bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization Method of Surface Ship to Air Combat Deployment Based On Time Window
Authors: Ma Liang , Tian Feng , Shan Hong-yan
Published: July 2020

In order to shorten the response time of surface ships to air combat, improve the efficiency of surface ships’ combat command, and optimize the air combat deployment, a time window index was introduced to model and analyze the time performance of surface ships to air combat deployment. This model used the optimization techniques of fuzzy mathematics and dynamic programming to find the critical path of air combat deployment design. Considering the time urgency of the incoming target, the operational efficiency of the two air combat deployment design modes is compared and verified by taking the priority fire resistance and our minimum resources as the objective function. The simulation results show that the air-to-air combat deployment optimization technology based on time window can effectively simplify the air-to-air combat process and improve the command efficiency.
Scheduling Optimization of Joint Fire Strike of Time Series Targets Based on Grey Target Decision
Authors: Zheng Bao Hua , Ma Liang
Published: July 2020

Aiming at targets in joint fire fighting importance measure accuracy and timeliness of the problem, analyzing the characteristics of joint fire operations and the demand of the important target sequence optimization, based on grey target decision is established on the basis of the sequential hierarchical ordering model, is used to solve the problem of timing target importance. Based on the classification of the combat target system, this model reasonably sets the time series target index weight, and combines the main characteristics of each stage of the joint fire attack, proposes the model algorithm of the classification of the target system. Simulation verification was carried out according to the 6 types of targets of joint fire strike. Simulation results show that the scheduling optimization model based on grey target decision can meet the requirements of real-time operations.
Research on Wireless Charging Intelligent Car Based On Super Capacitor
Authors: Huang Jian , Bai Zichen
Published: July 2020

A wireless charging intelligent car is designed and manufactured. It includes a set of wireless charging device. The car chassis is equipped with a wireless charging receiving device. The super capacitor is used as the energy storage device to receive the electric energy from the transmitting device. The fine wire is used as the guide track, and the capacitance sensor is used to detect the trace of the fine wire. The test results show that the car can charge and drive automatically.
Path Planning Simulation of 6-DOF Manipulator
Authors: Zhang Junhao , Yang Xingbo , Li Yawei , Zhang Ningbo
Published: July 2020

With the development of automation and intelligence in manufacturing industry, industrial robots have become an important part of intelligent chemical plants. In practical application, all functions implemented are realized by manipulator. Facts have proved that reasonable path planning for the manipulator is helpful to reduce the loss and impact of mechanical parts during operation, greatly improve the service life of the manipulator, and also help to improve the control accuracy of the manipulator of the robot. In this paper, the six-degree-of-freedom manipulator is taken as the research object, and the motion path planning scheme of the manipulator is designed, which is verified by PVDF material grabbing simulation experiments. The results show that the motion path of the manipulator designed in this paper takes less time than the shortest path to grab materials, and the operation accuracy is higher.
Classification of Consumer Goods Safety Cases Based on Improved Bayesian Model
Authors: Xu Yingcheng , Feng Wei , Pei Fei , Wang Haiyan
Published: July 2020

Given the shortcomings of traditional multinomial naive Bayesian model, an improved multinomial Bayesian model based on feature weighting is first proposed. Second, in the weight setting of the model’s feature selection items, the TF-IDF algorithm does not consider the distribution of feature items between and within classes, and a range of factors related to word distribution is proposed such as intra-class factors, inter-class factors, document set factors, and normalization factors, then an improved TF-IDF weighting algorithm is put forward. Finally, combined with the case of consumer product safety, the effectiveness and feasibility of the proposed model and algorithm are verified.
Integration of Arts and Crafts in Artificial Intelligence Environment
Authors: Pu Jiang
Published: July 2020

Based on the discussion of the contemporary design and inheritance protection of arts and crafts, and the influence of artificial intelligence(hereinafter referred to as AI) on arts and crafts, this paper makes clear the integration of the two in the historical period of the epoch development and the scientific progress of arts and crafts. From design re-engineering to educational innovation, it promotes the extension of the value and innovative mechanism of arts and crafts, so as to realize its sustainable development in the AI environment.
Optimization Scheme of Hydraulic Fracturing Simulation Experiments using Mixed-level Uniform Design Method Based on the PKN model
Authors: Liu Yimin , Wang Chenghu , Zhou Hao
Published: July 2020

This paper aims at revealing the hydraulic fracturing effect of hydrodynamic influencing factors of fracturing fluid by laboratory experiments. The experimental design for huge number of hydrodynamic influencing factors with many levels, is oftentimes incorporated with the conventional methods, i.e. Based on the PKN model, injection rate, viscosity, and density (of the fracturing fluid) and their parameter values (levels) were considered for the construction of an optimal mixed-level design table U* 12(43×6), which constructed the optimization scheme. The experiments results were subjected to multiple regression analysis to establish optimal fitting formulas for the relationship of single factor or multi-factor with rock fracturing value. Compared with other experimental designs, experimental number of U* 12(43×6) yielded only half the number of experiments in the orthogonal design L24(43×6) and presented better distribution uniformity of experimental points than Ui2(43×6). This paper provides a fast and effective experimental scheme for the effect analysis, as well as a substantially accurate method for in-situ stress measurement.
Shaping and Publicization of Personal Information Spacec of COVID-19 Information Dissemination
Authors: Wang Kailing , Wang Sun , Wang Jun
Published: July 2020

