bluuebunny/crossref_metadata_2025 huggingface dataset:
On the local (adjacency) metric dimension of split related wheel graphs
Authors: Albirri E R , Dafik  , Agustin I H , Adawiyah R , Alfarisi R , Prihandini R M
Published: June 2020

Let G be a simple and connected graph. When G graph is added by new vertex v’ in graph G (where the number of vertex v’ corresponds to vertex v) such that if v
1 adjacent to v
2 in G then v
1 will adjacent to v
2 in G. The G graph is called split graph. When G has m
v’-vertices, then it is called m-splitting graph. Let V(G) is a set of vertices and let E(G) is a set of edges. They are two sets which form graph G. W is called a local adjacency resolving set of G if for every two distinct vertices x,y and x adjacent with y then rA(x|W) = rA(y|W). The local adjacency metric basis is a minimum local adjacency resolving set in G. The cardinality of vertices in the basis is a local adjacency metric dimension of G (dimA,l
(G)). We present the exact value of local adjacency metric dimension of m-splitting related wheel graphs.
On the local antimagic vertex coloring of sub-devided some special graph
Authors: Dafik  , Agustin I H , Marsidi  , Kurniawati E Y
Published: June 2020

A graph G is an ordered pair of sets G(V, E), where V is a set of vertices and the elements of set E are usually called edges. The concept of graph labeling has recently gained a lot of popularity in the area of graph theory. his popularity is due not only to the mathematical challenges of graph labelings but also to the wide range of applications that graph labeling offer to other brances of science, for instance, x-ray, cryptography, coding theory, circuit design and communication network design. A graph labeling we mean an assignment of integers to elements of a graph such as vertex, edge, and both. Local antimagic of a graph was motivated by Arumugam et al.. Thus, we initiate to developed the concept of local antimagic vertex coloring for subdevided graphs. A graph G called sub-devided if the graph G be the graph obtained by inserting a vertex to each edge of the graph G. Definition the concept local antimagic vertex coloring is f : E(G) → {1, 2, 3…, |E(G)|} if for any two adjacent vertices a
1 and a
2, w(a
1) = w(a
2), where for v ∈ G,

w
(
a
)
=

∑

e
∈
E
(
a
)

f
(
e
)

, where E(a) and V(a) are respectively the set of edges incident to a. The local antimagic vertex labeling induces a proper vertex coloring of graph G if each vertex a is assigned the color w(a). The minimum colors needed to coloring the vertices in graph G called local antimagic vertex chromatic number, denoted by χla
(G). In this paper we study the local antimagic vertex coloring of sub-devided some special graph as follows SFn,m
, SSn,m
, SWn,m
and SFn,m
.
Properties of cartesian multiplication operations in complete fuzzy graphs, effective fuzzy graphs and complement fuzzy graphs
Authors: Yulianto T , Hayati N , Agustin I H , Amalia R , Faisol  , Kuzairi  , Irwansyah B
Published: June 2020

This study aims to investigate the properties of cartesian multiplication operations on fuzzy graphs. The properties investigated are cartesian multiplication on complete fuzzy graph, effective fuzzy graph and complement fuzzy graph. The method used in this study is a theoretical research method. The results showed that the Cartesian multiplication of two complete fuzzy graphs is not a complete fuzzy graph. The Cartesian multiplication of the two effective fuzzy graphs is the effective fuzzy graph, while for the Cartesian multiplication of the two fuzzy complement graphs, it is not the same as the Cartesian multiplication of the two effective fuzzy graphs.
On the local multiset dimension of graph with homogenous pendant edges
Authors: Adawiyah R , Dafik  , Agustin I H , Prihandini R M , Alfarisi R , Albirri E R
Published: June 2020

