46 research outputs found
Pengembangan Aplikasi Basic Taekwondo Training System Berbasis Teknologi Real Time Motion Capture Menggunakan Microsoft Kinect
Get PDFTingginya tingkat kriminalitas yang terjadi di
Indonesia mendorong masyarakat untuk belajar bela diri.
Akan tetapi keterbatasan waktu dan tempat membuat
sebagian masyarakat tidak dapat berlatih bela diri ditempat
latihan yang sudah ada. Namun dengan teknologi saat ini,
dimungkinkan untuk masyarakat berlatih bela diri dengan
pelatih virtual di rumah. Selain kepraktisan yang
ditawarkan, penggunaan teknologi juga dapat mengukur
ketepatan gerakan yang di latih.
Memanfaatkan fitur motion capture pada sensor
Microsoft Kinect, penulis akan membangun aplikasi “basic
taekwondo training system” untuk menciptakan pelatih bela
diri virtual yang dapat dimanfaatkan untuk berlatih
taekwondo didalam rumah.
Dengan “basic taekwondo training system” penulis
berharap dapat memberikan solusi bagi masyarakat yang
ingin membekali diri dengan bela diri guna memenuhi
iv
kebutuhan berolahraga dan mengantisipasi tindakan yang
tidak dinginkan.
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The level of criminality in Indonesia encouraging
people to learn how to defense their self , but the the
limitation of time and place make half of them cant practice
martial art on available place , with the technology today it
is posible for online practice at home , besides of the
simplicity that is offered the use of technology could
measure the accuracy of the motion which is trained.
Using Microsoft Kinect, the author want to develop
basic taekwondo traning system to create virtual couch. By
using this application, user can train taekwondo everywhere
and everytime.
With basic taekwondo training system, the author
hope that it could give the solution for the people who wants
to prepare them self with martial art to fulfill the needs of
sports and anticipate the bad people
PARADIGMA MODERASI MUHAMMAD MUTAWALLI AL-SYA’RAWI
Get PDFThe focus of this research is to find out more about Muhammad Mutawalli Al-Sya\u27rawi\u27s moderation paradigm in his commentary book, Tafsîr Al-Sya\u27râwî. By presenting Al-Sya\u27rawi\u27s views, understanding, and interpretation of the verses that form the basis of religious moderation directly from his monumental work, Tafsîr Al-Sya\u27râwî, this research uses library research methods. The author collects data and processes the data using descriptive analytical and comparative methods to compare the various opinions foun
ANALISIS KEBOCORAN PADA STERN TUBE DI MV. ORIENTAL MUTIAR
Get PDFMuhammad Afif Ardani, 2018, NIT: 50135003.T, “ Analysis in Stern Tube Leak on MV. Oriental Mutiara”, Final Project, Teknika Study Program, Diploma IV Program, Merchant Marine Politechnic of Semarang, Supervisor I: Nasri, MT, Supervisor II: Adi Oktavianto, ST, MM.
Stern tube is a steel tube built into the ship’s structure for the purpose of supporting and enclosing the propulsion shafting where it pierces the hull of the ship. The stern tube system used is lubricating system with lubricating oil media and mounted pads that are made of babbit metal, also given rubber seals. Leakage of the stern tube will occur when the stern tube is abnormal.
The research method that the writer uses in the preparation of this thesis is SWOT method as data analysis technique to analyze the existing problem at stern tube, that is what factors causing leaks on stern tube aboard, impact resulting from leakage at stern tube and effort improves the leakage of the stern tube by systematically identifying various factors against strenghts, weaknesses, opportunities, and threats from the environment to formulate strategies will be taken.
Based on the results of research that has been done by the author on the ship can be concluded on the stern tube caused by damage experienced on the stern tube because of poor material quality. Then for the inconvenience for the company as well as for the ship, the strategy to fix the leakage of stern tube using SWOT analysis strategy that is defensive strategy that is in quadrant IV, there are two factors of effort to improve the stern tube according to the strategy formula that the company must take an active role in supporting the activity of docking repair the damaged seal stern tube.