With the rapid development and evolution of network information technology and ‘we media’, individuals have realized that "everyone is a communicator." Individuals expose their lives to the public’s vision through the Internet, and realize the publicization of personal space. During the epidemic, Chinese people were enclosed in the private activity space of the family. The epidemic-related information was transmitted to the general public through various media to create a personal information space for the public. The public personal information space presents new characteristics. Into a new research topic.
Measuring Economic Growth Differentiation of Emerging Economies Based on Calculation of Theil Index
Authors: Li Jing , Chen Ye , Xie Zhihai , Zou Xinlei
Published: July 2020

The purpose of this paper is to select 35 emerging economies from Asian, European, Latin American and African regions as the research objects and use GDP and population data of the years from 1990-2016 to calculate the intragroup Theil indexes within the four individual regions, the interblock Theil index among the four regions, the total Theil index among the emerging economies, then the contribution of intragroup and interblock gap to the total gap in order to measure the economic growth differentiation of the emerging economies. The results indicate that the decreasing total Theil index and the interblock Theil indexes reflect the narrowing trend of output per capita among the emerging economies and among the four regions, the intragroup Theil indexes within the four individual regions that are all lower than Asian region reflect that the gap of output per capita in the Asian region is larger than the other 3 regions; according to the contribution rate, the total gap of output per capita among the emerging economies is mainly affected by the gap among the four regions and the Asian region. It can be concluded that the economic growth differentiation is embodied mainly in the gap among the four regions and in the gap among the Asian economic economies.
Prediction of Poor Students’ Classification Based on Adaboost Algorithm Integrated Learning Model
Authors: Li Wang , Jiao Guie
Published: July 2020

Aiming at the problem of identifying the poor students in colleges, based on the improved classification imbalance, this paper proposes to establish the AdaBoost algorithm integrated learning model for the first time to solve the problem of identifying the poor students in colleges. In this model, decision tree is used as weak learner, and principal component analysis algorithm and balance cascade algorithm are used to reduce dimension and undersampling data. At the same time, the paper focuses on the comparison of the algorithms that choose the effect of sample set classification as the weight(SAMME.R) and the size of the prediction probability of sample set classification as the weight(SAMME). Experiments have proved that the AdaBoost ensemble learning algorithm model is better than the single classifier algorithm in predicting the results, which can ensure the fairness and objectivity of the recognition results, and has a strong application value for the recognition of poor students in colleges.
Research on the Tourism Resource Protection Model and Sustainable Development of Tourism Industry in the Information Age
Authors: Gao Fang
Published: July 2020

The protection of tourism resources is an important prerequisite for the sustainable development of the tourism industry, and it is gradually valued by market participants and their government management. This article proposes five tourism resource protection models based on the tourism resource protection subject and tourism product pricing mechanism, and compares and analyzes the tourism resource stocks and social welfare levels under the five tourism resource protection models through numerical simulation methods. Research shows that both private governance and government governance monopoly pricing mechanisms are superior to fully competitive pricing mechanisms, and the proportion of governance funding input or income tax rate decreases with the same level of pollution degradation.
Intelligent Air Control System Based on Single-Chip Microcomputer
Authors: Wang Yu
Published: July 2020

This article designs an intelligent air control system and regard AT89C52 MCU as control core. We can set the ideal temperature and ideal humidity through the keys. Collect signal by a variety of sensors and transmit signals to the single-chip microcomputer. The most important thing is to use PID algorithm to control. Specifically, combined with PID algorithm, the single-chip microcomputer accurately control the output of the relay. At last, the relay drives the corresponding load on the purpose of changing the indoor temperature, humidity, gas quality. Besides, there are an alarming system by sound and light.
Ecological Economic Development Based on Supply Chain in the Era of Big Data
Authors: Shen Lei
Published: July 2020

Under the background of the active development of ecological economy in China, the transition from traditional supply chain to ecological supply chain has become a new topic of supply chain management. The use of big data technology is not only an inevitable choice for supply chain, but also an important guarantee for the development and innovation of supply chain. The purpose of this paper is to study the ecological economic development based on supply chain in the era of big data. This paper firstly analyzes and studies the development problems of enterprises in the supply chain, and expounds the significance of applying big data technology to ecological supply chain. Then it introduces the connotation and composition of ecological supply chain. Then, based on the gradient promotion decision tree algorithm, a cost sensitive xgboost algorithm, called cs-xgboost algorithm, is proposed in this paper. The experimental results show that it is of practical significance to apply the decision tree algorithm proposed in this paper to the risk prediction of ecological supply chain. In this paper, AUC and ACC are used as performance indicators to test the cs-xgboost algorithm, and the value of AUC of the algorithm is 0.9.
Spatial model of air surface temperature using Landsat 8 TIRS
Authors: Wibowo Adi , Yusoff Mariney Mohd , Adura Tengku Adeline , Wibowo Adi , Supriatna  , Hakim Zaini Lukmanul
Published: July 2020

