Garuda - Garba Rujukan Digital

PERAMALAN KWH PRODUKSI DAN PREDIKSI BEBAN TERTINGGI (SISTEM JAMALI) MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN BERBASIS PYTHON DI PT.PLN (PERSERO) AREA MALANG Nugroho, Willy Satrio; Santoso, Purnomo Budi; Tama, Ishardita Pambudi
Jurnal Rekayasa dan Manajemen Sistem Industri Vol 5, No 1 (2017)
Publisher : Program Studi Teknik Industri Fakultas Teknik Universitas Brawijaya

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

Jika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui email willy13101307@gmail.com, pbsabn@ub.ac.id, kangdith@ub.ac.id.

Production and marketing process assistance of MSMEs Dedy's Babies Wear Yepy Komaril Sofi'i; Sudarman Sudarman; Rr Heni Hendaryati; Willy Satrio Nugroho
Community Empowerment Vol 8 No 5 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.8477

MSMEs Dedy's Babies Wear, in its production process, still uses conventional sewing machines, and it causes the production of baby hats and shoes to be limited. Within a month, Dedy's Babies Wear MSMEs could only produce 2400 sets of baby hats and shoes with the help of 5 workers. A group of baby hats and shoes sells for IDR 10,000. In addition, the product marketing process is only limited to local coverages. As a result, market demand is unstable every month. This community service program aims to overcome the partners' main problems (the low production capacity and limited marketing process). This program is carried out with the stages of observation, training, and assistance in sewing with overlocking machines, as well as digital product marketing assistance through the e-commerce platform. From the evaluation, the production of MSMEs capacity has doubled. In addition, customer orders through e-commerce have become a potential source of income for partners.

Peningkatan Kapasitas Bahan Pakan Ternak Bebek di UMKM Ternak Bebek Junrejo Batu Jawa Timur: Increasing Feed Capacity in the Junrejo Batu Duck Farming MSME East Java Yepy Komaril Sofi'i; Ali Saifullah; Roro Heni Hendaryati; Sudarman Sudarman; Rusnita Yuliana; Aril Reynaldi; Muhammad Sukroni; Willy Satrio Nugroho
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 8 No. 5 (2023): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v8i5.5152

Partners in this service are MSME Duck Livestock, located in Junrejo, Batu. This partner currently uses conventional methods in carrying out the process of mixing animal feed. Therefore, the purpose of this service is to introduce and implement mechanization in the animal feed mixing process through the use of animal feed mixing machines. The animal feed mixer machine used has a capacity of 10 kg. The motor power used is 0.25 Horsepower (HP). The dimensions of this machine reach 740mm x 310mm x 550mm. This machine is equipped with four straight mixers used in mixing animal feed. Through the evaluation that has been carried out, the use of this animal feed mixing machine is proven to provide significant benefits. Mixing animal feed ingredients, which previously required quite a long time, has been shortened to only 3 minutes for every 10 kg of feed ingredients. This increase in efficiency is significant for MSME Duck Animal Feed. With the animal feed mixing machine, our partners can increase productivity and efficiency in their business. In addition, this machine also helps improve the consistency and quality of mixing feed, thereby positively impacting the growth and health of the ducks they care for. Overall, using animal feed mixing machines in this service has a significant positive impact on MSMEs of Duck Animal Feed. By increasing the productivity, efficiency, and quality of mixing animal feed, it is hoped that our partners can sustainably develop their businesses and increase their income.

OPTIMIZATION OF FLEET UTILIZATION AND WAITING TIME IN SUPPLY CHAIN AGENT-BASED SIMULATION USING REINFORCEMENT LEARNING Tama, Ishardita Pambudi; Sujarwo, Sujarwo; Hardiningtyas, Dewi; Nugroho, Willy Satrio
JEMIS (Journal of Engineering & Management in Industrial System) Vol 12, No 1 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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

Inventory to transport transition was a critical operation that requires high efficiency in manufacturing. This study models the inventory transition of manufacturing plants in a supply chain network. The objective was to configure the minimum fleet utilization with fastest waiting time. The configuration was performed using reinforcement learning assisted agent-based model (ABM) simulation. The ABM with fleet speed control have the best performance with average waiting time of 5.84 hours with lowest fleet utilization which surpasses other models. Lower fleet and waiting time provide rest periods for the driver. Therefore, performing speed control during transport improves human factor of the supply chain operation.