Keyword : Stern tube, stern tube seal, SWOT
Deteksi Kondisi Lelah Berbasis Sinyal Electroencephalograph (EEG) Satu Kanal Menggunakan Linear Discriminant Analysist (LDA)
Get PDFKondisi kelelahan dapat menjadi permasalahan serius jika tidak ditangani
dengan tepat, khususnya kondisi kelelahan mental. Kondisi kelelahan mental sangat
erat hubungannya dengan tingkat kemampuan dan konsentrasi yang dimiliki oleh
seseorang. Selain itu, kondisi kelelahan mental juga dapat menjadi indikasi
penyakit berbahaya tertentu. Banyak penelitian telah dilakukan untuk mendeteksi
kondisi kelelahan secara mental ini. Pengukuran secara subjektif, kognitif, dan
fisiologis telah diusulkan pada penelitian-penelitian sebelumnya. Di antara metodemetode
tersebut pengukuran dengan menggunakan pengukuran fisiologis,
khususnya dengan memanfaatkan sinyal electroencephalograph (EEG) dirasa
paling akurat dan paling banyak digunakan.
Meskipun demikian, pemanfaatan sinyal EEG untuk mendeteksi kelelahan
secara mental masih terkendala dengan proses komputasi yang kompleks, karena
memanfaatkan banyak kanal dalam perekaman sinyal EEG. Tingkat kompleksitas
yang tinggi ini membuat pemanfaatan hasil penelitian yang telah dilakukan sulit
untuk di implementasikan pada kondisi sebenarnya. Sehingga diperlukan
paradigma baru yang dapat digunakan untuk mendeteksi kondisi kelelahan mental
dengan metode yang lebih sederhana.
Pada penelitian ini diusulkan metode pendeteksian kelelahan mental
dengan menggunakan sinyal EEG yang diambil dari satu kanal. Untuk
mendapatkan informasi yang lebih detail mengenai ciri kondisi kelelahan mental,
sinyal EEG dibagi ke dalam beberapa segmen. Metode klasifikasi LDA, QDA, dan
SVM digunakan untuk mengetahui tingkat akurasi yang dihasilkan oleh metode
yang diusulkan. Akurasi sebesar 78.13% dengan menggunakan LDA. Hasil tersebut
didapatkan dengan memanfaatkan segmentasi dengan panjang segmen sebesar 60
detik. Berdasarkan hasil tersebut dapat dibuktikan bahwa pendeteksian kondisi
kelelahan mental dapat menggunakan sinyal EEG yang didapatkan hanya dari satu
kanal.
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Fatigue condition can be a serious problem if it not handled properly,
especially mental fatigue condition. Mental fatigue condition is a type of fatigue
that related to cognitive and concentration ability of human being. It also has a
correlation with acute or chronic illness. Many previous researchers tried to find an
effective method to detect mental fatigue condition. Methods like subjective
measurement, cognitive measurement, and physiological measurement have been
used in the previous research. However, physiological measurement seems more
promising to detect mental fatigue condition. Electroencephalogram (EEG) signal
is the most widely used as a physiological measurement in this case.
Nevertheless, mental fatigue detection using EEG signal has some
problem such as complex computation. The complex computation problem was
caused by multi-channel electrode sensor which used to record EEG signal. This
problem lead to difficult implementation in real life condition. Another solution
need to be proposed to solve the implementation problem. The new solution must
be as simple as possible.
In this research, mental fatigue detection using EEG signal using single
channel sensor has been proposed. Window segmentation method was used to get
more information about mental fatigue characteristics. LDA, QDA, and SVM also
used to classify mental fatigue condition. According to our experiments, LDA yield
the highest performance with 78.13% of accuracy. This result obtained from 60
second length of window segmentation. This result showed that mental fatigue can
be detect using EEG signal which captured only from single channel
Analisis Kesalahan Penerapan Qawa’id Pada Buku Ajar Bahasa Arab
No full textStill, the presence of errors in the application of qawa''id Arabic Arabic textbook writing in the neighborhood Dikdasmen PWM DIY shows that the preparation of textbooks is not of good quality. This research aims to locate faults textbook writing so that it can immediately be repaired. As of this writing done on the application of qawa'id Arabic in textbook writing. The procedure used: data collection, classification or grouping error, frequency error types, the identification of the scope of the type of error, remedial and identification errors.
