Unisda Journal of Mathematics and Computer Science (UJMC)最新文献

{"title":"Analisis Sistem Antrian Pasien Rawat Jalan Menggunakan Distribusi Poisson dan Distribusi Erlang","authors":"S. Rohmaniah, Siti Masnikafah, Mohammad Syaiful Pradana","doi":"10.52166/ujmc.v7i2.2768","DOIUrl":"https://doi.org/10.52166/ujmc.v7i2.2768","url":null,"abstract":"Antrian di Puskesmas merupakan proses menunggu pasien untuk mendapat pelayanan. Fenomena antrian yang panjang dan lama terjadi pada Puskesmas Turi Kabupaten Lamongan terlebih pada saat kondisi yang ramai.Tujuan penelitian ini untuk mengetahui jumlah pelayan optimum Puskesmas Turi dalam kondisi ramai pasien. Penentuan jumlah pelayan berdasarkan tingkat kedatangan yang terwakilkan dengan Distribusi Poisson, sedangkan waktu pelayanan diwakili oleh Distribusi Erlang. Pada penelitian ini terdapat tiga fase pelayanan yaitu pendaftaran, pelayanan dokter, dan pelayanan apotek. Dalam penentuan jumlah pelayan optimal melihat dari nilai ultilitas. Hasil penelitian pada kondisi ramai pasien di Puskesmas Turi terjadi pada hari Senin dengan laju kedatangan 4 pasien per menit dan laju pelayanan selama 10 menit per pasien. Rata-rata waktu menunggu dalam antrian sebesar 0,035 menit, rata-rata waktu menunggu dalam sistem selama 0,04 menit dan rata-rata banyaknya  pasien dalam antrian maupun sistem tidak ada pasien per menitnya. Nilai ultilitas yang diperoleh sebesar 0,4, sehingga jumlah pelayan pada saat kondisi ramai pasien sudah sesuai sebanyak satu pelayan.","PeriodicalId":262941,"journal":{"name":"Unisda Journal of Mathematics and Computer Science (UJMC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129246304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spasial Data Panel Dalam Menentukan Faktor-Faktor Yang Berpengaruh Terhadap Jumlah Kasus Demam Berdarah Dengue (DBD)","authors":"A. Nabila, Rahmadi Yotenka","doi":"10.52166/ujmc.v7i2.2845","DOIUrl":"https://doi.org/10.52166/ujmc.v7i2.2845","url":null,"abstract":"Dengue Fever (DF) is an infection caused by the dengue virus, which several types of mosquitoes can spread. Indonesia has become a dengue-endemic area since 1968 and has spread in 34 provinces with 416 districts and 98 cities. In 2015 there were 126,675 cases of dengue fever in Indonesia, an increase in 2016 to 200,830 cases; the following year, it decreased to 59,047 cases. Then the cases have fluctuated every year. This study aims to look at the factors that influence dengue cases in Indonesia, especially on the islands of Java and Bali. This is because during the last five years (2015 – 2019) the highest dengue cases in Java & Bali were in Indonesia. The method used in this research is spatial analysis of panel data with the best model of SAR (spatial autoregressive models). The results of this study are the percentage of districts/cities that implement policies for healthy areas, the percentage of poor people, and health facilities have a significant effect on the number of dengue cases in Java & Bali.","PeriodicalId":262941,"journal":{"name":"Unisda Journal of Mathematics and Computer Science (UJMC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130845310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimalisasi Jadwal Kegiatan Belajar Mengajar di MI NW I Talun Selama Pandemi Covid-19","authors":"Bulqis Nebulla Syechah","doi":"10.52166/ujmc.v7i2.2714","DOIUrl":"https://doi.org/10.52166/ujmc.v7i2.2714","url":null,"abstract":"The Covid-19 pandemic has impacted many areas of life, including education in Indonesia. After the Indonesian government implemented a lockdown in a few months, now we are in a new normal era where everyone can do any activity based on the covid-19 protocol. In the new normal era, students and teachers are allowed to do teaching and learning activities with an offline system based on the Covid-19 protocol, this makes the schedule ineffective, such as in MI NW 1 Talun. At this school, each class has a schedule to do learning activities three times a week. Based on this, in this study, the authors will offer a schedule formulated