bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Mnist Handwritten Numbers Recognition based on CNN
Authors: Gong Yang , Zhang Pan
Published: December 2021

In view of the increasing demand for handwritten digit recognition, a handwritten digit recognition model based on convolutional neural network is proposed. The model includes 1 input layer and 2 convolutional layers (5*5 convolution Core), 2 pooling layers (2*2 pooling core), 1 fully connected layer, 1 output layer, and use the mnist data set for model training and prediction. After a lot of training and participation, the accuracy rate of the training set was finally reached to 100%, and the accuracy rate of 99.25% was also achieved on the test set, which can meet the requirements of recognizing handwritten digits.
Aggregation Method of Distributed Load Resources Based on Non-intrusive Load Identification
Authors: Liu Wei , Wang Chaoliang , Li Yilong
Published: December 2021

Because the power system contains a large number of user-side adjustable load resources, it can effectively enhance the operational flexibility of the power system and realize the safe, economical and efficient operation of the power grid by aggregating and modeling all kinds of resources and participating in the interactive response of the system as a whole. In this paper, a user-side adjustable load resource aggregation method based on non-intrusive load identification is proposed, which aims to obtain the load response potential of various users without intruding into the users, thus providing important support for power grid dispatching. Specifically, starting from the basic attributes of electrical equipment, considering the influence of numerical features such as current, harmonics, power, and V-I trajectory image features on load identification, the deep learning algorithm is used to deeply fuse the numerical features and image features in high-dimensional space, and then the fused advanced features are supervised by the Softmax classification algorithm, so as to effectively identify different types of electrical equipment. Finally, a bottom-up aggregation strategy is adopted to aggregate and model all kinds of load resources under the same station, so as to realize the accurate evaluation of the response ability of station resources. The simulation results of a numerical example verify the correctness and effectiveness of the proposed method.
Mining the Coopetition Relationship of Urban Public Traffic Lines Based on Time Series Correlation
Authors: Li Haibo , Wang Cheng , Wei Gengqian , Xu Sina
Published: December 2021

Along with the evolution of passenger flows within cities, the coordination between public traffic lines should be sustainably optimized with respect to the spatial distribution of the flow, though the lines were planned well at the beginning of the construction. It is critical to determine the coopetition between bus lines to optimize a transit network continuously. A method of mining coopetition relationship (MCBTC, Mining Coopetition relationship between Bus lines based on a Time series Correlation) based on passenger flow is proposed in this study. First, noisy, inconsistent or missing data are eliminated to obtain a passenger flow time series, and the proposed merging algorithm is used to extract the line passenger flow time series (LPFTS, Line Passenger Flow Time Series) by merging the passenger flow of adjacent buses from the same line. Then, to calculate the positive and negative correlation sequence sets, a clustering algorithm is proposed. The two sequence sets represent the competition and cooperation relationships, respectively. The MCBTC method has been tested with a practical data set, and the results show that it is very promising.
Double Genes Improved Genetic Algorithm for Solving Two-Dimensional Rectangular Layout Problem
Authors: Cui Min , Yang Kun , Deng Xiangming , Lyu Shuqing , Feng Miaomiao , Lu Zesen
Published: December 2021

Two-dimensional rectangular layout is according to the number of rectangular pieces and the size of the area of the rectangular pieces into the plate. Depending on the iteration of population in genetic algorithm, better utilization rate of plate is obtained. However, due to the characteristics of vertical and horizontal rows of rectangular pieces, relying on the sequence of rectangular pieces alone as the gene cannot guarantee the genetic diversity of the population, and leads to premature algorithm. In view of the special characters of rectangular layout, Double Genes improved genetic algorithm is proposed according to the order of rectangular layout and its own placement characteristics. In order to improve population diversity, Angle genes were added on the basis of rectangular sequencing genes. In view of the particularity of double genes, double random crossover operators and double mutation operators are proposed to improve the population diversity and randomness of genetic algorithm. Experimental results show the effectiveness of the improved algorithm.
Prediction of the COVID-19 Spread in China Based on Long Short-Term Memory Network
Authors: Zhang Haifei , Xu Jian , Qian Lanmei , Qiu Jianlin
Published: December 2021

The sudden outbreak of COVID-19 has caused great losses to the economy and the life of the masses. Long short-term memory (LSTM) network is a time recursive neural network, which is suitable for processing and predicting important events with relatively long interval and delay in time series. Using LSTM network to predict and analyze the development trend of epidemic situation, it is imperative to prevent epidemic situation from causing secondary harm to China’s development. In this paper, we first obtained the COVID-19 data published by China Health Net using crawler technology, which is the accurate value of infection trend after the outbreak of COVID-19 in China. Then, based on these data, the LSTM model is used to predict the development trend of the epidemic in one year, and the mean square error is used to calculate the error between the prediction and the real data. The experimental model is used to predict and analyze the development trend of COVID-19. The results show that the error between predicted data and real data is small and the effect is very good, which provides a reasonable basis and forecast for scientific prevention and control of epidemic situation.
A Design of Information Teaching Platform Based on Linux Operating System
Authors: Zhao Huimin
Published: December 2021

