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Muhammad Abdul Muin
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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 18 Documents
 1   2 
Search results for , issue "Vol 21, No 2 (2025): TRANSFORMASI" : 18 Documents clear
SISTEM INFORMASI MANAJEMEN SARPRAS DAN TATA USAHA PADA SMA BINA WARGA 2 PALEMBANG DENGAN METODE EXTREME PROGRAMMING Ardiansyah, Rico
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.v21i2.453

Abstract

Pengelolaan sarana prasarana dan tata usaha di SMA Bina Warga 2 Palembang masih manual, sehingga menyebabkan masalah seperti kehilangan data, inefisiensi, dan lambatnya pelayanan.Padahal, teknologi informasi menawarkan solusi pengelolaan administrasi yang lebih efektif di dunia pendidikan. Penelitian ini bertujuan merancang dan membangun Sistem Informasi Manajemen Sarana Prasarana dan Tata Usaha untuk meningkatkan efektivitas administrasi dan kualitas pelayanan sekolah. Metode pengembangan sistem menggunakan Extreme Programming (XP) yang adaptif. Pengumpulan data dilakukan melalui wawancara, observasi, dan studi pustaka. Sistem ini mencakup manajemen sarana prasarana dan tata usaha. Pengujian fungsionalitas sistem menggunakan metode black box testing untuk memastikan kesesuaian dengan kebutuhan. Hasil penelitian ini adalah sistem informasi terintegrasi yang mengoptimalkan pengelolaan sarana prasarana dan tata usaha di SMA Bina Warga 2 Palembang, sehingga meningkatkan efisiensi operasional, akurasi data, dan kualitas pelayanan administrasi
Desain Konten Multimedia untuk Media Sosial Kopi Leong: Pengaruh Visual terhadap Engagement dan Persepsi Merek Lokal Rosanensi, Melati; Sumadewa, I Nyoman Yoga; Hasbullah, Hasbullah; Febri, Widia
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.v21i2.452

Abstract

Abstrak: This study aims to analyze the influence of multimedia content design on engagement levels and brand perception on Kopi Leong's social media accounts as a representation of a local brand. In the digital era, content visualization has become a strategic factor in building consumer identity and loyalty, especially for small and medium enterprises. This study uses a quantitative-descriptive approach involving 150 respondents who are followers of Kopi Leong's Instagram account. The research instrument is an online questionnaire that measures visual perception (color composition, typography, and visual style), engagement levels (likes, comments, and shares), and brand image (authenticity, trustworthiness, and local appeal). Data analysis was conducted using multiple linear regression to determine the relationship between visual variables on engagement and brand perception. The results show that visual design that consistent and authentic significantly increases engagement levels (p 0.05 ), and strengthens the brand's perception as a modern yet traditional local product. The warm color scheme and classic-style typography create a strong sense of familiarity and authenticity in the minds of consumers. In conclusion, multimedia content design plays a crucial role in strengthening Kopi Leong's branding strategy through social media, particularly in building audience engagement and strengthening the brand's local identity.
ANALISIS KINERJA ALGORITMA ADVANCED ENCRYPTION STANDARD (AES) ENCRYPTION DAN ALGORITMA BLOWFISH PADA PROSES ENKRIPSI DAN DEKRIPSI Insani, Fajar Dwi; Anggraeni, Meita Dwi
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.v21i2.478

Abstract

Perkembangan teknologi informasi mendorong organisasi untuk memanfaatkan teknologi basis data dalam pengelolaan informasi, sehingga dibutuhkan metode pengamanan yang mampu menjaga kerahasiaan, integritas, dan otentikasi data. Kriptografi menjadi solusi utama dalam melindungi file digital, termasuk melalui perangkat lunak Pretty Good Privacy (PGP) yang menyediakan fitur enkripsi dan tanda tangan digital. Penelitian ini membahas perbandingan performa dua algoritma kriptografi modern yang banyak digunakan, yaitu Blowfish dan Advanced Encryption Standard (AES). Blowfish dikenal sebagai cipher block yang kuat dan sulit ditembus, sedangkan AES merupakan standar kriptografi yang direkomendasikan NIST dengan panjang kunci 128, 192, dan 256 bit. Pengujian dilakukan berdasarkan ukuran data sebagai pembanding untuk memperoleh waktu proses enkripsi terbaik pada masing-masing algoritma. Hasil analisis menunjukkan adanya perbedaan performa yang dapat menjadi acuan bagi pengembang dalam memilih algoritma yang paling sesuai dengan kebutuhan aplikasi, serta menjadi referensi untuk penelitian lanjutan terkait algoritma enkripsi.
SISTEM PAKAR DIAGNOSIS CORONA VIRUS “ViroCHECK” MENGGUNAKAN ALGORITMA DECISION TREE Lubis, Hendarman -; Temartenan, Jecklyn Shindy; Faizah, Safira
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.v21i2.444

