cover
Contact Name
Irwan
Contact Email
jurnalteknologi@pnl.ac.id
Phone
+6282168374201
Journal Mail Official
jurnalteknologi@pnl.ac.id
Editorial Address
Politeknik Negeri Lhokseumawe Jl. Medan Banda Aceh Km. 280,3 Buketrata Lhokseumawe
Location
Kota lhokseumawe,
Aceh
INDONESIA
Jurnal Teknologi
ISSN : 14121476     EISSN : 25500961     DOI : http://doi.org/10.30811/teknologi
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 The articles submitted to Jurnal Teknologi should be unpublished before and not under consideration for publication elsewhere.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;
Articles 136 Documents
Pengembangan Pompa Sprayer Otomatis Berbasis Mikrokontroler Menggunakan Tenaga Surya sebagai Sumber Energi Al Fatah, Muhammad Agil; Ali, Salahuddin; Manalu, Abdullah; Rahmawati, Rahmawati
Jurnal Teknologi Vol 25, No 2 (2025): Agustus 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i2.7175

Abstract

The challenges associated with manual irrigation systems, which require significant labor and time, highlight the need for the development of an energy-efficient and environmentally friendly automatic liquid spraying system. This study aims to design and evaluate an automatic sprayer pump system based on a microcontroller (Arduino Mega 2560) powered by a solar panel. The system is controlled using a PS2 joystick remote and utilizes an ultrasonic sensor to monitor the fluid level in the tank. Test results show that the system can operate effectively within a remote control range of up to 30 meters, and the ultrasonic sensor exhibited an average error rate of only 3.22%. Charging with an 80 WP solar panel takes approximately 5 hours to produce 400 Wh of energy. The pump is capable of operating for up to 30 minutes before the battery voltage drops to 11.1 V. With a total energy consumption of 400 Wh, this system is feasible for use in small-scale farming and remote areas.
Machine Learning-Based Prediction of Sleep Disorders from Lifestyle and Physiological Data: A Cross-Occupational Study Sari, Hermin Kartika; Shoelarta, Shoerya; Pratama, Thomas Oka; Sajida, Gita Nur; Krista, Gustin Mustika; Ferawati, Yohana Fransiska; Taufiqurrahim, Teguh
Jurnal Teknologi Vol 25, No 2 (2025): Agustus 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i2.7507

Abstract

Sleep disorders are increasingly recognized as critical public health concerns, particularly among working populations where occupational stress, lifestyle factors, and physiological imbalances intersect. This study explores the predictive capacity of machine learning models, including Random Forest, Support Vector Machine (SVM), and XGBoost to identify sleep disorders (None, Insomnia, and Sleep Apnea) using a dataset comprising demographic, occupational, lifestyle, and physiological variables. The dataset, drawn from 400 individuals, was preprocessed through normalization, one-hot encoding, and SMOTE to address class imbalance. Feature selection was conducted using correlation analysis, RFE, and Random Forest importance scores. Models were trained with stratified sampling and optimized using 5-fold cross-validation. XGBoost outperformed the others with an accuracy of 0.90 and an F1-score of 0.88, followed by Random Forest (0.875, 0.86), while SVM lagged (0.825, 0.71). Confusion matrix analysis revealed consistent misclassification between Insomnia and Sleep Apnea, reflecting overlapping symptomatology and low feature correlation. Occupational analysis showed that manual laborers exhibited higher stress levels and shorter sleep durations, particularly those with insomnia. These findings highlight the value of integrating occupational and physiological data into predictive modeling and underscore the potential of ensemble learning methods in health informatics. This study supports the development of early detection systems for sleep disorders tailored to occupational risk profiles.
Utilization of a Mixture of Peuyeumization Market Waste-Derived RDF (Refuse-Derived Fuel) and Coconut Shell Charcoal (CSC) into Bio-Briquettes with Coal-Calorific Value Elfiana, Elfiana; Intan, Syarifah Keumala; Ruhana, Ruhana; Rahmahwati, Cut Aja; Zaini, Halim
Jurnal Teknologi Vol 25, No 2 (2025): Agustus 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i2.6887

Abstract

The accumulation of market waste and coconut shells poses a significant environmental challenge, necessitating effective management strategies by both local governments and academic institutions. This study explores the conversion of organic market waste into Refuse-Derived Fuel (RDF) through a dry fermentation (peuyeumization) process using 5% EM4 bio-activator over a 21-day incubation period. Concurrently, coconut shells were carbonized to produce high-carbon Coconut Shell Charcoal (CSC). Both RDF and CSC, ground to a 100-mesh particle size, were utilized to produce cylindrical bio-briquettes (7 cm height, 3.6 cm outer diameter, 1.6 cm inner diameter) using a compaction method. Various RDF:CSC ratios (0:100, 25:75, 50:50, 75:25, and 100:0) were tested with three concentrations of tapioca starch adhesive (6%, 8%, and 10%). The quality of the resulting briquettes was evaluated based on the Indonesian National Standard (SNI 01-6235-2000), assessing parameters such as moisture content, ash content, density, fixed carbon content, and calorific value. Combustion characteristics were further examined through ignition time and combustion rate measurements. The optimal briquette was produced at a 25:75 RDF:CSC ratio with 6% adhesive, achieving a weight of 30 g, density of 0.46 g/mL, fixed carbon content of 75.51%, moisture content of 5.25%, ash content of 5.91%, calorific value of 6117.38 cal/g, ignition time of 63.78 minutes, and combustion rate of 1.55 g/min. These findings indicate that the bio-briquettes meet the calorific standard of young coal, supporting their potential use as an environmentally friendly alternative fuel.
Pengolahan Limbah Cair Industri Beauty dan Personal Care Menggunakan Metode Koagulasi dan Flokulasi Hakim, Rusnia Junita; Adelina, Dina; Ismet, Rhahmasari; Muttaqim, Maulana
Jurnal Teknologi Vol 25, No 2 (2025): Agustus 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i2.7018

