru Volcano. It sits in a disaster-prone area (KRB) level I, II, and III due to the high possibility of being impacted by volcanic ash fall and lahar flow. However, the 1996 KRB map is no longer relevant because the impact of the 2021 Semeru eruption expanded more than expected. As a result, it increased the hazard and vulnerability of the village in the future. Therefore, it is crucial to generate the post-2021 KRB map and study the community’s perspective and knowledge about it. This research adopted a qualitative approach for data-gathering, i.e., in-depth interviews with key informants and the P-GIS methods. Interviews were conducted with the representative of BPBD Lumajang, coordinator of Semeru observatory station, coordinator of lahar flow observatory station, representative of local government, and impacted inhabitants. Meanwhile, P-GIS was applied to validate the KRB map. The study found a difference in the KRB coverage due to the deviation of the village administration boundaries. This research then produced a validated post-2021 Semeru eruption KRB map that can be utilized as the basis for further volcanic disaster risk management of Oro-Oro Ombo. According to the result the current map is going to reform the knowledge towards the recent hazards and risks.
Environmental sanitation knowledge of environmental engineering’s students at Hamzanwadi University
Authors: Widiyanti B L , Hartini H
Published: June 2023

The current study aimed to assess environmental sanitation knowledge of university students, especially the student of the environmental engineering department, who have take the Environmental Sanitation course. The data collect by using a paper-and-pencil instrument test and quantitatively analysed. Determination criteria of level knowledge using total scores or scores of each answer of questions in instrument test and using the normal distribution with 5 classifications. The results of data analysis have revealed that the mean scores of test are 72.1, categorized well, with the highest and lowest values are 87.5 and 25. Students who have a total score categorized as good and excellent exceeds half of the population studied (90.12%). This shows that student of 4th semester for 4 years in environment engineering department classified as good. Based on factors influence the knowledge, in this research shows that probably factor affected the level of student knowledge was 4 parameters: interest, mass media exposure, experience and social relationship.
Manifesting a sustainable circular economy in waste management by linking to Paddy Farming in Gianyar Regency, Bali
Authors: Utomo Marcellinus Mandira Budi , Pieter Levina Augusta Geraldine , Putra Hermitianta Prasetya , Siagian Carmen Minerva
Published: June 2023

Bali is a province that has a source-based waste management program that is in line with the concept of a circular economy, in the form of a waste management facility at the village level (called Tempat Pembuangan Sampah Reduce, Reuse, and Recycle or TPS3R). TPS3R is still in the stage of looking for a sustainable form of business. One of the main products of the waste management facility is compost, which although it is good for improving soil quality and rice field ecosystem, but is still difficult to find consumers, making the continuity of its business in question. By having sustainable business, we can generate more sustainable environmental benefits. The action research was conducted in three villages, i.e., Sayan, Taro, and Pejeng, in Gianyar Regency. It aims to bridge the use of compost for the initiation of healthier paddy farming, while identifying ongoing business processes, potential environmental benefits, opportunities for mainstreaming healthier paddy farming, as well as the role of relevant stakeholders in realizing a circular economy business model that is sustainable and more independent. We interviewed 22 key informants. The results show that all villages have the same business model, viz. utilizing organic waste for composting, plastic waste for sorting and resale, and residual waste that will be sent to landfill because it has no economic value. Although the sale of compost is still an obstacle, there are opportunities if it can be synergized in the practice of paddy farming. This mainstreaming can be further synergized into food security projects that must be allocated from village funds. So, the role of the village government in this case is huge, followed by TPS3R management capabilities, while other parties such as NGOs, academics, and agricultural activists are only limited to functioning as encouragement and companions. If the TPS3R is successful, the village community will receive environmental, social, and economic benefits.
Landslide inventory mapping derived from multispectral imagery by Support Vector Machine (SVM) algorithm
Authors: Suyarto R , Diara IW , Susila KD , Saifulloh M , Wiyanti W , Kusmiyarti TB , Sunarta IN
Published: June 2023

