bluuebunny/crossref_metadata_2025 huggingface dataset:
Particle swarm optimization versus gradient based methods in optimizing neural network
Authors: Warsito B , Yasin H , Prahutama A
Published: June 2019

Neural network modelling has become a great interest for many statisticians to be utilized in various types of data as classification, regression, and time series. It also has been applied in many fields as environment, financial, medical, agriculture and climate change. A lot of parametric methods have been developed to predict time series data such as ARIMA and exponential smoothing. However, requirement of residual assumptions causes limitedness of the models. Time series prediction by using neural network been an interesting study in the forecasting problem. In this model, one of the most interesting discussion is about how to get the optimal weights. Various gradient and non-gradient based methods have been applied in obtaining the network weights. Particle swarm optimization is one non-gradient based algorithm inspired by the behaviour of birds and fish flocks, which move to form certain formations without colliding to get the best position in a multi-dimensional space. In neural network modelling, the number of input and hidden unit give influence to the network architecture. The more complex an architecture, the more network weights must be estimated. In this study, a comparison of particle swarm optimization and some gradient based methods on the optimizing neural network was studied. Comparative studies were performed on both stationary and non-stationary data. Experiments were conducted several times to obtain optimal accuracy and stability of results, through statistics of mean and variance of MSE values.
Spatial autoregressive with a spatial autoregressive error term model and its parameter estimation with two-stage generalized spatial least square procedure
Authors: Saputro D R S , Muhsinin R Y , Widyaningsih P , Sulistyaningsih
Published: June 2019

Spatial relationship models often use dependence relationships into covariance structures through the autoregressive model. The autoregressive process is shown through the dependence relationship between a set of observations or a location from now on called the dependent spatial model. The Spatial dependent model is divided into two categories: spatial lag and spatial error. The spatial lag regression model is a model that considers dependent variables on an area with other areas associated with it, and the spatial error regression model is a model that takes into account the dependency of error values of an area with errors in other areas associated with it. Models with both dependencies are expressed as spatial autoregressive models with a spatial autoregressive error term (SAR-SAR). These dependencies resulted in the estimation of parameters by the ordinary least square method (OLS) resulting in inconsistent estimators. Therefore a special estimation method is required which results in a consistent estimate of the generalized spatial two-stage least square (GS2SLS). In this paper, we review the parameter estimation of SAR-SAR model with GS2SLS. To complete this paper, we also applicate of SAR-SAR model in dengue hemorrhagic fever (DHF) case in Surakarta, Central Java.
Budgeting school operational assistance in Central Java using three spatial process modelling
Authors: Wasono R , Karim A , Darsyah M Y , Suwardi
Published: June 2019

The formulation of Indonesian school operational assistance is a complex issue, as each region has different characteristics. The aim of this research was to find out the mapping of the distribution of school operational assistance budget in Central Java Province, to develop the equalization model of Indonesian school operational assistance of Central Java Province using spatial through three spatial processes namely spatial lag X (SLX), spatial autoregressive (SAR), and spatial error model (SEM). Spatial modeling is expected to be a tool of educational development planning so that the development is more directed to equitable distribution of Indonesian school operational assistance in Central Java. The distribution of funds for the program is one form of government expenditures in the form of subsidies for the education sector as the compensation from reduced subsidies for fuel oil. The research results show that the SEM model is the best model, and the estimation results show that the school development budget, school management and human development index can significantly be a determinant of the distribution of Indonesian school operational assistance.
Spatial modelling for rice production analysis in Central Java province Indonesia
Authors: Karim A , Sarra D S , Wasono R , Utami T W , Toheri
Published: June 2019

Rice is one of staple food in Central Java province because rice is the main carbohydrate and calorie source for society in general. From year to year rice production in various regions in Indonesia shows a significant increase. Central Java is one of the provinces in Indonesia which has the agricultural sector as its main sector. However, in the last five years, the average rice production in Central Java showed a stagnant decline in value. This study was aimed to model the spatial effects on rice productivity in the cities in Central Java along with the factors that influence it. The method used is spatial modeling approach. The results of the analysis show that spatial lag X (SLX) model has the smallest AIC value, estimation result shows that rice production and harvest area have significant effect on rice productivity in Central Java.
Application of decision support system using the K-Nearest Neighbor and Weighted Product method for determining the recipients of low-income family scholarship (GAKIN) (case study: Poltekkes Kemenkes Semarang)
Authors: Nasher L A , Bahtiar N
Published: June 2019

Poltekkes Kemenkes Semarang is a university of health that has a scholarship facility for underprivileged students or often referred as Beasiswa Keluarga Miskin (Gakin). At this time the determination of Gakin scholarship recipients is still in the form of manual selection.

