1,893 research outputs found

    Primer on Disability Benefits: Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI)

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    [Excerpt] This report presents information on two components of federal disability benefits, those provided through the Social Security Disability Insurance (SSDI) and the Supplemental Security Income (SSI) programs. The SSDI program is an insured program that provides benefits to individuals who have paid into the system and meet certain minimum work requirements. The SSI program, in contrast, is a means-tested program that does not have work or contribution requirements, but individuals must meet the asset and resource limitations. To receive disability benefits under either program, individuals must meet strict medical requirements

    KINERJA DOSEN DALAM MELAKUKAN PENELITIAN UNTUK PENINGKATAN MUTU PENDIDIKAN TINGGI SWASTA PADA UNIVERSITAS SERAMBI MEKKAH BANDA ACEH

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    KINERJA DOSEN DALAM MELAKUKAN PENELITIAN UNTUK PENINGKATAN MUTU PENDIDIKAN TINGGI SWASTAPADA UNIVERSITAS SERAMBI MEKKAHBANDA ACEH Oleh : Ali Umar NPM : 1609200050043Komisi Pembimbing:1. Prof. Dr .Yusrizal, M. Pd.2. Dr. Niswanto, M. Pd.ABSTRAKRuang lingkup yang lebih besar akan mendorong dosen untuk lebih aktif dan terus menambah pengetahuan mereka terhadap ilmu yang akan mereka ajarkan dan didarma baktikan untuk peningkatan mutu pendidikan tinggi. Tujuan penelitian ini adalah: untuk mengetahui kinerja dosen dalam melakukan penelitian untuk peningkatan mutu pendidikan tinggi swasta pada Universitas Serambi Mekkah. Penelitian ini menggunakan pendekatan kualitatif dengan metode deskriptif. Teknik pengumpulan data yaitu: wawancara, observasi, studi dokumentasi. Teknik analisis data dengan reduksi data, display data, mengambil kesimpulan dan verifikasi. Subjek penelitian ini adalah Rektor, Dosen, dan Mahasiswa pada perguruan tinggi swasta pada universitas serambi mekkah. Berdasarkan hasil penelitian diperoleh bahwa: (1) Kualitas proposal dosen dalam melakukan penelitian untuk peningkatan mutu pendidikan tinggi swasta pada Universitas Serambi Mekkah harus meningkatkan kualitas diri dengan memahami dan meningkatkan kompetensi diri, memiliki keterampilan dalam menghasilkan proposal dosen dalam melakukan penelitian, yang lebih inovasi dan kreatifitas yang tinggi sehingga berjalan dengan baik, secara efektif dan efisien; (2) Kemampuan pelaksanaan penelitian dosen dalam melakukan penelitian untuk peningkatan mutu pendidikan tinggi swasta pada Universitas Serambi Mekkah sudah menunjukkan kenaikan dari tahun sebelumnya; (3) Strategi untuk mempublikasikan hasil penelitian dosen dalam melakukan penelitian untuk peningkatan mutu pendidikan tinggi swasta pada Universitas Serambi Mekkah adalah pelatihan metodologi dan etika penelitian ilmiah, penyediaan sarana dan fasilitas, pengaturan beban jam mengajar, dan mendukung dana atau membantu menghubungkan dengan lembaga yang dapat membiayai proyek penelitian mereka.Kata Kunci: Kinerja Dosen dan Peningkatan Mutu Pendidika

    DIETARY DIVERSITY AND RURAL LABOR PRODUCTIVITY: EVIDENCE FROM PAKISTAN

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    The relationship between rural labor productivity and food diversity was analyzed from the household consumption survey data of Pakistan. The elasticity of wage to diversity (0.77) was higher than to food expenditure (0.13). Lowering the prices of meats and fruits and vegetables will have the greatest impact on labor productivity.Food Consumption/Nutrition/Food Safety, Labor and Human Capital,

    Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems

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    The dynamic continues trend of adoption and improvement inventive automated technologies is one of the main competing strategies of many manufacturing industries. Effective integrated operations management of Automated Guided Vehicle (AGV) system in Flexible Manufacturing System (FMS) environment results in the overall system performance. Routing AGVs was proved to be NP-Complete and scheduling of jobs was also proved to be NP hard problems. The running time of any deterministic algorithms solving these types of problems increases very rapidly with the size of the problem, which can be many years with any computational resources available presently. Solving AGVs conflict free routing, dispatching and simultaneous scheduling of the jobs and AGVs in FMS in an integrated manner is identified as the only means of safeguarding the feasibility of the solution to each sub-problem. Genetic algorithm has recorded of huge success in solving NP-Complete optimization problems with similar nature to this problem. The objectives of this research are to develop an algorithm for integrated scheduling and conflict-free routing of jobs and AGVs in FMS environment using a hybrid genetic algorithm, ensure the algorithm validity and improvement on the performance of the developed algorithm. The algorithm generates an integrated scheduling and detail paths route while optimizing makespan, AGV travel time, mean flow time and penalty cost due to jobs tardiness and delay as a result of conflict avoidance. The integrated algorithms use two genetic representations for the individual solution entire sub-chromosomes. The first three sub-chromosomes use random keys to represent jobs sequencing, operations allocation on machines and AGV dispatching, while the remaining sub-chromosomes are representing particular routing paths to be used by each dispatched AGV. The multiobjective fitness function use adaptive weight approach to assign weights to each objective for every generation based on objective improvement performance. Fuzzy expert system is used to control genetic operators using the overall population performance history. The algorithm used weight mapping crossover (WMX) and Insertion Mutation (IM) as genetic operators for sub-chromosomes represented with priority-based representation. Parameterized uniform crossover (PUX) and migration are used as genetic operators for sub-chromosomes represented using random-key based encoding. Computational experiments were conducted on the developed algorithm coded in Matlab to test the effectiveness of the algorithm. First scenario uses static consideration, the second scenario uses dynamic consideration with machine failure recovery. Sensitivity analysis and convergence analysis was also conducted. The results show the effectiveness of the proposed algorithm in generating the integrated scheduling, AGVs dispatching and conflict-free routing. The comparison of the result of the developed integrated algorithm using two benchmark FMS scheduling algorithms datasets is conducted. The comparison shows the improvement of 1.1% and 16% in makespan of the first and the second benchmark production dataset respectively. The major novelty of the algorithm is an integrated approach to the individual sub-problems which ensures the legality, and feasibility of all solutions generated for various sub-problems which in the literature are considered separately

    Implementasi Pendekatan Pembelajaran Kontekstual dengan Hypnoteaching untuk Mereduksi Tingkat Kecemasan Matematika (Mathematics Anxiety) Siswa

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    Artikel ini merupakan hasil penelitian yang bertujuan untuk mengetahui penurunan tingkat kecemasan matematika siswa antara sebelum dan sesudah diajar dengan pendekatan kontekstual dengan hypnoteaching. Jenis penelitian ini adalah penelitian eksperimen semu dengan desain penelitian One Group Pretest – Postest Design. Sampel dalam penelitian ini adalah kelas VIIIA SMP Siti Chadijah. Instrumen penelitian berupa angket kecemasan matematika yang diberikan kepada kelas eksperimen sebelum dan sesudah diberikan perlakuan. berdasarkan hasil analisi angket dapat disimpulkan bahwa model pembelajaran kontekstual dengan hypnoteaching mampu mereduksi tingkat kecemasan matematis siswa
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