Rancangan Teknis Penambangan Batubara Di Blok Selatan PT. Dizamatra Powerindo Lahat Sumatera Selatan

Kegiatan eksploitasi didaerah Izin Usaha Pertambangannya, dengan luas wilayah Izin Usaha Pertambangan Eksploitasi 971 Ha. Selanjutnya Perusahaan akan melakukan pembukaan pit baru diarea yang masih terdapat penyebaran batubara pada wilayah izin USAha pertambangan yaitu di Blok Selatan PT. Dizamatra Powerindo, untuk itu diperlukan kegiatan permodelan, perhitungan cadangan dan rancangan penambangan sehingga akan dihasilkan rancangan penambangan yang terjadwal dan kedepannya akan digunakan pada perencanaan tambang berikutnya. Pemodelan geologi lapisan batubara, menghasilkan 2 seam batubara, yaitu seam A dengan arah umum penyebaran batubara yaitu relatif timur-barat dan memiliki kemiringan kearah selatan dengan besar sudut 130 – 200, dengan ketebalan dari 11,5 meter sampai 14,3 meter dan seam B dengan arah umum penyebaran batubara yaitu relatif timur-barat dan memiliki kemiringan kearah selatan dengan besar sudut 110 – 200, dengan ketebalan dari 14,80 meter sampai 18,75 meter. Berdasarkan model rancangan batubara, diketahui cadangan batubara tertambang di daerah penelitian pada blok selatan adalah sebesar 44.571.573,76 ton dan jumlah overburden sebesar 159.037.84986 bcm sehingga menghasilkan Stripping Ratio 3,6 bcm/ton . Target produksi batubara yang direncanakan tahun pertama sampai tahun kelima adalah sebesar 350.000 ton/tahun, dengan Geometri Bench pada desain pit dirancang dengan kemiringan lereng tunggal maksimal adalah 60°, tinggi bench 10 m dan lebar bench penambangan adalah 5 m, dengan geometri tersebut secara teori dianggap bahwa pit telah aman dari longsor. Dimensi jalan angkut dibuat dengan lebar pada jalan lurus 10 m, pada tikungan 13 m sedangkan derajat kemiringan jalan (grade) adalah 8 %. Arah penambangan dimulai dari blok bagian Timur menuju ke blok bagian Barat kemudian kearah Selatan PT Dizamatra Powerindo, pada tahun pertama dilakukan penggalian dari elevasi 90 mdpl dan sampai elevasi 36 mdpl pada tahun kelima

Electroencephalogram (EEG) pattern for human smoke habit

The brain is most important part of the human body. Smoking cigarettes is a bad habit, however the total numbers of smokers continue developing. Most smokers give 'to release stress and bored' as a purpose behind smoking. Under this circumstance, the interested of brain condition for smoke affinity are useful for varies biomedical field. The essential motivation behind this research is to investigate the Electroencephalogram (EEG) pattern for smoker using sub-band of theta, alpha and beta groups focus on Power Spectral Density (PSD). EMOTIV Pure•EEG™, SPSS and Excel is used as the software while Emotiv Insight is used as the hardware in this research. 5 smokers and 5 non-smokers were tested for this exploration. EEG data was recorded for 5 minutes. Results demonstrated that smokers have lesser theta band which shows a less stressed on feeling as contrasted with non-smokers with a higher theta band. Smokers additionally higher alpha band which shows that they are more casual contrasted with non-smokers with lower alpha band. In any case, smokers are lower beta band that shows they are less�cognizant contrasted with non-smokers. Recently, electronic cigarettes (e�cigarette) have been proposed as a successful instrument for smoking restraint

Enhancement of Learning Style in Kolej Poly-Tech MARA (KPTM) via Mobile EEF Learning System (MEEFLS)

Mobile communication provides access to the outside world without borders everywhere and at any time. The learning method that related to mobile communication technology is known as mobile learning (M-learning). It is a method that communicates learning materials with mobile device technology. The purpose of this method is to increase the interest in learning among students and assist them in obtaining learning materials at Kolej Poly-Tech MARA (KPTM) in order to improve the student's performance in their study and to encourage educators to diversify the teaching practices. This paper discusses the student's awareness for enhancement of learning style using mobile technologies and their readiness to apply the elements of mobile learning in learning to improve performance and interest in learning among students. An application called Mobile EEF Learning System (MEEFLS) has been developed as a tool to be used as a pilot test in KPTM

Enhancement of Learning Style in Kolej Poly-Tech MARA (KPTM) via Mobile EEF Learning System (MEEFLS)

Mobile communication provides access to the outside world without borders everywhere and at any time. The learning method that related to mobile communication technology is known as mobile learning (M-learning). It is a method that communicates learning materials with mobile device technology. The purpose of this method is to increase the interest in learning among students and assist them in obtaining learning materials at Kolej Poly-Tech MARA (KPTM) in order to improve the student's performance in their study and to encourage educators to diversify the teaching practices. This paper discusses the student's awareness for enhancement of learning style using mobile technologies and their readiness to apply the elements of mobile learning in learning to improve performance and interest in learning among students. An application called Mobile EEF Learning System (MEEFLS) has been developed as a tool to be used as a pilot test in KPTM

