Journal of Mathematics and Scientific Computing With Applications

IMPLEMENTATION OF A CULINARY TOURISM RECOMMENDATION SYSTEM FOR MEDAN CITY USING THE COLLABORATIVE FILTERING METHOD

Aidillia Adha Hasibuan, M. Khalil Gibran, Mhd Ikhsan Rifki — Thu, 30 Jan 2025 00:00:00 +0700

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

Riani Dwi Lestari, Ismail Husein, Hamidah Nasution, Haliza Suci Rachmadini — Thu, 30 Jan 2025 00:00:00 +0700

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)

Sari Fathul Jannah, Faisal Muhammad — Thu, 30 Jan 2025 00:00:00 +0700

THE OPTIMIZATION OF PLANTING PATTERN IN FOOD CROPS USING MULTI OBJECTIVE GOAL PROGRAMMING

Suci Permata Sari, Rina Filia Sari, Sri Ulfa Rahayu — Thu, 30 Jan 2025 00:00:00 +0700

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

Rahmelia Putri Harahap, Riri Syafitri Lubis, Hendra Cipta, Linna Syahputri — Thu, 30 Jan 2025 00:00:00 +0700

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.