Design and Development of a Mobile Based Reservation System for Muslims in Medan

  • Rindi Atika Universitas Islam Negeri Sumatera Utara
  • M. Fakhriza Information Systems, Science and Technology, Universitas Islam Negeri Sumatera Utara, Medan
  • Muhamad Alda Information Systems, Science and Technology, Universitas Islam Negeri Sumatera Utara, Medan
Keywords: Reservations, Salon, Muslimah, Mobile

Abstract

Salon Muslimah Dina is a privately owned business offering a variety of beauty treatments specifically for women. Operationally, the salon still uses a manual system, requiring customers to visit in person or contact them via WhatsApp to make reservations or inquire about services. The high volume of inquiries slows down the service process, as the salon must respond to messages individually. Furthermore, the lack of transaction data records often results in long wait times for walk-in customers and inconsistencies in service delivery. Important information such as operating hours, service types, prices, and locations are also not communicated effectively to potential customers. To address these issues, an online reservation system was developed to disseminate information and facilitate service bookings. This system utilizes the FCFS (First Come, First Served) scheduling method, where services are processed in the order of arrival and completed one by one. This method is considered fair because the entire process is handled in the order in which they arrived. The development results demonstrate that the reservation system has been successfully developed, with features that simplify customer bookings without having to visit in person, saving time and money. This system also helps the salon manage service data, schedules, and reservation information more optimally and efficiently.

Downloads

Download data is not yet available.

References

N. A. Ulfah, “Korelasi Rambut Berwarna dengan Stigma Kecantikan Perempuan Urban : Studi Kasus Kota Semarang,” Jurnal Multimedia Dehasen, vol. 3, no. 4, pp. 307–316, 2024, doi: 10.37676/mude.v3i4.6511.

N. Sari and D. Cahyani, “Perancangan Sistem Informasi Monitoring Sertifikat Menggunakan Extreme Programming,” Jurnal Ilmiah Computer Science, vol. 1, no. 1, pp. 1–6, Jul. 2022, doi: 10.58602/jics.v1i1.1.

Ria Cantika Larasati, Christine Dewi, and Henoch Juli Christanto, “ANALISIS SENTIMEN PRODUK KECANTIKAN JENIS MOISTURIZER DI TWITTER MENGGUNAKAN ALGORITMA SUPER VECTOR MACHINE,” Jurnal TEKINKOM, vol. 7, no. 1, pp. 124–134, 2024, doi: 10.37600/tekinkom.v7i1.1243.

N. Dwi Arviana, I. Baidlowi, and M. S. Hidayat, “Pengaruh Strategi Green Marketing, Green Product dan Green Brand terhadap Keputusan Pembelian Produk Kecantikan Ramah Lingkungan,” Journal of Management and Social Sciences, vol. 3, no. 3, pp. 104–117, Aug. 2024, doi: 10.55606/jimas.v3i3.1437.

R. Hardiansyah and S. Munir, “ANALISIS DAN PENGEMBANGAN SISTEM RESERVASI ONLINE UNTUK WISATA BERBASIS WEBSITE STUDI KASUS PULAU HARAPAN KEPULAUAN SERIBU,” Jurnal Informatika Terpadu, vol. 6, no. 1, pp. 45–52, doi: 10.54914/jit.v6i1.268.

R. Kivania, A. Novianti, and R. Firmansyah, “Analisis Implementasi Peranan Sistem Reservasi Pada Bisnis Di Sektor Industri,” TUTURAN: Jurnal Ilmu Komunikasi, Sosial dan Humaniora, vol. 1, no. 1, pp. 14–28, 2023, doi: 10.47861/tuturan.v1i1.118.

M. Nasrani et al., “Perancangan Aplikasi Penjualan Buku Rohani Berbasis Mobile Dengan Metode Rapid Application Development Di Yayasan Lembaga Alkitab Indonesia Perwakilan Medan,” Jurnal Ilmiah Sistem Informasi, vol. 3, no. 2, pp. 22–32, 2023, [Online]. Available: https://ejurnal.methodist.ac.id/index.php/methosisfo/

A. Nazarius, R. Delon Pratama, R. A. Soebagijo, R. Priskila, and V. Handrianus Pranatawijaya, “PENGIMPLEMENTASIAN ALGORITMA GENETIKA DALAM SISTEM PENJADWALAN PRAKTIKUM,” JATI (Jurnal Mahasiswa Teknik Informatika), vol. 8, no. 3, pp. 3237–3243, 2024, doi: 10.36040/jati.v8i3.9656.

Okpatrioka, “Research And Development(R&D)PenelitianYang Inovatif Dalam Pendidikan,” DHARMA ACARIYA NUSANTARA : Jurnal Pendidikan, Bahasa dan Budaya, vol. 1, no. 1, pp. 86–100, Mar. 2023.

