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Jurnal Ilmiah Media Sisfo
Published by Universitas Dinamika Bangsa
ISSN : 19788126     EISSN : 25277340     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Ilmiah Media Sisfo merupakan Jurnal yang berada dibawah naungan Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) STIKOM Dinamika Bangsa dan diterbitkan oleh STIKOM DINAMIKA BANGSA JAMBI. Jurnal Ilmiah Media Sisfo menerbitkan Jurnal 2 kali dalam setahun yaitu pada bulan April dan Oktober. Misi dari Jurnal Media Sisfo adalah untuk menyebarluaskan, mengembangkan dan menfasilitasi hasil penelitian mengenai Ilmu Sistem Informasi dan juga dapat menjadi wadah bagi para dosen, guru, peneliti dan para praktisi dalam bidang teknologi informasi dari seluruh Indonesia, dalam melakukan pertukaran informasi tentang hasil-hasil penelitian terbaru yang telah dilakukan.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 376 Documents
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Implementasi Aplikasi Android Deteksi Penyakit Tanaman Tomat Berbasis Cloud menggunakan MVVM M. Edoazani; Rizal, Syahril; Saputri, Nurul Adha Octarini; Putra, M. Soekarno
Jurnal Ilmiah Media Sisfo Vol 19 No 2 (2025): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2025.19.2.2564

Abstract

Tomato plants as important horticultural commodities in Indonesia are vulnerable to various diseases that are difficult to distinguish visually, causing treatment delays and economic losses for farmers. This research develops an Android application for cloud-based tomato plant disease detection using Model-View-ViewModel (MVVM) architecture with Jetpack Compose framework. Extreme Programming (XP) methodology is applied through four main stages: planning, design, coding, and testing iteratively to ensure responsive development toward system requirements. The system integrates MobileNetV2 machine learning model deployed on Azure App Service with Firebase Authentication and Firestore for authentication and detection history storage. Dataset containing 16,012 tomato leaf images with 10 disease classes is used to train the model achieving 91.74% accuracy. Cloud-hybrid architecture enables detection processes to be performed on server without burdening mobile devices with average response time of 3 seconds. Black Box Testing shows all application features function according to specifications with 100% success rate. Research results prove that cloud computing integration with mobile application development can provide practical and scalable solutions to help farmers perform tomato plant disease detection quickly and accurately
Pengembangan Aplikasi Monitoring Kondisi Tanaman Berbasis Markerless Augmented Reality dengan Metode MDLC Ramadhan, Muhammad Gemilang; Karlitasari, Lita; Suriansyah, Mohamad Iqbal
Jurnal Ilmiah Media Sisfo Vol 19 No 2 (2025): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2025.19.2.2570

Abstract

Augmented Reality (AR) semakin banyak diterapkan dalam bidang pertanian untuk membantu proses monitoring dan visualisasi data lingkungan. Namun, sebagian besar aplikasi AR yang ada masih bergantung pada penggunaan marker dan belum banyak mengintegrasikan data sensor secara real-time. Penelitian ini mengembangkan aplikasi markerless AR untuk memantau kondisi tanaman dengan menerapkan metode Multimedia Development Life Cycle (MDLC). Tahapan pengembangan meliputi konseptualisasi, perancangan, pengumpulan material, perakitan, pengujian, dan distribusi. Aplikasi dibangun menggunakan Unity dan AR Foundation dengan pendekatan plane tracking untuk menampilkan informasi kondisi tanaman secara visual melalui teks dan angka digital. Data dari sensor lingkungan diintegrasikan melalui mikrokontroler ESP32, namun fokus penelitian ini adalah penyajian visual, bukan kontrol IoT. Hasil pengujian menunjukkan bahwa aplikasi mampu menampilkan data secara real-time dengan stabilitas visual yang baik pada kondisi pencahayaan optimal. Penelitian ini menunjukkan bahwa penerapan MDLC dapat mendukung pengembangan aplikasi markerless AR yang terstruktur, efisien, dan relevan untuk sistem monitoring pertanian.
Perancangan dan Implementasi Website Desa Menggunakan Laravel untuk Layanan Administrasi Desa mujib, Ahmad; Syakti, Firamon; Khudri, Akhmad; Putra, Ade; Saputri, Nurul Adha Oktarini
Jurnal Ilmiah Media Sisfo Vol 19 No 2 (2025): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2025.19.2.2572

