bluuebunny/crossref_metadata_2025_split huggingface dataset:
Growth and fabrication of 850 nm AlGaAs/GaAs vertical cavity surface emitting laser structure
Authors: Cabello N I , Tingzon P M , Husay H A , Vasquez J D , Jagus R , Patrocenio K L , Gonzales K C , Catindig G A , Prieto E A , Somintac A , Salvador A , Estacio E 
Published: June 2019

Abstract
In this work, we demonstrate the NIP’s all in-house development of a vertical cavity surface emitting laser structure. The VCSEL structure grown via MBE consists of an AlAs/AlGaAs distributed Bragg reflector and an AlGaAs/GaAs quantum well designed to issue at the 850 nm region. Reflectance spectroscopy showed that the stop band is centered around the designed wavelength. The electroluminescence spectra displayed that the maximum light emission corresponded to its design. This is a crucial step in the NIP’s development of semiconductor lasers, leading towards future high-speed and highly-tunable VCSEL devices.
Effect of ozone technology applications on physical characteristics of red cayenne pepper (Capsicum frutescens L.) preservation
Authors: Sasmita E , Restiwijaya M , Yulianto E , Yuliani  , Arianto F , Kinandana A W , Nur M 
Published: June 2019

Abstract
Research on the application of ozone technology to red cayenne pepper had been done. The purpose of this research was to determine the changes in the physical characteristic, i.e. TPA (Texture Profile Analysis) and color parameters (L, a*, b*) of red cayenne pepper by treated with ozone technology. The research method was red cayenne pepper were not sprayed with ozonated water then stored in room temperature, air-conditioner room temperature, cold storage, cold storage dedicated ozone (R0, A0, C0, and Z0) and red cayenne pepper were sprayed with ozonated water then stored in room temperature, air-conditioner room temperature, cold storage, cold storage dedicated ozone (R1, A1, C1, and Z1). The storage times were five days, ten days, 15 days, 20 days, 25 days, and 30 days. During the storage period, the visual appearance, change in texture, color, and weight loss were measured. The results showed that ozone technology treatment and the length of storage time influenced the texture, color, and weight loss of red cayenne pepper as a conclusion the red cayenne pepper treated by sprayed with ozonated water and stored in cold storage dedicated ozone could maintain the quality of red cayenne pepper for 30 days.
The comparison of ozone production with dielectric barrier discharge plasma reactors series and parallel at atmospheric pressure
Authors: Kinandana A W , Yulianto E , Prakoso A D , Faruq A , Qusnudin A , Hendra M , Sasmita E , Restiwijaya M , Pratiwi S H , Arianto F , Nur M 
Published: June 2019

Abstract
Ozone that was generated by using dielectric barrier discharge plasma (DBDP) reactor has been investigated. In this study, we compared ozone production with reactor series and parallelled at atmospheric pressure. The reactor used models of a wire mesh - aluminum foil configuration. The first reactor uses a series circuit with two reactors and the second reactor uses a parallel circuit with two reactors. Ozone was produced by DBDP reactor using AC high Voltage. Oxygen that source of ozone has been taken from the pure oxygen and natural gas. Some analysis conducted including the variation of voltage, the flow rate of gas and type of source gas which affect produced concentration. Some parameters varied including voltage from 0 - 10 kV and the flow rate of gas 4 - 12 L / min. The results showed that ozone concentration in the series reactor is higher than that of the parallel reactor. The series reactor could produce ozone with a concentration of 348 ppm at a voltage of 10 kV. Then the parallel reactor of ozone could produce with a concentration of 240 ppm at a voltage of 10 kV. We found that series reactor could produce more high ozone concentration at the same voltage.
Effect of duty cycle on ozone production using DBDP cylindrical reactor
Authors: Yulianto E , Aryadi R , Zahar I , Sasmita E , Restiwijaya M , Kinandana AW , Arianto F , Nur M 
Published: June 2019

