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Jurnal Ilmiah Teknik (JUIT)
Published by Asosiasi Dosen Muda Indonesia
ISSN : 28286936     EISSN : 28286901     DOI : https://doi.org/10.56127/juit.v1i1
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering
Jurnal Ilmiah Teknik adalah jurnal yang ditujukan untuk publikasi artikel ilmiah yang diterbitkan oleh Asosiasi Dosen Muda Indonesia dan di payungi Oleh Yayasan Dosen Muda Indonesia. Jurnal ini adalah jurnal Ilmu Teknik yang bersifat peer-review dan terbuka. Bidang kajian dalam jurnal ini termasuk sub rumpun Ilmu Teknik Mesin, Elektro, Kimia, Sipil, Metalurgi dan Teknik Industri. Jurnal Ilmu Teknik menerima artikel dalam bahasa Inggris dan bahasa Indonesia dan diterbitkan 3 kali setahun: Januari, Mei, September.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 143 Documents
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Evaluation of Shallow Groundwater Chemical Quality for Raw Water Supply in Bangkalan Regency, Indonesia Agus Sinario; Faradlillah Saves; Dika Ayu Safitri
Jurnal Ilmiah Teknik Vol. 5 No. 2 (2026): Mei: Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v5i2.2711

Abstract

Groundwater serves as the primary source of domestic water for many rural communities in Indonesia. However, increasing anthropogenic activities and environmental changes may alter groundwater quality, making periodic chemical quality assessment essential to ensure its suitability as a raw water source. Information regarding groundwater quality in Dusun Tambak Agung, Tanah Merah Laok Village, Bangkalan Regency, remains limited. Objective: This study aimed to evaluate the chemical quality of shallow groundwater as a raw water source based on the Regulation of the Indonesian Ministry of Health No. 2 of 2023. Methodology: A quantitative descriptive approach was employed by collecting groundwater samples from seven representative household wells. The samples were analyzed in an accredited laboratory to determine pH, nitrate (NO₃⁻), nitrite (NO₂⁻), hexavalent chromium (Cr⁶⁺), iron (Kristanto et al.), and manganese (Mn). The analytical results were compared with national drinking water quality standards, followed by groundwater suitability classification using the Sturges scoring approach and spatial evaluation through Geographic Information System (GIS). Findings: The laboratory analysis revealed that all groundwater samples complied with the established quality standards for the analyzed chemical parameters. Neutral pH values and relatively low concentrations of nitrate, nitrite, chromium, iron, and manganese indicate that the investigated groundwater is chemically suitable for use as a raw water source. The findings also suggest that groundwater quality in the study area is predominantly influenced by favorable hydrogeological conditions with limited evidence of anthropogenic contamination. Implications: The findings provide scientific evidence for groundwater resource management and support local governments in implementing routine groundwater quality monitoring, groundwater protection measures, and sustainable water resource planning in rural communities. Originality: This study provides updated baseline information on groundwater chemical quality at the village scale by integrating standardized laboratory analysis, groundwater suitability assessment, and GIS-based spatial evaluation. The proposed approach contributes practical knowledge for sustainable groundwater management and environmental decision-making in rural Indonesia.
Integrated Biorefinery Pathways for Organic Waste Valorisation: A Systematic Literature Review of Biological, Thermochemical, and Anaerobic Digestion Technologies Stephanus Benedictus Bera Liwun; Nastiti Siswi Indrasti; Suprihatin Suprihatin; Taufik Djatna
Jurnal Ilmiah Teknik Vol. 5 No. 2 (2026): Mei: Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v5i2.2866

Abstract

The increasing generation of organic and lignocellulosic waste has created significant environmental challenges, requiring sustainable and efficient waste management strategies. Biorefinery systems have emerged as a key approach within the circular bioeconomy framework, enabling the conversion of complex waste streams into value-added products such as biofuels, platform chemicals, animal feed, and fertilisers. Objective: This study aims to systematically review recent developments in biorefinery-based waste valorisation technologies and evaluate their environmental and technological performance within a circular bioeconomy perspective. Methods: This research employs a qualitative systematic literature review (SLR) approach. Data were collected from peer-reviewed journal articles indexed in Scopus, ScienceDirect, Web of Science, and Google Scholar. The analysis was conducted using narrative synthesis and comparative evaluation of biological, thermochemical, and hybrid biorefinery technologies published between 2015 and 2026. Results: The results indicate that Black Soldier Fly (BSF) bioconversion can reduce organic waste mass by approximately 50% while producing high-value protein and lipid products. Hydrothermal Carbonisation (HTC) effectively converts wet biomass into hydrochar at 180–280 °C. Decentralised anaerobic digestion systems show superior environmental performance compared to incineration, particularly in reducing Global Warming Potential (GWP) and Fossil Fuel Depletion Potential (FFP). Lignin valorisation demonstrates strong potential for producing aromatic chemicals, although it remains constrained by feedstock variability and processing challenges. Implications: The findings suggest that integrated biorefinery systems supported by Life Cycle Assessment (LCA) offer a more sustainable pathway for organic waste management compared to single-process technologies. However, scalability, feedstock heterogeneity, and process optimisation remain key challenges for industrial implementation. Originality: The originality of this study lies in its integrated comparative analysis of biological, thermochemical, and hybrid biorefinery technologies within a circular bioeconomy framework, combining environmental performance assessment and technological evaluation to provide a comprehensive perspective for sustainable waste management development.
Implementation of Laplacian-Based Image Sharpening on X-Ray Images Priyo Sarjono Wibowo; Ivan Maurits
Jurnal Ilmiah Teknik Vol. 5 No. 2 (2026): Mei: Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v5i2.2867

Abstract

X-ray imaging plays an essential role in modern medical diagnostics; however, the resulting images often suffer from low contrast and unclear edge structures. These limitations reduce anatomical visibility and may negatively affect diagnostic accuracy. Therefore, there is a need for a simple, effective, and computationally efficient image enhancement method that can improve X-ray image sharpness while preserving critical diagnostic information. Objective: This study aims to implement and analyze the Laplacian method for enhancing the sharpness of chest X-ray images using digital image processing techniques based on Python and OpenCV. The study also evaluates the effectiveness of the proposed method in improving the visibility of anatomical structures in radiographic images. Methodology: This research adopts a quantitative experimental approach based on computational implementation. The dataset consists of digital X-ray images processed through several stages, including image acquisition, grayscale conversion, Laplacian filtering, image sharpening, and result visualization. The entire implementation is conducted using Python and OpenCV in the Google Colab cloud computing environment. Data analysis is performed using a descriptive-visual approach by comparing original and enhanced images. Findings: The results show that the Laplacian method significantly improves edge visibility in X-ray images. Anatomical structures such as ribs, lung boundaries, and fine edge details become more distinguishable compared to the original images. Local contrast enhancement is also observed, indicating that high-frequency information is effectively amplified. However, a slight increase in noise is detected due to the sensitivity of the Laplacian operator to high-frequency components. Implications: The findings suggest that the Laplacian method can be effectively used as a lightweight preprocessing technique for medical image enhancement, particularly in cloud-based environments such as Google Colab. The method is suitable for educational purposes, research applications, and engineering systems that require low computational cost while maintaining effective image enhancement performance. Originality: The originality of this study lies in the development of a simple, reproducible, and cloud-based implementation framework for Laplacian-based X-ray image enhancement using Python and OpenCV. The main contribution is a lightweight computational approach that balances implementation simplicity with effective image sharpening performance.

Page 15 of 15 | Total Record : 143

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