https://jtika.if.unram.ac.id/index.php/JTIKA/issue/feed Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) 2024-01-02T19:57:24+08:00 I Gede Pasek Suta Wijaya / I Wayan Agus Arimbawa gpsutawijaya@unram.ac.id Open Journal Systems <p>Jurnal Teknologi Informasi, Komputer dan Aplikasinya (JTIKA) adalah jurnal ilmiah di bidang teknologi informasi, ilmu komputer dan aplikasinya yang dipublikasi oleh Program Studi Teknik Informatika Fakultas Teknik Universitas Mataram dengan&nbsp;<strong><em>online ISSN 2657-0327 dan sudah terakreditasi SINTA 4</em></strong><strong><em>. </em></strong>JTIKA&nbsp;adalah <strong>open access</strong> jurnal&nbsp;dengan proses review secara&nbsp;&nbsp;<em>blind</em>&nbsp;&nbsp;dan&nbsp;<em>peer-review </em>&nbsp;yang&nbsp; dilakukan oleh sekurang-kurangnya &nbsp;2 orang reviewer.&nbsp; JTIKA memiliki Jumlah terbitan sebanyak 2 kali dalam setahun yaitu pada bulan <strong>Maret</strong> dan <strong>September</strong>.</p> <p>Tujuan utama JTIKA adalah sebagai media untuk mempublikasikan artikel&nbsp;hasil penelitian, inovasi aplikasi, studi perbandingan yang&nbsp;berkualitas baik&nbsp;dan&nbsp;mengikuti&nbsp;perkembangan dan tren teknologi baru dibidang&nbsp;Teknologi informasi, Komputer adan Aplikasinya. Artikel yang dipublikasikan pada JTIKA dapat ditulis dalam bahasa Indonesia maupun bahasa Inggris.</p> https://jtika.if.unram.ac.id/index.php/JTIKA/article/view/219 RANCANG BANGUN SISTEM INFORMASI PEMETAAN FLORA DAN FAUNA TAMAN HUTAN RAYA NURAKSA DENGAN MODEL ARSITEKTUR MICROSERVICES 2023-12-20T01:41:07+08:00 Yusril Raihan yuslibra6@gmail.com Royana Afwani royana@unram.ac.id Nadiyasari Agitha nadiya@unram.ac.id <p><em>The Great Forest Park (Tahura) Nuraksa has a lot of flora and fauna in it. Currently, Tahura Nuraksa does not yet have a mapping system for its flora and fauna. In the Long-Term Management Plan of Tahura Nuraksa for 2019-2029, one of which is the acceleration of completion of the mapping of Tahura Nuraksa, an indicator of success is that the making of maps supporting the management of the area can be completed. The solution is to build a Geographic Information System of flora and fauna based on microservices architecture. The system uses the Extreme Programming method. The system is built using the React JS framework for websites and React Native for mobile, and the MongoDB database. Testing services using Postman tools, testing website features using Selenium tools, and testing mobile applications using black boxes. equivalence partition and Mean Opinion Score to measure the feasibility of the system based on the point of view of the officers and the point of view of the tourists. The assessment from the officers got the results of 71% Strongly Agree, and 29% Agree. Based on the point of view of tourists, the results obtained are 47.9% Strongly Agree, 43% Agree, and 3.8% Neutral</em></p> 2023-09-30T00:00:00+08:00 ##submission.copyrightStatement## https://jtika.if.unram.ac.id/index.php/JTIKA/article/view/340 PEMBUATAN TERMOSTAT CERDAS TANGGAP PERUBAHAN CUACA BERBASIS IOT UNTUK HIDROPONIK SISTEM WICK PADA TANAMAN PAKCOY 2023-12-20T01:06:19+08:00 Ni Luh Putu Riana Damayanti riana.damayanti04@gmail.com I Gede Putu Wirarama Wadashwara Wirawan wirarama@unram.ac.id Andy Hidayat Jatmika andy@unram.ac.id <p>Hydroponics is an agricultural cultivation that uses water as a growing medium. One of the plants that can be cultivated <br>hydroponically is the pakcoy plant. Pakcoy is a plant with an optimum water temperature range for its growth which is <br>15-30°C. The process of stabilizing the water temperature is important because the optimal temperature will make plant <br>growth good. Currently, the process of monitoring and stabilizing water temperature is done manually and the process <br>is carried out periodically so it is not easy to do. Therefore, the authors conducted a study to design an IoT-based <br>intelligent thermostat for wicking hydroponic systems for pakcoy plants. The intelligent thermostat system consists of a <br>DS18B20 water temperature sensor, a Peltier cooling system, and a water pump and uses the MQTT data communication <br>protocol. This