THE KEY ROLE OF STUDENTS' READING ATTITUDES IN COMPREHENSION SKILLS

Mira Ermita; Ida Nuraida; Halimah Halimah

doi:10.53625/ijss.v4i4.9416

Authors

Mira Ermita Panca Sakti Bekasi University, Indonesia
Ida Nuraida Banten Jaya University, Indonesia
Halimah Halimah Suryakancana University, Indonesia

DOI:

https://doi.org/10.53625/ijss.v4i4.9416

Keywords:

Reading Attitudes, Reading Comprehension Achievement

Abstract

This study was conducted to see whether or not there is a relationship between students' reading attitudes and their reading achievement. The method used in this study is a descriptive method with correlational analysis. The respondents in this study were eighth-grade students at The State Junior High School 17 Jambi City in the 2024/2025 Academic Year. The sampling technique used was random 31 students were obtained. Data were collected by distributing questionnaires to determine students' reading attitudes and conducting reading tests to assess students' reading achievement. The type of text used in this study is recount text. To measure the correlation of data, the researcher used Pearson-Product Moment using SPSS 25. The results of this study indicate that there is a low relationship between students' reading attitudes and their reading abilities

References

Agricultural Research and Development Agency. 2020. Seeds are the Key. Jakarta. http://www.litbang.pertanian.go.id/info-aktual/3962/. [December 20, 2020]. (2021) Reservoir Sedimentation.

Aini, AN, Intan, PK, & Ulinnuha, N. (2022). “Prediction of Average Monthly Rainfall in Pasuruan Using the Holt-Winters Exponential Smoothing Method”. JRST (Journal of Science and Technology Research), 5(2), 117.

Angel Novita Tri Lara Atica, Gusfan Halik, Saifurridzal.(2022). Rainfall Prediction Using CHIRPS and PERSIANN-CDR Satellite Rainfall Data in Bedadung Watershed, Jember Regency. Journal of Water Resources Engineering. Volume 2. No. 2 pp. 69-80. DOI 10.56860/jtsda.v2i2.36

D. Desmonda, T. Tursina, dan M. A. Irwansyah, “Prediksi Besaran Curah Hujan Menggunakan Metode Fuzzy Time Series,” J. Sist. dan Teknol. Inf., vol. 6, no. 4, hal. 141, 2018, doi: 10.26418/justin.v6i4.27036.

Desvina, A. P., & Ratnawati. (2014). Penerapan Model Vector Autoregressive (VAR) Untuk Peramalan Curah Hujan Kota Pekanbaru. Jurnal Sains, Teknologi Dan Industri, 11(2), 151–159.

E. M. Manihuruk, H. Harianto, and N. Kusnadi, “Analisis Faktor Yang Memengaruhi Petani Memilih Pola Tanam Ubi Kayu Serta Efisiensi Teknis Di Kabupaten Lampung Tengah,” J. AGRISEP Kaji. Masal. Sos. Ekon. Pertan. dan Agribisnis, vol. 17, no. 2, pp. 139–150, 2018, doi: 10.31186/jagrisep.17.2.139-150.

E. Pujiati, D. Yuniarti, and R. Goejantoro, “Forecasting Using Brown’s Double Exponential Smoothing Method (Case Study: Consumer Price Index (CPI) of Samarinda City),” J. Exponential, vol. 7, no. 1, pp. 33–40, 2016.

F. Prawaka, A. Zakaria, and S. Tugiono, “Analysis of Missing Rainfall Data Using Normal Ratio Method, Inversed Square Distance, and Algebraic Average Method (Case Study of Rainfall of Several Rainfall Stations in Bandar Lampung Area),” J. Civil Engineering and Design, vol. 4, no. 3, pp. 397– 406, 2016.

HDES Sinaga and N. Irawati, “Comparison of Double Moving Average with Double Exponential Smoothing in Forecasting Medical Consumables,” Jurteksi (Journal of Technology and Information Systems), vol. IV, no. 2, pp. 197–204, 2018.

IGW Sena, JW Dillak, P. Leunupun, and AJ Santoso, (2020). Predicting rainfall intensity using Naïve Bayes and Information Gain methods (case study: Sleman Regency). J Phys. Conf. Ser. 1577(1), doi: 10.1088/1742-6596/1577/1/012011.

Kementerian Pekerjaan Umum, Direktorat Jenderal Sumber Daya Air, Direktorat Irigasi dan Rawa, Standar Perencanaan Irigasi, Kriteria Perencanaan Bagian Saluran, KP – 03 ; 2013. Direktur Jenderal Sumber Daya Air; Jakarta.