A. Ikhwan, S. Hartati, U. Hasanah, and M. Lestari, “Pemanfaatan Teh Bunga Telang (Clitoria Ternatea) sebagai Minuman Kesehatan dan Meningaktkan UMKM di Masa Pandemi Covid 19 kepada Masyarakat di Desa Simonis Kecamatan Aek Natas,” Jurnal Pendidikan Tambusai, vol. 6, pp. 1–7, 2022.

S. D. Pangestu and I. R. I. Astutik, “RANCANGAN APLIKASI KASIR TOKO KELONTONG BERBASIS WEBSITE MENGGUNAKAN METODE WATERFALL,” JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika), vol. 9, no. 1, pp. 125–135, Feb. 2024, doi: 10.29100/jipi.v9i1.4311.

P. M. Purba, A. Cipta Amandha, R. H. Purnama, and A. Ikhwan, “ANALISIS KEAMANAN WEBSITE PRODI SISTEM INFORMASI UINSU MENGGUNAKAN METODE APPLICATION SCANNING,” JINTEKS, vol. 4, no. 4, pp. 325–329, 2022, [Online]. Available: https://si.uinsu.ac.id/

D. Murdiani and M. Sobirin, “PERBANDINGAN METODOLOGI WATERFALL DAN RAD (RAPID APPLICATION DEVELOPMENT) DALAM PENGEMBANGAN SISTEM INFORMASI,” JINTEKS, vol. 4, no. 4, pp. 302–306, 2022, doi: 10.51401/jinteks.v4i4.2008.

E. Listiyan and E. R. Subhiyakto, “Rancang Bangun Sistem Inventory Gudang Menggunakan Metode Waterfall (Studi Kasus Di CV. Aqualux Duspha Abadi Kudus Jawa Tengah),” KONSTELASI: Konvergensi Teknologi dan Sistem Informasi, vol. 1, pp. 74–82, 2021, doi: 10.24002/konstelasi.v1i1.4272.

D. N. Al Husaeni and J. Kusnendar, “Analisis Trend Penelitian Penggunaan Algoritma Penjadwalan serta Faktor yang Mempengaruhinya: Analisis Bibliometrik R dan Pemetaan VOSviewer,” Jurnal Nasional Teknologi dan Sistem Informasi, vol. 11, no. 1, pp. 57–66, May 2025, doi: 10.25077/teknosi.v11i01.2025.57-66.

Candra Pamungkas, Angga Riyandi Saputra, Aditya Ramadhan, Alif Kurniawan, Naufal Abi Pratama, and Wishnu Rindra, “Pernerapan Algoritma Multilevel Feedback Queue (MFQ) & First In First Out (FIFO) pada Studi Kasus di Toko Bunga ARTHA PUSPA,” JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital, vol. 2, no. 2, pp. 192–198, Nov. 2023, doi: 10.55123/jumintal.v2i2.2402.

. Satria Abimayu , Nurdin Bahtiar , Eko Adi Sarwoko (2023). Implementasi Metode Support Vector Machine (SVM) dan t-Distributed Stochastic Neighbor Embedding (t-SNE) untuk Klasifikasi Depresi. Jurnal Masyarakat Informatika ISSN: 2086-4930 Vol. 14, No. 2, 2023 e-ISSN: 2777-0648.

. Shi, L., Wang, X., & Shen, Y. (2020). Research on 3D face recognition method based on LBP and SVM. Optik, 220, 165157.

. Sugiyono. (2021). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta.

. Vadali, S., Deekshitulu, G. V. S. R., & Murthy, J. V. R. (2019). Analysis of liver cancer using data mining SVM algorithm in MATLAB. In Soft Computing for Problem Solving (pp. 163-175). Springer, Singapore

. Vapnik, V. (1998). Statistical Learning Theory. Wiley.

. M. L. Kolling, L. B. Furstenau, M. K. Sott, B. Rabaioli, P. H. Ulmi, N. L. Bragazzi, dan L. P. C. Tedesco, “Data Mining in Healthcare: Applying Strategic Intelligence Techniques to Depict 25 Years of Research Development,” Int. J. Environ. Res. Public Health, vol. 18, no. 6, p. 3099, Mar. 2021, doi:10.3390/ijerph18063099.

. S. Ataallah Muhammed dan A. R. Aziz, “Predictive Modeling in Healthcare: A Survey of Data Mining Techniques,” ICCECS Proc., 2024.

. Bánf, M. (2019). Learning Theory and Support Vector Machines – A Primer. arXiv.

. Blanchard, G., Bousquet, O., & Massart, P. (2008). Statistical performance of support vector machines. arXiv.

Published
2025-12-22
How to Cite
Atika, R., M. Fakhriza, & Muhamad Alda. (2025). Design and Development of a Mobile Based Reservation System for Muslims in Medan. JURNAL TEKNOLOGI DAN OPEN SOURCE, 8(2), 1186 - 1194. https://doi.org/10.36378/jtos.v8i2.5098
Abstract viewed = 0 times
PDF downloaded = 0 times