Jurnal Techno Nusa Mandiri https://ejournal.nusamandiri.ac.id/index.php/techno <p>TECHNO Nusa Mandiri: Journal of Computing and Information Technology is a journal published by LPPM Universitas Nusa Mandiri. The TECHNO Nusa Mandiri:&nbsp;Journal of Computing and Information Technology was originally intended to accommodate scientific papers made by Informatics Engineering lecturers. TECHNO Nusa Mandiri Journal has ISSN: <a title="Print Media" href="http://issn.pdii.lipi.go.id/issn.cgi?daftar&amp;1180425415&amp;1&amp;&amp;" target="_blank" rel="noopener"><strong>1978-2136</strong></a> (Print Media) and <a title="Online Media" href="http://issn.pdii.lipi.go.id/issn.cgi?daftar&amp;1452590549&amp;1&amp;&amp;" target="_blank" rel="noopener"><strong>2527-676X</strong></a> (Online Media). The TECHNO Nusa Mandiri:&nbsp;Journal of Computing and Information Technology have the accredited National Journal status is accredited by the Indonesian Ministry of Research and Higher Education at the Sinta S4 level, in accordance with Decree on Strengthening SK Research and Development Number 21 / E / KPT / 2018 which has been in effect since July 9, 2018, for 5 years. Source: <a title="Salinan Surat Keputusan Peringkat Akreditasi Elektronik Periode I 2018" href="http://risbang.ristekdikti.go.id/wp-content/uploads/2018/07/Salinan-Surat-Keputusan-Peringkat-Akreditasi-Elektronik-Periode-I-2018.pdf" target="_blank" rel="noopener">Risbang Ristekdikti.go.id</a>. This journal is&nbsp;Rank 4 Accreditation Certificate (S4), Accreditation is valid for 5 years. Starting from Vol. 13, No. 1 the Year 2016 to Vol. 17, No. 1 the Year 2020.&nbsp;<span class="tlid-translation translation"><span title="">Journal of TECHNO Nusa Mandiri, re-accreditation remains at Rank 4 (SINTA 4), starting Vol. 16 No. 2 of 2019 based on the Decree of the Minister of Research and Technology / National Research and Innovation Agency Number 85/M/ KPT/2020, April 1, 2020</span></span></p> en-US <p>The copyright of any article in the TECHNO Nusa Mandiri Journal is fully held by the author under the Creative Commons CC BY-NC license.</p> <ol> <li class="show">The copyright in each article belongs to the author.</li> <li class="show">Authors retain all their rights to published works, not limited to the rights set out on this page.</li> <li class="show">The author acknowledges that Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri) is the first to publish with a Creative Commons Attribution 4.0 International license (CC BY-NC).</li> <li class="show">Authors can enter articles separately, manage non-exclusive distribution, from manuscripts that have been published in this journal into another version (for example: sent to author affiliation respository, publication into books, etc.), by acknowledging that the manuscript was published for the first time in Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri);</li> <li class="show">The author guarantees that the original article, written by the stated author, has never been published before, does not contain any statements that violate the law, does not violate the rights of others, is subject to the copyright which is exclusively held by the author.</li> <li class="show">If an article was prepared jointly by more than one author, each author submitting the manuscript warrants that he has been authorized by all co-authors to agree to copyright and license notices (agreements) on their behalf, and agrees to notify the co-authors of the terms of this policy. Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri) will not be held responsible for anything that may have occurred due to the author's internal disputes.</li> </ol> jurnal.techno@nusamandiri.ac.id (Siti Nurhasanah Nugraha) jurnal.techno@nusamandiri.ac.id (BTI) Fri, 01 Mar 2024 15:53:30 +0700 OJS http://blogs.law.harvard.edu/tech/rss 60 DIAGNOSIS OF CUCUMBER PLANT DISEASES USING CERTAINTY FACTOR AND FORWARD CHAINING METHODS https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/5355 <p><em>Cucumber plants spread and can live in tropical climates like Indonesia. The cucumber plant has many benefits and can be a beauty ingredient. Cucumbers, like other plants, can also have disease attacks, which can threaten farmers. This expert system can help farmers discover diseases that attack cucumber plants and how to control them. The certainty Factor is a method used to measure the certainty of facts to describe an expert's confidence in facing a problem. Forward Chaining is an approach method monitored by data starting from information in the form of facts and supported by rules to reach conclusions. Implementing an expert system for diagnosing cucumber diseases using certainty factor and forward chaining methods will make it easier for farmers and the public to cultivate cucumber plants and get good results. Applying the forward chaining method and factor certainty in this expert system can produce an accuracy level of 95.918%.</em></p> Bligania Bligania, Yoga Pristyanto, Heri Sismoro, Yuli Astuti, Anggit Ferdita Nugraha ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/5355 Fri, 01 Mar 2024 15:50:45 +0700 COMPARATIVE ANALYSIS OF AUTOMATION FUNCTIONAL TESTING TOOLS PERFORMANCE FOR PLAYSTORE APPS WITH DIA METHOD https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/5363 <p><em>The complexity of smartphone applications presents challenges for developers, who must ensure flawless functionality despite limitations such as budget and time constraints. Manual testing is time-consuming, prompting a shift towards automated testing methods to ensure efficiency and reliability. In this context, researchers are evaluating the efficacy of three leading test automation frameworks—Robot Framework, Katalon Studio, and UI Path—against key performance parameters. Using the Distance to the Ideal Alternative (DIA) method on playstore apps. The main performance parameters used as a reference are automated testing progress and tools usability. Katalon Studio emerges as the top performer, securing the top rank with a remarkably close to the alternative ideal positive distance (Ri) value of 0.00001. UI Path occupies the second position with a Ri value of 0.00135, while Robot Framework trails behind with a Ri value of 0.00295. This research contributes to the understanding of the performance of different automation frameworks in the context of functional testing, providing valuable insights for developers and organizations seeking to optimize their testing processes. The findings underscore the significance of Katalon Studio's exceptional performance and highlight opportunities for improvement in UI Path and Robot Framework. Additionally, implementing a robust monitoring and evaluation framework is crucial for tracking the ongoing performance and optimizing the efficiency of these automation frameworks.