Hasil Pencarian  ::  Simpan CSV :: Kembali

"ABSTRAKDengan berkembangnya industri video game pada perangkat mobile memberikan keuntungan bagi para pemain dikarenakan perangkat mobile memiliki aksesibilitas yang tinggi untuk mudah dibawa. Salah satu fungsi bermain game ialah sebagai sarana hiburan dimana salah satu contohnya bermain game dapat mengurangi stress akibat kelelahan secara kognitif setelah bekerja akan tetapi terdapat juga beberapa jenis/genre game yang dapat meningkatkan stress pada pemainnya salah satu contohnya pada game yang bersifat violent. Salah satu jenis mobile games yang terkenal saat ini ialah game dengan genre battle royale dan jenis game ini juga bersifat violent sehingga cocok digunakan pada penelitian ini untuk melihat kejadian apa saja yang menyebabkan stres pada pemain. Penelitian ini memiliki tujuan untuk mengevaluasi tingkat stres saat bermain video game dengan menggunakan pendekatan ergonomik untuk mengetahui kejadian dalam game yang menyebabkan peningkatan stress. Metode yang digunakan dalam penelitian ini adalah frequency analysis dari rata rata power gelombang, asymmetry, dan rasio alpha/beta juga rasio theta/beta, menggunakan data yang diperoleh dari pengukuran electroencephalogram responden saat bermain game Playerunknown Battlegrounds Mobile (PUBG Mobile). Berdasarkan penelitian yang telah dilakukan terdapat beberapa kondisi yang memiliki pengaruh dan tidak memiliki pengaruh terhadap tingkat stres baik pada pemain yang memiliki pengalaman bermain maupun pemula yang tidak memiliki pengalaman bermain PUBG Mobile.

---

ABSTRACT

With the development of the video game industry on mobile devices, it provides benefits for players because mobile devices have high accessibility for portability. One of the functions of playing games is entertainment where one example of playing a game can reduce stress due to cognitive fatigue after work, but there are also several types / genres of games that can increase stress on the players one example is in a violent game. One type of mobile games that are popular today are games with the battle royale genre and this type of game is also violent, so it is suitable to be used in this study to see what events are causing stress on players. This study aims to evaluate the level of stress when playing video games using an ergonomic approach to find out the events in the game that cause increased stress. The method used in this study is frequency analysis of the average wave power, asymmetry, and alpha / beta ratio as well as the theta / beta ratio, using data obtained from respondents' electroencephalogram measurements while playing the Playerunknown Battlegrounds Mobile (PUBG Mobile) game. Based on research that has been done there are several conditions that have an influence and do not have an influence on stress levels both in players who have playing experience and beginners who do not have experience playing PUBG Mobile."

"

Latar belakang: Stabilitas sekunder memiliki pengaruh besar terhadap oseointegrasi yang pada akhirnya akan mempengaruhi keberhasilan perawatan implan. Desain thread implan merupakan salah satu faktor penting yang mempengaruhi stabilitas implan. Namun belum banyak penelitian yang menganalisa pengaruhnya terhadap stabilitas sekunder. Metode: Penelitian ini merupakan penelitian kuasi eksperimental yang mengevaluasi stabilitas sekunder 44 buah implan dengan jenis implan BL (Bone Level) dan BLT (Bone Level Tapered) masing-masing berjumlah 22 buah implan. Stabilitas implan diukur sebanyak 3 kali pada setiap implan menggunakan alat RFA (Resonance Frequency Analysis). Rerata nilai ISQ (Implant Stability Quotient) akan didapat pada saat pemasangan implan, 1 bulan, dan 2 bulan setelah pemasangan implan. Hasil: Hasil menunjukkan bahwa terdapat perbedaan nilai ISQ yang signifikan antara nilai saat pemasangan implan dibandingkan nilai saat kontrol 1 bulan serta kontrol 2 bulan setelah pemasangan baik pada kelompok BL maupun BLT dengan nilai p < 0,05. Namun, tidak ada perbedaan nilai ISQ yang signifikan antara implan berdiameter 4,1 mm dan 4,8 mm pada jenis implan BL maupun BLT naik pada saat pemasangan implan, saat kontrol 1 bulan, dan kontrol 2 bulan setelah pemasangan dengan nilai p = 0,21. Kesimpulan: Jenis desain thread implan bone level tidak mempengaruhi stabilitas sekunder. Faktor lain seperti diameter implan juga tidak mempengaruhi nilai stabilitas sekunder baik pada jenis implan BL maupun BLT.

