bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinical significance of serum lncRNA H19, GAS5, HAR1B and linc01783 levels in Parkinson’s disease
Authors: Ozdilek Betul , Kaya Ibrahim Alper , Demircan Berna , Tombul Temel , Ankarali Handan
Published: June 2023

Background and purpose – Long noncoding RNAs (lncRNAs) are highly expressed in the brain and alterations in their levels have been shown in many neurodegenerative disorders. Evidence has shown that lncRNAs play role in the onset and progression of Parkinson’s disease (PD) and it can be used as a potential therapeutic target. Our purpose was to detect whether the serum levels of four candidate lncRNAs H19, GAS5, HAR1B and LINC01783 are related with the clinical findings and treatment of PD or not. Methods – 83 patients and 50 healthy controls were included in this study. We assessed how severe the disease is, by using Hoehn Yahr (HY) staging and Unified PD rating scale (UPDRS). Venous blood samples were taken from the participants. Serum samples were centrifuged and stored at -80°C until analysis. Expression levels of these lncRNAs were analyzed by a real-time PCR instrument after RNA isolation and complementary DNA synthesis in the laboratory. Results – There was no significant difference between PD patients and healthy controls in these lncRNAs’ serum levels. Just as sociodemographic characteristics, also onset type and right or left predominance of the disease, its duration and treatment did not differ in lncRNA levels. Solely, there was a significant negative correlation between GAS5 and HY and UPDRS scores. Patients with family history of PD had significantly higher levels of LINC01783. Conclusion – Serum lncRNA GAS5 level may be a possible biomarker for disease severity in PD patients.
Classification Model Based on U-Net for Crack Detection from Asphalt Pavement Images
Authors: Fujita Yusuke , Tanaka Taisei , Hori Tomoki , Hamamoto Yoshihiko
Published: June 2023

The purpose of our study is to detect cracks accurately from asphalt pavement surface images, which includes unexpected objects, non-uniform illumination, and irregularities in surfaces. We propose a method to construct a classification Convolutional Neural Network (CNN) model based on the pre-trained U-Net, which is a well-known semantic segmentation model. Firstly, we train the U-Net with a limited amount of the asphalt pavement surface dataset which is obtained by a Mobile Mapping System (MMS). Then, we use the encoder of the trained U-Net as a feature extractor to construct a classification model, and train by fine-tuning. We describe comparative evaluations with VGG11, ResNet18, and GoogLeNet as well-known models constructed by transfer learning using ImageNet, which is a large size dataset of natural images. Experimental results show our model has high classification performance, compared to the other models constructed by transfer learning using ImageNet. Our method is effective to construct convolutional neural network model using the limited training dataset.
Fuzzy Image Enhancement Based on an Adjustable Intensifier OperatorFuzzy Image Enhancement Based on an Adjustable Intensifier Operator
Authors: Yang Libao , Zenian Suzelawati , Zakaria Rozaimi
Published: June 2023

Fuzzy image enhancement is an important method in the process of image processing. Fuzzy image enhancement includes steps: gray-level fuzzification, modifying membership using intensifier (INT) operator, and obtaining new gray-levels by defuzzification. This paper proposed an adjustable INT operator with parameter k. Firstly, the image’s pixels are divided into two regions by the OTSU method (low and high region), and calculate the pixels’ membership by fuzzification in each region. Then, the INT operator reduce pixels’ membership in the low region and enlarge pixels’ membership in the high region. The parameter k is determined base on the pixel’s location information (neighborhood information), and plays an adjusting role when the INT operator is working. And finally, the result image is obtained by the defuzzification process. In the experiment results, the fuzzy image enhancement with the adjustable intensifier operator achieves a better performance.
Mobile Dermatoscopy: Class Imbalance Management Based on Blurring Augmentation, Iterative Refining and Cost-Weighted Recall Loss
Authors: Gilal Nauman Ullah , Ahmed Samah Ahmed Mustapha , Schneider Jens , Househ Mowafa , Agus Marco
Published: June 2023

We present an end-to-end framework for real-time melanoma detection on mole images acquired with mobile devices equipped with off-the-shelf magnifying lens. We trained our models by using transfer learning through EfficientNet convolutional neural networks by using public domain The International Skin Imaging Collaboration (ISIC)-2019 and ISIC-2020 datasets. To reduce the class imbalance issue, we integrated the standard training pipeline with schemes for effective data balance using oversampling and iterative cleaning through loss ranking. We also introduce a blurring scheme able to emulate the aberrations produced by commonly available magnifying lenses, and a novel loss function incorporating the difference in cost between false positive (melanoma misses) and false negative (benignant misses) predictions. Through preliminary experiments, we show that our framework is able to create models for real-time mobile inference with controlled tradeoff between false positive rate and false negative rate. The obtained performances on ISIC-2020 dataset are the following: accuracy 96.9%, balanced accuracy 98%, ROCAUC=0.98, benign recall 97.7%, malignant recall 97.2%.
Multiclass Classification of Paddy Leaf Diseases Using Random Forest Classifier
Authors: Saminathan K , Sowmiya B , Chithra Devi M
Published: June 2023

