Techno Nusa Mandiri : Journal of Computing and Information Technology https://ejournal.nusamandiri.ac.id/index.php/techno <p>The TECHNO Nusa Mandiri Journal is a journal published by the Community Service Research Center (PPPM) STMIK Nusa Mandiri Jakarta. The TECHNO Nusa Mandiri Journal 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 Journal with 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> Pusat Penelitian dan Pengabdian Pada Masyarakat en-US Techno Nusa Mandiri : Journal of Computing and Information Technology 1978-2136 USABILITY ANALYSIS ON THE ENDANGERED INDONESIAN ANIMALS AND PLANTS AUGMENTED REALITY APPLICATION https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/1458 <p>Knowledge about Indonesian endangered animals and plants has been taught at elementary school, but still based on text. In curriculum 2013, teachers are expected to be able to develop creative ideas such as using interactive learning media that makes learning fun for students. Interactive learning media can be used as a solution to make learning process more interesting. The use of augmented reality technology can be implemented on interactive learning media that aims to increasing elementary school children interest and make the learning process easier to teacher. This research uses descriptive quantitative method by distributing questionnaires to test HEBULA Application which is an interactive learning media for introducing endangered Indonesian animals and plants using augmented reality technology for elementary school children. Testing is done by using User Acceptance Test (UAT). This research aims to find out weather the HEBULA Application can be well receive and effectively used as a learning media. The results of this research show that HEBULA Application is suitable to be used as a learning media which is shown by the percentage of UAT eligibility of 92,6% that can be categorized as very well.</p> Putri Syifa Darmawel ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc/4.0 2020-09-15 2020-09-15 17 2 79 86 10.33480/techno.v17i2.1458 INFORMATION SYSTEM OF TUITION AND THESIS PAYMENT VERIFICATION WITH ADAPTIVE LAYOUT DESIGN https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/1464 <p>The verification system of tuition and thesis payment at ISB Atma Luhur which is running is felt to be less effective and efficient because students must come directly to campus with proof of payment during working hours to verify the payment. Also, there is the possibility of negligence by the finance department that only stamped the payment slip without doing a flag, consequently, related students were unable to carry out the selection of lecture groups and thesis supervisors when the schedule began. This caused them to not get the favorite lecture groups and thesis supervisors because the quota had run out. To overcome this problem, an information system for verification of tuition payment and web-based thesis verification will be developed with an adaptive layout design so that it can be accessed by laptop or smartphone users without reducing comfort during operation. The system development model and tool used in this research are the waterfall model and the Unified Modeling Language (UML), respectively. The developed system can be used by students to upload proof of payment and monitor the verification status of proof of payment that was previously uploaded. The system can also be used by the finance department to verify payments, as well as display and print payment verification reports. The developed system can be accessed anywhere and anytime so that the efficiency and effectiveness of the verification process are increased.</p> Bambang Adiwinoto Yohanes Setiawan Japriadi Lukas Tommy ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc/4.0 2020-09-15 2020-09-15 17 2 87 94 10.33480/techno.v17i2.1464 NAÏVE BAYES AND BLACK BOX TESTING IMPLEMENTATION ON SENTIMENT ANALYSIS OF ALOE VERA PRODUCT REVIEWS https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/1453 <p>Aloe vera soothing gel is one of the best-selling products and the most widely reviewed on the Althea Korea website. This product has been reviewed by 1,448 users on the Althea website. The result of the research can be used to minimize mistakes in product purchases. Besides, through a review of a product, the company can analyze the level of customer satisfaction and can be a suggestion for improvements in the future. Therefore, a system is needed to analyze the sentiment towards aloe vera soothing gel to determine the review as a positive or negative sentiment. The method used in this research is the Naïve Bayes method and uses the classification carried out by linguist<strong>s</strong> as a reference for determining positive and negative sentiment. There are two tests carried out in this research, namely confusion matrix testing and black<strong>-</strong>box testing. The result of the confusion matrix test found an accuracy of 94.62% and the result of black<strong>-</strong>box testing showed that the output produced was by the application functionality.</p> Putri Ambarwati ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc/4.0 2020-09-15 2020-09-15 17 2 95 100 10.33480/techno.v17i2.1453 PROVISION OF MICRO CREDIT AT BANK MANDIRI BOGOR WITH THE FUZZY TSUKAMOTO METHOD https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/1529 <p>It is an advantage for the bank, in this case, the Bank Mandiri Dramaga1 Bogor Unit, because of the increasing credit activity in banks, it is necessary to have an assessment in credit as consideration for prospective customers before the bank decides to accept or reject a prospective customer request. So it is necessary to develop a method that can assist and facilitate the bank in making decisions quickly and accurately. The basis for decision making is based on the criteria for determining who is eligible or not to receive a loan. To assist in determining whether someone is eligible or not to receive a loan, a decision support system is needed using fuzzy logic and applying the Tsukamoto method. The Lending Decision Support System was created to assist and facilitate the bank in making decisions to provide alternatives if a prospective customer applies for credit is accepted or not.