bluuebunny/crossref_metadata_2025_split huggingface dataset:
Auxiliary information based maximum generally weighted moving average (AIB-MaxGWMA) control chart
Authors: Aziza I F , Mashuri M , Irhamah  
Published: June 2020

Abstract
Product quality has a relationship with customer satisfaction. Therefore, the company always strives to maintain the product quality. The effort can be made by the company to maintain product quality is monitoring the production process. One of the tools used to monitor the production process is the control chart. In process monitoring, there are two parameters are observed in the process that are mean and variance. The univariate process monitoring is only carried out on a study variable and only using the information on the corresponding variable. However, in this study, need to monitor process mean and variance simultaneously on a study variable that requires information on study variable and information on auxiliary variable using Auxiliary Information Based Maximum Generally Weighted Moving Average (AIB-MaxGWMA). Besides that, in this study, compare AIB-MaxGWMA with the MaxGWMA control chart to know the effect of adding an auxiliary variable in process monitoring. The performance of these control chartss is evaluated using out of control Average Run Length (OC ARL), where OC ARL is the average number of samples needed to detect a particular shift. The result of this study is AIB-MaxGWMA control chart has a smaller OC ARL than the MaxGWMA control chart which showed that the AIB-MaxGWMA control chart is more sensitive or faster than MaxGWMA control chart to detect a shift. In further study, we recommended to enhance the performance of the AIB-MaxGWMA control chart by extending the current work to the Auxiliary Information Based Maximum Multivariate Generally Weighted Moving Average (AIB-Max MGWMA) control chart, so it is possible to monitor the mean and variance process simultaneously in multivariate case (at least two quality characteristics).
Modelling Return on Assets (ROA) using nonparametric regression spline truncated for longitudinal data
Authors: Ramli Mustain , Ratnasari Vita , Nyoman Budiantara I 
Published: June 2020

Abstract
Nonparametric regression is one of the statistical methods used to see the relationship between response variables and predictor variables with unknown curves. The method often used in estimating the curve of nonparametric regression is the spline method. Spline is one of the nonparametric regression approaches that have very specific and very good statistical and visual interpretations. Spline truncated nonparametric regression is not only used to modelling data with cross-section type but can be used to modelling longitudinal data. Longitudinal data is data whose observations are repeated on each subject within a certain time. In this research, the modelling of Return On Assets (ROA) will be based on the factors that influence it with using 30 subjects of go public banks listed on the Indonesia stock exchange during 2012-2018 using nonparametric regression spline truncated for longitudinal data, with the weighting matrix using the variance-covariance matrix of errors. Based on the analysis data that has been done by using the weighting matrix of the error variance-covariance matrix and one-knot point with 14 Increments, the best model is obtained, namely using the weighting matrix based of the error variance-covariance matrix one-knot point with the smallest GCV value of 15.12 with MSE value of 0.739 and R
2 value of 85.56%.
Analysis of mathematical critical thinking ability in student learning style
Authors: Purwanto W. R. , Waluya S. B. , Rochmad  , Wardono  
Published: June 2020

Abstract
This article aims to analyze mathematical critical thinking skills on student learning styles. Mathematical critical thinking skills can be developed through the character of the learning styles possessed by each student in learning mathematics. Learning can be maximized by knowing the learning styles of students and continued with the learning process by means of one way communication but must go through a process of interaction that is two way communication. This research was carried out at SMP Negeri 3 Jekulo in the odd semester 2019/2020 school year using the comparative-associative explanative research method. From the research results obtained that: 1) There are differences in learning outcomes in terms of mathematics learning styles of students. 2) There are differences in mathematics learning outcomes in terms of students’ mathematical critical thinking skills. 3) student learning styles do not affect students’ mathematical critical thinking abilities From the results of these studies indicate that every student, both those who have auditory, visual, or kinesthetic learning styles have different mathematical critical thinking abilities.
Studies of Bacillus subtilis NAP1 to degrade BOD, COD, TSS, and pH: The indigenous bacteria in Indonesia batik wastewater
Authors: Fidiastuti H. R. , Lathifah A. S. , Amin M. , Utomo Y. 
Published: June 2020