Linux operating system provides a good platform for the research on computer science due to its characteristics of open source, stability and efficiency. The teaching platform based on Linux has many advantages over that of Windows operating system. To promote the application of Linux and develop domestic software with independent intellectual property rights, the author studies and analyzes the feasibility of Linux teaching platform which can adapt to the current cross platform teaching of information technology in Colleges and universities and meet the requirements of computer grade examination. The author proposes to build an information technology teaching platform based on Linux operating system, and realize the cross platform of mainstream application software through Wine, and meanwhile use virtual machine to support Windows operating system environment. The author puts forward suggestions and measures in the application process, and verifies the feasibility of platform implementation, and proposes the preliminary scheme of platform construction.
Selection Technology of Deep Leak Proof Drilling Fluid in Changsheng Block Based on BP Grey Wolf Neural Network
Authors: Yang Jingna , Sun Weixu , Xie Shuai , Yu Yang , Zhang Xinfa , Wu Xiaoyu
Published: December 2021

In this paper, a BP neural network model with 5-9-6 structure is constructed according to various fault gases and different fault types of drilling fluid. On the basis of BP neural network model, genetic algorithm and gray wolf algorithm are used to optimize the threshold and weight of neural network. By applying the system to Horizontal Well Changshen #5 on site used Grey Wolf algorithm, lost circulation problem in the horizontal section of the reservoir was effectively controlled, ensuring rapid and safe drilling operation.
Recognition Method of Petroleum Fluorescence Spectra Based on Convolutional Neural Network
Authors: Wang Zhongdong
Published: December 2021

As an important raw material and petrochemical tool, petroleum not only brings convenience to mankind, but also brings huge socio-economic and cultural value to our social development, but at the same time it also causes a lot of serious damage to our ecological environment. The identification and measurement of petroleum pollutants has become the main tool to identify pollution sources, control their pollutants and protect their ecological environment. This paper explores the petroleum fluorescence spectrum identification method based on convolutional neural network. Based on extensive research on this method, a simple analysis and understanding of petroleum fluorescence spectrum identification technology and petroleum-related principles are carried out, and then summarized according to relevant data find out the main factors that affect fluorescence spectrum recognition, and prepare for the experiment. The feasibility of the method is verified through the petroleum fluorescence spectrum recognition experiment of the convolutional neural network. The experimental results show that the relative error of the fluorescence spectrum recognition under different concentrations of petroleum both are within the range of 9%. Through the analysis of the relative error, it can be seen that the relative error of resolution shows a downward trend with the increase of the concentration. According to the above data, it can be seen that when the convolutional neural network algorithm is used to identify the components of the petroleum mixed solution, the qualitative analysis can be completed well. When the components in the mixed solution are quantitatively analyzed, there is a certain relative error.
Experiment of Solar Semiconductor Condensing Wall Water Intake System Based on Big Data
Authors: Wei Xianwen , Chai Zongjun , Fang Lei , Luo Miao , Gou Mingxin , Zhen Xiaofei
Published: December 2021

With the rapid development of industry and agriculture, fresh water resources are increasingly scarce, desertification control project investment is more, but the benefit is small. In order to solve the practical problem of water scarcity in desert areas and the waste caused by water not being applied precisely to plants, Based on the rapid development of 5G network signal transmission technology and big data analysis technology, a set of solar semiconductor condensation wall water intake system is designed to inject new vitality into the process of desertification control by taking advantage of the environmental and climatic characteristics of desert areas. Through theoretical analysis, big data analysis and experimental study of the system, taking Liangzhou District of Wuwei City in Gansu Province as an example, the comprehensive analysis of the system was carried out. The results show that the theoretical water output per hour of the system is 138.3g, and the cumulative power generation of the system in 20 years is 28800kWh, which can reduce standard coal combustion by 8.64t, reduce CO2222.64t, and save 33609.6 yuan.
Search Engine Optimization Method of Online Course Management Platform
Authors: Wang Bixi , Wu Wenbin , Zheng Wenfeng , Gong Qilong , Yin Lirong
Published: December 2021

This study proposes a method of keyword selection in search engine optimization to improve the accuracy of search engine and website rankings. To promote the development of scientific and technological innovation, this paper selects the innovation and entrepreneurship curriculum platform as the experimental object. By comparing different search engine optimization strategies, the keyword search volume data is analyzed based on “comprehensive index evaluation method”, which analyzes and calculates the change of keyword search comparison and the number of related keywords. Therefore, this paper will use the comprehensive index evaluation method for keyword selection, and establish a set of practical keyword selection method combined with the actual situation of innovation and enterprise curriculum platform. The results show that this program can improve search accuracy and website ranking.
LDA-CBOW-Based Mining Model for Risky Driving Behavior in Traffic Accidents
Authors: Shi Tuo , Wang Na , Zhang Lei
Published: December 2021

