Keberadaan limbah puntung rokok belum dimanfaatkan dengan baik dan hingga saat ini hanya dibuang sebagai sampah. Padahal tembakau dari limbah puntung rokok ini mempunyai potensi untuk dijadikan bio-pestisida untuk kegiatan pertaian yang ramah lingkungan. Tujuan dari penelitian ini adalah untuk menganalisis kualitas dan efisiensi tembakau dari puntung rokok sebagai bio-pestisida, mengetahui residu pada tomat diukur dengan instrumen Kromatografi Spektrometer-Massa (GC-MS) dan mengetahui intensitas serangan hama melalui metode ekstraksi maserasi. Senyawa kimia diperoleh dengan membandingkan daerah puncak kromatogram untuk setiap sampel. Hasil penelitian menunjukkan bahwa senyawa Alkaloid dan Terpenoid sebagai bentuk senyawa kimia yang terkandung pada bio-pestisida. Residu biopestisida yang terdeteksi adalah asam heksadekanoat dan asam dodecanoik, kedua senyawa ini termasuk dalam asam lemak jenuh. Intensitas serangan hama pada tanaman tomat dengan penggunaan biopestisida pada tanaman yang terserang ulat adalah sebesar 21% termasuk dalam kategori sedang. Sedangkan untuk intensitas serangan hama pada tanaman tanpa penggunaan biopestisida adalah sebesar 69% dan termasuk dalam kategori serangan hama puso (paling berat). Hasil ini menunjukkan bahwa limbah puntung rokok mempunyai potensi yang cukup baik untuk dijadikan bio-pestisida menggantikan petisida yang ada di pasaran.
In Internet of Things (IoT) era, The limitation storage on Wireless Sensor Network (WSN) can be solved by synchronized data sensors from the gateway node to the data center server. Data in the data center can be remotely accessed by the user at any time and anywhere from end user devices such as PCs, laptop PCs, and smart phones., and data should be accessed securely. The Only legitimated user can access the data sensor from an environmental health data center. CP-ABE (Ciphertext-Policy Attribute-Based Encryption) is becoming a robust cryptographic scheme solution to this issue. To enable a secure data sensor sharing and access on an environmental health data center, we propose a secure system model using CP-ABE which ensures confidentiality, integrity, and user privacy features. Experimental results prove that the implementation of CP-ABE does not overload the system.
In the recent years, Wireless Sensor Networks (WSNs) have become a very popular technology for research in various fields. One of the technologies which is developed using WSN is environmental health monitoring. However, there is a problem when we want to optimize the performance of the environmental health monitoring such as the limitation of the energy. In this paper, we proposed a method for the environmental health monitoring using the fuzzy logic approach according to the environmental health conditions. We use that condition to determine the sleep time in the system based on IEEE 802.15.4 standard protocol. The main purpose of this method is to extend the life and minimize the energy consumption of the battery. We implemented this system in the real hardware test-bed using temperature, humidity, CO and CO2 sensors. We compared the performance without sleep scheduling, with sleep scheduling and adaptive sleep scheduling. The power consumption spent during the process of testing without sleep scheduling is 52%, for the sleep scheduling is 13%, while using the adaptive sleep scheduling is around 7%. The users also can monitor the health condition via mobile phone or web-based application, in real-time anywhere and anytime.
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