cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mochamad Nashrullah
Contact Email
Nashrul.id@gmail.com
Phone
+6285745063538
Journal Mail Official
Nashrul.id@gmail.com
Editorial Address
Kavling Banar, Pilang, Sidoarjo, Jawa Timur
Location
Unknown,
Unknown
INDONESIA
IJOT
Published by Research Parks Publishing
ISSN : 26157071     EISSN : 26158140     DOI : https://doi.org/10.31149/ijot.v4i5
Core Subject : Science, Engineering,
Automotive Engineering Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
International Journal on Orange Technologies (IJOT) is an online international peer-reviewed journal that publishes high-quality original scientific papers, short communications, correspondence, and case studies in areas of research, development, and applications of orange technology and engineering. Review articles of current interest and high standards may be considered. Only those manuscripts are considered for publication, the contents of which have not been published and are not being considered for publication in any other journal. The journal focuses on various learning and investigation areas to reach better excellence in research development as a whole.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 845 Documents
 81   82   83   84   85 
Agrotechnical and Operational-Technological Indicators of Disk Harrows S.Zh, Bekzhanov; M.K, Bisenov; A.E, Zhusypbekova
International Journal on Orange Technologies Vol. 7 No. 3 (2025): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v7i3.5575

Abstract

One of the key elements of grain crop cultivation technology is soil cultivation, which accounts for up to 30% of the total costs of growing agricultural crops. Therefore, the development of new and improvement of existing tillage tools is a highly pressing issue. The tillage system should be aimed at creating the soil structure so that the conditions for the growth and development of crops are most favorable in each zone. Disc harrows are the most widely used tools for surface and shallow tillage, loosening the topsoil, leveling the field surface, breaking up the soil crust, crumbling clods of soil, and destroying weeds, as well as the application of seeds and fertilizers in accordance with agrotechnical requirements. This article examines the agrotechnical, operational and technological performance of the BDM-4x4R disc harrow and the classic BDT-3 disc harrow when plowing rice crop rotation fields.
Adaptive Traffic Signal Control Based on Deep Reinforcement Learning with Edge Computing Scheme to Overcome The Surge in Vehicle Volume Post-Pandemic: A Critical Review of The Model and Implementation Challenges Zulfadhli Zulfadhli; Syarwan Syarwan; Defry Basrin
International Journal on Orange Technologies Vol. 8 No. 1 (2026): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v8i1.5670

Abstract

Fundamental changes in urban mobility patterns have led to an unpredictable and non-stationary surge in vehicle volume, driven by Work From Anywhere policies and a significant increase in private vehicle usage and ride-hailing services. Consequently, a new paradigm integrating artificial intelligence with advanced computing infrastructure is required. This study constitutes a literature review aimed at providing a comprehensive critical analysis of Deep Reinforcement Learning models and Edge Computing schemes within the context of Adaptive Traffic Signal Control, with particular focus on implementation challenges in the new normal mobility era. The findings reveal four primary insights. First, Multi-Agent Deep Reinforcement Learning architectures incorporating communication mechanisms based on Graph Neural Networks demonstrate superior performance in multi-intersection scenarios, yet remain vulnerable to distributional shift phenomena caused by non-stationary travel pattern changes. Second, Edge Computing theoretically reduces latency and enhances system resilience to network failures, although its deployment is constrained by computational resource limitations and energy consumption issues on edge devices operating in extreme intersection environments. Third, an overreliance on simulation data from SUMO or VISSIM introduces significant validity gaps when models are applied to real-world mobility dynamics influenced by heterogeneous data sources such as probe vehicles and loop detector sensors. Fourth, implementation barriers are multidimensional, encompassing computational complexity, susceptibility to adversarial attacks on DRL policies, and regulatory and interoperability gaps with legacy infrastructure. The practical implications of this research emphasize the development of compact DRL models leveraging knowledge distillation for low-power edge devices, alongside technical interoperability guidelines to facilitate gradual transition from conventional systems.
Data Science-Based Salt Distribution Analysis: Efforts to Map Harvest Absorption for Income Stability of Coastal Farmers Abd. Wahab Syahroni; Nilam Ramadhani; Wildona Zumam; Badar Said
International Journal on Orange Technologies Vol. 8 No. 2 (2026): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v8i2.5676

