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All Journal Vidya Karya JPPS (Jurnal Penelitian Pendidikan Sains) E-JOINT (Electronica and Electrical Journal Of Innovation Technology)
Mohammad Nur
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Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Physics

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 1 
VALIDITAS MODEL PEMBELAJARAN GROUP SCIENCE LEARNING; PEMBELAJARAN INOVATIF DI INDONESIA Binar Kurnia Prahani; Mohammad Nur; Leny Yuanita; Iqbal Limatahu
Vidya Karya Vol 31, No 1 (2016): April 2016
Publisher : FKIP ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.677 KB) | DOI: 10.20527/jvk.v31i1.3976

Abstract

Abstract: Result of a preliminary study showed that in general the collaborative problem solving skills, science process skills, and confidence of students of SMA Negeri 19 Surabaya, SMAN 1 Tegaldlimo, MA Roudlotun Nasyin Mojokerto are still low. Therefore, researchers developed a model instructional group science learning to enhance collaborative problem solving skills, science process skills, and confidence. The purpose of this research is to get validity of Group Science Learning (GSL) developed to improve collaborative problem solving skills, science process skills, and confidence. Methods of data collection validation using Focus Group Discussion (FGD). Group science learning model developed needs to be validated by experts through Focus Group Discussion (FGD). Group science learning model assessed the validity of the learning model based on content validity and construct validity. Results of the validation by experts through focus group discussions indicate that group science learning model to improve the collaborative problem solving skills, science process skills, and confidence in this study are included in the category of very valid. This group science learning model can be implemented in learning to improve the collaborative problem solving skills, science process skills, and confidence. Keywords:  content validity, construct validity,  and group science learning model  Abstrak: Hasil studi awal menunjukkan bahwa secara umum keterampilan pemecahan masalah kolaboratif, keterampilan proses sains, dan kepercayaan diri siswa SMA Negeri 19 Surabaya, SMA Negeri 1 Tegaldlimo, MA Roudlotun Nasyin Mojokerto masih rendah. Oleh karena itu peneliti bermaksud mengembangkan model group science learning. Tujuan penelitian ini adalah untuk mendapatkan validitas model Group Science Learning  yang dikembangkan untuk meningkatkan keterampilan pemecahan masalah kolaboratif, keterampilan proses sains, dan kepercayaan diri. Metode pengumpulan data validasi menggunakan Focus Group Discussion (FGD). Validitas model pembelajaran Group Science Learning dinilai berdasarkan validitas isi dan validitas konstruk. Hasil validasi oleh pakar melalui FGD menunjukkan bahwa model Group Science Learning untuk meningkatkan keterampilan pemecahan masalah kolaboratif, keterampilan proses sains, dan kepercayaan diri dalam penelitian ini termasuk dalam kategori sangat valid. Model Group Science Learning dapat diimplementasikan dalam pembelajaran untuk meningkatkan keterampilan pemecahan masalah kolaboratif, keterampilan proses sains, dan kepercayaan diri.Kata Kunci: Validitas isi, validitas konstruk,  dan group science learning model
Effectivity of Scientific Approach Oriented Learning in Heredity toward Senior High School Studentss Scientific Creativity Nailil Inayah; M Thamrin Hidayat; Mohammad Nur
JPPS (Jurnal Penelitian Pendidikan Sains) Vol. 10 No. 1 (2020)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpps.v10n1.p1857-1873

Abstract

The purpose of this research was to investigate the effect of scientific approach oriented learning  toward senior high school students scientific creativity. This learning was conducted in  XII grade  of SMA  Muhammadiyah 2 Surabaya by using  one-group pretest-posttest design. The methods of data collection were using observation, tests, and questionnaires. Data was analyzed using descriptive analysis quantitatively and qualitatively. The results showed that the learning is effective to enhance scientific creativity students based on N-gain and was significant stated through paired sample t-test. Then implementation of learning got students positive response. Overall, it can be concluded that scientific approach oriented learning was effective to train senior high school students scientific creativity.
The Design of a Tobacco Quality Detection Tool Using K-NN Classification Method Mohammad Nur; Mustofa, Ahmad; Rikawulandari
E-JOINT (Electronica and Electrical Journal Of Innovation Technology) Vol. 5 No. 2 (2024): E-JOINT, Desember 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/e-joint.v5i2.2477

Abstract

Tobacco is an important commodity on Madura Island, where farmers process it into shredded tobacco sold to middlemen. The quality of the shredded tobacco significantly affects its selling price, determined by factors such as color, aroma, leaf elasticity, and handling. Currently, quality assessment still relies on manual methods dependent on the sensory perceptions of experts. However, the physical and emotional instability of these experts can disrupt the accuracy of these evaluations. To solve this issue, there is a need for a tool that can automatically detect tobacco quality without relying on manual observation. This tool is designed using a series of sensors, including the TCS3200 for color analysis and MQ sensors (MQ4, MQ135, MQ138) for detecting aroma components. The output from these sensors is in the form of ADC values, which are then processed as training data. The K-NN (K-Nearest Neighbors) method will be applied to classify tobacco quality into three categories: low, standard, and good. The distance calculation uses the Manhattan Distance formula with a parameter of K=4, ensuring more accurate results. With this tool, the assessment of tobacco quality becomes more consistent and reliable,because reducing the risk of inaccuracies due to human factors.
The Design of a Tobacco Quality Detection Tool Using K-NN Classification Method Mohammad Nur; Mustofa, Ahmad; Rikawulandari
E-JOINT (Electronica and Electrical Journal Of Innovation Technology) Vol 5 No 2 (2024): E-JOINT, Desember 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/e-joint.v5i2.2477

Abstract

Tobacco is an important commodity on Madura Island, where farmers process it into shredded tobacco sold to middlemen. The quality of the shredded tobacco significantly affects its selling price, determined by factors such as color, aroma, leaf elasticity, and handling. Currently, quality assessment still relies on manual methods dependent on the sensory perceptions of experts. However, the physical and emotional instability of these experts can disrupt the accuracy of these evaluations. To solve this issue, there is a need for a tool that can automatically detect tobacco quality without relying on manual observation. This tool is designed using a series of sensors, including the TCS3200 for color analysis and MQ sensors (MQ4, MQ135, MQ138) for detecting aroma components. The output from these sensors is in the form of ADC values, which are then processed as training data. The K-NN (K-Nearest Neighbors) method will be applied to classify tobacco quality into three categories: low, standard, and good. The distance calculation uses the Manhattan Distance formula with a parameter of K=4, ensuring more accurate results. With this tool, the assessment of tobacco quality becomes more consistent and reliable,because reducing the risk of inaccuracies due to human factors.
Co-Authors Ahmad Mustofa Binar Kurnia Prahani Leny Yuanita Limatahu, Iqbal M Thamrin Hidayat Nailil Inayah Rikawulandari