research was conducted with 3 stages of testing, namely, black box testing, Peltier calibration testing, and <br>the final stage of testing which is divided into 2, namely without using a website and using a website. The final stage of <br>testing is carried out in the morning, afternoon, evening, night, and early morning with the results of the system testing <br>working to stabilize the water temperature when there is a temperature change of up to 2°C and then stabilized <br>periodically to a tolerance of 1°C. So it can be concluded that the system in this study belongs to the category of a good <br>system and is feasible to use.</p> 2023-09-30T00:00:00+08:00 ##submission.copyrightStatement## https://jtika.if.unram.ac.id/index.php/JTIKA/article/view/342 ANALISIS SENTIMEN MASYARAKAT TERHADAP KEBIJAKAN PENERAPAN PPKM DI MEDIA SOSIAL TWITTER DENGAN MENGGUNAKAN METODE XGBOOST 2023-12-20T01:10:49+08:00 I Putu Angga Purnama Widiarta anggawidiarta55@gmail.com Ramaditia Dwiyansaputra rama@unram.ac.id Arik Aranta arikaranta@unram.ac.id <p>Corona Virus Disease (Covid-19) is a virus that causes respiratory infections in humans. Indonesia is a country that has been infected with this virus, the implementation of restrictions on community activities (PPKM) is implemented by the government as a policy to reduce the spread of Covid-19. Pros and cons arise due to the impact of the policy. Therefore, assessing how public opinion or sentiment is towards this policy is important to do. This study aims to implement the XGBoost algorithm in the sentiment classification process. Sentiment analysis targets public opinion on Twitter, the dataset used is 1958 positive tweets and 3980 negative tweets. At the preprocessing stage, case-folding, stopwords removal, tokenizing, and stemming are carried out. Giving weights to terms uses the Term Frequency-Relevance Frequency method to turn each term into a number. In the final stage, classification is carried out by implementing the XGBoost <br>method with optimal hyperparameter scores. K-fold cross validation is used to evaluate model performance. Based on the evaluation results, the best performance was obtained by a model with a hyperparameter value with an n_estimator of 1000, a learning_rate of 0.1, a max_depth of 6, a subsample of 1, a gamma of 0 and utilizing the stem-ming process in preprocessing with an accuracy value of 85.27%. precision of 86.07%, and recall of 85.23%.</p> 2023-09-30T00:00:00+08:00 ##submission.copyrightStatement## https://jtika.if.unram.ac.id/index.php/JTIKA/article/view/223 PEMETAAN DAERAH BERDASARKAN JENIS USAHA UMKM DENGAN ALGORITMA K-MEANS DI JAWA BARAT 2023-12-20T01:15:18+08:00 Hendrik Hendrik HendrikLay0916@gmail.com Teady Matius Surya Mulyana tmulyana@bundamulia.ac.id <p>Usaha mikro, kecil, dan menengah (UMKM) adalah usaha ekonomi produktif yang dimiliki perorangan, dan jumlah UMKM banyak tersebar di Provinsi Jawa Barat tergolong banyak, dan terdapat banyak jenis usahanya, seperti usaha akseksoris, border, batik, mebel, dan lainnya, Oleh karena itu akan menyebabkan susahnya pemerintah untuk pengelompokan data-data pelaku usaha mikro, kecil, dan menengah. Ruang lingkup penelitian, yaitu usaha mikro, kecil dan menengah (UMKM) yang terdapat pada Provinsi Jawa Barat. Dan serta tujuan dari penelitian ini yaitu untuk mengetahui nilai k yang optimal dari dataset yang digunakan, serta mengetahui tingkat akurasi dari setiap klatser. Metode dan algoritma yang akan digunakan dalam penelitian kali ini, yaitu algortima K-means dan metode Elbow. Dari hasil penerapannya, Metode K-Means dapat mengklasterkan dataset usaha mikro, kecil, dan menengah (UMKM) di Jawa Barat dengan mendapatkan hasil cluster mulai cari C1, C2, C3, C4, C5 dengan jumlah anggota dari 3, 57, 44, 40, dan 18 anggota. Berdasarkan dari hasil pengklasteran di ketahui bahwa C1 merupakan tingkat umkm yang sedang, C2 merupakan tingkat umkm sangan rendah, C3 merupakan tingkat umkm yang rendah, C4 merupakan tingkat umkm yang tinggi, dan C5 merupakan tingkat umkm yang sangat tinggi. Hasil perhitungan dari metode elbow didapatkan nilai K optimal dari dataset yaitu 5.