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All Journal Bioedukasi: Jurnal Pendidikan Biologi Scientica: Jurnal Ilmiah Sains dan Teknologi
Sufriyah, Lailiyatus
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Immunology & microbiology Social Sciences Other

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PERAMALAN HARGA EMAS DENGAN METODE BACKPROPAGATION NEURAL NETWORK ( STUDY KASUS : PT. ANEKA TAMBANG TBK ) Sufriyah, Lailiyatus; Fanani, Aris; Hamid, Abdulloh; Ulinnuha, Nurissaidah; Intan, Putroue Keumala
Scientica: Jurnal Ilmiah Sains dan Teknologi Vol. 2 No. 12 (2024): Scientica: Jurnal Ilmiah Sains dan Teknologi
Publisher : Komunitas Menulis dan Meneliti (Kolibi)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.572349/scientica.v2i12.3479

Abstract

Investasi emas merupakan investasi yang cukup mudah dan banyak digemari oleh berbagai kalangan. Dengan melakukan investasi emas, maka kekayaan yang dimiliki akan terjaga. Hal ini dikarenakan investasi emas hampir tidak dipengaruhi dengan adanya inflasi. Sebelum memutuskan untuk berinvestasi, seorang investor harus memiliki pengetahuan mengenai keuntungan dan risiko yang akan terjadi. Pada penelitian ini penulis akan meramalkan harga emas PT Aneka Tambang Tbk di masa yang akan datang menggunakan metode backpropagation neural network. Dari hasil pengujian data harga emas didapatkan jaringan paling optimal yaitu 12-30-1, dengan varian 2,82, mean 9,441, standar deviasi 1,67, dan nilai error MSE sebesar 0,037517. Dari nilai eror tersebut didapatkan harga emas pada bulan Juli 2022 sebesar 921891. Dan metode Backpropagation Neural Network terbukti dapat digunakan untuk menyelesaikan peramalan harga emas PT. Aneka Tambang Tbk.
Analysis of Science Process Skills in the Guided Inquiry Learning Model of Biotechnology Materials Sufriyah, Lailiyatus; Zulfiani, Zulfiani; Fadlilah, Dina Rahma
Bioedukasi: Jurnal Pendidikan Biologi Vol 18, No 2 (2025): Bioedukasi: Jurnal Pendidikan Biologi
Publisher : Department of Biology Education Faculty of Teacher Training and Education Sebelas Maret Un

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/bioedukasi.v18i2.95104

Abstract

Scientific Process Skills (SPS) are essential competencies for students to face 21st-century challenges. However, learning processes in schools often overlook the development of these skills. One learning model considered effective in enhancing SPS is the Guided Inquiry model. This study aims to identify the profile of students’ SPS through the Guided Inquiry learning model on biotechnology material and to determine differences in SPS between students who experience Guided Inquiry learning and those who receive conventional instruction. The research was conducted in 2024 at a senior high school in Depok using a quasi-experimental method with a posttest-only control group design. The sample consisted of two-phase E classes selected through simple random sampling, each assigned as the control and experimental groups. Data collection used both test and non-test instruments: a posttest to assess SPS outcomes and an observation sheet to monitor SPS during learning. The results show that students’ SPS in the Guided Inquiry model vary across indicators, with the highest average score in communication (87.61%) and the lowest in prediction (49.52%). Independent Samples T-Test analysis revealed a significance value of 0.000 (< 0.05), indicating a statistically significant difference in SPS between the experimental and control groups. These findings suggest the Guided Inquiry model effectively enhances students’ scientific process skills in biotechnology learning
Co-Authors Abdulloh Hamid Aris Fanani Fadlilah, Dina Rahma Nurissaidah Ulinnuha Putroue Keumala Intan Zulfiani Zulfiani