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All Journal al-Afkar, Journal For Islamic Studies Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Jurnal Pendidikan Matematika
Muhammad Sabirin
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering Mathematics Social Sciences

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PENERAPAN METODE PRINCIPAL COMPONENT ANALYSIS (PCA) DAN K-NEAREST NEIGHBORS (KNN) UNTUK KLASIFIKASI DATA KANKER PARU-PARU Jaelani Muhammad Akbar; Muhammad Sabirin; Gibran Satya Nugraha; Noor Alamsyah
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 4 No 2 (2022): September 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v4i2.232

Abstract

Diseases related to breathing can be identified from the throat or the main airways, namely the lungs. It is caused by the spread of certain cells in the lungs and uncontrolled cell growth. Because lung nodules using chest X-ray imaging cannot be detected quickly, interpreting these diagnostic photographs becomes a repetitive and very complicated task. Image pre-processing, detection of malignancy classification, and candidate nodules can be used as parameters in classification. By analyzing CT scan images using an artificial intelligence approach, machine learning techniques help in early diagnosis and evaluation of lung nodules. This system is referred to as a decision support system that examines the image through the process of pre-processing, segmentation, feature extraction, and classification. Processing of lung cancer datasets to classify cancer and non-cancer samples using the Principal Component Analysis (PCA) feature extraction method and the K-Nearest Neighbor (KNN) classification method with values ​​of K = 1, 3, 5, 7, 9. From the research that has been done, the best accuracy results are 98%, namely at K = 9. It can be concluded that the PCA feature extraction method and K-NN classification are suitable for processing lung cancer datasets.
Profil Kemampuan Matematika Dasar Mahasiswa Program Studi Pendidikan Matematika Tahun Akademik 2013/2014 Muhammad Sabirin; Analisa Fitria; Seri Ningsih
Jurnal Pendidikan Matematika VOLUME 2 NOMOR 2 JUNI 2015
Publisher : UIN Antasari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18592/jpm.v2i2.1173

Abstract

Kemampuan Matematika Dasar adalah kemampuan yang sangat penting dan harus dimiliki setiap mahasiswa sebagai bekal untuk menempuh perkuliahan di program studi Pendidikan Matematika. Tujuan penelitian ini adalah untuk mengetahui bagaimana profil kemampuan matematika dasar mahasiswa baru jurusan Pendidikan Matematika tahun akademik 2013/2014. Subjek penelitian berjumlah 133 mahasiswa, 92 berasal dari jurusan IPA dan 41 dari non-IPA. Hasil penelitian menunjukkan bahwa kemampuan matematika dasar mahasiswa baru berada pada kategori rendah; kemampuan matematika dasar mahasiswa baru yang berasal dari jurusan IPA berada pada kategori rendah dan kemampuan matematika dasar mahasiswa baru yang berasal dari jurusan non-IPA berada pada kategori sangat rendah.
Dynamics Of The Sinoman Hadrah Al Irsyad Tradition, Kintapura Village, Kintap District, Tanah Laut District, 2010-2022 Muhammad Sabirin; Rusdi Effendi; Daud Yahya
al-Afkar, Journal For Islamic Studies Vol. 8 No. 1 (2025)
Publisher : Perkumpulan Dosen Fakultas Agama Islam Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/afkarjournal.v8i1.1333

Abstract

Sinoman Hadrah consists five or six poetry singers well as tambourine players, then jellyfish umbrella players and accompanied Sinoman Hadrah dancers numbering 20 to 30 people based on number of members while holding small triangular flags inscribed with Arabic letters (Asmaul Husna). The research method in this article is a historical method consisting of the processes of historiography, heuristics, criticism and interpretation used in this research. The author has ensured that the sources used in the research are trustworthy. Among them are Mr. Guru Marhani, Abdul Manap, Muhammad Helman, Rian Sidiq, Muhammad Seman Alfarisi, Emansyah, Middad H. Rahmadi, Masliani, and Mr. Guru Marhani. They include Coach Sinoman Hadra Al Irsyad and his members, as well as the Kintapura community. After ensuring existing sources meet the requirements as candidates for the interview. After obtaining the required data, the researcher analyzes and presents the research results using historiography. The results of the research show that the existence the Sinoman Hadrah Al Irsyad Tradition experiences setbacks and developments every year. caused several factors such as not knowing the origins the Sinoman Hadrah Al Irsyad Tradition, the lack of interest of young people in taking part as well as the role of citizens in maintaining its existence. This research aims to find out the origins of the Sinoman Hadrah Al Irsyad Tradition as well as the dynamics of the reduction and development of Sinoman Hadrah Al Irsyad so that the role of the Kintapura community in maintaining its existence will remain with the community.
Co-Authors Analisa Fitria Daud Yahya Gibran Satya Nugraha Jaelani Muhammad Akbar Noor Alamsyah Rusdi Effendi Seri Ningsih