bluuebunny/crossref_metadata_2025 huggingface dataset:
TPACK Mastery of Biology Teachers: A Study Based on Teacher Gender
Authors: Astuti F. E. C. , Paidi  , Subali B. , Hapsari N. , Pradana S. P. , Antony M. K.
Published: December 2019

TPACK is knowledge that needs to be mastered by teachers to be able to integrate technology in the learning process. The success of integrating ICT can be influenced by teacher gender. Differences in character between male and female teachers can influence teacher’s steps and ways to teach to integrate technology in learning. This study aimed to know TPACK mastery of biology teacher and how it differs between male and female biology teachers. This study involved 29 biology teacher respondents who were taken using the convenience sampling of the hypothetical population. Data collection is conducted using a test instrument consisting of 40 items. Instruments meet the logical validity test based on expert judgment. The empirical validity showed infit MNSQ 1.00 invitations and standard deviation of 0.16 which means all items were valid. Test instrument reliability results of 0.57 means that test was good enough to provide consistent measurement results. The data were analysed descriptively and inferentially through the independent sample t-test. The results of this study showed teacher TPACK mastery was good with a score of 59.15 but TK domain with score of 46.67 and TPACK domain with score of 45.83 were still fair. TPACK mastery of biology teacher was not differentiated by teacher gender with p>0.05.
Developing a Learning Continuum of the Pedagogic Materials of Genetics Aspects from Elementary School to Senior High School Level Based on the Opinions of Biology Education Experts
Authors: Orizasativa L. , Subali B. , Paidi
Published: December 2019

Learning continuum is a set of competencies mutually related from one concept to the others. The competencies are ordered from the easy ones to the difficult and specific ones at all levels sustainably from the elementary to the secondary level. This study aims to reveal the opinions of biology education experts on the learning continuum of genetics materials viewed from the competency level and material characteristics and also to reveal the learning continuum of the specific pedagogic materials of the genetics aspects according to experts. The expert respondents were selected by considering their educational background, namely their expertise in the field of biology education, with regard to their bachelor, masters, and doctoral programs. This study is a survey with a sample of 85 biology education experts, established using the convenience technique, i.e. those who are easy to find. The result of this study shows that 25% of the respondents agree that genetics is taught to grade 9 students at the cognitive level of C2 (comprehension), on the sub-aspect of character inheritance, while 75% have the opinion that genetics is taught to grade 12 students at the cognitive level of C2 (comprehension). However, 100% of the participants of the Forum Grup Discussion have the opinion that genetics is taught to grade 12 students at the cognitive levels of C2 and C3. Therefore, it can be concluded that the genetics aspect is taught to grade 9 students of junior high school and it is taught again to high school students for the different cognitive level and the learning materials are different and more complex
The TPACK Profile of Biology Teacher Based on Certification Status: A Case Study in Bantul Regency
Authors: Hapsari N. , Paidi  , Subali B. , Astuti F. E. C. , Pradana S. P. , Antony M. K.
Published: December 2019

This study aims to find out the differences TPACK profile of biology teacher based on certification status. TPACK is a framework that must be possessed by teachers in utilizing technology to deliver the subject matter to students. The sample used in this study was 38 biology teachers in Bantul. The selection of samples in this study used a convenience sampling technique. This study used observation techniques in data collection. The data was then analyzed descriptively and inferentially. The results of the study showed that the PCK and TCK profile is no different between certified biology teachers and un-certified biology teachers, certification status has more influence on the mastery of TPK and TPACK.
Fuzzy Multi Attribute Decision Making (FMADM) Implementation for Classifying Student’s Single Tuition Fee (UKT) Based on Android Applications
Authors: Sugiyarto A W , Pamungkas R , Rasjava A R , Abadi A M
Published: December 2019

Universitas Negeri Yogyakarta is one of the state universities in Indonesia that assigned Student’s Single Tuition Fee (UKT) policy. UKT is an Indonesian government policy of tuition fees charged to every student with nominal based on the student’s financial capabilities. Although the implementation of UKT nominal has been arranged in such ways, there are problems occurred, such as inconsistency and inaccuracy of UKT nominal classification. This causes so many dissatisfactions between students to the UKT nominal that did not meet the expectations and raises questions about the transparency of the determination of student’s UKT nominal. Therefore, the application of Fuzzy Multi Attribute Decision Making (FMADM) can improve the accuracy and the effectivity of the determination of student’s UKT nominal also answering the student’s questions and giving clarifications about student’s UKT nominal. The result of this research was an Android-based application that can be used for determining student’s UKT nominal and determining what group that nominal belongs to with ease for under 5 minutes fast. With this android application, determining and calculating student’s UKT nominal will be much faster and more accurate when groupping the UKT nominal than the conventional method used before.
Multivariate Adaptive Generalized Poisson Regression Spline (MAGPRS) on the number of acute respiratory infection infants
Authors: Otok B W , Hidayati S , Purhadi
Published: December 2019

