bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analytical Hierarchy Process (AHP) in selecting suitable Marine Protected Area (MPA) site in Pulo Breuh (Breuh Island), Indonesia
Authors: Syahputra F , Muslim A M , Talaat W I A W , Irsalinda N 
Published: November 2019

Abstract
Marine protected area (MPA) is one of marine management tools that effective in regulating human activities within certain area. Therefore, choosing the location for the MPA is a critical step due to the nature of this tool that is prone to cause conflict and has broad impact to local and larger community. The selection processes require many criteria to consider thus this research use Analytical Hierarchy Process (AHP) method in Geographical Information System (GIS) to calculate MPA location. AHP has ability to simplify multidimensional criteria into single dimensional scale and GIS make is easier to analyze wide area. The research is conducted in Pulo Breuh (Breuh Island) Aceh Besar district of Aceh province, Indonesia. There are 6 components to calculate in determining MPA location for this island, the Settlement; Tourist Attraction; River; Aquaculture site; Ferry port and Fishing port, and each of this criterion is depicted into single layer of map based on the distance. The MPA needs to be close to the settlement and tourist attraction to ensure the advantages as well as far enough from the river, aquaculture site and ports. in the weighing criteria the priorities are, from highest to lowest, the settlement, aquaculture site, river, ferry port, fishing port, and tourist attraction. The result will be 3 levels of color-coded overlay map ranges from suitable, less suitable and not suitable place for MPA.
The Effect of Water Surface Level in sensible heat material on Yield of Single Basin Solar Still: Experimental Study
Authors: Mugisidi Dan , Fajar Berkah , Utomo Tony , Syaiful  
Published: November 2019

Abstract
The purpose of this experiment is to study the yield of the single basin solar still as an effect of water surface level in sensible heat material in a single basin solar still. The study is conducted on an open floor roof top at the Faculty of Engineering, Muhammadiyah University Prof. DR HAMKA in Jakarta, Indonesia. The study is conducted within two month and use 3 solar stills made of 3 mm Stainless Steel with dimensions 420 mm x 305 mm. The cover is made of 3 mm glass with a slope of 30 degrees. Iron sand that used as sensible heat material is taken from Glagah beach, Kulonprogo in Yogyakarta, Indonesia. 3 solar stills containing 20 mm height of iron sand. The height of the water in the three solar stills is 15mm (V1), 20mm (V2) and 25mm (V3) so that sequentially the surface of the water will be below the surface of the iron sand, the same as the surface of iron sand and above the surface of iron sand. The results obtained show that the daily yield accumulation of V2 is on average 49% higher than V1 while V3 is 57% higher above V1.
Comparative Study of p-type CuBi2O4 Films and CuBi2O4 Nanopillars Photocathode for High Performance Photoelectrochemical Water Splitting
Authors: Nasori Nasori , Rubiyanto Agus , Endarko Endarko 
Published: November 2019

Abstract
Traditional thin films and nanostructure are the most reasonable candidates to build the next generation of photoelectrochemical water splitting system with outstanding optical and electrical properties. Especially the use of nanostructure arrays as photoelectrodes might complement the traditional semiconductor photoelectrodes in providing close transfer distance of photoinduced carriers and the increase in the surface reaction sites than thin films. Both of the reasons reduce the probability of carriers recombination and thus enhancing the photoelectrochemical performances. In this work, we demonstrated highly efficient water splitting performance of CuBi2O4 nanopillars compared to thin film CuBi2O4 photocathode. The CuBi2O4 nanopillars were fabricated by electrodeposition on anodized aluminum oxide (AAO) template. The CuBi2O4 nanopillars photocathode gave a notable improvement in photocurrent, from −0.50 to −1.50 mA cm−2 at −0.45 V vs. Ag/AgCl by the external quantum yield more than 3 times at wavelength 420 nm. Finally, the result of the study appealed that the photoelectrode based on CuBi2O4 nanostructure arrays is an encouraging system for showing efficient water splitting system under visible light.
A Passive Cooling System for Increasing Efficiency of Solar Panel Output
Authors: Rakino Sunarno A. , Suherman S. , Hasan S. , Rambe A. H. , Gunawan  
Published: November 2019