Let G be a connected graph with E as edge set and V as vertex set. rm
(v|W) = {d(v, s
1), d(v,
s
2),…, d(v, sk
)} is the multiset representation of a vertex v of G with respect to W where d(v, si
) is a distance between of the vertex v and the vertices in W for k—ordered set W = {s
1, s
2,…,sk
} of vertex set G. If rm
(v|W) = rm
(u|W) for every pair u, v of adjacent vertices of G, we called it as local resolving set of G. The minimum cardinality of local resolving set W is called local multiset dimension. It is denoted by μl
(G). Hi
≅ H, for all i ∈ V(G). If H ≅ K
1, G ⊙ H is equal to the graph produced by adding one pendant edge to every vertex of G. If H ≅ mK
1 where mK
1 is union of trivial graph K
1, G ⊙ H is equal to the graph produced by adding one m pendant edge to every vertex of G. In this paper, we analyze the exact value of local multiset dimension on some graphs with homogeneous pendant edges.
Implementation of xgboost for classification of parkinson’s disease
Authors: Abdurrahman G , Sintawati M
Published: June 2020

Parkinson’s Disease (PD) is an advanced neurodegenerative illness. It is about 90% of PD sufferer shows speech disorders in the initial stages. Hence, in this research, speech features were applied to classify this illness. The most famous speech features used in PD research are jitter, shimmer, fundamental frequency parameters, harmonicity parameters, Recurrence Period Density Entropy (RPDE), Detrended Fluctuation Analysis (DFA), and Pitch Period Entropy (PPE).Those features were then called as baseline features used in this research. In this research, the XGBoost algorithm was used for the classification of PD. Initially, the whole baseline features were used in the XGBoost algorithm and obtained an accuracy score of the model 84.80%. For improving the model, feature selection was performed by plotting feature importance, which causes features of locShimmer (Fscore = 3) was excluded from the model. After feature selection was performed, the accuracy score of the model has increased to 85.60 %. We tried to improve the model using for second features selection, by excluding features with F-score values less than 20. However, after performed this feature selection, the accuracy of the model was decreased to 84.40 %. Thus, the model used is the model with an accuracy of 85.60%.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
The performance evaluation of the bivariate EWMAcontrol chart using CARL distribution and EPC
Authors: Acita Selly , Mashuri Muhammad , Prastyo Dedy Dwi
Published: June 2020

In general, control charts are developed with the assumption that the critical quality of a production process is normally distributed with known parameters. However, in practice, critical quality is not always normally distributedand process parameters are typically unknown. In such a case, it is necessary to estimate the parameters. One of the measuresto evaluate the performance control charts is Average Run Length (ARL). When the process parameters are estimated, the run-length follows its conditional distribution so-called Conditional Average Run Length (CARL). In this study, the performance of the Bivariate Exponentially Weighted Moving Average(BEWMA)control chart will be evaluated by considering the practitioner to practitioner variability using the CARL distribution and the Exceedance Probability Criterion (EPC). The value of CARL is calculated using the Markov Chain method. The EPC is used to evaluate practitioner to practitioner variability that is closely related to parameter estimation.The results show that to guarantee the in-control performance Phase II chart based on EPC, the large size of observations in Phase I data is needed. However, in practice, it is difficult to collect such a huge size ofdata in Phase I. Therefore, to produce the best in-control performance with available Phase I, the control limits are adjusted.
Three-parameter bivariate gamma regression model for analyzing under-five mortality rate and maternal mortality rate
Authors: Wenur G H , Purhadi  , Suharsono A
Published: June 2020

Gamma regression is often used to model continuous, right-skewed and strictly positive data. This paper discusses three-parameter gamma regression, namely scale, shape, and location parameter, with two correlated response variables. The purpose of this study is to determine the estimator parameters, perform the testing for the parameters using Maximum Likelihood Ratio Test (MLRT) and its application in the cases of the Under-five Mortality Rate (U5MR) and the Maternal Mortality Rate (MMR) in North Sulawesi, Gorontalo, Central Sulawesi Provinces in 2016. The parameter estimation in this global model obtained through MLE. Nevertheless, the results showed an unsolvable equation in closed-form, then we used numerical optimization. In this study, we were using the Berndt-Hall-Hall-Hausman optimization method. After the estimation results are obtained, the estimation parameters need to be tested with a simultaneous test with the MLRT,while for test partially, we used the Z test. Moreover, the factors that influence U5MR and MMR are the poor population, the obstetric complications handled, the mothers received Fe3 during pregnancy, the teenage pregnancy,the children under-five received vitamin A and the households with clean and healthy life behavior.
Analyzing the roles of the construction sector by using multiplier analyses: the cases of Indonesia and Japan
Authors: Zuhdi Ubaidillah
Published: June 2020