Acute Respiratory Infection (ARI) is an infectious disease of the respiratory tract that affects the structure of the respiratory tract. The ARI is a health problem that should not be ignored because it causes high infant mortality. Therefore, it is important to know the factors that influence the ARI. Generalized Poisson Regression (GPR) is one of method that can handle cases of overdispersion (variance is greater than the mean) or underdispersion (variance is less than the mean). Multivariate Adaptive Regression Spline as a statistical method for fitting the relationship between a set of input variables and dependent variables. This research is the development of the MARS method and GPR namely MAGPRS. The application of the MAGPRS model was carried out in the case of the number of ARI in infants from surabaya health departement 2017. The results showed that the importance of predictor variables in MAGPRS, the variables affecting the number of ARI patients in infants are the percentage of low birth weight (X2), the percentage of unhealthy houses (X5), and the percentage given non-exclusive breastfeeding to infants (X1).
The Infinitely Divisible Characteristic Function of Compound Poisson Distribution as the Sum of Variational Cauchy Distribution
Authors: Devianto D , Sarah  , Yozza H , Yanuar F , Maiyastri
Published: December 2019

The new particular compound Poisson distribution is introduced as the sum of independent and identically random variables of variational Cauchy distribution with the number of random variables has Poisson distribution. This compound Poisson distribution is characterized by using characteristic function that is obtained by using Fourier-Stieltjes transform. The infinite divisibility of this characteristic function is constructed by introducing the specific function that satisfied the criteria of characteristic function. This characteristic function is employing the properties of continuity and quadratic form in term of real and nonnegative function such that its convolution has the characteristic function of compound Poisson distribution as the sum of variational Cauchy distribution.
Estimation of covariance matrix using multi-response local polynomial estimator for designing children growth charts: A theoretically discussion
Authors: Chamidah N , Lestari B
Published: December 2019

In statistical analysis for instance regression analysis we always be faced a estimation problem of regression function which draws relationship between variables in the regression model. In the real cases we frequently meet the relationship between one or more response variables and one or more predictor variables where there are correlations between responses that is called a multi-response regression model. There are two approaches to estimate the multi-response regression model, i.e., parametric and nonparametric. One of estimators in nonparametric regression model is local polynomial estimator for estimating the regression function. Since there are correlations between responses then in the estimating of regression function we need a weight matrix that is to be inverse of covariance matrix of error. Therefore, the main objective of this research is to estimate of covariance matrix of error by using multi-response local polinomial estimator. The result of this research is a covariance matrix estimator that is in the future can be used to design children growth charts.
A comparison of extreme gradient boosting, SARIMA, exponential smoothing, and neural network models for forecasting rainfall data
Authors: Agata R , Jaya I G N M
Published: December 2019

Extreme gradient boosting, is a combination of gradient descent and boosting that can be used to build an optimal model for time series data. This method was used to forecast the rainfall data in city of Bandung for period 2018-2019 and compared to Seasonal Autoregressive Integrated Moving Average (SARIMA) exponential smoothing, and artificial neural network which were used as benchmarks. Data used in this study were monthly rainfall from 2000 through 2017. The extreme gradient boosting had the lowest mean absolute deviance, root mean squared error deviance, and mean absolute percentage error. This indicates the extreme gradient boosting model performed better than the SARIMA, exponential smoothing, and neural network. Based on the extreme gradient boosting model, it is concluded that the highest rainfall will occur between September 2018 and May as a rainy season in Bandung, and the lowest rainfall will occur between June and August as a dry season.
Probabilistic multi-objective optimization approach to solve production planning and raw material supplier selection problem under probabilistic demand value
Authors: Sutrisno  , Wicaksono P. A. , Solikhin
Published: December 2019

This article is addressed to study the development of a probabilistic multi-objective optimization model that can be used to optimize the production planning and raw material procurement in a manufacturing industry where the demand value is unknown. First, the unknown demand value is assumed to be a random variable with some known probability distribution. Then, we formulate the multi-objective optimization model with two objective functions which are the total procurement cost that is minimized and the total production number that is maximized. Some related constraints that should be satisfied are also be formulated. We solve this multi-objective optimization problem by finding the Pareto solution. The calculation is performed in LINGO 18.0. To simulate and observe how the optimal decision is made, a computational simulation using generated data was performed. From the results, the optimal decision is obtained (the number of the raw material that should be purchased from each supplier and the number of the product that should be produced).
Evaluation of geographically weighted multivariate negative Binomial method using multivariate spatial infant mortality data
Authors: Dewi Y S , Purhadi  , Sutikno  , Purnami S W
Published: December 2019