Over the past decade, the global temperature rise has become a hazard in the world. The UN Intergovernmental Panel on Climate Change (IPCC) released Fifth Assessment Report that the end of this century will increase 1-2°C in global mean temperature. Malaysia and Indonesia, which observed more than 30 years had increased temperature by 1°C, and this result in line with (IPCC) released Fifth Assessment Report. The research objective to analysis spatial-temporal of air surface temperature model. The spatial model air surface temperature generated from Landsat 8 OLI/TIRS. The research has shown the spatial-temporal change 2013-2018 for air surface temperature. The critical result is trend 2013-2018 with maximum temperature >30°C with increased 1°C. Finally, this research concluded that a spatial model of air surface temperature using Landsat 8 in the tropical country could be a spatial model of Air Surface Temperature.
Land suitability analysis for global mangrove rehabilitation in Indonesia
Authors: Syahid N , Sakti Anjar D. , Virtriana Riantini , Windupranata Wiwin , Sudhana Sonny A , Wilwatikta Felia N , Fauzi Adam I , Wikantika Ketut
Published: July 2020

Mangrove has an important role not only for ecosystem services such as erosion control and water purification but also for human life. For instance, mangrove has been satisfactorily saving people from the ocean such as storm surge or tsunami. However, mangrove population has fallen for about a fifth over these 25 years. Therefore, rehabilitation and restoration of mangrove are essential to be taken to overcome mangrove loss. Nonetheless, in several areas, while doing the rehabilitation mangrove, some species of mangroves failed to survive due to several parameters that were not suitable for them to grow. Hence, this research aimed to determine suitable sites for mangrove life in Indonesia globally. This research used several parameters which were: elevation, slope, air temperature, and precipitation, to measure the suitable sites. The result shows that 62% from the total area (99,773 ha) of coastline in Indonesia are suitable for mangrove to grow included 59% is suitable class (95,347 ha) and 3% is perfectly suitable class (4,427 ha), while the unsuitable class has 38% (61,616 ha) from the total area. Furthermore, in some areas, the decreasing number of suitable land for mangrove was related to the increasing number of mangrove deforestation.
Above-ground biomass estimation of mangrove forest using WorldView-2 imagery in Perancak Estuary, Bali
Authors: Utari Dian , Kamal Muhammad , Sidik Frida
Published: July 2020

Global warming is the important issues because is caused by the concentration increase of greenhouse gasses in the atmosphere. Mangrove ecosystem has a function to reduce climate change through carbon sequestration. Estimates of biomass can be done through an approach from the value of vegetation biomass. Allometric equations method is used for calculating biomass values. Remote sensing technology is used for mapping mangrove ecosystems to determine the spatial distribution of mangrove biomass that is WorldView-2 (WV-2) image. Transformation of the vegetation index are Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) are used to estimate of mangrove forest biomass. The aim of this study is to determine the most accurate vegetation index in estimating the mangrove above-ground biomass (AGB) value. The field biomass data was obtained from mangrove tree diameter at breast height (DBH) measurement. Using the allometric equation, the field AGB can be calculated. A regression analysis between field biomass and WV-2 image pixel value was performed to build regression function to estimate the mangrove AGB. The results of this study show that the SAVI provided higher accuracy for mangrove AGB estimation with R2
of 0.4125 and resulting the AGB value between 1124.81 to 4499.25 kg/m.
Application of remote sensing and analytical hierarchy process (AHP) for developing landslide vulnerability zone in Boja District, Kendal Regency, Central Java Province
Authors: Prayudi S D , Trisnawati D , Putranto T T , Najib
Published: July 2020

Landslide is one of geomorphology process that can be a natural hazard for humans. An area has internal parameters that can cause landslide occurrences such as slope, lithology, rainfall, and hydrology. Furthermore, human activities can increase susceptibility for the landslide. Thus, the landslide vulnerability mapping is required to obtain potential of landslide susceptibility of an area. The study area is located in the Boja District. The goals are to determine the weight of internal factors which can cause vulnerable for landslide and to develop vulnerable landslide zone. The methods were remote sensing analysis using Digital Elevation Model (DEM) data and Analytical Hierarchy Process (AHP) to define the weight of internal parameters which cause a landslide. The results show that there are three levels of the vulnerable zone i.e. low, moderate, and high vulnerable levels of the landslide.
The influence of water balance in mangrove forests growth to mangrove’s degradation and depletion, case study: Southeast Asia
Authors: Wilwatikta F N , Sakti A D , Syahid L N , Wikantika K
Published: July 2020