</p> 2023-09-30T00:00:00+08:00 ##submission.copyrightStatement## https://jtika.if.unram.ac.id/index.php/JTIKA/article/view/244 SISTEM PAKAR DIAGNOSIS KONDISI KESEHATAN MENTAL MASYARAKAT USIA 18-23 TAHUN MENGGUNAKAN METODE CERTAINTY FACTOR DAN FORWARD CHAINING 2023-12-20T01:25:57+08:00 Anggi Tasari sarianggita934@gmail.com Edward Anggiat Maju Simanjutak edusimanjuntak121314@gmail.com Gabriel Christian gabrielcwdo18@gmail.com Ronaldo Mardianson Sinaga ronaldomardianson@gmail.com <p><em>Kesehatan merupakan suatu keadaan manusia dalam kondisi sehat fisik, mental, sosial, dan kesejahteraan sosial serta bebas dari penyakit. Kesehatan mental merupakan komponen yang mendasar dari defenisi kesehatan. Penyakit mental dapat mempengaruhi kehidupan seseorang untuk menjalani kehidupan sehari-hari. Penyakit mental dimulai dari usia berapapun. Pada kasus ini penyakit mental dialami oleh masyarakat usia 18-23 tahum, dikarenakan masyarakat di usia tersebut sering mengalami stres bahkan sampai mengakibatkan traumatis. Penelitian ini bertujuan untuk merancang dan membangun sistem pakar untuk Diagnosis Kondisi Kesehatan Mental Masyarakat Usia 18-23 Tahun Menggunakan Metode Certainty Factor dan Forward Chaining, sehingga dapat membantu dan memberikan solusi terhadap masyarakat untuk mengetahui gejala kesehatan mental. Penelitian ini juga bertujuan untuk meningkatkan kesadaran masyarakat akan pentingnya kesehatan mental dan mendeteksi dini apakah seseorang memiliki kecenderungan untuk mengalami masalah pada kesehatan mentalnya dengan sistem pakar menggunakan metode Certainty Factor dan Forward Chaining. Metode yang digunakan pada penelitian ini adalah metode Forward Chaining dan infomasi yang diperoleh dari pakar kemudian diterjemahkan kedalam pohon keputusan kemudian diterjemahkan. Untuk proses menentukan aturan gejala dan penyakit memerlukan metode forward chaining. Forward chaining adalah pelacakan ke depan yang memulai dari sekumpulan fakta-fakta dengan mencari kaidah yang cocok dengan dugaan/hipotesa yang ada menuju kesimpulan.&nbsp; Dalam proses penilaian, dalam menggunakan metode selanjutnya dibutuhkan pengukur derajat keyakinan yaitu certainty factor. Untuk metode pengumpulan data dilakukan dengan melakukan studi literatur serta mengumpulkan data-data terkait gangguan mental pada masyarakat. Data yang dikumpulkan berasal dari hasil wawancara dengan pakar.</em></p> 2023-09-30T00:00:00+08:00 ##submission.copyrightStatement## https://jtika.if.unram.ac.id/index.php/JTIKA/article/view/259 IMPLEMENTASI PERANGKAT OTOMASI PADA BROODER LISTRIK AYAM SENTUL DENGAN INFORMASI BERBASIS PUSH NOTIFICATIONS 2023-12-20T01:29:00+08:00 Irfan Ardiansah irfan@unpad.ac.id Eka Anugrah eka.anugrah@gmail.com Iwan Setiawan iwan.setiawan@unpad.ac.id Zaida Zaida zaida@mail.unpad.ac.id <p><em>Sentul is one of local chicken species in which developed in Ciamis, West Java. In order to develop optimally, Sentul Chicken requires appropriate temperature. In the starter period, Sentul Chicken needs a constant temperature between 32</em>˚C<em> – 35</em>˚C<em>, to keep that temperature’s requirement, a brooder is needed. Brooder is an artificial heating that has function to fulfill the temperature’s provision for the starter period of Sentul Chicken. The aim of this research are to design a control of brooder automatically to meet the needs of temperature and light for Sentul Chicken’s starter period, designing a monitoring system utilizing push notifications technology which can support the process of supervising the brooder performance in order to comply temperature’s condition and light for the starter period of Sentul Chicken, and able to provide enhancement of the Sentul chicken’s weight in starter period. This research is using engineering method. The outcome of this research has proved that the tool of brooder can work automatically to fulfill temperature’s requirement (approximately between 32</em>˚C<em> – 35</em>˚C<em> for starter period of Sentul Chicken. Monitoring system using push notifications can be established by pushbullet application that able to observe brooder execution in real time and running for whole 24 hours, and this automatic controller can offer positive impact for the escalation of Sentul Chicken’s weight.