With increase in population, improving the quality and quantity of food is essential. Paddy is a vital food crop serving numerous people in various continents of the world. The yield of paddy is affected by numerous factors. Early diagnosis of disease is needed to prevent the plants from successive stage of disease. Manual diagnosis by naked eye is the traditional method widely adopted by farmers to identify leaf diseases. However, when the task involves manual disease diagnosis, problems like the hiring of domain experts, time consumption, and inaccurate results will arise. Inconsistent results may lead to improper treatment of plants. To overcome this problem, automatic disease diagnosis is proposed by researchers. This will help the farmers to accurately diagnose the disease swiftly without the need for expert. This manuscript develops model to classify four types of paddy leaf diseases bacterial blight, blast, tungro and brown spot. To begin with, the image is preprocessed by resizing and conversion to RGB Red, Green and Blue (RGB) and Hue, Saturation and Value (HSV) color space. Segmentation is done. Global features namely: hu moments, Haralick and color histogram are extracted and concatenated. Data is split in to training part and testing part in 70:30 ratios. Images are trained using multiple classifiers like Logistic Regression, Random Forest Classifier, Decision Tree Classifier, K-Nearest Neighbor (KNN) Classifier, Linear Discriminant Analysis (LDA),Support Vector Machine (SVM) and Gaussian Naive Bayes. This study reports Random Forest classifier as the best classifier. The Accuracy of the proposed model gained 92.84% after validation and 97.62% after testing using paddy disordered samples. 10 fold cross validation is performed. Performance of classification algorithms is measured using confusion matrix with precision, recall, F1- score and support as parameters.
Disease Detection of Solanaceous Crops Using Deep Learning for Robot Vision
Authors: Hidayah A.  H. Nurul , Ahmad Radzi Syafeeza , Razak Norazlina Abdul , Saad Wira Hidayat Mohd , Wong Y. C. , Naja A. Azureen
Published: June 2023

Traditionally, the farmers manage the crops from the early growth stage until the mature harvest stage by manually identifying and monitoring plant diseases, nutrient deficiencies, controlled irrigation, and controlled fertilizers and pesticides. Even the farmers have difficulty detecting crop diseases using their naked eyes due to several similar crop diseases. Identifying the correct diseases is crucial since it can improve the quality and quantity of crop production. With the advent of Artificial Intelligence (AI) technology, all crop-managing tasks can be automated using a robot that mimics a farmer's ability. However, designing a robot with human capability, especially in detecting the crop's diseases in real-time, is another challenge to consider. Other research works are focusing on improving the mean average precision and the best result reported so far is 93% of mean Average Precision (mAP) by YOLOv5. This paper focuses on object detection of the Convolutional Neural Network (CNN) architecture-based to detect the disease of solanaceous crops for robot vision. This study's contribution involved reporting the developmental specifics and a suggested solution for issues that appear along with the conducted study. In addition, the output of this study is expected to become the algorithm of the robot's vision. This study uses images of four crops (tomato, potato, eggplant, and pepper), including 23 classes of healthy and diseased crops infected on the leaf and fruits. The dataset utilized combines the public dataset (PlantVillage) and self-collected samples. The total dataset of all 23 classes is 16580 images divided into three parts: training set, validation set, and testing set. The dataset used for training is 88% of the total dataset (15000 images), 8% of the dataset performed a validation process (1400 images), and the rest of the 4% dataset is for the test process (699 images). The performances of YOLOv5 were more robust in terms of 94.2% mAP, and the speed was slightly faster than Scaled-YOLOv4. This object detection-based approach has proven to be a promising solution in efficiently detecting crop disease in real-time.
Design and Modeling of 9 Degrees of Freedom Redundant Robotic Manipulator
Authors: Anjum Zuha , Samo Saifullah , Nighat Arbab , Nisa Akhtar Un , Soomro Muhammad Ali , Alayi Reza
Published: June 2023

