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International Journal of Enterprise Modelling
Published by International Enterprise Integration Association
ISSN : 16939220     EISSN : 29878713     DOI : https://doi.org/10.35335/emod
Core Subject : Economy, Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Transportation
The International Journal of Enterprise Modelling serves as a venue for anyone interested in business and management modelling. It investigates the conceptual forerunners and theoretical underpinnings that lead to research modelling procedures that inform research and practice.
Arjuna Subject : Matematika - Matematika Terapan
Articles 137 Documents
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Analysis of lora communication reliability using gnu radio in simulated LEO satellite channels Muhammad Fathi Irfan; Herwin Melyanus Hutapea; Maulana Ali Arifin; Achmad Darwin
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.189

Abstract

Low Earth Orbit (LEO) satellite communication using LoRa modulation faces persistent challenges including Doppler frequency shifts, free-space path loss, and synchronization instability that limit communication reliability for satellite-based Internet of Things (IoT) applications. Although LoRa has been widely adopted for terrestrial long-range communication, systematic Software-Defined Radio (SDR) evaluations of LoRa under LEO-like channel impairments remain scarce, particularly studies that simultaneously analyze multiple performance indicators across a complete Spreading Factor (SF) range. This study addresses that gap by proposing a reproducible GNU Radio-based SDR simulation framework that integrates LEO channel impairments (Doppler shift, free-space path loss, and atmospheric attenuation) and simultaneously evaluates Bit Error Rate (BER), Signal-to-Noise Ratio (SNR), and Time on Air (ToA) for 24 SF–CR configurations (SF7–SF12 × CR4/5–CR4/8) at a fixed bandwidth of 125 kHz. The novelty of this work lies in the joint multi-metric SDR assessment of LoRa under satellite-like impairments and the identification of practical SF–CR operating points that balance reliability and efficiency for prospective LEO deployments. The results show that SF7 with CR4/6 and CR4/7 yields the most stable performance, achieving BER as low as 0.01, SNR around −8 to −9 dB, and ToA below 0.03 s, while configurations at SF11–SF12 exhibit severe BER degradation (≥ 0.86) and ToA up to 1.85 s due to synchronization sensitivity under Doppler-affected conditions. These findings provide quantitative guidance for parameter selection in LoRa-based LEO communication systems, particularly the RIDU-Sat development program in Indonesia.
Empirical characterization of test platform effects on single-axis CubeSat reaction wheel ADCS with IoT-based PID tuning Bayu Nuar Khadapi Hasibuan; Dananjaya Ariateja; Satriya Utama; Rangga Taqwa; Ria Aprilianingsih
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.193

Abstract

Terrestrial testing of CubeSat Attitude Determination and Control System (ADCS) prototypes presents fundamental validation challenges because no laboratory platform perfectly replicates the free-floating microgravity condition of orbit. The empirical effect of such platform-induced dynamics on closed-loop reaction-wheel control performance, particularly for low-cost academic CubeSat programs, remains insufficiently characterized. This study aims to empirically compare two widely used low-cost test platforms a string suspension and a free bearing for a single-axis reaction-wheel ADCS prototype and to quantify how each platform’s parasitic dynamics constrain PID controller performance. A 1.5U CubeSat-class prototype with an ESP32-based controller, BNO055 IMU, and a Blynk Cloud IoT interface for real-time PID tuning was tested over five sessions (>1 hour of cumulative active testing). Performance was quantified using the Time-in-±5° metric, error standard deviation, settling time, and number of direction reversals. Quantitative results show that the string suspension yields a peak Time-in-±5° of 8.8% with error standard deviation of ±90.7–119.9°, driven by torsional-pendulum dynamics, while the free bearing yields a peak Time-in-±5° of only 1.2% with a stuck-and-jump signature characteristic of stiction. A Karnopp-friction simulation in Python reproduces a permanent steady-state error of ~5° under stiction, quantitatively validating stiction as the dominant non-linearity. The novelty of this work lies in the integrated combination of empirical multi-platform characterization, Karnopp-based stiction validation, and an open-source IoT-based PID tuning framework within a single low-cost experimental system, providing actionable guidance for academic CubeSat ADCS development under limited-facility conditions.
Literature review on the development and trends of battery technology in Indonesia (2020–2025) Ria Aprilianingsih; Uvi Desi Fatmawati; Achmad Darwin; Nahdya Aufa Hayla Anwar; Bayu Nuar Khadapi Hasibuan
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.195

