4 research outputs found
New Development of Neutrosophic Probability, Neutrosophic Statistics, Neutrosophic Algebraic Structures, and Neutrosophic & Plithogenic Optimizations
This Special Issue puts forward for discussion state-of-the-art papers on new topics related to neutrosophic theories, such as neutrosophic algebraic structures, neutrosophic triplet algebraic structures, neutrosophic extended triplet algebraic structures, neutrosophic algebraic hyperstructures, neutrosophic triplet algebraic hyperstructures, neutrosophic n-ary algebraic structures, neutrosophic n-ary algebraic hyperstructures, refined neutrosophic algebraic structures, refined neutrosophic algebraic hyperstructures, quadruple neutrosophic algebraic structures, refined quadruple neutrosophic algebraic structures, neutrosophic image processing, neutrosophic image classification, neutrosophic computer vision, neutrosophic machine learning, neutrosophic artificial intelligence, neutrosophic data analytics, neutrosophic deep learning, neutrosophic symmetry, and their applications in the real world. This book leads to the further advancement of the neutrosophic and plithogenic theories of NeutroAlgebra and AntiAlgebra, NeutroGeometry and AntiGeometry, Neutrosophic n-SuperHyperGraph (the most general form of graph of today), Neutrosophic Statistics, Plithogenic Logic as a generalization of MultiVariate Logic, Plithogenic Probability and Plithogenic Statistics as a generalization of MultiVariate Probability and Statistics, respectively, and presents their countless applications in our every-day world
PENGEMBANGAN MEDIA PEMBELAJARAN ONE SIDED VIEW 3D HOLOGRAM PADA MATA PELAJARAN BIOLOGI UNTUK MENINGKATKAN CRITICAL THINKING PESERTA DIDIK KELAS X
ABSTRAK
PENGEMBANGAN MEDIA PEMBELAJARAN ONE SIDED
VIEW 3D HOLOGRAM PADA MATA PELAJARAN
BIOLOGI UNTUK MENINGKATKAN CRITICAL THINKING
PESERTA DIDIK KELAS X
Oleh
Fidia Diah Ayuni
Penelitian ini bertujuan untuk mengkaji efektivitas media
pembelajaran hologram 3D satu sisi dalam meningkatkan kemampuan
berpikir kritis peserta didik pada materi virus. Metode yang digunakan
adalah pengembangan (RnD) Borg and Gall yang dimodifikasi
menjadi sembilan tahapan penelitian dan pengembangan, diuji melalui
kuasi eksperimen. Populasi kelas X berjumlah >100 peserta didik,
dengan sampel skala kecil sebanyak enam peserta didik dan skala luas
masing-masing 36 peserta didik dalam kelas eksperimen dan kontrol.
Teknik analisis data kuantitatif yang kemudian dijelaskan secara
kualitatif.
Pengembangan media ini memiliki keunggulan utama dalam
teknologi proyeksi holografik 3D yang dapat mengatasi keterbatasan
pengajaran tradisional. Keunikan dari penelitian ini adalah satu sisi
tampilan yang mempertahankan kefokusan dan pembuatan hologram
dengan bahan yang sederhana.
Hasil penelitian menunjukkan persentase tingkat nilai
kelayakan menurut validator ahli media 97%, validator ahli materi
97%, validator ahli bahasa dengan instrumen non-test 81%, dan
instrumen test 80%. Penilaian kelayakan rata-rata guru pamong 95%
dan peserta didik 92%, termasuk dalam kriteria "Sangat Baik". Hasil
analisis N-Gain angket menunjukkan nilai signifikansi 0,260, yang
menunjukkan distribusi yang normal karena nilai signifikansi ≥0,05.
Keefektifan media ini dibuktikan melalui uji Independent Samples
Test dengan nilai df 70, dengan mean untuk pretest dan post-test
sebesar 17,782 ≥ 1,6999. Hal ini menunjukkan penolakan terhadap
nilai Ho dan penerimaan terhadap nilai Ha.
Kata Kunci: Critical Thinking, Materi Virus, Media Pembelajaran
One Sided View 3D Hologram.
iv
ABSTRACT
This study aims to examine the effectiveness of one-sided 3D
hologram learning media in enhancing students' critical thinking skills
in the subject of viruses. The modified Borg and Gall's R&D approach
with nine stages of research and development was employed, tested
through quasi-experimental methods. The population consisted of X
grade students (>100), with a small-scale sample of six participants
and a large-scale sample of 36 participants in both experimental and
control groups. Quantitative data analysis techniques were utilized,
followed by qualitative explanation.
The development of this media offers a significant advantage
through its 3D holographic projection technology, overcoming
limitations of traditional teaching methods. The unique aspect of this
research lies in its one-sided display, maintaining focus and utilizing
simple materials for hologram creation.