Abstract
Ozone production using DBDP technology used pulse high voltage to generate ozone. The duty cycle has been used the variations of 10%, 30%, 50%, 60% of the 350 Hz as installed frequency. The DBDP reactor constructed by using cylinder-cylindrical electrode configuration. The inner electrode was made by stainless steel mesh with a length of 19 cm, and the outer electrode was aluminum foil with a length of 19 cm. The barrier was made of tube pyrex glass. Ozone is generated utilizing air as an oxygen-containing gas source with atmospheric pressure and a flow rate of 10 L/minute. The results show that using 10% of the duty cycle produces a maximum output voltage of 5 kV, the resulting ozone concentration of 67 ppm. The 30% cycle produces a maximum output voltage of 7.7 kV and ozone production with a concentration of 115.2 ppm. The 50% duty cycle produces a maximum output voltage of 10 kV with an ozone concentration of 134.4 ppm. The 60% duty cycle is capable of generating a maximum output voltage of 10.77 kV with an ozone concentration generated from 160.8 ppm. We found that using 60% duty cycle is capable of producing high concentrations and ozone capacity.
Detection of sodium aerosol using laser induced breakdown spectroscopy
Authors: Alhamid Z , Khumaeni A 
Published: June 2019

Abstract
Analysis of sodium aerosol is very important in various field including nuclear power station, electronic industry, and medical field. In medical field, aerosol detection can be employed to earlier detection of disease based on liquid in human being. In this present work, aerosol sodium detection has been performed using laser-induced breakdown spectroscopy (LIBS) utilizing pulse Nd:YAG laser. In the study, sodium aerosol made of sodium chloride (NaCl) liquid was deposited on a copper (Cu) metal plate. The Cu plate functions as a metal subtarget to initiate a plasma emission and to improve the emission intensity of sodium line. Experimentally, a pulse laser Nd YAG (1064 nm, 7 ns, dan 45 mJ) was focused on a sodium aerosol to induce a luminous plasma. The plasma was then sent into the spectrometer to obtain the emission spectrum of sodium. The observed sodium aerosol samples were made in five variations based on their various molarities (concentrations). Variations are made, ranging from 1 molar to 3 molar with the difference of each sample of 0.5 molar. Sharp Na lines at 588.9 nm and 589.3 nm, which overlap due to low resolution of spectrometer were clearly detected. The other lines coming from Cu subtarget occurs at 324.7 nm and 327.4 nm. Detail study of sodium analysis using laser induced breakdown spectroscopy will be presented.
Application of MCNP for determining the distribution of absorbed dose in lung brachytherapy by using radiation γ 131cs
Authors: Setiawati E , Pratama Y , Azam M 
Published: June 2019

Abstract
One of the MCNP applications is to determine the radiation dose distribution in the brachytherapy process. In this research performed the calculation of the distribution of radiation doses in the lung organ and some organs at risk, so it can be known whether the doses received by the surrounding organs are still within normal limits or not. The American Association of Physicists in Medicine (AAPM) recommends that the doses administered in patient radiotherapy have inaccuracies that are allowed to be within the range of ± 5 %. This simulation is used to determine the energy of γ-radiation absorbed per particle transformation in the lung organ and other organs around it. The radioactive source used is 131Cs in the form of points with activity varying from 1.7 mCi to 2.3 mCi, and the number of seeds grown varies from 10 to 60. The simulation of the geometry of the human body is made up of phantom ORNL-MIRD. This research made left lung geometry as target organ with density 0,296 g / cm3 and located at a Cartesian coordinate position that is (8,5; 0; 43,5). From the absorbed dose can be calculated dose distribution on each organ including the target organ and the surrounding organ. If the target organ is considered to receive a dose of 100%, then the surrounding organs are left an atrial wall of 59.58%, left atrium content of 14.32%, left a ventricular wall of 11.62%, left the ventricular content of 15.5 % and right lung by 0.17%. From the results of the dose distribution can be said that the organs that exist around the target organs are still safe because receiving a radiation dose is still below 60%.
Zoning landslide vulnerable area according to geological structure, slopes, and landuse parameters In Trangkil Sukorejo Gunungpati Semarang City’s Residental Area
Authors: Yulianto T , Suripin S , Purnaweni H 
Published: June 2019