Global regression assumes that the relationships being measured are stationary over space or the model is applied equally over the whole region. If there is spatial heterogeneity on the data, then the global model is not suitable to the reality. To overcome multivariate spatial over dispersed negative binomial data, we evaluate geographically weighted multivariate negative binomial (local method) and compare it to the global method (multivariate negative binomial). The results show that the geographically weighted negative binomial performs better than the global method. The log likelihood of the local method is higher than the global method. The deviance and mean square prediction error of the local method are smaller than the global method. Moreover, the prediction of dependent variables of the local method are closer to the observed data than the global method. The estimated coefficients of the local method vary, depending on where the data are observed.
The Profile of Junior High School Students’ Mathematical Creative Thinking Skills in Solving Problem through Contextual Teaching
Authors: Sa’dijah Cholis , Fitri Handayani Ucik , Sisworo  , Sudirman  , Susiswo  , Tejo Dwi Cahyowati Ety , Sa’diyah Mukhtamilatus
Published: December 2019

The purpose of this study was to describe the profile of students’ mathematical creative thinking skills in solving problems through contextual learning based on high, medium, or low initial abilities. The method used in this study is descriptive qualitative. There were 6 research subjects of junior high school students in the border area of Malang and Blitar Regencies. Data collection was done by observation, tests, and interviews. The results of this study are (1) High-ability students can fulfill three indicators; those are fluency, flexibility, and novelty according to the material, so that they are in the very creative category. There are high ability students who fulfill two indicators; those are fluency and flexibility well based on the material, so that they are in the creative category. (2) Middle-ability students can fulfill an indicator namely flexibility according to the material, so that they are in the category of quite creative. (3) Low ability students can fulfill two indicators, namely fluency and flexibility well based on the material, so that they are in the creative category. (4) The profile of students’ mathematical creative thinking skill in solving problems through contextual learning based on early mathematical abilities was different. The profile of students’ creative thinking skills is expected to be a teacher’s reference to determine appropriate assignments and assessments to be given to students.
The Lost Process of Mathematical Literacy on Excellent Students at MAN 2 Kudus
Authors: Choirun Nisa Lulu , Inayah Ainal
Published: December 2019

Data showed that Indonesian mathematical literacy from 2006 to 2015 was always below the PISA average score. Previous research showed that student on Regular Science Program in MAN 2 Kudus has a better level of mathematical literacy than students on Excellent Science Program. This is a case study on Excellent Science Program MAN 2 Kudus as the subject of the research, 27 students. Data was taken with adjusted PISA tests and interviews then analyzed by Miles and Huberman method. The results showed that 36% of students at the Regular Science Program and 41% of students at the Excellent Science Program had literacy level below level 1. An in-depth study of the mathematical literacy process in the Excellent Science Program shows that 11% of students did not understand the problem. Of the 89% of students who understand the problem, 42% of them cannot translate the context into mathematical form, 29% of students only reach the Formulate process, 4% of students reach the Employ and Interpret process, and 21% of students reach the Evaluate process. Thus, to improve mathematical literacy, understanding contextual problems and improving skills in formulating problems into mathematical languages or models must be strengthened.
Exploration of teachers’ “knowledge of students” in study-based teaching on polyhedron material
Authors: Ma’rufi  , Ilyas M , Pasandaran R F , Salwah
Published: December 2019

Teachers’ knowledge in “knowing” student problems is an important factor to support the improvement of the Mathematics learning process in the classroom. Therefore, this research aims to explore the teacher’s strategies to overcome students’ errors/misconceptions in the material of polyhedron. This is an explorative study and carried out with a qualitative approach so that it contains a set of credible facts that were revealed in depth. Some instrument that used are; field notes, observation sheets for teacher activities, student activities, and learning transcripts A phase lesson study scheme was also applied to create coherent learning scenarios. This combination resulted in findings that had an impact on improving teacher skills in dealing with the errors made by students in terms of concept, procedure, and initial knowledge systematically. The findings of this study were; the teacher can describe the types of knowledge about students’ errors/miskonceptions, and then developed strategies to deal with errors/misconceptions effectively.
A Construct Validity of Spatial Literacy Instrument
Authors: Anindyarini R , Rosnawati R
Published: December 2019