based on variables of teachers, students, classes, classrooms, days and times, and covid-19 protocols. This research method is a genetic algorithm that is a method of optimization based on natural selection. The results of this study show that the new schedule is more effective than before and every student or teacher can do teaching and learning activities to the maximum and avoid covid-19.","PeriodicalId":262941,"journal":{"name":"Unisda Journal of Mathematics and Computer Science (UJMC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131821140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Penerapan Double Exponential Smoothing Holt dan ARIMA pada Jumlah Kebutuhan Gabah UD Lancar","authors":"Ericha Dwi Ayu Prihastini, N. Chandra, Awawin Mustana Rohmah","doi":"10.52166/ujmc.v7i2.2761","DOIUrl":"https://doi.org/10.52166/ujmc.v7i2.2761","url":null,"abstract":"Abstract. Since come the rice thresher (combi) machine effective than the manual process, the rice milling industries such us UD Lancar,  only receiving the grain which produced from it so the supplay of rice is decreasing so resulting in the risk of loss for themselves. The forecasting activity in here used for to assist UD Lancar  in estimating the demand for rice in the next period, so can anticipate looking for other grain supplier for to fulfill the demand of market. The data will be analyzed using the Double Exponential Smoothing Holt and ARIMA method. The result of the data processing is show the Double exponential smoothing holt method has MSE error value of 413.445.841,75,while in the ARIMA (2,1,1) method has MSE value was 64.826.353,94404. The Arima (2,1,1) method is better than the double exponential smoothing Holt method because it has a smaller MSE value, so it can be used in the forecasting. \u0000  \u0000Keywords: Forecasting, Double Exponential Smoothing Holt, ARIMA. \u0000  \u0000Abstrak. Sejak adanya mesin perontok padi (combi) yang memiliki tingkat efektifitas lebih baik dibandingkan proses manual,  para pemilik industri penggilingan padi seperti UD Lancar kini hanya menerima gabah hasil proses mesin combi yang mengakibatkan persediaan beras mengalami penurunan sehingga dapat mengakibatkan permintaan konsumen tidak terpenuhi dan berujung pada resiko kerugian. Kegiatan peramalan ini bertujuan untuk memperkirakan permintaan beras UD Lancar pada periode selanjutnya, sehingga UD Lancar dapat mengantisipasi dengan cara mencari pemasok gabah lain untuk memenuhi permintaan pasar. Analisis data menggunakan metode Double Exponential Smoothing Holt dan ARIMA. Berdasarkan hasil analisis, pada metode Double Exponential Smoothing Holt memiliki nilai kesalahan MSE sebesar 413.445.841,75, sedangkan metode ARIMA (2,1,1) memiliki nilai kesalahan MSE sebesar 64.826.353,94404. Metode ARIMA (2,1,1) memiliki nilai kesalahan MSE lebih kecil dibandingkan metode Double Exponential Smoothing Holt, sehingga dapat digunakan dalam proses peramalan. \u0000  \u0000Kata Kunci: Peramalan, Double Exponential Smoothing Holt, ARIMA.","PeriodicalId":262941,"journal":{"name":"Unisda Journal of Mathematics and Computer Science (UJMC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129085351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sebuah Karakteristik dari Modul Uniserial dan Gelanggang Uniserial","authors":"I. W. Wardhana, Fariz Maulana","doi":"10.52166/ujmc.v7i2.2674","DOIUrl":"https://doi.org/10.52166/ujmc.v7i2.2674","url":null,"abstract":"The module is a generalization of the vector space. The module that will be discussed is a uniserial module, which is a module that only has one composition series. A uniserial ring is a ring whose module over itself is uniserial. The uniserial ring is an Artin and local ring, but the converse is not necessarily true. In this paper, we will discuss Artin and local ring with additional properties so that it is characteristics of the uniserial ring.","PeriodicalId":262941,"journal":{"name":"Unisda Journal of Mathematics and Computer Science (UJMC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116174408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pemodelan Kasus Pasien Terkonfirmasi Positif Covid-19 Per-Hari Di Indonesia dengan Metode SARIMA","authors":"Wigid Hariadi, Sulantari Sulantari","doi":"10.52166/ujmc.v7i2.2743","DOIUrl":"https://doi.org/10.52166/ujmc.v7i2.2743","url":null,"abstract":"Abstract. The Seasonal Autoregressive Integrated Moving Average (SARIMA) model is a popular method for forecasting univariate time series data for data containing seasonality. This method consists of several stages, namely: identification, parameter assessment, diagnostic examination, and forecasting using the SARIMA (p,d,q)(P,D,Q)S model. The SARIMA model can be applied in various fields, one of which is the medical field. The number of patients infected with the CoVID-19 virus continues to grow every day. Indonesia is one of the countries experiencing the impact of the COVID-19 virus. On December 28, 2021, the number of positive Covid-19 patients in Indonesia was 4,262,157, with 4,113,472 patients recovering and 144,071 patients dying. Seeing the high number of positive cases of Covid-19 in Indonesia, the author wants to conduct research on modeling cases of patients who are confirmed to be positive for Covid-19 per day in Indonesia and then from this model, data forecasting will be carried out for the next 28 periods. The data collection period is from November 1, 2021 to December 28, 2021. And the results of a good model for predicting cases of confirmed positive COVID-19 patients per day in Indonesia are the SARIMA (2,1,2)(2,1,1)7 model, with The seasonal length is 7 periods, and the sum squared resid is 0.927619. \u0000  \u0000Abstrak. Model Seasonal Autoregressive Integrated Moving Average (SARIMA) adalah metode populer untuk meramalkan data deret waktu univariat untuk data yang mengadung musiman. Metode ini terdiri dari beberapa tahapan, yaitu: identifikasi, penilaian parameter, pemeriksaan diagnostik, dan peramalan menggunakan model SARIMA (p,d,q)(P,D,Q)S. Model SARIMA dapat diterapkan di berbagai bidang, salah satunya bidang medis. Jumlah pasien yang terinfeksi virus CoVID-19 terus bertambah setiap harinya. Negara Indonesia  merupakan salah satu Negara yang mengalami dampak virus covid-19. pada 28 Desember 2021, jumlah pasien positif Covid-19 di Indonesia sebanyak 4.262.157 pasien, dengan 4.113.472 pasien sembuh dan 144.071 pasien meninggal dunia. Melihat tingginya kasus positif Covid-19 di Indonesia, maka penulis ingin melakukan penelitian tentang pemodelan kasus pasien terkonfirmasi positif covid-19 perhari di Indonesia untuk kemudian dari model tersebut akan dilakuakn peramalan data untuk 28 periode kedepan. Periode pendataan dari tanggal 1 November 2021 sampai dengan 28 Desember 2021. Dan hasil model yang baik untuk memprediksi kasus pasien terkonfirmasi positif covid-19 perhari di Indonesia adalah model SARIMA (2,1,2)(2,1,1)7, dengan panjang musiman nya 7 periode, dan nilai sum squared resid sebesar 0.927619.","PeriodicalId":262941,"journal":{"name":"Unisda Journal of Mathematics and Computer Science (UJMC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115669355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisis Efektivitas Pembelajaran Daring Dengan Pendekatan Kontekstual Terhadap Kemampuan Pemecahan Masalah Matematis","authors":"Siti Nur Millah, Ali Shodikin","doi":"10.52166/UJMC.V7I1.2184","DOIUrl":"https://doi.org/10.52166/UJMC.V7I1.2184","url":null,"abstract":"Abstract. Online learning is a technology learning model to complement face-to-face (direct) learning. It is hoped that students can still understand what the teacher says even though it is through online media. Learning challenges are a challenge for teachers so that the material can be conveyed properly, especially in the ability of students' mathematical problems. Mathematical problem skills are very useful for students, not only in solving math problems but also solving problems in everyday life. Problem ability is not something that is easily found by students so that students must train to develop this