Dinamika Rekayasa (E-Journal - Engineering Departement Jenderal Soedirman University UNSOED)
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Struktur Geologi dan Sebaran Batubara daerah Bentian Besar, Kabupaten Kutai Barat, Propinsi Kalimantan Timur
Get PDFThis study is a surface geological mapping work to determine the geological conditions in the study area and in particular the presence of coal of Bentian Besar District, West Kutai Regency, East Kalimantan Province. The goal is to determine the position and spread of coal layer, coal quality and quantity of coal resources in the study area. Research on the existence of coal deposits is done through field survey methods, by observing, define and measure elements of geological structures encountered. At this stage of field work carried identification, observation, measurement of the coal position and takes it sample. In the study area encountered 2 (two) rock formations, Pamaluan, and Pulubalang Formation. Coal deposits found in rock unit known as Pulubalang Formation. Direction of the dip of the rock layers in the study area form a syncline structure. At this structure of the coal seam, there are three dip directions, namely: rocks on the southeast side of syncline axis tilted toward the northwest, rocks on the northwest side of the syncline axis tilted to the southeast, while the dip of the rocks on the southwest side Syncline tilted toward the northeast
Model Matematis Prediksi Produk Sukses Berdasarkan Orientasi Fungsional Emosional Produk
No full textThe risk of product loss can be minimized by mathematical model of predictive success or failure of a product at the early design stage. Model is build from 30 graphics of strategy canvas industries.Canvas strategy contains success factors product overview. This research starts with standardise canvas intervaland factor successdescription. Next step is factors succesclasification, based on functionalemotional product orientation. The result of it are 66 data sets. Data set are constructed based on value innovation concept. Every data set consist ofone price factor, one innovation factor and one factor of succes indicator. The Mathematical model from desimal data obtained by Ordinary LeastSquare (OLS) estimation parameter method. Binary data obtained by Maximum Likelihood Estimator (MLE). Mathematical model selection base onmodel and coeficient significant (α=0.05). While model significances decimal data are then validated by One Way Analysis of Variance (ANOVA), binary data validated by Hosmer and Lemeshow analysis to testgoodness of fit of the model. Coefficient of significances are tested with t and wald statistic. Finally, mathematical model required is derived from prediction capability relied on R squareAdjusted for decimal data and R square Nagelkerke analysis for binary data. The result of this research is model with prediction capability up to 70%. Thereare three models developed, new emotional model with 74.1% predictioncapability, functional velocity model (73.1%), and functional capability (70.8%)
Potensi Sumberdaya Batubara di Daerah Petak Malai, Kabupaten Katingan, Provinsi Kalimantan Tengah
Get PDFAdministratively, research area ( 9.930 Ha) is located at Petak Malai District, Katingan Regency, Central Kalimantan Province. This research is aimed to know the coal outcrop position, the number of coal seam and to measure of coal resources. The research is done by geological mapping of coal and other lithology at the field. The next phase is correlate some of coal outcrop and make a geological map. The last phase is calculating measured resource and indicated resource of all coal seams.There are ten of coal outcrops in the research area. The ten coal outcrop can be correlate and it becomes three coal seams which have 0.13 m to >0.7 m thick. This coal outcrop is found at Claystone-Sandstone Unit of Dahor Formationwhich lies at central part of the research area. Measured resource of coal resources calculation of research area is 873,050.1 ton. Indicated resource of this research area is 4,524,346 ton.Geological structure formed in the study area is fold and joint. The fold axis is relatively north-south trend. Anticline and syncline fold are the main control of the coal spread
Perbaikan Sifat Reologi Visco-Elastic Aspal dengan Penambahan Asbuton Murni Menggunakan Parameter Complex Shear Modulus
Get PDFThe increasing demand of crude oil will increase the price of petroleum asphalt. Indonesia has imported asphalt to meet the need for the annually road construction and maintenance. One solution to improving the rheological properties of bitumen is by adding the harder bitumen or other chemical compound to reduce dependence to petroleum asphalt. In Indonesia there is a source of natural asphalt in Buton Island, Sulawesi with huge amount of deposit that potentially could improve the rheological properties of Pen 60/70 Petroleum Asphalt. In order to obtain a better understanding on the contribution of Asbuton to the improvement of performance on rheological properties, this research used 19 variations of Asbuton and pen 60/70 petroleum bitumen. This variation is then subjected to the basic rheology test and the mechanistic test using Dynamic Shear Rheometer. The conclusion of basic rheological performance is obtained that mixture (Asbuton and 60/70 petroleum bitumen) will increase hardness of bitumen. Conclusion on mechanistic rheological performance is that mixture (Asbuton and 60/70 petrol bitumen) will increase Performance Grade (PG) and Complex Shear Modulus (G*). The results from the analysis of Master Curve and Black Diagram, it is shown that the increasing proportion of bitumen Asbuton will decrease the phase angle (δ) but its temperature susceptibility is worse
Studi Potensi Minyak Dangkal dengan Pendekatan Metode Statistik Berdasar Data Geologi Permukaan Di Cekungan Banyumas