 

---

Background: Secondary stability greatly influences osseointegration, which ultimately affects the success of implant treatment. Though implant thread design is one important factor influencing implant stability, not many studies have analyzed its impact on secondary stability. Methods: This quasi experimental study involving 44 implants evaluated the biological stability of threaded implants with cylindrical (bone-level; BL) and tapered (bone-level tapered; BLT) designs. Implant stability was evaluated for each implant at 3 time parameters using resonance frequency analysis. A mean implant stability quotient (ISQ) value was calculated for each measurement time. Results: A significant increase in the ISQ value was found at each time parameter consecutively in both implant design groups (P < 0.05). No significant difference was noted in ISQ value between the groups at all 3 time parameters (P = 0.05). There was also no significant difference in the ISQ value at all 3 time parameters between implants with diameters of 4.1 mm and 4.8 mm in the BL and BLT implant groups (P = 0.21). Conclusion: The implant thread designs of BL and BLT implants did not affect the secondary stability. Factors such as implant diameter also did not affect the secondary stability in either implant group.

 

"

"This study aims to investigate changes in rainfall in terms of trends, variability, spatial and temporal distributions, and extremes in the Huai Luang watershed. The trend analysis was applied to the time series of rainfall data for 32 years from 1982-2013. Changes in spatial and temporal rainfall distributions and extremes were investigated by comparing the 2 periods of the rainfall data between 1982-1997 and 1998-2013. Frequency analysis of annual maximum daily rainfall was applied to determine changes in extreme rainfall for different return periods at three stations located upstream, middle and downstream of the watershed. The results of this work show significantly increasing trends in annual rainfall, spatial variations and extreme daily rainfall in the Huai Luang watershed. The extreme rainfall resulted in increasing floods in last decade. Spatial and temporal rainfall distributions are also changing. The lower part of the watershed will have more rain. Further studies on potential impacts of rainfall changes on flood risk, water resources management, urbanization and agriculture development in the Huai Luang watershed are recommended to support preparation of adaptation strategies for mitigating potential negative impacts."

"Dalam rangka memenuhi harapan pelanggan, perusahaan kertas memasang sistem pengendali kualitas online pada fasilitas produksinya. Sistem ini akan memonitor dan mengontrol proses pembuatan kertas secara online. Tujuan dari penelitian ini adalah untuk mendapatkan faktor-faktor yang menyebabkan terjadinya variasi pada properti kertas terutama berat dan warna. Dimensi data yang didapatkan dari sistem online tersebut sangat besar. Data yang demikian tidak dapat dianalisis dengan menggunakan metode tradisional, oleh karena itu digunakan metode Data Mining. Teknik yang digunakan adalah Frequency Analysis, Principal Component Analysis dan Neural Network.Hasil penelitian menunjukkan bahwa faktor yang menyebabkan terjadinya variasi berat adalah proses penanganan bahan baku dan pengaturan bukaan slice lip headbox, sedangkan variasi warna disebabkan oleh bahan pewarna yang digunakan. Untuk meningkatkan mutu produk atau meminimalkan variasi maka diusulkan agar dilakukan penalaan atau kalibrasi sistem pengendali online secara rutin, dipasang sistem pengendali online untuk pengaturan bukaan slice lip headbox dan digunakannya bahan pewarna yang mempunyai efek interaksi minimal terhadap properti warna.

