bluuebunny/crossref_metadata_2025 huggingface dataset:
Menakar Keadilan Gender pada Penyelenggaraan Amal Usaha dan Ortom Muhammadiyah di Kabupaten Sikka
Authors: Nuwa Gustav Gisela
Published: September 2020

Paper ini bertujuan menganalisis keadilan gender pada amal usaha dan ortom Muhammadiyah di Pimpinan Daerah Muhammadiyah (PDM) Sikka. Dasar artikel ini mengetahui faktor-faktor pendukung dan penghambat keadilan gender pada amal usaha dan ortom Muhammadiyah di kabupaten Sikka. Analisis Paper menghasilkan 2 hal penting pada pola keadilan gender dinilai cukup dalam memberikan kesempatan pada perempuan dan motivasi besar datang dari faktor pendukung yang memiliki sense of organisasi sangat kuat, anggota masih menerapkan ajaran pada surat An-Nahl, Ayat 97, dan organisasi berupaya besar dalam sistem rekrutmen tenaga yang proporsional. Analisis yang tampak adalah masalah. Hal tersebut menjadi Faktor penghambat, pada kinerja karena jumlah SDM kurang, budaya patriarki yang masih membumi, workshop tentang keadilan gender yang minim. Dampak dari masalah tersebut mengakibatkan eksistensi Muhammadiyah di kabupaten Sikka perlu mendapat suport dalam perkenalan pada kegiatan keadilan gender sehingga dapat dijadikan acuan bagi masyarakat adat, pemerintah, dan LSM yang bicara tentang gender di Sikka.[This paper aims to analyze gender justice in Muhammadiyah charities and orthoms in PDM Sikka. The basis of this article is to find out the supporting and inhibiting factors of gender justice in Muhammadiyah charities and orthoms in Sikka district. The paper analysis produces two essential things in the pattern of gender justice that is considered sufficient in providing opportunities for women, and incredible motivation comes from supporting factors that have a powerful sense of organization, members still apply the teachings of Surah An-Nahl, Paragraph 97. The organization makes great efforts in a proportional staff recruitment system. The visual analysis is a problem. This is an inhibiting factor on performance due to the lack of human resources, a patriarchal culture that is still down to earth, workshops on gender justice are minimal. The impact of this problem resulted in the existence of Muhammadiyah in the Sikka district that needed support in introducing gender justice activities so that it could be used as a reference for indigenous peoples, the government, and NGOs who talk about gender in Sikka.]
O CUIDADO FARMACÊUTICO NA EDUCAÇÃO DE PACIENTES USUÁRIOS DE DISPOSITIVOS MÉDICOS
Authors: Nicoletti Maria Aparecida , Ferraz Tsubak Jacqueline Maria
Published: September 2020

A prática de técnicas incorretas no que diz respeito à classe das “tecnologias assistivas” pode trazer sérias complicações ao indivíduo, como eventos graves de sub ou superdosagem (relacionados, respectivamente, a uma possível falta de efetividade ou exacerbação de resposta). No momento da dispensação de tais produtos, o farmacêutico pode contribuir com melhoria da experiência do paciente e a Educação em Saúde. O objetivo deste estudo foi analisar o atual cenário da utilização de dispositivos médicos pelos próprios usuários, focar nas implicações de sua incorreta realização e destacar oportunidades de atuação do farmacêutico no medicaensinamento de técnicas corretas de utilização. Considerando a expressividade das doenças aos quais estão associados, escolheu-se os seguintes dispositivos: canetas para injeção de insulina; dispositivos para inalação com pó seco e aparelhos para nebulização de medicamentos; e, sistemas de irrigação para colostomia. Foi realizada revisão bibliográfi ca do tipo narrativa dos últimos 20 anos de artigos publicados em inglês, português e espanhol, consultados nas bases de dados SciELO, PubMed, Web of Science e Science Direct, além de revistas/jornais de grande circulação e sites de instituições nacionais e internacionais, respeitando o limite de aproximadamente 2-4 publicações por tema. Os artigos selecionados demonstraram as implicações da má utilização dos referidos dispositivos e discutiram o impacto de intervenções realizadas por profissionais da saúde, principalmente os farmacêuticos, na educação dos usuários de tais produtos, com melhoria da qualidade de vida. Foi possível compreender a importância da Educação em Saúde e verificar a oportunidade do farmacêutico no estabelecimento de planos educacionais nesse cenário.
OS DESAFIOS PARA A ACEITAÇÃO DA HOMEOPATIA COMO UMA PRÁTICA INTEGRATIVA E COMPLEMENTAR NO SUS
Authors: Hadlich Ferraz Ana Caroline , Brustolin Ludwig Daniel
Published: September 2020

A homeopatia é uma terapia holística, fundamentada em 1796, que tem como principal objetivo tratar o indivíduo buscando seu cuidado integral. Chegou ao Brasil em 1840 e foi institucionalizada ao Sistema Único de Saúde (SUS) em 2006, após ser defi nida como uma prática integrativa e complementar. No entanto, a terapia homeopática é pouco aceita pelos gestores, profi ssionais de saúde e usuários do sistema público. Este trabalho tem a fi nalidade de avaliar o conhecimento e a utilização desta terapia, a fi m de traçar os desafios para sua aceitação no SUS, bem como propor maneiras de reduzir a resistência criada em seu entorno. A pesquisa foi desenvolvida de forma exploratória quantitativa, através da aplicação de um questionário online, além da realização de uma revisão bibliográfica na literatura para correlação de dados. A pesquisa contou com 130 participantes, em sua maioria mulheres com idade entre 18 e 29 anos. No aspecto principal do estudo, 95,4% das pessoas conhecem ou ao menos já ouviram falar na homeopatia. Entretanto, somente 16,9% fazem uso desta terapia e 60,5% alegaram não saber que o tratamento pode ser oferecido pelo SUS. A falta de estudos voltados para a sua comprovação científica e a carência de projetos científi cos e de extensão nos cursos de graduação, culminam para baixa aptidão dos profi ssionais de saúde em abordar o sistema de tratamento homeopático. Desta forma destaca-se a importância em intensifi car o currículo homeopático destes profi ssionais e a criação de campanhas públicas para a divulgação da terapia.
CENÁRIO DA DISPENSAÇÃO DE MEDICAMENTOS A PESSOAS DA TERCEIRA IDADE EM FARMÁCIAS COMUNITÁRIAS
Authors: Gomes Diniz Heloísa , Nicoletti Maria Aparecida
Published: September 2020