Traffic accident data of traffic management department is recorded in unstructured text form, which contains a large number of characteristic descriptions related to risky driving behavior. However, such data has short text length and abundant professional vocabulary. Many text mining techniques cannot effectively analyze such text data. This paper proposes an improved LDA algorithm based on CBOW—LDA-CBOW model for the study of traffic accident text data containing illegal behaviors. This model can better extract the topics of traffic accident data and filter the keywords under the corresponding topics, which provides a better way to study the dependence relationship between traffic data and illegal behaviors. Experiments show that compared to other models, this model can better extract related topics of traffic accident data with higher model efficiency and better robustness.
Personal Privacy Data Protection in Location Recommendation System
Authors: Han Linrui
Published: December 2021

At present, there are many location-based recommendation algorithms and systems, including location calculation, route calculation, and so on. However, in the general information data publishing, the privacy issues in the published data have not been fully paid attention to and protected. The purpose of this article is to investigate the effectiveness of personal privacy data protection in location recommendation systems. This paper first introduces the basis and importance of research on data security and secrecy, analyses personal privacy issues in data publishing in the era of big data, summarizes the research status in the field of security and secrecy at home and abroad, and introduces the process of data security and the role of users in it. Then, some classic privacy security modules in this field are introduced, and the privacy of data storage security concepts in the current situation mentioned in this paper is analyzed. A geographic location-based privacy protection scheme in mobile cloud is proposed. Privacy analysis, sensitive attribute generalization information analysis, route synthesis analysis and related experiments are performed on the location recommendation system. The experimental results show that the scheme proposed in this paper is more secure and has less loss of data availability.
Construction of 3D GIS based on VR and Edge Computing
Authors: Wang Fei , Zhou Chao , Chen Yanlong , Jing Xindi
Published: December 2021

Geographic Information System (GIS) is a subject that studies spatial information science and computer system for collecting, storing, retrieving, modeling, analyzing and representing geospatial data. GIS not only manages attribute information based on numbers and text, but also manages spatial information based on visual graphics and images. With the rapid development of computer technology, space technology and information technology, the expression form of map is gradually changing from two-dimensional to three-dimensional. 3D GIS can express 3D spatial information in detail and has powerful multi-dimensional spatial analysis function. However, 3D visualization technology can not be immersed in geographic information. The process of requesting information by each end user is energy intensive. If big data processing is adopted, it will greatly increase the computing pressure of big data center. The paper presents a 3D GIS construction method based on Virtual Reality (VR) and edge computing (gis-ve). Specifically, firstly, virtual reality equipment is deployed at the user terminal to realize the organic integration of real scene and virtual object in three-dimensional space, and build a real and perfect three-dimensional real world space. Secondly, under the edge computing architecture, virtual reality applications are deployed on edge computing nodes to reduce the number of device hops transmitted between virtual reality application data and end users, reduce network processing delay and reduce the computing pressure of big data processing center. Then, the deployment problem of GIS is transformed into a performance optimization problem, and the delay and cost are used as evaluation indexes. Finally, an improved artificial bee colony algorithm is proposed to solve the optimal GIS construction scheme. In order to verify the feasibility and effectiveness of this method, the paper compares this method with two other advanced 3D-GIS construction methods, and experiments show that this method performs well in terms of delay and cost.
Implications of different income distributions for future residential energy demand in the U.S.
Authors: Sampedro Jon , Iyer Gokul , Msangi Siwa , Waldhoff Stephanie , Hejazi Mohamad , Edmonds James A
Published: December 2021

Future income distribution will affect energy demand and its interactions with various societal priorities. Most future model simulations assume a single average consumer and thus miss this important demand determinant. We quantify long-term implications of alternative future income distributions for state-level residential energy demand, investment, greenhouse gas, and pollutant emission patterns in the United States (U.S.) by incorporating income quintiles into the residential energy sector of the Global Change Analysis Model with 50-state disaggregation. We find that if the income distribution within each U.S. state becomes more egalitarian than present, what means that the difference on income between the richest and poorest decreases over time, residential energy demand could be 10% (4%–14% across states) higher in 2100. This increase of residential energy demand will directly reduce energy poverty, with a very modest increment on economywide CO2 emissions (1%–2%). On the other hand, if U.S. states transition to a less equitable income distribution than present, with the difference between richest and poorest increasing over time, residential energy demand could be 19% (12%–26% across states) lower. While this study focuses on a single sector, we conclude that to improve understanding of synergies and tradeoffs across multiple societal goals such as energy access, emissions, and investments, future model simulations should explicitly consider subregional income distribution impacts.
Anthropogenically forced increases in compound dry and hot events at the global and continental scales
Authors: Zhang Yu , Hao Zengchao , Zhang Xuan , Hao Fanghua
Published: December 2021