In disaster areas, robot manipulators are used to rescue and clearance of sites. Because of the damaged area, they encounter disturbances like obstacles, and limited workspace to explore the area and to achieve the location of the victims. Increasing the degrees of freedom is required to boost the adaptability of manipulators to avoid disturbances, and to obtain the fast desired position and precise movements of the end-effector. These robot manipulators offer a reliable way to handle the barrier challenges since they can search in places that humans can't reach. In this research paper, the 9-DOF robotic manipulator is designed, and an analytical model is developed to examine the system’s behavior in different scenarios. The kinematic and dynamic representation of the proposed model is analyzed to obtain the translation or rotation, and joint torques to achieve the expected position, velocity, and acceleration respectively. The number of degrees may be raised to avoid disturbances, and to obtain the fast desired position and precise movements of the end-effector. The simulation of developed models is performed to ensure the adaptable movement of the manipulators working in distinct configurations and controlling their motion thoroughly and effectively. In the proposed configuration the joints can easily be moved to achieve the desired position of the end-effector and the results are satisfactory. The simulation results show that the redundant manipulator achieves the victim location with various configurations of the manipulator. Results reveal the effectiveness and efficacy of the proposed system.
Control of Flexible Manipulator Robots Based on Dynamic Confined Space of Velocities: Dynamic Programming Approach
Authors: Peña Fernández César A.
Published: June 2023

Linear Parameter Varying models-based Model Predictive Control (LPV-MPC) has stood out in manipulator robots because it presents well-rejection to dynamic uncertainties in flexible joints. However, it has become too weak when the MPC's optimization problem does not include kinematic constraints-based conditions. This paper uses dynamic confined space of velocities (DCSV) to include these conditions as a recursive polytopic constraint, guaranteeing optimal dependency on a simplex scheduling parameter. To this end, the local frame's velocities and torque/force preload of joints (related to violation of kinematic constraints) are associated with different time scale dynamics such that DCSV correlates them as a polytope. So, a classical LPV-MPC will be updated using a dynamic programming approach according to the DCSV-based polytope. As a result, one lemma about DCSV-based recursive polytope and a five-step procedure for two decoupled close-loop schemes with different time scales compose the LPV-MPC proposed method. Numerical validation shows that even for relevant flexibility situations, trajectory tracking performance is improved by tuning finite horizons and optimization problem constraints regarding DCSV's behavior.
Design of Multivariate PID Controller for Power Networks Using GEA and PSO
Authors: Zadehbagheri Mahmoud , Ma'arif Alfian , Ildarabadi Rahim , Ansarifard Mehdi , Suwarno Iswanto
Published: June 2023

The issue of proper modeling and control for industrial systems is one of the challenging issues in the industry. In addition, in recent years, PID controller design for linear systems has been widely considered. The topic discussed in some of the articles is mostly speed control in the field of electric machines, where various algorithms have been used to optimize the considered controller, and always one of the most important challenges in this field is designing a controller with a high degree of freedom. In these researches, the focus is more on searching for an algorithm with more optimal results than others in order to estimate the parameters in a more appropriate way. There are many techniques for designing a PID controller. Among these methods, meta-innovative methods have been widely studied. In addition, the effectiveness of these methods in controlling systems has been proven. In this paper, a new method for grid control is discussed. In this method, the PID controller is used to control the power systems, which can be controlled more effectively, so that this controller has four parameters, and to determine these parameters, the optimization method and evolutionary algorithms of genetics (EGA) and PSO are used.  One of the most important advantages of these algorithms is their high speed and accuracy. In this article, these algorithms have been tested on a single-machine system, so that the single-machine system model is presented first, then the PID controller components will be examined. In the following, according to the transformation function matrix and the relative gain matrix, suitable inputs for each of the outputs are determined. At the end, an algorithm for designing PID controller for multivariable MIMO systems is presented. To show the effectiveness of the proposed controller, a simulation was performed in the MATLAB environment and the results of the simulations show the effectiveness of the proposed controller.
A Novel Improved Sea-Horse Optimizer for Tuning Parameter Power System Stabilizer
Authors: Aribowo Widi
Published: June 2023

Power system stabilizer (PSS) is applied to dampen system oscillations so that the frequency does not deviate beyond tolerance. PSS parameter tuning is increasingly difficult when dealing with complex and nonlinear systems. This paper presents a novel hybrid algorithm developed from incorporating chaotic maps into the sea-horse optimizer. The algorithm developed is called the chaotic sea-horse optimizer (CSHO). The proposed method is adopted from the metaheuristic method, namely the sea-horse optimizer (SHO). The SHO is a method that duplicates the life of a sea-horse in the ocean when it moves, looks for prey and breeds.  In This paper, The CSHO method is used to tune the power system stabilizer parameters on a single machine system. The proposed method validates the benchmark function and performance on a single machine system against transient response. Several metaheuristic methods are used as a comparison to determine the effectiveness and efficiency of the proposed method. From the research, it was found that the application of the logistics Tent map from the chaotic map showed optimal performance. In addition, the application of the PSS shows effective and efficient performance in reducing overshoot in transient conditions.
Modelling and Simulation of a Redundant Agricultural Manipulator with Virtual Prototyping
Authors: Reddy A. Sridhar , Chembuly V. V. M. J. Satish , Rao V. V. S. Kesava
Published: June 2023

