1,720,985 research outputs found
Mpu Tantular, Kakawin Sutasoma. Translated by Dwi Woro Retno Mastuti and Hastho Bramantyo. Depok: Komunitas Bambu, 2009, xxiv + 544 pp. ISBN 979-3731-55-9. Price: IDR 85,000 (soft cover). Cok Sawitri, Sutasoma. Jakarta: Kaki Langit Kencana, 2009, 469 pp.
Get PDFPENERAPAN METODE SMALL GROUP DISCUSSION DALAM PEMBELAJARAN PENDIDIKAN AGAMA ISLAM: DAMPAK TERHADAP PENINGKATAN PRESTASI BELAJAR PESERTA DIDIK KELAS X SMA
No full textThis study aims to determine how the improvement of learning achievement of students in class X.9 SMAN Negeri 10 Bandar Lampung city on learning Islamic Education (PAI) through the implementation of Small Group Discussion method. The type of research used in this research is Classroom Action Research (PTK). This research was done in three cycles. Each cycle consists of four stages, namely: planning, implementation, observation, and reflection. The results of the study showed an increase in learning achievement of learners. In the first cycle the average value obtained by learners of 62.65 with a percentage of mastery of 23.53%. On the second cycle there was an average increase of 72.94 with the percentage of mastery of 64.71%. Furthermore, in the third cycle the average value of student learning achievement again increased to 79.71 with a percentage of completeness of 91.18%. Based on this, it can be concluded that the implementation of Small Group Discussion method has an impact on the improvement of learning achievement of high school X students in Islamic Religious Education subjects.Kata kunci : Small Group Discussion, Achievemen
Design Of Knowledge Management System Of Website Based Cultural
Get PDFPreservation of national culture should be kept all the time. No maximum knowledge transfer process resulted in the lack of knowledge of the sources of public knowledge about culture. If this happens for a long time, the preservation of culture will be threatened, and extinct. Therefore required a knowledge sharing media as a source of knowledge between communities and indigenous cultures. Knowledge management system (KMS) can be used as a knowledge sharing media among the entire community and traditional leaders as well as experts in the field of culture and other related people. KMS developed web-based, and knowledge sharing process can be optimized, so that people can access knowledge without depending time and place. Traditional leaders are involved in the system so that the quality of existing knowledge on the website is getting better and optimal knowledge sharing process. Keywords: Culture, knowledge management system, knowledge sharing
The Design of the Information System of New Student Admission
Get PDFThis paper is about the design of information system for processing new student admission (SIPMB). Manual system, such as using new student admission book, has been implemented to process new student admission information. This method has generated various problems, such as data redundancy, inefficient data organization, and insufficient time in conducting sequence access the score. It makes the student report expressed by pass the selection. The information system is designed by using SDLC method. There are four stages of SDLC method: analyzing, designing, implementing and maintaining. In addition, admission test of SIPMB was conducted. Keywords: database, information system, SDLC
Hubungan Antara Kemampuan Komunikasi Efektif Kepala Ruangan Dengan Tingkat Motivasi Kerja Perawat Pelaksana Di RS JIWA PROF SA'ANIN Padang
No full textSalah satu fungsi manajemen yang penting dan mendasar adalah komunikasi. Fungsi komunikasi sangat penting bagi organisasi, tidak terkecuali Rumah Sakit Jiwa Prof. HB Sa'anin Padang.
Selain komunikasi, hubungan yang baik antara pimpinan dan bawahan sangatlah penting karena dapat membuat bawahan dihargai dan dihormati sebagai bawahan, sehingga dapat memotivasi
mereka untuk lebih bekerja lebih baik dan tekun. Beberapa variabel yang berhubungan dengan motivasi kerja adalah komunikasi efektif. Rumah saki Jiwa Prof. HB Sa'anin Padang merupakan rumah sakit rujukan Sumatera Barat, yang selalu meningkatkan mutu pelayanan keperawatan. Tujuan dari penelitian ini adalah mengidentifikasi hubungan antara komunikasi efektif kepala ruangan dengan tingkat motivasi kerja perawat pelaksana di Rumah Sakit Jiwa Prof. HB Sa'anin Padang. Penelitian kuantitatif dengan pendekatan teknik cross sectional. Sampel random sampling sebanyak 68 orang perawat. Analisis data menggunakan analisis univariat, bivariat, dan multivariat. Berdasarkan hasil temuan kemampuan komunikasi kepala ruangan lebih dari separoh kurang efektif dengan tingkat motivasi kerja perawat lebih dari separoh tinggi. Berdasarkan hasil analisis bivariat, ada hubungan yang bermakna antara komunikasi efektif
dengan motivasi kerja perawat pelaksana yaitu aspek pendengar aktif dan penerimaan, sedangkan hasil multivariat dengan uji regresi logistik ganda diketahui aspek penerimaan komunikasi kepala ruangan sangat berpengaruh terhadap tingkat motivasi kerja perawat pelaksana. Disarankan kepala bidang keperawatan dan kepala ruangan untuk meningkatkan motivasi kerja perawat pelaksana dalam pemberian asuhan keperawatan kepada klien dengan pendekatan komunikasi yang efektif kepala ruangan kepada perawat pelaksana dan memberi pelatihan tentang sikap kepemimpinan dalam berkomunikasi
THE EFFECTIVENESS OF BREATHING EXERCISES TO VALUE INCREASING CAPACITY ON CHRONIC OBSTRUCTIVE LUNG CLIENTS IN PULMONARY DISEASE TREATMENT CENTER (BP4) LUBUK ALUNG WEST SUMATERA