This study aims to analyze the roles of the constructionsector in the Indonesian and Japanese national economies by employing simple output and simple household income multipliers, the analysis devices in the analysis of Input-Output (IO). The analysis periods of the study are 2010 and 2011. The former year is an analysis period for the case of Indonesia while the Japanese case utilizes the latter one.The study uses2010 Indonesian and 2011 Japanese IO tables as data.The results show that, by utilizing simple output multiplier, the discussed sector included in the top five sectors for both cases on the analysis periods. Based on the results, one can say that the sector had the important positions in the national economies of both countries on the periods of analysis. On the other hand, by using simple household income multiplier,the analyzed sector included in the top five sectors on the analysis period for the Japanese case.
The simulation of weathering processes in three different types of oil
Authors: Millah N , Nugraheni K , Anggriani I
Published: June 2020

Pipeline leaks, wells damage, and water transportation accidents are some of the causes of oil spills at sea. This spill causes seawater pollution and disturbs the equilibrium of marine life. Oil spills will spread and move with the influence of currents and sea wind. Spilled oil undergoes several physical and chemical processes, including spreading, evaporation, emulsification, dissolution, and dispersion. This process results in changes in oil density, volume, and viscosity. It is important to be aware of changes in oil spill conditions because it relates to clean up efforts of oil spills at sea. This research presents some mathematical models of the oil weathering processes which include physical and chemical processes. Then a numerical simulation is performed using a finite difference method to see the changes that occur in three types of oil: heavy, medium and light oil. Simulation results show that the three types of oil have a relatively similar tendency to spread. The highest rate of evaporation and emulsion water content is shown by light oil. This resulted in higher volume and viscosity. Therefore, the process of cleaning up will require greater effort for light oil spills.
Recognition of person’s character through the shape of signature using Radial Basis Function Neural Network (RBFNN) method
Authors: Faisol  , Ahmad  , Sakdiyah Halumatus , Aini Qurratul , Kuzairi  , Yulianto Tony
Published: June 2020

Signatures are a marker or identity that exists in a document. Signatures have an important role in verifying and legalizing documents. The purpose of this study is to apply image processing techniques to signatures and to identify patterns of signature images based on entropy values. The stages of the research include taking respondents’ data in the form of analog image signatures, then the acquisition of digital signature images by scanning the signatures. The next step is to convert digital hand images from true color to binary. The last step is calculating the entropy value, recording the entropy value calculation time using Matlab software and looking at the distribution of entropy values from each signature image. From this method, the result of 50 data of signatures taken from students of the Islamic University of Madura (UIM) of the FMIPA, there are 11 to 1st type, 1 to 2nd type, 13 to 3th type, 4 to 4th type, 9 to 5th type, 3 to 8th type, 7 to 9th type and 2 to 11th type.
Sentiment analysis for Indonesia hotel services review using optimized neural network
Authors: Apriliani D , Abidin T , Sutanta E , Hamzah A , Somantri O
Published: June 2020

In this paper, the sentiment model for the classification of review of hotel services in Indonesia is proposed to get a recommendation supporting the decision to search for the best hotel as the background in this study. The neural network model is applied to get the best model in this sentiment analysis. The stages of the research were carried out by first preprocessing the text data obtained through feature selection, in addition to optimizing the selection of attributes and optimizing the parameters carried out to improve the accuracy of the obtained classification. The genetic algorithm is proposed for parameter optimization due to limitations in neural networks in determining parameter values. Based on the results of the experiment, in the neural network model after optimization, the best accuracy rate is 88.99%.
On the modeling of the new student acceptance status through science and technology written test using bernoulli mixture model
Authors: Shiela Novelia D P , Zain Ismaini , Iriawan Nur , Suryaningtyas W
Published: June 2020

