bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of carrageenan quality of Eucheuma cottonii and Eucheuma spinosum seaweed from Bantaeng Regency and its export permit regulations in Indonesia
Authors: Lestari Mega Fia , Yusra Sri , Fuady Muhammad Ikram Nur , Rahim Herlina 
Published: March 2024

Abstract
One of the valuable compounds contained in seaweed is carrageenan, which is found in Eucheuma cottonii and Eucheuma spinosum, the most common species found in Bantaeng Regency, Indonesia. This study aims to measure the quality of carrageenan in those Eucheuma and elaborate on seaweed export regulations in Indonesia. The method used is KCl precipitation, where analysis is carried out on the yield value, moisture and ash content, and pH of carrageenan with reference to the Food and Agriculture Organization (FAO) standards. While the rules for export permits will be explained qualitatively using a statutory approach. The findings showed that the amount of moisture and ash content that met FAO standards was found in Eucheuma cottonii, and it also had the highest yield value. Furthermore, in terms of export permits, exporters need a certificate of origin for seaweed, which is regulated in the Regulation of the Minister of Maritime Affairs and Fisheries No. 7/PERMEN-KP/2013, which aims to provide legal certainty regarding product quality for both exporters and importers. This study recommends that it is required to vary the concentration of the KOH solution used to soak the seaweed in order to obtain a pH of carrageenan that meets FAO standards.
Effect of climate change to characteristic of extreme rainfall over Batanghari watershed
Authors: Handoko Unggul , Boer Rizaldi , Aldrian Edvin , Misnawati  , Dasanto Bambang Dwi , Apip  
Published: March 2024

Abstract
Climate change will cause extreme rainfall, both wet and dry. Extreme rainfall will cause catastrophic floods and droughts. Therefore, it is important to analyse extreme rainfall and flood events in the future. Disasters and environmental issues in the Batanghari watershed include flooding, drought, forest and land fires, sedimentation, and water quality degradation. Therefore, the Batanghari watershed is selected as a study area in this research. Research on climate change in the Batanghari watershed is crucial to understanding the trend of extreme conditions now and in the future. Characteristics of extreme rainfall will be analysed using the climate index that was developed by the Expert Team on Climate Change Detection and Indices (ETCCDI). Results show that climate change in the Batanghari watershed is indicated by increasing 5 of 6 extreme rainfall indices: R95p, R99p, Rx1day, Rx5day, and SDII. An increase in extreme rainfall is correlated with an increase in flood events in the Batanghari watershed in similar periods. The extreme rainfall index that most influences flooding in the Batanghari watershed is PRCPTOT and R99p. Flooding is expected to occur more frequently in the future than it does now. The Batanghari Hilir Sub-watershed is more vulnerable to extreme flooding in the future than other sub-watershed.
Knowledge of disaster safe education at landslide-prone schools in Tawangmangu, Indonesia
Authors: Ronggowulan Lintang , Nugraha Setya , Wibowo Yunus Aris , Saputro Hikari Dwi , Hapsari Karina Sindy 
Published: March 2024

Abstract
Natural disasters are phenomena that cause losses to humans. Therefore, research on disaster education must be intensified in areas where natural disasters frequently occur. Tawangmangu is an area that is prone to landslides. This research aims to analyze landslide vulnerability in Tawangmangu Sub-District, determine the distribution of schools in landslide-prone areas, and the school community’s knowledge of the Disaster Safe Education Unit (SPAB). This research is qualitative research based on literature studies, school locations, landslide disaster vulnerability data as well as policies and history of SPAB implementation in Tawangmangu. Determining the research location based on the level of landslide vulnerability in Tawangmangu which shows that most of the area is in the high vulnerability category. The research results show that the actual condition of schools prone to landslides in Tawangmangu is 54%, but individual knowledge about SPAB is still very low. The SPAB program needs to be implemented in schools prone to landslides in Tawangmangu Sub-District.
Disaster risk assessment in villages near PT ANTAM UBPB West Kalimantan’s bauxite mining area
Authors: Abdillah A M , Sulakhudin  , Sukirno  , Fermata W , Sari E P , Nasruddin  
Published: March 2024

