bluuebunny/crossref_metadata_2025 huggingface dataset:
Valuing risk of changes on corn (zea mays) prices by considering skewness and kurtosis parameters
Authors: Rahmawati R , Tarno  , Maruddani D A I , Hoyyi A
Published: June 2019

Value at Risk (VaR) is a measure of risk value by estimating the potential of maximum loss that might occur in future in certain time and a certain level of confidence. The risks faced in agriculture might be in production and marketing of agricultural products. This research aims to estimate the risk value in agricultural commodity – particularly dried shelled corn. Data used was the monthly data of the price of producers in Grobogan in period of November 2015 to July 2018. The data showed the return with the normally undistributed value of skewness and kurtosis. For this, the method of Cornish-Fisher was used in this research to measure the VaR in return that was normally undistributed. At the confidence level of 95%, with the initial capital of 1 million Rupiah, the risk that probably occurred in the following month (1 period) was by Rp 369,173.40 without considering the skewness and kurtosis, and by Rp 22,439.13 by considering skewness and kurtosis. The result of the research showed that, for the return that was normally undistributed, the level of risk obtained from the measurement of VaR by concerning skewness and kurtosis was found more accurate compared to the one without considering the skewness and kurtosis.
Analysis of aquaculture leading commodities in Central Java using Location Quotient and Shift Share methods
Authors: Manullang D , Rusgiyono A , Warsito B
Published: June 2019

The condition of capture fisheries is currently stagnating, even tended to decline, which is indicated by the decrease of production in some fishery development areas in Indonesia. Aquaculture is one solution that can be done. Central Java Province is a province that has a large aquaculture potential, therefore of course Central Java province has leading commodities that become the sector of regional economic development. This research discusses about the potential location for the development of each leading commodities in Central Java Province as a recommendation related to the center of fisheries production. Analytical methods in this research are Location Quotient (LQ) and Shift share. It used to see how big these locations have a potential in the development of aquaculture production and to identify spatial autocorrelation in the amount of aquaculture production using Moran’s index. The analysis of LQ and shift share shows that each district has a different potential in the development of leading commodities production. The value of the Moran’s index obtained equal to -0.1381, that is in the range of -1 < I ≤ 0, indicating that the presence of spatial autocorrelation is negative but small because of near to zero. It can be concluded that there is no similarity of the values between the districts or indicate that amount of aquaculture production among the districts in Central Java is not correlated.
Modeling longitudinal data based on Fourier regression
Authors: Suparti  , Santoso R , Prahutama A , Devi A R , Sudargo
Published: June 2019

Regression analysis is an analysis in statistics for modeling the relationship between predictor variables and response variable. Regression analysis can be performed by two approaches; parametric and non-parametric models. Some commonly used estimators of nonparametric approaches are spline, local polynomial, kernel, wavelet, and Fourier. Fourier nonparametric regression is a regression based on Fourier series with cosine and sinus patterns. Regression analysis can be explored, not only for cross section data but also for longitudinal data. Longitudinal data is an observed data of some uncorrelated subjects, and each subject was observed for some periods. This research developed a nonparametric regression approach for longitudinal data by using Fourier series. One of the advantages of Fourier series is it combines additive that is able to overcome the data with recurrent and high fluctuations. The research use data with 3 subjects and 128 observations. The Fourier model by combining additive linear functions and cosine functions is more suitable for modeling repeated data that has an element of trend, as the 2nd sector.
Modelling rice production in Central Java using semiparametric regression of local polynomial kernel approach
Authors: Utami T W , Prahutama A , Karim A , Achmad A R. F
Published: June 2019

Indonesia is an agricultural country with rice as one of the staple foods. Production of rice in the province of Central Java is the highest in Indonesia. The purpose of this study was to model rice production in 31 districts / cities in Central Java Province using semiparametric regression. Semiparametric regression is a combination of parametric and nonparametric regression. Parametric regression curves have a patterned, for example linear, quadratic, and cubic. Nonparametric regression has a smooth curve of the unknown pattern, so in this case required smoothing technique used to smooth curves that one of them is the local polynomial kernel approach and the election of bandwidth the optimal using method Generalized Cross Validation (GCV). Variables used in the study of the production of rice as the response variable, while the predictor variables that harvested area and rainfall. The data used are secondary data from the official website of Central Bureau of Statistics (BPS) of Central Java. Based on the results obtained by applying the model the optimal bandwidth values is 0.43 and polynomial order p = 2 when the minimum GCV so the results of the estimation model R2 is 0.968
Extreme rainfall prediction using spatial extreme value by Max Stable Process (MSP) Smith model approach
Authors: Yasin H , Hakim A R , Warsito B , Santoso R
Published: June 2019