The development of autonomous robots for agricultural applications includes motion planning, fruit picking, and collision avoidance with surrounding environments, and these become challenging tasks. For harvesting applications, robust control of the manipulator is needed for the effective motion of the robot. Several combinations of Proportional(P)- Integrative(I)- Derivative(D) controllers are modelled and a simulation study was performed for trajectory tracking of a redundant manipulator in virtual agricultural environments. The article presents a comprehensive study on kinematic modelling and dynamic control of redundant manipulator for fruit-picking applications in virtual environments. The collisions with surrounding environment were eliminated using ‘bounding box technique’. The joint variables are obtained by constructing Inverse Kinematics (IK) problem and are determined using a classical optimization technique. Different controllers are modelled in the ‘Simulink’ environment and are tuned to generate error-free trajectory tracking during harvesting. The task space locations (TSLs) are considered as via-points, and joint variables at each TSLs are obtained by Sequential Quadratic Programming (SQP) technique. Joint-level trajectories are generated using Quintic and B-spline polynomials. For effective trajectory tracking, torque variations are controlled using the PID and Feedforward (FF) controller. The dynamic simulations of the robot manipulator are performed in Simscape Multibody software. Results show that the during the trajectory tracking of the manipulator, the Feed-forward controller performs best with Quintic polynomial trajectory.
Validation of Quad Tail-sitter VTOL UAV Model in Fixed Wing Mode
Authors: Priyambodo Tri Kuntoro , Majid Abdul , Shouran Zaied Saad Salem
Published: June 2023

Vertical take-off and landing (VTOL) is a type of unmanned aerial vehicle (UAV) that is growing rapidly because its ability to take off and land anywhere in tight spaces. One type of VTOL UAV, the tail-sitter, has the best efficiency. However, besides the efficiency offered, some challenges must still be overcome, including the complexity of combining the ability to hover like a helicopter and fly horizontally like a fixed-wing aircraft. This research has two contributions: in the form of how the analytical model is generated and the tools used (specifically for the small VTOL quad tail-sitter UAV) and how to utilize off-the-shelf components for UAV empirical modeling. This research focuses on increasing the speed and accuracy of the UAV VTOL control design in fixed-wing mode. The first step is to carry out analysis and simulation. The model is analytically obtained using OpenVSP in longitudinal and lateral modes. The next step is to realize this analytical model for both the aircraft and the controls. The third step is to measure the flight characteristics of the aircraft. Based on the data recorded during flights, an empirical model is made using system identification technique. The final step is to vali-date the analytical model with the empirical model. The results show that the characteristics of the analytical mode fulfill the specified requirements and are close to the empirical model. Thus, it can be concluded that the analytical model can be implemented directly, and consequently, the VTOL UAV design and development process has been shortened.
Synthesis of Hybrid Fuzzy Logic Law for Stable Control of Magnetic Levitation System
Authors: Chiem Nguyen Xuan , Thang Le Tran
Published: June 2023

In this paper, we present a method to design a hybrid fuzzy logic controller (FLC) for a magnetic levitation system (MLS) based on the linear feedforward control method combined with FLC. MLS has many applications in industry, transportation, but the system is strongly nonlinear and unstable at equilibrium. The fast response linear control law ensures that the ball is kept at the desired point, but does not remain stable at that point in the presence of noise or deviation from the desired position. The controller that combines linear feedforward control and FLC is designed to ensure ball stability and increase the system's fast-response when deviating from equilibrium and improve control quality. Simulation results in the presence of noise show that the proposed control law has a fast and stable effect on external noise. The advantages of the proposed controller are shown through the comparison results with conventional PID and FLC control laws.
Adaptive P Control and Adaptive Fuzzy Logic Controller with Expert System Implementation for Robotic Manipulator Application
Authors: Chotikunnan Phichitphon , Pititheeraphab Yutthana
Published: June 2023

This study aims to develop an expert system implementation of P controller and fuzzy logic controller to address issues related to improper control input estimation, which can arise from incorrect gain values or unsuitable rule-based designs. The research focuses on improving the control input adaptation by using an expert system to resolve the adjustment issues of the P controller and fuzzy logic controller. The methodology involves designing an expert system that captures error signals within the system and adjusts the gain to enhance the control input estimation from the main controller. In this study, the P controller and fuzzy logic controller were regulated, and the system was tested using step input signals with small values and larger than the saturation limit defined in the design. The PID controller used CHR tuning to least overshoot, determining the system's gain. The tests were conducted using different step input values and saturation limits, providing a comprehensive analysis of the controller's performance. The results demonstrated that the adaptive fuzzy logic controller performed well in terms of %OS and settling time values in system control, followed by the fuzzy logic controller, adaptive P controller, and P controller. The adaptive P controller showed similar control capabilities during input saturation, as long as it did not exceed 100% of the designed rule base. The study emphasizes the importance of incorporating expert systems into control input estimation in the main controller to enhance the system efficiency compared to the original system, and further improvements can be achieved if the main processing system already possesses adequate control ability. This research contributes to the development of more intelligent control systems by integrating expert systems with P controllers and fuzzy logic controllers, addressing the limitations of traditional control systems and improving their overall performance.
Effect of Fenvalerate Toxicity on Biochemical and Haematological Parameters and Ameliorative Effect of Quinoa Seeds in Swiss Albino Mice
Authors: Shahani Lata , Gupta Hansa , Chauhan Radhika
Published: June 2023