ability. For the ability to develop this, the learning process and strategy that is applied must be able to help understand the problem, plan for problem solving, find solutions and be able to conclude from solving the problem. One learning approach that can make students active in learning is the contextual approach. This experimental research aims to see the effectiveness of bold learning with a contextual approach to students' mathematical problem abilities. This study used a posttest only control group design. The population of this study were all students of class VIII MTs. Son and Daughter of Simo in the 2020/2021 school year. Through probability sampling techniques, classes VIII D and VIII G were selected as research samples. The research data were obtained from the mathematical problem ability test. The results showed that the most effective level in dealing with mathematical problems of students with a bold learning model with a contextual approach strategy was better than conventional learning. \u0000  \u0000Keywords: Mathematical problem solving abilities, contextual approach, online learning. \u0000  \u0000Abstrak. Pembelajaran daring atau online adalah salah satu model pembelajaran berteknologi untuk melengkapi pembelajaran tatap muka (langsung). Diharapkan siswa masih bisa memahami apa yang disampaikan oleh guru walaupun melalui media online. Pembelajaran daring menjadi tantangan tersendiri bagi guru agar materi bisa tersampaikan dengan baik utamanya dalam kemampuan pemecahan masalah matematis siswa. Kemampuan pemecahan masalah matematis sangat berguna bagi siswa, tidak hanya dalam memecahkan masalah matematika tapi juga memecahkan masalah dalam kehidupan sehari-hari. Kemampuan pemecahan masalah bukan merupakan suatu hal yang mudah didapati oleh siswa sehingga siswa harus melatih untuk mengembangkan kemampuan tersebut. Untuk mengembangkan kemampuan tersebut, maka proses dan strategi pembelajaran yang diterapkan haruslah dapat membantu siswa memahami masalah, merencanakan penyelesaian masalah, menemukan solusi dan dapat menarik kesimpulan dari penyelesaian masalah tersebut. Salah satu pendekatan pembelajaran yang dapat membuat siswa aktif dalam pembelajaran adalah pendekatan kontekstual. Penelitian eksperimen ini bertujuan untuk mengetahui efektivitas pembelajaran daring dengan pendekatan kontekstual terhadap kemampuan pemecahan masalah matematis si","PeriodicalId":262941,"journal":{"name":"Unisda Journal of Mathematics and Computer Science (UJMC)","volume":"419 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133355974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Faktor-Faktor Yang Mempengaruhi Nilai Konstruksi Di Indonesia Dengan Regresi Poisson dan Regresi Binomial Negatif","authors":"Rahmadi Yotenka","doi":"10.52166/UJMC.V7I1.2451","DOIUrl":"https://doi.org/10.52166/UJMC.V7I1.2451","url":null,"abstract":"Abstract. The construction sector is one of the drivers of national economic growth, contributing 10.6% to the National GDP. The capitalization value of the construction sector continues to increase from year to year due to an increase in the industrial sector in the private sector and infrastructure acceleration programs launched by the government in several provinces. However, this has led to a lack of equitable distribution of infrastructure development in several other provinces. To help the government carry out equitable infrastructure development, which can then help the national economy, an analysis is needed to find out what factors affect the construction value of each province in Indonesia. The relationship between the value of the construction and the factors that influence it can be determined by regression analysis. The regression analysis method used in this study is Poisson regression and negative binomial regression. Negative binomial regression is performed specifically to overcome overdispersion in Poisson regression. After the analysis, the results of the factors that have a statistical influence on the value of construction in Indonesia (NK) are the number