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<![CDATA[IMPLEMENTATION OF ANALYTICAL HIERARCHY PROCESS & BEST WORST METHOD IN SUPPLIER SELECTION ]]>
<![CDATA[Nanang Alamsyah]]>;
<![CDATA[Mohammad Rachman Waluyo]]>;
<![CDATA[Muthia Zenzy Ariani]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v6i2.14889
<![CDATA[The incompatibility of the quality of the goods sent and the delay in delivery resulted in the company suffering losses and creating an unfavourable image in the company consumer's eyes. Both factors can be caused by error in the supplier selection process of raw material. The purpose of this research is to select the best supplier in the procurement process at the largest paper-producing company in Indonesia, which begins with determining the criteria that influence the selection of suppliers. The Analytical Hierarchy Process and the Best Worst Method were used in this study. Based on 4 personnel in the procurement department, 8 criteria were found for selecting suppliers with 3 alternative suppliers. The selected criteria are: Certificate Quality, Defect Rate, Offer Price, Discounts, Delivery Time, Order Fulfilment, Power Respond, and Work History. The offer price is the most important variable with a weight of 29.3%. Supplier A was selected with a score of 66.78%, while Supplier C became the second alternative priority and Supplier B became the third alternative priority.]]>
<![CDATA[ANALYSIS OF FACTORS INFLUENCING DRUG ABUSE CASES USING MODELS GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) IN INDONESIA ]]>
<![CDATA[Nurfebriyanti, Endah]]>;
<![CDATA[Nasution, Hamidah]]>;
<![CDATA[Cipta, Hendra]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v6i2.14917
<![CDATA[The number of drug abuse cases in Indonesia from 2015-2020 tends to fluctuate. Factors influencing drug abuse cases in each region are thought to vary according to geographical location. This geographic effect is known as spatial heterogeneity. Spatial heterogeneity was analyzed usingGeographically Weighted Regression(GWR). This study aims to model the factors that influence drug abuse in every province in Indonesia, namely Economic Situation (X1), Association/Environment (X2), Convenience (X3) and Lack of Supervision (X4) using a Gaussian kernel. The results showed that the GWR with the Gaussian kernel is better at estimating the model because it has a higher value, namely R^2 with 90.94% and the AIC value equals 598.798979. Factors that significantly affect the number of cases of drug abuse in Indonesia are Economic Conditions, Association/Environment, Convenience and Lack of Supervision.]]>
<![CDATA[APPLICATION OF MULTIPLICATIVE RANDOM NUMBER GENERATOR (MRNG) ALGORITHM IN BUILD SEMESTER EXAM APPLICATION ]]>
<![CDATA[Nasution, Yusuf Ramadhan]]>;
<![CDATA[Fakhriza, M]]>;
<![CDATA[Sitanggang, Merlin]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v6i2.15009
<![CDATA[In the world of education, exams are used to measure how well students have achieved their educational goals. This allows students to determine their level of understanding of the subject they are pursuing. If the results are found to be suboptimal, the learning process should be improved. A semester exam is an activity conducted to assess a student's development during the completed training period. MTs Persiapan Negeri 4 Medan is one of the educational institutions that conducts semester exams according to the Paper Pencil Test (PPT) model exam system. PPT is a traditional form of administration as all students are given the same test tasks. However, this review system has its drawbacks. The drawback of the question lies in the procurement of exam questions and answer sheets, which wastes paper and takes a lot of time. Also, their administration requires a lot of manpower to proctor the exams and specialized staff to revise the answer sheets and prepare the exam results. In this study, we will implement a Multiplicative Random Number Generator (MRNG) method to create a mobile-based semester exam application on MTs Persiapan Negeri 4. The designed application aims to overcome problems encountered in traditional exams, so there is no need to procure questionnaires or answer sheets, and no special staff is required to correct answer sheets]]>
<![CDATA[ANALYSIS OF THE FACTORS THAT AFFECT THE ORIGINAL REGIONAL INCOME OF THE PROVINCE OF NORTH SUMATERA USING PANEL DATA REGRESSION ]]>
<![CDATA[Saputri, Ika Junia]]>;
<![CDATA[Dur, Sajaratud]]>;
<![CDATA[Husein, Ismail]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v6i2.15032
