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INDONESIA
Zero : Jurnal Sains, Matematika, dan Terapan
Published by Universitas Islam Negeri Sumatera Utara
ISSN : 2580569X     EISSN : 25805754     DOI : 10.30829
Core Subject : Science, Education, Agriculture,
Agriculture, Biological Sciences & Forestry Chemistry Mathematics Physics
Arjuna Subject : -
Articles 241 Documents
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Implementation Of Decision Selection In The Selection Of Transportation Modes Among Workers And Students In Medan City Using Ahp And Electric Methods Sabrina, Ladia; Rakhmawati, Fibri; Husein, Ismail
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 1 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i1.12454

Abstract

The mode of transportation is a means of connecting used by workers and students to be able to help with all daily activities. The development of transportation modes is increasingly significant with the addition of wider technological sophistication, so that there are more and more diverse types of transportation modes. The purpose of this research is to determine the factors that have the most influence on the choice of mode and provide more effective decisions among workers and students in the selection of public transportation modes to be used. In this research, the decision support system (DSS) method is used, namely the analytical hierarchy process (AHP) and elimination et choix traduisant la reality (ELECTRE) by performing multi-criteria calculations that compare the criteria and alternatives. Where the results obtained in this research is that the most influential factor in the selection of transportation modes among workers is time efficiency with a weight of 25.9 %, while the influential factor for students is cost which produces a weight of 30.7 %. The most effective and efficient alternative mode of transportation among workers is Go-Jek Bike, while for students it is Transmetro Deli.
IMPLEMENTATION OF THE DOUBLE EXPONENTIAL SMOOTHING (DES) METHOD TO FORECET THE CONSUMER PRICE INDEX (CPI) IN MEDAN CITY Hutagalung, Goklas; Nasution, Hamidah
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 1 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i1.12455

Abstract

The Central Statistics Agency (BPS) as a non-ministerial government agency has the task of providing data needs for the government and the public obtained through censuses and surveys conducted by BPS itself and also from other government departments or agencies as secondary data.  The problem that occurs at BPS is   the field of inflation, one of which is in the field of the consumer price index, which experiences price fluctuations which have an impact on the economy. Forecasting is an important tool used for effective and efficient planning, therefore, forecasting is needed to predict various events that will occur in the future. One of the methods used for forecasting is the linear Double Exponential Smoothing (DES) method from Brown, this method basically uses past data which is smoothed by exponen- tially weighting the older observation values or newer values and the data used shows trend pattern. Trend is a smoothed estimate of the average growth at the end of the period. In this study, the best parameter α for forecasting the consumer price index in the city of Medan is α= 0,8 with a MAPE percentage of 0,0223. And the results of the consumer price index forecast in the city of Medan in 2022-2023 show an increase every month.
Implementation of Triple Exponential Smoothing Method In The Number Of Divorce Rate In North Sumatra Rio Derwanto
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 1 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i1.12452

Abstract

The number of divorce rates in North Sumatra from 2007 to 2020 has increased. The increase in the number of divorce rates in North Sumatra which has an impact on the mental condition of children is disturbed, so forecasting is carried out in order to reduce the number of future divorce rates in North Sumatra. The purpose of this study is to find out the results of the number of divorce rates in North Sumatra in 2021-2023 and to see which accuracy is more accurate between the Triple Exponential Smoothing Method. The comparison between Triple Exponential Smoothing Method which has more accurate forecasting, namely Triple Exponential Smoothing Method with parameter values  and MAPE values of 10,21%, obtains the equation for forecasting the number of divorce rates in North Sumatra is . The results of the study, the number of divorce rates in North Sumatra increased in 2021 with 12.765 cases and decreased in 2022 and 2023 with 11.708 cases and 10.271 cases respectively.
Application of Graph Coloring on Nurse Work Scheduling at H. Adam Malik Hospital Medan Using the Tabu Search Algorithm Ananda, Rizky; Indra, Zulfahmi; Nasution, Hamidah
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 1 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i1.12451

