Mobile ad-hoc network (MANET) merupakan jaringan ad-hoc yang dibangun oleh perangkat-perangkat bergerak, salah satunya adalah laptop. Jaringan tersebut merupakan jaringan nirkabel yang bersifat infrastructureless. Jaringan ini mampu mengkomunikasikan node secara peer-to-peer tanpa basic service set (BSS). Ketidakberadaan BSS pada jaringan ini menyulitkan para pengguna dalam mengalokasikan uplink bandwidth bagi node/link kritikal dan mencegah terjadinya flooding pada jaringan. Penelitian ini bertujuan untuk merancang sebuah bandwidth management tool berupa program yang diimplementasikan untuk mengalokasikan uplink bandwidth pada jaringan ad-hoc. Program yang dirancang menggunakan metode CBQ untuk classifying dan scheduling paket. Dari hasil pengujian, sistem bandwidth WiFi jaringan ad-hoc menggunakan metode CBQ ini memiliki kinerja throughput 513,24 Kbps yang diperoleh melalui perhitungan average rounded trip time.
The increasing human population makes each year its production increase significantly. People's ignorance to separate the types of waste has triggered various disasters. Many studies have aimed at tackling this problem, such as smart trash bins that can sort various types of organic and inorganic materials and detect waste. However, it can products with many functions are not all integrated into one product. Purpose of this research is to provide a product that can integrate various smart trash bin functions with a volume monitoring system and sorting metal, non-metal, and organic waste types monitored via the web using the MQTT Protocol. This research prototype consists of several devices, namely smart trash bin equipped with proximity sensors, capacitive proximity sensors, and infrared sensors. In addition, this system is equipped with an ultrasonic sensor to detect the height of the trash. The Wi-Fi module integrated this system with web applications and the MQTT protocol. Based on the test, the system has been running well since the sensor data collection test is 70%, the delay test from the sensor input to the actuator is 3.48 s, the ultrasonic sensor reading accuracy is 97.16%, and the throughput on the monitoring website is 5084.75 bytes/sec.
formulate the learning plan, method comprehension and approach, curriculum, learning motivation as well as learning evaluation instrument. This research was aimed to discover the skill difference of pedagogical knowledge of biology teachers compared to different educational backgrounds. The method of this research was a quantitative-descriptive through proportional random sampling technique for sample collection. The population of this research was the entire biology teachers in State High School of Lebak Banten. The collected samples were 18 biology teachers with different educational backgrounds. This research was performed in State High Schools spread among the area of Lebak-Banten. The analysis results of the data of pedagogical knowledge question items have indicated that the average teachers with biology education background has higher score (73.33) and 0.033<0.05 value has acquired based on t-test result. It means that there is a significant difference between teachers who have biology education background compared to teachers with non-education backgrounds
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