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International Journal of Science and Environment
Published by CV. Inara
ISSN : -     EISSN : 28090551     DOI : https://doi.org/10.51601/ijse.v2i4
Core Subject : Science, Education, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Mathematics Physics
International Journal of Science and Environment (IJSE) is to provide a research medium and an important reference for the advancement and dissemination of research results that support high-level research in the fields of Science and Environment . Original theoretical work and application-based studies, which contributes to a better understanding all fields of Science and Environment. The aim and scope of the journal Chemistry, Chemical Analysis, Physical Chemistry, Physics, Biology, Ecology, Biodiversity, Zoology, Biochemistry, Mathematics, Environmental Science, Agriculture, Environment, Forestry.
Arjuna Subject : Biokimia, Genetika dan Biologi Molekuler - Biokimia, Genetika dan Biologi Molekuler (Lain-Lain)
Articles 622 Documents
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Integration of Artificial Intelligence in Social Media Content Production Workflow to Improve Efficiency and Productivity: A Case Study of the Publication Team at SMP Islam Al Azhar 12 Rawamangun Arrum Dara Efda; Ropik; Izzaty Zephaniah; Feri Johansah
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.745

Abstract

The integration of Artificial Intelligence (AI) into the social media management of educational institutions has become critical amid limited human resources (HR) and increasingly high content-volume demands. This study aims to analyze the integration of AI into the content production workflow, measure its effectiveness on time efficiency and productivity, identify technical and non-technical obstacles, formulate optimization strategies, and recommend an automation system for the critical New Student Admission (PMB) period. Using a qualitative approach with a case study design at SMP Islam Al Azhar 12 Rawamangun, data were collected through in-depth interviews with five key informants (purposive sampling), participant observation, and documentation study. The results show that a five-member publication team with a multidisciplinary background (Mechanical Engineering Education, Fashion Design Education, Sociology, and Communication Science) manages six digital platforms with a workload of at least 20–25 pieces of content per week. The use of AI tools such as Gemini, ChatGPT, Claude, Canva, CapCut, and Wix Studio has proven to ease workload, accelerate the acquisition of visual assets, and improve the aesthetic quality of content. Nevertheless, conventional time savings remain relatively moderate (15–30 minutes per piece of content) because manual finishing (human-in-the-loop) is still required. The main obstacles encountered include AI daily-quota limitations, content spikes when school activities coincide (content bottlenecks), and the absence of a fully automated workflow system. This study recommends an AI-CRM-based automation architecture to optimize the school's social media performance, particularly during the PMB period.
Arduino Uno-Based Tool Temperature Control Design Using A Cooling System In The Turning Process Ezra Kurniawan Ezra Kurniawan; Razali
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.746

Abstract

The turning process generates heat due to the arrangement between the tool and the workpiece which can increase the temperature of the tool thereby accelerating tool wear and reducing the quality of machining results. This research aims to design an Arduino Uno-based tool temperature control system using a cooling system and determine its effectiveness in reducing the temperature of the tool in the turning process. The research method used was an experimental method by measuring test results without a cooling system and with a cooling system at a variation of feed rates of 0.10 mm/rev, 0.15 mm/rev, and 0.20 mm/rev as well as cutting depths of 0.4 mm, 0.8 mm, and 1.2 mm. Temperature data were analyzed using a comparative descriptive analysis method. The results showed that the average temperature without a cooling system was 41.79°C, 45.48°C, and 50.92°C, respectively, while with a cooling system it was 39.91°C, 40.02°C, and 41.28°C. The percentage of temperature reduction obtained was 4.50%, 12.01%, and 18.93%. These results show that the Arduino Uno-based cooling system is able to effectively control the chisel temperature, especially in cutting conditions with higher feed rates. Thus, the system designed can maintain a more stable tool temperature so that it has the potential to increase the life of the tool and the quality of the turning.
Platform Quality and AI Recommendation Quality in Building Customer Loyalty: The Mediating Role of Customer Trust and the Moderating Effect of Digital Literacy Kurnia Asni; Isthafan Najmi; Rizal Ansari; Irwan Safwadi; Agusmadi
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.747