Dynamic patterns of expertise: The case of orthopedic medical diagnosis

The aim of this study was to analyze dynamic patterns for scanning femoroacetabular impingement (FAI) radiographs in orthopedics, in order to better understand the nature of expertise in radiography. Seven orthopedics residents with at least two years of expertise and seven board-certified orthopedists participated in the study. The participants were asked to diagnose 15 anteroposterior (AP) pelvis radiographs of 15 surgical patients, diagnosed with FAI syndrome. Eye tracking data were recorded using the SMI desk-mounted tracker and were analyzed using advanced measures and methodologies, mainly recurrence quantification analysis. The expert orthopedists presented a less predictable pattern of scanning the radiographs although there was no difference between experts and non-experts in the deterministic nature of their scan path. In addition, the experts presented a higher percentage of correct areas of focus and more quickly made their first comparison between symmetric regions of the pelvis. We contribute to the understanding of experts' process of diagnosis by showing that experts are qualitatively different from residents in their scanning patterns. The dynamic pattern of scanning that characterizes the experts was found to have a more complex and less predictable signature, meaning that experts' scanning is simultaneously both structured (i.e. deterministic) and unpredictable

Brainwave Classification for Brain Balancing Index (BBI) via 3D EEG Model Using k-NN Technique

In this paper, the comparison between k-Nearest Neighbor (kNN) algorithms for classifying the 3D EEG model in brain balancing is presented. The EEG signal recording was conducted on 51 healthy subjects. Development of 3D EEG models involves pre-processing of raw EEG signals and construction of spectrogram images. Then, maximum PSD values were extracted as features from the model. There are three indexes for the balanced brain; index 3, index 4 and index 5. There are significant different of the EEG signals due to the brain balancing index (BBI). Alpha-α (8–13 Hz) and beta-β (13–30 Hz) were used as input signals for the classification model. The k-NN classification result is 88.46% accuracy. These results proved that k-NN can be used in order to predict the brain balancing application

EEG pattern of human calmness during listening to Al-Quran recitation and soft instrumental music

Emotions is a really importance and powerful in human life this is because it can affect the brain which is the most importance organ in human organic system. Good emotion will gives a good effect towards the brain and human while the bad emotion will be vice versa from the good emotion. This is the reasons why emotion needs to manage wisely. Calmness is the one thing that people always seek off after having a hard time or stress. Music has a great effect towards human mind and body. It has proven that listening to music increase the alpha wave level associated to the increase of relaxation. Music is one of therapy that beneficial the people who experiencing depression, stress or anxiety. This research used al�Quran recitation of Surah al-Shua’ara and soft instrumental music as the material to simulate the brain to generate the calmness. There are 10 subject were recorded the EEG signal during listening to al-Quran recitation and soft instrumental music by using Emotiv Insight equipment. The raw data of EEG will undergo analysing process by using SPSS software to test the accurately of the data. The objective of this research is to compare the calmness between the Al-Quran recitation and soft instrumental music. As the result, it is found that most of the subjects were calm during listening to al-Quran recitation compared to the soft instrumental music, but still the soft instrumental music gives calmness towards the listener this is because alpha wave level is low during listening to them compared to beta wave level. In conclusion, al-Quran recitation gives calmness towards the listener compared to the soft instrumental music

Extended Recurrence Plot Analysis and its Application to ERP Data

We present new measures of complexity and their application to event related potential data. The new measures base on structures of recurrence plots and makes the identification of chaos-chaos transitions possible. The application of these measures to data from single-trials of the Oddball experiment can identify laminar states therein. This offers a new way of analyzing event-related activity on a single-trial basis.Comment: 21 pages, 8 figures; article for the workshop ''Analyzing and Modelling Event-Related Brain Potentials: Cognitive and Neural Approaches`` at November 29 - December 01, 2001 in Potsdam, German

EEG pattern for stress condition during listening rock music and binaural beat sound

Music has a great effect on human brain and brainwaves. It is already proven that listening to music such as binaural beat sound and rock music increases the beta band power that is associated to increase the stress condition during listening. This research were conducted to determine the EEG pattern for stress condition during listening binaural beat sound and rock music. The research were conducted due to there is no previous research that conduct an experiment related binaural beat during listening. The previous researcher only focus on the effect of binaural beat after the listening. Experiment were conducted on 5 subjects which are 3 female and 2 male and the data of brainwaves of the samples were collected. The data collected were focused only on Alpha band and Beta band which only exist when someone are in awake state. The data were collected by using Emotiv Insight 5-Channel EEG Mobile set which consist of the Emotiv Insight headset, the Universal USB Receiver and the Emotiv Pure EEG software. The data were in power spectral density (PSD) form and it were analyzed by using SPSS software. In SPSS software, the data were analyzed to find the mean, standard deviation and the distribution. From the analysis and discussion, the hypothesis of this research are proven as the beta band are increasing and higher than alpha band. As for the recommendation, the next researcher could increase the number of subject for experimental and the songs also recommended to be divided based on subject song preferences

EEG pattern of cognitive activities for non dyslexia (engineering student) due to different gender

The purpose of this study is to identify the electroencephalogram (EEG) pattern of male and female engineering student during the cognitive activity. EEG is a method to monitoring electrical activity in the brain and has four main brainwave signal Delta Wave, Theta Wave, Alpha Wave and Beta Wave. Delta wave is a slow wave generated in deepest meditation, Theta Wave usually occurs in sleep, Alpha Wave dominant in calming, relaxing condition and Beta Wave dominant in wakeful condition. The raw data collected analysis using SPSS and Microsoft Excel to analysis the accuracy and the brainwave pattern between male and female. The average, standard derivation, correlation and Q-Q Plot are used to identify the EEG pattern between male and female during cognitive activity. Cognitive is one of the bloom taxonomy formulate for education activities. The process involves in decision making, understanding of information, attitudes and solving. Subjects are given a set of question to answer. A total of 24 students, 12 males and 12 female involve recording their EEG signal while answering the cognitive question by wearing the Emotive Insight device. All subjects are from UTHM engineering students. Data collected are focused in Alpha Wave and Beta wave which exist in when someone is in awaken condition. The difference between male and female brainwave during the cognitive activity can be observed from the analysis and discussion of the result. For future recommendation for this research is the number of subject can be increased to get more accurate data