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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
SMART ATTENDANCE SYSTEM MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORKS (CNN)
Face clasification using the convolutional neural networks method has become an interesting research topic in recent years. development method using convolutional neural networks and facenet architecture. Research by collecting primary data from direct observation, in completing this research is of course the FaceNet model. The FaceNet model that has been built is based on the configuration tha…
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- xvi, 100 hlm.; ilus.; 29 cm
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- T875952023
DIAGNOSA PENYAKIT MATA MENGGUNAKAN METODE NAIVE BAYES DAN FORWARD CHAINING
Pada penelitian ini digunakan metode Naîve bayes dan Forward Chaining untuk mendiangnosa suatu penyakit mata. Data yang digunakan untuk penelitian terdiri dari 49 gejala dan 15 jenis penyakit mata. Terdapat dua tahapan pada sistem ini, dimana pertama pasien diminta untuk menginputkan gejala — gejala yang dialami dan selanjutnya sistem akan secara otomatis menampilkan hasil diagnosa dari peny…
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- viii, 48 hlm.; ilus.; 29 cm
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- T905682023
DETEKSI ABNORMALITAS STRUKTUR JANTUNG ANAK DENGAN METODE MASK REGION CONVOLUT…
Detecting abnormal heart structures in infant is an important issue in the field of medicine. One method that can be used to detect abnormal heart structures in children is by using the Mask Region Convolutional Neural Network (Mask-RCNN) method. The process of training MRCNN in detecting abnormal heart structures in children can be done by utilizing well-segmented and labeled heart image datas…
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- xiv, 106 hlm.; ilus.; 29 cm
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- T968652023
PENGENALAN EMOSI BERDASARKAN SUARA MENGGUNAKAN METODE SUPPORT VECTOR MACHINE …
Speaking is not only used to convey information but can also show a person's emotional state. Emotion recognition aims to help the machine to recognize emotions based on speech patterns issued by a person. Some of the problems found are how to find effective voice features and build a good model for emotion recognition. This study aims to identify seven types of emotions, namely anger, disgust,…
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- xix, 104 hlm.; ilus.; 29 cm
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- T880942023
MULTIVARIATE TIME SERIES FORECASTING TANDA VITAL PASIEN UNIT PERAWATAN INTENS…
Time series forecasting (TSF) is the task of predicting future values of a particular time sequence. It used in various fields including forecast vital signs data. Vital signs data that are include five parameters; heart rate, blood pressure, oxygen saturation, respiratory rate, and body temperature. Abnormal vital signs help medical practitioners about potential health problems. This research …
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- viii, 64 hlm.; ilus.; 29 cm
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- T884582023
PERBANDINGAN METODE SUPPORT VECTOR MACHINE DAN BACKPROPAGATION NEURAL NETWORK…
Personality Classification based on handwriting images was not easy, because every handwriting has a unique pattern. Unique patterns in handwriting, such as the degree of slope and spacing between letters. This study aims to develop software that can classify personality based on writing using the support vector machine and backpropagation neural network method. This study uses 1,000 data with …
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- xvii, 137 hlm.; ilus.; 29 cm
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- T868462023
PENERAPAN CASE BASED REASONING UNTUK MENDIAGNOSIS PENYAKIT LAMBUNG MENGGUNAKA…
Common gastric diseases are ulcers (gastritis), dyspepsia, GERD, stomach cancer, and peptic ulcers. Based on WHO data from the 8 countries surveyed, Indonesia is ranked 4th with a percentage of 40.85% for the incidence rate of stomach disease. The high incidence of gastric disease has resulted in an overcrowding of patients and a limited number of doctors to treat them. This research was develo…
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- xvi, 75 hlm.; ilus.; 29 cm
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- T869332023
PERBANDINGAN METODE CERTAINTY FACTOR DAN METODE DEMPSTER SHAFER PADA DIAGNOSA…
