Rima Aprilia
University Islam Negeri Sumatera Utara

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Analisis Strategi Pemasaran Transportasi Online Menggunakan Teori Permainan Indah Hatika Lubis; Ismail Husein; Rima Aprilia
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 2 (2024): JANUARY 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i2.32064

Abstract

Advances in information and communication technology that are growing rapidly also bring influence in the field of transportation. It can be seen with the emergence of online transportation applications that help people so that it can be easier to order fast and efficient transportation in reaching various places. Along with the many online transportation applications that appear, this makes competition between online transportation increase. For this reason, online transportation companies need the right and best strategy to reach consumer profits and interests. The purpose of this research is to analyze competitive strategies based on optimal online transportation marketing strategies. The solution that can be used for this problem is to use the Game Theory method. Game Theory method is an approach or technique used to analyze the situation of interaction between two or more people or entities that have conflicting interests in choosing the action to be performed. The results of the research obtained show competition between Gojek and Grab, Gojek's optimal strategy is Security and Promo while Grab is Service and Promo. In the competition of Gojek and InDrive, Gojek's optimal strategy is promo, while InDrive is price. In the Gojek and Maxim competition, the same optimal strategy is Promo. On the competition of Grab and InDrive, Grab's optimal strategy is Security, while InDrive is price. In the competition of Grab and Maxim, Grab's optimal strategy is Promo while Maxim is price. In InDrive and Maxim competition, InDrive's optimal strategy is Price, while Maxim is Promo. So, from the research results, it is concluded that gojek has the most profitable marketing strategy if it uses promos, grab uses service and security, maxim uses promos, and indrive uses prices.
Klasifikasi Kelayakan Penerima Bantuan Program Keluarga Harapan Di Desa Cinta Rakyat Menggunakan Metode Weighted Naive Bayes Dengan Laplace Smoothing Nurjannah Nurjannah; Hendra Cipta; Rima Aprilia
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 2 (2024): JANUARY 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i2.32069

Abstract

The Indonesian government sometimes faces difficulties in dealing with poverty problems.  The Indonesian government utilizes a number of programs and stimulants to overcome the problem of poverty.  The government's PKH program offers conditional assistance to low-income families who have been designated as PKH recipient households.  PKH provision is still below optimal standards, this may be because the data used is not updated frequently.  To assist village officials in determining which residents are eligible to receive PKH assistance, this research tries to classify the eligibility of recipient residents in Cinta Rakyat Village.  With the Weighted Naive Bayes method, classification calculations are not only based on probability distributions but also by adding weights to each attribute to the class.  Assisted with Laplace Smoothing to avoid a probability value of 0. As a result, there are eight factors that determine a person's eligibility to receive PKH assistance, including age, occupation, income, number of family members, number of dependent school children, quality of house, type of floor, and type of walls. As well as classification into eligible and non-eligible groups.  And obtained test results using the Confusion Matrix with an accuracy value of 95.65%, error rate of 4.34%, sensitivity of 100% and specificity of 94.74%.  To identify village communities who deserve PKH assistance, Cinta Rakyat Village administrators can use the findings of this research.