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ARRUS Journal of Engineering and Technology
Published by Yayasan Ahmar Cendekia Indonesia
ISSN : 27767914     EISSN : 28073045     DOI : https://doi.org/10.35877/jetech.v1i1
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science
ARRUS Journal of Engineering and Technology preserves prompt publication of manuscripts that meet the broad-spectrum criteria of scientific excellence. Areas of interest include, but are not limited to: Aerospace Engineering Architecture Evaluations Automation and Mechatronics Engineering Bioengineering Chemical Technology Civil and Architecture Engineering Computer Science Construction Control Systems Engineering Data Engineering Electrical, Electronics and Computer Engineering Engineering Mathematics Engineering Science Environmental Engineering and technology Fluid Engineering Genetic Algorithms Information Engineering and Technology Information Theory Marine and Agriculture engineering Material and Chemical Engineering Materials & Technology Engineering Mechanical, Industrial and Manufacturing Engineering Nuclear Engineering Optical Engineering Petroleum and Mining Engineering Petroleum Engineering Physics Robotics & Automation Engineering Software Engineering Statistical Techniques Thermodynamics
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 96 Documents
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Implementasi Sistem Integrasi Layanan Deklarasi Keimigrasian All Indonesia di Tempat Pemeriksaan Imigrasi Bandara Ngurah Rai, Bali Ida Bagus Yogi Pranaditha; Ni Putu Tirka Widanti; Ida Ayu Putu Sri Widnyani
ARRUS Journal of Engineering and Technology Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The objective of this study is to analyze the implementation of the All Indonesia Immigration Declaration Service Integration System at the Ngurah Rai Airport Immigration Checkpoint in Bali, to identify obstacles and challenges, and to formulate strategic and operational solutions. The impetus for this research stems from two key factors. Firstly, the number of international travelers has reached 15 million per year, exhibiting a 14% growth rate. Secondly, the fragmentation of health, customs, and immigration declaration systems has led to inefficiencies and security gaps in the past. The All Indonesia system, which has been fully operational since October 2025, integrates all declarations into a single digital platform with an H-3 arrival declaration feature. The present study employs a descriptive qualitative method with a case study approach. The data were collected through a variety of methods, including in-depth interviews with key informants from the Ngurah Rai Class I Special TPI Immigration Office, direct observation in the international arrival area, document review, and analysis of system submission data from October 2025 to January 2026. The data analysis employed the interactive model developed by Miles and Huberman, with Max Weber's Rational Bureaucracy theory serving as the analytical framework. The study's findings indicate that the system's implementation successfully reduced inspection times by 60–70 percent at manual counters and 80 percent at autogates. Furthermore, the system was adopted by 2.5 million passengers within four months. However, a number of technical challenges were identified, including system disruptions and recurring OCR errors, low pre-arrival data entry rates among Indonesian citizens (30–38 percent), suboptimal cross-agency data interoperability, and limited multilingual support. Solutions were formulated in the Adaptive Digital Bureaucracy Model, which encompasses the strengthening of a resilient system architecture, adaptive knowledge management, structured collaborative governance, user-centered design, and transformational change management.
Analysis of Business Model Innovation Using Product - Service System Mapping in the Coating Industry Nanang Alamsyah; Bunga Hardiyana; Mohammad Rachman Waluyo; Wendy Febrianty Mardhiyah
ARRUS Journal of Engineering and Technology Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech4462

Abstract

This study examines the business model transformation of PT XYZ, an Indonesian coating manufacturer, through Product-Service System (PSS) implementation to enhance competitiveness and create added value in the furniture coating industry. The research employs a qualitative case study approach using PSS questionnaires with Yes/No categorical questions, in-depth interviews with the Plant Manager, non-participant observations, and secondary data from company documents and scientific literature on PSS frameworks. Data were analyzed through PSS Matrix mapping to identify current position, expected future position, and capability-based eligibility across nine PSS quadrants, followed by gap analysis and trade-off assessment to formulate strategic recommendations. The results show that PT XYZ currently operates in Quadrant 4 (Product-Related Software) with a color-detection application as a usage enabler, demonstrating initial transition from conventional product sales toward use-oriented services. Eligibility analysis reveals the company possesses adequate capabilities to enter seven PSS quadrants, supported by expert human resources, financial capacity, and solid business networks. The findings suggest that PT XYZ should strategically focus on three priority quadrants: Quadrant 4 (enhancing digital platforms with integrated technical data and consultation services), Quadrant 5 (developing equipment leasing services with bundling schemes), and Quadrant 8 (implementing outsourcing strategies through professional contractors), enabling gradual transformation from product seller to solution provider that delivers higher functional value and strengthens long-term competitive advantage in saturated global markets.
A Flutter-Based Mobile Inventory Management System for Improving Stock Control in Furniture and Electronic Businesses Ahmad Khaerudin; Basuki Rakhim Setya Permana; Sigit Auliana; Gagah Dwiki Putra Aryono
ARRUS Journal of Engineering and Technology Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

