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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 184 Documents
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DETERMINATION OF DOMINANT SIDE CONTRACTION NUMBERS IN BANANA TREE AND FIRECRACKER GRAPES Simanungkalit, Devi Febriany; Mulyono, Mulyono; Nasution, Hamidah
ZERO: Jurnal Sains, Matematika dan Terapan Vol 7, No 2 (2023): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v7i2.17770

Abstract

This research aims to determine the pattern of dominance side contraction numbers in banana tree graphs and fireworks graphs. Banana tree graph Bn,,k is  a graph obtained by connecting one leaf from each n-copies  of a k star graph with one vertex that is different from all the star graphs. The fireworks graph  is a tree that is similar to the caterpillar graph, the difference lies in the backbone node n which is connected to the earring node k from the caterpillar graph. The dominating number is denoted by γ ( G ) is the smallest cardinality of a dominating set. Domination set The minimum is a dominating set from which no points can be removed without changing its dominance. Domination contraction number of a graph ctγ ( G ) is defined as the minimum number of edges that must be contracted to reduce the dominance number .
INVENTORY CONTROL OF DISPOSABLE MEDICAL DEVICES IN HOSPITALS USING THE ECONOMIC ORDER QUANTITY (EOQ) AND REORDER POINT (ROP) METHOD Elis, Elis Citra; Husein, Ismail
ZERO: Jurnal Sains, Matematika dan Terapan Vol 7, No 1 (2023): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v7i1.17244

Abstract

Controlling the supply of disposable medical devices at RSUD Dr. Pringadi not completely running well. The purpose of this research is to control the supply of disposable medical devices in order to determine the amount optimal ordering and to find out the number of reorders on all types of disposable medical devices. In this research also did calculating the value of the investment in each type. Calculation results for the investment level group of 0-70% has 11 types of disposable medical devices with a financial value of IDR 64,136,040.00 or 70% of the total investment with Economic Order Quantity can be ordered from a total of 14-152 items, Buffer Stock or safety stock starts stocking from 1-198 items and Reorders Points range from 1-318 items. For the investment level group 71-90% have 21 types of disposable medical devices with a financial value of Rp 181,953,529.00 or 20% of the total investment with EOQ can be ordered from quantity 2-21237item, buffer stock from 2-1237item and ROP from reordered 4-1987item.For the investment level group of 91-100% has 71 types of disposable medical devices with a financial value of Rp 85,103,749.00 or 9.4% of the total investment with EOQ calculations ordered starting from 1-421, buffer stock starting from 2-247 items and ROP starting from 2 - 397items.So this research is useful to help the warehouse Pharmacist at RSUD Dr. Pringadi in controlling the supply of medical devices disposable.
Performance Evaluation of RSSI Prediction Methods in Wireless Communication Networks Rifki, Mhd Ikhsan; Ikhwan, Ali; Muhammad, Faisal
ZERO: Jurnal Sains, Matematika dan Terapan Vol 8, No 1 (2024): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v8i1.19420

Abstract

Continuous communication services that ensure user connectivity with the communication network are important. The communication network should be able to accommodate erratic user movements with high mobility. This research studies the performance of three different RSSI prediction methods: decision trees, random forests, and linear regression. Evaluation is carried out using statistical metrics, including mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), and percentage accuracy. This analysis was carried out to understand how well each model predicted RSSI values based on distance. The research results show that Decision Tree Performance has an accuracy of 83.333%, Random Forest has a high accuracy of 97.2545%, and the Linear Regression Model provides quite good predictions with an accuracy of 91.6667% in predicting RSSI values.
Hajj Regsitration Information Systems Based On Mobile Using Quota Base Method Siregar, Mhd Alwi Nazri; alda, Muhamad
ZERO: Jurnal Sains, Matematika dan Terapan Vol 7, No 2 (2023): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v7i2.19227