A avaliação do cenário atual de orientação na dispensação baseada no uso racional de medicamentos realizados em farmácias comunitárias é essencial para propor estratégias que possibilitem a melhoria da qualidade. Avaliar as informações fornecidas durante o atendimento na dispensa de medicamentos aos pacientes de terceira idade em farmácias comunitárias e o grau de satisfação desse grupo. Foi realizado um estudo observacional, do tipo transversal com participantes das atividades culturais na Universidade de São Paulo. Os dados coletados foram tabulados e processados por meio do software Minitab ® 18. Houve uma predominância do gênero feminino, casados (maioria) e o nível de escolaridade foi alto. A maior parte dos participantes considerou o atendimento e as orientações/informações recebidas como “bom”, porém, observou-se que grande parte dos participantes não é orientada a respeito da posologia, possível influênciados alimentos, possíveis interações medicamentosas, condições de conservação do produto, questiona dos sobre outros medicamentos em uso ou possíveis doenças crônicas. Assim são necessárias ações que possibilitem a melhoria da qualidade destes serviços junto à população de acordo com a Resolução da Diretoria Colegiada n. 44/2009.
MEDIVOZ: APLICATIVO DE AUXÍLIO AO USO DE MEDICAMENTOS ISENTOS DE PRESCRIÇÃO
Authors: Ribeiro dos Santos Matheus José , Bueno Michele , Muniz Jaqueline Jóice
Published: September 2020

O índice de utilização de Medicamentos Isentos de Prescrição (MIP) é grande entre a população que, por vezes, utilizam os medicamentos de forma incorreta ou se automedicam sem tomar conhecimento dos riscos que essa atitude pode causar. O presente estudo teve como objetivo a criação e teste de um aplicativo móvel, que permite ao usuário ter acesso a um bulário intuitivo e acessível, com informações diretas e claras a respeito de MIP. O aplicativo MediVoz foi desenvolvido e registrado no Instituto Nacional da Propriedade Industrial (INPI), processo 512018052096-0. Foram entrevistados indivíduos de ambos os sexos acima de 18 anos, que responderam a um questionário com questões sobre o uso de MIP e da funcionalidade do aplicativo. Foi observado que as mulheres apresentam maior frequência de uso destes medicamentos, (51,8%). Quando considerada a renda, os que mais fazem uso frequente de MIP recebem até 3 salários mínimos (52%). Dos entrevistados, 36% responderam que raramente buscam informações sobre os MIP antes de utilizá-los e 26% disseram que raramente recebem informações do farmacêutico sobre o MIP que compram. Em relação ao aplicativo, 97% dos entrevistados afi rmaram que utilizariam o aplicativo Medivoz ao necessitar de informações sobre algum MIP e 98% acharam que a leitura e a pronuncia das informações pelo Medivoz facilitam o entendimento. Todos os entrevistados responderam que o aplicativo Medivoz facilita tirar dúvidas a respeito de MIP. Desta maneira, conclui-se que o Medivoz se mostrou uma ferramenta prática e útil para sanar dúvidas acerca dos MIP.
PERAMALAN JUMLAH PENUMPANG KERETA API MENGGUNAKAN METODE ARIMA, INTERVENSI DAN ARFIMA (Studi Kasus : Penumpang Kereta Api Kelas Lokal EkonomiDAOP IV Semarang)
Authors: Panjaitan Helmi , Prahutama Alan , Sudarno Sudarno
Published: September 2020

Autoregressive Integrated Moving Average (ARIMA) is stationary time series model after differentiation. Differentiation value of ARIMA method is an integer so it is only able to model in the short term. The best model using ARIMA method is ARIMA([13]; 1; 0) with an MSE value of 1,870844. The Intervention method is a model for time series data which in practice has extreme fluctuations both up and down. In the data plot the number of train passengers was found to be extreme fluctuation. The data used was from January 2009 to June 2017 where fluctuation up significantly in January 2016 (T=85 to T=102) so the intervention model that was suspected was a step function. The best model uses the Intervention step function is ARIMA ([13]; 1; 1) (b=0; s=18; r=0) with MSE of 1124. Autoregressive Fractionally Integrated Moving Average (ARFIMA) method is a development of the ARIMA method. The advantage of the ARFIMA method is the non-integer differentiation value so that it can overcome long memory effect that can not be solve with the ARIMA method. ARFIMA model is capable of modeling high changes in the long term (long term persistence) and explain long-term and short-term correlation structures at the same time. The number of local economy class train passengers in DAOP IV Semarang contains long memory effects, so the ARFIMA method is used to obtain the best model. The best model obtained is the ARMA(0; [1,13]) model with the differential value is 0,367546, then the model can be written into ARFIMA (0; d; [1,13]) with an MSE value of 0,00964. Based on the analysis of the three methods, the best method of analyzing the number of local economy class train passengers in DAOP IV Semarang is the ARFIMA method with the model is ARFIMA (0; 0,367546; [1,13]). Keywords: Train Passengers, ARIMA, Intervention, ARFIMA, Forecasting
PEMODELAN PENGELUARAN PER KAPITA DAN PERSENTASE PENDUDUK MISKIN DI JAWA TENGAH MENGGUNAKAN REGRESI BIRESPON SPLINE TRUNCATED
Authors: Pangestikasari Merinda , Rahmawati Rita , Ispriyanti Dwi
Published: September 2020