Remarkable increases in compound dry and hot events (CDHEs) have been observed in different regions in recent decades. However, the anthropogenic influence on the long-term changes in CDHEs at the global scale has been largely unquantified. In this study, we provide evidence that anthropogenic forcings have contributed to the increased CDHEs over global land areas. We compare the spatial and temporal changes in CDHEs based on climate model simulations from Coupled Model Intercomparison Project Phase 6 and observations from different datasets. The results show observed occurrences of CDHEs have increased over most regions across global land areas during 1956–2010 relative to 1901–1955. In addition, we find a temporal increase in observed occurrences of CDHEs averaged over global land areas and different continents (except Antarctica) for the period 1901–2010 (with a larger increase during 1951–2010). The spatial and temporal changes in historical all-forcing simulations (with both anthropogenic and natural components) are overall consistent with observations, while those in historical natural-forcing simulations diverge substantially from observations, heightening the key role of anthropogenic forcings in increased CDHEs. Furthermore, we use the probability ratio (PR) to quantify the contribution of anthropogenic forcings to the likelihood of CDHEs since the mid-20th century (1951–2010). We find anthropogenic influences have increased the risk of CDHEs in large regions across the globe except for parts of Eurasia and North America. Overall, our study highlights the important role of anthropogenic influences in increased CDHEs from a global perspective. The mitigation of climate change is thus paramount to reduce the risk of CDHEs.
Oceanic Rossby waves drive inter-annual predictability of net primary production in the central tropical Pacific
Authors: Brune Sebastian , Esther Caballero Espejo Maria , Marcolino Nielsen David , Li Hongmei , Ilyina Tatiana , Baehr Johanna
Published: December 2021

In the Pacific Ocean, off-equatorial Rossby waves (RWs), initiated by atmosphere-ocean interaction, modulate the inter-annual variability of the thermocline. In this study, we explore the resulting potential gain in predictability of central tropical Pacific primary production, which in this region strongly depends on the supply of macronutrients from below the thermocline. We use a decadal prediction system based on the Max Planck Institute Earth system model to demonstrate that for the time period 1998–2014 properly initialized RWs explain an increase in predictability of net primary productivity (NPP) in the off-equatorial central tropical Pacific. We show that, for up to 5 years in advance, predictability of NPP derived from the decadal prediction system is significantly larger than that derived from persistence alone, or an uninitialized historical simulation. The predicted signal can be explained by the following mechanism: off-equatorial RWs are initiated in the eastern Pacific and travel towards the central tropical Pacific on a time scale of 2–6 years. On their arrival the RWs modify the depths of both thermocline and nutricline, which is fundamental to the availability of nutrients in the euphotic layer. Local upwelling transports nutrients from below the nutricline into the euphotic zone, effectively transferring the RW signal to the near-surface ocean. While we show that skillful prediction of central off-equatorial tropical Pacific NPP is possible, we open the door for establishing predictive systems for food web and ecosystem services in that region.
The effect of curing on compressive strength of geo-polymer mortar made rice straw ash, fly ash, and laterite soil
Authors: Rangan P R , Irmawaty R , Tjaronge M W , Amiruddin A A , Bakri B , Tumpu M.
Published: December 2021

This study aims to analyze the effect of curing on the compressive strength of geopolymer mortar made from straw ash, fly ash and laterite soil. This research is experimental in the laboratory. Geopolymer mortar was produced using straw ash, fly ash and laterite soil with a percentage ratio of 16.67: 41.67: 41.67. The alkaline activator used is sodium hydroxide (NaOH) with a concentration of 12 M. The compressive strength test of 5 × 10 cm cylinders is used to evaluate the geopolymer mortar mixture produced at the age of 3, 7 and 28 days with curing, namely air and water curing. The results showed that the compressive strength of the geopolymer mortar increased along with the increasing age of each curing. The compressive strength values produced in air curing 3, 7 and 28 days were respectively 1.64 N/mm2, 1.72 N/mm2 and 3.22 N/mm2. While water curing, the resulting compressive strength values for each curing are 1.03 N/mm2, 1.63 N/mm2 and 1.68 N/mm2. At the ages of 3, 7 and 28 days, there was an increase in the compressive strength values from water curing to air curing, which were 0.37%, 5.23% and 47.82%, respectively. It can be seen that the compressive strength of the geopolymer mortar made from straw ash, fly ash and laterite soil in air curing is greater than that of water curing.
Relevant Indicators of Social Vulnerability during Response Phase Context of Flooding inTebingTinggi City, North Sumatra Indonesia
Authors: Harahap B A
Published: December 2021