The research results revealed high feasibility ratings from
expert validators in media (97%), subject matter (97%), and language
(81% for non-test instruments and 80% for test instruments). The
average feasibility assessment by supervising teachers was 95%, and
by students was 92%, falling within the "Very Good" criteria. The N�Gain questionnaire analysis indicated a significance value of 0.260,
demonstrating a normal distribution as the significance value was
≥0.05. The effectiveness of the media was demonstrated through the
Independent Samples Test with a df value of 70, where the mean for
both pretest and post-test (17.782 ≥ 1.6999) led to the rejection of the
null hypothesis (Ho) and acceptance of the alternative hypothesis
(Ha).
Keyword: Critical Thinking, One Sided View 3D Hologram Learning
Media, Virus Subject
New Development of Neutrosophic Probability, Neutrosophic Statistics, Neutrosophic Algebraic Structures, and Neutrosophic Plithogenic Optimizations
This volume presents state-of-the-art papers on new topics related to neutrosophic theories, such as neutrosophic algebraic structures, neutrosophic triplet algebraic structures, neutrosophic extended triplet algebraic structures, neutrosophic algebraic hyperstructures, neutrosophic triplet algebraic hyperstructures, neutrosophic n-ary algebraic structures, neutrosophic n-ary algebraic hyperstructures, refined neutrosophic algebraic structures, refined neutrosophic algebraic hyperstructures, quadruple neutrosophic algebraic structures, refined quadruple neutrosophic algebraic structures, neutrosophic image processing, neutrosophic image classification, neutrosophic computer vision, neutrosophic machine learning, neutrosophic artificial intelligence, neutrosophic data analytics, neutrosophic deep learning, and neutrosophic symmetry, as well as their applications in the real world
Collected Papers (on Neutrosophic Theory and Applications), Volume VII
This seventh volume of Collected Papers includes 70 papers comprising 974 pages on (theoretic and applied) neutrosophics, written between 2013-2021 by the author alone or in collaboration with the following 122 co-authors from 22 countries: Mohamed Abdel-Basset, Abdel-Nasser Hussian, C. Alexander, Mumtaz Ali, Yaman Akbulut, Amir Abdullah, Amira S. Ashour, Assia Bakali, Kousik Bhattacharya, Kainat Bibi, R. N. Boyd, Ümit Budak, Lulu Cai, Cenap Özel, Chang Su Kim, Victor Christianto, Chunlai Du, Chunxin Bo, Rituparna Chutia, Cu Nguyen Giap, Dao The Son, Vinayak Devvrat, Arindam Dey, Partha Pratim Dey, Fahad Alsharari, Feng Yongfei, S. Ganesan, Shivam Ghildiyal, Bibhas C. Giri, Masooma Raza Hashmi, Ahmed Refaat Hawas, Hoang Viet Long, Le Hoang Son, Hongbo Wang, Hongnian Yu, Mihaiela Iliescu, Saeid Jafari, Temitope Gbolahan Jaiyeola, Naeem Jan, R. Jeevitha, Jun Ye, Anup Khan, Madad Khan, Salma Khan, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Kifayat Ullah, Kishore Kumar P.K., Sujit Kumar De, Prasun Kumar Nayak, Malayalan Lathamaheswari, Luong Thi Hong Lan, Anam Luqman, Luu Quoc Dat, Tahir Mahmood, Hafsa M. Malik, Nivetha Martin, Mai Mohamed, Parimala Mani, Mingcong Deng, Mohammed A. Al Shumrani, Mohammad Hamidi, Mohamed Talea, Kalyan Mondal, Muhammad Akram, Muhammad Gulistan, Farshid Mofidnakhaei, Muhammad Shoaib, Muhammad Riaz, Karthika Muthusamy, Nabeela Ishfaq, Deivanayagampillai Nagarajan, Sumera Naz, Nguyen Dinh Hoa, Nguyen Tho Thong, Nguyen Xuan Thao, Noor ul Amin, Dragan Pamučar, Gabrijela Popović, S. Krishna Prabha, Surapati Pramanik, Priya R, Qiaoyan Li, Yaser Saber, Said Broumi, Saima Anis, Saleem Abdullah, Ganeshsree Selvachandran, Abdulkadir Sengür, Seyed Ahmad Edalatpanah, Shahbaz Ali, Shahzaib Ashraf, Shouzhen Zeng, Shio Gai Quek, Shuangwu Zhu, Shumaiza, Sidra Sayed, Sohail Iqbal, Songtao Shao, Sundas Shahzadi, Dragiša Stanujkić, Željko Stević, Udhayakumar Ramalingam, Zunaira Rashid, Hossein Rashmanlou, Rajkumar Verma, Luige Vlădăreanu, Victor Vlădăreanu, Desmond Jun Yi Tey, Selçuk Topal, Naveed Yaqoob, Yanhui Guo, Yee Fei Gan, Yingcang Ma, Young Bae Jun, Yuping Lai, Hafiz Abdul Wahab, Wei Yang, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Lemnaouar Zedam