Jurnal Inovasi Teknologi Terapan
About the Journal Jurnal Inovasi Teknologi Terapan (JITT) dikelola oleh Politeknik Manufaktur Negeri Bangka Belitung sebagai wadah rutin bagi sivitas akademika dan praktisi dalam berbagi pengetahuan, temuan, dan pengalaman dalam hal inovasi teknologi terapan yang berkelanjutan. JITT ini merupakan ajang publikasi ilmiah mengundang para sivitas akademika dan praktisi untuk ikut serta sebagai penulis dalam mempublikasikan hasil-hasil penelitian dan pengembangan ilmu. Topik JITT (tidak terbatas pada): Elektronika, Kontrol, Otomasi, Robotika, Mekanik, Mesin, Material, Manufaktur, Perawatan Mesin, Information Technology, Programming, Energi Terbarukan, Kecerdasan Buatan, Computer Network, Kontrol Otomatis, Teknologi Pertanian dan Perikanan, Desain dan Rekayasa Mekanik. Jurnal Inovasi Teknologi Terapan (JITT) is managed by Politeknik Manufaktur Negeri Bangka Belitung as a regular forum for academics and practitioners to share knowledge, findings, and experiences in terms of sustainable applied technological innovation. JITT is a scientific publication event inviting academics and practitioners to participate as writers in publishing the results of research and development of science. JITT Topics (not limited to): Electronics, Control, Automation, Robotics, Mechanics, Machinery, Materials, Manufacturing, Machine Maintenance, Information Technology, Programming, Renewable Energy, Artificial Intelligence, Computer Networks, Automatic Control, Agricultural Technology and Fisheries, Design and Mechanical Engineering.
Articles
204 Documents
<![CDATA[Sistem Pengenalan Wajah Mahasiswa Praktikum Di Laboratorium Teknik Elektro dan Informatika Polmanbabel Menggunakan Convolutional Neural Network (CNN) ]]>
<![CDATA[Akbar Nugraha, Fauzan]]>;
<![CDATA[Ayu Fazira, Hanum]]>;
<![CDATA[Iqbal Nugraha, Muhammad]]>;
<![CDATA[Febriansyah, Aan]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 1 No. 1 (2023): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v1i1.22
<![CDATA[Facial recognition is a type of biometric based on human facial features. Face recognition is very important for an institution such as a university where many students make it difficult for employees to recognize students one by one. This study used students as objects and focused on one laboratory room. The goal is to identify anyone who is in the laboratory room. The Convolutional Neural Network (CNN) method with a webcam is used in this study to recognize the faces of students or anyone who enters the laboratory. The system will report anyone caught by the camera including those who are not recognized. Based on the experimental results, data is obtained that the system can recognize objects well up to a distance of 4 maters and the optimum for 100% accuracy is at a distance of 3 meters. Accuracy will decrease if the distance from the object to the camera is less than 3 meters, which is 93,33% for a distance of 2 meters and 86,67% for a distance of 1 meter.]]>
<![CDATA[Analisis Kekasaran Permukaan Pada Pengaruh Kecepatan Spindel Dan Feeding Terhadap Material Baja AISI 1045 Pada Mesin Bubut CNC ]]>
<![CDATA[Aththabary Priatama, Muhammad Rizllah]]>;
<![CDATA[Oktriadi, Yudi]]>;
<![CDATA[Zulfitriyanto, Zulfitriyanto]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 1 No. 1 (2023): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v1i1.23
<![CDATA[In this era of increasingly advanced industrial technology development, of course, everyone wants the best results in making a product. For example in the machining process, one of which is CNC lathe machining, the level of roughness of a product really needs to be reviewed. The minimum surface roughness shows that the quality of a CNC machining process is very good, because the smaller the surface roughness value, the greater the quality value of a product, therefore in order to achieve this goal it is necessary to set the right parameters. Parameters varied were spindle speed (Rpm) and feeding. In this study the method used is the experimental method, with a combination of parameters to obtain surface roughness values. The material used is AISI 1045 steel, with the results of the data being analyzed using the Taguchi Smaller the Better method in Minitab 21.3 software. From the results of the calculation of the mean factor, the percent contribution to the spindle speed was obtained at 56.28%, while at feeding it was obtained at 38.14%. The optimal roughness value is obtained from the combination of parameters in the CNC lathe process on AISI 1045 steel which can make the optimal response value obtained at a spindle speed of 1645 rpm and a feeding of 0.18 mm/rev.]]>
<![CDATA[Analisis Pengaruh Variasi Kecepatan Spindel Dan Feeding Terhadap Nilai Kekasaran Permukaan Proses Finishing Bubut CNC ]]>
<![CDATA[Smith, Adam]]>;
<![CDATA[Oktriadi, Yudi]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 1 No. 2 (2023): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v1i2.24
<![CDATA[In the industrial sector, technological progress has experienced very rapid development. So that the manufacturing industry is required to be able to produce quality products and a high level of accuracy with fast processing. One machine that can meet these demands is a CNC lathe, where a CNC lathe is a machine that is controlled using a computer system in its operation. In the machining process of CNC lathes, the level of surface roughness of the machining material is of great concern, because the lower the surface roughness value, the better the quality of the product. Therefore, the aim of this study was to obtain a low surface roughness value using a finishing cutting edge. The material used is AISI 1045 steel which is turned using a MORI SEIKI SL-25 CNC machine. The parameters used are spindle speed and feeding. The research method used was the Taguchi method with an orthogonal matrix L9(32) experimental design and 3 replications were carried out to reduce large deviations. The result of this research is to obtain a combination of parameters that produce minimum surface roughness values, namely spindle speed of 1804 rpm and feeding of 0.1 mm/put. And the parameter that has the greatest effect on the value of roughness is feeding with a difference of 16.029 and the one that has the least effect on the value of surface roughness is spindle speed with a difference of 1.384.]]>
