P-D controller computer vision and robotics integration based for student’s programming comprehension improvement

The 21st-century skills needed to face the speed of understanding technology. Such as critical thinking in computer vision and robotics literacy, any student is hampered by the programming that is considered complicated. This study aims at the improvement of student embedded system programming competency with computer vision and mobile robotics integration approach. This method is proposed to attract the students to learn about embedded system programming by delivering integration between computer vision and robotics using the P-D controller since both of the fields are closely related. In this paper, the researcher described computer vision programming to get the data of captured images through the camera stream and then delivered the data into an embedded system to make the decision of robot movement. The output of this study is the improvement of a student’s ability to make an application to integrate a sensor system using a camera and the mobile robot running follow the line. The result of the test shows that the integration method between computer vision and robotics can improve the student’s programming comprehension by 40%. Based on the Feasibility test survey, it can be interpreted that from the whole assessment after being converted to qualitative data, all aspects of the learning stages of programming application tested with the integration of computer vision and robotics fall into the very feasible category for used with a percentage of feasibility by 77.44%

Towards cognitive artificial intelligence device: an intelligent processor based on human thinking emulation

The intervention of computer technology began the era of a more intelligent and independent instrumentation system based on intelligent methods such as artificial neural networks, fuzzy logic, and genetic algorithm. On the other hand, processor with artificial cognitive ability has also been discovered in 2016. The architecture of the processor was designed based on knowledge growing system (KGS) algorithm, a new concept in artificial intelligence (AI) which is focused on the emulation of the process of the growing of knowledge in human brain after getting new information from human sensory organs. KGS is considered as the main method of a new perspective in AI called as cognitive artificial intelligence (CAI). The design is to obtain the architecture of the data path of the processor. We found that the complexity of the processor circuit is determined by the number of combinations of sensors and hypotheses as the main inputs to the processor. This paper addresses the development of an intelligence processor based on cognitive AI in order to realize an Intelligence Instrumentation System. The processor is implemented in field programmable gate array (FPGA) and able to perform human thinking emulation by using KGS algorithm

Architecture design for a multi-sensor information fusion processor

This paper discusses the design of the architecture of an information fusion processor. This processor emulates the way of human thinking, namely by drawing conclusions from the obtained collection of information. Architecture design for this processor is based on Knowledge Growing System (KGS) algorithm. KGS is a novelty in Artificial Intelligence field. Compared to other AI methods, KGS focuses on the observation of the process of the knowledge growth within human brain based on information received from the surrounding environment. By using KGS algorithm, this processor works by receiving inputs from a set of sensors and possible hypotheses obtained after the processing of the information. The processor generates a value which is called as Degree of Certainty (DoC), which show the most possible hypothesis among all alternative ones. The Processor Elements which are used to perform KGS algorithm is designed based on systolic array architecture. The design of this processor is realized with VHSIC Hardware Design Language (VHDL) and synthesized by using FPGA Quartus II.13.1. The results show that the data path which has been design is able to perform the mechanism of KGS computation

Sistem Smart Monitoring pada Budidaya Tomat Cherry di Media Tanah

Living a healthy lifestyle is one of the important aspects for human well-being. One way to start a healthy lifestyle is by consuming fruits and vegetables. Cherry tomatoes have become a popular alternative for a healthy snack. The quality of healthy fruits is, of course, supported by healthy plant growth. Therefore, a smart monitoring system for cherry tomato plant growth was developed to assist cherry tomato farmers in monitoring the quality of plant growth. This system is designed using two systems: image processing using the Orange application to assess the fertility quality of plants, with data captured through a camera. The second system is an environmental monitoring system for plant growth, obtained through LDR, thermistor, and soil moisture sensors. The sensor data is processed using a Multiplexer and WeMos as the controller, and the results are displayed on the Thingspeak website. The designed system indicates the health quality experienced by the test plants, and users can view the sensor readings on the web to observe various environmental factors influencing the plants. Based on the results of several experiments, it is known that the system can function according to the initial goals, and environmental factors affect the quality of plant growth, although they may not be the primary factors.Pola hidup sehat menjadi salah satu aspek yang penting bagi kelangsungan hidup manusia. Salah satu cara untuk memulai pola hidup sehat yaitu dengan mengkonsumsi buah dan sayur. Tomat Cherry merupakan salah satu jenis buah yang kini marak menjadi alternatif panganan sehat. Kualitas buah yang sehat tentunya perlu didukung dengan pertumbuhan tanaman yang sehat. Oleh karena itu, dibuatlah sistem smart monitoring untuk pertumbuhan tanaman tomat cherry untuk membantu para petani dalam memantau kualitas pertumbuhan tanaman. Sistem ini dirancang menggunakan dua sistem, yaitu image processing menggunakan aplikasi Orange untuk melihat kualitas kesuburan tanaman yang mana datanya diambil melalui kamera. Sistem kedua merupakan sistem pemantauan lingkungan tumbuh tanaman yang akan diperoleh melalui sensor LDR, thermistor, dan soil moisture sensor. Data tersebut akan diolah menggunakan bantuan Multiplexer dan WeMos sebagai kontrolernya, yang mana hasil baca data tersebut akan ditampilkan pada website thingspeak. Sistem yang dirancang akan menunjukkan kualitas Kesehatan yang dialami oleh tanaman uji, dan user dapat melihat data pembacaan sensor melalui web untuk melihat beberapa faktor lingkungan yang mempengaruhi tanaman. Berdasarkan hasil dari beberapa percobaan dapat diketahui bahwa sistem dapat berjalan sesuai dengan tujuan awal, dan faktor lingkungan mempengaruhi kualitas tumbuh tanaman, meskipun belum tentu menjadi faktor utamanya

PENGENALAN DASAR INTERNET DAN MEDIA SOSIAL UNTUK MENDUKUNG PROSES BISNIS BUDIDAYA LELE DI DESA SAMPORA, CISAUK

Penggunaan internet di Indonesia sudah berkembang pesat. Sayangnya, tidak semua penduduk di Indonesia dapat menggunakan internet secara efektif, khususnya untuk mendukung perekonomian di daerahnya. Desa Sampora, Cisauk, mempunyai potensi budidaya lele yang bila dikembangkan dengan baik dapat mendukung perekonomian daerahnya. Oleh karena itu, penggunaan internet untuk mengembangkan bisnis budidaya lele perlu diperkenalkan di daerah tersebut. Pengenalan internet dasar, penggunaan media sosial, dan pencarian informasi di internet yang efektif dapat mendukung proses pengembangan bisnis budidaya lele di desa Sampora. Dengan demikian, warga Desa Sampora dapat mengembangkan bisnis dan memasarkan hasil budidaya ikan lele dengan lebih luas

SURVEY METODE FUSI INFORMASI UNTUK PERANCANGAN COGNITIVE PROCESSOR

Cognitive  Processor  is  a  processor  which  have  ability  to emulate  how  human  brain  work  to  process  information  by gathering  information  from  the  environment  and  take  the inference from the information that have received. To design Cognitive  processor,  appropriate  methode  is  need  to  support the  performance  of  this  processor.  Knowledge  Growing System (KGS) is a new development of Artificial Intelligence that  have  ability  to  growing  knowledge  base  on  information which  have  been  gathered  as  time  passes.  KGS  concept emerge by observing mechanism of human brain when doing information fusion to gain new knowldege. This paper aimed to  discuss  several  fusion  information  method  as  a  basis  to design Cognitive Processor