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INDONESIA
Sistemasi: Jurnal Sistem Informasi
Published by Universitas Islam Indragiri
ISSN : 23028149     EISSN : 25409719     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Sistemasi adalah nama terbitan jurnal ilmiah dalam bidang ilmu sains komputer program studi Sistem Informasi Universitas Islam Indragiri, Tembilahan Riau. Jurnal Sistemasi Terbit 3x setahun yaitu bulan Januari, Mei dan September,Focus dan Scope Umum dari Sistemasi yaitu Bidang Sistem Informasi, Teknologi Informasi,Computer Science,Rekayasa Perangkat Lunak,Teknik Informatika
Arjuna Subject : -
Articles 1,011 Documents
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Automation of Water Quality Recovery in Vannamei Shrimp Aquaculture using the KNN Algorithm and Fuzzy Logic Qulub, Mudawil; Fahruddin, Muh; Rizki, Muhamad Sari; Saputra, Adi
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.5888

Abstract

Vannamei shrimp play a crucial role in Indonesia’s fisheries and export industries. Despite their high potential, shrimp aquaculture still faces significant challenges, particularly disease susceptibility caused by fluctuations in water quality and pond environmental conditions. This study aims to develop a system capable of automatically monitoring and restoring water quality using the K-Nearest Neighbors (KNN) algorithm and fuzzy logic. The research adopts a research and development (R&D) approach, which includes problem analysis, data collection, system design, development, testing, evaluation, and implementation. The system employs the KNN algorithm with K=5K = 5K=5 to diagnose water quality conditions, while fuzzy logic is used to automatically control aerators, pumps, and drainage systems. The sensors utilized include salinity, pH, temperature, dissolved oxygen, and turbidity, all integrated through an ESP32 microcontroller within an Internet of Things (IoT) network. The results demonstrate that the system achieves a diagnostic accuracy of 95% and is capable of automatically controlling recovery devices. With real-time and automated operation, the system effectively maintains pond water quality, thereby improving productivity and the overall success of vannamei shrimp aquaculture.
Enhancing SDGs in Barito Kuala: Enterprise Architecture for Smart Village Development using TOGAF ADM 9.2 in Sungai Pitung Aufar, Yazid; Kaloka, Tesdiq Prigel; Marhusin, Marhusin; Aditia, Muhammad; Salmah, Salmah; Junaidi, M.
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.6023

Abstract

Sustainable village development is essential for realizing the Sustainable Development Goals (SDGs), specifically regarding poverty eradication (SDG 1), inequality reduction (SDG 10), and the establishment of sustainable communities (SDG 11). This study formulates a smart village framework for Sungai Pitung Village, Barito Kuala, by utilizing the Village Information System (SID) to enhance local governance and economic conditions. The methodology employs TOGAF ADM 9.2, covering the Preliminary phase, Architecture Vision, Business Architecture, Information Systems Architecture, and Technology Architecture. The novelty of this research lies in the strategic integration of Village Development Index (IDM) indicators and Village SDGs (Ministerial Regulation No. 13 of 2020) directly into the architectural blueprints. This approach ensures that the resulting digital roadmap is legally and contextually compliant with Indonesian rural mandates. The framework is validated through a formal evaluation of research results with relevant stakeholders to ensure it addresses the digital divide and operational inefficiencies. The findings provide a holistic IT architecture that standardizes technology catalogs and aligns village services with national development targets, ultimately fostering an enhanced quality of life for rural inhabitants.
Comparative Analysis of Naive Bayes and Fuzzy Logic Algorithm in Fire Classification System Rismayati, Ria; Suriyati, Suriyati; Widayaka, Parama Diptya
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.5985

Abstract

Building fires can cause losses in several areas, including property damage, environmental pollution, loss of life, injury, and psychological trauma. Building fires can occur due to several factors such as gas leaks, short circuits, overheating electronic devices, the presence of flammable materials, and human error. In fire mitigation efforts, devices are generally used as early warnings, but their implementation is often less than optimal due to system malfunctions. Therefore, this study aims to develop an early warning system that can detect potential fires before they spread. The methods used in this study are the naïve Bayes and fuzzy logic methods, which then compare each method to determine the most effective method. The results of this study indicate that the naïve Bayes and fuzzy logic methods have successfully classified potential fires well. From 30 experimental data, the naïve Bayes algorithm produced an accuracy of 96%, while the fuzzy logic algorithm produced an accuracy of 100%. The naïve Bayes algorithm shows reliable performance in classifying extreme data while the fuzzy algorithm can detect the ‘Danger’ status even though not all parameters are in a dangerous condition.
Analysis of User Acceptance of the Access by KAI Online Ticket Booking Application using TAM Mutia, Prameswari Fayra; Putra, Apriansyah
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.6191