Decision-Making is a systematic approach to a problem with the gathering of facts, a mature determination of the alternatives to be faced, and the taking of actions that are calculated to be the most appropriate action. To simplify the process of determining a decision, present an application of decision support system with input and output required. This research makes an application of decision support system with K-Nearest Neighbor method to recommend the decision in the system. It aims to shorten the time and provide convenience to policymakers (decision makers) in Poltekkes Kemenkes Semarang in selecting recipients of Poor Family Scholarships (GAKIN). Based on existing data, KNN method can handle all new data from potential recipients with a value of neighbor is 5 to produce an accuracy of 99.61%, precision 99.85% and recall 99.42% with data of scholarship recipients last five years.
The early detection system of pulmonary tuberculosis disease using learning vector quantization 2 (lvq2)
Authors: Widyasari L A , Sasongko P S , Sutikno  , Suhartono  , Reynaldhi E
Published: June 2019

Tuberculosis is an infectious disease caused by the Mycobacterium tuberculosis virus and infects the pulmonary. While in Indonesia, Central Java province was on the third-ranked for the highest number of new case of pulmonary tuberculosis disease. This disease can cause dangerous complications until death if not immediately detected and not treated completely. To help the community do early detection of pulmonary tuberculosis disease easily, this research aims to make an early detection system of pulmonary tuberculosis disease using Artificial Neural Network algorithm Learning Vector Quantization 2 (LVQ2). The variable that was used consisted of 8 symptoms of pulmonary tuberculosis disease. The research data obtained from health record data of pulmonary tuberculosis patients at Puskesmas Karangawen II Kab. Demak as much as 80 data. The distribution of training data and testing data was obtained from the application of k-fold cross-validation with the value of k = 8. The results showed that the best LVQ2 architecture for early detection system was obtained in combination of parameters learning rate (α) 0,06; smallest learning rate 0,001; window (ε) 0,3; and maximum epoch 500. The best architecture in this research produced 87,5% accuracy, 12,5% error rate, 85% sensitivity, and 90% specificity with a processing time of 8-fold was 60,68 seconds.
Classification and identification the most important features of cervical cancer based on the expression of microRNA gene with the random forest (RF) algorithm
Authors: Aziz E A , Wibowo A , Wirawan P W
Published: June 2019

Cervical cancer is the leading cause of death women in the world and number one in Indonesia. An effort that can be done for this case is early detection, for example, an IVA test (visual inspection test with acetic acid). However, the IVA test is not able to indicate patients who have potential cancer before cancer’s physical characteristics are seen. Thus a new solution is needed for early detection of cervical cancer that can indicate patients who have potential cancer before cancer’s physical characteristics are seen. In recent years, various types of miRNA that play a role in cancer malignancies have been identified and can be used as non-invasive biomarkers for cancer diagnosis and monitoring. The use of classification based on miRNA gene expression is a solution for early detection, but the use of high accuracy classification algorithms is something that must be considered. Random Forest (RF) algorithm is the solution to these problems because better generalization performance and is less susceptible to overfitting. In this study also identified important features that are very influential in the classification process. The results showed that the Random Forest algorithm was able to have 100% accuracy for classification and most important features supporting the cancer were miR-549c-5p, miR-183 and miR-515-5p.
The effect of coconut water and tofu wastewater as nitrogen source on the production of alkali protease from Aspergillus flavus DUCC K225
Authors: Rukmi I , Pujiyanto S , Mulyani N S , Faidah N , Ayu L
Published: June 2019

Protease is one of important industrial enzyme produced by microorganisms, including fungi. Aspergillus flavus DUCC K225 is an indigenous mold isolated from lime soil Madura island, has been verified as potential producing protease at pH 8. The production of alkaline protease by A. flavus DUCC K225 was studied under submerged fermentation. Molasse and glucose were used to replace sucrose as carbon source. The effect of medium components was observed on the 7th day’s incubation, by measuring biomass, protease activity, protein content and protease specific activity at pH 8.5. The examination were done for crude enzyme, 0-20%, 20-40%, 40-60%, 60-80% and 80-100% ammonium phosphate fractionation. The results showed that highest biomass found in glucose medium (14,27 g/L); the highest protease specific activity was found in 60-80% ammonium sulfate fractionation of molasses medium (120,17 U/ml) and 9,4 purification fold.
Bioindicator for environmental water quality based on saprobic and diversity indices of planktonic microalgae: a study case at Rawapening lake, Semarang district, Central Java, Indonesia
Authors: Hariyati R , Putro S P
Published: June 2019

Over the last twenty years, the aquatic environment of Rawapening Lake has been negatively impacted by increasing rates of sedimentation and rising levels of soluble organic materials. The uncontrolled growth rate of hyacinth and other aquatic plants, and the rapidly increased implementation of traditional fish cages are believed to be the main contributing factors, resulting in degraded water quality. Dynamic structure of phytoplankton can be used as a bioindicator. This study is aimed at understanding the phytoplankton community in Rawapening Lake and assessing the water quality based on saprobic and diversity indices. A purposive random sampling method was used to determine four sampling locations. The data were analyzed with the saprobic index, Shanon-Wiener diversity index, and domination index. The result of the study shows that a substantial amount of phytoplankton were dominated by the genus Melosira sp., Aulacoseria granulosa, Oscillatoria sp., and Synedra sp., with low to moderate diversity index values. The quality of the Rawapening Lake water environment based on the saprobic index value was categorized as β meso-Oligosaprobic, indicating very mild to light pollution.
Analysis of glycemic index of “Gula Semut” through blood glucose level test
Authors: Winarni S , Arifan F , Broto RTD. W , Fuadi A , Ramadhan R
Published: June 2019