Abstract

The rapid advancement of Artificial Intelligence (AI) has shifted e-commerce competition toward personalized and intelligent digital experiences. This study investigates the impact of AI-enabled Platform Quality and AI Recommendation Quality on Customer Loyalty, focusing on the mediating role of Customer Trust and the moderating effect of Digital Literacy. Utilizing a quantitative explanatory approach, data were collected through an online survey from 250 Lazada users residing in Aceh Province, Indonesia. The proposed research model was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The empirical findings reveal that both AI-enabled Platform Quality and AI Recommendation Quality significantly enhance Customer Trust. Furthermore, while general platform quality directly drives Customer Loyalty, AI recommendation features require the complete mediation of Customer Trust to successfully foster long-term customer retention. Consequently, Customer Trust acts as a crucial psychological mechanism, partially mediating the effect of platform quality and fully mediating the effect of recommendation quality on customer loyalty. Interestingly, the study discovered that Digital Literacy does not moderate the relationship between AI capabilities and trust. Instead, it serves as a significant direct predictor of Customer Trust, suggesting that for the predominantly Gen-Z and Millennial user base, digital literacy operates as a foundational baseline skill rather than a differentiating factor. These findings provide theoretical advancements to the Information Systems Success Model and offer actionable managerial insights for e-commerce platforms to prioritize trust-building alongside algorithmic improvements.
Design of a Vibration Instrumentation Device Using an ADXL Accelerometer Sensor on an Arduino-Based Vertical Milling Machine Rusydi Husaini; Razali
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.748

Abstract

The development of the manufacturing industry demands a machining process that has a high level of precision and reliability, so monitoring the condition of the machine is one of the important aspects to maintain the quality of the production process. This study aims to design and test an Arduino Mega 2560-based vibration instrumentation device using an accelerometer sensor ADXL345 to measure vibration in vertical milling machines. The developed system measures vibration acceleration on the X, Y, and Z axes, then calculates  the Total Root Mean Square (RMS) value as an indicator of the machine's vibration level. The test was carried out 15 times on a vertical milling machine with the same machining parameters, then the measurement results were compared with the HT-1201 vibration meter as a reference tool. The test results showed that the Total RMS value obtained was in the range of 0.807–1.586 m/s². The validation process resulted in  an average error value  of 12.95%, and an average accuracy of 87.05%. The results show that the developed tool has a good level of conformity with standard measuring instruments so that it is suitable for use as an alternative to vibration monitoring in vertical milling machines.
Effect of Polyester and Vinylester Resin Blends on the Physical and Mechanical Properties of Reinforced Composites Coconut Coir Fiber Muhammad Restu Muhammad Restu; Rahmat Fajrul
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.749

Abstract

This study aims to determine the effect of polyester and vinylester resin blends on the physical and mechanical properties of coconut coir fiber-reinforced composites. Coconut coir fiber was selected due to its abundant availability, although its utilization remains limited. Composites were fabricated using the hand lay-up method with a matrix blend of 70% polyester resin and 30% vinylester resin, with fiber volume fractions of 0%, 5%, 10%, 15%, and 25% (PV0–PV25). Mechanical testing was conducted using a Universal Testing Machine referring to the ASTM D638 standard, while fracture morphology was characterized using Scanning Electron Microscopy (SEM). The results showed that the PV0 specimen exhibited the highest mechanical properties, with a Tensile Strength of 32.30 MPa, Yield Strength of 26.95 MPa, Elongation at Yield of 2.28%, and Tensile Stress at Break of 11.95 MPa. The addition of coconut coir fiber instead reduced the composite's mechanical properties, supported by SEM results revealing fiber pull-out and void formation in the fiber-reinforced specimens. These findings indicate that the quality of fiber-matrix interfacial bonding and the minimization of microdefects play a more critical role in determining mechanical performance than the fiber volume fraction itself.
The Effect of Banana Stem Fiber Mixtures on Mechanical and Physical Properties Using a Polyester and Vinylester Blend Matrix M Rifki ALKindi; Rahmat Fajrul; Murdani
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.750

Abstract

Natural fiber-reinforced composites continue to be developed as lightweight, economical, and environmentally friendly alternatives to metals and synthetic composites. One natural fiber with strong potential is banana stem fiber, which is easily obtained and helps reduce environmental waste. This study aims to determine the effect of adding banana stem fiber on the mechanical and physical properties of a composite using a mixed matrix of polyester resin (70%) and vinylester resin (30%). The composites were fabricated using the hand lay-up method with fiber mass variations of 0, 2, 5, 7, and 12 grams, and were subsequently tested for impact strength according to the ASTM D6110 standard. The results show that the addition of banana stem fiber significantly increased the impact strength of the composite. The specimen without fiber (0 grams) produced the lowest absorbed energy and impact strength values, while the 12-gram fiber variation showed the best performance, with an average absorbed energy of 11.66 Joules and the highest impact strength of 0.090 J/mm². Variations in values among specimens of the same composition are presumed to result from the hand lay-up fabrication process, such as uneven fiber distribution and the formation of voids. Overall, the composite with 12 grams of banana stem fiber in a 70% polyester–30% vinylester matrix was identified as the best composition in this study.
Effect of Corn Husk Powder Mixture on Mechanical Properties Using a Matrix Polyester and Vinylester Ahyuda Ahyuda; Rahmat Fajrul
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.751

