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Eko Darmanto
Universitas Muria Kudus
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Journal : INOVTEK Polbeng - Seri Informatika

 1 
Design and Development of a Make-Up Service Portal in Kudus Regency Using the Customer Satisfaction Index Method Umi Wahidasiana; Eko Darmanto; Arif Setiawan
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/zga6c449

Abstract

Cosmetology services play an important role in enhancing an individual's self-confidence. In Kudus Regency, many make-up service providers still rely on manual ordering methods which are prone to recording errors, limited information on service availability, and miscommunication between customers and service providers. This condition hampers operational efficiency and reduces the level of customer satisfaction. This research aims to develop a digital-based make-up service portal to improve service quality and customer satisfaction, which consists of the stages of needs analysis, system design, implementation, testing and maintenance The research method used is qualitative research, data is collected through in-depth interviews with customers, which consists of the stages of needs analysis, system design, implementation, testing and maintenance. The system developed has main features such as online ordering, service catalogues, as well as CSI-based customer satisfaction evaluations that measure aspects of price, service quality and user experience. Evaluation using the CSI method shows a customer satisfaction level of 88% with 300 respondent, which indicates that this system is effective in improving user experience and operational efficiency of service providers. In conclusion, the development of this digital-based make-up service portal has succeeded in increasing customer satisfaction and the competitiveness of make-up service providers in Kudus Regency. Further development recommendations are integration with digital payment systems and the use of artificial intelligence technology for more personalized service recommendations.  
Co-Authors - Supriyono Abrori, Faiz Ahmad Jumanto Akh Sokhibi Akhmad Zidni Hudaya Andrean Maulana Aprilia Damayanti Ardiansyah Rizki Arif Setiawan Aynullutfihana, Nanda Bayu Hidayat, Hilmi Bekti Setiya Ningsih Belia, Gones Bellachintya Reira Christata Cahyaningtiyas, Pratiwi Catur Iswahyudi Chalim, Noor Dhona, Chalim Riza Diana Laily Fithri Dina Tauhida Edhy Sutanta (Jurusan Teknik Informatika IST AKPRIND Yogyakarta) Eka Wakhyu Agustina Ema Utami Fajar Nugraha Fajar Nugraha Galih Adi Widodo Gunawan Setiadi Hera Setiawan Iftah Lana Maula Iskhak, Zaki Maulana Kasem Premprayoon Khasan, Nur Akhmad Kurniawan, Muhammad David Kusumawardhana, Muhammad Anton Laily Fithri, Diana Lisa Purwanti Lukito, Aji Maulana, Andrean Maulana, Muhammad Hanif Mochammad Imron Awalludin Muhammad Arifin Muhammad Azhari Muhammad David Kurniawan Muhammad Khanifan Muzid, Syaiful Nabila Pramesti Evykasari Noor Latifah Nughraha, Fajar Nurur Rosidah Nurwijayanti Nuzul Zainul Wildan Prasasti, Gayung Prathama, Rizqi Aufa Eka Pratomo Setiaji Putri Kurnia Handayani Qoaruddin Qomaruddin R Rhoedy Setiawan Rangga Setyanto Reformasiyanto, Mohammad Humam Azka Rina Andarwati Rizal Maulana Rizal Maulana, Rizal Romyati Sari, Apriliana Secha, Maulidin Nur Setyowati Setyowati Siti Nur Khomsah Slamet Khoeron Sri Hartati Sri Utaminingsih Sri Utaminingsih Sumaji SUPRIYONO Supriyono Supriyono Susanto, Gito Aru Susanto, Gito Aru Suwandi Suwandi Suwanto Raharjo Syafiul Muzid Tomya, Stella Putri Toto Rusianto Umi Wahidasiana Verry Budi Hartanto Vikha Indira Asri Yudie Irawan Yuniarti, Siska