Abstract
PT Antam UBPB West Kalimantan is a firm dedicated to the long-term viability of the local community. This commitment is fulfilled by the preparation of an analysis of disaster risk, vulnerability, and capacity owned by the communities surrounding the company’s operational region in order to lessen the danger of an imminent disaster. Balai Belungai Village is one of these villages, which faces two sorts of threats: floods and droughts. According to an estimate of disaster risk, a flood will have an impact on four sorts of assets: human assets, economic assets, infrastructure assets, and environmental assets. Drought will have an impact on four sorts of assets: human assets, economic assets, environmental assets, and social assets. Drought poses a high level of danger to economic assets, a moderate level of risk to human and environmental assets, and a low level of risk to social assets.
Gravity signatures at the upper plate above subducting asperities along Sunda Arc
Authors: Handayani Lina , Hanif Muhammad , Mukti M Maruf , Anggono Titi , Lubis Ashar M. , Gaol Karit L , Sudrajat Yayat , Setiawan Iwan , Arisbaya Ilham , Triahadini Agnis 
Published: March 2024

Abstract
The subducting Indo-Australian plate along the Sunda Arc has various degrees of roughness near the trench. The variation in the subducted plate’s seafloor morphology should affect the upper plate’s dynamic at the forearc region and further in land, which would appear in the form of variation in seismicity along the arc. In this paper, we explored the pattern in topography and gravity along the forearc at two regions. First is northern Sumatra, where some ridges have been subducted. The second is east Java, where part of the oceanic plateau of Roo Rise has been subducted. In addition, we also examined the seismicity in those two regions. The elongated ridges pattern of the subducted ridges was observed in the forearc region of Sumatra as the higher anomalies. It is probably due to the continuous nature of the ridge. The broader ruggedness, such as in Roo Rise, does not reflect directly at the Java forearc. However, the anomalies are chaotic and might represent the condition of the rugged subducted plate. The seismicity events at the area of the subducted ridge formed a straight line at the same position where the ridges are assumed to be. Meanwhile, the events on the opposite side of the plateau showed more sporadic distribution, which might indicate the condition of the irregular morphology of the subducted plate.
Geological, geophysical, and geotechnical approaches on the slip surface investigation on Cisumdawu Highway, West Java, Indonesia
Authors: Santosa Imam , Zakaria Zufialdi , Sumaryono  , Mulyadi Eddy , Praja Nia Kurnia , Arifianti Yukni , Patria Cahya 
Published: March 2024

Abstract
This study used geological, geophysical, and geotechnical methods to investigate the causes of landslides in a newly established Cileunyi Sumedang Dawuan (Cisumdawu) Highway, Sumedang Regency, West Java Province. A combination of geological field observation, subsurface geoelectric resistivity-based survey, and borehole drilling were applied to obtain the subsurface data of a research area. A total of 10 boreholes were drilled to collect geoengineering data, including the soil material and N-SPT value for validation purposes. The soil hardness and resistivity were measured and compared to establish the relationship between resistivity and engineering properties. The result revealed that percolating water zone in the permeable loose soil was located above the impermeable layer, estimated as a slip surface. The analysed subsurface measurement and borehole data showed that the depth of the slip surface is between 26-27m. The study is important to determine the mitigation steps for the highway slope stability construction.
Prototyping of Smart School Emergency Tents (SADAR) modular-based for post disaster recovery in education
Authors: Purwanto  , Farihah Siti Nur , Sofiana Eva Indra , Nugroho Laksono Dwi , Irawan Listyo Yudha , Aripriharta  , Fauzan Slamet 
Published: March 2024