Indicators to reflect vulnerability to flood vary among scholars. These variations tend to be developed primarily due to heavy dependency on the statistics data availability. Unless employing such predetermined indicators to assess the states of social vulnerability, scholars were less attracted to study what relevant indicators should be in assessing such social vulnerability. Apart from this gap, majority of the studies have overlooked the significance of time-frame contexts of flooding in determining the situation of social vulnerability. Consequently, many conducted the investigations without questioning the relevance of indicators in terms of time-frame contexts. This current study, accordingly, attempts to investigate relevant indicators of social vulnerability to flood with respect to response phase context. With the study area of Tebing Tinggi in North Sumatra, 76 indicators are tested using Likert scale of survey and Principal Components Analysis (PCA). As a result, 6 retained components produce 12 relevant indicators to reflect social vulnerability to flood during response phase; they are: Elderly, Female, Single parent families, Household or per capita income, Children, Poverty and deprivation, Dependency, Informal sector/day labourer, Slum dwellers, Male, Renters, and Unemployment.
Reduction of Gray Water and Run-off in a Residential Environment with Rain Garden Model (Case Study “Settlements in Makassar City”)
Authors: Makbul R , Desi N , Sudirman
Published: December 2021

Residential neighborhoods produce wastewater originating from soapy water, oil, and similar wastes which are included in the gray water category, as well as rainwater runoff from tiles and those that fall in the house, so the best way to consider is to install a water treatment system. integrated waste. The purpose of this study is to identify a Rain Garden model that is suitable for application in the residential areas of Makassar City. The method used is by identifying the suitability of the Rain Garden land, calculating the dimensions, and making the right Rain Garden model. From the results of the study it was concluded that the Rain Garden model for the reduction of gray water and rainwater runoff in the Makassar City residential environment was designed to have three cropping variations. Time to fill RG with the design of the design of Gray Water discharge reservoir and runoff discharge based on water loss in the residential environment. With a flow rate of V = 0.3 m3 / s, the depth of flow Y = l.2 m. Based on the relationship between the width and depth of flow at the best hydraulic section in rectangular shape, the channel bottom is B = 0.8 m, guard height (F) 30% Y=0.36 m. The effectiveness of household waste treatment and rainwater runoff using this Rain Garden model, for BOD = 102.8 mg / L (inlet) to 8.4 mg / L (outlet). The highest TSS value was 79 mg / L (inlet) to 8.3 mg / L (outlet). The highest detergent value was 59.84 mg / L (inlet) and showed the yield after processing was 1.25 mg / L (outlet). Treatment of gray water and rainwater runoff in residential environments is to reduce the volume of liquid waste that enters the city drainage system and create a sustainable urban sanitation ecology.
Ship building design of general cargo vessel using comparator ship method in port route of Jakarta-Makassar-Manokwari
Authors: Palippui H , Pairunan T
Published: December 2021

Marine-based industrial development includes several sectors including Sea Transportation Services, Ferry Services, Capture Fisheries, Offshore Oil & Gas, Marine Biological Resources, Marine Tourism, and Energy Conversion, which in general both management and operations require supporting facilities, namely ships. with certain types that can serve these interests. During the current economic recovery period, there need to be concrete and more innovative steps that must be pursued by all parties, both government and private, in order to reduce the time needed to improve the state’s economic condition. Hence, the role of marine potential is very vital to be further developed in the future. The optimization results of the comparison ship obtained the main dimensions of the design vessel, namely: Lbp = 81.19 m, B = 15.00 m, T = 5.50 m, H = 7.00 m, Cb = 0.75, Cm = 0.99, Cw = 0.84 Cpv = 0.89, Cph = 0.76, Fb = 1.50 m, Fn = 0.22, Displacement = 5280.91 tons, Volume = 5131.583 m3, GRT = 3910 tons, Vs = 12 knots, Lwl = 83.22 m. This comparator ship method makes it easy for ship designers with accurate results.
The Development Strategies of Cocoa Cultivation (Theobroma cacao L.) in Soppeng District
Authors: Asrul L , Yulianti A , Musa Y , Trisnaputri AC
Published: December 2021

The development of cocoa cultivation is currently optimal in Soppeng Regency and is still experiencing problems or problems such as managing recommended cocoa plants due to limited knowledge of farmers, increasing pests and diseases caused by improper application of cultivation systems, and erratic seasonal changes., the condition of plants that are old or damaged, resulting in unproductive plants. These factors greatly affect the life and welfare of cocoa farmers. This study aims to identify factors that support farmers in developing cocoa cultivation in Soppeng Regency and analyze business strategies for developing cocoa cultivation at the farmer level in Soppeng Regency. The study showed that the Internal Factor Strategy Analysis Matrix (IFAS) for developing cocoa cultivation consisted of the highest strength factor in the appropriate agro-climate conditions, supportive natural resources and the experience and skills of farmers in cocoa farming. Meanwhile, the highest weakness factor is the application of cocoa management that is not according to recommendations. The External Factor Strategy Analysis Matrix (EFAS) measures the opportunity factor of local government support to make cocoa a leading commodity in the plantation sector and education and training through field schools. Meanwhile, the highest factor is the factor of pests and plant diseases. Based on the SWOT diagram analysis, the results obtained coordinates 0.67; 2,17, where these coordinates are in Quadrant I, which is an aggressive strategy, where this strategy can be used in developing cocoa cultivation in Soppeng Regency, namely utilizing the support provided by the government by increasing cocoa farming from upstream to downstream, doing extension and training in applying technology to farmers, creating demonstration plots based on agro-climatic conditions and available natural resources as training sites for cocoa farmers.
Policy Evaluation of Central Government and Local Governments in Untia Fishing Port Development
Authors: Utami R S , Budimawan  , Kurniaty
Published: December 2021

