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Ilwan Syafrinal
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jodens@uvers.ac.id
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Universitas Universal Pasir Putih, Bengkong Sadai, Kec. Bengkong, Kota Batam, Kepulauan Riau
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JoDENS: Journal of Digital Ecosystem for Natural Sustainability
Published by Universitas Universal
ISSN : -     EISSN : 27986179     DOI : 10.63643/jodens.v5i1.299
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Jurnal ini mencakup seluruh konsep teoritis dan aplikasi informatika/komputasi dalam Membangun Ekosistem Digital untuk Kelestarian Alam (dunia), yang meliputi, namun tidak terbatas pada: Artificial Intelligence Big Data Bioinformatics Game Development Geographical Information Systems Image Processing Information Systems Internet of Things Multimedia Engineering Software Engineering.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 90 Documents
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PERANCANGAN IDENTITAS VISUAL PADA PRODUK UMKM KACANG MANIS OOPA UNTUK MENDUKUNG BRAND REFRESHMENT Kelvin Falencio; Yonky Pernando; Musliadi KH
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.373

Abstract

OOPA Sweet Nuts, a Batam MSME, faces obstacles entering modern retail due to packaging and visual identity limitations, specifically lacking essential product information and an optimized logo. This research aims to rebrand the product through a visual identity and packaging refresh, creating a more structured and attractive communication medium. Utilizing the ADDIE model and a Human-Centered Design (HCD) approach, the design process involved digitizing the logo into a vector format, developing a circular badge system, and redesigning the stand-up pouch layout using a grid system with a transparent window. The design was evaluated through media expert validation for feasibility, alongside User Acceptance Testing (UAT) with 30 respondents to measure acceptance. The research yielded a standardized, functional packaging and visual identity ready for printing. This redesign strengthens the packaging's communicative function, increasing brand competitiveness and awareness. Future research should test the design's market effectiveness regarding consumer purchase intention and explore applications in digital promotional media.
Desain Antarmuka Pengguna Aplikasi Pemesanan Menu Cafe Berbasis User-Centered Design iza Netrysa; Suryo Widiantoro
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.374

Abstract

This research addresses long customer queues and manual order-recording errors at Cafe Sudut 270 Street Coffee. To solve these issues, the study designs a menu ordering system focused on an adaptive and user-friendly interface. The design process applies the User-Centered Design (UCD) approach to match actual user needs. Initial data collection relied on in-depth interviews and direct field observations. Then, a high-fidelity prototype was built using Figma. Two methods evaluated the success of the system. First, customers completed the System Usability Scale (SUS) questionnaire, which yielded an average score of 76.9 in the "Good" category. This score proves that the interface is highly user-friendly. Second, the cafe management assessed operational aspects using a Likert scale, resulting in an 87.5% rating in the "Highly Feasible" criteria. In conclusion, the system successfully cuts waiting times and minimizes ordering errors through transparent menu customization features.
Monitoring A Nutrient Film Technique (NFT) Hydroponic System For Nutrient Delivery To Bokchoy Plants Jaswin; Muhammad Khaerul Naim Mursalim; Raymond Erz Saragih
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.375

Abstract

A small-scale Nutrient Film Technique (NFT) hydroponic system requires continuous monitoring because it strongly depends on nutrient solution flow, water availability, and the stability of operational parameters. Manual monitoring is often less effective because system disturbances may be detected too late by users. This study aims to design, implement, and test an Internet of Things (IoT)-based NFT hydroponic monitoring and automatic nutrient dosing system prototype capable of displaying data, storing monitoring history, providing warnings during abnormal conditions, and automatically dosing nutrient solution based on sensor readings. The method used is prototyping. The prototype integrates an NFT hydroponic system, IoT devices, Firebase, a web dashboard, Telegram notifications, an automatic nutrient dosing system, and supporting actuators. Test results show that the system is able to read and transmit monitoring data, display information on the dashboard, store historical data, and classify system conditions into normal, warning, and critical statuses based on predetermined thresholds. The system also successfully provides warnings through the dashboard, Telegram, and a local alarm when abnormal conditions are detected. The automatic nutrient dosing system, implemented using two G328 peristaltic pumps controlled via PID-based logic in response to TDS sensor readings, was successfully integrated and functioned as intended.
Rancang Bangun Website Tour Guide Pintar Berbasis Lokasi dengan Rekomendasi Tempat Otomatis di Batam. Hadi Susanto; Eka Lia Febrianti
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.383

