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Jurnal Teknologi
Published by Politeknik Negeri Lhokseumawe
ISSN : 14121476     EISSN : 25500961     DOI : http://doi.org/10.30811/teknologi
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering
Jurnal Teknologi is a peer-reviewed journal that aims at the publication and dissemination of original research articles on the latest developments in all fields of technology and engineering sciences. The journal publishes original papers in Indonesian and English, which contribute to the understanding of engineering science and the improvement of engineering technology. Papers may be theoretical, experimental, or both, and applied engineering science and technology. The articles submitted to Jurnal Teknologi should be unpublished before and not under consideration for publication elsewhere. The scope of Jurnal Teknologi includes a wide spectrum of technology and engineering science subjects including: Civil engineering; Mechanical engineering; Chemical engineering Electrical engineering; Information and technology; Computer science and engineering; Materials science and engineering; Renewable energy engineering;
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 151 Documents
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Pengaruh Variasi Temperatur dan Promotor Zn terhadap Konversi Karbon Dioksida (CO2) Menggunakan Katalis Ni/Al2O3 Novariana, Mayra; Junaidi, Robert; Mujiyanti, Apri
Jurnal Teknologi Vol 25, No 3 (2025): Desember 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i3.7923

Abstract

The ever-increasing need for fossil fuels, including natural gas, petroleum, and coal, to drive economic growth, has triggered a significant increase in carbon dioxide emissions. Methane is the most basic hydrocarbon compound, under standard temperature and pressure conditions, methane is a colorless and odorless gas. Nickel-based catalysts are the most widely used catalysts in the CO₂ methanation process because they have high activity and selectivity towards methane (CH₄) formation. This study aims to optimize the conversion of carbon dioxide into methane gas using a Catalytic Batch Reactor with the help of a Ni/Al₂O₃ catalyst with variations in temperature and NaOH flow rate. In this study, CO₂ is used as a raw material with a Ni/Al₂O₃ catalyst and a Zn promoter. The Zn Promoter Mass and temperature will be regulated with variations. For methane gas analysis, a Multi Gas Detector Analyzer will be used. From this study, the results showed that the highest methane gas (CH₄) was obtained at a temperature of 200°C with the addition of 15 grams of Zn promoter, which is 56.44%.
Evaluasi Kinerja Eksperimental Mekanisme Gateway-Polled Sequential Access (GPSA) pada Jaringan LoRa Multi-Node Single-hop untuk Aplikasi Internet of Things (IoT) Ridho, Sahid; Dahlan, A Ahmad; Yustini, Yustini; Rusfandi, Rusfandi; Ferdiansyah, Ferdiansyah
Jurnal Teknologi Vol 25, No 3 (2025): Desember 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i3.8301

Abstract

This study presents the development and experimental evaluation of a single-hop multi-node LoRa communication system implementing the Gateway-Polled Sequential Access (GPSA) mechanism. The proposed GPSA scheme is a simplified form of Time Division Multiple Access (TDMA), where the gateway acts as the central controller that sequentially triggers each node via a START command, ensuring collision-free communication. The system was tested in four communication scenarios (1–4 nodes) at distances of 10 m, 50 m, 100 m, and 200 m in an open-field environment using E22-900T22D LoRa modules, INA219 current sensors, and a microSD-based logging system. The evaluated parameters included Received Signal Strength Indicator (RSSI), Round Trip Time (RTT), Packet Delivery Ratio (PDR), and the energy consumption of both the gateway and nodes. Experimental results show that the RSSI decreased reasonably from −51 dBm to −82 dBm as distance increased, while RTT remained stable between 760–820 ms. The PDR consistently achieved 100% across all test scenarios, confirming the reliability of the sequential polling mechanism in avoiding transmission collisions. Node energy consumption remained stable at 16–18 mJ per communication cycle and was independent of distance, while gateway energy consumption increased proportionally with the number of active nodes. With a 7.4 V / 1100 mAh Li-Po battery, each node can operate continuously for approximately 17 days. Overall, the LoRa-GPSA system demonstrated high energy efficiency, communication stability, and straightforward implementation, making it an effective solution for medium-range IoT field applications
Implementasi Web Service Pada Sistem Akuakultur Berbasis Internet of Things Rahmawati, Rika; Nasir, Muhammad; Hidayat, Hari Toha; Amri, Amri; Ramadhani, Ayu
Jurnal Teknologi Vol 25, No 3 (2025): Desember 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i3.8366