<![CDATA[Regional Own Revenue is all revenue from the government at the regional level in a certain period, usually in a period of one fiscal year. There are several factors that can be used to increase Local Own Revenue. The factors used in this study are gross regional domestic product, number of tourists and restaurant taxes. This research was carried out using panel data analysis which is a combination of cross-sectional data (Districts/Cities in North Sumatra) and also time series (Regional Original Income 2015-2020). The best model obtained is the random effect model. From the value of Regional Original Income and these three factors, it was found that the results of Regional Original Revenue in North Sumatra had increased in 2015-2018, but in 2019-2020 Regional Original Revenue in North Sumatra had decreased. The variable that has a positive effect and also has a significant effect on Regional Original Income is the restaurant tax variable. The R2 value of this model is 0.78634, which means that the ability of the Restaurant Tax variable to explain the Regency/City Local Revenue variable in North Sumatra Province is 78.634%, while the remaining 21.366% is explained by other factors not included in the model.]]>
<![CDATA[Comparative Analysis of EGARCH and TGARCH Models in Stock Price Prediction ]]>
<![CDATA[Lubis, Arya Impun Diapari]]>;
<![CDATA[Dur, Sajaratud]]>;
<![CDATA[Husein, Ismail]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 1 (2022): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v6i1.15133
<![CDATA[Stocks are proof of the value of ownership of a company which are usually sold on the capital market, companies that buy and sell their shares will be easy to find with the existence of the stock market. The fund obtained by the company from investors who invest in several companies. Investors need to understand the models valuation of stock prices because investors have interest with changes in share prices. The purpose of study for looking the difference of the EGARCH model with TGARCH as a comparison which one is better at predicting stock prices. This research is a quantitative study using the EGARCH and TGARCH models by use Quasi Maximum Likelihood (QML) method. It was found that ARIMA (1 0 1) EGARCH (3 4) is a model that shows the best performance based on the smallest AIC value and the significance of all parameters. The ARIMA (1 0 1) EGARCH (3 4) model formed for forecasting returns and volatility is as follows: with ARIMA (1 0 1) EGARCH (3 4) models also have the MAE (Mean Absolute Error) value is 0.044%.]]>
<![CDATA[Simple Additive Weighting (SAW) Method for Admission of New Students Entitled to Scholarships at STMIK Logika Medan ]]>
<![CDATA[Muhammad Ihsan]]>;
<![CDATA[Kesadaran Luaha]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 1 (2022): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v6i1.15160
<![CDATA[New student admissions will certainly be done annually by the university. However, in the process, universities sometimes collaborate in the selection of campus scholars. Based on this, this research was conducted to develop a system for selecting new students who are entitled to receive scholarships at STMIK Logika Medan. The results of this study indicate that: :(a) Having a decision support system using the SAW method can help facilitate campus tasks in determining potential new students to accept; (b) To identify potential new students, they must meet the criteria that have been established; (c) Based on the data test results of 5 prospective new students, it was found that the prospective new student named Syifa Annisa had the highest score. Based on the results of these tests, the built application is able to provide information about the eligibility decision to admit new students;(d)Reporting in the form of sorting the final system results from highest to lowest value can make the resulting population value data easier to read for related parties.]]>
<![CDATA[PREDICTION OF INCREASE IN EARLY MARRIAGE DURING COVID-19 USING THE SINGLE EXPONENTIAL SMOOTHING METHOD ]]>
<![CDATA[Nasution, Yusuf Ramadhan]]>;
<![CDATA[Lubis, Solly Ariza]]>;
<![CDATA[Azis, M. Aldy]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v6i2.15034
<![CDATA[The Department of Population and Civil Registry of North Sumatra Province must know the prediction of the number of early marriages in the following year so that they can anticipate the occurrence of early marriages. The problem that occurs is that the government through the Department of Population and Civil Registry of North Sumatra Province cannot predict early marriage due to the impact of COVID-19, this is due to the lack of community activity in obtaining knowledge and the difficulty of obtaining information about the occurrence of early marriage. Therefore we need a way that can help the government in predicting early marriage. This study uses single exponential smoothing (SES) to predict an increase in early marriage due to the impact of COVID-19. With the application to predict the increase in marriage due to the impact of COVID-19 using the single exponential smoothing method, it is hoped that the Population and Civil Registry Office of North Sumatra Province will be able to find out the increase in the number of early marriages in the coming period.The Department of Population and Civil Registry of North Sumatra Province must know the prediction of the number of early marriages in the following year so that they can anticipate the occurrence of early marriages. The problem that occurs is that the government through the Department of Population and Civil Registry of North Sumatra Province cannot predict early marriage due to the impact of COVID-19, this is due to the lack of community activity in obtaining knowledge and the difficulty of obtaining information about the occurrence of early marriage. Therefore we need a way that can help the government in predicting early marriage. This study uses single exponential smoothing (SES) to predict an increase in early marriage due to the impact of COVID-19. With the application to predict the increase in marriage due to the impact of COVID-19 using the single exponential smoothing method, it is hoped that the Population and Civil Registry Office of North Sumatra Province will be able to find out the increase in the number of early marriages in the coming period.]]>