The glycemic index is a measure developed to classify carbohydrate foods based on their physiological effects on blood glucose levels. The purpose of this study was to distinguish glycemic index of ant sugar compared to comparator (carbohydrate 50 gram). Respondents involved in the glycemic index test were 5 persons. Prior to treatment (fresh bread and “gula semut”) respondents fasting at least 10 hours. In the first stage respondents were given 50 grams of fresh bread measured blood sugar levels at 0 minutes (fasting), 15, 30, 45, 60, 90, and 120 minutes post giving bread. Respondents were rested for 3 days without heavy activity. The second stage of the respondents was given 50 grams of ant sugar and measured blood sugar level of 0 minutes (fasting), 15, 30, 45, 60, 90, and 120 minutes post giving “Gula semut”. Blood glucose measurement using finger-prick capillary blood samples method. Calculation of glycemic index to bread and “gula semut" obtained through calculation of area under the curve. The total area under the curve on the supply of bread 35.75% while the total area under the curve on the supply of “gula semut” 14.10%. The glycemic index of “gula semut” is low (<55%). Low glycemic index foods improve slowly blood sugar levels. So the “gula semut” does not raise the blood glucose levels quickly.
Ecotourism development strategy at minapolitan area of Menayu Village, Magelang District, Central Java, Indonesia
Authors: Putro S P , Wulandari A , Muhammad F
Published: June 2019

Menayu Village is one of the villages in the Muntilan District, Magelang Regency, Central Java which is one of the minapolitan areas based on Magelang Regent’s Decree (SK) No. 188.45 / 347 / KEP / 29/2011. Minapolitan area is a part of the area that has the main function of the economy which consists of production centers, processing, marketing of fishery commodities, services, and other supporting activities. The purpose of this study was to determine internal and external factors that support the development of ecotourism in the Minapolitan area and the appropriate ecotourism development strategies to be able to develop Menayu as the minapolitan area. SWOT analysis was used, involving internal strategy factors (IFAS) and external strategy factors (EFAS). The results showed that IFAS factors that support ecotourism development in the Minapolitan area include rural natural beauty, topography, diversity of plankton and fish in the area of fish farming, community support and the farm of red arowana fish (Schleropagus formosus), while weakness factors for tourism were infrastructure and lack of public knowledge. Supporting EFAS factors were the potential aquaculture sector, local government support, and stakeholders, the presence of red arowana fish (Schleropagus formosus) which are included in the IUCN category for endangered species. While the obstacles were unoptimal stakeholder support and the lack of transportation to the area from the district center. Priority strategies that can be applied based on the SWOT analysis are protection and conservation of ecotourism potential (conservation of aquatic resources and red arowana fish and the optimization of biological potential as a tourist attraction, as well as enhancing ecotourism support facilities.
Morphologic characteristics and population density of Teredo Navalis L in mangrove forest area, Wailukum East Halmahera Regency
Authors: Sinyo Y. , Anggoro S. , Soeprobawati T. R.
Published: June 2019

This study aimed to analyze the population density and distribution patterns of Teredo Navalis L in the mangrove forest area of Wailukum Maba, East Halmahera Regency. A survey method with deskriptive analysis used in this research, while the reseacrh location was determined using a purposive method. The research location is 100 meters long and 50 meters wide, making it 5,000 m2. The research location was divided into 4 stations. Station I in the north, station II at the center, station III in the east and station IV in the west. At each station, five transect lines were made using a rope and 5 plots were placed alternately with a size of 10x10 meters. The results showed that there were three morphological characteristics of T. navalis L. These carakteristics divided in mangrove logs based on body measurements 0f 60 cm long, 30 cm long and 15 cm long. The population density of T. navalis L at the four stations varied between 1-2 ind / m2. the highest population density was measured at station II (2 ind/m2) and the lowest was measured at station III (1 ind/m2).
Applications of mycorrhiza on potato growth and productivity
Authors: Susiana Purwantisari , Rukmi Isworo , Jannah Siti Nur
Published: June 2019