Abstract
Solar cell converts solar energy to electrical energy. As its surface is continuously exposed to sun, solar cell efficiency decreases about 0.5% for 1°C surface temperature increment. Passive active cooling systems have been proposed by researchers. Since active cooling system absorbs the generated current, this paper considers passive system as the cheapest one. The combination of water and heat-sink cooling system is proposed. The experimental implementation shows that the proposed system is able to reduce solar panel surface temperature better than the only water or the only heat-sink cooling system. The output voltage increases in average 21.49% for average surface temperature decrement of 12.66% compared to basic solar panel. This results significant output power improvement, by more than 40%.
Earthquake Risk Reduction Study with Mapping an Active Fault at the Southern of East Java
Authors: Lestari Wien , Widodo Amien , Warnana Dwa Desa , Syaifuddin Firman 
Published: November 2019

Abstract
The southern part of Java Island is located between the two plates of the subduction zone, therefore this region had an active tectonic and volcanic activities. Those made a deformation of the geology around the southern part of Java island. This research was conducted to know the volume of deep geological structures to provide an overview of disaster warning systems in southern East Java region. The research that has been carried out using numerous active geophysical methods such as seismic methods had not been able to indicate internal structures. The needed for innovation used the integration of gravity and magnetotellurics methods. Bouguer anomaly gravity map became the supported data for interpretation. It showed low-density zones (0-80 mGal) between Pacitan-Trenggalek and beneath the Lumajang area which indicates the fault structure. Magnetotellurics (MT) which had a high penetration so that it is able to map deep active geological structures below the surface. The research area covered 8 regencies at the southern of East Java namely Pacitan, Trenggalek, Tulungagung, Blitar, Malang, Lumajang, Jember, and Banyuwangi. Magnetotelluric 1D processing showed indications of faults with orientations tend to be NE-SW between Pacitan and Trenggalek with depth (500 m – 8000 meter). Indications of faults with orientation tend to be NorthEast-SouthWest in Lumajang (100 - 500 meter).
Forecasting of Vannamei Shrimp Production Based on Weather Factors Using Radial Basis Function Neural Network Approach (Case Study: Lamongan District)
Authors: Albab M U , Irawan M I , Adzkiya D 
Published: November 2019

Abstract
One of the economic activity sectors that can be influenced by uncertain weather conditions is aquaculture production. In Lamongan, aquaculture production especially vannamei shrimp is very dependent on the ideal weather conditions. Uncertainty of the weather conditions can cause irregular harvesting to the production of vannamei shrimp. These trend changes can have an impact on the activities of production supply chain, namely the fulfillment of the entry quota of vannamei shrimp production from agents or distributors to exporters of vannamei shrimp to meet market demand. This marketing result can increase the original income of Lamongan area. To find out the development of the trend required a forecasting process and appropriate classification based on past data using artificial neural networks. One structure of artificial neural networks that can be predicting and classifying is a radial basis function neural network (RBFNN). The structure of RBFNN is trained using K-means clustering and gradient descent method. We use average temperature, average humidity and rainfall each month starting from January 2013 until December 2017 as the actual datasets. From those datasets, the training datasets start from January 2013 until December 2016 and the remaining datasets are used as the testing datasets. Built in the Python program, the test results show that our forecasting and classification had an accuracy level with mean absolute percentage error (MAPE) 16.7%.
Optimal Control Of Dynamic IS-LM Bussiness Cycle Model With Two Time Delay
Authors: Hidayati Airin Nur , Apriliani Erna , Usadha I Gst Ngr Rai 
Published: November 2019

