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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
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 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 Kabul Agus Purwanto Kholil Mustofa 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 Nurul Alfiah Pari, Riki Aldi Puji Cahniya Sari Ratih Ratih ratih ratih 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 Yahya, Samsuri