bluuebunny/crossref_metadata_2025 huggingface dataset:
Recursive Block LU Decomposition based ELM in Apache Spark
Authors: Ragala Ramesh , Bharadwaja Kumar G
Published: August 2020

Due to the massive memory and computational resources required to build complex machine learning models on large datasets, many researchers are employing distributed environments for training the models on large datasets. The parallel implementations of Extreme Learning Machine (ELM) with many variants have been developed using MapReduce and Spark frameworks in the recent years. However, these approaches have severe limitations in terms of Input-Output (I/O) cost, memory, etc. From the literature, it is known that the complexity of ELM is directly propositional to the computation of Moore-Penrose pseudo inverse of hidden layer matrix in ELM. Most of the ELM variants developed on Spark framework have employed Singular Value Decomposition (SVD) to compute the Moore-Penrose pseudo inverse. But, SVD has severe memory limitations when experimenting with large datasets. In this paper, a method that uses Recursive Block LU Decomposition to compute the Moore-Penrose generalized inverse over the Spark cluster has been proposed to reduce the computational complexity. This method enhances the ELM algorithm to be efficient in handling the scalability and also having faster execution of the model. The experimental results have shown that the proposed method is efficient than the existing algorithms available in the literature.
Heart disease prediction using stacked ensemble technique
Authors: Vasudev R. Aravind , Anitha B. , Manikandan G. , Karthikeyan B. , Ravi Logesh , Subramaniyaswamy V.
Published: August 2020

Heart diseases are one of the crucial diseases that may cause fatality in both men and women. About 12 million deaths occur across the world due to heart diseases. With the advancement in information technology, it is possible for the Healthcare industry to store enormous volume of data containing millions of patient’s medical information along with their treatment details. If utilized in an efficient manner, this information helps the doctors to diagnose the diseases in a precise manner. Data mining algorithms are employed to analyse huge data sets and to discover unseen patterns. Data mining plays an essential role in medical diagnosis. Doctors bank on different computer models which uses data mining algorithms to prefigure different kinds of diseases in patients. So, the need is to design a methodical data mining algorithm that helps for better forecast of diseases. The main goal of this work is to create an ensemble of algorithms which results in better accuracy. The ensemble is constructed by making use of stacking ensemble technique, which comprises of two categorization algorithms namely Naïve Bayes and Artificial Neural Network. The Cleveland heart disease data set acquired from UCI machine learning repository containing 14 attributes and 303 instances is given as input to these algorithms. From our experimental analysis it is evident that the proposed ensemble scheme results in a better accuracy.
Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN1
Authors: Sengan Sudhakar , Arokia Jesu Prabhu L. , Ramachandran V. , Priya V. , Ravi Logesh , Subramaniyaswamy V.
Published: August 2020

In the last decade, numerous researches have been focused on Image Super-Resolution (SR); this recreation or improvement model is vital in different research areas. Recently, deep learning algorithm finds useful to advance in the resolution of the medical output. Here, we devise a novel Deep Convolutional Network model along with the optimal learning rate of the Rectified Linear Unit (ReLU) intended for Medical Image Super-Resolution (MISR). For getting the optimal values of Deep Learning AlexNet structure, Modified Crow Search (MCS) is utilized, which is mainly depends on the behavior of crow sets. The chosen Alexnet lacks in a sort of suitable supervision for upgrading execution of the proposed model that effectively aims to overfit. The proposed design, i.e., MISR, named Deep Optimal Convolutional AlexNet (DOCALN), derives the optimal values of learning rates of the ReLU activation function. Based on this optimal deep learning structure, the Low Resolution (LR) medical images can be applied. Experimentation results of our proposed model are compared with variants of Convolution Neural Networks (CNN) concerning different measures such as image quality assessment, SR efficiency analysis, and execution time.
White blood cell detection and classification using Euler’s Jenks optimized multinomial logistic neural networks
Authors: Karthikeyan M.P. , Venkatesan R. , Vijayakumar V. , Ravi Logesh , Subramaniyaswamy V.
Published: August 2020

Due to the wide acceptance of White Blood Cells (WBCs) in disease diagnosis, detection and classification of WBC are hot topic. Existing methodologies have some drawbacks such as significant degree of error, higher accuracy, time bound and higher misclassification rate. A WBCs detection and classification called, Jenks Optimized Logistic Convolutional Neural Network (JO-LCNN) method has proposed. Initally, Eulers Principal Axis is used as a convolution model to obtain a rotation invariant form of image by differentiating the background and RBCs, then eliminating them which leaves only the WBCs. By eliminating the wanton features, inherent features are detected contributing to minimum misclassification rate. According to above, Jenks Optimization function is used as a pooling model to obtain feature map for lower resolution. Therefore JO-LCNN is used for removing tiny objects in image and complete nuclei. Finally, Multinomial Logistic classifier is used to classify five types of classes by means of loss function and updating weight according to the loss function, therefore classifying with higher accuracy rate. Using LISC database for WBCs with different parameters as classification accuracy, false positive rate and time complexity are performed. Result shows that JO-LCNN, efficiently improves accuracy with less time, misclassification rate than the state-of-art methods.
How to empower women’s entrepreneurship? An analysis of women’s sport employment and contextual variables in European Union countries using a fuzzy approach
Authors: González-Serrano María Huertas , Llanos-Contreras Orlando , Calabuig-Moreno Ferran
Published: August 2020