Mycorrhiza is a root plant symbiont functioning to increase mineral and nutrients absorption. Mycorrhiza fertilization to potatoes has to be monitoredin order to observethe effects of mycorrhiza on the growth of potatoes. Therefore, theaim of thisstudy was to analyze the effect of mycorrhiza on potato growth and production. This field research was conducted in Kledung village, Temanggung (1,138 masl) from 25 March to 25 June 2018. The method used was separated block design with 4 treatments and 20 replications in each plot. The first plot (P1) was the plot without treatment; the second plot (P2), positive control, was the plot treated with chemical fertilizer;the third plot (P3) was plot treated with organic fertilizer Bokasi and Trichoderma; and the fourth plot (P4) was fertilized using mycorrhiza. The data related to growth and production were analyzed using ANOVA and Tukey’s test; while, to determine the best type of fertilizer among treatments t-testwas used. The results showed that mycorrhizal application significantly increased height (20.12 cm p ≤ 0.05), the number of leaf (32.47, p ≤ 0.05), and potato production (213.70 gr). It can be concluded that the use of mycorrhiza significantly increased the growth and production of potato.
The autoalelopathic potential of the Siam weed (Chromolaena odorata l.) leaf extract as a natural herbicide
Authors: Ziadaturrif’ah D , Darmanti S , Budihastuti R
Published: June 2019

The siam weed (Chromolaena odorata L.) has allelochemical compounds capable in inhibiting the growth of surrounding plants so that it has the potential as a natural herbicide to control various weeds including autoallelopathic weeds. This study aims to examine the effect of siam weed leaf extract at different concentrations on germination and initial growth of the Siam weed seed. The study used a Completely Randomized Design of one factor in the form of extract concentrations of 0%, 5%, 10%, 15%, and 20%. Germination method was carried out on petri dish and observations are carried out every 24 hours, and the treatment was stopped after 100% germination occurred at least in one petri dish. Each treatment was done with five replications — parameters measured as a percentage of germination and germination rate, initial germination including hypocotyl length, radicula length, and fresh weight. Data were analyzed by Analysis of Variance (ANOVA) and continued with Duncan’s Multiple Range Test (DMRT) at 95% confidence level. The results of this study showed that the Siam weed extract inhibited germination and initial growth of the Siam weed seed sprout, the higher concentration of the Siam weed extract the highest, inhibition of germination and initial growth of the Siam weed seed.
Distribution of total suspended solids (TSS) and chlorophyll-a in Kendari Bay, Southeast Sulawesi
Authors: Fanela M A P , Takarina N D , Supriatna
Published: June 2019

Kendari Bay is receiving direct pressure from land clearing. This activity leads to sedimentation to the estuarine area. The sedimentation rate in Kendari Bay reaches up to 143,147 m3/year. The high amount of total suspended solids will impede light penetration. As a consequence, it will decrease the rate of photosynthesis, thus decreasing chlorophyll-a content. This research was aimed to understand the relationship between distribution total suspended solid (TSS) and chlorophyll-a concentration in Kendari Bay. Water sampling was done between January 21 and February 6, 2018. TSS and chlorophyll-a were measured in the laboratory. Data of TSS and chlorophyll-a from 2010 to 2018 were downloaded from Landsat 5 TM and Landsat 8 OLI. ENVI 5.1 and ArcGIS 10.1 software was used to visualize the distribution into a map. The relationship between two parameters was analyzed using linear regression. The TSS showed a linear increase from 2010 to 2018 with a concentration higher than 50 mg.l−1. The correlation between TSS and chlorophyll–a showed a negative correlation (0.6376) which indicated that the higher TSS, the lower the chlorophyll-a.
Effect supplementation of turmeric powder (Curcuma longa L.) on histomorphometric duodenal female Melopsittacus undulates
Authors: Baehaqi I , Saraswati T R , Yuniwarti E Y W
Published: June 2019

Turmeric powder supplements contain curcumin and essential oils that can increase parakeet production. The aims study to analyze effect supplementation turmeric powder (Curcuma longa L.) on duodenal female parakeets (Melopsittacus undulates). This research used ten female parakeets aged four months. Research used a randomized design complete with two treatments and five replications. The treatment was P1 as control and P2 with supplement turmeric powder dose 35 mg/bird/day for 30 days. The result using t-test showed that effect turmeric powder did not make significant (p> 0.05) on body weight, feed consumption, gastrointestinal length, and duodenal histomorphometry (villi height, villi width, crypt depth, and mucosal muscular thickness). The conclusion is supplementation turmeric powder on female parakeets (Melopsittacus undulates) not effect on body weight, feed consumption, gastrointestinal length, and duodenal histomorphometry (villi height, villi width, crypt depth, and mucosal muscular thickness). Supplementation turmeric powder dose 35 mg/bird/day not positive impact on the digestive system of parakeets.
Characterization phosphate-solubilizing marine actinobacteria associated with Sargassum Sp from Menjangan kecil island, Indonesia
Authors: Lunggani A T , Suprihadi A.
Published: June 2019

