bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fabrication and properties of high efficiency dye-sensitized solar cells (DSSCs) with photon absorption optimization
Authors: Suseno J E , Wardaya A Y , Khumaeni A 
Published: June 2020

Abstract
Dye-sensitized solar cells (DSSCs) have attracted much attention because these unconventional solar cells exhibit high performance and have the potential for low-cost production. To achieve higher performances for solar cells based on organic dyes, comparable to those for solar cells based on the color spectrum, the light absorption of organic dyes is required. In a DSSC, the electrodes are surrounded by a thin shell and a dye monolayer for 3 colors of dyes. Based on the optical properties, the large absorption of light can be given in a colorless dye with a wavelength of the most extensive. Combination colors from three-band basic colors, such as red (R), green (G) and blue (B) can create the optimum light absorption. The Incident Photon-to-charge Carrier Efficiency (IPCE) will be high if the absorption spectrum graph of dye color is large too, therefore the Dye-Sensitized Solar Cell (DSSC) will produce photon current (If) or high short-circuit current (Isc). To ensure solid surface coverage, the dye must have a high absorption coefficient on TiO2. The electrodes can be maximized with reduced layer thickness so the possibility of recombination decreases with decreasing electrode thickness and thicker electrolytes with low vapor pressure can be applied. The longer the wavelength, the less absorption will cause a small portion of the sun’s spectrum to disappear. The experiment showed that a combination of three band colors of dye is obtained the largest light absorption. This black color proved to have the greatest light absorption. The experiment can result for the exhibit a high open-circuit voltage VOC of 320 mV, open-circuit current IOC of 0.045 mA, maximum voltage Vmax of 134 mV, maximum current Imax of 0.044 mA, maximum power Pmax of 5.89 μW, Fill Factor (FF) of 42 and a power conversion efficiency of 9.1%.
K-nearest neighbor (KNN) with global GINI diversity index for classification subsidy food in Semarang city, Indonesia
Authors: Ispriyanti D , Prahutama A , Mustafid  
Published: June 2020

Abstract
K-Nearest Neighbor (K-NN) is one of the classification methods using the distance from the variable. Determination of the distance used greatly affects the results of the classification. The distance commonly used as a weighting is the Euclidean distance. The Euclidean distance does not distinguish between categories and variables, this is certainly a problem in itself. Therefore the weighting used is the global GINI diversity index. This method will be applied to the classification of subsidy food in Semarang city, based on the factors that influence it. Independent variables that are used include the field of business of household heads (X1); Employment Status (X2); Homeownership status (X3); Roof Building Materials (X4); Main wall material of the house (X5); Main Material of the house floor (X6); Drinking Water Source (X7) and Main Cooking Fuel (X8). Based on the results of classification using the KNN method with a global weighting GINI diversity index, with training: testing is 80: 20 obtained an accuracy of 85% with a value of K = 5.
Hoax news validation using similarity algorithms
Authors: Yuliani S Y , Sahib S , Abdollah M F , Wijaya Y S , Yusoff N H M 
Published: June 2020

Abstract
News that is presented every day on social media dramatically affects the feelings, feelings, thoughts, or even actions of a person or group. Hoax News is one of them which is disturbing the public and raising noise in various fields, ranging from politics, culture, security, and order, to the economy. Inseparable from social media users. How every day, there is information on social media, which is not necessarily true so that people are provoked by hoax on social media. The news detection system in this study was designed using Unsupported Learning so that it does not require data training. The system was built using the Equation algorithm to calculate the validity of document similarity. Extraction results used to search for content related to user input using a detection engine, then the similarity value and the time needed to utilize hoax news are calculated. System validation testing by using a four text similarity algorithm called the Equation algorithm, the Levenshtein algorithm, the Smith-Waterman algorithm, the Damerau Levenshtein algorithm; this algorithm is used to find the best analytical solution of news hoaxes and submissions needed to find the news hoax password. The final results of the deception detection research using a script that has been done for Validation using an algorithm, get the value of accuracy in detection using the Smith-Waterman algorithm, which produces an accuracy value of text similarity of 99.29% and can be used a process of 6, 57 seconds, followed by the second sequence that is the similarity algorithm produces an accuracy of 75% and requires a processing time of 4.94 seconds, then the third sequence is the Levenshtein algorithm with an accuracy of 55.02% and requires a processing time of 5.49 seconds, and is used today is Damerau Levenshtein algorithm is 55.02% and requires a processing time of 7.54%. The results of research tests on this text can conclude the more text on the detection engine, the higher the verification value and the higher the time needed to process hoax news.
Rice crop management expert system with forwarding chaining method and certainty factor
Authors: Kharisma  , Adi K , Isnanto R R 
Published: June 2020