Sistem pakar digunakan untuk menirukan penalaran seorang pakar agar komputer dapat menyelesaikan masalah. Beberapa metode yang dapat digunakan seperti Certainty Factor dan Dempster Shafer. Certainty Factor merupakan tahapan atau solusi yang ditetapkan dalam memecahkan suatu permasalahan dalam tingkat kepastian pada Sistem Pakar. Certainty Factor digunakan untuk mencari hasil diagnosa dari penya…
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- xxii, 123 hlm.; ilus.; 29 cm
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- T897022023
HIGH ORDER PADA AUTOMATIC CLUSTERING FUZZY TIME SERIES UNTUK PERAMALAN JAKART…
Saham adalah salah satu jenis investasi populer di era ini yang menawarkan keuntungan tinggi dengan resiko yang tinggi juga. Salah satu cara untuk meminimalkan kerugian saat investasi adalah melihat perkembangan indeks harga saham. Salah satu indeks harga saham yang tercatat di Bursa Efek Indonesia (BEI) adalah Jakarta Stock Exchange (JKSE). JKSE atau sering disebut indeks harga saham gabungan …
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- xvi, 50 hlm.; ilus.; 29 cm
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- T970622023
PREDIKSI HASIL PANEN KELAPA SAWIT MENGGUNAKAN FUZZY SUGENO KANG
Palm oil plantation plantations in South Sumatra according to Central Vertical Service (BPS, 2021) data decreased by 3,062 tonnes by 2021, down from 2018. Yield is influenced by several factors, such as: environmental influences, culture medium, quality, severe technical culture violations (Yanto et al., 2019). This study aims to make it easier to prepare for the optimization of total oil yield…
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- xiv, 72 hlm.; ilus.; 29 cm
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- T913102023
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN STUDIO FOTO PREWEDDING DI KOTA PALEMBANG…
Photo studio is a company engaged in the field of photography and video recording services. Lack of information about pre-wedding photo studios in Palembang City is one of the reasons why many pre-wedding photo studios in Palembang are rarely visited by new customers. Another problem also arises because there are more and more pre-wedding photo studios in the city of Palembang, so that customer…
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- xv, 68 hlm.; ilus.; 29 cm
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- T871572023
PENERAPAN SELF-ATTENTIVE NETWORK PADA PENDETEKSIAN CLICKBAIT DI JUDUL BERITA …
Clickbait is a term that describes a title with the aim of attracting the reader's interest by using flashy and provocative word choices. The problem faced if clickbait detection is done manually is that it takes a long time to be done, because it has to compare the content of the news by reading a whole news for each news title. This study intends to developed software that can detect whether …
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- xvi, 105 hlm.; ilus.; 29 cm
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- T868902023
SELEKSI FITUR UNTUK MENEMUKAN POLA FITUR TERBAIK PADA SISTEM PENDETEKSI SERAN…
DDoS attacks are one of the main threats to security issues on the internet today which have quite a severe impact. As for knowing the best DDoS attack detection, this study applies several selection features to find the best feature pattern in detecting DDoS attacks using the K-Nearest Neighbor method. In the application of selection using several selection features, namely Random Forest Class…
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- xii, 108 hlm.; ilus.; 29 cm
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- T909142023
KLASIFIKASI PENDERITA PENYAKIT DEMAM BERDARAH DENGUE (DBD) DENGAN METODE NAIV…
Dengue Hemorrhagic Fever (DHF) is a disease caused by infected mosquitoes, especially Aedes albopictus and Aedes aegypti mosquitoes. Dengue hemorrhagic fever is included in the category of dangerous diseases that can cause death. The length of time to know the results of the diagnosis of the disease is an obstacle for sufferers of dengue hemorrhagic fever to be given further treatment. This res…
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- xvi, 63 hlm.; ilus.; 29 cm
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- T859052022
VISUALISASI POLA SERANGAN BRUTE FORCE DENGAN ALGORITMA SUPPORT VECTOR MACHINE