Abstract

The development of composite material technology continues to grow across various industries due to its advantages, including low density, high mechanical strength, and corrosion resistance. The use of synthetic fibers in composites has drawbacks in terms of environmental impact and production cost, making natural reinforcing materials such as corn husk powder a sustainable alternative. This study aims to determine the effect of adding corn husk powder on the mechanical and physical properties of a composite using a mixed matrix of polyester resin (70%) and vinylester resin (30%). The composites were fabricated using the hand lay-up method with corn husk powder mass variations of 0, 2, 5, 7, and 12 grams, and were tested for impact toughness using the Charpy method according to the ASTM D6110 standard. The results show that the addition of corn husk powder significantly increased the composite's impact toughness. Impact values increased progressively from 0.007 J/mm² at 0 grams, to 0.043 J/mm² (2 grams), 0.062 J/mm² (5 grams), 0.085 J/mm² (7 grams), reaching the highest value of 0.149 J/mm² at 12 grams. The 12-gram variation was identified as the best composition in this study, producing the highest absorbed energy and impact toughness. These results indicate that corn husk powder has strong potential as a natural reinforcing material in polyester–vinylester based composites, while also adding value to agricultural waste and supporting the development of environmentally friendly materials.
Analysis of the Effect of Polyester and Vinyl Ester Mixture on the Mechanical and Physical Properties of Composite Matrix Ranto Saputra; Rahmat Fajrul; Murdani
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.752

Abstract

The application of pure polyester resin as a polymer composite matrix is often limited by its inherent brittleness and low impact resistance. This study investigates the effects of incorporating vinyl ester resin into a polyester matrix at various weight ratios (100:0, 90:10, 80:20, 70:30, 60:40, and 50:50) using 1 vol% Methyl Ethyl Ketone Peroxide (MEKP) catalyst. Physical properties (density and porosity) were evaluated via Archimedes' fluid displacement principle, while impact toughness was characterized using Charpy impact testing according to ASTM D6110 standards. Fractographic and phase morphology analyses were conducted using Scanning Electron Microscopy (SEM). The experimental results demonstrate a progressive increase in impact toughness with higher vinyl ester concentrations, rising from 2.79 kJ/m² in pure polyester to a maximum value of 6.51 kJ/m² in the 50:50 blend, representing an improvement of approximately 133%. Physical evaluation showed a minor decrease in density from 1.182 g/cm³ to 1.155 g/cm³ and a slight increase in porosity up to 1.45%, which remained well below critical structural limits. SEM micrographs revealed a clear transition from a smooth, flat, brittle cleavage fracture in pure polyester to a rough, ductile-dominated fracture surface characterized by deep tear ridges and plastic deformation in higher vinyl ester blends, with no phase separation observed. Overall, the 50% polyester and 50% vinyl ester blend formulation provides the optimal combination of impact toughness, structural integrity, and phase compatibility for composite matrix applications.
Experimental Analysis of Major and Minor Flow Losses in Centrifugal Pump Piping Systems Syakri Syakri; Burhan Hafid; Abdul Gafur
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.753

Abstract

Pumping and piping systems play a crucial role in transporting fluids in industrial and laboratory applications. However, energy losses occurring within the piping network can significantly reduce hydraulic performance and overall system efficiency. This study aims to experimentally analyze major and minor head losses in a centrifugal pump piping system under controlled laboratory conditions. The experimental setup employed a ½-inch PVC pipe with three piping configurations, namely a straight pipe, a 45° elbow, and a 90° elbow. Flow conditions were varied by adjusting the valve opening to produce different discharge rates. The measured parameters included flow rate and pressure difference, while flow velocity, Reynolds number, major head loss, and minor head loss were determined through standard fluid mechanics calculations. The experimental results indicate that increasing the flow rate leads to a significant increase in total head loss due to higher flow velocity and greater friction along the pipe wall. Furthermore, the 90° elbow generated higher minor head loss than the 45° elbow because the sharper change in flow direction produced stronger turbulence. These findings are consistent with fluid flow theory and demonstrate that both flow rate and fitting geometry have a substantial influence on energy losses. The results can serve as a useful reference for designing and operating more efficient centrifugal pump piping systems.
Arduino Uno-Based Vibration Monitoring System Design Using The Sensor Mpu5060 Alwin Juhendra; Razali
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.754

Abstract

The development of manufacturing technology demands a machining process that produces high-quality and precise products. In the turning process, machine vibration is one of the factors that affect the quality of machining results, component life, and process stability. Excessive vibration can lead to a decrease in the surface quality of the workpiece as well as accelerate the wear of machine components. Therefore, a monitoring system is needed to effectively monitor the condition of engine vibration. This research aims to design and build an Arduino Uno-based lathe vibration monitoring system using MPU6050 sensors. The sensor is used to detect vibrations, while the Arduino Uno functions to process the measurement data. Tests are carried out with variations in spindle rotation speed and cutting depth to obtain vibration characteristics during the turning process. The results of the study are expected to be able to provide information on the condition of the lathe's vibration so that it can support monitoring machine conditions, preventive maintenance, and improving the quality of the turning process.

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