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INTEK: Jurnal Penelitian
Published by Politeknik Negeri Ujung Pandang
ISSN : 23390700     EISSN : 26155427     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Engineering
INTEK is a journal managed by the Journal and Publication Development Unit of Ujung Pandang State Polytechnic, which is published twice a year, in April and October. The journal INTEK has also been indexed. The INTEK Journal accepts research scripts in the fields of technology and engineering such as: Electrical, Mechanical, Civil and Chemical Engineering.
Arjuna Subject : Umum - Umum
Articles 217 Documents
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Investigasi Sifat Mekanik terhadap Perbedaan Media Pendingin pada Proses Induction Hardening Baja AISI 1015 Azmy, Ilham; Adhitya Muhamadika , Chandra
INTEK: Jurnal Penelitian Vol 12 No 1 (2025): April 2025
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v12i1.5322

Abstract

AISI 1015 steels have been vigorously used to numerous automotive parts. Unfortunately, it has several mechanical shortcomings due to poor hardness, wear resistance, and strength. To tackle its crucial problem, the AISI 1015 steels have been treated by induction hardening treatment at 850 oC which subsequently cooling to the ambient temperature using different cooling media of water, salt bath, and oil. The as-prepared AISI 1015 steels were then investigated its mechanical properties involving spectrometry, microstructure observation, hardness, wear, and tensile test. The AISI 1015 treated steels after induction hardening in water cooling media exhibited intriguing microstructure of vast pearlite encircle ferrite matrix. The sample also garnered significant enhancements of hardness, wear resistance, and tensile properties. These superior mechanical characteristics are believed to be catered for the induction treatment using water cooling media which boost crystalline structure transformation deliberately. Therefore, this research affords significant promise for improved mechanical properties of the AISI 1015 steels.
Analysis of Spindle Speed Influence on Surface Roughness and HSS-Co Tool Vibration in The Turning of ST 41 Steel Using the Taguchi Method Patengko, Armin Frayatno; Palung, Musa Bondaris; Nitha, Nitha
INTEK: Jurnal Penelitian Vol 13 No 1 (2026): April 2026
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v12i2.5923

Abstract

Surface roughness and tool vibration are critical parameters in machining, as they directly influence product quality and tool life. This study investigates the effect of spindle speed on surface roughness and the vibration velocity of an HSS-Co (5% cobalt) cutting tool during the turning of ST 41 steel. The Taguchi method was applied using an L8 orthogonal array and Signal-to-Noise (S/N) Ratio analysis to determine optimal cutting conditions, while Analysis of Variance (ANOVA) was used to identify the most influential factor. Turning experiments were conducted on a conventional lathe with spindle speeds varying from 100 to 700 rpm and a constant depth of cut of 0.5 mm. Surface roughness was measured using a surface roughness tester, and tool vibration was recorded with a vibrometer. The experimental results show that higher spindle speeds consistently reduce surface roughness, indicating improved machining quality. The lowest roughness value of 9.31–9.32 µm was achieved at a vibration velocity of 19.43 mm/s, whereas the highest roughness of 21.62 µm occurred at a vibration velocity of 5.81 mm/s. Taguchi analysis confirms that spindle speed is the dominant factor influencing both surface roughness and tool vibration stability, as reflected by significant variations in S/N Ratio across the tested levels. Overall, this study demonstrates the effectiveness of the Taguchi method for optimizing machining parameters in conventional turning. The findings provide practical insights into selecting spindle speeds that enhance surface quality while maintaining cutting tool stability during the turning of ST 41 steel with an HSS-Co tool.
Development of a Current Signal Based Model for High Impedance Fault Identification in Power Systems Syarifuddin, Andi; Nawir, Muhammad; Amelya Indah Pratiwi; Hariani Ma’tang Pakka
INTEK: Jurnal Penelitian Vol 13 No 1 (2026): April 2026
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v13i1.5995

Abstract

High-impedance faults (HIFs) generate low-magnitude, highly irregular arcing currents that closely resemble normal load behavior, causing conventional overcurrent-based protection to fail in their identification. This study proposes an adaptive current-signal correlation model designed to detect HIFs using time-domain waveform similarity analysis. The method utilizes a band-pass filtered current waveform, half-cycle window segmentation, and a correlation measurement against a reference pattern bank derived from varying ignition-angle scenarios. An adaptive threshold mechanism is introduced to improve robustness against noise, switching transients, and load fluctuations. The proposed model is validated through MATLAB/Simulink simulations and Real-Time Digital Simulator (RTDS) experiments, representing near-real operating conditions of distribution feeders. Results demonstrate a detection accuracy of 97.69%, false alarm rate below 1.5%, and a detection time within one cycle (20 ms). Compared to harmonic, wavelet, and ANN-based methods, the proposed algorithm shows superior speed, computational efficiency, and compatibility with existing current-based relay infrastructures. This approach enables practical field implementation without requiring additional sensors or complex feature extraction.
Bahasa inggris Syahrisal, Syahrisal; Sirman, Mahadir; Habibi, Muhammad; Arjani, Nany; Nur, Rusdi; Nurhidayanti, Nurhidayanti
INTEK: Jurnal Penelitian Vol 13 No 1 (2026): April 2026
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v13i1.6003