</em></p> Faizal Riza, Berliyanto Berliyanto, Aji Nurrohman, Rachmat Setiabudi ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/5363 Tue, 26 Mar 2024 07:46:18 +0700 EMPLOYEE ACCEPTANCE AND SATISFACTION USING E-OFFICE BY HYBRID MODEL BASED ON TAM & ISSM https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/4686 <p><em>E-Office is an electronic mail application both web-based and mobile with the aim of making it easier for users to send, track, and archive letters. The implementation of E-Office applications within agencies certainly has pros and cons from users so it is necessary to do research to find out how users receive E-Office applications. To analyze user acceptance and satisfaction with E-Office applications, it is necessary to test the factors that influence users in utilizing applications. In this study, testing was carried out by combining two models, namely TAM (Technology Acceptance Model) and ISSM (Information System Success Model). The TAM is a widely used model to evaluate user acceptance of new technologies, while the ISSM was developed to analyze successes or failures in the application of information systems. The research method used is quantitative using questionnaire instruments, then the data is analyzed using the R-Square test. The data collected was 50 and then analyzed using SPSS. The user perception criterion shows a number of 0.740 so that the variables of information quality and system quality have a strong correlation with user perception. While both &nbsp;the criteria for perceived ease of use and user intention show a value above 0.75, which is 0.77 so that the variables of information quality and system quality have a very strong correlation with the perception of ease of use, and the variables of user perception and perception of ease of use have a very strong correlation also to user intentions in using E-Office applications.</em></p> Dita Madonna Simanjuntak, Johan Mohammad Palah, Putri Ambarwati ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/4686 Tue, 26 Mar 2024 09:22:56 +0700 PREDICTIVE MODELING OF BROILER CHICKEN PRODUCTION USING THE NAIVE BAYES CLASSIFICATION ALGORITHM https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/5354 <p><em>Serious challenges are faced by broiler chicken farmers in Seumirah Village, Nisam Antara Subdistrict, North Aceh Regency, in their efforts to create high-quality and productive chickens. These difficulties not only impact the farmers' income but also result in recurring losses every year. This research aims to design a system using the Naive Bayes Classifier algorithm to assess the capacity and classify production types based on specific criteria such as population, age, depletion, FCR (Feed Conversion Ratio), IP (Index Performance), and BW (Body Weight). The system aims to classify broiler chicken production as either increasing (profitable) or decreasing (unprofitable). In the development of this predictive system, the PHP programming language is employed, with a MySQL database as the data storage medium. The results of this broiler chicken production prediction system have proven effective in providing information in the form of profit or loss reports based on the harvest results for each monthly period. The implementation of this system is expected to assist in optimizing farmers' production management, increasing business profitability, and providing better guidance for future business decisions. The classification results using the Naive Bayes method indicate an accuracy rate of 86,67 and error rate of 13,3%.</em></p> Novia Hasdyna ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/5354 Thu, 28 Mar 2024 09:54:01 +0700 THE DEVELOPMENT OF AUTOMATIC CIGARETTE SMOKE DETECTION SYSTEM USING TA12-100 AND MQ-135 SENSORS https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/5294 <p><em>Indonesia is ranked 3rd with the highest number of active smokers in the world after India and China. Cigarettes contain more than 4000 chemical compounds that are harmful to active smokers and passive smokers. The large number of active smokers in Indonesia also has an impact on passive smokers where passive smokers also inhale cigarette smoke. The purpose of this research is to build an automatic cigarette smoke detector to support air hygiene control, protect passive smokers, and save electricity used. The stages in designing this research include analysis of product specifications, assembly, programming, and trials. This study was designed using Arduino UNO as the microcontroller, the MQ-135 sensor as a tool to detect cigarette smoke, the TA12-100 sensor to calculate electrical power consumption, the relay as an automatic switch, and the exhaust fan as a smoke neutralizer. The results of this study are that the MQ-135 sensor can detect cigarette smoke properly with the Relay as an automatic switch that functions to turn on the exhaust fan automatically. Based on the test results on the TA12-100 sensor, the consumption of electrical energy with an automatic mechanism is more efficient than the consumption of electrical energy in a manual way, with a difference of 0.0000385 kWH and Rp. 0.05205. Future research could focus on developing a more complex system for overall air cleanliness control, rather than just focusing on cigarette smoke detection.</em></p> Yusan Abid Janitra, Addin Aditya, Hilman Nuril Hadi, Diah Arifah P., Sugeng Widodo ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/5294 Tue, 02 Apr 2024 08:43:09 +0700