Jurnal VarianPub Date : 2019-10-30DOI: 10.30812/varian.v3i1.476
Gilang Primajati, A. Amrullah, Ahmad Ahmad
{"title":"Analisis Portofolio Investasi dengan Metode Multi Objektif","authors":"Gilang Primajati, A. Amrullah, Ahmad Ahmad","doi":"10.30812/varian.v3i1.476","DOIUrl":"https://doi.org/10.30812/varian.v3i1.476","url":null,"abstract":"In the formation of an efficient portfolio, many methods can be used. Of course with its own assumptions and advantages. In the process, reasonable investor assumptions tend to be risk averse. Investors who are risk averse are investors who, when faced with two investments with the same expected return, will choose an investment with a lower risk level. If an investor has several efficient portfolio choices, then the most optimal portfolio will be chosen. Optimal portfolio with mean-variance efficient portfolio criteria, investors only invest in risky assets. Investors do not include risk free assets in their portfolios. Mean-variance efficient portfolio is defined as a portfolio that has a minimum variance among all possible portfolio that can be formed, at the mean level of the same expected return. The mean variant method of the two constraints can be used as a basis in determining the optimal portfolio weight by minimizing the risk of portfolio return with two constraints. In this article the problem referred to is symbolized by lamda and beta. With this two-constraint method, the results obtained are more detailed so that they can describe the results of a sharper analysis for an investor.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129437992","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}
Jurnal VarianPub Date : 2019-10-30DOI: 10.30812/varian.v3i1.488
Muhammad Ammar
{"title":"Implementasi Algoritma Sequential dan Welch Powell pada pewarnaan graf (studi kasus pewarnaan peta kota Makassar)","authors":"Muhammad Ammar","doi":"10.30812/varian.v3i1.488","DOIUrl":"https://doi.org/10.30812/varian.v3i1.488","url":null,"abstract":"The aim of this research is how to implement Sequential algorithm and Welch Powell algorithm on graph coloring, especially on Makassar city map coloring. The research method used was a case study aimed at searching information in the form of a map of Makassar city. The first step is to take a colored map of Makassar city at the Dinas tata ruang kota makassar, then redraw it with the help of Corel Draw X7 software, so there are no colors. The next step is to represent the map in graph form by taking the region (sub-district) as a node and then doing graph coloring using Sequential algorithm and Welch Powell algorithm. The results of coloring the Makassar city map using Sequential algorithm and Welch Powell algorithm, both produce chromatic numbers χ (G) = 4 or the number of colors produced to color a graph there are 4 colors. The colors used are red, yellow, green and blue. Then from the results of coloring this graph can easily be applied to color the map of the city of Makassar based on the coloring requirements obtained. Because it has the same chromatic numbers, it can be concluded that the Sequential algorithm is no better than the Welch Powell algorithm, or vice versa the Welch Powell algorithm is no better than the Sequential algorithm for the case of coloring the Makassar city map. The previous Makassar city map coloring or without the algorithm, produces chromatic numbers χ (G) = 12 or the number of colors produced to color a graph there are 12 colors. So that the two algorithms are much better at coloring than the previous Makassar city map coloring or without the algorithm \u0000 ","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128709154","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}
Jurnal VarianPub Date : 2019-10-30DOI: 10.30812/varian.v3i1.487
Doni Dwiranata, Dewi Pramita, Syaharuddin Syaharuddin
{"title":"Pengembangan Media Pembelajaran Matematika Interaktif Berbasis Android Pada Materi Dimensi Tiga Kelas X SMA","authors":"Doni Dwiranata, Dewi Pramita, Syaharuddin Syaharuddin","doi":"10.30812/varian.v3i1.487","DOIUrl":"https://doi.org/10.30812/varian.v3i1.487","url":null,"abstract":"Abstract: This study aims to develop and produce android-based mathematics learning media on the subject of three dimensions of point, line, and field positions in space, for class X high school students and find out the validity, effectiveness, and practicality of interactive multimedia-based learning media. This type of research is a research development in the form of a three dimensional interactive learning media. Media development refers to the ADDIE development model which includes 5 stages, namely Analysis, Design, Development, Implementation, Evaluation. The subjects of this study were students of class X IPA and students of class X IPS SMA Negeri 1 Maronge. The instruments used in this study were questionnaire validation of material experts and media experts, student questionnaire responses, and student evaluation tests. The results of the development research are: (1) The results of the validation of the material and the media obtain an average score of 36 with the category \"quite valid\"; (2) The results of the effectiveness of the media in small group trials have achieved 100% mastery learning in the \"very effective\" category; (3) The results of the practicality of the media in small group trials obtained an average score of 57 in the \"very practical\" category; (4) The results of the effectiveness of the media in large group trials gained mastery learning reaching 80% with the category of \"effective\"; and (5) The practicality of the media in the large group test obtained an average of 54,485 in the \"practical\" category.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126373793","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}
