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Doni Abdul Fatah
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Jurusan Teknik Informatika - Fakultas Teknik - Universitas Trunojoyo Madura Jl. Raya Telang PO BOX 2 Kamal, Bangkalan 69162
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INDONESIA
Jurnal Simantec
Published by Universitas Trunojoyo Madura
ISSN : 20882130     EISSN : 25024884     DOI : https://doi.org/10.21107/simantec.v8i2
Core Subject : Science,
Computer Science & IT
Jurnal Simantec merupakan Jurnal Ilmiah dibawah naungan Program Studi Manajemen Informatika, Fakultas Teknik Universitas Trunojoyo Madura. Jurnal Simantec diterbitkan pertama kali pada bulan Desember 2009, dan diterbitkan dua kali dalam setahun. Jurnal Simantec berisi artikel-artikel ilmiah yang meliputi bidang-bidang : informatika, Sistem Informasi, Multimedia, Mekatronika, Jaringan serta hasil penelitian lainya yang terkait dengan bidang-bidang tersebut.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 202 Documents
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Evaluating the impact of trust and security on e-wallet adoption: insights from the UTAUT2 model in Indonesia Riza, Aulia Alka; Aditya, Addin
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i2.29623

Abstract

The rapid expansion of financial technology (Fintech) in Indonesia has led to a significant rise in e-wallet usage. Despite this growth, the key factors influencing user acceptance remain insufficiently explored, particularly regarding the integration of trust and security within the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. This research seeks to analyze the behavioral intentions of e-wallet users by incorporating perceived trust and perceived security into the UTAUT2 model. A quantitative approach is employed, gathering primary data from Indonesian e-wallet users through a structured online survey. The study applies a purposive sampling method, ensuring that all participants have prior experience with e-wallet usage. To examine the relationships among performance expectancy, social influence, facilitating conditions, hedonic motivation, perceived trust, perceived security, and behavioral intention, Multiple Regression Analysis is utilized. The findings indicate that perceived trust and perceived security play a crucial role in shaping users' behavioral intentions regarding e-wallet adoption. However, factors such as performance expectancy, social influence, facilitating conditions, and hedonic motivation do not significantly influence behavioral intention. This suggests that users prioritize security and reliability over external social influences or entertainment value when deciding to adopt e-wallets. Despite its contributions, this study has limitations, particularly its focus on a single e-wallet platform and sample size constraints, which may affect the broader applicability of the findings. Future research should expand its scope by examining multiple e-wallet platforms, incorporating qualitative insights, and analyzing the impact of regulatory policies on trust and security to enhance the understanding of e-wallet adoption dynamics.Keywords: Behavioral Intention, E-Wallet Adoption, Fintech, Perceived Trust, Perceived Security, UTAUT2
Application of digital image processing to the measurement of Leaf Area Index (LAI) of rice plants (Oryza Sativa L.) Sudianto, Achmad Imam; Husna, Arifah
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i2.30151

Abstract

Indonesia's main staple food, rice, is by far the largest commodity. In improving food security through the productivity of this local staple crop, care is needed from planting to harvesting. One of the physiological parameters that can determine biomass production and photosynthesis in rice is the leaf. We can measure this part of the plant through various methods ranging from conventional techniques to computer image processing techniques such as canny edge detection and ImageJ software. Through the comparison of these two methods, it is found that canny edge detection has a smaller average error value when compared to ImageJ, which is 3.76% and 4.53% respectively. With this final value, it is proven that canny edge detection can be an alternative technique to measure the value of LAI (Leaf Area Index) in rice plants.Keywords: Canny, ImageJ, Image Processing, Leaf Width, Rice
Application of optimization techniques to maximize uniform sales profit using the Simplex Method Soesilo, Budi; Kurnia Sandy, Luqman; Imamah, Imamah
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i2.30547

Abstract

The uniform sales industry in Indonesia often faces challenges related to resource limitations that affect sales profitability. CV. Titis Konveksi experiences difficulties in optimizing uniform sales to maximize profit. This study applies the Simplex Method, a linear programming approach, to determine the optimal sales combination that generates maximum profit. In addition, this research develops a web-based information system to automate the optimization calculation, allowing users to easily determine the most profitable sales combination. The system is developed using Flask as the backend framework, with PHP for the user interface and MySQL for managing sales data, constraints, and optimization results. The data collected are primary data consisting of sales quantities from January 2022 to December 2023, selling prices and profits per product, raw material usage, machine capacity, and available working days. System evaluation was conducted by comparing calculation results from the developed system with manual calculations using Microsoft Excel and optimization results from QM for Windows V5. Functionality testing was also carried out using black box testing. Based on the results of the functionality testing, all of the system's main functions successfully operated as expected. According to the optimization results applied in the system, the optimal product sales combination to achieve maximum profit consists of 4.085 units of almamater blazers and 1.572 units of graduation gowns, generating a maximum profit of IDR 132,001,700. Compared to CV. Titis Konveksi’s previous actual profit of IDR 102,859,000, the optimized sales strategy offers a potential increase of IDR 29,142,700. The developed web-based information system has been proven effective in improving CV. Titis Konveksi's profitability by providing more optimal sales recommendations.Keywords: Profit Optimization, Simplex Method, Linear Programming, Garment Industry.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN MITRA JASA PENGIRIMAN BARANG PADA CABANG KEFAMENANU DENGAN METODE MULTI ATTRIBUTE UTILITY THEORY (MAUT) Tae, Margaretha; Kelen, Yoseph Pius Kurniawan; Bobu, Fetronela Rambu
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i2.29617

