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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Tasyri` : Jurnal Tarbiyah-Syari`ah-Islamiyah
Siti Norhasanah
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Computer Science & IT Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Other

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Klasterisasi Data Tenaga Kerja Terbuka Menurut Provinsi Dengan Penggunaan Algoritma K-Means Siti Norhasanah; Abdul Aziz
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 3 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i3.5701

Abstract

This research aims to provide valid and accurate information to the government to make appropriate decisions and policies in overcoming open unemployment in provinces in Indonesia with high unemployment rates. With an effective and efficient allocation of resources, it is hoped that economic development and social welfare will increase. Information mining is an iterative and intelligent cycle of finding new examples or models, which really helps to make sense of huge data sets. Information mining that contains the search for patterns or ideal examples in very large data sets to help make future choices. To test the information that has been broken down. The following is an explanation of the test using the rapidminer 9.9 programming. The linkages obtained between manual calculation calculations and the results to be shown by the rapidminer instrument and it is quite possible to reason that the consequences of manual estimation from the K-Means technique imply and from the Microsoft excel 2019 programming application are equivalent to information into the Rapidminer application. Research using data from 34 provinces shows that the k-means clustering method is successfully applied in data mining. Provincial unemployment data from 2019 to 2022 is used as the data source. The results of the analysis show that there are 2 clusters, namely 23 provinces with high unemployment cluster scores and 11 provinces with low unemployment cluster scores. That way the government can expand employment and overcome the problem of unemployment in the region.
VIDEO PEMBELAJARAN DENGAN APLIKASI CAPCUT PADA MATERI KHALIFAH UMAR BIN ABDUL AZIZ DI KELAS VIII MTS DARUL AMIN Hidayatullah Akbar Pratama; Siti Norhasanah
Tasyri’: Jurnal Tarbiyah – Syari’ah Islamiyah Vol 32 No 02 (2025): Oktober 2025
Publisher : LPPM STAI Ihyaul Ulum Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70281/4z2efh84

Abstract

Penelitian ini bertujuan untuk menganalisis kebutuhan media video animasi dalam pembelajaran materi Sejarah Umar bin Abdul Aziz pada siswa kelas VIII di MTS Darul Amin dengan menggunakan pendekatan kuantitatif. Pengumpulan data dilakukan melalui observasi, wawancara, dan angket yang melibatkan 25 siswa. Observasi partisipatif dilakukan untuk mengamati proses pembelajaran, sedangkan wawancara terhadap guru dan siswa bertujuan untuk memperoleh informasi tentang kebutuhan media pembelajaran yang efektif. Angket yang terdiri dari dua indikator yaitu kebutuhan media infografis dan kecenderungan gaya belajar digunakan untuk menilai sejauh mana siswa memanfaatkan media video animasi. Hasil penelitian menunjukkan bahwa meskipun ada larangan membawa telepon genggam ke sekolah, siswa masih memiliki akses terhadap perangkat tersebut di luar sekolah, yang menunjukkan potensi pemanfaatan media video animasi. Penelitian ini juga menekankan pentingnya dukungan dari pihak sekolah dalam menyediakan sarana belajar yang memadai. Dengan demikian, penggunaan media video animasi diharapkan dapat meningkatkan pemahaman siswa terhadap materi yang diajarkan.
Co-Authors Abdul Aziz Hidayatullah Akbar Pratama