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Menanamkan Nilai Disiplin Anak pada Lingkungan Keluarga di Desa Sungai Pinang Lama Kecamatan Sungai Tabuk Kabupaten Banjar Maryana, Maryana
Jurnal Pendidikan Kewarganegaraan Vol 5, No 10 (2015): Pendidikan Kewarganegaraan
Publisher : Lambung Mangkurat University Indonesia

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Abstract

Inculcate discipline for children is certainly not easy , requiring a habituation and perseverance , and certainly it needs the example of their parents . In other words , all of things must start from the parents . As caregivers and mentors in the family , the parents are the foundations for their children s behavior. Attitudes, behaviors and habits of the elderly has always been viewed, assessed and imitated by children that consciously or unconsciously become habits for them anyway. Whatever the reason why parent gives discipline for the child is for their future. Hopefully that one day in the future the child will have  good morals according to expectations of parents.Keywords : discipline , family environments.
PENERAPAN MODEL PEMBELAJARAN THINK PAIR SHARE (TPS) UNTUK MENINGKATKAN HASIL BELAJAR SISWA PADA MATERI PELAKU-PELAKU EKONOMI Zahara, Zahara; Maryana, Maryana
Jurnal Pendidikan Almuslim Vol 2, No 2 (2014): Jurnal Pendidikan Almuslim
Publisher : Jurnal Pendidikan Almuslim

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Abstract

DENGUE HEMORRHAGIC FEVER (DHF) EDUCATIVE GAME TO IMPROVE KNOWLEDGE AND SKILL OF ELEMENTARY SCHOOL CHILDREN IN DHF PREVENTION Susanto, Abiyyu Naufal; Maryana, Maryana; Khasanah, Titik Fajriyati Nur; Deastuti, Francilia; Chrisnajayantie, Raden Roro Brilianti; Nurlitasari, Anggita
Proceedings of the International Conference on Applied Science and Health No 4 (2019)
Publisher : Yayasan Aliansi Cendekiawan Indonesia Thailand (Indonesian Scholars' Alliance)

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Abstract

Background: The Ministry of Health of the Republic of Indonesia released data on the number of dengue fever sufferers in Indonesia on January 29, 2019 there are 13,683 cases and increased to 16,692 cases on February 3, 2019. The Director General of Disease Prevention and Control said that 90% of cases of dengue fever were children under age of 15 years.The Ministry of Health noted the number of cases of dengue hemorrhagic fever (DHF) in January 2019 increased to 121.8% compared to January last year. This study aims to examine the effect of educational games on increasing the knowledge and skills of elementary school age children about the prevention of dengue fever. Methods: To test the hypothesis, this study uses experimental research methodology to determine the results of treatment of a particular group to produce an innovation and recommendations for prevention of dengue fever in children. Results: This educational game can increase children's interest in learning to prevent dengue fever and improve their ability to prevent dengue fever. Educational games methods for elementary school age children can influence children's understanding and skills in preventing dengue fever at the age of elementary school children. This study was able to describe the effect of educational game with clean and healthy behaviour that more effective to prevent the incidence of dengue fever in elementary school- aged children. Conclusion: This educational game needs to be continuously applied and developed to reduce the incidence of dengue fever in children under 15 years of age. In the future, researchers should have to developed more modern design it can be like a virtual game that more atractive for the children. So, the goals of this research can be achieved.
Persepsi Klien BPJS Tentang Caring Perawat di Sebuah Rumah Sakit Maryana, Maryana
Jurnal Ilmu Kesehatan Bhakti Husada: Health Sciences Journal Vol 10 No 1 (2019): Jurnal Ilmu Kesehatan Bhakti Husada: Health Science Journal
Publisher : Lembaga Penelitian Sekolah Tinggi Ilmu Kesehatan Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (425.908 KB) | DOI: 10.34305/jikbh.v10i1.77

Abstract

Perilaku caring belum diaplikasikan dengan optimal dalam pelayanan keperawatan. Citra perawat di mata sebagian besar masyarakat Indonesia saat ini belum terbangun dengan baik. Masyarakat mempersepsikan perawat professional apabila perawat memiliki etik dan caring dalam pelayanan keperawatan. Penelitian ini bertujuan teridentifikasi berbagai perilaku caring perawat pelaksanana di ruang rawat inap. Metode penelitian yang digunakan adalah kualitatif dengan pendekatan studi kasus. Partisipan adalah pasien yang dirawat inap berjumlah 10 partisipan. Pengumpulan data dilakukan dengan wawancara mendalam, observasi, dan studi dokumentasi. Waktu penelitian dilakukan pada 11 Mei s.d 20 Juli 2017. Penelitian ini menemukan 5 lima tema proses caring perawat yaitu maintaining belief, knowing, being with, doing for, dan enabling. Perlunya upaya mempertahankan dan meningkatkan perilaku caring perawat melalui tiga pendekatan yang meliputi pendekatan individu dalam bentuk diskusi refleksi kasus, pendekatan organisasi melalui supervisi dan monitoring evaluasi serta pendekatan leadership dengan menciptakan iklim motivasi di lingkungan keperawatan.
PREDIKSI TINGKAT PENGGUNA NARKOBA DENGAN METODE REGRESI LINEAR BERGANDA BERBASIS WEB Dahlan Abdullah; Maryana Maryana; muli ani
TECHSI - Jurnal Teknik Informatika Vol 13, No 2 (2021)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v13i2.3738

