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MULTI DIRECTIONAL FACE RECOGNITION DENGAN METODE CNN (CONVOLUTIONAL NEURAL NE…
Face recognition is a field that has garnered significant attention in the development of artificial intelligence systems. In this research, we focus on face recognition from multiple viewpoints using the Convolutional Neural Network (CNN) method. Conventional approaches to face recognition often overlook variations in face position and orientation, leading to unsatisfactory performance in real…
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- xv, 86 hlm.; Ilus.; 29 cm
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- T1250622023
SISTEM PAKAR DIAGNOSA KERUSAKAN MOBIL LAND CRUISER BJ40 MENGGUNAKAN METODE FO…
The Land Cruiser BJ40 is known to experience various issues such as electrical problems, ignition system issues, worn-out suspension components, and a lack of maintenance. Furthermore, there is a shortage of skilled experts or mechanics who can repair these issues due to the limited availability of information and expertise. Therefore, a system is needed to assist users in diagnosing temporary …
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- xv, 83 hlm.; Ilus.; 29 cm
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- T1269462023
PERBANDINGAN ALGORITMA BACKPROPOGATION DAN SUPPORT VECTOR MACHINE (SVM) UNTUK…
In a college, students not only have the opportunity to learn as usual but also to develop skills that can be honed by participating in one or more organizations on and off campus. Many people think that being involved in organizations will prolong a student's study duration, but that is not entirely true. Many of these students focus on their organizations while still performing well in their …
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- xiv, 75 hlm.; Ilus.; 29 cm
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- T1246502023
PERBANDINGAN METODE SAW DAN SMART DALAM SISTEM REKOMENDASI PESERTA DIDIK BARU
The increasing number of students who register for school, resulting in problems that often occur in schools when implementing the admission of new students, namely not enough school capacity to accommodate all students. So that the school selects new students to get the best students. In this study compared the SAW and SMART methods in the admission recommendation system of new participants. S…
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- xiii, 61 hlm.; Ilus.; 29 cm
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- T1230732023
ANALISA PERBANDINGAN FUZZY LOGIC SUGENO DAN MAMDANI UNTUK MEMPREDIKSI JUMLAH …
Bottled drinking water (AMDK) is drinking water that is ready for consumption without having to go through the heating process first and its practical use, so now many people choose to use AMDK which makes the amount of AMDK production increase. The amount of bottled water production needs to be planned appropriately because it can affect the level of sales and market demand. To plan the amount…
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- xvii, 119 hlm.; ilus.; 29 cm
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- T1149932023
KLASIFIKASI EMOSI PADA TWITTER MENGGUNAKAN BIDIRECTIONAL LONG SHORT TERM MEMORY
Twitter is one of the social media platforms where users can share messages. These messages often contain emotions. The conveyed emotions in these tweets can be recognized through an emotion classification process. However, the text data in tweets is often unstructured, so the appropriate method needs to be applied for emotion classification. The method used in this research involves the utiliz…
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- xiv, 89 hlm.; ilus.; 29 cm
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- T1151612023
WORD SENSE DISAMBIGUATION (WSD) PADA KALIMAT BAHASA INDONESIA MENGGUNAKAN ALG…
The Indonesian language is known to have several words that are commonly recognized for their ambiguous nature, meaning they possess more than one meaning. Word Sense Disambiguation (WSD), a branch of Natural Language Processing (NLP), deals with the challenge of resolving this ambiguity and identifying the precise meaning of a word based on its context. Among the algorithms used for WSD, the S…
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- xvi, 94 hlm.; ilus.; 29 cm
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- T1257082023
SISTEM PAKAR IDENTIFIKASI KERUSAKAN MOBIL MENGGUNAKAN METODE TSUKAMOTO
