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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat Empiricism Journal Journal of Digital Literacy and Volunteering Journal of Digital Literacy and Volunteering SainsTech Innovation Journal
RS, Asmaul Husna
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Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Analisis Metode Klasifikasi Penyakit Bell's Palsy Menggunakan Machine Learning RS, Asmaul Husna; Permata, Reny Amalia
Empiricism Journal Vol. 5 No. 1: June 2024
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ej.v5i1.1610

Abstract

Bell’s Palsy adalah satu kondisi yang mempengaruhi saraf wajah, yang menyebabkan kelemahan atau kelumpuhan tiba-tiba pada otot di satu sisi wajah. Klasifikasi Penyakit Bells’ Palsy sangat penting untuk diagnosis dan prognosis yang akurat. Dalam beberapa tahun terakhir, Algoritma pembelajaran mesin telah dieskplorasi sebagai alat potensial untuk mengklasifikasikan penyakit Bell’s Palsy berdasarkan jenis data, seperti informasi klinis,  data pencitraan dan elektrodiagnostik. Dalam tinjauan Pustaka sistematis ini, kami menganalisis keadaan peneliti saat ini tentang penggunaan algoritma mesin learning untuk mengklasifikasikan penyakit Bell’s Palsy, dengan metode Sistematic Literatur Riview (SLR) dengan mengumpulkan hasil penting dari literatur yang dikaji. Hasil penemuan kami menunjukkan beberapa penelitian telah menggunakan berbagai jenis algoritma mesin learning seperti Support Vector Machine (SVM) dan Convolutional Neural Network (CNN). Algortima tersebut menunjukkan tingkat akurasi yang tinggi dalam mengklasifikasikan penyakit Bell’s Palsy dan memprediksi tingkat keparahan atau hasilnya. Namun penelitian lebih lanjut diperlukan untuk memvalidasi temuin ini dan mengeksplorasi potensi penggunaan jenis data lain untuk tujuan klasifikasi. Penggunaan algortima mesin learning untuk klasifikasi penyakit Bell’s palsy berpotensi meningkatkan akurasi diangnosisi dan prognosis serta meningkatkan penatalaksanaan kondisi ini secara keselruhan dengan menggunakan berbagai macam data dengan menganalisisnya secara akurat sehinga dokter dapat merencakan perawatan yang disesuaikan dengan kebutuhan unik pasien dengan memprediksi tingkat keparahan dan hasil pengobatan. Analysis of Bell's Palsy Disease Classification Methods Using Machine Learning Abstract Bell's palsy is a condition that affects the facial nerves, causing sudden weakness or paralysis of the muscles on one side of the face. The classification of Bell's palsy disease is crucial for accurate diagnosis and prognosis. In recent years, machine learning algorithms have been explored as a potential tool to classify Bell’s palsy disease based on data types such as clinical information, imaging data, and electrodiagnostics. In this systematic review of the library, we analyzed the current state of research on the use of machine learning algorithms to classify Bell’s palsy disease using the Riview Systematic Literature (SLR) method by collecting important results from the literature studied. Our findings suggest that some studies have used different kinds of machine learning algorithms, such as support vector machines (SVM) and convolutional neural networks . (CNN). The algorithm shows a high degree of accuracy in classifying Bell's palsy disease and predicting its severity or outcome. But further research is needed to validate these findings and explore the potential use of other types of data for classification purposes. Using machine learning algorithms to classify Bell's palsy disease has the potential to improve the accuracy of anginosis and prognosis as well as the implementation of the condition in a comprehensive way by using a wide range of data and analyzing it accurately, so long as doctors can plan treatment that is tailored to the unique needs of patients by predicting the severity and outcome of treatment.
Analisis Peranan Pemilih Pemula dan Pentingnya Teknologi Digital Untuk Pemilihan Umum 2024 di Indonesia (Studi Kasus: Pemilih Pemula SMA Negeri 20 Makassar) Tamrin, Usman; RS, Asmaul Husna; Arsyad, Andi Asyhary J.; Umar, Najirah; Kurniawan, Dody
Journal of Digital Literacy and Volunteering Vol. 2 No. 2 (2024): July
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v2i2.89

