International Journal of Science, Engineering and Information Technology
International journal of science, engineering and information techology (IJSEIT) is open access and peer-reviewed journal, published by Universitas Trunojoyo Madura which. We escalate both theoretical and experimental papers of permanent interest, not previously published in a journal that aims to promote the theory and practice of science, engineering and information technology. In addition to peer-reviewed original research papers, the Editorial Board welcomes original research reports, state-of-art reviews and communications in the broadly defined field of science, engineering and information technology Faculty of Engineering , The University of Trunojoyo Madura, Jl. Raya Telang PO BOX 2 Kamal, Bangkalan, 66192, East Java, Indonesia Publication Schedule : July and December First edition : December 2016 The scope of IJSEIT includes a wide spectrum of subjects including Science (Mathematics, Physics, Biology, Chemistry, Social Science, Material Sciences, Food Sciences, Environmental Science, Earth Science, Space Science, Agricultural Science, Sustainable Development, Applied Physics, Communicable Diseases, Emergency Medicine, Micro-Nano Sciences, Environmental Health). Engineering (Automotive Technologies, Material Engineering, Construction Materials, Design and Manufacturing, Dynamics and Control, Energy Generation, Utilization, Conversion, Fluid Mechanics and Hydraulics, Heat and Mass Transfer, Renewable and Sustainable Energy Technologies, Robotics and Mechatronics, Solid Mechanics and Structure, Thermal Sciences, Computer Vision and Robotics, Control Theory, Electromagnetic Waves, Microwave Techniques and Antennas, Embedded Systems, Integrated Circuits, VLSI Design, Testing, Microelectromechanical Systems, Microelectronics, Electronic Devices and Circuits, Power, Energy, and Signal). Information Technology and Systems (Coding, Cryptography, and Information Protection, Communications, Networks, Mobile Computing, and Distributed Systems, Compilers and Operating Systems, Computer Architecture, Supply Chain Management, Image Processing, Speech Processing, Strategy, Change Management, Human Resources, System Development, and Implementation, Communications, Software Engineering, Technology Developments, Technology Futures, Data Mining, Information Retrieval, Big Data, Internet, Cloud Data Management, E-Government, Smart City, Knowledge Management, Service Innovation, Digital Enablement, Business Process Management, Web Semantics, Visual and Audio Information Systems, Scientific Computing, and Organisational Behaviour).
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142 Documents
<![CDATA[Network Security Analysis and Bandwidth Management ]]>
<![CDATA[Bagus Aji Saputro]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 5, No 02 (2021): IJSEIT Volume. 05 Issue 02. JULY 2021 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v5i02.6481
<![CDATA[Computer network users have to spend a lot of money to use the Internet. The Internet has given a very big change in the dissemination of information, so that many people are using data through the Internet. This problem can be solved by MikroTik as a regulator of Internet data traffic and limiting bandwidth that can interfere with computer network activities in accordance with the regulations that have been applied. As a result of not being limited in bandwidth, it causes an overload on a network which has an impact on disrupting internet traffic on that network. Each agency should implement bandwidth restrictions according to the needs of users using the internet. Result from this research is not being limited in bandwidth, it causes an overload on a network which has an impact on disrupting internet traffic on that network. Each agency should implement bandwidth restrictions according to the needs of users using the internet.]]>
<![CDATA[Decision Supporting System For Malang City Baseball and Softball Athletes Selection Using The Vikor Method ]]>
<![CDATA[Eka Larasati Amalia]]>;
<![CDATA[Deasy Sandhya Elya Ikawati]]>;
<![CDATA[Muhammad Arya Puja Laksana]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 5, No 1 (2020): IJSEIT Volume. 05 Issue. 01 DECEMBER 2020 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v5i1.8101
<![CDATA[Decision support system is a computer-based system that is used to solve problems by semi-structured and unstructured conditions. In this case, the best solution can be found from certain criteria and provided alternatives and is easy to use by users. In this study, researchers designed and built a website-based decision support system to select athletes in PERBASASI Malang with the provided test criteria, namely the hit test, catch test, throw test, and run test. The purpose of this study was to provide recommendations for participants who passed the selection based on test scores that have been processed using the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. From the results of calculations, the use of the VIKOR method for this case study produced an accuracy value of 90.90%, a precision value of 93.33%, and a recall value of 93.33%. In addition, the VIKOR sensitivity test showed a consistent ranking of the calculation of the value with veto (value of v less than 0.5), by consensus (value of v is 0.5), and voting by majority rule (value of v more than 0.5). User testing that was applied by using each level of the existing account, i.e. administrator account level, selection account level, and members account level conducted on this information system concluded that the system that was built was running smoothly and was easy to use.]]>
<![CDATA[Estimation Model of Mangrove Carbon Stock Using LDCM Imagery ]]>
