Dampak Reduksi Sampel Menggunakan Principal Component Analysis (PCA) Pada Pelatihan Jaringan Saraf Tiruan Terawasi (Studi Kasus Pengenalan Angka Tulisan Tangan)

Puspitaningrum, Diyah; Sari, Dyan Kemala; Susilo, Boko

doi:10.33369/pseudocode.1.2.83-89

Cited by 5 publications

(5 citation statements)

References 0 publications

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“…A system is a network to perform an activity or to accomplish a particular goal. While the notion of procedure itself, according to Richard F. Neuschel, the procedure of a sequence -clerical operations (writing), usually involves several people within one or more departments, which is applied to ensure uniform handling of the business transactions that occur [6].…”

Section: Understanding Of Information Systemsmentioning

confidence: 99%

Application Design Resume Medical By Using Microsoft Visual Basic.Net 2010 At The Health Center Appointments

Samsir

Harahap

2020

International Journal of Science, Technology & Management

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In implementing health services, puskesmas must document all actions and treatments that are given to patients in a document called Medical Records. According to Minister of Health Regulation No.269 / MENKES / PER / III / 2008 article 1 (1), medical records are files containing notes and documents about patient identities. Medical records are of good quality if the medical record is accurate, complete, trustworthy, valid and timely. One form of management in Medical Records is reporting. According to Minister of Health Regulation No.269 / MENKES / PER / III / 2008 article 1 (1), Medical Record is a file that contains notes and documents about patient identity, examinations, actions, and other services that have been given to patients. In the statement, all information about a patient has been reflected which will be made the basis for determining further actions in services and other medical actions given to a patient who comes to the community health center. The Medical Record is said to be of high quality if the Medical Record is accurate, complete, trustworthy, valid and timely. The Medical Record Installation has activities such as registration, data processing, and storage. One form of processing data in medical records is the existence of assembling activities. Assembling is an assembling activity compiling empty Medical Record forms and storing them into Medical Records, ready to use neatly arranged both in terms of quality and quality.

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Section: Understanding Of Information Systemsmentioning

confidence: 99%

Application Design Resume Medical By Using Microsoft Visual Basic.Net 2010 At The Health Center Appointments

Samsir

Harahap

2020

International Journal of Science, Technology & Management

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“…Secara sederhana, NN adalah sebuah sistem pemodelan data statistik non-linear. NN dapat digunakan untuk memodelkan hubungan yang kompleks antara input dan output untuk menemukan pola-pola pada data [9]. Dalam memodelkan NN terdapat beberapa metode, diantaranya metode back-propagation untuk proses pembelajaran setiap data.…”

Section: B Neural Networkunclassified

Pendeteksi Nominal Uang Kertas bagi Penyandang Tunanetra Menggunakan Neural Network

Kurniawati¹,

Risandriya²,

Wijanarko³

2019

JAEE

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Uang merupakan alat transaksi yang digunakan oleh sebagian besar masyarakat dunia, untuk memenuhi kebutuhan sehari-hari. Bagi sebagian orang, melakukan kegiatan jual beli dengan menggunakan uang sangatlah mudah. Namun tidak dapat dipungkiri bahwa ada sebagian kecil dari masyarakat yang mempunyai kekurangan dalam penglihatan. Kekurangan dalam penglihatan membuat penderitanya lebih mengandalkan indra pendengaran dan perasa, sehingga penyandang Tunanetra mengalami kesulitan dalam mengenali uang. Tulisan ini membahas tentang alat bantu bagi Tunanetra yang dapat membedakan uang kertas berdasarkan warna RGB dengan menggunakan sensor TCS3200 dan memanfaatkan neural network sebagai pola pengenalan dan pembelajaran warna. Dari uji coba, nilai optimum untuk pembelajaran dengan nilai eror terkecil yaitu nilai learning rate 0.8 dan jumlah node masing-masing pada hidden layer 1 dan hidden layer 2 sebanyak 5 node. Hasil yang diperoleh adalah alat yang dapat digunakan Tunanetra dalam membedakan uang kertas, dengan tingkat keberhasilan 100% untuk uang Rp 20.000 dan Rp 100.000, 93% untuk uang Rp 50.000.

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“…Jaringan ini biasanya di implementasikan dengan mengunakan komponenkomponen elektronik atau dapat juga disimulasikan dengan perangkat lunak pada sebuah komputer digital. JST dibentuk sebagai generalisasi model matematika dari jaringan saraf biologi, dengan asumsi bahwa [3]: pemrosesan informasi terjadi pada banyak elemen sederhana (neuron), sinyal dikirimkan diantara neuron-neuron melalui penghubung, penghubung antar neuron memiliki bobot yang akan memperkuat atau memperlemah dan untuk menentukan output, setiap neuron menggunakan fungsi aktivasi yang dikenakan pada jumlahan input yang diterima.…”

Section: Jaringan Saraf Tiruanunclassified

Model Jaringan Saraf Tiruan Untuk Evaluasi Resiko Kredit

Wijaya¹

2018

Computatio

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Credit risk evaluation is an importanttopic in financial risk management and become a major focus in the banking sector. This research discusses a credit risk evaluation system using an artificial neural network model based on backpropagation algorithm. This system is to train and test the neural network to determine the predictive value of credit risk, whether high riskorlow risk. This neural network uses 14 input layers, nine hidden layers and an output layer, and the data used comes from the bank that has branches in EastJakarta. The results showed that neural network can be used effectively in the evaluation of credit risk with accuracy of 88% from 100 test data

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Dampak Reduksi Sampel Menggunakan Principal Component Analysis (PCA) Pada Pelatihan Jaringan Saraf Tiruan Terawasi (Studi Kasus Pengenalan Angka Tulisan Tangan)

Cited by 5 publications

References 0 publications

Application Design Resume Medical By Using Microsoft Visual Basic.Net 2010 At The Health Center Appointments

Application Design Resume Medical By Using Microsoft Visual Basic.Net 2010 At The Health Center Appointments

Pendeteksi Nominal Uang Kertas bagi Penyandang Tunanetra Menggunakan Neural Network

Model Jaringan Saraf Tiruan Untuk Evaluasi Resiko Kredit

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