---

To fulfill customer expectation, Paper Industries install online quality control system in their production facilities. This system will monitor and control the paper making process online. Objective of this research is to find the causes of paper properties variation especially in Basis Weight and Color. The data that produced by online control system is very big. The huge data cannot be analyzed by traditional method, so that used Data Mining method. The techniques being used are Frequency Analysis, Principal Component Analysis and Neural Network.

The research shows that basis weight variation is caused by pulp handling process and headbox slice lip opening adjustment; color variation is caused by dyes stuff that used. In order to improve product quality or minimize the variation is suggested to tune or calibrate the online control system periodically, to install online control system for headbox slice lip opening adjustment and used the dyes stuff that have minimum interaction effect on color properties."

"ABSTRAK

Pada saat ini metode pengukuran tekanan darah secara non-invasive paling banyak digunakan baik didalam maupun diluar fasilitas kesehatan. Namun metode tersebut masih membuat pengguna tidak nyaman karena adanya tekanan manset pada saat pengukurannya. Beberapa metode non-invasive tanpa manset telah dikembangkan salah satunya adalah metode pulse wave analysis (PWA). Photoplethysmograpy (PPG) merupakan satu-satunya masukan dan dasar bagi perhitungan pengukuran tekanan darah pada metode PWA. Tantangan utama dalam menggunakan metode PWA berbasis PPG adalah akurasinya sangat dipengaruhi oleh noise. Selain itu, karakteristik PPG bervariasi tergantung pada kondisi fisiologis, karenanya sistem harus melakukan kalibrasi untuk menyesuaikan perubahan tersebut. Kami berupaya mengatasi keterbatasan tersebut dan mengusulkan pengembangan metode pulse wave analysis untuk klasifikasi tekanan darah secara non-invasive berbasis PPG menggunakan kombinasi algoritma Bidirectional Long Term Memory (BSLTM) dengan Time Frequency Analysis (TFA). Kami menggunakan 121 subyek untuk pengujian model yang bersumber dari figshare database dan mengklasifikasikannya ke dalam tiga tingkatan klasifikasi: normotension (NT), prehypertension (PHT), hypertension (HT) sesuai dengan standar klinis Join National Commitee. Pelatihan jaringan BLSTM menggunakan fitur TFA, secara signifikan meningkatkan efisiensi dengan mengurangi waktu pelatihan sekaligus meningkatkan akurasi klasifikasi. Metode yang diusulkan berhasil mengklasifikasikan tekanan darah dengan rata-rata nilai accuracy pada NT, PHT, dan HT masing-masing 92.43%, 94.83%, dan 94.01%. 

---

ABSTRACT

---

The blood pressure measurement non-invasive methods that are presently implemented using a cuff cause discomfort, particularly for injured people, overweight people, and infants. Several non-invasive cuff-less methods have been developed, one of which is the pulse wave analysis (PWA) method. Photoplethysography (PPG) is the only input and basis for the calculation of blood pressure measurements in the PWA method.The main challenge in using the PPG method is that its accuracy is greatly influenced by motion artifacts. In addition, the characteristics of PPG vary depending on physiological conditions; hence, the system must be calibrated to adjust for such changes. We attempt to address these limitations and propose a novel method for the classification of BP using a bidirectional long short-term memory (BLSTM) network with time-frequency analysis (TFA) based on PPG signals. We used 121 subjects from the figshare database for model testing and classify into three classification levels: normotension (NT), prehypertension (PHT), and hypertension (HT) according to the Join National Committee. BLSTM network training uses the TFA feature, significantly increasing efficiency by reducing training time while increasing classification accuracy. The proposed method is successful in the classification of BP with accuracy values of NT, PHT, and HT; 92.43%, 94.83%, and 94.01% respectively. 