Abstract

Information technology (IT) has transformed ticketing systems in public transportation and other service industries. The Access by KAI online application, developed by PT Kereta Api Indonesia (Persero), facilitates train ticket purchases. This application features electronic boarding, travel itinerary information, and ticket booking services, thereby streamlining the user’s travel experience. However, users still raise concerns regarding the usability of the application. This study employs the Technology Acceptance Model (TAM) framework to assess user acceptance of the Access by KAI application. This quantitative study collected data from Access by KAI users through a questionnaire survey. Actual System Use (ASU) serves as the dependent variable, while Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Attitude Toward Use (ATU), and Behavioral Intention (BI) function as independent and mediating variables. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS software. The results show that four out of five hypotheses are supported, while one is not. The analysis indicates that Perceived Usefulness and Perceived Ease of Use significantly influence Attitude Toward Use and Perceived Usefulness. Another important finding is that Behavioral Intention and Attitude Toward Use have a strong influence on Actual System Use. However, the model does not demonstrate a significant effect for one of the hypothesized relationships. Overall, the findings suggest that users’ attitudes and intentions toward using the Access by KAI application are influenced by their perceptions of its ease of use and the benefits it provides. This study is expected to provide PT Kereta Api Indonesia (Persero) with evaluative insights to enhance service quality, improve user acceptance, and increase the usability of the Access by KAI application.
Implementation of a Waste Bank Website using the Agile Scrum Approach and User Acceptance Testing (UAT) Dava, Muhammad Arifin; Widagdo, Putut Pamilih; Ibrahim, Muhammad Rivani
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.6118

Abstract

Waste management in Indonesia continues to face significant challenges, largely due to manual record-keeping practices that often lead to data duplication, reporting delays, and a lack of transparency. This study develops EcoHub, an integrated digital dashboard designed to monitor waste deposit flows, point conversion, and product transactions to support a circular economy ecosystem. The research addresses a gap in the limited availability of waste bank systems that integrate deposit management, e-wallet functionality, and e-commerce within a unified platform. By adopting the Agile Scrum approach, the system is designed to adapt to user needs through short development iterations and continuous evaluation. The testing results indicate that all system functionalities operate effectively, with a user acceptance rate (UAT) of 89.17%, categorized as Very Good. The novelty of this study lies in the direct integration between waste deposits and real economic exchange mechanisms, which has been shown to significantly enhance operational efficiency for various stakeholders while improving transparency in waste bank management.
Comparative Analysis of CNN and Random Forest for Cashew Plant Disease Classification Samual, Mawar Ahdayani; Wijanarko, Sigit
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.6100

Abstract

Cashew plants are a strategic commodity in Indonesia and are highly susceptible to various diseases, making fast and accurate identification techniques essential to minimize economic losses. This study evaluates the comparative performance of Convolutional Neural Networks (CNN) and Random Forest in classifying cashew plant disease images. Using an experimental quantitative approach, the study utilizes a dataset of 6,549 images divided into five classes: anthracnose, gummosis, healthy, leaf miner, and red rust. The models were validated using a split sampling technique with a ratio of 80:10:10 for training, validation, and testing, and were evaluated based on F1-score as well as accuracy, precision, and recall metrics. The Random Forest model employs manual feature extraction, including color, texture (Gray-Level Co-occurrence Matrix/GLCM), and shape (Hu Moments), whereas the CNN model uses a custom Sequential architecture with automatic feature extraction. The experimental results show that CNN achieves an accuracy of 85.80%, outperforming Random Forest by approximately 9%, which attains an accuracy of 76.95%. The novelty of this study lies in the integration of high-level texture features into the Random Forest model to evaluate the performance limits of conventional machine learning compared to CNN-based automatic feature extraction. The findings indicate that CNN performs better for this dataset. However, further optimization—particularly in handling natural background variations—is still required for practical deployment.
Virtual Graph Modeling for Smart Building Energy Analysis from Sequential IoT Data Febriansyah, M; Dinata, Riadi Marta
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.5714

