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All Journal SIGMA TEKNIKA Jurnal Surya Teknika
Wajhi Akramunnas, Bastul
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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PERANCANGAN MESIN ES BALOK BERSUMBER LISTRIK TENAGA MATAHARI DI DESA MUNTAI KABUPATEN BENGKALIS Hasibuan, Fardin; Wajhi Akramunnas, Bastul; Widagdo, Trijaya
SIGMA TEKNIKA Vol 6, No 2 (2023): SIGMATEKNIKA, VOL. 6, N0. 2, November 2023
Publisher : Fakultas Teknik, Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/sigmateknika.v6i2.5591

Abstract

fish is a food necessity as a source of protein for human life. Muntai Village in the Bantan District of Bengkalis Regency, Riau Province, is an area located on the Malacca Strait coast. Most of the village's population work as fishermen, both in saltwater and freshwater fishing. The primary production of fishermen is fish caught from the sea. The production of sea fish catches in the Bantan District in 2021 was 101 tons. Ice blocks are one of the components needed by the fishermen in Muntai Village. The distance from the village to the town, which takes around 1 to 1.5 hours, is a constraint in providing ice blocks for the fishermen in the village. The lack of electricity installation reaching the coastal area where the fishermen dock their boats is also one of the obstacles in providing ice blocks. The plan to create a solar-powered ice block machine is one of the alternative solutions to address the ice block supply issue for the fishermen in Muntai Village. The design of the ice block machine has a capacity of 3 tons per 24 hours with a power requirement of 13 kW and is sourced from solar panels with a specific number of solar cell modules. The investment cost required is Rp 833,051,670.00
Comparison of MDKA Stock Price Prediction using Multi-Layer Perceptron, Long Short-Term Memory, and Gated Recurrent Unit Wajhi Akramunnas, Bastul; Hakim, Legisnal; Marta Putri, Dita; Fahrizal, Fahrizal; Rahmawati, Asde; Purbolingga, Yoan
JURNAL SURYA TEKNIKA Vol. 10 No. 1 (2023): JURNAL SURYA TEKNIKA
Publisher : Fakultas Teknik UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jst.v10i1.5004

Abstract

Shares are rights owned by a person against a company due to the delivery of capital, either in part or in whole. Investors invest in stocks and try to get maximum results, but many investors are still unsure about the risks involved in investing. To minimize risk, investors need to predict stock prices with an accurate method. Several methods that can be implemented to predict stock data include Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU). The research objective to be achieved in this study is to compare the performance of each algorithm in producing a more accurate stock price forecasting model by testing neurons (10, 20, 30) and epochs (50, 75, 100). The research was conducted on the stock price data of PT. Merdeka Copper Gold Tbk (MDKA) which is a mining sector share with the largest capitalization value. Tests on some of the algorithms above got the best results using 82% training data and 18% test data, namely the MLP model with 10 neurons and 100 epochs with a MAPE training data result of 2.325 and a MAPE test data of 2.014. Based on the test results, MLP can predict MDKA stock prices for the 2018-2022 period with good performance and a relatively small error rate, while tests using the LSTM and GRU methods still produce large errors. Thus, it can be concluded that MLP can predict stock prices with more accurate results.
Pengembangan Sensor Elektrokimia Berbasis Material Nano untuk Deteksi Ion Timbal (Pb²⁺) Menggunakan Sistem Elektronika Terintegrasi Rahmawati, Asde; Nurjanah, Siti; Fahrizal, Fahrizal; Marta Putri, Dila; Ikhsan, M; Wajhi Akramunnas, Bastul
JURNAL SURYA TEKNIKA Vol. 12 No. 1 (2025): JURNAL SURYA TEKNIKA
Publisher : Fakultas Teknik UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jst.v12i1.9544

Abstract

Electrochemical sensors are a reliable method for detecting the presence of heavy metal ions such as lead (Pb²⁺) in aquatic environments. In this study, a sensor was developed based on a carbon paste electrode modified with ZnO nanomaterials and polyaniline, and integrated with a data acquisition system using a microcontroller. Voltammetric characterization results showed that the sensor could detect Pb²⁺ with high sensitivity at low concentrations. This system is expected to be applied for real-time and portable water quality monitoring.
Co-Authors Dila Marta Putri Fahrizal Fahrizal Fardin Hasibuan Legisnal Hakim M Ikhsan Marta Putri, Dita Rahmawati, Asde Siti Nurjanah Widagdo, Trijaya Yoan Purbolingga