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Journal of Mathematics and Scientific Computing With Applications
Published by Yayasan Pena Cendekia Insani
ISSN : 27985512     EISSN : 27985776     DOI : -
Core Subject : Education,
Mathematics
Journal of Mathematics and Scientific Computing With Applications is a broad-based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. It covers all major areas, such as numerical analysis, discrete optimization, linear and nonlinear programming, theory of computation, control theory, theory of algorithms, computational logic, applied combinatorics, coding theory, cryptographic, fuzzy theory with applications, differential equations with applications. Journal features research papers in all branches of mathematics that have some bearing on the application to scientific problems, including areas of actuarial science, mathematical biology, mathematical economics, and finance.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 109 Documents
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ANALYSIS OF USER SATISFACTION OF ONLINE MOTORCYCLE TAXI APPLICATIONS USING THE LITERATURE REVIEW METHOD Nay Marbintang, Fadillah; Andania, Rafika; Indriyana, Balqis; Wandari, Rizky; Salsabila, Lisa; Samroiyah, Juwita
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 2 (2023)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v4i2.976

Abstract

Technological developments have brought major transformations in the transportation sector, one of which is through the presence of online motorcycle taxi applications such as Gojek and Grab. This study aims to analyze user satisfaction of online motorcycle taxi applications using the literature review method. Data is collected from relevant scientific journals, articles, and research reports. The main factors that affect user satisfaction include service quality, price, ease of use of the application, and features offered. The results of this study provide insights for application developers to improve service quality and meet user expectations.
ANALYSIS OF UINSU FEMALE STUDENTS' PREFERENCES FOR LIPSTICK SELECTION USING THE CHI SQUARE TEST Putri Oktavia, Ade; Prasetyo, Dimas; Syifa Gultom, Fairus; Ritonga, Fatimah; Ardena Br Ginting, Nike; Taulia Br Tarigan, Sabrina
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 2 (2023)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v4i2.977

Abstract

This study aims to identify and analyze the factors that influence the preferences of female students of the State Islamic University of North Sumatra (UINSU) in choosing lipstick products that took place from 28 to 30 October 2024. The factors studied include the attributes of color, aroma, type of lipstick, price, and brand. This research uses quantitative methods with a comparative causal approach and chi-square analysis. Primary data is obtained from data collected directly from respondents through surveys using questionnaires. And secondary data is obtained from information on previous research reports, books, academic journals, and official documents. Research results show the decision to buy lipstick, from highest to lowest is color with 14.84, type 12.6655, brand 10.4346, aroma 8.7185, and price 12.2059. when viewed from the order, the higher the Ao value, the quality of the lipstick is at the top of the list that is most concerned by the respondent, and so on. Therefore, table 4.9 shows that rank 1 is color, rank 2 is type, rank 3 is aroma, rank 4 is brand and the last rank is the aroma of lipstick.
IMPLEMENTATION OF A CULINARY TOURISM RECOMMENDATION SYSTEM FOR MEDAN CITY USING THE COLLABORATIVE FILTERING METHOD Adha Hasibuan, Aidillia; Khalil Gibran, M.; Ikhsan Rifki, Mhd
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 1 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.988

Abstract

Culinary tourism has its own appeal for tourists visiting an area, but the tourists who come may not necessarily know the culinary offerings in that area, so a system is needed that can provide recommendations to tourists. A recommendation system is a system that can provide suggestions to its users regarding a particular item, and the suggestions given are used in various decision-making processes. The method used is Collaborative Filtering. The problem is how to apply the Collaborative Filtering method to recommend food with many influencing factors, resulting in a relevant recommendation. The recommendation process involves grouping users into a specific group through the clustering process using the K-Mean method, after which the software calculates the similarity between the user and the group members. The calculation of similarity between users and their group members uses the Pearson correlation coefficient formula. The determination of the recommendation results provided uses a ranking system with the highest recommendation values. The data used consists of 18 food data, 100 training data, and 10 testing data. The results of the relevance percentage test reached 80%.
ANALYSIS OF BASIC REPRODUCTION NUMBER DENGUE FEVER (DBD) SPREAD THE SIR MODEL USING VACCINE IMPACT IN MEDAN CITY Dwi Lestari, Riani; Husein, Ismail; Nasution, Hamidah; Suci Rachmadini, Haliza
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 1 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.989

