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Found 153 from your keywords: subject="Sistem Pakar"
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IMPLEMENTASI SISTEM KEGAGALAN FUNGSI LAYANAN PERMINTAAN CLIENT WEB SERVER MEN…
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Ananda, Dea

With the increasingly rapid development of technology, internet needs that affect website visitors are increasing and can cause web server malfunctions. therefore a monitoring system is needed to monitor the web server when it experiences problems, configure the server and implement the source code to connect the web server so that failure notifications appear on the instant messaging bot, as w…

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xvii, 37 hlm,; Ilus.; 29cm
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T1286132023
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SISTEM KENDALI OTOMATIS PENGATURAN NILAI TDS TANAH PADA BUDIDAYA TANAMAN KAIL…
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Novelia, Yorinanda

The kailan plant has a fairly high selling power, therefore it is necessary to increase production in the cultivation of kailan plants to support market needs The alternative that can be done to increase the productivity of kailan plants is to control the TDS value in the soil. TDS value needs to be controlled to measure water quality in the soil as a natural medium for kailan plant growth. Ard…

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xiv, 51 hlm,; Ilus.; 29cm
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Call Number
T1269172023
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PREDIKSI TREND PERUBAHAN HARGA PADA SAHAM-SAHAM SYARIAH BURSA EFEK INDONESIA …
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Alkautsar, Muhammad Zufar

Stocks have high risks. Due to the high risks of stocks, investors can perform technical analysis before making decisions in buying and selling stocks. Technical analysis is done by using technical indicators, such as Moving Average Convergence Divergence (MACD), Exponential Moving Average (EMA), and Relative Strength Index (RSI). Machine learning methods can be used to perform technical analys…

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xxi, 133 hlm.; Ilus.; 29 cm
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T1264852023
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PENERAPAN KNOWLEDGE MANAGEMENT SYSTEM MENGGUNAKAN METODE KNOWLEDGE MANAGEMENT…
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Pratiwi, Dicha

Knowledge is one of the non-physical assets that can be a strength for companies to increase efforts to achieve goals. The Trade Office of Muara Enim Regency or abbreviated as Disdag has knowledge assets in the form of explicit and tacit knowledge that exist in each individual in it, but the Ministry of Trade doesn yet have a system that can keep and manage this knowledge, so the process of tra…

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xiv, 72 hlm.; Ilus.; 29 cm
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Call Number
T768362022
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SISTEM PENDUKUNG KEPUTUSAN PENYELEKSISAN PENERIMA PINJAMAN DENGAN MENGGUNAKAN…
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Simanjuntak, Neta Fransisca

Koperasi Kredit Rukun Palembang adalah koperasi yang bergerak dibidang simpan pinjam. Selama ini, sistem transaksi simpan pinjam masih menggunakan cara manual dalam prosesnya. Koperasi memberikan pinjaman dengan ketentuan kriteria-kriteria, dimana proses penilaian kriteria masih dilakukan secara manual, dalam penentuan pemberian pinjaman masih dilakukan dengan banyak berkas secara manual, apabi…

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xiv, 56 hlm.; Ilus.; 29 cm
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T1277332023
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SISTEM MONITORING DETAK JANTUNG DAN SUHU TUBUH BERBASIS IOT (INTERNET OF THINGS)
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Anggraini, Nadise Aurelia Putri Ayu

Detak jantung (bpm) dan suhu tubuh adalah dua hal yang diukur oleh para ahli medis untuk mengetahui kondisi kesehatan mental dan fisik seseorang dalam aspek medis. Saat ini pemeriksaan kondisi kesehatan masih banyak dilakukan secara manual yang mana kurang praktis dan efisien.Oleh karena itu, dengan dibuatnya projek ini diharapkan akan mudah untuk memantau kondisi kesehatan dari jarak jauh. Sen…

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xiv, 44 hlm.; Ilus.; 29 cm
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Call Number
T1048662023
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SISTEM PAKAR PREDIKSI KERUSAKAN PADA SMARTPHONE DENGAN MENGGUNAKAN METODE CAS…
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Fahlephi, Valiant Reza

The use of smartphones from year to year is always increasing, with increasing use, the damage to smartphones also increases. The reason is that not all smartphone users are sensitive about damage to smartphones, most of them only realize that the smartphone has suffered very heavy damage, and when it comes to the technician it takes time to identify the damage to the smartphone, an expert syst…

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xv, 106 hlm.; ilus.; 29 cm
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Call Number
T864522022
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SISTEM PAKAR PENYAKIT LAMBUNG (DIGESTIVE) MENGGUNAKAN METODE CASE BASED REASO…
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Alfarid, Muhammad Sultan

Stomach disease is a disease that can not be underestimated because the stomach is one of the vital organs where it can cause other diseases to occur and can lead to death if not treated immediately. The availability of medical services are decreasing in remote areas, this makes it difficult for people to find an expert to diagnose certain diseases especially stomach disease. There is a higher …

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xvii, 90 hlm.; Ilus.; 29 cm
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Call Number
T1271822023
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SISTEM PAKAR DIAGNOSA PENYAKIT GIGI DAN MULUT PADA MANUSIA DENGAN METODE CERT…
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Nisa, Dzakiyyah Khairun

