bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of addition waste bottle and fly ash variation to compressive strength environmentally friendly paving block
Authors: Diana A I N , Deshariyanto D 
Published: June 2020

Abstract
The problem of waste has not been resolved, so alternative building materials are needed as a substitute or filler in making mixtures. Paving block is one of the alternative road pavement which is widely use in Sumenep district. Information from civil engineering Wiraraja laboratory in 2018, showed the number of paving block tests reached 211 from 45 companies. Alternative substitute material is fly ash and alternative filler material is the utilization of plastic waste. This research use comparison 1Pc : 4 Ps, fly ash variation 10%, 20%, 30%, 40%, 50% from cement weight and 0.5% of waste plastic from total mixture. Data analysis using SPSS software. This research presents, there is a simultaneous influence on the compressive strength that is influenced by variations of fly ash. The sequentially compressive strength of fly ash variation is 15.90 Mpa, 17.49 Mpa, 15.64 Mpa, 12.24 Mpa, 11.54 Mpa, 9.43 Mpa. The regression equation model obtained Y = 17.538 + (-0.154) X. Therefore, The quality of paving blocks based on SNI namely experiments I and III are included in the C quality category, experiments II is included in the B quality category, experiments IV, V, VI are included in the D quality category.
The application of the factor analysis method to determine the performance of IT implementation in companies based on the IT balanced scorecard measurement method
Authors: Sardjono W , Selviyanti E , Perdana W G 
Published: June 2020

Abstract
The purpose of this paper is to provide an overview of how to measure the performance of information technology implementation in a company by using factor analysis and regression analysis methods. From the resulting mathematical model, it can be used to make predictions and make strategies in the implementation of information technology in the future. The concept was developed from the IT Balanced Scorecard (IT BSC) theory which was developed by constructing each of the existing perspectives to obtain indicators which are then used as a research instrument in the form of a questionnaire. Data were collected by distributing questionnaires to 75 respondents, but only 70 questionnaires were complete and valid for this study. The data obtained were then analyzed using the factor analysis method. The analysis shows that there are four factors that affect the performance of IT implementation, namely: IT Competency, IT Service Capability, Business Continuity, and IT improvement.
Properties of content semimodules
Authors: Ni’mah Z , Hafiyusholeh M , Utami W D 
Published: June 2020

Abstract
A semimodule M over semiring S is called a content semimodules if for every x ∈ M, then x ∈ c(x}M which c(x) = ∩{I|I ideal of S, x ∈ IM} and c is a function from M to I is called the content function. Semimodule is generalization of module, so the study of properties content modules that apply in content semimodules is needed. The aim of this study is investigated properties of semimodules that apply in content semimodules. Indeed we prove content semimodule M satisfy s(c(x)) = c(sx) for all x ∈ M if and only if (I:
Ss}M = (IM:
M s}. Furthermore, if M is content torsionfree semimodule over semidomain S then s(c(x)) = c(sx) for all s ∈ S and x ∈ M. By adopting a concept of semidomain, it has been proven that if every principal ideal of S is subtractive and M be a normally flat semimodules then M is torsionfree semimodule, implies that M is normally flat content semimodules so that applies s(c(x)) = c(sx). If M is content semimodule and I ideal of semidomain S that satisfy (I:
S s}M = (IM:
M s) then (I:
S J}M = (IM:
M J} for all I, J ideal of S, implies that for normally flat content semimodule M over semidomain S applies (I:
SJ}M = (IM:
MJ}.
Enviromental housing planning with rainwater harvesting system as clean water resources using 3D in Sumenep regency
Authors: Fansuri S , Zainah N 
Published: June 2020

Abstract
Todays, so many housing developments in Sumenep, but not in accordance with the existing Indonesian National Standards. The purpose of environmentally housing is complying with the Indonesian national standard stipulations concerning various aspects of housing planning, plumbing plans which reuse rainwater as clean water. The requirements of data required for basic residential environment research are primary and secondary data. Location planned in Pangarangan Village, Kab. Sumenep. Secondary data is data obtained from the agency concerned. Based on data analysis techniques used in this study is quantitative data analysis, and the calculations are done by Design House using AutoCAD and 3D Sketchup applications, and Plumbing Installation Analysis. The total land area to be planned for housing is 3,400 m2, the land utilized for the house is 1,800 m2, and the land for public facilities and social facilities is 1,600 m2. Every house that is planned in this housing, is given rainwater storage to be reused into clean water. The results of the analysis and calculation of clean water for type 65 as many as 10 units of houses and type 85 of 4 units of houses in 2019 amounted to 6.72 m3/day, which sufficient for daily needs.
Measurement of maturity of small medium agroindustry business processes in Jember, Indonesia
Authors: Utami W , Khrisnabudi N G , Farida L , Apriono M , Utami E S , Sudarsih  , Gumanti T A , Wulandari D A R 
Published: June 2020

