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Muhammad Abdul Muin
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journaltransformasi@gmail.com
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INDONESIA
Transformasi
Published by STMIK Bina Patria
ISSN : 19785569     EISSN : 28278550     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics
Jurnal transformasi sebagai wadah untuk mengembangkan Dan mensosialosasikan IPTEk berbasis penelitian dan kajian ilmiah (artikel review) dalam lingkup Informatika, elektronika, manajemen, pendidikan & pembelajaran.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 296 Documents
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KLASIFIKASI PENYAKIT PADA DAUN TOMAT MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK (CNN) Parhusip, Jadiaman; Maulana, Ferdy Afriza; Mahendra, Rizqullah Falah; Dwi Putri, Athay Setya
TRANSFORMASI Vol 21, No 2 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i2.479

Abstract

Tomato leaf diseases significantly affect crop productivity, and manual inspection often leads to misclassification due to the visual similarity of symptoms. Recent studies have shown that Convolutional Neural Networks (CNN) provide high accuracy in leaf–based plant disease classification across various plant species, highlighting their potential for early disease detection. This study aims to develop an accurate tomato leaf disease classification system using a CNN model trained on the Kaggle tomato leaf dataset consisting of four classes: Leaf Blight, Bacterial Spot, Leaf Scab, and Healthy. The methodology includes literature review, dataset acquisition, preprocessing, augmentation, CNN architecture design, model training, and performance evaluation. Preprocessing techniques such as resizing and normalization were applied, followed by augmentation using random flipping and rotation to increase dataset variability. The proposed model was trained for 40 epochs with a batch size of 16. Results show consistent accuracy improvement, reaching 0.98 training accuracy with a loss of 0.07, while validation accuracy peaked at 0.94. Testing on both single and multiple images demonstrates strong prediction confidence, with minor misclassifications in visually similar cases. Overall, the system effectively identifies tomato leaf diseases and reinforces the suitability of CNN for supporting early plant disease detection in smart agriculture applications.
INOVASI DIGITALISASI UMKM KOPI MELALUI SISTEM E-COMMERCE BERBASIS WEB PADA WARUNG KOPI GARASI NDESO Fatkhurrochman, Fatkhurrochman; Wibowo, Teguh Hadi; Arifah, Fatimah Nur; Yusnanto, Tri; Kapti, Kapti; Muin, Muhammad Abdul
TRANSFORMASI Vol 21, No 2 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i2.457

Abstract

The rapid development of digital technology has significantly impacted various sectors, including micro, small, and medium enterprises (UMKM). One of the most influential technological applications is the e-commerce information system, which facilitates online buying and selling activities without spatial and temporal limitations. This study aims to design and develop a web-based e-commerce system as a digitalization innovation for UMKM coffee businesses at Warung Kopi Garasi Ndeso, with the goal of expanding market reach and improving business management efficiency. The system development process adopts the Waterfall model, consisting of several stages: communication, planning, modeling, construction, and deployment. The system design employs Data Flow Diagrams (DFD) and Entity Relationship Diagrams (ERD), while implementation utilizes the PHP programming language and MySQL as the database management system. System testing was carried out using the Blackbox Testing method to verify functionality, and user evaluation was conducted using the Likert scale involving 18 respondents, including the owner, admin, and customers. The testing results show that all system functions operate properly and meet user requirements. The user evaluation obtained a score of 647 out of 810 or 79.88%, indicating that the developed web-based e-commerce system has a good level of usability. Therefore, the implementation of digital innovation through this e-commerce system effectively supports Warung Kopi Garasi Ndeso in enhancing operational efficiency, expanding market reach, and strengthening the competitiveness of local coffee UMKM in the digital era.
Perancangan Sistem IoT Perawatan Tanaman Sawi Indoor Menggunakan Protheus dan Kontrol Logika Fuzzy Syujak, Ahmad Rois; Fitria, Fitria; Amirah, Amirah
TRANSFORMASI Vol. 22 No. 1 (2026): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/vwsxrh67