Abstract

The Office of the Ministry of Religious Affairs of Medan City is a state ministry that provides hajj departure services for prospective pilgrims. In conducting the registration process for Hajj departure, the Office of the Ministry of Religious Affairs of Medan City has not provided a system, so the registration process is still carried out conventionally. Prospective pilgrims must come directly to register for Hajj by filling out the registration form and bringing the requirements needed for registration. By doing this, there are still problems that occur, especially in terms of time, cost, and energy spent. Therefore, the purpose of this research is to build a mobile-based information system using a quota-based method to facilitate Hajj registration. The system development method used is the Rapid Application Development (RAD) method, which consists of planning, design, and implementation workshops. While the tools used by the author in creating a visual information system design are UML (Unified Modeling Language), this mobile-based information system was built using the Kodular framework and the Airtable database. With this information system, it is expected to help prospective pilgrims register for Hajj easily and quickly through Android mobile.
OPTIMIZING RAW MATERIAL INVENTORY USING ECONOMIC ORDER QUANTITY (EOQ) METHOD IN BOMBAY BAKERY Hannum, Syaripah; Ahyaningsih, Faiz; Nasution, Hamidah
ZERO: Jurnal Sains, Matematika dan Terapan Vol 7, No 1 (2023): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v7i1.17562

Abstract

Bombay Bakery is a bakery that operates in the field of bread production. Various raw materials used in bread production include wheat flour, butter, sugar, bread improver, eggs and so on. This research aims to determine the optimal order quantity of raw materials each time an order or purchase is made, for the Reorder Point and for the total cost of raw material inventory using the Economic Order Quantity (EOQ). Data collection techniques were carried out by means of library studies and field research. The data analysis technique used is quantitative data analysis technique. Based on perhi analysisThe profit was obtained by ordering or purchasing 659 Kg of raw materials for wheat flour, 37 Kg of butter, 102 Kg of sugar, 3 Kg of bread improver, and 11 eggs with a reorder point for wheat flour raw materials of 501 Kg, 24 Kg of butter, 65 Kg of sugar, 1 Kg of bread leaven, and 8 pieces of eggs. With total costs using company policy of IDR 22,740,233.- while using the Economic Order Quantity (EOQ) model it is IDR 12,761,888.-  so that using the Economic Order Quantity (EOQ) model is more effective in saving raw material inventory costs
PREDICTION OF TOBACCO PRODUCTION USING THE METHOD SINGLE SPECTRUM ANALYSIS (SSA) Ardaniah Hazrah; Rina Widyasari
ZERO: Jurnal Sains, Matematika dan Terapan Vol 7, No 1 (2023): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v7i1.17156

Abstract

ABSTRACTThe increasing population growth in North Sumatra Province every year has an impact on increasing the need for staple sources for daily life in North Sumatra, so it is necessary to do a forecast to anticipate food shortages in the future. This study aims to determine the results of tobacco production in North Sumatra Province in 2024 and the level of accuracy of the methods used. The results of the study obtained the prediction of rice production in North Sumatra Province in 2024 using the Singular Spectrum Analysis (SSA) method, respectively from Quarter I to Quarter III, of 665 tons, 725 tons, and 740 tons, with a level of forecasting accuracy based on the standard MAPE value obtained of 15.78%. The MAPE value obtained is less than 10% and close to 0%, meaning that the SSA method with window lengths of 9 and 7 groups is very accurate for predicting tobacco production in North Sumatra Province.
How the Pigeonhole Principle Can be Applied to Verify the Number of Classrooms Needed Rozi, Syamsyida; Yurinanda, Sherli; Sarmada, Sarmada; Afrianda, Vionica; Sormin, Corry
ZERO: Jurnal Sains, Matematika dan Terapan Vol 8, No 1 (2024): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v8i1.19292