This research covers Spatial Extreme Value method application with Max-Stable Process (MSP) approach that will be used to analysis Extreme Rainfall in Semarang city. Extreme value sample are selected by Block Maxima methods, it will be estimated into Spatial Extreme Value form by including location factors. Then it transform to Frechet distribution because it has a Heavy tail pattern. Max Stable Process (MSP) is an extension of the multivariate extreme value distribution into infinite dimension of the Extreme Value Theory. MSP using Generalized Extreme Value (GEV) approach, it has three forms distribution that is Gumbel, Frechet and Weibull. Extreme Value Samples that are selected by Block Maxima will follow GEV distribution. The best model that obtained based on Max-Stable with Smith model can be used to predict Extreme Rainfall by count Return Level. Then can be further analysis of various aspects, so it can provide a suggestion about the potential of natural disasters which are caused by extreme rainfall. Extreme rainfall prediction using the Smith model in the return period of the next two years, at the Semarang City Climatology, Tanjung Mas and Ahmad Yani Station is predicted to be a maximum of 100.7539 mm, 100.1052 mm, and 109.9379 mm.
The shortest path search application based on the city transport route in Semarang using the Floyd-warshall algorithm
Authors: Khamami A , Saputra R
Published: June 2019

City transportation is a motorized vehicle with a fixed line that connects one area to another in one city. Information about the city transportation route in Semarang has been provided by the Department of Transportation of Semarang city which contains the code and route. The development of science regarding the route search algorithm method or the shortest path can be used to support the path search based on the city transportation route. A geographical information system is a system designed to work using data that has spatial reference spatial information. At this time the technology has not been applied optimally to support the search for the shortest route of urban transport based on the city transportation route. This study aims to develop the application of the shortest pathway determination based on the city transportation route in Semarang using the Floyd Warshall algorithm based on Geographic Information System. City transportation route data can be implemented in graph form. The process of establishing a path graph is based on the road protocol traversed by Semarang city transportation. In this research, Floyd-warshall algorithm was successfully implemented in the Shortest Path Determination Application based on the City Transport Route in Semarang. Based on the results of testing the Floyd Warshall algorithm calculation by comparing manual calculations and calculations generated by the application, producing the path with the shortest distance the same so that the application gives the correct results. The results of usability testing which include aspects of ease, efficiency, easy to remember, errors and satisfaction in this application get a percentage overall 92,9% with very good qualification results. This application displays route maps. codes and trip descriptions from the initial position and destination position that can be selected by city transport users in Semarang
Clustering student behavior based on quiz activities on moodle LMS to discover the relation with a final exam score
Authors: Waspada I , Bahtiar N , Wibowo A
Published: June 2019

One strategy in using the Learning Management System (LMS) is to provide activities that can be accessed by students as learning material. The problem is that the teacher cannot see the students’ online activity directly. In this study, the students’ behavior was discovered from the e-learning log file on the quiz activity. Quis activities are performed six times and end with a final exam. Four attributes were proposed as the student behavior model, they are the frequency of repeating quiz work (freq), the duration on each quiz work (our), increased score when repeating the quiz (perf), and the best score of all attempts (best). The preferable clustering result using K-means algorithm was obtained with 2 (two) clusters. Each cluster was paired with the final exam score which shows that the percentage of failures in cluster_0 is 85%. This result corresponds to the centroid value in cluster_0 that is lower in all attributes compare to the cluster_1. It concludes to evidence that the activity of working on online quizzes has a relation with the final exam score. This information can be used for early intervention by the teacher to prevent the student from failing.
Mobile-based sensor notification application
Authors: Warandi H A , Wirawan P W
Published: June 2019

According to National Census of Fatal Occupational Injuries survey conducted by the U.S. Bureau of Labor Statistic in 2015, there were 4836 workers killed on construction sites due to illness and fatalities, 9% injuries were due to the exposure to the hazardous environment. Wireless Sensor Networks (WSNs) is one of the technologies used to access information from the environment and sent to the computer for analysis, thus reducing exposure to the hazardous environment. However, the state of danger is not yet known to the worker directly. Fortunately a mobile application can overcome this problem by receiving notification from the sensor device. In this paper, we propose a mobile application that can receive notification from the sensor device. We design our application to communicate to the sensor device that connected to the server. Our application can receive notification if there is an alteration from sensor data such as change of normal status to dangerous status or vice versa. Notification delivery was sent by using Firebase Cloud Messaging (FCM) to send notifications to Android. In the implementation, the application can receive notification of change of status sensor data equipped with sound when notification received.
Performance comparison of machine learning methods for prediction of estimating water production
Authors: Widowo A P , Sarwoko E A , Suhartono
Published: June 2019

The Regional Water Company (PDAM) of Grobogan Regency has endeavored to provide clean water services to the people of Grobogan Regency as much as possible. Although it has been running so far, PDAM still has several problems related to clean water production, among them is the increasing number of customers resulting in demand for clean water increases, not only that, the water loss factor is still high enough that the distribution of water is not going well. Therefore, a study is needed to consider the problem-solving in the form of clean water production prediction that can help PDAM determine policy regarding water production. This study performs a comparison of machine learning method to predict water production of PDAM Grobogan District. The methods used in the prediction are Neural Network, Deep Learning, and k-Nearest Neighbor. Processed data are influencing factors in producing clean water, including the number of customers, the amount of water sold, the amount of water loss and the amount of water source discharge. Data obtained from PDAM monthly reports for the last 5 years (January 2011 - December 2015).
Optimization of neural network for cancer microRNA biomarkers classification
Authors: Wibowo A , Wiryawan P W , Nuqoyati N I
Published: June 2019

