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Pancaran Pendidikan
Published by Universitas Jember
ISSN : 0852601X     EISSN : 2549838X     DOI : https://doi.org/10.25037/pancaran.v7i3.197
Core Subject : Humanities, Science, Education,
Humanities Chemistry Education Languange, Linguistic, Communication & Media Physics
Pancaran Pendidikan is an online-International Journal dedicated to publishing the good quality research and non reserach in 1. Natural Science (Mathematics, Physics, Chemistry and Biology) education 2. Social Science (Economy, Geography, and History) education 3. Language and humanities education 4. Formal, informal and non formal educatioan study 5. Pre scholl and elementary school study issue 3. Other related educational issue
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 23 Documents
 1   2   3 
Search results for , issue "Vol 7, No 2 (2018)" : 23 Documents clear
Stem Based Learning Development Design in 2013 Curriculum Integrated by Quran Gun Gun Ginanjar; Maulana Suhadi
Pancaran Pendidikan Vol 7, No 2 (2018)
Publisher : The Faculty of Teacher Training and Education The University of Jember Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (378.306 KB) | DOI: 10.25037/pancaran.v7i2.166

Abstract

The development of 2013 curriculum which is implemented generally expected to be able to create the dimension of attitude, knowledge and skill in teaching and learning process. The dimensions are related to the achievement of educational goal either the activities in the classroom nor in a daily life to make more meaningful learning. The development of STEM (Science, Technology, Engineering and Math) is based on four components KSAV (Knowledge, Skills, Attitude and Value) in accordance with the purpose of 2013 curriculum. STEM curriculum develop the factual, conseptual, procedural and metacognition knowledge integrated in the form of attitude and islamic values by quran approach. The integration pattern is built by webbed based on project related to one concept to another, so it can create the more meaningful learning process and able to be aplied in a daily life.
Implementation of Eigenface Method in Improving Security in a Smart Home Systems Abdurrasyid Abdurrasyid; Riki Ruli Afandi Siregar; Indrianto Indrianto; Meilia Nur Indah Susanti
Pancaran Pendidikan Vol 7, No 2 (2018)
Publisher : The Faculty of Teacher Training and Education The University of Jember Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (671.647 KB) | DOI: 10.25037/pancaran.v7i2.182

Abstract

Based on data that was extracted from Indonesia Central Bureau of Statistics there were has been theft cases as much as 125.869 times during 2015, consists of Crime against Property / Goods with Violence 11.856 cases, and Crimes against Property / Goods Non-Violent 114.013 cases, theft often occurs in empty homes that no occupants, theft is also common in homes that have security cameras, cameras that were installed cannot provide prevention or warning to homeowners. It can be anticipated if the homeowner gets information about the condition of the house in real time wherever he is. This technology is designed to created smart home system that was integrated by the security method especially in face recognition, Eigenface method as the image processing method used to detect home occupants to avoid thieves, the core of this method is to compare the eigenface value of the captured image with the eigenface value present in the database, the smaller difference between the eigenface training image in the database with the eigenface test face it can be concluded that the image has a higher similarity, greater differences,  will make the system detect that an unknown person is entering the house, and will send a warning message to the homeowner via cell phone about danger that is occurs.
Hand Gesture Optimization Using Structure From Motion Muhammad Sonnie Bestian; Risanuri Hidayat; I Wayan Mustika
Pancaran Pendidikan Vol 7, No 2 (2018)
Publisher : The Faculty of Teacher Training and Education The University of Jember Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (666.775 KB) | DOI: 10.25037/pancaran.v7i2.172

Abstract

Utilization human body with unique way to distinguish between one person and another already widely used in research. Biometric is a method for recognizing humans based on one or more physical characteristics or unique behaviors. Many previous researches of hand gestures used to control devices and identification. In This paper, we discusses the use of structure from motion method for optimization hand gesture. Structure from Motion ( SFM ) is the process to estimating the structure of 3-D shape from the series of 2-D images. The goal is to estimate the pose of the camera calibration results bits of the image to be reconstructed into a 3-D structure, from the scene and the scale factor is not known, then recover the actual scale factor by displaying an object of known size. The results from the trial by reconstructing four (4) drawing hand pieces and matched by detecting a hand gesture (3-D), from the stage of the process generated frame 2 + 3: match rate slightly (0) => relax SIFT threshold to 0.7 to 0 matches => SIFT relax the threshold to 0.8 with 2 matches => SIFT relax the threshold to 0.9 with 18 matches => SIFT relax threshold to 0.95 with 42 matches. From the test results obtained by the degree of fit pieces of the picture (2-D) to the whole image (3-D) resulted in 53,85% accuracy value.

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