</em></p> 2023-09-30T00:00:00+08:00 ##submission.copyrightStatement## https://jtika.if.unram.ac.id/index.php/JTIKA/article/view/276 RANCANG BANGUN APLIKASI THE HAFIZ GUNA MENINGKATKAN HAFALAN AL-QUR’AN BERBASIS MOBILE 2023-12-20T01:31:07+08:00 Muhammad Rizqi Aditia rizqiaditia27@gmail.com Nadiyasari Agitha nadiya@unram.ac.id Sri Endang Anjarwani endang@unram.ac.id <p>The Quran is a holy book that serves as the foundation for the lives of muslims. Therefore, it is a duty for Muslims to study the Quran and understand its content from an early age. One way that Muslims can understand and practice the content of the Quran is by memorizing it. According to data from the Ministry of Religion of the Republic of Indonesia in 2020, there are 26,973 Islamic boarding schools (pesantren) spread throughout Indonesia. With the increasing number of pesantren in Indonesia, it is expected that many people will become memorizers of the Quran or Hafiz. However, 126 Hafiz face difficulties when memorizing outside of the pesantren environment. This is due to lack of time for review, lack of memorizing partners, and lack of motivation. Based on this problem, the author proposes the idea of developing a mobile application called The Hafiz with Extreme Programming method and the Flutter framework. The application features useful features such as audio of the Quran, a feature for testing memorization. The application has been tested with unit testing, widget testing and received Mean Opinion Score value of 4.56, indicating that The Hafiz application runs well and meets user needs.</p> 2023-09-30T00:00:00+08:00 ##submission.copyrightStatement## https://jtika.if.unram.ac.id/index.php/JTIKA/article/view/354 ANALISA PERBANDINGAN ARSITEKTUR DATA CENTER SWITCH CENTRIC DAN SERVER CENTRIC PADA SISTEM E-VOTING 2023-12-20T01:35:10+08:00 Raphael Bianco Huwae raphael.bianco.huwae@unram.ac.id Andy Hidayat Jatmika andy@unram.ac.id Noor Alamsyah nooralamsyah@unram.ac.id <p><em>The development of e-voting was first introduced in the United States in 1974. Various countries around the world have also implemented e-voting using Electronic Voting Machines (EVMs), the internet, mobile phones, fax, and other technologies to facilitate the electoral process. Meanwhile, in Indonesia, the voting system is currently conducted solely through legislative and voting systems such as paper ballots or checkmarks. Therefore, in building an e-voting system, a Data Center is needed to store, process, disseminate data, accelerate the electoral process, and prevent the fraud that has been observed in traditional elections. This often leads to the idea of an e-voting system that is expected to effectively and efficiently accommodate all electoral principles while ensuring that democratic principles are upheld.</em></p> 2023-09-30T00:00:00+08:00 ##submission.copyrightStatement## https://jtika.if.unram.ac.id/index.php/JTIKA/article/view/350 DAMPAK VARIASI KECEPATAN NODE TERHADAP PROTOKOL ROUTING MEDSR-LET PADA JARINGAN MANET 2023-12-20T01:39:13+08:00 Andy Hidayat Jatmika andy@unram.ac.id Noor Alamsyah nooralamsyah@unram.ac.id Raphael Bianco Huwae raphael.bianco.huwae@unram.ac.id <p><em>Penelitian ini bertujuan untuk melakukan analisis dampak variasi kecepatan node terhadap protokol routing Minimum Energy Dynamic Source Routing-Link Expiration Time (MEDSR-LET) pada jaringan Mobile Ad hoc Network (MANET). Protokol routing MEDSR-LET merupakan hasil modifikasi dari protokol Dynamic Source Routing (DSR) yang ditambahkan algoritma Link Expiration Time (LET) pada kerangka protokol tersebut agar lebih optimal dalam hal pencarian rute. Namun, protokol MEDSR-LET belum teruji dalam lingkungan jaringan yang kecepatan nodenya bervariasi, karena pada penelitian yang pernah dilakukan sebelumnya hanya diuji pada node yang hanya sampai kecepatan 20 m/s dan Quality of Service (QoS) yang diukur hanya konsumsi energinya saja. Penelitian ini menggunakan Network Simulator 2 (NS-2) untuk dilakukan analisis dampak variasi kecepatan node terhadap protokol routing MEDSR-LET.