Abstract
Disasters in Indonesia caused damage to school facilities and their conversion into refugee camps, so that teaching and learning activities were disrupted. Meanwhile, students still need learning activities such as trauma healing and post-disaster learning continuity. Emergency tents that are not yet effective and efficient do not fulfill the eligibility criteria for teaching and learning activities regarding safety, comfort and conduciveness. They have not utilized alternative energy to support learning activities. A hampered learning system can reduce learning capacity and delay the delivery of material to students. This research aims to create innovations related to post-disaster recovery in the education sector so that learning activities are not disrupted due to disasters. The research method applied is R&D (Research and Development) with a 4D model (Define, Design, Develop and Disseminate). The result of this research is a Smart Emergency School Tent (SADAR) Prototype Model with an effective and efficient installation design. This modular tent uses polycrystalline type solar panels as its power source and a knock-down multifunctional portable table that can be used as a table and bed. The emergency school tent design innovation is made flexible, structured, and can function as trauma healing for students.
Event classification of volcanic earthquakes based on K-Means clustering: Application on Anak Krakatau Volcano, Sunda Strait
Authors: Hasib Mohammad , Nur Bagas Anwar Arif , Baith Huffaz Muhammad Abdurrofi , Muflih Abdullah Mu’adz , Suhendi Cahli , Ghifari Bana Fitro , Adi Hafidz Bagus Prasetyo , Kriswati Estu , Anggono Titi , Syuhada  , Febriani Febty , Dewi Cinantya Nirmala , Prasetio Aditya Dwi 
Published: March 2024

Abstract
It is important to quickly recognize any physical changes in volcanology and accompanying phenomena at each stage of an eruption in terms of mitigating volcanic eruptions. Automatic classification of the type of volcanic earthquake is required, especially since the data recorded by seismic equipment is classified as big data. Analyzing big data manually will take a lot of time. Therefore, we use unsupervised machine learning such as K-means clustering to generate an automated system of classifying the volcanic events based on their waveform and spectrum characteristics. We examine the clustering of volcanic earthquakes at Anak Krakatau volcano, Sunda Strait during June to July 2014. We use one seismic station which is KRA4 to calculate the K-means clustering at Anak Krakatau volcano. We apply unsupervised machine learning such as K-means clustering to classify volcanic earthquakes. We successfully applied the K-means clustering method and found three clusters that represent the volcanic earthquake types based on the characteristics of the waveform in time and frequency domains. We observed different waveform and frequency characteristics for different clusters. The result is Cluster 1 is characterized by rapid increases in a few seconds, then gradual decreases with time, and the frequency dominant range of 4-4.7 Hz. Cluster 2 is characterized by gradual increases in a few seconds, then gradual decreases with time, and the frequency dominant range of 6-6.5 Hz. Cluster 3 is characterized by gradual increases in a few seconds, then gradual decreases with time in longer duration, and the frequency dominant range of 7-7.5 Hz. This study is useful to automatically classify the big data of daily volcanic activity that is generated continuously to mitigate the volcanic hazard.
Preparedness and community knowledge in mitigation landslide disasters in Dieng Kulon, Banjarnegara Regency, Central Java.
Authors: Hidayaht Achmad Nur , Partini Dwi 
Published: March 2024

Abstract
Landslide disasters are an important problem in mountainous areas including in Dieng. To reduce the impact of landslides, a disaster mitigation plan is needed that starts with the knowledge of the people living around Dieng, one of which is from community preparedness in Dieng Kulon Village, Banjarnegara Regency. The results of research on the aspects of knowledge and preparedness for landslides by the community which was carried out using a qualitative descriptive method of four parameters showed that the parameters of knowledge and attitudes, response plans, disaster warnings, and resource mobilization can be concluded that the level of community preparedness on the parameters of knowledge and attitudes is partly the community does not know as a whole regarding the potential for landslides, although the parameters and response to the community in the emergency response in Dieng Village are quite good, the parameters of the early warning system and the level of community preparedness on the parameters of mobilizing disaster resources in Dieng Village are still not good and not optimal because the potential impact of landslides is low and rarely causes casualties, so attention to preparedness for landslides is indeed not fully optimal. Based on these four categories, the community’s overall preparedness for landslides is not yet optimal and needs to be improved because controlling factors and triggering factors are factors that cause the movement of material in the Dieng area to have the potential to trigger landslides in the area.
GIS-Based flood susceptibility mapping in Wawar Watershed, Purworejo Regency
Authors: Damayanti Hidhayah Nur , Wikan Preti Askunala , Annurhutami Fitra 
Published: March 2024

