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Jurnal Teknologi Terapan
Published by Politeknik Negeri Indramayu
ISSN : 24773506     EISSN : 25491938     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering
JTT memuat naskah hasil-hasil penelitian di bidang teknologi terapan.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 292 Documents
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PENGARUH VARIASI METERING STROKE TERHADAP CACAT PRODUK CETAKAN INJEKSI PLASTIK Rahman Hakim; Amar Makruf; Ahmad Nurasa; Widodo Widodo; Irvan Wahyudi
Jurnal Teknologi Terapan Vol 6, No 2 (2020): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v6i2.262

Abstract

The research aims to analyze the effect of metering stroke on product quality. Metering strokes relate to product weight and mold capacity. The material used is Polyamide (Nylon) 66, using an ENGEL 50ton capacity Injection Molding machine.  The research method used is an experimental method before mass pre-production with stroke metering variation as a production parameter. A normality test was used to investigate the experimental data. Shapiro-Wilk's formula on Minitab® software was used to process the data. Product defects caused by an improper metering stroke often in the injection process are short mold and flashing prints. The results show that short mold production defects occur when the metering stroke is 60 mm due to the material does not fill the full cavity. Furthermore, flashing occurs when the metering stroke is 70 mm due to out of cavity capacity. Therefore, the appropriate parameter is a 65 mm metering stroke with good quality part results.
SISTEM PEMANTAUAN DAN KONTROL OTOMATIS KUALITAS AIR BERBASIS INTERNET OF THINGS (IOT) MENGGUNAKAN PLATFORM NODE-RED UNTUK BUDIDAYA UDANG Ahmad Rifa'i; M Udin Harun Al Rasyid; Agus Indra Gunawan
Jurnal Teknologi Terapan Vol 7, No 1 (2021): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v7i1.317

Abstract

Water quality in shrimp farming is an important factor that needs attention. Therefore good water quality becomes a measure of the success rate of shrimp cultivation. The main problem is the poor quality of water during the maintenance period. To overcome this problem, this paper proposes to use an Internet of things (IoT) device that can monitor water quality conditions and take preventive measures in the form of early notification and automatic control of each actuator in the cultivation pond. Some of the sensors used are Dissolved Oxygen (DO), Hydrogen Potential (pH), Turbidity, Water temperature and water level (ultrasonic sensor). Furthermore, water quality data will be sent to the server (Node-Red Platform) using the MQTT (Message Queue Telemetry Transport) protocol communication. Data processing carried out on the server uses the IFTTT (If This Then That) method and produces a decision in the form of a command (command set) to control the actuator on the actuator control node. From the performance test results, the delay occurs in sending data from the publisher to the subscriber is an average of 260 ms using the public HIVEMQ Broker. Whereas in automatic control testing, the response graph shows the action taken by the actuator control device after getting the command set generated by the IFTTT method on the Node-Red platform.
PERBANDINGAN KEMAMPUAN REGRESSION TESTING TOOL PADA REGRESSION TEST SELECTION: STARTS DAN EKSTAZI Asri Maspupah; Akhmad Bakhrun
Jurnal Teknologi Terapan Vol 7, No 1 (2021): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v7i1.319

Abstract

Regression testing as an essential activity in software development that has changed requirements. In practice, regression testing requires a lot of time so that an optimal strategy is needed. One approach that can be used to speed up execution time is the Regression Test Selection (RTS) approach. Currently, practitioners and academics have started to think about developing tools to optimize the process of implementing regression testing. Among them, STARTS and Ekstazi are the most popular regression testing tools among academics in running test case selection algorithms. This article discusses the comparison of the capabilities of the STARTS and Ekstazi features by using feature parameter evaluation. Both tools were tested with the same input data in the form of System Under Test (SUT) and test cases. The parameters used in the tool comparisons are platform technology, test case selection, functionality, usability and performance efficiency, the advantages, and disadvantages of the tool. he results of the trial show the differences and similarities between the features of STARTS and Ekstazi, so that it can be used by practitioners to take advantage of tools in the implementation of regression testing that suit their needs. In addition, experimental results show that the use of Ekstazi is more precise in sorting out important test cases and is more efficient, when compared to STARTS and regression testing with retest all.
ANALISA KUALITAS HASIL PRODUK PADA PENGERJAAN POCKETING DENGAN MESIN CNC FRAIS 3 AXIS Irfan Santosa; Siswiyanti Siswiyanti; Muhammad Nur Alif
Jurnal Teknologi Terapan Vol 7, No 2 (2021): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v7i2.324

