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Found 153 from your keywords: subject="Sistem Pakar"
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OPTIMASI ALGORITMA NAÏVE BAYES MENGGUNAKAN ANT COLONY OPTIMIZATION UNTUK KLA…
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Minari, Kurnia

Stroke is a dangerous disease that is included in the 10 deadliest diseases in Indonesia, with a very high mortality rate. To detect strokes, CT scans and MRI examinations are usually used. However, this examination is expensive and is often only carried out after someone has had a stroke. As a result, medical treatment can be delayed and the patient's condition can worsen. Therefore, it is ver…

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xviii, 87 hlm.; Ilus.; 29 cm
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T1375572024
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DETEKSI PENYAKIT DIABETIC RETINOPATHY PADA CITRA RETINA MENGGUNAKAN RETINANET…
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Pratama, Muhammad Ziyan

This research aims to develop a method for detecting Diabetic Retinopathy (DR) in retinal images using the RETINANET architecture with a ResNet-50 backbone. DR is a serious complication in individuals with diabetes mellitus, leading to damage to the blood vessels in the retina and, in severe cases, blindness. ResNet (Residual Network) is chosen as the neural network architecture to deepen the m…

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xv, 62 hlm.; Ilus.; 29 cm
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Call Number
T1384972023
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PURWARUPA SISTEM MONITORING PEMBERI PAKAN AYAM PADA KANDANG AYAM PINTAR
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Pratiwi, Aulia Shafa

One of the important things that must be considered when raising chickens is feeding to determine the level of chicken production. Sudden or other activity over a long period of time often disrupts regular feeding. Therefore, a regular monitoring system for feeding is very necessary for breeders at this time. Feeding is carried out twice a day, namely in the morning at 07:00 WIB and in the afte…

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xvi, 58 hlm.; Ilus.; 29 cm
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T1391932023
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 IMPLEMENTASI METODE FORWARD KINEMATIK SEBAGAI SISTEM KENDALI PERGERAKAN LEN…
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Alparisi, Achmad Baidawi 

In research on this project developed a U-Arm model robot with three degrees of freedom using Forward Kinematic calculations. Kinematic Forward is a mathematical calculation process to obtain the angles of the three joints on the robot arm from known (x,y,z) end-effector coordinates and the length of each link. In this robotic arm there are 4 links, with a length of Link1 = 8.2 cm, a length of …

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x, 54 hlm.; Ilus.; 29 cm
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T1392622023
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IMPLEMENTASI PROTOKOL MQTT PADA SISTEM MONITORING KEBUN FASILKOM UNIVERSITAS …
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Aljalil, Achmad Andriansyah

Kemajuan teknologi dapat dirasakan hampir di setiap aspek kehidupan sehari-hari, termasuk juga pada bidang pertanian. Selama ini kondisi perkebunan hanya dipantau secara manual kini dapat dipantau otomatis, sehingga dapat mempermudah dalam pemantauan kondisi kebun. Projek ini mengusulkan suatu sistem pemantauan kondisi kebun dengan menerapkan protokol komunikasi MQTT berbasis smart farming. Mes…

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xiii, 59 hlm.; Ilus.; 29 cm
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T1380482024
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SIMULASI PERGERAKAN BARANG PADA SUPPLY CHAIN MANAGEMENT UNTUK STUDI KASUS SPA…
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Panjaitan, Partogi Saut Martua

Supply Chain Management melibatkan beberapa pihak yang berperan dalam proses pengiriman barang atau jasa sehingga memerlukan transparansi terkait catatan transaksi bagi semua pihak yang terlibat dengan tujuan menghindari pemalsuan data transaksi. Untuk mengatasi masalah ini, penelitian ini bertujuan membangun sistem keamanan menggunakan metode Delegated Proof-of-Stake (DpoS). Kumpulan blok yang…

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xii, 77 hlm.; Ilus.; 29 cm
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T1393552024
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PREDIKSI KEPADATAN KENDARAAN MENGGUNAKAN METODE K-NEAREST NEIGHBORS YANG DIOP…
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Lestari, Dian Yofita