Brute force is one of many attacks that are often used by hackers in carrying out the cyber crimes. For recognizing the attack patterns visualization is carried out, so that in presenting this research, looking for attack patterns using parallel coordinates and support vector machines as the classification. In this study, the SVM classification uses several kernels which later will be compared …
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- xi, 78 hlm.; ilus.; 29 cm
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- T898912023
PENERAPAN METODE YOU ONLY LOOK ONCE (YOLOV3) UNTUK MENDETEKSI JUMLAH KENDARAA…
Congestion is a problem that often occurs in big cities caused by the increasing number of vehicles each year without being accompanied by the expansion of highways. There are 3 methods proposed, namely the You Only Look Once version 3 (YOLOv3) method, the Fuzzy Mamdani method, and the Genetic Algorithm. There are 2 types of datasets used, namely photo datasets for the modeling process and CCTV…
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- xvi, 66 hlm.; ilus.; 29 cm
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- T916382023
PENERAPAN METODE YOLOv3 UNTUK DETEKSI JUMLAH KENDARAAN BERDASARKAN PANTAUAN C…
Kemacetan lalu lintas masih menjadi permasalahan yang sering dihadapi masyarakat di kota Palembang hingga saat ini masih kesulitan dalam melakukan mobilitas untuk mendukung aktivitas sehari-hari. Dengan memanfaatkan kemajuan teknologi terkini seperti metode berbasis image yang memanfaatkan sensor kamera CCTV lalu lintas untuk mengawasi beberapa jalan raya secara beriringan agar lebih optimal da…
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- xv, 52 hlm.; ilus.; 29 cm
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- T916332023
PENGENALAN ANGKA PADA CITRA TASBIH DIGITAL MENGGUNAKAN METODE PRINCIPAL COMPO…
The process of recognizing numbers in digital prayer beads requires an appropriate method for recognizing numbers. The challenge that arises in the prayer beads image is to have a small image display, and the numbers on the digital prayer beads image only display vertical and horizontal lines. This challenge can be a complex problem because the image has a variety of backgrounds and lighting. T…
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- xviii, 145 hlm.; ilus.; 29 cm
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- T873882023
PERBANDINGAN ALGORITMA K-NEAREST NEIGHBOR (kNN) DAN MODIFIED K-NEAREST NEIGHB…
Algoritma k-Nearest Neighbor (kNN) merupakan algoritma yang paling sederhana diantara algoritma machine learning namun algoritma kNN memiliki kelemahan seperti nilai k yang bias mudah terkecoh dengan label yang tidak penting yang membuat akurasi kNN tidak maksimal. Algoritma Modified k-Nearest Neighbor (MkNN) dapat mengatasi kelemahan kNN dengan menambahkan validasi dan pembobotan pada sampel l…
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- xv, 93 hlm.; ilus.; 29 cm
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- T879512023
PENGOPTIMALAN LONG SHORT-TERM MEMORY (LSTM) DENGAN AUTOENCODER UNTUK MENDETEK…
Botnet is a group of programs that have been infected by malware and connected to the internet network that has been controlled by certain parties. Using Long Short-Term Memory (LSTM) can help detect botnet attack data. LSTM, can return better accuracy or better Confusion Matrix. Before entering the detection process, the data first goes through the autoencoder process. The Autoencoder process …
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- xv, 79 hlm.; ilus.; 29 cm
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- T879292023
ADDITIVE ANGULAR MARGIN LOSS UNTUK PENGENALAN CITRA WAJAH BERMASKER
Pemakaian masker wajah yang diberlakukan saat Pandemi Covid-19 menyebabkan oklusi parsial pada fitur-fitur wajah. Hal ini berakibat identitas seseorang sulit dikenali oleh sistem pengenalan. Penelitian ini akan melakukan pengenalan wajah bermasker menggunakan Convolutional Neural Network (CNN) dan additive angular margin loss. Additive angular margin loss digunakan untuk mendapatkan fitur yang …
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- xxiii, 62 hlm.; ilus.; 29 cm
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- T879592023
OPTIMASI PARAMETER LVQ MENGGUNAKAN ALGORITMA PSO UNTUK KLASIFIKASI PENYAKIT D…
Classification of diabetes data can be implemented using several different methods, one of which is Learning Vector Quantization. Nevertheless, the output obtained from this method could not always achieve the optimal results, because Learning Vector Quantization classification process relies on the weight values being used for the system. Therefore, modification was made to further enhance Lea…