Abstract

The worldwide shift toward low-carbon energy systems has intensified demand for advanced battery technologies, particularly in the context of electric vehicle (EV) proliferation. Despite Indonesia's strategic position as the world's largest nickel producer  holding approximately 21% of global nickel reserves  comprehensive scholarly synthesis that integrates material innovation, industrial policy, regulatory frameworks, recycling systems, and consumer adoption within a unified analytical framework remains absent from the existing literature. This gap motivates the present study, which employs a Systematic Literature Review (SLR) methodology drawing upon 26 peer-reviewed articles and reports published between 2020 and 2025, sourced from IEEE Xplore, ScienceDirect, SpringerLink, Scopus, and Google Scholar. Thematic content analysis was applied to classify findings across nine interconnected dimensions: battery material evolution, manufacturing investment, charging infrastructure, regulatory challenges, recycling systems, consumer behavior, environmental impact, SWOT analysis, and emerging technologies. The principal contribution of this study lies in constructing an integrated ecosystem mapping of Indonesia's battery industry  a synthesis not previously offered in the literature  revealing that while NMC and LFP lithium-ion technologies have been rapidly adopted and manufacturing capacity is projected to reach 140 GWh by 2030, critical structural weaknesses persist in domestic research capacity, regulatory harmonization, and circular economy implementation. Solid-state and sodium-ion batteries are identified as strategically significant future directions. These findings offer actionable guidance for policymakers, researchers, and industry stakeholders seeking to strengthen Indonesia's long-term competitiveness in the global battery supply chain.
Implementation of GMSK Modulation Using GNU Radio for Cube Satellite De Shepherd Guella Winisia Zega; Dananjaya Ariateja; Herwin Hutapea
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.196

Abstract

The CubeSat platform has evolved to support a wide range of space missions, modulation schemes, and frequency bands, leading to a need for dependable ground-to-satellite communication systems. Software-defined radio (SDR) has become the modern RF communication system chosen method. The goal of this research is to be able to communicate with a satellite using a configurable SDR and GNU Radio. Other research has conducted GMSK signal simulations, SDR-to-SDR testing, or receiver-side validation only, while this study evaluates GMSK modulation using a CubeSat Engineering Model (EM). Signal was conducted with 276-byte data packets. Unpadded SDR transmissions failed to communicate, whereas a conventional RF signal generator achieved 100% success. Review of the RF generator revealed that it produces 1000 transmission symbols by default, including the data packet. Considering the longer transmission symbols, extra null symbols (zero-padding) were added to the end of the SDR packet in increments of 5 to 50 bytes. Symbol adjustment attempt led to a 100% packet-rate success of the GMSK communication link between the SDR and the EM. Findings revealed that consideration of signal factors such as transmission length, flowgraph configurations, and hardware compatibility is critical for communication performance.
A literature review: image restoration and enhancement techniques for slow scan television Eliana Maharani; Dananjaya Ariateja; Uvi Desi Fatmawati
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.197

