71 research outputs found
PENGARUH QUIPPER SCHOOL TERHADAP HASIL BELAJAR METEMATIKA PADA SISWA KELAS X MIA SMAN 1 MAJENE
No full textDedy Aswan. 2016. Pengaruh Pemanfaatan Media E-learning Quipper School Terhadap Hasil Belajar Pada Mata Pelajaran Matematika Siswa Kelas X SMA Negeri 1 Majene . Dibimbing oleh Dr. Arnidah, S.Pd, M.Si dan Dr. Nurhikmah H, S.Pd, M.Si. Program Studi Teknologi Pendidikan Fakultas Ilmu Pendidikan Universitas Negeri Makassar, 2016.
Masalah dalam penelitian ini adalah Pembelajaran kurang interaktif dan kurang optimal dalam menggunakan media pembelajaran. Sehingga membuat siswa menjadi bosan dalam proses pembelajaran. Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan e-learning Quipper School terhadap hasil belajar siswa pada mata mata pelajaran Matematika. Jenis penelitian yang digunakan adalah penelitian eksperimen dengan desain Posttest Only Control Desing. Populasi dalam penelitian ini adalah kelas X SMA Negeri 1 Majene dan kemudian ditarik sampel penelitian kelas Kontrol dan Kelas Eksperiemen sebanyak 30 dan 29 siswa. Tehnik pengumpulan data dalam penelitian ini dilakukan dengan menggunakan dokumentasi dan tes. Data yang diperoleh kemudian diolah dan dianalisis dengan mengunakan Uji t. Hasil penelitian menunjukkan ada pengaruh yang signifikan pemanfaatan e-learning Quipper School terhadap hasil belajar siswa pada mata pelajaran matematika siswa kelas X SMA Negeri 1 Majene. Hasil Belajar kelas kontrol lebih tinggi dibandingkan dengan hasil kelas kontrol. Dengan demikian Media pembelajaran e-learning Quipper School sangat penting dalam pembelajaran, untuk itu dalam mengajar harus selalu menggunakan media pembelajaran yang tepat sesuai dengan materi pelajaran
PENGARUH QUIPPER SCHOOL TERHADAP HASIL BELAJAR MATEMATIKA PADA SISWA KELAS X MIA SMAN 1 MAJENE
No full textPENGEMBANGAN MEDIA VIDEO PEMBELAJARAN UNTUK MENINGKATKAN KEMAMPUAN NUMERASI SISWA DI SEKOLAH DASAR
No full textThis study was conducted by researchers referring to initial observations where researchers found the fact that the teaching module used was not in accordance with the guidelines for implementing the independent curriculum, where data that was designed visually still required data in the form of clear images or illustrations and materials that were not yet appropriate, especially in sociology subjects. This study aims to (1) determine the level of development needs, (2) design sociology subject teaching modules, (3) determine the level of validation of teaching modules, (4) determine the level of practicality of teaching modules. This study uses an R&D approach with the ADDIE development model (analysis, design, development, implementation, evaluation). Data collection techniques use questionnaires and documentation. This study was conducted at SMA Negeri 3 Luwu Timur with a total of 30 students and 1 sociology subject teacher as research subjects. The results of this study indicate that the needs analysis is at the level of need, needed because the previous teaching devices were not optimal, which were dominated by printed books, so that interactive teaching modules were needed and contained reading materials, videos and evaluation instruments. Then in the design of the teaching module developed using software such as Microsoft Word, Canva, Capcut and hardware using a printer. The level of product validity based on the alpha test of learning media experts is in a very valid qualification, then the material/content experts are in a very valid qualification so that it can be tested in the field. The level of product practicality is in a very practical qualification and the teacher's response results are in a very practical qualification. Based on the results of research and development, this teaching module is able to increase student involvement and understanding in accordance with the principles of the independent curriculum and can be an innovative alternative in supporting the learning process
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
Lift date: 2021-11-26T20:59:54Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 113079 on 2021-11-27T10:15:27Z
Pengembangan System E-Portofolio Berbasis Website Sebagai Alat Penilaian dan Pameran Online Mahasiswa Teknologi Pendidikan
No full textPenelitian ini bertujuan untuk mengembangkan sistem e-portofolio berbasis website yang terintegrasi dengan platform Behance sebagai alat penilaian dan pameran online mahasiswa di Program Studi Teknologi Pendidikan. Model yang diterapkan adalah Web Based Learning yang melewati empat langkah utama: 1) Gathering Information (Pengumpulan Informasi), di mana peneliti menyiapkan dokumen informasi dan menentukan metode pengiriman sistem untuk memastikan aksesibilitas yang mudah; 2) Developing Materials (Mengembangkan Bahan), yang melibatkan perancangan website dan fitur sistem e-portofolio dengan fokus pada pengalaman pengguna; 3) Producing Materials (Memproduksi Bahan), termasuk pembuatan alur kerja yang jelas untuk pengunggahan tugas; dan 4) Evaluating Materials (Mengevaluasi Bahan), di mana uji coba sistem dilakukan dalam situasi nyata untuk menilai fungsionalitas dan kemudahan penggunaan. Hasil penelitian menunjukkan bahwa e-portofolio dapat meningkatkan dokumentasi dan evaluasi karya mahasiswa, serta memfasilitasi aksesibilitas yang lebih baik bagi dosen dalam memberikan umpan balik. Validasi oleh ahli program menunjukkan desain yang sangat layak dan efektif, sementara uji coba pada kelompok kecil dan besar menunjukkan hasil yang positif. Penelitian ini menyimpulkan bahwa e-portofolio adalah alat yang efektif dalam mendukung proses penilaian dan pameran online mahasiswa, sekaligus meningkatkan keterlibatan mereka dalam aktivitas kreatif
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
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
No full textUlama Kekerasan sebagai Intelektual Kekerasan:Studi Kasus Bom Bunuh Diri Keluarga di Surabaya
No full textThis article aims to conceptualize the role of the violent ulama in the 2018 family suicide bombing terror incident in Surabaya which involved children, mothers, and fathers (nuclear family). The author uses a qualitative approach with direct data sources in the form of interviews with the Surabaya bombing terrorist network and library data. This article concludes that violent clerics are organic intellectuals who are the intellectual actors behind the family suicide bombing
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