As natural drivers of mangrove forests’ degradation and depletion, mangrove forests’ water balance, as the ability of them to absorb and release water, which is related to mangrove’s coefficient growth, also makes an impact to those circumstances. The intention of this research is to identify the mangrove growth coefficient that used to analyze mangrove’s water balance and to identify the influence of mangrove’s water balance from mangrove’s depletion and degradation. The research is situated at Southeast Asia in 2000 and 2012. As a proxy for mangrove coefficient growth, MOD13A1 V6 satellite imagery that provides vegetation index values were used and will be multiplied by using the linear regression model that establishes the relationship between vegetation index and mangrove coefficient growth. The procedure for quantifying the mangrove’s water balance is carried out by multiplying the mangrove coefficient growth with evapotranspiration data derived from MOD16A2 V5 and then deducting it by precipitation data from CHIRPS V2. The results presented will confirm how these parameters influence the mangrove’s water balance and influential or not against the mangrove’s lost.
GEOBIA for mangrove mapping using UAV-modified NIR 1 camera sensor
Authors: Khakhim N , Marfai M A , Putri R F , Wicaksono A , Lazuardi W , Isnaen Z , Walinono T
Published: July 2020

Mangrove ecosystem is a natural resource that can be beneficial for coastal community. One of its benefits is it can be utilized as an ecotourism spot such as Baros Mangrove Conservation Area in Kretek, Bantul. Hence, mangrove ecosystem must be conserved or expanded if possible. The first step to conserving mangrove ecosystem is to map its existing condition. UAV can be used to acquire a high-resolution imagery quickly. With modified near-infrared (NIR) sensor from a pocket camera can produce three band i.e. NIR, green, and blue that can be used to calculate several vegetation indices such as Simple Ration (SR), Normalized Difference Vegetation Index (NDVI), and Enhanced Difference Vegetation Index (ENDVI). Those bands and vegetation indices then used to map mangrove using Geographic Object-Based Image Analysis approach. The result indicated that high-resolution imagery from modified NIR camera sensor can be used to detect mangrove and distinguish it from other object using supervised classification. The digitally classified imagery then compared to manually digitized mangrove map to calculate the total error of the map.
Land surface temperature analysis based on land cover variations using satellite imagery
Authors: Himayah Shafira , Ridwana Riki , Ismail Arif
Published: July 2020

The remote sensing satellite sensor can not only record the visual appearance of the earth’s surface characteristics but also can capture phenomena that cannot be seen by a human, such as the earth’s surface temperature. Bandung is located at a basin-shaped area and has a variety of land cover, natural and man-made. The diversity of land cover is indicated to have an effect on the characteristics of the land surface temperature recorded by satellite sensing sensor. This assumption then examined by considering the land cover type and the value of land surface temperature as its parameters. This research aims to: 1) Estimating the land surface temperature with digital image processing, 2) Visual interpreting of land cover type based on land surface temperature similarity, and 3) Analyze the level of land surface temperature with a variation of land cover type in the south-western part of Bandung Basin. The visual interpretation method was used to obtain a land cover type with high-resolution image. Whereas the transformation of the Landsat 8 thermal band index is used to acquire the land surface temperature. An analysis was carried out to observe the results of land surface temperature estimation and land cover based on land surface temperature resemblance. Then it is expected to be a consideration in terms of determining policies regarding conversion of land cover from natural to artificial forms indicated as a contributing factor to rising land surface temperatures.
Stream order selection for model generalization of the topographic map of Indonesia
Authors: Hidayat Fahrul , Purwono Nugroho , Susetyo Danang Budi , Hariyono Mochamad Irwan , Rizka Tia , Rachma Nuzula , Windiastuti Rizka
Published: July 2020

The importance of stream networks is related to other features in the topographic map e.g. as weighted-parameter for contour derivation. The generalization of these features needs complex parameters specifically geometrical and conceptual aspects. Geometric parameters consist of stream length and vertices, while the conceptual part handles stream networks connectivity as logical consequences. Stream networks selection is a type of important step on map features analysis and in map databases. This paper proposes a new approach for stream networks generalization of Topographic Map of Indonesia (as known as RBI) for 1:5,000 to 1:25,000 of scale by using geometrical and conceptual parameters. Three stages used in this research were: data pre-processing (include resolving the topological errors), generating stream order (1:5,000 of scale as an input), comparing stream order algorithms (Strahler, Scheidegger, Shreve, and Drwal), and performing feature similarity-based analysis (comparison of stream ordering results and 1:25,000 of scale). The research resulted four different stream orders and eight different similarity-analysis values since each algorithm was tested in two scenarios (in 1st scenario, order > 1 were selected while in 2nd scenario, order > 2 were selected). Eventually, after comparing those results, the Scheidegger method obtained the highest similarity value in on both 1st and 2nd scenarios. Further, generalization by using stream order selection delivered the representation of river in constructing map elements of RBI.
Early study of magnetic permeability and magnetic susceptibility of peat in Ogan Komering Ilir, South Sumatera, Indonesia
Authors: Anisah  , Marpaung F , Purwandani A , Nugroho D , Sumargana L
Published: July 2020