Although the number of women entrepreneurs has increased in recent years, it is still lower than that of men. In addition, although the sports sector has been characterized by its growth in recent years and contributes to the GDP of the countries by generating employment, the role that this has within female entrepreneurship has never been analysed. Therefore, the objective of this study is to know the combinations of conditions (female employment in sports, government support, financing for entrepreneurs, perception of entrepreneurial opportunities and capacities, glass ceiling index and masculine values in society) that generate high levels of female entrepreneurship in the countries of the European Union, as these values are closer to the male TEA (Total Early-Stage Entrepreneurial Activity). A total of 13 European countries were analysed using the fsQCA methodology. The results show that, for high levels of female TEA, the main combination is high levels of government support*high levels of glass ceiling index*low levels of masculinity*low levels of opportunities perception and high levels of female employment in sport, explaining 45% of the cases. The results present a series of implications for improving female entrepreneurship in the European Union countries.
Actuarial model for estimating the optimum rate of return of a joint-and-survivor annuity portfolio
Authors: Agudelo Gabriel , Franco Luis , Saona Paolo
Published: August 2020

In actuarial science related to pension systems, it is widely assumed that the rate at which the reserves cover the payment of annuities (calculated for a given number of lives) is equal to the expected rate of return of the portfolios in which such reserves are invested. Given this assumption, pension fund managers may take greater risks to realize higher returns and subsequently reduce their pension liabilities. This study demonstrates that the discount rate used to calculate a two-life annuity and the expected return on the portfolio are not necessarily equal. A stochastic-based model is used to determine the proper discount rate for calculating the two-life annuity. The model includes fluctuations of both the interest rate and the payments made by the annuity. In general, this study contributes to the stability of pension systems by determining the appropriate discount rate when computing required actuarial reserves or the portfolio’s required rate of return given a reserve.
Group-decision making with induced ordered weighted logarithmic aggregation operators
Authors: Alfaro-García Víctor G. , Merigó José M. , Gil-Lafuente Anna M. , Monge Rodrigo Gómez
Published: August 2020

This paper presents the induced generalized ordered weighted logarithmic aggregation (IGOWLA) operator, this operator is an extension of the generalized ordered weighted logarithmic aggregation (GOWLA) operator. It uses order-induced variables that modify the reordering process of the arguments included in the aggregation. The principal advantage of the introduced induced mechanism is the consideration of highly complex attitude from the decision makers. We study some families of the IGOWLA operator as measures for the characterization of the weighting vector. This paper presents the general formulation of the operator and some special cases, including the induced ordered weighted logarithmic geometric averaging (IOWLGA) operator and the induced ordered weighted logarithmic aggregation (IOWLA). Further generalizations using quasi-arithmetic mean are also proposed. Finally, an illustrative example of a group decision-making procedure using a multi-person analysis and the IGOWLA operator in the area of innovation management is analyzed.
Fuzzy clustering as a new grouping technique to define the business size of SMEs through their financial information
Authors: Reyes-Ruiz Gerardo , Hernández-Hernández Marisol
Published: August 2020

SMEs have a very important performance in any current economy because they contribute both to the generation of wealth and to the creation of jobs. In this article we analyze a sample of 12,658 Catalan SMEs and show the level of association that exists between some of their financial ratios to construct a synthetic measure that explains their business size. For the study of financial ratios, we used three data analysis techniques first, and to find the optimal number of clusters, we used the Two-Phase Clusters algorithm. Subsequently, and once the optimal number of groups was known, the most probable business size (cluster) for each company was calculated through a Fuzzy Clustering analysis. Finally, the optimal cluster, estimated for each company, was validated with a Probit model. The results allowed knowing that the size reported by each company is not necessarily equal to the synthetic measure proposed in this article. It is suggested to validate our results with an accounting analysis, other equally robust methodologies or algorithms, such as neural networks.
Developing a new multidimensional model for selecting strategic plans in balanced scorecard
Authors: Daniel Jay , Merigó José M.
Published: August 2020

The main motivation of this research is to develop an innovative multidimensional model through multi attribute decision making (MADM) methods for strategic plans selection process in the Balanced Scorecard (BSC). The current study adopted MADM analytical methods including AHP, ELECTRE, BORDA, TOPSIS and SAW to rank the initiatives / strategic plans in BSC. Then the results of those methods were compared against each other in order to find a robust model for selecting strategic plans. The correlation coefficient between methods indicated that multidimensional and ELECTRE methods with 0.944 are the best performing and AHP with negative correlation (–0.455) is the worst performing method for selecting strategic plans in BSC. The high correlation demonstrates that the model can be a useful and effective tool to finding the critical aspects of evaluation criteria as well as the gaps to improve company performance for achieving desired level. Developing multidimensional model is the core model for the selection of strategic plans. This study addresses the problem and issues of group decision making process for selecting strategic plans in BSC. It has numerous contributions that particularly includes; 1) Determination of the explicit criteria sub-criteria and criteria to improve ranking strategic plans in BSC, 2) Adopting MADM analytical methods including AHP, ELECTRE, BORDA, TOPSIS and SAW for the selection of strategic plans decision problem in BSC, 3) Developing multidimensional model to address the selection of strategic plans problems in BSC. The proposed model will provide an approach to facilitate strategic plans decision problem in BSC.
Pythagorean membership grade distance aggregation: An application to new business ventures
Authors: Mariño-Becerra Gladys , Blanco-Mesa Fabio , León-Castro Ernesto
Published: August 2020

