bluuebunny/crossref_metadata_2025_split huggingface dataset:
KLASIFIKASI CITRA DIGITAL BUMBU DAN REMPAH DENGAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK (CNN)
Authors: Wulandari Isna , Yasin Hasbi , Widiharih Tatik 
Published: September 2020

The recognition of herbs and spices among young generation is still low. Based on research in SMK 9 Bandung, showed that there are 47% of students that did not recognize herbs and spices. The method that can be used to overcome this problem is automatic digital sorting of herbs and spices using Convolutional Neural Network (CNN) algorithm. In this study, there are 300 images of herbs and spices that will be classified into 3 categories. It’s ginseng, ginger and galangal. Data in each category is divided into two, training data and testing data with a ratio of 80%: 20%. CNN model used in classification of digital images of herbs and spices is a model with 2 convolutional layers, where the first convolutional layer has 10 filters and the second convolutional layer has 20 filters. Each filter has a kernel matrix with a size of 3x3. The filter size at the pooling layer is 3x3 and the number of neurons in the hidden layer is 10. The activation function at the convolutional layer and hidden layer is tanh, and the activation function at the output layer is softmax. In this model, the accuracy of training data is 0.9875 and the loss value is 0.0769. The accuracy of testing data is 0.85 and the loss value is 0.4773. Meanwhile, testing new data with 3 images for each category produces an accuracy of 88.89%. Keywords: image classification, herbs and spices, CNN.
PEMODELAN METODE BROWN’S DOUBLE EXPONENTIAL SMOOTHING (B-DES) DAN BROWN’S WEIGHTED EXPONENTIAL MOVING AVERAGE (B-WEMA) MENGGUNAKAN OPTIMASI LEVENBERG-MARQUARDT PADA JUMLAH WISATAWAN DI JAWA TENGAH
Authors: Deswita Dilla Retno , Hoyyi Abdul , Widiharih Tatik 
Published: September 2020

The tourism sector is one of the national development priority sectors because it contributes to foreign exchange earnings, the development of business areas, and the absorption of investment and labor. In 2018 the tourism sector will become the second largest foreign exchange earner after oil palm. Foreign exchange contributed by the tourism sector in 2018 was US $ 19.29 billion, an increase of 15.4%. The increase in contributions was driven by an increase in the number of foreign tourist arrivals by 12.58%, domestic tourists by 12.37%, and from investment. Therefore it is necessary to study the forecasting of the number of tourists after seeing the great potential generated from the tourism sector. The data forecast is data on the number of tourists in Central Java, both foreign and domestic data. Both data shows the tendency of an upward trend pattern. So that both data can be analyzed using B-DESmethods (Brown's Double Exponential Smoothing) and B-WEMA (Brown's Weighted Exponential Moving Average)that are optimized with LM (Levenberg-Marquardt). Both methods are able to analyze trend patterned data without assumptions making it easier in the analysis process. In addition, the two methods in previous studies were able to produce a small forecasting accuracy. The MAPE (Mean Absolute Percentage Error) value out sample is used to compare the forecasting results of the two methods. The results of the implementation of LM optimization on the data of the number of domestic tourists obtained the optimal parameter value of the B-DES method is 0.21944386 with MAPE out sample 16.26516% and B-WEMA method is 0.219441 with MAPE out sample 16.26515%. While the data on the number of foreign tourists obtained the optimal parameter value of the B-DES method was 0.26213368 with the MAPE out of the sample 23.61278% and the B-WEMA method was 0.26213367 with the MAPE out the sample 23.61278%. This means that both methods have a good level of forecasting accuracy in the data on the number of domestic tourists and an adequate level of accuracy in the data on the number of foreign tourists. Keywords : B-DES, B-WEMA, Levenberg-Marquardt, Tourists in Central Java
ANALISIS SENTIMEN PEMINDAHAN IBU KOTA NEGARA DENGAN KLASIFIKASI NAÏVE BAYES UNTUK MODEL BERNOULLI DAN MULTINOMIAL
Authors: Wardani Nabila Surya , Prahutama Alan , Kartikasari Puspita 
Published: September 2020