Get PDFBanyumas basin is part of South Java Fore Arc Basin. Tectonically, Banyumas basin also included in South Central Java Region, where the main structure are trending Northwest – Southeast and Northeast – Southwest. Stratigraphically, the formation sequence from the oldest to the youngest are : Gabon Formation, Pemali Formation, Kalipucang Formation, Rambatan Formation, Halang Formation, Tapak Formation and Alluvium & Volcanic deposits. Banyumas basin and surrounding area have several oil and gas seep. This seep indicating there are mature source rock that had been migrate to the surface. The factor required for existing of hydrocarbon is called petroleum systems, and the factor are : mature source rock, reservoir rock, cap rock/seal rock, trap and proper timing of migration. The study of shallow oil potential is a preliminary step to find the suitable exploration concept for Banyumas basin. This step is used after the discovery of shallow oil accidentally in about 90 meters depth in Tipar Village, Ajibarang sub-district. This study using the surface geological data and secondary data available and also scientific paper, related to Banyumas basin. Statistical method approaching is using the assumption of minimum probability (P10) to estimate the reserves potential of shallow oil that probably exist in Banyumas basin, and the result is the reserves potential about 2,181,937 barrels oil
Gray-Scale Image Colorization Using Various Affinity Functions
Get PDFIn this paper, we have proposed, implemented, and compared some affinity functions for an image colorization algorithm. The colorization qualityof the proposed affinityfunctions was just slightly behind the original functions, while one of the proposed functions performed faster than the original affinity function. We also implemented the colorization algorithm for coloring an Indonesian historical image
Jumlah Transisi pada Ciri Transisi dalam Pengenalan Pola Tulisan Tangan Aksara Jawa Nglegeno dengan Multiclass Support Vector Machines
Get PDFFeature extraction is one of the most improtant step on characters recognition system. Transition features is one from many features used on characters recognition system. This paper report a research on handwritten basic Jawanesse characters recognition system to found the proper numbers of transitions used on transition features. To recognize the characters,the Multiclass Support Vector Machines were used. The Directed Acyclic Graph (DAG) SVM were used for multiclass classification strategy and to map each input vector to a higher dimention space, the Gaussian Radial Basis Function (RBF) kernel with parameter 1were used. It can be shown, for basicJawanesse characters recognition system, the optimal numbers of transitions used for transition features is 4 (a half of maximum numbers of transition on all patterns)
Peningkatan Produktivitas Konstruksi Melalui Pemilihan Metode Konstruksi
Get PDFProductivity growth in the construction is lower than that of in the industry sector. Level of innovation in this sector is too low. Many problems of inefficiency in the construction process are a lotof waste of resources that do not produce value. According to  LCI (Lean ConstructionInstitute) waste in the construction industry is about 57% while the activity that adds value is only 10%. The construction industry has a lot to learn from manufacture industry. Some innovations by applying an appropriate and efficient  methods in the field of construction adopted many of the manufacturing, including modular systems/fabrication (precast concrete). Construction materials are mass produced in acontrolled environment and then assembled inthe site. The use of precast on any project shows that there are advantages obtained are: cheaper, faster/more productive and guaranteed quality. The duration of the Rusunawa (Simple Flats for Rent) Structure construction phase in Cilacap for precast method is 168 days while for the implementation of the conventional method is 196 days. The duration of the construction of precast structures is faster 28 days (14%) faster than that of the conventional structures. In high-speed rail project on the border of Belgium and the Netherlands, use Rheda 2000 NL method, which development of Rheda method, can increase productivity and lower overtime costs as 24.6%. In the residential case, quicklyconstructed building criteria can be categorizedinto several aspects, such as dimensions, weight components and connection systems.The suitable selection criteria will accelerate instalment proses of the wall panel
UNJUK KERJA VOICE OVER INTERNET PROTOCOL PADA JARINGAN LOKAL UNIVERSITAS JENDERAL SOEDIRMAN
Get PDFJenderal Soedirman University (UNSOED) LAN covers all of its units that spread not only in Purwokerto area, but also in Purbalingga. Therefore, it may be possible to implement VoIP system in order to replace the internal campus voice telecommunication system that still use PSTN and PABX (line extensions). The Implementation of VoIP technology into UNSOED LAN needs a VoIP server prototype to be built for quality testing. VoIP quality of service (QoS) is based on delay, jitter, and packet loss. These parameters will be used as QoS test parameters in this research. We also add subjective test runs by users to measure the voice quality of VoIP. According to Ridwan (2011), the optimum codec that can be applied in UNSOED LAN is iLBC. Our research result shows that the highest mean for delay, jitter, packet loss respectively are 3 milliseconds, 19,333 milliseconds, 1%, and the voice quality is good . These indicated that the VoIP QoS and voice quality on UNSOED LAN is in a good category
Ekstraksi Ciri Batang untuk Pengenalan Nomer Rekening Tulisan Tangan dengan Jaringan Syaraf Tiruan Perambatan Balik
Get PDFHandwriting number recognition was being challenge problem to do in the recent years. The main objective for our research waso recognized handwritten account number. The original data was bank deposit slip that acquired by scanner. Before do the recognition of account number handwritten, first step that must be done was located account number on the bank deposit slip. After the location was found then the account number was segmented to cut up each numbern. After cutting the stem then performed feature extraction to obtain a vector which was fed to the neural network system for recognition rate. System back propagation neural network for handwritten digit pattern recognition was designed by 168neuron consists of input layer, 70 neurons in the hidden layer and 10 neurons in the output layer. The results obtained in this study were 83.78% of the data slip can be recognized correctly