Traffic congestion remains a primary concern in the transportation sector and continues to pose challenges for everyday activities. To address this issue, a system capable of detecting vehicle density levels is required. This research leverages cutting-edge technology, such as image-based methods utilizing CCTV camera sensors to monitor multiple roadways simultaneously, with the hope of making …

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xv, 100 hlm.; Ilus.; 29 cm
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T1388082024
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PURWARUPA DETEKSI KEDATANGAN KERETA API MENGGUNAKAN SENSOR GETAR DAN SENSOR G…
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Sapoetra, Muhammad Adjie

A railway crossing is a crossing where a railway line meets a road, either a highway or other footpath. Many cases of accidents are caused by a lack of guarding and not being equipped with train doorstop facilities, so there is a need for innovation to increase progress, especially the level of safety to prevent accidents. This technology detects the presence of trains at track guard stations (…

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xv, 66 hlm.; Ilus.; 29 cm
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T1375512023
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KRIPTOGRAFI AES DAN AUTENTIKASI HMAC UNTUK SISTEM PENGAMANAN PESAN TEKS BERBA…
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Paradisafa, Agung Dwi

In the rapidly evolving communication era, the security of text messages has become crucial. The use of efficient and secure cryptographic algorithms, considering the limitations of device resources, is an urgent step to protect user information from unauthorized parties. This research focuses on the integration of the AES cryptographic scheme and HMAC authentication. The goal is to effectively…

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xvi, 83 hlm.; Ilus.; 29 cm
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T1373622023
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OPTIMASI FIS TSUKAMOTO DALAM MEMPREDIKSI CURAH HUJAN DI KABUPATEN BANYUASIN M…
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Akbar, Muhammad Rafi

Indonesia, as a tropical climate country with high rainfall, heavily relies on accurate rainfall predictions for various critical purposes, including water resource management and extreme weather impact mitigation. One commonly used method is the Tsukamoto Fuzzy Inference System (FIS). However, implementing the Tsukamoto FIS often leads to high error rates. This is attributed to the difficulty …

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xx, 121 hlm.; Ilus.; 29 cm
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T1371652023
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PENGENALAN WAJAH PADA PLATFORM EMBEDDED MELALUI IDENTIFIKASI MATA DAN HIDUNG …
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Fitriyanto, Megi

Technological advances in the field of Computer Vision are increasingly complex, especially in research and industrial needs. Computer Vision allows computers to process and recognize images with a level of accuracy close to human capabilities. The purpose of this research is to develop a face recognition system that previously ran on a microcomputer, so that it can run on a microcontroller wit…

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xiv, 59 hlm.; Ilus.; 29 cm
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T1390272024
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PENGGUNAAN METODE YOLO UNTUK DETEKSI KENDARAAN DAN PENENTUAN TINGKAT PELANGGA…
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Irawan, Gregorius Jose Mahesa

Wrong-way traffic violation is often committed by the public and frequently leads to traffic accidents and congestion. This research aims to develop a detection system using the You Only Look Once (YOLO) algorithm to identify and count the number of vehicles based on video recordings. Additionally, this study employs the One-Dimensional Convolutional Neural Network (1DCNN) method to determine t…

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xiii, 55 hlm.; Ilus.; 29 cm
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Call Number
T1377632024
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IMPLEMENTASI QUANTUM MACHINE LEARNING DALAM MELAKUKAN DETEKSI SERANGAN DISTRI…
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Saputra, Nauvan Dimas

Ancaman keamanan internet sangatlah rentan terhadap serangan dari pihak manapun, termasuk serangan Distributed Denial-of-Services (DDoS). Serangan DDoS mengirimkan paket secara terus menerus sehingga membanjiri jaringan, server, atapun situs web secara masif, mengakibatkan jaringan tidak bisa diakses oleh pengguna. Dalam mengidentifikasi serangan DDoS terdapat masalah yaitu input data yang sang…

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xiv, 114 hlm.; Ilus.; 29 cm
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Call Number
T1378732024
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MULTI CLASSIFICATION PADA SISTEM PENDETEKSI SERANGAN SIBER MENGGUNAKAN LSTM V…
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Maharani, Revi Aprilia