Cancer is still a significant problem for people today because it is one of the biggest causes of death in the world. Based on GLOBOCAN data in 2018, breast cancer accounted for the world’s largest cancer mortality rate in women by 6.6% with total deaths amounting to 626,679 from 2,088,849 cases of cancer in the world. The high mortality rate of breast cancer is caused by the lack of effective early detection of the disease. MicroRNAs play an essential role in regulating cell division cycles, apoptosis, senescence, migration and cell invasion, and metastasis. The expression of microRNA in breast cancer shows a pattern compared to normal breasts, thus indicating its role as a potential diagnostic marker. Cancer classification using microRNA as a feature has been done in previous studies using Neural Network Backpropagation, however without optimization and tuning parameters. In this paper, we investigated the best optimization algorithm and tuning parameter of neural network backpropagation for cancer classification using microRNA feature. The optimization algorithms were Gradient Descent, Momentum, AdaGrad, AdaDelta, RMSProp, and Adam. The result of the experiment showed that Adam and RMSPop optimizer produced high accuracy which reached 98.536% and 98.54762% accuracy.
Sentiment analysis of hoax news toward the election 2019 based on student perspective
Authors: Sumardi D G F A , Nurmalasari Y , Kurnianto B D , Kesumawati A
Published: June 2019

In the era of science and technology development and the high number of social media usage in Indonesia instead of becoming a media provocation and hoax dissemination media that is troubling and judged can be a severe threat to national stability. Students are referred to as learned society in the hope of being a golden generation who is always capable of being a change agent in the structure of society. Therefore, in this research, the source of data is UII student’s opinion that was collected, using sentiment analysis, the researcher wants to know how the sentiment based on their response to the hoax news ahead of the 2019 election. Which hopefully can give solution and anticipate the heat of the political situation in Indonesia ahead of the next election 2019 and can educate students to care about social and political problems in Indonesia for the common good. Based on 395 respondents, it was concluded that UII student sentiment toward hoax news spread before the 2019 election was negative is 72,1%. The conclusion is the sentiment of UII students tends to be negative towards the spread of hoax news ahead of the 2019 election.
Static and dynamic alliance: the solution of reliable internet bandwidth management
Authors: Aryotejo G , Mufadhol M
Published: June 2019

In this study, we present a comprehensive study about the performance of Static and Dynamic Alliance method that can enhance the performance of PCQ. Moreover, the objective of this study is to combine the method of static and dynamic bandwidth management to become Static, and Dynamic Alliance focused on the performance of Static and Dynamic Alliance method through analysis the download speed between PCQ and Static and Dynamic Alliance method. The router fetched bandwidth usage data and PCQ bandwidth allocation data. Those data will be processed and fed into the control system. Using Per-Connection Queue (PCQ) analysis, evaluation of data transfer speed between static, dynamic and combination of both methods have been done. We found that when the PCQ Method was utilized, IDM has a higher bandwidth compared to Google Chrome. During download task processing without canceling or pausing, the application of static and dynamic alliance method of management bandwidth has been conducted into the router successfully. Both IDM and Google Chrome receive an equal amount of bandwidth. Combination of static and dynamic methods in response to internet download accelerator application provide more efficient bandwidth allocation significantly. Those strengthen that static and dynamic alliance is a feasible solution of reliable internet bandwidth management and it is recommended to apply this method for improvement of dynamic method.
Low phosphate latosol soil utilization for cotton plants cultivation by modifying soil structure and vam fertilizer application
Authors: Suprihadi A
Published: June 2019

According to the need of land to fulfill the program of Intensifikasi Kapas Rakyat (IKR), such alternative land that has been underutilized optimally is needed to be found to anticipate the low capacity of growth. This research tries to improve the soil structure of latosol which has massive structure but has low phosphate availability for cotton cultivation Delta Pine 45 A varieties. A. Biological fertilization in the form of VAM spore inoculant is expected to help phosphate soil is absorbed by the plant. Improved soil structure of latosol by mixing its top soil part with river sand in comparison of 2:1. VAM mushroom spores were isolated by wet sieving and inoculated when cotyledon plants formed a broadcast inoculation with a dose of 50 spores per plant. Observations on cotton plant growth include plant dry weight, cotton fruit, phosphate levels of plant tissue during vegetative and reproductive phases, and the callcula ion of the intensity of VAM infections in plant roots. Soil with repaired structure and is VAM-infected, showed significant cotton growth carrying capacity to its control. Plant dry weight increased by 85%, the intensity of infection increased by 28%, tissue phosphate level increased by 83%, and cotton fruit increased by 92%. Restoration of latosol soil structure and use of VAM biological fertilizer could be an alternative extensification of agricultural land for cotton plants.
Antimicrobial activity of the combination of red galangal (Alpinia purpurata K. Schum) and cinnamon (Cinnamomum burmanii) essential oils on Escherichia coli and Staphylococcus aureus bacteria
Authors: Rialita T , Radiani H , Alfiah D
Published: June 2019

