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Development of Potato Nano Carbon as Electrode for Supercapacitors Achieves Green-Sustainable Development Goals Indri Dayana; Dadan Ramdan; Moranain Mungkin; Habib Satria; Muhammad Fadlan Siregar; Martha Rianna; Juliaster Marbun; Siti Utari Rahayu
Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v6i1.5862

Abstract

The development of potato nanocarbon as an electrode from potatoes for supercapacitors will answer the energy needs that are needed and are continuously researched. This research was conducted in the laboratory by giving marinade treatment to potatoes and measured repeatedly and testing was carried out to determine the extent of the carbon content so that potatoes are very good to be used as electrodes with electroplating method. The results obtained were 0.8 grams of potatoes with a very high conductivity increase to 0.97 m S. The result TEM 160 nm after treatment an average size of 100 nm successfully coated on the surface of the particles. FTIR shows a wavelength of 3282.48 cm due to the width of potato absorption and overlapping with the C-H-O group. AAS shows the adsorption capacity of modified potato on metals occurs in the pH range 4.5-5.5. Analysis of potatoes to be made as electrodes with two positive and negative pieces showed better dispersion stability. The electrodes are made and have been tested using a smartphone. The acid in the potato forms a chemical reaction with zinc and copper and when electrons flow from one material to another energy is released.
Analisis Kualitas Produk Botol 30ml Dengan Parameter Temperatur Pada Mesin Injection Molding Model Blow Elapri, Bima Yoel; Ramdan, Dadan; Umroh, Bobby
Jurnal Ilmiah Teknik Mesin & Industri (JITMI) Vol 2, No 2 (2023): Jurnal Ilmiah Teknik Mesin & Industri (JITMI), November
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jitmi.v2i2.3424

Abstract

Injection molding is one method that is widely used because of the lower cost required. The resulting plastic product is inseparable from the problem of product defects. This research uses quantitative methods and data collection or field on the subject of research, after that analyzing each parameter. The results of this study the occurrence of several defects in the product, namely short molding product defects have the most defects, namely 3, while over mold, sink mark and weldmark or flow product defects are 2 and the least is the hole product defect, namely 1. The setting at temperature determines the quality, especially in terms of appearance, at a temperature of 190 0C gives a much better product quality compared to temperatures of 180 and 200 0C. Analyze the optimal screw speed of 8 Rpm so that the resulting product can become a desired bottle product. Analysis of product defects that occur are Sink Mark, Weldmark or flow mark, Shrinkage and Over Mold which occurs at temperatures of 180 - 200 0C. The defects that most often arise because the mold has uneven lines so that defects occur in bottle products.
Rancang Bangun Cetakan Botol Ukuran 30 ml Model Blow Pada Mesin Injection Molding Siagian, Martua Sangap; Ramdan, Dadan; Umroh, Bobby
Jurnal Ilmiah Teknik Mesin & Industri (JITMI) Vol 2, No 1 (2023): Jurnal Ilmiah Teknik Mesin & Industri (JITMI), May
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jitmi.v2i1.2009

Abstract

At present, the need to use plastics and the advancement of manufacturing technology for the material itself drive people's demand for plastics, and the development of technology has further increased competition in all fields of industry. Therefore, the plastics industry needs to increase production in terms of quality and quantity. In this way, plastic can slowly replace iron and steel due to its good moldability and light weight. In this research, as a research method, we use quantitative methods by conducting surveys, data collection and field research related to the research theme. After the data is collected, the next step is the fabrication of the test equipment. From the mold fabrication results, the mold is in the shape of a 30 ml bottle with dimensions of 105 mm x 40 mm, inlet ø 6 mm, outlet 3 mm, and the mold is made of aluminum. This mold is called the 3 plate system and the mold consists of 3 main parts which are divided into 3 parts. Good and ideal molding results were obtained with HDPE (High Density Polyethylene) material with injection speed parameters of 8 rpm and temperature of 190°C.
Analisis Kekuatan Tekan pada Kampas Rem Bahan Limbah Cangkang Kerang Dara dan Fly Ash Batubara Rifki Hardika Akbar; Dadan Ramdan
JURAL RISET RUMPUN ILMU TEKNIK Vol. 4 No. 3 (2025): Desember : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i3.6652

Abstract

This study analyzes the potential use of cockle shell waste and coal fly ash as alternative raw materials in the production of composite brake pads. The high volume of industrial and fisheries waste, which has not been optimally utilized, encourages the exploration of environmentally friendly materials with adequate mechanical performance. The main focus of this research is the compressive strength of the produced brake pads, as this parameter is crucial for ensuring effective and safe braking performance. The method used includes the mixing and molding of composite materials with varying compositions of cockle shell and fly ash, followed by compressive strength testing according to standards. This study also takes into account the environmental impact of using waste as filler material, which is expected to reduce reliance on conventional materials and decrease waste that contaminates the environment. The results of the study are expected to provide empirical data on the potential of these two wastes as fillers in brake pad matrices and to identify the optimal formulation that provides the highest compressive strength. This study contributes to the development of sustainable braking materials and efforts to mitigate the environmental impact of waste, while also opening opportunities for the reuse of waste that has previously been poorly managed.
Frequency response-based optimization of PID controllers for enhanced fluid control system performance Frianto, Herri Trisna; Humaidi, Syahrul; Tarigan, Kerista; Ramdan, Dadan; Bonardo, Doli
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i4.pp1058-1070