Text mining is a variation on a field called data mining that tries to find interesting patterns from large databases. Indonesian President affirmed that the capital would be moved to East Kalimantan on August 26, 2019. That planning would receive pros and cons from public. Sentiment analysis is part of text mining that typically involves taking data from opinion, comment, or response. Sentiment analysis is the choice to do on this topic to get results about the public’s opinion. As the most used social media in Indonesia, Youtube is able to be data source by crawling the comments on a video uploaded by Kompas TV channel. Those comments were crawled on October 15, 2019, and selected 1500 latest comments (August 26 – October 12, 2019). The selected comments get transformed by using data pre-processing technique that involves case folding, removing mention, unescaping HTML, removing numbers, removing punctuation, text normalization, stripping whitespace, stopwords removal, tokenizing, and stemming. Labeling of sentiment class uses the sentiment scoring technique. The number of negative comments is 849, while the number of positive comments is 651. The ratio between training data and testing data is 80%: 20%. The classification method used to do sentiment analysis is the Naive Bayes Classifier for Bernoulli and Multinomial model. Bernoulli model only uses occurrence information, whereas the multinomial model keeps track of multiple occurrences. The results show that Bernoulli Naïve Bayes has a 93,45% level of sensitivity (recall) and Multinomial Naïve Bayes has a 90,19% level of sensitivity (recall). It means that both Bernoulli and Multinomial have a good result for this research. Keywords: Text Mining, Relocation of Indonesia’s Capital, Youtube, Bernoulli Naïve Bayes, Multinomial Naïve Bayes, Sensitivity (Recall).
ANALISIS ARIMA DAN WAVELET UNTUK PERAMALAN HARGA CABAI MERAH BESAR DI JAWA TENGAH
Authors: Ardianti Chrisentia Widya , Santoso Rukun , Sudarno Sudarno 
Published: September 2020

Time series is a type of data collected according to the sequence of times in a certain time span. Time series data can be used as a predictor of future conditions. Analysis of time series data, one of the ARIMA units, is a parametric method that requires an assumption to get valid results. Data stationarity is one of the factors that must be fulfilled. Wavelet is a non-parametric method that is able to represent time and frequency information simultaneously, so that it can analyze non-stationary data. This research presents forecasting the price of red chili in Central Java using ARIMA and wavelet with the approach of the Multiscale Autoregressive (MAR) model. The best model is the one with the smallest MSE value. The results showed that the ARIMA(0,1,1) model was said to be the best model with MSE = 2252142. However, because the assumption of normality is not fulfilled, an alternative process is done with wavelet. Wavelet approach results show that the MAR model Haar filter level (j) = 4 with MSE = 2175906 is better than Daubechies 4 filter 4 level (j) = 1 with MSE = 3999669. Therefore, the Haar wavelet is considered better in the time series analysis. Keyword : ARIMA, wavelet, MAR, forecasting, MSE
KOMPUTASI METODE MULTIVARIATE EXPONENTIALLY WEIGHTED MOVING AVERAGE (MEWMA) UNTUK PENGENDALIAN KUALITAS PROSES PRODUKSI MENGGUNAKAN GUI MATLAB (STUDI KASUS: PT. Pismatex Textile Industry Pekalongan)
Authors: Fahlevi Riza , Yasin Hasbi , Ispriyanti Dwi 
Published: September 2020

Control chart is one of the effective statistical tools to overcome the problem of process quality in a production. Multivariate Exponentially Weighted Moving Average (MEWMA) control chart is an effective quality control tool in processes with more than one variable and correlated (multivariate). The MEWMA control chart has a weight value (λ) which makes this chart more sensitive in detecting small shifts process mean. The weight (λ) has values ranging from 0 to 1 ( ), where this weight will be given to each data. The MEWMA control chart in this study was used to form a control chart by the product defects percentage of grade B and grade B at PT. Pismatex Textile Industry Pekalongan. In this study, GUI Matlab was formed to assist the computational process in forming MEWMA control charts to control the quality of production at PT. Pismatex Textile Industry Pekalongan. Based on the result, the optimal weight is obtained at the weight value λ = 0.9. Keywords: Multivariate Exponentially Weighted Moving Average (MEWMA), Weight (λ), GUI Matlab, Percentage of product defects.
PERBANDINGAN FUZZY TIME SERIES DENGAN METODE CHEN DAN METODE S. R. SINGH (Studi Kasus : Nilai Impor di Jawa Tengah Periode Januari 2014 – Desember 2019)
Authors: Rachim Febyani , Tarno Tarno , Sugito Sugito 
Published: September 2020