The Central Bureau of Statistics states that the average per capita spending (Y1) of Central Java Community in 2016 is around 27.808 rupiah per day. This value is still considered low, because it covers all the needs of an individual's life. The low expenditure per capita indicates the low level of welfare. Another indicator that can be used to measure community welfare is the percentage of poverty (Y2). Through this variable can be known how proportion of people who still difficult to meet their needs. Many factors are suspected to affect welfare, one of which is the average variable of school length (X). This study aims to get the best model and know the goodness of the model. Approach is done by nonparametric regression that is regres biresponse spline truncated. Nonparametric approach is done when data function does not show certain pattern. The best spline truncated biresponse model is highly dependent on determining the order and location of the optimal knot point that has a minimum Mean Square Error (MSE) value. In this study, the best model is obtained when order of Y1 is 2 and order of Y2 is 2 with five knots. The location of the knot point obtained is 7,05; 7,17; 7,32; 9,82 and 10,29 with MSE value of 662634,2. The goodness of the model is measured based on R-Square and MAPE, R-Square=43,21%, means the variance of response variables that can be explained by the predictor variable are 43,21% while the rest is influenced by other variables and MAPE=14,25%. Based on the value of MAPE can be said that the model had a good performance. Keywords: Welfare, Expenditure, Percentage of Povery, Birespon Spline, Truncated, MSE
GENERALIZED PARETO DISTRIBUTION UNTUK PENGUKURAN VALUE AT RISK PADA PORTOFOLIO SAHAM SYARIAH DAN APLIKASINYA MENGGUNAKAN GUI MATLAB
Authors: Rahma Desi Nur , Maruddani Di Asih I , Tarno Tarno
Published: September 2020

The capital market is one of long-term investment alternative. One of the traded products is stock, including sharia stock. The risk measurement is an important thing for investor in other that can decrease investment loss. One of the popular methods now is Value at Risk (VaR). There are many financial data that have heavy tailed, because of extreme values, so Value at Risk Generalized Pareto Distribution is used for this case. This research also result a Matlab GUI programming application that can help users to measure the VaR. The purpose of this research is to analyze VaR with GPD approach with GUI Matlab for helping the computation in sharia stock. The data that is used in this case are PT XL Axiata Tbk, PT Waskita Karya (Persero) Tbk, dan PT Charoen Pokphand Indonesia Tbk on January, 2nd 2017 until May, 31st 2017. The results of VaRGPD are: EXCL single stock VaR 8,76% of investment, WSKT single stock VaR 4% of investment, CPIN single stock VaR 5,86% of investment, 2 assets portfolio (EXCL and WSKT) 4,09% of investment, 2 assets portfolio (EXCL and CPIN) 5,28% of investment, 2 assets portfolio (WSKT and CPIN) 3,68% of investment, and 3 assets portfolio (EXCL, WSKT, and CPIN) 3,75% of investment. It can be concluded that the portfolios more and more, the risk is smaller. It is because the possibility of all stocks of the company dropped together is small. Keywords: Generalized Pareto Distribution, Value at Risk, Graphical User Interface, sharia stock
PEMODELAN REGRESI RIDGE ROBUST-MM DALAM PENANGANAN MULTIKOLINIERITAS DAN PENCILAN (Studi Kasus : Faktor-Faktor yang Mempengaruhi AKB di Jawa Tengah Tahun 2017)
Authors: Destiyani Eka , Rahmawati Rita , Suparti Suparti
Published: September 2020

The Ordinary Least Squares (OLS) is one of the most commonly used method to estimate linear regression parameters. If multicollinearity is exist within predictor variables especially coupled with the outliers, then regression analysis with OLS is no longer used. One method that can be used to solve a multicollinearity and outliers problems is Ridge Robust-MM Regression. Ridge Robust-MM  Regression is a modification of the Ridge Regression method based on the MM-estimator of Robust Regression. The case study in this research is AKB in Central Java 2017 influenced by population dencity, the precentage of households behaving in a clean and healthy life, the number of low-weighted baby born, the number of babies who are given exclusive breastfeeding, the number of babies that receiving a neonatal visit once, and the number of babies who get health services. The result of estimation using OLS show that there is violation of multicollinearity and also the presence of outliers. Applied ridge robust-MM regression to case study proves ridge robust regression can improve parameter estimation. Based on t test at 5% significance level most of predictor variables have significant effect to variable AKB. The influence value of predictor variables to AKB is 47.68% and MSE value is 0.01538.Keywords:  Ordinary  Least  Squares  (OLS),  Multicollinearity,  Outliers,  RidgeRegression, Robust Regression, AKB.
PERAMALAN PRODUK DOMESTIK BRUTO (PDB) SEKTOR PERTANIAN, KEHUTANAN, DAN ‎PERIKANAN MENGGUNAKAN SINGULAR SPECTRUM ANALYSIS (SSA)
Authors: Hardi Desy Tresnowati , Safitri Diah , Rusgiyono Agus
Published: September 2020

Forecasting is the process of estimating conditions in the future by testing conditions from the past. One of the forecasting methods is Singular Spectrum Analysis (SSA) which aim of SSA is to make a decomposition of the original series into the sum of a small number of independent and interpretable components such as a slowly varying trend, oscillatory components and a structureless noise. Gross Domestic Product data in the agriculture, forestry, and fisheries sector are time series data with trend and seasonal pattern so that it can be processed using the SSA method. The forecasting process of SSA method uses the main parameter (L) of 21 obtained by the Blind Source Separation (BSS) method. From forecasting, acquired group of 3 groups. Forecasting resulted the value of Mean Absolute Percentage Error (MAPE) is 1.59% and the value of tracking signal is 2.50, which indicates that the results of forecasting is accurate. Keywords: Forecasting, Gross Domestic Product in the agriculture, forestry, and fisheries sector, Singular Spectrum Analysis (SSA)
METODE GENERALIZED MEAN DISTANCE-BASED K-NEAREST NEIGHBOR CLASSIFIER (GMDKNN) UNTUK ANALISIS CREDIT SCORING CALON DEBITUR KREDIT TANPA AGUNAN (KTA)
Authors: Saraswati Mei Sita , Mukid Moch. Abdul , Hoyyi Abdul
Published: September 2020

