bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of an Internet of Things Based Volcano Monitoring System
Authors: Evita Maria , Irham Hamidan , Aminah Nina Siti , Kane Hansel , Srigutomo Wahyu , Meilano Irwan , Setiawan Ari , Suryanto Wiwit , Wahyudi  , Suyanto Imam , Darmawan Herlan , Yasin Mohammad , Apsari Retna , Irzaman  , Perdinan  , Putra Heriyansyah , Djamal Mitra 
Published: October 2021

Abstract
Indonesia has the highest number of active volcano all over the world. There were 63 eruptions with more than 70000 casualties from last year eruptions. To minimize the effect of this disaster, we have developed a volcano early warning system for Indonesian volcano. The main part of the system is volcano monitoring system. A system based on Internet of Things (IoT) has been developed to monitor some activities of a volcano. The physical parameters of these activities are indicated by the changing of temperature, gases (sulphur dioxide and carbon dioxide) concentration, vibration and landslides. The system consists of these parameter sensors, a microcontroller, a solar cell and a Long Range Radio (LoRa) for data transmission to the base station. The system has been tested in laboratory environment for the solar cell, sensors and radio communication. The solar cell could generate 18.81 Volt voltage and 0.23 Ampere current. The temperature sensor has been calibrated for until 51°C measurement (volcano normal condition), while the gas sensor could properly detect the gas until 8 ppm according to the calibration result. After Fast Fourier Transform (FFT) analysis the vibration sensor detected almost zero frequency with 0.168 m/s2, 0.0168 m/s2 and 1.125 m/s2 X, Y and Z axis zero offset respectively. In addition, the landslide had maximum about 4° degraded land slope error. Moreover, only 4% (maximum) percentage error rate (PER) shown by the radio for about 400 m data communication. Furthermore, the physical parameter data acquired then be real-time displayed using Node-red dashboard which can be accessed by the user or other parties who need the information.
Application of UAV (Unmanned Aerial Vehicle) Photogrammetry for Forest Fire Early Detection System
Authors: Evita Maria , Seno Sensius , Zakiyyatuddin Azka , Muid Abdul , Djamal Mitra 
Published: October 2021

Abstract
Indonesia has 15 big potential forest fires locations which destroyed twice the area annually. Moreover, there are almost 20 fire points for each location which increase gradually according to the satellite images of LAPAN (Lembaga Penerbangan dan Antariksa Nasional - National Institute of Aeronautics and Space of Indonesia). Therefore, some monitoring and early warning system for this disaster are needed to minimize the loss and damage of forest ecosystem, smoke exposure to human respiratory system, aviation business, and some forest related industries. Unmanned Aerial Vehicle (UAV) technology could be proposed as the alternative to solve this problem. The forest is monitored by an UAV, in other hand it could be used for image data acquisition to construct 2D and 3D maps for further analysis of the early warning system. The images of sampling location had been taken by an UAV - DJI Phantom 4 Pro which automatically controlled by a flight plan using Pix4D Capture and processed by Pix4D Mapper. The sampling location took place in different areas: near a building, few km squares of campus area consists of building-vegetation combination, and three forest locations in two active volcanoes. The maps with Ground Sample Distance (GSD) under 3 cm/pixel result in under 1% error for X, Y and Z of 2D and 3D constructed maps. The maps also show an important finding where the movement object could be detected, which potential to be applied for fire evolution detection of a forest fire early warning system.
Forest Fire Alert System
Authors: Iqbal Mauludi M. , Aminah N. S. , Budiman M. 
Published: October 2021

Abstract
Recently, forest fire cases have often occurred in Indonesia. Besides efforts to prevent the forest fires, there is also a need for a good mitigation system. Mitigation is an effort made so that the impact of disasters can be minimized. In this research, a prototype of forest fire alert system will be built. This system will be based on IoT and focus on prediction of forest fire positioning. Temperature data as a basis prediction data obtained from the DHT11 temperature sensor which is transmitted by NodeMCU v3 towards Raspberry Pi 3B utilizes the Message Queuing protocol Telemetry Transport (MQTT) will be displayed on a webpage provided by Node-Red Dashboard. The webpage accessible to authorities to take actions needed to deal with forest fires.
The Vulnerability of Settlements in The Areas Impacted by Lapindo Mudflow Disaster, Sidoarjo
Authors: Ekawati June , Sulistyowati Eny 
Published: October 2021