Fenvalerate is a synthetic pyrethroid insecticide with moderate mammalian toxicity. It affects the central nervous system and is used for the control of flies and ticks in barns and stables. Exposure of this insecticide to humans occurs in the field. The present study was conducted to observe the toxicity of insecticide on biochemical and blood parameters after treatment with fenvalerate, a synthetic pyrethroid and find out the possible protective role of Quinoa seeds in Swiss albino mice. The mice in this study were divided into 5 groups, and 6 animals were taken into each group. Group A control mice received vehicle distilled water only. Group B and C were administered with fenvalerate at 12.5 and 25 mg/kg body weight respectively for 30 days. Group D was administered 12.5 mg/kg fenvalerate +25 mg/kg Quinoa seeds and Group E received 25 mg/kg fenvalerate +50 mg/kg Quinoa seeds. Fenvalerate treatment resulted in a significant increase in the levels of alkaline phosphatase, acid phosphatase, Serum Glutamate Pyruvate Transaminase (SGPT) and Serum Glutamate Oxaloacetate Transaminase (SGOT). Administration of Quinoa seeds along with fenvalerate resulted in a decrease in these biochemical values. A significant increase in the number of RBC, WBC and haemoglobin was observed in the fenvalerate-treated groups. The result suggests a possible protective role of Quinoa seeds on fenvalerate toxicity.
Clinico-Epidemiological Study of Snake Bite Presenting to the Emergency Department of a Tertiary Care Hospital
Authors: Arjun H. M. , Shinde Varsha , Bhattaram Suhrith , Shaikh Zahid
Published: June 2023

Snakebite is an acute, life-threatening condition which is most commonly faced by the rural population of tropical countries. About 1.2 million deaths related to snake bites are reported from the Indian subcontinent adding a major part to the global burden towards snake bite mortality. Maharashtra reported the highest number of snake bite cases in the year 2019. A retrospective study was carried out at the emergency department from April 1st, 2020 to June 30th, 2021. Data regarding demographic factors, clinical features, complications, details of treatment received and outcomes of the snake bite victims were recorded. A total of 103 patients with snake bites were admitted, 71.84% were males, and the mean age group was 31.68 years. 26% of the cases were reported during the month of June, and 68% of the bites were reported between 12:00 pm to 12:00 am. 62.14% had bites over their lower limbs, and 31.07% of them were farmers. 47.57% had local pain. 59.22% were dry bites out of which 17.47% received an incomplete dose of Antisnakevenom (ASV) from referring hospitals. 17.47% manifested with neurological symptoms. Our study suggested that farmers, children, women and labourers are the most vulnerable groups affected. There is still a lack of knowledge among healthcare workers regarding the use of ASV.
Synergistic Effect of Caffeine in B16f10 Cells in Combination with Doxorubicin and Oxaliplatin
Authors: Yerragopu Anil Kumar , Chitra V. , Kumar K. Ravi
Published: June 2023

Caffeine is a commonly consumed psychoactive substance that has been shown to have various effects on cellular processes, including cell growth and survival. In this study, we investigated the potential of Caffeine to enhance the cytotoxic effects of two commonly used chemotherapeutic agents, doxorubicin and oxaliplatin, on B16F10 cells. We evaluated the cytotoxicity, calculated the IC50 and combination index of the medications, estimated the cell cycle of the cells, and evaluated the apoptotic and anti-apoptotic genes through gene expression analysis. Our results demonstrated that Caffeine significantly potentiated the cytotoxicity of both doxorubicin and oxaliplatin, resulting in a more significant reduction in cell viability compared to treatment with the chemotherapeutic agents alone. Additionally, Caffeine also enhanced the pro-apoptotic effects of the chemotherapeutic agents, leading to increased levels of apoptosis in the B16F10 cells. The combination of doxorubicin and oxaliplatin with Caffeine was found to be synergistic. These findings suggest that caffeine may have the potential to improve the efficacy of current chemotherapeutic regimens and may offer a novel approach to enhance cancer treatment.
Improving Students' Activities and Achievement Using the Themed Worksheets Through Discovery Learning
Authors: Chandra Permana Adhitya
Published: June 2023