This research aimed to model StudentAcceptance Status at the Sepuluh Nopember Institute of Technology (ITS) through the written test of science and technology, using Bernoulli Mixture Model in order to evaluate the new student acceptance status. BMM distribution was established based on the comparisonbetween the students’ scores of the basic abilities, namelyMathematics, Physics, Chemistry, and Biology which correspondedto the majors they had chosen, combined with the Student Acceptance Status (0 and 1). This combination generated two components of Mixture, namely right or wrong. The characteristics of each component were then identified through BMM by involving the covariates of Student Acceptance Status, namely the basic ability test and the scholastic test. The combination of Markov Chain Monte Carlo with the Gibbs Sampling algorithm was employed to estimate the parameters used in this research. This method was applied to the data of prospective students who registered in ITS through written test of science and technology. This research result showed the estimated parameters and the formed model of BMM.
Forecasting competition for sales of local and national bottled drinking water in madura using fuzzy sugeno method
Authors: Yulianto T , Fatmawati  , Windarto  , Halim A , Faisol  , Suprianto  , Dharmawan A K
Published: June 2020

Bottled Drinking Water (AMDK) is processed water, without other food ingredients and food additives, packaged, and safe to drink. AMDK itself which is widely known in the community is national product AMDK. However, local products have emerged to try to compete with national product AMDK. As for local product AMDK which is produced mainly in Madura, the average product is made from Islamic boarding schools. From the level of competition, the idea is emerged for forecasting primarily in the field of sales using the fuzzy Sugeno method. The results obtained from fuzzy Sugeno are turned out to produce a MAPE that the value for local AMDK is 6.4795 and a national AMDK is 2.5353, so that the conclusion about national production is closer to the real value than local AMDK. This study contributes that the predictive value of sales competition is quite accurate based on the MAPE value is below 10. This study provides recommendations to local sellers to make improvements in factors in order to be better than national sellers.
The development of student worksheets: questions of PISA model to analyze the ability of mathematical literacy in junior high school
Authors: Sutama  , Narimo S , Anif S , Prayitno H J , Sari D P , Adnan M
Published: June 2020

Mathematical literacy was urgent to promote the industrial revolution 4.0. There are two purposes of this study. 1) Describing how to develop questions of PISA model in content of uncertainty and data that were valid and feasible. 2) Examining the potential effect of students in complete the questions of PISA model. It was research and development with ADDIE type, which consisted of analysis, design, development, implementation, and evaluation. The research was conducted in SMP Negeri 1 Karanganyar on 2018/2019 academic year. Technique of data collection used: walkthrough, assessment, and task-based interview. Based on findings, this research had produced the questions of PISA model that were valid and feasible in content of uncertainty and data. Valid drawn from the result of validators judgement which states that the questions had developed were good in content, construct, and language. It demonstrated that 26 of 32 students were able to solve the questions of PISA model with the details i.e.: 26 students had achieved level 1 (81.25%), 20 students had achieved level 2 (62.50%), 16 students had achieved level 3 (50.00%), 12 students had achieved level 4 (37.50%), 8 students had achieved level 5 (25.00%), and 4 students had achieved level 6 (12.50%).
The sustainability concept of Riau cultures through development of mathematics learning devices based on Riau folklore at elementary schools
Authors: Rezeki S , Andrian D , Wahyuni A , Nurkholisah H
Published: June 2020

This research aimed to develop valid and practical mathematical learning devices. Learning devices were developed with the Realistic Mathematics Education approach (RME) based on Malay folklore of Riau. The method in this research was Research and Development (R & D) using Plomp modification with five phases namely: (1) initial investigation, (2) design, (3) realization or construction, (4) Tests, evaluations and revisions, (5) implementation. Samples in this research were Elementary School Benteng District of Riau Province. Learning tools developed in the form of Planning Learning Implementation Planning (LIP) and Students Activities sheets (SAS). The instruments used were LIP validation sheets, SAS validation sheets, LIP practicality questionnaires (teacher and student responses), SAS practicality questionnaires (teacher and student responses) and questionnaires to assess the implementation of learning. The results of LIP validation acquired value about 83.04% with fairly valid criteria, the practicality analysis result of LIP about 85.29% with very practical criteria, SAS validation result about 83.77% with fairly valid criteria, and SAS practicality analysis result about 84.55% with quite practical criteria. Based on the results of the research it can be concluded that learning devices developed based on Riau Malay folklore have been valid and practical.
The effect of emotional intelligence, learning discipline and peer interaction on mathematics learning outcomes of state junior high school students in Samarinda
Authors: Azainil  , Amalia K R , Sugeng  , Dimpudus A , Ramadiani
Published: June 2020