AbstractThe Lapindo Hot Mudflow Disaster is a disaster case that occurred in 2006 in Sidoarjo Regency, East Java, and has become a hot issue at the national, even international level. After 14 years, it turns out that until now the impact of the disaster has not completely subsided. The settlements that were impacted by the mudflow disaster but still inhabited by the community looked vulnerable because many were damaged, cracked and the floors slowly subsided due to land subsidence. This study aims to determine the level of vulnerability of community settlements in areas impacted by the Lapindo mudflow disaster, which uses quantitative analysis methods by collecting data using questionnaires in 3 study villages, namely Glagaharum Village, Gedang Village and Kalitengah Village. The results of research data analysis using scoring techniques using 2 formulas as well as Statistic Descriptives and Means Plots show that the three villages have a moderate level of vulnerability and Kalitengah village has the highest level of vulnerability. The results of data analysis with the Kruskal Wallis statistical test show that the Village Location factor has a significant effect on the Vulnerability Level in this study, which means that the closer the village is to the mud embankment, the level of vulnerability will also increase. From the results of this vulnerability study, data on the condition and availability of disaster emergency infrastructure, which is part of the adaptive capacity variable, still needs to be improved, because it can be a factor in reducing the level of vulnerability to support disaster risk reduction programs and strengthening community resilience to disaster that may arise in the future.
Landslide Disaster Engineering in Tourism Potential Area
Authors: Aji Riswandha Risang , Faniza Visilya , Tarlani  , Damayanti Verry 
Published: October 2021

Abstract
Regional developments in Indonesia have much potential to sustain regional living and environment, especially in tourism. Some regional areas have natural resources such as panoramic landscape, coastal zone, agricultural area, forest, rivers, waterfall, and even natural theme park as their selling point which become a tourism trend. However, these regions also face the risk of the excessive exploitation of natural resources. One of the risks found in the highland region, where the main attraction point is the landscape view, yet it is most likely to be vulnerable to the landslide. To prevent a natural disaster such as landslide, disaster engineering is one of the solutions. This research aims to develop suitable disaster engineering for regional with tourism potential as its main development sector. Certain articles are reviewed thoroughly to get the conclusion of what is the most suitable disaster engineering for regional development. The result of the research shows that disaster risk prevention is the most important aspect and possibly can be done by vegetation, infrastructure, and landscape engineering. In conclusion, regional development that uses natural resources utilisation in the highland region for panoramic-based tourism and landslide disaster prevention must be work simultaneously.
The Coastal Hydrodynamics Analysis in The Lampung Bay
Authors: Achiari Hendra , Nurisman Nanda , Ahmad Ayu Libiaty , Setiawati Endang 
Published: October 2021

Abstract
The waves play a major role in the hydrodynamics of the sea, which they are very influential on human activities in the ocean. Thus, the knowledge of the waves conditions can provide many advantages, this is a challenge for marine experts in modeling ocean dynamics. The coastal area of Lampung Bay is one of the most densely populated areas in Bandar Lampung. The economic situation in the coastal area of Lampung Bay has been developing for a long time, this can be seen from the many old buildings in the coastal area. The existence of extreme waves in Lampung Bay can be as a concern for determining disaster mitigation planning and zoning around Lampung Bay. Based on the result of tidal analysis using the formzhal number equation, it is known that the type of tides in the research sites is mixed (semi-diurnal dominant) tidal type. According to simulating model of the wave characteristics in Lampung Bay, the sea characteristics can be divided into two, namely slight sea for deep waters of Lampung Bay with a wave height of 0 - 1.25 meters, and moderate sea for waters at the mouth of Lampung Bay with a wave heights of 1.25 - 2.5 meters.
Reliability Analysis of Revetments near Canti Pier, South Lampung
Authors: Gelfi Mustarakh , Fauzi Muhammad Aldhiansyah Rifqi , Devina Savna 
Published: October 2021