<![CDATA[Firman Farid Muhsoni]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 5, No 1 (2020): IJSEIT Volume. 05 Issue. 01 DECEMBER 2020 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v5i1.9116
<![CDATA[Mangroves are one of the forest ecosystems with the capacity to reduce greenhouse effect. However, there is limited data on thecarbon absorbent properties, and, a fast as well as accurate method of estimating the stock in mangrove is needed. The objective of this research, therefore, was to obtain an estimation model of mangrove carbon stocks, using LDCM satellite imagery. Thisdevelopment involved a hybrid method,where information obtainedfrom LDCM satellite imagery were combined with the field data. The result of this studyidentified the best model to estimate carbon stock. This involvedthe combination of total vegetation stock, using the VARI vegetation index (power regression/ geometry) and soil composition, basedon six variables multiple regression.The%RMSE test result was determined to be 9.58%. In addition, field data was not required in modelsinvolving two variables (MSAVI vegetation index and average sediment depth 100.6 cm), and the % RMSE determined was 34.18%.]]>
<![CDATA[IBSI Education “SIWESI” Quality Measurement Based on System Technical Viewpoint ]]>
<![CDATA[Sindi Dwi Putri S]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 5, No 02 (2021): IJSEIT Volume. 05 Issue 02. JULY 2021 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v5i02.7820
<![CDATA[The need for information systems is increasing every year. The information system of an organization or company is useful for managing data to produce useful and effective information that supports activities and all levels of management that use it. The aspect of software quality is one of the important things in the development of a software. To determine the quality of software products, a measurement is needed. IBSI Education, one of which is a Tutoring Institution that uses “SiWeSi” to support administration, view schedules, see student progress, and so on. The success of the software that is built is based on whether or not the software works according to the objectives to be achieved. In the scientific concept of software engineering, the success of software is not only seen from the suitability of the resulting product to existing needs. The success of the software is also seen from the software development process. This study uses the McCall quality model because this method fulfills many components of the assessment and looks at quality from the user's point of view. The quality model used to measure the quality of SIWESI is determined from the results of the literature study.]]>
<![CDATA[Application of the EOQ (Economic Order Quantity) Method in Determining Chemical Supplies in PT. Semen Indonesia ]]>
<![CDATA[Hidayat Hidayat]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 5, No 1 (2020): IJSEIT Volume. 05 Issue. 01 DECEMBER 2020 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v5i1.8911
<![CDATA[The competition among products has become commonplace in the industrial world in Indonesia. PT. Semen Indonesia is a company with extraordinary development prospects. Quality control is needed in order to control the product so that when it arrives at the consumer the product is in its best condition, or when the product is still in process, production can be maximized. The method used in this research is Economic Order quantity (EOQ). Based on the resercah, the number of orders for each ingredient is for ammonium nitrate 1, barium chloride 1, ethanol 3, glycerol 1, hydrocloric acid 2, sodium hydroxide 3, strontium nitrate 2. Then, the ROP point or time to reorder each ingredient is for ammonium nitrate 2, barium chloride 4, ethanol 33, glycerol 16, hydrocloric acid 21, sodium hydroxide 4, strontium nitrate 13.Keywords: EOQ (Economic Order Quantity), Chemical Supplies, PT.Semen Indonesia]]>
<![CDATA[Image Classification of Beef and Pork Using Convolutional Neural Network in Keras Framework ]]>
<![CDATA[salsa bila]]>;
<![CDATA[Anwar Fitrianto]]>;
<![CDATA[Bagus Sartono]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 5, No 02 (2021): IJSEIT Volume. 05 Issue 02. JULY 2021 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v5i02.9864
<![CDATA[Beef is a food ingredient that has a high selling value. Such high prices make some people manipulate sales in markets or other shopping venues, such as mixing beef and pork. The difference between pork and beef is actually from the color and texture of the meat. However, many people do not understand these differences yet. In addition to socialization related to understanding the differences between the two types of meat, another solution is to create a technology that can recognize and differentiate pork and beef. That is what underlies this research to build a system that can classify the two types of meat. Convolutional Neural Network (CNN) is one of the Deep Learning methods and the development of Artificial Intelligence science that can be applied to classify images. Several regularization techniques include Dropout, L2, and Max-Norm were applied to the model and compared to obtain the best classification results and may predict new data accurately. It has known that the highest accuracy of 97.56% obtained from the CNN model by applying the Dropout technique using 0.7 supported by hyperparameters such as Adam's optimizer, 128 neurons in the fully connected layer, ReLu activation function, and 3 fully connected layers. The reason that also underlies the selection of the model is the low error rate of the model, which is only 0.111.Keywords: Beef and Pork, Model, Classification, CNN]]>
<![CDATA[Analysis Of Load Variations On ST 60 Steel Using Vickers Method ]]>
<![CDATA[Hidayat, Hidayat]]>;
<![CDATA[Jufriyanto, Moh.]]>;
<![CDATA[Ningtyas, Alviani Hesthi Permata]]>;