Abstract
Rice plants are one of the focuses on food sustainability so that an increase in rice production needs to be done. Farmers need information and knowledge to improve rice crop production by practicing good planting methods that begin with the selection of superior varieties of seeds and handling plant pests properly. The problem that arises is that assistance from agricultural specialists is not always available when farmers need it, making it difficult for farmers to consult experts according to their needs at any time. Therefore, in this study, an expert system was proposed which was able to help farmers to obtain information according to their needs. This research builds an expert system for the management of rice plants including the selection of rice seed varieties and handling pests of rice plants. The method used in this expert system is forward chaining and certainty factor. Knowledgebase data was obtained from experts in agricultural extension, experts on plant pest organisms and literature from the agricultural service. From this study, an expert system was produced that was able to provide information on the selection of seed varieties and pest of rice plants according to the conditions and needs of the users.
Γ – semigroup generated by a semigroup
Authors: Sumanto Y D , Aziz A , Solikhin  , Hariyanto S 
Published: June 2020

Abstract
In Γ – semigroup S, the element of Γ maybe a binary operation in S. Every element of any semigroupS can define a binary operation in S. A collection of binary operations defined of the element of S generates Γ – semigroup S.
An analytic solution of the uncoupled multi-agent model and its benefit through optimal control system with attractor and repellant
Authors: Tjahjana R H 
Published: June 2020

Abstract
This paper gives the analytic solution of the uncoupled multi-agent model. This solution describes the optimal path of each agent. In this exposition, the optimal control approach is used to model uncoupled multi-agent swarm with attractor and repellant. The special functional cost contains repellent cost functional is used to guarantee each agent never collides one to the others. The attractor term in the special functional cost makes each agent never mover far away to the others. This paper also gives the benefit of the agents moves in the multi-agent system.
WAC4 algorithm to solve the multiperiod degree constrained minimum spanning tree problem
Authors: Wamiliana  , Junaidi A , Amanto  , Usman M , Warsono  
Published: June 2020

Abstract
The Multiperiod Degree Constrained Minimum Spanning Tree (MPDCMST) is a problem of finding the smallest weight spanning tree while also maintaining the degree restriction in every vertex and satisfying the vertex installation requirement in every period. This problem arises in the networks installation problem where the degree restriction represents the reliability of each vertex and the vertex installation requirement represents the priority vertices that must be installed in the network on a certain period. The installation is divided into some periods because some conditions occur such as harsh weather, fund limitation, etc. In this paper, we propose a WAC4 Algorithm to solve the MPDCMST problem. The performance of the algorithm will be compared to the WAC1 algorithm already in the literature.
Counting the number of vertexes labeled connected graphs of order five with minimum five edges and maximum ten parallel edges
Authors: Amanto  , Notiragayu  , Puri F C , Antoni Y , Wamiliana  
Published: June 2020

Abstract
If given a graph G(V,E) with n vertices and m edges many graphs can be constructed. The graphs constructed maybe connected graphs (there exists at least one path connecting every pair of vertices in the graph) or disconnected; either simple a (contains loop or parallel edges) or not simple. In, this paper we will discuss the formula for counting the number of connected vertex labelled graph of order five (n=5) without loops, witof h minimum five edges and maa y contaiof n maximum ten parallel edges.
Forecasting the number of airplane passengers uses the double and the triple exponential smoothing method
Authors: Ramadiani  , Syahrani R , Astuti I F , Azainil  
Published: June 2020