The fishing port as the basis for the capture fisheries sector has a very important role in the national economy. Since the inauguration in 2016 until now, Untia Makassar Fishing Port has not shown an increase in activity as expected. This research objective is to make an inventory of the regulations related to the Untia Fishery Port Management Policies and how is the implementation of the Untia Fishery Port Management Policies. This research uses a descriptive method with a qualitative approach. The sampling technique used was purposive sampling. The method of data collection is done by interview, participatory observation, documentation, and questionnaire. The results show that the Decree of the Minister of Marine Affairs and Fisheries of the Republic of Indonesia Number 74 / KEPMEN-KP / 2016 concerning the Management of Untia Fishery Ports has not succeeded in becoming a tool in increasing fisheries activities. Therefore, it is necessary to coordinate immediately with the Ministry of Administrative Reform - Bureaucratic Reform (Kemenpan-RB) so that the nomenclature of Untia fishery port managers can be immediately determined so that additional human resources and budgeting resources can be added. The efforts must be made so that policy implementation can be maximized in the community, namely (1) local government support for the initiation of the 30 GT ship to facilitate it to the fishery port for use and (2) local government support in the form of regulations for industrial entrepreneurs both in the ship supply industry as well as the marketing and distribution of fishery products to grow the fishery industry at the port of Untia.
Petrology of ultramafíc Rocks from PT. Sebuku Iron Lateritic Ore (SILO) concession area and Its Effect on Ni and Fe in Sebuku Island, South Kalimantan, Indonesia
Authors: Abbas I R H , Maulana A
Published: December 2021

Widely distribution of serpentinization rock especially ultramafic rocks in Sebuku Island, South Kalimantan, primarily in the concession area of PT. Sebuku Iron Lateritic Ore (SILO). Some representative samples were taken from the site and analyses the level of serpentinization to determine the characteristic of the rocks. The ultramafic rocks in the study area consist of peridotite with a low to high degree of serpentinization to serpentinite. The pseudomorph textures are shown like mesh, bastite, blades/flaky, hourglass, vein, and veinlet. Serpentine occurs as lizardite, chrysotile, and antigorite. Geochemical analysis like XRF (X-ray fluorescence) was used to find out the composition element. By this analysis, the wt.% of the element will be shown and determine the level of Nickel (Ni), and Iron (Fe), and the level of serpentinization also. The Serpentinization levels are affecting Ni and Fe. The higher the serpentinization level, the higher Fe (wt.%), whereas the higher level of serpentinization, the lower Ni (wt.%).
Condition of Hard Corals and Quality of The Turbid Waters in Spermonde Islands (Case Studies in Kayangan Island, Samalona Island and Kodingareng Keke Island)
Authors: Parenden D , Jompa J , Rani C
Published: December 2021

Coral reefs in Spermonde waters have experienced degradation as a result of the increasing turbidity in these waters. This research was conducted on Kayangan Island, Samalona Island and Kodingareng Keke Island, Spermonde Islands, Makassar City. The purpose of this study was to determine the percentage of coral cover, types and the how much the turbidity of the waters influence the coral. The researcher measured the coral cover using Underwater Photo Transect and processed the data using CPCe software. The levels of turbidity were taken at three locations and examined in the laboratory and the other parameters were measured on site. The correlation between turbidity and coral cover was analysed by regression analysis method. Based on the regression results, the turbidity level has a negative effect on coral cover. The level of turbidity is higher on Kayangan Island with 0.89 NTU with a cover percentage of 4.95 %, Temperature of 30°C, Salinity of 30 ppm, DO of 5.44 mg/l, pH 7.8 and the species found were Porites and Faviidae. Samalona Island is 0.43 NTU with a percentage of coral cover of 14.08 %, Temperature of 30°C, Salinity of 30 ppm, DO of 5.44 mg/l, pH of 7.7 and the most common types are Acropora and Fungiidae. Kodingareng Keke Island has a turbidity value of 0.32 NTU, Temperature of 29°C, Salinity of 30 ppm, DO of 6.08 mg/l, pH 7.3 and the most common coral species, Fungiidae. Higher levels of turbidity in Kayangan Island will result in the death of certain coral species (unable to adapt) and will also have an impact on the percentage of hard coral cover.
Influence of Water Immersion on Stability of AC-WC Mixed with Gondorukem Additional Material
Authors: Kabo D R G , Tumpu M , Parung H
Published: December 2021

