UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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Analisis Keamanan Jaringan Wi-Fi Pada SMKN 1 Kota Jantho Menggunakan Metode Vulnerability Assessment
No full textKeamanan jaringan nirkabel merupakan aspek penting yang harus dijaga, terutama pada lingkungan pendidikan yang memanfaatkan Wi-Fi sebagai sarana pendukung proses pembelajaran. Penelitian ini bertujuan untuk melakukan penilaian kerentanan pada jaringan Wi-Fi SMKN 1 Kota Jantho dengan menggunakan dua aplikasi utama, yaitu Kismet dan Airodump-ng . Kismet adalah aplikasi sumber terbuka yang mampu mendeteksi, menyatukan, dan menganalisis jaringan Wi-Fi secara pasif, menampilkan informasi seperti SSID, BSSID , jenis enkripsi, kekuatan sinyal, serta perangkat klien yang terhubung. Sementara itu, Airodump-ng merupakan bagian dari paket Aircrack-ng yang berfungsi menyatukan lalu lintas jaringan secara real-time dan menangkap data, termasuk handshake WPA/WPA2 , untuk analisis keamanan lebih lanjut. Metodologi penelitian meliputi tahap instalasi aplikasi pada sistem operasi Kali Linux , konfigurasi antarmuka nirkabel pada mode monitor ( wlan0 ), serta proses pemindaian jaringan untuk mengidentifikasi potensi kerentanan. Data yang diperoleh dari kedua aplikasi kemudian dianalisis dan diklasifikasikan berdasarkan standar CVSS ( Common Vulnerability Scoring System ) guna menentukan tingkat keparahan risiko. Selain pemindaian, dilakukan simulasi serangan ringan berupa serangan deauthentication untuk menguji respons jaringan terhadap upaya pemutusan koneksi klien. Hasil penelitian menunjukkan bahwa Kismet memberikan informasi yang lebih terstruktur dan mudah dianalisis dibandingkan Airodump-ng , sehingga lebih disukai oleh sebagian besar responden, termasuk guru. Namun, Airodump-ng tetap unggul dalam pemantauan cepat dan penangkapan jabat tangan untuk pengujian keamanan kata sandi. Berdasarkan temuan ini, penggunaan kedua aplikasi secara kombinasi direkomendasikan untuk memperoleh gambaran keamanan jaringan yang lebih komprehensif dan mendukung strategi mitigasi yang efektif.
Kata kunci: keamanan jaringan, Wi-Fi, vulnerability assessment, Kismet, Airodump-ng, CVSS
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Wi-Fi Network Security Analysis At SMKN 1 Kota Jantho Using The Vulnerability Assessment Method
Wi-Fi network security in educational environments plays a crucial role in maintaining data confidentiality and integrity. This study aims to analyze the security level of the Wi-Fi network at SMKN 1 Kota Jantho using a vulnerability assessment approach based on open-source applications, namely Kismet and Airodump-ng. Kismet was employed to detect and passively monitor wireless networks, while Airodump-ng was used to capture WPA/WPA2 handshakes and observe network traffic in real-time. The collected data were evaluated using the Common Vulnerability Scoring System (CVSS) to determine risk levels, and a deauthentication attack simulation was conducted to assess the network’s resilience. The results revealed several vulnerabilities with an average CVSS score in the High category (7.58), including the use of weak encryption (WEP), insecure management services (Telnet), and the potential for rogue access points. Compared to previous studies, this research provides a practical contribution by offering a simpler, cost-effective, and applicable approach to improving Wi-Fi security in schools without requiring specialized hardware or licensed software. These findings highlight that the combination of Kismet and Airodump-ng can serve as an effective solution for mapping vulnerabilities and supporting security mitigation strategies in educational environments.
