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All Journal Lentera Pendidikan : Jurnal Ilmu Tarbiyah dan Keguruan Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Cordova Jurnal Pharmauho: Jurnal Farmasi, Sains, dan Kesehatan Morality :Jurnal Ilmu Hukum Jurnal Ilmiah Telaah Cetta: Jurnal Ilmu Pendidikan JOURNAL OF SCIENCE AND SOCIAL RESEARCH El-Tsaqafah: Jurnal Jurusan PBA Jurnal Ilmiah Mandala Education (JIME) MABASAN PREPOTIF : Jurnal Kesehatan Masyarakat Jurnal Ilmiah Profesi Pendidikan JURNAL MANAJEMEN PENDIDIKAN Jurnal Bastrindo: Kajian Pendidikan Bahasa dan Sastra Indonesia Jurnal Cahaya Mandalika Jurnal Ilmiah Wahana Pendidikan Kode : Jurnal Bahasa Jurnal Pepadu International Journal of Education and Digital Learning (IJEDL) Genius Midwifery Journal Jurnal Ilmiah Ekonomi, Manajemen dan Syariah Jurnal Review Politik Innovative: Journal Of Social Science Research Jurnal Pendidikan dan Pengabdian Masyarakat Maktabatun: Jurnal Perpustakaan dan Informasi Kopula: Jurnal Bahasa, Sastra, dan Pendidikan Jurnalistrendi: Jurnal Linguistik, Sastra dan Pendidikan Pangale Journal of Forestry and Environment Journal of Golden Generation Economic Indonesian Journal of Education and Community Services EL TSAQAFAH
Muhammad Sukri
Universitas Mataram
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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KESALAHAN PENGGUNAAN AFIKSASI DI MEDIA SOSIAL INSTAGRAM: KAJIAN MORFOLOGIS Nia Agustina; Mahsun Mahsun; Muhammad Sukri
El-Tsaqafah : Jurnal Jurusan PBA Vol. 22 No. 1 (2023): Juni 2023
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/tsaqafah.v22i1.7257

Abstract

This study investigates the inaccuracy of utilizing affixes on Instagram social media based on morphological investigations. This is a qualitative study based on normative norms derived from conventional Indonesian grammar. The data in this study are attached words that exhibit abnormalities in their use on the Instagram social media platform. This study’s data collection method includes observation, documentation, and notes. Furthermore, the data analysis method employs the intralingual equivalent method. Based on data analysis, this study’s findings reveal errors in afiixation process, including prefixation, suffixation, and confixation errors. On prefixation errors, there are prefix errors {m??-}, prefix errors {p??-}, prefix errors {p?r-}, prefix errors {b?r-}, and prefix errors {t?r-}. Then the problems in suffixatiion include faults in the suffixes errors {-in}, suffixes errors {-an}, suffixes errors {-kan}, and suffixes errors {-i}. Meanwhile, confixation errors were founded confix errors {k?-an} and confix errors {p??-an}.
REDUPLIKASI SEMANTIS DALAM PEMBENTUKAN KATA BAHASA REMPUNG KAJIAN PERSPEKTIF DIAKRONIS Yeni Muzianti; Mahsun Mahsun; Muhammad Sukri
El-Tsaqafah : Jurnal Jurusan PBA Vol. 23 No. 1 (2024): April 2024
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/tsaqafah.v23i1.9873

Abstract

The study investigates semantic reduplication in the Rempung language, aiming to elucidate its forms, functions, and meanings. Employing a qualitative descriptive approach, the research gathers data in the form of words or phrases that exhibit semantic reduplication. Data analysis methods include introspection and the speech method, encompassing direct and indirect speech, note-taking, and recording. With a diachronic perspective, the research utilizes the intralingual Equivalence method, employing both basic and advanced comparison techniques. The analysis results are presented formally and informally. The study draws upon the Simatupang theory and identifies seven forms of semantic reduplication across three categories. Semantic reduplication in the Rempung language serves two functions: inflection and derivation, each carrying nuanced meanings
ANALISIS TINGKAT KEPARAHAN COVID-19 DI SUATU NEGARA MENGGUNAKAN METODE K-MEDOID CLUSTERING Amelia, Syahputri; Yusri, Eldo; Irwansyah, Bambang; Andira, Ayu; Sukri, Muhammad; Yafi, Muhammad Fauzan; Affandi, Muhammad
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5787