Abstract

Salt distribution is one of the important aspects in the supply chain of the national salt industry. CVWM, as one of the salt distribution companies in Madura, has distribution records from 2017 to 2024 that include information on delivery dates, truck numbers, load tonnage, and salt field origins. This historical data holds great potential to be analyzed using a data science approach, particularly through the exploratory data analysis (EDA) stage. The benefit of this research is to provide insights for the company regarding salt distribution patterns that have occurred over the past eight years, and it is designed to conduct descriptive analysis on salt distribution data. The focus of the analysis is directed at three main aspects, namely annual distribution trends, the contribution of each salt field as a supply source, and seasonal distribution patterns. This research produces data visualizations and descriptive statistical analysis on salt distribution data.
Self-Control as an Intervening in The Determinants of Consumptive Behavior of Paylater Use Nur Lailiyatul Inayah; Ali Muhdor; Ruci Arizanda Rahayu
International Journal on Orange Technologies Vol. 8 No. 2 (2026): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v8i2.5682

Abstract

The development of digital technology has influenced consumer behavior, especially among Millennials and Generation Z, through the convenience of payment services such as PayLater. This study aims to analyze the influence of financial literacy, lifestyle, and risk on the consumptive behavior of PayLater users, with self-control as a mediating variable. A quantitative approach was employed with a sample of 96 respondents from Sidoarjo District, selected using the Lemeshow formula. Data analysis was conducted using Structural Equation Modeling (SEM) with a Partial Least Square (PLS) approach. The results show that financial literacy, lifestyle, and risk significantly influence both consumptive behavior and self-control. Furthermore, self-control has a significant impact on consumptive behavior and successfully mediates the relationship between the three independent variables and consumptive behavior. These findings highlight the importance of self-control in mitigating the negative effects of PayLater usage and the need to enhance financial literacy and promote a financially responsible lifestyle.
Family Roles in Referral Decision-Making for Maternal-Neonatal Emergency Cases: A Phenomenological Study Rafhani Rosyidah
International Journal on Orange Technologies Vol. 8 No. 2 (2026): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v8i2.5691

Abstract

Maternal-neonatal emergencies require rapid decision-making and timely referral to prevent poor outcomes for mothers and newborns. However, referral decisions are often influenced not only by health care providers but also by family members who hold authority, provide resources, and give permission during emergencies. This study aimed to explore family roles in referral decision-making for maternal-neonatal emergency cases. This study used a qualitative design with a phenomenological approach. Ten family members who had been directly involved in referral decision-making during maternal or neonatal emergency situations were selected through purposive sampling. Data were collected using in-depth, semi-structured interviews supported by field notes. Interview recordings were transcribed verbatim and analyzed using thematic analysis. Trustworthiness was maintained through credibility, transferability, dependability, and confirmability. Four main themes emerged from the analysis: family authority in referral decision-making, recognition of emergency conditions, barriers to timely referral, and trust in health care providers. Husbands, parents, and in-laws often influenced approval or delay of referral. Families who recognized danger signs tended to accept referral more quickly, while limited knowledge, financial concerns, transportation difficulties, distance, and the need for family discussion contributed to delays. Clear communication and reassurance from health care providers strengthened family trust and supported faster referral decisions. Family roles in maternal-neonatal emergency referral are complex and multidimensional. Strengthening family-centered education, effective provider communication, and referral preparedness is essential to improve timely decision-making and support better maternal-neonatal outcomes.
Advanced Fault Analysis and Protection Strategies for Distribution Grids with High Renewable Energy Penetration Farabi Hasan Chadni; Md Shahdat Hossain
International Journal on Orange Technologies Vol. 5 No. 8 (2023): International Journal on Orange Technologies
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i8.5705

Abstract

Background: The speed of renewable energy source implementation into distribution networks has brought about major changes which now affect both power system management. The growing number of distributed generation units now produces two-way power movement which creates unpredictable fault currents that disrupt standard protection system operations. Methods: The research employs a quantitative cross-sectional survey approach which analyzes responses from 265 participants work as engineers and researchers and grid operators and academicians and industry experts. The study gathered data through a structured questionnaire which focused on fault behavior and protection obstacles and technology recognition. Pearson correlation analysis to study the connections between major factors which consisted of fault complexity and adaptive protection and smart grid integration. Results: The analysis shows that line-to-ground faults account for 32.1%, followed by line-to-line faults (20.8%) and double line faults (15.1%). The system experiences bidirectional power flow as its primary operational challenge which affects 26.4% of users while 20.8% face power system challenges because of renewable power source fluctuations. Traditional protection systems receive a moderate effectiveness rating from 30.2% of survey participants. The correlation analysis shows adaptive protection systems achieve their highest positive correlation with grid reliability at 0.68 followed by smart grid integration at 0.63 but fault complexity produces a negative correlation of -0.45. Conclusion: The study demonstrates that renewable energy adoption creates major changes to distribution system protection when operating at the same time. Advanced adaptive protection systems together with intelligent systems to achieve better reliability and maintain stable system operation.
Smart Transportation Solutions Using AI to Optimize Traffic Flow and Reduce Urban Congestion for Improved Urban Mobility Md Jahidul Islam Ridoy; Al Akhir
International Journal on Orange Technologies Vol. 7 No. 2 (2025): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v7i2.5707