Abstract
Canti pier is located in Southern Lampung and faces the Sunda strait water areas. Locals use this pier sailing to Sebesi island, and tourists need it as the closest starting point from the mainland to explore Krakatoa’s natural reserve. As a volcano tsunami occurred last December of 2018, Canti was one of the affected locations. Previous study shows measured wave height of 3-7 m in Way Muli and Kahai beach, located around 10 km from Canti. Field observation clearly shows the damaged concrete structure of the T-shaped Canti pier’s end tip due to the tsunami. This research focuses on analyzing the reliability of the north and south revetments of the Canti pier that still exists using statistic and probability methods. Van der Meer’s rock stability formula is adopted as the basis of determining the Limit State Function (LSF). For the reliability method, the FORM (First Order Reliability Method) is applied and produces the probability of failure of the revetment’s system during particular designed service times. The result shows that the northern revetment is relatively more robust than the southern revetment as its probability of failure is slightly lower. The expected failure probabilities are acceptable during regular operation for both revetments (less than 15%). If there is a stormy condition, the chance of collapse south revetment is relatively higher. One could also foresee the total collapse of revetments if tsunami waves attack. This condition also describes the 2018 tsunami wave height in Canti is much lower than in Way Muli since this area is sheltered by some islands, such as Sebuku and Sebesi. To conclude, considering the normal wave condition, the revetment’s structures are still reliable. However, if extreme waves occur, the revetments’ reliability is noticeably low or even unreliable (tsunami waves).
Classification of Rock Mineral in Field X based on Spectral Data (SWIR & TIR) using Supervised Machine Learning Methods
Authors: Pane S A , Sihombing F M H 
Published: October 2021

Abstract
The massive development of science and technology in the industrial era 4.0 includes artificial intelligence, which is purposed to produce research output in the field of geology more accurately and can be completed in a short time using large amounts of data. Machine learning is a part of artificial intelligence that can provide learning processes on computers independently without explicit programming. The process of identifying rocks through classification can be done using machine learning. The study area is in the Manjimup region, Western Australia which consists of Volcanogenic Massive Sulphide (VMS) deposits. This study purposed to determine the classification of rock minerals using accuracy values from the evaluation of models generated using supervised machine learning based on spectral data, namely Short-Wavelength Infrared (SWIR), and Mid or Thermal Infrared (TIR) acquired from electromagnetic spectrum measurements to identify rock mineral features. The spectral data comes from five rock drilling data in the study area. The supervised machine learning method used to determine the best accuracy consists of 5 types of methods, which are K-Nearest Neighbors (K-NN), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), and Multi-layer Perceptron (MLP). Machine learning is completed by supervised method because the research data contains information about label data, which is the type of rock mineral so that it can produce a classification based on the level of accuracy for each type of rock mineral data. The SVM method produces the best accuracy on SWIR data with 82.5% accuracy and the MLP method produces the best accuracy on TIR data with 82% accuracy for rock mineral classification.
Study of Ash and Total Moisture Effects on Calorific Value in Coal Seam at West Banko Field, PT. Bukit Asam, Tbk., Tanjung Enim, South Sumatra
Authors: Amriansyah M A , Sihombing F M H 
Published: October 2021

Abstract
In the coal mining industry, the coal quality is as crucial as the coal quantity because it can impact the coal usefulness. The quality of coal itself can be influenced by several factors, such as moisture content, ash, sulfur, and volatile matter. This study tries to understand the coal quality and its variation in the Muara Enim Formation of South Sumatra Basin. The research was conducted in the West Banko field, PT. Bukit Asam, Tbk., Tanjung Enim, South Sumatra. By using linear regression, this study found that increasing ash and total moisture content will lead to a decreasing amount of the calorific value. Additionally, the value of coal quality content such as ash and total moisture can be affected by the depositional environment, sedimentation rate, and coal characteristics in the study area thus affecting the calorific value. Transitional lower delta plain depositional environment with low sedimentation rate and coarsening upward sandstone sequence indicates lower ash and total moisture content in the study area. The highest calorific value found in the study area is in C1 seam, this can be seen from the ash quality and total moisture distribution map which inversely proportional to the calorific value.
Paleozoic basin indication at south of Papua, Indonesia
Authors: Ramli Taufik , Saleh Hanif Mersil , Nurdiana Indra , Fakhruddin Rakhmat 
Published: October 2021

