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Eksistensi Invers Moore Penrose Diperumum Elemen Normal Diperumum pada Ring dengan Involusi
Get PDFThe Moore Penrose inverse of normal element in ring with involution have been discussed by several researchers. By generalizing concept of Moore Penrose inverse to the generalized Moore Penrose inverse, the element properties of the generalized Moore Penrose inverse of normal elements have also been obtained. In addition to generalizing the concept of Moore Penrose inverse, the definition of the normal element has also been generalized by generalizing the power of 1 to n ∈ N. It is found that intersection between set of generalized normal element and set of generalized Moore Penrose inverse element is not empty. This indicates that both of them have common properties, so this paper aims is to build the necessary and sufficient conditions for a generalized normal element to have a generalized Moore Penrose inverse using these properties. The method used is to look for the similarity of properties possessed by a generalized normal element and element that has generalized Moore Penrose inverse. The next step is to use the involution properties to obtain the final result. The approach taken is not only through the generalized Moore Penrose inverse, but also group inverse
Pengaruh Tata Guna Lahan Terhadap Hidrograf Aliran Di Sub-Sub DAS Keyang-Slahung-Tempuran Menggunakan Model SWAT
Get PDFGenerally, area development leads land use changing that may cause surface runoff increases. These alterations are responsible for flood and inundation in certain areas. Soil and Water Assessment Tool (SWAT) can be used to perform rainfall-runoff model. Hence, the flow change can be estimated comprehensively. To ensure the reliability of the model, calibration and validation are required. The calibration and validation stages were conducted using SUFI-2 (Sequential Uncertainty Fitting Version 2) method to determine the most influential or sensitive parameter. Meanwhile, the reliability test was assessed using the , NSE, and PBIAS methods. The reliability test for the calibration and validation provides a good result. In advance, this research shows that the increase of forest area may decreases the peak flow during flood occurrence
WRF-ARW Numerical Model Sensitivity Test on Simulation of Loud Rain in The South Kalimantan Area
Get PDFOn January 13-14, 2021, there was heavy rain in the South Kalimantan region, causing more than 10,000 houses and the main provincial road to be flooded, and also 2 main bridges collapsed. Based on observations at the Syamsudin Noor Meteorological Station Banjarmasin, the rainfall values on January 13 and 14 2021 were 51 mm and 249 mm, respectively. Meanwhile, at the Banjarbaru Climatology Station, it was recorded on January 13-14, 2021, at 45.9 mm and 255.3 mm, respectively. The amount of rainfall recorded at the Banjarmasin Meteorological Station and Banjarbaru Climatology Station makes this condition interesting to study. This simulation uses FNL data with temporal and spatial resolution of 3 hours and 1°×1°, respectively. In this study, the downscaling stage was carried out 2 times with domain 1 of 16 km and domain 2 of 6 km. Furthermore, the input data is running by testing as many as 9 parameterization schemes. Based on the results of the WRF rainfall output with the microphysics scheme (Kessler), the PBL scheme (Yonsei University Scheme) and the cumulus scheme (Kain-Fritcsh) showed the best value and the smallest error value compared to the other 8 schemes. Based on the CAPE value and air humidity, it proves that the atmospheric conditions are unstable and there is significant growth of convective clouds in the South Kalimantan region. The results of the stremaline analysis also show the presence of strong wind bends that result in the accumulation of air masses and indications of orographic rain in the west of the Meratus Mountains
Analisis Kualitas Aset Fisik Pasar Tradisional di Kabupaten Garut (Studi Kasus Pada Pasar Cilimus, Pasar Cibodas dan Pasar Cisurupan)