Abstract

Classrooms are one of the main needs for educational institutions to carry out learning activities and are an important element in creating an optimal learning environment for educators and students. Determining the number of classrooms should be done through the thorough calculation. The aim of this research is to perform how pigeonhole principle can be applied to verify the numbers of classroom needed. In working with pigeonhole principle, it should be clear what will be “pigeon”, and what will be “pigeonhole”. According to the results of this research, as we took the case study for Faculty of Science and Technology Universitas Jambi which currently build a new building, if FST wants to allocate the rooms for each department, it will need 52 classrooms based on scheme 1 and 58 classrooms based on scheme 2. While if FST does not consider the allocation for each department, then it will need 45 rooms based on scheme 1 and 46 classrooms based on sheme 2.
Implementation of the First Come First Served Algorithm in the Futsal Field Booking Application using Extreme Programming Abdillah, Muhammad Imam; Irawan, Muhammad Dedi
ZERO: Jurnal Sains, Matematika dan Terapan Vol 7, No 2 (2023): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v7i2.19163

Abstract

This research is related to the development of an Android-based futsal field booking application at Laut Dendang Futsal using the First Come First Serve (FCFS) method. Currently, tenants are facing problems with booking futsal fields, especially because the booking process is still manual and time consuming at Laut Dendang Futsal. Ordering systems that do not use information technology cause customers to have to visit the location directly to order the field. The FCFS method is applied to arrange a futsal field booking schedule based on order of arrival, where requests that arrive first will be served first. This research builds an Android-based application with the aim of increasing efficiency in booking management and futsal field scheduling. The development approach used is the Extreme Programming method, which includes planning, design, coding and continuous testing. The results of application development show good performance in minimizing ordering errors and making it easy for Laut Dendang Futsal customers to order fields without having to come directly to the location. Admin can easily manage and record orders, avoiding errors in the ordering system. Thus, this research makes a positive contribution in increasing the efficiency of booking futsal fields, as well as speeding up responses to incidents.
THE APPLICATION OF SEASONAL TREND DECOMPOSITION USING LOESS FOR EXPORT FORECASTING BY ECONOMIC COMMODITY GROUP IN NORTH SUMATRA Yunisa, Fahira Audri; Siregar, Machrani Adi Putri
ZERO: Jurnal Sains, Matematika dan Terapan Vol 7, No 1 (2023): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v7i1.17341

Abstract

In export data, there are often seasonal fluctuations caused by various factors, and STL (Seasonal Trend decomposition using Loess) can help effectively separate these seasonal components. STL is an algorithm developed to decompose a time series into three components: trend, seasonal, and remainder, aiding in a better understanding of the underlying patterns and variations in the data. The data taken in this study are data on the number of exports (tonnes) in the period January 2018 to December 2022 sourced from bps. From the forecasting results it can be concluded that the largest BM export value is 6357.6131 (tons), the largest BP export value is 859804.0 (tons) and the largest BP export value is 113157.64 (tons).
Implementation off Fuzzy C-Means (FCM) and Fuzzy Possibilistic C-Means (FPCM) for Clustering District/City Based on Health Services and Infectious Diseases in North Sumatera Purba, Feronika Paska; Roder, Klause; Simamora, Elmanani; Nasution, Hamidah
ZERO: Jurnal Sains, Matematika dan Terapan Vol 8, No 2 (2024): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v8i2.23480

Abstract

The study aims to compare the Fuzzy C-Means (FCM) and Fuzzy Possibilistic C-Means (FPCM) algorithms and to profile the results of district / city clusters in North Sumatra based on health services and infectious disease sufferers. The method used is descriptive quantitative research using annual data obtained from the North Sumatra Provincial Health Office for the period 2023. The data was collected and then analyzed using both Clustering algorithms to find the most optimal results. The results showed that Fuzzy Possibilistic C-Means proved to be a better algorithm compared to Fuzzy C-Means in this study. The number of clusters formed is 3 with Cluster 3 being the highest level of health urgency in North Sumatra province. The findings of this study can help the government in equalizing the control of the number of health services and infectious disease patients. 

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