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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Penelitian dan Pengembangan Pendidikan Luar Biasa Jurnal Pengabdian Masyarakat Bangsa
Utami, Annisa Putri
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The Effectiveness of Video “6 Steps Hands Wash” to Improve the Capability Hand Washing for Children with Intellectual Disability Utami, Annisa Putri; Pujaningsih, Pujaningsih
Jurnal Penelitian dan Pengembangan Pendidikan Luar Biasa Vol 8, No 2 (2021): December
Publisher : Department of Special Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um029v8i22021p24-30

Abstract

This study aims to determine the effectiveness of the "6 - step hand washing" video media to improve the ability to wash hands properly in children with intellectual disability. A student in grade 7th with mild intelectual disability participated in this A1 – B1 – A2 single subject study design. Subject obtained the mean level increased from 30.67 in the phase baseline – 1 (A1) to 54.5 in the intervention phase (B) and 59.33 in the phase baseline – 2 (A2). Changes in the data level experienced an increase in the score, namely from the phase baseline – 1 (A1) to the intervention phase (B) is increased by +18, while in the intervention phase (B) to the phase baseline – 2 (A2) is increased by +2. Data overlap in an analysis of the condition of 0%, which means the video media "hand washing 6 steps" to improve the ability to effectively wash hands properly on the child intellectual disability mild category. There is a need to replicate the study design to increase the external validity and generalization results. The strategies described in the present study may also be useful for special teachers who teach individual with intellectual disability to gain a proper hand washing skills in various context (e.g., home, schools, and public areas).Keywords: video, hand washing, children with intellectual disability
Pembuatan Nugget Ikan Sarden Belang untuk Peningkatan Konsumsi Ikan di Desa Citradamai Rehansyah , Muhamad Alfi; Utami, Annisa Putri; Fahrul, Asyraf; Aritonang, Daniel Anugrah; Aureli, Devanya; Pinem, Devi Kristiani Br; Hutabarat, Joplin Oliver; Pandiangan, Kiki Arlina; Delia, Rahma; Damanik, Rianita
Jurnal Pengabdian Masyarakat Bangsa Vol. 2 No. 7 (2024): September
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v2i7.1300

Abstract

Ikan memegang peranan penting dalam pemenuhan sumber gizi dan keamanan hidup bagi manusia, namun sayangnya banyak sekali orang yang tidak mau mengonsumsi ikan. Rendahnya konsumsi ikan di Desa Citradamai menjadi perhatian, karena dapat menyebabkan kekurangan gizi, terutama pada anak-anak yang memerlukan pola makan seimbang. Program pengabdian masyarakat ini bertujuan untuk mengatasi masalah tersebut dengan mempromosikan konsumsi ikan melalui pembuatan nugget ikan sarden belang, produk olahan ikan yang bergizi dan menarik untuk berbagai kalangan usia. Pendekatan yang digunakan adalah dengan menyelenggarakan pelatihan praktis bagi ibu-ibu PKK, di mana mereka dilatih membuat nugget sarden. Metode ini memungkinkan peserta untuk terlibat langsung dalam proses persiapan, meningkatkan pemahaman dan keterampilan mereka dalam pengolahan ikan. Hasilnya menunjukkan peningkatan kemampuan peserta dalam mengolah ikan, serta antusiasme yang lebih tinggi di antara mereka untuk memperkenalkan produk berbasis ikan kepada keluarga mereka. Program ini berhasil meningkatkan konsumsi ikan di desa, yang berkontribusi pada praktik gizi dan kesehatan yang lebih baik.
Comparison between Statistical Approaches and Data Mining Algorithms for Outlier Detection Utami, Annisa Putri; Fitrianto, Anwar; Notodiputro, Khairil Anwar
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 9, No 1 (2024): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v9i1.25450

Abstract

Outliers are observation values that are very different from most observations. The presence of outliers in data can have a negative impact on research but can contain important information for other research. So, identifying outliers before conducting data analysis is a crucial thing to do. Outlier detection methods/techniques were first pioneered by researchers in statistics. However, due to rapid technological advances which have an impact on the ease of collecting extensive data, the development of outlier detection techniques is now handled mainly by researchers in the field of computer science (data mining) using computing facilities. This research aims to examine the results of simulation studies by comparing methods for identifying several outliers using statistical approaches and data mining algorithm approaches in various predetermined data scenarios. Based on the scenario carried out, the outlier detection method using a statistical approach is generally better than the outlier detection method using a data mining-based approach. Suggestions for further research are to improve the data mining method by focusing more on statistical analysis apart from focusing on data processing computing time so that the expected results of outlier detection are faster and more precise.
Co-Authors Alfian Eko Rochmawan Aritonang, Daniel Anugrah Aureli, Devanya Damanik, Rianita Delia, Rahma Fahrul, Asyraf Fitrianto, Anwar Hutabarat, Joplin Oliver Pandiangan, Kiki Arlina Pinem, Devi Kristiani Br Pujaningsih Pujaningsih Rehansyah , Muhamad Alfi