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All Journal Jurnal Simetris Jurnal Informatika dan Teknik Elektro Terapan Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika dan Multimedia VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro JTERA (Jurnal Teknologi Rekayasa) JTAM (Jurnal Teori dan Aplikasi Matematika) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Adimas : Jurnal Pengabdian Kepada Masyarakat Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming JURNAL PEMASARAN KOMPETITIF Progresif: Jurnal Ilmiah Komputer Journal of Robotics and Control (JRC) Respati Journal of Computer System and Informatics (JoSYC) Journal of Innovation Information Technology and Application (JINITA) Jurnal Teknik Informatika (JUTIF) Jurnal Teknologi dan Bisnis Journal of Technology and Informatics (JoTI) Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam sudo Jurnal Teknik Informatika Hello World Blend Sains Jurnal Teknik Jurnal Informatika dan Multimedia Jurnal Informatika: Jurnal Pengembangan IT Hanif Journal of Information Systems Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Mahardika, Fajar
Politeknik Negeri Cilacap
Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences

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Strategi Keamanan VPS Menggunakan Pendekatan Berlapis: Studi Kasus Integrasi Cloudflare, 2FA, dan Monitoring Ratih, Ratih; Moniroh, Nur; Mahardika, Fajar
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.
Implementation of Payment Gateway in the Mobile-Based Pawon Mbok`E Eating House Ordering System Fajar Mahardika; Ratih; R. Bagus Bambang Sumantri
Journal of Innovation Information Technology and Application (JINITA) Vol 6 No 1 (2024): JINITA, June 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v6i1.2289

Abstract

This paper discusses the implementation of a payment gateway in the mobile-based Pawon Mbok'E eating house ordering system. The integration of a payment gateway into mobile applications is crucial for facilitating secure and convenient transactions. Pawon Mbok'E aims to enhance customer satisfaction by enabling users to order food and make payments seamlessly through their mobile devices. Method research used is development system order mobile based with payment gateway integration. This implementation involves selecting an appropriate payment gateway, integrating it with the existing ordering system, ensuring security measures are in place, and testing for reliability and user-friendliness. The success of this implementation will provide Pawon Mbok'E customers with a streamlined ordering and payment process, thereby improving overall service efficiency and customer experience. Obtained testing reliability with amount respondents there are 65 as well percentage prove 100%, subject This show if 65 respondents That breast milk as well as No there is incoming respondents​ to type Excluded
Mobile-Based Event Decoration Ordering System Using UAT Method with PIECES Framework Hadi Jayusman; Fajar Mahardika; Ratih
Journal of Innovation Information Technology and Application (JINITA) Vol 6 No 2 (2024): JINITA, December 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v6i2.2472

Abstract

The Mobile Event Decoration Booking System is an innovative solution designed to facilitate users in ordering event decorations. By implementing the User Acceptance Testing (UAT) method and the PIECES framework, this system ensures that the developed application meets the needs and expectations of users. This research aims to identify and analyze key features in the ordering process and evaluate user satisfaction with the application. Respondents provide valuable feedback regarding the interface, functionality, and overall user experience through UAT. The research results indicate that this application can enhance the efficiency of bookings, reduce communication errors between service providers and customers, and offer a better experience. With the application of the UAT method, users feel that this system effectively meets their needs, resulting in an improved experience in event planning. These findings suggest that the factors influencing user satisfaction and interest are adequate and should be maintained. The Mobile Event Decoration Booking System has successfully improved the efficiency and effectiveness of the booking service, with an average user satisfaction rate of 95%.
A Comparative Analysis of KIP-K Acceptance Prediction Based on School Type Using XGBoost, Random Forest, and SVM-RBF: Evaluation Through Accuracy and Data Visualization Riyadi Purwanto; Fajar Mahardika; Muhammad Nur Faiz
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 2 (2025): JINITA, December 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/10.35970/jinita.v7i2.2948