Abstract

This systematic literature study seeks to computationally develop the optimum picture restoration architecture to handle the dual analog-digital degradation (strip noise and motion blur) of Slow Scan Television (SSTV) transmissions in narrowband radio frequencies during emergency operations. The study critically assessed 28 peer-reviewed algorithmic frameworks published between 2007 and 2025 using PRISMA criteria. The data synthesis procedure used a comparative analysis matrix to evaluate algorithms' quantitative efficacy, including PSNR and SSIM, against specific analogue failure instances. Under compounding degradation, individual computational methods fail, as shown by the synthesis. When exposed to severe analogue noise, unguided generative models hallucinate, whereas conventional spatial filters degrade edges. Comparative empirical research shows that a cascaded hybrid framework works best. Using a 5x5 median filter with 1D directed filtering as pre-processing suppresses high-density impulsive anomalies, improving baseline PSNR by 2.4 dB. The kernel-guided diffusion model over the pre-cleaned matrix accurately reconstructs structural weaknesses, raising SSIM indices to 0.92 even in datasets with significant oscillator blur. A quantitatively validated, domain-specific restoration process that combines spatial denoising with advanced generative priors is the main contribution of this research. This study scientifically proves that kernel-based diffusion models need spatial variance pre-filtering to work in radio-degraded scenarios, providing a reliable emergency visual communication framework for authentic signal reconstruction in internet-deprived environments.
SIKELAS: A smart safety system for the elderly using AI and IoT technology Michael Faldo; De Sheperd Guella Winisia Zega; Hizkia Purba; Eliana Maharani
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.199

Abstract

The number of elderly people in Indonesia continues to rise every year, posing serious challenges regarding their well-being and safety, particularly in nursing homes where caregiver shortages and limited monitoring capabilities remain critical issues. Existing elderly monitoring systems are typically limited to single-modality approaches, such as vision-only fall detection or single-sensor environmental monitoring, lacking real-time multimodal integration. To address these gaps, the “SIKELAS” (Smart Safety System for the Elderly) system was developed as a novel integrated solution combining AI technology, anomaly detection, voice recognition, and five environmental sensors into a single unified real-time monitoring platform. The novelty of SIKELAS lies in its simultaneous integration of MediaPipe-based fall and gesture detection, Speech-to-Text voice recognition, and multi-sensor environmental monitoring coordinated through an ESP32 microcontroller and Flask back-end, delivering automated Telegram alerts with an average response time under 1 second. This research employs an experimental quantitative approach with controlled laboratory testing across five datasets. Key results: gesture detection accuracy 98.38%, fall detection accuracy 89.16%, gas detection above 2500 threshold, flame detection below 500 threshold, and ultrasonic error below 3%. SIKELAS outperforms previous single-modality systems, delivering a comprehensive, measurable solution that reduces caregiver workload through automated multimodal monitoring and real-time emergency notifications.
Implementation of a ROS 2-Based Differential Robot Drive System in a Robot Control System Ivan Rivaldo Butarbutar; Roni Permana Saputra; Hendrana Tjahjadi
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.200

Abstract

This study aims to develop and evaluate a ROS2-based differential-drive robot control system using a low-cost embedded robotic architecture consisting of a Raspberry Pi 4 and Arduino Nano. The proposed system redesigns the previous robot architecture by simplifying the embedded controller configuration from multiple microcontrollers into a single Arduino Nano integrated with dual independent BLDC motor drivers. The system utilizes ROS2 communication topics including /cmd_vel, /target_rpm, /wheel_rpm, and /odom to enable real-time motion control, wheel speed feedback, and odometry estimation. Motor control is implemented using a GP8503 DAC module and ZS-X11H motor drivers, while wheel RPM feedback is acquired using rotary encoders. Experimental results show that the robot is capable of performing real-time differential-drive motion and successfully generating real-time wheel RPM feedback and odometry information. However, deviations of approximately 40–45% between target RPM and actual RPM were observed due to the absence of PID-based wheel speed correction, wheel slip, and mechanical load imbalance and motor nonlinearity. This research demonstrates the successful integration of ROS2 middleware with a simplified low-cost embedded robotic architecture as a foundation for future autonomous navigation and localization development.

Page 14 of 14 | Total Record : 137

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