Analisis Ekstraksi Ciri Sinyal EMG Menggunakan Wavelet Discrete Transform

Sinyal Electromyograph (EMG) adalah salah satu sinyal biomedis yang sangat penting untuk mengetahui aktivitas kontraksi otot, hal ini sangat penting dilakukan karena banyak kelainan aktivitas otot yang terjadi. Pada penelitian ini dilakukan analisis sinyal menggunakan Discrete Wavelet Transfoerm (DWT) jenis Symlet level 8 dengan filter-filter yang dapat menganalisa sinyal EMG sehingga komponen-komponen sinyalnya dapat diketahui sebagai sesuatu yang unik untuk setiap sinyal yang di analisis, dengan 3 sinyal yang berbeda yaitu sinyal EMG Normal, Myopathy dan Neuropathy, dapat ditemukan sesuatu yang unik untuk setiap sinyal tersebut dengan mengukur daya sinyal dan menormalisasinya, pada sinyal normal, daya sinyal maksimum adalah pada koefisien aproksimasinya, pada sinyal EMG Myopathi adala pada koefisien detail 3 dan pada sinyal EMG Neuropathy adalah pada keofisien detail 2

Proses Berpikir Siswa Tunanetra dalam Menyelesaikan Masalah Matematika Ditinjau dari Teori Pemrosesan Informasi

This study is a qualitative and placed in UPT SMPLBN Kota Pasuruan. Subjects in this study is a blind student of class IX of the school year 2015/2016. The results showed that the thinking of blind students starts from the stimulus, stimulus in the form of problem enter into the sensory registers of blind students through the sense of tactile and auditory, and into short-term memory after previously through a phase of selective attention and perception, in the short-term memory old information in the form of concepts that are needed in solving the problem called from long-term memory (retrieval), when information leaves short-term memory, there are two possibilities occur that information will lead to long-term memory (encoding) and or will be forwarded towards the environment in the form of responses/answers to students.Penelitian ini merupakan penelitian kualitatif dan bertempat di UPT SMPLBN Kota Pasuruan. Subjek dalam penelitian ini merupakan seorang siswa tunanetra dari kelas IX tahun ajaran 2015/2016. Hasil penelitian menunjukkan bahwa proses berpikir siswa tunanetra dimulai dari adanya stimulus, stimulus berupa soal masuk ke dalam sensory register siswa tunanetra melalui indra perabaan dan indra pendengaran, kemudian memasuki short-term memory setelah sebelumnya melalui tahap selective attention dan perception, dalam short-term memory informasi lama berupa konsep-konsep yang dibutuhkan dalam menyelesaikan masalah dipanggil dari long-term memory (retrieval), ketika informasi meninggalkan short-term memory, ada dua kemungkinan yang terjadi yaitu informasi akan menuju ke long-term memory (encoding) dan atau akan diteruskan menuju lingkungan berupa respon/jawaban siswa

Penggunaan Kartu Kata untuk Meningkatkan Kemampuan Membaca Lancar pada Pembelajaran Bahasa Indonesia Sekolah Dasar

This study was conducted as the second cycle and each cycle consisting of 2 meetings. The results obtained are the ability of teachers in designing learning in the first cycle of the 1st meeting of the total score is 20.13 and the average is 2.88. Meeting-2 total score increased to 23.08 and the average is 3.30. In the second cycle to the meeting-1 total score of 23.91 and the average is 3.41. Meeting-2 total score increased to 26.3 and the average is 3.76. The ability of teachers to implement learning by using the word cards in the first cycle to the meeting-1 by 75%, meeting-2 by 85%. In the second cycle meeting to-1 by 90%, 2nd meeting increased to 100%. The students' ability to read fluently in the first cycle meeting of 1 total score was 156 with an average of 6.5. At the meeting of 2 total score to 160 with the average of 6.66. In the second cycle to the 1st meeting of the total score was 167 with an average of 6.95 and at the 2nd meeting increased total score to 188 with an average of 7.83