Abstract

The Indonesia Smart College Card (Kartu Indonesia Pintar-Kuliah / KIP-K) is a national initiative aimed at expanding access to higher education for students from socioeconomically disadvantaged backgrounds. This study, conducted at Politeknik Negeri Cilacap, investigates the prediction of KIP-K acceptance based on the type of high school attended by applicants. A comparative analysis was carried out using three supervised machine learning algorithms: Extreme Gradient Boosting (XGBoost), Random Forest, and Support Vector Machine with Radial Basis Function (SVM-RBF). The dataset, sourced from institutional admission records between 2022 and 2024, comprises information on school types (public, private, vocational, madrasah, and others), demographic attributes, and the KIP-K acceptance status. The data were split into training and testing sets using a 50:50 stratified sampling technique to preserve class distribution. Model performance was evaluated using standard classification metrics, including accuracy, precision, recall, and F1-score. Additionally, confusion matrices, ROC curves, and feature importance visualizations were used to enhance model interpretability. The experimental results demonstrate that the XGBoost algorithm consistently outperformed the other models across all performance metrics. Specifically, XGBoost exhibited the highest discriminatory power with an AUC of 0.93, followed by Random Forest (0.90) and SVM-RBF (0.85). These findings affirm the suitability of tree-based ensemble methods for classification tasks in educational domains and emphasize the predictive relevance of school type in determining KIP-K eligibility. The study presents a data-driven decision support framework that can contribute to more objective, transparent, and equitable scholarship allocation practices, particularly within the context of vocational higher education institutions in Indonesia
Performance Evaluation and Optimization of an IoT-Based Fish Smoking Monitoring System for Ensuring Product Quality Syafirullah, Lutfi; Mahardika, Fajar; Purwanto, Riyadi; Prasetyanti, Dwi Novia
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15736

Abstract

Fish smoking is a widely used preservation method; however, the quality of smoked fish is highly dependent on the stability of temperature, humidity, and smoking duration. Manual control of these parameters has limitations and may reduce product quality. Existing studies on fish smoking monitoring systems primarily focus on temperature control without providing quantitative evaluation of how multi-parameter process stability affects product quality and shelf life. This study aims to design and implement an Internet of Things (IoT)-based monitoring system for fish smoking equipment to ensure the quality of smoked fish. The research method used is Research and Development (R&D), which includes needs analysis, system design, development, testing, and evaluation stages. The system integrates temperature and humidity sensors, a microcontroller, and an IoT platform for real-time monitoring. The test results show that the system is capable of monitoring the smoking chamber temperature within a range of 60–80 °C with an average error of ±1.5 °C compared to a standard measuring instrument, and maintaining an optimal temperature of 70 °C during the smoking process. Quality testing of the smoked fish indicates uniform doneness, a golden-brown color, firm texture, and an average moisture content reduction of 35%. Shelf-life testing shows that the smoked fish can last up to 7–10 days at room temperature and up to 21 days under cold storage without significant changes in aroma and texture. Unlike previous works, this study provides quantitative evidence that improved stability of multiple smoking parameters through IoT-based monitoring significantly enhances product quality consistency and extends the shelf life of smoked fish.
Deteksi Kantuk Pengemudi Berdasarkan Keterbukaan Mata Menggunakan Model Ringan dari Spatiotemporal Pyramidal CNN Purba, Angga Maulana; Mahardika, Fajar; Desmana, Satriawan; Moniroh, Nur
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.
Digitalisasi Pemasaran Produk UMKM: Inovasi, Branding, dan Ekspansi Pasar Nur Muniroh; Fajar Mahardika; Ratih, Ratih; Widya Pratiwi
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol. 7 No. 2 (2025): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimaspolibatam.v7i2.10763

