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M. Rizky Mahaputra
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Greenation International Journal of Engineering Science
Published by Greenation Research
ISSN : 2986089X     EISSN : 29860326     DOI : https://doi.org/10.38035/gijes
Core Subject : Engineering,
Greenation International Journal of Engineering Science (GIJES) is a peer-reviewed journal managed and published by Greenation Research & Yayasan Global Resarch National. GIJES is published four times a year, in March, June, September, and December. GIJES provides a platform for academics, researchers, and practitioners to publish scientific articles. The scope of articles listed in this journal is related to various topics such as Engineering Education, Civil Engineering, Electrical Engineering, Informatics Engineering, Craft Engineering, Architectural Engineering, Industrial Engineering, Mechanical Engineering, Environmental and Safety Technology, Basic Chemical Engineering, and Applied Chemistry, Transportation Engineering, Geology & Mining Engineering, Marine & Naval Engineering, and other related engineering fields.
Articles 131 Documents
Field Soil Density Analysis Using the Sand Cone Method on the Segayam–Lebak Gedong Road Improvement Project, Ogan Ilir Regency Rahmad Hidayat Saputra; Anna Elvaria
Greenation International Journal of Engineering Science Vol. 3 No. 1 (2025): (GIJES) Greenation International Journal of Engineering Science (March - May 20
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v3i1.353

Abstract

Road infrastructure is crucial for the economy's smooth functioning, but its current state is largely due to natural and human factors, leading to increased traffic. Quality control is essential in road construction planning, focusing on aggregates, subgrade, and subbase layers. Factors such as water content, soil type, and compacted soil can affect soil density. A dense sub-base layer provides good bearing capacity, strengthening road construction. Improving road infrastructure is essential for maintaining the economy's lifeblood, supporting people's movement and influencing distribution and logistics activities. With the development of cities and technological advancements, national roads have grown, passing through provincial capitals and regency/city capitals. The Ogan Ilir Regency Government, through the Public Works and Housing Office, is working to meet community needs in road infrastructure, particularly in rural areas. However, many road conditions in Ogan Ilir Regency still need repairs and improvements. Road improvement in Ogan Ilir Regency should be carried out using good methods and optimal supervision. The sand cone method, which employs Ottawa sand as a parameter for soil density, is used to inspect the field density of the compacted soil layer or pavement layer.
Object Detection in Satellite Imagery for Land Change Monitoring Ridwan Ridwan; Hapzi Ali
Greenation International Journal of Engineering Science Vol. 2 No. 4 (2025): (GIJES) Greenation International Journal of Engineering Science (December 2024
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v2i4.357

Abstract

This study aims to develop an object detection method using satellite imagery to monitor land use changes from 2010 to 2025. In this research, we applied Convolutional Neural Networks (CNN), a deep learning technique, to analyze land use changes, including urban expansion, agricultural land conversion, and deforestation. Satellite images from the Sentinel-2 and Landsat programs were used to detect these changes. The image processing steps involved geometric and radiometric correction, cloud removal, and image normalization to improve data quality. The results of the study showed that the developed CNN model achieved an overall accuracy of 92%, with high precision and recall rates for urban and agricultural land categories. The model also successfully detected land use changes with an accuracy of 90%, especially urban expansion with a recall rate of 95%. A comparison with traditional methods, such as pixel-based classification and thresholding, revealed that the CNN model outperformed these methods in terms of accuracy and precision. This research demonstrates that deep learning techniques, particularly CNNs, can be effectively used for automated land use monitoring using satellite imagery, providing valuable insights for urban planning, environmental monitoring, and natural resource management. However, challenges such as image resolution and cloud interference remain and should be addressed in future studies to enhance the accuracy of land use change detection.
TikTok Algorithm in Fast Beauty Product Marketing: Influencing Consumer Behavior of the Digital Generation Salsabila Dwi Fitri; Yorasaki Ananta
Greenation International Journal of Engineering Science Vol. 2 No. 4 (2025): (GIJES) Greenation International Journal of Engineering Science (December 2024
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v2i4.358