Abstract

Dengue hemorrhagic fever (DHF) is a dangerous disease that is easily transmitted through mosquito bites of the species Aedes aegypti or Aedes albopictus. Dengue hemorrhagic fever (DHF) in Indonesia is an endemic disease and a serious health problem that causes many deaths. Based on the data obtained, the incidence of DHF is still high, especially in Medan City with its high population density and mobility. It is therefore necessary to have more intensive efforts to prevent DHF, one of which is by administering vaccines. Therefore, vaccination is used as an option that is commonly used to control the spread of dengue hemorrhagic fever (DHF). The purpose of this research is to get a mathematical model with the effect of the vaccine, to find out the analysis of the mathematical model with the effect of the vaccine, and to find out the analysis of the reproduction number () with the effect of the vaccine. TheSIR model was used to analyze the Basic Reproduction Number. According to this study, the basicreproduction number of DHF
CLASSIFICATION OF BASIC INFANT IMMUNIZATION MOTIVATION USING BINARY LOGISTIC REGRESSION AND SUPPORT VECTOR MACHINE (SVM) Fathul Jannah, Sari; Muhammad, Faisal
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 1 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.990

Abstract

Culinary tourism has its own appeal for tourists visiting an area, but the tourists who come may not necessarily know the culinary offerings in that area, so a system is needed that can provide recommendations to tourists. A recommendation system is a system that can provide suggestions to its users regarding a particular item, and the suggestions given are used in various decision-making processes. The method used is Collaborative Filtering. The problem is how to apply the Collaborative Filtering method to recommend food with many influencing factors, resulting in a relevant recommendation. The recommendation process involves grouping users into a specific group through the clustering process using the K-Mean method, after which the software calculates the similarity between the user and the group members. The calculation of similarity between users and their group members uses the Pearson correlation coefficient formula. The determination of the recommendation results provided uses a ranking system with the highest recommendation values. The data used consists of 18 food data, 100 training data, and 10 testing data. The results of the relevance percentage test reached 80%.
THE OPTIMIZATION OF PLANTING PATTERN IN FOOD CROPS USING MULTI OBJECTIVE GOAL PROGRAMMING Permata Sari, Suci; Filia Sari, Rina; Ulfa Rahayu, Sri
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 1 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.991

Abstract

In the agricultural sector, food crops are very important in human life because the results of food crops are basic human needs. This study discusses planting patterns to meet the availability of food crops. Planting patterns are very important to implement because it is to increase food production, so that food remains available and does not lack food needs. The study aims to determine the planting pattern in food crops so that the availability of food crops is met. The method used is Multi objective goal programming. Multi objective goal programming has more than one goal function to be achieved by minimizing deviations from the goal. The research obtained with a land area of 72525 Ha, the number of workers is 1000000, the need for organic fertilizer is 639000 kg / Ha, and the need for urea fertilizer as much as 14000000 kg / Ha can optimize planting patterns by planting types of food crop commodities in the of paddy and green beans.
THE USE OF HILL CLIMBING ALGORITHM IN GRAPHIC INFORMATION SYSTEM TO FIND THE SHORTEST ROUTE FOR WASTE TRANSPORTATION IN MEDAN DENAI DISTRICT Putri Harahap, Rahmelia; Syafitri Lubis, Riri; Cipta, Hendra; Syahputri, Linna
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 1 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.992