Unsecured Credit is one of the credit facilities provided by banks, where the prospective debtor can borrow some amount of fund from the bank without having to provide collateral. Credit scoring is a process that aims to assess the worthiness of credit applications and classify the credit applicants into prospective debtors whose the credit application is worthy to be accepted and prospective debtors whose the credit application should be rejected. One of the statistical methods that can be applied in examining the analysis of credit scoring is the Generalized Mean Distance-Based k-Nearest Neighbor (GMDKNN) classifier. Empirical study on this method uses 23,337 data of prospective debtor of unsecured credit in 2018, with the dependent variable being the credit scoring final decision and seven independent variables, i.e. age, child dependent, length of employment, age of the company, income, loan proposed, and duration of credit. Based on the feature selection test, all independent variables are significantly taking effect on the credit scoring final decision. The best classification model is obtained in the parameters k = 137 and p = -1 with the classification performance metrics represented by the values of APER = 0,2580, accuracy = 74,20%, sensitivity = 0,6083, specificity = 0,8393, AUC = 0,7238, and G-Mean = 0,7146.Keywords: Unsecured Credit, credit scoring, classification, Generalized Mean Distance-Based k-Nearest Neighbor (GMDKNN).
Pencarian Jalur Terpendek Menggunakan Metode Algoritma “Ant Colony Optimization” Pada GUI Matlab (Studi Kasus: PT Distriversa Buana Mas cabang Purwokerto)
Authors: Risqiyanti Via , Yasin Hasbi , Santoso Rukun
Published: September 2020

For company, shortest distribution route is an important thing to be developed in order to obtain effectiveness in the distribution of products to consumers. One way of development is to find the shortest route with Ant Colony Optimization algorithm. This algorithm is inspired by the behavior of ant colonies that can find the shortest path from the nest to the food source. One example of a distribution company is PT Distriversa Buana Mas, also known as DBM. DBM is a physical distribution company covering the entire Indonesian archipelago specialized in the distribution of pharmaceuticals and consumer goods such as personal care, cosmetic and food products. DBM uses land transportation in 18 brances spread across Indonesia. One branch of DBM is in the Purwokerto region that distributes products to 29 stores in the Purbalingga region. This research is done with the help of GUI as a computation tool. Based on test results, the GUI system that has been built able to simplify and speed up the selection process of finding the shortest route for distribute product of DBM in the Purbalingga region. Keywords: Travelling Salesman Problem, Distriversa Buana Mas, Algorithm, Ant Colony Optimization, GUI
PENENTUAN FAKTOR-FAKTOR YANG MEMPENGARUHI INTENSITAS CURAH HUJAN DENGAN ANALISIS DISKRIMINAN GANDA DAN REGRESI LOGISTIK MULTINOMIAL (Studi Kasus: Data Curah Hujan Kota Semarang dari Stasiun Meteorologi Maritim Tanjung Emas Periode Oktober 2018 – Maret 2019)
Authors: Rohmana Shella Faiz , Rusgiyono Agus , Sugito Sugito
Published: September 2020

Meteorologist develop rainfall forecasting methods to obtain better and more accurate rainfall information. One of them is the research of grid data and the method of grouping rainfall. According to BMKG, rainfall is classified into light, medium, and heavy rain. This study aims to determine the factors that influencing rainfall grouping using multiple discriminant analysis with a stepwise selection method. This study uses the daily climate data of Semarang City for period of October 2018 to March 2019. Based on its partial F value, the wind speed variable is eliminated so the significant variable on rainfall grouping are air temperature, air humidity, and wind direction. This analysis produces discriminant scores obtained from linear combinations between discriminant weights and observation values of significant independent variable. The classification procedure is based on the discriminant score each observations compared to cutting score resulted in classification accuracy of 62.89%. Multinomial logistic regression analysis is used to determine the effect of independent variables on rainfall intensity using the odds ratio. This analysis produces an estimate of the conditional probability of each group using significant independent variables are air temperature, air humidity, wind speed, and wind direction. The classification procedure is based on the largest conditional probability value between rainfall groups resulted in classification accuracy of 69.80%. Keywords: multiple discriminant analysis, multinomial logistic regresion, classification accuracy, rainfall
PEMODELAN KECEPATAN ANGIN DI KOTA SEMARANG MENGGUNAKAN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)
Authors: Zahlevi Alifah , Prahutama Alan , Hoyyi Abdul
Published: September 2020

Semarang city is the one of the strategic areas located in the middle of the north coast of Java that has a tropical climate with the high humidity and temperature, so it often causes a high rainfall and strong wind. So that is way Semarang city is ever sustained the extreme weather like a Tropical Storm. Since January 2016 until 2017 there are 34 cases of Tornado and 24 incidents of fallen trees because of the gale. For helping the people to be allert the effect of the strong winds can be done by predicting the average of wind velocity by using Adaptive Neuro-Fuzzy Inference System (ANFIS) method which can predict the climate change that do not require the assumption of white noise and normal residual distribution. In addition ANFIS is a group of neural network with input that has been fuzzied on the first or second layer, but the weight of the artificial neural is not fuzzied. The identification result of stationaries obtained the plot of PACF on the first and second lag, with the result that these lag which will be a input variable on ANFIS model. The result of ANFIS by using cluster FCM, the third total membership show the smallest percentage of RMSE in-sample is 0,0048 on the first lag, and the smallest percentage of RMSE out-sample is 0,008 on the ANFIS model with the input lag 1 and three cluster. Keywords : the average of wind velocity, ANFIS, RMSE
PERAMALAN MENGGUNAKAN METODE WEIGHTED FUZZY INTEGRATED TIME SERIES (Studi Kasus: Harga Beras di Indonesia Bulan Januari 2011 s/d Desember 2017)
Authors: Rahmawan Setya Adi , Safitri Diah , Widiharih Tatik
Published: September 2020

