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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 148 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.
Quality Control of Plastic Pallet Products Using the Taguchi Method to Reduce Product Rejection: A Case Study on the Sound 1800 Machine Febiola Alyza Kusuma; Siti Muhimatul Khoiroh
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.v5i2.2755

Abstract

PT Group Cemerlang Plastindo continues to experience product rejection in the plastic pallet production process using the Sound 1800 injection molding machine. This condition reduces product quality, increases material waste, and decreases production efficiency, indicating the need for effective quality control and process parameter optimization. Objective: This study aims to identify the dominant types of product rejection, analyze the factors causing product defects, and determine the optimal combination of process parameters to reduce the reject rate of plastic pallet products. Methods: This study employed a quantitative approach using the Taguchi method supported by Statistical Quality Control (SQC) tools, including check sheets, histograms, Pareto diagrams, control charts, and fishbone diagrams. Data were collected from production records between January 2025 and January 2026, direct observations, and interviews with production personnel. Results: The results showed that 2,499 products were rejected from a total production of 107,669 plastic pallets. The dominant defects were short shot (998 units), uneven coloring (708 units), and crack (505 units). The application of the Taguchi method reduced the number of rejected products from 383 units to 332 units, corresponding to a 0.39% reduction in the reject ratio, indicating that process parameter optimization improved production quality. Implications: The findings demonstrate that integrating Statistical Quality Control tools with the Taguchi method provides an effective approach for identifying dominant defects, determining optimal process parameters, reducing production waste, and improving product quality consistency. The recommended parameter settings can serve as a practical reference for quality improvement in industrial injection molding operations. Originality: The originality of this study lies in the integration of Statistical Quality Control tools and the Taguchi method to optimize process parameters for plastic pallet production on the Sound 1800 injection molding machine using actual industrial production data. This integrated approach provides a practical quality improvement strategy for reducing the three dominant rejection types under real manufacturing conditions.
Design of a Shallot Peeling Machine for EA Kitchen MSME Using Voice of Customer, Quality Function Deployment, and Anthropometric Analysis Indah Putri Herlambang; Wiwin Widiasih
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.v5i2.2807

Abstract

Manual shallot peeling remains a time-consuming and labor-intensive activity in small-scale food-processing enterprises. Therefore, appropriate peeling equipment is needed to improve efficiency while remaining suitable for the operational conditions of micro, small, and medium enterprises (MSMEs). Objective: This study aimed to develop a user-oriented shallot peeling machine design that meets the operational, ergonomic, and economic requirements of EA Kitchen, a food-processing MSME located in Driyorejo, Gresik, Indonesia. Methods: This study employed a product design and development approach. Data were collected through field observations, interviews, questionnaires, and anthropometric measurements. User requirements were identified using the Voice of Customer (VoC) approach and translated into technical priorities through Quality Function Deployment (QFD) and the House of Quality (HoQ). Anthropometric analysis was used to determine the appropriate machine height, while preliminary cost analysis was conducted to estimate fabrication requirements. Results: The results showed that design was the highest-priority customer attribute, with a weight of 47.3%, followed by quality at 31.5% and safety at 21.0%. Large capacity was identified as the most important technical response at 31.49%, followed by ease of maintenance at 28.03%, ease of operation at 21.80%, and material selection at 18.69%. The proposed machine height was 83 cm, while the preliminary cost of the identified main components was IDR 900,000. Implications: The findings provide a practical basis for developing a shallot peeling machine that is more compatible with the production capacity, ergonomic requirements, operational simplicity, and financial limitations of small-scale food-processing enterprises. Originality: The originality of this study lies in the integration of VoC, QFD, anthropometric considerations, and cost evaluation into a single user-centered design framework specifically applied to the development of shallot-peeling equipment for MSMEs.
Consumer Preference-Based Redesign of Vanish Detergent Packaging Using Conjoint Analysis Rifky Maulana; Muhammad Daffa Fadhlur Rohman; Candra Herawan; Jeims Strong Saragih; Arya Akidnaram; Rizqi Wahyudi
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.v5i2.2847