Preliminary studies showed the low activity of students in science learning with classical learning completeness of 22%. This study aimed to improve students’ learning activities and learning achievements through discovery learning assisted by themed worksheets. This study improved previous research related to the implementation of discovery learning to improve the learning quality. The research was designed using the classroom action research method and was carried out in three cycles, involving 32 second grade students of secondary school. Experts validated interview, observation, and questionnaire sheets, and the test items were validated statistically. This study showed that discovery learning assisted by themed worksheets improved the average student activity to 93% and the average science learning achievements to 71.61% with a classical completeness rate of 78%. Students also accepted the themed worksheets with very high satisfaction. This study did not examine the students’ character, the correlation between activity data and student learning discovery, neither did it accommodate students with special needs. These results can be a reference for teachers to improve the quality of learning, especially for schools in rural areas that have limited technological infrastructure.
Keywords: class action research, discovery learning, learning achievements, students’ activities, themed worksheets
Innovation of an Integrated Ticker Timer Learning Media to Support Inquiry-based Physical Learning in Kinematics Competence for Senior High School
Authors: Supriana Edi , . Parno , Suyudi Agus , Abdul Hadi Bin Bunyamin Muhammad
Published: June 2023

Physics learning for kinematics sub-competence in high schools is expected to use a scientific approach by means of inquiry-based learning models. In order to implement the scientific approach for learning kinematics, we need an integrated good-quality ticker timer in such a way that students are able to observe straight-line motion phenomena. In this study, we have developed an integrated ticker timer with the following characteristics: valid, efficient, easy, safe, high durability, and visually eye-catching. As a result, our integrated ticker timer have the same frequency with better temperance and 2.30% margin of errors compared to commercial ticker timer. In addition, our developed ticker timer only requires a relatively small electrical power. Furthermore, the integrated ticker timer as an innovative learning medium can improve better performance in physics teaching and learning process, with these characteristics: (1) fast to obtain measurement data, precise and accurate; (2) easy to use, safe, and high durability; (3) able to help and motivate teachers and students to learn kinematics.
Keywords: ticker timer, learning media, inquiry-based, kinematics competence
Teacher Professional Education Curriculum Reconstruction (PPG) (An Overview of the Integration Between Nasr's Perennialism with Tri Education Center KH. Dewantara)
Authors: Smith George , Arent Ease , Thesalonika Emelda
Published: June 2023

Along with the shift from the manual era to the digital era, it has an impact on the quality of learning, especially increasing teacher qualifications. Future teachers need more expertise than traditional learning. They not only have pedagogical abilities but also spiritual and moral characters. The government seeks to produce future teacher candidates through teacher professional training (PPG). From the observations related to the PPG curriculum, it shows unpreparedness. This can be seen through the PPG curriculum which is still the same as S-1 education. In fact, according to the KKNI, the profession has a higher level than S-1, so PPG must have a distinctive feature that distinguishes it from graduates of S-1 education. PPG should not only circumvent the pedagogical section as a characterization of PPG. Therefore, there are at least 6 things that need to be considered regarding the formation of future teacher candidates through the PPG program, namely, 1) the history of teacher formation in Indonesia, 2) the challenges of the times, 4) how to teach students, 5) reformulating the PPG curriculum according to needs. future, and 6) the urgency of the PPG Curriculum.
Keywords: Pendidikan profesi guru, curriculum, future
How to Improve Students Learning Outcomes Using Problem-based Learning with Hypnoteaching Method
Authors: Devi Istiqomah Tiasaka , Eni Lestari Trianingsih , Dewi Puspitasari Elisa
Published: June 2023

Paradigm of learning began to change according to the current development. Students will have to start with more complex problems and require good abilities and skills. One of the efforts that teacher can do is to choose the right learning model and method for students. Selection of learning models is adjusted to the characteristics of students based on the results of the diagnostic assessment. Diagnostic assessment is used to see the characteristics of students and determine the appropriate treatment for these students. The appropriate learning model is problem-based learning. Problem-based learning uses problems as learning media; and serves students to actively think, communicate, search and process data, and draw conclusions from a problem. The learning method used is hypnoteaching. Hypnoteaching is used to make learning more interesting and fun. The advantage of hypnoteaching method can create a supportive learning atmosphere by giving positive suggestions to students. This study uses classroom action research in only one class with 2 cycles. Data collection is done by observation to see learning activities and tests to see an increase in student learning outcomes.
Keywords: problem-based learning, classroom action research, hypnoteaching method, learning outcomes
The Innovation of Virtual Tour of Malang State University Learning Museum as an Alternative for Educational Tourism in the Disruptive Era
Authors: Nafi'ah Ulfatun , Sapto Ari , Sayono Joko , Herdiyani Aulia , Smith George
Published: June 2023