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are a vital sector in Indonesia’s economy; however, they still face significant challenges in effectively marketing their products in the digital era. The main issues encountered include a lack of product innovation, weak branding strategies, and limited market expansion through digital platforms. MSME products often do not follow market trends and lack unique selling points, while the brands built tend to be unappealing and inconsistent both visually and narratively. On the other hand, the utilization of digital technology to reach wider markets remains limited due to low digital literacy and the absence of effective marketing strategies. This program aims to provide a comprehensive solution through training and mentoring in digital marketing, focusing on innovative product development, brand identity strengthening, and the use of social media, e-commerce, and SEO. It is expected that this initiative will enhance MSMEs' competitiveness, expand their market reach, and establish a more adaptive and sustainable business ecosystem amid technological advancement
Optimalisasi Manajemen Downtime pada SIMRS dan REM di RSUD dr. R. Goeteng Taroenadibrata Purbalingga Muhammad, Kukuh; Fajar Mahardika; Rahmawan Bagus Trianto; Joko Purwanto
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol. 7 No. 2 (2025): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimaspolibatam.v7i2.11194

Abstract

Guidance in managing downtime in the Hospital Management Information System (SIMRS) and Electronic Medical Records (RME) is a strategic step to maintain operational continuity and the quality of healthcare services at RSUD dr. R. Goeteng Taroenadibrata Purbalingga. Recurrent downtime negatively impacts administrative processes and medical services, necessitating systematic and continuous management. This study aims to provide technical guidance in managing downtime and to enhance the understanding and skills of human resources, particularly the Information Technology (IT) team and users of SIMRS and RME. The methods employed include technical training, identification of downtime causes, development of system maintenance procedures, and capacity building for users in operating the information systems. The results indicate that structured training and technical support can reduce downtime frequency and accelerate responses to technical disruptions. These findings highlight the importance of strengthening the IT team through ongoing training, more systematic system maintenance planning, and the establishment of clear, user-friendly operational procedures. Continuous guidance is expected to improve the effectiveness of downtime management and support the smooth delivery of healthcare services. This effort is an integral part of enhancing the quality of information systems and advancing digital transformation in healthcare services.
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.
Co-Authors Abdillah, Muhammad Labib Abdul Hakim Prima Yuniarto Abdul Razak Naufal Abdul Razak Naufal Adam Prayogo Kuncoro Adelia Fitriani Ahmad Zulfan Akrim Teguh Suseno Al’ Amin, M. Al’ Amin, M. Amin, M. Al' Anang Martoyo Andik Wijanarko, Andik Arie Aryanto Aurora Dwi Khatulistian Bambang Sumantri, R Bagus Bambang Sumatri, Raden Bagus Desmana, Satriawan Dhanar Intan Surya Saputra Dhanar Intan Surya Saputra Dhanar Intan Surya Saputra Fazar Sidik Guntur Subari Hadi Jayusman Hasan Basri Hendra Marcos I Putu Dody Suarnatha Ihsan Alparisi Inayatul Inayah Inayatur Robaniyyah Isep Saepudin Jayusman, Hadi Joko Purwanto Joko Purwanto Kabul Agus Purwanto Kholil Mustofa Lutfi Syafirullah M. Al ‘Amin M. Azwan Merani, Sania Galuh Miftahul Khoiri Mohammad AL AMIN Moniroh, Nur Muhammad Ghofinda Prasetia Muhammad Nur Faiz Muhammad Sandi Muhammad Yusril Ihzam Muhammad, Kukuh Muin, Muhammad Abdul Muin Noviana Safira Nugroho, Adlan Nur Azizah Nur Muniroh Nurul Alfiah Pari, Riki Aldi Prasetyanti, Dwi Novia Puji Cahniya Sari Purba, Angga Maulana Rahmawan Bagus Trianto Ratih Ratih ratih ratih Riyadi Purwanto Riyadi Purwanto Rizki Ripai Saepudin, Isep Samsuri Yahya Samsuri Yahya Setiawan, Endri Shandy, Sony Veri Sidik, Fazar Sitaresmi Wahyu Handani, Sitaresmi Wahyu Suhenda Suhenda Suhenda, Suhenda Suseno, Akrim Teguh Tundo, Tundo Widya Pratiwi Yahya, Samsuri