Keywords: network security, Wi-Fi, vulnerability assessment, Kismet, Airodump-ng, CVS
System Modeling to Optimize the Production Quantity of Men\u27s and Women\u27s Jackets and Achieve Maximum Profit: A Case Study at Konveksi ABC Cikarang Using Linear Programming
No full textThis study aims to develop an optimal production strategy for Konveksi Jaket ABC Cikarang, a garment manufacturer specializing in men\u27s and women\u27s jackets. The company faces significant challenges in resource allocation, particularly in managing limited material supplies and production capacity. To address this, a Linear Programming approach is applied to determine the most profitable production combination. The model incorporates two decision variables representing the quantities of men\u27s and women\u27s jackets and is constrained by real-world resource limitations. The objective function is designed to maximize profit, and the model is solved using IBM ILOG CPLEX software. The results indicate that the optimal production decision is to produce 125 units of women’s jackets and none of the men’s jackets, resulting in a maximum profit of IDR 8,125,000. These findings demonstrate that mathematical optimization can serve as an effective decision-support tool for improving production planning and efficiency in resource-constrained environments
Twitter (X) Sentiment Analysis on Monkeypox: A Systematic Literature Review
No full textMonkeypox has a risk of growing into a global threat. Understanding public sentiments is crucial for effective emergency responses, as it helps counter misinformation, enhance communication, and improve the retention and application of public health information. This systematic review of literature aims to provide foundations for identifying existing algorithms, commonly used data collection methods, and pre-processing techniques applied to Twitter discussions on Mpox. The review followed the PRISMA guidelines. Relevant literature was retrieved from ScienceDirect, IEEE, PubMed, and Springer databases, resulting in 15 studies that met the inclusion criteria. Most preprocessing methods include stop word removal, lemmatisation, and tokenisation; commonly used data collection methods include Twitter API, Academic API V2, Snscrape, Twint, and Tweepy. Classification of sentiment tended to be hybrid models like CNN-LSTM or transformer-based models such as BERT, which also perform well in dealing with complex linguistic patterns. These recent models, additionally, addressed other very important issues like misinformation detection, irony, and bot-generated content, which earlier models would often fail to tackle. Despite these advancements, much work still needs to be done in improving the accuracy, generalizability, and interpretability of sentiment analysis models in live monitoring of public health
LDA Topic Modeling Analysis of Public Discourse on Indonesia’s Free Nutritious Meals Program (MBG)
No full textThis study investigates public discourse on Indonesia\u27s Free Nutritious Meals (Makan Bergizi Gratis/MBG) program through Latent Dirichlet Allocation (LDA) topic modeling of YouTube comments. Filling a research gap on online public opinion regarding the MBG policy, this study identifies dominant themes and discursive patterns in public perception. A three-topic model, validated through coherence score evaluation and pyLDAvis visualization, reveals key topics: concerns over food prices and distribution, perceived benefits for children and society, and emotionally and politically driven reactions. The findings provide valuable insights into public opinion, while also highlighting challenges in processing Indonesian-language text, such as informal language and noisy data. This study contributes to understanding public perceptions of social policies in digital environments and recommends future research directions, including improved text preprocessing and alternative topic modeling approaches. By shedding light on online public discourse, this research informs policymakers and stakeholders about the effectiveness and potential areas for improvement in the MBG program
Kesiapan Aparatur Sipil Negara (ASN) Terhadap Implementasi UU Pelindungan Data Pribadi (UU PDP): The Readiness of Civil Servants (ASN) for the Implementation of the Personal Data Protection Act (PDP Act)
No full textUndang-undang Pelindungan Data Pribadi (UU PDP) telah disahkan oleh DPR pada 17 Oktober 2022 lalu menjadi UU No 27 Tahun 2022 tentang Pelindungan Data Pribadi. Salah satu pasalnya menyebutkan bahwa UU ini akan mulai berlaku 2 tahun setelah diundangkan yaitu 17 Oktober 2024. Artinya, semenjak UU ini berlaku pada Oktober 2024 nanti, maka sanksi-sanksi terhadap pelanggaran UU ini juga akan berlaku. Mengingat status tersebut maka sudah selayaknya untuk UIN Sunan Kalijaga memperhatikan dengan baik implementasi UU PDP tersebut. Pada penelitian ini, pengetahuan dan persiapan para ASN di UIN Sunan Kalijaga akan disurvei dan dievaluasi. Dari sisi persiapan, afeksi ASN terhadap implementasi ini akan ditanyakan. Dari total ASN sebanyak 1009 orang, ada 152 responden yang menjawab dengan lengkap. Survei dilakukan pada November dan Desember 2024. Hasil dari survei menunjukkan bahwa secara umum responden dalam hal ini adalah ASN di UIN Sunan Kalijaga sudah cukup memahami tentang keberadaan dan konsekuensi dari UU PDP ini. Akan tetapi, mereka juga banyak yang menyatakan bahwa UIN Sunan Kalijaga sebagai institusi belum siap untuk menghadapi konsekuensinya. Oleh karena itu, perlu dilakukan sosialisasi ulang dan penambahan infrastruktur keamanan informasi agar tidak terkena jerat pidana maupun perdata di kemudian hari. Analisis data juga menunjukkan bahwa tidak ada perbedaan pengetahuan dan afeksi untuk beberapa kelompok responden sehingga kegiatan-kegiatan terkait implementasi UU PDP harus melibatkan semua pihak dan semua level jabatan.
