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All Journal JITTER (Jurnal Ilmiah Teknologi Informasi Terapan)
Fadly Rizky Dermawan
Widyatama University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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PENGARUH BEBAN KERJA MENTAL TERHADAP KINERJA WAITERS DI KAFE MANDJA PROGO BANDUNG DENGAN METODE NASA-TLX Fadly Rizky Dermawan; Dony Sastra Danuatmaja
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 11 No. 1 (2024)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol11.iss1.2024.2125

Abstract

The aim of this study is to measure and analyze the mental workload experienced by waiters at Kafe Mandja Progo Bandung, using the NASA-TLX method. The café and restaurant industry in Bandung is experiencing rapid growth, and Kafe Mandja on Jalan Progo has become a favorite destination for locals and tourists alike. However, behind this popularity, waiters face significant challenges of high mental workload, which can affect their performance and productivity. The NASA-TLX method, which measures six main dimensions (Mental Demand, Physical Demand, Temporal Demand, Own Performance, Frustration Level, and Effort), is employed to evaluate the mental workload. The research findings indicate that the average Workload Level (WWL) of waiters at Kafe Mandja Progo exceeds the threshold of 80, indicating a high mental workload. Therefore, action is needed to reduce this workload through task redistribution, hiring new staff, and routine monitoring of mental and physical well-being. Implementation of these strategies is expected to enhance work efficiency, reduce fatigue, and improve service quality at Kafe Mandja. This study provides valuable insights for management to design policies that support employee well-being and performance, and contributes to a deeper understanding of workload management in the culinary industry. Keywords : Mental workload, NASA-TLX, Waiters, Waiters performance
EVALUASI VENDOR SEMEN BERDASARKAN METODE ANALYTIC HIERARCHY PROCESS (AHP) PADA PROYEK KONSTRUKSI CV YPP Fadly Rizky Dermawan; Ririn Novitasari Pakpahan; Rafly Fadhilah Arifan; Muchammad Fauzi
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 11 No. 3 (2025)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol11.iss3.2025.2919

Abstract

Vendor selection is a strategic aspect that directly influences the success of operational activities in construction projects, especially in the procurement of primary materials such as cement. This study aims to provide an objective recommendation in determining the best cement vendor for CV YPP using the Analytical Hierarchy Process (AHP) method. Four main criteria analyzed include price, product quality, distribution distance, and compliance with contract specifications. Data were collected through questionnaires from project managers, procurement teams, and logistics personnel, then analyzed using the Super Decisions software. The results show that product quality holds the highest weight in the decision-making process. Vendor A achieved the highest global priority score (0.512), indicating it as the most optimal alternative for cement procurement. This study confirms that the AHP method can provide a systematic and measurable framework to support effective and efficient vendor selection decisions.
EVALUASI EKONOMIS PENGGANTIAN MESIN INDUSTRI DENGAN DYNAMIC PROGRAMMING: APLIKASI PADA CV CTR: ECONOMIC EVALUATION OF INDUSTRIAL MACHINE REPLACEMENT WITH DYNAMIC PROGRAMMING: APPLICATION TO CV CTR Fadly Rizky Dermawan; Dony Sastra Danuatmaja; Oktavian Endiyansyah; Febe Seren; Didit Damur Rochman
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 1 (2025)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss1.2025.3248

Abstract

Spinning machines play a crucial role in the production process. However, over time, increasing machine age and usage frequency lead to a decline in operational efficiency and a rise in operating costs. To optimize asset management, this study performs calculations by considering machine age, maintenance costs, salvage value, and annual operational revenue. This research aims to formulate an optimal replacement strategy for spinning machines at CV CTR using the Dynamic Programming approach. Data were collected through structured interviews and an internal document review, covering both technical and financial information. Calculations were carried out using a backward recursion method over a six-year planning horizon to evaluate various decision scenarios, including whether to retain or replace the machine. The results show that the best strategy involves replacing the machine in the first year, retaining it in the second year, replacing it again in the third year, and retaining it through the beginning of the sixth year. This strategy yields a maximum net income of Rp203,170,000 per year and is considered the most efficient compared to other alternatives. The study concludes that Dynamic Programming is effective in formulating data-driven and measurable machine replacement policies that support long-term operational cost efficiency.
Co-Authors Didit Damur Rochman Dony Sastra Danuatmaja Febe Seren Muchammad Fauzi Oktavian Endiyansyah Rafly Fadhilah Arifan Ririn Novitasari Pakpahan