Essential oils from spices such as red galangal and cinnamon are known to have antimicrobial activity that is strong enough against pathogenic and food destroying bacteria, so it has the potential to be developed as a preservative, especially in food. High antimicrobial activity is generally obtained at high concentrations, which can affect sensory acceptance when applied to food. One way to overcome this problem is to combine the use of essential oils. This study aims to determine the effect of the ratio of the combination of red galangal and cinnamon essential oils to its antimicrobial activity on Escherichia coli and Staphylococcus aureus bacteria. The research was carried out with an experimental method which was analyzed descriptively. Antimicrobial activity testing was carried out by the agar diffusion method and contact method to determine the inhibition growth of E. coli and S. aureus bacteria. The treatment consists of 5 ratios combination of red galangal and cinnamon essential oils, which were 1:0, 0:1, 1:1, 1:2, and 2:1 (v/v). The results showed that the ratio of the combination of red galangal and cinnamon essential oils showed a strong effect on antimicrobial activity towards E. coli and S. aureus. The combination of essential oil at 1:1 (v/v) ratio showed the highest antimicrobial activity against E.coli which was 20.5 mm of inhibition zone, while toward S. aureus was 21.25 mm inhibition zone (strong activity); and could reduce the total test bacteria by reducing 16.85% of E. coli and 21.69% of S. aureus bacteria after 24-hour length incubation.
In vitro Antifungal Activity of Methanolic and Chloroform Mint Leaves (Mentha piperita L.) Extracts Against Candida albicans
Authors: Wenji K Y , Rukmi I , Suprihadi A
Published: June 2019

Oral health is an important thing that must be prioritized because the entire intake is first processed in the mouth. The most common disease found in the oral cavity is candidiasis, caused by Candida albicans which is an opportunistic intraoral pathogen that inhabits the oral cavity. Peppermint (Mentha piperita L.) is one of the herbal plants which has proven in laboratory scale have antifungal activity. This research aimed to know the antifungal activity of methanolic and chloroform extract of M. Piperita L. leaves against C. albicans. Mint leaf extract was obtained by maceration method using methanol and chloroform as solvents. The extract concentration for antifungal activity test were 40%; 60% and 80% w/v solution in DMSO 100%. The Kirby-Bauer method was used to examine the antifungal activity of both extracts. The results showed that both methanolic and chloroform extract has antifungal activity against C. albicans. The antifungal of methanolic better than the chloroform extract. Both extracts at all concentration showed a greater antifungal activity compared to 25.000 μg ketoconazole as a positive control. The best antifungal activity of methanolic mint leaves extracts found at 80% concentration. It is no different in antifungal activity of chloroform mint leaves extract at all concentration tested.
Abundance and diversity of insects on apple water tree during fruit season using different colours and different height placement of sticky trap
Authors: Tarwotjo U , Rahadian R , Hadi M
Published: June 2019

The objective of this research were to determine the abundance and diversity of insects on apple water tree and to measure the effectiveness of several colours and height placement of sticky trap on fruit flies and other insects on apple water tree during fruit season. Sampling of insects was conducting in an apple water field during fruit season in Demak Central Java Indonesia using sticky trap with methyl eugenol attractant. There were three different sticky trap colours i.e., yellow, white, and blue; and two height of trap placement i.e., one meter and three meter, were used. Parameters observed included the number of fruit flies in each colour, height placement of sticky trap, and the taxon of insects. The data was analysed into Shannon-Wiener diversity and abundances of insects on each colours and height placement of sticky traps. The results showed that the insects found consist of 5 orders (Diptera, Hymenoptera, Coleoptera, Lepidoptera, and Odonata), and 21 families. Most families are found in the order Diptera (8 families), Hymenoptera (4 families), and Coleoptera (3 families). The Diptera family consists of Tephritidae, Culicidae, Agromyzidae, Muscidae, Asillidae, Mycetophyllide, Drosophyllidae, Bombyllidae. In short, the insects on apple water tree were more abundant in 3 meter height and they tend to be attracted on yellow sticky trap.
Identification of exudates from callus of Mangrove Plant (Rhizophora apiculata BI) in vitro.
Authors: Nurchayati Y , Prihastanti E , Budihastuti R
Published: June 2019