The objective of the paper is to present an extension of the ordered weighted average (OWA) operator, probability OWA (POWA) operator, distance measures and Pythagorean membership grades. These new operators are called the Pythagorean membership grade OWA distance (PMGOD) operator and the probabilistic Pythagorean membership grade OWA distance (PPMGOD) operator. This extension includes in one formulation the ability to measure the ideal vs. real situation of the distance operators, the weighting vector and reordering step of the OWA operator and the way in which it includes uncertainty based on the satisfaction of the criteria of the Pythagorean membership degree. These propositions are applied to new business ventures in the city of Colombia, where the decision maker can express his/her concerns about the uncertainty and probabilities of the current business environment and, thus, generate a better decision-making process.
Impact of emerging technologies in banking and finance in Europe: A volatility spillover and contagion approach1
Authors: Arenas Laura , Gil-Lafuente Anna María
Published: August 2020

The empirical evidence suggests that stock returns in the emerging technology environment exhibit high stock return volatility. The fundamental aim of the article is to investigate the dynamic, time series properties of the correlations between daily log returns and magnitude of the volatility transmissions from the emerging technologies environment to the Spanish banking sector, the Spanish market portfolio and the finance industry in the EU area. Using daily log returns for the performance variables and an equally weighted index was constructed as proxy to represent the emerging technology phenomena covering a period from the 7th of July of 2015 to the 20th of September of 2019. The study applies generalized autoregressive conditional heteroskedasticity GARCH followed by the diagonal BEKK approach. One key finding is that the emerging technology environment is important in capturing volatility of Spanish banking sector, the Spanish market portfolio and the finance industry in the EU area through significant volatility clustering, volatility spillover and volatility persistence. Results exhibit very large GARCH and relatively low ARCH effects indicating a long persistence of resulting shocks over volatility. Broadly, the Spanish banking sector seems to be the most exposed to volatility spillover. Nevertheless, it is the finance industry across the EU which is more affected by the volatility persistence from emerging technology shocks in terms of volatility and cross – volatility point of view. Additionally, high volatility periods provide insights about an increased integration and volatility spillover. From an investor perspective, one important implication is that adding stocks from different emerging technologies to a portfolio does not necessarily lead to risk reduction.
A novel WiFi signal and RGB image fusion positioning method for manufacturing workshop
Authors: Bai Nan , Chen Guangzhu , Hou Rui , Ying Feng
Published: August 2020

With the sustainable development of mobile communication technology and the increasing demand for indoor services, Location-based Service (LBS) is attracting more and more attention. Determining the mobile target’s location is a core problem of LBS. The traditional WiFi signal fingerprint-based positioning technology mainly determines the location information of the mobile target by received RSS, which has high real-time positioning but low positioning accuracy. The fingerprint-based positioning technology using image mainly determines the location information of the mobile target by matching the features of the foreground images, which has the high positioning accuracy but low real-time positioning. This paper presents an indoor positioning method fusing information of the WiFi signal and RGB image to improve the positioning performance. The WiFi signal is transformed into the W-image according to indoor space and correction radius parameters, then the W-image and RGB image information are fused with LBP feature by the uniform-LBP algorithm. A fusion positioning model based on the sparse representation is established and solved using Lasso and BPDN positioning method. The positioning methods are tested in manufacturing workshop, and the experimental results show that the proposed method can reduce the complexity of the positioning method and achieve the higher positioning accuracy under same conditions.
A convolutional-LSTM model for nitrogen oxide emission forecasting in FCC unit
Authors: Wu Beng , He Wei , Wang Jing , Liang Huaqing , Chen Chong
Published: August 2020

As the environment issue is put on the agenda, air pollution also concerns a lot. Nitrogen oxide (NOx) an is important factor which affects air pollution and is also the main gas emissions of the smoke and waste gas of FCC unit in petrochemical industry. It is important to accurately predict the NOx emission in advance for petrochemical industry to avoid air pollution incidents. In this paper, convolutional neural network (CNN) and long short-term memory (LSTM) are combined to predict the NOx emission in Fluid Catalytic Cracking unit (FCC unit). Convolutional-LSTM (CLSTM) is able to extract the spatial and temporal features which are essential information in the prediction of the NOx emission. The features in the factors of production which would affect the NOx emission are extracted by CNN which prepares time series data for LSTM. The LSTM layer is connected after CNN to model the irregular trends in time series. CNN, Multi-layer perception (MLP), rand forest (RF), support vector machine (SVM) and LSTM are implemented as baseline models. The results from the proposed CLSTM model showed better performance than all the baseline models. The mean absolute error and root mean square error for CLSTM were calculated with the values of 16.8267 and 23.7089 which are the lowest among all the models. The Pearson correlation coefficient and R2 for the proposed CLSTM model are calculated with the value of 0.9263, 0.8237 which are the highest among all the models. Furthermore, the residual graphs indicate the well matched performance between the observations and the predictions. The study provides a model reference for forecasting the NOx concentration emitted by FCC unit in petrochemical industry.
Evaluation of port emergency logistics systems based on grey analytic hierarchy process
Authors: Yang LiGuo , Li Chaoling , Lu Lin , Guo Tai
Published: August 2020

The marine economy has become a growth point for the regional economy. International resource exchange is mainly achieved through marine transportation. Ports play a vital role in marine transportation and also play an important role in some large-scale international rescue activities. When an emergency occurs in the port, the port emergency logistics system has an important impact on the collection and distribution of materials, which can effectively reduce the negative impact and economic loss caused by the emergency. Through in-depth analysis of the emergency logistics system, design the comprehensive evaluation system of the port emergency logistics distribution system, and based on the characteristics of the grey, fuzzy and difficult to quantify the influencing factors of the emergency logistics distribution system, apply the analytic hierarchy process and grey system theory to establish the gray level comprehensive evaluation model of the port emergency logistics distribution system. In this model, the analytic hierarchy process is used to determine the index weight, and then the grey theory is used to comprehensively evaluate the emergency logistics distribution system. Finally, the port is used as a case to verify the practicability and effectiveness of the model.
Meta-heuristic inspired by the behavior of the humpback whale tuned by a fuzzy inference system
Authors: Ferrari Allan Christian Krainski , Coelho Leandro dos Santos , Leandro Gideon Villar , Osinski Cristiano , da Silva Carlos Alexandre Gouvea
Published: August 2020