Phosphorus plays a crucial significant role in all life forms. Microbes have the ability to convert several forms of phosphorus into dissolved forms, so that they can also be used in the phosphorus cycle process. The aim of this research were to explore, screen, phenetic and molecular identify the phosphobacteria naturally colonized and associated with Sargassum sp. from the Menjangan Kecil Island, Karimunjawa. Total of 23 bacterial isolates associated with Sargassum sp. were screened. All isolates obtained were tested for their ability in phosphate dissolution activity in Pikovskaya agar medium. Three different isolates showed the largest dissolution activity around bacterial colonies selected for quantitative estimation of phosphate solubilization. The next screening was to choose one candidate isolate based on its highest ability in dissolving phosphate and then identifying its identity based on phenotypic character and 16S rRNA gene. Quantitative estimation of phosphate solubilization PSB isolates MBS3R was 149,32 μg P ml-1 was analyzed for 120 hours of incubation at room temperature. MBS3R isolate is a strain of Microbacterium sp, which is taxonomically included in the class of Actinobacteria, genus Microbacterium.
Application of cinnamon and gotu kola supplements for increasing quail hematological status (Coturnixcoturnix-australica)
Authors: Mas’adah S M , Sunarno  , Djaelani M A
Published: June 2019

Cinnamon and gotu kola are herbal plants that are rich in polyphenol-type antioxidants. This type of antioxidant has been known to have an important role in stimulating an increase in biological function, especially hematological status. Quail with increased haematological status can be known from hemoglobin levels and erythrocyte counts per mm3 of blood. The aim of this study was to analyze the hematological status of quail Australian strains by adding cinnamon and gotu kola leaves supplements with variable hemoglobin levels, erythrocyte levels, and body weight supporting variables. The study design used a Completely Randomized Design consisting of 8 treatments with 3 replications. The treatment given includes control, feed supplemented with cinnamon bark powder 5% or 10%, supplementation of gotu kola leaf flour 5% or 10%, combination of cinnamon powder flour supplement with gotu kola (5%: 5%, 5%: 10 % or 10%: 5%). The results of the study were analyzed by Analysis of Variance (ANOVA) which continued with Duncan’s Test at a significance level of 5%. The results showed that the supplement of cinnamon bark and gotu kola leaves in feed gave a significant effect on body weight, hemoglobin levels, and the number of erythrocytes (P <0.05). A combination of gotu kola cinnamon-bark supplement with a ratio of 5%: 10% gives an effect on increasing hemoglobin and erythrocyte levels with a higher value than other treatments, which is equal to 13 g / % and 2,588,000 per mm3. Quail body weight in each treatment was not significantly different. The conclusion of this study is the addition of combination combinations of gotu kola cinnamon flour with a ratio of 5%: 10% can improve the hematological status of quails, so that the composition of this combination of ingredients can be used to increase the productivity of Australian strains quail laying.
Effect of combination explant difference leaf part and concentration of active charcoal on callus initiation mangrove (Rhizophora Apiculata BI) by in-vitro
Authors: Fitriana D , Prihastanti E , Nurchayati Y , Hastuti R B
Published: June 2019

Rhizophora Apiculata BI is one of the mangroves that has many benefits, but to cultivate naturally takes a long time. The alternative to such problems is culture cultivation in vitro. One stage of in vitro culture is through callus formation. Initiation of callus in mangrove plants is inhibited because explant release phenol compound that causes browning. Thus, it takes explant and charcoal active in a medium that can support growth explant. The purpose of this research is to study the effect of the combination of leaf explant and different activated charcoal concentration on callus initiation, to analyze the color and texture of callus produced, and to study the effect of the combination of leaf explant and different concentration of activated charcoal on the growth of explant. The basal medium used was Murashige and Skoog (MS) formula with the addition of NAA 1 mg/L and BAP 0.3 mg/L, and activated charcoal at concentration 4, 12, 20 g/L as the medium treatments. A different section of explant between base and tip of leaves combined with active charcoal were grown in MS medium. Each treatment was conducted three replications. The results showed that the combination of explant section, i.e. base of the leaf as well as activated charcoal with a concentration of 12 g / L could induce callus formation. The color and texture of callus were brownish yellow and compact. The best growth (0.1685 g) of callus was obtained at the leaf tip section combined with 4 g / L activated charcoal.
The Structure of Plankton as An Environmental Indicator for Water Management in Upper Part of Rawapening Lake, Semarang Regency, Indonesia
Authors: Hidayat J W , Hastuti R B , Hadi M , Yulianto G
Published: June 2019

The quality of Rawapening waters is constantly changing over time. The bloom growth of water hyacinth, fishery aquaculture activities and environmental pressures are getting heavier as expressed as eutrophication. This will affect in plankton composition. Plankton can provide an indication of changes and environmental quality, especially of its biotic structure and biodiversity. The upper part of Rawapening lake, similar to other part of the lake, is enriched with semi and aquatic plant. The purpose of this research is to analyze the condition of plankton currently, so that it can understand the change of water quality to support lake and fishery managements. The study was conducted in June 2018 on the upper parts of Rawapening Lake, particularly the southern side where many spring waters appear. Plankton collection was done by sampling using plankton net no 25. Data analysis was conducted descriptively and semi-quantitative using community structure including diversity, evenness and domination indices. The results showed that common plankton species found were Melosira sp, Synedra sp and Chlorella sp. Aulacosiera sp is quite abundant in all five stations reaching a range of 34-153 individuals / lt. In term of ecosystem stability, the waters are qualified as small to moderate stability conditions (H index :1.04 - 2.18) The species abundance tend to be small, especially in the spring station, which is associated with low water nutrients from springs. Aulacosiera sp is still dominate the plankton component for some station. The species which previously experienced a high domination, especially the Aulacoseir
a spp, change into a minority. This condition is mainly related to the changing physical condition of environmental. This, at a glance shows that the former water source area is still in good quality at this time experiencing enrichment. This is related to the increasing fishery practices of floating cage net of cultivation area approaching the spring water areas. The limitation and regulation in this area are urgently implemented and enforced, because clean water supply is important for the supply and circulation, which is not only for culture practice but also the lake in general.
Analysis of Pb residues on seaweed gracillaria spp in Randusangan District, Brebes, Central Java, Indonesia
Authors: Madusari B D , Hidayat J W , Permatasari M N
Published: June 2019