To measure spatial literacy skills, a good instrument is needed. Therefore, this study aims to 1) compile the construct of a spatial literacy ability test instrument for prospective mathematics teacher students, 2) to do validation of the construct to see the index of validity and reliability. Content validation using the V Aiken formula and the Cronbach Alpha coefficient were used to test the validity and reliability. The results showed that: 1) the construct of spatial literacy in the form of operational definitions, six indicators, 17 sub indicators and 34 questions in the form of multiple choices has shown a form of spatial concept integration with literacy, 2) spatial literacy test instruments are feasible because they meet index validity requirements V Aiken between 0.67 - 0.89. The test kit also states fit for 34 items, because it is in the acceptance limit range of >0.77 to <1.30. In addition, the level of difficulty on the test using a logit scale that produces 13 categorized items is very easy, 6 items are easy, and 15 items are difficult. In the study, the value of reliability was 0.704 (> 0.5). While the Standard Error of Measurement (SEM) which is a value that measures how precise the value obtained is equal to 1.287. Henceforth, this test kit can be used by the academic community at universities or other agencies concerned to measure the level of spatial literacy of prospective mathematics teachers.
Analysis of the big data generated in the company’s social networks “Sistemas Expertos SAS” using NVivo
Authors: Rojas-Figueroa A M , Londoño-Gallego J A , Pérez-Betancur N , Gómez-Navarro M V
Published: December 2019

The fourth industrial revolution sparked by the advent of the Internet caused a wide variety of media to interact with the shareholders of a company. The interaction on Facebook, Instagram, Twitter, YouTube, websites, and others, generated a large quantity of data that overwhelms the ability of a small entrepreneur to analyze, process and make appropriate decisions regarding the behavior of its consumers. The objective of this research paper is to analyze the social networks of “Sistemas Expertos SAS”, a consulting company in project management through NVivo 12 software. For the construction of this case a bibliographic analysis of the literature and a quantitative and qualitative analysis of the social channels of the company under study were carried out, using the technology of “Servicio Nacional de Aprendizaje” information processing and analysis laboratory. With this analysis we want to provide valuable information to better satisfy customers, thus generating social inclusion for small business owners who do not have access to advanced tools to innovate and allowing an approximation to the reality experienced by the 87% represented by Colombian small and medium sized enterprises.
Analysis of angular stability of the synchronous machine by biparametric bifurcations
Authors: Mesa F , Ospina R , Correa G
Published: December 2019

In this paper we present the qualitative solution techniques of dynamic systems applied to the second order model of the synchronous machine (swing equation), with the aim of achieving a deeper analysis about the stability of the electric power system. Initially, the dynamics of the electrical power system are brief described, where the elements that interact in this and the stability classes to be analyzed are explained. Next, the mathematical model of the synchronous machine is formulated in detail from Newton‘s second law, in order to specify the theory of dynamic systems and the qualitative solutions that are applied to the study model. Finally, the results of the implementation of the qualitative solution techniques of the dynamic study system are presented, concluding with the stability zones of the synchronous machine.
Data Sharing Technique Modeling for Naive Bayes Classifier for Eligibility Classification of Recipient Students in the Smart Indonesia Program
Authors: Mustakim  , Syahidatul Helma Siti , Ramadhani Ulya , Achmad Daengs GS , Novita Rice , Nuryanti  , Rahmawati Fitriatien Sri
Published: December 2019

The objective of Smart Indonesia Program (Program Indonesia Pintar: PIP) is to help school-aged people from poor / vulnerable / priority families to continue to receive education services to graduate from secondary education, both through formal and non-formal education channels. In its implementation, there are still many fraudulent in the proces of nominating proposal PIP funds and there are still many prospective students who should not receive PIP because they do not meet the technical guidelines provided by the Ministry of Education and Culture to determine the eligibility of prospective recipients of PIP funds can be done by schools and stakeholders, one of them by using classification techniques. One algorithm that is widely used in classification is the Naive Bayes Classifier (NBC) algorithm. In this study three data sharing techniques were used, namely Hold Out 70% training data and 30% testing data, K-Means Clustering, and also 10 Fold Cross Validation. Determination of the best data sharing technique will be determined by looking at the value of Accuracy, Precision, and Recall and also the value of Area Under Curve (AUC) which is illustrated by the Receiver Operating Characteristic (ROC) curve so that the NBC algorithm is generated with 10 Fold Cross Validation has a very good classification level with the values of accuracy, precision, and recall respectively at 97.40%; 100%; and 76.14%.
IoT Based Smart Parking System
Authors: Mustari Syafiq Ismail Mohd , Jusoh Muzammil , Sabapathy Thennarasan , Nasrun Osman Mohamed , Abdul Rahim Hasliza , Najib Mohd Yasin Mohd , Fasihah Mohd Fazilah Ainur
Published: December 2019

Difficulty to find parking space is major problem for users that want to park car especially at crowded spot. The old technique to find parking space is manual by finds free space area by self. This makes the users take more time and energy that end up lead to traffic jam. Due to these problems, based smart parking system is developed to ease user to find parking space. This method is developed to approach the user to using application to review available parking space and pay parking through mobile phone application. The requirement for this project is a Raspberry Pi 3, Python IDE for software, an ultrasonic sensor and a Pi Camera. There are two objectives for this project. Firstly, to develop monitoring system that detect presence vehicle using ultrasonic sensor and camera artificial intelligence. The second objective is to propose the parking fee payment can be made through mobile applications via PayPal. The project of the based smart parking system is work when the users reserve the parking and made a payment via PayPal through mobile application. While ultrasonic sensors and camera detect the present of the vehicle.
Smart Electronic Pigeon Hole System
Authors: Kah Hean Seah , Nazmi Mohd Nasir Mohd , Faiz Muhammad Asri Nandan Muhammad , Syafiq Abd Rahman Mohamad , Hanim Shafiqah Sidik Nurul , Jusoh Muzammil , Nasrun Osman Mohamed , Abdul Rahim Hasliza , Sabapathy Thennarasan , Najib Mohd Yasin Mohd , Fasihah Mohd Fazilah Ainur
Published: December 2019

