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PERBEDAAN KEMAMPUAN KONEKSI MATEMATIS MAHASISWA TATALAKSANA BERDASARKAN GAYA BELAJAR MENGGUNAKAN BLENDED LEARNING Supriyanta Supriyanta; Joko Tri Haryanta
MUARA Vol 5, No 1 (2022): MUARA
Publisher : Akademi Pelayaran Nasional Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62826/muara.v5i1.58

Abstract

Arif, Widarti. 2013. Kemampuan Koneksi Matematis Dalam menyelesaikan Masalah Kontektual ditinjau dari Kemampuan Matematis Siswa, Jurnal Stkip Pgri Jombang. Vol 1, No. 003 Tahun 2013 (diakses tanggal 18 Nopember 2016.Ayla, Arseven. 2015. Mathematical Modelling Approach in Mathematics Education Faculty of Education, Cumhuriyet University, Turkey. Universal Journal of Educational Research 3(12): 973-980, 2015 http://www.hrpub.org DOI:  10.13189/ujer.2015.031204 .Astuti, D.A., Novita, D. 2019. Blended Learning Terhadap Kemampuan Komunikasi Matematis. Iprosiding Sendika:Vol 5, No 1. 2019.Burkhardt, H. 2006. Modelling in mathematics classrooms: reflections on past developments and the future. ZDM, 38(2), 178–195. http://dx.doi.org/10.1007/ BF02655888.Chris, Hurst .2007. Numeracy in Action: Students Connecting Mathematical Knowledge to a   Range of Contexts Mathematics: Essential Research, Essential Practice - Volume 1Depaepe, F., De Corte, E., & Verschaffel, L. 2010. Teachers’ approaches towards word problem solving: elaborating or restricting the problem context. Teaching and Teacher Education, 26(2), 152–160. http://dx.doi.org/10.1016/j. tate.2009.03.016.Dedi, Rohendi;  Jojon, Dulpaja. 2013. Connected Mathematics Project (CMP) Model Based on Presentation Media to the Mathematical Connection Ability of Junior High School Student. Journal of Education and Practice. www.iiste.org ISSN 2222-1735 (Paper)   ISSN 2222-288X (Online) Vol.4, No.4, 2013.Dixon, Tara & Martin, O. 2012. Communication Skill. (online). http://www.practicebasedlearning.org.Elliot, M. 2002. Blended Learning:The Magic Is In The Mix. In A. Rossett (ed). The ASTD e-learning Handbook (pp.58-63). New York: McGraw-Hill.Frankenstein, M. 2009. Developing a criticalmathematical numeracy through real real-life word problems. In L. Verschaffel, B. Greer, W. V. Dooren, & S. Mukhopadhyay (Eds.), Words and worlds  _ modelling verbal descriptions of situations (pp. 111–130).Rotterdam, the Netherlands: Sense.Gökhan, Karakoç and Cengiz, Alacacı. 2015. Real World Connections in High School Mathematics Curriculum and Teaching.  Turkish Journal of Computer and Mathematics Education  Vol.6 No.1 (2015), 31-46.Hadi, Sutarto. 2005. Pendidikan Matematika Realistik dan Implementasinya. Banjarmasin: Penerbit Tulip.Herdiaan. 2010. Kemampuan Komunikasi Matematika (Online) https://herdy07.wordpress.com/2010/05/27/kemampuan-koneksi-matematik-mahasiswa/ (diakses tanggal 23 Nopember 2016)Hoogland, K., & Stelwagen, R. 2011. A new Dutch numeracy framework. In T. Maguire, J. J. Keogh, & J. O’Donoghue (Eds.), Mathematical Eyes: a Bridge Between Adults, the World and Mathematics. Proceedings of the 18th International Conference of Adults Learning Mathematics—a Research Forum (ALM) (pp. 193– 202).Tallaght, Ireland: ITT. Hoogland, K., & De Koning, J. 2013. Rekenen in Beeld [Images of numeracy]. Utrecht, the Netherlands: DANS. http://dx.doi.org/10.17026/dans-za6-5q6c. Hoogland, K., De Koning J., Bakker, A., Pepin, B., Gravemeijer K., 2016. Descriptive versus depictive representation of reality in contextual mathematical problems: the effect on students’ performances. (submitted).Johnson, D.W, & Johnson, R .1978. Comperative, Competitive, and Individualistic Learning. Journal of Research and Development in Education, 12. p. 8-15.Judith, Mousley. 2004.  An Aspect Of Mathematical Understanding:  The Notion Of “Connected Knowing Proceedings of the 28th Conference of the International  Group for the Psychology of Mathematics Education,  2004 Vol 3 pp 377–384.Kaiser, G., Blomhøj, M., & Sriraman, B. 2006. Towards a didactical theory for mathematical modelling. ZDM, 38(2), 82–85. http://dx.doi.org/10.1007/ BF02655882. Lave, J. 1992. Word problems: a microcosm of theories of learning. In P. Light, & G. 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Pengaruh Crew Change Plan Terhadap Ketidaksesuaian Kontrak Kerja di PT MCS Internasional Evika Syam Pramesti Putri; Supriyanta Supriyanta
Logistics and Supply Chain Insights Vol. 1 No. 1 (2025): Maret : Logistics and Supply Chain Insights
Publisher : Indonesian Maritime Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65428/login.v1i1.5

Abstract

The suboptimal crew change plan results in inappropriate crew changes, the crew's work contract does not comply with the Sea Work Agreement (PKL). From this, the author is interested in researching: 1) Delays in the crew change plan 2) The crew's work contract period exceeds the Sea Work Agreement (PKL) 3) Insufficient standby crew at PT MCS Internasional. This study aims to determine the influence of the crew change plan on the incompatibility of the work contract at PT MCS Internasional. The study was conducted for 3 months from February 2023 to May 2023 at PT MCS Internasional. The author uses a quantitative research method with calculation analysis in the form of simple linear regression analysis, t-test and coefficient of determination test. The data collection techniques used are by means of observation, questionnaires, and documentation studies. The respondents who were the subjects of the study were the crew of the Humpus Transportasi Kimia (HTK) tanker totaling 50 respondents. The collected data was processed using the Statistical Package For The Social Sciences (SPSS) version 27. The results of this study are: 1) Crew change plan is a process to determine the replacement/transfer of ship crews who have passed the work contract time limit. 2) The ship's crew at PT MCS Internasional experienced a mismatch in the work contract time because the contract time exceeded the Sea Work Agreement (PKL). 3) Based on a simple linear regression test, there is an influence of variable (X) on variable (Y) with a significance value of 0.000 <0.05 and the regression equation Y = 5.518 + 1.138 (X) is obtained, based on the t test, the results of t count = 8.117> t table = 2.0484 and a determination coefficient of 57% is obtained. It can be concluded that