Abstract
The condition of the geological structure, land use, and slope in Trangkil Sukorejo Gunungpati Semarang City’s residential area can influence the occurrence of the landslide. In this study zoning is conducted to identifying the landslide vulnerable area and based on three main parameters that affect the occurrence of land movement, i.e., Geological Structure (A), Slope (B), and land use (C) according to weighted formula H (Weight) = ((0,24xA) + (0,38xB) + (0,38xC)). The result indicates that the southern part of the settlement is relatively safe than the northern part where the landslide vulnerability point is located, there is a fracture that can trigger the water entry through the weathered breccia.
Finger Edge Contour Perimeter as a Biometric Based Identification System
Authors: Widodo C E , Adi K 
Published: June 2019

Abstract
Generally, personal identification system is still done by conventional techniques, such as using ID cards, passwords or PIN numbers. These systems is easily lost, damaged or forgotten. In this paper we present a new method for identifying a person with a biometric based on palm of the hand. This system does not require a peg like an identification system based on existing hand geometry. Phase of development are: first, the palm image scanned in the RGB format is converted into a gray level. Then the image is converted to binary by giving the correct threshold value. From the binary image, we carry out the edge detection process to get the contour perimeter of the palm. From the contour perimeter of the palm, we measure the length of 8 edges contour perimeter of the fingers i.e. the right edge of the thumb, the left edge of the index finger, the right edge of the index finger, the left edge of middle finger, the right edge of middle finger, the left edge of pinkie, the right edge of pinkie, and the left edge of ring finger. The identification process is performed by minimum distance, which is the smallest euclidean distance value associated with the test image and database. The experimental results giving good performance with a success of up to 90%.
The biodegester flow distribution control system using pressure sensor MPX5700AP
Authors: Mufidah A N D , Setyawan A , Gunadi I , Suseno J E 
Published: June 2019

Abstract
One of the renewable alternative energy and has the potential to be developed is biogas energy. However, in its development there are still some obstacles, one of which is leakage on digester. This leakage is caused by excess gas pressure inside the digester, so the excess gas that should be used is wasted. In addition leaks on the digester can also cause air pollution and global warming. It is therefore necessary to design an effective by adding a controller as a pressure regulator of the biogas flow distribution. The MPX5700AP pressure sensor is installed to measure the pressure of the gas inside the digester. Excess gas in the next digester is flowed and accommodated in the container tube. Based on the research that has been done, can be produced an effective digester. With the automatic pressure control, the biogas distribution process becomes more optimal so as to minimize the exhaust gas from the digester.
The possibility of geothermal permeability detection by using seismic refraction method
Authors: Harmoko U , Yulianto G , Indriana R D 
Published: June 2019

Abstract
Jatirunggo geothermal field is a hot spring manifestation with temperatures ranges 35°C-38°C. Previous research by the resistivity method concluded that the Jatirunggo field as an outflow zone of a geothermal system. This study aim is demonstrating the possibility of the permeable geothermal zone detection by using seismic refraction method’s a complement of the geothermal conceptual model — the main research method by conducting refraction seismic. The method mainly applying active seismic wave to the media and identify the velocity properties of the pathway as a recording logger used 2D geode module which is consisting of 8 channels geophone by 5 meters geophone interval. The penetrating depth can reach 15 m - 20 m. Processing of velocity model has been used Hagiwara algorithm of 2 layers. The result shows velocity seismic recorded has a range of 138 m/s of topsoil layer up to 1742 m/s on the second layer. Based on the velocity model we can interpret the existence of a fault structure corresponding to the emergence of the hot springs, but the method was impenetrable up to the structured target.
Actived carbon from teak wood, jackfruit wood, and mango wood pyrolysis process
Authors: Ratnani R D , Purbacaraka F H , Hartati I , Syafaat I 
Published: June 2019