Abstract

In the ever-evolving digital landscape growing , TikTok has incarnate become a strategic platform for brands in market products , in particular in the fast beauty industry is heavily influenced by trends and visualization . This article is studies literature that aims For to study role TikTok algorithm and content strategy in to form behavior consumptive digital generation towards fast beauty products . With use approach Systematic Literature Review (SLR), research This filter various studies relevant academic? For build base strong theoretical. The results of the study show that TikTok's algorithm is based on intelligence artificial contribute significant in create personalization content , which in turn increase exposure and interest buy to products . On the other hand , content strategy based on storytelling, trends , and collaboration with micro-influencers involved strengthen Power attraction and engagement consumers . This article conclude that synergy between algorithms and visual content on TikTok play a role role important in push decision purchases , especially among Gen Z and Millennials who are the main targets fast beauty industry.
SWOT Analysis and SO, ST, WO and WT Strategies in Optimizing Marketing Strategies for Competitive Advantage at XYZ Fashion Stores Zaeni Wiranti; Hapzi Ali
Greenation International Journal of Engineering Science Vol. 3 No. 1 (2025): (GIJES) Greenation International Journal of Engineering Science (March - May 20
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v3i1.394

Abstract

This research aims to develop an appropriate marketing strategy to strengthen the competitive advantage of XYZ Fashion Stores amid increasing competition in the fashion retail industry. The object of this study is Toko Fashion XYZ, which is a retail company that sells quality and fashionable clothing, accessories, and shoes products. The results of the study show that XYZ Fashion Stores have strengths that include an attractive product variety, a well-known brand reputation in the community, and a strategic store location. However, the company also faces some drawbacks, such as reliance on offline sales, lack of product innovation, and limitations in digital media for marketing. There are many opportunities, such as the rapid growth of e-commerce, promotion through social media, and local fashion trends. On the other hand, there are threats coming, such as fierce price competition, rapid changes in market tastes, and market pressure on large e-commerce platforms. In addition, the method of writing this scientific article is a qualitative method, the SWOT method (Strengths, Weaknesses, Opportunities, Threats). In this SWOT analysis, several alternative strategies for the SO, WO, ST, and WT categories are proposed. These strategies focus on operational efficiency, improved service quality, product innovation, and better digital marketing.  To strengthen XYZ Fashion Store's position in the national fashion retail industry, these strategies are expected to serve as a foundation for strategic decision-making.
Increasing method performance of long-dimensional hydraulic cylinders for road and construction machinery Ogochukwu Chinedum Chukwunedum; Nnaemeka Fredrick Okeagu; Sunday Chimezie Anyaora; Chinazom Daniel Anizoba
Greenation International Journal of Engineering Science Vol. 3 No. 1 (2025): (GIJES) Greenation International Journal of Engineering Science (March - May 20
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v3i1.450

Abstract

Single bucket excavators are one of the most frequent types of construction machines, as shown in this work (CM). Due to a variety of advantages over a mechanical drive, the vast majority of them use a hydraulic drive. The hydraulic drive, on the other hand, has a significantly poorer reliability. Hydraulic cylinders are the most significant factor limiting its dependability. One of the shortcomings of the existing design of the most popular double-acting reciprocating hydraulic cylinder on road-building machines with a one-sided rod is that it has a deflection before applying an operational longitudinal compressive force. This type of deflection is defined as the total amount of deflection caused by misalignment of the primary bearing parts (stem and sleeve).
Analisis SWOT Analysis Of Opportunities and Challenges in the Cat Food Industri at XYZ Company Aisyah Nurul Syifa
Greenation International Journal of Engineering Science Vol. 3 No. 1 (2025): (GIJES) Greenation International Journal of Engineering Science (March - May 20
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v3i1.456

Abstract

The purpose this article is to identify and analze the internal and external factors that affect the strategic position of XYZ Company in the cat food industry. The object of research on online libraries, Google scholar, Mendeley and other academic online media. The research method uses quantitative descriptive and library research sourced from e-books and open access e-journals.
Management of Clean Water Resources at Renzo Edupark, Sukabumi, West Java Tulus Sukreni
Greenation International Journal of Engineering Science Vol. 3 No. 2 (2025): (GIJES) Greenation International Journal of Engineering Science (June - August
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v3i2.482

