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Mahardika, Fajar
Politeknik Negeri Cilacap
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Design of the HealthyQue Mobile Application for Hospital Registration Based on Android Using the Design Thinking Approach and UML Modeling Fajar Mahardika; Rizki Ripai; Sony Veri Shandy; Fazar Sidik; Riki Aldi Pari; Kukuh Muhammad
Blend Sains Jurnal Teknik Vol. 4 No. 2 (2025): Edisi Oktober
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v4i2.1287

Abstract

The increasing number of patient visits to hospitals each year poses challenges in providing fast and efficient services, especially during the registration process. Conventional registration systems often cause long queues and patient discomfort. This study aims to design the HealthyQue mobile application as a digital solution for hospital registration based on the Android platform. The application development follows the Design Thinking approach through five stages: empathize, define, ideate, prototype, and test, to deeply explore user needs and behaviors. The results of this process are realized in the form of system modeling using Unified Modeling Language (UML), including use case diagrams, activity diagrams, sequence diagrams, and class diagrams to structurally depict the system's workflow and architecture. This application offers features such as online patient registration, doctor schedule checking, and real-time queue notifications. The implementation of HealthyQue is expected to improve hospital administrative efficiency, reduce patient waiting times, and enhance service quality. The design results demonstrate that the Design Thinking approach effectively produces solutions aligned with user needs, while UML modeling supports the system documentation in a technical and systematic manner.
Strategi Keamanan VPS Menggunakan Pendekatan Berlapis: Studi Kasus Integrasi Cloudflare, 2FA, dan Monitoring Ratih Ratih; Nur Moniroh; Fajar Mahardika
Blend Sains Jurnal Teknik Vol. 4 No. 2 (2025): Edisi Oktober
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v4i2.1315

Abstract

Virtual Private Server (VPS) merupakan salah satu komponen krusial dalam penyediaan layanan digital modern karena fleksibilitas dan skalabilitasnya. Namun, seiring meningkatnya adopsi VPS, risiko keamanan terhadap sistem ini pun semakin tinggi. Ancaman seperti Distributed Denial of Service (DDoS), brute force, dan eksploitasi akses ilegal menjadi tantangan serius yang dapat mengganggu ketersediaan layanan dan mengancam kerahasiaan data. Penelitian ini mengusulkan strategi keamanan berbasis pendekatan berlapis (layered security) yang menggabungkan tiga elemen utama: (1) Cloudflare sebagai lapisan proteksi awal untuk menyaring lalu lintas berbahaya dan mencegah serangan DDoS; (2) Two-Factor Authentication (2FA) untuk meningkatkan keamanan akses akun administrator; dan (3) sistem monitoring aktif yang memungkinkan deteksi dini terhadap aktivitas mencurigakan dan memberikan respon otomatis. Metode studi kasus digunakan dengan mengimplementasikan arsitektur keamanan tersebut pada sebuah VPS berbasis Linux. Pengujian dilakukan melalui simulasi serangan dan evaluasi efektivitas masing-masing lapisan keamanan. Hasil penelitian menunjukkan bahwa kombinasi ketiga komponen tersebut mampu secara signifikan menurunkan risiko kompromi sistem, dengan peningkatan kemampuan deteksi dini terhadap ancaman sebesar 85% serta pemblokiran otomatis terhadap akses ilegal yang terintegrasi melalui Cloudflare dan sistem monitoring. Penelitian ini menyimpulkan bahwa pendekatan berlapis memberikan perlindungan yang lebih komprehensif dibandingkan sistem proteksi tunggal, dan direkomendasikan sebagai standar minimum dalam pengamanan VPS.
IoT-Based Smart Detector with SVM and XGBoost for Real-Time Child Growth Monitoring and Stunting Risk Prediction Mahardika, Fajar; Syafirullah, Lutfi; Nugroho, Adlan
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.5394