Advances in technology and information have become a stimulus for life changes, including digitalization and the internet of things. These two things linearly then motivate researchers to present an innovation virtual museum tour. The aim of the researcher is to present this innovation to assist in the process of developing educational tourism in Indonesia, especially for the UM Learning Museum. In addition, this innovation is also carried out with the aim of bringing the museum closer as one of the media for inheriting culture to the community through the help of advances in technology and information. The virtual tour innovation is also carried out with the aim of stimulating the development of innovation through enriching essence and behavioral intention. In order to facilitate efforts to achieve these goals, the research and development method from Borg and Gall has been modified. Through this method, it was found that the virtual tour innovation of the UM Learning Museum has many benefits for visitors, such as the experience of exploring independently and interactively. Other benefits obtained from the virtual tour of the UM Learning Museum include getting new information and knowledge and developing behavioral intentions to support the existence of the UM Learning Museum for the community.
Keywords: learning media, innovation, virtual tour, UM Learning Museum
Stem Approach to Recognition of Fractions with Traditional Anglek
Authors: . Mudrikah , Alfan M. , Kuncoro Tri
Published: June 2023

This research was conducted to find the easiest solution in mathematics lessons about fraction recognition. With STEM learning which is an acronym for Science, Technology, Engineering, and Mathematics, fractional material is integrated into it with traditional engklek (paying) media. Through a qualitative descriptive study with research subjects of 3rd-grade students at Tegalweru Public Elementary School, Dau District, totaling 23 people, the results were obtained by research: (1) development of design skills; (2) development of collaboration and communication skills; (3) improvement of cognitive abilities about fractions; (4) increasing obedience to rules; and (5) developing motor skills.
Keywords: traditional games, Engklek, STEM, fraction
Analysis of Problem-solving Ability of SDN Dinoyo 3 Malang Students in Inquiry Learning
Authors: Yusella Yeni , Khoiroh Makrifatul , Setyosari Punaji , Alfan Muhammad
Published: June 2023

This study aims to find out about the role of the scientific inquiry learning model in students’ problem-solving ability in science material for elementary school students. The method used in this research is descriptive qualitative research method. The place for this research is SDN Dinoyo 3 , Malang. The study was carried out on a total of 27e fourth grade students. Data were collected through observation, interviews, and documentation. The data analysis were done using data reduction, data presentation, and data verification. The results of this study indicated that the learning process that applies the scientific inquiry learning model is more efficient for problem-solving ability. Students in the scientific inquiry learning model will play an active role in the process of learning activities, where they are required to be able to solve the given problems. Based on the results of student tests and discussions, it can be concluded that the level of problem-solving ability of students of SDN Dinoyo 3 Malang needs to be improved. Factors that affect students’ problem-solving ability are, students’ lack of accuracy in doing questions, students rarely do questions that are oriented toward problem-solving ability, and lack of mastery of the concept of the topic of hydrology cycle from students. The implications of this study can provide information about the level of students’ problem-solving ability on the indicators displayed. This research is only limited to analysis to determine students’ problem-solving ability, so it is hoped that further research can be carried out which includes the development of learning instruments that can support students’ problem-solving ability.
Keywords: problem solving, inquiry, learning, hydrology cycle
The Application of the Discovery Learning Model to Create Learning Activities for Linear Program Materials for Class XI A-3 Students of SMAN 3 Malang
Authors: Smith George , Agung Santoso Galih , Irawati Santi , Harini Sri
Published: June 2023

Based on the observations of researchers during learning and interviews with tutors, it was found that the activeness of students was still low. The solution to this problem is to apply the discovery learning model. This research is a classroom-action research with the aim of describing the steps of the discovery learning model that can lead to active learning of students. Based on the results of the research that has been carried out, it is known that there is an increase in the value from cycle 1 to cycle 2. Based on observations, the percentage of teacher activity and student learning activity in cycle 2 was better than cycle I. The percentage of teacher activity in cycle 1 was 80% while the percentage of teacher activity in cycle 2 was 90%. The percentage of active learning of students in the first cycle was 72%, while the percentage of student activity in the second cycle was 87%. Based on the results of the first cycle quiz shows the percentage of completion as high as 46%. While in cycle 2, the percentage of completion was 89%. This represents an increase of 43%.
Keywords: learning activity, discovery learning
Student Literacy Skills on Academic Performance as the Implication of Online Learning to University Students
Authors: Ulfaika Romlah , . Ridwan , Firdausya Arfa
Published: June 2023

The students’ literacy skills and some external factors that affect the student’s academic achievements demand a considerable improvement in practice, making it an undeniable context within which to examine the implementation of the literacy strategy in teaching. This study looked into how students’ literacy skills changed after they used an online learning system, as well as what their primary literacy skills were. This study used a survey approach and aimed to collect the data from students about their literacy skills. There are three aspects which are described and found, they are the aspects of explaining scientific phenomena (with the total score of 8.59 points and an average score of competency as 2.86 points, which is in a good category), identifying scientific issues (the total score of each indicator was 9.18 points and the average score of the competency was 3.06, which categorized as a good category) and interpreting and using scientific evidence (the total score was 8.93 points and the average score of the competency was 2.97 which categorized as a good category). It is feasible to conclude that every aspect of the information literacy skill of University of Borneo Tarakan students’ in their academic activities was fairly good. The score in each indicator of competencies were varied, but still, show a stagnant value and serve as evidence for the assessment of students’ information literacy skills.
Keywords: literacy skills, academic performance, scientific
The Implementation of Problem-based Learning (PBL) to Improve Contextual Mathematics Problem-solving Ability in Students XI-B3 Senior High School 3 Malang
Authors: Nur Azizah Husnun , Tri Oktoviana Lucky , Harini Sri
Published: June 2023

