UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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Tingkat Keamanan Jaringan Home Wi-Fi Di Kota Yogyakarta Terhadap Password Attack
No full textPenggunaan teknologi Wi-Fi yang meningkat seiring berjalanannya waktu menimbulkan keresahan dikarenakan masalah keamanan jaringan yang masih mendapat sedikit perhatian. Kota Yogyakarta sebagai penyandang kota dengan indeks literasi digital tertinggi dan perencanaan program smart city-nya belum ada jaminan keamanan terkait permasalahan ini. Penelitian ini ditunjukan untuk mengkaji tingkat keamanan jaringan home Wi Fi terhadap password attack untuk keperluan data statistik dan bahan edukasi. Metode pengambilan sampel yang digunakan yaitu teknik quota sampling dan penetration testing sebagai metode pengumpulan datanya. Hasil penelitian menunjukan serangan WPA cracking dan WPS cracking berhasil mendapatkan sebagian kecil akses login berupa password serta mengukur persentase keamanan tingkat kota maupun di setiap kecamatannya. Selain data serangan, terdapat beberapa rekomendasi untuk melindungi access point supaya terhindar dari serangan tersebut.
Kata kunci: Wi-Fi, password attack, WPA cracking, WPS cracking
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The Security Level Of Home Wi-Fi Networks Against Password Attacks
The escalating use of Wi-Fi technology has raised concerns due to network security issues that often receive inadequate attention. Despite Yogyakarta\u27s status as a city with the highest digital literacy index and its smart city program initiatives, there is no guaranteed security regarding these problems. This research aims to assess the security level of home Wi-Fi networks against password attacks for statistical data and educational purposes. The sampling method employed was quota sampling, with penetration testing used as the data collection method. The research results indicate that WPA cracking and WPS cracking attacks successfully obtained a small portion of login credentials in the form of passwords, and measured the percentage of security levels at the city level and in each sub-district. In addition to the attack data, several recommendations are provided to protect access points from these attacks.
Keywords: Wi-Fi, password attack, WPA cracking, WPS crackin
Optimasi Keamanan dan Penggunaan Bandwidth pada Jaringan Internet Menggunakan Proxy Server di CV. Peut Sagoe Design
No full textKeamanan jaringan dan efisiensi penggunaan bandwidth merupakan faktor kunci bagi perusahaan yang bergantung pada internet untuk operasional harian. CV. Peut Sagoe Design, sebuah perusahaan arsitektur dan rekayasa teknik, menghadapi masalah pemborosan bandwidth akibat akses non-produktif serta risiko keamanan karena kurangnya kontrol lalu lintas data. Penelitian ini bertujuan untuk menganalisis efektivitas penerapan proxy server dalam meningkatkan keamanan jaringan dan mengoptimalkan penggunaan bandwidth. Metode penelitian terapan dengan pendekatan kuantitatif digunakan, melibatkan observasi, wawancara dengan 10 karyawan dan 2 staf IT, serta pengukuran parameter jaringan menggunakan PRTG Network Monitor dan Wireshark. Implementasi dilakukan dengan Squid Proxy pada Ubuntu Server 22.04, dikonfigurasi dengan caching, filtering, dan access control list (ACL). Data dikumpulkan sebelum dan sesudah implementasi untuk membandingkan rata-rata penggunaan bandwidth, kecepatan unduh/unggah, dan latensi. Hasil menunjukkan penurunan penggunaan bandwidth sebesar 42%, peningkatan kecepatan unduh sebesar 38,8%, penurunan latensi sebesar 47,7%, dan peningkatan stabilitas jaringan. Uji statistik paired t-test menghasilkan nilai p = 0,003 (< 0,05), menunjukkan perbedaan signifikan sebelum dan sesudah implementasi. Wawancara mengungkapkan akses cloud yang lebih cepat, waktu unggah/unduh yang lebih singkat, dan berkurangnya distraksi kerja akibat pembatasan akses. Penerapan proxy server terbukti efektif dalam meningkatkan efisiensi jaringan, keamanan data, dan produktivitas kerja.