Abstract
Business competition cannot be separated from the existence of Micro, Small and Medium Enterprises (MSMEs) as the basic of the Indonesian economy. The number of agricultural sector MSMEs in East Java has a greater proportion than non-agricultural MSMEs. The economies in Jember Regency are supported by one from the agriculture sector. Maturity of business processes is one of the factors that greatly influences the readiness of MSMEs in implementing information systems in supporting their business operations. The assessment of business process maturity can be done using the Business Process Orientation Maturity Model (BPOMM) where this model has nine assessment areas. The study was conducted at three Agroindustry MSMEs in Jember Regency. This study compares the level of business process maturity of each MSME and provides input related to the areas that need to be improved by the three MSMEs. The results obtained from this research are the maturity of the third MSME business processes at level 1 (Ad Hoc) where the Mister Te maturity value is 3,859; UD Mitra Jamur of 3,484; and Bestcow 2,917.
Estimation of Whole Blood(WB) and Anti-Hemophiliate Factor using Extended Kalman Filter in PMI Surabaya
Authors: Muhith A , Herlambang T , Anshori M Y , Rizqina R , Rahmalia D , Hermanto  
Published: June 2020

Abstract
Every hospital is required to have a Hospital Blood Bank (HBB), a service unit of the hospital responsible for the availability of blood for safe transfusion, of high quality and sufficient to support health services in the hospital and other health care centers. PMI (Indonesian Red Cross) continues to campaign for blood donations as part of a lifestyle (lifestyle). Every year, PMI set its targets of up to 4.5 million blood bags to meet the national blood needs, adjusted to the standards of the International Health Institute (WHO), which is 2% of the population for each day. With a continuous campaign by PMI, the stability of blood stock and distribution on target must be maintained, and the importance of blood distribution both blood coming from blood donors and blood distributed to PMI or other regional hospitals must be taken into account, therefore a software is required to estimate blood stock.for the blood banks. In this paper an estimation of Whole Blood (WB) and Anti-Hemophiliate Factor (AHF) blood demand was made at PMI Surabaya. Estimation is made because a problem can sometimes be solved by using the previous information or data related to the problem. One estimation method used was Extended Kalman Filter (EKF), an estimation method with a fairly high degree of accuracy. Based on the simulation results, a numerical study was obtained based on the number of iterations, and that with 350 iterations showed a higher accuracy than those with 250 and 150 iterations. The accuracy reached was within the range of 95-98 %.
The commutator of raising and lowering operators for angular momentum to the free particle’s hamiltonian
Authors: Sugihartin A F , Supriadi B , Subiki  , Rizqiyah V , Rizky N , Utami F 
Published: June 2020

Abstract
In general some operators in quantum mechanics are not commutable, which means the measurement of two or more operators can’t be done simultaneously. Angular momentum operator and Hamiltonian are examples of operators that can only be measured using a mathematical approach in the form of a commutation relationship. Based on the fifth postulate of quantum mechanics about a constant of motion, if an operator commute with Hamiltonian operator then the operator is a constant of motion. This study was conducted to examine the commutation of the angular momentum operators to the Hamiltonian operator. The commutation of the angular momentum operators

L
^

x

,

L
^

y

,

L
^

z

,

L
^

+

, and

L
^

−

to the Hamiltonian operator shows that the operators are commute because the values are zero. Otherwise, the results of the component quadratic angular momentum operators commutator

L
^

x

2

,

L
^

y

2

,

L
^

z

2

,

L
^

2

,

L
+

2

and

L
−

2

against Hamiltonian operator show that the operators aren’t commute with the Hamiltonian operator because the values are not zero. Based on the results of the commutation relation indicate that the angular momentum operators are the constant of motion otherwise the quadratic angular operator are not the constant of motion.
Complete solutions of particle in three dimensional box with variations in main quantum number
Authors: Supriadi B , Nuraini L , Maulani A S R , Damayanti D D , Sugihartin A F , Baihaqi M I 
Published: June 2020

Abstract
Particle in a box is one of the applications of the Schrodinger equation. Schrodinger equation gives wave function which is used to determine the probability and expectation value of particle in a box. It is also can explain the energy levels of the particle. This study aimed to determine the probability, expectation values, and energy levels of a particle in a three-dimensional box with variations in main quantum numbers in each coordinate axis. The magnitude of the wave function and energy levels are influenced by the main quantum number and the width of the box. The results show that variations in the main quantum number influence the probability of particle in the three-dimensional box except for the width of the box

