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INDONESIA
Jurnal Elementer (Elektro dan Mesin Terapan)
Published by Politeknik Caltex Riau
ISSN : 24434167     EISSN : 24605263     DOI : https://doi.org/10.35143/elementer
Core Subject : Engineering,
Electrical & Electronics Engineering Engineering Mechanical Engineering
Jurnal ELEMENTER is a National journal providing authoritative sources of scientific information for researchers and engineers in academia, research institutions, government agencies, and industries. We publish original research papers, review articles, and case studies focused on Electrical Engineering, Machine Engineering, and Mechatronics Engineering fields. All papers are peer-reviewed by at least two referees. Jurnal ELEMENTER is published and imprinted by Politeknik Caltex Riau and managed to be issued twice in every volume a year ( May and November ).
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 177 Documents
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Rancang Bangun Penerjemah BISINDO Real-time Berbasis Kamera dan Deep Learning dengan Kendali Suara ESP32 WiFi I Gusti Agung Made Yoga Mahaputra; Putri Alit Widyastuti Santiary; I Ketut Swardika
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 11 No 1 (2025): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v11i1.6578

Abstract

Indonesian Sign Language (BISINDO) serves as the primary means of communication for the deaf community. However, limited public understanding and the lack of practical real-time translation technology remain significant barriers to effective two-way communication. Most prior research has focused on foreign sign languages or relied on sensor-based gloves, which are less flexible for everyday use. This study proposes a real-time BISINDO translation system that converts hand gestures into speech using a camera and an ESP32 microcontroller. The system employs a CNN-LSTM deep learning model implemented in Python to classify gestures representing letters A to J, then wirelessly transmits the classification results to the ESP32, which triggers the corresponding audio output. A custom gesture dataset was collected and enhanced through preprocessing and data augmentation to support model training. Evaluation results demonstrate a classification accuracy of 91.4%, with a precision of 89.7%, recall of 90.5%, and F1-score of 89.9%. The average communication latency was recorded at 3.1 seconds, and the speech output success rate reached 86.7%. The system has proven reliable for real-time automatic gesture-to-speech translation and holds potential for further development as an inclusive communication aid for individuals with hearing impairments in Indonesia. This study serves as an initial foundation for future advancements in assistive communication technologies.
Analisis Frekuensi Domain Pada Sinyal EEG Terhadap Stimulus Gambar Kemasan Produk: Studi Neuromarketing dalam Kemasan Produk Suhendro, Jauzaa Maylia; Ni Wayan Nanik Suaryani Taro Putri; Endria, Felysia; Renanda Putra Prasetya, Gede
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 11 No 1 (2025): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v11i1.6590

Abstract

Product packaging not only serves as protection but also functions as a strategic visual element that shapes consumer perception at the point of sale. With the advancement of neuroscience-based marketing, neuromarketing has emerged as a promising approach to investigate brain responses to visual stimuli. This study aims to analyze alpha wave activity in response to product packaging images categorized as attractive and unattractive. A total of 25 participants were involved, with visual stimuli selected based on a prior survey of 60 respondents. Brain activity was recorded using EEG from channels O1 and O2 and analyzed using the Power Spectral Density (PSD) method. The results indicate that attractive packaging elicited higher alpha wave activity compared to unattractive packaging and baseline, suggesting increased visual attention. Furthermore, PSD features were classified using three machine learning algorithms: Random Forest, Support Vector Machine, and K-Nearest Neighbors. Among them, Random Forest achieved the highest test accuracy at 78%. This study contributes to the objective evaluation of product packaging design through brain signal analysis and supports the development of data-driven marketing strategies.
Analysis of the Effectiveness of Fluidized Bed Dryer in Black Tea Processing Using the OEE Approach Prayitno, Hadi; Firmando, Moses; Panuju, Achmad Yahya Teguh; Lestari, Rahayu; Rachmawati, Tety
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 11 No 1 (2025): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v11i1.6624

Abstract

This study evaluated the operational effectiveness of the Fluidized Bed Dryer (FBD) machine in the traditional black tea drying process using the Overall Equipment Effectiveness (OEE) framework, which includes availability, performance efficiency, and quality rate, as defined in ISO 22400-2:2014. Data collected from January to June 2023 indicated an average OEE of 83.66%. Although availability was consistently high (94–100%) and product quality maintained at 100% throughout the month, performance efficiency varied considerably, dropping to 69% in January and 66% in April, primarily due to operational delays and unstable machine utilization. These results indicate that performance efficiency was the main factor affecting OEE and total productivity. It recommends implementing condition-based maintenance procedures and real-time process monitoring systems to minimize unexpected downtime and enhance operational stability. Better regulation of input load, airflow, and drying temperature was crucial to ensure consistent performance and support product standardization in accordance with SNI 2891:2016, ultimately enhancing the competitiveness of the black tea processing industry.
Deteksi Penyakit Katarak pada Citra Mata Manusia Menggunakan Metode ResNet-50 Nugraha, Rifki Fajar; Rahmadewi, Reni
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 11 No 1 (2025): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v11i1.6632

