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Ruth Rize Paas Megahati S
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Radinka Journal of Science and Systematic Literature Review
Published by Radinka Jaya Utama Publisher
ISSN : -     EISSN : 29885825     DOI : https://doi.org/10.56778/rjslr
Core Subject : Health, Science, Education, Agriculture,
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Mathematics Public Health
The Radinka Journal of Science and Systematic Literature Review (RJSLR) is a journal that focuses on research articles, reviews, and empirical research. This journal aims to facilitate research in all areas of life until the research articles and SLR method have been applied. The Radinka Journal of Science and Systematic Literature Review (RJSLR) accepts manuscripts in the fields of natural sciences, health sciences, medicine, agriculture, computing, tourism, management, law, and architecture. RJSLR publishes high-quality scientific research results: research articles, systematic literature reviews, structured literature reviews, meta-analyses, and bibliographic analyses
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Pertanian dan Biologi (Lain-Lain)
Articles 10 Documents
 1 
Search results for , issue "Vol. 3 No. 2 (2025): Radinka Journal of Science and Systematic Literature Review" : 10 Documents clear
Design of Wedding Organizer Information System at "Bella W-O" using the waterfall method SAYUTI, AKHMAD; Serry Davizan; Irwansyah
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 3 No. 2 (2025): Radinka Journal of Science and Systematic Literature Review
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v3i2.486

Abstract

Wedding Organizer services help prospective brides and grooms and families plan their weddings. This service is popular because it makes wedding planning easier. However, the obstacle or problem is that wedding service promotions often face challenges such as incomplete wedding package information and manual transaction data processing that can cause errors. This study reveals that the Wedding Organizer application can provide complete information about wedding packages, update the latest package list, handle transactions in real-time, and manage order information automatically. This study uses the waterfall method which includes the stages of analysis, implementation, testing, and maintenance. Data collection methods include wedding package data, photo gallery data, and vendor data. System development follows a prototype model with stages of communication, rapid planning and modeling. The programming language used is the PHP programming language, with MySQL as the Database Management System (DBMS).
Optimization of E-Waste Sorting Process Using Deep Learning Oise, Godfrey perfectson; Konyeha, Susan
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 3 No. 2 (2025): Radinka Journal of Science and Systematic Literature Review
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v3i2.503

Abstract

The exponential growth of electronic waste (e-waste) has created urgent environmental and health challenges, demanding advanced solutions for efficient sorting and recycling. This study presents a novel hybrid deep learning framework that integrates EfficientNet, MobileNet, and a Sequential Neural Network (SNN) to automate e-waste classification with high accuracy and speed. The model was trained and evaluated on a diverse dataset of 3,859 images spanning 12 e-waste categories, including batteries, printed circuit boards, and household electronics. Experimental results demonstrate exceptional performance, achieving 97.8% accuracy, 98.1% precision, 97.8% recall, and a 97.8% F1 score, surpassing traditional methods and single-model approaches. The system’s lightweight design (48 MB) enables real-time processing (0.12 seconds per image) on standard CPUs, ensuring scalability for industrial applications. By automating the sorting process, the framework reduces human exposure to hazardous materials, enhances material recovery efficiency, and supports sustainable waste management practices. Its modular architecture allows seamless integration into existing recycling workflows, making it a practical solution for facilities with limited resources. The study underscores the model’s potential to advance circular economy initiatives by improving resource reuse and minimizing environmental contamination. Future research will focus on real-time IoT deployment, federated learning for decentralized training, and expanding classification capabilities to include rare and unconventional e-waste items. This work contributes a scalable, cost-effective, and environmentally responsible solution to the global e-waste crisis.
Trauma, Survival, and Narrative Structure: A Study of Post Attempt Recovery in Salman Rushdie’s Knife: Meditations After an Attempted Murder Nadeem, Zakra; Ali Hussnain
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 3 No. 2 (2025): Radinka Journal of Science and Systematic Literature Review
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v3i2.505

Abstract

This paper investigates how Salman Rushdie’s Knife: Meditations After an Attempted Murder employs a fragmented, non‑linear narrative to represent the multifaceted experience of trauma, survival, and post‑traumatic recovery. Drawing on trauma theory (Caruth, 1996; Herman, 1992) and narrative theory (Bakhtin, 1981; White, 1980), it argues that Rushdie’s meditative structure both mirrors the disorientation of post‑traumatic consciousness and serves as a mechanism of narrative repair. The analysis begins by situating Knife within the broader contexts of autobiographical and trauma‑narrative traditions, then outlines the theoretical underpinnings that foreground trauma’s resistance to linear narration and the potential for post‑traumatic growth. Subsequent sections examine how Rushdie’s strategic use of fragmentation, repetition, and shifts between public and private discourse enacts the ruptured temporality of trauma, and how his reflections on bodily wounds, existential questioning, and creative resilience underscore survival as an ongoing negotiation. Finally, the study explores writing itself as a therapeutic practice, showing how repetitive narrativization allows Rushdie to reclaim agency and reconfigure his identity. The paper concludes that Knife transcends conventional memoir, demonstrating how narrative form can both bear witness to psychic fracture and facilitate healing, ultimately modeling the potential for growth and creative renewal in the aftermath of violence.
Intelligent Waste Management Systems: A Review of IoT, Deep Learning, and Optimization Techniques for Sustainable E-Waste and Solid Waste Handling Oise, Godfrey; Oyedotun Samuel ABIODUN; Onwuzo Chioma JULIA; Ejenarhome Otega Prosper
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 3 No. 2 (2025): Radinka Journal of Science and Systematic Literature Review
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v3i2.508