Abstract

The machining process, especially on a lathe, is greatly influenced by various factors that determine the final surface quality of the workpiece. One of the main factors that influences this quality is the type of cutting tool material and the spindle rotation speed (RPM). This study aims to analyze the effect of variations in the type of cutting tool material and spindle rotation speed on the surface roughness level of the turning results on low-carbon steel materials. The experimental method used is the Taguchi experimental design with an orthogonal approach. L9 array to identify factors that affect the surface quality of machining results efficiently. The independent variables tested were spindle rotation speed at three levels (260, 290, and 450 RPM) and the type of cutting tool material, consisting of three types, namely HSS, Carbide, and Diamond. The results showed that the type of cutting tool material had a more significant effect on surface roughness than the spindle rotation speed. Carbide cutting tools produced the lowest surface roughness, followed by HSS and Diamond. The optimal combination to minimize surface roughness was the use of Carbide cutting tools at a spindle rotation speed of 450 RPM, which produced a surface roughness of about 5.612 µm. Although the linear regression analysis did not show high statistical significance, the model remained diagnostically valid based on the residual test. This study provides an important contribution to the selection of optimal machining parameters to improve the surface quality of turning results in the manufacturing industry.
Techno-Economic Optimization of Rooftop Photovoltaic Systems Using Genetic Algorithm for Government Building Kemenko 3 in Nusantara Capital City Sapruddin, Ayu Fitriah; Muhammad Yusuf Yunus; Dieta Wahyu Asry Ningtias; Nurriza Kholifatulloh Hasanah; Diyono, Diyono
INTEK: Jurnal Penelitian Vol 13 No 1 (2026): April 2026
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v13i1.6351

Abstract

Rooftop photovoltaic (PV) systems installed on government buildings play an important role in supporting the energy transition and reducing carbon emissions, particularly in rapidly developing urban areas. However, conventional rooftop PV system designs are typically based on deterministic simulations that focus primarily on maximizing energy production, while technical and economic performance indicators are rarely optimized simultaneously. As a result, many installations may experience suboptimal system sizing, lower self-consumption, and higher energy costs. This study proposes a techno-economic optimization framework for an on-grid rooftop PV system installed at Government Building Kemenko 3 in the Nusantara Capital City (IKN), Indonesia. The proposed approach integrates PVsyst-based baseline simulation with a Genetic Algorithm (GA) implemented in Python to optimize key design variables, including module tilt angle, azimuth angle, and system capacity. The optimization simultaneously considers multiple performance indicators, namely annual energy production, self-consumption rate (SCR), self-sufficiency rate (SSR), and the Levelized Cost of Energy (LCOE). The optimization results indicate that the optimal configuration is achieved with a tilt angle of 1.09° and an azimuth angle of 8.58°, resulting in an installed capacity of 79.80 kW and an annual energy production of 164,114.63 kWh. The optimized system achieves an LCOE of 0.0590 USD/kWh, with an SCR of 72.76% and an SSR of 51.85%, demonstrating efficient utilization of locally generated solar energy. These results confirm that GA-based optimization can significantly improve both the technical performance and economic competitiveness of rooftop PV systems, providing a practical framework for optimizing PV deployment in government buildings in tropical regions.
Calculating Porosity and Permeability Values to Assess Pore Distribution with the Mercury Injection Capillary Pressure Technique Eko Prastio
INTEK: Jurnal Penelitian Vol 13 No 1 (2026): April 2026
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v13i1.6355

Abstract

This research focuses on determining the values of porosity and permeability in rocks by examining pore distribution through the Mercury Injection Capillary Pressure method. This technique operates on the concept of capillary pressure, where mercury is forced into a rock specimen under increasing pressure to analyze the size and arrangement of its pores. The data gathered from these measurements enables the calculation of effective porosity and absolute permeability by utilizing the Washburn and Katz-Thompson formulas. Findings indicate that variations in porosity and permeability are affected by factors such as rock texture, grain dimensions, and the connectivity between pores. Rocks with evenly distributed pores exhibit greater permeability compared to those with poorly connected pore structures. Overall, the MICP technique has demonstrated its effectiveness in delivering a quantitative understanding of pore microstructures and can be effectively utilized for reservoir characterization within the field of petroleum geology.
Application of the Water-Supported Deep-Frying System for Extending Oil Service Life and Mitigating Lipid Degradation in Small- Scale Commercial Vegetable Crisp Rice Panyoyai, Naksit; Paramita, Vilia
INTEK: Jurnal Penelitian Vol 13 No 1 (2026): April 2026
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v13i1.6385

Abstract

Deep-frying is a long-established food processing method where food is fully submerged in hot oil. This process ensures uniform heat distribution, allowing the food to cook simultaneously from all sides [1]. High heat rapidly evaporates surface moisture, preventing excessive oil absorption and creating a dry, crispy, golden-brown crust. Proper temperature control ensures quick cooking and a crisp yet moist interior, ideal for foods like French fries or fried chicken. Crucially, use oil with a high smoke point and good heat stability. Avoid low temperatures (which cause greasiness) and high temperatures (which cause burning) and never reuse frying oil multiple times due to degradation and health risks [2]. In the industrial food sector, frying is divided into two systems, the Continuous Frying System and the Batch Frying System.

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