Claim Missing Document
Check
Articles

Found 2 Documents
Search

Meta-Analysis Of Genetic Algorithm Implementation For Optimization Of Artificial Neural Network Methods Komang Nova Artawan; Agus Dharma; I Made Ardi Sudestra
TIERS Information Technology Journal Vol. 4 No. 2 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i2.5515

Abstract

One of artificial intelligence methods, which is artificial neural networks, have been widely used in data analysis to make predictions, forecasting, and data classification. The artificial neural network method has convergence or local minimum problems because it requires randomly generated weight values. There is a lot of research that discusses optimization techniques for initiating this initial weight to solve that problem. In this study, a meta-analysis was carried out regarding the implementation of genetic algorithms for optimization of artificial neural network methods. Based on 10 journals that has reviewed in this study, it was concluded that optimization of the genetic algorithm can increase the output value of the artificial neural network by 3.44%, but this genetic algorithm optimization have no significant effect based on the sig (2-tailed) value is 0.595 and t count value is 0.551 that have been obtained and tested using paired samples t-test method with help of SPSS software.
Rancang Bangun Elektrolit Baterai Menggunakan Cu-Zn dan Air Laut Pantai Kedonganan Anak Agung Gede Indra Pradipta; Wiko Andrian Winanda; Agus Dharma; Putu Ayu Rhamani Suryadhi
VISA: Journal of Vision and Ideas Vol. 6 No. 1 (2026): Journal of Vision and Ideas (VISA)
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesia as a maritime country has great potential in utilizing seawater as a renewable energy source, one of which is through seawater battery technology. This study designed and built a battery with seawater-based electrolyte from Kedonganan Beach and Cu-Zn (copper-zinc) electrode pairs for lighting needs. The battery was assembled in a 50×12×8 cm acrylic container, consisting of 20 cells connected in series to produce a total voltage of ±12 V, with each cell having a voltage of 0.8 V. Each cell contains five pairs of 6×5 cm electrodes spaced 4 mm apart and separated by paper as a separator. The test results showed a no-load voltage of 16.23 V and a voltage with a 5 watt load of 7.7 V with a current of 0.0018 A. At a 10 watt load, a voltage of 7.75 V and a current of 0.0023 A were achieved. The battery capacity reached 34.56 mAh during the 12-hour test. The depth of discharge (DoD) was recorded at 70.56%.