Abstract

Stunting is a major public health issue, particularly in developing countries, causing long-term physical and cognitive impairments in children that reduce their quality of life and future productivity. To address this challenge, this study aims to develop an IoT-based smart detection system for child growth monitoring, enabling quicker and more accurate detection of stunting risks. The proposed system combines both hardware and intelligent software components to measure key growth indicators—height, weight, and BMI—using digital sensors and microcontrollers, transmitting the collected data to a cloud platform for real-time analysis. Machine learning algorithms, such as Support Vector Machine (SVM) and Extreme Gradient Boosting (XGBoost), are employed to predict stunting risk. Experimental results show that the XGBoost model outperforms SVM, achieving an accuracy of 80%, precision of 82%, recall of 78%, and F1-score of 79.9%, compared to SVM’s accuracy of 70%, precision of 68%, recall of 65%, and F1-score of 66.4%. This research provides a scalable technological framework for real-time stunting monitoring and early intervention, with the potential for implementation in resource-limited settings. By supporting national stunting reduction initiatives, the system enhances public health innovation and child welfare.
Deteksi Kantuk Pengemudi Berdasarkan Keterbukaan Mata Menggunakan Model Ringan dari Spatiotemporal Pyramidal CNN Angga Maulana Purba; Fajar Mahardika; Satriawan Desmana; Nur Moniroh
sudo Jurnal Teknik Informatika Vol. 4 No. 4 (2025): Edisi Desember
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/sudo.v4i4.1342

Abstract

Keselamatan berkendara merupakan hal yang penting dan menjadi topik yang krusial diperbincangkan termasuk mendeteksi kantuk pengemudi. Dalam Computer Vision salah satu pendekatan yang dilakukan adalah mendeteksi kedipan mata pengemudi. Penelitian tahun 2022 menunjukkan hasil yang baik dalam penggunaan Pyramidal Bottleneck CNN untuk mempelajari fitur spatio dan temporal pada kedipan mata. Kemudian tahun 2023 dikembangkan model yang lebih ringan dengan Depth-wise Separable Convolution, sehingga parameter latih bisa diperkecil. Oleh karena itu, Penelitian ini bertujuan mengadaptasi arsitektur tersebut untuk kasus keterbukaan mata. Kedipan mata berlangsung cukup singkat dan hanya sepersekian detik, sehingga belum cukup membantu untuk mendeteksi kantuk. Model tersebut berhasil dilatih pada data primer yang terbatas dan dibandingkan dengan model baseline. Model terbaik secara keseluruhan menghasilkan F1 score 0.75, Precision 0.63, dan Recall 0.93. Model tersebut bisa berjalan diatas CPU dengan rata-rata 12 FPS (Frame Per Second). Hasil recall yang cukup tinggi menunjukkan model tersebut bisa menangkap momen mata tertutup cukup banyak, hal ini cukup krusial karena kehilangan momen mata tertutup akan fatal akibatnya, meskipun harus mengorbankan precision atau masih tinggi false positive-nya.
Optimalisasi SIAKAD Berbasis Mobile melalui Redesign Antarmuka dan Pengalaman Pengguna dengan Pendekatan User-Centered Design Hilmi Mubarok; Suryo Nugroho; Khalifah Brilianti Ramadhani; Nadjwa Naela Aziz; Fajar Mahardika
Kurawal - Jurnal Teknologi, Informasi dan Industri Vol 9 No 1 (2026): Vol 9 No 1 (2026): Jurnal Kurawal Volume 9, Nomor 1, Maret 2026
Publisher : Universitas Ma Chung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33479/kurawal.v9i1.1440