This study aimed to determine the effect of emotional intelligence, learning discipline, and the peer interaction on mathematics learning outcomes of State Junior High School (SMP) Students in Samarinda City. This research is a quantitative study using the ex post facto method. The population in this study were all eighth-grade students of SMP in the Samarinda who implemented the 2013 curriculum totaling 899 students. The sample was determined using cluster random sampling techniques and a sample of 279 students was obtained. The instruments used in this study were questionnaires and tests. The results of data analysis using multiple linear regression analysis and obtained a significance value of 0,000 with α = 0.05, there is an influence between emotional intelligence, learning discipline and the peer interaction on mathematics learning outcomes. For the learning discipline variable, the significance value of 0.020 is obtained with α = 0.05, so there is the effect of the discipline of learning on mathematics learning outcomes. For peer interaction variables obtained significance value of 0.002 with α = 0.05 then there is the influence of peer interaction on mathematics learning outcomes. The conclusion of this study shows that emotional intelligence, learning discipline, and peer interaction significantly influence mathematics learning outcomes of SMP in Samarinda city.
Student’s problem solving abilities in Project Based Learning (PjBL) based on Learning Community (LC)
Authors: Faozi A K A , Hobri  , Fatekurohman M , Aini K , Yuniar D
Published: June 2020

This research intended to develop the mathematics learning device with Project Based Learning which based on Learning Community and presents the effects of developing problem solving on project-based learning by providing different cases secondary level students (SMK) (n = 84). The purpose of this article is to understand clearly and deeply how the learning methodology can influence the process and learning outcomes. Project based learning by solving different problems is possible to develop creative ideas while increasing highly developed skills. The fact shows that their average of problem solving skill is still relatively low. Therefore, in this study, we will apply project-based learning to improve their problem solving. This type of research is a mixed method, which combines quantitative and qualitative research. The quantitative method is used to analyze student learning outcomes, while the qualitative method is used to analyze students’ mathematical problem solving. The Respondents in this study consist of three classes, namely two experimental class of 56 students and a control class of 28 students. The research shows that pre-test result of both classes indicates that the three classes are homogeneous. While the post-test result shows that the average of the three classes is significantly different. The inferential statistic result of independent sample t-test of students learning outcomes post-test shows that the sig (2-tailed) is 0.00 (p ≤ 0,05), thus it is significant. Furthermore, Due to the significance value is less than 0.05, it means that H0 is rejected; H1 is received. Therefore, the learning outcomes of students’ problem solving abilities in the experimental class are better than the control class.
Profile of students’ creative and innovative thinking in solving open-ended mathematics problems about the coffee plantation
Authors: Albab A U , Wangguway Y
Published: June 2020

Creative and innovative thinking skills become an important thing for students to solve a problem. This research aims to describe the students’ ability of creative and innovative thinking for solving open-ended problems about coffee plantations. The type of this research is qualitative descriptive. This research was conducted on the students of class VIII B Junior high school 1 Jember. The instruments used were creative and innovative thinking test in the form of open-ended problems and interview guidelines. The data collection methods used in this research were test methods and interviews. After all students of class VIII B had been given the test, then research subjects were selected using snowball sampling technique to get saturated data. Based on the data analysis, the profile of class VIII B students’ creative and innovative thinking skills with 36 students is: 44% fulfilling 4 indicators, 19% fulfilling 3 indicators, 0% fulfilling 2 indicators, 6% fulfilling 1 indicator, 31% fulfilling 0 indicators. It shows that generally, students have quite good creative and innovative thinking skills. Students can use several ways to solve problems. Students are able to find unique ideas to solve problems. Students expand, select, analyze and evaluate the basic idea of problem solving. Students use the creative idea on the innovation of problem-solving.