Rhizophora apiculata is species in mangrove vegetation. The mangroves leaves were the water-storage type. Induction of callus from the leaf of R. apiculata faced problems, i.e., browning phenomena and exudates. This research aimed to evaluate the production of exudates and their correlation with the browning of explant and to identify kind of compounds of exudates. The leaf that is used as explants was divided into the base and tip section was grown in Murashige and Skoog (MS) medium with the addition of NAA 1 mg/L, BAP 0,3 mg/L, and activated charcoal 12 g / L. The treatments included 24 hours placed in the dark and 24 hours placed under light, 16 hours placed in the dark and 8 hours under the light, 8 hours placed in the dark and 16 hours under the light; the treatments were repeated four times. Respond of explants were descriptively observed, while the exudates were analyzed by Benedict test. The results showed that light treatment could induce callus formation while 24-hour dark treatment could reduce browning. The novelty of this research lies upon the process of browning prevention using light duration treatment. Therefore, browning could be prevented, and mangrove culture could successfully produce callus. Not at all explants produced the exudates. Light treatment can be used to avoid exudates production. Some of the exudates consisted of carbohydrates. Nevertheless, another one consisted of a salt solution. These exudates made a disturbance in callus initiation of R. apiculata.
Screening of potential isolate candidates probiotic against Aeromonas hydrophila from Boyolali, Indonesia
Authors: Sarjito  , Haditomo A H C , Ariyati R W , Sabdaningsih A , Desrina  , Prayitno S B
Published: June 2019

Mass mortality in catfish culture frequently occurs in Boyolali as a central production due to the outbreak of bacterial diseases. The main causative agent of bacterial disease is Aeromonas hydrophila. This research aimed to find out the bacteria isolates were potential against A. hydrophila. The exploratory method was commenced. Thirty-four isolates were gained from water (SBA01–SBA14) and mud (SBL01 – SBAL20) that were collected from the fish pond of Boyolali Regency, Indonesia with TSA medium. Screening the potential bacteria candidates against A.hydrophila using the sensitivity test that was conducted with in vitro method. Based on the screening results showed that three isolates (SBA14, SBL11, and SBL20) were potential candidates against A. hydrophila. On the basis of sequence 16S rDNA analysis, the result showed that SBA 14, SBL 11 and SBL 20 were closely related to Bacillus flexus, Bacillus subtillis, and Bacillus velezensis respectively.
Liver histological structure of rats (Rattus norvegicus) in the lactation period after supplemented with organic quail eggs
Authors: Prawitasari S , Saraswati T R , Tana S
Published: June 2019

Lactation period requires more nutrients and energy to meet the needs of lactating rats and pups. Increased energy and nutrient requirements during lactation have an effect on increasing metabolic rate as well. Lactation energy deficiency may affect the histology of the liver. This study was conducted to examine and analyze the effect organic quail eggs supplementation on hepatocytes diameter, hepatic lobules diameter, liver weight, and body weight in the lactating test animal. This study used 20 females Wistar rats consisted of 5 treatments with 4 replications. The treatment of this study consisted of T0: control rat; T1: rat supplemented with commercial quail eggs; T2: rat supplemented with standard organic quail eggs; T3: rat supplemented with organic quail eggs contained cassava leaves, mackerel, and turmeric powder; and T4: rat supplemented with organic quail eggs contained cassava leaves, seaweed, and turmeric powder. This research used Completely Randomized Design. The variables measured in this study were hepatocytes diameter, hepatic lobules diameter, liver weight, and body weight in the test animal. The obtained data were analyzed using Analysis of Variance (ANOVA) at 5% significance level and continued with Duncan test with 5% significance level if there is a significant difference. The result of data analysis showed that supplementation of organic quail eggs give the significant difference in hepatocytes diameter and hepatic lobules diameter, but had no significant difference in liver weight and body weight so that it can be concluded that quail eggs supplementation in the lactation period affects rats’ liver histological structure.
Analysis of land use changes effect on erosion and sedimentation potential in Progo watershed
Authors: Rezagama A , Sarminingsih A , Zaman B , Handayani D S
Published: June 2019

Progo Watershed is an ecosystem consists with Progo Rriver as the main river. One of the problems in the Progo River is the formation of sediment deposits in the downstream. The purpose of this study is to analyze the effect of land use on the erosion and sedimentation potential. Erosion prediction are based on Wischmeier and Smith’s research which presents the Universal Soil Loss Equation (USLE). In this research, the erosion and sedimentation potential has different land uses; from 1990, 2000, and then 2011. Generally, there has been an increase in the average erosion rate at Progo watershed, from 165 tons/ha/year in 1999 to 184 tons/ha/in 2011,;or if classified based on the erosion hazard level, it continues to become heavier. Sub-watersheds that have experienced a significant increase in erosion rates are Blongkeng Sub-watershed, Gemurung Sub-watershed, and Progo Hulu Sub-watershed, where the status differed from medium to heavy category. Some locations that were silting due to sediment became prone to floods.
The species diversity of avifauna in Bukit Cinta Klaten in supporting the development of birdwatching area of Gunung Gajah Village Klaten
Authors: Sunarno  , Rahadian R , Wiradarma H , Kurniawan A , Tamar I M
Published: June 2019

