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Infotekmesin
Published by Politeknik Negeri Cilacap
ISSN : INFOTEKMES     EISSN : 26859858     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering
INFOTEKMESIN is a peer-reviewed open-access journal with e-ISSN 2685-9858 and p-ISSN: 2087-1627 published by Pusat Penelitian dan Pengabdian Masyarakat (P3M) Politeknik Negeri Cilacap. The journal invites scientists and engineers to exchange and disseminate theoretical and practice-oriented in the various topics include, but not limited to Informatics, electrical Engineering, and mechanical Engineering.
Arjuna Subject : -
Articles 669 Documents
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Sistem Internet of Things untuk Pemantauan Suhu Reaktor Biogas secara Real-time Dewi Oktafian; Tommy Dwi Putra; Hadis Turmudi
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.3030

Abstract

This study developed an Internet of Things (IoT)-based system for real-time temperature monitoring of a household biogas reactor. Temperature fluctuations during anaerobic fermentation affect methanogenic microorganism activity and reduce biogas yield. The proposed system utilizes an ESP32 microcontroller, DS18B20 waterproof temperature sensor, LCD display, and Blynk application as a cloud-based monitoring platform. The study involved field observation, system design, implementation, and seven-day testing with a one-minute data logging interval. Results showed that the system operated stably without significant connection loss and provided consistent readings within the 31–33 °C mesophilic range, optimal for anaerobic digestion. The DS18B20 sensor achieved an accuracy of ±0.5 °C compared to a reference thermometer. The system enables operators to monitor fermentation conditions in real time via smartphone or local display, allowing faster response to temperature variations. This research demonstrates that IoT implementation is effective for enhancing temperature monitoring efficiency and offers potential for future automated temperature control development to support energy-independent rural communities. This study contributes to the design of a reliable, low-cost IoT monitoring system for household-scale biogas reactors.
Numerical Study of the Effect of  Notch Geometry (Standard, Elliptical, Diamond) on Excavator Bucket Tooth Strength Based on Finite Element Analysis Sutrisna, Sutrisna; Darmayani, Bayu Purnama Marwita; Prasetiyo, Angger Bagus
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.3032

Abstract

The use of excavators across industrial and mining sectors is critical, particularly for bucket tooth components that perform penetration and excavation. These components often undergo wear and tear due to repeated stress and abrasion. This study aims to analyze the influence of variations in bucket tooth notch types on stress, strain, deformation, and safety factors using the Finite Element Method. The variation of standard, elliptical, and diamond notch types in the Komatsu PC200 bucket tooth model was designed using Autodesk Inventor Professional 2025. The simulation results show that the elliptical notch type has a maximum stress value of 6.2893 MPa, a maximum strain of 0.000036465 ul, and a maximum deformation of 0.00266049 mm, which is better than the standard and diamond types. Meanwhile, the diamond type has the highest maximum stress of 7.8416 MPa and the lowest deformation of 0.00259299 mm. The highest safety factor was found in the elliptical type (6.91635), which indicates that this design is safer to use in heavy workload conditions. The results of this study show that the elliptical notch type design is more efficient and has the best resistance to workload, so that it can improve the service life and performance of bucket teeth. The applied load represents a static reference for comparative evaluation among geometries; therefore, the results reflect relative design performance.
Analisis Desain Central Body Undercarriage Alat Peraga Mini Excavator Zhugimada dengan Metode Elemen Hingga Prihadianto, Braam Delfian; Prayitno, Yosephus Ardean Kurnianto; Hasan, Dani Anggoro; Hidayat, Anisa Nurul; Adhim, Inn Aka La’ala Khuluqin
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.3036

Abstract

The availability of practical facilities in mechanical engineering vocational education requires representative yet economical learning media. The development of a mini excavator demonstration tool by the Mechanical Engineering Department of Sekolah Vokasi Universitas Gadjah Mada (SV-UGM) is an effective alternative to support practical and research activities because it reflects the function and mechanism of an excavator with efficient costs and dimensions. This study analyzes the central body undercarriage design of the Zhuigimada mini excavator demonstration tool using the finite element method with the aid of Computer Aided Engineering tools. The material used is American Society for Testing and Materials (ASTM) A572 with a load of 19,620 N. The simulation results show a maximum von Mises stress of 21.69 MPa, a total displacement of 0.0133 mm, and a safety factor of 15.9. These values ​​indicate that the undercarriage design has good strength and stiffness against static loads produces an undercarriage design that is safe, efficient, and representative of the excavator work system.
Optimalisasi Akurasi dan Stabilitas Analisis Sentimen Ulasan E-Commerce Indonesia melalui Fine-Tuning Transformer IndoBERT Alfina Latifa Maysara; Muljono
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.3037