Artifacts errors found as many as 524 items an error. The error types, divided into two aspects of the errors, namely (1) Error morphology (akhta 'al-sarafiyyah) include isim gairu munsarif, jama' and fi'il Muta'adiy, alif Layyinah, and typographical errors. (2) a structural or syntactic errors (akhta 'tarkibiyyah) include: na'at man'ut, nakirah-ma'rifah, errors harokat, miscellaneous structures, tarkib Idafiy (mudaf-mudaf ilaih), tarkib isnadiy (mubtada' khabar), maf'ul mutlaq, mabni fathah, removal of language elements, ambiguous, one selected, couples idiom said, adding, writing qat'a glottal stop, and hamzah wasal.
Based on the analysis of the textbook errors, some errors are still common, namely the writing section glottal qat'a, isim gairu munsarif, alif Layyinah, writing errors, nakirah-ma'rifah, mabni fathah, and hamzah wasal. Some of the things that cause the occurrence of such errors that is the attitude of carelessness and a disregard for the rules by the author, the inconsistency of the author of the application of a rule, application of the rules are an incomplete and excessive generalization
Design and Analysis of Run-of-River Water Turbine
Get PDFThis paper discussed on the project entitled, “Design and analysis of run-of-river water turbine”. It consists of project background, objectives, problem statements, and the relevance of the project, literature reviews, and the methodology which is the flow of the project and finally the result and discussion before the conclusion. In this project the author design a run of river water turbine and analyze the power that can be generated by the turbine.
The study is about gathering all possible information about river water turbine for further studies which will lead to the result of the design of the water turbine and the power generated by the turbine. The main objective of this project is merely to prove that the author’s design of the vertical axis run of river water turbine can generate power in form of electric. Water turbines can be classified depending on the direction of rotational axis relative to water flow direction. Axial flow water turbines have their axis of rotation parallel to water stream direction. Other turbines such as cross flow water turbines or Darrieus type water turbines (from Jean-Marie Darrieus, inventor of first vertical axis wind turbine, have rotational axis perpendicular to current direction. A vertical-axis turbine is able to extract power from any direction without adjustment.
At the end of this research, the conclusion that can be obtained is the run-of river water turbine can generate power. In order to provide such conclusion, the data that need to be considered are the river water velocity, the cross sectional area of the augmentation channeling, and the height of the augmentation channel that would be immersed in the water
IMPROVING OF MANUFACTURING PRODUCTIVITY THROUGH SIMULATION
Get PDFImprovement of manufacturing system is must do process due to development of manufacturing technology and increase in customer needs. Due to development of technology, companies need to do improvement of their current system in order to survive in competition. This study will analyse overall productivity and identified critical process that consider bottleneck. This study also will quantify impact of batch capacity in manufacturing productivity. Computer aided simulation software will be used as main method. Data of manufacturing system will be collected and will be used as input in simulation software.. Altering several parameters such as machines quantity and batch size helps author to studied final output. It helps author reduce time to do trial for new design as simulation software will done based on real time and system performance will be address to help improvise new design. Simulation also can be applied at both the justification phase and design phase. By using this method, critical area can be identified in manufacturing system and explore several solution based on different scenario
Marketing Strategy Analysis Using SWOT and QSPM Methods In SMEs
Get PDFThis research focuses on one of the coffee-making SMEs. The many competitors in this business make
it a challenge for companies to compete in marketing their product, namely coffee. From this, it is interesting