The population of avifauna in the natural environment can be a potential attraction for bird watching tourism. The objective of this study were to identify avifauna that exist in each interpretation pathways in Bukit Cinta, to identify the interpretation pathways that potentially could be developed as birdwatching location, to describe the spatial and temporal distribution of avifauna species in each interpretation pathway of visitor characteristics at Bukit Cinta, especially with regard to tourist interest and making recommendations for birdwatching tourism programs at Bukit Cinta. This study used the method of Visual Encounter Survey (VES). Avifauna observation has been conducted in the tourist area of Bukit Cinta, Gunung Gajah Village, Bayat District Klaten Regency Central Java in July 2018. The avifauna diversity and distribution were analyzed descriptively into species level. The results showed that there were 12 species of avifauna found in the study sites i.e., sepah kecil (Pericrocotus cinnamomeus), elang ularbido (Spilornis cheela), avifauna madu sriganti (Cynnyris jugularis), kekeb babi (Artamus leucorynchus), walet linci (Collocalia linchi), cabe Jawa (Dicaeum trochileum), bondol Jawa (Lonchura punctulata), caladi tilik (Dendrocopos moluccensis), kutilang (Pycnonotus aurigaster), tekukur (Spilopelia chinensis), cinenen (Orthotomus sepium), dan caladi ulam (Dendrocopos macei). All species of avifauna were distributed evenly in the study site. In conclusion, the species diversity of avifauna in the study site was very high and can be a supporting biological resource in the development of avifauna ecotourism.
Inventory and biodiversity medicinal plants of dayak tomun society in lopus village Lamandau regency central Kalimantan
Authors: Santoso E A , Jumari  , Utami S
Published: June 2019

Dayak Tomun was one of Dayak tribe lived in the area of Lamandau Regency of Central Kalimantan. Knowledge of medicinal plants of Dayak Tomun society retrieved from ancestral knowledge or their ancestors. The absence of documentation from the study of the knowledge of medicinal plants, then the Dayak Tomun to do Ethnobotany studies. This research aim was examined deeper knowledge and utilization of Dayak Tomun society on the medicinal plant. The method used was the semi-structured interview and participatory observations involving the six key informants of the profession as a shaman. Results of the study were found that 73 species and 69 genera, 43 family medicinal plants with the dominant family (9.59%) were the Zingiberaceae. Part of the medicinal plants that have most frequencies used by Dayak community Tomun is a leaf (38.38%), mixed with the boiled way (50%) and consumed with the drink (41.10%). The tradition of processing and utilization of medicinal plants by the Dayak Tomun society is important to apply and further preserved, so the local wisdom of the traditional medicine will remain awake.
Grouper-based coastal eco-marine-tourism in Gerokgak district, Bali
Authors: Kardi C , Wiasta I W
Published: June 2019

The environmentally-aware marine tourism research aimed to analyze the degradation of environmental quality for marinculture, geographical indication for grouper products and then to formulate Gerokgak coastal eco-marine-tourism. The research method used survey, focus group discussion and laboratory examination. The degradation of marine waters in Gerokgak district has not occurred yet, but integrated control should continuously be done to keep integrated marinculture. Grouper products both seeds and fishes in Gerokgak district have been excellent. They are strongly caused by the appropriate Gerokgak coastal and marine waters quality, climate and unique culture of the local community. These potentials strongly support certificate for geographical indication to increase the national and international trade of grouper products and further support coastal eco-marine-tourism. The village governance should be more intensive in issuing permits for aquaculture business and fostering environmental health through customary rule or Awig-Awig for coastal villages. They should do structuring and developing Bangsal Beach for the object of center access to the sea cage cultivations, as well as Batu Agung Beach as center access to hatchery objects. The settings of eco-marine-tourism management should follow them with the intention to grow the area that refers to the structure of life, space, and pattern in harmony with the local culture
Diversity and abundance of medicinal plants in Penggaron tourism forest of Central Java, Indonesia
Authors: Utami S , Rahadian R
Published: June 2019

Nowadays, the need for medicinal plants as raw materials of traditional medicine is increasing. This study aims to determine the plant species that potential as medicine and its abundance in Penggaron Tourism Forest. Study sites were in the mixed forests and pine forests of Penggaron tourism forest. Vegetation sampling was carried out using a plot method with a size of 10 x 10 m for tree strata, 5 x 5 m for shrub strata and 1 x 1 m for grass or herbaceous strata. Each species of medicinal plant found was identified up to species level and determined their benefit. The medicinal plants found in the study site was 24 species, consisting of 15 families. The most commonly found plant species i.e., the Familia Asteraceae (Chromolaena odorata, Crassocephalum crepidiodes, and Elephantopus scaber), Malvaceae (Hibiscus tiliaceus, Sida rhombifolia, and Urena lobata) and Zingiberaceae (Alpinia galanga, Zingiber officinale, and Zingiber montanum). The habitus of found medicinal plants were 25% tree, 25% shrubs and 50% herbs/grasses. Medicinal plants in the Penggaron forest have not been widely used by people around the forest.
Weeds community structure on the rice field (Oryza sativa L.) in bulusari village, Sayung district, Demak regency
Authors: Haris A , Utami S , Murningsih
Published: June 2019

