Analisa Klasifikasi Data Mining Pada Tingkat Kepuasan Pengunjung Taman Hewan Pematang Siantar Dengan Algoritma

Batubara, Dinda Nabila; Windarto, Agus Perdana

doi:10.30865/komik.v3i1.1664

Cited by 9 publications

(10 citation statements)

References 6 publications

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“…Selanjutnya dibuktikan dengan penelitian oleh Batubara dkk, pada penelitiannya mengenai Implementasi C4.5 Terhadap Kepuasan Pelanggan, hasil penelitian menunjukkan tingkat akurasi sebesar 91%, dengan nilai presisi pada prediksi puas sebesar 92.21% dan nilai presisi pada prediksi tidak puas sebesar 90,91%. Class recall untuk puas sebesar 97,71% dan class recall untuk tidak puas sebesar 75% [3].…”

Section: Pendahuluanunclassified

Analisis Tingkat Kepuasan Pelanggan dengan Menerapkan Algoritma C4.5

2022

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Furniture is currently a secondary item that is quite needed among the community to support their daily activities. In its use, furniture becomes an item that really helps human activities in their daily lives. But now furniture marketing is not only in terms of use, but now people have their own assessment of the aesthetic value of a furniture. So this is a demand for furniture business people to make variations on each product to be marketed. Customer satisfaction is one of the most important things in assessing the level of service provided by the company to its customers. The purpose of this study was to determine the level of satisfaction of CV. Karinda customers. at the company CV. This aspect of Karinda has not been measured, so CV. Karinda finds it difficult to determine which aspects must be improved. The method used in this study is the C 4.5 algorithm, where the data source used is a questionnaire/questionnaire technique given to CV. Karinda customers. the process of testing this research using RapidMinner software to create a decision tree. From the results of the analysis is expected to improve the company's performance in providing services to customers CV. Karinda to be better

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Section: Pendahuluanunclassified

Analisis Tingkat Kepuasan Pelanggan dengan Menerapkan Algoritma C4.5

2022

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“…Institusi harus mampu bersaing untuk mempertahankan kelangsungan "hidupnya", hal ini bisa dipertahankan bila salah satu indikatornya mampu memberikan kualitas pelayanan [18], [19], [20], [21], [22].…”

Section: Pendahuluanunclassified

Implementasi Data Mining C4.5 Penerapan Algoritma C.45 Untuk Memprediksi Tingkat Kepuasan Mahasiswa Terhadap Politeknik Bisnis Indonesia

Sinaga¹,

Purba²

2021

Tekinkom

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Universities are not only required to provide services for students, but also must be able to compete to maintain service quality. This demand is absolutely necessary in order to create a loyalty for the community which will become valuable capital for an organization in the future. This study aims to recommend the satisfaction of Indonesian business polytechnic students by using the C4.5 data mining classification technique. Sources of data were obtained from questionnaires distributed via google form to final semester students (class of 2018) at the Indonesian Business Polytechnic. The attributes used to assess visitor satisfaction include: Tuition Fee Tariff, Campus Facilities, Administrative Services, Lecturer Services, Recommendation Level. The results of data processing using the C4.5 method through the RapidMiner tools obtained an accuracy value of 80.00%, precision 79.19%, and recall 79.19% with Satisfied criteria.

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“…RapidMiner adalah suatu perangkat lunak yang sifatnya terbuka (open source). RapidMiner juga merupakan solusi untuk melakukan analisis prediksi yang menggunakan berbagai macam teknik deksriptif dan prediksi untuk memberikan suatu wawasan kepada penggunanya, sehingga menghasilkan sebuah keputusan yang sangat baik [6].…”

Section: Rapidminerunclassified

Metode Data Mining Klasifikasi Pada Kualitas Pelayanan Terhadap Nasabah Bank Syariah Mandiri dengan Model C4.5

Supriadi

Poningsih

Qurniawan

2021

jurasik

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Customer satisfaction is the most important thing in assessing the level of management and services provided by the bank to its customers. The existence of banking services in society is indeed more profitable, especially in the economic sector, where economic actors are more free to carry out the process of economic activities to support survival. Data mining is an analysis of observations of large amounts of data to find relationships that are not known beforehand, data processed by the data mining method will produce a new knowledge sourced from old data, the results of processing can be used to determine future decisions. Using the C4.5 algorithm will predict which aspects are more dominant towards customer satisfaction. The data source of this research was collected based on a questionnaire (questionnaire) filled out by customers of Bank Syariah Mandiri in Pematangsiantar City. Data will be processed by calculating the value of entropy, calculating the gain value. So that the final results obtained in the form of a decision tree are expected to be input to the Bank Syariah Mandiri in Pematangsiantar City in maintaining the quality of its services to customers and improving the quality so that customers are always satisfied with the services provided

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Analisa Klasifikasi Data Mining Pada Tingkat Kepuasan Pengunjung Taman Hewan Pematang Siantar Dengan Algoritma

Cited by 9 publications

References 6 publications

Analisis Tingkat Kepuasan Pelanggan dengan Menerapkan Algoritma C4.5

Analisis Tingkat Kepuasan Pelanggan dengan Menerapkan Algoritma C4.5

Implementasi Data Mining C4.5 Penerapan Algoritma C.45 Untuk Memprediksi Tingkat Kepuasan Mahasiswa Terhadap Politeknik Bisnis Indonesia

Metode Data Mining Klasifikasi Pada Kualitas Pelayanan Terhadap Nasabah Bank Syariah Mandiri dengan Model C4.5

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