"

"This book compiles recent research in the field of nonlinear dynamics, vibrations and damping applied to engineering structures. It addresses the modeling of nonlinear vibrations in beams, frames and complex mechanical systems, as well as the modeling of damping systems and viscoelastic materials applied to structural dynamics. The book includes several chapters related to solution techniques and signal analysis techniques. Last but not least, it deals with the identification of nonlinear responses applied to condition monitoring systems. "

"This book introduces new methods to analyze vertex-varying graph signals. In many real-world scenarios, the data sensing domain is not a regular grid, but a more complex network that consists of sensing points (vertices) and edges (relating the sensing points). Furthermore, sensing geometry or signal properties define the relation among sensed signal points. Even for the data sensed in the well-defined time or space domain, the introduction of new relationships among the sensing points may produce new insights in the analysis and result in more advanced data processing techniques. The data domain, in these cases and discussed in this book, is defined by a graph. Graphs exploit the fundamental relations among the data points. Processing of signals whose sensing domains are defined by graphs resulted in graph data processing as an emerging field in signal processing."

"Photoplethysmography (PPG) merupakan sinyal penting yang mengandung banyak informasi fisiologis tentang kesehatan jantung dan dapat digunakan untuk mengklasifikasikan kadar glukosa darah non-invasif (BGL). Meskipun demikian, distorsi kebisingan dan gerakan dapat dengan mudah mengkontaminasi sinyal PPG, sehingga berpotensi menghasilkan data berkualitas rendah. Masalah tambahan muncul dari fakta bahwa sifat gelombang PPG bervariasi karena variasi elastisitas dinding pembuluh darah dan kekentalan darah, yang dapat mengakibatkan ketidakakuratan pengukuran. Meskipun beberapa metode tersedia untuk meningkatkan kualitas sinyal PPG, algoritmanya rumit dan tidak selalu menghasilkan akurasi yang tinggi. Kami telah mengembangkan teknik ekstraksi fitur menggunakan analisis frekuensi waktu (TFA) yang menyediakan spektogram, frekuensi sesaat, dan entropi spektral yang dapat menjamin kualitas sinyal. Penelitian kami menggunakan memori jangka pendek jangka panjang dua arah (BLSTM) berdasarkan kebutuhan akan model yang secara berkala dapat beradaptasi dengan perubahan karakteristik PPG. Kami mengusulkan menggabungkan TFA dengan model BLSTM yang dapat mengurangi waktu pelatihan sekaligus meningkatkan akurasi. Metode yang kami usulkan mengurangi titik data pada sinyal PPG dari awal 2100 menjadi hanya 64, secara signifikan mengurangi waktu pelatihan dari 239 menit 34 detik menjadi 4 menit 4 detik. Model memiliki akurasi 94,1%, sensitivitas 100%, spesifisitas 89,5%, dan skor F1 94,5%. Metode yang kami usulkan mencapai akurasi tinggi dan janji luar biasa dengan hanya mengandalkan data PPG mentah dalam klasifikasi BGL.

---

Photoplethysmography (PPG) is an important signal that contains much physiological information about cardiovascular health and can be used to classify non-invasive blood glucose levels (BGL). Nonetheless, noise and motion distortions can readily contaminate PPG signals, potentially resulting in low-quality data. An additional issue arises from the fact that the PPG wave properties vary due to variations in the elasticity of the blood vessel wall and blood viscosity, which can result in measurement inaccuracies. While several methods are available to improve the quality of PPG signals, the algorithms are complex and do not always produce high accuracy. We have developed a feature extraction technique using time-frequency analysis (TFA) that provides spectrograms, instantaneous frequencies, and spectral entropies that can guarantee signal quality. Our study uses bidirectional long-short-term memory (BLSTM) based on the need for a model that can periodically adapt to changes in PPG characteristics. We propose combining TFA with a BLSTM model that can reduce training time while increasing accuracy. Our proposed method reduced the data points on the PPG signal from the initial 2100 to only 64, significantly reducing the training time from 239 min 34 sec to 4 min 4 sec. The model had an accuracy of 94.1%, sensitivity of 100%, specificity of 89.5%, and F1 score of 94.5%. Our proposed method achieves a high accuracy and excellent promise by relying solely on raw PPG data in BGL classification."