Abstract

Background: The fast growth of cities has led to worsen traffic problems and longer wait times and increased pollution which requires smart transportation solutions to address these issues. Smart transportation systems which use Artificial Intelligence (AI) provide an effective solution to enhance traffic management and protect road users while achieving better urban transportation system performance. Methods: The research applied a quantitative approach to study smart transportation systems which use AI technology affect various aspects. Data from 195 participants who included transportation engineers and urban planners. Descriptive statistics together with percentage analysis and correlation techniques to study traffic patterns and their effects on reducing delays and boosting safety and improving fuel consumption and public transportation contentment. Results: AI-based transportation systems positively because 91.3% of respondents observed better traffic movement and 88.7% experienced shorter wait times and 85.1% reported improved safety and 83.6% achieved better fuel efficiency and 87.2% expressed higher satisfaction levels. Correlation analysis demonstrates strong positive connections between essential variables which show that traffic flow relates to delay reduction through r = 0.78 and safety through r = 0.71 and satisfaction through r = 0.74. The data shows that fuel consumption levels create negative relationships with efficiency-related variables because users need less energy to operate these systems. Conclusion: AI-based smart transportation networks deliver better urban mobility results which improve safety performance and generate sustainable advantages. Multiple operational difficulties because it requires expensive equipment and users struggle to protect their data privacy while lacking sufficient expertise.
Integrating GIS and Multi-Criteria Decision Making for Sustainable Industrial Waste-to-Energy Planning Shahin Alom Shobuj; Robin Mia
International Journal on Orange Technologies Vol. 3 No. 11 (2021): IJOT
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v3i11.5711

Abstract

Industrial waste-to-energy (WtE) systems have gained increasing attention as sustainable solutions for addressing the dual challenges of growing industrial waste generation and rising energy demand. This study proposes an integrated Geographic Information System (GIS) and Multi-Criteria Decision-Making (MCDM) framework for prioritizing and siting WtE facilities under energy security and environmental sustainability constraints. The framework combines spatial analysis with systematic decision-support techniques to evaluate technical, environmental, economic, and socioeconomic factors influencing WtE project feasibility. GIS is employed to analyze spatial parameters, including land use, transportation accessibility, waste generation patterns, population density, topography, and environmental sensitivity, enabling the identification of suitable locations for WtE development. To improve decision accuracy and transparency, the Analytical Hierarchy Process (AHP) and Fuzzy Analytical Hierarchy Process (FAHP) are integrated to assign weighted priorities to evaluation criteria while addressing uncertainty and subjective expert judgment. The proposed approach generates suitability maps that classify candidate sites according to sustainability and operational performance. Environmental considerations such as soil stability, proximity to water bodies, and ecological risk are incorporated alongside economic and social indicators, including cost-effectiveness, energy recovery potential, logistics efficiency, and community acceptance. The framework also supports supply-chain optimization by reducing transportation costs and associated greenhouse gas emissions. Overall, the GIS–MCDM approach enhances the reliability and effectiveness of WtE planning, contributing to renewable energy generation, landfill reduction, circular economy development, and long-term sustainable industrial growth.
Integrating Safety Leadership, Safety Culture, Safety Behavior: Insight from the Manufacturing Industry Rita Ambarwati
International Journal on Orange Technologies Vol. 8 No. 2 (2026): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v8i2.5713

Abstract

In the manufacturing sector, occupational safety is crucial since workplace mishaps put operations and worker health at serious danger. The purpose of this study is to examine how safety leadership influences good safety behaviour in the workplace and develops a safety culture. In order to assess the relationship between safety leadership and safety climate and to pinpoint the variables influencing leadership efficacy in enhancing safety procedures, this study used a methodical literature review technique. The findings demonstrate that the development of a positive safety culture, raising employee awareness, and promoting risk reporting are all greatly aided by effective safety leadership. The relationship between safety leadership and safety outcomes is mediated by safety climate, which makes the workplace safer and more cooperative. The systematic integration of safety leadership, safety culture, and safety behaviour, particularly in the Indonesian manufacturing sector, is identified as a knowledge gap in the literature by this study. Organisations can lower workplace accidents and boost overall safety performance by developing a proactive safety culture and bolstering safety leadership.
The Effect of ESG Performance and Sustainability Reporting on Firm Value: Evidence from Mining Companies in Indonesia Fityan Izza Noor Abidin; Endra Wahyu Ningdiyah; Wiwit Hariyanto
International Journal on Orange Technologies Vol. 8 No. 2 (2026): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v8i2.5714