Abstract
Batik is an industry that is quite popular in Indonesia. Batik has been declared as one of Indonesia’s cultural heritage and is recognized by UNESCO. Batik production is recorded to always increase every year. Unfortunately, the batik industry in Indonesia is dominated by many small industries with limited fund management. This makes the environmental aspects and waste disposal neglected. Through this research, study and isolation were carried out to explore the potential of indigenous bacterial isolates that can biodegrade dyes in batik along with other physical parameters of waste. A sample that contained wastewater and sediment from batik industry are collected and cultured in 1000 ml Busnall Hass medium which olive oil-enriched and put at the shaker condition at 150 rpm until 6 days at 30°C. Identification of the isolates examined for their morphological, physiological and biochemistry test. Bacillus subtilis is one of the indigenous isolates from this research. This study aimed to determine the ability of B. subtilis to reduce BOD, COD, TSS, and pH in batik waste and present the results of the DNA analysis of B. subtilis. Based on the research that has been done, it can be concluded that the molecular identification of bacteria through analysis of the 16S rDNA gene fragment sequence, the bacteria that play a role in the degradation of dyes is Bacillus subtilis strain NAP1 with an average similarity level of 93%. B. subtilis NAP1. B. subtilis NAP1 isolate offers the potential for future bioremediation of batik wastewater.
Scientific reconstruction of local plants as the basic materials of Batik Natural Dyes
Authors: Tresnawati N , Saleh I , Sudarmin  , Wardani S 
Published: June 2020

Abstract
The Ciwaringin batik has different features compared to other Cirebon Batik Tulis. It has a unique motif and soft batik color produced from natural dyes. This research aims to reconstruct the knowledge of the community in using local plants as basic material of natural dyes at Ciwaringin, Cirebon, becomes a scientific knowledge. This research was qualitative descriptive research. Data were collected through observation, in-depth interviews, discussion with batik artisans, documentation, and literature study. Data were analyzed by using verification, reconstruction, formulation, conceptualization, and documentation, to obtain scientific knowledge. The subject of this research is the batik artisans of Ciwaringin batik. The result showed that Indigenous knowledge to utilize the local plant as a natural dye of batik by Ciwaringin community is unique local wisdom to maintain environmental balance. Their scientific concepts that have been identified and documented systematically are scientific knowledge that has not been yet formalized. The cause and effect relationship was known through a verification process and then were reconstructed and conceptualized into formal scientific knowledge. The scientific knowledge can be used as a source of culture-based science learning in schools called ethnoscience. The implications of this research are environmental conservation and the increasing value of local wisdom.
Characterization of morphological changes on modified sugarcane bagasse with potassium hydroxide
Authors: Sunarsih S , Andaka G , Wahyuningtyas D 
Published: June 2020

Abstract
In-depth research is needed to determine the characteristics of sugarcane bagasse as biosorbent. The aims of present work to determine the morphological changes of modified sugarcane bagasse. Modified sugarcane bagasse (MSB) is made by soaking it in a KOH 0.1 N solution overnight, filtered and rinsed with distilled water and neutralized with CH3COOH 1%. After drying and sieving with a size of 60 mesh, MSB is interacted with Fe solution. The change in MSB morphology was analyzed by comparing IR spectra and SEM images of sugarcane bagasse SB, MSB and MSB samples that have adsorbed Fe. The SEM image and IR spectra of products showed that the addition of KOH and adsorption of Fe on MSB did not cause damage to cellulose and hemicellulose structures. Significant changes in absorption bands occur at 1,725 cm−1 wave number which shows changes in the carboxylic group and is thought to bind Fe. Other changes occurred at wave number 1,247 cm−1, 1,604 cm−1, 1,515 cm−1 and 1,458 cm−1 which are typical for lignin. The SEM image also supports the partial dissolution of lignin.
Introduction of the Surrounding Environment to Stimulate Naturalist Intelligence of Early Childhood
Authors: Utami Winda Sherly , Rohman Arif , Islamiyah Roudlotul 
Published: June 2020

Abstract
The purpose of this study is to stimulate the naturalist intelligence of early childhood through the introduction of the surrounding environment. The sample in this study was 10 children aged 5-6 years in group B in a kindergarten in Padang. This research uses a quantitative approach with a pre-experimental type and the design used is one group pretest-posttest. Data collection was obtained from observation and documentation, then the data was processed using paired sample t-test analysis techniques. The results showed that the introduction of the surrounding environment can stimulate the naturalist intelligence of children aged 5-6 years. This is known from the results of the paired sample t-test obtained, where the significance value of 0.025 is smaller than the error level of 0.05 (0.025 <0.05). Based on these results it can be stated that Ho is rejected and Ha is accepted which means the child’s naturalist intelligence increases with the introduction of the surrounding environment.
Creative thinking profile of junior high school students on learning science
Authors: Trisnayanti Y , Ashadi  , Sunarno Widha , Masykuri M. 
Published: June 2020

