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Deteksi Indikasi Kelelahan Menggunakan Deep Learning Fudholi, Dhomas Hatta; Nayoan, Royan Abida N; Suyuti, Maghfirah; Rahmadi, Ridho
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.292

Many students experience fatigue due to lack of sleep which can be caused by a psychological conditions or bad habits. Lack of sleep can affect student’s performance academically and causes many illnesses, stress and depression. Students with fatigue causes students to not study well, increasing risk of academic failure and will lead to having low GPA. In this research, fatigue detection is carried out to find out which students are experiencing fatigue. In this study, an annotated video dataset was used with a total of 18 subjects acted drowsy and alert. Fatigue detection is based on mouth movements, therefore mouth annotation is used. Mouth annotation has 2 categories, namely annotation 0 which indicates a closed mouth and annotation 1 which indicates the mouth is yawning. Previous study proves ResNet50 has better performance than other pre-trained models such as AlexNet, Clarifia, VGG-16, and GoogLeNet-19. We also applied image augmentation which is useful for providing new image variations to the model in each epoch by changing the rotation, random shift, and random zoom. ResNet50 model is used to perform binary classification which has two outputs, namely mouth stillness and yawning. The results of the frame classification are evaluated using precision, recall and f1-score. By using ResNet model, the results of the classification of frames labeled 0 or mouth stillness, obtained a precision of 0.72, a recall of 0.88, and an f1-score of 0.79. Meanwhile, the frame classification labeled 1 or yawning has a precision value of 0.85, a recall of 0.65, and an f1-score of 0.74.

Analisis Pola Nilai Akademik Siswa Ma Dengan Non-Boarding Di Pondok Pesantren Tradisional Dengan Menggunakan Formal Concept Analysis Supu, Nisfa Daud; Hidayat, Taufiq; Rahmadi, Ridho
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.296

The success or failure of learning objectives in the learning process is greatly influenced by how the learning process is experienced by students. One of the successes of students in education is shown by their academic achievement. The results of the evaluation of a learning process are usually expressed in quantitative form (numbers) which are often applied in evaluating learning scores or grades. This study focuses on analyzing the academic scores of general and religious subjects of students in Class IX Non-Boarding Madrasah Aliyah. The concept of analysis Formal Concept Analysis (FCA) is used as a data analysis method because it is able to represent data and model it into objects and attributes. In this study the FCA method was used to be able to analyze the academic excellence of students at boarding madrasah schools in general subjects or religious subjects. The research objective was to determine the pattern of success in student academic scores and to determine the model of student achievement academically specifically for general subjects. The results of the analysis carried out on the academic scores of 200 students of the Class IX Non-Boarding Madrasah Aliyah in general and religious subjects, it can be concluded that the average student has good and good enough scores, there are general subjects who also have good and quite good scores in the subject. religious lessons.

Analisis Pola Nilai Akademik Siswa MA Dengan Boarding Di Pondok Pesantren Tradisional Dengan Menggunakan Formal concept analysis Azizah, Nur; Hidayat, Taufiq; Rahmadi, Ridho
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.220

Traditional boarding schools still look very minimal in general (non-religious) learning. This can be caused by the absence of learning that focuses on these general lessons in the pesantren, there is not enough learning for general lessons to implement them. With the aforementioned causes, it will be carried out collecting and analyzing the academic value patterns of MA students with boarding conducted using the formal concept analysis method. The purpose of this study was to get an overview of the academic abilities of MA students in traditional huts, especially for general (non-religious) subjects. The results of the analysis can be used for policy improvement recommendations for boarding schools by increasing the ability of students in general subjects.

Deteksi Indikasi Kelelahan Menggunakan Deep Learning Fudholi, Dhomas Hatta; Nayoan, Royan Abida N; Suyuti, Maghfirah; Rahmadi, Ridho
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Many students experience fatigue due to lack of sleep which can be caused by a psychological conditions or bad habits. Lack of sleep can affect student’s performance academically and causes many illnesses, stress and depression. Students with fatigue causes students to not study well, increasing risk of academic failure and will lead to having low GPA. In this research, fatigue detection is carried out to find out which students are experiencing fatigue. In this study, an annotated video dataset was used with a total of 18 subjects acted drowsy and alert. Fatigue detection is based on mouth movements, therefore mouth annotation is used. Mouth annotation has 2 categories, namely annotation 0 which indicates a closed mouth and annotation 1 which indicates the mouth is yawning. Previous study proves ResNet50 has better performance than other pre-trained models such as AlexNet, Clarifia, VGG-16, and GoogLeNet-19. We also applied image augmentation which is useful for providing new image variations to the model in each epoch by changing the rotation, random shift, and random zoom. ResNet50 model is used to perform binary classification which has two outputs, namely mouth stillness and yawning. The results of the frame classification are evaluated using precision, recall and f1-score. By using ResNet model, the results of the classification of frames labeled 0 or mouth stillness, obtained a precision of 0.72, a recall of 0.88, and an f1-score of 0.79. Meanwhile, the frame classification labeled 1 or yawning has a precision value of 0.85, a recall of 0.65, and an f1-score of 0.74.

Analisis Pola Nilai Akademik Siswa Ma Dengan Non-Boarding Di Pondok Pesantren Tradisional Dengan Menggunakan Formal Concept Analysis Supu, Nisfa Daud; Hidayat, Taufiq; Rahmadi, Ridho
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.296

The success or failure of learning objectives in the learning process is greatly influenced by how the learning process is experienced by students. One of the successes of students in education is shown by their academic achievement. The results of the evaluation of a learning process are usually expressed in quantitative form (numbers) which are often applied in evaluating learning scores or grades. This study focuses on analyzing the academic scores of general and religious subjects of students in Class IX Non-Boarding Madrasah Aliyah. The concept of analysis Formal Concept Analysis (FCA) is used as a data analysis method because it is able to represent data and model it into objects and attributes. In this study the FCA method was used to be able to analyze the academic excellence of students at boarding madrasah schools in general subjects or religious subjects. The research objective was to determine the pattern of success in student academic scores and to determine the model of student achievement academically specifically for general subjects. The results of the analysis carried out on the academic scores of 200 students of the Class IX Non-Boarding Madrasah Aliyah in general and religious subjects, it can be concluded that the average student has good and good enough scores, there are general subjects who also have good and quite good scores in the subject. religious lessons.

Analisis Pola Nilai Akademik Siswa MA Dengan Boarding Di Pondok Pesantren Tradisional Dengan Menggunakan Formal concept analysis Azizah, Nur; Hidayat, Taufiq; Rahmadi, Ridho
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.220

Traditional boarding schools still look very minimal in general (non-religious) learning. This can be caused by the absence of learning that focuses on these general lessons in the pesantren, there is not enough learning for general lessons to implement them. With the aforementioned causes, it will be carried out collecting and analyzing the academic value patterns of MA students with boarding conducted using the formal concept analysis method. The purpose of this study was to get an overview of the academic abilities of MA students in traditional huts, especially for general (non-religious) subjects. The results of the analysis can be used for policy improvement recommendations for boarding schools by increasing the ability of students in general subjects.

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