Abstract

Complex problems that usually occur in every hospital, one of which is scheduling with so many aspects, for example: the number of nurses, the distribution of nurse shifts, time off or leave and others. With the manual method that is still used in compiling the nurse's work schedule, it makes it difficult for an irregular and regular schedule. In solving the scheduling problem, the graph coloring method can be used. This scheduling problem can be solved by graph coloring. One solution to solve the problem of concluding graphs in scheduling is the Tabu Search Algorithm. A method that works as an effective problem solving method in finding the best solution to a problem. A method is used to solve the problem by making a representation in the form of a graph where the nurse is a node and grouping nurses as an edge by implementing the graph coloring into the Tabu Search Algorithm.
Application of Optimal Control Theory to Inventory Problems That Are Increasing at PT. Canang Indah Hidayah, Nur; Aidah, Asnil
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 1 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i1.12453

Abstract

This journal discusses optimal control of inventory problems that are increasing. The inventory in the company is needed, to meet every incoming demand. Inventory in minimum quantity can result in shortage of inventory. But inventory quantity maximum can result in losses, due to the minimum demand. The purpose of this research is to determine the level of optimal inventory in PT. Canang Indah. Using the optimal control theory model and analyzing the stability of the dynamic differential equation, to find the optimal inventory level. Obtained optimal inventory levels achieve stability at the time . For the planning length of 12 months includes: raw material inventory (logs sengon and rambung), production (finished materials in process) and finished particle board products that are in the warehouse. From this research optimal control theory can be applied in PT. Canang Indah to optimize inventory on the problem of increasing inventory.
FORECASTING THE NUMBER OF DEATH DUE TO TRAFFIC ACCIDENTS IN MEDAN CITY USING EXPONENTIAL SMOOTHING METHOD Suhadi, Muhammad; Susiana, Susiana
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i2.14032

Abstract

This study aims to determine the prediction of the number of deaths due to traffic accidents in the city of Medan in 2009 - 2018. This study was conducted with quantitative forecasting, namely forecasting based on quantitative data in the past. The data of this study is data on the number of deaths due to traffic accidents in the city of Medan in 2009 - 2018 with a total of 10 years. Data were analyzed using Microsoft Excel with Exponential Smoothing method. The number of deaths due to traffic accidents in Medan City in 2019 was 244 people, in 2020 it was 219 people, and in 2021 it was 197 people with a MAPE of 0.1536659 or 15.36% with an alpha constant (α = 0.1). This shows that the level of accuracy at MAPE <20, meaning that the forecasting ability is good using the Exponential Smoothing method while the MAD value is 41.02 and the MSE value is 2677.54
RELATIVE RISK ANALYSIS OF THE SPREAD OF COVID-19 VIRUS IN MEDAN CITY BY SPATIAL AND NON-SPATIAL APPROACHES Audina, Yurid; Sari, Rina Filia; Widyasari, Rina
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i2.14557

Abstract

The city of Medan is the city with the highest cases of COVID-19 virus among cities in North Sumatra. This study was conducted to analyze the relative risk level for the spread of the COVID-19 virus. Estimation of relative risk is a statistic in disease mapping that is used to determine the distribution of disease. Relative risk estimation can be estimated using a direct estimator model or Standardized Morbility ratio and a small area estimation model using Bayesian Conditional Autoregressive (CAR) with the Poisson-Gamma model. The Poisson-Gamma model is one of the models in estimating small areas in the form of count data which is suitable for use in disease mapping cases. This study aims to find the relative risk value as the basis for mapping the spread of the COVID-19 virus in the city of Medan using the Standardized Morbility Ratio and Bayesian Condition Autoregressive models. And look for the value of the Central Error Squared (KTG) / Mean Squared Error (MSE) as a comparison which model is more efficient in estimating this research. Condition Autoregressive models. And look for the value of the Central Error Squared (KTG) / Mean Squared Error (MSE) as a comparison which model is more efficient in estimating this research.
IMPLEMENTATION OF DOUBLE EXPONENTIAL SMOOTHING HOLT METHOD IN FORECASTING COMMERCIAL RICE SALWS IN PERUM BULOG SUB DIVRE MEDAN Agustine, Venina; Indra, Zulfahmi; Nasution, Hamidah
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i2.14033