Fuzzy Time Series (FTS) is a time series data forecasting technique that uses fuzzy theory concepts. Forecasting systems using FTS are useful for capturing patterns of past data and then to using it to produce information in the future. Initially in the FTS each pattern of relations formed was considered to have the same weight besides using only the first order. In its development the Weighted Fuzzy Integrated Time Series (WFITS) which gave a difference in the weight of each relation and high order usage has been appeared. Measuring the accuracy of forecasting results is used the value of Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). In this study both the first-order and high-order WFITS methods were applied to forecast rice prices in Indonesia based on data from January 2011 to December 2017. In this regard, the results of the analysis obtained data forecasting using Lee's high-order model WFITS algorithm (1,2,3) giving the value of RMSE and MAPE on the data testing in a row as many as 69,898 and 0.47% while for the RMSE and MAPE on the training data is as many as 70.4039 and 0.54%. Keywords: Fuzzy Time Series, Weighted Fuzzy Integrated Time Series, RMSE, MAPE, High-Order, Rice Prices
PERBANDINGAN NILAI KORELASI PADA KANONIK ROBUST (METODE MINIMUM COVARIANCE DETERMINANT) DAN KANONIK KLASIK (Studi Kasus Data Struktur Ekonomi dan Kesejahteraan Rakyat di Jawa Barat 2016)
Authors: Rahayu Widi , Sudarno Sudarno , Prahutama Alan
Published: September 2020

Canonical correlation analysis is a multivariate statistical analysis that aims to examine the correlation between two groups of variabels in a way to maximize the value of correlation between variabels. The outlier in the data affect the covariance matrix is generated, So that use robust multivarat. There is robust multivariate approach to the analysis of canonical robust with MCD method (Minimum Covariance Determinant). This final project aims to determine comparison between correlation value of robust canonical with MCD and canonical classical methods. With a data theres containing of outliers in the case studies of people's welfare and economic structures in West Java in 2016. Used a set of variabels welfare of people consist of 6 variabel (Y) and a set of variabels economic structure which consists of four variabels (X). Based on the analysis results obtained that robust canonical correlation values better explain the correlation between two sets of variabels, the correlation value 0.99552, =0.91228, =0.71529, =0.63174, While the correlation value on classical canonical are 0.931489, 0.538672, 0.387099, 0.259318, Canonical robust can be interpreted more because it meets the test of significance are partially and directly, while the classical canon can not be interpreted further because it does not meet the test of the significance of the function. Keywords       : Classical canonical correlation, canonical correlation robust correlation value, Minimum Covariance Determinant (MCD)
VALUE AT RISK PADA PORTOFOLIO SAHAM DENGAN COPULA ALI-MIKHAIL-HAQ
Authors: Nurutsaniyah Delsy , Widiharih Tatik , Maruddani Di Asih I
Published: September 2020

Investment is one alternative to increase assets in the future. Investors can invest in a portfolio to reduce the level of risk. Value at Risk (VaR) is a measuring tool that can calculate the worst loss over a given time period at a given confidence level. GARCH (Generalized Autoregressive Conditional Heteroskedasticity) is used to model data with high volatility. The teory of copula is a powerful tool for modeling joint distribution for any marginal distributions. Ali-Mikhail-Haq copula from Archimedean copula family can be applied to data with dependencies τ between -0.1817 to 0.3333. This research uses Ali-Mikhail-Haq copula with a Monte Carlo simulation to calculate a bivariate portfolio VaR from a combination stocks of PT Pembangunan Perumahan Tbk. (PTPP), PT Bank Tabungan Negara Tbk. (BBTN), and PT Jasa Marga Tbk. (JSMR) in the period of March 3, 2014 - March 1, 2019. The results of VaR calculation on bivariate portfolio for next 1 day period obtained the lowest VaR is owned by bivariate portfolio between PTPP and JSMR with a weight of 30% and 70% at confidence level of 99%, 95%, and 90% respectively are 4.014%, 2.545%, and 1.876%.Keywords: Value at Risk, GARCH, Ali-Mikhail-Haq Copula, Monte Carlo
ROBUST SPATIAL AUTOREGRESSIVE UNTUK PEMODELAN ANGKA HARAPAN HIDUP PROVINSI JAWA TIMUR
Authors: Musyarofah Hidayatul , Yasin Hasbi , Tarno Tarno
Published: September 2020

Spatial regression analysis is regression method used for type of data has a spatial effect. Spatial regression showing the presence of spatial effects on the response variable (Y) is a Spatial Autoregressive (SAR). Outlier often found in research spatial data. The outlier is called the spatial outliers. The analysis can be used to handle outliers in general is Robust Regression. There are several estimator that can be used in which the estimator Robust Regression S, M, MM and LTS. Meanwhile, Robust Regression were used to handle spatial outlier is a combination of SAR and Regression Robust method to form a new method that is Robust Spatial Autoregressive (Robust SAR). Type estimator used in this study is the S-Estimator. This study was conducted to determine the best model on a case study Life Expectancy of East Java Province. The best model is analyzed by comparing the methods of SAR and SAR Robust method. Based on the analysis results obtained MSE and Adjusted R2 values for the SAR method are 1.7521 and 55.54% while for the Robust SAR method are 0.7456 and 62.30%. The Robust SAR model has a lower MSE value and a higher Adjusted R2 when compared to the SAR model. Thus the best model for modeling the life expectancy in East Java is Robust SAR models.Keywords:Spatial Autoregressive (SAR), Robust SAR, Life expectancy
IMPLEMENTASI JARINGAN SYARAF TIRUAN BACKPROPAGATION DENGAN ALGORITMA CONJUGATE GRADIENT UNTUK KLASIFIKASI KONDISI RUMAH (Studi Kasus di Kabupaten Cilacap Tahun 2018)
Authors: Prabowo Johanes Roisa , Santoso Rukun , Yasin Hasbi
Published: September 2020