Kata kunci: Personal Data Protection Act, UIN Sunan Kalijaga, Information Security
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Abstract
The Personal Data Protection Act (PDP Act) was enacted by the Indonesian House of Representatives on October 17, 2022, becoming Law No. 27 of 2022 on Personal Data Protection. One of its articles states that the law will take effect two years after its promulgation, specifically on October 17, 2024. This means that starting from October 2024, the sanctions for violations of this law will also come into force. Given this status, it is imperative for UIN Sunan Kalijaga to carefully consider the implementation of the PDP Act. In this study, the knowledge and preparedness of civil servants (ASN) at UIN Sunan Kalijaga were surveyed and evaluated. Regarding preparedness, the affective response of the civil servants toward the implementation of this law was assessed. Out of a total of 1,009 civil servants, 152 respondents provided complete responses. The survey was conducted in November and December 2024. The results of the survey indicate that, in general, the respondents, who in this case are civil servants at UIN Sunan Kalijaga, have a reasonable understanding of the existence and implications of the PDP Act. However, many also expressed that UIN Sunan Kalijaga as an institution is not yet prepared to face its consequences. Therefore, further dissemination and the enhancement of information security infrastructure are necessary to avoid criminal or civil liabilities in the future. Data analysis also shows that there is no significant difference in knowledge or affective response across various groups of respondents. Hence, activities related to the implementation of the PDP Act must involve all parties and all levels of positions within the institution.
Keywords: Personal Data Protection Act, UIN Sunan Kalijaga, Information Securit
Analisis Dan Implementasi Algoritma Bcrypt Dengan Affine Cipher Untuk Pengamanan Password Pada Aplikasi Web: Analysis And Implementation Of Bcrypt Algorithm With Affine Cipher For Password Security In Web Applications
No full textTeknologi informasi saat ini semakin berkembang dengan berkembangnya teknologi tersebut membuat segala kalangan dapat mengakses aplikasi web, hal tersebut menjadikan keamanan pada aplikasi web harus di perhatikan. Salah satu teknik yang dapat digunakan sebagai pengamanan pada aplikasi web yaitu menerapkan algoritma kriptografi pada password. Penelitian ini bertujuan untuk menganalisis dan mengimplementasi algoritma kriptografi bcrypt dengan affine cipher yang akan di modifikasi dengan menggunakan algoritma ROT13 untuk pengamanan password pada aplikasi web. Penelitian dilakukan dengan menggunakan metode pengembangan sistem yaitu Secure Sistem Development Life Cycle (SSDLC) yang meliputi Reqirements analysis, Desain, Development, dan Testing menggunakan bruteforce dan sniffing. Hasil penelitian ini menunjukkan bahwa analisis dan implementasi algoritma bcrypt dengan affine cipher untuk pengamanan password pada aplikasi web sesuai rancangan. Uji coba menunjukkan bahwa dengan menerapkan algoritma bcrypt dan affine cipher yang telah dimodifikasi menggunakan algoritma ROT13 akan memperlambat dari serangan bruteforce. Sedangkan implementasi pada pengiriman kredensial dari frontend menuju backend menunjukkan kredensial tidak dapat dilakukan serangan sniffing menggunakan wireshark. Kesimpulan dari penelitian ini bahwa menerapkan algoritma kriptografi bcrypt dan affine cipher yang telah dimodifikasi menggunakan algoritma ROT13 akan menambahkan lapisan keamanan pada sistem yang dapat menghambat serangan bruteforce dan menghentikan serangan sniffing. Penelitian ini juga menyarankan penggunaan kriptografi bcrypt dan affine cipher yang telah dimodifikasi menggunakan algoritma ROT13 sebagai lapisan pengamanan pada sistem.
