cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Tommy
Contact Email
lpkdgeneration2022@gmail.com
Phone
+6285695565558
Journal Mail Official
tommy@admi.or.id
Editorial Address
Perumahan Bumi Dirgantara Permai Blok CL NO 5, Jl. Durian, Jati Asih, Bekasi, Provinsi Jawa Barat, 17421
Location
Kab. bekasi,
Jawa barat
INDONESIA
International Journal Science and Technology (IJST)
Published by Asosiasi Dosen Muda Indonesia
ISSN : 28287223     EISSN : 28287045     DOI : https://doi.org/10.56127/ijst.v1i2
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
International Journal Science and Technology (IJST) is a scientific journal that presents original articles about research knowledge and information or the latest research and development applications in the field of technology. The scope of the IJST Journal covers the fields of Informatics, Mechanical Engineering, Electrical Engineering, Information Systems and Industrial Engineering. This journal is a means of publication and a place to share research and development work in the field of technology.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 4 Documents
 1 
Search results for , issue "Vol. 5 No. 1 (2026): March: International Journal Science and Technology" : 4 Documents clear
Design and Development of a Press Machine for Biobriquettes Made from Patchouli Distillation Waste and Rice Husk Tandiapa, Vincen; Pantow, Rifan; Simanjuntak, Simon; Manoppo, Friani; Raphaela, Josephine; Saroinsong, Tineke; Mekel, Alfred Noufie; Motulo, Firmansyah Reskal; Muaja, Estrela Bellia
International Journal Science and Technology Vol. 5 No. 1 (2026): March: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v5i1.2378

Abstract

The increasing availability of biomass residues such as patchouli distillation waste and rice husk presents an opportunity for renewable energy production; however, their utilization remains limited due to the lack of efficient and safe small-scale processing equipment. Developing practical briquette production systems is therefore essential to support sustainable energy use at household and MSME levels. Objective: This study aims to develop and evaluate a hydraulic briquette press capable of producing biomass briquettes from patchouli distillation waste and rice husk while enhancing operational safety, maintenance efficiency, and usability for small-scale production. Method: The research employed an engineering research-and-development approach involving machine design, prototype fabrication, and functional testing. Data were collected through technical observation and performance monitoring of pressing cycles, followed by descriptive analysis to evaluate operational functionality, safety response, and cleaning effectiveness. Findings: The developed press integrates a pressure-sensor-based safety system and an automatic pneumatic cleaning mechanism. The machine is capable of forming six briquettes per cycle at an operating pressure of approximately 50 kg/cm². The integrated systems functioned as intended, supporting stable operation, reducing manual cleaning needs, and improving operational safety. Implications: The proposed design demonstrates potential for improving briquette production efficiency and reliability in small-scale applications. By reducing downtime and enhancing safety, the system can support wider adoption of biomass briquette technology and contribute to community-level renewable energy utilization. Originality/Value: This study offers a novel integration of hydraulic pressing, automatic pneumatic cleaning, and pressure-based safety monitoring within a single multi-cavity briquette press, providing a practical and user-oriented solution for transforming agricultural waste into renewable energy products.
Industrial Artificial Intelligence Methods for Fabric Color-Defect Detection in Textile Manufacturing Kim, Byung-ho; Jae, Hee-Sung
International Journal Science and Technology Vol. 5 No. 1 (2026): March: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v5i1.2600

Abstract

Color-related fabric defects such as shade variation, off-shade, discoloration, and color bleeding remain challenging to detect consistently in textile manufacturing because camera-based inspection is highly influenced by illumination variability, fabric reflectance, and domain shift across production batches. These limitations often reduce the reliability of automated inspection systems and highlight the need for a systematic synthesis of existing Industrial Artificial Intelligence approaches. Objective: This study aims to systematically review and synthesize Industrial Artificial Intelligence methods for fabric color-defect detection to identify methodological trends, evaluation practices, and research gaps, as well as to explain why these approaches are important for improving reliability in industrial quality control. Method: The research employs a Systematic Literature Review design, collecting peer-reviewed studies through structured database searches followed by PRISMA-guided screening and eligibility assessment. The selected studies are analyzed using comparative narrative synthesis and standardized coding of method types, color representation, illumination handling strategies, datasets, and evaluation metrics. Findings: The review reveals four dominant methodological groups: classical computer vision, supervised deep learning, reconstruction-based anomaly detection, and feature-space anomaly or hybrid approaches. Across these approaches, robust performance consistently depends on a triadic design principle consisting of color-consistent representation, illumination robustness, and learning strategies aligned with label availability. The study also identifies a key evaluation gap where conventional vision metrics are rarely complemented by perceptual color-difference measures. Implications: The findings suggest that future research and industrial implementation should focus on developing color-calibrated datasets, adopting dual-axis evaluation frameworks that include perceptual color metrics, and validating models under varying illumination and fabric conditions to enhance real-world reliability. Originality/Value: This study provides an original contribution by proposing a color-defect–focused operational framework that integrates color science principles with Industrial AI method selection and deployment constraints, offering clearer guidance than previous reviews that primarily addressed structural textile defects.
Analysis of Natural Stone Wall Function Index Using Fuzzy Building Service Life (FBSL) Velantika, Griselda Junianda; Sari, Ayu Fatimah; Putri, Karina Meilawati Eka; Widowati, Elok Dewi
International Journal Science and Technology Vol. 5 No. 1 (2026): March: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v5i1.2612