Abstract

The rapid growth of e-commerce in Indonesia increases the need for sentiment analysis to accurately understand customer perceptions. This study evaluates the effectiveness of the Transformer-based IndoBERT model for sentiment classification on Indonesian e-commerce reviews and compares its performance with four RNN architectures (LSTM, GRU, BiLSTM, and BiGRU). The PRDECT-ID dataset containing 5,400 reviews was processed through preprocessing, an 80:20 data split, RNN training using 5-Fold Cross Validation, and IndoBERT fine-tuning under a hold-out scheme. Unlike previous studies that focused solely on RNN models with a maximum accuracy of 90.7%, this work expands the evaluation by integrating a Transformer-based approach. Results show that IndoBERT achieves 98.52% accuracy and F1-weighted score, outperforming the best RNN models by approximately 0.94–0.95. Paired T-Test and Wilcoxon tests yield p < 0,05, confirming that the performance improvements are statistically significant. IndoBERT demonstrates greater stability and effectiveness for Indonesian sentiment analysis.
Pengaruh Post Welding Heat Treatment (PWHT) Pada Friction Stir Welding Pada Material Aluminium AA5052/6061 Terhadap Sifat Mekanik dan Struktur Mikro Ari Putranto, Wahyu; Khaeroman, Khaeroman; Nuriyanis, Akhmad; Suharso, Arif Rakhman; Sirait, Evi
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.3056

Abstract

The development of technology in the maritime sector is very rapid in the manufacture of aluminum ships. Friction Stir Welding (FSW) is a green technology in the metal joining process. Post Welding Heat Treatment (PWHT) is one way to increase the loss of strength of the material connection after the FSW process. The purpose of this study was to determine the effect of FSW results before and after PWHT. Aluminum alloy (AA) series 5052 and 6061 were used as research materials because they are resistant to seawater. FSW parameters were spindle speed 1500 rpm (clockwise), travel speed 30 mm/min, tool depth 0.2 mm, and tool tilt 1o. PWHT parameters were heating the FSW material in a furnace to a temperature of 550°C (10, 30 minutes), water quenching, and artificial aging to a temperature of 180°C for 7 hours. The material was characterized by tensile testing, hardness, and micrography. The highest tensile strength and hardness values were 216 MPa and 68 HV, the smallest and uniform grain size in the weld zone and base metal areas were obtained at PWHT parameters of 30 minutes.
Analisis Pengaruh Suhu Ekstrusi dan Merek Produk terhadap Kualitas Biji Plastik Daur Ulang Limbah Botol Plastik Polyethylene Terephtalate (PET) Sukmawati; Rahayu, Theresia E.P.S.; Prasadi, Oto
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.3063

Abstract

Recycling plastic waste, especially Polyethylene Terephtalate (PET), into plastic pellets has great potential for producing environmentally friendly products. This study aims to recycle plastic waste from used mineral water bottles into plastic pellets using the pelletizing method, or the process of molding a material into pellets, with the independent variables being the brand of PET plastic bottle waste and temperature, and to determine their effect on the quality of the recycled plastic pellets produced. The quality parameters tested included moisture content, bulk density, total heavy metals Pb, PVC contamination, other contaminants, tensile strength, shape, color, and toxicity (LC50). The results showed that all parameters met the SNI 8424:2017 quality standards and had a fairly uniform color in the V120 variable, while in V135, only PVC contamination did not meet the standards, but for both variations, the shape was not uniform. The 72-hour LC50 test on all variations with a concentration of 6.5 kg/m3 showed low toxicity as it resulted in zero fish mortality.
Power Transformer Loading Prediction Using Linear Regression as a Basis for Remaining Life Estimation Sartika , Nike; Nuramalia, Siti Anissa; Nurmalasari, Rin Rin
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.3087