Heavy metal content in water always changes depending on lithology and disposal of contaminated waste. Heavy metals are difficult to decompose in water and are easily bound in sediment so that the more sediment accumulation, the greater the heavy metal content. Heavy metals have toxic effects on humans and other livings, accumulate in the body of an organism and stay for a long period. This compound can lead to a decrease in water quality which will affect the fishery and in pond cultivation. One of the important heavy metal pollutants is lead (Pb), which is usually came from many sources. The purpose of this study was to determine the concentration of lead in seaweed, pond water, and sediment. This research was conducted in March 2018 from 6 pond stations. This research was conducted using descriptive and statistic analysis. Analysis of Pb compound is done using AAS (Atomic Absorption Spectrophotometry). The results of the analysis of Pb content in seaweed ranged between 0.0163-0.1377 mg / kg. Pb content in pond water range from 0.0087 -0.0137 mg / lt and the Pb content in sediment range between 1.2703-2.3594 mg / lt. Based on the analysis, the Pb content is most abundant in sediments where the Pb content has exceeded the threshold value (SNI) of 0.3 mg/kg. Pb content on seaweed and pond water are still within the standard value of Pb metal contamination (BPOMRI No. 23 of 2013) which is 0.20 mg/kg. The relationship between Pb content in seaweed to the water is categorized as a weak (R = 0.073), it is similar to the seaweed with sediment (R = 0,28).
The effect of straw substrate variation in production of celluase enzyme by Serratia marcescens
Authors: Wijanarka  , Budi K L , Kusdiyantini E
Published: June 2019

Indonesia is a country with vast agricultural land, especially rice fields. Unfortunately, rice crops cause a problem of rice straw waste. The waste of rice straw consists of 38% cellulose, 24% hemicellulose and 8% lignin. The study aimed to assess the production of cellulose by Serratia marcescens in straw substrate medium. The research design was Completely Randomized Design. Variations of rice straw substrate were denoted by (S0; S1; S2; S3) within incubation period for 16 hours. Data analysis was analyzed using SPSS one-way
A
NOVA (α = 0.05). The result showed that variations of rice straw substrate concentrations correlated with the production of cellulose at 0.28 U/mL. The result of statistical analysis using DMRT Test showed a significant difference in every treatment (p≤0.056)
The use of Macroalga Sargassum sp. and Gracilaria verrucosa in improving Sandy and Clay Soil fertility
Authors: Izzati M , Haryanti S , Setiari N
Published: June 2019

Macroalgae, such as Sargassum and Gracilaria have a great potential to be used as soil conditioner. Addition of macroalgae powder into a certain type of soil could significantly change soil fertility. The presence of gelatinous material in Sargassum and Gracilaria are predicted to be able in changing the chemical characteristic of soil, including organic material content, pH and C/N ratio. This study was focused on the evaluation of soil fertility sandy and clay soil after addition of Sargassum and Gracilaria powder as a soil conditioner. The collected macroalga was dried and soaked in fresh water several time to lower its salinity to reach into a normal level. The dried powder of Sargassum and Gracilaria were added and mixed through into sandy and clay soil (in a composition of 25%:75%). Treated soil was measured for their physical, chemical and physiological properties changes. Each treatment was replicated three times. Data were analyzed using ANOVA single factor and t-test. Results indicated that the addition of soil conditioner from macroalga Sargassum and Gracilaria were significantly increasing organic material content. Addition of Sargassum powder increased organic material more than Gracilaria. C/N ratio in sandy and clay soil was reduced by the presence of this both soil conditioner. Therefore, there was a strong indication in increasing in supporting for more soil fertility. The presence of macroalga was proven also in reducing pH to a normal level. It is recommended to develop this material to improve soil fertility and plant growth.
Vegetation analysis the waterfalls Curug Sewu in village Curug Sewu subdistrict Patean Kendal regency
Authors: Sunarmi  , Hidayat J W , Muhammad F
Published: June 2019