Abstract

Tourism in Batam City is growing rapidly, yet independent travelers still face difficulties in obtaining accurate, affordable, and efficient destination information. This study aims to design and develop a location based smart tour guide website equipped with an automatic travel recommendation feature using the Content Based Filtering algorithm and geographic zone clustering based on subdistricts in Batam. The system was developed using the Waterfall method with PHP native and MySQL technology, integrated with the Google API for precise location mapping. The system generates daily itinerary recommendations automatically based on tourism category preferences entered by the user, taking into account geographic efficiency between sub-districts. Testing results involving 52 respondents showed that 59,6% were very satisfied and 30,8% satisfied with the overall appearance of the website.
Sistem Informasi Pengajuan Proposal Tugas Akhir Berbasis Web dengan RBAC Multi-Tenant dan Deteksi Kemiripan Judul Menggunakan Metode Agile Scrum duandi; Ilwan Syafrinal
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.384

Abstract

The submission and evaluation of final project proposals constitute a vital administrative stage in higher education. At Universitas Universal, this process previously relied on semi-manual methods via Google Drive and spreadsheets, which led to data privacy vulnerabilities, examiner evaluation bias, and inefficient data recapitulation. To address these challenges, this study developed a centralized, web-based proposal submission and monitoring information system. Built using Laravel and MySQL databases, the software development process was managed through the Agile Scrum framework across four Sprints. The system incorporates Role-Based Access Control (RBAC) to enforce multi-tenant document security, an asynchronous similarity check using a recursive common substring match to prevent title duplication, and an independent grading module using digital rubrics to ensure objectivity. Software quality evaluations demonstrated high reliability: functional black-box testing achieved a 100% success rate, PHPUnit testing (183 test cases, 611 assertions) passed without errors, and white-box testing showed an overall statement code coverage of 76.9% (exceeding 87% in critical business logic and database model layers). The system successfully digitizes, secures, and standardizes the academic proposal workflow. Keyword: Proposal Submission, Agile Scrum, Role-Based Access Control, Independent Assessment, Digital Rubric
ArachnoSAR_A Quadruped Spider Robot Prototype with Haar Cascade-Based Face Detection to Support Search and Rescue Operations James Lim; Eril Sanjaya; Fernando; Augustian Gautama; Tino Winata Sumarno; Canniago Verrian; Andi Saputra; Agus Suwandi; Raymond Erz Saragih
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.386

Abstract

Search and rescue (SAR) operations often require access to areas that are hazardous or unreachable for human rescuers. This study developed ArachnoSAR, a low-cost four-legged (quadruped) spider robot prototype that integrates legged locomotion, camera-based human detection, and automatic notification. The robot is driven by eight SG90 servo motors controlled by an ESP32, while a Raspberry Pi processes the camera stream using a Haar Cascade classifier and sends detection photographs to a Telegram bot, accompanied by a buzzer alert. Preliminary indoor testing showed that the system detected frontal faces at distances of up to 300 cm at 12 to 17 frames per second, while locomotion tests recorded speeds of 0.55 cm/s on ceramic and 1.36 cm/s on asphalt surfaces, with an estimated operating time of about 51 minutes. Identified limitations include the requirement for frontal face orientation, sensitivity to low lighting, motion blur, and dependence on internet connectivity for notification. These results indicate that the prototype is feasible as a proof of concept, while highlighting the need for image stabilization, deep learning based detection, and offline communication for real SAR deployment.
Model Regresi Linear Berganda Untuk Prediksi Nilai Kualitas Tidur Berdasarkan Gaya Hidup Sidarta David Setia; Masparudin Masparudin; Kaharuddin; Musliadi KH
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.387

Abstract

Sleep disorders significantly impact individuals' quality of life and chronic health. Previous research utilizing the Sleep Health and Lifestyle Dataset predominantly focused on Classification tasks—predicting discrete diagnostic categories such as Insomnia or Sleep Apnea. Although classification accuracy has been high, this method fails to provide a continuous, quantitative assessment of the severity of Quality of Sleep (QOS). This study aims to address this limitation by developing and interpreting a Multiple Linear Regression (MLR) model to predict the numeric Quality of Sleep (QOS) score on a 1-10 scale based on lifestyle, demographic, and biometric factors. The MLR model was applied following pre-processing, which included One-Hot Encoding for categorical variables and the removal of diagnostic variables to prevent data leakage. Evaluation results demonstrate that the model achieved excellent performance, confirmed by a high Coefficient of Determination (R2) of 0.957 and a very low Mean Absolute Error (MAE) of 0.145 units. Quantitative analysis of the regression coefficients identified Sleep Duration as the most dominant positive predictor and Stress Level as the most significant negative predictor of QOS. These findings provide an important contribution in the form of an interpretable mathematical equation, which can be utilized by clinicians to make measurable, evidence-based intervention recommendations, shifting the focus from diagnosis to quantitative management and prevention.
Perbandingan Algoritma Naive Bayes dan K-Nearest Neighbor untuk Prediksi Risiko Penyakit Stroke dengan Teknik Oversampling SMOTE hilda herasmus; Agus Suryadi
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.389