Jurnal VarianPub Date : 2019-10-30DOI: 10.30812/varian.v3i1.506
Ni Putu Nanik Hendayanti, I. Suniantara, M. Nurhidayati
{"title":"Penerapan Support Vector Regression (Svr) Dalam Memprediksi Jumlah Kunjungan Wisatawan Domestik Ke Bali","authors":"Ni Putu Nanik Hendayanti, I. Suniantara, M. Nurhidayati","doi":"10.30812/varian.v3i1.506","DOIUrl":"https://doi.org/10.30812/varian.v3i1.506","url":null,"abstract":"Bali is one of the most popular tourism sectors in Indonesia. In the arena of international tourism, the island of Bali is considered as the most famous national destination compared to other destinations. The high level of domestic tourism visits to Bali annually must be strictly noted especially for local governments and Bali provincial tourism agencies in optimizing facilities, infrastructure to the safety of tourists Visit. Therefore, it takes a method that can predict the number of tourists visiting Bali annually. One method used to predict the number of tourists visiting Bali is Support Vector Regression (SVR). SVR is a method to estimate a mapped function from an input object to a real amount based on the training data. SVR has the same properties about maximizing margins and kernel tricks for mapping nonlinear data. Results of this research. Based on forecasting using MAPE value training data obtained by 11.34% while use data testing of MAPE value obtained by 7.30%. Based on the resulting MAPE value can be categorized well for the number of tourism visitors.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130004233","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}
Jurnal VarianPub Date : 2019-10-30DOI: 10.30812/varian.v3i1.485
A. Hidayat
{"title":"Analisa Struktur Dependensi Variabe Pembentukan Asuransi Pertanian Berbasis Indeks Cuaca dengan Multivariat Copula dan Vine Copula","authors":"A. Hidayat","doi":"10.30812/varian.v3i1.485","DOIUrl":"https://doi.org/10.30812/varian.v3i1.485","url":null,"abstract":"The purpose of this study is to analyze the structure of the dependency on variables for calculation of insurance based on weather indices such as crop prices, yields, and rainfall. The object of research observation was secondary data on the sub-district of Dlingo Bantul District. In analyzing the dependency of variables that can be used in agricultural insurance calculations, it can be seen that both using multivariate copula and vine copula have the same results. A multivariate copula that directly looks at dependency relationships between three variables. Whereas copula vine can see the size values of the variable pair dependency for each edge in the copula vine tree. In more detail the best dependency for the grain price and rainfall variable is Copula Joe with the parameter θ = 1.76. correlation τ = 0.3. The best dependency between rainfall and yield is Frank Copula with parameters θ = 4.98 and correlation τ = 0.46. The best dependency between rainfall and yield is Frank copula with parameters θ = 2.42 and correlation τ = 0.25.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129102890","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}
Jurnal VarianPub Date : 2019-10-30DOI: 10.30812/varian.v3i1.436
S. Suryati, M. Syukri
{"title":"Analisis Faktor-Faktor yang Mempengaruhi Tingkat Kemiskinan Kabupaten dan Kota Provinsi Sulawesi Selatan","authors":"S. Suryati, M. Syukri","doi":"10.30812/varian.v3i1.436","DOIUrl":"https://doi.org/10.30812/varian.v3i1.436","url":null,"abstract":"The purpose of this study is to analyze the factors that influence the poverty rates in the Regencies and Cities of South Sulawesi Province. This type of research is applied research with secondary quantitative data. The data used in this study are secondary data obtained by the Central Statistics Agency (BPS) including population data; PDRB per capita; AMH, AHH, and the poverty rates of Regencies and Cities in South Sulawesi in 2019. Based on the results of the study it can be concluded that the population, per capita GRDP, AMH and AHH simultaneously affect the poverty rates of Regencies and Cities in South Sulawesi. Whereas, partially per capita GRDP variable and AMH variable significantly influence the poverty rates of Regencies and Cities in South Sulawesi. With the coefficient of determination each variable has a contribution to the poverty rate of 57.7% and the remaining 42.3% is influenced by other indicators not yet examined. The suggestions for the improvement and development of subsequent research is by adding other variables that can affect poverty rates. With the hope that there will be efforts from all parties, especially the local government, to present superior programs, for example the UMKM development program that can reduce poverty and have an impact on people's welfare.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127419299","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}
