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All Journal Jurnal Masharif al-Syariah: Jurnal Ekonomi dan Perbankan Syariah Jurnal Aplikasi Teknologi Pangan Jurnal Pengabdian Magister Pendidikan IPA Bulletin of Information Technology (BIT) International Journal of Education and Teaching Zone Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Semiotika-Q: Kajian Ilmu al-Quran dan Tafsir International Journal of Health, Engineering and Technology Jurnal Bima: Pusat Publikasi Ilmu Pendidikan Bahasa dan Sastra Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial Sevaka: Hasil Kegiatan Layanan Masyarakat
Putri Ramadani
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Penyuluhan Klasifikasi Gejala Keterlambatan Bicara (Speech Delay) Pada Anak Menggunakan Algoritma Naive Bayes, C4.5, Dan K-Nerest Neighbor (K-NN) Putri Ramadani; Ika Ima Nissa; Nur Indah Nasution; Baginda Restu Al Ghazali
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 2 No. 2 (2024): Mei : Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v2i2.534

Abstract

Speech delay in children is a developmental issue commonly encountered in society, which can affect various aspects of a child's life, including communication, social interaction, and academic development. Early detection of speech delay is crucial for providing appropriate interventions to minimize its long-term impact on the child. This study aims to introduce the use of machine learning algorithms in detecting speech delay symptoms in children. Three machine learning algorithms applied in this study are Naïve Bayes, C4.5, and K-Nearest Neighbor (K-NN). These algorithms are used to classify speech delay symptoms based on health data, medical history, and environmental factors such as speaking habits and eating patterns. The outreach was conducted at Puskesmas Kota Rantauprapat with the involvement of parents and healthcare providers as participants. The experimental results showed that all three algorithms performed well in terms of accuracy, though with varying error rates. Naïve Bayes achieved relatively high accuracy but had a higher false positive rate compared to C4.5 and K-NN. C4.5 provided more stable results and was easier to interpret due to its decision tree structure. Meanwhile, K-NN performed better with data that had irregular distribution. This outreach is expected to assist both the community and healthcare providers in early detection of speech delay in children, providing a more efficient and affordable means for early intervention, which ultimately leads to better outcomes for children with speech delay.
Sistem Teknologi Informasi dalam Mendukung Operasional Bank Syariah Modern Al Ramzy; Parulian Sibuea; Zulfahri Salim; Salwa Latipah; Putri Ramadani
Jurnal Masharif al-Syariah: Jurnal Ekonomi dan Perbankan Syariah Vol 9 No 5 (2024)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/jms.v9i5.25002

Abstract

Digital transformation has become a key driver in the changing landscape of the global financial industry, including Islamic banking. With the advancement of information technology, financial institutions strive to improve operational efficiency and provide better services to customers. This transformation includes not only the adoption of new technologies, but also changes in organizational culture and ways of interacting with customers.In this study using qualitative data types. The data source taken in this research is secondary data, where the data is obtained from literature both in the form of journals and reference books by studying, understanding, and examining things related to topics relevant to information systems can be understood as components that are integrated and interconnected in achieving certain goals, while information technology functions as a tool for producing, processing, and disseminating information to support company operations. In Islamic banking, information systems and technology play an important role in improving operational efficiency, service innovation, and compliance with sharia principles.
Strategi Pengelolaan Sampah yang Efektif di Masyarakat Lisa Dwi Afri; Fauziah Mawaddah Harefa; Meri Muliani Hasibuan; Nazira Ananda; Putri Ramadani; Wahyu Wahono
Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial Vol. 1 No. 3 (2024): Agustus : Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karya.v1i3.360

Abstract

The lack of waste management in the community of Kampung Benar Dusun VI Village, Kota Pari, Pantai Cermin District, Serdang Bedagai Regency is due to the limited knowledge and understanding of waste management in general. People still think that waste management is not important because people think that their waste will decompose by itself without thinking that this will have a huge impact if the waste continues to be left unmanaged. One way to support this waste management program is through a waste bank. A waste bank is a place that is used to make it easier for the public to sort waste, then the sorted waste will be deposited at a factory that makes crafts from waste or at a waste collection point. The aim of this research is to determine community knowledge regarding waste management, analyze existing waste management in the community and find out what strategies are effective for waste management. The method used by researchers is an integrated counseling method and systematic training. Data was collected by observing in the field and conducting in-depth interviews with informants. The results of the research show that after providing outreach to the community that waste management is important, the community also understands better about good waste management and knows effective waste management strategies to implement using the 3R system.
Co-Authors Ade Irma Yanti Hasibuan Akmal Akmal Al Ramzy Awaludin Baginda Restu Al Ghazali Dikie Rezekia Dinda Fatimatuz Zahra Fatwa Aulia Fauziah Mawaddah Harefa Fitriyani Nasution Habibah, Fitriatul Hargono Hargono Helmawati Hery Sunandar Igha Devira Pristine Ika Ima Nissa Khistinah Haryani Lale Hidayatin Shani Lalu Maulana Kusumaningrat Lisa Dwi Afri Magistra Sayyidina Al Kautsar Meri Muliani Hasibuan Mhd.Furqan Mira Anggraini Muhammad Albadar Adren Muhammad Muayyadin Nazira Ananda Nazwa Khaerinnita Noer Abyor Handayani Nur Aisyah Pandia Nur Indah Nasution Nurhilallaily Parulian Sibuea Rabiatul Adawiyah Ridwan Sholeh Riszki Fadillah Riyan Agus Faisal Rohani Salwa Latipah Santosa Pohan Saprina Putri Utama Ritonga Sentosa Pohan Septa Viani Sri Muliani Sukiyat, Sukiyat Tiwi Widiastuti Tria Putri Andini Wahyu Wahono Yori Marwinda Yusril Iza Mahendra Hasibuan Zulfahri Salim