Abstract

The beauty and personal care industry generates wastewater that poses a potential threat to the environment if not properly treated. As a small-scale industry, there is a need for an efficient wastewater treatment technology that requires minimal cost and land area. This study aims to analyze the characteristics of wastewater from the industry and evaluate the effectiveness of coagulation and flocculation processes in reducing pollutant levels. The jar test method was employed using varying doses of coagulant (PAC) and flocculant (anionic polymer) at concentrations of 60, 80, and 100 ppm for PAC, and 1–3 ppm for the polymer. Initial test results indicated that the parameters for TDS, TSS, pH, EC, and turbidity did not meet the effluent quality standards set by the Indonesian Ministry of Environment Regulation No. 5 of 2014. The optimum dosage was found to be 80 ppm PAC combined with 3 ppm anionic polymer, which reduced TSS from 1482 mg/L to 83 mg/L and turbidity from 3120 NTU to 20 NTU. The best reduction in EC was achieved with 100 ppm PAC and 3 ppm polymer, lowering EC from 3210 µS/cm to 399 µS/cm. All parameters, except for TDS, complied with the established effluent quality standards.
Konsentrasi Merkuri (Hg) pada Sedimen Amalgamasi yang Dibuang ke Badan Air dari Aktivitas Penambangan Emas Tradisional di Desa Tambang Sawah Kabupaten Lebong Mulyadi, Irwan; Indrawijaya, Budhi; Adlin, Irman Ansari
Jurnal Teknologi Vol 25, No 2 (2025): Agustus 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i2.7509

Abstract

Traditional gold mining activities in Tambang Sawah Village, Lebong Regency, Bengkulu Province, produce tailings waste with high concentrations of mercury (Hg). This waste is discharged directly into the Air Putih River without prior treatment. This research aims to measure mercury levels in the tailings and analyze the relationship between the quantity of discarded tailings and the Hg contamination levels in river sediments. Sampling was conducted following the JPHA method, and Hg level analysis was based on NOAA and ASTM guidelines. The results indicate that all tailings samples from 10 discharge points exceeded the mercury contamination threshold. The total estimated tailings discharged each week reached 1,600 kg from 40 miners. The highest concentrations were found at points with the most miners. A laboratory test on 10 tailing samples collected from discharge points along the Air Putih River showed that all samples contained mercury (Hg), with the highest concentration reaching up to 266 ppm.
Pengaruh Laju Alir dan Material Pipa Bersambung pada SP-V PT X terhadap Analisis Profil Aliran Fluida dengan Metode Computational Fluid Dynamic (CFD) Raihan, Raudhatul; Irwan, Irwan; Safitri, Aida
Jurnal Teknologi Vol 25, No 2 (2025): Agustus 2025
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v25i2.6727

Abstract

Piping system is a system that is widely used to move fluids, either liquid, gas, or a mixture of liquid and gas from one place to another, pipes have various sizes and cross-sectional shapes. Pipe branching is widely used in piping systems in industry, mining, and drinking water distribution. Fluid flow profiles and Pressure drop in pipes are very important to know in order to design piping systems. This study was conducted with the aim of determining through simulation the factors that influence the fluid flow profile and pressure drop in the PT X connected pipe with the help of the Computational Fluid Dynamics (CFD) application. The software used in this study is Autodesk Inventor, Autodesk Simulation CFD. the largest pressure drop occurs in the API 5L CS Grade B sch 80 pipe material with 150 L/hour of 14.2467 Psi. while the lowest pressure drop occurs in the API 5L CS Grade B sch 40 pipe material with 70 L/hour of 11.3882 Psi, this is in accordance with the theory that explains that the smaller the diameter of a pipe, the greater the pressure drop will be, due to the difference in inner diameter between the API 5L CS Grade B sch 40 and sch 80 pipe materials. While the largest Power Density occurs in the API 5L CS Grade B sch 40 pipe material with a pipe inner diameter of 6.065 inches of 98969.15297 W/m3. While the lowest Power Density occurs in the API 5L CS Grade B sch 80 pipe material with a pipe inner diameter of 5.6377 inches of 64404.690385 W/m3.