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All Journal Jurnal Ilmiah Sistem Informasi An Nafi’; Multidisciplinary Science Tamilis Synex: Multidimensional Collaboration
Putra Hidayatullah
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Perancangan Desain User Interface dan User Experience Web APE Barbershop Menggunakan Figma Dengan Metode Human Centered Design (HCD) & Pengujian System Usability Scale (SUS) Putra Hidayatullah
Tamilis Synex: Multidimensional Collaboration SPECIAL ISSUE Tamilis Synex: Multidimensional Collaboration 2025
Publisher : CV Edujavare Publishing

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Abstract

The development of digital technology requires service businesses such as barbershops to have an attractive, informative, and easily accessible online platform for users. A well-designed user interface (UI) and user experience (UX) play an important role in creating a first impression, increasing customer satisfaction, and loyalty. This study aims to design the UI/UX of the Ape Barbershop profile website using the Human Centered Design (HCD) approach and conduct usability testing with the System Usability Scale (SUS). The HCD method applied consists of three main stages, namely Inspiration, Ideation, and Implementation. At the Inspiration stage, observations and questionnaires are distributed to prospective users to explore the needs, preferences, and obstacles experienced when accessing barbershop information online. The Ideation stage produces a design of interaction flows, information structures, and UI elements based on the results of the user needs analysis. Furthermore, the Implementation stage realizes the website prototype and tests it on users using the SUS method. The test results show that the final design has a good level of usability with a SUS score of 85%, which is included in the "Excellent" category. This shows that the HCD approach is able to produce website designs that are in accordance with user needs and preferences. This study concludes that the application of HCD and evaluation using SUS is an effective combination in producing optimal UI/UX designs for web-based services such as barbershops.
IMPLEMENTASI SISTEM ANTRIAN BARBERSHOP BERBASIS WE Putra hidayatullah; Lahallo, Jim; Hidayatullah, Putra; Lahallo , Jim
Jurnal Ilmiah Sistem Informasi Vol. 4 No. 3 (2025): November: Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/fd28fs64

Abstract

Proses antrean manual di barbershop seperti APE Vabercaf sering menimbulkan ketidakteraturan, antrian tidak tertata, dan kesulitan manajemen dalam memantau layanan. Penelitian ini bertujuan mengembangkan sistem antrean digital berbasis web untuk meningkatkan efisiensi pelayanan dan kenyamanan pelanggan. Sistem dibangun menggunakan framework CodeIgniter 4 dan basis data MySQL, serta dikembangkan melalui metode Waterfall yang mencakup analisis kebutuhan, desain, implementasi, dan pengujian. Fitur utama sistem meliputi nomor antrean otomatis, pemanggilan digital berbasis visual dan suara, pencatatan transaksi, pencetakan struk menggunakan printer thermal POS, serta laporan transaksi harian dan bulanan. Sistem juga mendukung dua peran pengguna, yaitu owner dan staff, dengan hak akses berbeda. Hasil pengujian menggunakan metode Blackbox menunjukkan bahwa seluruh fungsi sistem berjalan sesuai kebutuhan pengguna. Sistem ini mampu menggantikan proses antrean manual dengan sistem digital yang lebih tertib, cepat, dan informatif, serta membantu pemilik usaha dalam pengambilan keputusan berbasis data. Dengan demikian, sistem ini menjadi solusi tepat untuk modernisasi layanan antrean di sektor barbershop.
Implementasi Metode Teorema Bayes Pada Diagnosa Penyakit Gigi Muhammad Risman; Fiqram putra pratama; Gonzales H. Marlissa; Hardiana; Lucilla T. Ledious Monika; Astika Ramadhani; Rexci Trido Ngaderman7; Putra Hidayatullah; Patmawati Hasan
An Nafi': Multidisciplinary Science Vol. 2 No. 4 (2025): An Nafi’
Publisher : CV Edujavare Publishing

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Abstract

This study implements the Bayes Theorem method to diagnose dental diseases based on patient-reported symptoms. Bayes Theorem operates by calculating the probability of a disease as a hypothesis based on available evidence in the form of observed symptoms. In this study, patient-reported symptoms are analyzed probabilistically to diagnose several types of dental diseases, namely gingivitis, dental caries, periodontal abscess, and pulpitis. The system utilizes conditional probability values between symptoms and diseases obtained from expert knowledge to calculate the posterior probability of each disease. The system is developed using the Python programming language and consists of a knowledge base containing symptom data, disease types, and probability values, as well as an inference engine that applies Bayes Theorem calculations. Research data were collected through interviews with dentists at Dian Farma Clinic, South Jayapura. The results indicate that the Bayes Theorem method is effective in supporting the early diagnosis of dental diseases in an objective and measurable manner; however, the diagnostic results still require further confirmation by professional medical personnel.
Co-Authors Astika Ramadhani Fiqram Putra Pratama Gonzales H. Marlissa hardiana Hidayatullah, Putra Lahallo , Jim Lahallo, Jim Lucilla T. Ledious Monika Muhammad Risman Rexci Trido Ngaderman7