L. J. Sinay and S. N. Aulele. 2015. Rainfall and Number of Rainy Days Prediction in Ambon Island using Vector Autoregression Model. International Seminar Basic Science. Ambon

Luthfiarta, A., Febriyanto, A., Lestiawan, H., & Wicaksono, W. (2020). Analisa Prakiraan Cuaca dengan Parameter Suhu, Kelembaban, Tekanan Udara, dan Kecepatan Angin Menggunakan Regresi Linear Berganda. JOINS (Journal of Information System), 5(1), 10–17. https://doi.org/10.33633/joins.v5i1.2760

Musfiroh et al. (2023). Application of Principal Component Analysis (PCA) and Long Short-Term Memory (LSTM) Methods in Predicting Daily Rainfall Prediction. Building of Informatics, Technology and Science (BITS) Volume 5, No 1, pp. 1−11 ISSN 2684-8910 (print media) ISSN 2685-3310 (online media) DOI 10.47065/bits.v5i1.3114

Perdana, DA, Zakaria, A., and Sumiharn, 2015. Synthetic Modeling Study of Daily Rainfall at Several Rainfall Stations in Pringsewu Regency. Jrsdd, 3 (1), 45–56

Prawaka, F., Zakaria, A., and Tugiono, S., 2016. Analysis of Missing Rainfall Data Using the Normal Ratio, Inversed Square Distance, and Algebraic Average Methods (Case Study of Rainfall at Several Rainfall Stations in the Bandar Lampung Area)

R. Utami and S. Atmojo, “Perbandingan Metode Holt Exponential Smoothing dan Winter Exponential Smoothing Untuk Peramalan Penjualan Souvenir,” J. Ilm. Teknol. Inf. Asia, vol. 11, no. 2, pp. 123–130, 2017.

S. Putramulyo and S. Alaa, “Monthly Rainfall Prediction in Samarinda City Using Regression Equation with Temperature and Humidity Data Predictors,” Eig. Math. J., vol. 2, no. 2, pp. 13–16, 2018.

Safitri, T., Dwidayati, N., & Sugiman. (2017). Perbandingan Peramalan Menggunakan Metode Exponential Smoothing Holt-Winters dan Arima. UNNES Journal Of Mathematics, 6(1), 48–58.

SF Hilmi and E. Nurjani, “The Relationship between Rainfall Variability and Flood Occurrence in Bandung Area,” J. Bumi Indones., vol. 8, no. 4, pp. 1–11, 2019.

Sisinggih, D., Wahyuni, S., Nugroho, R., Hidayat, F., & Rahman, K.I. (2020). Sediment transport functions in HEC-RAS 4.0 and their evaluation using data from sediment flushing of Wlingi reservoir – Indonesia. Prosiding IOP Conference Series: Earth and Environmental Science, Volume 437, The 3rd International Conference of Water. Resources Development and Environmental Protection 12–13 October 2019, Malang. doi:10.1088/1755-1315/437/1/012014.

SNI, 19-6728.1-2002 (2002) Penyusunan Neraca Sumber Daya. Indonesia: Standar. Nasional Indonesia.

Sri Dewi SS (2019) Rainfall Calculation Information System. Final Project, Diploma III Telecommunication Technology, Telkom University, Bandung

Sun, H., Wang, S., & Hao, X. (2017). An improved analytic hierarchy process method for the evaluation of agricultural water management in irrigation districts of northern China. Agricultural Water Management, 179, 324-337.

Tiurma ES, Eben OZ, Estetika Z. (2023). Reliable Discharge Analysis (Case Study on Parmongan II PLTM). CONSTRUCT: Civil Engineering Journal Vol. 2, No. 2, pp. 13-24.

Triatmojo, B., 1998. Applied Hydrology. Yogyakarta: Beta Offset.

Tukidi. 2007. Meteorology and Climatology. Semarang: Department of Geography FIS UNNES

Wei, W.S. 1994. Time Series Analysis: Univariate and Multivariate. Method. New York: Addison Wesley Publishing Company

Yasar, M., Siwar, C., & Firdaus, RR (2015). Assessing paddy farming sustainability in the Northern Terengganu integrated agricultural development area (IADA KETARA): A structural equation modeling approach. Pacific Science Review B: Humanities and Social Sciences, 1(2), 71-75.

Yonida, Arinda Dwi (2018), Kondisi Lahan Pertanian Indonesia, Agribisnis. Universitas Gajah Mada, Yogyakarta, https://farming.id/.