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THE CONCEPT OF MULTICULTURAL ISLAMIC EDUCATIONAL VALUES IN HIGHER EDUCATION (Phenomenology study on MKDU at STKIP PGRI Sidoarjo) Abd Syakur; Abdul Muid; Lutfi Hakim; M. Khusni Mubarok
Dirosat : Journal of Islamic Studies Vol 7, No 2 (2022): Dirosat: Journal of Islamic Studies
Publisher : Institut Dirosat Islamiyah Al-Amien Prenduan Sumenep

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28944/dirosat.v7i2.1025

Abstract

The process of instilling the values of multicultural Islamic education basically emphasizes the principles of mutual understanding, respect, respect, fairness, tolerance, and equality to create harmony and keep away from intolerant practices between religious communities. The principle of value in the view of Islam does not regard differences in religion, race, ethnicity, and culture as issues that must be opposed. This study aims to determine the results of the concepts and principles and the process of instilling the values of multicultural Islamic education through the basic course material at STKIP PGRI Sidoarjo. This study used a qualitative approach with descriptive analytic data analysis. Data collection was carried out by interview, observation, and documentation techniques. Data analysis techniques include data reduction, data presentation, and drawing conclusions. Checking the validity of the findings was carried out using source and method triangulation techniques. The results of this study indicate that the concepts of instilling the values of multicultural education at STKIP PGRI Sidoarjo are based on several principles of openness, tolerance, togetherness, and unity in diversity based on an understanding of Islam that is rahmatan lil'alamin. Multicultural knowledge contains knowledge about the values of multicultural Islamic education, while multicultural feeling includes instilling a multicultural sense in students. Based on this, Islam is able to create harmony and peace, so Islamic education with a multicultural spirit needs to be provided and included in the higher education curriculum
Pengaruh Reduksi Fitur Pada Klasifikasi Kanker Paru Menggunakan CNN Dengan Arsitektur GoogLeNet Siti Nur Fadilah; Dian Candra Rini Novitasari; Lutfi Hakim
Jurnal Fourier Vol. 12 No. 1 (2023)
Publisher : Program Studi Matematika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/fourier.2023.121.20-32

Abstract

Kanker paru merupakan jenis kanker dengan penyebab kematian terbanyak. Penelitian ini bertujuan untuk mengklasifikasikan jenis kanker paru apakah termasuk kedalam kelas lung adenocarcinoma, benign lung tissue, lung squamous cell carcinoma berdasarkan citra histopatologi menggunakan metode CNN arsitektur GoogLeNet serta reduksi fitur PCA. Evaluasi model yang digunakan pada penelitian ini menggunakan confusion matrix. Data yang digunakan dalam penelitian ini sejumlah 15000 data yang terbagi menjadi 3 kelas dengan masing-masing kelas berjumlah 5000 data. Pada penelitian ini parameter uji coba yang digunakan yaitu probabilitas dropout dan jumlah batchsize. Lalu, metode reduksi fitur yang digunakan yaitu PCA. Hasil terbaik yang diperoleh yaitu pada pembagian data 90:10 dengan nilai probabilitas dropout 0.9 dan jumlah batchsize 8 dengan memperoleh nilai akurasi, sensitivitas, spesifitas berturur-turut yaitu 99.95%, 99.97%, dan 99.86% serta membutuhkan waktu training selama 93 menit 27 detik.