Abstract

Temperature and viscosity variations are known to affect the performance of proportional-integral-derivative (PID) controllers in fluid systems. However, there exist gaps in research relative to the thermal effects on the performance of PID based fluid systems. PID controllers are also utilized for fluid control to maintain stability and improve performance. This study aims to explore the influence of temperature and viscosity variations through frequency response analysis for the first time in this regard. Utilizing a controlled experimental setup, gain and phase values were measured across different temperature points. Bode and Nyquist plots were generated to observe system behavior, stability, and response to changes in temperature and fluid viscosity. The results show a clear inverse relationship between temperature and gain, with a notable phase lag increase as temperature rises. At 25 °C, the gain was measured at 15.83 dB with a phase of -52.63°, which gradually reduced to a gain of 13 dB and a phase of -61.53° at 80 °C. The Nyquist analysis revealed stable operation within this temperature range, but the shift in response indicates increased system vulnerability as viscosity decreases with rising temperature. The derived linear equations effectively model the gain-phase relationship, with an R² of 0.9985, suggesting a highly accurate fit. Overall, the study concludes that temperature-induced viscosity changes significantly impact PID-controlled fluid systems, emphasizing the need for adaptive control strategies in fluctuating environments.
Pembuatan dan Uji Impact Plat dari Serat Karbon Kevlar Lewi Gonzales Marpaung; Dadan Ramdan
Reslaj: Religion Education Social Laa Roiba Journal Vol. 7 No. 12 (2025): RESLAJ: Religion Education Social Laa Roiba Journal
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v7i12.10060

Abstract

Carbon fiber has been widely used in various fields thanks to its superior properties in terms of stiffness, lightness, strength and corrosion resistance. This study uses an experimental method using a mold and a vacuum machine and tested using a charpy impact. This test aims to determine the strength properties of a plate made of carbon fiber type Kevlar blue reflective metallic plain 200 gm formed into a plate. The results of the plate test using 3 layers of carbon fiber have an impact strength of 327 (Joules), a 7-layer plate has an impact strength of 654 (Joules), and an 11-layer plate has an impact strength of 752 (Joules). The process of making the plate by infusion, so that it can affect the density of each layer, and can be formed into a plate. The impact test was carried out to determine the impact strength value of the designed plate. From the results of the impact test, the 11-layer plate can be applied to the car body
Design and Development of a Water Flow Monitoring Device using Mitsubishi FX3U-14MT PLC Herri Trisna Frianto; Syahrul Humaidi; Kerista Tarigan; Dadan Ramdan; Doli Bonardo; Fauzan Amri
Journal of Engineering and Technological Sciences Vol. 58 No. 3 (2026): Vol. 58 No. 3(2026): June
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2026.58.3.3

Abstract

Efficient water management is essential for ensuring sustainability and reducing operational costs, especially in small to medium-scale buildings such as schools, health clinics, and office facilities. This paper presents the design and implementation of a cost-effective automated water flow monitoring system, integrating a Mitsubishi FX3U-14MT PLC with an Arduino module to facilitate real-time flow measurement and precise control of solenoid valves. The PLC is programmed using ladder logic, while the Arduino is responsible for processing sensor data, thereby enhancing measurement accuracy and contributing to overall system flexibility. In contrast to conventional industrial automation solutions, this system is specifically designed for small-scale applications, offering an effective balance of affordability, simplicity, and reliability. Experimental testing demonstrates that the system achieves high measurement accuracy, operational stability over extended use, and optimized energy efficiency, ensuring long-term reliability in water flow management. Additionally, the system’s modular design enables straightforward adaptation to various facility sizes and plumbing configurations. These findings validate the proposed system as an accessible yet effective automation solution, particularly suitable for environments where implementing large-scale industrial control systems may be impractical. Future research could focus on incorporating adaptive control algorithms and enhancing sensor integration to further improve system performance and flexibility.
Machine learning for energy conversion prediction and photovoltaic-on grid protection system using IoT Habib Satria; Muhammad Fadlan Siregar; Indri Dayana; Dadan Ramdan; Hermansyah Hermansyah; Muhammad Irwanto; Syafii Syafii
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 15, No 2: July 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v15.i2.pp416-425