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Abstract

Inventory management plays a critical role in maintaining the efficiency of business operational activities. However, many small and medium-sized enterprises still rely on manual inventory recording systems, resulting in data inaccuracies, reporting delays, and difficulties in monitoring stock availability. This study aims to develop and implement a mobile-based inventory management information system using the Flutter framework integrated with Firebase database technology. The research was conducted at PT Mandiri Jaya, a company specializing in furniture and electronic product sales in Pandeglang Regency, Indonesia. The proposed system was designed to support real-time stock-in and stock-out transaction recording, product data management, and automated inventory reporting. This study employed a system development methodology consisting of requirement analysis, system design, application development, implementation, and system testing. The results indicate that the developed application successfully improves the efficiency and accuracy of inventory management processes, minimizes human errors in data recording, and provides faster access to inventory information for managerial decision-making. Furthermore, the implementation of Flutter technology enables cross-platform mobile access and enhances the overall effectiveness of inventory management operations.
Forecasting IDR Exchange Rate to USD Using Hybrid ARIMA – LSTM Zulkifli Rais; Sitti Masyitah Meliyani R; Astrid Suwardani Sumarno; Agung Tri Utomo
ARRUS Journal of Engineering and Technology Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech4899

Abstract

Time series forecasting often involves both linear and nonlinear patterns, making the use of a single method less effective. This study aims to forecast the exchange rate of the Indonesian Rupiah (IDR) against the United States Dollar (USD) using a hybrid ARIMA–LSTM model. ARIMA is used to capture linear patterns, while LSTM is employed to model nonlinear residual components. The data used are weekly exchange rates from January 2020 to August 2025. Model performance is evaluated using Mean Absolute Percentage Error (MAPE). The results show that the hybrid ARIMA–LSTM model produces better forecasting accuracy compared to individual ARIMA and LSTM models, with the lowest MAPE value of 0.73%. This indicates that combining linear and nonlinear modeling approaches improves forecasting performance for complex time series data.
WarungSync: Development of an Android-Based Integrated Warung Management Application Using Kotlin and Firebase Muh. Akbar; Ahmad Dinejad Halik
ARRUS Journal of Engineering and Technology Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech4924

Abstract

This study aims to design and develop WarungSync, an Android-based integrated warung management application intended to assist micro, small, and medium enterprise (MSME) owners in digitalizing their daily business operations. The majority of traditional warung businesses in Indonesia are still managed manually, resulting in inaccurate stock data, unrecorded transactions, and the absence of systematic financial reporting. This study employs the Waterfall software development methodology, consisting of five sequential phases: requirements analysis, system design, implementation, testing, and deployment. The application was built using the Kotlin programming language with Model-View-ViewModel (MVVM) architecture and Firebase as the cloud backend infrastructure, encompassing Firebase Authentication for user security and Firebase Firestore for real-time data synchronization. The results demonstrate that WarungSync successfully integrates Point of Sale (POS) and inventory management functions within a single mobile platform, featuring a real-time dashboard, smart inventory management with low-stock notifications, a digital cashier system, sales reporting with weekly chart visualization, and automated cloud synchronization. The findings of this study reveal that all 13 functional features of WarungSync passed Black Box Testing, confirming that the application operates in accordance with the specified functional requirements and is capable of replacing conventional manual management practices in warung businesses.
Measuring Systemic Risk of Indonesian State-Owned Banks Using CoVaR and Hybrid LASSO-QRNN Annisa Syalsabila
ARRUS Journal of Engineering and Technology Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech4941

Abstract

This study examines the systemic risk contributions of four major Indonesian state-owned banks, specifically BCA, BRI, Bank Mandiri, and BNI, to the Jakarta Composite Index (IHSG) using a Conditional Value-at-Risk (CoVaR) framework estimated through a Hybrid LASSO-QRNN approach. The study employs 2,491 daily trading observations from November 2016 to June 2026, sourced from Yahoo Finance, Bank Indonesia, and Investing.com, with out-of-sample evaluation on 375 observations from December 2024 to June 2026. Following the hybrid framework of Syalsabila et al. (2024), Step 1 applies LASSO-Quantile Regression (LASSO-QR) to select macroeconomic contagion amplifiers at quantiles q = 0.05 and q = 0.01, corresponding to 95% and 99% confidence levels respectively, while Step 2 trains a Quantile Regression Neural Network (QRNN) on the selected features to estimate conditional quantiles of system-level returns. The results reveal that BNI is the most systemically important institution, with mean ?CoVaR of -0.920% at 95% confidence and -1.991% at 99% confidence, followed by BRI, Bank Mandiri, and BCA. LASSO-QR retains all five macroeconomic variables in the system-level model, contrasting with the sparse two-to-five variable selection at the institution level. The findings further document BRI, Mandiri, and BNI each show a statistically significant attenuation of ?CoVaR during the 2026 domestic confidence crisisss three banks, consistent with the theoretical prediction that investor confidence deterioration compresses idiosyncratic institution-level risk contributions when market-wide confidence collapses.

Page 10 of 10 | Total Record : 96

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