Amanda Najwa Perak Azizah, . (2025) MENGUKUR EFEKTIVITAS JARINGAN SARAF TIRUAN DALAM MEMODELKAN DINAMIKA SUHU KELUAR PADA SISTEM TRANSFER PANAS REAKTOR NUKLIR. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
![[img]](http://repository.upnvj.ac.id/style/images/fileicons/text.png) |
Text
ABSTRAK.pdf Download (221kB) |
|
Text
AWAL.pdf Download (688kB) |
|
Text
BAB 1.pdf Download (281kB) |
|
Text
BAB 2.pdf Restricted to Repository UPNVJ Only Download (758kB) |
|
Text
BAB 3.pdf Restricted to Repository UPNVJ Only Download (482kB) |
|
Text
BAB 4.pdf Restricted to Repository UPNVJ Only Download (1MB) |
|
Text
BAB 5.pdf Download (258kB) |
|
Text
DAFTAR PUSTAKA.pdf Download (235kB) |
|
Text
LAMPIRAN.pdf Restricted to Repository UPNVJ Only Download (286kB) |
|
Text
RIWAYAT HIDUP.pdf Restricted to Repository UPNVJ Only Download (119kB) |
|
Text
HASIL PLAGIARISME.pdf Restricted to Repository staff only Download (1MB) |
|
Text
JURNAL KI.pdf Restricted to Repository staff only Download (1MB) |
Abstract
Proper temperature control in nuclear reactors is crucial to prevent potentially fatal overheating, considering the hazards it poses to the system and surrounding environment. This research aims to measure the effectiveness of an Artificial Neural Network (ANN) model designed by comparing its predictive results with actual values in the heat transfer system of a nuclear reactor. The industry’s need for a predictive solution that is both simple and accurate is the main reason for selecting ANN in this study. The model is designed to provide accurate temperature predictions temperature control, thereby supporting more effective operational decision-making. The model is built with a simple yet efficient ANN architecture, using input data on inlet temperature and operational time as key factors to improve prediction accuracy. This data is used in the training and testing processes to enhance the model’s precision across various operational conditions. The research results indicate that the model can produce accurate temperature predictions with computational efficiency, making it suitable for application in nuclear industry systems. This study is expected to contribute to the development of effective and adaptive temperature prediction methods to enhance the safety and operational efficiency of nuclear reactors in the future.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No. Panggil: 2110511158] [Pembimbing: Didit Widiyanto] [Penguji 1: Ridwan Raafi’udin] [Penguji 2: Radinal Setyadinsa] |
| Uncontrolled Keywords: | Jaringan Saraf Tiruan (JST), Prediksi Suhu, Reaktor Nuklir, Sistem Transfer Panas. |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | AMANDA NAJWA PERAK AZIZAH |
| Date Deposited: | 20 Aug 2025 12:11 |
| Last Modified: | 20 Aug 2025 12:11 |
| URI: | http://repository.upnvj.ac.id/id/eprint/37430 |
Actions (login required)
 |
View Item |