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<![CDATA[District/City Grouping Based On Factors Affecting The Level Poverty In North Sumatera With Using Cluster Analysis ]]>
<![CDATA[Fadhillah, Nurul]]>;
<![CDATA[Rakhmawati, Fibri]]>;
<![CDATA[Widyasar, Rina]]>;
<![CDATA[Husein, Ismail]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 3, No 2 (2019): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v3i2.7912
<![CDATA[Poverty is a person's inability to fulfill the aspects of life. To overcome the problem of poverty, there are some factors which affect the poverty levels that need to be considered. The factors that influence the poverty levels are economic growth, unemployment, and education. Poverty in each region has different characteristics, and therefore it is necessary to group the regions so that the solutions can be implemented in accordance with each of the characteristics of the region. The purpose of this study is to cluster districts/cities in North Sumatra in accordance with the factors that affect poverty levels in each region using cluster analysis based on the centroid linkage method. Cluster analysis is a grouping into clusters so that objects in a cluster are more similar to each other than the objects in other clusters. From the clustering result of cluster analysis by using the centroid linkage method shows that there are four groups of districts/cities which are incorporated based on each factor that affects poverty levels, namely, economic growth, unemployment, and education.]]>
<![CDATA[Analysis of Efficiency of Least Trimmed Square and Least Median Square Methods in The Estimation of Robust Regression Parameters ]]>
<![CDATA[Abdi, Hamdan]]>;
<![CDATA[Dur, Sajaratud]]>;
<![CDATA[Widyasar, Rina]]>;
<![CDATA[Husein, Ismail]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 1 (2020): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v4i1.7933
<![CDATA[Robust regression is a regression method used when the remainder's distribution is not reasonable, or there is an outreach to observational data that affects the model. One method for estimating regression parameters is the Least Squares Method (MKT). The method is easily affected by the presence of outliers. Therefore we need an alternative method that is robust to the presence of outliers, namely robust regression. Methods for estimating robust regression parameters include Least Trimmed Square (LTS) and Least Median Square (LMS). These methods are estimators with high breakdown points for outlier observational data and have more efficient algorithms than other estimation methods. This study aims to compare the regression models formed from the LTS and LMS methods, determine the efficiency of the model formed, and determine the factors that influence the production of community oil palm in Langkat District in 2018. The results showed that in testing, the estimated model of the regression parameters showed the same results. Compared to the efficiency estimator and the error square value, it was concluded that the LTS method was more efficient. Variable land area and productivity influence the production of palm oil smallholders in Langkat District in 2018. as well as the comparison of the efficiency estimator and the error square value, it was concluded that the LTS method was more efficient. Variable land area and productivity are factors that influence the production of palm oil smallholders in Langkat District in 2018. as well as the comparison of the efficiency estimator and the error square value, it was concluded that the LTS method was more efficient. Variable land area and productivity are factors that influence the production of palm oil smallholders in Langkat District in 2018]]>
<![CDATA[Selection of online shopping with the electree method ]]>
<![CDATA[Panjaitan, Dedy Juliandri]]>;
<![CDATA[Aprilia, Rima]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 2 (2020): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v4i2.8990
<![CDATA[E-Commerce stands for Electronic Commerce which means a marketing system by means of electronic media. E-Commerce is defined as the process of buying and selling of products, services and information that is done electronically using a computer network. One form of e-commerce is online shopping. The purpose of this study is to determine the best online shopping based on predetermined criteria. The criteria used in E-Commerce are the price of goods, completeness of goods, shipping costs, quality of goods, and length of delivery time. The Electre method is a multi-criteria decision-making method based on the concept of outranking using pairwise comparisons of alternatives based on each appropriate criterion. Based on the analysis using the Electric method, it is recommended that the best online shopping is TOKOPEDIA which dominates other alternatives.]]>
<![CDATA[Application of K-Means Clustering Method for City Grouping on Food Plant Productivity in North Sumatera ]]>
<![CDATA[Junita Fadilah]]>;
<![CDATA[Ismail Husein]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 3, No 2 (2019): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v3i2.7913
<![CDATA[The development of population increases every year, causing food needs to expand to meet food needs by increasing food crop productivity so that food availability can be sufficient. Food crops consist of rice, corn, green beans, peanuts, cassava, and sweet potatoes. Productivity in each region has different characteristics, and therefore it is necessary to group the areas so that solution can be implemented by each of the components of the region. The purpose of this study is to group districts/cities in North Sumatera Province based on food crop productivity using the k-means clustering method. Clustering k-means is a method of grouping non-hierarchical data that attempts to partition existing data into one or more clusters or groups so that data that has the same characteristics are grouped into one same characteristic are grouped into other groups. The result of this study is the formation of 3 city district clusters, namely, cluster 1 amounting to 1 regency/city, cluster 2 totaling seven districts/cities, and cluster 3 totaling 25 districts/cities.]]>
<![CDATA[Cluster Analysis Using the Hierarki Method For Grouping Sub-Districts in The District Steps Based on Health Indicators ]]>
<![CDATA[Khairun Nisa]]>;
<![CDATA[Rina Filia Sari]]>;
<![CDATA[Hendra Cipta]]>;
<![CDATA[Ismail Husein]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 1 (2020): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v4i1.7934
