Penelitian ini bertujuan untuk mendeskripsikan proses memahami bahasa anak melalui aktivitas dan unsur non-linguistik. Unsur non-linguistik yang dimaksud seperti gerak isyarat, ekspresi, dan benda yang ditunjuk si anak. Ada dua penyebab yakni, Pertama, bahasa anak masih terbatas. Kedua, yang diucapkan  sang anak adalah sesuatu yang paling menarik perhatiannya. Subjek penelitian ini adalah seorang anak laki-laki bernama Riziq Alfath Aguero. Riziq berusia 14 bulan. Peneliti melakukan pengamatan terhadap  dua rekaman video yang telah dilakukan terhadap anak yang di amati. Dua video tersebut dilakukan pada waktu yang berbeda. Hasil penelitian menunjukkan bahwa dengan ekspresi muka dan gerak tubuh membantu orang sekitar untuk memahami yang dimaksud sang anak

<p><em>The problem of poverty is one of the fundamental issues that becomes the center of attention of the Government in any country. In an effort to realize the provisions as stipulated in Article 28A of the 1945 Constitution of the State of the Republic of Indonesia which affirms that every person has the right to live and has the right to maintain his life and life, the GOI has established a poverty reduction program as a priority program. The primary target of poverty is mostly in urban areas, because the large number of residents who do transmigration to improve the economy but failed to get results. This study contributes to the government to predict the per capita opinion of urban communities according to the poverty line based on the province in the future. The data used is data from the National Statistics Agency through the website www.bps.go.id. The data is data on per capita income of urban communities on poverty line by province in 2013 semester 2 until 2016 semester 2. Algorithm used in this research is Artificial Neural Network with Backpropogation method. The input variables are data of year 2014 semester (X1), data of 2014 semester 1 (X2), data of 2014 semester 2 (X3), data of 2015 semester 1 (X4), data of 2015 semester 2 ( X5) and data of 2016 semester 1 (X6) with architectural model of training and testing as much as 4 architecture that is 6-2-1, 6-6-1, 6-3-2-1 and 6-2-3-1. The output generated is the best pattern of the ANN architecture. The best architectural model is 6-3-2-1 with epoch 1190, MSE 0,0102524619 and 100% accuracy rate. From this model, the prediction of per capita income of urban community on the poverty line is based on the provinces of each province in Indonesia.</em></p><p><em><strong>Keywords</strong>: Income Per Capita, ANN, Backpropogation and Prediction</em></p><p><em>Masalah kemiskinan merupakan salah satu persoalan mendasar yang menjadi pusat perhatian Pemerintah di negara manapun. Dalam Upaya mewujudkan ketentuan sebagaimana ditetapkan Pasal 28A Undang-Undang Dasar Negara Republik Indonesia Tahun 1945 yang menegaskan bahwa setiap orang berhak untuk hidup serta berhak mempertahankan hidup dan kehidupannya, maka Pemerintah Indonesia telah menetapkan program penanggulangan kemiskinan sebagai program prioritas. Sasaran primer kemiskinan mayoritas lebih banyak terdapat di perkotaan, sebab banyaknya para penduduk yang melakukan transmigrasi guna memperbaiki perekonomian namun malah gagal mendapatkan hasil. Penelitian ini memberikan kontribusi bagi pemerintah untuk dapat memprediksi pendapat perkapita masyarakat perkotaan menurut garis kemiskinan berdasarkan propinsi ke depan. Data yang digunakan adalah data dari Badan Statistik Nasional melalui website www.bps.go.id. Data tersebut adalah data pendapatan perkapita masyarakat perkotaan pada garis kemiskinan berdasarkan propinsi tahun 2013 semster 2 sampai dengan tahun 2016 semester 2. Algoritma yang digunakan pada penelitian ini adalah Jaringan Saraf Tiruan dengan metode Backpropogation. Variabel masukan (input) yang digunakan adalah data tahun 2013 semester 2(X1), data tahun 2014 semester 1(X2), data tahun 2014 semester 2(X3), data tahun 2015 semester 1(X4), data tahun 2015 semester 2(X5) dan data tahun 2016 semester 1(X6) dengan model arsitektur pelatihan dan pengujian sebanyak 4 arsitektur yakni 6-2-1, 6-6-1, 6-3-2-1 dan 6-2-3-1. Data target diambil dari data tahun 2016 semster 2. Keluaran yang dihasilkan adalah pola terbaik dari arsitektur JST. Model arsitektur terbaik adalah 6-3-2-1 dengan epoch 1190, MSE 0,0102524619 dan tingkat akurasi 100%. Dari model ini maka dihasilkan prediksi pendapatan perkapita masyarakat perkotaan pada garis kemisikinan berdasarkan propinsi dari masing-masing propinsi di Indonesia.</em></p><p><em><strong>Kata Kunci</strong>: Pendapata Perkapita, JST, Backpropogation dan Prediksi</em></p>

This study aims to determine the effect of using mind-based quantum learning models and reading interest in argumentation writing skills of class X students of SMA 1 Linggo Sari Baganti. The theory used in this study is a quantum learning model based on mind maps, reading interest, and writing arguments. This type of research is quasi-experimental (quasi-experimental) and the design used in this study is factorial 2x2. The population of this study was class students of SMA 1 Linggo Sari Baganti. Sampling amounted to 62 uses a purposive sampling technique. The data collection was conducted through i test, consisting of tests initial ability in the form of reading and interest final ability to use performance tests for the ability to write arguments. Data analysis and discussion were carried out descriptively analysis in accordance with the concept of experimental research. First, rk verage Life Skills students taught writing argument with quantum learning model based mind map is 81.00, while students taught with the conventional model is 79.40. Second , the average argument writing skills of students with high reading interest taught with mind map-based quantum learning models is 86.25, while students with high reading interest taught with conventional models are 84.4. Thirdly, leverage writing skills argumentation low reading interest of students taught by quantum learning model based mind map is 75.75, while a low reading interest of students who are taught by the conventional model is 74.4. Fourth, there does not influence the interaction between the model of learning by reading interest towards learning outcomes k Life Skills write arguments in class X

Omni-directional mobile robot (OMR) is a robot that can move in all directions with an additional wheel around the core wheel. This research presents a PID controller method at the OMR plant with the specific purpose of getting to the specified point. OMR uses three wheels with an angle difference of 120 degrees. The application of this method using MATLAB assistance from knowing the kinematics to the performance results from the application of the control method. The stages of this research are robot design, component selection, electrical design of the robot, determination of forward kinematic and reverse kinematic and determination of PID controller for positioning. Testing is done by determining the position and determining the point to be determined. Simulation time testing is when the state is at 3,6,9,12 and 15 seconds. The results of the simulation robot can follow the specified coordinates.