Articles
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
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DOI: 10.53806/jmscowa.v2i1.42
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%.
ANALYSIS OF THE VISIT RATE AT THE IRIAN MARELAN SUPERMARKET DURING THE COVID-19 PANDEMIC
Kartika , Dinda;
Lubis, Riri Syafitri;
Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani
Show Abstract
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Download Original
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DOI: 10.53806/jmscowa.v2i1.44
Currently our country is experiencing a disaster due to a very dangerous virus that has claimed many lives or commonly referred to as COVID-19. The government had limited the operating hours of public places to prevent the spread of the virus. This has resulted in disruption of economic activities, one of which is the Irian Supermarket & Dept Store. This research was conducted to determine how the level of visits to Irian with the Spearman Rank Correlation method. From the results of the Spearman Rank correlation analysis carried out, the calculated value is 0.307 with a positive sign which indicates a low level of relationship and it is concluded that the level of visits is not influenced by the application of health protocols but is influenced by facilities and sales techniques, This can also be seen in the results of the t-test. The result of count obtained is 3.20 shows that the variable level of visits has a significant correlation with purchasing decisions.
M/G/1 QUEUE WITH SINGLE WORKING VACATION AND VACATION INTERRUPTION TO THE EXPECTED VALUE OF MANY CUSTOMERSAT BANK MUAMALAT SUKARAMAI SUB-BRANCH OFFICE
Susilowati, Rahmi;
Lubis, Riri Syafitri;
Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani
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Full PDF (307.46 KB)
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DOI: 10.53806/jmscowa.v2i1.46
Queuing occurs because the number of customers who arrive exceeds the service capacity, so customers have to queue to be served. A working vacation is a server serving at a slower speed. The server can return to a busy period with a (vacation interruption) opportunity or continue a vacation with a opportunity, with the single working vacation and vacation interruption method. The objective of this study is to obtain the effect of service rate and the expected value of the number of customers in the system after the departure of one customer and minimize operating costs during the vacation period (pause). The M / G / 1 queue study with Single Working Vacation and Vacation Interruption found that the average arrival rate (?) was 0.069 and the average service rate was 1.5 with the average vacation time (?) was 0, 41 and the average value of the expected number of customers in the system is 0,19 and for operating costs it can also be drunk to -16,38. This means that the queuing system is not efficient, due to the low level of server activity and the expected value of the number of customers in the system is 0 or there are no customers waiting in the system.
POPULATION PROJECTION AND FACTOR ANALYSIS AFFECTING POPULATION GROWTH IN THE CITY MEDAN USING NON LINEAR TRENDS POLYNOMIC METHOD
Pertiwi, Fina Nur;
Lubis, Riri Syafitri;
Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani
Show Abstract
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DOI: 10.53806/jmscowa.v2i1.47
Non-linear trend is a measure of trend that has a model with quadratic equations, cubic and so on. The purpose of this research is to determine the population projection in Medan using a non-linear trend of the polynomial method (parabolic trend / quadratic trend) and to determine the factors that influence population growth in the city of Medan. From the results of data processing using the non-linear trend of the polynomial method, it is obtained that the projected number of population in 2029 will be 2645501 people, with The total male population is 1314713 and the female population is 1330788. When compared with the population in previous years, it can be seen that until 2029 the population in Medan will increase. Based on the research results from the factor analysis, it is known that the factors that are formed from the factor analysis process can be concluded that all the factors formed affect the population growth rate of Medan. The factors formed are birth (fertility), death (mortality) and migration.
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
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DOI: 10.53806/jmscowa.v6i1.992
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.
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
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Check in Google Scholar
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DOI: 10.53806/jmscowa.v6i1.992
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.
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
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%.
ANALYSIS OF THE VISIT RATE AT THE IRIAN MARELAN SUPERMARKET DURING THE COVID-19 PANDEMIC
Kartika , Dinda;
Lubis, Riri Syafitri;
Widyasari, Rina
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.v2i1.44
Currently our country is experiencing a disaster due to a very dangerous virus that has claimed many lives or commonly referred to as COVID-19. The government had limited the operating hours of public places to prevent the spread of the virus. This has resulted in disruption of economic activities, one of which is the Irian Supermarket & Dept Store. This research was conducted to determine how the level of visits to Irian with the Spearman Rank Correlation method. From the results of the Spearman Rank correlation analysis carried out, the calculated value is 0.307 with a positive sign which indicates a low level of relationship and it is concluded that the level of visits is not influenced by the application of health protocols but is influenced by facilities and sales techniques, This can also be seen in the results of the t-test. The result of count obtained is 3.20 shows that the variable level of visits has a significant correlation with purchasing decisions.
M/G/1 QUEUE WITH SINGLE WORKING VACATION AND VACATION INTERRUPTION TO THE EXPECTED VALUE OF MANY CUSTOMERSAT BANK MUAMALAT SUKARAMAI SUB-BRANCH OFFICE
Susilowati, Rahmi;
Lubis, Riri Syafitri;
Widyasari, Rina
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.v2i1.46
Queuing occurs because the number of customers who arrive exceeds the service capacity, so customers have to queue to be served. A working vacation is a server serving at a slower speed. The server can return to a busy period with a (vacation interruption) opportunity or continue a vacation with a opportunity, with the single working vacation and vacation interruption method. The objective of this study is to obtain the effect of service rate and the expected value of the number of customers in the system after the departure of one customer and minimize operating costs during the vacation period (pause). The M / G / 1 queue study with Single Working Vacation and Vacation Interruption found that the average arrival rate (?) was 0.069 and the average service rate was 1.5 with the average vacation time (?) was 0, 41 and the average value of the expected number of customers in the system is 0,19 and for operating costs it can also be drunk to -16,38. This means that the queuing system is not efficient, due to the low level of server activity and the expected value of the number of customers in the system is 0 or there are no customers waiting in the system.
POPULATION PROJECTION AND FACTOR ANALYSIS AFFECTING POPULATION GROWTH IN THE CITY MEDAN USING NON LINEAR TRENDS POLYNOMIC METHOD
Pertiwi, Fina Nur;
Lubis, Riri Syafitri;
Widyasari, Rina
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.v2i1.47
Non-linear trend is a measure of trend that has a model with quadratic equations, cubic and so on. The purpose of this research is to determine the population projection in Medan using a non-linear trend of the polynomial method (parabolic trend / quadratic trend) and to determine the factors that influence population growth in the city of Medan. From the results of data processing using the non-linear trend of the polynomial method, it is obtained that the projected number of population in 2029 will be 2645501 people, with The total male population is 1314713 and the female population is 1330788. When compared with the population in previous years, it can be seen that until 2029 the population in Medan will increase. Based on the research results from the factor analysis, it is known that the factors that are formed from the factor analysis process can be concluded that all the factors formed affect the population growth rate of Medan. The factors formed are birth (fertility), death (mortality) and migration.