Keywords: proxy server, network security, bandwidth optimization, squid, computer network
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Optimizing Security and Bandwidth Usage on Internet Networks Using a Proxy Server at CV. Peut Sagoe Design
Network security and efficient bandwidth usage are crucial factors for companies that rely on the internet for daily operations. CV. Peut Sagoe Design, an architecture and engineering firm, faces bandwidth wastage due to unproductive access and security risks due to lack of data traffic control. This study aims to analyze the effectiveness of implementing a proxy server in improving network security and optimizing bandwidth usage. The study uses an applied method with a quantitative approach, involving observation, interviews with 10 employees and 2 IT staff, and network parameter measurements using PRTG Network Monitor and Wireshark. Implementation was carried out using Squid Proxy on Ubuntu Server 22.04 configured with caching, filtering, and access control lists (ACLs). Data before and after implementation were compared to assess changes in average bandwidth usage, download/upload speeds, and latency. The results show a 42% decrease in bandwidth usage, a 38.8% increase in download speed, a 47.7% decrease in latency, and an increase in network stability. A paired t-test yielded a p-value of 0.003 (<0.05), proving a significant difference before and after implementation. Interviews revealed increased cloud access speeds, shorter upload/download times, and reduced work distractions due to access restrictions. From a security perspective, before the proxy was implemented, data traffic was vulnerable to information leaks and malware attacks. After implementation, these risks were successfully mitigated through filtering, ACLs, and activity logging that supports digital forensic analysis. Thus, the proxy server implementation proved effective in optimizing bandwidth, improving network security, and supporting company productivity.
Keywords: proxy server, network security, bandwidth optimization, squid, computer networ
Evaluasi Tingkat Keamanan Teknologi Informasi Menggunakan Indeks KAMI Pada Pondok Pesantren di Kabupaten Situbondo
No full textDalam era digital yang semakin berkembang, tata kelola teknologi informasi (TI) memiliki peran krusial dalam mendukung efektivitas operasional dan strategis suatu organisasi, termasuk lembaga pendidikan Islam seperti pondok pesantren. Penelitian ini bertujuan untuk mengevaluasi tingkat kematangan keamanan teknologi informasi di 21 pondok pesantren di Kabupaten Situbondo dengan menggunakan Indeks KAMI versi 5.0 yang berbasis pada standar SNI ISO/IEC 27001:2022. Metode penelitian yang digunakan adalah kualitatif. Data dikumpulkan melalui penyebaran kuesioner serta verifikasi kuesioner yang mencakup tujuh area utama indeks keamanan informasi (KAMI) dan satu area suplemen. Hasil penelitian menunjukkan bahwa sebagian besar pondok pesantren berada pada tingkat kematangan I dan I+, yang menandakan bahwa pengelolaan keamanan teknologi informasi masih dilakukan secara informal dan belum terdokumentasi dengan baik. Beberapa aspek penting, seperti manajemen risiko, perlindungan data pribadi, serta pengelolaan aset informasi, belum diimplementasikan secara optimal. Selain itu, keterlibatan pihak ketiga dalam mendukung pengelolaan sistem informasi masih sangat terbatas. Dengan demikian, dapat disimpulkan bahwa tingkat kesiapan keamanan teknologi informasi di pondok pesantren Kabupaten Situbondo masih rendah sehingga diperlukan intervensi strategis melalui kebijakan, peningkatan kapasitas sumber daya manusia, serta kerja sama eksternal untuk mencapai minimal tingkat kematangan Level III+.
Kata kunci: Tata Kelola Teknologi Informasi, Indeks KAMI, Pondok Pesantren, SNI ISO/IEC 27001:2022
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Evaluation of Information Technology Security Level Using the KAMI Index at Islamic Boarding Schools in Situbondo Regency
In the rapidly evolving digital era, information technology (IT) governance plays a crucial role in supporting both operational and strategic effectiveness within organizations, including Islamic educational institutions such as Islamic boarding schools (pondok pesantren). This study aims to evaluate the maturity level of information technology security in 21 Islamic boarding schools in Situbondo Regency using the KAMI Index version 5.0, which is based on the SNI ISO/IEC 27001:2022 standard. A qualitative research method was employed, with data collected through questionnaires and their verification, covering seven main areas of the KAMI information security index and one supplementary area. The findings reveal that most Islamic boarding schools are at maturity levels I and I+, indicating that information technology security management is still carried out informally and has not been properly documented. Key aspects such as risk management, personal data protection, and information asset management have not yet been optimally implemented. Furthermore, third-party involvement in supporting information system management remains very limited. Therefore, it can be concluded that the readiness level of information technology security in Situbondo’s Islamic boarding schools is still low, requiring strategic interventions through policy development, capacity building of human resources, and external collaboration to achieve at least maturity level III+.