Abstract

Power transformers are one of the important components in an electric power system that is expected to operate optimally. Along with its use, some factors cause the depreciation of the transformer’s life, such as loading factors and environmental temperature. This study aims to predict loading based on historical loading data using linear regression to determine the depreciation and estimated life of the transformer. The research was conducted on three transformers in locations with different environmental temperatures. The test results showed that the linear regression model had a high R-Squared validation value of 0.949 for Transformer#1, 0.948 for Transformer#2, and 0.945 for Transformer#3. Then the MAPE error value obtained for the three transformers was low, namely 2.99%, 1.76%, and 4.69%. The prediction results are used to calculate the estimated remaining life of the transformer, which shows that Transformer#1 is expected to have a lifespan of <1 year by 2029, Transformer #2 in 2026, and Transformer#3 in 2025. The results showed that the load and ambient temperature significantly affect the transformer's life loss.
Trends in Interpretable and Lightweight Intrusion Detection Systems: A Bibliometric Analysis of Network Traffic Anomaly Detection Pramudya, Elkaf; Hafsarah Maharrani, Ratih; Abdussalam, Abdussalam; Ghozi, Wildanil
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.3093

Abstract

This study examines recent developments in interpretable and lightweight Intrusion Detection Systems (IDS) through a bibliometric analysis of 399 publications on network traffic anomaly detection from 2019 to 2025. Using a structured workflow comprising data collection, filtering, topic categorization, and visualization, the analysis reveals a significant increase in IDS-related publications, rising from fewer than 20 papers per year before 2019 to over 200 in 2025, reflecting growing interest in efficient and transparent security solutions. Topic categorization identifies IDS as the dominant research area, followed by Lightweight approaches, Anomaly Detection, IoT, and Explainability, with minimal contributions from other topics. Citation patterns confirm IDS and lightweight methods as the most influential themes. Journal analysis highlights Applied Sciences, Electronics, and IEEE Access as the leading publication venues. Overall, the findings indicate a clear shift toward IDS research emphasizing low computational cost, practical deployment, and model transparency, while also underscoring the ongoing need for unified benchmarks, realistic datasets, and evaluation frameworks to support broader adoption of interpretable and lightweight IDS technologies.
Studi Eksperimen Pengaruh Bentuk Saluran Pada Corrugated Collector Terhadap Performa Pengering Tomat Tenaga Surya Safitra, Arrad Ghani; Diana, Lohdy; Gamar, Farida; Astin, Novita; Kusuma, Diki Candra; Sasongko, Rio Bagus
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.3094

Abstract

Solar Air Heaters (SAHs) are a strategic solution to mitigate post-harvest losses of horticultural commodities caused by inefficient conventional drying. This study aims to analyze the effect of serpentine absorber channel geometries integrated with Fresnel lenses on collector thermal performance and drying effectiveness. The experimental method involved testing three absorber channel cross-sections—triangular, rectangular, and trapezoidal—under outdoor conditions. The results indicate that the trapezoidal design offers superior thermal performance compared to other variations. The trapezoidal collector produced a maximum outlet air temperature of 88.5°C, a useful heat gain of 1,744.49 Watts, and a thermal efficiency of 50%. Application to tomato drying demonstrated that the system reduced drying time by half compared to open sun drying and significantly lowered product moisture content. This study concludes that integrating a trapezoidal absorber with a Fresnel lens effectively enhances the performance of active solar drying systems.
Prediksi Risiko Depresi Berdasarkan Data Demografis dan Psikososial menggunakan Metode Ensemble Learning dengan Pendekatan Stacking Arwan Mangli; Noora Qotrun Nada; Mega Novita
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.3102

Abstract

Depression is a mental health problem with high prevalence that requires accurate and reliable computational-based prediction systems to support early detection. This study proposes a depression risk prediction architecture based on a stacking ensemble approach incorporating an out-of-fold (OOF) mechanism to prevent data leakage during meta-feature generation. The model combines Support Vector Machine and XGBoost as base learners, with Logistic Regression employed as the meta-learner. A public Depression Professional Dataset is processed using a stratified split strategy, class balancing on the training data through SMOTE, and feature standardization to enhance training stability. Experimental results demonstrate that the proposed approach achieves superior performance with an accuracy of 0.99, precision of 0.91, recall of 1.00, and an F1-score of 0.95, along with consistent detection capability for the minority class. These findings confirm that the systematic integration of OOF stacking and SMOTE improves model sensitivity while reducing false negative errors, making it suitable for the development of artificial intelligence–based mental health screening systems.

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