Abstract

Abstract: This study aims to classify the severity of COVID-19 cases based on patient and region data using the K-Medoid Clustering method. COVID-19 has varying degrees of symptom severity, requiring cluster analysis to identify severity patterns to support decision-making in healthcare resource allocation and policy formulation. The data used included the number of positive cases, recovered cases, deaths, the average age of patients, and comorbidity levels. The results showed that the K-Medoid method was able to effectively cluster the data. In the raw dataset, the percentage of patients not infected with COVID-19 was 62.62%, while the percentage of infected patients was 37.38%. Based on sample characteristics, non-obese patients accounted for 74.54%, obese patients 25.46%, and patients with a combination of obesity and cardiovascular disease 0.57%. Keywords: Covid-19, Severity, K-Medoid Clustering, Data Mining Abstrak: Penelitian ini bertujuan untuk mengelompokkan tingkat keparahan kasus COVID-19 berdasarkan data pasien dan wilayah menggunakan metode K-Medoid Clustering. COVID-19 memiliki variasi tingkat keparahan gejala, sehingga diperlukan analisis klaster untuk mengidentifikasi pola keparahan yang mendukung pengambilan keputusan dalam alokasi sumber daya kesehatan dan perumusan kebijakan. Data yang digunakan meliputi jumlah kasus positif, kasus sembuh, kasus meninggal, usia rata-rata pasien, serta tingkat komorbiditas. Hasil penelitian menunjukkan bahwa metode K-Medoid mampu melakukan pengelompokan data secara efektif. Pada dataset mentah, persentase pasien tidak terjangkit COVID-19 sebesar 62,62%, sedangkan pasien terjangkit sebesar 37,38%. Berdasarkan karakteristik sampel, pasien non-obesitas memiliki persentase 74,54%, pasien obesitas 25,46%, dan pasien dengan kombinasi obesitas serta penyakit kardiovaskular sebesar 0,57%. Kata Kunci : Covid-19, Tingkat Keparahan, K-Medoid Clustering, Data Mining
Co-Authors Affandi, Muhammad Ahlun Ansar Ahmad Sirulhaq Al Faruq, Suhaib Amelia, Syahputri Andriansyah Andriansyah Anugrah, Alfiani Ariani Saputri , Chandra Arismunandar Arismunandar Asrin Asrin Aswandikari Atmanegara, Lalu Kusnendar Ayu Andira Ayuni, Ervina Azzara Azwan, Anisah Badruddin, Kartini Budirman Bachtiar Bukran Habibullah Burhan Burhan Burhanuddin Burhanuddin Burhanuddin Burhanuddin Darma, Sidrah Darmiany Efendi, Satria Ghiat Aditiya Ramdani Haeria Haeria Hafis Bin Amat Simin, Mohamad Harahap, Muhammad Ikhsan Hartini, Dina Hasibuan, Amnah Faridah Imamul Haramain Irma Setiawan, Irma Irundu, Daud Irwansyah, Bambang Ishak Hariyanto, Ishak Jannah, Nisa Ul Johan Mahyudi Mahyudi Johan Mahyudi, Johan Jurnal Pepadu Kaharuddin Kamil, Abdul Khairul Paridi Mahmudi Effendi Mahsun Mahsun Mahsun Mahsun Mahsun Mahyuni Mahyuni Maylani, Rani Moch Asyar Mr. Mukrimin Muhaimin, Ahmad Helmi Muhammad Hamdi Mulyadi, Irvan Musaddat, Syaiful Muzianti, Yeni N. Nurjanah Nabila, Fadya Nasaruddin Ali Nia Agustina Nita Wijayanti, Ni Putu Nur Istiqomah Nurhayati Nurhayati Nyoman Yudika Qadhawijayanti , Suci Raden Mohamad Herdian Bhakti Rahmad Hidayat Rusdiawan Rusdiawan S, Aswandikari Saharuddin Saharudin Saharudin Saharudi Saharudin Saharudin Solihan, Solihan Sri Ramdhani, Andi Suarni Suarni sukri Sukri, sukri Syahbudin Syahbudin Syahriani Syahriani, Syahriani syarifuddin Tiara Putri Suciana Wawan Irawan, Wawan Wini Erlina Yafi, Muhammad Fauzan Yeni Muzianti Yusri, Eldo Zainur, Zainur