Increasing peat fire in Indonesia have encouraged government or research institutes to develop an early warning system. This system needs various parameters in order to have an accurate result. Magnetic permeability and susceptibility are the physical properties of peat which expected to support this system. Field and laboratory measurements were conducted to determine the relationship between the peat temperature rise and the physical properties of the peat. A total of 30 samples was collected from Ogan Komering Ilir (OKI) Regency, South Sumatera, Indonesia. Each sample was tested with a temperature rise of 20°C until reach the convergent temperature. Statistical analysis were then performed. The results show that the magnetic permeability correlate with the peat temperature but the coefficient of the linear regression model is very small, with the constanta of 1.0022 from the linear regression model. In addition, magnetic susceptibility have a small correlation and a small determination coefficient with temperature. Therefore, it indicates that magnetic susceptibility can’t support this system.
Oil spill contingency plan (OSCP) by environmental sensitivity index (ESI) analysis at East Barito District, South Barito District and Kapuas District (Tamiang Layang, Buntok and surrounding area), Central Kalimantan Province
Authors: Hernawan Undang , Risdianto Rahayu Kusuma
Published: July 2020

The central Kalimantan has envolved into a new oil and gas industry area where potential impact on environmental need to be anticipated comprehensively for environmental protection from oil spill. The locations are East Barito District, South Barito District and Kapuas District (Tamiang Layang, Buntok and surrounding area), Central Kalimantan Province. The main problem of this study is determining areas of sensitive and vulnerability to oil spill. The aims of study were to identify the factors and components that affect the level of ESI to oil spill and analyse and establish environmental sensitivity rank for oil spill contingency plan. The methodology of study carried out by identifying and assessing each landuse unit and analyse performed by GIS method with ESI formula. Interpretation and classification of landuse used Landsat TM imagery that acquired in 2014 and updated in 2018 and field survey in October 2014. The result of analysis showed environmental sensitivity index divided into four categories, dominated by high sensitive (40,8%) due to the presence of protected and conservation forest, less sensitive (31,9%), moderately sensitive (14,6%), and insensitive (12,8%). General condition of study area is lowland and swamp area and potential to flood. The environmental protection from oil spill should be mitigated and prioritized for sustainable development.
Precise topographic mapping using direct georeferencing in UAV
Authors: Syetiawan A , Gularso H , Kusnadi G I , Pramudita G N
Published: July 2020

Mapping using UAV has become very popular today due to the rapid development of electronic technology. UAVs are needed to support rapid mapping activities, such as natural disaster management, SAR applications, agricultural applications and forest fire monitoring. In addition to spatial resolution, it is also needed the accuracy of position accuracy. In general, the georeferenced process of aerial photo processing uses Ground Control Points (GCP) from GPS measurements. The disadvantage of using GCP is that GPS measurement takes a long time and the costs incurred are relatively more expensive. For this reason, certain techniques are needed to produce topographic maps with more efficient times. Direct Georeferencing on UAV is an aerial triangulation technique without the use of ground control points (GCP). Direct Georeferencing techniques will cut field surveys and produce high accuracy topographic maps. The hope is that by using this technique, the measurement of tie points can be as minimal as possible and do not even need to use a control point. This study is to evaluate Direct Georeferencing techniques in UAVs to produce accurate topographic map. Aerial photo using multi rotor UAV DJI Phantom 4 RTK/PPK. This multi rotor is equipped with a high accuracy GPS antenna and that is capable to storing GPS observation data. Photo coordinate processing using the Post Processing Kinematic (PPK) method. Accuracy of ortho rectification results of aerial photo geometry compared to check point coordinates (CP). The test results of horizontal accuracy indicate the value of 0.040 m using Circular Error 90% (CE90). Based on BIG standard the accuracy of the base map, these results can be entered on a scale of 1: 1,000 class 1. Direct Georeferencing techniques in UAVs produce high accuracy maps for relatively not extensive mapping areas.
Preliminary study on validation of HIMAWARI-8 data with ground based rainfall data at South Sumatera, Indonesia
Authors: Meliani F , Sulistyowati R , Permata Z D O , Sumargana L , Amaliyah R , Purwandani A , Putrantijo N , Ramadhan A R
Published: July 2020

An accurate rainfall data has an important role in the Indonesia Fire Danger Rating System (Ina-FDRS) which has been developed by PTPSW – BPPT since 2017. Continuing the previous study, during wet and dry season, an accurate rainfall data becomes one of the important inputs and has big impact on the Ina-FDRS. Unfortunately, surface rainfall data from AWS and ARG have limited availability especially on the spatial resolution data, therefore Ina-FDRS will use HIMAWARI-8 rain rate data as an input. On the other hand, satellite rainfall data also has limitation on the accuracy, HIMAWARI-8 detects top cloud temperature, then by using IMSRA method to calculate rainfall values. This preliminary study aims to validate rain rate from HIMAWARI-8 satellite image data with ground-based rainfall data from AWS/ARG during fire and non-fire period, from 1 – 31 August 2015 and 15 April – 15 May 2018. Afterward, we will use the validated rainfall data as an input for Ina-FDRS.
Assessing the effect of various training and testing set ratios to model the satellite derived bathymetry
Authors: Dewi R S , Lumban-Gaol Y , Safi’I A N , Rizaldy A , Syetiawan A , Rahadiati A
Published: July 2020