Abstract

Cataract is a leading cause of blindness that requires quick and accurate diagnosis to prevent further deterioration in vision quality. However, conventional examination methods often require a long time and specialized expertise, making them difficult to access widely. Along with technological developments, digital image processing offers a solution to detect cataracts more efficiently. This research aims to develop an image processing-based cataract identification system using a deep learning approach through the ResNet-50 architecture for pattern recognition in eye images. The research process includes image matrix transformation and file compression to improve data processing efficiency. Eye image datasets are used as training and testing data in the classification process using first-order parameters and 100 epochs. Test results showed the system was able to identify cataracts with an accuracy of 95.7% and the best computation time of 1.888 seconds, using 400 training data and 381 validation data. The resulting software simulation can be a digital image-based cataract early diagnosis tool, which is expected to support medical personnel in providing faster treatment and expanding access to eye health services.
Experimental Study of Performance and Emissions of a 4-Stroke Engine with a Capacity of 110cc Muhammad, Rouf; Pramanda, Wibi; Widyantoro, Arif; Joko Sumbogo, Yuliarto; Jiwo Satrio, Hutomo; Safi'i, Muhamad; Ramadhan Nur, Hamid; Ibrahim Soumi, Andi
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 11 No 1 (2025): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v11i1.6643

Abstract

In addition to adding ferrite beads to the ignition coil, this study attempts to examine the effects of different spark plugs and ignition coils. Ferrite beads are employed to mitigate electrical noise and enhance electrical efficiency. This research facilitates the examination of engine performance and exhaust emissions, thereby offering insight into the combustion process within the combustion chamber. This study used a 4-stroke Otto engine with a displacement of 110 cc, powered by RON 92 gasoline. We utilize three types of spark plugs: Denso U22FS-U, NGK 14 mm, and Iridium IU27. Two varieties of ignition coils are employed: PCX 150 and COL9001, supplemented by ferrite beads. Dynotes are utilized to assess engine performance, while gas analyzers are employed to evaluate exhaust pollutants. The criteria examined for engine performance include torque and power, while exhaust emission parameters consist of CO, CO2, O2, and HC. The findings indicate that the NGK 14-mm spark plug, when paired with a COL9001 ignition coil and supplemented with a ferrite bead, achieves a peak torque of 7.67 Nm at 6514.42 rpm and a maximum power output of 5.73 kW at 72813.93 rpm. This setup yields minimal emissions and favorable fuel consumption when it is implemented. This study's findings offer significant insights and references for tactics including spark plugs, ignition coils, and ferrite beads.
Implementasi LoRa sebagai Media Komunikasi Data Tinggi Air pada Lahan Gambut Harpawi, Noptin; Triyani, Yuli; Rahmawaty, Made; Rizki Saputra, Muhammad
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 11 No 2 (2025): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v11i2.6654

Abstract

Peatland Forest Fires pose a serious threat, particularly in Riau, which has 3.89 million hectares of peatland and is highly vulnerable during the dry season. These fires are difficult to control because the flames can spread beneath the dry surface of the soil. One preventive measure is real-time monitoring of the water table to maintain soil moisture. Long Range (LoRa) technology, with its long-range communication and low power consumption, is more effective than cellular-based IoT systems, which are limited in remote areas. This study developed a seven-hop LoRa multi-hop system to transmit data from remote areas to a cellular network via river routes without the need for expensive infrastructure. The solution is more efficient, offering a cost reduction of up to 96%-99% compared to other methods. The system will be applied at PT Rimba Mandau Lestari, Siak Regency, Riau, to replace the less effective manual monitoring approach. Testing results showed that the use of a Low Noise Amplifier (LNA) improved signal quality, achieving an average RSSI of -97.6 dBm and a Delivery Success Rate of 100%, with a delay of up to 12.36 seconds.
Pengukuran Sinyal dari Sensor Accelerometer dan Gyroscope untuk Menentukan Gerak Jatuh pada Lansia Menggunakan Metode Ambang Batas (Threshold) Kristian Hutagalung, Yogi; Fahruzi, Iman
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 11 No 2 (2025): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v11i2.6695

