Local Instructional Trajectory: Research-Based Hybrid Learning Assisted by Sevima Edlink in Improving Student Learning Independence. This study aims to design a local instructional trajectory of Research-Based Hybrid Learning (RBHL) assisted by Sevima Edlink to increase student learning independence. This research is design research consisting of three stages, namely: preliminary design, experimental design, and retrospective analysis. The subjects of this study were 27 students. Furthermore, questionnaires and observation guidelines became data collection instruments. After the data is collected, it is then analyzed. The findings of this study are the PHBP path assisted by Sevima Edlink through 5 stages, namely research focus, research planning, data searching, data processing, research results writing, and presentations carried out online and offline. The following finding is that local instructional trajectory of RBHL can increase student learning independence as seen from the increase in the average learning independence before and after treatment, from 2.40 to 4.28. The findings of this study can be an offer to solve the problem of learning independence of students in the midst of the limitations of offline learning.
Changing the old pattern to a new pattern is one form of position in optimizing learning activities. Changes in this pattern, namely from teacher-centered patterns to new student-centered patterns through the network era have a broad impact. The development of internet technology has a very big influence on learning. E-learning media makes it easier to complete activities or activities through accessing information and subject matter whenever and wherever. The method used in this study, namely using library searches and journal reviews. The use of E-learning is very important in providing students to compete in this globalization era. The role of E-learning media is very helpful for teachers in maximizing the seven main components of mathematical literacy, namely communication, mathematics, representation, thinking, designing strategies, using formal symbols and technical operations. and using mathematical tools.
Peningkatan pertumbuhan penduduk di Indonesia yang semakin pesat mengakibatkan jumlah komsumsi sampah juga semakin melonjak. Hal ini, jika dibiarkan dan tidak dikelola dengan baik maka akan menjadi ancaman bagi kehidupan makhluk hidup. Sehingga, untuk menanggulangi terjadinya penumpukan sampah khususnya pada aliran air sungai atau irigasi, maka pada penelitian ini dibuat suatu rangkaian alat pengambil sampah dengan dilengkapi sistem informasi yang dirancang untuk membantu menginformasikan keadaan volume sampah pada bak penampung sampah. Sampah yang terdeteksi akan diambil melalui putaran turbin pengangkut sampah dan ketika sampah pada bak telah melebihi batas volume yang sudah ditentukan serta terdeteksi oleh sensor proxymity selama ≥ 10detik, maka SIM GSM akan mengirim SMS ke petugas pengangkut sampah.
This research aimed to create an early warning system to anticipate crime with the patterns of hand motion. This system consisted of Webcamp, Personal Computer, GSM Modem, GSM shield, Arduino uno, and alarm speaker. The webcamp detected input of a hand gesture that had been determined, if the pattern was recognized then the modem will automatically sent a short message to Shield GSM installed in the nearest police station and Arduino Uno would turned on the speaker as an alarm. The algorithms used to identify finger and hand gesture were image segmentation, finger and hand pose determination, and translation of finger position. Based on the trial results, the distance from the camera had an effect on the level accuracy of object detection. The maximum distance from the camera to the object was 2 m (meters).
This article aims to analyze the achievements of each indicator that measures the mathematical comprehension skills of SMAN 10 Pinrang learners on Binomial Opportunity Distribution materials in online learning through the Ms Teams and WhatsApps applications. This research is a qualitative descriptive research that seeks to analyze the mathematical abilities of learners. Imi's research subjects were students of class XII IPA consisting of 29 students. Data collection methods include tests of the level of mathematical understanding of Binomial Peluan Distribution material. Based on the results of the study, it can be concluded that there are 11 people get a score of 80, 2 people get a score of 90, 9 people who get a score of 95 and 5 people get a score of 100. The overall average is 75.27. This indicates that the level of mathematical understanding of learners is able to choose, use precise formulas and calculations.
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