Abstract

Shipping is the process of transporting goods from producers to consumers. Most goods will be shipped through a cargo transportation network (physical goods) delivered by land, sea and air. The increasing number of internet users among the public encourages more people to ship goods online. The many choices of shipping services available often cause confusion and obstacles for the public in determining the best service according to their needs, both in terms of cost, delivery time, type of payment and shipping costs. To avoid existing problems, a decision support system is needed that can make it easier for the public to make the right decision in choosing a shipping service partner. The Decision Support System (DSS) for selecting a shipping service partner at the Kefamenanu branch aims to help the public make more precise and efficient decisions in choosing a shipping partner. The method used in this study is the Multi Attribute Utility Theory (MAUT), which allows comparison of various important criteria in selecting a delivery partner. The decision-making process is carried out by assessing each alternative delivery partner based on the weight of the previously determined criteria. Each partner is then given a score for each criterion, which is then calculated using the maut method to produce a final score with the highest score from each alternative. The results of this system are able to provide the best recommendations in selecting delivery services objectively. That way, the Kefamenanu community can make wiser decisions. The implementation of this SPK can improve operational efficiency and community satisfaction, as well as reduce errors in decision making. Thus, this system can help the community to improve the performance of goods delivery at the Kefamenanu branch.Keywords: Delivery of Goods, Decision Support System (DSS), Kefamenanu Community, Maut, Performance
Ethnomathematical Exploration Batak Tribal Ulos Fabric design in the digital learning media of triangle and rectangular geometry Purba, Martha Lestari; Hariyadi, Bambang; Zurweni, Zurweni; Haryanto, Haryanto
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i2.29927

Abstract

This study aims to explore the ethnomathematical values contained in the design of Ulos Batak fabric and its use in contextual digital learning media of mathematics on the topic of triangle and quadrilateral geometry. This type of research is qualitative descriptive (exploratory study) with a source triangulation method. The subjects of the study include Ulos craftsmen or distributors, mathematics teachers, and Batak tribal elders in Jambi City. Data collection was carried out through interviews, observations, documentation, and literature studies, then analyzed descriptively through data triangulation techniques to ensure the validity of the findings. The results of the study show that this ethnomathematics-based digital learning media has been validated by grade VIII mathematics teachers with an average percentage of 96.45% (very valid). This shows that motifs and patterns on Ulos cloth dominate contain geometric concepts, especially flat builds, which can be used as contextual learning media to support students' understanding of triangle and quadrilateral geometry material.Keywords: Ethnomathematics, Ulos Cloth, Digital Learning Media, Quadrilateral Triangle
MRI image enhancement of the brain using U-NET Etniko Siagian, Pangestu Sandya; Puspaningrum, Eva Yulia; Wan Awang, Wan Suryani; Mas Diyasa, I Gede Susrama
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i2.29775

Abstract

The quality of Magnetic Resonance Imaging (MRI) images is often compromised by various types of noise, such as salt, pepper, salt-and-pepper, and speckle noise, caused by technical or environmental disturbances. This study aims to develop a brain MRI image denoising model based on the U-Net architecture, capable of effectively removing different types of noise. The methodology includes collecting normal brain MRI datasets, applying data augmentation to increase variability, and introducing artificial noise to simulate possible noise conditions. The U-Net model is trained and evaluated using the Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR) metrics. The novelty of this study lies in its combination of augmentation techniques, multi-intensity artificial noise variations, and its exclusive focus on normal brain MRI images. The results demonstrate that the U-Net model achieves optimal performance on salt-and-pepper noise at an intensity of 0.1, marked by the highest PSNR value of 37.2047 dB and the lowest MSE value of 0.000207. Conversely, the model shows the lowest performance on high-intensity speckle noise, indicating greater challenges in addressing multiplicative noise. This study contributes a systematic and empirically tested approach to improving the quality of brain MRI images with high efficiency, supporting the development of image-based diagnostic systems in the medical field.Keywords: Deep Learning, Denoising, Image Enhancement, Noise, U-Net.
Designing a student financial management mobile application using personal extreme programming method Jaka Pratama, Moh Alfrizal Septian; Tri Hidayat, Ahmad
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v%vi%i.27960