Abstract

This study proposes and validates a cost-effective sequential energy mapping methodology to address the challenges of implementing expensive energy monitoring systems in smart buildings. By utilizing a single Internet of Things (IoT) sensor deployed sequentially across five strategic locations, a comprehensive Energy Profile Repository was successfully developed. Data analysis across various scenarios accurately identified major energy hotspots, with the computer laboratory recording the highest consumption at 2.80 kWh/hour. The study also quantified potential energy waste from “vampire loads,” estimated at 2,190 kWh/year at a single location. Furthermore, the analysis revealed that the heating, ventilation, and air conditioning (HVAC) system is the dominant contributor (65%) to peak load demand, rather than computer units. The individual energy profiles were subsequently synthesized to construct a virtual energy graph that models the characteristics and structural relationships of the building’s energy network. This methodology is proven to be an effective and cost-efficient foundational approach for generating actionable, data-driven insights, while also providing a valid basis for the future development of more advanced real-time energy management systems.
Integrating Design Thinking and CBT for Mobile Telemedicine Depression Recovery Therapy for Adolescents and Women Adam, Steffi; Saragih, Raymond Erz; Awali, Azizah Nur Arifah
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.5776

Abstract

Depression among adolescents and women has become a significant mental health issue, yet access to effective therapy remains limited due to factors such as geographical barriers and a lack of professional support. This research aims to integrate Design Thinking and Cognitive Behavioral Therapy (CBT) to develop a mobile telemedicine application, Moelih, for supporting the recovery of depression. The study employs a systematic Design Thinking approach, including Empathy, Define, Ideate, Prototype, and Test stages. The black-box testing method was employed to evaluate the app’s functionalities, ensuring that its features—such as mood tracking, journaling (both free and guided CBT), and teleconsulting with professional companions—are intuitive and effective from the user’s perspective. The results demonstrate that the Moelih app successfully meets the needs of its target audience by providing an accessible, flexible, and user-centered digital therapy tool. However, the testing phase revealed areas for improvement, such as enhancing user engagement and optimizing app responsiveness. This research highlights the potential of combining user-centered design and CBT to create effective digital interventions for mental health recovery, contributing to the growing field of telemedicine for mental health.
Design of a Community-based Live-In Information System in Indonesia Maria (SCOPUS ID: 57093633500), Evi; Chernovita, Hanna Prillysca; Widhiyaningrum, Sekar; Adventien, Irene Puspa
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.6020

Abstract

The development of information systems in the tourism sector is generally based on the assumption of a centralized business structure, with a single management unit and a unified financial recording mechanism. However, this assumption does not fully align with the characteristics of community-based tourism services, including live-in tourism, which are collectively managed by multiple autonomous actors. This study aims to design a conceptual model of a community-based live-in information system that aligns with the collective work structure and the distributed economic service recording mechanisms. The research employs an information system design approach through workflow analysis, field observations, and semi-structured interviews with key live-in operators in villages on the slopes of Mount Merbabu. The design focuses on modeling the work structure, service process flows, and cross-actor transaction recording mechanisms. Model validation was conducted by assessing the representational fidelity, process congruence, and recording coherence of the model as judged by internal community actors. The results indicate that the conceptual model effectively represents the distributed work practices of live-in services without imposing centralized organizational assumptions. This study contributes to the development of information system designs that prioritize representational alignment with community work practices rather than technical implementation or full automation of service processes.
Implementation of Inter-Building Wireless Backhaul using Ubiquiti 5AC Gen2 and MikroTik Fadhillah, Hashfi Adha; Ichsan, Ichwan Nul
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.6128

Abstract

This study aims to implement and evaluate the performance of an inter-building wireless backhaul network using the Ubiquiti LiteBeam 5AC Gen2 integrated with a MikroTik router as a solution for internet distribution without the need to subscribe to an additional ISP service. The study is motivated by the increasing demand for high-speed and reliable network connectivity between buildings, while wired network implementations are often limited in terms of cost and installation flexibility. The research adopts an experimental approach with descriptive quantitative analysis through direct measurement of Quality of Service (QoS) parameters, including throughput, delay, and jitter. Testing was conducted under three scenarios: a direct wireless backhaul link, a WiFi network on the first floor, and a WiFi network on the second floor of the building. The results show that the wireless backhaul provides an average throughput of 87.95 Mbps for download and 48.60 Mbps for upload, with a delay of 1.19 ms. On the access network side, the achieved throughput remains sufficient for user needs, although delay and jitter increase as the number of connected devices and traffic load grows. This study concludes that the implementation of an IEEE 802.11ac-based wireless backhaul using Ubiquiti LiteBeam 5AC Gen2 and MikroTik is effective as a medium-scale inter-building connectivity solution, delivering performance that meets typical daily internet service requirements.

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