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Muhammad Abdul Muin
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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 308 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
PERANCANGAN LAYANAN SISTEM INFORMASI PROFIL SEKOLAH  SMPN 6 KOTA GORONTALO BERBASIS WEBSITE SEBAGAI MEDIA LAYANAN INFORMASI Taki, Mohammad Fachril; Katili, Muhammad Rifai; Amali, Lanto Ningrayati; Pomalingo, Advindo Rasta Taufiqillah; Miolo, Nazwa Dinarjo; Lahay, Sri Nilawaty
TRANSFORMASI Vol. 22 No. 1 (2026): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/7ct22327

Abstract

SMPN 6 Kota Gorontalo tidak memiliki website resmi yang aktif, sehingga informasi sekolah tersebar di berbagai platform tidak resmi seperti grup WhatsApp dan papan pengumuman fisik. Kondisi ini menyebabkan penyampaian informasi tidak terpusat, sulit diakses masyarakat luas, dan berpotensi menimbulkan kesalahan informasi yang berdampak pada menurunnya kualitas layanan publik sekolah. Penelitian ini bertujuan merancang dan membangun sistem informasi profil sekolah berbasis website sebagai media layanan informasi resmi yang terpusat dan mudah diakses oleh seluruh pemangku kepentingan. Pengembangan sistem menggunakan metode Waterfall dengan teknologi PHP Native, HTML, CSS, dan MySQL, serta didukung Laragon sebagai local server dan Visual Studio Code sebagai editor kode. Pengumpulan data dilakukan melalui observasi langsung, wawancara dengan guru dan tenaga kependidikan, studi dokumentasi, serta kajian pustaka. Sistem yang dihasilkan menyediakan halaman publik yang memuat profil sekolah, data guru, galeri kegiatan, berita, prestasi siswa, serta pengumuman kelulusan. Pada sisi admin, sistem dilengkapi fitur login aman, pengelolaan konten berbasis CRUD, dan dasbor analitik yang menampilkan tren nilai akademik dan performa kelulusan. Sistem juga dilengkapi dua layanan interaktif, yaitu Layanan Cek Kelulusan berbasis NIS yang memungkinkan siswa memeriksa status kelulusan secara mandiri, serta Layanan Helpdesk pengaduan anonim berbasis tiket untuk mendukung manajemen insiden. Pengujian dengan metode Black Box Testing menunjukkan seluruh fungsi sistem berjalan sesuai harapan tanpa ditemukan kesalahan. Sistem ini berhasil mengintegrasikan pengelolaan informasi sekolah ke dalam satu platform terpusat berbasis web, sehingga meningkatkan aksesibilitas, akurasi, dan efisiensi layanan informasi publik di SMPN 6 Kota Gorontalo. Kata Kunci: Sistem Informasi, Profil Sekolah, Website, Waterfall, PHP Native
RANCANG BANGUN SISTEM LAYANAN ADMINISTRASI PERSURATAN SMKN 4 GORONTALO BERDASARKAN FRAMEWORK ITIL V3 DOMAIN SERVICE DESIGN Refly K. Batalipu; Ghadiza M. Lompad; Natasya P. Daud; Rossa M. Molamahu; Zainab M. Diko; Muhamad Fadel N. Adam
TRANSFORMASI Vol. 22 No. 1 (2026): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jjjxhf08

Abstract

The mail administration service at SMKN 4 Gorontalo still relies on manual processes, resulting in delayed document distribution, difficulty retrieving archives, and a lack of structured monitoring. This study aims to design a mail administration information system (Simpers) using the ITIL V3 framework, specifically the Service Design domain, integrated with the Business Process Improvement (BPI) approach. The research methodology consists of three phases: data collection and field observation, Business Process Analysis and Improvement (covering As-Is BPMN modeling, evaluation, and To-Be process design), and Service Design (covering feature requirements, database design, UI design, and SLA). The results show that Simpers is equipped with integrated features including OCR-based mail input, digital disposition, e-archiving, Telegram notification, and an IT helpdesk with an SLA tiering system (S1–S4). The system eliminates manual bottlenecks identified in the As-Is process and transforms school administrative workflows into a digitalized, accountable, and traceable system Keywords : ITIL V3, Service Design, Mail Administration System, Business Process Improvement,  
Implementation of the LSTM Deep Learning Model for Water Quality Parameter Prediction febriani, yeza; astuti, dwi; Putra, Yusuf Wahyu Setiya; Handayani, Riska Dwi; Fatkhurrohman; Kapti
TRANSFORMASI Vol. 22 No. 1 (2026): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/t21qyp02

Abstract

Efficient water quality prediction is crucial amid the threat of increasing pollution. Conventional methods have limitations in terms of cost, time, and coverage, requiring an innovative approach based on artificial intelligence. This study aims to classify drinking water suitability using Long Short-Term Memory (LSTM) architecture, which is known to be effective for sequential data. The research method includes data collection from Kaggle, data pre-processing such as normalization and missing value handling, and data division into 80% for training and 20% for testing. The proposed LSTM model was evaluated using accuracy, precision, recall, and F1-Score metrics. The results show that the LSTM model is capable of achieving an overall accuracy of 95.47%, with a precision of 0.9511 and a recall of 0.9547. Although there are some False Positive classification errors (predicting water as unfit when it is actually fit), the overall performance of the model is excellent and reliable for this classification task. The conclusion of this study is that the LSTM model can be an effective and accurate solution for predicting water quality, supporting early detection and real-time pollution control efforts.
PENGARUH ELECTRONIC WORD OF MOUTH (eWOM) TERHADAP PERILAKU PEMBELIAN IMPULSIF PADA MARKETPLACE SHOPEE Azizah Hasna' Arifin; Naufal Afif; Meita Dwi Anggraeni; Alfian Chandra Yudiananta; Yesyifa Hanim Kurniavashti
TRANSFORMASI Vol. 22 No. 1 (2026): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/zgxmtr22

Abstract

Technological advances have shifted consumer behaviour towards e-commerce platforms, triggering the emergence of impulsive buying or spontaneous shopping without planning. This study aims to analyse the influence of electronic word-of-mouth (eWOM) on impulsive buying behaviour among Shopee marketplace users. The research method used was quantitative, involving the distribution of a questionnaire to 98 Shopee users, most of whom were Generation Z and Millennials aged 21-30. Data dianalisis dengan regresi linier sederhana dan pengujian hipotesis. The results of the study showed that eWOM has a positive and significant influence on impulsive purchases. This is evidenced by the value of the t statistic of 16.633, which is greater than the t table value (1.98498), as well as the significance value of 0.000 < 0.05. The analysis of the determination coefficient showed that eWOM contributes 13.9% to influencing impulsive purchasing decisions. These findings indicate that reviews, ratings, and testimonials from other users are considered credible and persuasive information, thus reducing cognitive barriers and prompting consumers to make spontaneous purchases.

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