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Jurnal Teknimedia: Teknologi Informasi dan Multimedia
Published by STMIK Syaikh Zainuddin Nahdlatul Wathan Anjani
ISSN : 27226263     EISSN : 27226271     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering
JURNAL TEKNIMEDIA : Teknologi Informasi dan Multimedia terbitan berkala ilmiah nasional diterbitkan oleh STMIK Syaikh Zainuddin NW Anjani. Tujuan diterbitkannya Jurnal TEKNIMEDIA adalah untuk memfasilitasi publikasi ilmiah dari hasil penelitian-penelitian di Indonesia serta ikut mendorong peningkatan kualitas dan hasil penelitian untuk akademisi dan peneliti. Jurnal TEKNIMEDIA terbit 2 (dua) kali dalam satu tahun (lima bulan sekali) pada bulan Januari-Mei dan Juni-Desember dengan ruang lingkup bidang ilmu Informatika, Telekomunikasi dan rumpun Komputer Sains.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 202 Documents
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MANAGING IT PROJECTS FOR AI-DRIVEN PERSONAL-ADAPTIVE HOTEL INFORMATION SYSTEMS Surya Eka Priyatna; Hashim Fadzil Ariffin; Ridha Fadillah; Risqiatul Hasanah
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 7 No. 1 (2026): June 2026
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v7i1.415

Abstract

The rapid adoption of artificial intelligence (AI) in the hospitality industry has intensified expectations regarding service efficiency, personalization, and operational performance. Despite growing empirical evidence highlighting the potential benefits of AI-enabled systems, implementation outcomes across hotel contexts remain uneven. This inconsistency suggests that technological capability alone is insufficient to explain project success, underscoring the need to examine AI adoption through the lens of information technology (IT) project management. Accordingly, this study investigates how AI-driven IT projects contribute to operational efficiency in the hospitality sector and identifies managerial and organizational factors that differentiate successful implementations from those that underperform or fail. A structured literature review (SLR) was conducted to synthesize recent empirical and conceptual studies on AI implementation in hotel operations. The analysis focuses on operational performance outcomes across guest-facing and organizational domains, as well as contextual conditions shaping project execution. The results indicate that AI-driven IT projects are commonly associated with improvements in service responsiveness, personalization accuracy, internal workflow efficiency, and resource utilization. However, the magnitude and sustainability of these benefits vary considerably across implementation contexts. An aggregated analysis of operational outcomes reveals that projects achieving balanced improvements across both service and organizational dimensions tend to demonstrate more stable efficiency gains. The findings further highlight leadership commitment, stakeholder engagement, change management practices, and system integration depth as critical determinants of project success. By framing AI adoption as a socio-technical IT project rather than a standalone technological upgrade, this study contributes to the hospitality and information systems literature and offers actionable insights for managers seeking to align AI initiatives with organizational strategy and service delivery objectives
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENERIMA KIP KULIAH STMIK SYAIKH ZAINUDDIN NW zulkarnaen
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 7 No. 1 (2026): June 2026
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v7i1.420

Abstract

KIP Kuliah is a government tuition assistance program for High School graduates who have good academic potential but face economic constraints. STMIK Syaikh Zainuddin NW Anjani faces challenges in the KIP Kuliah recipient selection process due to the large number of applicants and diverse assessment criteria, which risks subjectivity and inaccurate targeting. This study aims to build a Decision Support System (DSS) that can assist the campus in determining KIP Kuliah recipients objectively and efficiently. The method used in this system is the Simple Multi-Attribute Rating Technique (SMART) method, which works by assigning weights to each criterion and calculating the final value based on normalization. The criteria used include parental income, academic/non-academic achievements, home ownership status, parental dependents, and other economic conditions. The result of this research is a web-based application capable of processing applicant data and generating a ranking of potential KIP Kuliah recipients according to predetermined criteria weights. System testing shows that the SMART method is effective in providing transparent and accurate decision recommendations for the management of STMIK Syaikh Zainuddin NW.

Page 21 of 21 | Total Record : 202

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