Abstract

Natural stone wall claddings are widely used in residential buildings, but their functional performance often declines earlier than the building’s structural design life due to environmental exposure and installation-related deterioration. Objective: This study aims to quantify the functional condition of natural stone wall claddings using a Function Index (FI) so that maintenance decisions can be made more consistently and objectively. Methodology: A quantitative case-study approach was applied to five residential buildings in Situbondo Regency. Data were collected through field observations and building-age documentation, assessed using expert judgment, and analyzed using a fuzzy inference-based Fuzzy Building Service Life (FBSL) model to obtain a crisp FI score for each building. Findings: The results indicate that one building was classified as moderate/fair (FI = 56), while four buildings were classified as poor (FI = 0–23), implying higher maintenance urgency. When linked to the estimated Remaining Service Life (RSL) under an assumed 50-year design life and a 2020 observation year, an exploratory exponential relationship between FI and RSL was obtained (y = 12.177e0.3243x; R² = 0.7444). Implications: The FI can serve as a practical decision-support indicator to prioritize immediate repair, scheduled maintenance, or routine monitoring for façade components, even when the building still has considerable remaining design life. Originality: This research contributes by integrating a fuzzy-based functional condition index for natural stone claddings with a remaining service life perspective in a residential case-study context, bridging qualitative inspection outcomes with interpretable maintenance planning.
Circular Economy of Source-Separated Organic Waste in New York City Barua, Santunu
International Journal Science and Technology Vol. 5 No. 1 (2026): March: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v5i1.2618

Abstract

New York City (NYC) generates more than one million tons of compostable organic waste annually, most of which is still landfilled, contributing to greenhouse gas emissions and resource loss. Objective: This review aims to examine the circular economy potential of source-separated organic waste (SSOW) in NYC, with a primary focus on the residential curbside organics program. Method: This study uses a systematic literature review approach by synthesizing peer-reviewed articles, government reports, program documents, and policy records related to composting, anaerobic digestion (AD), community composting, life-cycle assessment (LCA), and NYC’s regulatory framework. Findings: The findings show that landfilling organic waste produces nearly 400 kg CO₂e per tonne, whereas composting generates net negative emissions of approximately −41 kg CO₂e per tonne and dry AD for renewable natural gas yields −36 to −2 kg CO₂e per tonne. Although NYC’s mandatory curbside composting program was fully enforced in April 2025 and collected more than 30,000 tons of organics in 2024, residential capture rates remain below 5%, indicating persistent challenges in infrastructure, public education, contamination control, and multi-family building compliance. Implications: These results imply that an integrated system combining composting, AD, and community composting can improve resource recovery, climate performance, and social participation. Originality: The originality of this review lies in its integrated analysis of technical, environmental, regulatory, and community dimensions of SSOW management within a single circular economy framework, providing a policy-relevant perspective for advancing zero-waste strategies in dense metropolitan contexts.

Page 1 of 1 | Total Record : 4

 1 

Filter by Year

2026 2026


Reset
Filter By Issues
All Issue Vol. 5 No. 1 (2026): March: International Journal Science and Technology Vol. 4 No. 3 (2025): November: International Journal Science and Technology Vol. 4 No. 2 (2025): July: International Journal Science and Technology Vol. 4 No. 1 (2025): March: International Journal Science and Technology Vol. 3 No. 3 (2024): November: International Journal Science and Technology Vol. 3 No. 2 (2024): July: International Journal Science and Technology Vol. 3 No. 1 (2024): March: International Journal Science and Technology Vol. 2 No. 3 (2023): November: International Journal Science and Technology Vol. 2 No. 2 (2023): July: International Journal Science and Technology Vol. 2 No. 1 (2023): March: International Journal Science and Technology Vol. 1 No. 3 (2022): November: International Journal Science and Technology Vol. 1 No. 2 (2022): July: International Journal Science and Technology Vol. 1 No. 1 (2022): March: International Journal Science and Technology More Issue