"Pipa penyalur merupakan sarana transportasi hidrokarbon yang umum digunakan sebagai media transportasi hidrokarbon. Namun apabila terjadi kegagalan akan berdampak besar terhadap jalur yang dilalui terutama di daerah padat penduduk. Pipa penyalur yang digelar harus mempunyai hak guna jalan (right of way) untuk keperluan pengoperasian, perawatan, dan kondisi tanggap darurat. Di Indonesia, pipa penyalur harus mempunyai jarak dari bangunan tetap minimal adalah 9 meter. Namun, karena faktor sosial, ekonomi, dan petumbuhan penduduk serta tingkat urbanisasi kondisi tersebut sering tidak tercapai. Oleh karena itu tingkat risiko penduduk di sekitar pipa penyalur harus diketahui. Di beberapa negara penilaian risiko kuantitatif diwajibkan sebagai dasar pertimbangan pengambilan keputusan dan sebagai sistem kontrol bahaya yang terjadi. Penilaian risiko kuantitatif terdiri dari penilaian frekuensi dan konsekuensi. Penilaian frekuensi diperoleh dari nilai laju kegagalan pipa penyalur akibat cacat material dan cacat konstruksi, korosi internal, korosi eksternal, gangguan pihak ketiga, pergerakan tanah. Penilaian konsekuensi memperhitungkan tingkat keparahan apabila kebakaran crater fire, jet fire, dan flash fire berdasarkan pohon kejadian (event tree). Pemodelan konsekuensi berdasarkan data meteorologi, data populasi, data teknis pipa penyalur, data komposisi fluidan, data perawatan dan rekam jejak kegagalan. Berdasarkan hasil perhitungan dan pemodelan nilai risiko dalam bentuk kontur pada setiap skenario (crater fire, jet fire, dan flash fire) diperoleh nilai risiko paling besar adalah 1x10-5 terjadi pada skenario crater fire dan jet fire. Luas wilayah yang mempunyai nilai risiko 1x10-5 pada skenario crater fire lebih besar dibandingkan skenario jet fire. Berdasarkan klasifikasi ALARP (As Low As Reasonably Practicable) nilai tersebut masih dapat diterima apabila diberikan alat pengaman tambahan.

---

Pipeline is commonly used for hydrocarbon transportation. However, if a failure occurs, it will have a major impact on the route traveled, especially in densely populated areas. The pipeline must have a right of way for operation, maintenance, and emergency response. In Indonesia, pipelines must have a minimum distance from fixed buildings of 9 meters. However, due to social, economic and population growth factors as well as the level of urbanization this condition is often not achieved. Therefore, the risk level of the population around the pipeline must be known. In some countries, quantitative risk analysis is required as a basis for decision-making and as a control system for hazards. Quantitative risk analysis consists of frequency and consequence analysis. The frequency analysis is obtained from the failure rate of the pipeline due to material and construction defects, internal corrosion, external corrosion, third party interference, and ground movement. The consequence analysis takes into account the severity of crater fire, jet fire and flash fire based on the event tree. Consequence modeling is based on meteorological data, population data, pipeline technical data, fluid composition data, maintenance data and failure track record. Based on the results of the calculation and modeling of risk values in the form of contours in each scenario (crater fire, jet fire, and flash fire), the greatest risk value is 1x10-5 occurring in the crater fire and jet fire scenarios. The area that has a risk value of 1x10-5 in the crater fire scenario is greater than the jet fire scenario. Based on the ALARP (As Low As Reasonably Practicable) classification, this value is still acceptable if additional safety equipment is provided.Keywords: Workover Rig, Oil and Gas Accident, Systematic Cause Analysis Technique, Technical Guidelines."