Jurnal Pilar Nusa Mandiri http://ejournal.nusamandiri.ac.id/index.php/pilar <p>The Pilar Nusa Mandiri: Journal of Computing and Information System Journal is a formation of the Information Systems study program, which was originally a medium for accommodating scientific writings of Universitas Nusa Mandiri Jakarta Information Systems lecturers. Along with the times, this journal has become a National journal that has P-ISSN: 1978-1946 and E-ISSN: 2527-6514. Pilar Nusa Mandiri: Journal of Computing and Information System has become a <strong>Rank 3 Accredited Journal&nbsp;</strong>and is trying to become a higher accredited journal. Pilar Nusa Mandiri: Journal of Computing and Information System is published 2 times in 1 year, namely in March and September. This journal is&nbsp;<span class="tlid-translation translation"><span title="">Rank 3 <strong>Accreditation Certificate (S3)</strong>, Accreditation is valid for 5 years. Starting from Vol. 12, No. 1 the Year 2016 to Vol. 16, No. 2 the Year 2020.&nbsp;Journal of PILAR Nusa Mandiri, re-accreditation remains at Rank 3 (SINTA 3), starting Vol. 15 No. 2 of 2019 based on the Decree of the Minister of Research and Technology / National Research and Innovation Agency <strong>Number 85 / M / KPT / 2020, April 1, 2020</strong>.</span></span></p> LPPM Universitas Nusa Mandiri en-US Jurnal Pilar Nusa Mandiri 1978-1946 <div class="page"> <p>An author who publishes in the Pilar Nusa Mandiri: Journal of Computing and Information System agrees to the following terms:</p> <ol> <li>Author retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-NonCommercial 4.0 License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal</li> <li>Author is able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with the acknowledgement of its initial publication in this journal.</li> <li>Author is permitted and encouraged to post his/her work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work (See The Effect of Open Access).<br>Read more about the Creative Commons Attribution-NonCommercial 4.0 Licence here: https://creativecommons.org/licenses/by-nc/4.0/.</li> </ol> </div> PARALLEL NUMERICAL COMPUTATION: A COMPARATIVE STUDY ON CPU-GPU PERFORMANCE IN PI DIGITS COMPUTATION http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3291 <p>As the usage of GPU (Graphical Processing Unit) for non-graphical computation is rising, one important area is to study how the device helps improve numerical calculations. In this work, we present a time performance comparison between purely CPU (serial) and GPU-assisted (parallel) programs in numerical computation. Specifically, we design and implement the calculation of the hexadecimal -digit of the irrational number Pi in two ways: serial and parallel. Both programs are based upon the BBP formula for Pi in the form of infinite series identity. We then provide a detailed time performance analysis of both programs based on the magnitude. Our result shows that the GPU-assisted parallel algorithm ran a hundred times faster than the serial algorithm. To be more precise, we offer that as the value&nbsp; grows, the ratio between the execution time of the serial and parallel algorithms also increases. Moreover, when&nbsp; it is large enough, that is This GPU efficiency ratio converges to a constant, showing the GPU's maximally utilized capacity. On the other hand, for sufficiently small enough, the serial algorithm performed solely on the CPU works faster since the GPU's small usage of parallelism does not help much compared to the arithmetic complexity.</p> Yozef Tjandra Sanga Lawalat ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 93 100 10.33480/pilar.v18i2.3291 IMPLEMENTATION OF PROFILE MATCHING METHOD FOR THE BEST EMPLOYEE SELECTION SYSTEM PT. JENDELA DIGITAL INDONESIA http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/2464 <p><em>The implementation of profile matching method in selecting the best employees at PT Jendela Digital Indonesia aims to assist managers in making decisions with the right calculations and criteria. Employees are one of the factors that play an important role in advancing the company. Employee performance affects the company in obtaining profits. To spur employee performance, the company selects the best employees every period by giving appreciation and bonuses to selected employees.</em></p> <p><em>This selection system using three criteria, namely aspects of cooperation, work performance, and personality. These criteria will be used for calculations using the Profile Matching method. There are five employees who will be submitted to the selection of the best employees in this company. All criteria are given a GAP value and then will provide a ranking. The largest final score will be at the top of the ranking, followed by a smaller final score. The results of this research show that this method can provide results that assist managers in making decisions about the best employees according to the criteria desired by the company.