Abstract

The rapid spread of the virus, with symptoms ranging from mild to severe, makes early diagnosis and detection crucial in preventing and controlling the spread of this disease. Limited laboratory testing capacity, especially in areas with minimal healthcare facilities, requires a system capable of facilitating early identification based on symptoms and patient history, quickly, accurately, and efficiently. One approach is an expert system. The "ViroCheck" Coronavirus Diagnosis Expert System was developed using the Design Thinking Method. This expert system aims to assist users in diagnosing possible Coronavirus infection based on symptoms experienced. The decision-making process uses a Decision Tree algorithm, which is able to classify diagnostic results based on training data from previous cases. Problem analysis uses SWOT analysis, feasibility analysis uses TELOS analysis, and testing uses Usability Heuristic indicators that can observe user activity. The test results were 87%, proving that the designed digital startup has met user needs.Keywords: Expert System, Coronavirus, Decision Tree, Design Thinking, SWOT, TELOS, Usability Heuristic
PENERAPAN GAME EDUKASI DIGITAL PENGENALAN BUAH BERBASIS CONSTRUCT 2 PADA PENDIDIKAN ANAK USIA DINI Wahyudiono, Sugeng; Susilo, Gatot; YUSNANTO, TRI; Sutiyatno, Sukris; Suseno, Adnan Terry
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.v21i2.441

Abstract

Penelitian ini bertujuan untuk mengembangkan game edukasi pengenalan buah-buahan berbasis Construct 2 pada anak usia dini di TK Kartika serta mengevaluasi tingkat keberterimaan pengguna terhadap media tersebut. Metode penelitian yang digunakan adalah Multimedia Development Life Cycle (MDLC) dengan enam tahapan: concept, design, material collecting, assembly, testing, dan distribution. Data dikumpulkan melalui observasi, wawancara, dan studi literatur, sedangkan pengujian dilakukan menggunakan black box testing dan skala Likert untuk menilai kepuasan pengguna. Hasil pengujian menunjukkan adanya peningkatan rata-rata tingkat penerimaan pengguna dari 82,7% sebelum penggunaan menjadi 87,3% setelah penggunaan game edukasi. Temuan ini mengindikasikan bahwa media pembelajaran interaktif yang dikembangkan mampu meningkatkan motivasi belajar serta pemahaman anak dalam mengenal buah-buahan. Penelitian ini memberikan kontribusi praktis sebagai alternatif media pembelajaran berbasis digital yang menyenangkan dan efektif untuk pendidikan anak usia dini.
Perancangan Model Tata Kelola Teknologi Informasi Berbasis COBIT Pada Sektor Publik Agustina, Delima; Sutabri, Tata
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.v21i2.470

Abstract

The rapid development of information technology (IT) demands that the public sector have good IT governance to support the effectiveness and efficiency of public services. However, many government agencies still face obstacles in measuring and improving IT governance performance. This study aims to design an IT governance model based on the COBIT (Control Objectives for Information and Related Technology) framework that suits the characteristics of the public sector. The method used is a simple survey of 15 respondents of IT employees in several local government agencies, complemented by capability level analysis based on COBIT 2019 domains. The results show that most IT processes are at level 2 (Managed Process), with several areas such as risk management and service management still at level 1 (Performed Process). The resulting model describes the stages of continuous improvement that can be applied to increase IT governance maturity in public agencies.Keywords: COBIT, IT Governance, Public Sector, Capability Level, Governance Model
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.

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