Jurnal VarianPub Date : 2019-04-30DOI: 10.30812/VARIAN.V2I2.385
Muhamad Irwan, Irwan Irwan, Jusrawati Jusrawati
{"title":"Model Matematika Penyakti Diabetes Melitus","authors":"Muhamad Irwan, Irwan Irwan, Jusrawati Jusrawati","doi":"10.30812/VARIAN.V2I2.385","DOIUrl":"https://doi.org/10.30812/VARIAN.V2I2.385","url":null,"abstract":"Diabetes mellitus (DM) or often known as diabetes mellitus, is a disease that can be caused by heredity, one of the factors caused by patterns of human life patterns. In the paper a model and mathematical analysis of DM disease are introduced. To simplify the analysis, the Runge Kutta method was used to complete the model. Based on the results of the analysis, it is known that the population of patients with DM disease tends to increase for a long period of time.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126922500","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}
Jurnal VarianPub Date : 2019-04-30DOI: 10.30812/VARIAN.V2I2.361
Gede Suwardika, I. Suniantara, Ni Putu Nanik Hendayanti
{"title":"Ketidaktepatan Waktu Kelulusan Mahasiswa Universitas Terbuka dengan Metode Boosting Cart","authors":"Gede Suwardika, I. Suniantara, Ni Putu Nanik Hendayanti","doi":"10.30812/VARIAN.V2I2.361","DOIUrl":"https://doi.org/10.30812/VARIAN.V2I2.361","url":null,"abstract":"The classification tree method or better known as Classification and Regression Tree (CART) has capabilities in various data conditions, but CART is less stable in changing learning data which will cause major changes in the results of the classification tree prediction. Predictive accuracy of an unstable classifier can be corrected by a combination method of many single classifiers where the prediction results of each classifier are combined into the final prediction through the majority voting process for classification or average voting for regression cases. Boosting ensemble method is one method that combines many classification trees to improve stability and determine classification predictions. This research purpose to improve the stability and predictive accuracy of CART with boosting. The case used in this study is the classification of inaccuracies in the Open University student graduation. The results of the analysis show that boosting is able to improve the accuracy of the classification of the inaccuracy of student graduation which reaches a classification prediction of 75.94% which previously reached 65.41% in the classification tree.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"08 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132925906","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}
Jurnal VarianPub Date : 2019-04-30DOI: 10.30812/VARIAN.V2I2.373
D. Didiharyono, Muhamad Irwan
{"title":"Analisis Kestabilan dan Usaha Pemanenan Model Predator Prey Tipe Holling III dengan Keuntungan Maksimum","authors":"D. Didiharyono, Muhamad Irwan","doi":"10.30812/VARIAN.V2I2.373","DOIUrl":"https://doi.org/10.30812/VARIAN.V2I2.373","url":null,"abstract":"In this paper discussed Stability Analysis and Harvesting Effort at second Predator Prey Populations model Holling Type III with Maximum Profit. The step this research is to determine the equilibrium point, linearize the model, stability analysis of the equilibrium point, and numerical simulation. Result shows that obtained an interior point T that asymptotic stable based on Hurwitz stability test then obtained maximum profit from exploitation harvesting effort of second predator prey populations. This second populations will always exist, even though exploited with harvesting effort done by humans. Harvesting effort of second predator-prey populations given maximum profit that occur on critical points of surface profit function","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125007273","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}
Jurnal VarianPub Date : 2019-04-30DOI: 10.30812/VARIAN.V2I2.363
Arya Fendha Ibnu Shina
{"title":"Pemodelan Kemisikinan di Indonesia dengan Generalized Method Momment Arellano dan Bond","authors":"Arya Fendha Ibnu Shina","doi":"10.30812/VARIAN.V2I2.363","DOIUrl":"https://doi.org/10.30812/VARIAN.V2I2.363","url":null,"abstract":"Poverty is one of the important indicators to see the success of a country's development. Every country will try optimally to reduce poverty. On the other hand poverty is one of the economic variables that is dynamic, meaning that the value of a variable is influenced by the value of other variables and also the value of the variables concerned in the past. The purpose of this study was to analyze the effect of lag from poverty indicators, GDP, Gini Index, HDI, and on poverty levels. Based on the results of the study concluded that the lag coefficients of poverty and HDI indicators significantly influence the poverty of provinces in Indonesia. In addition, if there is an increase in HDI of 1% then in the short term it will cause a decrease in poverty of 1.747% and in the long term of 2.085","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128177512","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}