Abstract

Aquaculture is oriented towards a sustainable environment that requires more attention, fish can live and breed well if their environmental requirements have been met or are close to their natural habitat. The main parameter in carrying out fish farming is water quality. The main parameter in carrying out fish farming is water quality. Water quality needs to be monitored regularly so that success in aquaculture is achieved. API that functions to integrate between applications to facilitate communication between the two. The method used, namely rest web service, is expected to be used by IoT device developers and web application developers for monitoring and controlling freshwater fish farming. The results of the implementation of web services in an internet-based aquaculture system of things with this to make it easier to do. With this system, monitoring and control can also be done remotely (online) and in real time by cultivators. The results obtained from testing using jmeeter conducting load testing tests were obtained using virtual users and there were response times in milliseconds. Testing the response times based on the number of users, 250 users entered the 1.0 category with a description of some lags, but users are unlikely to see the disturbance and when entering thousands of users experience a long delay, which is more than a maximum waiting time of 10 seconds so that this causes users to experience interruptions due to the resulting waiting time with an error rate above 50.00%.
Pemanfaatan Jeruk (Citrus Sinensis) dengan Penambahan Natrium Karbonat (Na₂CO₃) untuk Pembuatan Bio-Baterai Bramantio, Iqbal; Rusdianasari, Rusdianasari; Aziz Pramito, Akbar Ismi
Jurnal Teknologi Vol 25, No 3 (2025): Desember 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i3.7811

Abstract

The increasing demand for electrical energy due to population growth, urbanization, and technological development requires alternative solutions that are environmentally friendly and sustainable. Conventional batteries generally contain hazardous heavy metals, thus encouraging the development of bio-batteries using natural materials. This study aims to utilize orange (Citrus sinensis) juice as an electrolyte in the fabrication of bio-batteries and to investigate the effect of sodium carbonate (Na₂CO₃) addition on their electrochemical performance. The research was conducted experimentally by preparing electrolyte solutions consisting of orange juice with variations in volume (200–400 mL) and Na₂CO₃ concentration (0.5; 1; and 2 M). Electrodes used were copper (Cu) as cathode and aluminum (Al) as anode, arranged in series within a BioChamber. Parameters measured included pH 5, voltage, current, power, conductivity, and LED lighting duration. The results show that the optimum condition was obtained at 200 mL of orange juice with 0.5 M Na₂CO₃, producing a voltage of 6.45 V, a current of 30.89 mA, a power of 199.24 mW, and LED lighting duration of approximately 356 minutes. Increasing the Na₂CO₃ concentration to 1 M and 2 M decreased the performance due to the excessive alkalinity of the solution. This study demonstrates that orange juice combined with Na₂CO₃ has significant potential as an alternative, environmentally friendly energy source for the development of green energy technologies.
Evaluasi Kinerja YOLOv11 pada Deteksi Penyakit Tanaman Cabai: Studi Komparatif dengan YOLOv8, YOLOv5, dan SSD Permatasari, Jelita; Armin, Edmund Ucok; Sunardi, Egi; Laili, Maria Bestarina; Putri, Salsanabila Mariestiara
Jurnal Teknologi Vol 25, No 3 (2025): Desember 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i3.8400