Import is one of the efforts of an area to meet the needs of its population in order to stabilize prices and maintain stock availability. The value of imports in Central Java throughout 2016 amounted to 8811.05 Million US Dollars. The value of imports in Central Java is the top 10 in all provinces in Indonesia with a percentage of 6.50%. Import data in Central Java is included in the time series data category. To maintain the stability of imports in Central Java, it is deemed necessary to make a plan based on a statistical model. One of the time series models that can be applied is the fuzzy time series model with the Chen method approach and the S. R. Singh method because the method is suitable for cyclical patterned data with monthly time periods such as Import data in Central Java. Important concepts in the preparation of the model are fuzzy sets, membership functions, set basic operators, fuzzy variables, universe sets and domains. The fuzzy time series modeling procedure is carried out through several stages, namely the determination of universe discourse which is divided into several intervals, then defines the fuzzy set so that it can be performed fuzzification. After that the fuzzy logical relations and fuzzy logical group relations are determined. The accuracy calculation in both methods uses symmetric Mean Absolute Percentage Error (sMAPE). In this study the sMAPE value obtained in the Fuzzy Time Series Chen method of 10.95% means that it shows good forecasting ability. While the sMAPE value on the Fuzzy Time Series method of S. R. Singh method by 5.50% shows very good forecasting ability. It can be concluded that the sMAPE value in the S. R. Singh fuzzy time series method is better than the Chen method.Keywords: Import value, fuzzy time series , Chen, S. R. Singh, sMAPE
Analisis Faktor-Faktor Yang Memengaruhi Partisipasi UKM Tahu Dalam Pengelolaan Lingkungan Hidup di Kota Semarang
Authors: Suryoko Sri 
Published: September 2020

Until 2015, in the city of Semarang, there are 92 Tofu SMEs. The contribution of SME’s Tofu to the economic quite large, but the industry has the potenstial to pollute teh environment. The purpose of this study was to determine the factors that affect partisipation of Tofu SME’s in environmental management. Tipe of research is explanatory. The sampling technique using non-probability sampling, and the samples in this study is thirty Tofu SMEs. The analysis is a factor analysis test using SPSS 15,0 for windows. Results of the analysis found that the factors that affect participation of Tofu SME’s consists of variables competence, commitment, and the business environment. Recommendation in this study is the skill to manage the buniness impact Tofu SME’s need to be improved and and increased understanding that the product is environmentally friendly can be a competitive advantage, from business competitors of the same type or from substitte products.Di Kota Semarang sampai dengan tahun 2015, terdapat 92 usaha kecil dan menengah (UKM) Tahu yang memberi sumbangan cukup besar terhadap perekonomian, namun UKM Tahu berpotensi mencemari lingkungan. Tujuan penelitian ini adalah untuk mengetahui faktor-faktor yang memengaruhi partisipasi UKM Tahu dalam pengelolaan lingkungan hidup. Tipe penelitian ini adalah ekaplanatori dengan teknik pengambilan sampel yakni purposive sampling dan jumlah sampel 30 usaha Tahu. Analisis data yang digunakan adalah uji analisis faktor dengan bantuan SPSS 15,0 for windows. Hasil analisis ditemukan bahwa faktor-faktor yang memengaruhi partisipasi IKM Tahu di Kota Semarang terdiri dari variabel-variabel kompetensi, komitmen; dan lingkungan usaha. Rekomendasi yang diajukan adalah bimbingan teknis dalam mengelola dampak lingkungan perlu terus ditingkatkan dan peningkatan pemahaman bahwa produk yang ramah lingkungan dapat menjadi keunggulan dalam bersaing, baik dari pesaing usaha sejenis maupun usaha produk pengganti.
Impact of Company Characteristics on Aggressive Tax Avoidance in Nigerian Listed Insurance Companies
Authors: Yahaya Khadijat Adenola , Yusuf Kabir 
Published: September 2020

