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Naïve Bayes Klasifikasi untuk Rekomendasi Strategi Promosi Tindakan pada Aesthetic Dental Clinic Karawang Utami, Dwiarti Rahma; Kurniawan, Adi; Enri, Ultach
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.360

Abstract

Aesthetic Dental Clinic is one of clinic in Karawang. To keep old patients and attract new patients visiting Aesthetic Dental Clinic, it is necessary to develop a new marketing strategy in promotion. The metodh of data mining classification can be used to help determine promotional strategies to attract customers. The Naïve Bayes algorithm can be helpful to predict customer interest based on promos given by the ADC Clinic (Aesthetic Dental Clinic). The Naïve Bayes algorithm is a data mining classification algorithm that can be used to support an effective and efficient promotion strategy. The result of this research is the application of the data mining algorithm, namely Naïve Bayes, which can provide important information such as prediction results in an effort to attract customer interest. The data used in this study is customer data from October 2020 - November 2020. The accuracy value generated by Naïve Bayes using Rapid Miner was 31.74% and the result of kappa value was 0.183. With the accuracy value obtained, it is hoped that it can help to support promotional strategies that have an impact on the effectiveness and efficiency of promotions and can increase the number of new customers.
Rancang Bangun Sistem Penjualan Sate Taichan Berbasis Web Mulyadien, Muhamad Khandava; Kurniawan, Adi; Utami, Dwiarti Rahma; Enri, Ultach
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.429

Abstract

An e-commerce Website is a Website to aims to sell one or more goods or services by using electronic media as a media for the transaction of goods/services. Taichandel is a food outlet that sells a variety of foods,  Aim of this research to solve the problem that occurs at the Taichandel because  the transaction of  this outlet still manual.  The metodh of this research using waterfall metodh, this metodh is used to  develop the software start with analytic, design, code until testing. The results of this research is  design system and system implementation with programming languages as html, php and database MySQL.  Benefit of this research is this information system can help the process of managing data related to the Taichandel Store and speed up the process of buying, selling and selling transactions  and also the owners  can check  the transaction reports because all store data is stored in the database so as to maximize sales evaluation and minimize loss of sales data.
Naïve Bayes Klasifikasi untuk Rekomendasi Strategi Promosi Tindakan pada Aesthetic Dental Clinic Karawang Utami, Dwiarti Rahma; Kurniawan, Adi; Enri, Ultach
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.360

Abstract

Aesthetic Dental Clinic is one of clinic in Karawang. To keep old patients and attract new patients visiting Aesthetic Dental Clinic, it is necessary to develop a new marketing strategy in promotion. The metodh of data mining classification can be used to help determine promotional strategies to attract customers. The Naïve Bayes algorithm can be helpful to predict customer interest based on promos given by the ADC Clinic (Aesthetic Dental Clinic). The Naïve Bayes algorithm is a data mining classification algorithm that can be used to support an effective and efficient promotion strategy. The result of this research is the application of the data mining algorithm, namely Naïve Bayes, which can provide important information such as prediction results in an effort to attract customer interest. The data used in this study is customer data from October 2020 - November 2020. The accuracy value generated by Naïve Bayes using Rapid Miner was 31.74% and the result of kappa value was 0.183. With the accuracy value obtained, it is hoped that it can help to support promotional strategies that have an impact on the effectiveness and efficiency of promotions and can increase the number of new customers.
Rancang Bangun Sistem Penjualan Sate Taichan Berbasis Web Mulyadien, Muhamad Khandava; Kurniawan, Adi; Utami, Dwiarti Rahma; Enri, Ultach
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.429

Abstract

An e-commerce Website is a Website to aims to sell one or more goods or services by using electronic media as a media for the transaction of goods/services. Taichandel is a food outlet that sells a variety of foods,  Aim of this research to solve the problem that occurs at the Taichandel because  the transaction of  this outlet still manual.  The metodh of this research using waterfall metodh, this metodh is used to  develop the software start with analytic, design, code until testing. The results of this research is  design system and system implementation with programming languages as html, php and database MySQL.  Benefit of this research is this information system can help the process of managing data related to the Taichandel Store and speed up the process of buying, selling and selling transactions  and also the owners  can check  the transaction reports because all store data is stored in the database so as to maximize sales evaluation and minimize loss of sales data.
Klasifikasi Data Mining Dalam Menentukan Pemberian Pinjaman Berbasis Arisan Online dengan Algoritma C4.5 Pratiwi, Jane Indah; Utami, Dwiarti Rahma; Enri, Ultach
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 6, No 2 (2022): InfoTekJar Maret
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v6i2.4745

Abstract

Arisan JIP yang berada di bawah naungan PT. Solusi Pertiwi Indonesia adalah sebuah bisnis pinjaman online berbasis arisan yang berjalan sejak 2020 hingga sekarang dengan kegiatan berupa simpanan dan pinjaman. Usaha bisnis arisan online sejenis termasuk arisan JIP pernah dan hampir mengalami pailit karena banyaknya nasabah yang mendapat pinjaman lebih dulu terkena kredit macet dan ikut menghambat nasabah lain. Tujuan dari penelitian ini untuk membantu menentukan klasifikasi nasabah yang layak mendapat pinjaman lebih dulu sehingga kedepannya, hanya nasabah dengan klasifikasi tertentu yang bisa mendapat pinjaman. Penelitian menggunakan algoritma C4.5 dengan hasil nilai akurasi sebesar 80% dan AUC sebesar 0,917 yang tergolong klasifikasi sangat baik. Penelitian ini juga menghasilkan decision tree yang dapat menghasilkan rule yang dapat digunakan dalam klasifikasi penentuan layak nasabah.