Abstract

This study examines the quality and management of clean water in Renzo Edupark, Cibadak, Sukabumi, a reclaimed area of a former silica sand mining site. Water samples were collected from three points the main reservoir, the final reservoir, and a dug well for analysis using parameters of TDS, TSS, pH, BOD, COD, DO, ammonia, Mn, Zn, and Pb, in accordance with Government Regulation of the Republic of Indonesia No. 22 of 2021. Laboratory test results indicated that five parameters pH, BOD, COD, Mn, and Zn did not meet the quality standards, with low pH (4–5) indicating acidic conditions, high BOD and COD values, and Mn and Zn concentrations exceeding the threshold limits. These conditions have led to fish mortality and declining water quality. Several improvement methods were proposed, including neutralization using NaOH or quicklime, as well as biological and chemical treatments. The coagulation flocculation method was found to be the most effective, reducing COD by up to 79% and increasing pH to 8.5 with specific doses of chlorinated lime, quicklime, and alum. This study recommends the application of coagulation–flocculation as a practical and economical solution for revitalizing water quality in the area.
Renewable Energy Integration for Cost Reduction and Academic Advancement in Nigerian Higher Education Obiora Jeremiah Obiafudo; Callistus Nkemjika Chukwu; Tochukwu Josiah Uche; Collins Kosi Nzelu; Johnbosco Chiemerie Chukwunenyem
Greenation International Journal of Engineering Science Vol. 3 No. 1 (2025): (GIJES) Greenation International Journal of Engineering Science (March - May 20
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v3i1.531

Abstract

Reliable energy supply is critical to the functioning of higher education, influencing teaching, research, and administrative efficiency. In Nigeria, however, universities grapple with persistent grid outages and high dependence on diesel generators, which escalate costs and undermine academic productivity. Renewable energy presents a viable alternative for addressing these challenges while advancing sustainability. This study employed a systematic review design to examine energy reliability challenges in Nigerian universities and renewable energy solutions for sustainability. Evidence was sourced from 2016–2025 publications, government reports, university audits, and donor agency documents, retrieved using databases such as Google Scholar, ScienceDirect, ResearchGate, JSTOR, and AJOL. A total of 54 relevant documents were retained after applying inclusion and exclusion criteria. Analysis followed a thematic approach, categorising evidence under diesel reliance, academic disruptions, environmental and health impacts, and renewable adoption outcomes. Findings revealed that renewable interventions, especially solar microgrids, reduce energy costs, enhance reliability, and improve academic services across universities including OAU, FUNAAB, UNIZIK, and UNILAG. The study concludes that integrating renewable energy is essential for reducing operational costs, safeguarding academic advancement, and positioning Nigerian universities as models of sustainable development.
Optimum Value for Zinc Removal from Saponin-Based Soil Washing Across soils at Onyeama Dumpsite, Enugu State Alexander Chidiebere Okoro; Louis Chukwuemeka Orakwe; Chike Pius Nwachukwu; Ella Ifeanyi Ugwu; Elijah Chibuzo Ugwu; Kenneth Eze; Chukwuemeka Obumneme Umobi
Greenation International Journal of Engineering Science Vol. 3 No. 2 (2025): (GIJES) Greenation International Journal of Engineering Science (June - August
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v3i2.545

Abstract

High reduction in the size of available land for agriculture has been a major problem facing most farmers today. The adoption of available plant based surfactants is yet to gain attention in south eastern Nigeria. This study was conducted to ascertain the level of Zinc removal from heavy metal contaminated dumpsites. Soil samples (C1, C2 and C3) were collected from the dumpsite and taken to the laboratory for analytical procedure. Saponin was also extracted from siam weed to aid the process of batch experiment for the removal of Zinc from contaminated soil. The result of the study showed that the optimum value for Zinc removal with saponin for soils C1, C2 and C3 were 96%, 99% and 100% respectively. It is recommended that saponin from Siam weed be adopted for the removal of Zinc from contaminated soil.
Factors Distance and Number of Users on WiFi Network Signal Quality Reni Silviah
Greenation International Journal of Engineering Science Vol. 3 No. 2 (2025): (GIJES) Greenation International Journal of Engineering Science (June - August
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v3i2.548

Abstract

The influence of distance and number of users on the quality of WiFi network signals is a scientific article with the aim of analyzing whether signal quality is affected by distance and the number of WiFi network users. Qualitative method with a phenomenological approach, The phenomenological approach emphasizes the description of the subject's life experience from the participant's own perspective (phenomenology as a social research method). The results of this article are: 1) Distance affects the quality of WiFi network signals, 2) The number of users affects the quality of WiFi network signals. Apart from these 2 exogenous variables that affect the endogenous variable of signal quality, there are many other factors including network performance, communication barriers, connection stability.

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