Tax avoidance has been identified as one of the tools companies used legally to pay less to government as corporation taxes. This attributed to low revenue target from taxes, thus, holding the continent back by starving the government of the revenue it needs for development. It is against this background, this study examined company characteristics and aggressive tax avoidance in Nigerian listed insurance companies. It assessed the impact of firm size, profitability, leverage and firm age on aggressive tax avoidance of listed insurance companies in Nigeria. The study adopted ex-post facto research design, and data were drawn from the audited annual reports of twenty (20) random sample listed insurance companies between 2010 and 2018. The model of the study was estimated using a two-step system GMM panel model estimator. The results of the study revealed that firm size (coeff of 0.628) and Leverage ( with coeff of 0.549 ) have a positive and significant (p-value < 1% level of significance) impact on aggressive tax avoidance, while firm’ Profitability (coeff of -0.843 ) and Age (with coeff of -0.056 ) have a negative and significant. The study concluded that company characteristics influences aggressive tax avoidance of insurance companies in Nigeria. Specifically, firm’ size and leverage have a positive impact on aggressive tax avoidance in Nigerian listed insurance companies while firm’ profitability and Age have a negative effect on aggressive tax avoidance. Thus, the study recommends among others that firm sixe should be well formulated in accordance with regulating bodies like the Corporate Affairs Commission and National Deposit Insurance Cooperation.
Anestesi Spinal pada Pasien Seksio Sesaria dengan Tuberkulosis Multidrug-resistant (TB MDR)
Authors: Wicaksono Satrio Adi , Uyun Yusmein , Apsari Ratih Kumala Fajar 
Published: September 2020

Latar belakang: Multi Drug Resistant Tuberculosis (MDR-TB) adalah adanya resistensi terhadap obat TB minimal 2 (dua) obat anti TB yang paling poten yaitu INH dan rifampisin secara bersama-sama atau disertai resistensi terhadap obat anti TB lini pertama lainnya seperti etambutol, streptomisin dan pirazinamid. Pemilihan anestesi spinal pada pasien ini merupakan bahan diskusi yang menarik.Kasus: Seorang wanita G2P1A0 dirujuk ke RSUP Dr Kariadi dengan diagnosa TB MDR. Pasien memiliki riwayat flek paru sejak usia 15 tahun. Pasien memiliki keluhan batuk lama saat kehamilan yang pertama dan sempat mengalami putus obat. Pada pemeriksaan fisik didapatkan keadaan umum pasien tampak sesak dengan kesadaran composmentis, BB 43kg, TB 160cm. Tekanan darah 130/80 mmHg, frekuensi nadi 112x/menit, laju napas 28 x/menit, dengan temperatur 37oC. Pada pemeriksaan mata didapatkan konjungtiva palpebra anemis. Pemeriksaan jantung normal dan paru terdengar suara ronki basah kasar di kedua lapang paru. Pada pemeriksaan laboratorium didapatkan anemia dan trombositopenia. Pasien menjalani operasi seksio sesaria dengan anestesi spinal dengan bupivakain 0,5% 10 mg dengan tekanan darah awal 130/80 mmHg. Selama operasi dan pascaoperasi seksio sesaria, hemodinamik pasien stabil, tidak ditemukan hipotensi yang berat maupun kenaikan tekanan darah. Pasien kemudian dirawat di ruangan dengan perawatan pascaoperasi.Pembahasan: Pada penderita TB MDR, hampir seluruh lapang paru diisi oleh infiltrat. Anestesi regional sering disukai pada pasien dengan penyakit paru-paru kronis seperti tuberkulosis daripada anestesi umum untuk menghindari risiko hipersensitivitas pada otot polos bronkhial dan penyempitan saluran udara akibat proses inflamasi, yang dapat berdampak pada morbiditas dan mortalitas selama persalinan operatif. Ketersediaan tes fungsi paru akan sangat membantu ahli anestesi.Kesimpulan: Keadaan paru yang kurang baik dapat menjadi kontra indikasi untuk dilakukan anestesi umum.
The Panzar–Rosse H Statistic and Monopoly. Issues on its Use as a Market Power Measure
Authors: Sanchez-Cartas Juan Manuel 
Published: September 2020