<![CDATA[Analisis Kekasaran Permukaan Benda Kerja Terhadap Pemakanan Kering dan Basah Terhadap Material Baja AISI 1045 Pada Proses Pemesinan CNC Bubut ]]>
<![CDATA[Verdian, Muhammad]]>;
<![CDATA[Oktriadi, Yudi]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 1 No. 2 (2023): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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<![CDATA[Times are growing rapidly. One of them is marked by the development of technology that facilitates human work, for example CNC lathes. In the machining process, a CNC lathe produces a surface roughness value. The smaller the surface roughness value, the better. The tool for measuring surface roughness is the Surface Roughness Tester. The purpose of this study was to obtain the surface roughness value of the dry and wet feed machining processes or by using a cooling medium and not using a cooling medium, namely drromus, which then obtained the best results from the two feeding processes. The method used is the Taguchi method developed by Genichi Taguchi where this method is used to improve the quality of production results from the manufacturing process. The results of the surface roughness research obtained for wet food from 3 repetitions on average were 2.068, 1.233, 1.621 and 1.253. And the yield values for dry food processing are 1.670, 0.987, 1.146 and 1.679. The conclusion obtained is that the smallest roughness value in the wet feeding process is 1.233 with parameters RPM 1273.88, Deft Of Cut 1mm, and Feeding 0.16 mm/put. And for dry feeding it is 0.987 with parameters RPM 1273.88, Deft Of Cut 1mm, and Feeding 0.16 mm/put.]]>
<![CDATA[Optimasi Sudut Baji, Kecepatan Pemakanan & Rpm Terhadap Kekasaran Permukaan Material SCM 440 Dengan Metode Respon Surface (RSM) ]]>
<![CDATA[Saputra, Deri]]>;
<![CDATA[Kurniawan, Zaldy]]>;
<![CDATA[Husman, Husman]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 1 No. 2 (2023): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v1i2.27
<![CDATA[The development of manufacturing technology has developed so rapidly. In this study, SCM 440 steel material was used, which is an alloy steel of chromium molybdenum. This steel has the advantages of stable composition,low harmful elements,high steel purity. Surface roughness is important, surface roughness is defined as the irregularity of surface configuration in an object resulting from a finishing process. This study aims to determine the influence of process variables on the surface roughness rate of SCM 440 material by varying the total cutting angles of 700,750 and 800 then variations in feeding speed of 0.08mm, 0.09mm, and 0.10mm and spindle speed or RPM, namely 160,220, and 280 puts / min in the RSM method. The Rspon Surface method is a set of mathematical and statistical techniques that are useful for analyzing problems where several independent variables affect the response variable and determine the optimal value of the process variable. From the results of the study, the value of the Second order yˆ = + 0.092224 X1² + 0.208515 X2² - 0.03661 X3² was obtained. With stationary point value X0 = ( total Cut angle ) = - 0.382409, X0 = (feeding) = 0.161715, X0 = (RPM) = 0.578250. and found the optimal values of Wedge Angle (78.212), Feeding Speed (0.095 mm) and RPM (278.29 put/min). Then it can be analyzed the optimal value that is different from the value of the RSM method framework and if the values are the same then the research fails.]]>
<![CDATA[Sistem Informasi Perwalian Adopsi MBKM di Polman Negeri Babel ]]>
<![CDATA[Fitri, Salsabilah]]>;
<![CDATA[Rissinta, Rissinta]]>;
<![CDATA[Josi, Ahmat]]>;
<![CDATA[Andriyanto, Sidhiq]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 1 No. 1 (2023): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v1i1.28
<![CDATA[The guidance process and credit claims in Polman Negeri Babel are still carried out manually, where each guardian lecturer must retrieve and process student data without using an information system that makes the results inaccurate. Because of this, we build Website-based independent adoption guardianship information system for independent campus learning (MBKM). The result achieved is the use of a Website-based information system that can facilitate guidance and claim credits. The output which is produced in this system is a summary of the semester guidance results and reports at the guardian lecturers.]]>
<![CDATA[Perbandingan Kinerja Algoritma YOLO Dan RCNN Pada Deteksi Plat Nomor Kendaraan ]]>
<![CDATA[Amanda Putri, Sesilia]]>;
<![CDATA[Ramadhan, Gilang]]>;
<![CDATA[Alwildan, Zein]]>;
<![CDATA[Irwan, Irwan]]>;
<![CDATA[Afriansyah, Riki]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 1 No. 1 (2023): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v1i1.30