Throughout this modernization world, the demands on Internet of Thing keep increasing. Most mailbox or pigeon hole are designed with poor efficiency system and commonly suffer from some possible flaws such as manually checking the letter by the user. The main problem of this project is to improve the existing pigeonhole system. In the case of staff at School of Computer and Communication System, Universiti Malaysia Perlis, each academic staff has been allocated a pigeon hole for any letters or memos from within or inter faculty. Unfortunately, the current conventional pigeon hole system is unable to inform and notify the staff on any urgent letter and this lead to significant delay in responding the letter. The main weakness of the current system is that staffs need to check their respective pigeon hole every day. However, due to the routine commitment or unforeseen circumstances the pigeon hole cannot be possibly checked every day. Hence, to fulfil this requirement, this project named as Smart Electronic Pigeon Hole System is introduced in order to make the pigeon hole more efficient. The purpose of this project is to design a smart electronic pigeon hole system with some detecting sensors such as infrared and ultrasonic sensors. Wi-Fi module acts as a tool to communicate via email between pigeonhole’s system and its owner. Arduino board is used to be programmed in such a way to process the sensors when detecting the upcoming document or letters and to continuously check the status of capacity of the pigeon hole. This project work with the administrative staff, who collected the documents from the post center, will entered and select the designated number of the pigeon hole users. Infrared sensors, located at the front, will detect the upcoming documents or letters. Ultrasonic sensor will detect the fullness of the letter in the pigeon hole. When there is arriving of document or letters, the user will get the notification email. The user will also get the warning notification email when their pigeon hole is full with documents. Red LED will light on when the capacity of the pigeon hole is full. The sensor will continually sense the condition of the pigeon hole as long as the system is activated. This project is suitable for the staff or the apartment residents as it has the capability to alert the user when there is a letter to prevent the urgent letter’s being ignored.
Optimizing Wireless Distribution System Network Infrastructure in Hybrid Topology using PCQ Method
Authors: Devira Ramady Givy , Hidayat Rahmad , Anung  , Ghea Mahardika Andrew , Hidayat Wisnu
Published: December 2019

A good and efficient network infrastructure design must be considered when first building a computer network system. The position of buildings that are far from each other sometimes becomes a separate problem that results in the quality and performance of computer network signal services not being optimal. The implementation of the Wireless Distribution System (WDS) on the STTM campus network infrastructure will be combined with the use of the Peer Connection Queue (PCQ) method, which is one of the features of the Mikrotik device. The use of the PCQ method aims to optimize internet bandwidth, through a mechanism for distributing bandwidth evenly to each user that has been set on the management bandwidth, also we can observe the throughput, delay, and jitter of the built network infrastructure. The study was carried out following the stages of designing schemes and network topology, designing and configuring network infrastructure, then in the last stage testing connectivity and performance was done through several clients connected to the network. The data obtained from the test results will be analyzed and then evaluated whether it is by the expected target of 0% packet loss, delay below 150ms, and jitter under 75ms.
Development of Teaching Modules Based on Problem Solving
Authors: Mahmudi Haris , Fauzi Ah.Sulhan , Setyowidodo Irwan
Published: December 2019

This research aims to develop teaching module products based on problem solving and disseminate product results to students as users. This research is a development research that uses three stages, namely: (1) preliminary research, (2) the stage of making a prototype, and (3) the assessment stage. Based on the data analysis of the validation results from the validator and the readability test analysis by the students’ assessment of the feasibility of teaching modules based on overall problem solving, the total mean score was 3.39 with the criteria feasible. The assessment of problem solving based teaching modules consists of two aspects, namely aspects of assessing the feasibility of content and aspects of evaluating the feasibility of presentation. Aspects of the feasibility assessment of the contents of problem solving based teaching modules obtain an average value of 3.22 with eligible criteria. The aspect of the feasibility assessment of presentation obtained an average value obtained from 3.55 with the criteria feasible. While the results of the teaching module based learning on problem solving to students viewed from the results of the student satisfaction questionnaire on the use of teaching modules developed were 83% of students very good, while the remaining 17% were good.
Servo Control for Missile System
Authors: Nataliana Decy , Syafruddin R , Devira Ramady Givy , Liklikwatil Yakob , Ghea Mahardika Andrew
Published: December 2019

