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All Journal JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Psychocentrum Review INTERNAL (Information System Journal) INFORMASI (Jurnal Informatika dan Sistem Informasi) Jurnal Dimamu Jurnal AbdiMU CONSEN: Indonesian Journal of Community Services and Engagement TERAPUTIK: Jurnal Bimbingan dan Konseling Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal)
Miki Wijana
Universitas Ma'soem
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Physics Social Sciences Other

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Journal : INTERNAL (Information System Journal)

 1 
Analisis Faktor yang Mempengaruhi Minat Masyarakat terhadap Jual Beli Online dengan Menggunakan Technology Acceptance Model Miki Wijana
INTERNAL (Information System Journal) Vol. 3 No. 2 (2020)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v3i2.293

Abstract

The use of information technology aims to improve the performance of public services to be more effective and efficient. But problems arise in the Public, for example in e-commerce users or the Olx.co.id website. Problems that arise include the lack of public desire to use technology and (Perceived Usefulness), the technology cannot be fully used by the Public. This study aims to analyze the factors that affect the level of acceptance of the Olx.co.id online buying and selling website by using the Technology Acceptance Model (TAM) framework as a conceptual model. At the beginning of the study, information work was carried out by collecting data from the questionnaire results from 500 respondents as samples and processing them with AMOS 22 software. Then after being processed as a whole, the writer tries to re-process the existing data, but the difference is the separation of the data based on gender respondents (male and female). Thus, a significant relationship will be obtained and can be used as recommendations for improvement for e-commerce websites.
Rancang Bangun Sistem Informasi Penjualan Barang Berbasis Web di Toko Kelontong Haji Agus Abdul Aziz Permana; Miki Wijana
INTERNAL (Information System Journal) Vol. 6 No. 1 (2023)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sales Information System Design is made to make it easier to manage goods at the Grocery Store, the previous transaction recording process was still using a manual system, making it difficult to know the stock of goods, errors occurred in recording and it was slow in making sales transaction reports. This research was made based on the descriptive method approach in collecting data and information needed to implement objects in a systematic, factual, accurate and in accordance with the facts. As for system design using the OOAD (Object Oriented Analysis Design) method with the UML (Unified Model Language) model. This website is implemented using the PHP programming language (Hypertext Preprocessor) and stored using a MySQL database, Web Server using Xampp and Visual Studio Code. The results showed that Haji Agus Grocery Store can increase the efficiency and productivity of grocery stores in managing transactions, stock of goods and others and can provide information in real time.
Aplikasi Sistem Pendukung Keputusan Menentukan Siswa Terbaik Menggunakan Metode SAW Wijana, Miki; Gumelar, Ryan Cahya; Supriatman, Rian Dwicahya; Muhyidin, Yusuf
INTERNAL (Information System Journal) Vol. 7 No. 1 (2024)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v7i1.973

Abstract

The research conducted aims to develop a website-based decision support system application that can determine the best students using the Simple Additive Weighting (SAW) Method and developed with the Rapid Application Development (RAD) method. The SAW method was chosen for its simplicity and its ability to accommodate various assessment criteria, including academic grades, attendance, extracurricular participation, and student achievement. The RAD method was used in the development of the system to ensure a rapid development cycle and flexibility in adjusting user needs. The results show that the developed application is able to provide objective and transparent assessment, and simplify the process of determining the best students efficiently. The system also improves accessibility and accuracy in managing assessment data, reduces manual errors, and speeds up decision making. User testing and evaluation showed a high level of satisfaction, with recommendations for additional feature development in the future.
Rancang Bangun Aplikasi Sistem Pendukung Keputusan Penilaian Siswa Berprestasi Menggunakan Metode MFEP Wijana, Miki; Ahmad, Ilham Maulana
INTERNAL (Information System Journal) Vol. 8 No. 1 (2025)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v8i1.1450

Abstract

The assessment of outstanding students is an important aspect of education aimed at recognizing academic and non-academic achievements. However, in practice, this process is often time-consuming and prone to subjectivity when conducted manually. Therefore, a decision support system (DSS) is needed to assist in making objective and structured decisions. This study aims to design and develop a decision support system for evaluating outstanding students using the MultiFactor Evaluation Process (MFEP) method. The MFEP method is used to evaluate alternatives (students) based on several assessment criteria with predefined weights. The system was developed using the Agile approach, which includes analysis, design, implementation, and testing stages. The results show that the system can automatically process student assessment data and generate final rankings that match manual calculations. System testing confirmed that all functions performed well and helped make the selection process faster, more accurate, and more transparent.
Co-Authors Abdul Aziz Permana Ahmad, Ilham Maulana Alfaiz Alfaiz Alfaiz Alfaiz Armansyah M. Sarusu Azmatul Khairiyah Sari Budiman, Dheni Apriantsani Fanny Mochammad Abdul Rhozak Gilang Juliansyah Gumelar, Ryan Cahya Hani Mulyani Jalaluddin Jalaluddin Julius, Andre Lukman Dimas Prasetio Muhamad Fauzi Fadilah Muhyidin, Yusuf Nasution, Ade Iskandar Nurlatifah, Sari Rian Dwicahya Supriatman Topan Setiawan Wibowo, Asep Wijana, Miki