Abstract

The rapid development of mobile technology encourages educational institutions to provide academic systems that are easily accessible and efficient for users. However, many academic systems still have unintuitive interfaces and suboptimal user experiences, which hinder effective usage. This study aims to optimize the academic system on a mobile platform through a redesign of the User Interface (UI) and User Experience (UX) with a user-centered approach. The method used in this study is the User-Centered Design (UCD) approach, which involves users in every stage of the design process, including requirements analysis, wireframing, prototyping, and usability evaluation. Data were collected through observations, interviews, and questionnaires involving 50 respondents who are active users of the academic system. The results show a significant improvement after the redesign. The System Usability Scale (SUS) score increased from 62.5 (marginal category) to 85.2 (excellent category). The task success rate improved from 70% to 92%, while the average task completion time decreased by 35%. In addition, user satisfaction increased by 40% based on questionnaire results compared to the previous system. These findings indicate that implementing a user-centered UI/UX redesign significantly improves usability, efficiency, and user satisfaction in mobile-based academic systems
E-Warung Mobile: Inovasi UI/UX untuk Mendorong Digitalisasi Usaha Kecil Adhitya Putra Arif Nugroho; Fareza Maulana A.P; Luhtitisari Luhtitisari; Fajar Mahardika
Kurawal - Jurnal Teknologi, Informasi dan Industri Vol 9 No 1 (2026): Vol 9 No 1 (2026): Jurnal Kurawal Volume 9, Nomor 1, Maret 2026
Publisher : Universitas Ma Chung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33479/kurawal.v9i1.1444

Abstract

Digital transformation in the small business sector, particularly traditional warung (small retail shops), has become an urgent necessity amid the rapid advancement of information technology. However, low levels of digital literacy and limited access to user-friendly applications remain significant barriers to technology adoption. This study aims to design and evaluate the quality of the User Interface (UI) and User Experience (UX) of the E-Warung Mobile application as an effort to support the digitalization of small businesses. The research method employed is a design thinking approach, which consists of the stages of empathize, define, ideate, prototype, and testing. User experience evaluation was conducted using the User Experience Questionnaire (UEQ), which measures six main aspects: Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. Data were collected through questionnaires distributed to 25 respondents who are small business owners or prospective users, after they completed a series of task scenarios using the application prototype. The analysis results indicate that the mean scores for each UEQ aspect are as follows: Attractiveness (1.75), Perspicuity (1.68), Efficiency (1.72), Dependability (1.65), Stimulation (1.80), and Novelty (1.60) on a scale ranging from -3 to +3. Based on the UEQ benchmark, all aspects fall within the “above average” to “good” categories, indicating that the application demonstrates high usability, is easy to understand, efficient, and capable of delivering a positive user experience. In conclusion, this study shows that the implementation of user-centered UI/UX design, quantitatively evaluated using UEQ, can enhance the quality of user interaction and has the potential to promote broader adoption of digital technology among small businesses
Implementasi QR Code untuk Sistem Penyewaan Lapangan Futsal Berbasis Android Fajar Mahardika; Raden Bagus Bambang Sumantri; Rizki Ripai; Riki Aldi Pari
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp147-154

Abstract

This research aims to implement QR code technology in an Android-based futsal field rental system. The development method used is an Android-based software development method (Mobile Apps Development). QR codes are used as a medium for user identification and verification when ordering a futsal field. This system is designed to make it easier for users to make field reservations quickly and efficiently. Users can make orders via the Android application by scanning the QR code available at the futsal field location. The implementation results show that using QR codes can speed up the reservation process and reduce the possibility of data input errors. Apart from that, using this system can also improve the user experience in ordering futsal fields. It is hoped that the implementation of QR codes in this system can increase efficiency and convenience in the overall futsal field ordering process.
Deep Learning-Based Classification of Cikadu Batik Motifs Using ResNet50 and MobileNetV2 Rizki Ripai; Fajar Mahardika; Fazar Sidik; Nurul Badriah; Angga Maulana Purba
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 3 (2026): Article Research July 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i3.16368