House is one aspect of the welfare of society that must be met, because house is the main need for human life besides clothing and food. The condition of the house as a good shelter can be known from the structure and facilities of buildings. This research aims to analyze the classification of house conditions is livable or not livable. The method used is artificial neural networks (ANN). ANN is a system information processing that has characteristics similar to biological neural networks. In this research the optimization method used is the conjugate gradient algorithm. The data used are data of Survei Sosial Ekonomi Nasional (Susenas) March 2018 Kor Keterangan Perumahan for Cilacap Regency. The data is divided into training data and testing data with the proportion that gives the highest average accuracy is 90% for training data and 10% for testing data. The best architecture obtained a model consisting of 8 neurons in input layer, 10 neurons in hidden layer and 1 neuron in output layer. The activation function used are bipolar sigmoid in the hidden layer and binary sigmoid in the output layer. The results of the analysis showed that ANN works very well for classification on house conditions in Cilacap Regency with an average accuracy of 98.96% at the training stage and 97.58% at the testing stage.Keywords: House, Classification, Artificial Neural Networks, Conjugate Gradient
PENGUKURAN RISIKO GLUE-VALUE-AT-RISK PADA DATA DISTRIBUSI ELLIPTICAL (Studi Kasus: Data Saham PT Indocement Tunggal Prakarsa Tbk, PT Unilever Indonesia Tbk, PT United Tractors Tbk, Periode 1 Juni 2018 – 29 November 2019)
Authors: Andrianto Dede , Maruddani Di Asih I , Tarno Tarno
Published: September 2020

Risk measurement is carried out to determine the risk. Popular methods that can be used to measure risk at a confidence level are Value-at-Risk (VaR) and Tail-Value-at-Risk (TVaR). A Risk measurement should satisfy: translation invariance, positive homogenicity, monocity and subadditivity. VaR does not satisfy one of coherent axioms, namely subadditivity. TVaR is considered capable of overcoming VaR problems, but it’s too large for a risk measure. Glue-Value-at-Risk (GlueVaR) is a method that can overcome these problems because it can be valued between VaR and TVaR and fulfills four coherent axioms. In this paper GlueVaR used in the elliptical distribution for normal distribution to measure the risk of the stock of PT Indocement Tunggal Prakarsa Tbk (INTP), PT Unilever Indonesia Tbk (UNVR), and PT United Tractors Tbk (UNTR) for the period June 1st 2018 – 29th November 2019. After knowing the stock return is normally distributed and used confidence levels of α = 95% and β = 98%, a high selection of distortion ℎ1=0,3≤1−𝛽1−𝛼 and ℎ2=0,4≥ℎ1. The high distortion selected makes GlueVaR worth between VaR and TVaR. GlueVaR for INTP, UNVR, and UNTR respectively are 4.886%; 2.999%; and 4.083%. Thus the lowest risk level is PT Unilever Indonesia Tbk.Keywords : Value-at-Risk, Tail-Value-at-Risk, Glue-Value-at-Risk
Focal areas of a high rate of fragile X in Indonesia: a long term follow up
Authors: Faradz Sultana MH , Winarni Tri Indah
Published: September 2020

Fragile X syndrome (FXS) is the most common cause of inherited intellectual disability (ID) and a leading cause of autism spectrum disorder (ASD). FXS is caused by an expansion of CGG repeats >200 in the 5′ untranslated region of the promotor region fragile X mental retardation 1 gene (FMR1), which is located on Xq27.3.  The abnormal CGG expansion leads to methylation and transcriptional silencing of the FMR1 gene, resulting in a reduction or loss of fragile X mental retardation 1 protein (FMRP) and causes long, thin, and immature dendritic spines, which lead to deficits in cognitive function, behavioral problems, and learning ability
Randomized Controlled Trial of Tranexamic Acid’s Effect on Bleeding Length: A Study on DMPA Users with Abnormal Uterine Bleeding Who Receive Low-Dose Oral Contraceptive Pill
Authors: Adawiyah Rabiah , Mulyantoro Inu , Dewantiningrum Julian , Pramono Noor
Published: September 2020

ABSTRACTBackground: Contraceptive injection is the most common contraception used in Indonesia. Among the contraceptive injections, depomedroxy progesterone acetate (DMPA) is the most effective method with pregnancy rate of 0,3 pregnancy in 100 women annually. Abnormal uterine bleeding (AUB) is a common side effect occurred in DMPA users which leads to the discontinuation of contraception.Objective: To explore the effect of tranexamic acid on bleeding length for DMPA users with AUB who receive low dose Oral Contraceptive Pills (OCP).Methods: We performed double blind randomized control trial between  two groups to investigate the effect of tranexamic in managing AUB in DMPA users who receive low dose OCP. This study was performed in Dr. Kariadi Hospital Semarang, Indonesia. Forty-four subjects were divided into two groups, equally. Group 1 received 250 mg tranexamic acid four times a day for 5 days and OCP once a day for 28 days, while Group 2 received placebo four times a day for 5 days and OCP once a day for 28 days. Both groups were evaluated for bleeding length during treatment and were analyzed using Mann Whitney for post treatment with tranexamic acid.Results: The mean bleeding length was 5.2±3.62 days and 9.2±6.16 days in group 1 and 2 respectively. These bleeding lengths were significantly different between both groups (p=0.018). The precentage of subjects in whom bleeding was stopped during the first week after initial treatment was significantly higher in  group  1 than group 2 (77,3 % vs 45,5 %, p<0,030).Conclusion: Tranexamic acid significantly reduced the bleeding length in DMPA users who use OCP.
Fragile X Syndrome and Targeted Treatments
Authors: Tassanakijpanich Nattaporn , Cabal-Herrera Ana María , Salcedo-Arellano Maria Jimena , Hagerman Randi Jenssen
Published: September 2020

