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KLASIFIKASI DATASET MENGGUNAKAN METODE NAIVE BAYES
In this study, a system was built to do dataset classification using Naive Bayes method. The study aims to look at the classification performance of Naive Bayes whether it is influenced by dataset characteristics. The study used three data sets with a fairly different number of attributes, instantaneous numbers and data types. Split validation 70% and K-fold Cross validation with k = 10 used as…
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- xiv, 69 hlm,: ilus.; 29 cm
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- T410192021
SISTEM KOREKSI KESALAHAN TULISAN PADA TEKS KARANGAN SISWA SEKOLAH DASAR MENGU…
One of the crucial things in making documents and texts is a typographical error. There are several types of typographical errors, namely insertion errors, deletion errors and substitution errors. In the text written by elementary school students, typographical errors occur because students do not understand how to make essays in Indonesian which are standardized and in accordance with EYD rule…
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- v, 73 hlm,: ilus.; 29 cm
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- T399772021
PEMILIHAN DUTA BUDAYA PALEMBANG MENGGUNAKAN METODE PROFILE MATCHING
Following the ambassador election event is becoming a trend among Indonesian youths lately. Being an ambassador is not an easy thing, an ambassador who is elected must be a good person and have the ability to be a role model for the community. One of them is the Cultural Ambassador. To select cultural ambassadors, there is a long process in the form of assessments that should be calculated prop…
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- xix, 94 hlm,: ilus.; 29 cm
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- T404572021
PENERAPAN ALGORITME NAIVE BAYES CLASSIFIERS PADA SISTEM PENDETEKSI BERITA HOA…
Hoax is a recent issues that many people use as political weapons, unrelevant truth, or distributed purposely false news. Along with the growth of technology which is too fast, at this time fake news are very easily spread over through the internet, such as social media. Many cases of deception caused by the news that someone receives are fake news. Researches in this field has so much popped o…
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- xviii, 75 hlm,: lus.; 29 cm
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- T495332021
MENENTUKAN KUALITAS DAN PRODUKSI SAYURAN SEGAR MENGGUNAKAN METODE SMART(SIMPL…
Sayuran merupakan salah satu kebutuhan penting di Indonesia. Hal ini disebabkan karena peminat akan makanan sehat yang mulai tinggi untuk memenuhi kebutuhannya sehari-hari. Dengan meningkatnya kebutuhan sayur – sayuran proses penentuan kualitas dan produksi masih terhambat karena masih dilakukan secara manual. Oleh karena itu dibuatlah sistem yang dapat membantu seseorang untuk menentukan kua…
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- xv, 71 hlm,: ilus.; 29 cm
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- T401052021
SISTEM REKOMENDASI BUKU MENGGUNAKAN ITEM-BASED CLUSTERING HYBRID METHOD (ICHM)
Buku merupakan salah satu sumber informasi yang mampu membuka wawasan pembaca untuk mengetahui banyak hal. Untuk mendapatkan buku yang sesuai dengan yang diinginkan, diperlukan sebuah sistem yang dapat merekomendasikan buku untuk dibaca selanjutnya. Item-based clustering hybrid method(ICHM) membangun group rating matriks berdasarkan atribut yang dimiliki item rating dan membaginya menjadi beber…
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- xviii, 83 hlm,: ilus.; 29 cm
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- T403592021
PERBANDINGAN ALGORITME K-NEAREST NEIGHBOR DAN FUZZY K- NEAREST NEIGHBOR UNTUK…
Hati merupakan salah satu organ terpenting bagi manusia. Karena hati memiliki tugas utama yaitu menetralkan racun yang masuk ke tubuh baik melalui makanan maupun lingkungan, jika Organ hati rusak maka hal ini dapat mengganggu kemampuan tubuh manusia untuk beraktifitas, Salah satu cara untuk mendiagnosis terkena penyakit hati adalah dengan teknik klasifikasi pada data mining, penelitian ini memb…
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- xiii, 36 hlm,: ilus.; 29 cm
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- T399342021
PEMERIKSAAN PLAGIARISM ARTIKEL ILMIAH BAHASA INDONESIA MENGGUNAKAN METODE JAR…
IN WRITING SCIENTIFIC ARTICLES IT IS ALMOST INEVITABLE TO FIND CHEATING, SUCH AS TAKING OTHER PEOPLE'S IDEAS OR WHAT IS OFTEN CALLED PLAGIARISM. CHECKING PLAGIARISM IN AN ARTICLE IS NOT EASY, BECAUSE THERE ARE SO MANY DATA TO COMPARE. BASED ON THE ABOVE, A SYSTEM IS NEEDED THAT CAN HELP CHECK PLAGIARISM IN INDONESIAN SCIENTIFIC ARTICLES. IN THIS STUDY THE AUTHORS CHOSE THE JARO-WINKLER DISTANCE…