Abstract

The advancement of agricultural technology has encouraged the implementation of Internet of Things (IoT)-based automation systems to improve efficiency and productivity in crop cultivation, particularly in greenhouse environments. This study aims to design and implement an IoT-based automation system for indoor mustard plant cultivation using the Mamdani fuzzy logic approach. The system was developed using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. The system utilizes environmental parameters, including temperature, soil moisture, and light intensity, collected through sensors and processed using fuzzy logic to control actuators such as water pumps and lighting automatically. The experimental results show that the system operates in real-time with an average response time of 2.7 seconds and achieves a sensor accuracy with an average error of 2.78%. Furthermore, the system improves water usage efficiency by up to 30% compared to conventional manual methods. These results indicate that the proposed system provides an effective and adaptive solution for greenhouse management and has strong potential to support the development of smart agriculture systems. Keywords: Internet of Things, greenhouse, fuzzy logic, automation, mustard plant
PERANCANGAN UI/UX START UP “PETS KITA” MENGGUNAKAN METODE USER CENTER DESIGN DAN ANALISIS GSTALT Lubis, Hendarman -; Salman, Salman; Faujiyah, Firdhani
TRANSFORMASI Vol. 22 No. 1 (2026): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/31snhk43

Abstract

This study aims to design the User Interface (UI) and User Experience (UX) of the startup application “Pets Kita” by integrating the User-Centered Design (UCD) method and Gestalt principles. The rapid growth of the pet care industry in Indonesia highlights the need for a digital platform that provides integrated services, including pet healthcare, e-commerce, and community interaction. However, many existing applications suffer from poor usability and non-intuitive navigation. This research adopts a UCD approach consisting of four main stages: understanding the context of use, specifying user requirements, producing design solutions, and evaluating designs. Data were collected through observation and in-depth interviews with pet owners, followed by the development of user personas and user journey maps. The design process utilized Figma to create wireframes and high-fidelity prototypes, while Gestalt principles such as proximity, similarity, continuity, and closure were applied to enhance visual perception and usability. The evaluation phase employed usability testing and heuristic evaluation, resulting in an overall usability score of 83%, indicating that the proposed design meets user needs effectively. The findings demonstrate that integrating UCD and Gestalt principles can significantly improve usability, user satisfaction, and interaction efficiency. This study contributes to the development of user-friendly digital platforms in the pet care industry and provides a practical framework for UI/UX design in startup environments. Keywords: UI/UX, User-Centered Design, Gestalt, Startup, Pets Kita.
MODEL PENILAIAN OBJEKTIF KARYA PUISI MAHASISWA DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) Suryadijaya, Dharyana; Fitri Fatimah; Ayu Nuriana Sebayang
TRANSFORMASI Vol. 22 No. 1 (2026): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/pjznks62

Abstract

Penelitian ini mengembangkan model penilaian objektif karya puisi mahasiswa dengan metode Simple Additive Weighting (SAW) sebagai upaya pengembangan kreativitas. Selama ini, penilaian puisi cenderung subjektif sehingga menghasilkan hasil yang tidak konsisten. SAW dipilih karena mampu mengakomodasi berbagai kriteria dengan bobot berbeda dan menghasilkan skor akhir yang transparan. Kriteria yang digunakan meliputi diksi, tema, struktur, orisinalitas, dan kaidah kebahasaan. Hasil penelitian menunjukkan bahwa SAW efektif mengubah penilaian subjektif menjadi objektif, sehingga karya puisi dapat dibandingkan secara adil. Kebaruan penelitian ini terletak pada penerapan SAW dalam evaluasi karya sastra, memperluas penggunaannya di luar bidang teknis. Secara praktis, model ini memberikan umpan balik yang jelas bagi mahasiswa dan mendukung dosen dalam melakukan penilaian yang transparan. Secara teoretis, penelitian ini memperkuat posisi SAW sebagai metode multikriteria yang fleksibel untuk seni dan sastra. Penelitian ini berkontribusi pada peningkatan literasi, kreativitas, dan apresiasi budaya di pendidikan tinggi.
WEBGIS EXTREME WEATHER AND HEALTH FACILITIES IN MAGELANG REGENCY Mahasinul Akhlak, Muhammad Lutfi; Susilo, Gatot; Anggi Ariesta Kusuma, Ahmad Fauzi; Al Amin , Imam Husni
TRANSFORMASI Vol. 22 No. 1 (2026): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/2k6m4m94

Abstract

Magelang Regency, Indonesia, has a high potential for extreme weather disasters due to its unique geographical and hydrological characteristics. This study utilizes WebGIS technology to assess the readiness of healthcare facilities in areas prone to extreme weather events in Magelang Regency. The developed WebGIS platform displays: (1) administrative maps, (2) the spatial distribution of health facilities, (3) extreme weather risk, hazard, capacity, and vulnerability maps, and (4) an analytical identification of healthcare facility readiness. This website aims to provide accurate and informative spatial information to support decision-making in extreme weather disaster mitigation planning. User Acceptance Testing (UAT) involving 10 respondents yielded a score of 88.8% (out of 100%), indicating that users 'strongly agree' that the system meets user-friendly criteria

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