L
2

and L the probability of particle showing the same value in all variations of the main quantum number. Variations in the main quantum number also influence the expectation value of particle in a three-dimensional box except for the width of the box L the expectation value shows the same value in all variations of the main quantum number. All variations of the main quantum number also influence the magnitude of the energy level of the particle.
Analysis of the relationship between the distance barriers GaAs and GaAs with the transmission coefficient and the reflection coefficient
Authors: Supriadi B , Rizky N , Yushardi  , Agustin N C , Epiningtiyas S , Makmun M S 
Published: June 2020

Abstract
The tunneling effect is a phenomenon of the behavior of particles with small energy having a probability to penetrate the barrier potential. The transmission coefficient is the ratio of breakthrough particles to incoming particles. The reflection coefficient is the ratio of reflected particles to incoming particles. The tunneling effect is analyzed using the Schrodinger equation with the matrix propagation method. The purpose of this study is to analyze the relationship between the distance barriers with the transmission coefficient and the reflection coefficient. The barriers used are GaAs and GaAs with potential energy of 1,424 eV with a bandgap of 0.565 nm. The researcher used 1 eV with a distance between barriers 0.25-2 nm with a change in the distance between barriers is 0.25 nm. Changes in the distance between barriers GaAs and GaAs affect the value of the transmission coefficient and the reflection coefficient. Changes in the distance between the barrier produce a transmission coefficient and a reflection coefficient that is periodic because the distance between the barriers has the form of complex exponential functions. This research application is used to design and develop new structures in improving the quality of semiconductor devices such as diodes, transistors, and IC.
Numerical simulation of mass in core decay of radioactive substance Thorium-232 series
Authors: Yushardi  , Supriadi B , Tresnowati D S , Ridlo Z R 
Published: June 2020

Abstract
Radioactive elements are elements whose isotopes have unstable nuclei, so they have the possibility to emit radiation through the decay process. Thorium-232 is one of the most stable radioactive elements with isotopes that have abundance in nature 3 times more than Uranium. The purpose of this research is to find the mass of remaining atoms in the Th-232 series which experience very slow decay through the alpha and beta decay process to become a stable core Pb-208. The settlement of radioactive chain decays usually uses very complicated differential concepts. The matrix algebra method is a solution to facilitate the completion of radioactive chain decay which can be implemented computationally through matlab programming. Research that occured on Th-232 with a mass of 7 gram for 1,34 x 1010 years ago showed that the parent nuclide had the most decay residual mass compared to its derived nuclides, because the half-life of the derived nuclide was shorter than the decay time. The number of decay residual mass owned by the parent nuclide is 3,596 grams. The results of this research indicate that the mass of residual radioactive decay is influenced by the half-life of each nuclide and the length of decay.
Using factor analysis and regression analysis to develop mathematic modeling to support online application implementation in transportation business
Authors: Sardjono W , Selviyanti E , Perdana W G 
Published: June 2020

Abstract
Factor analysis is used to reduce data or summarize, from the old variable which is widely changed to a few new variables called factors, and still contains most of the information contained in the original variable. While regression analysis studies the relationship between one or more variables/independent variables (X) with one dependent variable (Y).The purpose of this paper is to describe how the factor analysis method can be used to provide solutions to operational problems such as problems with public transportation services with online applications, for this reason the research was conducted in identifying what factors influence the quality of online applications, and henceforth can be used in building mathematical models that can explain practical applications and predictions in the future. This research is explained in a quantitative descriptive form using exploratory factor analysis and regression analysis methods to process primary data and build models. The conclusion of this study is that there are 22 indicators and three factors that determine the quality of the application. The three factors produced are system and information factors, user impact factors, and promotion factors. These three factors can henceforth become a model in determining customer satisfaction as an end user of public transportation with an online application.
Analysis of magic table in completin of closed flow circuits
Authors: Antoro B H , Supriadi B , Prihandono T , Muttaqin M R , Azizah N H , Epiningtiyas S 
Published: June 2020

Abstract
Problem of two-loop electric circuits is classified in the material that has a high degree of difficulty for students. Its completion requires several processes and a thorough analysis, translation of problem languages in mathematical language, applying concepts, and making algorithms. Electrical circuit material is often put into several tests which is implemented on university selection exams or national exam. In solving problems, students need a relatively long time. More effective and efficient methods are needed to solve the problem of two-loop electric circuits. The purpose of this research is to describe the Magic Table as a new solution in solving the electric current of a two-loop circuit more easily. The method used is the Ohm law concept and principle of simplifying Thevenin and Northon circuits, so that a replacement voltage is obtained to find the current strength in the circuit. This research analyzes several types of two-loop circuits with varying voltage and resistor sources. The results showed the calculation analysis using the magic table is easier and simpler than the elimination and substitution methods. With the application of simple concepts and algorithm, the Magic Table can be applied as a new solution to solving the problem of two-loop electric circuits.
Comparison between Neural Network (NN) and Adaptive Neuro Fuzzy Inference System (ANFIS) on sunlight intensity prediction based on air temperature and humidity
Authors: Rahmalia D , Herlambang T , Kamil A S , Rasyid R A , Yudianto F , Muzdalifah L , Kurniawati E F 
Published: June 2020