The ability to make control systems is very limited, especially high-speed two-dimensional motion controls such as missile controls, for that reason researchers try to examine the title Servo Control For Missile System. As a researcher, his goals and hopes from this simple one can become a prototype, the endurance test and then can be used as mass production. Where the stages of this research method make Servo Control For Missile System, the control signal is received through the radio to be processed. Here the researchers used codevision software to create a software application, the signal from the radio then combined with the optical encoder position signal, to get smoother and more precise motion, stopping at a position that is has been ordered then as feedback is input from the encoder servo motor, then the signal is amplified to drive motor power amplifier driver circuit. In this case, the signal processing uses a microcontroller, with several considerations, including a fairly small physical dimension where the outer diameter of the casing is 120mm, the inner diameter is 116mm. Overall Servo Control For Missile System which is a real-time software and hardware control signal application to drive fin.
Socio-Cultural and Settlement Factors That Influence Pro Environmental Behavior on Rural-Urban Citizen
Authors: Mukti Amrullah Haris , Herdiansyah Herdis
Published: December 2019

Environmental behavior in the community has a vital role in structuring the city environment — identification of factors that influence the development of pro-environmental behavior. Various models of the formation of environmental behavior theories show various internal and external factors that determine the development of pro-environmental behavior in a person. Previous studies had explained how socio-cultural, and place attachment are the external factors that contribute to shaping pro-environmental behavior. However, further studies are necessary to determine the most appropriate solution can be applied in emerging cities like Jakarta, based on the grading systems of socio-cultural, and place attachment determinants. This study evaluated the proposed solutions based on those determinants, and calculates the rank based on the implementation criteria, namely: effectiveness, cost, duration, and sustainability using AHP as a tool in the decision-making process in solving the problems with high complexity. It is determined that the prioritized alternative to be implemented in the urban/rural area in Jakarta is Place Attachment, as it is the most sustainable and effective alternative in developing the pro-environmental behavior within the community.
Competitive Force Model for Indopipe Industry with Analysis of Customer Requirements
Authors: Ambarwati Rita , Fathurochman A G , Rizal As’ad
Published: December 2019

The pipeline industry is one of the manufacturing industries that support national development infrastructure. Increased efficiency and expanded brand market share with optimizing the opportunities available on the market is one of the efforts in increasing competitive advantage. The design of this study used interviews and data collection through questionnaires. The analytical unit is the engineering expertise of the Indopipe company at all manager levels. The result of this analysis is the determination of competitive strength strategies with Porter Five Forces in the pipe industry based on criteria of quality, cost, delivery, safety, and morale. The results of the analysis of the study show that strategies to address the threat of new entrants are a priority for managers in this industry. In addition, by improving the quality of pipe products and making this product brand as a market leader, it is the main strategy in increasing competitiveness.
Workload Analysis by Using Nordic Body Map, Borg RPE and NIOSH Manual Lifting Equation Analyses: a Case Study in Sheet Metal Industry
Authors: Chin Jacky , Herlina  , Iridiastadi Hardianto , Shu-Chiang Lin , Fadil Persada Satria
Published: December 2019

The purposes of this research were to identify the lifting complaints experienced by the painting operators in the sheet metal industry at west java, Indonesia. The lifting issues such as operators’ lifting effort and risk were evaluated by combining the Nordic Body Map, the Borg Rating of Perceived Exertion and the NIOSH manual lifting equation tool. Specifically, two questionnaires that consist of Nordic Body Map and Borg Rating of Perceived Exertion and field observation were used as the research methodologies to evaluate respondents’ lifting process when loading the panel box, where its body part, door part and base plate were examined. All of the 44 full-time operators in the painting department of the sheet metal company participated in this study. Their age ranged from 20 to 40 years old. Five complaints were identified by Nordic Body Map questionnaire. These complaints were pain, discomfort, and tingling at operators’ neck, shoulders, and hips. Finding from Borg Rating of Perceived Exertion questionnaire revealed that the effort needed to lift the panel body parts were substantially higher than door parts and base plate. A new manual conveyor was then installed and the study’s recommendations were proven to be successful by reducing the 1991 NIOSH lifting index value from 1.65 to 0.91 when lifting panel body part, from 1.3 to 0.72 when lifting panel door part, and from 0.93 to 0.51 when lifting panel base plate. The value of the Borg Rating was also decreased from 13.79 to 11.96 for panel body part, from 9.36 to 8.82 for panel door part, and from 8.82 to 8.25 for panel base plate, and the lifting complaints of the painting operators were reduced.
Learning of Medicinal Herbs Using QR Codes
Authors: Yasmin Khairani Zakaria Nur , Zaini Hafiz , Siraj Saedah , Md Yunus Melor , Hashim Harwati
Published: December 2019

