Nurbaiti, Intan
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Strategi Pembelajaran Berbasis Multiple Intelligences pada Mata Pelajaran Fiqih Kelas VII di MTs Hubbulwathan Kecamatan Mandau, Kabupaten Bengkalis Riau Nurbaiti, Intan; Ilmi, Darul
ALSYS Vol 3 No 3 (2023): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsys.v3i3.1041

Abstract

The background of this research is that problems were found in the implementation of learning strategies based on multiple intelligences carried out by Fiqh teachers. Based on the results of the pre-observation, it was found that many Fiqh teachers still found students who were less active in the learning process, even though the teacher had implemented a learning strategy based on multiple intelligences. The purpose of this research is to describe the implementation of learning strategies based on multiple intelligences in class VII Fiqh subjects at MTs Hubbulwathan, Mandau subdistrict, Bengkalis district, Riau. To find out the supporting and inhibiting factors in the implementation of learning strategies based on multiple intelligences in class VII Fiqh subjects at MTs Hubbulwathan, Mandau sub-district, Bengkalis district, Riau. This study uses a type of field research (field research) with a qualitative descriptive approach. This research was conducted at MTs Hubbulwathan, Mandau sub-district, Bengkalis district, Riau. The informants in this study were Fiqh teachers and class VII students. Data collection techniques in this study were observation, interviews and documentation. Based on the results of the research that the authors have done, the results show that: learning strategies based on multiple intelligences implemented by Fiqh teachers are using tests, observing student activities inside and outside the classroom, collecting and understanding student documentation data and planning the learning process. In the implementation carried out by Fiqh teachers, the intelligence developed is linguistic intelligence, bodily-kinestic intelligence, interpersonal intelligence, intrapersonal intelligence. In its implementation students are facilitated by methods that are in accordance with student intelligence. So it can be concluded that of the five implementations of the learning strategies used by Fiqh teachers in class only fulfill two points of implementation, this is the reason why Fiqh teachers still find students not active in the learning process. Supporting factors for the implementation of learning strategies based on multiple intelligences are facilities and infrastructure that are almost complete so as to support the learning process using learning strategies based on multiple intelligences. The inhibiting factors for the implementation of learning strategies based on multiple intelligences are the lack of learning time and incomplete facilities.
Klasifikasi Sentimen Terhadap Kebijakan PHK 55 Ribu Karyawan oleh BT Group menggunakan Algoritma Klasifikasi Naive Bayes Charisma, Muhammad Obie; Hamzah, Muhammad Farid; Erwin, Muhammad; Nurbaiti, Intan; Kurniawan, Fandi
Journal of Computer and Information Systems Ampera Vol. 5 No. 2 (2024): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v5i1.465

Abstract

Artikel penelitian ini membahas analisis sentimen terkait kebijakan PHK yang dilakukan oleh BT Group terhadap 55 ribu orang karyawan sebagai dampak dari penggunaan kecerdasan buatan (AI). Metode Naive Bayes digunakan untuk melakukan klasifikasi sentimen pada komentar-komentar yang muncul pada platform YouTube terkait kebijakan tersebut. Tujuan utama dari analisis ini adalah untuk memahami respons dan sentimen yang muncul dari masyarakat terhadap kebijakan PHK yang diambil oleh BT Group. Dengan menggunakan metode Naive Bayes, artikel ini bertujuan untuk memberikan wawasan yang mendalam tentang bagaimana teknologi kecerdasan buatan dapat memengaruhi kebijakan perusahaan terkait PHK, serta respons masyarakat terhadap kebijakan tersebut berdasarkan analisis sentimen yang dilakukan. Dengan demikian, artikel ini diharapkan dapat memberikan kontribusi dalam pemahaman terhadap dampak penggunaan teknologi AI dalam konteks kebijakan perusahaan, serta respons masyarakat terhadap kebijakan tersebut berdasarkan analisis sentimen yang dilakukan.