No full textABSTRACTChronic Obstructive Pulmonary Disease (COPD) is a chronic lung disease characterized by the air flow resistance in the airway that is not fully reversible, progressive and associated with an abnormal inflammatory response to noxious particles and gases. Pulmonary rehabilitation is a program of management of stable COPD clients, one of which is by six minutes-walk of breathing exercises aimed at training the respiratory muscles, controlling, reducing symptoms and improving functional capacity optimally. The purpose of this study was to assess the effectiveness of the influence of breathing exercises and the six minutes-walking to increase lung capacity in clients with respiratory problems in the Central Treatment for Lung Disease (BP4) Lubuk Alung West Sumatra. The research design was Quasi Experiment. The number of samples was 38 respondents divided into intervention group and control group. Breathing exercises is done three times a week for 12 weeks, research evaluation exercises valued before and 12 weeks after the six minutes-walking breathing exercise. The results of research showed the average of lung capacity value average increased with a difference before and after exercise about 133.33 ml / min, and there was a different breathing exercises p value (0.00) after being given six minutes of breathing exercises. It is expected that clients are able to implement the six minutes of breathing exercises independently at home.Keywords : COPD , breathing exercises , the six minutes-walking , lung capacit
Klasifikasi Penyakit Stroke Menggunakan Algoritma K-Nearest Neighbor (KNN)
Get PDFThe application of the classification algorithm is one solution that is able to classify the symptoms of stroke. This symptom classification in the form of a predictive model can be used as an effort to detect stroke early. The algorithm applied to build the prediction model is K-Nearest Neighbor (KNN). The KNN algorithm is proven to be able to predict the new test sample based on the Euclidean distance. The dataset consists of 5110 records, the attributes used are: gender, age, hypertension, heart_disease, ever_married, bmi, work_type, residence_type, Avg_glucosa_level, smoking_status, stroke group. The research stages are: Data Collection, Data Preprocessing, Data Split, Application of the KNN Algorithm and Evaluation of KNN performance with confusion matrix and calculation of accuracy. The best KNN algorithm performance is obtained with a value of k = 5 and an accuracy of 93.54%.Penerapan algoritma klasifikasi merupakan salah satu solusi yang mampu mengklasifikasikan gejala penyakit stroke. Pengklasifikasian gejala ini dalam bentuk model prediksi dapat digunakan sebagai upaya deteksi dini penyakit stroke. Algoritma yang diterapkan untuk membangun model prediksi adalah K-Nearest Neighbor (KNN). Algoritma KNN terbukti mampu memprediksi sampel uji yang baru berdasarkan jarak euclidean. Dataset terdiri dari 5110 record, attribut yang digunakan adalah: gender, age, hypertension, heart_disease, ever_married, bmi, work_type, residence_type, Avg_glucosa_level, smoking_status, kelompok stroke. Tahap penelitian adalah: Pengumpulan Data, Preprocessing Data, Split Data, Penerapan Algoritma KNN dan Evaluasi kinerja KNN dengan confusion matrix dan penghitungan akurasi. Performa algoritma KNN terbaik didapatkan dengan nilai k= 5 dan akurasi 93.54%
Perubahan Sosial Masyarakat Petani Rumput Laut Menjadi Petani Palawija Di Kelurahan Majapahit – Batauga, Kabupaten Buton Selatan
Get PDFABSTRAK
Artikel ini membahas tentang perubahan sosial masyarakat petani rumput laut Majapahit – Batauga (Buton Selatan). Pembangunan infrastruktur talud (pemecah ombak) menyebabkan hilangnya sarana produksi, area laut dangkal, sebagai lahan budidaya komoditinya, sehingga memaksa mereka untuk mengalihkan diri ke petani perkebunan Palawija. Penelitian ini menganalisis perubahan sosial para petani dalam dua konteks. Pertama, bentuk perubahan sosial pada proses alienasi ruang produksi rumput laut. Kedua, bentuk perubahan sosial paska tersingkirnya petani dari ruang produksinya dan beradaptasi dalam ruang produksi baru, perkebunan palawija. Kedua aspek tersebut dianalisis menggunakan teori fungsionalisme struktural, dengan konsep AGIL (Adaptation, Goal, Integration, Latency). Penelitian ini menggunakan metode narasi deskriptif dari jenis pendekatan kualitatif. Sumber data primer penelitian ini yaitu observasi dan wawancara langsung dengan kelompok masyarakat petani rumput laut Majapahit – Batauga dan instansi pemerintah daerah tingkat kelurahan
Identification of Rice Disease Types Based on Digital Images Leaves Using Algorithm Support Vector Machine (SVM)
Get PDFDiseases that commonly attack rice plant are: bacterial leaf blight, brown spot, and leaf smut. The disease can lead to a significant decrease in the quality and quantity of agricultural products so that it can cause economic loss. Farmers usually find out that the rice plant has been affected by the disease when it already shows severe symptoms and has spread to various parts of the plant so it is too late to control. Another thing that causes the failure of disease management in rice plant is the lack of knowledge of farmers about the symptoms of the disease which causes the provision of inappropriate treatment actions caused by errors in identifying the type of disease that appears with almost the same physical symptoms. Therefore, we need a solution in the form of a model that is able to identify the types of disease in rice plant so that farmers including the general public can detect disease that attack rice plant accurately and quickly. This study aims to develop a model for identification of rice plant disease based on plant leaf images. The research stages are: collecting rice leaf image data, sharing data for training and testing data using cross validation techniques, implementing the SVM algorithm and evaluating the model using a confusion matrix and calculating the accuracy, precision and recall of the SVM algorithm. The results of the evaluation of this identification model indicate that SVM can identify leaf disease of rice plant with an accuracy value of 0.90 or 90%, a precision of 0.902 or 90% and a recall of 0.900 or 90%
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