Rapid development of information technology today has widened the use of computers as well as mobile phones. With more sophisticated devices is equipped with high resolution color, wireless access and high-speed processing. The current development has evolved with the creation of the portal since the mid-90‘s and given that the potential of the portal, it has been used by various firms regardless of body governmental or statutory bodies. Various advantages that can be utilized by the use of portals as it is has a dynamic source of information from a variety of sources and various formats. The current study aims to discover effects of QR codes implementation on medicinal herbs learning. The findings of students’ responses revealed that the QR Code facilitate the learning of medicinal herbs, whereby the mean from this analysis revealed that average majority of the students find the learning approach is easy to be employed.
Wing Morphology and Body Design in Opsiphanes and Caligo Butterflies Match the Demands of Male Mating Displays (Lepidoptera: Nymphalidae)
Authors: Penz Carla M , Williams Susan F
Published: December 2019

There is noticeable variation in male mate-seeking behavior among species of Brassolini butterflies. Males of Opsiphanes Doubleday and Caligo Hübner (Lepidoptera, Nymphalidae) species perform crepuscular displays along forest edges and in light gaps. While male Opsiphanes perform aerial displays, Caligo males perch and wait for receptive females. A comparison of five species of each genus suggests that male display behavior is associated with, and has likely influenced the evolution of their wing attributes and body design. Opsiphanes males have higher wing aspect ratio and more distal centroid position than congeneric females, suggesting that the energetic demands of aerial displays led to sexual dimorphism in wing morphology. In contrast, male and female Caligo generally showed similar wing morphology, which possibly results from the lower energy expenditure of perching behavior when compared with active flight. Likely due to a genetic correlation between sexes, female Opsiphanes and Caligo are more similar in wing morphology and body design to their congeneric males than to each other. Based on our analyses, we make predictions about reproductive behavior for four species in which male mating displays are unknown.
VEF: a variant filtering tool based on ensemble methods
Authors: Zhang Chuanyi , Ochoa Idoia
Published: December 2019

Motivation

Variants identified by current genomic analysis pipelines contain many incorrectly called variants. These can be potentially eliminated by applying state-of-the-art filtering tools, such as Variant Quality Score Recalibration (VQSR) or Hard Filtering (HF). However, these methods are very user-dependent and fail to run in some cases. We propose VEF, a variant filtering tool based on decision tree ensemble methods that overcomes the main drawbacks of VQSR and HF. Contrary to these methods, we treat filtering as a supervised learning problem, using variant call data with known ‘true’ variants, i.e. gold standard, for training. Once trained, VEF can be directly applied to filter the variants contained in a given Variants Call Format (VCF) file (we consider training and testing VCF files generated with the same tools, as we assume they will share feature characteristics).

Results

For the analysis, we used whole genome sequencing (WGS) Human datasets for which the gold standards are available. We show on these data that the proposed filtering tool VEF consistently outperforms VQSR and HF. In addition, we show that VEF generalizes well even when some features have missing values, when the training and testing datasets differ in coverage, and when sequencing pipelines other than GATK are used. Finally, since the training needs to be performed only once, there is a significant saving in running time when compared with VQSR (4 versus 50 min approximately for filtering the single nucleotide polymorphisms of a WGS Human sample).

Availability and Implementation

Code and scripts available at: github.com/ChuanyiZ/vef.

Supplementary information

Supplementary data are available at Bioinformatics online.
Sparse estimation for case–control studies with multiple disease subtypes
Authors: Ballout Nadim , Garcia Cedric , Viallon Vivian
Published: December 2019

The analysis of case–control studies with several disease subtypes is increasingly common, e.g. in cancer epidemiology. For matched designs, a natural strategy is based on a stratified conditional logistic regression model. Then, to account for the potential homogeneity among disease subtypes, we adapt the ideas of data shared lasso, which has been recently proposed for the estimation of stratified regression models. For unmatched designs, we compare two standard methods based on $L_1$-norm penalized multinomial logistic regression. We describe formal connections between these two approaches, from which practical guidance can be derived. We show that one of these approaches, which is based on a symmetric formulation of the multinomial logistic regression model, actually reduces to a data shared lasso version of the other. Consequently, the relative performance of the two approaches critically depends on the level of homogeneity that exists among disease subtypes: more precisely, when homogeneity is moderate to high, the non-symmetric formulation with controls as the reference is not recommended. Empirical results obtained from synthetic data are presented, which confirm the benefit of properly accounting for potential homogeneity under both matched and unmatched designs, in terms of estimation and prediction accuracy, variable selection and identification of heterogeneities. We also present preliminary results from the analysis of a case–control study nested within the EPIC (European Prospective Investigation into Cancer and nutrition) cohort, where the objective is to identify metabolites associated with the occurrence of subtypes of breast cancer.
A Sensitive HPTLC Method for the Estimation of Glibenclamide, Rosiglitazone Maleate and Metformin Hydrochloride from a Multicomponent Dosage Form
Authors: Bhende Swati D , Varanasi Murali Balaram , Abbulu Konde
Published: December 2019