</em></p> <p>&nbsp;</p> <p>&nbsp;</p> Donni Prabowo ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 101 106 10.33480/pilar.v18i2.2464 DEVELOPMENT OF KNOWLEDGE MANAGEMENT SYSTEM FOR JAIPONG DANCE http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/2930 <p>Knowledge for culture is a concept of using information and communication technology to increase usability in the field of culture, especially in managing, documenting, disseminating information and knowledge of cultural arts, especially Sundanese cultural arts, namely the art of jaipong dance. For the art of jaipong dance to be maintained, it is necessary to manage information and knowledge that utilizes the sophistication of information and communication technology towards the noble values ​​of jaipong dance. In that way, the art of jaipong dance can be passed on to each generation to maintain culture as self-identity and show the existence of Sundanese culture in the eyes of the national and even the world. Knowledge Management Systems (KMS) is a solution that can be used to preserve the art of jaipong dance in Indonesia by managing existing knowledge about various things about the art of jaipong dance. The research method uses an integrated knowledge system management cycle. There are three main stages: knowledge capture and/or creation, knowledge sharing and dissemination, and knowledge acquisition and application. Meanwhile, for the formation of knowledge used in this study, the SECI Nonaka model was used. KMS itself can benefit experts, organizations, and the general public. It becomes learning material for every generation. The process of transferring information and knowledge about the movements in the Jaipong dance what musical instruments are used in performances, fashion, and make-up can run. properly and can preserve the art of jaipong dance, which is one of the characteristics of dance in Indonesia.</p> Neneng Rachmalia Feta ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 107 116 10.33480/pilar.v18i2.2930 IMPLEMENTATION OF SUPPORT VECTOR REGRESSION IN THE PREDICTION OF THE NUMBER OF TOURIST VISITS TO THE PROVINCE WEST NUSA TENGGARA (NTB) http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3454 <p><em>Abstract </em><em>—</em> <em>Indonesia has a variety of interesting tourist destinations to visit in each region. One area that is used as a favorite tourist destination is the Province of West Nusa Tenggara (NTB). Data The number of tourists visiting the NTB province from 2014 to 2020 tends to change based on data obtained from the Website of the NTB Provincial Tourism Office. The data on the number of visitors will continue to change, even if there is a possibility that it will increase. This can lead to the unpreparedness of the government and other tourism actors in providing the facilities and infrastructure needed by visitors when there is an increase in the number of tourist visits coming to NTB. Therefore, it is necessary to predict the number of tourist visits to NTB with accurate results. In this study, predictions of the number of tourist visits to the Province of NTB were made using the support vector regression method. This research resulted in an application to predict the number of tourist visits to NTB based on Event, Month, and Year. so that it can provide predictive results that are close to the actual value under normal conditions. The data used in this study is data on the number of tourist visits in 2017-2021 and events held in 2017-2021.</em></p> Zaeniah Zaeniah ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 117 122 10.33480/pilar.v18i2.3454 DECISION SUPPORT SYSTEM FOR HYDROPONIC VEGETABLE SEED SELECTION USING EXPONENTIAL COMPARISON METHOD http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3471 <p>The issue of food security is not only the task of farmers, therefore starting to participate in growing vegetables at home through hydroponic techniques can be a solution. Hydroponics is one solution for urban farming or farming activities independently in urban areas in Indonesia. In order to get an abundant harvest on limited land, it requires quality seeds. Good vegetable seeds hold the key to determining a good harvest too. So, you should not carelessly buy vegetable seeds to grow vegetables hydroponically. But the problem is, with so many vegetable seed products for hydroponics on the market, it makes someone confused to choose the right product that suits their needs. The main purpose of this research is to develop a decision support system for selecting hydroponic vegetable seeds with a website-based Exponential Comparison Method to facilitate decision makers in determining the right seeds and according to their needs. The Exponential Comparison method can perform a priority order of decision alternatives on existing criteria and can distinguish the value of each alternative in contrast. The decision support system developed produces calculations using the valid Exponential Comparison Method because the results are in accordance with manual calculations. In addition, based on the black-box testing technique, it shows that the system built has been running well.