Depth determination in shallow water area is critical to model for instance, a detailed shoreline position, a change in beach topography, and the potency of beach erosion. Multispectral images can provide a complete map of areas that are difficult to map by conventional hydrographic surveys due to their logistics difficulties and limited spatial coverage. The aim of this study is to evaluate the effect of various training and testing set ratios to model bathymetric data from remotely sensed imagery. This research applied three methods to derive shallow water bathymetric data tested on two subsets located along Tanjung Kelayang coastal areas. The methods combined echo-sounding measurements and the reflectance of blue, green, red and near infrared of Sentinel 2A image with 10 m spatial resolution. In the experiment, the echo-sounding data set was split into training and testing set in three different ratios to see the effect of these various training and testing ratios to the accuracy of all algorithms. From the results, we can see that all models perform well in estimating bathymetric data for the shallow water depth, however, the accuracies were slightly changing by the variation of the training and testing data included in the model. In general, all methods provide a comparable performance for shallow water depth with RMSE less than 1 m and can be used effectively for deriving accurate and updated medium resolution bathymetric maps.
Spatial analysis of rice phenology using Sentinel-1 and Sentinel-2 in Karawang Regency
Authors: Supriatna  , Rokhmatuloh  , Wibowo A , Shidiq I P A
Published: July 2020

Karawang Regency is the top rice producer within West Java, Indonesia. Accurate information about the number of harvest area is essential in rice production in Indonesia. The Sentinel imageries (Sentinel-1 and Sentinel-2) which have a spatial resolution of 10 meters can provide spectral information on the earth surface in relatively narrow temporal resolution. The study aims to spatially analyze the rice field phenology using Sentinel-1 and Sentinel-2 imagery and estimate the rice productivity in Karawang Regency. The study used Synthetic Aperture Radar (SAR) Sentinel-1, with the C-Band, which are capable of monitoring rice phenology and Sentinel-2. The combination of polarization from SAR and vegetation index algorithm from the optical image are used to determine the age of rice plants, which then used to estimate rice productivity. The stage of rice was land preparation, vegetative, generative, and harvesting. The result from the estimation of harvest area is between 102,965.00 - 109,338.27 hectares, and the estimation of rice productivity is 5-6 tons/hectares in Karawang Regency.
A fusion of digital elevation model based on interferometry SAR technique from ascending and descending path in urban area
Authors: Arief Rahmat , Dyatmika Haris Suka , Suhermanto  , Ali Shadiq
Published: July 2020

The height of the earth’s surface can be measured using synthetic aperture radar (SAR) images using interferometry (InSAR). The InSAR method uses phase information to produce the height of the earth’s surface. The accuracy of the DEM produced by InSAR depends on the shadow, the layover area, and the coherence of two SAR data. This paper proposes a technique for combining DEM derived from the InSAR method from ascending and descending paths using high resolution TerraSAR-X/TanDEM-X. Generating DEM was done by the InSAR method which covers the same test area and came from one pair of ascending TanDEM-X images and one descending pair of TerraSAR-X. The combination of the two DEMs from the ascending and descending path has been done by assessing the weighting factors so that the accuracy of the DEM can be increased. The weighting factors are calculated from the height error map, layover and shadow map. The height error map is calculated from the interferometric coherence with geometrical considerations and the layover and shadow map is calculated using TerraSAR-X/TanDEM-X DEM. The images pairs with 33 angles and 37 degrees were used in this study for the InSAR method in urban areas (Jakarta city). The experimental results show a significant reduction in missing pixel counts due to layover, shadow and low coherences after combining.
Profile of dielectric constant of peat in Ogan Komering Ilir Regency, Indonesia using SAR Sentinel-1 and ground penetrating radar
Authors: Marpaung F , Sumirah  , Sumargana L , Nugroho D
Published: July 2020

Profile of dielectric constant of a substance or a surface indicates its electromagnetic parameters. The profile is associated with electric polarization, permeability with magnetic polarization, and conductivity with an electric current field. In the practice, the Synthetic Aperture Radar (SAR) and the Ground Penetrating Radar (GPR) are commonly utilized to determine how much velocity of a substance and its scattering profiles. However, information about the profile radar scattering mechanisms in tropical peatland is still limited. Therefore, we evaluated dielectric constant from the field using GPR and estimated its spatial variation from a dual-polarization Sentinel-1A type C-band SAR in Ogan Komering Ilir, South Sumatera Province, Indonesia. We measured dielectric constant at the two major types of land use, namely oil palm and acacia. Results indicated that the dielectric constant derived from SAR Sentinel-1A and GPR are affected by peat moisture. It increases as the peat moisture increases. Results show that during peat dry conditions, the profiles of dielectric constant derived from dual-pol Sentinel-1A images are relatively similar to the dielectric constant of peat in Siak Regency. It ranges between 31.78 and 59.3. The dielectric constant derived from GPR ranges between 69 and 70.
Utilization of google maps for depicting landslide pattern in Indonesia
Authors: Sukristiyanti S , Wikantika K , Sadisun I A , Yayusman L F , Pamela P
Published: July 2020