Many targeted treatment studies have been carried out in individuals with Fragile X Syndrome (FXS) guided by animal studies from the Fragile X Mental Retardation 1 (FMR1) knock out (KO) mice and the fragile X Drosophila studies. Here we review the many medications that have been studied in patients with FXS and some of these medications are available for clinical use by wise clinicians. Other medications are not currently available by prescription because they are not approved by the FDA. No medication has received specific approval for treatment of FXS, although some have shown benefit from clinical studies. There is much to be done in the treatment of those with FXS and this report describes those pharmacological treatments that target the neurobiological mechanisms that are dysregulated by the lack of the Fragile X Protein (FMRP) in those with FXS.
Optimizing Real-Time PCR methods for detection of ssaN gene Salmonella enterica subsp.enterica in the blood specimen
Authors: Puspita Oktania Sandra , Yasmon Andi , Dewi Beti Ernawati
Published: September 2020

Background Typhoid fever caused by Salmonella typhi is a common acute infection of the reticuloendothelial system, intestinal lymphoid tissue, and gall bladder. Detection of Salmonella spp. is still based on cultures and serological methods.Widal test is one of the serological tests that is still widely used, especially in developing countries including Indonesia.Widal tests have low sensitivity and specificity. They often produce false positive or false negative results.ObjectiveThe aim of this study were i) real time PCR optimization to develop a Salmonella enterica detection system. ii) molecular detection of new target gene (ssaN gene) from blood specimens in typhoid fever patients.Methods An experimental laboratory study was performed from March to October 2016. Extraction of Salmonella typhi DNA is used as templates for the optimization of real time PCR reaction.The blood sample was from patients suspected with typhoid fever obtained from the Menteng Sub-district Health Center according to the inclusion criteria.ResultsSpecificity test of real time PCR showed that the primers and probes used are not cross-react against other microorganisms. Sensitivity test obtained minimal detection is at least 10 cfu/ml of blood specimen. In blood clinical specimens, real time PCR could detect 19 (38%) positive samples of 50 blood specimen from suspected typhoid fever patients. Eleven samples with negative Widal serology gives positive results in real time PCR.ConclusionReal time PCR used in this study can increase the level of rate of positive testing by 22% of the total specimens.Keywords : Salmonella enterica subsp.enterica, typhoid fever, ssaN gene, real time PCR
In silico Identification of Characteristics Spike Glycoprotein of SARS-CoV-2 in the Development Novel Candidates for COVID-19 Infectious Diseases
Authors: Fakih Taufik Muhammad , Dewi Mentari Luthfika
Published: September 2020

Background: The emergence of infectious diseases caused by SARS-CoV-2 has resulted in more than 90,000 infections and 3,000 deaths. The coronavirus spike glycoprotein encourages the entry of SARS-CoV-2 into cells and is the main target of antivirals. SARS-CoV-2 uses ACE2 to enter cells with an affinity similar to SARS-CoV, correlated with the efficient spread of SARS-CoV-2 among humans.Objective: In the research, identification, evaluation, and exploration of the structure of SARS-CoV and SARS-CoV-2 spike glycoprotein macromolecules and their effects on Angiotensin-Converting Enzyme 2 (ACE-2) using in silico studies.Methods: The spike glycoproteins of the two coronaviruses were prepared using the BIOVIA Discovery Studio 2020. Further identification of the three-dimensional structure and sequencing of the macromolecular spike glycoprotein structure using Chimera 1.14 and Notepad++. To ensure the affinity and molecular interactions between the SARS-CoV and SARS-CoV-2 spike glycoproteins against ACE-2 protein-protein docking simulations using PatchDock was accomplished. The results of the simulations were verified using the BIOVIA Discovery Studio 2020.Results: Based on the results of the identification of the macromolecular structure of the spike glycoprotein, it was found that there are some similarities in characteristics between SARS-CoV and SARS-CoV-2. Protein-protein docking simulations resulted that SARS-COV-2 spike glycoprotein has the strongest bond with ACE-2, with an ACE score of −1509.13 kJ/mol.Conclusion: Therefore, some information obtained from the results of this research can be used as a reference in the development of SARS-CoV-2 spike glycoprotein inhibitor candidates for the treatment of infectious diseases of COVID-19.
Knowing When and How to Fight: COVID-19 Between Viral Clearance and Immune Tolerance
Authors: Utomo Ahmad
Published: September 2020

ABSTRACTCOVID-19 is a complex disease involving immunological, vascular, and metabolic pathology caused by and consequences of beta-coronavirus SARS-CoV-2 infection. One may use Sun Tzu analogy of war to fight COVID-19 and to survive infection.  When enemy has not reached the shore, gathering much intelligence is key to know how the enemy moves and who would be the most vulnerable targets of enemy attacks. Physical distancing, massive nucleic acid testing, and identification of comorbidity may prepare for the incoming enemies. Physical distancing has helped to limit transmission of the virus that mainly due to close contacts with droplets coughed off infected individuals. Moreover, aerosolized virus particles may also contribute to spreading. Nucleic acid testing using real time PCR platform has been a diagnostic gold standard to identify infected individuals during early stage of infection. On the other hand, serological test to capture antibody against SARS-CoV-2 may be useful for immunosurveillance.  Discovery of human ACE2 (angiotensin converting enzyme) protein as an obligate partner of SARS-CoV-2 viral entry has provided insights to mechanisms of serious post-infection ramifications to individuals having comorbidities such as hypertension, diabetes or heart conditions.  When the enemy reaches ashore, thorough profiling of biomarkers involved in inflammation and coagulation (IL-6, lymphopenia, ground glass opacity, d-dimers, thrombocytopenia) may help predict disease progression and guide treatment strategy. While estimated 80% of infected individuals may recover on their own, the remaining 20% may require hospitalization and serious therapeutic intervention. Several clinical trials are underway such as repurposing existing drugs and evaluating efficacy of convalescence plasma therapy. Finally, vaccine development using genetic engineering may also help control the global spread if it is proven effective.
The Study Biological Aspects of Parapenaeopsis coromandelica on Cilacap Water, Central Java
Authors: Widyaningrum Pramesti Budi , Saputra Suradi Wijaya , Solichin Anhar
Published: September 2020