</p> Rini Nuraini ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 123 130 10.33480/pilar.v18i2.3471 DECISION SUPPORT SYSTEM OF REWARDING ON LECTURER PERFORMANCE USING FUZZY TSUKAMOTO METHOD CASE STUDY AT MATARAM UNIVERSITY OF TECHNOLOGY http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3548 <p>To prepare quality and character human resources, Mataram Technological University strives to provide the best in carrying out the tridharma activities of higher education, one of which is by giving rewards in the hope that morale and loyalty can continue to be improved. However, the gift-giving system that the Mataram Technological University has implemented has not been able to bring about change because the gift-giving system is incorrect. This is because the applied reward-giving assessment system only refers to the assessment without paying attention to other criteria in the tridharma of higher education. Such as the implementation of learning, Research, and community service. Therefore, to overcome this problem, a decision support information system for awarding lecturer performance is needed, which is built using the fuzzy Tsukamoto method by considering several criteria such as Presence, Research Results, and Community Service Results. Lecturer Performance Index in carrying out the learning process. With this decision support system, the implementation of the Tridharma carried out by lecturers can continue to monitor the system and improve the quality and accreditation of study programs and universities.</p> Ahmad Yani Z Zenuddin H Hambali Rudi Muslim Bahtiar Imran ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 131 138 10.33480/pilar.v18i2.3548 PROCUREMENT BUSINESS PROCESS REENGINEERING IN MANUFACTURING COMPANIES USING BUSINESS PROCESS ANALYSIS METHODS http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3481 <p><em>The high Increas business competition makes many organizations in any field to be able to run their business more quickly and effectively to achieve business goals. Business processes are a series of activities carried out by organizations to achieve organizational goals, in manufacturing companies the procurement business process is one of the main business processes of the organization. Therefore, in this study, an analysis of the procurement business process was carried out and then designed a more optimal targeting business process engineering for the organization. Business process engineering is carried out by analyzing business processes using the valued added analysis, flow analysis and simulation methods. The results of business process engineering show that targeting business processes that are prepared are better in terms of time and costs compared to existing business processes.</em></p> Fitria Fitria Neneng Rachmalia Feta Deki Satria ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 139 144 10.33480/pilar.v18i2.3481 CLASSIFICATION OF CORONAVIRUS DISEASE (COVID-19) THROUGH CHEST X-RAY IMAGES BASED ON DEEP LEARNING http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3293 <p>CoV-2 virus this disease is spreading rapidly throughout the world. Various studies were carried out to control the spread of Covid-19. One way to detect Covid-19 is to study chest X-ray images of patients with Covid-19 symptoms. However, to detect Covid-19 through x-ray images, there are currently few radiology specialists needed. This study researched to detection of Covid-19 disease through chest x-ray images with a deep learning approach based on a convolutional neural network (CNN). Before training the model, data preprocessing is carried out, such as labeling and resizing. This study uses a CNN model with three layers of convolution and max-pooling layers and a fully-connected layer for the output. The results of the training using the CNN method produced a pretty good performance, with the best training accuracy (acc) value obtained in the 31st epoch with a value of 0.9593, training loss (loss) 0.1306, validation accuracy (val_acc) 0.9604, and loss validation (val_loss). 0.1399.