Abstract
Purworejo is one of the regency in Central Java which vulnerable to being affected by flood in rainy season. Wawar watershed is one of the watersheds in Purworejo Regency, the land use in Wawar watershed is dominated by agricultural land so the potential for flooding is quite high in the downstream area. This study aims to determine the distribution of flood-prone locations and classify the level of flood susceptibility that occurs in Wawar Watershed. The method used in this study is data processing on GIS (Geographic Information Systems) using scoring method and weighting of each parameter. These parameters include land use, altitude, rainfall, slope, soil type, and river flow buffers. The resulting hazard map has 3 categories, low, moderate, and high vulnerable level. The results also show that highly vulnerable areas in the southern part of Wawar Watershed that dominated by lowlands area, flat slope, settlement and ricefield land use.
Primary school infrastructure preparedness analysis regarding the hazard of Mount Merapi eruption in Selo District Boyolali Regency
Authors: Sarwono  , Qolbi Muhamad Mahdiyyul 
Published: March 2024

Abstract
Facilities and infrastructure are essential in implementing education and safe spaces in schools. The infrastructure aspect is vital in protecting the school community as an environmental management that ensures the safety of the entire school community against the threat of disaster. This research aims to analyze the preparedness of elementary school infrastructure in Selo District, Boyolali Regency, against the Mount Merapi eruption disaster. The school structure preparedness assessment uses four indicators: structural, architectural, furniture and contents, and other supporting equipment: collection techniques using surveys, observation, interviews, and documentation. The research objects are 12 elementary schools located on the slopes of Mount Merapi in Selo District. The research results show that the preparedness of all schools’ structural indicators is in the high category; in architectural hands, there are eight schools in the high class and four schools in the medium type. Regarding furniture and contents, all schools are in the medium category.
Identification of lava presence on Anak Krakatau volcano using normalized hotspot index before a flank collapse in 2018
Authors: Ramadhani N F , Jumadi J. 
Published: March 2024

Abstract
On December 22, 2018, a catastrophic tsunami struck Anyer Beach in Banten, Indonesia, resulting in numerous casualties and extensive damage to the region. A flank collapse in the southwest sector of Anak Krakatau primarily triggered this tsunami. Intense eruptions and subsequent lava discharges precipitated this collapse. Indonesia’s Vulcanology Geological Hazard Mitigation Center has reported heightened activity at this location since June 2018. Comprehensive field studies, bolstered by remote sensing data, have been pivotal in enhancing our understanding of the behavior of Anak Krakatau over recent years. This research strives to pinpoint lava’s presence in Anak Krakatau during its eruptions. The methodologies employed include the Normalized Hotspot Index (NHI) transformation index combined with the SWIR-1 and SWIR-2 channels of the Landsat 8 OLI imagery. The goal is to elucidate the intense lava flow patterns associated with the flank collapse. Our findings indicate that the NHI can detect elevated lava flow activity in Anak Krakatau. Within the 13 datasets from 2018, lava flow was discerned on seven occasions between July 29 and December 20, predominantly directed towards the southwest sector of the volcano.
The utilization of remote sensing to monitor the spatio-temporal covid-19 outbreak in Jakarta, Indonesia
Authors: Priyati Agnes , Saputra Aditya , Anna Alif Noor 
Published: March 2024