PENINGKATAN PRODUKSI BAHAN BAKAR HIDROGEN DENGAN BANTUAN NATURAL SURFACTANT PADA PROSES WATER SPLIT Purnami, Purnami; Dewi, Fransisca Gayuh Utami; Wardana, ING; Sasongko, Mega Nur; Yusuf, M Umar; Nugroho, Willy Satrio
Jurnal Rekayasa Mesin Vol. 15 No. 1 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i1.1413

Hydrogen is an alternative fuel due to its environmental friendliness and abundance. Hydrogen can be produced through water-splitting technique, in which the Oxygen (O2) and Hydrogen (H2) are separated. Water electrolysis is one of many causes of water-splitting that effectively results H2 with high purity. One drawback of electrolysis is the low efficiency. In this study, a rice straw natural surfactant was utilized to improve the efficiency. Rice straw with the volume of 5 ml, 10 ml, dan 15 ml were added to the electrolyte solution. This study shows the rice straw based natural surfactant contains hydrophilic and hydrophobic sides. Both sides capable to reduce the surface tension of the solution which destabilizes water molecules. The aromatic magnetic field of rice straw surfactant homogenizes the water net dipole moment due to the diamagnetism of water. These contributes towards the weakened hydrogen bond of the water in the solution. The synergy between hydrophobic and hydrophilic sides is potent to alter hydrogen production rate through intrinsic magnetism.

THE IMPACT OF CHAOTIC FLUX REFLECTION FIELD ON HYDROGEN EVOLUTION REACTION OF WATER ELECTROLYSIS Nugroho, Willy Satrio; Esiliy , Rehab Ragay; Purnami, Purnami; Sofi'i, Yepy Komaril
International Journal of Mechanical Engineering Technologies and Applications Vol. 5 No. 1 (2024)
Publisher : Mechanical Engineering Department, Engineering Faculty, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/MECHTA.2024.005.01.2

Water electrolysis promises the capability to produce green hydrogen in the future. The efficiency and hydrogen evolution reaction rate (HER) of water electrolysis can be improved through magnetic field assisted electrolysis. External magnetic field exposure improves hydrogen production without requiring complex catalyst synthesis technique. The purpose of this study is to introduce chaos into a magnetic field assisted electrolysis system which disturbs the water molecules stability. The chaos effect was triggered by irregular flux reflection technique. The flux reflection was generated using diamagnetic tourmaline stones which sticked all over the electrolyzer wall. Consequently, the rotational speed of DMF does not reduce the effectiveness of chaotic flux. As a result, the hydrogen bond of the water molecules is destabilized irregularly. In conjuction with that, the bonds are unable to be reformed which make the water molecules continuously in movement. The critical effect of chaotic flux is the shear force that experienced by water molecules. The paramagnetic OH- ion movement is also slowed down so that H+ ion and electrons interaction were occurred in less restrictive manner. Hence, the chaotic magnetic field able to improve HER. The chaotic flux reflection improves hydrogen production in magnetic field assisted water electrolysis through water properties and ion transfer mechanism modification.

THERMAL SIMULATION OF THE CZOCHRALSKI PROCESS FOR SILICON CRYSTAL GROWTH USING FINITE ELEMENT MODELING APPROACH Nugroho, Willy Satrio; Alamsyah, Fikrul Akbar; Chanampa, Carlos Nicolas Quispe
International Journal of Mechanical Engineering Technologies and Applications Vol. 5 No. 2 (2024)
Publisher : Mechanical Engineering Department, Engineering Faculty, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/MECHTA.2024.005.02.8

This study investigates the thermal dynamics of the Czochralski (CZ) process for silicon crystal growth through numerical simulations. The simulation method of this study is based on finite element method (FEM) heat transfer simulation. The FEM simulation was performed using triangular mesh in half cross section of CZ system with real material properties. The analysis of heat transfer mechanisms includes conduction, convection, and radiation which reflect the impact of cooled argon convection on crystal growth. The simulations reveal that convection currents driven by cooled argon has a crucial role to promote uniform cooling which control crystal growth. This leads to enhanced mono-crystalline silicon ingot crystal quality and purity. Ultimately, insights gained from this study can inform optimization efforts in semiconductor manufacturing, facilitating advancements in electronic device fabrication.