Abstract

This review addresses the urgent environmental and health issues posed by the rapid growth of electronic waste (e-waste) and municipal solid waste (MSW), highlighting the role of emerging technologies in crafting sustainable waste management solutions. It explores the integration of the Internet of Things (IoT), deep learning, and optimization algorithms in enhancing waste classification, recycling, and disposal. Key innovations include IoT-enabled smart bins for real-time monitoring, deep learning models like CNNs achieving up to 97% sorting accuracy, and optimization techniques that improve energy efficiency and scalability. The paper synthesizes findings from over 50 studies and emphasizes both technical advances and implementation challenges, such as data limitations, model interpretability, and the lack of robust policy frameworks. Future research directions include explainable AI, edge computing, and global standardization of e-waste regulations. The review is intended for researchers, developers, and policymakers working toward circular economy principles and sustainable smart city solutions.
The Application of Risk Management in Business Decision Making in Retail Companies: A Case Study at PT Indomarco Prismatama (Indomaret) Makassar Branch Nasir, Nasir
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 3 No. 2 (2025): Radinka Journal of Science and Systematic Literature Review
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v3i2.544

Abstract

In a competitive and dynamic retail business environment, the implementation of risk management is an important aspect in supporting effective decision-making. This research aims to describe and analyze how risk management is applied in the business decision-making process at PT Indomarco Prismatama (Indomaret) Makassar Branch. The method used is a descriptive qualitative approach with data collection techniques through observation, in-depth interviews, and documentation. The results of the study show that the company has implemented risk management systematically through the identification of operational risks, the use of stock monitoring technology, and the preparation of alternative scenarios in the face of uncertainty. The implementation of risk management has been proven to speed up the decision-making process, improve operational efficiency, and minimize potential losses. However, there were also several obstacles such as the lack of risk training for new staff and differences in perceptions of the urgency of risk among work units. Based on these findings, it is recommended that companies improve risk management training regularly, strengthen internal coordination, and optimize data-driven digital systems to support more responsive and adaptive decision-making.
The Influence of Social Media and Visual Content on Customer Engagement on Shopee E-commerce Yuliana, Liza; Sanny EDINOV
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 3 No. 2 (2025): Radinka Journal of Science and Systematic Literature Review
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v3i2.558

Abstract

This study investigates the impact of social media marketing and visual content as key variables in driving customer engagement on the Shopee e-commerce platform. With the rapid growth of the digital economy, brands' ability to effectively engage with their customers through digital channels is crucial. Using a quantitative approach, this study collected data through a questionnaire distributed to 100 respondents, who were active users and followers of Shopee's social media accounts. Social media variables were measured based on the frequency and quality of interactions on platforms such as Instagram, TikTok, and Facebook. Meanwhile, visual content variables were assessed based on the attractiveness, informativeness, and uniqueness of posted product photos and videos. Customer engagement variables were measured through interaction indicators such as likes, comments, shares, and participation in promotions. The results of a multiple regression analysis showed that both variables, namely social media and visual content, had a positive and significant influence on customer engagement, both partially and simultaneously. Specifically, these findings highlight that the quality of visual content plays a more dominant role in triggering customer interaction. Visual content that is aesthetically designed and provides clear information is proven to be more effective in building emotional connections and sustained interactions. The implications of this study offer strategic insights for Shopee marketing teams and other e-commerce players, emphasizing the importance of optimal resource allocation to produce creative and engaging visual content, as well as personalizing interactions on social media to build stronger customer loyalty.
Accessing National Demand-Side Climate Change Mitigation Plan and Socio-Economic Impact in Nigeria Udoinyang, Nathan
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 3 No. 2 (2025): Radinka Journal of Science and Systematic Literature Review
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v3i2.563