Get PDFPasar tradisional menjadi salah satu sumber kekayaan daerah sehingga pengelolaan asetnya perlu diperhatikan. Pemerintah Kabupaten Garut memiliki lima belas pasar tradisional yang dikelola langsung, dimana fasilitas tiga pasar tradisionalnya yakni Pasar Cilimus, Pasar Cibodas, dan Pasar Cisurupan belum terjamah perbaikan serta pengembangan. Tujuan penelitian ini adalah untuk mengetahui kualitas aset fisik pasar berdasarkan teori kualitas pasar dari Suryani dkk (2019), Morenikeji dkk (2020), serta Siregar dkk (2021) yang dilengkapi oleh SNI Nomor 8152 Tahun 2021 Tentang Pasar Rakyat. Teori kualitas pasar ini meliputi dimensi Aksesibilitas, Zonasi, Sarana, dan Prasarana. Metode penelitian yang digunakan adalah metode deskriptif dengan pendekatan kuantitatif dan kualitatif. Teknik pengumpulan data yang dilakukan meliputi observasi, wawancara, dan kuesioner dengan teknis pengambilan sampel non-probability. Hasil dari penelitian diperoleh bahwa Pasar Cilimus, Pasar Cibodas, dan Pasar Cisurupan dalam dimensi aksesibilitas ada pada kategori cukup dengan kondisi jalan baik namun terbatas waktu transportasi serta akses masuk tidak ramah disabilitas, dimensi zonasi dalam kategori tidak baik karena tidak ada zonasi pedagang, dimensi sarana dalam kategori cukup dengan ketersediaan beberapa fasilitas namun kondisinya belum memadai, dan prasarana dalam kategori cukup dengan beberapa kondisi aset yang kurang layak dan fasilitas yang tidak tersedia lainnya
Ensemble Oversampling For Financial Fraud Classification Of Imbalanced Data
Get PDFFinancial fraud classification cases such as credit card fraud and bitcoin fraud have highly imbalanced data problems that the oversampling data of fraud class is necessary. Financial transactions could have different attributes. In a credit card transaction, the attributes could represent a nominal amount, transaction period information, the status of deposits or other types like withdrawals or refunds, and more detailed information. In the financial transaction of bitcoin, the attributes could represent the number of nodes, transaction fee, output volume, and aggregated figures. The various characteristics of attributes in financial fraud data require an adaptable oversampling method so that the classification model can perform well. An Ensemble Oversampling method is proposed as a general context approach to handling financial fraud classification in credit cards and bitcoin. The proposed method combines generative with traditional approaches such as GAN, SMOTE, and ADASYN. In the classification step, Deep Learning algorithms such as CNN and LSTM are applied to provide better performance. The genetic algorithm is used to optimize Deep Learning hyperparameters. The evaluation was carried out by comparing four scenarios, i.e., without oversampling, using oversampling with GAN, SMOTE, ADASYN, original data, and Ensemble Oversampling. The combined oversampling of GAN and SMOTE with the CNN classifier model produces the highest evaluation score of all scenarios with an average F1-Score value of 0.995 and Kappa Statistics of 0.990. It shows that augmented data quality does affect prediction performance, and Ensemble Oversampling technique could be considered to improve classifier performance in financial fraud data
Social Media Influencers on Facebook and Their Impact on Consumers
Get PDFThis study aims to pinpoint the elements contributing to social media influencers' (SMIs) popularity and effectiveness in Bangladesh. Additionally, the study aims to determine how these influencers impact consumers' purchasing decisions. The study employs a quantitative research approach, utilizing an online survey questionnaire. The survey involved 208 participants who follow at least one social media influencer on Facebook, selected through a random sampling technique. The study's results highlight that positive reviews and feedback from other followers/consumers are the most potent factors in creating trust towards SMIs. Additionally, the quality of content and SMI's expertise and knowledge in a specific field/topic matter most to create an audience base. Besides, most followers believe that expertise attracts them to SMIs; hence, SMIs should not promote anything they do not know much about, representing their trustworthiness and transparency to the followers. Also, the recommendation of SMIs and these consumer-trust-building characteristics are associated. Brands choose SMIs to convey their message to the targeted audience; the findings also reveal that influencers significantly influence consumers' purchasing decisions through their recommendations, and age is one of the independent variables that is associated with the recommendations of SMI
Risk Evaluation of Ship Repair Delays with The Failure Modes and Effects Analysis (FMEA) Method
