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PENGARUH MODEL PEMBELAJARAN INKUIRI TERHADAP HASIL BELAJAR IPA SISWA KELAS IVSDNEGERI REJOWINANGUN IYOGYAKARTA Agesy, Famela Indah; Budhi, Widodo; Utaminingsih, Retno
TRIHAYU: Jurnal Pendidikan Ke-SD-an Vol 6, No 2 (2020)
Publisher : Universitas Sarjanawiyata Tamansiswa

The purpose of this research was to determine the differences in students learning result between who apply inquiry learning models and expository models. This research is experimental research. The research design used is a nonequivalent control group. The sampling technique is done by random sampling. The analysis prerequisite test is the distribution normality test and variance homogeneity. Based on the results of data analysis, obtained tcount = 2.332 with p = 0.0024 <0.01, so the hypothesis is accepted. Thus it can be concluded that there are very significant student differences learning result in grade IV SD Negeri Rejowinangun I Yogyakarta between those who apply the inquiry learning model and the expository learning model. The mean score of the science learning result of students who applied the inquiry learning model 16.03 was higher than the expository learning model 12.74. It means that there is an influence of the inquiry learning model on the learning result of Natural Sciences students in grade IV SD Negeri Rejowinangun I Yogyakarta.

THE SEGMENTATION OF NEUTRON DIGITAL RADIOGRAPHY IMAGE THROUGH THE EDGE DETECTION METHOD Amalia, Ayu Fitri; Budhi, Widodo
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol 10, No 1 (2020): Articles in Press
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v10n1.p%p

The digital image processing is one way to manipulate one or more digital images. Image segmentation has an essential role in the field of image analysis. The aim of this study was to develop an application to perform digital image processing of neutron digital radiographic images, hoping to improve the image quality of the digital images produced. The quality of edge detection could be used for the introduction of neutron digital radiographic image patterns through artificial intelligence. Interaction of neutrons with the matter mainly by nuclear reaction, elastic and inelastic scattering. A neutron can quickly enter into a nucleus of an atom and cause a reaction. It is because a neutron has no charge. Neutrons can be used for digital imaging due to high-resolution information from deep layers of the material. The attenuated neutron beam in neutron radiography are passing through the investigated object. The object in a uniform neutron beam is irradiated to obtain an image neutron. The technique used in segmenting the neutron radiography in this study was a digital technique using a camera with a charge-coupled device (CCD), which was deemed more efficient technique compared to the conventional one. Through this technique, images could be displayed directly on the monitor without going through the film washing process. Edge detection methods were implemented in the algorithm program. It was the first step to complement the image information where edges characterize object boundaries. It is useful for the process of segmenting and identifying objects in neutron digital radiography images. The edge detection method used in this study was Sobel, Prewitt, Canny, and Laplacian of Gaussian. According to the results of the image that have been tested for edge detection, the best image was carried out by the Canny operator because the method is more explicit. The obtained edges were more connected than the other methods which are still broken. The Canny provided edge gradient orientation which resulted in a proper localization.

THE SEGMENTATION OF NEUTRON DIGITAL RADIOGRAPHY IMAGE THROUGH THE EDGE DETECTION METHOD Amalia, Ayu Fitri; Budhi, Widodo
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol 10, No 1 (2020): Articles in Press
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v10n1.p%p

The digital image processing is one way to manipulate one or more digital images. Image segmentation has an essential role in the field of image analysis. The aim of this study was to develop an application to perform digital image processing of neutron digital radiographic images, hoping to improve the image quality of the digital images produced. The quality of edge detection could be used for the introduction of neutron digital radiographic image patterns through artificial intelligence. Interaction of neutrons with the matter mainly by nuclear reaction, elastic and inelastic scattering. A neutron can quickly enter into a nucleus of an atom and cause a reaction. It is because a neutron has no charge. Neutrons can be used for digital imaging due to high-resolution information from deep layers of the material. The attenuated neutron beam in neutron radiography are passing through the investigated object. The object in a uniform neutron beam is irradiated to obtain an image neutron. The technique used in segmenting the neutron radiography in this study was a digital technique using a camera with a charge-coupled device (CCD), which was deemed more efficient technique compared to the conventional one. Through this technique, images could be displayed directly on the monitor without going through the film washing process. Edge detection methods were implemented in the algorithm program. It was the first step to complement the image information where edges characterize object boundaries. It is useful for the process of segmenting and identifying objects in neutron digital radiography images. The edge detection method used in this study was Sobel, Prewitt, Canny, and Laplacian of Gaussian. According to the results of the image that have been tested for edge detection, the best image was carried out by the Canny operator because the method is more explicit. The obtained edges were more connected than the other methods which are still broken. The Canny provided edge gradient orientation which resulted in a proper localization.

The Segmentation of Neutron Digital Radiography Image through the Edge Detection Method Amalia, Ayu Fitri; Budhi, Widodo
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol 10, No 1 (2020)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v10n1.p11-21

The digital image processing is one way to manipulate one or more digital images. Image segmentation has an essential role in the field of image analysis. The aim of this study was to develop an application to perform digital image processing of neutron digital radiographic images, hoping to improve the image quality of the digital images produced. The quality of edge detection could be used for the introduction of neutron digital radiographic image patterns through artificial intelligence. Interaction of neutrons with the matter mainly by nuclear reaction, elastic, and inelastic scattering. A neutron can quickly enter into a nucleus of an atom and cause a reaction. It is because a neutron has no charge. Neutrons can be used for digital imaging due to high-resolution information from deep layers of the material. The attenuated neutron beam in neutron radiography are passing through the investigated object. The object in a uniform neutron beam is irradiated to obtain an image neutron. The technique used in segmenting the neutron radiography in this study was a digital technique using a camera with a charge-coupled device (CCD), which was deemed more efficient technique compared to the conventional one. Through this technique, images could be displayed directly on the monitor without going through the film washing process. Edge detection methods were implemented in the algorithm program. It was the first step to complement the image information where edges characterize object boundaries. It is useful for the process of segmenting and identifying objects in neutron digital radiography images. The edge detection methods used in this study were Sobel, Prewitt, Canny, and Laplacian of Gaussian. According to the results of the image that have been tested for edge detection, the best image was carried out by the Canny operator because the method is more explicit. The obtained edges were more connected than the other methods which are still broken. The Canny technique provided edge gradient orientation which resulted in a proper localization.