Rice weeds are disturbing plants that grow together with rice and otherwise well-controlled, it will reduce the quantity and quality of crops. The aim of this research is to analyze the community structure of weed rice in 8-week-old. Benefits of this research are expected to provide information about the types of rice weeds and their characteristics. Research was conducted in June 2018 in Bulusari Village, Sayung District, Demak Regency; and Ecology and Biosystematics Laboratory, Biology Departement, Diponegoro University. Method of this research is a random sampling method used a plot sized 1 m x 1 m as many as 18 plots. Results of the research were the highest Important Value Index is Echinochloa colonum (L) Link species and rice weed diversity index is low.
The potential of soil arthropods as bioindicator of soil quality in relation to environmental factors at apple farm, Batu, East Java, Indonesia
Authors: Suheriyanto D , Zuhro Z , Farah I E , Maulidiyah A
Published: June 2019

The objectives of this study are to determine community structure, abundance and diversity of soil arthropods which potential as the bioindicator of soil quality, and analyze the correlation between chemical parameters of the environmental factor on the abundance of soil arthropods. This study was conducted at the conventional and semi-organic Apple Farm, Bumiaji, Batu, East Java Province, Indonesia, from April to September 2017. Soil Arthropods sample has been taken from three different zones of Apple Farm soil which divided into ten sampling stations. Shannon (H’), Margalef, Evenness and Indicator Value (IndVal) Index were applied to determine the diversity of soil Arthropods. Whereas, the correlation between soil environmental factors and abundance of soil Arthropods were analyzed using Multivariate Analysis included Principal Component Analysis (PCA), similarities, and Canonical Correspondence Analysis (CCA). The total of soil Arthropods belonging to 22 genera, 12 families, and six orders genera, had been identified, with Lepidocyrtus were considered as the most abundant of Genus. Nevertheless, diversity of soil Arthropods in the semi-organic farm were higher than conventional farm ones, this related to soil chemical properties which included pH, C, N, C/N ratio, P, K and other organic matters. Based on indicator value indicated that Euborellia Genus from Apple conventional farm, and Brachymyrmex and Homidia Genus from Apple semi-organic farm was considered as the potential bioindicator of soil quality.
Isolation and identification of carotenoid-producing microalgae from Demak marine waters
Authors: Kusumaningrum H P , Suprihadi A , Budiharjo A , Zainuri M , Misbach I , Maulidiyah A
Published: June 2019

The abundant number of existing species of microalgae in the environment constitutes biodiversity, which supports potential commercial exploitation of many novel products like carotenoid. Microalgae represent a sustainable source of any kinds of natural carotenoid. Aquaculture requires antioxidant supplements such as carotenoids but are unable to synthesize de novo. Carotenoids are needed to improve survival. The production of carotenoids has been one of the activities in microalgae. The objective of the study was to isolate and identify microalgae that can produce carotenoid from Demak marine waters. Production of carotenoid was measured using Spectrophotometer according to AOAC methods. The research found some potentially carotenogenic microalgae member of diatom in the aquatic environment of Demak which is thought to be a species of Melossira, Thalassiotrix, Rhizosolenia, Navicula, Climacodium, Achanthes, Loxophyllum, and Trichodesmium. These species potentially produce carotenoid and antioxidant properties with variety range.
Isolation and screening of lactic acid bacteria from grasshopper gut as novel probiotic candidates to digest cellulose polymer
Authors: Abdullah R , Erfianti T , Pratama D A , Wijanarka
Published: June 2019

The nutritional needs are the primer need in the earth. Various solution of food security problem such as GMO product and chemical fertilizer, are still not effective to clear it because the global warming annualy reported may cause to the crop failures. In addition, the amount of carbohydrate that can be adsorbed by human body is less. The Cellulose is one of the carbohydrate that human can not adsorb to get glucose. Grasshopper can digest the cellulose of grass because there are bacteria live in their organs to produce the enzyme. The bacteria that have an ability giving advantage in the body are known as probiotic. However, the development of this function has became a great attention. The aim is obtaining grasshopper gut bacteria caracterized as lactic acid bacteria potential as novel probiotic to produce cellulase for human digestion. Methods used are; Isolation of grasshopper gut bacteria, Purification and screening modificated of novel probotic candidates. The bacteria were screened by using modificated medium to detect the enzyme activity and pathogenic possibility as well as SP-SDS method to enumerate the tolerance of the bacteria after treatment in the period. The result shows that two bacteria strains of grasshopper gut bacteria are capable to break down the cellulose in the screening process. The bacteria was also caracterized as the lactid acid bacteria. The activity of gamma haemolytic of the bacteria shows the non-pathogenic property on blood. Bile salt and acid pH condition for 48 hour period was tested on the bacteria shows the high tolerance of life in the digestion. In conclusion, there are strain of grasshopper gut bacteria can be used as novel probiotic candidate to digest cellulose as solution of food security.
A heuristic neural network model in the research of properties of evolutionary trajectories
Authors: Bartsev S , Baturina P
Published: June 2019