Kerusakan pada mobil sebagian besar terjadi dikarenakan kelalaian dari pemilik mobil untuk melakukan perawatan dan pengecekan kondisi kendaraan secara berkala, sebagian besar pemilik mobil bahkan tidak menyadari bahwa kondisi mobil yang digunakan sudah tidak lagi baik dan memerlukan perawatan guna mencegah kerusakan yang lebih serius dikemudian hari. Dalam Skripsi ini penulis merancang sebuah s…
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- xvii, 130 hlm.; ilus.; 29 cm
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- T1270082023
PREDICTING SALARY OUTCOME IN THE FIELD OF DATA SCIENCES WITH EXTREME GRADIENT…
In this study, the crucial aspect of job marketing was addressed, specifically the need for accurate salary predictions based on job seekers' skills. It is vital to minimize disparities between applicants' actual abilities and their salary expectations to ensure fairness and transparency in the hiring process. To tackle this challenge, the development of a salary prediction system tailored to d…
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- xi, 56 hlm.; ilus.; 29 cm
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- T1273092023
KLASTERISASI DATA TAKE-OFF PENERBANGAN DI BANDAR UDARA SULTAN HASANUDDIN MENG…
Sultan Hasanuddin Airport has an accident virginity rate with a total movement of 212,656 and a deviation value (the result of calculating the deviation between expected occurrence and recorded occurrence) of 3,540. This is due to many factors, such as natural factors, human errors, etc. Then it is necessary to classify flight data in the take-off phase in order to visualize the pattern of data…
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- xiv, 74 hlm.; Ilus.; 29cm
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- T1169342023
ANALISIS SENTIMEN KOMENTAR INSTAGRAM MENGGUNAKAN LONG SHORT-TERM MEMORY (LSTM…
Social media is a means for people to express their opinions on various topics that occur in the world. One of the most widely used social media is Instagram. Opinions in the form of comments on Instagram are generally written using abbreviated and non-standard language. In analyzing these comments, a method is needed to sort the comments to make it easier to determine the sentiment of the comm…
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- xvii, 85 hlm.; Ilus.; 29 cm
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- T1271382023
PERBANDINGAN METODE DEMPSTER SHAFER DAN DECISION TREE UNTUK DIAGNOSA VIRUS IN…
Influenza is a disease caused by the influenza virus that can easily attack anyone. In this study compared the Dempster Shafer and Decision Tree methods for the diagnosis of influenza disease in humans. The Decision Tree method establishes rules for diagnosing influenza in humans as a support in making decisions about the disease suffered. Uncertainty calculations are needed in expert systems s…
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- xvi, 116 hlm.; Ilus.; 29 cm
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- T1128832023
ANALISIS SENTIMEN ULASAN PRODUK MENGGUNAKAN BIDIRECTIONAL LONG SHORT-TERM MEM…
Sentiment analysis is a computational study of human opinions, sentiments, emotions, and behavior toward entities or attributes expressed through written text. Sentiment analysis plays a significant role for companies and organizations because public opinion about their products and services is valuable for business strategy and evaluation. This research developed a system to classify product r…
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- xv, 103 hlm.; Ilus,; 29 cm
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- T1056302023
PENGAMBILAN KEPUTUSAN NPC PADA GAME MATH ATTACK MENGGUNAKAN METODE MONTE CARL…
Turn-Based Strategy (TBS) Game is a game that is played in turns with an opponent. Non-Player Character (NPC) is an opponent that the player will face in a TBS game. NPC is a character that is controlled by the system with rules that are set by the system. This makes it easy for players to predict the NPC’s actions. To overcome this problem, this research will apply the Monte Carlo Tree Seatc…
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- xiv, 86 hlm.; ilus.; 29 cm
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- T1280272023
ANALISIS SENTIMEN APLIKASI DUOLINGO DI GOOGLE PLAY STORE MENGGUNAKAN OPTIMASI…
Duolingo is one of the popular online learning applications in Indonesia, released in 2011. In order to compete with other competitors and increase its popularity, user satisfaction becomes one of the crucial aspects that Duolingo needs to pay attention to. Based on the identification results of online reviews on the Duolingo application in the Google Play Store, there are differences in user p…
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- xix, 72 hlm.; Ilus.; 29 cm