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- xviii, 79 hlm,: ilus.; 29 cm
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- T411452021
PERBANDINGAN RENTANG DATA METRIC PADA ALGORITMA WARD’S TERHADAP DATA CLUSTE…
Clustering is a branch of data mining methodology which objective is to cluster multiple objects to form a group of different clusters, some of the algorithm that have been applied in this methodology is Ward’s. In the application of clustering method, a lot of factor can affect the results of cluster, one of them is distance vector method which might affect the cluster result by a huge margi…
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- xxi, 68 hlm,: ilus.; 29 cm
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- T564622021
PERBANDINGAN CERTAINTY FACTOR (CF) DAN CASE BASED REASONING (CBR) UNTUK MENDI…
Infertility has now become a terrible and serious problem for women. Limited information about infertility suffered by women makes it difficult for them to predict the disease they are suffering from. Therefore we need an expert system that can predict infertility in women. The methods used in this research are Certainty Factor (CF) and Case Based Reasoning (CBR) methods. Certainty Factor (CF) …
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- xix, 128 hlm,: ilus.; 29 cm
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- T568942021
OPTIMASI METODE C4.5 MENGGUNAKAN PARTICLE SWARM OPTIMIZATION UNTUK KLASIFIKAS…
The C4.5 method has weaknesses including problems when the dataset has large dimensions and attributes in the dataset are not all relevant attributes to the classification. These irrelevant attributes affect the accuracy of the C4.5 method. Therefore, optimization is needed to overcome these weaknesses. This study uses particle swarm optimization (PSO) to optimize the C4.5 method used for attri…
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- xv, 81 hlm,: ilus.; 29 cm
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- T541532021
SISTEM PENGAMANAN PESAN MENGGUNAKAN KRIPTOGRAFI AES DAN DIGITAL SIGNATURE RSA…
A chat message has high privacy and there are still many chat applications that do not provide security so the messages can be intercepted and known by unwanted people. AES cryptography has generally been implemented in most chat messenger applications. However, with cases of eavesdropping and fraud still rampant, it is necessary to improve message security schemes that can strengthen the secur…
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- xiii, 75 hlm,: ilus.; 29 cm
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- T537432021
PERBANDINGAN WAKTU PADA KEAMANAN UNIFORM RESOURCE LOCATOR (URL) WEBSITE DARI …
Website is frequently used as media to share information regarding image, text, voice and video. As for the widespread use of website that accessable publicly, it can cause several criminal acts such as stealing important information to data manipulation. SQL Injection is one of the attack often used by that irresponsible people. To prevent the attack of SQL Injection we need to encode the URLâ…
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- xvii, 65 hlm,: ilus.; 29 cm
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- T464952021
PERBANDINGAN METODE NAIVE BAYES DAN K-NEAREST NEIGHBOR UNTUK KLASIFIKASI KELU…
Student graduation is one of the areas included in the Internal Quality Assurance Standards (SPMI) of a university. Factors that can influence student graduation include the Semester Achievement Index (IPS) score, GPA, and Graduation Status. One of the methods that can be used to perform classfication is the Naive Bayes and K-Nearest Neighbor methods. The results obtained in the Naive Bayes met…
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- xvii, 58 hlm,: ilus.; 29 cm
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- T466152021
SISTEM PAKAR DIAGNOSIS EDENTULOUS MENGGUNAKAN FORWARD CHAINING
Kehilangan gigi merupakan masalah kesehatan gigi dan mulut yang sering terjadi di masyarakat, salah satunya Edentulous yang merupakan suatu keadaan lepasnya satu atau lebih gigi dari tempatnya. Kehilangan tersebut dapat disebabkan oleh karies, penyakit periodontal, trauma dan atrisi yang berat. Penelitian yang menggunakan metode Forward Chaining ini bertujuan untuk mendapatkan diagnosis Edentul…
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- xvi, 68 hlm,: ilus.; 29 cm
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- T487912021