Abstract
The coronavirus cluster was first discovered in a wet market in Wuhan, China on December 31 2019 to be exact. The Covid-19 virus or in medical terms it is called the 2019 Novel Coronavirus (2019-nCoV) spread so fast that it was recorded in June 2021 the Covid-19 virus has infected 178 million worldwide with 3.9 million confirmed deaths. The Covid-19 virus was detected for the first time entering Indonesia on March 2 2020. Spatiotemporal studies are important to do to provide insight into how a pandemic occurs and develops. This study aims to examine Covid-19 spatio-temporally from 2020-2021, calculate the number of victims and calculate the CFR value of Covid-19 in 2020-2021 in DKI Jakarta. The results of this study indicate that the number of positive victims of the Covid-19 virus has continued to increase from April 2020 to December 2021. Meanwhile, the case fatality rate has continued to decline since the beginning of the pandemic until December 2021.
Relationship of knowledge to preparedness students in disaster prone areas of Merapi Mountain eruption (Case study of SMA Negeri 1 Cangkringan)
Authors: Aisa Widya Nur , Wardhani Puspita Indra , Hafida Siti Hadiyati Nur 
Published: March 2024

Abstract
Students should know about preparedness regarding volcanic eruption disasters who live in disaster-prone areas (KRB). This knowledge was obtained by students from disaster mitigation education provided by teachers during learning at school. This study aims to determine the level of knowledge and preparedness of Cangkringan 1 Public High School students who live in disaster-prone areas of the Merapi Volcano eruption and the relationship between knowledge level and preparedness of Cangkringan 1 Public High School students who live in disaster-prone areas of the Merapi Volcano eruption. The data obtained in this study are quantitative data obtained through the filling out a questionnaire by respondents, namely students of SMA Negeri 1 Cangkringan. The research results confirm that: 1). The level of knowledge of students at SMA Negeri 1 Cangkringan regarding volcanic eruptions is included in the good category with a score of 88%. 2) The level of preparedness of Cangkringan 1 Public High School students regarding volcanic eruptions shows good results, or it can be said that students are in a state of readiness with an acquisition percentage of 80%. 3) The correlation, or relationship, between student knowledge and student preparedness results shows positive results with a correlation of 0.424. The results showed a relationship between student knowledge and Cangkringan 1 Public High School students’ preparedness for facing the Merapi Volcano eruption.
Determination of groundwater potential using geoelectricity in Tanah Bumbu, South Kalimantan
Authors: Wibawa Satria Ady , Sasmi Annisa Trisnia 
Published: March 2024

Abstract
This survey was conducted to determine the distribution of groundwater in the Tanabumbu area of South Kalimantan. In this study, we aim to obtain the resistivity of soil layers using the Wenner geoelectric method and his one-pass, two-point dipole-dipole configuration. Field survey data were processed using RES2DINV software. Measurement data results are available in the form of 2D resistivity cross visualizations that are analyzed to determine groundwater distribution. In addition, we performed a comparative analysis of the accuracy of geoelectric measurement results using the results of data with different configurations. Based on the results of geoelectric measurements, we are able to find the aquifer location related to a high probability of groundwater.
Spatial analysis of labor in the brass crafts industry for study non-natural disaster mitigation in Cepogo District, Boyolali
Authors: Pratama R A , Arijuddin B I , Ariseno I A 
Published: March 2024

Abstract
Socio-economic activities such as the handicraft industry have a probability of non-natural disasters such as the Covid-19 pandemic. Workers in the brass handicraft industry have group activities that trigger the transmission of Covid-19 or other non-natural disasters. The brass handicraft industry has developed rapidly in Cepogo District, Boyolali Regency. The purpose of this study is to map the distribution of labor to industrial locations where there is human movement and activity in relation to non-natural disasters. The research method is in the form of field surveys and interviews to determine the socio-economic characteristics of the industrial workforce and the movement of their economic activities. The results of this study indicate that the workforce can be classified based on age, education, and domicile to analyze spatial movements and opportunities for the spread of the Covid-19 disease as non-natural disasters. The spatial pattern of the distribution of domiciles varies greatly, but the movements are concentrated so that the spread of the disease follows this pattern.