Log Data Structure for Illegal Logging Tracking System

Abstract

Forest is a natural ecosystem that plays an important role in human life. Unfortunately, due to the exploitation of the forest wealth, the forest ecosystem becomes increasingly diminished. One of the most significant forest damages caused by illegal logging. In some cases, sometimes the information about log harvest that obtained from the logging area always has a discrepancy. To reduce the cunning which is done by the perpetrators, however, a system that can track and monitor the log position from a remote area is needed. This system using APC220 as a WSN using Star topology, embed with RFID reader and Arduino Uno. By designing a log data structure, the tracking and monitoring log is possible to build. This system was testing by three scenarios. The log data structure can be interpreted 100% by the system. According to the resulting test, it can be concluded that this system can track down the position of the log, and inform the forest patrol officer the predictable place where the log is missing.

WSN nodes power consumption using multihop routing protocol for illegal cutting forest

“…This scenario is intended to measure the usage of EEPROM on the application during the occurrence of sensing by iterating a program as an operating system where the data sensing is stored. Other parameters testing that involves in this research such as distance sensing, distance position between nodes, performance system is not discussed because they have been published in the previous studies which are focused on the performance system [31,32].…”

Pengenalan Pola Dan Tingkatan Motivasi Player Dalam Penggunaan Ghost Traditional Game Berdasarkan Analisis Log Data

“…Hasil dari pengenalan pola player ini secara otomatis akan direkam dengan log data. Log data [19][20] digunakan untuk merekam segala kejadian/interaksi yang ada dalam sebuah sistem atau perangkat lunak, hasil dari log data ini dimanfaatkan untuk mencocokkan antara prediksi pola pada game design dan game testing. Untuk metode Matching Player Pattern Detection (MP2D) dapat dilihat pada Gambar 1.…”