</p> Susliansyah Susliansyah Nisan Nisan Heny Sumarno Hendro Priyono Linda Maulida ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc/4.0 2020-09-24 2020-09-24 17 2 101 108 10.33480/techno.v17i2.1529 CLASSIFICATION OF CUSTOMER COMPLAINTS ON INSTAGRAM COMMENTS USING NAÏVE BAYES ALGORITHM WITH N-GRAM FEATURE EXTENSION https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/1632 <p>Customer complaints about the company can be used as a form of self-evaluation and performance that has been carried out by the company, based on customer complaints the company can find out the weaknesses that exist in the company and fix them. The forms of submitting customer complaints are very diverse, currently not only by telephone, but customers also submit suggestions or complaints, customers can submit suggestions or complaints via electronic mail or e-mail or forums in cyberspace that are indeed created by product-producing companies to accommodate various complaints, suggestions, and direct criticism from consumers, especially social media that are free to express opinions on the delivery services used. Instagram is a social media that is more inclined towards images and on the other hand, has captions and comments text, a study is needed for the problem of customer complaints from shipping service users on an Instagram account of a delivery service company. Based on this background, a solution is needed in solving problems for text mining classification using Naïve Bayes with SMOTE techniques and N-Gram feature extraction with the usual process for text mining so that it can produce Naïve Bayes and SMOTE accuracy with an accuracy of 88.54%, before implementation. N-Gram and the accuracy rate increased by 1.44% after the N-Gram Term was applied to 89.98% by using a dataset of 776 Instagram comment text records that had to preprocess text.</p> Fachri Amsury Nanang Ruhyana Irwansyah Saputra Daning Nur Sulistyowati ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc/4.0 2020-09-15 2020-09-15 17 2 109 116 10.33480/techno.v17i2.1632 DESIGNING A ROUTER REDUCTION SYSTEM USING HOT STANDBY ROUTER PROTOCOL METHOD FOR BACKUP LINK IN DITJEN PPKL https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/1643 <p>Computer networks play an important role in data communication at companies or government institutions to support them in terms of work. In this case, the authors conducted observational research and direct interviews with IT staff at the Ditjen PPKL Control about how the network operates in that place. Routers have a very important role in data communication and connecting different networks, so a router reduction system is needed as a solution to minimize failures on the network or these devices. The network topology in each office or government agency is different, which makes the problems in each government office or agency different. Based on the research that has been done, the network of the Ditjen PPKL often experiences a link down which causes disconnection of the internet connection and hinders the productivity of staff. So a router redundancy system is needed to maintain network availability, such as the Hot Standby Router Protocol (HSRP) which has two lines, one as the mainline and the other as a backup if the mainline is down. That way network availability will always be maintained without having to wait for the IT staff to do troubleshooting if there is a network failure. The result of this research is to provide maintained network availability. Even if a link goes down, the network will automatically return to normal.</p> <p>&nbsp;</p> Andri Nuki Baskoro Anton Anton Puji Astuti ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc/4.0 2020-09-15 2020-09-15 17 2 117 122 10.33480/techno.v17i2.1643 DEVELOPMENT AND IMPLEMENTATION OF WOVEN BAMBOO HANDICRAFT ONLINE SHOP IN LOYOK VILLAGE, LOMBOK, INDONESIA https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/1638 <p>Lombok Island in Indonesia has been selected as the World's Best Halal Tourism Destination and World's Best Halal Honeymoon Destination in the World Halal Tourism Summit in Dubai 2015 (Khoiriati, 2018). Lombok Island has also been ranked as the Best Halal Travel Destination in Indonesia according to IMTI 2018 and was also named the best halal destination in the international arena in tourism (Ramadhani, 2020). However, the Lombok Earthquake 2018 and the Covid-19 pandemic in 2020 had an impact on Lombok tourism. Loyok village in Lombok as a tourist village that produces woven bamboo crafts is also experiencing marketing problems, namely the decreasing number of sales. In this research, the solution taken in the marketing problem of woven bamboo handicraft products is carried out through the development and implementation of an online shop website. The development method chosen is the waterfall method. System design includes flowchart systems, modeling and database design. In the coding process, the programming language used is PHP 7.0 and MySQL 5.0 database. Implementation has been carried out online and can be accessed via domain anyamandesaloyok.com</p> Muhammad Multazam Eluiz Yansirus Saniyah ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc/4.0 2020-09-15 2020-09-15 17 2 123 130 