Abstract
One of the business cycle model in the dynamics economy is the IS-LM business cycle model with time delay. This model talks about stability in the micro-economic system. Meanwhile, the time delay in the IS-LM business cycle model involve a change in stability at the equilibrium point so that a bifurcation is occurs. In this study, analysis of stability and optimal control on the IS-LM business cycle model with time delay. Based on simulation with numerical computation, show that there is a change in the stability when the delay value was given exceed the critical delay value. The stability change occur when the delay value arose a pure eigen value so that there was a limit cycle that show a Hopf bifurcation. Furthermore, optimal control in the IS-LM business cycle model given when the system changes to be unstable, i.e. when the delay value passed the critical delay value. Variable control use in the interest rate function. While the objective function maximize the total money supply from the country, the optimal solution is obtained by using the Pontryagin Maximum Principle. The results of this simulations with numerical computation show that maximizing the rate of income, the rate of interest rates, and the rate of capital stock lead to the stability point at thirtieth time.
An Application of Stochastic Dominance with Truncated Normal Disribution on LQ45 Index
Authors: Rahmawati Iga , Slamet Isnandar , Zukhronah Etik 
Published: November 2019

Abstract
Return is the profit obtained by investors from the capital invested in a company. The movement of stock prices in an exchange affect the condition of stock returns. Stochastic dominance with truncated normal distribution is an analysis method of stock dominance with parametric approach where the stock returns is bounded between two values. The purpose of this research is to obtain the optimum stocks listed in the LQ45 index using stochastic dominance with truncated normal distribution. The assumption of a truncated normal distribution is derived from the normal distribution of monthly stock returns that symmetrically truncated on two sides. The dominance of stocks then obtained by comparing the truncated cumulative distribution function of returns based on first order stochastic dominance (FSD) and second order stochastic dominance (SSD). Based on the analysis, it can be concluded that there are 17 stock combinations that dominated by FSD and 14 stock combinations that dominated by SSD.
Identification of Pekalongan Batik Images Using Backpropagation Method
Authors: Surya Rizky Andhika , Fadlil Abdul , Yudhana Anton 
Published: November 2019

Abstract
Batik is an Indonesian cultural heritage that was recognized by UNESCO in 2009. One of the famous batik producing regions in Indonesia is Pekalongan City, Central Java. Pekalongan Batik has a distinctive characteristic compared to other regions, namely from the aspect of color and motif. Pekalongan batik uses bright colors and flora motifs. However, there are some batik craftsmen who still use dark colors. Identify Pekalongan’s typical batik motifs become an obstacle for tourists that are visiting Indonesia. There needs to be an automatic identification system to recognize Pekalongan Batik motifs. The automatic identification system of batik images can contribute to the development of technology in the field of artificial intelligence. This research was conducted by collecting image data taken through observation, interviews and literature review. The image data obtained are four batik motifs. 5 images will be taken from each motif and will be implemented into the system using Matlab R2014a. The next process is feature extraction using the Gray Level Co-Occurrence Matrix (GLCM) method to get information in the batik image. The author then identifies image using the Backpropagation method to obtain the epoch value, learning rate, and accuracy value based on the identification process. The tested system obtained the highest accuracy of 91.2% with epoch 100 and learning rate 0.03 on Sogan batik, 89.6% accuracy with epoch 100 and learning rate 0.02 on Jlamprang batik. 87.2% accuracy was obtained from Cap Kombinasi batik and Tiga Negeri batik with epoch 100, the learning rate was 0.01 and 0.04 respectively. The results of identifying images of Pekalongan batik can be implemented in a more interactive application.
Investigation of the Number of Features and Muscles for an Effective Hand Motion Classifier Using Electromyography Signal
Authors: Triwiyanto Triwiyanto , Utomo Bedjo , Titisari Dyah , Ridha Mak’ruf M. , Rahmawati Triana 
Published: November 2019