Abstract

Administrative and information services in Simpang Tais Village were previously managed manually, requiring residents to visit the office for document submissions such as domicile letters and business permits. This conventional process often caused queues, delays, and limited transparency. Information dissemination was also restricted to bulletin boards or oral communication, reducing its reach to citizens. To overcome these challenges, this study designed and implemented a village website using the Laravel framework and Agile methodology. The development process included planning, implementation, testing, deployment, and maintenance stages. The website provides key features such as online letter submission, verification by the village secretary, approval by the village head, and content management for news and announcements. Black-box testing confirmed that all modules functioned properly according to user needs. The results show that the system improved efficiency by reducing service time, enhanced transparency through online submission tracking, and increased accessibility to information. In conclusion, the Laravel-based website developed with the Agile approach effectively supports digital transformation at the village level and provides a foundation for future integration with broader e-government systems
Analisis Kepuasan Pengguna Aplikasi Grab di Provinsi Jambi Dengan Menerapkan Metode E-Servequal dan Kano Baiti, Baiti Rahmah; Setiawan Assegaf; Fachruddin
Jurnal Ilmiah Media Sisfo Vol 19 No 2 (2025): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2025.19.2.2574

Abstract

Grab is a digital offers a wide range of services, including ride-hailing, food delivery, parcel delivery, and digital payment solutions. Its presence has become an integral part of urban life, including in Jambi City, by providing convenient access and fast services. This study aims to analyze the service quality of the Grab application using the E-SERVQUAL approach integrated with the Kano model to identify service attributes that influence user satisfaction. A quantitative research method was applied, with data collected through an online questionnaire distributed to Grab users in Jambi City. The data were analyzed to measure the gap between users’ expectations and perceptions across five E-SERVQUAL dimensions: reliability, responsiveness, assurance, empathy, and tangibles, as well as to classify service attributes based on the Kano model. The findings reveal that reliability and responsiveness have the greatest influence on user satisfaction, while several attributes fall under the must-be category, which must be fulfilled to prevent a decline in satisfaction. These results are expected to serve as a strategic reference for Grab’s management to continuously improve its service quality.
Pengembangan Sistem Pendukung Keputusan Berbasis Web untuk Diagnosis Anemia dengan Metode Certainty Factor Nurwegiono, Muhammad; Zen, Bita Parga
Jurnal Ilmiah Media Sisfo Vol 19 No 2 (2025): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2025.19.2.2581

Abstract

Adolescent girls are a vulnerable group prone to anemia due to increased iron requirements during puberty. Undiagnosed anemia can negatively impact health, productivity, and academic performance. This study aims to design and develop a web-based Decision Support System (DSS) to assist in diagnosing various types of anemia based on symptoms experienced by users, using the Certainty Factor (CF) method. The system was developed using the Waterfall model, which includes requirement analysis, system design, coding, and testing through the blackbox method. System testing was conducted among adolescent girls in the Sumber Sekar area and showed that all main features of the system functioned properly, with a functional accuracy rate of approximately 95% in blackbox testing. The system is also considered user-friendly and capable of providing early diagnostic insights and recommendations efficiently and accurately. It is expected to serve as an initial support tool to raise awareness and facilitate early detection of anemia, particularly among adolescent girls.
Pemilihan Guru Terbaik SMP PGRI 4 Kota Jambi Metode TOPSIS dan WP Firmansyah; Nurhadi, Nurhadi; Purnama, Benni
Jurnal Ilmiah Media Sisfo Vol 19 No 2 (2025): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2025.19.2.2601

Abstract

Decision Support System is part of an information system designed to assist the decision-making process in complex and unstructured conditions. DSS can be used in the process of selecting the best teachers, one of which is at SMP PGRI 4 Kota Jambi. The main problem is that the assessment process is still carried out manually, causing delays in processing scores and potentially leading to information leaks. To overcome this, a web-based DSS for selecting the best teachers was developed, implementing the TOPSIS and Weighted Product (WP) methods to determine the best teachers. Based on the calculation results, the TOPSIS method showed superior performance compared to WP in terms of sensitivity, which was 5.917% for TOPSIS and 5.085% for WP. However, in terms of ranking stability, the WP method is considered more consistent, where the test results show that Yuhelmi, S.Pd (A2) was predominantly selected as the best teacher at every stage of testing. Thus, the selection of the method can be adjusted to the reference used: TOPSIS excels in sensitivity of results, while WP is more stable in ranking. In addition, this system has been proven to accelerate the evaluation process and improve the efficiency of selecting the best teachers

Page 38 of 38 | Total Record : 376

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