Vegetation of plants is part of a biotic component that occupies a particular habitat. The structure and composition of vegetation in an area is influenced by other components of interconnected ecosystems, so that vegetation that grows naturally in a particular area is the result of interaction of various factors that influence. Plants around Curug Waterfall Area Sewu Village Curugsewu Patean Kendal District is one of the natural resources that support the development of ecotourism in the region.The potential of landscapes and the diversity of plants and the beauty of waterfalls is very potential for the development of nature-based tourism. The Key Values (INP) index of a kind is a value that describes the role of the existence of a species within the community.Based on the data obtained from the research results got the value of INP at station I in obtaining the important value index for the highest tree level on Acacia (Acacia denticulata) the value of its INP 124.5%. The highest value of INP poles on Randu (Caiba pentadra) with a value of 51.95%. The highest value of INP value is Salak (Salacca.Sp) with 81,79%, while at semi level on Grass Puzzle (Cyperus rotundus) with value of 76,35%. At station II obtained Indek Value important for the highest value of tree value in Mangir (Ganophyllum falcatum) which value 59,83%. For the highest pole level on Lamtoro (Nephila maculate) with value 57,19%.While the highest value of INP value in Aren (Arena pinnata) with INP 156,85%, then for highest spring INP level on Grass Teki (Cyperus rotundus) with value 54,29%. A high Important Index score on a plant as mentioned above illustrates that the plant has an important role in forming a plant vegetation and microclimate within the area around Curug Sewu Waterfall in Patean.
Genetic algorithm based sentence packaging in natural language text generation
Authors: Devyatkin Dmitry , Isakov Vadim , Shvets Alexander
Published: June 2019

Sentence packaging is an important task in natural language text generation which could be treated as a particular kind of a community detection problem. We propose an approach based on genetic algorithm and predictive machine learning models to advance it. The approach allows handling large ontological and semantic structures in a form of a graph to produce well-formed sentences. The results of experiments showed that the genetic algorithm optimizing the modularity measure gives comparable results to ones achieved by a traditional community detection algorithm and outperforms it on a collection of relatively short texts. The design of an approach allows for further introducing linguistic characteristics into a fitness function that gives it a high potential to increase the quality of detected packages while taking into account the specificity of the domain.
An approach for initializing the random adaptive grouping algorithm for solving large-scale global optimization problems
Authors: Vakhnin A , Sopov E
Published: June 2019

Many real-world optimization problems deal with high dimensionality and are known as large-scale global optimization (LSGO) problems. LSGO problems, which have many optima and are not separable, can be very challenging for many heuristic search algorithms. In this study, we have proposed a novel two-stage hybrid heuristic algorithm, which incorporates the coordinate descent algorithm with the golden-section search (CDGSS) and the random adaptive grouping for cooperative coevolution of the Self-adaptive Differential Evolution with Neighborhood Search (DECC-RAG) algorithm. At the first stage, the proposed algorithm roughly scans the search space for a better initial population for the DECC-RAG algorithm. At the second stage, the algorithm uses the DECC-RAG framework for solving the given LSGO problem. We have evaluated the proposed approach (DECC-RAG1.1) with 15 most difficult LSGO problems from the IEEE CEC’2013 benchmark set. The experimental results show that DECC-RAG1.1 outperforms the standard DECC-RAG and some the state-of-the-art LSGO algorithms.
Multi-criteria fuzzy model for system technical condition estimation at the life cycle stages
Authors: Korshunov G I , Smirnov V A , Milova V M
Published: June 2019

The article describes the tasks of in-depth estimation of the systems technical condition based on fuzzy ideas about the behavior of parameters within the tolerance limits. The proposed approach allows to more accurately control the influence of influencing factors at different stages of the life cycle of systems compared with the known methods. The approach is based on the application of six local criteria and a comprehensive criterion for assessing the level of system working capacity. The criteria are based on time series, linguistic variables, membership functions, and the proposed fuzzy classifier algorithm. Taking into account the peculiarities of the dynamics of changes in parameters in the tolerance field provides new opportunities for managing the life cycle processes of systems. The value of the evaluation of the level of working capacity is defined as the left most maximum of a fuzzy set for the corresponding output linguistic variable or the smallest of the modal values if the fuzzy set has several modal values. The quantitative estimation of working capacity is complemented by a qualitative estimation, expressed in the form of a linguistic description of the level of working capacity and degree of evaluation confidence in the result of recognition, understandable to the end user and convenient in making management decisions and developing recommendations at the stages of the life cycle.
Innovation development of agroindustrial enterprises: the use of a platform-based business model
Authors: Mitin A N , Sokolov K O , Garipov R I , Sokolova M I
Published: June 2019

We determined the possibilities of using multiple platforms not only to increase the number of users, and, thus, to produce a network effect and boost of sales, but also to develop the innovation activity of food and processing enterprises that adopted a platform-based business model. We studied the processes of value creation proper to the platform-based model of business organization. It was shown that network effects are a leading factor in the effective platform scaling that attracts users. We highlighted the advantages of a platform-based business model as compared to the traditional linear business model of enterprises in food and processing industry.
Nonparametric algorithm of electronic components test data pattern recognition
Authors: Koplyarova N V , Chzhan E A , Medvedev A V , Korneeva A A , Raskina A V , Kukartsev V V , Tynchenko V S
Published: June 2019