<![CDATA[IMPLEMENTATION OF SUGENO FUZZY LOGIC ON A RICE-EATING BIRD REPELLENT IN RICE FIELDS TO HELP FARMERS BASED ON MICROCONTROLLERS ]]>
<![CDATA[Ikhsan, Muhammad]]>;
<![CDATA[Hasugian, Abdul Halim]]>;
<![CDATA[Gunawan, Gunawan]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v6i2.15031
<![CDATA[The rapid development of technology in the current era, especially in the field of sensors, has made many technologies that use sensors appear. In the agricultural sector itself, the use of sensor technology is not spared. In the agricultural sector, rice fields also require a tool that can detect pests which are usually done by the manual method. The purpose of this research is to help farmers repel bird pests with automation tools to make it easier to monitor the fields from pests. This study conducted experiments carried out by manipulating the research object. The tools used are Arduino Uno microcontrollers as tool controllers, PIR sensors as detection sensors and servo motors as tool drivers. When a pest is detected by the sensor it is then sent to the device controller in the form of Arduino after which the servo motor moves. From the results of testing all the components of the tool, it can be concluded that the results of the entire system work and function in accordance with the system design, the results of the PIR sensor test can detect objects that pass through the sensor with an average of 120 cm]]>
<![CDATA[Algebras of Interaction and Cooperation ]]>
<![CDATA[Faigle, Ulrich]]>;
<![CDATA[Schonhuth, Alexander]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 8, No 1 (2024): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v8i1.19947
<![CDATA[Systems of cooperation and interaction are usually studied in the context of real or complex vector spaces. Additional insight, however, is gained when such systems are represented in vector spaces with ultiplicative structures, i.e., in algebras. Algebras, on the other hand, are conveniently viewed as polynomial algebras. In particular, basic nterpretations of natural numbers yield natural polynomial algebras and offer a new unifying view on cooperation and interaction. For example, the concept of Galois transforms and zero-dividends of cooperative games is introduced as a nonlinear analogue of the classical Harsanyi dividends. Moreover, the polynomial model unifies various versions of Fourier transforms. Tensor products of polynomial spaces establish a unifying model with quantum theory and allow to study classical cooperative games as interaction activities in a quantum-theoretic context.]]>
<![CDATA[Implementation of Multi Criteria Decision Making In The Evaluation Of The Work Of FKIP UHN Lecturers ]]>
<![CDATA[simanjuntak, ruth mayasari]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 7, No 2 (2023): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v7i2.19166
<![CDATA[The purpose of this study is to implement the multi criteria decision making (MCDM) with the Analytical Hierarchy Process (AHP) method to obtain the results of the assessment of the performance of the lecturer in determining the best lecturer. The use of this method begins with creating a hierarchical structure of the problem to be studied. A matrix of pairs of comparisons will be searched for the weight of each criterion by normalizing the average of the opinion of the respondent. Maximum eigen values and normalized eigen vectors will be obtained from the matrix. In the process of determining the hierarchical weighing factor, the competence test should be performed CR< 0,1. The factor variables used are student questionnaires towards learning (C1), Research (C2), Commitment to the community (C3), and Seminar/Workshop/General College/recognition (C4). Based on the data processing results, the priority is Research criteria (C2) of 0.318505; then the second criterion is Student questionnaire towards learning(C1) of 0.287053; the third is Abdimas’s (C3) criteria of 0.237667 and the last is the Seminar/workshop/general class/recognitive (C4) of 0.156775. And based on analysis using Analytical Hierarchy Process (AHP) then who becomes the best lecturer in the Faculty of Education and Sciences of the University of HKBP Nommensen is initially D15 set as the best faculty in position 1 with a score of 0.35 or 35%, D 14 is in position 2 with a rating of 0.335 or 33.5% and D12 is in the third position with the score of 0,325 or 32.5%.]]>
