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Irfadinata, Tata
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Agriculture, Biological Sciences & Forestry Chemistry Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Environmental Science Industrial & Manufacturing Engineering

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Analysis of Fast Food Brand Preferences using Eye Tracking and Human Information Processing Model Murni, Indah Puspa; Irfadinata, Tata; Wijayanto, Titis
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 1: February 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i1.27664

Abstract

Fast food is the most favored food among various age groups, from children to the elderly. There are several well-known fast food brands, such as McDonald's (MCD) and Kentucky Fried Chicken (KFC). Both brands compete in innovating and promoting their products to reach a wide target market and continuously strive to improve the quality of their products. Improved product quality is often achieved through interactions between businesses and consumers via digital marketing. Digital marketing is a medium that can accurately represent consumer needs. One of the methods used in digital marketing is through posters. This is necessary to understand consumers' desires through the thinking process when receiving information from the posters provided. This study involved 20 respondent with an average age of 30.45 ± 8.7 years. These respondent were asked to undergo two data collection processes: eye tracking through a gaze recorder website and questionnaire filling through a provided Google Form. The aim of this research is to determine the fast food brand preferences chosen by respondent based on the information obtained using Eye Tracking and the Human Information Processing Model. The results of this study indicate differences in the outcomes of the dwell time results for each age factor and time spent in AOI did not exhibit significant differences among respondent.
ANALISIS KEGAGALAN DAN MITIGASI RISIKO PADA SISTEM PENDINGIN KAPAL PENANGKAP IKAN MENGGUNAKAN METODE FAILURE MODE AND EFFECTS ANALYSIS (FMEA) Rahmad, Yasmin Humaira; Lubis, Alek Topani; Irfadinata, Tata
JURNAL MEGAPTERA Vol 4, No 2 (2025): Jurnal Megaptera (JMTR) Issue In Progress
Publisher : Politeknik Kelautan dan Perikanan Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/jmtr.v4i2.18172

Abstract

Sistem pendingin (refrigeration system) pada kapal penangkap ikan berperan vital dalam menjaga mutu hasil tangkapan selama pelayaran. Kegagalan sistem pendingin dapat menyebabkan kerusakan produk, penurunan kualitas ikan, serta kerugian ekonomi yang signifikan. Penelitian ini bertujuan untuk mengidentifikasi mode kegagalan potensial dan menentukan prioritas risiko pada mesin pendingin kapal ikan menggunakan metode Failure Mode and Effects Analysis (FMEA). Pendekatan penelitian bersifat deskriptif kuantitatif dengan pengumpulan data melalui observasi lapangan, wawancara teknisi, dan telaah dokumen perawatan. Analisis dilakukan terhadap sepuluh komponen utama, yaitu kompresor, kondensor, evaporator, akumulator, oil separator, katup ekspansi, pipa refrigeran, sensor kontrol, pompa sirkulasi air laut, dan panel listrik. Hasil analisis menunjukkan empat komponen dengan nilai Risk Priority Number (RPN) tertinggi adalah pompa sirkulasi air laut (224), kompresor (189), akumulator (180), dan katup ekspansi (175). Komponen tersebut dikategorikan sebagai risiko tinggi yang memerlukan tindakan mitigasi prioritas berupa perawatan preventif, pemantauan kondisi, serta peningkatan pelatihan awak kapal. Penerapan FMEA terbukti efektif dalam membantu manajemen kapal menentukan strategi risk-based maintenance untuk meningkatkan keandalan sistem pendingin dan menjamin mutu hasil tangkapan selama operasi di laut.
Co-Authors Lubis, Alek Topani Murni, Indah Puspa Rahmad, Yasmin Humaira Titis Wijayanto