The Whale Optimization Algorithm (WOA) is a recent meta-heuristic that can be explored in global optimization problems. This paper proposes a new parameter adjustment mechanism that influences the probability of the food recognition process in the whale algorithm. The adjustment is performed using a fuzzy inference system that uses the current iteration number as input information. Our simulation results are compared with other meta-heuristics such as the conventional version of WOA, Particle Swarm Optimization (PSO) and Differential Evolution (DE). All algorithms are used to optimize ten test functions (Sphere, Schwefel 2.22, Quartic, Rosenbrock, Ackley, Rastrigin, Penalty 1, Schwefel 2.21, Six hump camel back and Shekel 1) in order to obtain their respective optimal values for be used as criteria for analysis and comparison. The results of the simulations show that the proposed fuzzy inference system improves the convergence of WOA and also is competitive in relation to the other algorithms, i.e., classical WOA, PSO and DE.
Gastric Motility in Parkinson’s Disease is Altered Depending on the Digestive Phase and Does Not Correlate with Patient-Reported Motor Fluctuations
Authors: Ruck Laura , Unger Marcus M. , Spiegel Jörg , Bürmann Jan , Dillmann Ulrich , Faßbender Klaus , Reith Wolfgang , Backens Martin , Mühl-Benninghaus Ruben , Yilmaz Umut
Published: August 2020

Background: Altered gastric motility is a frequent non-motor symptom of Parkinson’s disease (PD). It has been hypothesized that disturbed gastric motility contributes to motor fluctuations in PD due to an erratic gastro-duodenal transport and an unpredictable absorption of drugs. Objective: We investigated whether patient-reported fluctuations are associated with parameters of gastric motility visualized by real-time magnetic resonance imaging (MRI) of the stomach. Methods: We analyzed real-time MRI-scans of the stomach after an overnight fasting period in 16 PD patients and 20 controls. MRI was performed 1) in the fasting state, 2) directly after a test meal, and 3) 4 hours postprandially. Gastric motility indices were calculated and compared between groups. Results: MRI showed an attenuated gastric motility in PD patients compared to controls. The difference was most obvious in the early postprandial phase. Gastric motility was not associated with patient-reported motor fluctuations. Using an iron-containing capsule we were able to retrace retention of drugs in the stomach. Conclusion: The results of this study stress the importance of considering the phase of digestion when investigating gastric motility in PD. Despite theoretical considerations, we did not find robust evidence for an association between MRI parameters of gastric motility and patient-reported motor fluctuations. For future studies that aim to investigate gastric motility in PD by MRI, we suggest multiple short-time MRIs to better track the whole gastro-duodenal phase in PD. Such an approach would also allow to retrace the retention of drugs in the stomach as shown by our approach using an iron-containing capsule.
Reconciliation of inconsistent data sources using hidden Markov models
Authors: Pankowska Paulina , Pavlopoulos Dimitris , Bakker Bart , Oberski Daniel L.
Published: August 2020

This paper discusses how National Statistical Institutes (NSI’s) can use hidden Markov models (HMMs) to produce consistent official statistics for categorical, longitudinal variables using inconsistent sources. Two main challenges are addressed: first, the reconciliation of inconsistent sources with multi-indicator HMMs requires linking the sources on the micro level. Such linkage might lead to bias due to linkage error. Second, applying and estimating HMMs regularly is a complicated and expensive procedure. Therefore, it is preferable to use the error parameter estimates as a correction factor for a number of years. However, this might lead to biased structural estimates if measurement error changes over time or if the data collection process changes. Our results on these issues are highly encouraging and imply that the suggested method is appropriate for NSI’s. Specifically, linkage error only leads to (substantial) bias in very extreme scenarios. Moreover, measurement error parameters are largely stable over time if no major changes in the data collection process occur. However, when a substantial change in the data collection process occurs, such as a switch from dependent (DI) to independent (INDI) interviewing, re-using measurement error estimates is not advisable.
More Bang for Your Buck: “Off-The-Shelf” Solutions for Cell Replacement Therapy
Authors: Meissner Torsten B. , Cowan Chad A.
Published: August 2020

The immune barrier to transplantation has widely been recognized as the ultimate hurdle to the translation of stem cell-based therapies. In particular the polymorphic nature of the human leucocyte antigens (HLA) poses an imminent barrier to the successful engraftment of cells from other than autologous sources. To make stem cell therapies available to a larger pool of patients and a commercially viable option several groups have attempted to create hypoimmunogenic “universal” donor stem cells that evaded immune detection. The goal of this commentary is to give a brief overview of the current approaches taken and discuss challenges that need to be addressed to turn such cells into a viable commercial option.
Notas sobre o abuso do direito de propriedade: da teoria do abuso do direito ao exercício abusivo do domínio
Authors: Chaves Marcelo Luz
Published: August 2020

