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Purwanto .
Fakultas Kedokteran Gigi, Universitas Jember
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Industrial & Manufacturing Engineering Public Health Other

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Journal : Journal Of Informatics And Busisnes

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Aplikasi Pemesanan Makeup Artist Berbasis Mobile Pada Anida Makeup Anida Hasna Nur Fadhila; Haryanti, Tri; ., Purwanto
Journal Of Informatics And Busisnes Vol. 3 No. 3 (2025): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i3.3545

Abstract

The Makeup service industry is growing in line with increasing customer demand for practical and fast services. However, at Anida Makeup, the ordering process is still manual, with PDF price lists sent via private message, making it inefficient and making it difficult to update information. This study aims to develop a mobile-based Makeup artist ordering application that can facilitate customers in obtaining service information and placing orders directly. The research method uses a qualitative and quantitative approach (Mixed Methods). Qualitative data collection includes observation, interviews, documentation, and literature studies as the primary data collection method. The quantitative approach focuses solely on questionnaire data collection using a Likert scale. The application was developed using a prototyping model with stages of needs analysis, design using Unified Modeling Language (UML), implementation using Flutter, Dart, and MySQL, and supported by XAMPP and Visual Studio Code software. Testing was conducted using blackbox and questionnaires. The test results showed an average score of 90% from customers and 90% from administrators. This indicates that the system is capable of improving the efficiency of the Makeup ordering process for users. Furthermore, the system also helps business owners improve operational efficiency and manage order data in a more structured manner.
Prediksi Kelulusan Siswa Berdasarkan Data Akademik Dan Keaktifan Menggunakan Algoritma Random Forest Berbasis Streamlit Eko Wendiawan; ., Purwanto; Ulkhaq, Muh Zia
Journal Of Informatics And Busisnes Vol. 3 No. 3 (2025): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i3.3569

Abstract

Education holds a central position in the development of citizens and the nation. According to the Ministry of Education and Culture (KEMENDIKBUD), the graduation rate at vocational high schools (SMK) is only 65%. This study was conducted at SMK Ma’arif NU 01 Karangkobar with the objective of implementing an early student graduation prediction system based on academic performance and engagement data. A Streamlit-based Random Forest algorithm was applied to enable schools to anticipate students at risk of not graduating on time and to reduce cases of conditional graduation. The research employed a Research and Development (R&D) methodology with a quantitative descriptive and applied experimental approach. Data were collected through interviews, observations, questionnaires, and literature review. The system was developed using the Waterfall model through the stages of Requirement Analysis, System Design, Implementation, Integration, and Testing. System design involved Data Flow Diagrams (DFD) at Levels 0–3 and Entity Relationship Diagrams (ERD), while the implementation was carried out using the Python programming language, the Streamlit framework, and libraries such as pandas, numpy, and scikit-learn. The user interface was designed using Figma, and diagrams were constructed with Draw.io. Evaluation results based on the Likert scale showed that the system achieved an overall satisfaction rate of 93% from a total of 35 respondents, consisting of 29 student respondents with 93% satisfaction and 6 teacher respondents with 95% satisfaction. This achievement falls into the “very good” category. These findings indicate that the graduation prediction system can effectively support schools in taking anticipatory measures and providing more targeted student guidance, thereby potentially improving the effectiveness of graduation management at the vocational high school (SMK) level.
Co-Authors ., Sufriadin A. Sofyan Aditya, Dzulkifli Agung Nurmansyah Alvionita, A. Febbi Anida Hasna Nur Fadhila Aryanti Virtanti Anas Budi Wahyono, Budi Eko Wendiawan Gunawan, Syahrul Hatta, Asta Arjunoarwan I. Istadi Intan Paramita Haty Irzal Nur, Irzal Kohar Sulistyadi Kus Isnawati, Kus Muhammad Ramli Nani Harihastuti, Nani Nugroho B Sukamdani Nurhayati . Qaidahiyani, N. F. Rini Novrianti Sutardjo Tui Rizki Amalia Rusnandari Retno Cahyani Salman Faris Insani, Salman Faris Salman Faris Isnaini, Salman Faris Sri Wahyu Agustiningsih, Sri Wahyu Sri Widodo Sudharto P. Hadi, Sudharto Sunarto . Sutanto . Tri Haryanti Ulkhaq, Muh Zia