Analisis Kesulitan Mahasiswa Prodi Teknik Industri dalam Memahami Konsep Kinematika Budhi, Widodo; Amalia, Ayu Fitri; Purnama, Aditya Yoga
Navigation Physics : Journal of Physics Education Vol 6, No 1 (2024): Navigation Physics : Journal of Physics Education Vol. 6 No. 1 Tahun 2024
Publisher : UNIVERSITAS INDRAPRASTA PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/npjpe.v6i1.2744

This study aims to identify factors of student difficulties and analyze student difficulties in understanding the concept of kinematics in working on odd semester midterm exam questions in the 2023/2024 academic year Basic Physics 1 subject kinematics. This research was conducted at the Industrial Engineering Study Program, Faculty of Engineering, Sarjanawiyata Tamansiswa University in the odd semester of the 2023/2024 academic year. This research is a descriptive research. The research population was all Industrial Engineering students who took Basic Physics 1 course totaling 78 students. This research is a descriptive type of research. The research population is all Industrial Engineering students who take Basic Physics 1 courses totaling 78 students. The results showed that students' difficulties in understanding the concept of kinematics were categorized into 3 (three) factors, namely concepts (84%), procedures (47%), and mathematical calculations (67%). Students' ability to understand the concept of kinematics still tends to be low, this is indicated by the average score obtained by students only reaching 28.55 with a standard deviation of 10.53.

Motivasi Mahasiswa Mengikuti Program Pertukaran Mahasiswa Merdeka (PMM) Wijayanto, Zainnur; Ghozali, Imam; Trisharsiwi; Budhi, Widodo; Yulia, Yuyun; Kusumaningrum, Betty
Progressive of Cognitive and Ability Vol. 2 No. 3 (2023)
Publisher : EDUPEDIA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56855/jpr.v2i3.415

Perkembangan ilmu pengetahuan dan teknologi yang sangat pesat telah membawa perubahan yang sangat pesat pula dalam berbagai aspek kehidupan. Oleh karena itu, diperlukan transformasi pembelajaran untuk bisa membekali dan menyiapkan lulusan pendidikan tinggi agar menjadi generasi yang unggul. Kebijakan Merdeka Belajar-Kampus Merdeka (MBKM) yang diluncurkan oleh Menteri Pendidikan dan Kebudayaan merupakan kerangka untuk menyiapkan mahasiswa menjadi sarjana yang tangguh, relevan dengan kebutuhan zaman, dan siap menjadi pemimpin dengan semangat kebangsaan yang tinggi. Salah satu kebijakan yang diluncurkan adalah Pertukaran Mahasiswa Merdeka (PMM). Program PMM merupakan sebuah program yang akan mengajak para mahasiswa untuk mendapatkan pengalaman belajar di perguruan tinggi (PT) terbaik di seluruh Indonesia. Pada penerapannya, Program PMM memberikan tantangan sendiri bagi mahasiswa yang mengikuti program tersebut. Oleh karena itu, penelitian ini bertujuan mengetahui motivasi mahasiswa dalam mengikuti Program PMM. Penelitian ini merupakan penelitian studi kasus deskriptif. Data primer dalam penelitian ini diperoleh dengan metode survei dengan menggunakan kuesioner online. Hasil penelitian menunjukkan, motivasi mahasiswa mengikuti program PMM yaitu ingin: 1) Mengunjungi provinsi lain; 2) Menambah relasi; 3) Mendapatkan pengalaman baru; dan 4) Mendapatkan credit transfer.

Mathematical Model Simulation of Non-Linear Equations using MATLAB: Specific Volume of Gas with Van der Waals Equation Amalia, Ayu Fitri; Budhi, Widodo; Melati, Asih; Prabowo, Urip Nurwijayanto
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 11 No 2 (2022): Jurnal Ilmiah Pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v11i2.12546

Computational physics is concerned with the application of numerical methods in solving physical problems. The van der Waals gas model is one of the most common non-linear models. This study simulated a mathematical model of a non-linear equation using MatLab for the case of the specific volume of gas in the equation of the state of van der Waals. This study aimed to determine the molar volume and compressibility factor, as well as describe the relationship between the compressibility factor and the reduced pressure. The method of the study is experimental. The independent variables are the reduced pressure and temperature values. The dependent variable is the determination of the value of the molar volume (V) and the compressibility factor (Z). The control variable, in the form of a function used in solving this case, is based on van der Waals equation with the gas used is ammonia. The fzero command can be used to solve f(x)=0 with a single variable. This program that has been running successfully can show various predictions in the form of reduction pressure, thus obtaining the values of the molar volume and compressibility factor using the ideal gas equation. There is a deviation in ammonia gas, the Z>1 at high reduction pressures and Z<1 at medium pressures. This study can provide contributions and benefits in the form of material enrichment of thermodynamics to understand how real gases behave. The ideal gas equation can be modified into the van der Waals equation.

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