<![CDATA[Cluster analysis is a method used to group objects based on similarity of characteristics they have. Cluster analysis using the hierarchy method is a method with a grouping process that is used in stages. Health is a condition where a person is not sick, has no complaints, and can carry out daily activities. To find out information about the level of health in Langkat Regency, it is necessary to use the grouping method. The grouping was carried out in 23 districts in Langkat Regency. The purpose of this study is to classify sub-districts in Langkat Regency which have similar characteristics based on health indicators through the square euclidian distance is used to measure the similarity between object pairs and the ward method. From the results of cluster analysis using the ward method.]]>
<![CDATA[Similarity of Competitive Merchant Behavior Using the Jaccard Coefficient ]]>
<![CDATA[Elveny, Marischa]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 2 (2020): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v4i2.8991
<![CDATA[Advanced installment innovation has brought a business pattern that makes it simpler to see income conditions or what is known as a productive contrast. Different new ways are utilized to make progress, one of which is with an electronic-based business, yet with a particularly number of varieties, vulnerability in business is likewise progressively hard to foresee. Particularly foreseeing in the following not many years what exercises will regularly happen. Forecast itself is an interaction of efficiently assessing something that is well on the way to occur later on dependent on at various times data. To stay aware of the advancement of the organization, it is important to enhance the measurements for the business. Similarity involves the process of characterizing each object or describing in detail the features of the object. A way to measure similarity by characterizing each object so as to produce a similarity in behavior. used the jaccard method in finding similarities.]]>
<![CDATA[Data Analysis Time Series For Forecasting The Greenhouse Effect ]]>
<![CDATA[Umami, Fauzah]]>;
<![CDATA[Cipta, Hendra]]>;
<![CDATA[Husein, Ismail]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 3, No 2 (2019): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v3i2.7914
<![CDATA[The greenhouse effect is a term used to describe the earth having a greenhouse effect where the sun's heat is trapped by the earth's atmosphere. This study aims to model the greenhouse effect and then predict the greenhouse effect in the coming period using the Autoregressive Integrated Moving Average (ARIMA) method. In this case, time series analysis and reference data for 31 months are used, from the period January 2017 - July 2019, the results of the ARIMA model that are suitable for forecasting the greenhouse effect are ARIMA (4.2.0) with Mean Square Error (MSE) of 161885]]>
<![CDATA[Using of EOQ and EPQ Methods in Minimizing Inventory Cost of Crude Palm Oil ]]>
<![CDATA[Sari, Linda Kumala]]>;
<![CDATA[Dur, Sajaratud]]>;
<![CDATA[Husein, Ismail]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 1 (2020): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v4i1.7935
<![CDATA[Excess or lack of inventory that is too large is a problem that can trigger increased costs so that companies do not get the benefits they should. The purpose of this study is to minimize the cost of inventories of crude palm oil using the EOQ (Economic Order Quantity) method and EPQ (Economic Production Quantity) methods at PT. Perkebunan Nusantara IV (Persero) Medan. From the results it is known that economic orders according to the EOQ method in 2017 amounted to 2.741,222 tons and in 2018 amounted to 2.825,927 tons. The difference in total inventory costs generated using the EOQ method and company conditions in 2017 amounted to Rp71.605.439.976,17 and in 2018 amounting to Rp60.884.174.907,3. The optimal amount of production (EPQ) in 2017 and 2018 was 146.226,147 tons. The difference in total inventory costs generated using the EPQ method and the condition of the company in 2017 and 2018 amounted to Rp102.771.704.121,63.]]>
<![CDATA[Estimation of Indonesian Male Life Table with Survivorship Probability Method in Smoothed Way by using Coale-Demeny’s Life Table ]]>
<![CDATA[Hanifah Dara Puspita]]>;
<![CDATA[Nurul Huda Prasetya]]>;
<![CDATA[Ismail Husein]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 2 (2020): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v4i2.8992
<![CDATA[The population of Indonesia in each province are continuing increased every year. The total population of Indonesia in 2010 was 237.641.326, while in 2010 it increased by 32.562.591 people to 270.203.917 people, with the male population are greater than women population. By the population of Open Unemployment Male Rate (TPT) is higher than female, which is 5.31 percent compared to 5.23 percent. Unemployment is one of the ten important events in triggering stress. The male who don't have a job get a higher stress level then female, it found that the male who were unemployed were more risk towards death than female, about 78 percent compared to 37 percent. The purpose of this study is to estimate the life table of Indonesian male population by smoothing it using the Coale-Demeny’s life table based on the 2010 and 2020 Population Census data. The method of this study is Survival Analysis in Smoothed Way by using Coale-Demeny’s Life Table. The result of this study obtained by 58,84 years life expentacy (AHH), means that from 100.000 babies born will be able to live to the age of 58 or 59 years. By the pattern of the number of Indonesian male residents who survive, the result is close to (has similarities) to the pattern of the number of Indonesian male residents who survive that produced by the Central Statistics Agency (BPS-Statistics Indonesia).]]>
<![CDATA[Implementation of Electre Method in Determining Tourism Places in North Sumatera ]]>
<![CDATA[Triase, Triase]]>;
<![CDATA[Aprilia, Rima]]>;
<![CDATA[Khairuna, Khairuna]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 3, No 2 (2019): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v3i2.7915
<![CDATA[A tourist in determining the purpose of his tour, must be based on several criteria that are used as a determining factor in choosing. These criteria are taken into consideration by tourists in determining which tourist attractions will be chosen. Thus this study aims to assist tourists in choosing tourist attractions in North Sumatra based on the desired criteria and / or provide information to tourists about the best tourist attractions in North Sumatra in accordance with the desired criteria. The Elimination Et Choix Traduisant La Realita (ELECTRE) method which is a system that uses a multicriter decision making method based on the outranking concept by using a pairwise comparison of alternatives based on each appropriate criterion. This research resulted in a recommendation for natural tourist attractions in North Sumatra, namely Teluk Dalam tourism in the Nias Islands.]]>