O presente artigo tem por escopo analisar o instituto do abuso do direito e sua aplicação ao direito de propriedade. Para tanto, inicialmente, é feita uma abordagem da teoria do abuso do direito, perpassando por uma análise histórica do seu surgimento e desenvolvimento, bem como pelas teorias que explicam, numa perspectiva ontológica, essa categoria jurídica. Fixa-se, então, a concepção de abuso do direito adotada. Ademais, é exposto o conceito de propriedade utilizado no trabalho. Posteriormente, o escrito adentra especificamente no tema do abuso do direito de propriedade, mostrando as peculiaridades da aplicação do art. 187 do Código Civil ao direito de propriedade e expondo, ainda, a casuística sobre a matéria encontrada nos Tribunais pátrios.
Implementasi Metode Takrir Dalam Meningkatkan Kompetensi Literasi Al-Qur’an Di Pondok Pesantren Al-Izzah Kota Batu
Authors: Murdiono Murdiono , Mardiana Dina
Published: August 2020

Permasalahan literasi al-Qur’an yang dihadapi oleh para guru maupun calon guru ialah ketika berhadapan dengan realita bahwa mereka bersinggungan langsung dengan generasi milenial yang sebagian besar waktunya digunakan untuk media sosial, sehingga kurang memperhatikan kemampuan baca dan hafalan al-Qur’an. Tujuan penelitian ini ialah untuk meningkatkan kemampuan atau kompetensi santriwati dalam menghafal al-Qur’an. Mitra dalam pengabdian ini adalah pondok pesantren al-Izzah Kota Batu. Metode penelitian yang digunakan ialah melalui pendekatan kualitatif dengan jenis penelitian studi kasus. Hasil yang diperoleh bahwa penerapan metode Takrir dalam meningkatkan kemampuan menghafal Al-Qur’an  di Pondok Pesantren Al-Izzah Kota Batu Malang telah terlaksana dengan baik. Diharapkan pelatihan ini dapat meningkatkan kemampuan literasi al-Qur’an khususnya di Pondok Pesantren Al-Izzah Kota Batu Malang
PELATIHAN MANAJEMEN BERBASIS SEKOLAH DI MADRASAH IBTIDAIYAH KECAMATAN KLARI, KARAWANG, JAWA BARAT
Authors: Nurhattati Nurhattati , Fadhillah Fadhillah , Mustika Gelar Gelora
Published: August 2020

Kecamatan Klari adalah salah satu kecamatan di Kabupaten Karawang, yang memiliki desa dengan julukan desa Swasembada, tetapi hal ini bertentangan dengan ketidakberdayaan sekolah dalam memberdayakan sumber daya alam sesuai dengan kegiatan pembangunan daerah, dalam konteks sekolah sering disebut dengan sebagai konsep manajemen berbasis sekolah (MBS) untuk pergi ke sekolah berkualitas, terutama di Madrasah Ibtidaiyah (MI) Sekolah di bawah Departemen Agama, kebanyakan dari mereka tidak memahami konsep MBS. Sedangkan konsep MBS mensyaratkan sekolah untuk menerapkan prinsip-prinsip partisipatif, kemitraan, akuntabilitas, transparansi, keadilan dalam perencanaan, pengorganisasian, pelaksanaan, pelaksanaan, dan evaluasi program sekolah. Peningkatan kemitraan diperlukan untuk mencapai tujuan pendidikan yang optimal menuju Madrasah Ibtidaiyah (MI) di Kabupaten Klari. Terkait hal ini, Pascasarjana UNJ menyumbangkan pengetahuan dan pemahaman untuk meningkatkan kualitas MI melalui metode pelatihan untuk meningkatkan kompetensi Kepala MI Kabupaten Karawang, Jawa Barat. Berdasarkan evaluasi kegiatan pelatihan ini ditemukan bahwa 1) pelatihan lanjutan yang berkaitan dengan materi standar pendidikan nasional adalah penting untuk dilakukan. 2 Pemahaman peserta yang terbatas dalam meningkatkan sumber dana pendidikan masih terbatas, dan pelatihan perlu dilakukan terkait dengan peningkatan kompetensi warga sekolah di bidang kewirausahaan sekolah, 3) Sekolah masih belum merencanakan program sekolah berdasarkan derivasi visi, misi, dan nilai sekolah. Perencanaan yang dilakukan sejauh ini belum sistematis dan terintegrasi antara tahapan dalam persiapan Rencana Kegiatan Sekolah (RKS
Memberdayakan Keterampilan Mengembangkan Soal Hots pada Guru Biologi di Kabupaten Bekasi
Authors: Miarsyah Mieke , Ristanto Rizhal Hendi
Published: August 2020

Kegiatan pengabdian kepada masyarakat ini bertujuan agar guru biologi SMA di Kabupaten Bekasi dapat terampil mengembangkan soal HOTS. Guru sebagai peserta kegiatan pelatihan yang diundang dalam kegiatan merupakan perwakilan dari anggota MGMP Biologi yang tersebar dari beberapa beberapa wilayah di Kabupaten Bekasi yang diwakili oleh guru pada masing-masing Kecamatan. Kegiatan ini diharapkan dapat memberikan manfaat kepada guru tentang pelatihan pengembangan soal HOTS yang sesuai dengan keterampilan abad 21. Model kegiatan pelatihan dilaksanakan melalui 10 (sepuluh) tahap, yaitu: (1) brain storming atau curah pendapat ceramah dan tanya jawab tentang konsep penulisan soal HOTs, (2) mengerjakan pekerjaan rumah berupa 1 soal subyektif dan 1 soal obyektif, (3) pendalaman konsep HOTs, (4) penulisan 1 soal obyektif dan 1 soal subyektif secara individual, (5) pembentukan kelompok yang terdiri dari 5-8 guru dan saling menukarkan soal, (6) masing-masing guru menelaah berdasarkan instrument yang telah disediakan, (7) kelompok memilih soal yang paling HOTs dan meranking mulai HOTs, MOTs, dan LOTs, (8) presentasi oleh masing-masing kelompok berdasarkan hasil telaahnya, (9) kelompok lain memberikan tanggapan berkaitan dengan HOTs atau tidaknya soal, (10) penguatan dari narasumber untuk masing-masing kelompok.Kata kunci: Higher order thinking skill, HOTS, guru biologi, kabupaten Bekasi.
Implemetasi STEAM dalam Pembelajaran Biologi: Upaya Pemberdayaan Guru Biologi Madrasah Aliyah DKI Jakarta
Authors: Sartono Nurmasari , Suryanda Ade , Ahmad Tinia Leyli Shofia , Zubaidah Zubaidah , Yulisnaeni Yulisnaeni
Published: August 2020