Kabupaten Cilacap merupakan salah satu kabupaten yang memilki potensi yang tinggi di bidang perikanan tangkap karena terletak di pesisir pantai selatan Pulau Jawa dimana terdapat pangkalan perikanan yang terbesar. Pemanfaatan udang P.coromandelica yang terus meningkat, menyebabkan tingginya intensitas penangkapan dan menurunnya daya dukung lingkungan perairan Kab. Cilacap, hal ini memungkinkan perkembangan stok dari jenis udang ini terhambat. Tujuan dari penelitian ini adalah untuk mengetahui aspek biologi, status pemanfaatan dan konsep pengelolaan udang P. coromandalica di perairan Cilacap. Metode penelitian yang digunakan adalah metode survey, dengan teknik pengambilan sampel secara simple random sampling yaitu mengambil sampel udang sekitar 10% dari total hasil tangkapan salah satu alat tangkap jaring arad pada setiap TPI. Jenis data yang digunakan yaitu data primer dan data sekunder. Penelitian ini dilakukan pada bulan September – Desember 2012. Hasil penelitian menunjukkan bahwa Pertumbuhan udang P.coromandelica jantan dan betina memiliki nilai b 1,657 dan 2,22 ini menunjukan bahwa pertumbuhan udang bersifat allometrik negative. Sebagian besar udang P.coromandelica belum matang gonad dan belum siap memijah. faktor kondisi untuk udang P.coromandelica jantan dan betina menunjukkan 1,054 dan 1,117 bahwa tubuh udang kurus. Nisbah kelamin jantan dan betina adalah 1 : 1,545 artinya bahwa perairan Kab. Cilacap tersebut masih normal. Nilai Lm 41 mm, Lc50% 37 mm dan nilai L∞ jantan dan betina adalah 53,68 mm dan 64,21mm. Nilai Lc50% lebih besar dari nilai setengah L∞, itu berarti udang P. coromandalica sudah layak tangkap.
KONVERSI TONASE AIR DENGAN BERAT GARAM YANG TERBENTUK DI AREAL PERTAMBAKAN TANGGULTLARE JEPARA
Authors: Sartono Cinthia Morris , Soedarsono Prijadi , Muskanonfola Max Rudolf
Published: September 2020

Indonesia memiliki laut yang luas serta berbagai sumberdaya yang terkandung didalamnya seperti kadar garam yang tinggi. Penelitian ini menggunakan metode deskriptif dan pengambilan data mengunakan metode purposive sampling. Tambak yang digunakan yaitu sebanyak empat tambak. Pengumpulan data pada penelitian ini yaitu meliputi data primer dan data sekunder. Dimana data primer mencakup pengukuran salinitas, suhu udara, suhu air dan luas serta kedalaman tambak sehingga diperoleh volume tambak, sedangkan data skunder yang digunakan yaitu data curah hujan Kabupaten Jepara. Hasil penelitian menunjukan bahwa volume tambak A 7.020 l menghasilkan 1,21 ton garam selama 4 hari. Volume tambak B 7.810 l menghasilkan 1,22 ton garam selama 5 hari. Volume tambak C 9.920 l menghasilkan 1,23 ton garam selama 5 hari. Volume tambak D 11.420 l menghasilkan 1,26 ton garam selama 5 hari.
HUBUNGAN JALUR MIGRASI PENYU LEKANG (Lepidochelys olivacea) TERHADAP TINGGI MUKA LAUT, SUHU PERMUKAAN LAUT, KLOROFIL-a di PERAIRAN INDONESIA
Authors: Manurung Monica Evi Suanty , Hartoko Agus , Subiyanto -
Published: September 2020

Penyu adalah satwa yang terancam kepunahannya. Transmitter dalam pemantauan penyu dapat memberikan data jelajah penyu yang akurat beserta parameter oseanografinya. Metode penelitian ini menggunakan metode deskripsi. Tahapan penelitian meliputi pengambilan data dari satelit NOAA (tinggi muka laut, suhu permukaan laut dan klorofil-a) dan data titik koordinat penyu. Data kemudian diolah dengan menggunakan Er Mapper 7.0. Hasil dari penelitian ini menunjukkan bahwa penyu lekang yang telah di pasang transmitter terpantau jalur migrasinya dari Selat Bali, Gilimanuk, Bali Utara,/Situbondo, Selat Madura, Madura Utara dan Selat Makassar. Distribusi tinggi muka laut berdasarkan titik koordinat penyu selama lima bulan (Juni, Juli, Agustus, November dan Desember) 2009 pada 7 lokasi yang berbeda yaitu dengan nilai minimum 44 cm dan maksimum 79 cm, sedangkan distribusi suhu permukan laut dengan nilai minimum 260C dan maksimum 300C, dan untuk distribusi klorofil-a dengan nilai minimum 0.219 mg/m3 dan nilai maksimum 2.77 mg/m3. Korelasi/keeratan hubungan posisi penyu terhadap tinggi muka laut, dengan nilai (r) yaitu 0.873 mempunyai interpretasi atau hubungan yang tinggi. Nilai (r) suhu permukaan laut yaitu 0.78 menunjukkan bahwa interpretasi sedang, dan untuk klorofil-a didapatkan nilai (r) yaitu 0.69, nilai ini menunjukkan bahwa interpretasi sedang.