</p> Erzha Anges Farhandy Sukma Wardhana ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 145 152 10.33480/pilar.v18i2.3293 DISEASE DETECTION EXPERT SYSTEM IN WATERMELON PLANTS USING CERTAINTY FACTOR METHOD BASED ON MOBILE http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3326 <p>Watermelon is one of the fruit commodities currently being developed in West Nusa Tenggara by making Central Lombok Regency as its production center. The problems that are often faced by farmers in watermelon farming, apart from pests, watermelon plants are also often affected by diseases that cause the plants to wilt and then dry, white spots on the flesh, the growth of leaves and small fruit so that it has an impact on decreasing productivity caused by lack of knowledge farmers in recognizing and dealing with diseases in watermelon plants so that they are often mishandled. This research was conducted with the aim of producing an expert system that can be used to detect diseases in watermelon plants and provide solutions for handling them so that watermelon farmers can make prevention and treatment efforts quickly before the disease is transmitted to many other watermelon plants. This expert system was built with the Mobile-based Certainty Factor Method with the Android operating system so that it can be downloaded in the Playstore by watermelon farmers or anyone who needs it so that it is expected to help farmers detect diseases in watermelon plants and provide appropriate handling steps based on related theories.</p> Juhartini Juhartini Dwinita Arwidiyarti Ahmad Subki Subki ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 153 160 10.33480/pilar.v18i2.3326 SENTIMENT ANALYSIS OF INDONESIAN COMMUNITY ON COVID-19 VACCINATION ON TWITTER SOCIAL MEDIA http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3820 <p>In the process, data mining will extract valuable information by analyzing the existence of specific patterns or relationships from extensive data. One of the concerns of the new disease outbreak caused by the coronavirus (2019-nCoV) or commonly referred to as Covid-19, was officially designated as a global pandemic by the World Health Organization (WFO) on March 11, 2020. To break the transmission of Covid-19, the government carried out vaccinations for the Indonesian population. In the first period, the vaccination target will be for health workers with a total of 1.3 million people, public officers with 17.4 million people, and 21.5 million people. 19. The Data processed is only text data from Twitter application reviews that use Indonesian. Using the polarity of the Sentiment class Textblob, the sentiment class is positive, negative, and neutral. The data mining used is SVM, Naive Bayes, and Logistic Regression. As for this research in the form of knowledge of sentiment in the community towards vaccination activities, the results of this study get 43% positive sentiment, 40.8% negative, and 16.2% negative by testing the classification algorithm, Logistic Regression accuracy of 87%, SVM 86, 4%, and Naive Bayes, 40% of these results, can be seen that the Indonesian people have a positive sentiment towards the covid-19 vaccine.</p> Nurmalasari Nurmalasari Widi Astuti Windu Gata Ida Zuniarti ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 161 166 10.33480/pilar.v18i2.3820 LOMBOK PEARL QUALITY CLASSIFICATION USING A COMBINATION OF FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS BASED ON SHAPE http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3507 <p>Lombok is attracted to the Moto GP event, which is held annually. Various tourism brands are owned by the island of Lombok, one of which is Mutiara. The ideal Pearl is perfectly round and smooth, but there are a variety of other shapes as well. One method that can be used to process Pearl's image is Computer Vision. For that, it is necessary to have a way to classify the quality of a Pearl based on its shape. The purpose of this study is to propose a system for pearl image classification by combining feature extraction with artificial neural networks. The method used in this study is GLCM feature extraction and Neural Networks. The proposed system can provide good classification results by combining the GLCM method and the Neural Network. This study uses Epochs 5, 10, 15, 30, 50, 100, 200, 300, and 500 with a learning rate of 0.5. The results of this study indicate that Epoch 100 gives the highest accuracy, 91.66%.