There is considerable data on molecular evolution, but there remains no approach to systematizing them within the framework of the key problems of biology. To search for the most common properties of evolving systems, the heuristic method has been proposed. Artificial networks of formal neurons were chosen as the heuristic model object. The paper examines the divergent component of evolutionary trajectory formation. As a result of the simulation, the dependence of the potential variability parameter on the position of the fitness function landscape was obtained. The simulation results are in agreement with the real data of molecular evolution experiments.
Features of a numerical characteristics estimation for the execution time of complex series-parallel operations
Authors: Oleinikova S A , Bolnokina E V , Kravets O Ja
Published: June 2019

The object of research in this paper is stochastic multistage systems, the service process in which a set of series-parallel operations with a random duration of service is performed. The subject of the study is the random variable which is the service time of the entire application. The aim is to evaluate the analytical capabilities to accurately assess the characteristics of the studied value. The possibility of analytically obtaining the characteristics of a random variable is investigated, as a result of which a conclusion is made about the usefulness of connecting numerical apparatus. Thus, the features of estimating the numerical characteristics of a random variable describing the duration of a complex of series-parallel operations are analyzed.
An optimization approach to finding roots of systems of nonlinear equations
Authors: Khamisov O , Kolosnitsyn A
Published: June 2019

We describe and test an approach to finding roots of systems of nonlinear equations. This approach is based on a reduction to an auxiliary optimization problem. In spite of the fact that the reduced problem is, in general, a nonconvex optimization problem, we use only local search techniques and provide conditions for the obtained stationary point to be a root of the initial system of nonlinear equations. Results of computational experiments are given.
Modelling of DC motor and educational application in Cyberphysical systems
Authors: Škraba Andrej , Stanovov Vladimir , Semenkin Eugene
Published: June 2019

Present paper describes the development and implementation of the DC motor simulation model in the framework of Cyber-physical systems and Internet of Things for the educational purposes. In order to provide the testbed for students, the control system and simulation model should be developed in unified environment. This has been achieved by using web technologies such as nodejs and cloud9 IDE. Simulation model is derived in the form of the differential equations. The MATLAB/Simulink block diagram is provided. The model has been tested and successfully validated for the pulse input function.
Analysis of the mean transition times in the Markov birth-death chains for calculation of the reliability indices of the technical systems
Authors: Rahman P A , Bolnokin V E
Published: June 2019

This scientific paper deals with the generalized Markov birth-death chain and its application in the reliability analysis of the technical systems. The special types of reductions of the generalized Markov birth-death chain and the obtained by the author formulas for calculation of the mean time of forward transitions from one state to another and mean time of backward transitions from one state to another are also presented. Finally, an example of using the generalized Markov birth-death chain and obtained formulas of the mean time of forward and backward transitions for calculation of the reliability indices of the specialized technical system is also given.
Parameter optimization of the not fully accessible system of the hub airport service based on a simulation model with a fuzzy regulator
Authors: Guzha E D , Khvostova T V , Romanenko V A , Skorohod M A
Published: June 2019

The problem of determining the optimal number of technological resources of the hub airport functional subsystem, serving passengers in a separate technological operation, is considered. The analysis is limited to incomplete systems in which the maintenance of certain applications can be performed only by certain resources. As an optimization tool, a simulation model was used that takes into account the features of passenger flows and the hub airport production process and includes a fuzzy controller (FC), which reflects the logic of the airport dispatcher controlling the ground handling process. The paper describes a model example of solving an optimization problem indicating the possibility and feasibility of using a fuzzy controller as a model for the strategy of a human operator. The main result of optimization is the time dependence of the number of technological resources of the functional subsystem which is applicable at the stages of making decisions on increasing its capacity, operational resource management, planning staff shift work, solving a number of other tasks, especially relevant for hub airports with intense but uneven flows of aircraft and passengers.
Method of determining the parameters of the texture of the surface of the rolls of rolling bearings by means of quasi-optimal correlation algorithm
Authors: Nosov Nicolay , Bobrovskij Sergej , Levitskih Olesja , Zaides Semen , Kanatnikov Nikita , Khaimovich Alexander , Zykova Marina
Published: June 2019

The article proposes a new approach to the method for estimating the texture parameters of the surface of the rolling tracks of instrument bearings after profile grinding. The microgeometry of the surface of the bearing raceways was studied on an optical-electronic complex on the basis of calculating the parameters of the autocorrelation function obtained as a result of computer processing of the surface video image. The purpose of this study is improving the technology of profile grinding of bearing raceways through the construction of an optical-electronic information-measuring system for monitoring the parameters of the autocorrelation function.