Abstract

Batik motif recognition is essential for cultural heritage preservation and the digitization of traditional Indonesian textile knowledge. This study proposes a deep learning-based framework for the automatic classification of Cikadu Batik motifs from Tanjung Lesung, Banten — a regionally distinct batik pattern that has not been systematically studied in prior computational literature. Two convolutional neural network (CNN) architectures were implemented and comparatively evaluated under identical experimental conditions: ResNet50, a high-capacity model employing residual skip connections, and MobileNetV2, a lightweight model utilizing depthwise separable convolutions and inverted residual blocks. A curated dataset of 2,500 images spanning five motif classes was constructed through collaboration with local batik artisans, preprocessed via resizing (224×224), pixel normalization, and augmentation (rotation, zoom, horizontal flip, brightness adjustment), and partitioned using a stratified 70:15:15 split. Both models were trained with transfer learning from ImageNet weights, using the Adam optimizer (lr=0.0001), categorical cross-entropy loss, batch size of 32, and early stopping over 30 epochs. Model evaluation employed accuracy, precision, recall, F1-score, AUC-ROC, inference time, and parameter count. ResNet50 achieved 95.51% accuracy, 95.67% precision, 95.34% recall, 95.50% F1-score, and 99.56% AUC-ROC, with an inference time of 18.2 ms and 25.64 million parameters. MobileNetV2 achieved 92.13% accuracy, 92.28% precision, 91.98% recall, 92.13% F1-score, and 98.89% AUC-ROC, with an inference time of 8.7 ms and only 3.54 million parameters — approximately 7× lighter and 2× faster. These results empirically establish a clear accuracy-efficiency trade-off, with ResNet50 favored for accuracy-critical server-based systems and MobileNetV2 better suited for real-time mobile deployment. This study constitutes the first published benchmark for deep learning-based Cikadu Batik classification and provides a principled basis for architecture selection in regional batik recognition applications
Dari Tiket ke Solusi: Transformasi UI/UX dalam Sistem Helpdesk Menggunakan Metode Double Diamond Bambang Bima Nugraha; Muhammad Gilland Taffy Shafa Sheehan; Nur Ifant Ristanto; Salsa Bila; Fajar Mahardika
INFOKABIN (Informatika Komputasi Aplikasi dan Bisnis) Vol 1 No 2 (2026): Juli 2026
Publisher : Universitas Al-Irsyad Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36760/ifkb.v1i2.740

Abstract

The helpdesk system is an essential component in supporting user services; however, several issues are still frequently encountered, such as a less intuitive interface, complex ticket reporting workflows, and low user satisfaction levels. This study aims to transform the UI/UX design of the helpdesk system in order to improve efficiency, effectiveness, and user experience. The method used in this study is the Double Diamond method, which consists of four stages: Discover, Define, Develop, and Deliver. This study involved 50 respondents, consisting of system users and administrators. Data collection was conducted through observation, interviews, and usability testing before and after the redesign. The results show a significant improvement after the implementation of the new design. The average ticket creation time decreased from 4.5 minutes to 2.1 minutes (an efficiency increase of 53%), the task success rate increased from 68% to 90%, and the error rate decreased from 25% to 10%. In addition, the user satisfaction score increased from 2.8 to 4.2 (on a 1–5 scale), and the System Usability Scale (SUS) score improved from 58 (poor category) to 82 (good category). The findings indicate that the application of the Double Diamond method is effective in producing a more user-friendly and efficient UI/UX design, as well as significantly improving user satisfaction. Improvements in navigation structure and ticket reporting workflows also have a positive impact on the overall performance of the helpdesk system.
Pengembangan Sistem Informasi Petshop Pawarca Berbasis Web Menggunakan Metode Rapid Application Development (RAD) dan Black Box Testing Arsa Anggun Anggraeni; Felista Argita Putri; Salsabila Mutiara Defa; Fajar Mahardika; Nur Muniroh; Cahya Vikasari
INFOKABIN (Informatika Komputasi Aplikasi dan Bisnis) Vol 1 No 2 (2026): Juli 2026
Publisher : Universitas Al-Irsyad Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36760/ifkb.v1i2.766