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- xxi, 117 hlm.; ilus.; 29 cm
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- T1184532023
OPTIMALISASI ALGORITMA LSTM PADA SISTEM PENDETEKSI SERANGAN BRUTEFORCE MENGGU…
Bruteforce attack is a form of attack to be able to enter network services by making various pairs of usernames and passwords illegally. To avoid this attack you can use different character combinations such as alphabetic, alphanumeric, and alphanumeric with symbols. In an effort to protect network security systems against Bruteforce attacks, an attack detection system such as an Intrusion Dete…
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- xvi, 93 hlm.; ilus.; 29 cm
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- T1141782023
REDUKSI DIMENSI FITUR SERANGAN BRUTEFORCE MENGGUNAKAN METODE AUTOENCODER LSTM…
Bruteforce attack is an attack that uses the trial-error method to obtain user information, especially passwords. To overcome these problems, previous research has applied learning algorithms to cyber attack detection systems and obtained satisfactory results. In the cyber attack approach, there is a misdiagnosis that can arise due to high dimensional data. This study aims to apply the autoenco…
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- xviii, 157 hlm.; ilus.; 29 cm
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- T1141512023
DETEKSI SERANGAN BRUTE FORCE MENGGUNAKAN METODE BIDIRECTIONAL RECURRENT NEURA…
Brute Force Attack is an attack that targets private information such as usernames, passwords, passphrases and other information. Brute force attack sends combinations continuously in the form of different numbers, letters or symbols, until it gets the right combination so that it can access the protected data. Brute force attack tries to break credential information that is valuable for attack…
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- viii, 70 hlm.; ilus.; 29 cm
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- T855962023
CLUSTERING BODYFAT MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING
Clustering is one of several techniques used in data mining, which is to group data based on the degree of similarity. The greater the degree of similarity of the data, it will be placed in the same cluster. One of the clustering techniques is K-Means Clustering. This study aims to determine the best cluster results from bodyfat data used as a reference in providing appropriate services based o…
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- xiv, 74 hlm.; ilus.; 29 cm
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- T899732023
OPTIMASI ALGORITMA RANDOM FOREST MENGGUNAKAN ALGORITMA GENETIKA DALAM PROSES …
Chronic kidney disease is a global public health problem with a high incidence rate. About one-tenth of the world's population suffers from this disease. The high number of sufferers is accompanied by the need for proper diagnosis. Classification is one of the methods that can be used to diagnose chronic kidney disease quickly. And Random Forest is a Classification method that can produce high …
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- xvi, 64 hlm.; ilus.; 29 cm
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- T873632023
SISTEM SMART TRANSPORTATION UNTUK PENENTUAN JALUR TERBAIK DENGAN PERBANDINGAN…
Traffic congestion is currently a major problem in big cities in Indonesia. Therefore, a system for determining the best paths is needed to address traffic congestion issues. This system is part of the concept of smart transportation implemented in smart cities. The use of computer vision techniques has attracted attention for the development of smart transportation in traffic. In this research…
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- xviii, 132 hlm.; ilus.; 29 cm
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- T1230382023
SISTEM PAKAR DIAGNOSA GANGGUAN KECEMASAN MENGGUNAKAN METODE TEOREMA BAYES
Anxiety disorders are mental disorders in which sufferers experience excessive anxiety. Many people don't realize that they may have an anxiety disorder. In this study, an expert system for diagnosing anxiety disorders was built which aims to assist people in diagnosing anxiety disorders and knowing their level of accuracy. The method used in this expert system is to use the Bayes Theorem metho…
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- xvii, 69 hlm.; ilus.; 29 cm
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- T879192023
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