THE PREDICTION OF HYDROGEN EVOLUTION REACTION FROM DYNAMIC MAGNETIC FIELD ASSISTED WATER ELECTROLYSIS ARTIFICIAL NEURAL NETWORK Nugroho, Willy Satrio; Purnami, Purnami; Schulze, Ajani Aiman; Anggara, Teuku; Schulze, Klauss
International Journal of Mechanical Engineering Technologies and Applications Vol. 6 No. 1 (2025)
Publisher : Mechanical Engineering Department, Engineering Faculty, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/MECHTA.2025.006.01.1

This study explores the prediction of Hydrogen Evolution Reaction (HER) performance in Dynamic Magnetic Field (DMF) assisted water electrolysis using Artificial Neural Networks (ANN). The integration of ANN models with experimental data from DMF-assisted electrolysis provides valuable insights into the complex interplay between magnetic fields and electrochemical processes. The results show significant enhancements in HER rates compared to conventional electrolysis, with static magnetic fields also contributing to performance improvements. The ANN models developed exhibit high accuracy in predicting HER performance under varying DMF rotational speeds, as evidenced by low Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and high R-squared values, demonstrating their strong predictive power and reliability. However, caution is advised regarding overfitting, and future research should focus on incorporating techniques like regularization and cross-validation to enhance model generalization. This study lays the foundation for further optimization of efficient hydrogen production technologies in the context of sustainable energy solutions.

Peningkatan Daya Saing UMKM Mimi Roti melalui Penerapan Teknologi Pengemasan dan Pemasaran Digital: Increasing the Competitiveness of Mimi Roti MSMEs through the Application of Digital Marketing and Packaging Technology Sofi’i, Yepy Komaril; Sudarman, Sudarman; Nugroho, Willy Satrio
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 9 No. 5 (2024): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v9i5.6665

This time, the community service program partner is Mimi Roti Micro, Small and Medium Enterprises (MSMEs) in Watugede, Singosari, Malang Regency. Founded in 1999, Mimi Roti MSME has experienced rapid development by reaching a production capacity of 100 donuts and burgers per day. However, Mrs. Alfiyah, as the owner of UMKM Mimi Roti, experienced significant obstacles in terms of product packaging. Using simple plastic clips causes the bread's shelf life to be only three days, limiting the growth potential and competitiveness of Mimi Roti MSMEs in the market. This service activity aims to help Mimi Roti MSMEs overcome packaging problems and increase their competitiveness in the market. To overcome this problem, the community service team took several steps, namely: analysis of partner needs, research on continuous band sealer (CBS) machines, selection and procurement of CBS machines, packaging redesign, training on using CBS machines, training on digital marketing strategies, monitoring, and evaluation. Applying the CBS machine and packaging redesign increased the shelf life of bread to 7 days, improved the quality and attractiveness of the packaging, and increased sales by up to 20%. Community service activities at MSME Mimi Roti have succeeded in helping MSME Mimi Roti overcome packaging problems, increase competitiveness, and expand its market reach. Implementing better packaging technology, attractive packaging redesign, and effective digital marketing strategies have proven to positively impact product quality, sales, and profits of Mimi Roti MSMEs.

THE PREDICTION OF HYDROGEN EVOLUTION REACTION FROM DYNAMIC MAGNETIC FIELD ASSISTED WATER ELECTROLYSIS ARTIFICIAL NEURAL NETWORK Nugroho, Willy Satrio; Purnami, Purnami; Schulze, Ajani Aiman; Anggara, Teuku; Schulze, Klauss
International Journal of Mechanical Engineering Technologies and Applications Vol. 6 No. 1 (2025)
Publisher : Mechanical Engineering Department, Engineering Faculty, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/MECHTA.2025.006.01.1

This study explores the prediction of Hydrogen Evolution Reaction (HER) performance in Dynamic Magnetic Field (DMF) assisted water electrolysis using Artificial Neural Networks (ANN). The integration of ANN models with experimental data from DMF-assisted electrolysis provides valuable insights into the complex interplay between magnetic fields and electrochemical processes. The results show significant enhancements in HER rates compared to conventional electrolysis, with static magnetic fields also contributing to performance improvements. The ANN models developed exhibit high accuracy in predicting HER performance under varying DMF rotational speeds, as evidenced by low Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and high R-squared values, demonstrating their strong predictive power and reliability. However, caution is advised regarding overfitting, and future research should focus on incorporating techniques like regularization and cross-validation to enhance model generalization. This study lays the foundation for further optimization of efficient hydrogen production technologies in the context of sustainable energy solutions.

Title

Found 12 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 12 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 12 Documents
Search