244 research outputs found

    EFEKTIVITAS MEDIA VIDEO DALAM PENINGKATAN PENGETAHUAN PETANI TERHADAP BUDIDAYA EDAMAME DI KELOMPOK TANI “SEDERHANA”, KELURAHAN BANDUNGAN, KABUPATEN SEMARANG

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    ABSTRAK Penelitian ini bertujuan untuk mengukur efektivitas media video sebagai media untuk meningkatkan pengetahuan mengenai budidaya edamame pada petani sayuran. Penelitian dilakukan pada tanggal 1 November - 20 Desember 2017 dengan responden penelitian adalah 20 petani anggota Kelompok Tani Sederhana. Penelitian ini merupakan penelitian eksperimental dengan model one group pretest-postest experimental research, yaitu dengan membandingkan tingkat mengetahuan petani tentang budidaya Edamame sebelum dan sesudah penayangan video dengan metode uji Paired Sample t-Test. Berdasarkan hasil penelitian didapat bahwa penggunaan media video efektif secara signifikan meningkatkan tingkat pengetahuan petani mengenai budidaya edamame dengan nilai signifikansi uji Paired Sample t-Test sebesar 0,000. Berdasarkan rata-rata hasil tes sebelum dan sesudah penayangan video didapat peningkatan nilai tes sebesar 54,95%. Kata kunci: edamame, efektivitas media, kelompok tani, vide

    Banks’ Profitability Under Democratic & Dictatorship Regime: Evidence from Pakistan

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    The aim of the study is to find out the determinants of profitability of Pakistan Banking System under democratic and dictatorship regime, i.e. 2006-2008 and 2009-2011 respectively. The authors were taken macroeconomic variables, i.e. GDP, Inflation and Interest Rate and bank-specific variables, i.e. Liquidity, size and capital adequacy as independent variables whereas Return on Asset as the dependent variable. By employing panel regression, the authors found that size has a significant negative relationship with profitability under both regimes. Interest and Liquidity had a positive significant relationship during democratic tenure. However, liquidity had significantly negative relationship between dictatorship duration. The findings will be helpful for the banking sector to make their policies accordingly

    Voting Behavior in Indonesia: Critical Democrats

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    A SILENCE REMOVAL AND ENDPOINT DETECTION APPROACH FOR SPEECH PROCESSING

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    In this paper a brief overview of silence removal and voice activity detection is discussed and a new method for silence removal is suggested. The objective of suggested method is to delete the silence and unvoiced segments from the speech signal which are very useful to increase the performance and accuracy of the system. Endpoint detection is used to remove the DC offset value from the signal after silence removal process. Silence removal and Endpoint detection are main part of many applications such as speaker and speech recognition. The proposed method uses Root Mean Square (RMS) to delete the unvoiced segments from the speech signal. This work showed better results for silence removal and endpoint detection than existing methods. The performance of this research work is evaluated using MATLAB tool and accuracy of 97.2% is achieved

    A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments

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    In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance. In the literature, various techniques have been proposed addressing the energy optimization problem. The goal of each technique was to maintain a balance between user comfort and energy requirements such that the user can achieve the desired comfort level with the minimum amount of energy consumption. Researchers have addressed the issue with the help of different optimization algorithms and variations in the parameters to reduce energy consumption. To the best of our knowledge, this problem is not solved yet due to its challenging nature. The gap in the literature is due to the advancements in the technology and drawbacks of the optimization algorithms and the introduction of different new optimization algorithms. Further, many newly proposed optimization algorithms which have produced better accuracy on the benchmark instances but have not been applied yet for the optimization of energy consumption in smart homes. In this paper, we have carried out a detailed literature review of the techniques used for the optimization of energy consumption and scheduling in smart homes. The detailed discussion has been carried out on different factors contributing towards thermal comfort, visual comfort, and air quality comfort. We have also reviewed the fog and edge computing techniques used in smart homes

    The Impact of Seasonal Anomalies on MSCI’s Selected Economies’ Stock Index Returns

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    Purpose: This article explores the effect on four developing Asian financial markets on the day of this week (volatility). Methodology: Regular market return data are gathered in their specific index from MSCI's selected economies, such as China, India, Malaysia and Pakistan. Yahoo's financial platform gathered index info. The selected sampling duration is between 2 May 2013 and 29 November 2017. The observational study was undertaken and the findings were concluded by the usage of a regression model to analyze day of consequence and the GARCH model to monitor conditional variance. Findings: These findings suggest that all stock returns and volatility are substantially impacted by the day of the week in three nations, but both the return and the volatility result in each of the four cases are not similar. An investor may make abnormal gains by betting on a previously accessible information-based approach and investors may obtain invaluable insights into investment decisions. Conclusion: If investors are conscious of this, they will adjust their investments in view of these shifts in stock returns.     &nbsp

    GEOLOGI DAN INVENTARISASI BATUPASIR DAERAH SUNGAI SIRING KECAMATAN SAMARINDA UTARA KOTA SAMARINDA PROVINSI KALIMANTAN TIMUR

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    Daerah Sungai Siring merupakan daerah yang memiliki banyak tambang batubara, namun daerah ini juga memiliki potensi batupasir yang besar. Akan tetapi, potensi batupasir yang dimiliki di daerah ini tidak dieksplorasi dan dieksploitasi. Oleh karena itu, penelitian pada daerah Sungai Siring dilakukan untuk mengetahui potensi batupasir yang dimiliki. Tujuan penelitian ini untuk mengetahui volume, tonase, dan nilai batupasir yang dimiliki pada daerah teliti. Data yang digunakan dalam penelitian ini meliputi data topografi, data lokasi pengamatan termasuk kedudukan batuan, ketebalan, dan struktur. Data yang digunakan merupakan estimasi ketebalan batuan,estimasi kedalaman,dan estimasi sebaran berdasarkan data singkapan. Penentuan perhitungan sumberdaya menggunakan metode cross section. Hasil penelitian menunjukan bahwa volume pada daerah teliti dengan batas sumberdaya 1 Km2 adalah ± 4.957.355,71 M3 dengan nilai sumberdaya sebesar Rp 743.603.250.000. Dengan potensi yang besar, daerah teliti mempunyai nilai ekonomi yang cukup tinggi untuk dieksplorasi dan dieksploitasi. Diharapkan penelitian selanjutnya melakukan penelitian dan pengambilan titik sampel yang lebih detail serta menyebar titik bor untuk meningkatkan keyakinan geologi pada sebaran batupasir yang dimiliki
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