Abstract

The advancement of photovoltaic (PV) systems in tropical regions faces significant efficiency challenges due to fluctuating panel surface temperatures. This study addresses these issues by implementing machine learning (ML) models, specifically k-nearest neighbors (KNN) and extreme gradient boosting (XGBoost), to classify and monitor panel temperatures. To enhance system resilience, an internet of things (IoT) based on-grid protection system was developed, featuring a dual-relay redundancy mechanism that triggers an automated trip when the current exceeds 1.30 A. This integration ensures the protection of both the PV infrastructure and household electrical loads. Experimental results demonstrate that the KNN model exhibits superior reliability with a testing accuracy of 93% and a baseline performance of 96.67%, successfully identifying both normal (25 °C to 35 °C) and high-temperature (36 °C to 48 °C) states. In contrast, while the XGBoost model reached a maximum validation accuracy of 94.44% during training, it only achieved a testing accuracy of 84% and showed significant limitations in detecting normal temperature patterns. Beyond classification, the IoT framework proved highly precise in real-time energy monitoring, with sensor error rates below 2%. This research offers a strategic solution for optimizing energy conversion and system reliability, providing a robust framework for sustainable clean energy management in tropical climates.
Comparative Modeling of Harmonic Wave Reduction on Periodic Signals Through Fourier Series Integration and Passive Filter Effectiveness Siregar, Muhammad Fadlan; Ramdan, Dadan
Elkawnie Vol. 12 No. 1 (2026)
Publisher : Faculty of Science and Technology Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ekw.v12i1.34240

Abstract

Abstract: Harmonic distortion is a crucial problem in electric power systems caused by the use of non-linear loads, this study presents a comparative modeling of harmonic wave reduction on periodic signals through Fourier Series integration and the use of passive filters, research methodology involves collecting real data in the field using a power quality analyzer  FLUKE 435 series II on a distribution panel to identify the critical load profile. Load characteristics are analyzed through individual current decomposition (IHDi) from the 3rd to 23rd order. The observation results show that load  has the highest fundamental current peak of 0.541 A with dominant distortion in the 3rd and 5th orders. The implementation of a specifically tuned RLC passive filter is proven to be effective in improving the current waveform to a pure sinusoidal in the time domain with a fundamental frequency of 50 Hz. Overall, the integration of this mathematical model is able to suppress harmonics to meet the international standard IEEE 519, ensuring the efficiency and stability of the electric power distribution system, The results of the data analysis and modeling conducted indicate that Fourier series integration is highly effective in representing the characteristics of nonlinear loads in electric power systems, determining filter values ​​that will reduce harmonics and the appropriate filter models. Abstrak: Distorsi harmonik merupakan masalah penting pada sistem tenaga listrik yang disebabkan oleh penggunaan beban non-linier. Studi ini menyajikan pemodelan komparatif pengurangan gelombang harmonik pada sinyal periodik melalui integrasi deret Fourier dan penggunaan filter pasif, metodologi penelitian melibatkan pengumpulan data dunia nyata di lapangan menggunakan power quality analyzer  FLUKE 435 series II pada panel distribusi untuk mengidentifikasi profil beban kritis, karakteristik beban dianalisis melalui dekomposisi arus individual (IHDi) dari orde ke-3 hingga ke-23. Observasi menunjukkan bahwa Beban memiliki arus puncak fundamental tertinggi sebesar 0,541 A, dengan distorsi dominan pada orde ke-3 dan ke-5. Implementasi filter pasif RLC yang disetel secara khusus terbukti efektif dalam meningkatkan bentuk gelombang arus menjadi sinusoidal murni dalam domain waktu dengan frekuensi fundamental 50 Hz. Secara keseluruhan, integrasi model matematika ini mampu menekan harmonik untuk memenuhi standar internasional IEEE 519, memastikan efisiensi dan stabilitas sistem distribusi daya listrik. Hasil analisis data dan pemodelan yang dilakukan dapat disimpulkan bahwa integrasi deret fourier sangat efektif dalam merepresentasikan karakteristik beban non-linier dalam sistem daya listrik untuk menentukan nilai filter yang akan mengurangi harmonik dan model filter yang dapat digunakan.
Multi-level redundancy with internet of things battery supply for fault mitigation in grid-tied photovoltaic systems Habib Satria; Muhammad Fadlan Siregar; Indri Dayana; Dadan Ramdan; Muhammad Irwanto; Syafii Syafii
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp622-633

Abstract

The development of grid-tied photovoltaic (PV) systems in tropical regions remains a strategic focus for achieving sustainable clean energy. However, energy conversion efficiency is often hampered by fluctuations in panel surface temperature and electrical faults. To ensure long-term system reliability, this study implements a multi-level redundancy architecture integrated with dynamic internet of things (IoT) monitoring for fault mitigation in grid-tied PV systems. The system employs a machine learning (ML) method using the k-nearest neighbors (KNN) algorithm for thermal classification, achieving an accuracy of 84% in identifying normal (25 °C to 35 °C) and overheating conditions. Furthermore, an electrical redundancy layer is designed with an automatic tripping mechanism that activates when the current exceeds a 1.30 A threshold, demonstrating a rapid response latency of 150 ms. To ensure monitoring resilience, the system is supported by a dedicated 18650 Li-ion battery backup. The implementation results confirm that this multi-level protection framework effectively monitors real time energy usage, prevents critical component damage, and enhances the overall safety of household-scale PV installations. This research provides a scalable and intelligent solution for fault mitigation, supporting the broader adoption of renewable energy in tropical environments.