Abstract
Activated carbon is one of the basic needs in food processing. Activated carbon can be improved from rock, wood and bone processing. This study aims to determine the quality of activated carbon pyrolysis processing from various woods using high temperatures ranging from 500-750 °C. The wood to be made into activated carbon is teak, mango, and jackfruit. Where teak, mango, and jackfruit are the types of wood used for fuel in industrial tofu boilers. The results of this combustion usually only become waste as charcoal boiler waste. The results of combustion contain carbon which can be used as this activated carbon. The quality of activated carbon is seen from the quality test based on SII and SNI. The results of the tests carried out that the best quality activated carbon is activated carbon which is activated by using heat at a temperature of 750 °C with a water test value of 1.01%, evaporator 15.12%, 2.3 ash, carbon-bound 82, 5%, iodine uptake rate 314.15 mg/gram, crystalline rate 40.886% with XRD analysis, pore diameter 8,72 μm, and chemical composition (% b) 95.94% C, 0.33% SO3, 2.06 % chloride, 0.49% K2O, 0.79% Calcium oxide, and 0.38% Cuprum oxide using SEM-EDX.
Normal elements on the generalized moore penrose inverse
Authors: Udjiani SRRM T , Zaki S , Suryoto  , Harjito  
Published: June 2019

Abstract
In a ring with involution we already know that the Moore Penrose inverse can be used to construct the properties of normal elements. By using the fact that the group inverse of an element in a ring will be commutative with element which is commutative with that element, this paper explains that the generalization of Moore Penrose inverse can be also to establish some properties of normal elements in a ring with an involution. Some elements in the ring such as symmetric, EP, partial isometries, etc are also can be expressed in group inverse. So the results of this paper much be required for built the properties of those elements.
Applied Drazin Inverse to Moore-Penrose inverse in rings with involution
Authors: Tarmizi U , Udjiani SRRM T , Hariyanto S , Harjito  , Mansuri F A 
Published: June 2019

Abstract
Moore-Penrose inverse is one of development of generalized inverse. In this paper, we defined and studied a relation between the Moore-Penrose inverse and the Drazin inverse in the setting of rings with involution. The results of this paper are new characterizations of Moore-Penrose inverse by applying Drazin inverse with an algebraic proof.
Bayesian inference for the finite gamma mixture model of income distribution
Authors: Susanto I , Iriawan N , Kuswanto H , Suhartono  
Published: June 2019

AbstractThe income distribution model has provided an important aspect of economic inequality analysis. The determination of income inequality can be assisted by modeling a probability distribution of income which can be modeled by both parametric and nonparametric method. In the parametric perspective, the finite mixture distributions can perform a data-driven capability to model this income pattern of distributions which have particularly long-tailed, right-skewed and multimodal characteristics. The gamma distribution which has been widely used for estimating income distribution is used to develop the finite gamma mixture model which means the gamma distribution in each mixture component of the model. Bayesian approach pairs up with the Markov Chain Monte Carlo (MCMC) which has a valid inference without depending on normality asymptotic condition is used to estimate this finite mixture model. In this paper, the household income which was constructed based on the Indonesian Family Life Survey (IFLS) 2014-2015 data was utilized to show the work of the Bayesian inference performance through MCMC algorithm in estimating the parameter of the finite gamma mixture model. The goodness-of-fit comparisons of proposed finite gamma mixture models were made based on the widely applicable information criteria (WAIC).
Exchange rate volatility and exports: a panel data analysis for 5 ASEAN countries
Authors: Subanti S , Hakim A R , Riani A L , Hakim I M , Nasir M S 
Published: June 2019

Abstract
The study of the effects of exchange rate volatility has still attracted the attention among economist, especially international economist. Because, if the exchange rate is unpredictable, it makes uncertainty about the profits to be gained, so this conditions may diminish the gain from international trade. In addition, some empirical literature provides various findings, where the exchange rate volatility has a positive effect on exports and can also negatively effect on exports. This paper wants to provide empirical evidence on both of these. It uses panel data involving five ASEAN countries with a period of 2000 – 2016. We also apply some analysis in panel data, such as the pooled least squares method, the fixed effect method, and the random effect method. The findings show that the exchange rate volatility has negative impact on exports. This paper suggests that each of central bank should pursue sustainable and stable exchange rate policy measures to promote greater exchange rate stability that would help to enhance the real exports of the economy.
Generalized extreme value distribution for value at risk analysis on gold price
Authors: Pratiwi N , Iswahyudi C , Safitri R I 
Published: June 2019