PENGARUH JUMLAH HIDDEN LAYER DIDALAM ARSITEKTUR BACKPROPAGATION PADA ALGORITM…
The Backpropagation algorithm has a weakness in processing data directly from the experience of experts without knowing the tendency to enter the target. Fuzzy Logic is the right choice in overcoming this, because the function of fuzzy logic is to create a degree of membership where the value of a higher degree of membership in a target can indicate that the data will enter the target. The effe…
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- xvii, 127 hlm,: ilus.; 29 cm
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- T509272021
PREDIKSI PERMINTAAN MATA KULIAH PADA SEMESTER ANTARA MENGGUNAKAN ALGORITMA AP…
Every year there are many students who want to take short semesters but cant take the courses they want due to majors that do not open these courses. Prediction of course demand is the use of programming technology to find out which courses have a lot of interest in the next semester. The a priori algorithm was chosen to predict course demand because of the method's ability to find final result…
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- xi, 62 hlm,: ilus.; 29 cm
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- T515582021
DIAGNOSA JENIS PENYAKIT HEPATITIS MENGGUNAKAN METODE NAIVE BAYES
Hepatitis is a disease that attacks the liver which can be caused by viral infection or can also be caused by other diseases or other conditions, under certain conditions hepatitis can cause complications if not immediately checked and treated. Diagnosing hepatitis is not an easy thing for the general public. In this case the expert system can help deal with the problem by building a system tha…
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- xvii, 112 hlm,: ilus.; 29 cm
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- T540572021
PENGENALAN TULISAN HIRAGANA MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK
In the last few decades the Convolutional Neural Network has had outstanding results in various fields related to pattern recognition, one of which is the recognition of Hiragana's writing. For foreigners, hiragana characters are difficult to understand because they have similar characteristics. This study aims to develop software that can recognize hiragana writing using the Convolutioanal Neu…
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- xx, 82 hlm,: ilus.; 29 cm
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- T558652021
KLASIFIKASI EMOSI PADA TEKS BAHASA INDONESIA MENGGUNAKAN K - NEAREST NEIGHBOR
As social beings, humans can communicate in two ways, namely verbal and non-verbal. One way of non-verbal communication is to use text. However, communication using text cannot show one's emotions. Therefore, it is necessary to classify texts in Indonesian. The first step in classifying text is to preprocess the data which consists of casefolding, tokenizing, filtering, stemming, then weighting…
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- xv, 65 hlm,: ilus.; 29 cm
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- T543412021
DIAGNOSA PENYAKIT TANAMAN KARET MENGGUNAKAN METODE CASED BASE REASONING DENGA…
Rubber plant farmers often suffer damage asa result of maladies that attack rubber plants, the limitations of one expert on information and counseling about solving problems that farmers experience. This requires a system that has the same abilities as one expert at diagnosing rubber plant disease. One is the expert system. Systems of experts require methods used to support the system's passing…
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- xiv, 49 hlm,: ilus.; 29 cm
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- T507672021
OPTIMASI FUZZY TIME SERIES MENGGUNAKAN PARTICLE SWARM OPTIMIZATION PADA PERAM…
Palm oil is a reliable vegetable oil producer because the oil produced has advantages than oils from other plants. The amount of Fresh Fruit Bunches (FFB) raw material from Palm oil has a significant impact on the palm oil production process. Therefore, we need a method to forecasting the amount of palm oil (FFB). One of the suitable forecasting methods is fuzzy time series (FTS). However, FTS …
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- xvii, 62 hlm,: ilus.; 29 cm
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- T502692021
ANALISIS KARAKTERISTIK TANAMAN SANSEVIERA DALAM MELAKUKAN PENYERAPAN GAS BERA…
Indoor air quality needs special attention because it is very influential on human health. One way that can be done is to keep the indoor air quality clean by utilizing sansevieria trifasciata plants. This study aims to detect air pollution levels in a closed room containing the Sansevieria Trifasciata plant The results showed that sansevieria plants could absorb CO gas perfectly compared to iv…