Abstract
Creative thinking is one of thinking skills such as facilitating individuals to learn to realize their imagination, providing opportunities to think, express their ideas, and get new information. Middle school students must be trained in the ability to think from the beginning of learning science. Creative thinking is needed through new ideas. The purpose of this study is to identify the ability to think creatively through Torrance indicators consisting of fluency, flexibility, originality and elaboration. This type of research is a quasi-experimental with one group pretest-posttest. Data collection methods use questions and questionnaires for creative thinking skills. Data analysis techniques using quantitative descriptive. Results Show that creative thinking on the Fluency profile indicator (X1) is 75%, Flexibility (X2) is 70%, Originality (X3) is 60%, Elaboration (X4) is 62%. The percentage of originality indicators (X3) has the lowest score compared to other creative thinking indicators. The culture of learning, especially science, still relies on how to understand concepts, principles, and theories and has not become a means to empower students’ creative thinking skills. Therefore for further research needed a creative problem solving model that can empower creative thinking skills. One of them is the creative problem solving (CPS) model.
Determination of robust weights hidden layers on backpropagation algorithm to analyze coefficient drag high-speed train
Authors: Adityo Suksmono , Hendrato  , Sucipto  , Irfan Ansori 
Published: June 2020

Abstract
In this research, we developed a method using backpropagation to analyze the coefficient drag of high-speed trains. Analyzing coefficient drag using a backpropagation algorithm has more benefits, especially in cost and time, than using computational fluid dynamics. Computational fluid dynamics need sophisticated software and hardware. It needs much time to get a convergent result as well. We used 2D coordinates longitudinal profile nose of the high-speed train as an input of the backpropagation algorithm. The weights between hidden layers and input layers and between hidden layers and output layers, respectively, were modeled as matrices that were formed from the iteration process. The coefficient drag differences, between backpropagation algorithm and computational fluid dynamics analysis, from each iteration, were used as a correction factor to form robust weights hidden layers matrices. The results of this research showed that training in the backpropagation algorithm can obtain robust weights of hidden layers that have been known from Mean Sum Square Error in an exercise that is small enough. Because of the limited time to finish this research, we only trained and exercised nine models instead of a thousand models. Robustness weights that are resulted in this research are expected to contribute to accelerating a coefficient drag prediction of high-speed train accurately. To improve this proposed method, 3D coordinates of the nose’s surface of high-speed trains and many more 3D models are needed.
The exploration of mechanistic reasoning ability for high school students in static fluids
Authors: Nooritasari D D , Kusairi S , Wisodo H 
Published: June 2020

Abstract
The study aims to explore the mechanistic reasoning abilities of high school students in a static fluid material. This research was survey research using mixed-method. The subjects were 95 students of High School in the city of Batu and Malang. The instrument consisted of 5 question descriptions that were valid and reliable. The results showed the student’s mechanistic reasoning abilities were still in the moderate category. It was found that students had difficulty in analyzing mechanically to connecting physical phenomena with static fluid concepts. Most students mistakenly interpret the principle of hydrostatic pressure and Archimedes’ law. Research provides practical benefits on the concept of static fluid, especially regarding the mechanistic reasoning of students’ static fluid. The same mistake in each student can indicate a misconception that is difficult to remove. More effort is needed to master the concepts deeply to have good mechanistic reasoning abilities.
A quantitative approach to investigate downpour condition of distillation column using gamma beam radiation
Authors: Ningsih F R , Gama W N , Wibisono  
Published: June 2020

Abstract
The area underneath the downcomer, part of distillation column is called the downpour area. If a tray deck troubleshoot like corrodes, it often first holes through in the downpour area. This will cause flooding due to the downcomer back up. An investigation of the crude distillation column was performed using an integrated system of photomultiplier detector and collimated gamma beam radiation. Gamma beam penetrated the object material as a transmitter of the radiation signal and will be accepted by the detector as its receiver. The main construction of this distillation column consists of 33 trays where each tray has two downpours and an accumulator. Distillation can be used to separate multi-component mixtures of crude oil. Many variables such as column pressure, temperature, size, and diameter are determined by the properties of the feed and the desired products. The measurement utilizes 75 mCi gamma activity and panoramic collimation design of the photomultiplier detector. This two equipment are aligned oppositely, and set on different four orientations scans, in order to obtain the condition of downpour system at each tray. Resolution scan of 5 cm each step from the bottom level to 34 m height. The duration time to measure radiation intensity is 3 seconds for each step. The quantitative result indicates abnormal flooding on the bottom segment tray #1 to #4. Abnormal condition is also identified as collapse tray, at tray #6. The quantitative approach has successfully determined the downpour condition in the distillation column.
The efficiency and effectiveness of fins made from two different materials in unsteady-state
Authors: Purwadi Petrus Kanisius , Seen Michael 
Published: June 2020