<![CDATA[Yusron, Rifky]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 5, No 1 (2020): IJSEIT Volume. 05 Issue. 01 DECEMBER 2020 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v5i1.8940
<![CDATA[The use of metal in the industrial world, especially ST60 Steel, is a very vital need, this can be seen from the increasing number of machine or equipment components or construction parts made of steel. Hardness is one of the mechanical properties that is often used as a guide in selecting materials for an equipment component. To find out the hardness price of a material, various testing methods can be used, including the Vickers method, which is tested by applying a force to the indented diamond pyramid against the material for which the hardness value is determined. The amount of hardness value is determined by the magnitude of the loading force divided by the area of indentation. In this study, what was investigated was the effect of force on the hardness of the Vickers method. The results showed that the load variation had little effect on the results of the Vickers hardness value, especially for high loads (100 Kgf). The average hardness value for the mild steel being tested is 163 HV and 168 HV, the highest hardness value is 174 HV and the lowest hardness value is 156 HV, so that a tolerance of ± 10 HV commonly used in the Vickers test is sufficient.Keywords: Hardness, ST 60 Steel , Loading Variations, Vickers Test]]>
<![CDATA[Feature Selection and K-nearest Neighbor for Diagnosis Cow Disease ]]>
<![CDATA[Yeni Kustiyahningsih]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 5, No 02 (2021): IJSEIT Volume. 05 Issue 02. JULY 2021 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v5i02.10218
<![CDATA[The large number of cattle population that exists can increase the potential for developing cow disease. Lack of knowledge about various kinds of cattle diseases and their handling solutions is one of the causes of decreasing cow productivity. The aim of this research is to classify cattle disease quickly and accurately to assist cattle breeders in accelerating detection and handling of cattle disease. This study uses K-Nearest Neighbour (KNN) classification method with the F-Score feature selection. The KNN method is used for disease classification based on the distance between training data and test data, while F-Score feature selection is used to reduce the attribute dimensions in order to obtain the relevant attributes. The data set used was data on cattle disease in Madura with a total of 350 data consisting of 21 features and 7 classes. Data were broken down using K-fold Cross Validation using k = 5. Based on the test results, the best accuracy was obtained with the number of features = 18 and KNN (k = 3) which resulted in an accuracy of 94.28571, a recall of 0.942857 and a precision of 0.942857.]]>
<![CDATA[Synthesis of Biomaterial Hydroxyapatite from Limestone by Using Two-Step Conversion ]]>
<![CDATA[Saiful Arif]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 5, No 1 (2020): IJSEIT Volume. 05 Issue. 01 DECEMBER 2020 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v5i1.9002
<![CDATA[Hydroxyapatite [Ca10(PO4)6(OH)2] is natural ceramic material which is often used for artificial bone reconstruction. In this research, hydroxyapatite was synthesized from mineral of Calcite (CaCO3) which obtained from the Campurdarat, Tulungagung. The hydroxyapatite synthesis steps are encompassed by the preparation of precursors and the synthesis process by using wet chemical manipulation or routes. The XRF characterization shows that the percentage of calcium from the raw material is around 99%. This study succesfully obtains the compound of Ca(OH)2as a source of hydroxyapatite. The concentration of H3PO4 in hydroxyapatite synthesis process influences the synthesis results. For the concentration of H3PO4 0.6 M is still found the compound of Ca(OH)2. The difference result is shown H3PO4 with concentration 0.8 M which the total synthesis product is hydroxyapatite.]]>
<![CDATA[Mangrove Vegetation Mapping Using Sentinel-2A Imagery Based on Google Earth Engine Cloud Computing Platform ]]>
<![CDATA[Luhur Moekti Prayogo]]>
<![CDATA[ International Journal of Science, Engineering, and Information Technology Vol 6, No 1 (2021): IJSEIT Volume. 06 Issue. 01 DECEMBER 2021 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/ijseit.v6i1.12175
<![CDATA[Mangroves are trees whose habitat is affected by tides, and their presence has decreased from year to year. Today, mapping technology has undergone many developments, including the availability of images of various resolutions and cloud-based image processing. One of the popular platforms today is the Google Earth Engine. Google Earth Engine is a cloud-based platform that makes it easy to access high-performance computing resources for extensive processing. The advantage of using Google Earth Engine is that users do not have to be IT experts without experts in application development, WEB programming, and HTML. This study aims to conduct a study on mangrove mapping in Gili Genting District with Sentinel-2A imagery using a Google Earth Engine. This location was chosen since there are still many mangroves, especially on the Gili Raja and Gili Genting Islands. From this research, it can be concluded that cloud computing-based Sentinel-2A image processing shows that the vegetation value of NDVI results ranges from -0.923208 to 0.75579. The classification results show that mangrove forests' overall presence on Gili Genting Island is more expansive than Gili Raja Island with 16.74 ha and 14.75 ha. The use of the Google Earth Engine platform simplifies the analysis process because image processing can be done once with various scripts so that analysis becomes faster.]]>