One of the treatments that can be given to asphalt mixtures to determine the durability of the mixture is by water immersion. This study aims to analyze the stability value of Marshall mixture of AC-WC (Asphalt Concrete Wearing Course) by using modified Asbuton as a binder and gondorukem as added material due to water immersion. The method used in this research is experimental in the laboratory. AC-WC mixture is produced using modified Asbuton as a binder (Retona Blend 55) at optimum asphalt content of 6.25% and gondorukem as an additive at 0.0% and 2.5% content. The treatment given to the mixture is by soaking water for 0, 1, 3 and 7 days. The treatment given to the mixture is by soaking water for 0, 1, 3 and 7 days. The results showed that the Marshall stability value decreased with increasing water immersion time. Decrease in Marshall stability values that occur in specimens with immersion time of 1, 3 and 7 days for specimens without immersion are 21.34%, 25.56% and 28.25%, respectively.
Utilization of Sea Water to Production of Concrete in Terms of Mechanical Behavior
Authors: Mansyur  , Amiruddin A A , Parung H , Tjaronge M W , Tumpu M
Published: December 2021

Supplies of fresh water in everyday life has increased, but the smaller the potential sources of water so we need to think of alternative uses of water for concrete construction work. This study aims to compare the compressive strength of concrete using sea water and fresh water with water cement ratio of 0.37. An experimental research was conducted by making specimens of concrete cylinder with a diameter of 150 mm and height of 300 mm. The study used specimens of concrete using sea water and fresh water. There were 32 specimens for each kind of concrete. The treatment of each specimen used sea water and fresh water in accordance with the type of mixing water. The immersion periods were 1, 3, 7 and 28 days. Mechanical testing of concrete was conducted by testing the compressive strength and elasticity, while the testing of concrete microstructure was conducted by using X-Ray Diffraction (XRD) and Scan Electron Microscopy (SEM). The results revealed that in the 28-day immersion period. The compressive strength values of the sea water concrete and fresh water concrete were 44.88 MPa and 44.03 Mpa respectively. The difference of compressive strength in the two types of concrete was not significant. The result of microstructure test in the 28-day period revealed that in the sea water concrete, there was a formation of Friedel’s salt (3CaO.Al2O3.CaCl2.10H2O) of 7.71%, tobemorite (3CaO.2SiO2.3H2O) of 58.66% and calcium hydroxide (Ca(OH)2) of 6.18%. In the fresh water concrete, there was a formation of tobermorite (3CaO.2SiO2.3H2O) of 51.35%, and calcium hydroxide (Ca(OH)2) of 22%. There was no formation of Friedel’s salt in the fresh water concrete because there was no mutual reaction between chloride and calcium hydroxide elements. From the regression analysis, showed that the difference of microstructure compressive strength differences caused by differences in the microstructure of the content of the two types of concrete.
The Analysis of Cost Estimation using Cost Significant Model on Bridge Construction in South Sulawesi
Authors: Aprianti E , Hamzah S , Abdurrahman M A
Published: December 2021

One of the fundamental problems faced by the province of South Sulawesi is the factor of accessibility, so the role of bridges is quite important. For this reason, the budget planning for standard bridge construction projects also needs to be efficient in terms of preparation and accurate in terms of budget. The Cost Significant Model is one of the total construction cost estimation models that relies more on the prices that have the most influence on the total project cost as the basis for estimation. In general, this study uses data from steel frame bridge construction projects in South Sulawesi Province to formulate a mathematical model with linear regression analysis so that it can be used in the process of estimating similar projects going forward. The Estimation Model which is formed from the regression analysis and the Cost Significant Model in this study, namely; Y = 3.884 (X7) + 0.989 (X8) - 65515.372. With; Y = Estimated Total Cost (Rp/m); X7 = Reinforcement Work Cost (Rp/m); X8 = Steel Frame Structure Work Cost (Rp/m). Where this model can explain 99.7% of the total project cost with a cost model factor of 1.038. The level of accuracy (percentage error estimate) of the estimation results of the Cost Significant Model in this study ranges from - 1.46% to +2.45%.
Physical Potentials and Constraints of Tidal Peat Swamps for Agriculture (Case Study of Rasau Jaya District, West Kalimantan Province, Indonesia)
Authors: Herawati H , Chatib N , Suswati D , Soetarto Y M
Published: December 2021

Tidal swamps which are widespread in lowland areas have the potential to be used for agricultural activities. The amount of rain potential available in this type of land can be used to supply water for irrigation purposes so that plants grow optimally. However, the tidal potential especially on the peat swamps area may have a negative impact, namely the occurrence of nutrient leaching from the soil, which is harmful to plants. Rasau Jaya, a tidal lowland area with peat swamp soil characteristic, is an area allocated for rice and corn cultivation. The study was conducted with the aim to determine the physical potential and constraints of land and water management in Rasau Jaya for the cultivation of both types of plants. This research was conducted through field observations and measurements as well as laboratory tests and model scale to evaluate the characteristics of existing land quality based on Land Suitability Classification by the Food and Agriculture Organization (FAO). The result of this study shows that characteristics of water availability in Rasau Jaya is classified as Class S1 Highly Suitable for rice and corn crops, while existing conditions of land in Rasau Jaya III are generally classified in the S2 class Moderately Suitable for rice and corn crops. Appropriate land management is needed to increase land productivity for the cultivation of the Rasau Jaya’s assigned priority crops.
Clean Water User Behavior for Clean Water Savings in Topoyo Mamuju
Authors: Musa D , Trisutomo S , Akil A
Published: December 2021