Indonesia is located right on the equator, which receives a lot of heat from the sun and rainfall. Therefore, Indonesia is prone to hydro meteorological natural disasters such as droughts, large sea waves, erosion, floods and landslides. The National Disaster Management Agency (BNPB) noted that floods are followed by landslides of the total hydro-meteorological disasters that most often occur in Indonesia. An inventory of the distribution of multi-year landslides is essential as a basis for disaster mitigation and disaster risk reduction. The research case study was carried out in an area prone to landslides around Mount Batur, Bali-Indonesia. Characteristics of areas with high rainfall and steep slopes (>45%). Detection of areas affected by landslides can be identified with multispectral remote sensing images such as Sentinel 2 Image with a spectral resolution of 13 bands and a spatial resolution ranging from 10-60 m. Data acquisition was carried out in the period 2017-2021. The Support Vector Machine (SVM) algorithm is an alternative for detecting landslide areas in this study. The result showed that the accuracy assessment of the SVM algorithm on the training and validation/testing models is more than 84%. We obtained carrying out a landslide inventory is 25.29 km2. Based on our analysis, the most extensive landslide distribution was found in Batur Village (South and Central), followed by Songan A, Sukawana, Kintamani, and Buahan Villages. This research can be used to develop the Landslide Susceptibility model so that entering the landslide inventory parameters gives good results. As well as a basis for disaster risk reduction (DRR), especially for the community, government, and tourists in this research location.
Community and government preparedness to reduce the risk of land fires on peatlands
Authors: Arisanty Deasy , Putro Herry Porda Nugroho , Anis Moh. Zaenal Arifin , Hastuti Karunia Puji , Abbas Ersis Warmansyah , Aristin Nevy Farista
Published: June 2023

Every year, land fires on peatlands in South Kalimantan occur, primarily during the dry season. Society and local authority preparation is necessary in communicating to land burning in order to lower the probability of land fires and their impact—data collection using interviews and FGDs. The number of respondents interviewed was 28, who came from the Regional Disaster Management Agency or Badan Penanggulangan Bencana Daerah (BPBD) of Banjarbaru, Forest Fire Control Brigade (Manggala Agni) of South Kalimantan Province, and the Fire Brigade of Banjarbaru. We also interviewed the Fire Care Community or Masyarakat Peduli Api (MPA), consisting of 3 village administrators and 15 MPA members. The results of the study result that fire care communities (MPA) and Fire Brigade or Barisan Pemadam Kebakaran (BPK) are always ready to be on standby in controlling land fires in their area. They cooperated with local governments to control and extinguish fires. Local governments are also on standby when fires occur. The provincial government’s infrastructure and water sources for blackouts, routinely conduct patrols and socialization with the community. However, various problems were faced, including limited water sources and infrastructure. Therefore, difficulties in dealing with disasters must be addressed to reduce the risk of broader peatland fires.
Utilization of MODIS Imagery to determine the rice growth stage in West Java Province
Authors: Setiawan Cahyadi , Hardi Ode Sofyan , A’Rachman Fauzi Ramadhoan , Pangestu Dimas Putra , Nabilla Lyzia , Ariyanti Oktavia , Pratiwi Rantian Virta Eka , Arramadhani Abdul Aziz , Wiranata Andi
Published: June 2023

The estimation of lowland rice was not in accordance with the management of rice during the previous planting period. A method that can reach large rice fields quickly is needed to find out the phases of rice to maximize the management of paddy fields properly regardless of the condition of the rice. This study aimed to determine the planting phase of lowland rice based on its area indirectly, while the method used in this study was EVI based on MODIS images for the past ten years. The analysis of rice growth phases in West Java Province using EVI showed differences in rice growth phases in each district. This difference can be seen in the distribution of planting, heading, and harvest season. Vegetation showed that 26 districts in West Java had different planting areas, headings, and harvests each time. With the knowledge of the area, efforts are made so that the management of paddy fields should be based on the age of the rice at that time.
A policy review: are disaster safe schools in Pekalongan Regency necessary?
Authors: Ronggowulan Lintang , Wibowo Yunus Aris , Saputro Hikari Dwi
Published: June 2023

Floods, tidal floods, droughts, and landslides have caused huge material and immaterial losses in Pekalongan Regency. The disaster also had an impact on the education sector. This study aims to determine the need for disaster-safe schools in Pekalongan Regency. This research is a literature study involving book literature, journal articles, news, ministry data reports, government policies, laws, and regulations regarding disaster risk reduction in schools. The results found that around 80% of primary and secondary schools in Pekalongan Regency are located in disaster risk areas. There have been several disaster events that have had a direct impact on schools. The Disaster Risk Reduction (DRR) policy in schools on a global, national and regional scale has been ratified as a guideline for creating a sense of safety in schools. One of the policies of the Indonesian government is the SPAB (Disaster Safe Education Unit) program. The SPAB program offers guidelines for protecting education units against disasters. However, the program implementation needs financial support from the local government. Schools should be involved in DRR actions. The urgency of the SPAB program is very clear to be implemented in Pekalongan Regency.
Multi-Criteria Decision Analysis (MCDA) for estimate economic valuation for flood risk in DKI Jakarta Province
Authors: Marpaung F , Fernando D , Setyaningrum N , Lestari S , Sulistyowati R , Dinanta G P
Published: June 2023