Tercapainya indikator pembelajaran yang dibuat oleh seorang guru, salah satunya ditentukan oleh keterampilan guru dalam merancang pembelajaran dengan menggunakan pendekatan yang sesuai. Kegiatan pengabdian ini didasari kenyataan pada umumnya guru masih memiliki kesulitan dalam pengembangan dan pengimplementasian pembelajaran STEAM. Tujuan kegiatan ini adalah memberi peningkatan keterampilan guru Biologi dalam mengembangkan dan mengimplemtasikan pembelajaran biologi berbasis STEAM di sekolah masing-masing. Pelatihan ini menggunakan Metode experiential learning dengan pendekatan participant-centered melalui teknik studi kasus, dan simulasi, dilanjutkan dengan proses pembuatan media pembelajaran sederhana. Secara umum kegiatan ini berlangsung dengan baik dan sesuai dengan tujuan dan peserta dapat mengembangkan pembelajaran Biologi berbasis STEAM serta dibutuhkan pembinaan dan pengembangan berkelanjutan dengan instansi terkait.Kata kunci: biologi, experiential learning, participant-centered, STEAM
Efektivitas Penggunaan Metode Hipnoself dalam Meningkatkan Kepercayaan Diri Mahasiswa di STIKES Jendral Ahmad Yani Cimahi
Authors: Yuangga Kharisma Danang , Janudin Janudin , Marayasa I Nyoman , Pranoto Pranoto , Abidin Ali Zaenal
Published: August 2020

Tujuan dari kegiatan pengabdian kepada masyarakat ini adalah untuk menumbuhkan kepercayaan diri mahasiswa STIKES Jendral Ahmad Yani Cimahi. Selain itu juga untuk menggerakkan civitas akademik sekitar agar meningkatkan kepercayaan diri dalam kegiatan belajar dan dalam kehidupan sosial dengan sadar. Self-hypnosis juga sebaiknya tidak diajarkan pada klien yang bertujuan untuk mengungkap “fakta” yang tersimpan di memori pikiran bawah sadar. Memori bersifat rekonstruktif, bukan reproduktif. Dengan demikian, sama seperti dalam heterohypnosis, memori yang terungkap belum tentu akurat mengingat distorsi yang dapat terjadi pada memori.Kata Kunci :Hipnosis, HipnoselfABSTRACTThe purpose of community service activities is to foster the confidence of STIKES student General Ahmad Yani Cimahi. In addition, it is also to move the academic community around to increase self-confidence in learning activities and in social life consciously. Self-hypnosis should also not be taught to clients who aim to uncover the "facts" stored in the memory of the subconscious mind. Memory is reconstructive, not reproductive. Thus, as in heterohypnosis, the revealed memory is not necessarily accurate given the distortion that can occur in memory.Keywords: Hypnosis, Hipnoself
Penyuluhan Wirausaha untuk Meningkatkan Ekonomi Keluarga dengan Daur Ulang Barang Bekas Desa Mekarsari Kabupaten Bogor
Authors: Irmal Irmal , Tura Theobaldus Boro , Pranoto Pranoto , Jasmani Jasmani , Surgiarti Endang
Published: August 2020

Penyuluhan wirausaha home industry untuk meningkatkan ekonomi keluarga dengan daur ulang barang bekas, hadir untuk memberikan pengetahuan, wawasan dan peluang yang sangat potensial dikembangkan, karena bahan bakunya murah dan mudah diperoleh. Tujuan dari penyuluhan wirausaha home industry untuk meningkatkan ekonomi keluarga dengan daur ulang barang bekas agar masyarakat setempat dapat meningkatkan ekonomi keluarga dengan berkreasi, berkarya dan berdaya juang untuk mengubah barang bekas yang tidak bernilai secara ekonomis menjadi barang yang bernilai guna serta bernilai ekonomi tinggi.Kata Kunci : WirausahaABSTRACTCounseling home industry entrepreneurs to improve the family economy by recycling used goods, is here to provide knowledge, insight and opportunities that are very potential to be developed, because raw materials are cheap and easy to obtain. The purpose of counseling home industry entrepreneurs is to improve the family economy by recycling used goods so that the local community can improve the family economy by creating, working and struggling to convert used goods that are not economically valuable into goods of high value and economic value.Keywords: Entrepreneurship
Pengembangan Potensi Destinasi Wisata Curug Angkrek melalui Media Sosial di Kp. Cimuncang, Desa Karangnunggal, Kabupaten Tasikmalaya Jawa Barat
Authors: Ariyanto Aris , Sudarsono Agus , Ivantan Ivantan , Akbar Mada Faisal , Munarsih Munarsih
Published: August 2020

