Analisis Human Performance pada Car Driving Simulation dengan Penerapan Teknologi Virtual Reality

Satryatama, Muhammad Yafi (2019) Analisis Human Performance pada Car Driving Simulation dengan Penerapan Teknologi Virtual Reality. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penggunaan mobil sangat erat dengan aktivitas manusia sehari-hari. Namun dalam mengemudi dapat terjadi suatu risiko yang merugikan seperti kecelakaan. Kecelakaan tersebut dapat disebabkan banyak hal, pada penelitian ini kecelakaan tersebut dibagi menjadi dua faktor, yakni faktor teknis serta faktor non-teknis. Faktor teknis yakni terkait dengan cara manusia melakukan maneuver pada kendaraan, sedangkan faktor non-teknis terkait dengan pemahaman manusia terhadap fundamental saat mengemudi kendaraan. Pada penelitian ini, digunakan teknologi Virtual Reality atau biasa disebut dengan VR. Teknologi tersebut digunakan untuk melakukan eksperimen terhadap beberapa partisipan, dengan VR dapat memberikan immersive yang lebih tinggi dan simulasi terasa nyata. Pada eksperimen, terdapat beberapa skenario yang menggambarkan kondisi nyata pada saat mengemudi kendaraan di Indonesia. Skenario didapatkan dari hasil kombinasi beberapa faktor yang dapat mempengaruhi mengemudi, seperti faktor cuaca, waktu mengemudi, serta kondisi lalu lintas. Faktor cuaca dibagi menjadi dua yakni cerah dan hujan, waktu mengemudi yakni pagi dan malam, serta kondisi lalu lintas yakni sepi dan ramai. Partisipan yang melakukan simulasi juga dibagi sesuai jenis kelamin serta pengalaman, yaitu moderate atau expert. Selama simulasi, dilakukan penelitian terhadap number of errors, accumulation error, non-technical factors, serta motion sickness score. VR yang digunakan yakni Oculus Rift. Pada hasil penelitian, dengan menggunakan metode multi-variate ANOVA pada aplikasi SPSS 22 didapatkan hasil dengan memperhatikan nilai significance. Bahwa faktor yang dapat mempengaruhi accumulation error yakni hanya faktor pengalaman dari partisipan. Faktor yang dapat mempengaruhi motion sickness score yaitu dari faktor jenis kelamin para partisipan. Untuk pemahaman fundamental selama mengemudi, 68% partisipan sudah paham dari hasil pembagian kuesioner. Lalu ditinjau dari hasil eksperimen, bahwa skenario terbaik yakni dengan cuaca cerah pada malam hari dengan kondisi lalu lintas yang sepi, dikarenakan pada skenario tersebut memiliki number of error paling sedikit diantara skenario lainnya.
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Car became one of the useful things for human everyday activity. However, driving activity can be risky and harmful for the example like an accident. An accident can be caused by many things, from this research the accident cause is divided into two factors, it is technical factors and non-technical factors. Technical factors are related into how to operate the vehicle and do some maneuvers with it. While the non-technical factors are related to how human understand about the fundamental and the regulations while driving a car.
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In this research, was used a technology named virtual reality as known as VR. That technology usually used for doing some experiment for several participant, and it gave higher immersive and the simulation feels real. In the experiment, there were various scenario that describe the real driving condition in Indonesia. That scenario obtained from the result of combination several factors that can affect driving activity like weather, time, and traffic condition. Wheater was divided into two parts, which are fine and rainy, and for time factors was divided into morning and nighttime, and for the last are quiet traffic and crowded traffic. Participant who did the simulation were also divided according to gender and experience, namely moderate and expert. During simulation, research was conducted on number of errors, accumulation error, non-technical factors, and motion sickness score as well. Oculus rift was used for doing this experiment. From the result of the research, using multi-variate ANOVA method with SPSS 22 application, obtained the result by paying attention to significance number. From using that method, the factor that affect accumulation error is experience of participant, and the factor that affect motion sickness score is gender of participant. For the understanding of fundamental while driving of participant is 68% from the result of questionnaire. Reviewed from the experiment results, the best scenario with the smallest number of errors is scenario with fine weather at nighttime with quiet traffic.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	mengemudi, motion sickness, multi-variate ANOVA, virtual reality
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T57.62 Simulation
Divisions:	Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Muhammad Yafi Satryatama
Date Deposited:	21 Jul 2026 14:32
Last Modified:	21 Jul 2026 14:32
URI:	http://repository.its.ac.id/id/eprint/67276

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