Abstract
The essential problem in the development of a prosthetic hand based on electromyography (EMG) signal is the choice of the features and number of muscles that will be used to recognize the hand motion. A minimal number of feature and channel could reduce the cost in the development of the prosthetic hand and processing time. Therefore, it is important to obtain the correct number of feature and muscles in the system. The objective of this study is to evaluate the effectiveness of using the number of feature and muscle to recognize the hand motion for amputee person using the EMG signal. In this study, the EMG dataset was obtained from five transradial amputee persons. Ten disposable electrodes (Ag/AgCl) were placed on the residual hand with equal space between the electrodes. In order to obtain the EMG features which are related to the hand motion, each of the EMG signal was extracted using six-time domain features which are root mean square (RMS), integrated EMG (IEMG), waveform length (WL), difference absolute standard deviation value (DASDV), Wilson amplitude, and myopulse rate (MYOP). Each feature was evaluated using Decision Tree, Linear Discriminant Analysis (LDA), Support Vector Machine (SVM), K-nearest neighborhood, and Ensemble machine learning (ML). The number of class to be classified in this study was eighteen motions. The effectiveness of using the number of features and muscles was evaluated by varying the number of features and muscles. Further, the accuracy, in the discrimination of the motion, was calculated and compared among the machine learnings. The results of this study show that six muscles can effectively classify the eighteen of hand motion. The ML with WL feature has the highest accuracy among the others (81.3% based on quadratic SVM). The study suggested the effective number of muscle and feature which can be used in the prosthetics hand development so that the effective prosthetic machine can be built with a low cost in the time computing and the hardware for data acquisition.
Detection and Analysis of Delayed-Ripening Genes in the Growth of Strawberries (Fragaria × ananassa) Treated 1-Naphtaleneacetic Acid
Authors: Aristya G R , Maulina N T A , Arif M F , Kasiamdari R S , Widiastuti A 
Published: November 2019

Abstract
Strawberries (Fragaria spp.) are non-climatic fruits that are popular due to its good taste, fragrance and attractive colors. It contains anthocyanins and other phenolic compounds capable of preventing such diseases as cancers and heart diseases. Rapid decay of fruits is among farmers’ post-harvest problems. 1-Naphtaleneacetic acid (NAA) is a hormone known to be capable of delaying fruit ripening. Molecular studies of growth and development control genes have been carried out, including color pigment control in strawberry fruits. FaCHS and FaPYR1 are genes that play a role in fruit development, especially in ripening strawberry fruits. The purpose of the present study was to detect fruit ripeness-delaying genes in Fragaria × ananassa treated with 1-Naphtaleneacetic acid (NAA). It was conducted by inducing strawberry plants from Banyuroto, Magelang of Central Java, with 10 ppm, 30 ppm and 60 ppm of NAA. DNA was isolated from fruit using the Nucleon Phytopure Kit and then tested qualitatively and quantitatively using electrophoresis and spectrophotometry. Genes were detected using the MyTaqTM-Bioline PCR method. The phenotypic characteristics showed that there was an increase in the leaves area and stem diameter in the cultivar ‘KP Brite’ and the fruit size in the cultivar ‘Crystal’ after 10-ppm NAA treatment. Results of amplification of FaCHS DNA fragments showed FaCHS was not detected in the cultivar ‘KP Brite’ after 60-ppm NAA treatment, while FaPYR1 could only be detected in the red stage of the cultivar ‘Crystal’ after 10-ppm NAA treatment and the pink and red stages of the cultivar ‘KP Brite’ after 30-ppm NAA treatment.
Martapura river water leads to testes alteration in rats
Authors: Yuliana I , Khatimah H , Rosida L , Skripsiana N S , Suhartono E 
Published: November 2019

Abstract
The Martapura River is the main river in the Banjar district. Local residents use the water for life, even though the river has been polluted. This study aims to analyze changes in testicular morphometry and histology due to drinking water from the Martapura River. A total of 32 male Sprague Dawley rats were randomly divided into two groups (n = 16 per group). The control group was given aquades as drinking water. The treatment group is a group that has been drinking from the water of the Martapura River for 30 days. After euthanasia, the testes were processed and stained with hematoxylin-eosin. Testicular size, number of seminiferous tubules, spermatogonia cells, primary spermatocyte cells, and Leydig cells were analyzed microscopically. Martapura river water significantly induces testicular enlargement (p = 0.0036). In addition, there was a decrease in the number of seminiferous tubules (p < 0.001), spermatogonia cells (p = 0.002), primary spermatocytes cells (p < 0.001), and Leydig cells (p < 0.001) significantly compared to the control group. We conclude that drinking the water from the Martapura River triggers changes in morphometry and histological structure of the testis so that it can disrupt male reproductive function.
Phytoconstituents Investigation on the Ethanolic Extract of Azadirachta indica var. Indonesian and Philippines
Authors: Raissa R , Safitri A , Beltran M A G , Aulanni’am A 
Published: November 2019