Keywords: Information Technology Governance, KAMI Index, Islamic Boarding Schools, SNI ISO/IEC 27001:202
Preparation of Activated Carbon from Coffee Grounds as a Supercapacitor Electrode: Pembuatan Karbon Aktif dari Ampas Kopi sebagai Elektroda Superkapasitor
No full textThe growing demand for sustainable energy storage solutions has spurred interest in supercapacitors, with biomass-derived activated carbon emerging as a promising electrode material. This study investigates the fabrication and performance of activated carbon from spent coffee grounds for application in supercapacitors. Carbonization was carried out at 300°C, 500°C, and 700°C, followed by chemical activation using HCl, KOH, and ZnCl₂. The resulting activated carbons were characterized to determine their physicochemical properties. Optimal activated carbon was obtained at 700°C with KOH activation, yielding 84.75% fixed carbon and conforming to SNI 06-3730-1995 standards. Supercapacitor performance testing revealed that the best results were achieved using electrodes prepared from carbon obtained at 300°C and activated with ZnCl₂, yielding a voltage of 352.9 mV and a capacitance of 465.58 μF after a 1-minute charge. These findings suggest that spent coffee grounds are a viable source of electrode material for efficient, low-voltage supercapacitors
Innovative Ergonomic Solutions: Integrating 3D-CAD, Virtual Reality, and Mixed Methods for Railway Maintenance Workers
No full textPhysical ergonomics is critical in safeguarding worker safety and well-being, particularly in demanding work environments such as maintenance tasks involving complex engineering systems (CES). The ergonomics field is evolving with new technological tools, offering innovative approaches to enhance current assessment protocols. This study proposes a conceptual framework integrating advanced technological tools, specifically, Three-Dimensional Computer-Aided Design (3D-CAD) and Virtual Reality (VR), with conventional mixed methods approaches to optimize ergonomic solutions for railway maintenance workers. The proposed framework combines quantitative data, such as anthropometric measurements and workstation evaluations, with qualitative insights from worker feedback, ensuring a holistic approach to ergonomic assessment. By incorporating VR technology, the framework creates an immersive environment where workers can interact with full-scale models of their workstations, providing detailed feedback essential for both proactive and corrective ergonomic interventions. The study demonstrates that this integrated approach effectively addresses ergonomic challenges by merging the objectivity of quantitative analysis with the contextual depth of qualitative insights. The findings suggest that the proposed framework enhances worker performance and safety and supports continuous improvement in ergonomic practices. The study concludes that this framework is valuable for comprehensive research into ergonomic challenges in railway maintenance and offers a versatile methodology for improving worker well-being in similar high-risk industries
Proposed Application of OEE and FMEA Methods and Dynamic Simulation in Laser Machine Maintenance
No full textThis study aims to provide suggestions for improving the laser machine maintenance system at PT. Nosa Jaya Karya through the application of Overall Equipment Effectiveness (OEE), Failure Mode and Effects Analysis (FMEA), and dynamic simulation methods. The primary issue is sudden damage to the laser machine, which results in high downtime and decreased production quality. The OEE analysis in 2024 shows an average value of 85.01%, meeting World Class Manufacturing standards, but the performance efficiency (88.02%) and quality rate (98.87%) components are still below the ideal standard. Through FMEA, five main failure modes were identified, such as long setup times and problematic cooling systems. Dynamic simulations show that preventive maintenance can consistently improve production performance and quality over the next five years. As a recommendation, the use of daily check sheets to support regular machine inspections is proposed to reduce the risk of failure and improve operational efficiency on an ongoing basis
Implementasi Metode YOLOv8 Mendeteksi Komputer Aktif dengan Subjek Layar Monitor
No full textComputers are one example of technological advances used in education. The use of computers that are not turned off can cause damage to computer components, and the use of electrical energy can increase. Student disobedience in turning off school laboratory computers when finished using them causes teachers to conduct manual checks by visiting each computer laboratory in the school. Deep learning is a machine learning algorithm that uses artificial neural networks. Deep learning is usually used for image recognition, voice identification, and data pattern analysis. Therefore, this study will apply the Deep Learning method, specifically YOLOv8, which aims to detect active computers based on the subject of the monitor screen and is expected to provide information about computers that are still active in the school laboratory. Based on the study\u27s results, which detected 10 active computers, the 200-epoch model was selected with 100% accuracy at a speed of 2ms. Twenty active computers were selected, with 200 epoch models achieving 95% accuracy at a speed of 6ms per epoch. Thirty active computers were selected, with 100 epoch models achieving 96.67% accuracy at a speed of 3ms
Klasifikasi Hewan Anjing, Kucing, dan Harimau Menggunakan Metode Convolutional Neural Network (CNN)