<![CDATA[Vehicle license plate detection is a system used to automatically recognize and identify license plates on passing vehicles. This system is useful to assist in managing traffic, reducing crime, and increasing the efficiency of the transportation system. However, in its implementation, license plate detection often encounters difficulties due to variations in shape, color, and lighting conditions. In addition, vehicle license plates are also cut off or distorted in digital images, which can complicate the detection process. To solve these problems, an effective method is needed to identify objects from digital images. This study aims to evaluate and compare the performance of two popular algorithms used for vehicle license plate detection, namely YOLO (You only look once) and RCNN (Region Convolutional Neural network). The performance evaluation of the two algorithms uses the same dataset so that their accuracy can be compared. The results showed that the YOLOv4 algorithm has a higher level of detection accuracy than RCNN with an accuracy of 96% and 87,8%, respectively. Based on these results it can be concluded that YOLOv4 is more suitable for use in vehicle license plate detection applications with prioritized speeds.]]>
<![CDATA[Pengaruh Parameter Proses Terhadap Kekasaran Permukaan Menggunakan Filamen PETG (Polyethylene Terephthalate Glycol) ]]>
<![CDATA[Aji, Bayu]]>;
<![CDATA[Pristiansyah, Pristiansyah]]>;
<![CDATA[Ariyani, Yang Fitri]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 1 No. 2 (2023): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v1i2.32
<![CDATA[3D printing is a manufacturing process technology that has been developed to create a fast prototype according to the desired design, one of which is FDM (Fused Deposition Modeling) technology. Fused Deposition Modeling (FDM) technology is a printing technique used to print products using fibrous materials, the printed products have ideal geometric characteristics. The working principle of FDM is by extruding thermoplastic through a nozzle at a melting temperature, then the product is printed layer by layer. In this study the filament used is PETG (Polyethylene Terephthalate Glycol) filament. In this study using the Taghuci L9(4^3) OA method. This study aims to determine the most optimal process parameters with the parameters used in surface roughness testing according to the process parameters used, namely Nozzle Temperature, Flowrate, Printing Speed, Layer Thickness. the results of the research that has been carried out show the optimum parameter values for surface roughness, namely Nozzle Temperature (230℃), Flowrate (110%), Printing Speed (40mm/s), Layer Thickness (0.15mm).]]>
<![CDATA[Analisis Pengaruh Ayunan Elektroda Las Terhadap Uji Kekerasan Baja Aisi 1045 Pada Area Haz ]]>
<![CDATA[Agus, Darma Afriliansyah]]>;
<![CDATA[Tuparjono, Tuparjono]]>;
<![CDATA[Erwansyah, Erwansyah]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 1 No. 2 (2023): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v1i2.33
<![CDATA[In the welding process, the swing of the electrode is very influential on the mechanical properties of the weld. The purpose of this study was to determine the hardness value in the HAZ area of AISI 1045 steel due to differences in SMAW welding electrode swing. The method in this study uses experimental research methods, namely describing comparisons of treated specimens using the help of the Microsoft Excel application. The material used in this study was AISI 1045 medium carbon steel which was welded using SMAW welding with variations of zig-zag, circular and C swing electrodes with 1G position. The results of this study prove that the electrode swing has a significant effect on the hardness value. It can be seen that the test material with a circular swing pattern has a higher value than the zigzag and C swing patterns. This is shown by testing the hardness test in the HAZ area where the circular swing pattern gets average. -the highest average hardness value is 23.47 HRC. Meanwhile, the lowest average hardness value is in the C swing pattern of 20.46 HRC. Electrode swing has an influence on the hardness value. The circular swing pattern has a higher value than the zigzag and C swing patterns.]]>
<![CDATA[Analisis Pengaruh Nilai Parameter Proses Pemesinan Milling Terhadap Kekasaran Permukaan Almunium 7075 ]]>
<![CDATA[Mahendra, Anan]]>;
<![CDATA[Yudo, Eko]]>;
<![CDATA[Kurniawan, Zaldy]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 1 No. 2 (2023): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v1i2.35
<![CDATA[Miiling machining is one of the machining processes that are widely used for the manufacture of a component of goods with a milling machining process, the time required to make components should be as minimal as possible so that high production capacity can be achieved. The maximum cutting process parameter will result in a high rate of material feeding, so it can also result in the appropriate surface roughness (Ra) desired. The purpose of this study is to obtain the lowest surface roughness value produced by the process from CNC milling with the parameters used and to determine the level of roughness of the aluminum surface using the depth of cut, cutting speed, and rotation speed. The method used is the Taguchi method with three parameters, namely spindle rotation (Rpm), Feeding Depth, Feeding Speed taken from this study the results of a tool data called roungnes tester obtained and directly retrieving the most optimal value data of 0.239 Ra which has been averaged. Then in the percentage up to these three factors that have been done.from the results have been obtained have a small prenstasi of 30% and obtained a response value of less than 1%. This taguchi method is to improve product quality and process in about the same time. The results of this optimization are used to try the operator's consideration when determining the combination to get the optimal value possible.]]>
