Journal of Engineering and Technological Sciences 2021-03-12T14:42:16+07:00 Prof.Dr. Tjandra Setiadi Open Journal Systems <p><em><img class="imgdesc" src="" alt="" />Journal of Engineering and Technological Sciences</em> welcomes full research articles in the area of Engineering Sciences from the following subject areas: Aerospace Engineering, Biotechnology, Chemical Engineering, Civil Engineering, Electrical Engineering, Engineering Physics, Environmental Engineering, Industrial Engineering, Information Engineering, Mechanical Engineering, Material Science and Engineering, Manufacturing Processes, Microelectronics, Mining Engineering, Petroleum Engineering, and other application of physical, biological, chemical and mathematical sciences in engineering. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.</p> <p>Starting from Vol. 35, No. 1, 2003, full articles published are available online at, and indexed by <a href=";tip=sid&amp;clean=0">Scopus (2019:Q2)</a>, <a href=",p24780957,3.html">Index Copernicus</a>, <a href=";hl=id">Google Scholar</a>, <a href="">DOAJ</a>, <a title="Journal of Engineering and Technological Sciences" href=";tip=sid&amp;clean=0" target="_blank" rel="noopener">The Elektronische Zeitschriftenbibliothek EZB by University Library of Regensburg</a>, <a href=";Find=Journal+of+Engineering+and+Technological+Sciences&amp;SearchType=Contains">EBSCO Open Science Directory</a>, <a href="">Ei Compendex</a>, Chemical Abstract Service (CAS), <a href="">Zurich Open Repository and Archive Journal Database</a>, <a href=";Full=*journal%20of%20engineering%20and%20technological%20sciences">Emerging Sources Citation Index</a> and <a href=";mod=viewjournal&amp;journal=7390">Indonesian Publication Index.</a></p> <p>The journal has been also accredited for five years based on The Decree of Directorate General of Research and Development Strengthening, Ministry of Research, Technology and Higher Education of the Republic of Indonesia No. 30/E/KPT/2018, for Volume 50 No.1, 2018 until Volume 54 No. 6, 2022.</p> <p>ISSN: 2337-5779<br />E-ISSN: 2338-5502</p> <p style="color: #000000; font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 10px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px;">Published by<span class="Apple-converted-space"> </span>the Institute for Research and Community Services, Institut Teknologi Bandung, in collaboration with <a href="">Indonesian Engineering Association (<em>Persatuan Insinyur Indonesia-PII</em>).</a></p> <p><span style="text-decoration: underline;"><strong>Publication History</strong></span></p> <p><strong>Formerly known as:</strong></p> <ul> <li>ITB Journal of Engineering Science (2007 - 2012)</li> <li>Proceedings ITB on Engineering Science (2003 - 2007)</li> <li>Proceedings ITB (1961 - 2002)</li> </ul> <p>Back issues can be read online at: <a href=""></a></p> <p><span style="text-decoration: underline;"><strong>Scimago Journal Ranking</strong></span></p> <p><a title="SCImago Journal &amp; Country Rank" href=";tip=sid&amp;exact=no"><img src=";title=true" alt="SCImago Journal &amp; Country Rank" border="0" /></a></p> <p><!-- Start of StatCounter Code for Default Guide --></p> <noscript>&amp;amp;amp;lt;div class="statcounter"&amp;amp;amp;gt;&amp;amp;amp;lt;a title="web statistics" href="" target="_blank"&amp;amp;amp;gt;&amp;amp;amp;lt;img class="statcounter" src="" alt="web statistics"&amp;amp;amp;gt;&amp;amp;amp;lt;/a&amp;amp;amp;gt;&amp;amp;amp;lt;/div&amp;amp;amp;gt;</noscript> <p><!-- End of StatCounter Code for Default Guide --> <a href="">View My Stats</a></p> <p><a href="" rel="license"><img style="border-width: 0;" src="" alt="Creative Commons License" /></a><br />This work is licensed under a <a href="" rel="license">Creative Commons Attribution-NoDerivatives 4.0 International License</a>.</p> Toward Improvement of Resistance Testing Reliability 2021-02-14T10:17:55+07:00 I. K.A.P. Utama Dian Purnamasari I Ketut Suastika Nurhadi Nurhadi Giles Thomas <p><strong>. </strong>Periodically conducting a benchmark test with estimated uncertainty is important to improve the quality of resistance predictions and understand the influence of instrumentation, testing procedures and analysis techniques. The LHI-007 Ro-Ro Ferry ship model, made available by the Maritime Research Institute Netherlands (MARIN), was used for benchmark testing from 2010 to 2018 at the Indonesian Hydrodynamic Laboratory. Comparisons were made between filtering the resistance data with a low-pass filter and with a Kalman filter. This work shows how benchmark tests can be used to track test performance over a longer period and proposes techniques to improve the uncertainty in the resistance results.