Abstract

The manufacturing industry sector is experiencing increasing development. Especially CNC-based machines and the demands of consumers who want good workpiece quality, precision/accuracy of workpiece dimensions and roughness values are the main elements in the machining process. This study uses an experimental method, namely to determine the quality of the product (dimensions, time, geometry and roughness of the workpiece) in pocket work using a 3 axis CNC Milling Microcontroller Match 3 machine for the manufacture of aluminum ashtray products. For the parameters used, it uses a cutting speed of 150 mm/minute, a cutting depth of 0.5 mm with a Spindle rotation speed of 10,000 RPM. The results of this study can be seen in the aluminum ashtray product, the processing time is 1098 minutes, while the dimensions of the workpiece have an average tolerance of 0.28 mm and for the average roughness value N7 = 2.1 µm and it can be classified that the quality of the products made by the CNC Milling Machine 3 axis Microcontroller Match 3 in standard category for tolerance category and roughness value.
ANALISIS SENTIMEN PADA TWEET TERKAIT VAKSIN COVID-19 MENGGUNAKAN METODE SUPPORT VECTOR MACHINE Hashri Hayati; Muhammad Riza Alifi
Jurnal Teknologi Terapan Vol 7, No 2 (2021): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v7i2.349

Abstract

Covid-19 is a disease that has been declared a global pandemic since March 2020. One of the challenges in dealing with the current Covid-19 pandemic is the widespread doubts about the use of vaccines, even though vaccination is one of the most successful ways to deal with infectious disease outbreaks. Vaccine hesitancy can be observed, among others, from public sentiment or perception on social media, one of them is Twitter. The existence of social media can affect the absorption of information received by a person, in this case social media is also a medium for anti-vaccine propaganda which can result in a decrease in public confidence in the Covid-19 vaccine. This study aims to develop a classification model using the Support Vector Machine (SVM) method for sentiment analysis of Tweet related to the Covid-19 vaccine. Several previous studies have conducted sentiment analysis related to Covid-19, but this research specifically conducts sentiment analysis on the topic of the Covid-19 vaccine so that data preparation and model configuration will be different. This study also uses the Design Science Research Methodology (DSRM) for research as a whole before focusing on the use of the SVM method. The results of the study consist of an algorithm for creating data sets and a classification model for sentiment analysis that can be used to determine public perceptions of the issue of Covid-19 vaccination. This study also compares the use of unigram and bigram tokenization. Based on the results obtained, the average value of each aspect of the evaluation measurement is higher when the bigram tokenization is used. Although higher, the value obtained has an insignificant difference in the range of 0.6% - 0.7%. In the evaluation results using unigram and bigram tokenization, the highest scores for all aspects of measurement, namely accuracy, recall, f-measure, and precision were 84%.
DESAIN DAN SIMULASI SOCKET PROSTESIS BAWAH LUTUT DENGAN VARIASI MATERIAL BERBASIS KOMPOSIT Luthfi Ali Masykur; Donny Suryawan
Jurnal Teknologi Terapan Vol 7, No 2 (2021): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v7i2.337

Abstract

Each year, the number of disabled people in Indonesia increases. About 2.4 million people had some trouble walking in 2014. It includes 650,000 individuals who have significant difficulty walking and ascending stairs. Lower limb prostheses are an option for those who are unable to walk due to leg amputation. One of the most necessary parts of the below-knee prosthesis is the socket. Almost the local prosthetics socket did not give adequate information about the specification. It is a weakness of the local product because there is no guarantee of product safety. The lack of references and standards makes it difficult for manufacturers to improve their products to compete with imported products. This research is focused on the design and simulation of prosthesis sockets with various composite-based materials. The simulation method was adapted from ISO 10328 standard as the testing standard for prosthetics foot. The result shows that the sockets can be used for Indonesians with a calf circumference between 317-345 mm. The simulation results show that the suitable material for use is carbon fiber composite material with a thickness of 3 mm with a bolt hole of 6 mm.
PENGARUH TEMPERATUR EKSTRUSI TERHADAP SIFAT FISIS, KIMIAWI DAN KEKUATAN TARIK FILAMEN ULTRA HIGH MOLECULAR WEIGHT POLYETHYLENE (UHMWPE) Candra Irawan; Budi Arifvianto; Muslim Mahardika
Jurnal Teknologi Terapan Vol 7, No 2 (2021): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v7i2.325

