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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 205 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 Zulkarnaen; Lalu Puji Indra Kharisma; Hizbullah Hizbullah
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.
SISTEM INFORMASI PARIWISATA TERPADU DI SEKTOR PENDIDIKAN, INDUSTRI, DAN PARIWISATA Novi Rukhviyanti; Asto Purwanto; Putri Adinda
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2025): Desember 2025
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.v6i2.391

Abstract

Pariwisata memiliki potensi besar dalam mendorong pertumbuhan ekonomi, memperkuat identitas budaya, dan menciptakan peluang kolaborasi lintas sektor. Namun, sistem informasi yang ada masih bersifat terfragmentasi dan belum sepenuhnya mendukung keterhubungan antara pendidikan, industri, dan pariwisata. Penelitian ini bertujuan merancang sistem informasi pariwisata berbasis web yang mengintegrasikan ketiga sektor dalam satu ekosistem digital terpadu. Sistem ini tidak hanya berfungsi sebagai penyedia informasi destinasi wisata, tetapi juga sebagai sarana pembelajaran bagi mahasiswa, ruang kolaborasi bagi pelaku usaha kecil dan industri kreatif, serta media promosi dengan jangkauan yang lebih luas. Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu menyajikan layanan terintegrasi dengan dukungan dashboard berbasis data real-time sehingga dapat meningkatkan efisiensi, transparansi, dan kualitas pengambilan keputusan lintas sektor. Integrasi ini juga mendorong partisipasi aktif mahasiswa dalam kegiatan akademik maupun sosial, membuka akses pasar baru bagi pelaku industri, serta memperkuat daya tarik pariwisata. Dengan demikian, sistem informasi terpadu ini diharapkan menjadi solusi strategis untuk menjawab tantangan kolaborasi sektoral sekaligus memperkuat daya saing pariwisata di era digital.
EVALUASI TEKNIK AUGMENTASI DATA UNTUK KLASIFIKASI TUMOR OTAK MENGGUNAKAN CNN PADA CITRA MRI Dede Husen
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 5 No. 2 (2024): Desember 2024
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.v5i2.220

Abstract

Brain tumor classification on Magnetic Resonance Imaging (MRI) scans poses a significant challenge in the fields of radiology and medical technology. To enhance diagnostic accuracy, Convolutional Neural Network (CNN) methods have shown great potential. However, the limitation of having an adequate training dataset remains a major obstacle in developing effective models. This study aims to evaluate the performance of CNN models by applying various data augmentation techniques for brain tumor classification and identifying the most effective augmentation techniques. The augmentation techniques tested include image scaling, random rotation, vertical and horizontal flipping, random brightness adjustments, and combinations of these various techniques. The results indicate that the scaling and vertical and horizontal flipping techniques yield the highest average accuracy of 92.97%, with a maximum accuracy of 100% achieved at the 20th epoch using the vertical and horizontal flipping technique. Thus, it is hoped that the findings of this study can be utilized by other researchers in selecting appropriate augmentation techniques for MRI images.
INTEGRATION OF NINE QUADRANT TALENT MATRIX IN KPI EMPLOYEE TO IMPROVE OUTSOURCED IT SERVICES OF PT. MITRA INTEGRASI INFORMATIKA Ivan Lipotan; Riyanto Jayadi
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2025): Desember 2025
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.v6i2.397

Abstract

PT Mitra Integrasi Informatika (MII), an information technology outsourcing company, faces significant challenges in managing employee performance data effectively. Currently relying on Excel-based tools combined with the Quadrant 9 Talent Matrix, the existing system suffers from vulnerability to fraud, data fragmentation, low efficiency, and high human error risks — all of which ultimately undermine service quality and customer satisfaction. This research evaluates MII's current talent management system and proposes integrating the Sakura Web Application with the 9 Talent Matrix Quadrant Tool as a comprehensive solution. The proposed system delivers centralized data management, enhanced security, improved reliability, and stronger analytical capabilities, enabling managers to more accurately identify, develop, and retain high-potential employees. Findings demonstrate that the integrated system significantly improves talent management quality. By automating administrative processes and eliminating data fragmentation, operational efficiency increases substantially, allowing the company to redirect focus toward innovation and continuous service improvement. Better talent management directly translates into higher service quality, driving greater customer satisfaction. The research recommends several strategic actions, including full implementation of the integrated information system, regular employee training, periodic monitoring and evaluation, strengthened data security protocols, and fostering a data-driven organizational culture. Beyond its practical contributions to PT MII, this study enriches existing literature on talent management and customer service management, offering valuable insights for organizations seeking to modernize their human resource systems. Companies adopting similar integrated approaches can expect measurable improvements in workforce performance, operational effectiveness, and ultimately, sustained competitive advantage in an increasingly demanding global marketplace.

Page 21 of 21 | Total Record : 205

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