</p> 2021-03-12T00:00:00+07:00 Copyright (c) 2021 Journal of Engineering and Technological Sciences Development of Volcano Early Warning System for Kelud Volcano 2021-02-14T22:56:49+07:00 Maria Evita Azka Zakiyyatuddin Sensius Seno Nina Siti Aminah Wahyu Srigutomo Irwan Meilano Ari Setiawan Herlan Darmawan Imam Suyanto Irzaman Irzaman Mohammad Yasin Perdinan Perdinan Retna Apsari Wahyudi Wahyudi Wiwit Suryanto Mitra Djamal <p class="Abstract">Kelud is one of Indonesian volcano lies between Kediri and Blitar districts of East Java province. This volcano has erupted since 1000 where casualties of 200000 people emerged until the last eruption in 2014. Therefore, it is needed a volcano early warning system to detect the eruption earlier for minimizing the casualties. We have developed an early warning system based on sensor nodes consist of vibration, temperature and gasses (sulfur and carbon dioxide) sensors to monitor the physical parameter of the volcano, drone surveillance, mapping and temperature measurement, and mobile robot consists of the same sensor as in the node for both normal and emergency situations. The system has been tested in Kelud volcano in August 2019. In a normal condition, the system has detected 1 Hz of seismicity, under 1 ppm of sulfur and carbon dioxide, 23-55.3<sup>o</sup>C of the lake temperature, 32<sup>o</sup>C of the ground temperature and 23-25<sup>o</sup>C of the air temperature. The system could be used for 37 hours of full operation for 1 charging cycles of solar cell’s charging process where suitable for dangerous environment application.</p> 2021-03-12T00:00:00+07:00 Copyright (c) 2021 Journal of Engineering and Technological Sciences Study of the Evaporation Process in the Spray Zone of a Mechanical Draft Wet Cooling Tower 2021-02-14T15:07:43+07:00 Dany Iman Santoso Bambang Antoko Prabowo Prabowo Djatmiko Ichsani <p>The evaporation process in the nozzle spray system of a cooling tower was the main object of study in order to determine its performance. This process involves liquid water in small size, usually at the droplet level. At this level, parameters that affect the droplet size, such as capacity, air velocity in the chamber, water pressure at the nozzle, atmospheric temperature, etc., influence the process of heat and mass transfer. In this study, capacity and fan rotation were varied to obtain a graph showing the evaporation. Radius, velocity, mass and temperature graphs and rate graphs were obtained from mathematical modeling of the governing equations. From the results it appears that evaporation occurs at a capacity of 6 liter per minute and above, but this requires further proof of the evaporation process along with the height of the tower, which will be the subject of a future study.</p> 2021-04-10T00:00:00+07:00 Copyright (c) 2021 Journal of Engineering and Technological Sciences Modeling SMEs’ Trust in the Implementation of Industry 4.0 using Kansei Engineering and Artificial Neural Network: Food and Beverage SMEs Context 2021-02-14T22:57:02+07:00 Mirwan Ushada Titis Wijayanto Fitri Trapsilawati Tsuyoshi Okayama <p>Trust is an important aspect for policy makers in recommending the implementation of Industry 4.0 in food and beverage small and medium-sized enterprises (SMEs). SMEs’ trust in the implementation of Industry 4.0 is defined as the level of belief in applying appropriate technology for Industry 4.0 based on their knowledge, familiarity, agreement and preference. Trust is a complex construct involving several Kansei words, or human mentality parameters. Artificial neural network modeling was utilized to model SMEs’ trust in implementation of Industry 4.0. The research objectives were: 1) to analyze the trust of SMEs in the implementation of Industry 4.0 using Kansei Engineering; 2) to model the trust of SMEs in the implementation of Industry 4.0 using an artificial neural network (ANN). A questionnaire was developed using Kansei words that were generated from adjectives to represent human mentality parameters, which were stimulated by visual samples of Industry 4.0 technology. The questionnaires were distributed among 190 respondents from the three large islands of Indonesia. The data were recapitulated for training, validating and testing the ANN model based on the backpropagation supervised learning method. The output was classification of trust as ‘distrust’, ‘trust’ or ‘overtrust’. The research results indicated that the SMEs’ trust was influenced by education, knowledge, familiarity, benefit, preference ranking and verbal components.</p> 2021-03-12T00:00:00+07:00 Copyright (c) 2021 Journal of Engineering and Technological Sciences