Penerapan Algoritma ELECTRE Pada Pemilihan Cream Pelembab Berdasarkan Konsumen

research
  • 28 Jul
  • 2020

Penerapan Algoritma ELECTRE Pada Pemilihan Cream Pelembab Berdasarkan Konsumen

The aim of the study is to recommend the selection of a moisturizing cream using a decision support system ranking technique seen from consumer ratings. This research was conducted in the city of Pematangsiantar. Data obtained by observation to several stores to ensure the availability of moisturizing cream, interviews and observations to 250 consumers who were randomly conducted when they made a transaction to purchase a moisturizing cream. In this case, this research needs to be done considering that moisturizer is a drug used to make facial skin feel moist because with skin that feels moist will make women avoid various problems such as blackheads and acne. Keeping facial skin moist and oil free is not an easy thing for users to do. In addition, the number of moisturizing cream products that are currently making many women confused in choosing a moisturizing cream. Therefore researchers used a Decision Support System (SPK) with the ELECTRE algorithm in recommending the selection of a moisturizing cream based on consumer ratings. In this case the researchers used several assessment criteria including: product price (C1), side effects of usage (C2), product quality (C3), customer commitment (C4), customer trust (C5) and usage reaction (C6). While the alternatives used include: Citra Hazeline (A1), Fair & Lovely (A2), Garnier (A3), Olay (A4), Sariayu (A5) and Wardah (A6). The results of the assessment using the ELECTRE method are Fair & Lovely (A2) and Wardah (A6) as the best moisturizing cream recommendations based on consumer choice

Unduhan

 

REFERENSI

K. F. Irnanda, F. N. Arifah, M. R. Raharjo, A. Arifin, and A. P. Windarto, “The selection of Calcium Milk Products that are appropriate for advanced age using PROMETHEE II Algorithm,” J. Phys. Conf. Ser., vol. 1381, no. 1, 2019, doi: 10.1088/1742-6596/1381/1/012070.

S. R. Ningsih, R. Wulansari, D. Hartama, A. P. Windarto, and A. Wanto, “Analysis of PROMETHEE II Method on Selection of Lecturer Community Service Grant Proposals,” J. Phys. Conf. Ser., vol. 1255, no. 1, pp. 1–7, 2019, doi: 10.1088/1742-6596/1255/1/012004.

D. R. Sari, N. Rofiqo, D. Hartama, A. P. Windarto, and A. Wanto, “Analysis of the Factors Causing Lazy Students to Study Using the ELECTRE II Algorithm,” J. Phys. Conf. Ser., vol. 1255, no. 1, 2019, doi: 10.1088/1742-6596/1255/1/012007.

S. Sundari, Karmila, M. N. Fadli, D. Hartama, A. P. Windarto, and A. Wanto, “Decision Support System on Selection of Lecturer Research Grant Proposals using Preferences Selection Index,” J. Phys. Conf. Ser., vol. 1255, no. 1, pp. 1–8, 2019, doi: 10.1088/1742-6596/1255/1/012006.

M. Silmi, E. A. Sarwoko, and Kushartantya, “Sistem Pakar Berbasis Web Dan Mobile Web Untuk Mendiagnosis Penyakit Darah Pada Manusia Dengan Menggunakan Metode Inferensi Forward Chaining,” J. Masy. Inform., vol. 4, no. 7, pp. 31–38, 2011.

A. P. Windarto, “Implementation of Data Mining on Rice Imports by Major Country of Origin Using Algorithm Using K-Means Clustering Method,” Int. J. Artif. Intell. Res., vol. 1, no. 2, pp. 26–33, 2017.

A. P. Windarto, “Penerapan Data Mining Pada Ekspor Buah-Buahan Menurut Negara Tujuan Menggunakan K-Means Clustering,” Techno.COM, vol. 16, no. 4, pp. 348–357, 2017.

B. Supriyadi, A. P. Windarto, T. Soemartono, and Mungad, “Classification of natural disaster prone areas in Indonesia using K-means,” Int. J. Grid Distrib. Comput., vol. 11, no. 8, pp. 87–98, 2018.

Budiharjo, T. Soemartono, A. P. Windarto, and T. Herawan, “Predicting tuition fee payment problem using backpropagation neural network model,” Int. J. Adv. Sci. Technol., vol. 120, pp. 85–96, 2018, doi: 10.14257/ijast.2018.120.07.

A. P. Windarto, M. R. Lubis, and Solikhun, “Implementasi Jst Pada Prediksi Total Laba Rugi Komprehensif Bank Umum Konvensional Dengan Backpropagation,” J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 4, pp. 411–418, 2018, doi: 10.25126/jtiik.201854767.

A. P. Windarto, M. R. Lubis, and Solikhun, “Model Arsitektur Neural Network Dengan Backpropogation Pada Prediksi Total Laba Rugi Komprehensif Bank Umum Konvensional,” Kumpul. J. Ilmu Komput., vol. 5, no. 2, pp. 147–158, 2018.