Abstract

Early and accurate detection of chili plant diseases is essential to support precision agriculture and minimize crop losses. Conventional visual inspection performed by farmers is often subjective and inconsistent, particularly under varying lighting conditions and complex field environments. Recent developments in deep learning, especially object detection models, enable the automation of disease identification with higher reliability. This study evaluates the performance of the YOLOv11 architecture for detecting three classes related to chili plant conditions—anthracnose, fruit fly, and healthy fruit—using a primary dataset of 1,062 field images collected in Karawang, Indonesia. The model was trained using a standardized configuration and compared with three widely used object detection models: YOLOv8, YOLOv5, and SSD. The training process was conducted for 100 epochs, with evaluation metrics including precision, recall, mAP50, mAP50–95, and inference time. Experimental results show that YOLOv11 achieved the highest detection performance, with an mAP50 of 86.94%, outperforming YOLOv8 by 3.8%, YOLOv5 by 6.8%, and SSD by 12.7%. The model also demonstrated the fastest inference speed at 10.9 ms, making it suitable for real-time field applications. Training analysis indicated stable convergence at the 61st epoch, supported by balanced precision (0.82391) and recall (0.77967) values as well as consistent reductions in both training and validation losses. These findings demonstrate that YOLOv11 provides more accurate and efficient detection of chili plant diseases compared with previous YOLO variants and SSD, and it offers strong potential for implementation in practical agricultural environments.
Production of Granular Potassium Fertilizer from Oil Palm Empty Fruit Bunch (EFB) Incineration Ash Erizal, Erizal; Irwan, Irwan; Zaini, Halim
Jurnal Teknologi Vol 25, No 3 (2025): Desember 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i3.7527

Abstract

The transformation of oil palm empty fruit bunch (EFB) incineration ash into granular potassium fertilizer offers a promising approach to recycling agro-industrial waste while producing value-added products. This study focuses on the formulation of EFB ash-based granules using tapioca starch as a natural binder, and examines the effects of binder weight and drying time on granule yield, pH, K₂O content, and moisture content. Tapioca starch was incorporated at five  different weight (5, 10, 15, 20,  and 25 g) to evaluate its influence on granulation performance. The results showed that increasing tapioca starch content significantly improved the granule yield, achieving a maximum of 67.91% at 15 g. However, there are no granular formed. The granular formed at weight of binder 25 g that resulted 67.22% yield and 36.72% Potasium. The pH of the granules slightly decreased with increasing binder dosage. Moisture content was influenced by both the binder weight and drying time; higher starch content retained more water. This study demonstrates that tapioca starch is a viable biodegradable binder for producing eco-friendly granular fertilizers from EFB ash, supporting sustainable waste valorization and agricultural practices.
Sistem Inoklamasi Awards sebagai Media Penilaian Inovasi Daerah pada Innovative Government Awards (IGA) Kabupaten Bangka Oktaviani, Ajeng; Fujiyanti, Linda; Wathan, M. Hizbul
Jurnal Teknologi Vol 25, No 3 (2025): Desember 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i3.8368

Abstract

Regional innovation plays an important role in improving government performance efficiency and the quality of public services. As a form of appreciation, the Ministry of Home Affairs organizes the Innovative Government Awards (IGA) for regional governments that have successfully implemented innovations in governance, development, and public services. However, the process of collecting and managing innovation data is still carried out manually, making it prone to delays, data loss, and assessment inaccuracies. This study aims to design and develop the Innovation and Proclamation (Inoklamasi) Awards System, a web-based information system that supports the digitalization of innovation data collection, verification, and evaluation processes. The system was developed using an iterative prototyping method, consisting of requirement analysis, design, implementation, and evaluation stages. Its main features include innovation submission by local government agencies (OPD), both automatic and manual data validation, and online assessment by evaluators. Based on the User Acceptance Test (UAT) results, the system achieved a satisfaction rate of 84.75% from 240 respondents, indicating that it is feasible for implementation. The application of the Inoklamasi Awards System is expected to improve administrative efficiency, accelerate workflow, and strengthen coordination among OPD, evaluators, and Bappeda, thereby supporting a transparent and sustainable digital government transformation.
Monitoring Pemeliharaan Prediktif Agitator Mixer pada Water Treatment Berbasis Data (IoT) Widikda, Aris Puja; Frayudha, Angga Debby
Jurnal Teknologi Vol 25, No 3 (2025): Desember 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i3.8297

