114 research outputs found
PENERAPAN PERMAINAN DALAM PEMBELAJARAN PADA MATAKULIAH FISIKA PERMAINAN UNTUK MENGHLANGKAN KESAN KAKU CALON GURU FISIKA
No full textMahasiswa FKIP sebagi calon guru memiliki peran penting dalam merubah pandangan peserta didik pada materi pelajaran. Untuk itu mahasiswa FKIP sebagai calon guru dipandang perlu mendapatkan bekal yang memadahi tentang pembelajaran yang menyenagkan. Sebagian besar peserta didik beranggapan bahwa fisika itu kaku dan membosankan. Kenyataan ini di pertajam dengan cara guru dalam melakukan kegiatan pembelajaran yang terkesan kaku. Pembelajaran fisika akan lebih terasa menyenangkan jika peserta didik kita arahkan dalalm proses pembelajaran dengan menggunakan permainan. Harapan dengan adanya permainan dalam pembelajaran adalah terciptanya susana yang menyenangkan sehingga menjadikan peserta didik menjadi bersemanagat dan suka terhadap mata pelajaran fisika. Dengan demikian diharapkan peserta didik akan mudah dalam memahami pelajaran fisika sehingga dapat menghasilkan luaran yang maksimal.</p
Implementasi Permainan Dalam Pembelajaran Oleh Calon Guru Guna Menghilangkan Kesan Kaku Dari Fisika
No full textMany theories of learning are appear from education experts. Not just environmental education in formal schools that make students understand the science. Instill a sense of love, happy, interested, and need to students is one of the effective tips for the success of learners. Teachers should be able to change the atmosphere of a stiff or lesson class becomes more enjoyable. By offering a lighter atmosphere and pleasant feel would give a positive effect on learners. The aim of this study is to change the view that physics was stiff and boring into physics fun through games in learning physics. The benefits of this research is to give response to prospective physics teachers to be able to give a pleasant impression on the subjects of physics. Result of this research is the implementation of the learning game physics can drop the impression of stiffness of physics teacher. It is shown by the percentage of students who apply games in physics have motivation 79.5% better than the control group that had motivated 68.375%. In addition, 76.5% of students responded positively to teach prospective physics teachers in implementing the learning game physics, while the group that did not apply in the learning game physics only 68.625%
Data-driven methodologies for decision making in engineering design
No full textIn the product development process, customer needs are essential to develop the product concepts. These concepts are crucial because the subsequent stages in the process are dependent on the selected concepts. Customer needs are conventionally gathered via survey-based methods, which may require extensive cost to conduct. Along with the massive growth of internet, an alternative to those survey-based methods emerges. Customer needs, as well as other insights about the customers, may be inferred from the opinions, feedbacks, or expectations that customers express in various online channels including online customer reviews. However, the volume and the generating velocity of the online customer review data surpass people's ability to analyze them in a reasonable time. Therefore, in order to utilize online reviews for supporting product designers in decision making, this work proposes methodologies that utilize Natural Language Processing tools, machine learning algorithms, and statistical models. In particular, the methodologies are proposed to support product designers in three specific aspects. First, a methodology is proposed to automatically identify product features that are discussed in the customer reviews as well as their corresponding sentiments. The particular product features that are significantly related to sales rank should become the focus of product designers when considering improvements of the existing product. Second, a novel approach to constructing the choice sets in the absence of both socio-demographic and the actual choice set data is proposed. The choice models that use the proposed choice sets are shown to have better predictive ability than the baseline, i.e., using random choice sets. The choice models with higher predictive ability are useful for product designers to perform demand estimation more accurately. Finally, a methodology is proposed to automatically identify product usage contexts from online customer reviews. Understanding the actual usage contexts is important because it may explain the differences in customer needs, the required design targets, and product preferences. In this work, the identified usage contexts are further complemented by their corresponding aspect sentiments. For product designers, the results enable them to understand customer experience regarding the usage contexts, including the contexts that may not be originally intended by the designers.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-08-01The student, Dedy Suryadi, accepted the attached license on 2019-07-10 at 17:52.The student, Dedy Suryadi, submitted this Dissertation for approval on 2019-07-10 at 18:12.This Dissertation was approved for publication on 2019-07-11 at 09:38.DSpace SAF Submission Ingestion Package generated from Vireo submission #14253 on 2019-11-26 at 14:03:45Made available in DSpace on 2019-11-26T20:59:45Z (GMT). No. of bitstreams: 3
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Previous issue date: 2019-07-11Embargo set by: Seth Robbins for item 113079
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Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 113079 on 2021-11-27T10:15:27Z