</em></p> <p><em>Berdasarkan hasil ujicoba dari skenario simulasi jaringan yang telah diberikan, protokol routing MEDSR-LET ternyata mengalami kesulitan dalam menjaga koneksi yang stabil pada node-node berkecepatan tinggi sehingga dapat mengakibatkan peningkatan overhead pengiriman paket, yang dapat mengurangi throughput yang sebenarnya digunakan untuk pertukaran data dan juga menurunkan nilai PDR. Kecepatan node yang tinggi juga mempengaruhi delay, dimana protokol MEDSR-LET mengalami peningkatan delay yang cukup signifikan.</em></p> <p><strong><em>Keywords</em></strong><strong><em>: </em></strong><em>kecepatan node, mobilitas node, reliabilitas rute, protokol routing, MEDSR-LET</em></p> 2023-09-30T00:00:00+08:00 ##submission.copyrightStatement## https://jtika.if.unram.ac.id/index.php/JTIKA/article/view/324 DESAIN UI/UX SISTEM INFORMASI KERJASAMA INTERNASIONAL UNIVERSITAS MATARAM 2024-01-02T13:21:56+08:00 Robby Igfirly Mustaib robbyigfirly007@gmail.com Nadiyasari Agitha nadiya@unram.ac.id Sri Endang Anjarwani endang@unram.ac.id <p>Universitas Mataram (UNRAM) merupakan perguruan tinggi yang menyediakan berbagai layanan sistem informasi untuk sivitas akademik dan umum. Namun, dalam penerapan sistem kerjasama di UNRAM, terdapat masalah terkait visualisasi <em>user interface</em> (UI) dan <em>user experience</em> (UX) pada sistem informasi kerjasama, serta masalah dalam <em>entry</em> dan <em>sorting data</em> kerjasama dan mahasiswa asing yang masih menggunakan excel. Penelitian ini bertujuan untuk menerapkan peningkatan UI/UX pada sistem kerjasama UNRAM. Dalam penelitian ini, dirancang <em>user interface</em> (UI) dan <em>user experience</em> (UX) sebuah website yang digunakan untuk mengelola kerjasama UNRAM hingga tahap <em>prototype</em>-hasil pengodean. Metode <em>design thinking</em> digunakan dalam proses perancangan yang terdiri dari tahapan <em>empathize</em>, <em>define</em>, <em>ideate</em>, <em>prototype</em>, dan <em>test</em>. Pengujian konsep dilakukan menggunakan metode <em>Single Ease Question</em> (SEQ) dan pengujian usabilitas menggunakan <em>System Usability Scale</em> (SUS). Pengujian melibatkan 20 responden, termasuk staf di bidang kerjasama UNRAM. Hasil pengujian konsep menunjukkan bahwa konsep dinilai memiliki keunikan, perbandingan baru, sangat menarik, berguna, dipercaya, serta relevan. Pengujian metode SUS menghasilkan skor 85, yang termasuk dalam kategori "<em>acceptable</em>" dan "<em>good</em>". Perubahan pada <em>wireframe</em> dan implementasi <em>design system</em> juga dilakukan untuk memastikan pengkodean yang lancar dan mengurangi keraguan terhadap ketentuan desain. Kesimpulannya, penelitian ini memberikan kontribusi dalam meningkatkan UI/UX sistem kerjasama UNRAM dan memberikan dasar yang kuat bagi pengembangan lebih lanjut.</p> 2023-09-30T00:00:00+08:00 ##submission.copyrightStatement## https://jtika.if.unram.ac.id/index.php/JTIKA/article/view/283 ANALISIS SENTIMEN TERHADAP PROGRAM MERDEKA BELAJAR-KAMPUS MERDEKA (MBKM) PADA TWITTER MENGGUNAKAN ALGORITMA NAIVE BAYES CLASSIFIER 2024-01-02T17:40:53+08:00 Rody Safri Irawansyah rodisafri1999@gmail.com Lalu A. Syamsul Irfan A irfan@unram.ac.id Giri Wahyu Wiriasto giriwahyuwiriasto@unram.ac.id <p class="Abstract"><em><span lang="EN-US">Merdeka Belajar-Kampus Merdeka (MBKM) is a policy of the Indonesian Ministry of Education and Culture, which plays an important role in autonomous and flexible learning in student learning activities outside of study programs. However, MBKM has pros and cons, so it is necessary to analyze and evaluate its policies to improve performance through feedback from the community. This research will conduct a sentiment analysis on the MBKM policy on Twitter user tweets from 2022 with the keywords "MBKM", "kampus merdeka" and "merdekbelajar". The Naive Bayes Classifier (NBC) is used to analyze multiclass sentiment in Indonesian tweets into 3 (Three) Sentiment classes. Dataset collection and preparation begins with feature selection, eliminating duplication and tweet selection, then pre-processing is carried out, namely case folding, tokenizing, character cleaning, normalization to stemming for use in Labeling using Textblob which is required in making the Naïve Bayes Classifier model. The results of this study resulted in the Naïve Bayes model which had been trained from training data of 300 tweets with the best accuracy value of 79.66% having a Precision value of 79%, a Recall value of 80% and an F1-Score value of 79%. from the test of 1175 data the results were dominated by positive sentiment, namely 53.44%, followed by "neutral" sentiment, namely 34.47%, and "negative" sentiment, namely 12.08%.