Abstract

Managing finances effectively is a common challenge frequently faced by university students. Difficulties in managing finances are often caused by a lack of understanding of income and expenses, making it difficult for many students to save or create a proper budget. This study aims to develop a mobile application to help students manage their monthly finances. The application is expected to assist students in understanding their financial condition and making wiser financial decisions. It is designed for the Android platform using the Dart programming language, which is known for its flexibility and strong community support. The Personal Extreme Programming (PXP) approach was chosen as the development method due to its adaptive nature and ability to respond quickly to changing requirements, in line with the dynamic nature of the tech world. The application includes key features such as daily income and expense tracking, transaction categorization, and financial reports presented in an easy-to-understand visual format. Students can utilize these features to monitor their finances in a structured manner. Based on the results of black box testing, all of the application's main features performed as expected, with a 100% success rate. Meanwhile, usability testing involving 20 student respondents showed an average user satisfaction score of 4.3 out of 5, with 92% of respondents stating that the visualization feature was very helpful in understanding spending patterns. This research contributes to student financial management and demonstrates the effectiveness of the PXP method in developing mobile applications to solve real-world problems.Keywords: Android, Mobile Application, Financial Management, Students, Personal Extreme Programming.
Implementation of web-based motorcycle workshop management application to improve efficiency and service quality Adhiatma, Novri; Ikhsan, Muhammad; Purnama, Fery; Magfira, Fortia
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i2.29797

Abstract

The purpose of this study is to create a web-based motorcycle workshop management application that can improve operational efficiency and quality of service provided by workshops. Many motorcycle workshops still use manual systems. This causes many problems, such as errors in recording service history, inaccuracy in managing spare part stock, and difficulty in setting customer service schedules. To solve these problems, this application is designed using the rapid application development (RAD) method, this method allows application development to be carried out quickly and involves users in every stage. The Black Box Testing method is used to test the functionality of the application without examining the internal structure of the code. The test results show that all the main features of the application login, spare part management, service transaction recording, product search, out of stock notification, receipt printing, and logout run well. In addition, performance testing shows that the application can handle a large user load without crashing and has a response time of less than 3 seconds. It is expected that this application will help workshops record motorcycle maintenance history, monitor stock in real-time, and increase customer satisfaction by providing faster, more precise, and more organized services.Keywords: Web Application, Black Box Testing, Operational Efficiency, Motorcycle Workshop Management, Rapid Application Development
The design of a prototype monitoring and control device for household electrical appliances based on the internet of things (IoT) using Pzem-004T sensor Susanto, Eri Sasmita; Bulan, Santi; Dinola, Dinola
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i2.29078

Abstract

The increasing demand for electrical energy poses challenges such as energy waste, which impacts household expenses and the environment. This study aims to design a prototype for monitoring and controlling electrical devices based on the Internet of Things (IoT) using the PZEM-004T sensor. The system is designed to provide real-time electricity consumption information through the Blynk application and allow users to remotely control electrical devices. This prototype utilizes an ESP32 microcontroller and a Solid State Relay (SSR) module for operation and monitoring. The development method used is prototyping, which includes requirement analysis, design, implementation, and testing. Testing was conducted in several households, and the results showed that the PZEM-004T sensor has a high accuracy level, with an average measurement error below 5%. The system provides detailed information on electricity consumption and enables energy savings through more efficient device control. The findings of this study are expected to serve as a practical solution for households to monitor and control electricity usage, support energy efficiency, and reduce electricity costs. Furthermore, this prototype can be further developed for larger-scale applications Keywords: device control, electricity monitoring, PZEM-004T sensor, Internet of Things (IoT)
Optimization of facial recognition authentication system using InceptionResNetV1 with Pretrained VGGFACE2 Gunawan, Ellexia Leonie; Mas Diyasa, I Gede Susrama; Jauharis Saputra, Wahyu Syaifullah
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i2.29776

Abstract

Face recognition as a biometric authentication method continues to evolve due to its high security and ease of use. However, training models from scratch faces challenges such as the need for large datasets and high computational resources. This study aims to optimize the face authentication system using the InceptionResNetV1 architecture with a transfer learning approach from the pretrained VGGFace2 model and to compare its performance with CASIA-WebFace. Face detection is conducted using YOLOv8, face embeddings are generated by InceptionResNetV1, and authentication is performed by calculating the Euclidean distance between embeddings. Face data were collected from university students and divided into training and testing datasets. Performance evaluation includes accuracy, precision, recall, F1-score, and the confusion matrix. The results show that the VGGFace2 model achieved an accuracy of 98.75%, a recall of 100%, and an F1-score of 99.26%, with no False Negatives, while CASIA-WebFace achieved an accuracy of 86.25% with a recall of 85.07%. The main contribution of this study is to demonstrate that the use of transfer learning with the pretrained VGGFace2 model can significantly improve the accuracy of face authentication systems and to show its effectiveness for developing systems with limited data and computational resources. This study contributes by highlighting the superiority of the pretrained VGGFace2 model in face authentication systems and emphasizing the effectiveness of transfer learning for implementing accurate systems under resource constraints.Keywords: Authentication System, InceptionResNetV1, Face Recognition, Transfer Learning, VGGFace2

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