The Development of Artificial Learning Media to Fasilitate Active Learning to Improve Learning Outcome on The Teaching of Gas Chromatography
DOI:
https://doi.org/10.33394/jtp.v9i2.10631Keywords:
Development, Active Learning, Learning Outcomes, Gas Chromatography.,Abstract
References
Ali, M., & Asrori, M. (2022). Metodologi dan aplikasi riset pendidikan. Bumi Aksara.
Ayala-Cabrera, J. F., Montero, L., Meckelmann, S. W., Uteschil, F., & Schmitz, O. J. (2023). Review on atmospheric pressure ionization sources for gas chromatography-mass spectrometry. Part II: Current applications. Analytica chimica acta, 1238, 340379.
Børte, K., Nesje, K., & Lillejord, S. (2023). Barriers to student active learning in higher education. Teaching in Higher Education, 28(3), 597-615.
Cagliero, C., Bicchi, C., Marengo, A., Rubiolo, P., & Sgorbini, B. (2022). Gas chromatography of essential oil: Stateâ€ofâ€theâ€art, recent advances, and perspectives. Journal of Separation Science, 45(1), 94-112.
Chance, P., & Furlong, E. (2022). Learning and behavior: Active learning edition. Cengage Learning.
Dewi, R. K., Wardani, S., Wijayati, N., & Sumarni, W. (2019). Demand of ICT-Based Chemistry Learning Media in the Disruptive Era. International Journal of Evaluation and Research in Education, 8(2), 265-270.
Fadilah, A., Nurzakiyah, K. R., Kanya, N. A., Hidayat, S. P., & Setiawan,
U. (2023). Pengertian Media, Tujuan, Fungsi, Manfaat dan Urgensi Media Pembelajaran. Journal of Student Research, 1(2), 01-17.
Gargenta, M. (2011). Learning android. “ O’Reilly Media, Inc.â€
Haase, S., Tolvanen, P., & Russo, V. (2022). Process intensification in chemical reaction engineering. Processes, 10(1), 99.
Halvorsen, R. C., Trinklein, T. J., Warren, C. G., Rogan, R. D., & Synovec,
R. E. (2023). Optimizing column-to-column retention time alignment in high-speed gas chromatography by combining retention time locking and correlation optimized warping. Talanta, 254, 124173.
Kariuki, J., Nguyen, T. V., & Singh, R. (2023). Reflections of a professor and undergraduate student-instructors: Our experiences teaching a first-year seminar course and chemistry labs. International Journal for Students as Partners, 7(1), 191-197.
Keyvanpour, M. R., Barani Shirzad, M., & Heydarian, F. (2023). Android malware detection applying feature selection techniques and machine learning. Multimedia Tools and Applications, 82(6), 9517- 9531.
Mahardika, I. K., Subiki, S., Anggraeni, N. P., Juanda, D. H., Ubaidillah,
M. J., & Amelia, N. (2022). Analisis Penggunaan Media Pembelajaran Interaktif Berbasis Lingkungan untuk Meningkatkan Hasil Belajar Siswa SMA pada Materi Fluida Dinamis. EDUKATIF: JURNAL ILMU PENDIDIKAN, 4(4), 5239-5247.
McNair, H. M., Miller, J. M., & Snow, N. H. (2019). Basic gas chromatography. John Wiley & Sons.
Nolvachai, Y., Zavahir, J. S., Herron, R., & Marriott, P. J. (2023). Teaching Analytical Instrumentation Through Remote Access–A Gas Chromatography Perspective. Journal of Chemical Education, 100(3), 1100-1108.
Nurbani, N., & Puspitasari, H. (2022). Analisis Kebutuhan Pengembangan Media Pembelajaran Berbasis Android pada Mata Pelajaran Matematika di SMA. Edukatif: Jurnal Ilmu Pendidikan, 4(2), 1908- 1913.
Putri, S. P., Ikram, M. M. M., Sato, A., Dahlan, H. A., Rahmawati, D., Ohto, Y., & Fukusaki, E. (2022). Application of gas chromatography-mass spectrometry-based metabolomics in food science and technology. Journal of Bioscience and Bioengineering.
Rachma, N., & Muhlas, I. (2022). Comparison Of Waterfall And Prototyping Models In Research And Development (R&D) Methods For Android-Based Learning Application Design. Jurnal Inovatif: Inovasi Teknologi Informasi Dan Informatika, 5(1), 36-39.
Ritchie, H., Mathieu, E., & Roser, M. (2023). Research and Development. Our World in Data.
Sary, S. P., Tarigan, S., & Situmorang, M. (2018, December). Development of innovative learning material with multimedia to increase student achievement and motivation in teaching acid base titration. In 3rd Annual International Seminar on Transformative Education and Educational Leadership (AISTEEL 2018) (pp. 422-425). Atlantis Press.
Situmorang, M., & Ricky, D. R. (2022). Identifikasi senyawa bioaktif ekstrak etanol dan rganiza jahe merah (Zingiber officinale var. Rubrum) dengan menggunakan gas chromatography-mass spectrometer. Humantech: Jurnal Ilmiah Multidisiplin Indonesia, 2(01), 90-97.
Tekler, Z. D., Lei, Y., Peng, Y., Miller, C., & Chong, A. (2023). A hybrid active learning framework for personal thermal comfort models. Building and Environment, 234, 110148.
Tomlinson, B. (Ed.). (2023). Developing materials for language teaching.
Bloomsbury Publishing.
Tursunovich, R. I. (2022). “GUIDELINES FOR DESIGNING EFFECTIVE
LANGUAGE TEACHING MATERIALS. American Journal of Research in Humanities and Social Sciences, 7, 65-70.
Ukowitz, M. (2023). Who defines innovation in education? Participatory action research and rganizational learning. Educational Action Research, 31(2), 366-383.
Von Mühlen, C., Mangelli, L. N., & Marriott, P. J. (2022). Average theoretical peak time as a metric to analytical speed in one dimensional and multidimensional gas chromatographic separations. Journal of Chromatography A, 1667, 462887.
Whang, S. E., Roh, Y., Song, H., & Lee, J. G. (2023). Data collection and quality challenges in deep learning: A data-centric ai perspective. The VLDB Journal, 32(4), 791-813.
Widiasanti, I., Astriani, D., Rahayanti, A. E., Septianto, B., & Widianingsih,
L. (2023). Analysis of E-Learning Activities as School Learning Media in the Era of Society 5.0 Using Big Data. Edunesia: Jurnal Ilmiah Pendidikan, 4(3), 1082-1096.
Wilis,R,D,(2006), Teori-TeoriBelajar & Pembelajaran , Jakarta: Erlangga. Wishart, D. S., Girod, S., Peters, H., Oler, E., Jovel, J., Budinski, Z., ... &
Gautam, V. (2023). ChemFOnt: the chemical functional ontology resource. Nucleic Acids Research, 51(D1), D1220-D1229.
Zahwa, F. A., & Syafi’i, I. (2022). Pemilihan Pengembangan Media Pembelajaran Berbasis Teknologi Informasi. Equilibrium: Jurnal Penelitian Pendidikan dan Ekonomi, 19(01), 61-78.
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