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- T1253202023
ANALISIS SENTIMEN PADA ULASAN PENGGUNA APLIKASI AJAIB DENGAN ALGORITMA LONG S…
Ajaib is one of the largest applications in Indonesia that focuses on stock and mutual fund investments. User reviews of the application are one way for Ajaib to understand user needs and make improvements to the application. This research aims to analyze the sentiment in user reviews of the Ajaib application. Long Short-Term Memory (LSTM) is used as the method for sentiment analysis, and Word2…
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- xviii, 89 hlm.; Ilus.; 29 cm
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- T1143172023
KLASIFIKASI SENTIMEN REVIEW APLIKASI EDUTECH ZENIUS DENGAN ALGORITMA CONVOLUT…
Zenius is one of the rapidly growing edutech applications in Indonesia. In the edutech industry, understanding and promptly responding to user reviews is crucial to enhance the quality of the application's services, enabling Zenius to remain competitive against other competitors. In order to achieve this, sentiment classification is used by classifying user reviews into positive, negative, or n…
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- xx, 115 hlm.; Ilus.; 29 cm
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- T1143702023
PREDIKSI JUMLAH WISATAWAN MANCANEGARA DI INDONESIA MENGGUNAKAN METODE FUZZY T…
Tourism is an attractive sector for foreign tourists to visit or vacation in a country. A high number of foreign tourist visits indicates that the country has a strong attraction in terms of tourism, but the number of foreign tourist visits each period fluctuates. Predictions of the number of foreign tourists are very important to be used as information in making decisions and planning appropri…
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- xvi, 63 hlm.; ilus.; 29 cm
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- T928722023
IMPLEMENTASI ALGORITMA JUMP POINT SEARCH DALAM PENCARIAN RUTE TERCEPAT PADA G…
The developed game is an adventure game set in a labyrinth. This game features NPCs as enemies that will capture the character during gameplay. In order to achieve this effectively, the algorithm that will be employed is the jump point search algorithm, enabling NPCs to find the fastest path to the character.The testing conducted in this research includes evaluating the number of visited nodes …
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- xv, 64 hlm.; ilus.; 29 cm
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- T1281122023
AUGMENTED REALITY (AR) BERBASIS MARKER UNTUK PENGENALAN MAKANAN KHAS KOTA PRA…
Prabumulih is a city that cultivates its own plantation products using the surrounding land by planting selected pineapples. So that farmers produce fresh pineapple fruit different from other cities, therefore, Prabumulih City gets the nickname Pineapple City. Pineapple fruit that can be processed into foods such as, Pineapple cake, Pineapple Dodol and Pineapple chips. It can even be used as a …
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- T1264502023
PENDETEKSIAN WAJAH BERKELOMPOK MENGGUNAKAN DEEP LEARNING
Face detection is one of the main challenges in the field of computer vision and artificial intelligence. The development of this particular technology has been highlighted due to its wide range of applications such as security surveillance systems, crowd analysis systems, and can be collaborated with face recognition systems for face identification purposes. The challenge emerges when attempti…
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- xvi, 83 hlm.; ilus.; 29 cm
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- T1280312023
KLASIFIKASI INTENT MENGGUNAKAN SOFTMAX DAN KLASIFIKASI ENTITAS MENGGUNAKAN CO…
This research aims to develop a Chatbot Intent Classification and Entity Classification on the RASA Framework using the Softmax and Conditional Random Field methods. In the process of creating a chatbot, there are several problems that often arise, one of which is the low accuracy of entity classification and intent classification, which causes the chatbot to not perform as expected. These prob…
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- xiv, 80 hlm.; Ilus.; 29 cm
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- T1225962023
DIAGNOSA PENYAKIT IKAN CUPANG MENGGUNAKAN METODE FUZZY LOGIC SUGENO DAN FORWA…
Ikan cupang sangat digemari oleh masyarakat segala usia yang menjadikan ikan cupang sebagai usaha kecil menengah yang menganggap ikan cupang sebagai bisnis, namun pemeliharaan ikan cupang justru sebaliknya. Mudahnya beternak ikan cupang dan ketidaktahuan dalam merawat ikan cupang yang baik dapat menyebabkan kematian pada ikan cupang yang disebabkan oleh berbagai penyakit. Oleh karena itu dibuat…