Abstract

Logistics general company or Perum BULOG is a state-owned public company engaged in food logistics, especially rice. To carry out its functions, this agency is assisted by several regional divisions or subdivisions, one of which is the Medan Sub-Divisional Division having its address at Timbang Deli, Medan Amplas District, Medan City. Forecasting is a technique for estimating a value in the future by paying attention to historical data or current data. The purpose of this study is to analyze data based on historical data patterns and predict using the Double Exponential Smoothing Holt method by finding optimal parameters based on the smallest MAPE value. The results of this study obtained a graph of data patterns that experienced an upward trend so that it could be predicted using the Double Exponential Smoothing Holt method with optimal parameters , namely  dan  and based on the smallest MAPE value, which was 0,0418052 and also obtained the results of forecasting commercial rice sales at Perum BULOG Sub Divre Medan which will increase by 151,3 kg every month, namely in January 2022 by 865369 kg, in February 2022 by 865540,3 kg, in March 2022 by 865691,6 kg, in April 2022 by 865842,9 kg, in in May 2022 amounted to 865994,2 kg, and in June 2022 amounted to 866145,5 kg.
THE EFFECT OF CHEMICAL ADDITION FACTORS ON EXTERNAL WATER PURIFICATION WITH MICROSOFT EXCEL APPLICATION Harahap, Bonar; Rahman, Aditya; Arfah, Mahrani
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i2.14560

Abstract

This study aims to see the influence of chemical addition factors such as Alum, Soda ash, and Flocculand in external water treatment on water purification that will be used in processing in palm oil mills does not form scale / sediment on the walls, especially at boiler stations / boilers. This study was conducted in the laboratory using jartes with each triplo experiment / 3 times with the addition of a predetermined chemical dose and seen the turbidity / level of clarity and recorded processed into data. Then the results of the recapitulation of the research data obtained will be processed using the  statistical analysis method using the complete random design (RAL) method of 3 factorials and continued with the results of the anova / fingerprint test table and the data processing will use the help of the Microsoft Excel application. From the results of the research obtained using the RAL (Complete Random Design) method 3 factorials the result that the influence of the addition of alum and flocculant chemicals will have a real effect on water purification which means  that the Fhitung > Ftabel  value, then Ho is rejected, alum and flocculants have the function of forming flocs that aim to precipitate dirt so that the water can be purified, it is very dominantly needed,  While on the addition of chemical soda ash with the result of the decision obtained F count 0.186746989 < F table 3.168245967 So it can be concluded that Ho is accepted at the real level of ά.  which means that the treatment has no real effect on the observed response. This is because soda ash has a function that can only be used as a pH regulator for the water to be purified in the palm oil mill.
MODEL REGRESSION COX PROPORTIONAL HAZARD WITH BAYESIAN METHOD FOR SURVIVAL ANALYSIS OF COVID-19 PATIENT CASES AT RSUD Dr. PIRNGADI KOTA MEDAN Anandara, Aurelia; Nasution, Hamidah; Husein, Ismail
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i2.14648

Abstract

Survival analysis is a statistical procedure for analyzing data by observing the response variable in the form of event time data from the beginning of recording to the end of the event. Survival analysis is used in many fields of medicine. The cox proportional hazard model aims to look at the factors of the recovery rate on patient survival. In this study using Bayesian data with Lognormal distribution in Covid-19 patients at Dr. Pirngadi, Medan City. The predictor variables are Age, gender, employment status, and other diagnose. Based on the research, the cox proportional hazard model was obtained  with the influential variables based on the credible interval it is known that the age and genderare significant variables. Among the two variables that have the most influence is the age because it obtains a larger coefficient, namely

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