کہنے کو ایک پل بھی تُو مجھ سے جدا نہیں
پر یہ بھی سچ ہے مجھ پہ تُو پورا کھلا نہیں
Tujuan penelitian Perbaikan Pembelajaran ini untuk meningkatkan aktivitas dan hasil belajar Pembelajaran matematika dengan penerapan pendekatan keterampilan proses dasar berbasis lingkungan kelas VI SDN 156/III Tangil Kabupaten Kerinci. Subjek penelitian ini adalah siswa kelas VI SDN 156/III Tangil Kabupaten Kerinci berjumlah 16 orang Siswa. Prosedur penelitian tindakan kelas yang dilakukan oleh peneliti berdasarkan model PTK yaitu kemmis dan Mc Taggart yang terdiri dari kegiatan perencanaan, pelaksanaan, observasi dan evaluasi. Penelitian ini dilaksanakan sebanyak 2 siklus dengan masing-masing siklus sebanyak 2 pertemuan. Pada siklus I aktivitas siswa diperoleh dengan rata-rata secara klasikal 62, 93% yang termasuk dalam kualifikasi Baik. Pada siklus 2 aktivitas siswa mengalami peningkatan dengan rata-rata persentase aktivitas siswa 71, 16% dengan kualifikasi baik. Artinya terdapat peningkatan 6, 23%. Hasil belajar siswa pada siklus 1 dengan rata-rata yang diperoleh 60, 00 dengan kualifikasi cukup baik dan meningkat pada siklus 2 dengan rata-rata yang diperoleh 81, 94 dengan kualifikasi Baik. Artinya terdapat peningkatan sebanyak 21, 94. Berdasarkan hasil penelitian dapat disimpulkan bahwa penerapan pendekatan keterampilan proses dasar berbasis lingkungan dapat meningkatkan aktivitas dan hasil belajar pembelajaran matematika kelas VI SDN 156/III Tangil Kabupaten Kerinci.
Implementing fault tolerant scheduling in computational grid is a challenging task. Proactive and reactive fault tolerant scheduling techniques are commonly used in grids. Proactive approaches focus on the issues due to which faults are generated. Reactive approaches are activated after identification of failures. Different from exist ing fault tolerant techniques, we present a novel, hybrid, dynamic, and adaptive fault tolerant technique that effectively uses proactive and reactive approaches. Proactive fault tolerant orchestrator uses proactive approach, where resources are filtered on the basis of vicinity, availability and reliability. Existing fault tolerance techniques do not distinguish resources during selection, but the proposed algorithm prefers to employ local resources that results in low communication costs and less tendency towards failures. In order to find high availability of resources, a newly identified parameter that uses availability time is incorporated in the model for finding highly available resources using mean time between availability and mean time between unavailability. Reliability of nodes is an indispensable consideration and proposed system computes the reliability of nodes using factors like success or failure ratio of jobs and types of encountered failures. Proposed model also employs an optimal resource identification algorithm that helps in selection of optimal resources during execution of the jobs. List of reliable and optimal grid nodes identified using proactive fault tolerant orchestrator is passed to reactive fault tolerant orchestrator. Failure detector and predictor are the two components that work under reactive fault tolerant orchestrator and caters for network, prediction and temperature based hardware failures. For detection of errors in an efficient and timely manner push and pull models are also applied. Hardware failures are predicted on the basis of device temperature and are carefully used for con trolling the checkpoint intensity. Reduction in number of checkpoints based on device temperature provide several performance benefits in terms of communication cost and reduced execution times. Performance of proposed model is validated using GridSim toolkit. Compared to contemporary techniques, experimental results exhibit efficiency and effectiveness of the proposed model with respect to several performance metrics like execution time, throughput, waiting and turnaround time, number of checkpoints and energy consumption.