Kegiatan ini bertujuan untuk memotivasi dan memberikan penyuluhan masyarakat dalam mengelola dan memikirkan tata kelola yang efektif guna mengembangkan potensi wisata di desa Karangnunggal Kecamatan Karangnunggal Kabupaten Tasikmalaya. Metode yang dipakai yaitu dengan berbagai metode ceramah, diskusi dan tanya jawab, serta pendampingan bagi masyarakat melalui pelatihan Hasil dari kegiatan ini adalah masyarakat dan pemuda karang tarurna kampung Cimuncang Desa Karangnunggal mampu mempromosikan destinasi Curug Angkrek lewat sosial media dengan baik sehingga dapat mewujudkan destinasi Curug Angkrek sebagai tempat wisata pilihan masyarakat sekitar maupun masyarakat luas sehingga bisa menjadi sumber ekonomi baru baik bagi pemerintah desa maupun bagi masyarakat kampung Cimuncang.Kata Kunci: Pengembangan Destinassi Wisata, Curug Angkrek, Media Sosial.ABSTRACTThis activity aims to motivate and provide public education in managing and thinking about effective governance to develop tourism potential in the Karangnunggal village, Karangnunggal sub-district, Tasikmalaya regency. The method used is a variety of methods of lectures, discussions and questions and answers, as well as assistance to the community through training. The results of this activity are the community and youth of Tarurna Karang village Cimuncang Karangnunggal village capable of promoting the Currek Angkrek destinations through social media so well that it can realize the destinations of the Curug Angkrek as a tourist choice of the surrounding community and the wider community so that it can become a new economic source for both the village government and the Cimuncang community.Keywords: Tourism Tourism Development, Angkrek Waterfall, Social Media.
Penurunan Parameter Pencemar Limbah Cair Industri Tekstil Secara Koagulasi Flokulasi (Studi Kasus: IPAL Kampung Batik Laweyan, Surakarta, Jawa Tengah, Indonesia)
Authors: Lolo Elvis Umbu , Pambudi Yonathan Suryo
Published: August 2020

The batik home industry of Kampung Laweyan, Surakarta City did not make efforts to prevent environmental pollution from the wastewater produced. Waste water is discharged into the Jenes river, so that the river becomes polluted and contributes to the pollution of the Bengawan Solo River Basin. The study was conducted at the Environmental Laboratory, Environmental Engineering Study Program, Faculty of Engineering, Surakarta Christian University by conducting the coagulation process of flocculation with the jart test. This study uses variations and dosages of the type of FeSO4 and PAC coagulants with levels of 5% each for 100 ml / sec waste discharge. The results of the research are that before the waste is processed by the coagulation process, the value of BOD = 660.28 mg / l and COD = 1600. After the coagulation process, the efficiency of each type of coagulant is with FeSO4, BOD = 85.63% and COD = 82.67 %. With PAC coagulant, BOD = 90.21%, COD = 88.97%. This shows that the ability of PAC to reduce pollutant parameters is greater than ferrous sulfate.
Identifikasi Timbulan dan Analisis Pengelolaan Limbah B3 di Pabrik Kertas PT X
Authors: Wardhani Eka , Rosmeiliyana Rosmeiliyana
Published: August 2020

This study aimed to evaluate the management of toxic hazardous materials (THM) in PT. X. The research method uses a comparison technique between the implementation of THM management with the applicable regulations, namely Republic of Indonesia Government Regulation No. 101/2014 concerning management of THM, Minister of Environment Regulation No. 14/2013 concerning the symbol and label of THM, environmental control agency decision No 1/1995 concerning the storage and collection of THM, and environmental control agency decision 2/1995 concerning THM documents. Based on the research PT X has carried out the management of THM in each production unit that produces THM. The types of THM were produced those are ink sludge, WWTP sludge, fly ash, bottom ash, used chemical packaging, ink cans, electronic waste, mercury lamps, toner, filters, and used refrigerants. The characteristics of THM are toxic, corrosive, highly flammable, and infectious. The biggest amount of THM produced in the WWTP sludge. The company has reused WWTP sludge so that it can reduce the amount of sludge produced by 99.83%. The THM management system at PT X follows the work instruction that has been based on applicable regulations. PT X conducts THM management very well.
Penggunaan Model Pembelajaran Problem Base Learning Untuk Meningkatkan Pemahaman Siswa Kelas XII IPS 1 Mata Pelajaran Ekonomi Materi Akuntansi Sebagai Sistem Informasi Pada SMA Negeri 3 Banda Aceh
Authors: Adawiyah Adawiyah
Published: August 2020