The paper discusses the quality diagnostics of electrical radio components based on the results of non-destructive testing. A proposed clustering algorithm does not require preliminary information on the number of classes and the training sample. The algorithm allows to automatically determine the number of classes. The division into classes is due to the different characteristics of the measured variables, which correspond to different product quality ranges.
Formation of models of industrial cooperation management of machine-building enterprises in the transition to a digital manufacturing
Authors: Belyakova Galina , Belyakov Gennady , Fokina Darya
Published: June 2019

This paper considers the necessity to form models for managing the industrial cooperation of engineering industry enterprises in the transition to a digital manufacturing. A new production processes model, the so-called digital manufacturing, offers enterprises a wide range of modified tools for stimulation of industrial cooperation relations. The research focused on formation management processes of industrial cooperation among machine builders, and the studding tasks and main stages of the management of industrial cooperation. New models should take into account not only the new opportunities of the digital manufacturing, but also the specifics of machine-building enterprises and the features of their products.
Analysis of foreign models for assessing the probability of bankruptcy and their application in Russian practice on the example of the public joint-stock company AVTOVAZ for the 2014-2016
Authors: Perevozhikov Nikita , Danilov Roman
Published: June 2019

There is an unstable economic growth in recent years, as well as unstable macroeconomic situation in general, so managers need to analyze not only the current financial condition of the enterprise, but also constantly to diagnose the probability of bankruptcy in the future. The paper carries out the analysis of foreign models for assessing the probability of bankruptcy, as well as Altman Z-Score and Altman-Sabato model which is based on logistic regression. Main attention is paid to application of models in Russian practice on the example of the public joint-stock company AVTOVAZ for the 2014-2016 years.
Peculiarities of training of high-tech enterprise specialists under modern conditions
Authors: Novikov Sergey V
Published: June 2019

This paper presents the transformations in the aviation industry that characterize the advent of a new industrial revolution and proposes a calculation of the complex indicator of the assessment of the effectiveness of training considering the new competences that characterizes the dynamics of modern changes. Also, it shows the results of using this model and analyzes the role of learning organizations in this era of change.
Trends and experience of preparing Russian enterprises for certification for compliance with ISO 9000 standards
Authors: Rudyuk M Yu , Gerasimova A V
Published: June 2019

The aim of the work is to summarize and systematize the factors of positive and negative motivation for the implementation of ISO 9000 standards in the quality management systems of Russian companies. The task is to develop recommendations that help reduce organizational resistance to the introduction of the philosophy of total quality management and the ISO 9000 standards based on it. The hypothesis of the study is that cases of lack of real benefits from the implementation of ISO 9000 standards are usually caused by a formal approach when to a certain extent, the letter is observed, but the philosophy of standards is not perceived. The study used the following methods: analysis of literary sources, collection and analysis of data on the implementation of standards of ISO 9000 series in specific enterprises. Results achieved: an analysis was made of the organizational resistance to the implementation of individual provisions and the philosophy of ISO 9000 standards, arguments of opponents of using these standards (based largely on the negative experience of their implementation: bureaucratization of quality management, lack of real benefits, etc.) were systematized, and recommendations that increase the loyalty of the internal environment of the organization in the process of introducing standards were proposed (additional training of personnel, their material incentives and introduction of positive experience).
Directions of region innovation infrastructure development in the context of increasing the high-tech production
Authors: Borisova E V , Erygin Yu V
Published: June 2019

The paper discusses the problems of interaction of high-tech military-industrial enterprises with regional innovation infrastructure facilities and development institutions that determine the need for a regional innovation infrastructure that supports and stimulates innovative projects to increase high-tech civilian production using the innovative potential of these enterprises. The importance of innovation potential of military-industrial complex commercialization as the most important factor in the innovative development of the country is shown. The role and place of the regional innovation infrastructure in solving the task of increasing the high-tech civilian production by enterprises of the defence-industrial complex have been determined, and the need to support large-scale enterprises with regional innovation infrastructure facilities and development institutions has been substantiated. The purpose of the study is to substantiate the directions of development of the regional innovation infrastructure in the context of increasing high-tech civilian production of defence enterprises. The study used the methods of the survey, system and comparative analysis, which allowed ensuring the validity of the results and conclusions of the study.
Training video surveillance system for the purpose of object identification with the help of neural networks
Authors: Zhigalov Kirill , Avetisyan Karen , Markova Svetlana
Published: June 2019

Research on the development of algorithms for the use of neural networks associated with video surveillance systems on the identification of the desired objects today go to a whole new technological level. Categorization of classes-objects of research, determination of actual zones of fixation, integration of functions-cloud computing, analysis of incoming data and their evaluation determine the relevance in the creation of a trainable model that allows to solve a wide range of problems when working with the existing and the flow of incoming data in real time both at the state and at the level of transnational companies.