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- xiv, 61 hlm,: ilus.; 29 cm
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- T532962021
KLASIFIKASI INTENT PADA CHATBOT TERAPI MENGGUNAKAN MULTINOMIAL NAIVE BAYES DA…
Chatbot is a program that designed to be able to interact with humans through messages or voice. The chatbot will identify the intent that will understand and recognize the statements that the user enters into the chatbot. However, the problem that often arises in chatbots is that sometimes chatbots respond to inappropriate dialogue interactions. Therefore, the classification of intents is one …
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- xii, 85 hlm,: ilus.; 29 cm
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- T541132021
SISTEM PAKAR DIAGNOSA PENYAKIT PADA BALITA MENGGUNAKAN METODE DEMPSTER SHAFER
Children, especially toddlers at the age of two months to five years old are more susceptible to disease. Limited information about diseases that attack children makes it difficult for parents to predict the disease that will suffer from their children. Therefore we need an expert system that can predict the disease suffered by children, and the method used in this study is the Dempster Shafer …
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- xix, 77 hlm,: ilus.; 29 cm
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- T562682021
KLASIFIKASI PENYAKIT JANTUNG MENGGUNAKAN METODE RANDOM FOREST
Heart disease has modifiable risk factors. Many people have a heart attack without any prior symptoms. Over the past 50 years, more and more people are getting coronary heart disease, and some of the main causative factors have been identified. Previously, heart disease was predicted to be 30% of the causes of death in humans. WHO estimates that in 2005, deaths caused by heart disease in humans…
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- xiii, 105 hlm,: ilus.; 29 cm
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- T545852021
PREDIKSI KANKER PAYUDARA DENGAN NAIVE BAYES
In 2018 WHO stated that the number of cancer cases and deaths was 18.1 million and 9.6 million deaths, and breast cancer is the 2 largest contributor to the number of cancer in the world. In this research using the Naïve Bayes method because there are advantages, namely considering the assumption of independent variables, where the Naïve Bayes classification assumes that the value of the vari…
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- xv, 68 hlm ,; ilus.: 29 cm
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- T478102021
KLASIFIKASI PENYAKIT KANKER PAYUDARA MENGGUNAKAN METODE NAIVE BAYES DENGAN PE…
Naive Bayes is a classification method that has a good speed processing in process breast cancer classification. But, Naive Bayes method has weaknesses in attributes weighting which assumes that all attribute have the same weight or priority. Absolutely, this has an effect on the value of accuracy produced. Therefore, Particle Swarm Optimization method is used which can give weight value to att…
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- xvi, 93 hlm,: ilus.; 29 cm
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- T511282021
OPTIMASI ALGORITMA K-MEANS PADA PENGELOMPOKAN DATA MENGGUNAKAN ALGORITMA ARTI…
Grouping or clustering is the process of classifying objects. This information is obtained from data that describes the relationship between objects by using the principle of maximizing similarities between members of one class and creating similarities between classes. One of the grouping methods is the K-Means algorithm. In general, the K-Means algorithm determines the centroid value randomly…
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- xvii, 53 hlm,: ilus.; 29 cm
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- T519442021
KLASIFIKASI PENYAKIT HEPATITIS MENGGUNAKAN METODE LEARNING VECTOR QUANTIZATIO…
The Learning Vector Quantization (LVQ) method is a classification method that is quite effective and widely used. However, this method has a weakness, namely, each attribute needs to be calculated distance, and the resulting accuracy depends on the initialization of the model, input parameters, and the amount of training data. This affects the resulting accuracy value. Therefore, it is necessar…
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- xvi, 68 hlm,: ilus.; 29 cm
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- T527842021
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