Abstract

This study examines the national demand-side climate change mitigation plan and its socio-economic impact in Nigeria, aiming to assess the opportunities and challenges of promoting sustainable development while reducing greenhouse gas emissions. Using a mixed-methods approach, the study combines qualitative and quantitative data to provide a comprehensive understanding of the socio-economic impacts of demand-side climate change mitigation strategies in Nigeria. The study's findings reveal that Nigeria's climate change mitigation policies and strategies have the potential to promote low-carbon economic development, reduce poverty, and improve public health. However, the study also highlights the challenges of implementing these policies, including limited funding, inadequate infrastructure, and lack of awareness and education on climate change issues. The study concludes that by promoting sustainable development and reducing greenhouse gas emissions, Nigeria can achieve its climate goals thereby contribute to global efforts to address climate change, and recommends for increased investment in renewable energy, promotion of climate-resilient agriculture, and development of climate-resilient infrastructure to reduce the impacts of climate change. The study also recommends that policymakers and stakeholders should prioritize climate change education and awareness, and promote participatory and inclusive approaches to climate change research and policy development. Overall, the study provides insights into the opportunities and challenges of promoting sustainable development and reducing greenhouse gas emissions in Nigeria, and highlights the need for a comprehensive and integrated approach to addressing climate change impacts in the country.
Lactobacillus Plantarum for Human Life: Molecular Approach Megahati S, Ruth Rize Paas
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 3 No. 2 (2025): Radinka Journal of Science and Systematic Literature Review
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v3i2.576

Abstract

Lactobacillus plantarum (L. plantarum) increases short-chain fatty acids (SCFA) levels in the intestines, which acts as a signal to activate the nuclear factor erythroid 2-related factor 2 (Nrf2) pathway. This activation is crucial for reducing oxidative stress and maintaining mitochondrial balance. This study aims to review several research papers that explore and highlight how L. plantarum makes SCFAs to activate Nrf2, specifically the strategies it uses to combat free radicals. The systematic review technique systematically investigates, assesses, analyzes, and interprets all study findings relevant to the research topic. We sourced articles from three databases: Scopus, Web of Science, and Google Scholar, covering the period from 2014 to 2024. The study found that SCFAs made by L. plantarum are important signals that trigger the Nrf2 signaling pathway, which helps protect cells from damage caused by oxidation and inflammation. L. plantarum is a beneficial probiotic that uses SCFAs to trigger the Nrf2 pathway, providing strong protection against free radicals and supporting various health benefits.
A Comprehensive Review on Microbial Bioremediation of Industrial Dye Dey, Sreedeep; Mandal, Barnali
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 3 No. 2 (2025): Radinka Journal of Science and Systematic Literature Review
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v3i2.518

Abstract

Synthetic dyes, widely utilized across industries such as textiles, cosmetics, and pharmaceuticals, represent a significant environmental hazard due to their persistence, toxicity, and resistance to conventional treatment methods. Current remediation strategies, including coagulation, adsorption, and advanced oxidation processes, are limited by high energy demands, secondary pollutant generation, and inefficiency in degrading recalcitrant dye structures. This review comprehensively evaluates microbial dye remediation as a sustainable alternative, emphasizing the enzymatic potential of bacteria, fungi, algae, and yeasts. Critical findings underscore the efficacy of microbial enzymes, including laccases, azoreductases, and peroxidases, in degrading complex dyes such as azo and anthraquinone derivatives into less toxic or mineralized products. Microbial consortia demonstrate enhanced degradation through metabolic complementarity, while innovative bioreactor systems, such as microbial fuel cells and membrane bioreactors, achieve improved efficiency and energy recovery. Despite these advances, challenges such as the production of toxic intermediates (e.g., aromatic amines), microbial sensitivity to environmental fluctuations, and sludge generation remain obstacles to industrial-scale application. The review highlights the potential of integrating microbial systems with nanotechnology and advanced oxidation processes to address these limitations. Genetic engineering and synthetic biology are proposed as critical tools for enhancing microbial resilience and enzymatic specificity. Future research should focus on hybrid remediation approaches, real-time environmental monitoring, and the development of standardized, scalable protocols. By synthesizing advancements in microbial biotechnology and wastewater management, this review provides a strategic framework for addressing industrial dye pollution, aligning with global sustainability goals and advancing the field of bioremediation.
Analysis and Mathematical Application of Taylor Series to Crystallization of Rock forming minerals from Magma Ifeanyi, Achuenu; Lekmang C. Isah; Hyeladi Dibal; Geoffrey Mica Kumleng
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 3 No. 2 (2025): Radinka Journal of Science and Systematic Literature Review
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v3i2.553

Abstract

Power series in magma is the power of a mineral to form from magma at a controlled condition of temperature or pressure and the process of mineral formation from magma using power series is called Taylor series in magma. The reactions in magma are very complex because of several anionic and cationic substitutions of different sizes and charges in the magma and in this case, complex problems require complex solutions. This research was focused more on using Bowen and Goldschmidt concepts concerning the elemental substitution and distribution of chemical elements in rocks throughout the time of crystallization with mathematical foundations such as Taylor series to predict major minerals, encompassing olivine, pyroxene, amphibole, mica, and feldspar, and their associated rocks, encompassing granite, basalt, andesite, and trachyte. Findings have shown that, in a mathematical context, Bowen’s and Goldschmidt rules were mathematically connected using the Taylor series.

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