Abstract

Drug cases, are not decreasing from day to day but are increasing, both as dealers, users, sellers, even as dealers. Drug users range from the elderly to the younger generation and children. Based on these problems, the researcher intends to help people related to law and ordinary people by creating an application to predict the level of drug users with multiple linear regression methods. Data on drug users used from 2015 to 2019 were taken at the Aceh Tamiang Police (Polres). To perform calculations using this multiple linear regression method using 619 user data. In its application, the multiple linear regression method results in an equation Y’ = -4,492312 + 1,018444 X1 + 1,181143 X2 where X1 is methamphetamine and X2 is marijuana. If the number of methamphetamine users is 108 and marijuana is 76, it can be predicted that the number of drug users is 195 cases and MAPE is 68.48%.Keyword: drugs, predictions, multiple linear regression.
SISTEM PENERJEMAHAN KITAB PELAJARAN AKHLAK KE DALAM BAHASA INDONESIA MENGGUNAKAN METODE EUCLIDIAN DISTANCE Wahyu Fuadi; Maryana Maryana; Ulfi Zahara
TECHSI - Jurnal Teknik Informatika Vol 11, No 1 (2019)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v11i1.1289

Abstract

 Kitab Pelajaran Akhlak  adalah  kitab yang  berisikan  tentang adab (etika) terhadap orang tua maupun seorang guru, adab dalam menuntut ilmu, dan penyakit hati yang ada pada diri manusia lainnya. Kitab Pelajaran Akhlak  ditulis menggunakan bahasa Arab Melayu (jawi). Dikarenakan tidak semua orang mampu membaca dan memhami isi dari kitab pelajaran Akhlak, maka dari itu penulis merancang suatu sistem penerjemahan kitab Pelajaran Akhlak. Sistem ini bisa membantu pengguna dalam menerjemahkan isi dari kitab Pelajaran Akhlak dengan mudah. Dalam  penelitian ini penulis menggunakan metode Euclidian Distance. Metode tersebut digunakan untuk menghitung jarak kemiripan pola kata dan terjemahan pada citra kitab Pelajaran Akhlak. Hasil pengujian menunjukkan bahwa keakuratan sistem ini sebesar86,72%. Persentase detection rate(akurasi) tersebut menunjukkan Metode Euclidian Distance dapat digunakan sebagai salah satu pendekatan untuk pengenalan pola kata dan terjemahan pada citra kitab ini. Selain itu, Sistem Penerjemah Kitab Pelajaran Akhlak juga memiliki false positive rate 13,28%, dikarenakan faktor kemiripan maupun perbedaan setiap citra pola kata uji dengan latih dari kitab pelajaran Akhlak.Namun, proses keakurasiannya dapat ditingkatkan dengan memberikan pelatihan lebih lanjut dengan tambahan data training yang lebih banyak dan lebih bervariasi.Kata kunci: Sistem Penerjemah, Kitab Pelajaran Akhlak,EuclidianDistance. 
Supervised models to predict the Stunting in East Aceh Eva Darnila; Maryana Maryana; Khalid Mawardi; Marzuki Sinambela; Iwan Pahendra
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (439.949 KB) | DOI: 10.52088/ijesty.v2i3.280

Abstract

Nowadays, Undernutrition is the main cause of child death in developing countries. There are many people and organizations try to mitigate or minimize case of child death. Thus, this paper aimed to has excellent method to handle undernutrition case by exploring the efficacy of machine learning (ML) approaches to predict Stunting in East Aceh administrative zones of Indonesia and to identify the most important predictors. The study employed ML techniques using retrospective cross-sectional survey data from East Aceh, a national-representative data is collected from government by using 2019 about stunting data. We explored Random forest commonly used ML algorithms. Random Forest (RF) as an extension of bagging that in addition for taking random sample of data and also uses random subset of features which mitigates over fitting. Our results showed that the considered machine learning classification algorithms by random forest can effectively predict the stunting status in East Aceh administrative zones. Persistent stunting status was found in the east part of Aceh. The identification of high-risk zones can provide more useful information and data to decision-makers for trying to reduce child undernutrition.
Pemanfaatan Media Power Point terhadap Tingkat Konsentrasi dan Motivasi Belajar Peserta Didik Budi Sulistiyo Nugroho; Zahraini Zahraini; Hidayatus Sholihah; Salfin Salfin; Maryana Maryana; Sufyan Hakim
Journal on Education Vol 5 No 4 (2023): Journal on Education: Volume 5 Nomor 4 Mei-Agustus 2023
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v5i4.2702

Abstract

This study aims to analyze the effect of using Power Point media on the level of concentration and motivation of students. The research method used in this study is a literature study by collecting data from various reliable sources. The analysis results show that the use of Power Point media can increase the concentration and motivation of students. This is because Power Point has an attractive and interactive appearance, which can attract the attention of students and make them more focused on learning. In addition, the use of Power Point can also facilitate students in understanding the material presented by teachers or lecturers. Therefore, the use of Power Point media is highly recommended in learning to improve the quality of student learning
CLASSIFICATION OF COLOR BLIND STUDENTS AT SMA NEGERI 1 LHOKSEUMAWE USING NAÏVE BAYES ALGORITHM Rozzi Kesuma Dinata; Maryana; Sujacka Retno; Gadis Ayu Sofiana
Multica Science and Technology Vol 3 No 1 (2023): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v3i1.425

Abstract

This research aims to classify students and determine eye conditions with normal and partial color blindness by using Naïve Bayes algorithm. The research dataset was obtained from students at SMA Negeri 1 Lhokseumawe. The variables used in this research were 24 Plate Ishihara Tests with data collection techniques by using interviews, literature studies and questionnaires. Total data in this research are 140 data and divided into 110 training data and 30 testing data. The results showed that from 110 data trained, there were 69 students included in the normal group and 41 students included in the partial group. Then, the 30 testing data were tested into the classification system for color blind students using Naïve Bayes Algorithm. The accuracy level of the test results was 86.67% and 13.33% error.