A 4-day-flood occurred in Jakarta Province, Indonesia at the end of 2019 caused severe moral and material losses and weakened the economy. Various flood risk management methods are available to mitigate this damage. Assessing flood risks is thus an essential task for disaster management activities. An accurate flood risk map is required to be developed. In this research, we developed an economic valuation of flood risk that combines a quick flood map with the consequences of flooding using the Multi – Criteria Decision Analysis (MCDA) in the DKI Jakarta area. A quick identification of flood zones was carried out using SAR (Synthetic Aperture Radar). We estimated that about 54.10 km2 area was flooded area with a total economic loss about 1.406 trillion rupiahs. The sector of construction (10.10%), manufacturing (11.51%), wholesale, rental trade and repair of vehicles (13,90%), business activities (6.77%), financial & insurance (7.33%), and information & communication (7.6%) are major affected sectors that contributes 56.86% of the total economic loss from the market value. 20.49%-other service activities implicitly underestimate the value of environmental services and human productivities. To understand this, a detailed analysis of non-market value is needed in understanding the actual total economic loss.
Analysis of distribution and characteristics of mangrove forest in Serasan District, Natuna Regency
Authors: Sabtudin  , Muryani Chatarina , Ahmad
Published: June 2023

Mangrove forest habitat has its characteristics, generally growing in intertidal areas with muddy, loamy, or sandy substrates. This study aims to determine the characteristic and distribution the mangrove forests at the coastal of Serasan District, Natuna Regency. This study uses a mix method with a spatial approach. The distribution of mangrove forest was analyzed by LANDSAT ETM-7 while the characteristics of mangrove forests were observed through image interpretation and field observations. Based on the data analize can conclude that (1) Distribution of mangrove forests in the sub-district of Saran, especially in the bay area in the southern part of Serasan Island, with a thickness that varies greatly from 30 m to more than 1000 m. (2) The mangrove vegetation in Serasan District is dominated by Rhizophora stylosa and Bruguiera gymnorrhyza with different densities. The people of Serasan District have not used and managed mangrove forests in their area.
Analysis of the psychological adaptability of high school students in disaster-prone areas of Mount Merapi
Authors: Wijayanti A , Hafida S H N
Published: June 2023

Psychological disorders that are often experienced by school students in disaster-prone areas are fear and anxiety so students need to be equipped with disaster adaptation skills, especially psychological adaptation. This study aims to determine the level of psychological adaptation of high school students and to analyze the differences of each level for disaster-prone areas I, II, and III of Merapi Volcano. This research used quantitative method with a survey design, while the data were collected by using questionnaires and observations. Respondents in this study amounted to 224 students from SMA Muhammadiyah 1 Muntilan, SMA Negeri 1 Dukun, and SMK Muhammadiyah Cangkringan with the sampling technique of cluster random sampling. Data analysis techniques used are descriptive statistics and inferential statistics (independent samples t-test). The results showed the good and moderate level of psychological adaptation for 34% of SMA Muhammadiyah 1 Muntilan students, good level for 14.4% students of SMA Negeri 1 Dukun, and very good level for 35.3% of SMK Muhammadiyah Cangkringan students. Meanwhile, the results of the t-test showed that there was no difference for high school students in disaster-prone areas I and II, and significant differences for disaster-prone areas I and III schools also disaster-prone areas II and III schools in dealing with student’s psychological adaptation.
Rural planning study based on RPJMDes in Jepitu Village, Gunung Kidul Regency, Indonesia
Authors: Hasanati S , Rijanta R , Pitoyo A J
Published: June 2023

One of the fundamental problems in the implementation of village development is related to the elements of village development planning or the preparation of Village Medium-Term Development Planning (RPJMDes) documents, because the RPJMDes is a document that shows the direction, objectives and policies of village development. RPJMDes is a document prepared by considering the objective conditions of the village and the development priorities of the district. The RPJMDes is prepared to be a systematic framework of thinking about the problems faced by villagers, about the potential sources of villages, as well as the formulation of strategic actions oriented to fulfill common ideals, namely improving welfare and at the same time building a democratic, fair and open (transparent) village government system or good governance. Jepitu Village is one of the villages located in Gunungkidul Regency, Yogyakarta Special Region which already has a RPJMDes for the period 2020-2025. This study aims to examine the suitability of the development planning process of Jepitu Village with selected reference documents. The method used was descriptive method. The results of the analysis of the Jepitu RPJMDes shows especially in the village development program, there is a discrepancy between the RPJMDes and the ideal rules of the RPJMDes regulated by government regulations.
Spatial patterns of forest and land fire hazards using hybrid fire index in Kubu Raya Regency, West Kalimantan Province
Authors: Zulfikar M E , Wibowo A , Zulkarnain F
Published: June 2023

