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All Journal CESS (Journal of Computer Engineering, System and Science) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Query : Jurnal Sistem Informasi Jurnal Nasional Komputasi dan Teknologi Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Journal of Computer Networks, Architecture and High Performance Computing Syntax: Journal of Software Engineering, Computer Science and Information Technology Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Instal : Jurnal Komputer Jurnal J-PEMAS Jurnal Minfo Polgan (JMP) Prosiding Snastikom Prioritas : Jurnal Pengabdian Kepada Masyarakat Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Pengabdian Masyarakat Berdampak Jurnal Komputer, Informasi dan Teknologi Journal of Information Technology and Systems Engineering
Arie Rafika Dewi
Universitas Harapan Medan
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Social Sciences Transportation Other

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E – ABSENSI PEGAWAI PT TELKOM KOTA MEDAN MENGGUNAKAN METODE FAST (FRAMEWORK FOR THE APPLICATION OF SYSTEM THINKING) Muhammad Einar Harris; Tantri Hidayati Sinaga; Arie Rafika Dewi
Syntax : Journal of Software Engineering, Computer Science and Information Technology Vol 4, No 2 (2023): Desember 2023
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/syntax.v4i2.4162

Abstract

Terdapat permasalahan terkait dengan pengelolaan data absensi pada PT. Telkom Medan dimana pengelolaan data absensi masih ditulis dengan secara manual dengan tanda tangan pada buku absen, jadi belum terkomputerisasi. Berdasarkan permasalahan tersebut tentunya sering menimbulkan kesalahan maupun kecurangan dalam melakukan pendataan absensi dan segi didalam buku absensi pendataan yang mengakibatkan pencatatan dalam buku bisa saja hilang. Sebuah aplikasi absensi yang terkomputerisasi dapat mempermudah pekerjaan seseorang menjadi cepat, efektif dan efisien. Rumusan masalah yaitu untuk membuat sebuah aplikasi absensi yang berbasis website pada PT. Telkom Medan menggunakan metode FAST. Adapun aktor yang terlibat di dalam sistem ini yaitu admin dan user. Masing-masing aktor tersebut memiliki akses dan tugas yang berbeda-beda. Hasil dari penelitian ini yaitu mempermudah admin untuk melakukan pengelolaan data, pencarian data, mengontrol laporan data menjadi lebih baik karena dapat diakses dan dicetak langsung dan mempermudah penyimpanan data.Kata kunci : Metode FAST, Aplikasi, Absensi
Design and Implementation of a Web-Based Printing Service System Using UML and Waterfall: A Case Study of Business Process Optimization Deni Apriadi; Arie Rafika Dewi
Journal of Information Technology and Systems Engineering Vol. 1 No. 1 (2026): June 2026: Information Technology and Systems Engineering
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/jitse.v1i1.1

Abstract

The rapid advancement of information technology has encouraged service-based industries, including printing services, to adopt digital systems to improve operational efficiency and data accuracy. However, many small and medium-sized printing enterprises still rely on manual or semi-digital processes, leading to miscommunication, data inconsistencies, and inefficient workflow management. This study aims to design and implement a web-based printing service system using the Unified Modeling Language (UML) and the Waterfall development model to optimize business processes. A qualitative case study approach was employed, with data collected through observation, interviews, and documentation at CV. Rakha Media Group. The system integrates order management, inventory control, payment processing, and production workflow into a unified platform. System evaluation was conducted using Black-Box and White-Box testing, as well as ISO/IEC 25010 and the System Usability Scale (SUS). The results indicate that the system achieves a 100% functional success rate, a SUS score of 74.1 (good usability), and an overall quality score of 89% based on ISO 25010 evaluation. These findings demonstrate that the proposed system effectively reduces operational errors, improves communication between departments, and enhances overall efficiency. This study contributes both theoretically, by reinforcing the role of integrated information systems in business process optimization, and practically, by providing a scalable solution for digital transformation in printing service enterprises.
Tren Penelitian Dan Struktur Pengetahuan Explainable Artificial Intelligence Untuk Pemodelan Prediktif : Bibliometric Review Eka Rahayu; Boni Oktaviana; Mufida Khairani; Arie Rafika Dewi
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 8 No. 1 (2026): Edisi April
Publisher : Universitas Harapan Medan

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

Abstract

This study aims to analyze research trends and knowledge structures in explainable artificial intelligence (XAI) for predictive modeling through a bibliometric review approach. Data were obtained from Scopus metadata in BIB format exported on June 30, 2026. The initial search strategy yielded 343 documents, which were then filtered based on article document type, English language, and journal source, resulting in 177 articles analyzed for the period 2015-2026. The analysis was conducted using a bibliometric approach through mapping publication productivity, journals and primary authors, influential documents, country contributions, keyword co-occurrence, trend topics, thematic maps, and thematic evolution. The results show that XAI research for predictive modeling experienced a strong acceleration after 2023, indicating a shift in focus from predictive models that are solely accuracy-oriented to models that are transparent, explainable, and accountable. The intellectual structure of this field is interdisciplinary, with contributions from computer science, education, health, energy, environment, geospatial, industry, materials, and engineering. The dominant themes center on machine learning, data mining, forecasting, interpretability, SHAP, LIME, and deep learning, while emerging themes focus on counterfactual explanation, causality-aware forecasting, physics-informed learning, transformers, and graph neural networks. This study identifies five key gaps: method, data, application, theory, and evaluation. The primary contribution of this research is to provide a systematic mapping of the developments, intellectual actors, dominant themes, emerging themes, and future research agendas of XAI to build more accurate, transparent, auditable, and accountable predictive modeling
Co-Authors Adjie Taruna Surya Ahmad Zakir, Ahmad Andini Dwi Putri Ari Pramana Boni Oktaviana Dalimunthe, Yulia Agustina Dedy Irwan Deni Apriadi Divi Handoko Edy Rahman Syahputra Eka Rahayu Fachrul Rozi Lubis Hary Hardiansyah Hasdiana, Hasdiana Lubis, Husni lubis, ihsan M. Fahrul Abdi Mardiah, Mardiah Mhd Zhasnitra Arrafiq Mufida Khairani Muhammad Einar Harris Muhammad Fahrel Abimanyu Mulyahadi Wijaya Duha Nurjamiah Nurjamiah Nurjamiyah, Nurjamiyah Nurul Fitrah Hayati Riri Ferial Rismayanti Rismayanti Septiana Dewi Andriana, Septiana Dewi Siti Sundari Supiyandi Supiyandi Tantri Hidayati Sinaga Wahyu Tri Yanto