Abstract
This note emphasizes some flaws of the Panzar–Rosse H statistic to address market power. First, I show that it is more related to the pass-through rate than to a market power measure, which implies reconsidering its interpretation and use. Second, I show that the inclusion of other strategic variables rather than prices or quantities may lead to contradictory predictions about market power. Therefore, competition authorities should refrain from using the H statistic to rule out significant market power because it is not a well-behaved measure of the degree of competition.
Convergence of time-splitting approximations for degenerate convection-diffusion equations with a random source
Authors: Díaz-Adame Roberto , Jerez Silvia 
Published: September 2020

AbstractIn this paper we propose a time-splitting method for degenerate convection-diffusion equations perturbed stochastically by white noise. This work generalizes previous results on splitting operator techniques for stochastic hyperbolic conservation laws for the degenerate parabolic case. The convergence inLlocp$\begin{array}{} \displaystyle L^p_{loc} \end{array}$of the time-splitting operator scheme to the unique weak entropy solution is proven. Moreover, we analyze the performance of the splitting approximation by computing its convergence rate and showing numerical simulations for some benchmark examples, including a fluid flow application in porous media.
Sex robot technology and the Narrative Policy Framework (NPF): A relationship in the making?
Authors: Mainenti David C. 
Published: September 2020

AbstractThe use of sex robots is expected to become widespread in the coming decades, not only for hedonistic purposes but also for therapy, to keep the elderly company in care homes, for education, and to help couples in long-distance relationships. As new technological artifacts are introduced to society, they play a role in shaping the societal norms and belief systems while also creating tensions between various approaches and relationships, resulting in a range of policy-making proposals that bring into question traditional disciplinary boundaries that exist between the technical and the social. The Narrative Policy Framework attempts to position policy studies in such a way so as to better describe, explain, and predict a wide variety of processes and outcomes in a political world increasingly burdened by uncertain reporting, capitalistic marketing, and persuasive narratives. Through content analysis, this study identifies coalitions in the scientific community, based on results gathered from Scopus, to develop insights into the manner in which liberal, utilitarian, and conservative influences alike are shaping narrative elements and content both in favor of and against sex robot technology.
Urinary Tract Infection in Pregnant Women at Kathmandu, Nepal
Authors: Thakur Shikha , Nagpal Dr. Komal Lata 
Published: September 2020

Background: Urinary tract infections “UTIs” are one of the frequently encountered problems during pregnancy. Untreated UTI can be associated with serious obstetric complications. Hence the management and prevention of UTI in pregnancy is the crucial factor for the sustained pregnant period. Hence the present study was designed to identify the pathogenic agents of UTI and its associated risk factors in antenatal mothers in two private hospitals at Kathmandu city.
Aim: The main objective of the study was to identify the etiological agent and associated risk factor in Urinary tract infection among pregnant women attending the antenatal care service visit in a selected hospital.
Study Design: Cross-sectional descriptive study.
Place and Time of Study: The study was carried out under the supervision of University and field study was carried out in Kathmandu, Nepal from March 2019 to October 2019.
Methods: The cross-sectional study was performed at the Norvic Hospital and Baidya and Banskota hospital from March 2019 to October 2019. In this cross-sectional study, a total of 510, clean catch midstream urine (MSU) samples were collected aseptically and analyzed using standard microbiology methods. Data for the factors associated with UTI were obtained by use of questionnaires and standard laboratory tests for selected underlying conditions concerning associated risk factors were collected using structured questionnaires and the sample was also processed for antimicrobial drug susceptibility testing.
Results: The study revealed 193/510(37.84%) UTI prevalence among patients attending two hospitals in Kathmandu valley. Escherichia coli was the most prevalent bacterial uropathogen with 119/193(61.6%) followed by Klebsiella pneumoniae 35/193(18.13%), Staphylococcus aureus 22/193 (11.39%), Proteus mirabilis 7/193 (3.6%), Enterococcus faecalis 2/193 (1.0%), Enterobacter aerogenes2/193(1.0%) Serratia odorifera 3/193(1.5%), Streptococcus species3/193(1.5%).
Conclusions: The high prevalence of urinary tract infection in pregnant women warrant the need to screen all pregnant women and treat those infected with appropriate antimicrobial regimens in order to reduce its complications. Urinary Tract Infection screening is essential in pregnant women.