Abstract

Clean water is a vital necessity for human life and industry, so the clarity of the water treatment system (water treatment) is a crucial factor in maintaining the continuity of clean air supply. One of the important component in this system is the agitator mixer, which functions to mix coagulant and flocculant chemicals so that the dirt particle inspection process runs optimally. Damage to the agitator such as bearing wear, blade alignment, or electric motor disruption can cause a decrease in air quality and increase maintenance costs. This research developed an Internet of Things (IoT)-based predictive maintenance monitoring system to detect the working condition of the agitator mixer in real-time through vibration, temperature, and rotational speed (RPM) sensors. The obtained data was analyzed using the Isolation Forest algorithm to detect anomalies and ANFIS to predict maintenance times. The test results showed a MAPE value of 0.518% and a correlation coefficient of 0.9997, indicating high accuracy between sensor data and actual conditions. This system is able to provide early warning of potential damage, so that maintenance can be carried out in a planned manner without stopping the water treatment process. The implementation of this system improves operational efficiency, extends equipment life, and supports the digital transformation towards a smart and sustainable water treatment industry.
Experimental Study of the Effect of Preheating Process on Welded Joints of ASTM A36 Material on Mechanical Characteristics: Evaluation of Tensile, Bending, and Macrostructure Irawan, Benny Haddli; Novian, Fazri Dwi Putra; Saihilmi, Muhammad Irsyad
Jurnal Teknologi Vol 25, No 3 (2025): Desember 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i3.8322

Abstract

In the oil and gas industry, welding errors frequently necessitate replating. Preheating is a heat treatment method used to minimize temperature gradients between the weld area and its surroundings, thereby reducing the risk of weld defects. This study employs an experimental approach to evaluate the effect of preheating during rewelding and to assess the resulting mechanical properties of the weld metal. The experiment involved two rewelding cycles with preheating. The minimum preheating temperature was set at 50 ºC, and the minimum interpass temperature at 240 ºC. Shielded Metal Arc Welding (SMAW) was used to weld ASTM A36 carbon steel. The experimental procedures included tensile testing, bending testing, and macrostructural analysis. Welding was performed on A36 steel using E7016 and E7018 filler materials, with a current of 94.1 A and a groove configuration featuring a 30º bevel angle. The findings of this research can inform the development or revision of procedure qualification records (PQR) to meet industry quality and safety standards.
Rancangan Sistem Informasi Perawatan Preventif Berbasis Website di Bengkel Mekanik Politeknik Manufaktur Negeri Bangka Belitung Christianty, Licia; Irwan, Irwan; Swengky, Better; Napitupulu, Robert
Jurnal Teknologi Vol 25, No 3 (2025): Desember 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i3.7858

Abstract

Machine maintenance plays a crucial role in ensuring the smooth operation of practical activities at the Mechanical Workshop of Politeknik Manufaktur Negeri Bangka Belitung. The current manual maintenance process often causes scheduling delays, recording errors, and difficulties in monitoring machine conditions. This study aims to design and implement a web-based preventive maintenance information system to enhance the efficiency and effectiveness of machine management. The development process applies the Agile method using the Laravel framework and MariaDB as the database management system. The system includes key features such as machine data management, maintenance scheduling, submission and approval workflows, automated email notifications, integration with the Google Calendar API, and maintenance and spare part reporting modules. The system was tested using the black box testing method, which confirmed that all functions operated according to user requirements. Questionnaire results from laboratory staff, lecturers, and students indicated that the system improved scheduling consistency, data recording accuracy, and the effectiveness of notification features in reminding users of maintenance schedules. Approximately 50% of respondents agreed that the system successfully manages maintenance scheduling in a structured and computerized manner, while the notification feature helps reduce the risk of maintenance negligence. Therefore, the developed system serves as an effective digital solution to support preventive maintenance management in vocational education environments

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