Abstract

This study aims to analyze the effect of Environmental, Social, Governance (ESG) and Sustainability Reporting on Firm Value in mining companies in Indonesia. This study uses secondary data obtained from annual reports and sustainability reports of companies listed on the Indonesia Stock Exchange (IDX), with a total sample of 39 companies. The analytical method used is multiple linear regression with the assistance of SPSS software. Prior to hypothesis testing, the data were tested using classical assumption tests, including normality, multicollinearity, heteroscedasticity, and autocorrelation tests. The dependent variable in this study is Firm Value measured using Tobin’s Q, while the independent variables consist of ESG and Sustainability Reporting. The results show that ESG has a positive and significant effect on Firm Value. This indicates that better ESG performance leads to higher firm value from investors’ perspective. In addition, Sustainability Reporting also has a positive and significant effect on Firm Value, indicating that companies that disclose sustainability reports tend to have higher firm value. Simultaneously, ESG and Sustainability Reporting have a significant effect on Firm Value. The coefficient of determination shows that ESG and Sustainability Reporting explain 84.5% of the variation in Firm Value, while the remaining is explained by other variables outside the research model.

Page 84 of 85 | Total Record : 845

 81   82   83   84   85 

Filter by Year

2019 2026


Reset
Filter By Issues
All Issue Vol. 8 No. 3 (2026): International Journal on Orange Technologies (IJOT) Vol. 8 No. 2 (2026): International Journal on Orange Technologies (IJOT) Vol. 8 No. 1 (2026): International Journal on Orange Technologies (IJOT) Vol. 7 No. 3 (2025): International Journal on Orange Technologies (IJOT) Vol. 7 No. 2 (2025): International Journal on Orange Technologies (IJOT) Vol. 7 No. 1 (2025): International Journal on Orange Technologies (IJOT) Vol. 6 No. 3 (2024): International Journal on Orange Technologies (IJOT) Vol. 6 No. 2 (2024): International Journal on Orange Technologies (IJOT) Vol. 6 No. 1 (2024): International Journal on Orange Technologies (IJOT) Vol. 5 No. 12 (2023): International Journal on Orange Technologies (IJOT) Vol. 5 No. 10 (2023): International Journal on Orange Technologies (IJOT) Vol. 5 No. 9 (2023): International Journal on Orange Technologies (IJOT) Vol. 5 No. 8 (2023): International Journal on Orange Technologies Vol. 5 No. 7 (2023): International Journal on Orange Technologies Vol. 5 No. 6 (2023): International Journal on Orange Technologies Vol. 5 No. 5 (2023): International Journal on Orange Technologies Vol. 5 No. 4 (2023): International Journal on Orange Technologies Vol. 5 No. 3 (2023): International Journal on Orange Technologies Vol. 5 No. 2 (2023): International Journal on Orange Technologies Vol. 5 No. 1 (2023): International Journal on Orange Technologies Vol. 4 No. 12 (2022): IJOT Vol. 4 No. 11 (2022): IJOT Vol. 4 No. 10 (2022): IJOT Vol. 4 No. 9 (2022): IJOT Vol. 4 No. 8 (2022): IJOT Vol. 4 No. 7 (2022): IJOT Vol. 4 No. 6 (2022): IJOT Vol. 4 No. 5 (2022): IJOT Vol. 4 No. 4 (2022): IJOT Vol. 4 No. 3 (2022): IJOT Vol. 4 No. 2 (2022): IJOT Vol. 4 No. 1 (2022): IJOT Vol. 3 No. 12 (2021): IJOT Vol. 3 No. 11 (2021): IJOT Vol. 3 No. 10 (2021): IJOT Vol. 3 No. 9 (2021): IJOT Vol. 3 No. 8 (2021): IJOT Vol. 3 No. 7 (2021): IJOT Vol. 3 No. 6 (2021): IJOT Vol. 3 No. 5 (2021): IJOT Vol. 3 No. 4 (2021): IJOT Vol. 3 No. 3 (2021): IJOT Vol. 3 No. 2 (2021): IJOT Vol. 3 No. 1 (2021): IJOT Vol. 2 No. 12 (2020): December Vol. 2 No. 11 (2020): November Vol. 2 No. 10 (2020): October Vol. 2 No. 9 (2020): September Vol. 2 No. 8 (2020): August Vol. 2 No. 7 (2020): July Vol. 2 No. 6 (2020): June Vol. 2 No. 5 (2020): May Vol. 2 No. 1 (2020): January Vol. 1 No. 12 (2019): December Vol. 1 No. 9 (2019): September Vol. 1 No. 2 (2019): IJOT Vol. 1 No. 1 (2019): IJOT More Issue