Sistem Informasi Geografis Pemetaan tempat wisata di Berastagi
No full textBerastagi city is one of the most famous tourist city in Karo District. Karo Regency Government has promoted tourism objects through mass media such as newspapers, brochures, pamphlets and posters. However, the method is not enough to inform widespread tourism to local tourists foreign tourists. Therefore the author tries to make a new innovation for geographic information system mapping of tourist attractions in Berastagi which is fixed to all local tourists and foreign tourists. This application aims to get the public can get complete information about tourist attractions in Berastagi. And some Lodging as well as transportation close to the sights follow in order for people who are walking the easy and quick to find out. Thus the authors hope this application is useful for the entire community.111 HalamanKertas Karya Diplom
Implementasi Metode PCA – K Nearest Neighbour untuk Deteksi Golongan Kendaraan Berdasarkan Jumlah Pasang Gandar
No full textDetection of vehicle type based axle allow to do classify vehicle based on the load that will carried by the vehicle. However at this time, classification of heavy vehicle types based on axles is still carried out by humans. In here research, author use image processing for classification of vehicles class with PCA-K Nearest Neighbour Method. The reason for choosing this algorithm is because previous research use K-Means Clustering have a same formula with K-Nearest Neighbour. The data used is the image captured from the video camera processed by background subtraction method to separate moving object namely vehicle with its background. PCA method is required to obtain eigen vektor from vehicle and reduce its dimensions. Meanwhile, for classification author tries to use classification algorithm of K-Nearest Neighbour. To detect vehicle axles author use Circular Hough Transform method. The Testing Result shows detect vehicle type use PCA-K Nearest Neighbour method with value of K=1 has an accuracy 90%.Deteksi golongan kendaraan berdasarkan gandar memungkinkan untuk melakukan klasifikasi kendaraan berdasarkan beban yang akan di bawa oleh kendaraan tersebut. Namun pada saat ini, klasifikasi jenis kendaraan berat berdasarkan gandar masih dilakukan oleh manusia. Dalam penelitian ini, penulis menggunakan pengolahan citra untuk klasifikasi golongan kendaraan dengan metode PCA-K Nearest Neighbour. Alasan pemilihan algoritma ini adalah karena penelitian sebelumnya menggunakan algoritma K-means Clustering memiliki rumus yang sama dengan K-Nearest Neighbour. Data yang digunakan adalah citra yang ditangkap dari kamera video diproses dengan metode background subtraction untuk memisahkan objek yang bergerak yaitu kendaraan dengan backgroundnya. Metode PCA diperlukan untuk mendapatkan vektor eigen dari kendaraan dan mereduksi dimensinya, sedangkan untuk klasifikasi penulis mencoba menggunakan algoritma klasifikasi K Nearest Neighbours. Untuk deteksi gandar kendaraan penulis menggunakan metode Circular Hough Transform. Hasil pengujian menunjukkan deteksi golongan kendaraan menggunakan metode PCA-K Nearest Neighbours dengan nilai K=1 mendapat akurasi 90%.84 HalamanSkripsi Sarjan
Kerangka Cita Hukum (Recht Idee) Bangsa sebagai Dasar Kewenangan Mahkamah Konstitusi Menguji Peraturan Pemerintah Pengganti Undang Undang (Perppu)
No full text: Future Legal Framework (recht idee) Nations as the Basis of the Constitutional Court's authority Examining Government Regulation in Lieu of Law (Perppu). As Guardians of the Constitution, the Constitutional Court (MK) has the authority to conduct testing legislation against the Constitution (UUD). In practice, not only the laws, the Court also perform testing of Government Regulation in Lieu of Law (Perppu) that is not explicitly provided for in the Constitution. Perppu are regulations made temporary president to address emergency issues. This paper aims to assess the competence of the Constitutional Court on Perppu test related to the state system according to the 1945 constitution as the basis of the Indonesian state, associated with the ideal framework law (recht idea) Indonesian that is rooted in Pancasila
PENERAPAN ICE BREAKING (PENYEGAR PEMBELAJARAN) UNTUK MENINGKATKAN HASIL BELAJAR IPA SISWA KELAS VIII A MTs AN-NUR PELOPOR BANDARJAYA TAHUN PELAJARAN 2013/2014
No full textThe purpose of this research is to know the result of learning in IPA by using ice breaking of the student of the eighth grade class of in MTs An-Nur Pelopor Bandarjaya TP. 2013/2014. The subjeck of this research is class MTs An-Nur Pelopor Bandarjaya the sums of the students are 31. This research is CAR (Classroom Action Research) that is consists of 2 cycles,one cycle consist of three meeting included of test. The test is conducted in every last meeting. The result of learning could see of the test that is given by the teacher, the implementation of learning process by using ice breaking by using observing that is written by observer. From the result of research got the result of student’s learning is 58,06% in the first cycle, and 77,42% in the second cycle. From the minimum requirement (KKM) namely . The average of the result of the student’s learning is 66,29 in the frist cycle and 72,09 in the second cycle. So, it can be inferred that by using ice breaking can increase the result of student’s learning.</p
Analysis of input-output characteristic and generation cost optimization using quadratic least square regression and dynamic genetic algorithm method: Case study PT.PLN PJB UP Gresik
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