Abstract
Forecasting is needed to increase capacity and infrastructure, and also to improve the quality and quantity of the airport, especially at Aji Pangeran Tumenggung Pranoto Samarinda’s airport. The forecasting method is very diverse. It is difficult to forecast the number of passengers in each period. This is very important to compare the accuracy of the forecasting number of passengers and how to find out the best method to produce the forecasting value. This research uses the mean square error to measure the accuracy of double exponential smoothing and the triple exponential smoothing. The results of this research found the accuracy level between double exponential smoothing and triple exponential smoothing that produced the best forecasting value. MSE error calculation uses alpha constant values 0.1, 0.3, 0.5, 0.7 and 0.9. The best result is the double exponential smoothing method of alpha value 0.9 with an error value of 20522138,748.
Stability analysis of mathematical model (sirb) in the spread of cholera with vaccination and disinfection
Authors: Fitriyani A , Widowati  , Farikhin  
Published: June 2020

Abstract
Cholera is a disease as a kind of acute diarrhea caused by bacteria V. Cholerae. The spread of cholera can be modeled in the form of nonlinear differential equation systems with 4 variables SIRB. This paper aims to research to analyze the local stability of the equilibrium point of the dynamical population in the spread of cholera by the Routh-Hurwitz stability criterion and bifurcation method. Next Generation Matrix (NGM) method is used to get the basic reproductive numbers ( ℜ0 ) to find the local stability at the equilibrium point of the. The disease-free equilibrium point is locally asymptotically stable if ℜ0 < 1, while the endemic equilibrium point is locally asymptotically stable if ℜ0 > 1 the results of numerical simulations obtained ℜ0 = 0 0.87 indicated that the disease-free equilibrium point is locally asymptotically stable. In endemic condition ( ℜ0 > 1 ) show that increasing the rate of vaccination and disinfection can reduce the population of susceptible, infected and bacteria of V. Cholerae.
Secondary metabolites in elaeocarpus grandiflorus cell culture in WPM medium with various concentrations of PGR
Authors: Anggraito Y U , Nugrahaningsih W H , Musafa F , Mukhtar K , Wijawati  , Rostriana Y , Safitri  , Habibah N A 
Published: June 2020

Abstract
This study aims to analyze the influence of plant growth regulator (PGR) for secondary metabolites production in Elaeocarpus grandiflorus cell culture. Picloram (3.5, 5 and 7.5 ppm) and 2,4-D (1.5, 2.5 and 3.5 ppm) were used as PGR of cell suspension culture. Cell cultures were obtained from callus grown in liquid WPM medium with various concentrations of PGR. Culture is maintained in shakers at a speed of 120 rpm in dark conditions. Harvesting is done after the age of culture reaches 30 days. Extraction was done by the maceration method with methanol as a solvent. A qualitative test using a thin layer chromatography test (TLC) was conducted to analyze the presence of various secondary metabolites. Phenolic quantitative tests were performed using a spectrophotometer using gallic acid standard compounds. The results showed that the cell culture contained alkaloids, phenolics, terpenoids, flavonoids. All treatments showed the presence of phenolic with varying total phenolic concentrations. PGR affects the type and concentration of secondary metabolites produced by E. grandiflorus cell suspension culture.
The impact of mangrove plantation in ponds on the secondary metabolite content
Authors: Hastuti E D , Izzati M , Darmanti S 
Published: June 2020

AbstractPlanting of mangrove vegetation integratively in silvofishery pond alters the possibility of metabolite accumulation pattern. This research aimed to analyze the metabolite content in mangrove root and leaf ofAvicennia marina, to analyze the difference of metabolite content between pond and shore area, and to analyze the correlation of metabolite content between the root and the leaf. The research was carried out through field sampling in Mangunharjo Village followed by laboratory analysis for alkaloid, phenol and terpenoid content. Samples were taken fromA. marinaroot and leaf planted in the pond and shore areas by triplication. Data analysis were including t-test and correlation. The result showed that total alkaloid and total phenol content was varied between growing location. Significant differences between pond and shore mangrove metabolites were obtained for total alkaloid content in the root and total phenol content in the leaf. Correlation analysis between root and leaf metabolite contents showed its significance for total phenol content in the pond area. The research implied that mangrove in pond area underwent higher environmental stress compared to the ones in shore area.
The production of alkaline protease from Aspergillus flavus DUCC K225 on rice bran containing medium
Authors: Rukmi I , Purwantisari S 
Published: June 2020