</p> Bahtiar Imran Ahmad Yani Rudi Muslim Zaeniah Zaeniah ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 167 172 10.33480/pilar.v18i2.3507 EARLY WARNING SYSTEM FOR FLOOD IN GUNUNGSARI DISTRICT BASED ON IOT WITH TELEGRAM BOT AS A WARNING MESSAGE SENDER http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3711 <p>Entering the rainy season with a high level of rainfall will have an impact on vulnerability to floods that will hit a number of areas in various parts of Indonesia. As is often the case in the Gunungsari Sub-district, West Lombok Regency, heavy rains that come early with high intensity for several days often occur, which causes flood disasters and the absence of an automatic system or tool that can detect flooding in the area so that people around the difficulty of detecting floods that come early and cause many people to lose their homes and property due to the flood disaster. The purpose of this study is to provide information related to signs before a flood disaster using the Raspberry Pi 4 as the main tool and the Hc-SR04 ultrasonic sensor as a tool for measuring the distance of an object, where this system can monitor the water level of the river, then disseminate information. related to the water level periodically via Telegram. The test results of the detection sensor system show that the level of accuracy in reading the water level with an average error of 0.48%, indicates that this IoT system has good accuracy.</p> <p>&nbsp;</p> Hambali Hambali Ardiyallah Akbar Ahmad Yani ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 173 178 10.33480/pilar.v18i2.3711 IMPLEMENTATION OF HASHLIPS ART ENGINE TO EARN IMAGE VARIATIONS ON NON-FUNGIBLE TOKEN (NFT) http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3898 <p>Non-Fungible Token (NFT) is a blockchain-based token that securely maps copyright ownership to digital assets, these digital assets exist on the blockchain network which have identification codes and metadata that are unique and different from each other (one-of-the-kind). . It can also be interpreted as a digital asset that represents a variety of assets that are considered unique. NFTs can be traded for digital assets (images, music, videos, virtual creations) where ownership is recorded in a smart contract on the blockchain. One of the difficulties faced is that it takes a very long time for NFT creators to create a large number of works of art in a short time. To make it easier for creators to create NFT images, Daniel Eugene Botha, or better known as Hashlips, created a Hashlips Art Engine algorithm that can be used to create many different NFT images based on the layers provided using the canvas API and node.js. The hashlips algorithm also generates metadata as an important role in the mechanism for searching and exchanging NFT data and measuring the percentage of rarity in the resulting image. In addition, this study also shows the time required to create NFT images.</p> Muhammad Adhli Arda Bayu Setiaji ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 179 186 10.33480/pilar.v18i2.3898 COMPARISON OF LEXRANK ALGORITHM AND MAXIMUM MARGINAL RELEVANCE IN SUMMARY OF INDONESIAN NEWS TEXT IN ONLINE NEWS PORTALS http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3190 <p>The presence of online media has shifted print media for news readers to get information that is fast, accurate, and easy to access. However, the problem arises because the length of the news text makes the reader bored to search for the news as a whole so the news that is obtained will be less accurate. For this reason, it is necessary to have an automatic text summary that was raised in this study as well as to compare the Maximum Marginal Relevance (MMR) algorithm and the LexRank algorithm to the summary of Indonesian news texts on the online news portal graphanews. com. the results of the comparison test of text summarization using f-measure , precision and recall show the performance of text summarization with the MMR algorithm is better where f-measure is 91.65%, precision is 91.08% and recall is 92.23%.</p> Siti Tuhpatussania Ema Utami Anggit Dwi Hartanto ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 187 192 10.33480/pilar.v18i2.3190 MAPPING LOCATIONS AND SHORTEST ROUTE OF TOURISM OBJECTS IN CENTRAL LOMBOK USING GIS-BASED A-STAR ALGORITHM http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3927 <p>Central Lombok tourism is a tourism that foreign and domestic tourists often visit. There are many tourist objects offered by the Central Lombok Government, such as waterfall tours, beach tours, traditional village tours, cultural tours, and Pertamina Mandalika International Street Circuit. However, there are many tourist objects, and not all tourists know the location of these tourist objects. Tourists often experience constraints, are the location of tourist objects that is not quite right, it is still difficult to determine the shortest route to the location, and the lack of complete information about existing tourist objects, which can hinder the journey of tourists to the destination