Abstract

Packaging is an essential component of household cleaning products because it influences consumer convenience, product safety, storage efficiency, and repeated product use. However, detergent packaging redesign based on consumer preferences, especially by integrating functional and ergonomic attributes, remains limited. Objective: This study aims to redesign Vanish detergent packaging by identifying the most influential packaging attributes and determining the optimal packaging configuration using Conjoint Analysis. Methodology: This study used a quantitative approach with Conjoint Analysis. Primary data were collected through questionnaires distributed to 50 respondents who had experience using laundry cleaning products. Five packaging attributes were evaluated: package type, content size, package design, closure system, and ease of use. Consumer preferences were analyzed by estimating utility values and the relative importance of each attribute. Findings: The results showed that the closure system was the most influential attribute, with an importance value of 32%, followed by package type (25%), ease of use (20%), package design (13%), and content size (10%). The ziplock closure system obtained the highest utility value (+1.42), followed by pouch ziplock packaging (+1.18) and bright package design (+0.96). The most preferred packaging configuration was a bright pouch ziplock package with a content size of 900 mL to 1 L and a resealable ziplock closure system. Implications: The findings suggest that detergent packaging redesign should prioritize functional and ergonomic attributes, particularly resealability, practicality, and storage safety, to improve consumer satisfaction and product competitiveness. Originality: This study contributes to packaging design research by applying Conjoint Analysis to identify the optimal combination of functional, ergonomic, and visual attributes for Vanish detergent packaging.
Analysis and Improvement of Rubber Roll Production Line Balancing Using Ranked Positional Weight (RPW) and Region Approach Methods at CV. ABC Fatur Rahman; Wiwin Widiasih
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.v5i2.2901

Abstract

The rubber roll production line at CV. ABC exhibited considerable workload imbalance among workstations, particularly at the steam and turning processes. Differences in processing times resulted in potential bottlenecks, high balance delay, and inefficient utilization of available production-line capacity. Objective: This study aims to analyze the existing rubber roll production-line balance and compare the Ranked Positional Weight (RPW) and Region Approach methods to identify a workstation configuration with improved line utilization and more uniform workload distribution. Methodology: A quantitative engineering case-study approach was applied. Primary data were collected through direct observation, interviews, documentation, and stopwatch time study, while secondary data were obtained from company production records and relevant literature. Processing-time data, precedence relationships, performance ratings, and allowances were analyzed to determine work-element times and production-line characteristics. The existing configuration was evaluated using line efficiency, balance delay, idle time, and smoothness index. Work elements were subsequently reallocated using RPW and the Region Approach, and the resulting production-line performances were compared. Findings: The existing production line consisted of six workstations with a line efficiency of 52%, a balance delay of 48%, and a smoothness index of 214.04. Both RPW and the Region Approach reduced the number of workstations to five and increased line efficiency to 70%, while balance delay decreased to 30%. However, RPW produced a smoothness index of 117.4179, considerably lower than the 223.29228 obtained using the Region Approach. The RPW configuration also resulted in a total idle time of 204.38 min, indicating improved utilization of available workstation capacity. Implications: The findings provide an engineering basis for reorganizing work-element allocation in rubber roll production. The proposed RPW configuration can support more uniform workstation loading and improve production-flow efficiency, particularly in manufacturing processes with substantial variation in processing times. Originality: This study provides a direct comparison between cumulative positional-weight allocation and precedence-region grouping under the same rubber roll production conditions. The results demonstrate that identical line efficiency and balance delay do not necessarily indicate equivalent workload uniformity, highlighting the importance of smoothness index as a complementary criterion for selecting a line-balancing configuration.
Assessing Conversational AI Usability: A System Usability Scale Evaluation of Dola AI Arimbi Kurniasari; Navizha AS Velisya
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.v5i2.1324

Abstract

The rapid development of conversational artificial intelligence has increased the need to evaluate not only system functionality but also the quality of user interaction. Dola AI is an AI-based conversational assistant designed to support users through natural-language interaction; however, widespread use does not necessarily indicate satisfactory usability. Objective: This study aims to evaluate the perceived usability of Dola AI using the System Usability Scale (SUS) and to determine its overall level of user acceptance. Method: A quantitative descriptive approach was employed involving 50 Dola AI users. Data were collected through an online questionnaire containing the ten standard SUS items measured using a five-point Likert scale. The instrument was evaluated through validity and reliability testing, followed by standardized SUS score calculation and interpretation using adjective-rating and acceptability classifications. Findings: All questionnaire items met the validity criterion, while the instrument obtained a Cronbach’s alpha of 0.6827, indicating adequate internal consistency based on the criterion adopted in the study. The overall SUS score was 69.6, placing Dola AI in the “OK” adjective category and the “Marginal” acceptability range. These results indicate that Dola AI provides an adequate level of perceived usability but has not yet reached a clearly high level of user acceptance.  Implications: The findings provide practical evidence for improving Dola AI, particularly in terms of interaction consistency, perceived complexity, learnability, and user confidence. The study also demonstrates the applicability of SUS as a concise standardized instrument for evaluating conversational AI interfaces. Originality: This study provides a standardized empirical usability assessment of Dola AI, for which quantitative usability evidence remains limited. The findings establish an initial usability benchmark that can support future comparative studies and further evaluation of conversational AI applications using broader samples and complementary usability measures.

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