Pedestrian safety is affected by their environment. Reduced pedestrian awareness is generally due to walking being an activity repeatedly every day. Situation Awareness (SA) measurements can evaluate a pedestrian's ability to handle environmental situations. This refers to the importance of knowing the SA of pedestrians using effective measurement methods. This study aims to evaluate methods of measuring SA based on the effectiveness of its measure in a pedestrian environment by comparing the freeze-probing and real-time-probing techniques. Participants were eleven pedestrians (seven male) with an average age of 22 (SD ± 1.3) years old and walking habits for 15 (SD ± 8.5) minutes/day. Participants watched a video of a pedestrian walking on a treadmill with three speed levels. SA was measured by freeze and realtime-probing in different scenarios. Performance was determined based on verbal protocol. The realtime-probing has better sensitivity, but it has more problems with intrusiveness. Based on the regression results between predictors in the form of SA scores and performance as dependent variables, this probe shows better predictive results at low workload conditions, which corresponds to the characteristics of the pedestrian domain. Based on its advantages, real-time-probing is considered more effective for SA measurement needs in pedestrian environments that tend to be simple, stable, and do not cause high workloads. An effective measurement method will result in an accurate measure of SA score that can be the basis for developing the concept of SA and designing new designs or procedures in the pedestrian environment.

Work Sampling adalah suatu teknik untuk mengobservasi aktivitas kerja dari mesin, proses ataupun pekerja waktu yang ditentukan secara acak. Pada penelitian ini, dilakukan uji sampling pekerjaan di PT. ABC dengan mengamati 2 orang pekerja yang memiliki uraian pekerjaan yang sama, yaitu Administrasi Gudang Umum dan diamati selama 5 hari kerja dengan 40 kali pengamatan/harinya. Tujuan dari penelitian ini adalah mengetahui beban pekerja, kondisi lingkungan kerja dan tingkat produktivitas pekerja tersebut. Penelitian diawali dengan mengklasifikasikan aktivitas pekerja menjadi pekerjaan produktif (A), hambatan tak terhindarkan (B), dan pekerjaan tidak produktif (C). Berdasarkan klasifikasi tersebut, kemudian menghitung JKP (Jam Kerja Produktif) pekerja, untuk kemudian dilanjutkan hingga diperoleh perbandingan produktifitas kedua pekerja, dan menentukan jumlah karyawan yang optimal. Hasil dari penelitian ini menunjukkan bahwa nilai JKP yang diperoleh adalah 1,17. Dengan demikian, jumlah pekerja sebanyak 2 orang dinilai telah optimal dalam mengerjakan keseluruhan beban kerja. Namun mengingat keduanya memiliki beban kerja yang melebihi 100% dan dinyatakan sebagai pekerja superproduktif, maka juga diperlukan perbaikan sistem kerja lebih lanjut, agar beban kerja pekerja tersebut berada dalam batas normal.