AbstractEastern Indonesia Paleozoic basin to recent is still an under-explored basin. The study about this oldest sediment sequence is needed to be done because, in Australia, this sequence is already producing hydrocarbon in several basins, known as the Larapintine petroleum system. This paper is subjected to present Paleozoic sediment occurrence in the south of the Papua area, from outcrop, several wells penetrated this unit and from seismic data. Furthermore, this paper aims to construct a geological schematic diagram in the south of the Papua area. Identified Paleozoic rocks in the southern Papua area are Pre-Permian sequence, consist of Otomona Formation (Late Proterozoic–Cambrian), Tuaba Formation (Ordovician) and Modio Formation (Silurian–Devonian), and Aiduna Formation (Late Carboniferous–Permian) from the Permian–Triassic sequence. Otomona Formation was deposited at the submarine fan environment while the Tuaba Formation was deposited in a shallow marine shelf setting. Modio Formation was deposited at shallow marine to shelf environment, and Aiduna Formation was accumulated at deltaic setting. Paleozoic basin occurred from Arafura sea to onshore of southern Papua with a thickness of up to 5 seconds. This unit’s potential trap is the gentle anticline with geometry up to 8 km long and stratigraphic trap top lap with the unit above it.
Structural Control of Primary Tin Mineralization (Case Study: Parit Tiga, West Bangka Regency, Bangka Belitung)
Authors: Oktaviani Alya Dhiya , Dewi Disa Kurnia , Sihombing Felix Mulia Hasudungan 
Published: October 2021

Abstract
Tins are important commodities of metal mineral deposits in Bangka and have been mined since the seventeenth century. The research aims to determine the characteristics of primary tin mineralization in Parit Tiga, West Bangka Regency, Bangka Belitung and the control of geological structures on mineralization. Rock samples were obtained from geological mapping and analyzed using X-Ray Diffraction (XRD), X-Ray Fluorescence (XRF), petrography, and mineragraphy method. From the analysis, the alteration can be divided into four zones: quartz + tourmaline alteration, quartz + halloysite + chlorite + pyrophyllite alteration, quartz + illite alteration, and quartz + kaolinite + chlorite + dickite alteration. The cassiterite, hematite, and pyrite are found in the mineralization zone associated with the greisen deposit. Based on the structural analysis data conducted on the normal left slip fault, the shear stress has an orientation of NE-SW and resulting in the forming of NW-SE gash fractures. These gash fractures have been filled by quartz and the tourmaline as disseminated minerals. The distribution of mineralization and alteration are found adjacent to the sheeted quartz-tourmaline veins. The dominated-tin concentration in ore deposits has the same orientation as the fault structure. These infer that the mineralization and alteration in the research area are controlled by geological structure.
Comparison of Scanline and Photogrammetry Survey for Natural Fracture Analysis, Study Case: Jatiluhur Formation and Subang Formation, Bogor
Authors: Fadhillah F.R. , Bagaskara M.F. , Augusty D.G. , Sihombing F.M.H. , Indraswari A.O. 
Published: October 2021