Sumijan, A. P. Windarto, A. Muhammad, and Budiharjo, “Implementation of Neural Networks in Predicting the Understanding Level of Students Subject,” Int. J. Softw. Eng. Its Appl., vol. 10, no. 10, pp. 189–204, 2016.

Budiharjo, T. Soemartono, A. P. Windarto, and T. Herawan, “Predicting School Participation in Indonesia using Back-Propagation Algorithm Model,” Int. J. Control Autom., vol. 11, no. 11, pp. 57–68, 2018.

A. Wanto, “Analisis Penerapan Fuzzy Inference System (FIS) Dengan Metode Mamdani Pada Sistem Prediksi Mahasiswa Non Aktif (Studi Kasus : AMIK Tunas Bangsa Pematangsiantar),” in Seminar Nasional Inovasi Dan Teknologi Informasi (SNITI) 3, 2016, vol. 3, pp. 393–400, doi: 10.17605/OSF.IO/HGMYC.

S. R. Ningsih, I. S. Damanik, I. Gunawan, and W. Saputra, “Electre Dalam Menentukan Penerima Program Indonesia Pintar (PIP) Melalui Kartu Indonesia Pintar (KIP) (Studi Kasus : Sd Swasta Al – Washliyah Moho Kabupaten Simalungun ),” vol. I, pp. 264–275, 2017.

M. G. Sadewo, A. P. Windarto, and D. Hartama, “Penerapan Datamining Pada Populasi Daging Ayam Ras Pedaging Di Indonesia Berdasarkan Provinsi Menggunakan K-Means Clustering,” InfoTekJar (Jurnal Nas. Inform. dan Teknol. Jaringan), vol. 2, no. 1, pp. 60–67, 2017.

M. N. H. Siregar, “Neural Network Analysis With Backpropogation In Predicting Human Development Index ( HDI ) Component by Regency / City In North Sumatera,” I n t e r n a t i o n a l Jo u r n a l O f I n f o r m a t i o n S yst e m T e c h n o l ogy, vol. 1, no. 1, pp. 22–33, 2017.

A. S. Ahmar et al., “Modeling Data Containing Outliers using ARIMA Additive Outlier (ARIMA-AO),” J. Phys. Conf. Ser., vol. 954, no. 1, 2018, doi: 10.1088/1742-6596/954/1/012010.

A. Putrama and A. P. Windarto, “Analisis dalam menentukan produk bri syariah terbaik berdasarkan dana pihak ketiga menggunakan ahp,” CESS (Journal Comput. Eng. Syst. Sci., vol. 3, no. 1, pp. 60–64, 2018.

P. P. P. A. N. W. F. I. R. H. Zer and A. P. Windarto, “Analisis Pemilihan Rekomendasi Produk Terbaik Prudential Berdasarkan Jenis Asuransi Jiwa Berjangka Untuk Kecelakaan Menggunakan Metode Analytic Hierarchy Process ( Ahp ),” CESS (Journal Comput. Eng. Syst. Sci., vol. 3, no. 1, pp. 78–82, 2018.

A. Darmawan, F. A. Mustika, and P. S. Informatika, “Sistem Pendukung Keputusan Metode Electre Pada Bauran Pemasaran (7P),” vol. 2, no. 2, pp. 184–192, 2017.

W. Fauzi, P. S. Informatika, U. Jenderal, A. Yani, S. P. Keputusan, and R. Masalah, “Sistem pendukung keputusan penerima bantuan dana rutilahu dengan menggunakan metode ELECTRE 1,” vol. 2016, no. Sentika, pp. 18–19, 2016.

M. Mesran, G. Ginting, S. Suginam, and R. Rahim, “Implementation of Elimination and Choice Expressing Reality ( ELECTRE ) Method in Selecting the Best Lecturer (Case Study STMIK BUDI DARMA),” Int. J. Eng. Res. Technol., vol. 6, no. 2, NaN-2017, pp. 141–144, 2017.

M. Mesran, R. Rusiana, and M. Sianturi, “Decision Support System for Termination of Employment using Elimination and Choice Translation Reality Method,” J. Teknol. dan Sist. Komput., vol. 6, no. 4, p. 135, 2018.

P. Sianturi, M. Mesran, P. Ramadhani, and N. W. Al-Hafiz, “SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENERIMA BANTUAN OPERASIONAL PENYELENGARAAN ( BOP ) PAUD ( PENDIDIKAN ANAK USIA DINI ) MENERAPKAN METODE ELECTRE ( STUDI KASUS : DINAS PENDIDIKAN KABUPATEN SIMALUNGUN ),” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. I, no. 1, pp. 20–26, 2017.

I. Saputra, S. I. Sari, and Mesran, “PENERAPAN ELIMINATION AND CHOICE TRANSLATION REALITY ( ELECTRE ) DALAM PENENTUAN KULKAS TERBAIK,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. I, pp. 295–305, 2017.

Cari

Bidang Ilmu

Kategori

Kiriman Terbaru