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All Journal Jurnal Pengembangan Rekayasa dan Teknologi Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika
Annisa Nur Afifah Kusuma Sayekti
Universitas Negeri Surabaya
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Mathematics Mechanical Engineering Transportation

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ANALISIS MATEMATIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN MS GLOW Annisa Nur Afifah Kusuma Sayekti; A’yunin Sofro
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.437

Abstract

In this increasingly advanced era, beauty products are increasing. Not only women, men also enjoy the development of this beauty product. One beauty brand that keeps up with current developments is the MS Glow brand. The MS Glow brand not only offers types of skincare that are suitable for men and women. This brand offers skincare that is licensed by BPOM and Halal MUI. Even though this brand is well known to the general public, it is necessary to identify the factors that influence customers' decisions in purchasing MS Glow products. This can help increase the popularity of MS Glow products. The cultural factor used in this research is the attitude of wanting to own what other people have or just following trends in the surrounding area. From this factor it can be concluded that the cultural factor is a "following" trend. Lifestyle factors in this research are defined as observations/interactions of customers who want to buy products. In this modern lifestyle, many customers always want products that are attractive or because of the quality of the product. According to Joesyiana, one of the most effective and efficient ways of marketing goods or services is through the word-of-mouth communication process using online media. With this marketing method, the brand owner gets the advantage that his product is better recognized by the public
ANALISIS MATEMATIS PENGARUH LOKASI RUMAH TERHADAP HARGA JUAL, LUAS RUMAH DAN JUMLAH KAMAR DENGAN MANOVA Annisa Nur Afifah Kusuma Sayekti; A’yunin Sofro; Danang Ariyanto
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.494

Abstract

A house is a building that functions as a residence or residence and a means of family development (Law No. 4 of 1992). Every community needs a house as a necessity. With so many people needing a place to live, house construction often occurs. As time goes by, many houses have been built. From the number of houses, they can be classified into several groups, one of the classifications is based on the location where the house was built. The classification of houses based on the location where the house was built is classified into 3, namely houses in rural areas, urban areas and suburban areas. Based on this classification, data on houses being sold on the kaggle.com website was taken. From this data, the characteristics of the houses in the 3 groups can be described. The characteristics chosen are selling price, house area, and number of bedrooms. Using this data, carry out analysis using the MANOVA method. The aim of this research is to determine the influence between house location and selling price, house area and number of rooms
Penerapan Metode TOPSIS dengan Jarak Euclidean Terbobot Dalam Menentukan Kesesuaian Pekerjaan Untuk Lulusan Sarjana Annisa Nur Afifah Kusuma Sayekti; Raden Sulaiman
Jurnal Pengembangan Rekayasa dan Teknologi Vol. 8 No. 2 (2024): November (2024)
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/jprt.v8i2.11318

Abstract

Tingkat Pengangguran Terbuka (TPT) lulusan Diploma IV, S1, S2, dan S3 di Indonesia masih cukup tinggi, yaitu sebesar 5,52% pada Februari 2023. Kondisi ini menunjukkan perlunya solusi untuk membantu lulusan, khususnya sarjana sains komputer, mendapatkan pekerjaan yang sesuai. Penelitian ini bertujuan memberikan referensi pekerjaan di bidang teknologi yang sedang banyak dicari dengan menggunakan pendekatan Multi-Criteria Decision-Making (MCDM). Metode yang digunakan adalah TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) dan modifikasinya, Weighted Euclidean Distance TOPSIS (WED-TOPSIS), untuk merangking pekerjaan berdasarkan lima kriteria: keseimbangan kerja dan luar kerja, kompensasi dan keuntungan, peluang karir, penghasilan, serta tingkat kesulitan.
Co-Authors A’yunin Sofro Danang Ariyanto Raden Sulaiman