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- xv, 88 hlm.; ilus.; 29 cm
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- T1267992023
IMPLEMENTASI ALGORITMA FISHER-YATES UNTUK PENGACAKAN JAWABAN PADA PERMAINAN "…
There are many ways to memorize the Quran, and one of them is by utilizing technology. Educational games are a technology that combines knowledge and fun. Games themselves are engaging because they can generate different possibilities, one of which is by introducing randomness into the game. Educational games can be used as a means to memorize the Quran, such as creating a game called "Sambung …
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- xv, 137 hlm.; ilus.; 29 cm
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- T1246352023
FORM MANAGER PADA E-COMMERCE CHATBOT BERBASIS FRAME-BASED
E-commerce users in Indonesia from 2017 to 2023 are increasing every year. The more users in e-commerce, the more requests will be submitted. This can cause the response from the seller to be slower. Users also sometimes provide unstructured information in conversations so that sellers have difficulty collecting and processing data efficiently. To overcome these problems, the implementation of …
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- xiii, 101 hlm.; ilus.; 29 cm
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- T1229882023
THE APPLICATION OF CLEAN ARCHITECTURE PRINCIPLES WITH MVVM (MODEL-VIEW-VIEWMO…
Clean Architecture principles, Model-View-ViewModel (MVVM) architecture, Reactive Programming, and Declarative UI (User Interface) are a set of principles and practices aimed at producing highly maintainable, scalable, and testable applications. In this thesis, the writer demonstrates how the application of those principles and practices when implemented can produce maintainable, scalable, and …
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- xv, 96 hlm.; ilus.; 29 cm
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- T1171712023
DETEKSI DAN KLASIFIKASI MALWARE PADA CITRA GRAYSCALE DENGAN MENGGUNAKAN DEEP …
This research focuses on the utilization of Deep Learning techniques for malware detection and classification. By representing malware samples as grayscale images, a Deep Learning model based on Convolutional Neural Networks (CNN) is developed. The model is trained using a dataset containing grayscale malware samples. Experimental results demonstrate a high level of accuracy of the Deep Learnin…
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- xiv, 70 hlm.; ilus.; 29 cm
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- T1261862023
PREDIKSI PENGGUNAAN LISTRIK PADA SEBUAH RUMAH MENGGUNAKAN LONG SHORT-TERM MEMORY
Prediction, also known as forecasting, is the process of estimating events that will occur in the future. In this research, software is developed that can predict electricity usage in a house using the Long Short-term Memory method, which is a Recurrent Neural System designed to overcome vanishing gradient problem. In this research, the model training is done with 2 configurations: split train-…
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- T1271292023
SISTEM PENDETEKSI ALERGEN PADA PRODUK KEMASAN UNTUK PENDERITA ECZEMA MENGGUNA…
Eczema, also known as dermatitis, is a chronic skin condition characterized by recurring episodes of dry and itchy skin. While it cannot be cured, it can be managed through medication and by addressing triggering factors such as stress and certain foods. To minimize eczema flare-ups through dietary intervention, researchers have conducted studies to detect allergenic food compositions using OCR…
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- xiv, 62 hlm.; ilus.; 29cm
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- T1214352023
MPLEMENTASI MARKOV MODEL PADA PERUBAHAN STATE NPC DALAM GAME RPG "THE DUNGEON"
Nowadays, technology is undergoing a tremendous development. One of the developments is the forming of one of the form of technology development called games. In games theres a component called NPC that can move itself that happens in several step or states. In general NPC state changes commonly use FSM (Finite State Machine) method. Theres another method like markov method that usually used to…
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- xx, 99 hlm.; Ilus.; 29 cm
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- T1034542023
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