7 research outputs found
Pengaruh Iklim terhadap Pertumbuhan Komoditi Hortikultura di Kabupaten Enrekang, Sulawesi Selatan
No full textNur, R.D. (2023). The Influence of Climate on the Growth of Horticultural Commodities in Enrekang Regency, South Sulawesi. In: Herlinda S et al. (Eds.), Prosiding Seminar Nasional Lahan Suboptimal ke-11 Tahun 2023, Palembang 21 Oktober 2023. (pp. 482-489). Palembang: Penerbit & Percetakan Universitas Sriwijaya (UNSRI).Indonesia is a country with a variety of agricultural commodities. The agricultural sector, including horticultural commodities, plays an important role in contributing to Gross Regional Domestic Product in Indonesia. Enrekang Regency is one of the regencies in South Sulawesi which produces various kinds of horticulture, mainly onions, cabbage and tomatoes. The impact of climate change on the agricultural sector is multi-dimensional, both in terms of agricultural infrastructure, production systems and the welfare of farmers and society in general. One of the challenges faced in horticultural productivity is climate change which affects the amount of horticultural crop production. In this research, we will examine the percentage influence of climate on several types of horticultural plants such as tomatoes, petai, beans and chilies. This research uses horticultural production data obtained from the Enrekang and South Sulawesi District Agriculture Services using documentation methods for 11 years (2011-2021). Then, data on weather conditions was taken from the Meteorology, Climatology and Geophysics Agency for the last 11 years. These data are then processed with regression and correlation analysis using the SPSS application. The results of the regression analysis show that the overall influence of climate on 4 variables (Petai, Beans, Tomatoes, and Chilies) respectively is *R value =.492, R =.578, R =.465, and R =.514*. This shows that climate has a significant correlation and influence on the productivity of horticultural crops as much as 50% and then the remaining 50% is influenced by other variables outside the research. Therefore, it is necessary to carry out further studies regarding the factors that have an impact on the production of horticultural crops, such as land management and pest prevention
Application of six sigma and AHP in analysis of variable lead time calibration process instrumentation
No full textFrequency Invariant Beamformer Robust Against Array Element Mismatch
No full textThis paper extends the design of frequency invariant beamformer by incorporating robustness in the design formulation to cater for array element mismatches and other non-ideal characteristics. In this approach, a 2-norm constraint on the filter weight is imposed into the design optimization problem. The constraints limit the norm of the beamformer coefficients and thus reduce the sensitivity of the beamformer towards then on-ideal characteristics of the microphones. Design examples and comparisons are presented to illustrate the effectiveness of our approach
Design of Low Complexity Robust Broadband Beamformers with Least Squared Performance Criterion
No full textThis paper investigates the design of low complexity, non-robust and robust broadband beamformers with least squared criterion. An iterative algorithm is proposed to reduce the number of non-zero coefficients in both the non-robust and robust beamformers to reduce the computational complexity. Design examples show that the number of nonzero coefficients for the beamformers can be significantly reduced without a significant degradation in the integral squared error. In addition, the robust beamformer is less sensitive to non-zero coefficient reduction than the non-robust beamformer. In particular, the number of non-zero coefficients for the robust beamformer can be reduced by up to 74% with only a small reduction of 1.34dB in the integral squared error
Aplikasi Grey Level Coocurent Matrix(Glcm) Menggunakan Matlab Gui Dan Ann Dalam Identifikasi Penyakit Pada Tanaman Porang
No full textPorang is an Indonesian export product, its export potential still has enormous value opportunities. Diseases in porang are caused by several things, including pathogenic bacteria which damage the tubers. Caterpillars and grasshoppers also become diseases in people. The GLCM method provides speed of initial identification of diseases in porang. ANN (Artificial Neural Network) helps classify diseases in porang plants. The Matlab GUI is used as an graphical interface for the porang disease classification application
Prototype Integrasi Lengan Robot, Roda Tank, dan GPS Neo-6M untuk Optimasi Robot Pemindah Barang di Wilayah Bencana
No full textIndonesia merupakan negara dengan tingkat kerawanan bencana tinggi, sehingga distribusi logistik cepat dan tepat menjadi tantangan besar. Penelitian ini bertujuan merancang robot pemindah barang adaptif dengan roda tipe tank, GPS u-blox NEO-6M, dan lengan 4 DOF, sekaligus menguji akurasi navigasi serta kemampuan angkutnya. Hasil menunjukkan rata-rata penyimpangan GPS sebesar 5,3 meter di ruang terbuka dan 9,9 meter di ruang tertutup. Lengan robot mampu mengangkat benda hingga 115 gram dengan permukaan kasar, tetapi gagal pada objek licin. Temuan ini menegaskan bahwa robot dapat berfungsi sebagai prototipe awal pendukung distribusi logistik bencana, meskipun masih memerlukan penyempurnaan pada gripper dan sistem navigasi