Long Short Term Memory, metode pendeteksi serangan siber dengan kemampuan memproses urutan data dan mengingat informasi dalam rentang waktu panjang. Namun, LSTM tidak dapat secara efektif mengingat informasi apabila urutan data terlalu panjang atau informasi tersebar pada jarak yang jauh. Oleh karena itu, hadir metode Bidirectional LSTM dan Stacked LSTM. BiLSTM mampu memproses urutan data secar…

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xxii, 222 hlm.; Ilus.; 29 cm
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T1381962024
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SISTEM PERINGATAN PERGERAKAN MAKHLUK HIDUP PADA KEBUN DENGAN NOTIFIKASI BOT T…
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Aqil, Muhamad

Technology that could be useful in maintaining security in plantation areas should be achievable. It should be able to identify objects and movements within the plantation area. With such a system in place, users can take prompt actions to address any issues, enabling researchers to leverage microcontroller technology. One way is by creating a living creature movement warning system in the plan…

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xv, 56 hlm.; Ilus.; 29 cm
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T1416152024
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ANALISIS KOMPARATIF KETEPATAN HASIL DETEKSI KANKER PROSTAT MENGGUNAKAN METODE…
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Aprillia, Retno Tri

Prostate cancer is a malignant disease that typically affects men and occurs in the prostate gland located beneath the bladder. Prostate cancer ranks as the second most common cancer in the United States and was the fifth in Indonesia with 13,563 cases in 2020. While the exact cause remains unknown, early detection of prostate cancer can be achieved through the use of machine learning and data …

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xxi, 75 hlm.; Ilus.; 29 cm
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T1376182024
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KLASIFIKASI ABNORMALITAS STRUKTUR JANTUNG ANAK DAN VISUALISASI MENGGUNAKAN CO…
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Salam, Bayu Izzah

The application of artificial intelligence in these days is so much, it is beginning to enter a wide range of fields in the world, one of which is in the field of biomedicine. CNN uses several layers to help the classification process, especially the one on this study of the child's heart. The child's heart image will be processed into a previously created model that aims to recognize each clas…

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xv, 83 hlm.; Ilus.; 29 cm
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Call Number
T1392842024
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INSTANCE SEGMENTATION PADA MAGNETIC RESONANCE IMAGING TUMOR OTAK MENGGUNAKAN …
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Passa, Rahma Satila

Pencitraan medis, seperti MRI, berperan penting dalam mensegmentasi tumor otak, tetapi banyak tugas yang masih bergantung pada penilaian manual yang memakan waktu. Oleh karena itu, dibutuhkan segmentasi otomatis yang akurat untuk mempercepat diagnosis dan penanganan. Dengan menggunakan model-model terkini, YOLOv7 dan YOLOv8 yang didukung oleh dasar kerja CNN, penelitian dilakukan untuk mensegme…

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xv, 85 hlm.; Ilus.; 29 cm
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Call Number
T1380612024
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IDENTIFIKASI JUMLAH KENDARAAN MENGGUNAKAN YOLO DAN PREDIKSI ARUS LALU LINTAS …
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Prayoga, Ageng

The annual increase in the volume of vehicles, without a corresponding improvement in road infrastructure, has led to detrimental traffic congestion and density. Therefore, this research aims to address this issue by developing a vehicle detection system using the You Only Look Once (YOLO) generation 8 algorithm and DeepSort architecture to count the number of vehicles. In addition to focusing …

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x, 82 hlm.; Ilus.; 29 cm
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Call Number
T1379662024
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IDENTIFIKASI KENDARAAN DENGAN MENGGUNAKAN YOLO DAN UNTUK MENENTUKAN KEPADATAN…
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Almundzir, Khalilurrahman

The increasing volume of vehicles each year results in an escalating daily traffic volume, leading to issues such as congestion and vehicle density that adversely affect various sectors. Therefore, this research aims to develop a vehicle detection system and vehicle count using the You Only Look Once (YOLO) generation 8 algorithm, assisted by the DeepSort architecture, to count the number of ve…

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xiv, 70 hlm.; Ilus.; 29 cm
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Call Number
T1378982024
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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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Call Number
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
Series Title
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Call Number
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
Series Title
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Call Number
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
Series Title
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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
Series Title
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Call Number
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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ISBN/ISSN
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xiv, 66 hlm.; ilus.; 29 cm
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-
Call Number
T1262222023
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