Abstract
This research tries to compare the result of fracture measurement using the scanline as conventional method and photogrammetry method to understand the advantages of each method. This comparison is important to understand the benefit of using the photogrammetry for fracture study compared to the conventional method. The study area is located at three fractured outcrops of Jatiluhur Formation and Subang Formation at Cipamingkis river, Bogor. Two hundred fracture data from the scanline method and 215 aerial photos were collected for the analysis. The analysis found there are three main fracture sets in the study area, namely the Northwest – Southeast (NW-SE), Northeast – Southwest (NE-SW), and East-West (E-W). When measured at the same location, no significant difference in the orientation of the fracture sets can be found between both methods. However, the two different methods give a significantly different result on the fracture density calculation (P10). This difference was caused by the lithological characteristic variation, where it influences the ability to identify fracture from a distance. Additionally, the photogrammetric method enables the better identification of shear fractures and joints pattern that associated with the fold. Therefore, this study concludes that both methods are complementing each other on the natural fracture study. The scanline method is optimal for fracture density measurement, while photogrammetry is better for identification of fracture orientation and pattern in a relatively larger area.
Preliminary Result : Classification of Soil Using Fundamental Frequency and Vs30m
Authors: Fattah Erlangga Ibrahim , Pratiwie Melda , Januarta Gabrio Hikma , Tohari Adrin , Yudistira Tedi , Gultaf Hikmadhan 
Published: October 2021

Abstract
Geologically, Ngamprah – Padalarang is located above Lembang Fault which stretched from east to west of Bandung, with a length of 29 Km. therefore, to understand disaster risk around the area, a seismic microzonation study is needed. Microtremor measurement has been done in 21 locations around Ngamprah, West Bandung. Microtremor measurement is a passive seismic method that utilizes natural vibration so it can provide a fundamental frequency of microtremor data and can be applied to understand the lithology of the local site area. Furthermore, the fundamental frequency can be used to obtain Vs30m and correlate it to Eurocode 8 for classification of soil type. The result has shown, the fundamental frequency at Ngamprah around 3 – 4 Hz, meanwhile, we found an anomaly of high frequency around 9 – 11 Hz at Cimeta River. Low frequencies correlated to deep sedimentation meanwhile high frequencies may correlated to Lembang Fault Segment Cimeta which cut through Cimeta River and also indicated as slow sedimentation. In addition to that, VS30m obtained from fundamental frequency show around Cimeta river has high velocity (550 m/s) meanwhile at Ngamprah area is low velocity < 400 m/s . High velocity is indicated as very dense sand or very stiff clay meanwhile low velocity indicates deep deposits of gravel or stiff clay with thickness several tens to hundreds of meters.
Analysis of Geomagnetic and Geoelectric Data to Identify the Potential of Gold Deposits (Case Study: Randu Kuning, Wonogiri, Central Java)
Authors: Chaidir Fauzi Yul , Puspita Okta Dwi , Rumahorbo Gilvandro , Hamdalah Hafiz 
Published: October 2021

Abstract
The gold deposit of the low sulfidation epithermal system at the Randu Kuning prospect, Wonogiri, Central Java is the effect of magmatism during the Oligocene due to microdiorite intrusion. The magmatism causes a mineralization process that fills the fractures in the rock. The mineralized of ores that formed in the study area are pyrite, chalcopyrite, sphalerite, galena, electrum and native gold, magnetite and hematite. The appropriate geophysical method to this case study is using the geomagnetic and geoelectric Induced Polarization method. The application of the geomagnetic method aims to delineate mineralized zones and geological structures as channel way for hydrothermal fluids. The results of the geomagnetic method are in the form of a map of Total Magnetic Intensity carried out by filters such as Reduce to Pole (RTP) - High pass (HP) and Horizontal Gradient (HG). The west side of RTP - HP anomaly shows a low response of -4.9 to -0.8 nT due to intensely mineralized rock and the presence of fractures. The comparison between RTP - HP anomaly and HG anomaly shows the suitability due to intense mineralization which reduces the fault anomaly. A high HG value area of 0.001-0.0017 nT/m is interpreted as a mineralized fault. This can be seen from the alteration map which shows the continuity of veins from measurements in the field. The application of the geoelectric Induced Polarization method aims to identify associated mineral of gold vertically subsurface. Based on the results of geoelectric Induced Polarization data shows that there are chalcopyrite minerals at a depth of 20-30 m with a chargeability of 4-9 msec which is located in intrusion of igneous rock with a resistivity >200 Ωm. Based on geomagnetic geoelectric data, it can identify potential gold deposits in the Randu Kuning area, Wonogiri, Central Java.