Tindak Tutur Ilokusi Pada Caption Akun Islami Di Instagram

Tujuan dari penelitian ini adalah untuk mendeskripsikan mengidentifikasi realisasi tindak tutur ilokusi (asertif, direktif, ekspresif, komisif, dan deklarasi)  pada caption akun Islami di instagram. Data yang diambil dari akun Islami di instagram menggunakan dua akun Islami dan data diambil dari bulan Januari sampai bulan Juni 2018. Metode penelitian yang digunakan adalah metode deskriptif kualitatif. Langkah-langkah yang dilakukan dalam penelitian ini yaitu dengan mengambil data, kemudian memilah berdasarkan kategori tindak tutur ilokusi. Selanjutnya peneliti mengambil kesimpulan dari hasil analisis tersebut. Hasil analisis dari kategori tindak tutur ilokusi dan fungsi dari tindak tutur ilokusi yaitu terdapat 28 data: a) Bentuk tindak tutur asertif dengan fungsi menyatakan dan menyarankan, b) bentuk tindak tutur direktif dengan fungsi memerintah, memohon, menasehati, dan merekomendasi, c) bentuk tindak tutur ekspresif dengan fungsi berterima kasihm meminta maaf, dan menyalahkan, d) bentuk tindak tutur komisif tidak ditemukan pada caption akun Islami di instagram, e) bentuk tindak tutur deklarasi dengan fungsi berpasrah. Tindak tutur ilokusi yang paling sering didapatkan yaitu kategori asertif menyatakan sebanyak 11 data sedangkan tindak tutur ilokusi yang paling sedikit ditemui yaitu kategori asertif

Pembelajaran Kimia Analitik Berbasis Masalah Dengan Menggunakan Metode Inkuiri Terbimbing Dan Proyek Ditinjau Dari Kreativitas Dan Interaksi Sosial Mahasiswa

Method which was creativity, social interaction and it\u27s interaction toward students\u27cognitive, affective andpsychomotor learning achievement. The method used in the research was experimental method and wasconducted from September 2011 to February 2012. The population was the students of D-III Nasional Academyof Health Analyst Surakarta level I who had taken the analitycal chemistry I lecture. The sample was taken byusing cluster random sampling, consisted of two class regular 1B.1 and regular 1B.2. The learning methodapplied on regular 1B.1 was guided inquiry and on regular 1B.2 was project. The data was collected throughstudents\u27cognitive learning achievement test, and supported by questioner for measuring affective achievementsand observation sheet for assessing psychomotor. The hypothesis were tested using ANOVA three factorialdesigns with non-equal cell. From the data analysis, it could be concluded that: 1) there was no significantdifference from the results of Guided Inquiry and Project Method towards students\u27 learning achievement, 2)there was no significant difference from the results of high creativity and low creativity students\u27 learningachievement, 3) there was no significant difference from the results of high social interaction and low socialinteraction students\u27 learning achievement, 4) there was no interaction between learning method and creativitytoward students\u27 learning achievement, 5) there was no interaction between learning method and socialinteraction toward students\u27 learning achievement, 6) there was no interaction between creativity and socialinteraction toward students\u27 learning achievement, 7) there was no interaction among learning method,creativity, and social interaction toward students\u27 learning achievement

Particle Filter with Binary Gaussian Weighting and Support Vector Machine for Human Pose Interpretation

Human pose interpretation using Particle filter with Binary Gaussian Weighting and Support Vector Machine isproposed. In the proposed system, Particle filter is used to track human object, then this human object is skeletonizedusing thinning algorithm and classified using Support Vector Machine. The classification is to identify human pose,whether a normal or abnormal behavior. Here Particle filter is modified through weight calculation using Gaussiandistribution to reduce the computational time. The modified particle filter consists of four main phases. First, particlesare generated to predict target’s location. Second, weight of certain particles is calculated and these particles are used tobuild Gaussian distribution. Third, weight of all particles is calculated based on Gaussian distribution. Fourth, updateparticles based on each weight. The modified particle filter could reduce computational time of object tracking sincethis method does not have to calculate particle’s weight one by one. To calculate weight, the proposed method buildsGaussian distribution and calculates particle’s weight using this distribution. Through experiment using video datataken in front of cashier of convenient store, the proposed method reduced computational time in tracking process until68.34% in average compare to the conventional one, meanwhile the accuracy of tracking with this new method iscomparable with particle filter method i.e. 90.3%. Combination particle filter with binary Gaussian weighting andsupport vector machine is promising for advanced early crime scene investigation