Implementasi Fuzzy Tsukamoto Dan Algoritma Genetika Pada Pemilihan Skincare

Abstract
Choosing the right skincare product is an important step in facial skin care, but this process requires the expertise of a specialist, which is relatively slow. The purpose of this research is to optimize the skincare product selection process by creating an expert system using the Matlab application. The method used in making the expert system is the Tsukamoto fuzzy method and genetic algorithms. The Tsukamoto fuzzy inference system helps select skincare by using membership limits according to specialist at clinic. There are four input variables, namely skin moisture, enlarged pores, blackheads, telangiactasis and one output, namely type of skincare package. The Tsukamoto fuzzy membership limit will be optimized with genetic algorithm using different crossover rate (cr) variations. The results showed that Tsukamoto's fuzzy accuracy level was 65.37%. After optimizing the membership limit, the accuracy rate increases by 17.63% to 82,93%. The increase in accuracy shows that the expert system using the two Tsukamoto fuzzy methods and the genetic algorithm is better when compared to using only the Tsukamoto fuzzy method. The optimal parameter in the genetic algorithm is the Crossover rate (cr) 0.4, with a Mutation Rate of 0.01 and the number of generations is 10.
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D. P. C. Aniago, S. Sumijan, and J. Santony, “Akurasi dalam Mendeteksi Penyakit Kulit Menular menggunakan gabungan Metode Forward Chaining dengan Certainty Factor,” Jurnal Teknologi Dan Sistem Informasi Bisnis, vol. 2, no. 2, 2020, doi: 10.47233/jteksis.v2i2.145.
V. Ariandi, F. Hadi, and A. S. Lusinia, “Sistem Pakar Untuk Mendiagnosa Penyakit Dada Dengan Menggunakan Metode Naives Bayes Dan Bahasa Pemrograman PHP Dab MySql,” Jurnal Teknologi Dan Sistem Informasi Bisnis, vol. 4, no. 1, pp. 35–46, 2022.
M. E. T. Butarbutar and A. Y. Chaerunisaa, “Peran Pelembab dalam Mengatasi Kondisi Kulit Kering,” Majalah Farmasetika, vol. 6, no. 1, 2020, doi: 10.24198/mfarmasetika.v6i1.28740.
J. M. Sukisman and L. S. S. Utami, “Perlawanan Stigma Warna Kulit terhadap Standar Kecantikan Perempuan Melalui Iklan,” Koneksi, vol. 5, no. 1, p. 67, Mar. 2021, doi: 10.24912/kn.v5i1.10150.
A. Rahmawaty, “Peran Perawatan Kulit (Skincare) Yang Dapat Merawat Atau Merusak Skin Barrier,” Berkala Ilmiah Mahasiswa Farmasi Indonesia (BIMFI), vol. 7, no. 1, 2020, doi: 10.48177/bimfi.v7i1.32.
R. Pebrianto, S. N. Nugraha, and W. Gata, “Perancangan Sistem Pakar Penentuan Jenis Kulit Wajah Menggunakan Metode Certainty Factor,” IJCIT (Indonesian Journal on Computer and Information Technology), vol. 5, no. 1, 2020, doi: 10.31294/ijcit.v5i1.7408.
K. Rodan, K. Fields, G. Majewski, and T. Falla, “Skincare Bootcamp: The Evolving Role of Skincare,” Plast Reconstr Surg Glob Open, vol. 4, 2016, doi: 10.1097/GOX.0000000000001152.
E. Markiewicz and O. C. Idowu, “Personalized skincare: From molecular basis to clinical and commercial application,” Clinical, Cosmetic and Investigational Dermatology, vol. 11. 2018. doi: 10.2147/CCID.S163799.
D. M. Efendi, “Sistem Pakar Diagnosa Penyakit Kulit Wajah Dengan Metode Certainty Factor Pada Klinik Skin Rachel,” Jurnal Informasi dan Komputer, vol. 8, no. 1, 2020, doi: 10.35959/jik.v8i1.174.
C. Theerawattanawit, P. Phaiyarin, S. Wanichwecharungruang, N. Noppakun, P. Asawanonda, and C. Kumtornrut, “The Efficacy and Safety of Chitosan on Facial Skin Sebum,” Skin Pharmacol Physiol, vol. 35, no. 1, 2022, doi: 10.1159/000517965.
F. Fontao, M. von Engelbrechten, C. Seilaz, O. Sorg, and J. H. Saurat, “Microcomedones in non-lesional acne prone skin New orientations on comedogenesis and its prevention,” Journal of the European Academy of Dermatology and Venereology, vol. 34, no. 2, 2020, doi: 10.1111/jdv.15926.
P. Mawardi, I. Ardiani, P. P. Primisawitri, and A. Nareswari, “Dual role of cutibacterium acnes in acne vulgaris pathophysiology,” Bali Medical Journal, vol. 10, no. 2, 2021, doi: 10.15562/bmj.v10i2.2358.
L. Gao et al., “A retrospective analysis for facial telangiectasia treatment using pulsed dye laser and intense pulsed light configured with different wavelength bands,” J Cosmet Dermatol, vol. 19, no. 1, 2020, doi: 10.1111/jocd.13179.
M. Atefeh, “A microneedling device for the treatment of spider vein: A case report,” J Cosmet Dermatol, vol. 20, no. 8, 2021, doi: 10.1111/jocd.13858.
J. N. Rochma, “Pengaruh Penggunaan Masker Buah Tin (Ficus caric) Terhadap Peningkatan Kelembapan Kulit Wajah Kering,” Program Studi Pendidikan Tata Rias Fakultas Teknik Universitas Negeri Jakarta, 2016.