Abstract

Stroke is a leading cause of death and permanent disability in Indonesia, where prevalence rose from 8.3 per 1,000 population in 2013 to 10.9 per 1,000 in 2018, creating an urgent need for accurate early detection. This study develops and compares stroke risk prediction models based on Naive Bayes (NB) and K-Nearest Neighbor (KNN), each integrated with the Synthetic Minority Over-sampling Technique (SMOTE) to handle class imbalance. The dataset consists of 512 medical records from a hospital in Batam collected between 2020 and 2023, covering 12 demographic, clinical, and lifestyle predictors. SMOTE was applied only to the training data of an 80 to 20 split, yielding a balanced distribution of 258 samples per class. The KNN parameter K was tuned over eight odd values and 7 was found optimal. Evaluation on 103 test records shows that KNN consistently outperforms Naive Bayes, with accuracy of 91.3 against 81.6 percent, F1-Score of 89.2 against 79.9 percent, and AUC of 0.934 against 0.862. SMOTE raised recall of the Stroke class by 18.8 percentage points. Blood glucose, age, and systolic blood pressure were the three strongest predictors. The model is proposed as an Early Warning System module for hospital information systems.
PENGARUH DIGITAL LITERACY TERHADAP KESIAPAN KERJA SISWA SMK MAITREYAWIRA BATAM Valerian Yamin; Steffi Adam
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.390

Abstract

This study aims to analyze the effect of digital literacy on student work readiness at SMK Maitreyawira Batam. The digital transformation occurring across various sectors of life, including education and the workplace, demands that individuals possess adequate digital literacy skills to compete and adapt to technological developments. Work readiness is a crucial factor for vocational high school graduates who are prepared to directly enter the industrial world. This research employs a quantitative approach using simple linear regression analysis. The population of this study consists of students at SMK Maitreyawira Batam, with sampling technique using probability sampling. Data collection was conducted through questionnaires measuring digital literacy levels, which include technological skills, understanding and evaluation of digital information, and attitudes toward technology, as well as work readiness encompassing the ability to work independently and in teams, work motivation, and mental readiness to face workplace pressures. The results indicate that digital literacy has a positive and significant effect on student work readiness. These findings suggest that the higher the level of digital literacy possessed by students, the higher their readiness to enter the workforce. This study provides implications for vocational education institutions to enhance digital literacy development programs in order to prepare competent graduates who are ready to face the challenges of an increasingly digitalized workplace.
Perancangan Sistem Manajemen Akuntansi Koperasi Berbasis Website pada KPRI Bina Cipta R Widya Henisaputri
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.391

Abstract

Cooperatives require integrated information systems to improve operational efficiency, financial transparency, and service quality in response to ongoing digital transformation. However, many cooperative accounting systems are still developed without a systematic requirements engineering approach, resulting in fragmented business processes and limited integration among organizational services. This study aims to design a web-based cooperative accounting management system for KPRI Bina Cipta by applying the Viewpoint-Oriented Requirements Definition (VORD) approach to systematically identify stakeholder requirements. A case study methodology was employed through interviews, direct observations, and literature review. System requirements were analyzed using VORD, followed by system modeling with Unified Modeling Language (UML) and implementation using PHP, CodeIgniter, and MySQL. Functional verification was conducted through black-box and white-box testing. The proposed system integrates member administration, savings and loan management, merchandise transactions, payment confirmation, and financial reporting within a single web-based platform. The VORD approach enabled the identification of stakeholder-specific requirements, resulting in a more structured system design, improved data integration, enhanced transaction traceability, and greater accessibility of financial information for cooperative members. This study contributes to the implementation of requirements engineering in cooperative information system development and provides a digital solution that supports sustainable digital transformation and governance within community-based financial organizations.

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