Abstract

Penelitian ini bertujuan untuk mengembangkan perangkat wearable pendeteksi jatuh bagi lansia menggunakan metode ambang batas (threshold). Risiko jatuh pada lansia merupakan masalah serius karena dapat menyebabkan cedera berat hingga kematian, terutama jika bantuan tidak segera diberikan. Sebagai kelompok rentan, lansia memerlukan solusi teknologi yang mampu mendeteksi kejadian jatuh secara cepat dan akurat untuk meningkatkan keselamatan mereka. Sistem ini memanfaatkan sensor accelerometer, gyroscope, dan microphone berbasis Arduino untuk mendeteksi gerakan jatuh melalui pengukuran percepatan dan tekanan. Perangkat ini dirancang dengan pendekatan ergonomis dan konsumsi daya rendah serta dilengkapi modul GSM yang secara otomatis mengirimkan notifikasi ke ponsel keluarga ketika kejadian jatuh terdeteksi. Pengujian dilakukan pada lansia dengan berbagai skenario gerakan, mencakup aktivitas jatuh dan normal. Hasil pengujian menunjukkan tingkat akurasi sebesar 92,85%, sensitivitas 91%, dan spesifisitas 97,5%, yang menegaskan kemampuan perangkat dalam membedakan gerakan jatuh dari aktivitas biasa. Dengan desain yang sederhana, efisien, dan andal, perangkat ini diharapkan menjadi solusi inovatif untuk meningkatkan keselamatan lansia dan memudahkan keluarga dalam memantau risiko jatuh secara real-time.
Optimalisasi Waktu Pengapian untuk Mesin Bensin: Studi Performa dan Emisi Ramadhan Nur, Hamid; Muhammad, Rouf; Sugiyarto; Dwi Ardika, Rizki; Rizki Bintoro, Sefrian; Safi'i, Muhamad; Isdhianto, Irfan
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 11 No 2 (2025): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v11i2.6761

Abstract

Multiple factors affect the performance of spark ignition (SI) engines, with ignition time being a crucial element. Accurate ignition timing is essential for optimizing engine performance and regulating exhaust emissions. This study examines the performance, fuel efficiency, and exhaust emissions of a 125cc engine by evaluating ignition timing variations at 550, 600, and 650 CA BTDC. The study involved direct evaluation of engine performance with a dynamometer test for torque and power, assessment of fuel consumption using a measuring cup, and investigation of exhaust emissions using a gas analyzer. The precise calibration of ignition timing discrepancies was accomplished via a motorbike diagnostic tool. The findings demonstrate that a 600 CA BTDC ignition timing variation produces excellent engine performance and efficient exhaust emissions. Optimal ignition timing profoundly influences engine performance and emission quality, rendering it essential for enhancing efficiency and mitigating environmental effects. Consequently, the results of this study may serve as a reference for practical applications in the field. Keywords: ignition timing, engine performance, emission, fuel consumption.  
ANALISIS EKSPERIMENTAL PENGARUH VARIASI BILAH 2, 4, DAN 6 TURBIN ANGIN SAVONIUS TIPE-L TERHADAP KECEPATAN PUTAR SERTA TORSI PADA KECEPATAN ANGIN RENDAH Mahardika, Shultoni; Anita Fajardini, Ridhani; Basya Shahrys Tsany, Rahmat; Indrawan, Rizal
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 11 No 2 (2025): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v11i2.6776

Abstract

The utilization of wind energy through vertical axis turbines such as Savonius Type-L is a promising solution for small-scale renewable energy, but the understanding of the effect of blade number variation on its performance is still limited. This study aims to experimentally analyze the performance of the L-type Savonius wind turbine by varying the number of blades (2, 4, and 6) in the wind speed range of 6, 7, and 8 m/s. Tests were conducted using a wind tunnel to measure key parameters such as rotational speed and torque under controlled conditions. The results showed a strong positive correlation, where an increase in wind speed consistently increased the rotational speed and torque across all blade configurations. Specifically, the 4-blade configuration showed the most superior performance, achieving the highest rotational speed and torque compared to other configurations at a wind speed of 8 m/s. This finding confirms that wind speed is a determinant factor in turbine performance and indicates that the 4-blade configuration is the optimal choice to maximize power extraction under the test conditions conducted. Keywords: Savonius, Turbine blade, Torque, Rotational Speed.
Rancang Bangun dan Evaluasi Sistem Pelacakan Lokasi Antarpendaki Berbasis LoRa dengan Aplikasi Android Tanpa Koneksi Internet mahfudi, isa; Delila Lukisani Tungga Dewi; Hadiwiyatno
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 11 No 2 (2025): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v11i2.6784

Abstract

Mountain hiking activities in Indonesia continue to grow, yet limited cellular network coverage in mountainous areas remains a major challenge for communication and hiker safety monitoring. This study aims to design and implement a LoRa-based hiker location tracking system integrated with an Android application operating without an internet connection. The system consists of ESP32-based nodes integrated with GPS SIM808 and LoRa Ebyte E220-900T22D modules for transmitting positional data between devices. The coordinates are exchanged via a peer-to-peer (P2P) LoRa network and displayed in real-time on an Android application using offline OpenStreetMap. The research employed a Research and Development (R&D) approach through stages of system design, implementation, and functional testing in open-field conditions. Experimental results show that the system achieved an average GPS accuracy deviation of 6–7 meters, LoRa communication range of up to 500 meters (LOS) and 350 meters (NLOS), and an average Bluetooth communication delay of 990 ms. The findings demonstrate that the proposed system can effectively display inter-hiker positions in near real-time without internet connectivity, enhancing safety and coordination among hikers in signal-limited environments.

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