Abstract
This paper describes the calculation of the temperature distribution on the fins, the rate of heat flow released by the fins, the efficiency and effectiveness of the straight fins in the unsteady-state. Calculations are performed using numerical computational methods. The cross section of the fins has a capsule-shape. Fins are made of two different metal materials. The heat-transfer that occurs in fins only occurs in one dimension, namely in the x direction, or perpendicular to the base of the fin. The method used is an explicit finite different method. This paper also explains the influence of fin material on the value of temperature distribution, heat flow rate, fin efficiency and effectiveness. Temperature distribution, heat flow rate, efficiency and efficiency of fins on fins that have two materials with different materials, have different values. This difference is due to material properties of fins such as: material density, specific heat and thermal conductivity. Research can be continued for various fins and cross sections, which are composed of several different materials, according to the needs of the era. Research can also be developed by using boundary conditions which have a fin base temperature that changes with time or receives heat flux.
Analyzes the effect of temperature on characteristics of crude oil permittivity sensor based on Interdigital Capacitors (IDCs)
Authors: Rachmanita R E , Rudiyanto B , Ahmadi H , Seetawan T 
Published: June 2020

Abstract
This study aims to analyze the effect of temperature on characteristics of crude oil permittivity sensor based on interdigital capacitors (IDCs), including linearity, repeatability and hysteresis. IDCs have been fabricated using the DC Magnetron Sputtering method in three designs with different electrode materials and the same electrode configuration. The electrode materials used silver (Ag), copper (Cu) and molybdenum (Mo) deposited on a FR-4 PCB substrate with a thickness of 1μm. The electrode configuration each design is 15 mm electrode length, 0.5 mm electrode width, 0.5 mm electrode distance and 40 electrodes number. The crude oil was tested at a temperature range of 30 - 70°C. The measurement system uses a PM6303A automatic RCL Meter at a frequency of 1 kHz. The sensor linearity test results showed an increase in the sensitivity value of the IDCs Ag, Mo and Cu sensors when the temperature was more than 50°C. The repeatability sensor test results showed that IDCs made from Ag had the highest measurement precision with a value of %repeatability is 2.5%. The hysteresis test results showed that the design IDCs made from Ag have high stability at high and low temperatures.
Development of Liquefied Petroleum Gas (LPG) leakage detection wheeled robot on horizontal pipes based on Arduino Uno
Authors: Budianto A , Muhtadan  , Dipta I M Y , Iman A N 
Published: June 2020

Abstract
LPG utilization need more attention to safety aspects of human, environmental and equipment. This research aims to develop a wheeled robot which is capable of detecting LPG leaks in horizontal pipes by data acquisition via wireless internet, so that it is useful to facilitate human work in determining LPG leak points on horizontal pipes. The controller of this robot is Arduino UNO and equipped with sensors. The sensor measurement data is acquisitioned using the Node MCU module to the Blynk application as an interface application. This robot has an emergency stop feature on the Blynk application. The final results of this research are LPG leak detection robots on horizontal pipes which can provide information on leak points based on gas sensor measurement data and rotary encoder installed on robots with acquisition via wireless internet and data storage on MicroSD. The robot is equipped with buzzer indicator that will sound when a leak is indicated with a gas concentration of more than 30% on one of the gas sensors. Based on the results of final test of the robot, the average value of the leakage point distance obtained is +8.7 cm.
Engineering model development using Fuzzy Logic for wireless protective devices
Authors: Afandi A.N. , Kurniawan A.C. , Aji P.W. , Irham F. , Sendari S. 
Published: June 2020

Abstract
Operationally, the distribution of electricity faces various technical limitations and environmental conditions during operations, on the other hand, it also bears the increasing need for electrical energy. Therefore, the system is required to provide high service by considering various disturbances that occur. Thus, an electric power system requires a protection system that is reliable and sensitive to various types of disturbances, and it has a fast response. In this work, the study is aimed to develop conventional protection devices by implementing intelligent systems based on fuzzy logic. The use of fuzzy is intended to support decision making by considering the voltage, current and temperature of the cable. The results show that the device developed can react quickly and cut off electricity. In addition, it can also respond to the types of interruptions that exist. Moreover, it also avoids damage devices installed on the network.
Analysis of mathematical problem solving based on stages Newman in equality and inequality one variable
Authors: Swari C D V S , Mardiyana  , Indriati D 
Published: June 2020

Abstract
Problem-solving is one of the purposes of learning mathematics. According to Newman, problem-solving consists of five stages, (1) reading, (2) comprehension, (3) transformation, (4) process skill and (5) encoding. The purpose of this study is to analyse students’ problem-solving abilities based on Newman’s steps for the topic of linear equality and inequality in one variable. The type of this research is qualitative descriptive. The subjects of this study were 8 students from 8th grade at SMP Negeri 2 Kebakkramat, which was taken by purposive sampling. The data was collected by test and interview. The results of this study are (1) the stage of reading, there were 16.67% students who could not write a complete mathematical sentence (2) the stage of understanding, there were 4,17% students could not write the question of the problem, (3) the stage of transforming, there were 75% students who still cannot inform the steps of the plan of completion that will be used in writing, (4) the stage of process skills, 33.33% students who made mistakes in understanding the concept and changing mathematical sentences, (5) the stage of encoding, 8.33% students who did not write the conclusion.