Abstract

Currently, fused deposition modeling (FDM) has become a popular 3D printing technique for the fabrication of polymeric parts. In this technique, a polymer filament is melted and deposited layer-by-layer to form 3-dimensional objects. However, there are still limited number of polymer types that has been successfully used as a raw material for the FDM process. Up to now, there is still no filament made from ultra high molecular weight polyethylene (UHMWPE) available in the market. Therefore, a preliminary study concerning the fabrication of such UHMWPE filament needs to be conducted. In this study, the influence of extrusion temperature used in the fabrication of UHMWPE filament on the physical, chemical, and tensile strength of such filament was studied. The extrusion process was carried out by adding polyethylene glycol (PEG) and paraffin oil (PO) to improve the processability of UHMWPE material and with temperatures of 160 oC, 170 oC, and 180 °C. The result of examination by using electron microscope revealed that extrusion process of this polymer was running stable. The characterization by using differential scanning calorimetry (DSC) indicated a decrease in the degree of filament crystallinity as the extrusion temperature decreased. The characterization by using Fourier-transform infrared spectroscopy (FTIR) indicated no changes in the chemical compositions over the filament products with the increasing extrusion temperature applied. Meanwhile, it is also indicated from this study that the maximum tensile strength decreased as the extrusion temperature got lower. In this case, the highest maximum tensile strength could be achived by the UHMWPE filament extruded with temperature of 180 °C, i.e., with an average tensile strength of 22.52 MPa.
IMPLEMENTASI ALGORITMA K-MEDOIDS UNTUK CLUSTERING WILAYAH TERINFEKSI KASUS COVID-19 DI DKI JAKARTA Muh Arifandi; Arief Hermawan; Donny Avianto
Jurnal Teknologi Terapan Vol 7, No 2 (2021): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v7i2.353

Abstract

In early March 2019, Indonesia was hit by the Covid-19 (Corona) outbreak. The increase in the number of patients infected with the Covid-19 virus is increasing day by day and is already difficult to control. Jakarta is no exception. To prevent the increase in cases of COVID-19, it is necessary to create a cluster or grouping of certain areas (Urban village) based on the number of positive, treated, recovered, died and isolated. This grouping will assist the DKI Jakarta government in providing appropriate handling according to the Urban village pattern. The data that will be used as a research study is the data on the distribution of the status of infected cases of Covid-19 in DKI Jakarta Province on May 20, 2021. The K-Medoids algorithm is a method that can determine a set of clusters among a group of data that is close to an object. Based on the research studies that have been carried out, it can be concluded that in the data mining technique, the total grouping of Covid-19 infected cases based on urban areas in DKI Jakarta Province uses the k-medoids algorithm with three clusters. Cluster 0, cluster 1, cluster 2. The highest Covid-19 infected cases in DKI Jakarta Province are shown in cluster 3 with 31 regions. The results of this grouping research will assist the DKI Jakarta government in providing appropriate handling according to the Urban village pattern. K-Medoids can be implemented using large amounts of data with complex attributes.
SOFTWARE UNDER TEST DALAM PENELITIAN SOFTWARE TESTING: SEBUAH REVIEW Ani - Rahmani; Joe Lian Min; S Suprihanto
Jurnal Teknologi Terapan Vol 7, No 2 (2021): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v7i2.362

Abstract

Software under Test (SUT) is an essential aspect of software testing research activities. Preparation of the SUT is not simple. It requires accuracy, completeness and will affect the quality of the research conducted. Currently, there are several ways to utilize an SUT in software testing research: building an own SUT, utilization of open source to build an SUT, and SUT from the repository utilization. This article discusses the results of SUT identification in many software testing studies. The research is conducted in a systematic literature review (SLR) using the Kitchenham protocol. The review process is carried out on 86 articles published in 2017-2020. The article was selected after two selection stages: the Inclusion and Exclusion Criteria and the quality assessment. The study results show that the trend of using open source is very dominant. Some researchers use open source as the basis for developing SUT, while others use SUT from a repository that provides ready-to-use SUT. In this context, utilization of the SUT from the software infrastructure repository (SIR) and Defect4J are the most significant choice of researchers.
PEMANFAATAN TEKNOLOGI THERMAL ENERGY STORAGE NON-MEKANIK SEBAGAI PENGERING BAHAN PANGAN SINGKONG Rizki Muliawan
Jurnal Teknologi Terapan Vol 7, No 2 (2021): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v7i2.334

Abstract

A drying machine is a machine that is used to dry some food or product. The process of heating can be used to preserve some products because drying reduces moisture content in the product and bacterial can’t live without water. Solar pond system will use for the machine which caught and trap the heat from the sun. The fluid in a pond of solar pond system is saltwater and the salinity will be varied. The variation of saltwater will be 3.5%, 5%, and 7%. In the solar pond system, some coils will circulate the water towards the cabin. The coil is made of copper pipe which has a length of 20.5 meters. This coil serves as a heat exchanger charged with the heat exchange process in the solar pond system. The water in this coil is circulated by a water pump. Water is circulated to the heat exchanger which is just below the cabin. The product used is 500 grams of cassava. Cassava is dried with the skin peeled and sliced about 2 mm thick. From the experiments that have been done obtained the best saltwater concentration is 7% with a tub temperature lower by 40 °C, the cabin temperature reaches 34.1 °C, and the water reduced of product weight by 210 grams. The COPactual heating average obtained by this machine is 1,15 and the COPcarnot heating average obtained by this machine is 29,80. The efficiency average that obtained by this machine is 3,77%.

Page 20 of 30 | Total Record : 292

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