The purpose of this study is to analyze people’s behavior in using clean water based on their water source and the factors that influence that behavior. This research method through data collection is done by observing the level of education, type of work, income level, number of people, analysis of the relationship between social and cultural factors. Data were analyzed by crosstab analysis. The results showed that community behavior in using clean water tended to be very dependent on SPAM (90.6%) compared to wells (9.4%) as a source of clean water for household and non-household water use. Chi square test results show there is a relationship between the variables of clean water sources to domestic use (0.00) and non-domestic (0.025) <α (0.05). Factors that influence the behavior of clean water users in general in the Topoyo community are social and cultural factors where the results of the domestic chi square test (0.00) and non-domestic (0.025). By zoning the use of clean water is only influenced by a number of variables.
Early Age Physical Properties of Porous Concrete Containing Slag Nickel Aggregate under Compression
Authors: Irfansyah AF , Tjaronge MW , Amiruddin AA
Published: December 2021

The scope of this research is to make hollow concrete using Nickel Slag and compare it with crushed stone aggregate. The purpose of this study was to determine the amount of workability, porosity, permeability, and tensile strength of porous concrete, and to determine the effect of the 05-10 and 10-20 grading of the aggregate on the tensile strength, porosity and permeability of porous concrete. This study used an experimental method using aggregates with uniform gradations. The aggregates used are nickel slag and crushed stone with uniform gradations of 05-10 and 10-20. The cement water factor (FAS) used in the mix design is 0.35 and the cavity in the concrete is 20%. Workability testing is carried out after the fresh concrete is finished. mixed with the composition according to the mix design. Tensile strength test, with the compressive strength machine method performed at the age of the concrete 3 and 7 days. From the analysis with qualitative methods, porous concrete containing nickel slag and crushed stone in gradations 5 - 10 and 10 - 20 obtained the highest compressive strength values in the nickel slag aggregate mixture 5-10 and 10-20 of 10.70Average - average 10.51 MPa, Modulus of elasticity of 6316.43 average 6054.68 MPa, and Poisson Ratio of 0.1651 Average 0.1598.
Study on Electrical Vehicle Policy in South Korea as a Lesson Learning for Indonesia
Authors: Tenggara Ayodya Pradhipta , Budiarto Rachmawan , Prawira Andhika Yudha , Prakoso Ari Bimo , Ibrahim Ahmad
Published: December 2021

Electric vehicle (EV) becomes an important option to overcome limited resources of fossil energy resources and to reduce side effects of Internal Combustion Engine Vehicles (ICEV) on the environment and health. However, the implementation policy of EV needs to apply carefully to make this policy sustainable and to minimize its side effects. Therefore, the Government of a country plays a significant role in leading and support the implementation of EV with policy and regulation. This paper reviews policies of Electric Vehicles (EV) in South Korea and Indonesia. The main objective of this review is to evaluate the strengths and weaknesses of the policies implemented in those countries. Three main aspects are elaborated, i.e., the main policy, the technology, and the private sector implementations. This paper also develops recommended policies and actions that could be done in Indonesia by reflecting on the EV policy in South Korea.
Minimizing Power Peaking Factor of BEAVRS-based Reactor Using Polar Bear Optimization Algorithms
Authors: Amatullah Amila , Agung Alexander , Arif Agus
Published: December 2021

Fuel loading pattern optimization is a complex problem because there are so many possibilities for combinatorial solutions, and it will take time to try it one by one. Therefore, the Polar Bear Optimization Algorithm was applied to find an optimum PWR loading pattern based on BEAVRS. The desired new fuel loading pattern is the one that has the minimum Power Peaking Factor (PPF) value without compromising the operating time. Operating time is proportional to the multiplication factor (k

eff
). These parameters are usually contradictive with each other and will make it hard to find the optimum solution. The reactor was modelled with the Standard Reactor Analysis Code (SRAC) 2006. Fuel pins and fuel assemblies are modelled with the PIJ module for cell calculations. One-fourth symmetry was used with the CITATION X-Y module for core calculations. The optimization was done with 200 populations and 50 iterations. The PPF value for the selected solution should never exceed 2.0 in every burn-up step. Out of 28 solutions, the best optimal fuel loading pattern had a maximum value PPF of 1.458 and a k

eff
of 0.916 at day 760 of calculated time (corresponding to a cycle length of 479 days). Therefore, the maximum PPF value was 27.1% lower than the safety factor, and the same operating time as the standard loading pattern has been achieved.