Abstract

Pawarca Petshop is a business engaged in the sale of pet products and grooming services. The processes of managing product data, sales transactions, grooming services, and delivering information to customers were previously conducted conventionally, resulting in inefficiencies in supporting business operations. This study aims to develop a web-based information system for Pawarca Petshop to improve data management efficiency and enhance customer service quality. The system was developed using the Rapid Application Development (RAD) method, which consists of the requirements planning, user design, construction, and cutover phases. This method was chosen because it enables faster system development through active user involvement throughout the development process. The developed system provides features for product management, grooming service management, service booking, sales transactions, and customer data management, all accessible through a web-based platform. System testing was conducted using the Black Box Testing method on 25 test scenarios covering all major system functionalities. The testing results showed that all scenarios were successfully executed according to the specified functional requirements, achieving a success rate of 100%. In addition, based on User Acceptance Testing (UAT) involving 10 respondents, the system achieved a user satisfaction score of 92.4%, indicating that it is easy to use and effectively meets the operational needs of Pawarca Petshop. The implementation of the system also reduced the average time required for transaction processing and data recording from 15 minutes to 5 minutes per transaction, representing an efficiency improvement of 66.7%. Based on the results of this study, the web-based Pawarca Petshop Information System developed using the RAD method successfully meets user requirements and improves the effectiveness and efficiency of business processes at Pawarca Petshop..
Co-Authors Abdillah, Muhammad Labib Abdul Hakim Prima Yuniarto Abdul Razak Naufal Abdul Razak Naufal Adam Prayogo Kuncoro Adelia Fitriani Adhitya Putra Arif Nugroho Adlan Nugroho Ahmad Zulfan Akmal Firmansyah Al’ Amin, M. Al’ Amin, M. Amin, M. Al' Anang Martoyo Andik Wijanarko, Andik Angga Maulana Purba Angga Maulana Purba Arie Aryanto Arsa Anggun Anggraeni Aurora Dwi Khatulistian Bambang Bima Nugraha Bambang Sumatri, Raden Bagus Cahya Vikasari Dede Yusuf Dhanar Intan Surya Saputra Dhanar Intan Surya Saputra Dhanar Intan Surya Saputra Dwi Novia Prasetyanti Fareza Maulana A.P Fazar Sidik Felista Argita Putri Guntur Subari Hadi Jayusman Hasan Basri Hendra Marcos Hilmi Mubarok I Putu Dody Suarnatha Ihsan Alparisi Ilham Budi Trisetyo Inayatul Inayah Inayatur Robaniyyah Isep Saepudin Jayusman, Hadi Joko Purwanto Kabul Agus Purwanto Khalifah Brilianti Ramadhani Kholil Mustofa Kukuh Muhammad Kukuh Muhammad Laura Sari Luhtitisari Luhtitisari Lutfi Syafirullah M. Al ‘Amin M. Azwan Merani, Sania Galuh Miftahul Khoiri Mohammad AL AMIN Muhammad Ghofinda Prasetia Muhammad Gilland Taffy Shafa Sheehan Muhammad Nur Faiz Muhammad Sandi Muhammad Yusril Ihzam Muhammad, Kukuh Muin, Muhammad Abdul Muin Nadjwa Naela Aziz Noviana Safira Nugroho, Adlan Nur Azizah Nur Ifant Ristanto Nur Moniroh Nur Muniroh Nur Muniroh Nurul Alfiah Nurul Badriah Pari, Riki Aldi Prasetyanti, Dwi Novia Puji Cahniya Sari Raden Bagus Bambang Sumantri Rahmawan Bagus Trianto Randi Afif Ratih Ratih Ratih Hafsarah Maharrani ratih ratih Ratih Ratih Riki Aldi Pari Riki Aldi Pari Riyadi Purwanto Riyadi Purwanto Rizki Ripai Rizki Ripai Rizqya Chandra Muji Pratama Rostika Listyaningrum Saepudin, Isep Salsa Bila Salsabila Mutiara Defa Samsuri Yahya Samsuri Yahya Satriawan Desmana Setiawan, Endri Shandy, Sony Veri Sidik, Fazar Sitaresmi Wahyu Handani, Sitaresmi Wahyu Sony Veri Shandy Suhenda Suhenda Suhenda, Suhenda Suryo Nugroho Suseno, Akrim Teguh Tri Stiyo Famuji Tundo, Tundo Widya Pratiwi Yahya, Samsuri