Abstract

Factors causing environmental damage/disaster include internal and external damage. By maximizing the transportation system, we are able to address the social issues optimally so that we provide more positive impacts on public health, environmental health, and urban beauty. Factors related to distribution can make decisions about the routes of transportation. The purpose of this research is to optimize the route of truck transportation using the Hill Climbing Algorithm in the District of Medan Denai from one point to another towards the construction site of the Sentairai. Based on the results of this study, it shows that the route of truck transport to the top with a graphical information system using Ailgorithm Hill Climbing, the route of truck transport to the top with a graphical information system using Ailgorithm Hill Climbing in the District of Medan Aireai with the shortest route for transport to the top is through a route with a total distance of 32.25 km with a travel time of 85 minutess and a total time of 8 hours 20 minutess, namely through: Start Point (Kantor Camat Medan Area) - Pandau Hulu II Village - Kotamatsum II Village - Pasar Merah Timur Village - Kotamatsum III Village - Tegal Sari III Sub-district – Tegal Sari I Sub-district – Sei Rengas Permata Sub-district – Tegal Sari II Sub-district – Sei Rengas II Sub-district – Sukaramai II Sub-district – Sukaramai I Sub-district – Kotamatsum I Sub-district and TPA.
ANALYSIS OF MSME INCOME IN MEDAN CITY DURING THE COVID-19 PERIOD WITH MULTIPLE LINEAR REGRESSION METHODE Sari, Nila; Dwi Tartila; Mahally, Jalaluddin; Khairul Furqan
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v2i1.41

Abstract

Micro, Small and Medium Enterprises (MSMEs) are an element of the phenomenon in today's economic world. With a capital that is not too large, you can start a business according to the desired goals. However, there are problems when operating whether MSMEs can survive and develop or can compete with large industries. Especially at this time around the world, being hit by the infectious disease covid-19 which has developed in 2020. The purpose of the study is to find out whether there is an influence from the development of covid-19 in the city of Medan on the income of MSMEs in the city of Medan. Data collection was carried out by interviewing several MSMEs around the city of Medan and taking the amount of data on Covid patients from the Medan City Government website, the Task Force for the Acceleration of Covid-19 Handling and the Medan City Health Office. To analyze the data, this research uses multiple linear regression analysis to see if there is an influence from Covid-19 on the development of Micro, Small, and Medium Enterprises in Medan City. The results of this study indicate that there is no significant effect of covid-19 between MSME income before the pandemic and the number of Covid-19 sufferers on MSME income when the pandemic increases.
BLACK TEA GRADE CLASSIFICATION USING PROBABILISTIC NEURAL NETWORK (PNN) Sari, Evi Indah; Prasetya, Nurul Huda; Lubis, Riri Syafitri
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v2i1.42

Abstract

North Sumatera tea is known as black tea, one which is produced by PT Perkebunan Nusantara IV Unit Bah Butong which produce 16 types of black tea. This research aims to classify black tea grades using Probabilistic Neural Network method and determine the accuracy value of black tea classification using Probabilistic Neural Network method. Data used are data of characteristics of 16 black tea types with the attributes id, types of tea, colour density, particel weight, particel size and particel shape. To get the best accuracy result, training data and testing data are divided using K-Means Clustering. Futhermore, classificy the testing data using Probabilistik the result obtained a grade 1 classification class totaling 7 records with a brownish black appearance and granutes particel, grade 2 totalling 7 record with a beownish appearance and grade 3 totaling 2 records with reddish appearance and not determine its shape and obtain an accuracy value of 80,00%.
CRITERIA FOR RECEIVING DIRECT CASH TRANSFERS USING THE TOPSIS METHOD Sari, Adek Kumala; Putri, Rezza Olga Shaponda; Willana, Rini Ade; Hazizah, Salsabillah
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v2i1.43

Abstract

In carrying out the direct cash transfer program during the Covid-19 pandemic, this is one of the efforts of the government to overcome poverty in Indonesia. In this case, it is very important that the assistance provided is right on target, so that it can be used by people in need. The method used in this research is the topsis method, by using the topsis method it is expected that the results given will find an alternative solution that is more precise and accurate because the calculation is based on predetermined criteria and weight values. Therefore, the researcher took the Topsis model for this study in order to provide maximum and accurate results.

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