The historical landslide data in GIS (Geographic Information System) environment is valuable to estimate pattern in landslides distribution and frequency, which are useful for landslide hazard analysis and mitigation. By using the landslide reports released officially by The National Agency for Disaster Management (BNPB), those non-spatial data need to be converted into the spatial ones. The reports primarily contain location, date of event, impact and triggering factor. This study is exploring Google Maps which is a web mapping service to process the historical landslide data of Indonesia. By preparing historical landslide data in the form of spreadsheet, Google Maps directly can change the whole data into a custom map ‘landslide distribution map’. The attribute can be edited, the map can change interactively, and vice versa. The appearance of the custom map can be styled by a certain column so its statistical information comes up. A landslide distribution map produced in Google Maps can be shared to others and can be exported as a GIS layer for further analysis. This article shows the utilization of facilities provided by Google Maps to prepare and analyse the landslide inventory map.
Geometry accuracy analysis of the three-dimensional model using the close-range photogrammetry method for conservation object of culture (case study: Cow Statue, Faculty Of Livestock, Diponegoro University)
Authors: Prasetyo Yudo , Bashit Nurhadi , Silaen Billy
Published: July 2020

Conservation of cultural objects in the form of maintenance and protection to keep objects from damage and authenticity important. Documentation using a three-dimensional model (3D model) is a cheap, effective and relatively fast solution. The documentation results in the form of a three-dimensional model, which itself must have a good fit of visuals and geometry. The purpose of this study was to analyze the geometry accuracy level and the suitability of the three-dimensional model of physical objects using the close-range photogrammetric method (CRP). This study, using a non-metric camera, namely a DSLR camera to take photos of objects simultaneously and thoroughly according to the CRP concept. The results of the photos are processed based on near-range photogrammetric methods using the VisualSfM technique in point cloud creation followed by Meshlab in making three-dimensional models. The results showed that the shape and color of the model were quite good but still had some rough areas due to a lack of point cloud data. The level of color suitability of the digital model is quite good with several colors in coarse-textured areas that look less suitable for physical objects. The suitability of the geometry of the model through the difference in distance between the test points has an average of 3.524 mm and a standard deviation of 2.989 mm.
Pseudo height anomaly over Indonesia in respect of GRACE gravity
Authors: Sarsito Dina Anggreni , Bramanto Brian , Andreas Heri , Pradipta Dhota , Syahrullah Muhammad
Published: July 2020

This paper presents an overview of the recent height anomaly over Indonesia region in respect of Global Geopotential Model 2008 (EGM2008) which known as the most advance Global Geopotential Model. Recent height anomaly over Indonesia computed from Gravity Recovery and Climate Experiment (GRACE) satellite mission long term static solution using Bruns’ formula with degree and order up to 180. The results indicate that the deviation between geoid undulation with pseudo height anomaly deviation vary up to 12 meters with the largest deviations occur in several zones. Further investigation still needed to deduce the causes of the high height anomaly deviation that occur in several places in Borneo, Celebes and Papua, whether it is caused by a large compression forces or any other.
Modeling vulnerability density of landslide using IFSAR DEM in Manuju and Bungaya District Gowa Regency, South Sulawesi
Authors: Johan Eden T. , Alimuddin Ilham , Azikin Busthan
Published: July 2020

Recently in Indonesia landslide is one of major natural disaster that claims lives and property. Therefore it is necessary to have a Landslide Vulnerability Zone Map to improve the accuracy of natural disaster risk analysis and mitigation needs by using IFSAR DEM. Generally, Gowa area contains with moderate to strong undulating topography is very often created landslide issue. Parameters are used to analyze the landslide zoning are lithology, slope, slope aspects, distance from faults, distance from river, distance from road, land cover, slope length, rainfall, soil type, and curvature. Each parameter map and landslide map were integrated to compute the value of density and landslide occurrence percent obtained in different units from each of the maps. Determination by using all parameters above showing accuracy value of 89,4% where 85% area on past landslides occurred on very high hazard zone and 12.92% occurred on high hazard zone, meanwhile selected parameter accuracy value is 98,5% where 85% area on past landslide event occurred on very high hazard zone while 12.92% occurred on high hazard zone. Parameter selection can improve the accuracy of landslide zoning on the research area.
Calculation of rice field embankment coefficient using high-resolution satellite imagery
Authors: Sutanta Heri , Gunawan Ajeng Ramdhani , Wibisono Yusuf
Published: July 2020