of workers in each province (JTK) and the number of construction companies in each province (JP) with a pseudo R2 value of 0.978 or 97.8%. \u0000  \u0000 ","PeriodicalId":262941,"journal":{"name":"Unisda Journal of Mathematics and Computer Science (UJMC)","volume":"139 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128861346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Penerapan Pembelajaran Van Hiele untuk Mendukung Pemecahan Masalah Geometri","authors":"Aini Masikhah, Wilda Mahmudah, Junaidah Wildani","doi":"10.52166/ujmc.v7i1.2447","DOIUrl":"https://doi.org/10.52166/ujmc.v7i1.2447","url":null,"abstract":"Latar belakang penelitian adalah rendahnya kemampuan siswa dalam memecahkan masalah geometri. Penyebab dari rendahnya kemampuan tersebut adalah kurangnya pemahaman konsep dan keterampilan geometri siswa. Sehingga diperlukan kreativitas guru dalam proses belajar mengajar yang lebih menekankan pada kemampuan siswa dalam pemecahan masalah materi geometri. Model pembelajaran Van Hiele merupakan model yang disesuaikan dengan tahapan berpikir siswa, sehingga tepat diterapkan dalam pembelajaran geometri. Tujuan dari penelitian ini adalah untuk mengetahui keterlaksanaan pembelajaran, respon dan hasil belajar siswa dengan menggunakan pembelajaran Van Hiele dalam rangka mendukung kemampuan pemecahan masalah geometri. Penelitian ini menggunakan jenis penelitian kuantitatif dengan desain penelitian “one shot case study”. Instrument yang digunakan dalam penelitian adalah RPP, lembar observasi, angket respon siswa, dan soal tes pemecahan masalah. Populasi penelitian adalah siswa kelas VIII SMP NU Miftahul Huda Karangrejo dengan sample kelas VIII B. Data yang dianalisis yaitu data lembar keterlaksanaan pembelajaran, angket respon siswa, hasil belajar siswa dan hasil tes pemecahan masalah. Dari analisis data diperoleh bahwa hasil keterlaksanaan pembelajaran Van Hiele terlaksana dengan baik. Respon siswa pada pembelajaran Van Hiele menunjukkan positif. Hasil belajar siswa kelas VIII B SMP NU Karangrejo juga menunjukkan baik. Dan hasil keefektifan menunjukkan bahwa pembelajaran Van Hiele mampu mendukung pemecahan masalah geometri. \u0000 ","PeriodicalId":262941,"journal":{"name":"Unisda Journal of Mathematics and Computer Science (UJMC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132155376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pemodelan Regresi Cox Proportional Hazard Pada Data Perceraian","authors":"Haykal Abidin, N. Chandra, Mohammad Syaiful Pradana","doi":"10.52166/ujmc.v6i2.2393","DOIUrl":"https://doi.org/10.52166/ujmc.v6i2.2393","url":null,"abstract":"The purpose of this research is modeling the Cox proportional hazard regression form on divorce data in Pelaihari sub-district, Tanah Laut district, South Kalimantan province. The source of the data comes from the Court Decision in Pelaihari District, Tanah Laut Regency, South Kalimantan. The data analysis technique uses software R with the steps, namely data description, Log-Rank test, checking proportional hazard assumptions, Cox regression model parameter estimation, backward selection with AIC, the best model parameter significance test, calculating Hazard ratio and interpretation of each predictor variable. Based on the results of the analysis and discussion, it was found that for the Log-Rank test, the variable survival time for domestic violence, forced marriage, lying and stories of disgrace differed significantly. While the model that meets the criteria after iteration up to 15 times is the 15th model with the smallest AIC value and p-value <0.05 with factors that significantly influence divorce in Pelaihari sub-district based on modeling results using Cox proportional Hazard regression. are the variables of cheating, gambling, domestic violence, forced marriage, lies, jealousy and disgrace story variables","PeriodicalId":262941,"journal":{"name":"Unisda Journal of Mathematics and Computer Science (UJMC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116786846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}