No full textAnimal classification is a complex challenge due to variations in shape, color, and patterns across species. Traditional methods, which rely on manual feature extraction, are often ineffective in handling such complexities. Therefore, this study employs Convolutional Neural Networks (CNNs) as a more accurate approach for automatic feature extraction and image classification. This research aims to develop an animal image classification model, specifically for dogs, cats, and tigers, utilizing CNNs. The dataset consists of 4,800 images obtained from Kaggle, which were divided into training, testing, and validation sets. The CNN model was built using TensorFlow/Keras, trained for 50 epochs, and evaluated using accuracy, precision, recall, F1-score, and a confusion matrix. The experimental results show that the model achieved an overall accuracy of 88%, with the highest performance in tiger classification (99% accuracy). However, distinguishing between dogs and cats remains a challenge, with an accuracy of 81% for both classes. The findings indicate that CNNs are effective in automatically classifying animal images, although challenges persist in differentiating visually similar species. This study lays the groundwork for further enhancements, such as refining the model architecture or utilizing data augmentation techniques to boost classification accuracy
Analisis Forensik Mobile pada Aplikasi E-Commerce Menggunakan Metode Association of Chief Police Officers: Mobile Forensic Analysis Of E-Commerece Applications Using The Association Of Chief Police Officers Method
No full textMedia sosial merupakan platform daring yang memungkinkan komunikasi tanpa batas waktu dan lokasi, memfasilitasi interaksi antar pengguna. Walaupun fungsionalitasnya luas, media sosial sering disalahgunakan untuk berbagai tindakan kejahatan siber. Salah satu aplikasi yang banyak disalahgunakan untuk kegiatan ilegal adalah aplikasi e-commerce yang menyediakan berbagai transaksi jual beli. Aplikasi e-commerce menyimpan data pribadi di perangkat digital yang bisa digunakan sebagai bukti digital dalam kegiatan kriminal. Penelitian ini bertujuan mendapatkan bukti digital dari skenario kasus penipuan aplikasi e-commerce dengan menerapkan teknik forensik pada perangkat mobile serta menggunakan kerangka kerja Association of Chief Police Officers (ACPO). Bukti digital meliputi gambar, video, dan pesan teks. Keakuratan tools yang digunakan dengan mengintegrasikan metode ACPO dalam mengekstraksi bukti digital juga menjadi fokus dalam penelitian. Penelitian ini menggunakan Oxygen Forensic Detective dan MOBILedit Forensic Express sebagai tools. Bukti digital yang berhasil dipulihkan dari perangkat bukti berupa gambar dan video. Hasil penelitian menunjukkan bahwa Oxygen Forensic Detective berhasil memperoleh bukti digital sebesar 37%, sementara MOBILedit Forensic Express memperoleh bukti sebesar 26%. Hasil ini mengindikasikan bahwa metode forensik digital efektif dalam mengungkap bukti kejahatan di aplikasi e-commerce, dengan Oxygen Forensic Detective lebih unggul dibandingkan MOBILedit Forensic Express. Pemilihan alat forensik yang tepat berperan penting dalam investigasi digital.Kajian ini diharapkan dapat mendorong penerapan integrasi metode ACPO dan penggunaan tools forensik dalam mengungkapkan bukti digital kejahatan melalui e-commerce.
Kata kunci: media sosial, forensik digital, kejahatan siber, ACPO, aplikasi e-commerce
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Abstract
Social media is an online platform that enables communication without time and location constraints, facilitating interaction between users. However, these platforms are often misused for various cybercrimes. One type of application frequently exploited for illegal activities is e-commerce applications, which provide various buying and selling transactions. E-commerce applications store personal data on digital devices that can be used as digital evidence in criminal activities. This study aims to obtain digital evidence from a fraud case scenario involving an e-commerce application by applying forensic techniques on mobile devices and using the Association of Chief Police Officers (ACPO) framework. The digital evidence includes images, videos, and text messages. Another objective of this research is to assess the accuracy of the forensic tools used when integrating the ACPO method to extract digital evidence. This study utilizes Oxygen Forensic Detective and MOBILedit Forensic Express as the forensic tools. The digital evidence successfully retrieved from the device consists of images and videos. The results show that Oxygen Forensic Detective managed to extract 37% of digital evidence, while MOBILedit Forensic Express recovered 26%. In conclusion, digital forensic techniques are effective in uncovering evidence of crimes within e-commerce applications, with Oxygen Forensic Detective outperforming MOBILedit Forensic Express. Selecting the appropriate forensic tool plays a crucial role in digital investigations. This research is expected to encourage the integration of the ACPO method and the use of forensic tools in revealing digital evidence of crimes conducted through e-commerce.
Keywords: social media, digital forensics, cybercrime, ACPO, e-commerce application
System Modelling to Optimize the Number of Production of Men\u27s Bags and Women\u27s Bags to Obtain Maximum Profit in ABC Karawang Convection using Linear Programming
No full textThis study aims to optimize the production quantity of men\u27s and women\u27s bags to achieve maximum profit at ABC Karawang Convection. The company faces challenges in determining the ideal production quantity due to limited resources, resulting in unfulfilled market demand and suboptimal profit. The research method applied is Linear Programming using the Simplex approach, implemented through the CPLEX Solver software. The results indicate that the optimal solution is achieved by producing 1 unit of men’s bag and 82 units of women’s bags, yielding a maximum profit of IDR 3,740,000. This model provides an efficient production strategy and can serve as a decision-making foundation for production planning