Abstract
Weather prediction expecially in predicting sunlight intensityhas important role in energy usage. As effort for controlling petrol-based fuel usage, government manage energy usage by converting solar energy from sunlight intensity to electric through solar cell.Sunlight intensity depends on air temperature and humidity. Two methods on prediction process will be applied : Neural Network (NN) and Adaptive Neuro Fuzzy Inference System (ANFIS). Type of NN used in prediction process is Backpropagation. Backpropagation consists of forward propagation, backward propagation, and update weight matrices. ANFIS uses hybrid method to train consequent parameters and premise parameters. In this research, NN will be compared with ANFIS. From five trials of NN simulations, the number of maximum epoch for making the root of mean square error(RMSE) in training data is very large so that the computation time is very long. From the comparison result of two methods, we can see that ANFIS can make faster prediction than NN with the number of maximum epoches is smaller than NN so that computation time is faster.
Bias correction and statistical downscaling of earth system models using quantile delta mapping (QDM) and bias correction constructed analogues with quantile mapping reordering (BCCAQ)
Authors: Fauzi F , Kuswanto H , Atok R M 
Published: June 2020

Abstract
Earth System Models (ESM) is a model that can simulate, predict climate change that occurred in the past, present, and create climate change scenarios in the future. ESM output has not been able to represent local scale climate. Statistical Downscaling (SD) is a static downscaling process in which data on a large-scale grids in a certain period and time period is used as a basis for determining data on small-scale grids. SD results still have a sizeable bias, so we need a method that works to reduce the bias. The bias correction method used in this research is Quantile Delta Mapping (QDM) and bias correction constructed analogues with quantile mapping reordering (BCCAQ). This study downscales the rainfall and maximum temperature data generated from Beijing Normal University Earth System Model (BNU-ESM) and ERA-Interim as the proxy of the observation. The skill is verified by means of Taylor Diagram showing the correlation value, the Root Mean Square Error (RMSE), and standard deviation. Based Taylor Diagram the QDM has better performance compared to the BCCAQ method. The performance of downscaling and bias correction during September-October-November (SON) is the best compared to other seasons.
Spatial extreme modeling using student t copula approach in Ngawi Regency
Authors: Fauziyah M , Sutikno  , Purnomo J D T 
Published: June 2020

Abstract
Extreme rainfall is an unpredictable phenomenon which causes suffering effect such as flooding. Located on the Equator area, Indonesia results in a high intensity of extreme rainfall. Initial information regarding the patterns, characteristics, and rainfall prediction is needed in order to minimize the negative effect of such phenomenon. A method that can be used to predict extreme rainfall is the spatial extreme value using the copula approach. The copula approach used in this study is student-t copula. The Generalized Extreme Value (GEV) distribution used for the student-t copula with parameter estimation is Pseudo-Maximum Likelihood Estimation (PMLE). The proposed method was applied to model the extreme rainfall atNgawi Regency. An extreme spatial dependency on location is shown by extreme coefficient graphic. The best model that is obtained is based on Akaike Information Criteriation’s (AIC) lowest value. The best model then continues to be used to predict the rainfall intensity return level. The prediction result of the rainfall intensity return level value shows that the maximum value of rainfall intensity increases from year to year in each station.
Modeling the volatility of gross domestic product based on the volatility of money supply, inflation, interest rate, and exchange rate using the fractional cointegration model
Authors: Abdullah A , Kuswanto H , Prastyo D D , Suhartono  
Published: June 2020

Abstract
Economic growth is a quantitative index to determine the level of economic progress that can be measured by gross domestic product (GDP). Various literatures aim to solve problems regarding patterns of economic growth as well as about the determinants wherein the analysis volatility models are used. Some indicators of economic growth are money supply, inflation, interest rates, and exchange rates. Economic variables are recorded as time series data with different periods, and hence temporal aggregation is required to analyze. Economic time series data showing the existence of long memory and structural breaks, which leads to the difficulty on explaining the data only with a general model. Therefore, both long memory models and structural break are proposed to be taken into account in the model. In this analysis, the residual from a linear combination of economic variables follows a long memory process indicating a cointegration relationship between these variables. This paper models GDP volatility based on money supply, inflation, interest rate and exchange rate volatility in Indonesia, Philippines, Malaysia, and Singapore using the Fractional Cointegration model with long memory and structural break. The analysis shows that structural break is only found in the volatility of GDP of Indonesia, Malaysia, and Singapore while the nature of long memory is found in almost all economic variables’ volatility. Furthermore, we found the cointegration model, stationary and persistent noise in all countries.