Estimating rice production is vital in ensuring economic stability. One of the critical element in the estimation is the information on the width of the rice field. The uncertainty on this aspect is exacerbated by which the rice field is calculated. The current method only considers the width of the fields, without taking into account the rice field embankment. The width of the embankment is usually between 25 cm to several meters. Neglecting the contribution of this embankment to the overall width of the rice fields can result in overestimation to the rice production. In this research, the coefficient of rice field embankment is calculated. The data used are from high-resolution satellite imagery of Pleades, SPOT-6, Worldview, and GeoEye. UAV data from rice fields in Yogyakarta was used as control data. The study area covers rice fields in Bengkulu, Jambi, Riau, Bangka Belitung, Sulawesi Tenggara, Sulawesi Barat, Sulawesi Tengah, Gorontalo, Maluku, Nusa Tenggara Timur, and Papua. Two types of digitization methods were used. The first one is a rice field without any embankment incorporated. Only road or irrigation channel wider than 2.5 meters were included. The second one is a rice field with embankment feature digitized. The coefficient of the embankment is calculated by dividing the width of the embankment with the width of rice fields without embankment. For a different location, the coefficient is different, between 1% - 3 %. Types of rice fields, satellite imagery being used, and topography affect the coefficient.
Suitability model using support vector machine for land use planning scenarios in Java Island, Indonesia
Authors: Safitri S. , Sumarto I. , Riqqi A. , Deliar A. , Norvyani D A , Taradini J.
Published: July 2020

Java Island has experienced rapid population growth in the past four decades. Along with population growth, human needs are also increasing. This is also driven by economic and social growth. However, land resources to meet population needs are becoming increasingly limited. Human needs change ecosystems by creating ecological pressures, such as land cover change, resource extraction and depletion, and emissions pollution. Thus, sustainable land use planning is needed to meet human needs in the future. Furthermore, It is necessary to consider the suitability of the land in land use planning. In this paper, a suitability evaluation method was developed, which synthetically considered the topographic, meteorological, ecoregion, and water supply conditions. The suitability evaluation model is developed using Support Vector Machine (SVM) to classify various designations. SVM training algorithm aims to find a hyperplane that separates the dataset into a discrete predefined number of classes in a fashion consistent with the training examples. The term optimal hyperplane is used to refer to the decision boundary that minimizes misclassifications, obtained in the training step. Model calibration and validation were performed based on the land-use status in 2016. Subsequently, the validated simulations were conducted based on the planning scenarios. This model is expected to be implemented in the short-term and long-term land planning scenarios, respectively. This study provides a synthetic suitability evaluation method for creating a land-use planning scenario, which overcomes the shortcoming of the traditional way of assigning land-use scenarios that being lack of objectivity.
As-built drawing generation of LFM building ITB using terrestrial laser scanner
Authors: Gumilar I. , Hawaari T. , Sidiq T.P , Lukmanulhakim A.
Published: July 2020

The LFM ITB building, which was built in 1939, needs to be renovated in some or all parts of the building without removing the existing characteristics and philosophical values. Therefore, renovations must refer to the building’s as-built drawing documents. As-built drawings can be made using Terrestrial Laser Scanner technology. TLS technology will be the main component in making the three-dimensional model of the LFM Building which will later become a reference in making as-built drawings. The purpose of this study is making 3 dimension model and as-built drawing of LFM building from TLS data.

In this research, Building LFM modeling uses data from measurements using TLS. Data is processed through a registration process to unify all data. The average value of registration errors is 0.006 meters. The noise removal process removes unused data. The modeling process is carried out to produce a solid model that represents the shape of the LFM Building in the field. The results of the three-dimensional model will be used as a reference in making as-built drawings that include floor plans, visualizations, and building pieces. The results of the registration are then validated by using a distometer for vertical distance and measuring tape for horizontal distance. Vertical distance validation has the largest value of 0.012 meters and horizontal distance has the largest value of 0.011 meters.
Determining recharge groundwater using delineation of morphological surface in Ligarmukti karst area Bogor Regency
Authors: Maria Rizka , Purwoarminta Ananta , Lestiana Hilda
Published: July 2020

The Ligarmukti area is one part of the Klapanunggal karst hills in Bogor Regency. This area relies on springs as the fulfillment of raw water. It is feared that the limestone mining process in this area will damage groundwater recharge areas. This research was conducted to determine groundwater catchment areas in the Ligarmukti karst area. The method used is the morphological lineament delineation analysis of SRTM imagery compiled with the results of investigations in the field. Based on the results of delineation, the SRTM image was able to detect 76 alignment patterns in the direction of N 28° - 235° E. The fracture location was mostly located at elevation 280 - 700 m. The difference in direction of the alignment pattern is not too far away, so it is interpreted that the groundwater recharge pattern in the secondary porosity is derived from an aquifer system. The main catchment zone is at an altitude of 440-700 m above sea level in the hills with limestone constituent Klapanunggal Formation. The infiltration system in this area is an autogenic recharge, ie the recharge occurs in areas with relatively homogeneous rocks in the form of karst rocks and rainwater which is directly infiltrated in the area. This condition can be seen from the fluctuation of discharge during the rainy and dry seasons. Watershed conservation must be carried out to maintain the availability of springs by minimizing the limestone mining process in hilly areas.