Abstract

This research aims to analyze the role of first-time voters, particularly high school students at SMA Negeri 20 Makassar, in facing the 2024 General Election through the utilization of digital media. The research method employed is descriptive quantitative method with the study population encompassing all students of SMA Negeri 20 Makassar, with a sample size of 208 individuals selected using random sampling method. The results of the study indicate that first-time voters can easily access political information in the current digital era through various online platforms such as social media, news websites, and political information portals. In this study, digital literacy emerges as significantly crucial in assisting students to comprehend the necessary technology and skills required to manage online information, with a success rate of digital literacy reaching 61%. The political perceptions of first-time voters are greatly influenced by social media, which serves as the primary platform. Good digital literacy enables them to access information quickly and evaluate the balance and authenticity of the information presented. Therefore, digital literacy aids students in forming critical attitudes toward political content disseminated on social media. Additionally, they also learn about the role of technology in shaping mature political views for the 2024 General Election.
Analisis Peranan Pemilih Pemula dan Pentingnya Teknologi Digital Untuk Pemilihan Umum 2024 di Indonesia (Studi Kasus: Pemilih Pemula SMA Negeri 20 Makassar) Tamrin, Usman; RS, Asmaul Husna; Arsyad, Andi Asyhary J.; Umar, Najirah; Kurniawan, Dody
Journal of Digital Literacy and Volunteering Vol. 2 No. 2 (2024): July
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v2i2.89

Abstract

This research aims to analyze the role of first-time voters, particularly high school students at SMA Negeri 20 Makassar, in facing the 2024 General Election through the utilization of digital media. The research method employed is descriptive quantitative method with the study population encompassing all students of SMA Negeri 20 Makassar, with a sample size of 208 individuals selected using random sampling method. The results of the study indicate that first-time voters can easily access political information in the current digital era through various online platforms such as social media, news websites, and political information portals. In this study, digital literacy emerges as significantly crucial in assisting students to comprehend the necessary technology and skills required to manage online information, with a success rate of digital literacy reaching 61%. The political perceptions of first-time voters are greatly influenced by social media, which serves as the primary platform. Good digital literacy enables them to access information quickly and evaluate the balance and authenticity of the information presented. Therefore, digital literacy aids students in forming critical attitudes toward political content disseminated on social media. Additionally, they also learn about the role of technology in shaping mature political views for the 2024 General Election.
Analisis Integrasi Media Sosial Dalam Proses Edukasi Generasi Z RS, Asmaul Husna; Mindi Richia Putri; Muhammad Ari Rifqi
SainsTech Innovation Journal Vol. 8 No. 1 (2025): SIJ VOLUME 8 NOMOR 1 TAHUN 2025
Publisher : LPPM Universitas Qamarul Huda Badaruddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37824/sij.v8i1.2025.1073