V. Maarif, H. M. Nur, and T. A. Septianisa, “Sistem Pendukung Keputusan Pemilihan Skincare yang Sesuai Dengan Jenis Kulit Wajah Menggunakan Logika Fuzzy,” EVOLUSI : Jurnal Sains dan Manajemen, vol. 7, no. 2, Sep. 2019, doi: 10.31294/evolusi.v7i2.6755.
X. Wang et al., “Gender-related characterization of sensitive skin in normal young Chinese,” J Cosmet Dermatol, vol. 19, no. 5, 2020, doi: 10.1111/jocd.13123.
D. Kurnianingtyas, W. F. Mahmudy, and A. W. Widodo, “Optimasi Derajat Keanggotaan Fuzzy Tsukamoto Menggunakan Algoritma Genetika Untuk Diagnosis Penyakit Sapi Potong,” Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 4, no. 1, 2017, doi: 10.25126/jtiik.201741294.
I. E. Mandriana, C. Dewi, and M. T. Furqon, “Optimasi Fungsi Keanggotaan Fuzzy Tsukamoto menggunakan Algoritma Genetika untuk Diagnosis Autisme pada Anak,” Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 1, no. 11, pp. 1395–1405, Nov. 2017.
F. Insani, S. Fadilah, and S. Sanjaya, “Prediksi Cuaca Pekanbaru Menggunakan Fuzzy Tsukamoto dan Algoritma Genetika,” Seminar Nasional Teknologi Informasi, Komunikasi dan Industri (SNTIKI), pp. 255–262, 2020.
A. Fitri and W. F. Mahmudy, “Optimasi Keanggotaan Fuzzy Tsukamoto Menggunakan Algoritma Genetika pada Penentuan Prioritas Penerima Zakat,” Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 1, no. 2, pp. 125–138, 2017.
E. Nur Azizah, I. Cholissodin, and W. Firdaus Mahmudy, “Optimasi Fungsi Keanggotaan Fuzzy Tsukamoto Menggunakan Algoritma Genetika Untuk Penentuan Harga Jual Rumah,” Journal of Enviromental Engineering and Sustainable Technology, vol. 2, no. 2, pp. 79–82, Nov. 2015, doi: 10.21776/ub.jeest.2015.002.02.3.
B. A. Restuputri, W. F. Mahmudy, and I. Cholissodin, “Optimasi Fungsi Keanggotaan Fuzzy Tsukamoto Dua Tahap Menggunakan Algoritma Genetika Pada Pemilihan Calon Penerima Beasiswa dan BBP-PPA ( Studi Kasus : PTIIK Universitas Brawijaya Malang ),” DORO: Repository Jurnal Mahasiswa PTIIK Universitas Brawijaya, vol. 5, no. 15, pp. 1–10, 2015.
N. Z. Ilahiyah, D. E. Ratnawati, and C. Dewi, “Optimasi Batasan Fungsi Keanggotaan Fuzzy Tsukamoto Menggunakan Algoritma Genetika Untuk Kelayakan Pemberian Kredit (Studi Kasus: PD. BPR. Bank Daerah Lamongan),” Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 2, no. 9, pp. 2957–2964, 2018, [Online]. Available: http://j-ptiik.ub.ac.id
M. Mudrikatussalamah, C. Dewi, and B. Rahayudi, “Optimasi Fungsi Keanggotaan Fuzzy Menggunakan Algoritma Genetika Dalam Penentuan Kebutuhan Gizi Bayi MPASI,” Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 2, no. 7, pp. 2706–2712, 2018, [Online]. Available: http://j-ptiik.ub.ac.id
F. A. Fathurrachman, F. A. Bachtiar, and I. Cholissodin, “Optimasi Fungsi Keanggotaan Fuzzy Tsukamoto dengan Algoritma Genetika pada Peramalan Harga Emas untuk Stock Trading,” Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 3, no. 4, pp. 3939–3948, 2019.
A. S. Sukamto and W. Setiawan, “Peramalan Saham Berdasarkan Data Masa Lalu dengan Pendekatan Fuzzy Time Series,” Jurnal Edukasi dan Penelitian Informatika (JEPIN), vol. 4, no. 2, 2018, doi: 10.26418/jp.v4i2.29469.
N. S. Pasaribu, J. T. Hardinata, and H. Qurniawan, “Application of The Fuzzy Tsukamoto Method in Determining Household Industry Products,” Journal of Artificial Intelligence and Engineering Applications, vol. 1, no. 1, pp. 71–71, 2021.
S. Widaningsih, “Analisis Perbandingan Metode Fuzzy Tsukamoto, Mamdani dan Sugeno dalam Pengambilan Keputusan Penentuan Jumlah Distribusi Raskin di Bulog Sub. Divisi Regional (Divre) Cianjur,” Infoman’s, vol. 11, no. 1, 2017, doi: 10.33481/infomans.v11i1.21.
H. B. Guritno, T. Haryanto, A. Kustiyo, and I. Hermadi, “Optimasi Parameter pada Fast Correlation Based Filter,” Jurnal Edukasi dan Penelitian Pendidikan, vol. 4, no. 2, 2018.
A. W. Zebua, “Pengaruh Panjang Bentang Terhadap Ukuran Penampang Optimum Beton Prategang Pada Balok Sederhana Dengan Menggunakan Algoritma Genetika,” Jurnal Teknik Sipil, vol. 7, no. 1, 2018, doi: 10.24815/jts.v7i1.10481.
S. Arikunto, Prosedur Penelitian Suatu Pendekatan Praktek. Jakarta: Rineka Cipta, 2010.
Sahrun, N., & Sularno, S. (2023). Rancang Bangun Sistem Informasi Geografis Menemukan Lokasi Dokter Hewan Berbasis Android. Jurnal Teknologi Dan Sistem Informasi Bisnis, 5(1), 21-32.

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