Abstract
Gold investment has some benefits, it’s not only safe in value but also easily stored, durable, and the rate of return is relatively stable even several years tends to rise. Gold prices give us positive and negative side depending on the different event. To managing the negative side of holding gold, the investor has to measure the risk of gold at a given period. The most popular measurement of gold investment risk is Value at Risk (VaR). Determination of inappropriate methods will make VaR calculations inaccurate. The gold’s price from year to year is suspected to have fat tail distributed (heavy tail), the Extreme Value Theory (EVT) is considered as precise methods to find VaR. In this study, the Generalized Extreme Value (GEV) approach used in EVT estimated. GEV distribution identifies extreme values based on the maximum value of each block. Test results show that monthly block usage yield VaR value is more accurate than 0,899%. It means that for one coming period with a 95% confidence level the maximum loss that investors may experience is 0.899% of the total investment.
Locally D-optimal design for weighted exponential model and its computation
Authors: Widiharih T , Rusgiyono A , Sudarno  , Mukid M A , Prahutama A 
Published: June 2019

Abstract
Weighted exponential model is used as a growth curve. We introduce locally D-optimal design for weighted exponential model with three parameters. The assumption of this model ishomoscedastic error. D-optimal criterion is a criterion which is the value of standardized variance less than or same the number of parameters. The design in this paper, number of supported designis three and have same weight

1
3

. Determination of the supported designs by maximizing the determinant of the information matrix. We present this formula, this is a nonlinear model, so to maximizing it we use numerically aproach.
Analysis of space and classification poverty in Semarang City using spatial-logistic regression
Authors: Ispriyanti D , Prahutama A , Mustafid  
Published: June 2019

Abstract
The declining poverty rate becomes the priority of the Sustainable Development Goals (SDGs). In the period of 2002 - 2017 poverty rate in Central Java experienced a decrease, as similarly found in Semarang city. Examining the factors affecting the poverty classification in Semarang city, therefore, is deemed important. The analysis used in this research was conducted by examining the spatial factors and classification of poverty levels by means of the logistic model. The logistic model resulted was found to be capable of classifying the poverty levels, and the spatial model used was capable of modeling each region. In modelling the binary logistic regression, a number of factors affecting the poverty classification included the number of family members, education certificates of the head of family, the main fuel used for cooking, and listed as the receiver of the rice for poor or not. Accuracy on the classification of binary logistic regression models reached 94.9%. For spatial modeling by means of Geographically Weighted Regression (GWR), the dependent variable used referred to the number of underprivileged families in each sub-district. In GWR modeling, each sub-district had its own characteristics in modeling the number of underprivileged families in each sub-district in Semarang city.
Using C4.5 algorithm to predict students monthly payment on islamic boarding school
Authors: Istiana S R , Waspada I 
Published: June 2019

Abstract
Assalafi AlFithrah is islamic boarding school located in Meteseh Semarang. In 2012 until 2016, it received 262 students from various regions in Indonesia. Fulfillment of life necessities of students is one of the things that should be considered by boarding school management. The basic necessities of life is food, clothing, place, education and health care. The monthly payment needed to cover the necessities of students in Assalafi AlFithrah. There are number of students whos payment were delayed. From these problems, it was necessary to predict the delay of monthly payment to estimate whether students will be late to pay or not. Data mining as solution to predict the delay of the monthly payment on students. One of a robust classification technique of data mining on categorical data is C4.5. Experiment conducted based on Knowledge Discovery Database (KDD) with C4.5 algorithm resulted average accuracy 81.15%, with average value of precision 77.62% and average value of recall 91.90%. This Application can give recommendations for scholarship to poor families. With this application can improve service and trust of parents towards the survival of students in schools.