Hasil Pencarian  ::  Simpan CSV :: Kembali

"ABSTRAK

Untuk menunjang pemantauan konsentrasi manusia, perlu adanya pemahaman mengenai respon sinyal dari EEG terhadap dua kondisi manusia ya itu saat sedang konsentrasi penuh dan konsentrasi tidak penuh (adanya distraksi). Dalam mengolah data sinyal EEG tersebut, dibutuhkan metode algoritma dan klasifikasi sinyal untuk mendapatkan hasil data sinyal dari dua kondisi tersebut. Pada penelitian ini akan dijelaskan tentang sistem perancangan pendeteksian konsentrasi manusia berdasarkan sinyal EEG. Metode yang digunakan adalah Fast Fourier Transform (FFT) dan Discrete Wavelet Transform (DWT) sedangkan dalam algoritma klasifikasinya menggunakan Support Vector Machine (SVM). Hasil yang telah didapatkan dalam pengujian ini adalah SVM lebih mampu untuk mengklasifikasikan sistem dengan kernel RBF menggunakan 30% holdout validation. Keakurasian dari sistem ini adalah 91% pada metode DWT dan 72% pada metode FFT. Sehingga, dari kedua ekstraksi metode FFT dan DWT, yang memiliki nilai ekstraksi terbaik adalah DWT.

---

ABSTRACTTo support the monitoring focused human concentration, there is a need to understand the response of signals from EEG in two conditions which are when human is in full concentration and less concentration (presence of distraction).  To process those EEG signal data, an algorithm method and classification is needed to get the results of signal data from these two conditions In this research, the system of detecting design of human concentration levels based on EEG signals will be explained. The used methods are Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT) while the classification algorithm uses Support Vector Machine (SVM).  The result of this research shows that by using SVM, a much more reliable result is achieved when a kernel RBF is used with 30% holdout validation. The result of the aforementioned method yields a 91% accuracy with DWT method and a 72% accuracy with FFT. 

 

"

"This book introduces the reader to the subject-matter coverage of human factors and provides practical and pragmatic advice to assist engineers in designing interactive systems that are safer, more secure and easier to use - thereby reducing accidents due to human error, increasing system integrity and enabling more efficient process operations. The book discusses human factors integration methodology and reviews the issues that underpin consideration of key topics such as human error, automation and human reliability assessment. There are also design considerations including control room and interface design and acceptance and verification considerations."

"PT. X merupakan perusahaan penyebrangan dan pelabuhan besar yang melayani lebih dari 300 lintasan di Indonesia. Meskipun PT. X telah mengembangkan prosedur keselamatan evakuasi keadaan darurat di kapal, risiko terjadinya human error masih belum dapat sepenuhnya dicegah dan dikendalikan. Penelitian ini membahas mengenai Human Reliability Assessment dengan tujuan untuk mengetahui, menganalisis, dan mengkuantifikasikan kemungkinan human error pada Prosedur Penanganan Keadaan Darurat: Meninggalkan Kapal di PT. X dengan menggunakan model Human Error Assessment and Reduction Technique (HEART) dan didukung teori Generic Error Modelling System (GEMS). Hasil penelitian menunjukkan bahwa sub tugas 4.5 “terapung dengan posisi telentang” merukapan tugas dengan nilai HEP tertinggi dengan nilai sebesar 2,21E-01. Selain itu, Sub tugas 3.1 “menurunkan life boat” (1,27E-02), 3.3 “menyiapkan life raft yang terapung ke sisi lambung kapal” (1,75E-02) dan 5.2 “mendayung life raft menjauh dari sisi kapal” ditemukan sebagai 3 tugas yang sepenuhnya dikerjakan oleh ABK dengan nilai HEP tertinggi. Beberapa jenis kesalahan manusia yang mungkin terjadi ditemukan pada pelaksanaan Prosedur Penanganan Keadaan Darurat: Meninggalkan Kapal di PT. X yaitu lapse (32%), slip (29%), knowledge-based mistake (20%), ruled-based mistake (10%), situational violation (5%), routine violation (2%), dan optimising violation (2%). Pencegahan dan pengendalian kesalahan manusia disarankan untuk dilakukan dengan memerhatikan nominal HEP tertinggi serta jenis-jenis human error yang ditemukan dalam penelitian ini.

---

PT. X is a large ferry and port company that serves more than 300 routes in Indonesia. Although PT. X has developed emergency evacuation safety procedures on board, the risk of human error still cannot be completely eliminated and controlled. This study discusses Human Reliability Assessment with the aim of knowing, analyzing, and quantifying the possibility of human error in the Emergency Handling Procedure: Abandoning Ship at PT. X using the Human Error Assessment and Reduction Technique (HEART) model and supported by the Generic Error Modeling System (GEMS) theory. The results of the study indicate that sub-task 4.5 "floating in a supine position" is the task with the highest HEP value of 2.21E-01. In addition, Sub-task 3.1 "lowering the life boat" (1.27E-02), 3.3 "preparing the floating life raft to the side of the ship's hull" (1.75E-02), and 5.2 “rowing the life raft away from the side of the ship” are 3 tasks that are completely carried out by the crew with the highest HEP value. Several types of human errors were found that may occur in the implementation of Emergency Handling Procedures: Abandoning Ship at PT. X are lapse (32%), slip (29%), knowledge-based mistake (20%), ruled-based mistake (10%), situational violation (5%), routine violation (2%), and optimizing violation (2%). Prevention and control of human errors are recommended to be carried out with careful attention to the highest HEP nominal and the types of human errors found in this study."