Abstract

Kemajuan teknologi informasi saat ini selalu berdampingan dengan proses dan aktivitas manusia. Teknologi informasi telah meresap ke semua segmen masyarakat, dari generasi muda, generasi tua, hingga anak-anak, terlebih lagi di dalam dunia pendidikan. Siswa yang saat ini merupakan generasi z sangat aktif dalam menggunakan media sosial, dari fakta tersebut penulis merasa perlu untuk mengintegrasikan media sosial ke dalam edukasi generasi z. Tujuan penulisan artikel ini untuk mengetahui: (1) media sosial yang dapat diintegrasikan kedalam edukasi generasi z; dan (2) cara mengintegrasikan media sosial kedalam edukasi generasi z. Metodologi penelitian yang digunakan yaitu kajian pustaka (library research). Media sosial yang dapat diintegrasikan ke dalam proses pelaksanaan edukasi generasi z yaitu facebook, whatsapp, twitter, dan instagram. Pemilihan ini didasarkan pada populernya aplikasi media sosial dikalangan generasi z, dan semua generasi z telah menggunakannya. Adapun cara mengintegrasikan media sosial kedalam edukasi generasi z, yaitu dengan cara memanfaatkan media sosial facebook, whatsapp, twitter, dan instagram sebagai media edukasi. Pada prakteknya media sosial ini dapat digunakan sebagai virtual class, wadah diskusi, wadah berbagi bahan pelajaran, berbagi video dan gambar, serta berbagi link informasi seputar pelajaran.
DIGITALIZATION OF DANGKE MELONA SMES: BOOSTING SALES THROUGH E-COMMERCE Arsyad, Andi Asy’hary J.; Tamrin, Usman; Umar, Najirah; RS, Asmaul Husna; Lande, Janisa Pascawati
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.40238

Abstract

UMKM Dangke Melona di Kabupaten Enrekang menghadapi tantangan signifikan dalam memanfaatkan teknologi digital untuk memperluas pasar mereka di tingkat nasional dan internasional. Dalam konteks globalisasi ekonomi yang semakin pesat, transformasi digital menjadi kunci keberhasilan usaha kecil dan menengah, terutama dalam menjangkau konsumen di luar batas-batas geografis. Program Pengabdian kepada Masyarakat ini dirancang untuk mendukung transformasi digital UMKM Dangke Melona melalui peningkatan literasi digital dan implementasi strategi pemasaran digital yang komprehensif. Metode pelaksanaan program meliputi sosialisasi, pelatihan, dan pendampingan dalam pengelolaan media sosial, pengembangan website, serta optimalisasi penggunaan e-commerce. Hasil dari program ini menunjukkan adanya peningkatan signifikan dalam jumlah pengikut di media sosial, peningkatan penjualan produk melalui platform e-commerce, serta terbentuknya kemitraan dengan distributor nasional dan internasional. Dengan demikian, program ini tidak hanya meningkatkan kemampuan teknis dan manajerial UMKM Dangke Melona, tetapi juga membuka peluang bagi mereka untuk bersaing di pasar global.
Analisis Peranan Pemilih Pemula dan Pentingnya Teknologi Digital Untuk Pemilihan Umum 2024 di Indonesia (Studi Kasus: Pemilih Pemula SMA Negeri 20 Makassar) Tamrin, Usman; RS, Asmaul Husna; Arsyad, Andi Asyhary J.; Umar, Najirah; Kurniawan, Dody
Journal of Digital Literacy and Volunteering Vol. 2 No. 2 (2024): July
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v2i2.89

Abstract

This research aims to analyze the role of first-time voters, particularly high school students at SMA Negeri 20 Makassar, in facing the 2024 General Election through the utilization of digital media. The research method employed is descriptive quantitative method with the study population encompassing all students of SMA Negeri 20 Makassar, with a sample size of 208 individuals selected using random sampling method. The results of the study indicate that first-time voters can easily access political information in the current digital era through various online platforms such as social media, news websites, and political information portals. In this study, digital literacy emerges as significantly crucial in assisting students to comprehend the necessary technology and skills required to manage online information, with a success rate of digital literacy reaching 61%. The political perceptions of first-time voters are greatly influenced by social media, which serves as the primary platform. Good digital literacy enables them to access information quickly and evaluate the balance and authenticity of the information presented. Therefore, digital literacy aids students in forming critical attitudes toward political content disseminated on social media. Additionally, they also learn about the role of technology in shaping mature political views for the 2024 General Election.
Co-Authors Arsyad, Andi Asyhary J. Arsyad, Andi Asy’hary J. DODY KURNIAWAN Lande, Janisa Pascawati Mindi Richia Putri Muhammad Ari Rifqi Najirah Umar Permata, Reny Amalia Tamrin, Usman