Abstract
Alkaline protease is an industrially important enzyme that can produce by Aspergillus flavus DUCC K225 an indigenous mold from lime soil Madura island. The production of alkaline protease by Aspergillus flavus DUCC K225 produced by submerged fermentation on modified Czapeks Dox medium containing rice bran as N source. The enzyme production was observed after 7th-day incubation, by measuring the protease activity at pH 8.5 and the temperature stability as well. The results showed that the enzyme activity is higher on the rice bran medium compared to the standard medium, with a value of 237,84 U/ml and 94.85 U/ml respectively. This alkaline protease enzyme produced also thermostable, with 89.3% stability value for 60 min at 40°C.
Histologic response of aortic Rattus norvegicus male strain wistar hyperlipidemia after giving kersen fruits juice and extract lakum leaves
Authors: Agustina E , Saraswati T R , Tana S 
Published: June 2020

Abstract
People lifestyle who tend to consume high fat diet is one of the risk factors causing cardiovascular diseases such as atherosclerosis and coronary heart disease. The aims of this study were to analyze the effect of kersenfruits juice and extract lakum leaves on lumen width and thickness of aortic wall and to find out the histological features of male Rattusnorvegicus white rats due to hiperlipemia. The study used a Completely Randomized Design (CRD) consisting of 5 treatments with 4 replications, i.e. the control group (P0), the standard feeding group (P1), the hyperlipid feed group+0.2 mL/200gBB kersen juice (P2), the hyperlipid feed group+40mg / 200gBB extract lakum leaves (P3) and hyperlipid feed group +0.18mg / 200gBB simvastatin (P4). Hyperlipid feeds were given for 28 days. Data were analyzed by ANOVA followed by Duncan Test at a confidence level of 95, while histological features were observed directly using photomicrograph with 400x magnification and were seen aortic lumen narrowing, foam cells and intracellular lipid accumulation in smooth muscle. The results showed that the addition of kersenfruits juice and extract lakum leaves gave a significant effect on lumen width and thickness of the aortic wall (p <0.05). Histological features show the presence of foam cells and accumulation of smooth muscle lipids in the control and group treatments with hyperlipemia feeding. The conclusion of this study is that the addition of kersen juice fruits and extract lakum leaves can reduce atherosclerotic lesions by eliminating foam cells and proliferating smooth muscle cells so the size of the aortic lumen width returns to normal.
Antibacterial activity of basil oil (Ocimum basilicum L) and basil oil nanoemulsion
Authors: Fachriyah E , Wibawa P J , Awaliyah A 
Published: June 2020

Abstract
Basil oil contains bioactive compounds with antibacterial activity. One way to increase the antibacterial activity of basil oil is to use a nanoemulsion design. This study aims to obtain a nanoemulsion of basil oil with the best antibacterial activity against Escherichia coli and Staphylococcus aureus compared to basil oil. Process isolation of basil oils uses the method of steam distillation. The nanoemulsion process uses the ultrasound method. The essential oils and nanoemulsions produced were analyzed by GC-MS. The five components of basil oils with the largest percent area are sabinene (60,01%), myrcene (17,76%), trans-caryophyllene (4,08%), linalool (2,58%), and alpha-pellandrene (2,35%). Whereas in nanoemulsion are sabinene (44,68%), myrcene (17,86%), trans-caryophyllene (8,15%), terpineol-4 (6,65%), and 1.6-octadient-3-ol 3,7-dimethyl (4,89%). The basil oil has a droplet size of 54960 nm while the nanoemulsion of basil oil has a droplet size of 243.4 nm. The concentration of basil oil influences the antibacterial activity. The essential oil of basil, at a concentration of 10% to 25%, has a zone of low to medium protein inhibition at E. coli and is strongly directed towards S. aureus. The nanoemulsion of essential oils at a concentration of 5% to 25% has a moderate to strong inhibition zone in E. coli and a moderate to a very strong group in S. aureus.
The potency of B-G31 isolate associating with valanganigricornis as a probiotic candidate to digest cellulose
Authors: Abdullah R , Imtiyaz F D , Wijanarka  , Nurhayati  
Published: June 2020

