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IMPLEMENTATION OF CONTEXTUAL TEACHING AND LEARNING (CTL) IN IMPROVING MAHARAT KITABAH IN THE ARABIC LANGUAGE DEVELOPMENT PROGRAM IN THE AL-MAWADDAH REGION Qomariyah, Lailatul; Hidayat, M. Noer Fadli
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 2, No 2 (2024): Third International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

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Abstract

Most of the students of the Arabic Language Development Program in the Al-Mawaddah area of the Nurul Jadid Islamic boarding school tend to lack enthusiasm in the learning process; the students have difficulty in composing short stories in Arabic, the students lack confidence when expressing their opinions, lack of confidence, understanding of the material they obtain and placing importance on the many materials they memorize without any practice of the material or materials they get so that students quickly feel bored in learning activities. Therefore, it is necessary to apply the Contextual Teaching and Learning (CTL) learning model in the learning process because it emphasizes the whole learning process of students and connects the material they have in real life to apply it in everyday life later. The purpose of this research is 1) to determine the application of CTL in increasing the understanding of the Kitabah in the Arabic Language Development Program. 2) to determine the inhibiting and supporting factors in implementing CTL in increasing the understanding of the book in the Al-Mawaddah Region Arabic Language Development Program. 3) to find out the results of implementing CTL in increasing the understanding of the ketubah in the Al-Mawaddah Regional Arabic Language Development Program.This type of research looks for case studies using a descriptive qualitative approach. The location of this research is the PPBA Al-Mawaddah Region. The research subjects were the program coordinator, Muslimah install, and santri. Data collection uses observation, interviews, and documentation techniques. Data analysis used data reduction, data display, and conclusions.The results of this research show 1) The implementation of CTL in increasing the taharah of the ketubah in PPBA Al-Mawaddah Region is carried out 2x1 hour a week with the following steps: a. Planning stage, preparing learning materials and models by the program curriculum, b. The implementation stage is the initial stage of the ustadzah, where greetings are given, prayers are offered, Arabic language question and answer sessions are held, and assignments are collected. In the second stage, the ustadzah gives short story sentences in Indonesian, translates them into Arabic in groups, and corrects them. The third stage is concluding the material and giving homework assignments to compose, closing by providing motivation, apologizing, praying, and greeting; c. Learning evaluation, namely by assessing assignments at each meeting. 2) supporting factors include the enthusiasm of the students and ustadzah and the painstaking work of a Muslimah. 3) The results will be seen when there is a lailatul farihah event to foster students' creativity and appreciate the students' learning results for one year; apart from that, learning results are obtained by having evaluation scores above the KKM. 
Prediction of Patients' Illness Based on Average Temperature and Rainfall In Az-Zainiyah Clinic Using Backpropagation Method Hidayat, M Noer Fadli
TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Vol 2, No 3 (2021): Pengembangan Teknologi dan Kesehatan di Lembaga Keagamaan
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1324.742 KB) | DOI: 10.33650/trilogi.v2i3.3169

Abstract

The purpose of this study is to predict the type of disease in students based on the average temperature and rainfall at the Az-Zainiyah clinic using the backpropagation method. With this research, we hope that the prediction/estimation process on the type of patient's disease using the backpropagation artificial neural network method provides a solution with precise and accurate prediction results based on data on many patients, average temperature, and previous rainfall. This research is carried out through a process of predicting the type of disease by collecting time-series data from patient visit reports. The raw data obtained are examined for completeness and quality of the data. Then, the data was analyzed and applied to an artificial neural network method to predict the type of patient's disease based on many patients, average temperature, and rainfall. Furthermore, the artificial neural network will be optimized by the backpropagation algorithm. From this study, we find that the percentage of precision obtained in the experimental type of pharyngitis/sore throat disease in November 2020 with an average precision percentage is 68.92%, the best precision percentage is 90.25%, and the worst precision percentage 47.59%. In December 2020, the average precision percentage is 41.46%, with the best precision percentage being 65.55%, and the worst precision percentage 4.92%. In the type of dermatitis/itching disease in November 2020, the best precision percentage is 98.81%, the average precision percentage is 68.31%, and the worst precision percentage is -21.57 %. For December 2020, the average precision percentage is -63.27%, the best precision percentage is 48.37%, and the worst precision percentage is -183.85%.