Get PDFEvery ship, that is still actively operating in shipping must pay attention to repair or maintenance in accordance with classification standards. This was needed by management or ship owners to carry out maintenance planning. The shipyards as repair services, there are often obstacles during the repair process that cause the repair time to be longer. This is caused by limited work equipment, delivery of materials that are not in order, and lack of technical equipment. The purpose of research is to evaluate the risk of ship repair delays so there are no failures or delays in ship repair. The method used is the FMEA method (Failure Mode and Effect Analysis) to measure each failure in each activity that affects ship repair. The results showed an assessment score in the form of a Risk Priority Number (RPN) consisting of activities: amount of cutting machines is still limited with a score of 309.83, painting and welding failures at the same time with a score of 267.08, materials that come are remachined to fit the needs with a score of 335.06 and inadequate transportation equipment with a score of 294.16. Improvements made in the form of preparing amount of work tools before the work is carried out, conditioning the order of work according to the schedule and adding backup transportation
Assessment of Solar Panel Array Utilization Applied to a Fishing Vessel 20 GT
Get PDFFishermen heavily depend on fossil fuels, around 95.4%, with no apparent decrease. Rising fuel costs and declining fossil fuel supplies challenge the fishing industry. The International Maritime Organization notes that ships using fossil fuels consume 277 million tons of fuel, contributing 2.5% to global emissions (961 million tons of CO2). TReducing reliance on fossil fuels and adopting alternative sources such as solar energy is suggested to address energy issues in Indonesia; solar energy, with an intensity of 0.6 to 0.7 kW/m2, is considered promising. This study uses an experimental design methodology to evaluate the installation of solar panels on a 20 GT fishing vessel at Muara Angke Port, Jakarta. Primary data, including ship size, was collected from the field. The economic focus is on the payback period, calculated through interviews with the crew. Exhaust gas emissions were calculated using factors established by the Ministry of Transportation. The results indicate that replacing CFL lamps with LED can save energy, specifically around 5 kW on this vessel. The feasibility of installing 14 solar panels is shown, costing over 20 years of Rp. 65,100,000. The payback period is estimated at three years, and the long-term analysis of Photovoltaic Solar Panels (PLTS) over additional engine investment. Cumulative emissions from the engine in one year are 155,007 tons, making PLTS environmentally beneficial without emissions
Coffee Grounds and Coconut Husk in Layered Filter Treatment for Efficiency Removal and Degradation Capacity of Pollution Parameters in North Aceh Waters
Get PDFPolluted estuaries can result in oxygen depletion, accumulation of toxic substances and heavy metals, and become a source of pathogens that are threaten for cultivated aquatic biota and coastal tourists. This research aims to analyze 1) pollution index; 2) status of water pollution in Bangka Jaya and Tanoh Anoe Regencies; and 3) testing the level of effectiveness of Layered Filtered Treatment (LFT) using analysis of removal efficiency and degradation capacity on water quality. LTF is a filtration media that composed of coconut husk, membrane and coffee grounds made into briquettes, LFT used to filter polluted estuary waters. The pollution parameters analyzed at Bangka Jaya were nitrate, phosphate, Escherichia coli bacteria and ammonia, while the pollution parameters at Tanoh Anoe were heavy metals Pb and Cd. The research results showed that the pollution status of Bangka Jaya estuary (A1) and Bangka Jaya coastal waters (A2) are moderately polluted, with indices at stations A1, A2 and A3 respectively is 9.19; 8.42; and 8.42. Meanwhile, the water pollution status in Tanoh Anoe estuary are heavily polluted (station B1) and moderately polluted (station B2) with the pollution index at each station being 14.07 and 9.36. The conclusion of this research is that LFT has not been proven capable of removing and degrading the pollutant parameters nitrate, phosphate, E.coli bacteria and ammonia, however the LFT method has been proven capable of increasing dissolved oxygen, stabilizing sea acid, temperature and also water salinity. LFT has also been proven to be able to prevent ocean acidification with a degradation capacity percentage of 6.60%