AbstrakPenelitian ini dilakukan di SMA Negeri 3 Banda Aceh selama tiga bulan sejak bulan Juli sampai September 2019 bertujuan untuk meningkatkan pemahaman melalui penggunaan model pembelajaran problem base learning pada materi perdagangan internasional bagi siswa kelas XII IPS 1 SMA Negeri 3 Banda Aceh. Metode penelitian yang digunakan adalah penelitian tindakan kelas (PTK) yang terdiri atas 2 siklus. Subyek penelitian adalah siswa-siswi Kelas XII IPS 1 SMA Negeri 3 Banda Aceh tahun pelajaran 2019/2020 sebanyak 29 siswa. Analisis data menggunakan teknik analisis deskriptif komparatif dengan membandingkan kondisi awal dengan hasil-hasil yang dicapai pada setiap siklus, dan analisis deskriptif kualitatif hasil observasi dengan membandingkan hasil observasi dan refleksi pada siklus I dan siklus 2. Melalui penggunaan model pembelajaran problem base learning pada perdagangan internasional mata pelajaran ekonomi bagi siswa kelas XII IPS 1 pada SMA Negeri 3 Banda Aceh diperoleh hasil tes pada siklus I dengan persentase ketuntasan sebesar 69% nilai rata-rata kelas sebesar 75 dan meningkat pada hasil tes siklus II sebesar 93,1% dengan nilai rata-rata kelas 84,7. Pada kedua siklus ini terjadi perubahan aktifitas dan perolehan nilai yang signifikan bila dibandingkan dengan pra siklus dengan ketuntasan belajar yang hanya mencapai 41,4% dan nilai rata-rata adalah 65,3. Dengan demikian melalui penggunaan model pembelajaran problem base learning dapat meningkatkan pemahaman siswa pada perdagangan internasional bagi siswa kelas XII IPS 1 SMA Negeri 3 Banda Aceh. Selain itu, hasil pengamatan pada proses belajar mengajar memperlihatkan perubahan siswa lebih aktif pada siklus I dan siklus II. Kata Kunci : Model pembelajaran problem base learning, Perdagangan internasional
Upaya Meningkatkan Keterampilan Siswa dalam Menulis Teks Jenis Procedure dengan Menerapkan Metode Mind Map pada Siswa Kelas XI –AP-1 SMK Negeri Penerbangan Aceh Tahun Ajaran 2016/2017
Authors: Susianti, M.Pd Susianti, M.Pd
Published: August 2020

AbstrakHasil observasi pada siswa kelas XI –AP-1 SMK Negeri Penerbangan Aceh menunjukkan bahwa sebagian besar siswa kelas tersebut masih mengalami kesulitan setiap kali guru menugaskan untuk menulis teks procedure, mereka belum paham bagaimana cara menggunakan kata penghubung yang benar dalam sebuah kalimat. Hal tersebut menyebabkan kemampuan siswa dalam menulis teks procedure masih berada dalam kategori kurang. Penelitian ini dilaksanakan dengan tujuan untuk meningkatkan kemampuan menulis teks procedure pada siswa kelas XI - AP-1 SMK Negeri Penerbangan Aceh dengan menggunakan metode Mind Map. Metode penelitian yang digunakan adalah metode deskriptif development. Hasil penelitian menunjukkan adanya peningkatan nilai kemampuan menulis teks procedure pada siswa kelas XI AP-1 SMK Negeri Penerbangan Aceh dengan menggunakan metode Mind Map yaitu : Rata-rata persentase kemampuan menulis siswa sebelum diberi tindakan 21,73% (kurang); 6086% (cukup) pada siklus I dan meningkat menjadi 91,3% (baik sekali) pada siklus II. Begitu pula dengan aktivitas siswa dalam pembelajaran juga mengalami peningkatan dari tahap ke tahap, yakni: 29,6% (cukup) pada tahap awal; 53,58% (baik) pada siklus I dan 71% (baik) pada siklus II.Kata Kunci : Kemampuan, Menulis, Teks procedure, Metode Mind Map.
Peningkatan Prestasi Belajar Seni Budaya Pada Siswa Kelas XI-1 SMA Negeri 4 Banda Aceh Melalui Penerapan Metode Kooperatif Model TGT (Team Games Tournament)
Authors: Yetti Mulyani Yetti
Published: August 2020

AbstrakTujuan dari penelitian ini untuk mengetahui peningkatan Prestasi Belajar Seni Budaya Pada Siswa Kelas XI-1 SMA Negeri 4 Banda Aceh Melalui Penerapan Metode Kooperatif Model TGT (Team Games Tournament). Penelitian ini dilaksanakan pada semester ganjil tahun akademik 2017/2018 di SMA Negeri 4 Banda Aceh. Penelitian ini menggunakan metode deskriptif development, sebab menggambarkan bagaimana suatu metode diterapkan dan bagaimana hasil yang diinginkan dapat dicapai. Subjek dalam penelitian tindakan ini adalah siswa di kelas XI-1 SMA Negeri 4 Banda Aceh yang berjumlah 20 siswa. Pengumpulan data dalam penelitian ini dilakukan melalui metode observasi, metode tes. Penelitian ini terdiri dari 4 tahapan yaitu perencanaan, pelaksanaan kegiatan, pengamatan (observasi) dan refleksi. Hasil penelitian penerapan model pembelajaran kooperatif tipe team games tournament dalam pembelajaran Seni Budaya menunjukan hasil yang positif, dimana siswa menjadi antusias dalam mengikuti pembelajaran, sehingga kualitas pembelajaran Seni Budaya yang dilakukan menjadi lebih baik dibandingkan dengan metode konvensional. Hal tersebut juga ditunjukkan dengan adanya peningkatan pemahaman siswa terhadap materi pada setiap siklus yang menyebabkan prestasi belajar siswa meningkat. Faktor-faktor penghambat yang dialami selama proses pembelajaran adalah siswa yang masih kurang berani atau malu-malu dalam mengungkapkan pendapat yang dimilikinya, siswa juga tidak terbiasa untuk memberikan pertanyaan terkait dengan materi yang disampaikan. Setelah proses pembelajaran dengan menggunakan model pembelajaran kooperatif tipe teams games tournament didapatkan peningkatan prestasi belajar siswa dan hasil kerja kelompok siswa pada setiap siklusnya. Rata-rata kelas yang diperoleh dari akumulasi kelompok mengalami peningkatan rata-rata kelas dari hasil siklus I diperoleh nilai 59,75 dan siklus II 80,25. Kata Kunci : Prestasi Belajar, Seni Budaya, Metode Kooperatif, Model TGT