Based on the results of the dialog by a researcher with a mathematics teacher of grade XI-B3 Senior High School 3 Malang, most students in the class had difficulty solving the contextual problem. This fact was also supported by the result of preliminary research in grade XI-B3 Senior High School 3 Malang, which shows the students also found difficulty when converting contextual problems into mathematical form and determining which concepts should be used in solving the problem. Therefore, a renewal strategy and learning model were needed to improve students’ ability to solve contextual problems, for example, by using the learning model problem-based learning (PBL). This research aims to describe learning steps using the PBL model that can improve the contextual problem-solving abilities of XI-B3 students at SMA Negeri 3 Malang. The type of research is classroom action research, which is carried out in 2 cycles. Each cycle consists of 4 stages, planning, action, observation, and reflection. The research was conducted in class XI-B3 of SMA Negeri 3 Malang with 36 students as subjects consisting of 14 boys and 22 girls. The results of the research in cycle 1 showed that students who were able to solve mathematical contextual problems increased from 52.9% to 76.4% in cycle 2 or increased by 23.5%. The results of observing teacher activities and observing student activities have increased and are in the ”Very Good” category. It can be concluded that the use of the PBL model can improve students’ mathematical contextual problem-solving abilities.
Keywords: mathematics learning model, PBL, contextual issues, classroom action research
The Development of Family 10 Learning Model to Improve Social Studies Outcomes for 5th Grade
Authors: Divina P Amina , Rosyada Mahmud Dini , Setyosari Punaji , Alfan Muhammad
Published: June 2023

The family 10 learning model is a learning model designed based on active and fun team quiz-based cooperative learning. This study aims to describe the effectiveness of the Family 10 model to improving student learning outcomes in class V social studies content. This research is a research and development type carried out in Sampang District. The results of the study support that the Family 10 learning model can improve student learning outcomes based on the results of data analysis which shows a significant difference between the KKM (minimum completeness criteria) score and the value after the Family 10 model is applied.
Keywords: Learning model Class V Innovation Social Studies
Optimizing Local History Learning with The Saloka Application
Authors: Nurfahrul Lukmanul Khakim Moch. , Djoko Sulistyo Wahyu , . Yuliati
Published: June 2023

This study develops an android-based augmented reality catalog model application. The catalog form was chosen because of the large amount of cultural heritage information that is important to research and document through the application. The results of this cultural heritage research will be packaged in an interactive application that is expected to help history teachers in teaching the history of Lamongan in an interesting way. The virtual catalog application is designed to be a pioneer of historical and cultural information for the Lamongan community and its surroundings. Plus the COVID-19 outbreak that is still hitting Indonesia, this application offers free and safe roaming of virtual cultural heritage. This research method includes the historical method to examine all cultural heritage as teaching materials and the ADDIE-based development method to develop the SALOKA application. The targets of this research are students, teachers, academics, and the community in Lamongan. In particular, this application is expected to help history teachers to teach local cultural/historical heritage to students in Lamongan so that learning is more interesting.
Keywords: virtual catalog, learning history, lamongan, heritage
An exploration of teachers' epistemological belief: A case from in-service and pre-service physics teachers in Bengkulu
Authors: Munfaridah Nuril , Adiguna Sapta , Purwaningsih Endang
Published: June 2023

Epistemological belief is a belief, knowledge, and coaching value that is useful for creating a student learning environment to increase the belief and value system towards knowledge, learning, and teaching. However, there is a few explorations in the context of in-service and pre-service physics teacher. The aim of this study is to explore the epistemological beliefs of in-service and pre-service physics teachers based on their time period in teaching experience. This study used a mixed-method with a model explanatory sequential design. The quantitative data were collected through science epistemological belief questionnaires (n = 23) and the qualitative data were collected through interviews with teachers (n = 6) about their epistemological beliefs. Data were analyzed through descriptive statistic and a content analysis. The result from the quantitative data is that epistemological beliefs of in-service and preserving physics teachers are in a good category and the qualitative data showed that most of the in-service and pre-service teachers have epistemological beliefs on the transitional and instructive levels. The findings of this study can be considered in developing the teacher’s professionalism to have better physics classroom teaching and learning practice.
Keywords: Epistemological Belief Physics Education In-service Teacher Pre-service Teacher