Abstract
In the present study, phytochemical screening of ethanolic extracts of Azadirachta indica leaves from Indonesia and the Philippines revealed the presence of different phytoconstituents. Preliminary qualitative chemical test, TLC and LC-MS were used. TLC for all the extracts showed bands in long UV 366 for presence of flavonoid, tannin, saponin, terpenoid. As a result of LC-MS analysis of ethanolic extract Azadirachta indica leaves from Indonesia and Philippines, 10 compounds from Indonesian varian and 7 compounds from the Philippines varian were detected using m/z value. In conclusion, phytochemical screening based on TLC and LC-MS/MS show diverse bioactive compounds in ethanolic extract Azadirachta indica leaves from Indonesia and the Philippines. These can be effective approach for selecting best quality of varian leaves and planting area.
The antibacterial activities of bacteriocin Pediococcus acidilactici of breast milk isolate to against methicillin-resistant Staphylococcus aureus
Authors: Lestari S D , Sadiq A L O , Safitri W A , Dewi S S , Prastiyanto M E 
Published: November 2019

Abstract
Resistance has occurred if an antibiotic cannot kill pathogenic bacteria therefore an antibiotic therapeutic effect cannot be achieved. Broad and free use of antibiotics effected in health problems, one of the health problems is bacteria are experienced the resistance such as Methicillin-Resistant Staphylococcus aureus (MRSA). Therefore an antibiotic alternative is needed from natural ingredients have the potential as anti-MRSA such as bacteriocin. This research was conducted to determine the antibacterial activity of bacteriocin from Pediococcus acidilactici of breast milk isolate (ASI) against MRSA. Bacteriocin isolation was carried out by growing of P.acidilactici on the media of Rogosa Sharpe (MRS) broth. Antibacterial activity test was carried out by diffusion method are to see the inhibition zone and dilution to determine the value of Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MBC). The test results shown that bacteriocin P.acidilactici strains A11 and C12 strains had antibacterial activity against MRSA. The A11 strain inhibition zone is 15 mm, MIC and MBC values are 25%. While the C12 strain inhibition zone produced 18 mm, the value of MIC and MBC was 12.5%.
Molecular Docking Study from Lunacridine, Scopoletin and Skimmianine as Antidiabetes through α-Glucosidase Inhibitor
Authors: Adriani  , Noorhamdani  , Winarsih S , Ardyati T 
Published: November 2019

Abstract
Diabetes is a metabolic syndrome disease characterized by hyperglycemia in patients. The use of medicinal plants for the treatment of diabetes can control blood levels because it contains anti-diabetic active substances. The medicinal plant as an anti-diabetic through inhibition of the α-glucosidase enzyme thereby reducing the absorption of glucose in the small intestine. Lunacridine, skimmianine and scopoletin are found in the Rutaceae family but there is no information about them as α-glucosidase inhibitors. The purpose of the study to determine the ability of lunacridine, skimmianine and scopoletin as inhibitors of α-glucosidase enzymes based on docking molecular studies. The research method is ligand and receptor preparation using Pymol and docking. The docking process uses Autodoct vina in Pyrx and using acarbose as controls. The docking results are visualized using Ligplot and Discovery studio software. The results showed that lunacridine, skimmianine, scopoletin interacted with α-glucosidase and various binding affinity value. The lunacridine binding affinity is close to the acarbose control and can cross cell membranes based on Lipinski rules. Lunacridine has an anti-diabetic ability through inhibition of α-glucosidase enzyme with the inhibitory value close to acarbose control.