</span></em></p> <p>&nbsp;</p> 2023-09-30T00:00:00+08:00 ##submission.copyrightStatement## https://jtika.if.unram.ac.id/index.php/JTIKA/article/view/347 SISTEM INFORMASI CUSTOMER RELATIONSHIP MANAGEMENT PADA RESTORAN DI KOTA MATARAM 2024-01-02T19:57:24+08:00 Valia Adri Choirunnisa adrivalia73@gmail.com Noor Alamsyah nooralamsyah@unram.ac.id Budi Irmawati budi-i@unram.ac.id <p><strong><em>Internet technology has a significant impact, especially for online restaurant businesses that require a restaurant management information system, known as CRM (Customer Relationship Management) system. The case study used in developing the CRM system for Valia's Kitchen. Valia's Kitchen is an online restaurant business that has been operating in the culinary industry since 2019, located in the city of Mataram. Valia's Kitchen has partnered with a ride-hailing company and provides its own application. However, there are limitations and shortcomings in the operational management provided, such as the inability to display customer data such as names and contact numbers due to privacy and security concerns, the inability to back up all order data, lack of inventory management for products and raw materials, and the absence of a cash flow record for expenditure and income over a specific period, leading to limitations in operational management features. To address these issues, the researchers designed a CRM Information System for Restaurants in the city of Mataram to improve operational efficiency and facilitate transactions with customers. The system is web-based, built using PHP programming language with a MySQL database, following the Personal Extreme Programming (PXP) development methodology, and tested using black box testing approach. The implementation of CRM in the system is manifested in features such as customer data management, menu management, raw material management, promotions management, partner management, raw material purchasing, restaurant expenses management, cash flow recording, transaction reports, restaurant statistics, and detailed reviews. The Black Box Testing results showed that the system features were functioning well without any errors. Furthermore, the User Acceptance Testing (UAT) results indicated that the average assessment scores for three admin respondents were 82%, while the average assessment scores for eleven respondents on the customer side were 86%.</em></strong></p> 2023-09-30T00:00:00+08:00 ##submission.copyrightStatement## https://jtika.if.unram.ac.id/index.php/JTIKA/article/view/343 PERBANDINGAN CITRA RGB DAN GRAYSCALE UNTUK KLASIFIKASI WAJAH BERMASKER MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK 2023-10-02T09:57:19+08:00 Muhammad Sabirin msabirin1123@gmail.com <p><em>significance of mask usage, many individuals have not been using them correctly. In order to address this issue, a system for image processing was developed using Convolutional Neural Network (CNN) capable of identifying three categories: wearing masks correctly, wearing masks incorrectly, and not wearing a mask. The dataset employed consists of 500 images for each category. Additionally, a comparison between using RGB and grayscale images was conducted, revealing that the RGB-based image model achieved an accuracy of 94.78%, while the Grayscale image reached an accuracy of 89.22%. These results confirm the importance of color information in the mask-wearing position detection process. Through this research, it is hoped to contribute to raising public awareness regarding the significance of proper mask usage in the efforts against Covid-19.</em></p> 2023-10-02T09:29:12+08:00 ##submission.copyrightStatement##