location. This study aims to map the location and shortest route of tourism objects in Central Lombok using an Android-based Geographic Information System by applying the A-Star algorithm. The results of this study are to develop an Android-based Geographic Information System or GIS by applying the star algorithm to Central Lombok tourism objects. So that the mapping of the location and information of tourist objects and obtain the search for the shortest route to tourist objects. The A-Star algorithm uses heuristic principles to find the shortest route to a tourism object and is optimal in finding the shortest route to tourism objects</p> Rudi Muslim Beni Ari Hidayatullah Bahtiar Imran Ahmad Yani Salman Salman ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 193 202 10.33480/pilar.v18i2.3927 COMPARISON OF PORTERS STEMMING ALGORITHM AND NAZIEF & ADRIANI'S STEMMING ALGORITHM IN DETERMINING INDONESIAN LANGUAGE LEARNING MODULES http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3940 <p>One of the methods used to improve the performance of text summarization to obtain complete information in a learning module is by transforming the words in a module into basic words or, in other words, through a steaming process. The steaming process in Indonesian language texts is more complicated/complex because there are word affixes that must be removed to get the root word (root word) of a word, so this research will compare the two stemming algorithms of Porter and stemming Nazief &amp; Adriani in the learning module at Mataram University of Technology. The test results of the Nazief &amp; Adriani stemming algorithm on an average process duration of 51.8 seconds with an average accuracy of 74.175%. In Porter's Algorithm, the average processing time is 16.875 seconds, with an accuracy of 73.225%.</p> Siti Tuhpatussania Ema Utami Anggit Dwi Hartanto ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 203 210 10.33480/pilar.v18i2.3940 SENTIMENT ANALYSIS ON THE TWITTER PSSI PERFORMANCE USING TEXT MINING WITH THE NAÏVE BAYES ALGORITHM http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3938 <p>Social media has developed rapidly today, so social media is no longer just a place to interact and socialize but also to express opinions or criticize a particular party or institution. After the incident at the Malang Kanjuruhan stadium in October 2022, many netizens criticized the performance of PSSI as Indonesia's number one organization that oversees football competitions in Indonesia. For this reason, sentiment analysis was carried out on the official PSSI account on Twitter to assess the performance of PSSI by grouping them as Satisfied and Unsatisfied using the Naïve Bayes Classifier. Sentiment analysis took tweets from the official PSSI account and as many as 1000 comments to be used as a dataset. Then preprocessing is carried out in the GATA Framework using the Annotation Removal, Remove Hashtag, Transformation Remove URL, Regexp, Indonesian Steaming, and Indonesian Stopword Removal methods. The results obtained were 82.82% for accuracy, 78.69% for precision, 90.33% for recall, and 0.866 for AUC. With these results, the value obtained is at a good classification level.</p> Fajrullah Maulana M Arief Abdullah Juwita Sari Dimas Zappar Siddik Matius Agustinus Dedi Dwi Saputra ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 211 216 10.33480/pilar.v18i2.3938 CLOTH BAG OBJECT DETECTION USING THE YOLO ALGORITHM (YOU ONLY SEE ONCE) V5 http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3019 <p>The use of plastic in modern life is increasing rapidly, causing the number of people who use plastic to increase, one of which is when shopping. The function of plastic bags as packaging for luggage is not comparable to the impact caused by plastic waste in the years to come. Plastic bags take a long time, even hundreds to thousands of years, to completely decompose. In order to support the government's program to reduce the use of plastic bags, this study will discuss how to detect cloth bags as a substitute for plastic bags. In this research, a system will be implemented to detect the use of cloth bags with Roboflow and Yolo v5. After carrying out all stages of the research, it can be concluded that the goodie bag detection model has been successfully created. The detection model was created using the YOLOV5 algorithm. The dataset used consists of 102 goodie bag images. The process model uses 100 epochs with the training result mAP@0.5 is 89.8%. So, in other words, it can be said that YOLO v5 can detect goodie bags very well.</p> Rizki Hesananda Desima Natasya Ninuk Wiliani ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2023-02-07 2023-02-07 18 2 217 222 10.33480/pilar.v18i2.3019