A sensitive, rapid and cost-effective method based on HPTLC with UV detection was developed for the quantitation of Glibenclamide (GLIBEN), Rosiglitazone maleate (ROSI) and Metformin hydrochloride (MET) from a combined dosage form. Pre-coated RP-18 F254s aluminum sheets were used as the stationary phase. Methanol–tetrahydrofuran–water–glacial acetic acid (16: 3.6: 4: 0.4, v/v) used as the mobile phase, along with chamber saturation of 10 min offered an optimum migration (Rf = 0.54, 0.62 and 0.80 for GLIBEN, ROSI and MET, respectively). TLC Scanner 3 was used for densitometric evaluation of the chromatograms. DigiStore 2 Documentation System with winCATS software version 1.4.10 was used for the quantitation and photodocumentation. The LOD for GLIBEN, ROSI and MET was found to be 80 ng, 80 ng and 48 ng, respectively. Moreover, the LOQ was 200 ng, 200 ng and 120 ng for GLIBEN, ROSI and MET, respectively. The method was linear for GLIBEN (r = 0.9991), ROSI (r = 0.9993) and MET (r = 0.9988) within the tested range (200–1000, 200–1000 and 120–600 ng/band, respectively). The method was found to be precise and accurate for all the three drugs. The method was applied for the analysis of Triglucored tablets, and it proved to be a reliable quality control tool for the routine analysis of GLIBEN, ROSI and MET in a combined dosage form.
Stonewall and its Legacy in Iberia
Authors: Cleminson Richard
Published: December 2019

This short article evaluates the changing and conflictive discourse and practice around homosexuality over the twentieth century in Spain and Portugal. The Iberian states were under dictatorship at the time of the Stonewall riots in 1969. Despite the repressive legislation introduced in both countries, it is possible to discern resistance against the law and against a general climate of social opprobrium. Rather than seeing Stonewall as a starting point or an obligatory definitive reference for ‘gay liberation’, the experience of LGBT people in Iberia allows us re-evaluate the history of sexuality against the backdrop of authoritarian regimes, the colonial past and acts of resistance, however small, for a critical history of LGBT life in Europe and beyond.
The survival of business takeovers and new venture start-ups
Authors: Xi Guoqian , Block Jörn , Lasch Frank , Robert Frank , Thurik Roy
Published: December 2019

Business takeovers and new venture start-ups are two important and distinct entry modes of entrepreneurship. They differ from resource-based and organizational ecology perspectives. We compare firm survival patterns and determinants associated with the two entry modes. From two large French datasets, we find that business takeovers have a higher survival rate than new venture start-ups. However, these differences in survival probability reduce over the entrepreneurship life cycle and when controlling for different entrepreneur and firm characteristics. Moreover, we identify differences in determinants of survival for the two groups, highlighting a distinction between the two entrepreneurship entry modes. This work contributes to the literature on the relationship between entrepreneurship entry and firm survival, thereby contributing to both entrepreneurship and firm survival research.
A “Pedagogy of Discomfort”? Experiential Learning and Conflict Analysis in Israel-Palestine
Authors: Head Naomi
Published: December 2019

A “pedagogy of discomfort” (Boler 1999) recognizes the degree to which epistemology, emotions, and ethics are closely entwined both within and beyond our classrooms shaping who, what, where, why, and when we can see. It recognizes not only the intellectual and cognitive focus of education but also its embodied and affective dimensions. A pedagogy of discomfort which engages with the historically, politically, and ideologically contested and the emotionally invested subject of Israel/Palestine offers one way to engage in the teaching and learning of conflict analysis, and to support the development of active and critical student-citizens. This article suggests that experiential learning can support the development of pedagogical discomfort and explores this in the context of the Olive Tree Initiative, a narrative-based and experiential learning program for undergraduate politics and international relations students that focuses on Israel/Palestine. Drawing on student testimony, this article explores the ways in which the program plays a role in challenging dominant social, political, and emotional beliefs in order to create possibilities for individual and social transformation. It also reflects on some of the challenges and limitations posed by this approach, and engages with questions of emotions, vulnerability, and ambiguity in and beyond the classroom.
Native North American ethnography in European collections
Authors: Feest Christian
Published: December 2019

Objects of Native North American origin have entered European collections since the sixteenth century and to this day remain important documents of historical ethnography. Owing to their dispersal to institutions that often lack the expertise required for their proper assessment, and also to the fragmented nature of the available literature in various languages, they have yet to receive the full attention they deserve. The present overview summarizes the results of research and publications on this subject matter since 1992.