for the author to make a study. This objective is made to determine the internal and external factors of the
company and is used as input for the marketing strategy for the company. This study uses the SWOT and
QSPM methods and uses primary and secondary data. The company's SWOT analysis results are in quadrant
V. Based on the existing alternative strategies. It is analyzed using QSPM. The strategy chosen was to improve
good relations with workers
Tingkat Kerawanan Desa Berdasakan Dampak Bencana Kab.Bojonegoro Dengan Metode Clustering Algoritma K-Means
Get PDFThe Bojonegoro Regency is a region that is quite prone to disasters, especially floods, landslides, and extreme weather. There have been 2,162 recorded incidents in the past three years, causing significant material and moral losses totaling IDR 1,986,210,000. In an effort to reduce future losses, early prevention measures can be taken by conducting research on the potential disaster-prone areas based on the impact of disasters that have occurred in the region. This study utilized data from 430 villages (2019-2022), considering 6 disaster impact parameters, including the number of disaster events, casualties, affected houses, affected land, material losses, and facility damage. The objective was to identify the vulnerability level of villages using the K-Means Clustering method. The optimal number of clusters was validated using the Davies Bouldin Index (DBI), and the data mining process followed the CRISP-DM standard. The trial results indicated that the optimal number of clusters is k=3. Cluster analysis revealed that Cluster 1 (3 villages) experienced more significant disasters, causing more damage to houses and land; Cluster 2 (17 villages) faced disasters with significant casualties, while Cluster 3 (410 villages) experienced disasters with the lowest impact.Kabupaten Bojonegoro merupakan daerah cukup rawan bencana terutama banjir, tanah longsor, dan cuaca ekstrem, tercatat 2.162 kejadian yang menyebabkan kerugian materiil dan moril meningkat signifikan dalam tiga tahun terakhir, mencapai Rp 1.986.210.000. Dalam kaitannya untuk mengurangi kerugian dimasa mendatang dapat dilakukan pencegahan sedini mungkin, dengan dilakukannya penelitian mengenai potensi daerah yang rawan bencana berdasarkan dampak bencana yang terjadi di daerah tersebut. Penelitian ini menggunakan data 430 desa (2019-2022), dengan 6 parameter dampak bencana meliputi jumlah kejadian bencana, korban jiwa, rumah terdampak, lahan terdampak, kerugian harta dan kerusakan fasilitas. Tujuannya mengidentifikasi tingkat kerawanan desa dengan metode Clustering K-Means. Validasi jumlah cluster optimal dilakukan dengan Davies Bouldin Index (DBI) dan data mining mengikuti standar CRISP-DM. Hasil uji coba menunjukkan jumlah cluster optimal k=3. Analisis cluster menunjukkan bahwa cluster 1 (3 desa) mengalami bencana besar lebih banyak merusak rumah dan lahan, cluster 2 (17 desa) mengalami bencana dengan korban signifikan, cluster 3 (410 desa) mengalami bencana dengan dampak paling rendah
Identification of optimum segment in single channel EEG biometric system
Get PDFNowadays, biometric modalities have gained popularity in security systems. Nevertheless, the conventional commercial-grade biometric system addresses some issues. The biggest problem is that they can be imposed by artificial biometrics. The electroencephalogram (EEG) is a possible solution. It is nearly impossible to replicate because it is dependent on human mental activity. Several studies have already demonstrated a high level of accuracy. However, it requires a large number of sensors and time to collect the signal. This study proposed a biometric system using single-channel EEG recorded during resting eyes open (EO) conditions. A total of 45 EEG signals from 9 subjects were collected. The EEG signal was segmented into 5 second lengths. The alpha band was used in this study. Discrete wavelet transform (DWT) with Daubechies type 4 (db4) was employed to extract the alpha band. Power spectral density (PSD) was extracted from each segment as the main feature. Linear discriminant analysis (LDA) and support vector machine (SVM) were used to classify the EEG signal. The proposed method achieved 86% accuracy using LDA only from the third segment. Therefore, this study showed that it is possible to utilize single-channel EEG during a resting EO state in a biometric system