10.33480/techno.v17i2.1638 THE IMPLEMENTATION OF EXTRACTION FEATURE USING GLCM AND BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK TO CLASIFY LOMBOK SONGKET WOVEN CLOTH https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/1680 <p>The aimed of this study was to apply the feature extraction method of GLCM and Back-propagation Artificial Neural Network (ANN) to classify Lombok's typical Songket woven cloth by classifying based on the texture of the Songket woven cloth. Songket woven cloth in Lombok in terms of weaving and texture are vary from region to region. For example the songket woven cloth in Pringgasela Village, Sukarara Village and Sade Village has differences in texture and motifs. For this reason, this study focuses on classifying Lombok's typical Songket woven cloth by performing feature extraction on woven cloth using the GLCM method and the classification method uses Back-propagation Artificial Neural Network (ANN). For data collection, the data was taken directly from the Songket weaving centers in Pringgasela, Sade and Sukarara. In the classification stage the training data used were 64 data and 11 test data. Then the epoch used was 41 iterations with a time of 0:00:04, with neurons 80 and 100. The use of neurons 80 generated 18% which was successful in the classification. While using 100 neurons generated 100% successful which was can be classified. Based on the classification results obtained, the use of 100 neurons gained good classification results.</p> Bahtiar Imran Muhamad Masjun Efendi ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc/4.0 2020-09-15 2020-09-15 17 2 131 136 10.33480/techno.v17i2.1680 DETERMINATION OF BOOK LOAN ASSOCIATION PATTERN USING APRIORI ALGORITHM IN PUBLIC LIBRARIES https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/1681 <p>One way to increase knowledge is by reading literature from books. The young generation as the nation's hope generation is expected to have a high interest in reading to broaden their horizons. Libraries as a place for literature books to provide various types of books. The use of books available in the public libraries of Depok city is still insufficient as seen from the low number of books borrowed by members, especially among the younger generation aged 17 to 25 years. Therefore it is necessary to have a pattern to see the books that are often borrowed by members so that the supply of the types of books that are most attractive to the younger generation that is provided becomes more varied. The method used to determine the association pattern of lending books to the library is using a priori algorithm. From the research results, there are seven rule associations with books that have the highest confidence value and are most often borrowed simultaneously, namely history books and novels as well as history and philosophy. Based on rule association, it is able to assist library officers in providing the most popular types of books among adolescents. In addition, the research results can be used as a reference in placing the book layout on the shelf based on the books that are most often borrowed simultaneously.</p> Eni Irfiani ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc/4.0 2020-09-15 2020-09-15 17 2 137 142 10.33480/techno.v17i2.1681 SENTIMENT ANALYSIS ON TWITTER OF PSBB EFFECT USING MACHINE LEARNING https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/1635 <p>A collection of tweets from Twitter users about PSBB can be used as sentiment analysis. The data obtained is processed using data mining techniques (data mining), in which there is a process of mining the text, tokenize, transformation, classification, stem, etc. Then calculated into three different algorithms to be compared, the algorithm used is the Decision Tree, K-NN, and Naïve Bayes Classifier to find the best accuracy. Rapidminer application is also used to facilitate writers in processing data. The highest results from this study were the Decision Tree algorithm with an accuracy of 83.3%, precision 79%, and recall 87.17%.</p> Irwansyah Saputra Jose Andrean Halomoan Adam Bagusmugi Raharjo Cyra Rezky Ananda Syavira ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc/4.0 2020-09-15 2020-09-15 17 2 143 150 10.33480/techno.v17i2.1635 DECISION SUPPORT SYSTEM FOR HELP RECIPIENTS HOPE FAMILY PROGRAM ON VILLAGE WARU WITH SAW METHOD https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/1678 <p>Waru Village is one of the villages in the Bogor Regency area. However, the selection of recipients of the Hope Family Program (PKH) in Waru Village is still subjective/qualitative so that the process of receiving the Hope Family Program (PKH) in Waru Village is not accurate and has not been on target. This makes the need for a method that can manage data on recipients of the Hope Family Program (PKH) and produce a ranking from the calculation of weight for the selection of recipients of the Hope Family Program (PKH). In making decisions about recipients of the Hope Family Program (PKH), there is a Simple Additive Weighting (SAW) method that can be used in quantitative problem-solving. With the SAW method, each criterion is compared with one another to provide results of recipients of the Hope Family Program (PKH) and provide an assessment of each recipient (alternative) of the Hope Family Program (PKH) in Waru Village. This study aims to determine the recipients of the PKH assistance program so that it can produce a decision on recipients of PKH assistance that the government distributes to the Waru village accurately on target.</p> Siti Nurlela Tuti Kurniawati Siti Masturoh Widiastuti Widiastuti Ade Suryadi ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc/4.0 2020-09-15 2020-09-15 17 2 151 156 10.33480/techno.v17i2.1678