Abstract
Cellulose is a polymer that is abundant in the environment, but they are unable to digest by the human digestive system. This study aims to determine the anti-pathogenic ability and measure the cellulase activity of B-G31 isolate. Auto-aggregation and co-aggregation methods were used to analyze the anti-pathogenic role of B-G31 against biofilm formed by Escherichia coli and Staphylococcus aureus. To assess glucose concentration obtained from cellulose degradation, B-G31 supernatant was reacted in different CMC concentrations (0.5%, 1%, 1.5%, 2%, and 2.5%) and was measured their absorbance (OD540) using ELISA spectrophotometer. The study has revealed that the percentage of B-G31 auto-aggregation is 26% and they can explicitly inhibit colonization of E. coli and S. aureus biofilm accounted for 20.21% and 21.20%, respectively, the bacteria also exhibited antagonistic activity towards two bacterial pathogens. Furthermore, enzyme activity was relatively high in the presence of 2% CMC with 0.913 U/mL to yield average glucose of 411.75 ppm and significantly different from that in the control group (p < 0.05). However, the enzyme value in 0.5% CMC concentration was about 0.345 U/mL and not significantly different from control group (p > 0.05). Our results indicated that B-G31 isolated from Valanganigricornis can form aggregates against bacterial-tests biofilm and increase degradation of cellulose, thus, the isolate could probably be used as probiotics to digest cellulose.
Isolation and identification of rare actinomycete-like bacteria from soil-based on 16S ribosomal RNA gene sequences
Authors: Eshananda Y , Ningsih F , Sakai Y , Yokota A , Yabe S , Sjamsuridzal W 
Published: June 2020

Abstract
The rare actinomycete-like bacteria are mycelium-forming bacteria other than phylum Actinobacteria that difficult to isolate and cultivate. This group of bacteria was recently speculated by many scientists as a potential new microbial resource for the discovery of novel compounds, as a substitute for actinomycetes. In this study, we isolate and identify rare actinomycete-like bacteria from forest soil collected under bamboo trees, near the CisolokGeysers, Sukabumi, Indonesia. The isolation of bacteria was performed using Reasoner’s 2A (1:10 dilution) medium with 2% gellan gum instead of agar and incubated at 30 °C for three weeks. The 16S rRNA gene sequences of the isolates were examined to determine their taxonomic position. Four isolates designated K17-1, K17-2, K42, and K44 showed pale oranges colonies and formed mycelia were obtained. The results of 16S rRNA gene sequences of these isolates showed high similarity to members of the genus Dictyobacter in the family Dictyobacteraceae of the class Ktedonobacteria of the phylum Chlorofexi, with values 97.16-98.02%, and most closely related to the species Dictyobacteraurantiacus S-27T (97.16-98.02% similarities). This result suggested that the member of the class Ktedonobacteria, which considered as rare actinomycete-like bacteria, such as Dictyobacter could be found in the forest soil of the geothermal area.
The control system for the nutrition concentration of hydroponic using web server
Authors: Suseno J E , Munandar M F , Priyono A S 
Published: June 2020

Abstract
This research was conducted to realize a nutrient solution concentration control system using web interface monitoring. The hydroponic system only relies on nutrient solutions whose nutrient levels must be maintained to anticipate the increase in acidic acid levels of the nutrient solutions. The provision of monitoring and recording changes in hydroponic system nutrition is very helpful in maintaining the quality of hydroponic agricultural production. The provision of data from electrical power measurements needs to be supported by information technology, especially remote data measurement technology. This remote data monitoring uses a wireless network system using a TDS (Total Dissolved Solids) sensor, Arduino DUE microcontroller, WiFi module and internet connection for the observation process. The TDS sensor used previously was characterized and calibrated. The data obtained by the sensor is used to exercise control before sending it to the thingspeak.com channel to be recorded and displayed in realtime. In testing the sensor TDS meter error of 2.88%. The results of the test for 2 hours obtained the results of the control system can increase the nutritional PPM from 213 PPM to 451 PPM within 30 seconds with a nutrient enhancer sample of 779 PPM, and decrease from 779 PPM to 431 PPM within 70 seconds with a water-enhancing sample of 213 PPM for the 445 PPM set point. In the second test result for 2 hours, the control system results can increase the nutritional PPM from 215 PPM to 814 PPM within 30 seconds with a nutrient enhancer sample of 956 PPM, and decrease from 956 PPM to 754 PPM within 40 seconds with a water-enhancing sample of 215 PPM for the 780 PPM set point. PPM value of nutrients can be affected by the presence of other solids such as sand which dissolves with water.