The emergence of smoke caused by forest and land fires has very specific characteristics because most of it is on peatlands. Efforts to prevent forest and land fires are essential considering the prevalence of forest and land fires in Kubu Raya Regency, West Kalimantan Province. Therefore, this study aims to analyze the spatial pattern of spatial modelling of forest and land fire hazard areas with the Hybrid Fire Index and determine the correlation between forest and land fire hazard areas and the function of forest areas in Kubu Raya Regency. The Hybrid Fire Index method is used to weight each variable used. There are two factors that affect forest and land fire hazard areas, namely topography and human activities. Based on the results of the raster overlay analysis with the Hybrid Fire Index weighting, it was found that Kubu Raya Regency is dominated by moderate-level forest and land fire hazard areas of 654,901.50 hectares or 76.55%. The results of spatial modelling of forest and land fire hazard areas have been validated with hotspots in 2021 using the AUC/ROC curve and the area under the ROC curve value is 0.862 which indicates that the score of this model is very good. The results of the nearest neighbor analysis show that the ratio value is more than 1, which means that the distribution of forest and high-level land and forest fire hazard areas has a spreading pattern throughout the district. The results of the chi-square statistical test of the hazard area with the forest and land area functions yielded a significant value of less than 0.05 with a contingency coefficient of 0.603, which means that there is a moderate correlation between forest and land fire hazard areas and the function of forest and land areas.
Identification of forest fire hazard area in Kubu Raya Regency, West Kalimantan Province
Authors: Adelia L N , Ash Shidiq I P , Zulkarnain F
Published: June 2023

Forest and land fires are events caused by both natural and human processes. Kubu Raya Regency, West Kalimantan is one of the districts that often experience forest and land fires. Generally, the forest and land fires are caused by human activities increase population density and land clearing through burning land. Forest and land fires in Kubu Raya Regency have caused environmental and economic damage, therefore it is necessary to identify the hazard areas for an effective management system to prevent more fires. This research aims to identify forest and land fire hazard areas and determine its relationship with concession areas in Kubu Raya Regency. Analytical Hierarchy Process (AHP) method is used to obtain the weight of each variable. There are three criteria that affect forest and land fire hazard area: topography, meteorology, and human activities, which consist of eight variables: altitude, slope, aspect, temperature, rainfall, wind speed, population density, and distance from the settlements. Based on the AHP calculation, the final weight of the topographic criteria is 0.11; meteorology 0.28; and human activity 0.62. This district’s forest and land fire hazard areas are divided into three classes: low, medium, and high. The weighted overlay result shows that Kubu Raya Regency is dominated by moderate forest and land fires areas, covering an area of 433.654,34 Ha or 50.7% of the total area. The second-largest forest and land fire hazard area are at a high level with an area of 244.282,41 Ha or 28.6% of the total area. The low forest and land fire hazard area has 177.624,25 Ha or 28.6% of the total area. The results fires hazards area were validated by hotspot data using the AUC/ROC curve and obtained an area under the ROC curve value of 0.76, which indicates moderate score of relationship.
Modelling of urban growth based on a Geographic Information System (GIS) and cellular automata at Sukoharjo Regency in 2032
Authors: Noviani Rita , Muryani Chatarina , Ahmad  , Sarwono  , Sugiyanto  , Prihadi Singgih
Published: June 2023

Surakarta is one of the big cities in Central Java and is the centre of the development of the mainstay area of SUBOSUKOWONOSRATEN. The physical development of the city of Surakarta has unwittingly spread to the periphery. The material changes in land use illustrate the expansion of the city of Surakarta and social and economic towards urban areas, called urbanization. Spatially, urban development in the suburbs of Surakarta City tends to the south or, in other words, towards Sukoharjo Regency. In line with the unstoppable pace of urbanization, Sukoharjo Regency must maximize development opportunities. The growth of urban areas can indicate urbanization. Industrial and residential growth can be an indication of urban growth. Urban growth modelling uses landusesim, GIS and Cellular Automata as the basis. Expectations of land use change are for industry to increase by 405 ha and settlements to increase by 2103 ha. The most significant land use change from 2022-2032 is in residential land use with an area of 1714.95 ha, which has changed from 2022 by 9%. Changes in land use for settlements are below the previously predicted expectations. Industrial land use also experienced changes in 2032; it increased by 405 ha or 48% from 2022.