Dental and oral health is very important to maintain because it has a big influence on the overall health of the body. Efforts that can be made to maintain healthy teeth and mouth are to maintain cleanliness and carry out periodic checks. However, there are many obstacles that cause people toignore oral health problems and result in dental and oral disease being included in the list of the top …

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xii, 76 hlm.; Ilus.; 29 cm
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T1034242022
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KLASIFIKASI TINGKAT KEPARAHAN PRA KANKER SERVIKS PADA CITRA VIA MENGGUNAKAN CNN
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Ambarsari, Alya Nur Firjatullah

The aim of this study is to classify cervicalpre cancer images using Convolutional Neural Network (CNN) method. The dataset of cervical precancer images was evaluated using various CNN models that implemented data augmentation of the second type. The research findings indicate that the CervicoNet model with 200 epochs, a learning rate of 10-3, and a batch size of 32 achieved the best accuracy o…

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xiv, 66 hlm.; ilus.; 29 cm
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T1262222023
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SISTEM PAKAR IDENTIFIKASI KERUSAKAN MOBIL MENGGUNAKAN METODE TSUKAMOTO
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Septiawan, Deni

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
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SMART ATTENDANCE SYSTEM MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORKS (CNN)
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Rifki, Muhammad 

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
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DIAGNOSA PENYAKIT MATA MENGGUNAKAN METODE NAIVE BAYES DAN FORWARD CHAINING
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William, Steven

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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Call Number
T905682023
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DETEKSI ABNORMALITAS STRUKTUR JANTUNG ANAK DENGAN METODE MASK REGION CONVOLUT…
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Marsela, Icha Dwi

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
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PENGENALAN EMOSI BERDASARKAN SUARA MENGGUNAKAN METODE SUPPORT VECTOR MACHINE …
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Warman, Ikhsan 

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
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MULTIVARIATE TIME SERIES FORECASTING TANDA VITAL PASIEN UNIT PERAWATAN INTENS…
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Julian, Fernando

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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Call Number
T884582023
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PERBANDINGAN METODE SUPPORT VECTOR MACHINE DAN BACKPROPAGATION NEURAL NETWORK…
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Ikhsan, Zaneva Rahmanda

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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Call Number
T868462023
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PENERAPAN CASE BASED REASONING UNTUK MENDIAGNOSIS PENYAKIT LAMBUNG MENGGUNAKA…
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Nabillah, Zhicma

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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Call Number
T869332023
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PERBANDINGAN METODE CERTAINTY FACTOR DAN METODE DEMPSTER SHAFER PADA DIAGNOSA…
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Saputra, Wahyu Dwi

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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Call Number
T897022023
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HIGH ORDER PADA AUTOMATIC CLUSTERING FUZZY TIME SERIES UNTUK PERAMALAN JAKART…
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Ramadhan, Bayu Catur

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
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PREDIKSI HASIL PANEN KELAPA SAWIT MENGGUNAKAN FUZZY SUGENO KANG
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Nirwoko, Naufal Pratama

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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Call Number
T913102023
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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN STUDIO FOTO PREWEDDING DI KOTA PALEMBANG…
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Abadi, Muhammad Agung Satria

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
Series Title
-
Call Number
T871572023
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PENERAPAN SELF-ATTENTIVE NETWORK PADA PENDETEKSIAN CLICKBAIT DI JUDUL BERITA …
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Oktavian, Tiara

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
Series Title
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Call Number
T868902023
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SELEKSI FITUR UNTUK MENEMUKAN POLA FITUR TERBAIK PADA SISTEM PENDETEKSI SERAN…
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Pratama, Ricky Akbar

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
Series Title
-
Call Number
T909142023
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KLASIFIKASI PENDERITA PENYAKIT DEMAM BERDARAH DENGUE (DBD) DENGAN METODE NAIV…
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Amelia, Suci

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
Series Title
-
Call Number
T859052022
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VISUALISASI POLA SERANGAN BRUTE FORCE DENGAN ALGORITMA SUPPORT VECTOR MACHINE
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Fathoni, Friliandi

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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Call Number
T898912023
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PENERAPAN METODE YOU ONLY LOOK ONCE (YOLOV3) UNTUK MENDETEKSI JUMLAH KENDARAA…
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Anti, Anggita Putri

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
Series Title
-
Call Number
T916382023
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PENERAPAN METODE YOLOv3 UNTUK DETEKSI JUMLAH KENDARAAN BERDASARKAN PANTAUAN C…
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Nadhila, Sri

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
Series Title
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Call Number
T916332023
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PENGENALAN ANGKA PADA CITRA TASBIH DIGITAL MENGGUNAKAN METODE PRINCIPAL COMPO…
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Astuti, Prita Puja

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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-
Call Number
T873882023
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PERBANDINGAN ALGORITMA K-NEAREST NEIGHBOR (kNN) DAN MODIFIED K-NEAREST NEIGHB…
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Erian, Muhammad Khalifah

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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ISBN/ISSN
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Collation
xv, 93 hlm.; ilus.; 29 cm
Series Title
-
Call Number
T879512023
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