Kata kunci: Affine cipher, Bcrypt, Kriptografi, Password, Pengamanan, ROT13.
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Information technology is currently growing with the development of this technology making all circles able to access web applications, this makes security in web applications must be considered. One technique that can be used as security in web applications is applying cryptographic algorithms to passwords. This research aims to analyze and implement the bcrypt cryptographic algorithm with affine cipher which will be modified using the ROT13 algorithm for password security in web applications. The research was conducted using the system development method, namely Secure System Development Life Cycle (SSDLC) which includes Reqirements analysis, Design, Development, and Testing using brute-force and sniffing. The results of this research show that the analysis and implementation of the bcrypt algorithm with affine cipher for password security in web applications are as designed. The test shows that by applying bcrypt and affine cipher algorithms that have been modified using the ROT13 algorithm will slow down brute-force attacks. While the implementation on sending credentials from the front-end to the back-end shows that credentials cannot be sniffed using wireshark. The conclusion of this research is that applying bcrypt and affine cipher cryptographic algorithms that have been modified using the ROT13 algorithm will add a layer of security to the system that can inhibit brute-force attacks and stop sniffing attacks. This research also suggests the use of bcrypt and affine cipher cryptography that has been modified using the ROT13 algorithm as a security layer on the system.
Keywords: Affine cipher, Bcrypt, Cryptography, Password, Security, ROT13
Integrasi Garis dan Sudut dalam Matematika dengan Nilai – Nilai Islam
No full textIntegrating or connecting mathematics with Islamic values can add to the treasures of knowledge and increase the level of our faith in Allah SWT. Apart from that, it is hoped that the integration of mathematics with Islamic values will form good Muslim personal character. Mathematics is a branch of science that has several characteristics, namely hierarchical or orderly, autonomous and consistent. This is of course closely related to the condition of Islamic values, one example of which is the prayer service which has one of the pillars, namely the pillars of meaning or order. A Muslim who performs prayer is certainly obliged to understand the pillars of prayer, including being orderly, if he intentionally leaves them, the prayer will be invalid. Related to orderliness, namely that it is carried out sequentially and consistently. This research aims to integrate Islamic values with lines and angles in mathematics. This research uses a literature study method with activity steps, namely reading and recording relevant and authentic sources, managing research materials, critically reviewing knowledge, ideas or findings in the literature and formulating specific theoretical and methodological contributions. The research results show that when a Muslim wants to stand perfectly in prayer, he forms an upright position in a straight line or forms a 180 angle0. Other movements in prayer, if observed, will form certain angles which, if added together, will form a full circle with a size of 3600. The results of the next study are that someone who is studying in class or at science councils will be shown to obtain angle measurements based on the level of knowledge they have. The context of degrees in mathematics means the measurement of angles depicted on a flat plane. This is in accordance with the quotation of the verse from the Qur\u27an, "Allah raises the rank of those who believe and have knowledge several degrees" (Mujadalah: 11)
Halal Industry and Science: Analysis of Epistemological Reasoning of Halal Center Institution UNEJ and Halal Assurance Institution UIN KHAS Jember Integration Interconnection Perspective
No full textThe halal industry has experienced significant growth, thus requiring a deeper understanding of the epistemological foundation of halal institutions, especially in Universitas Jember (UNEJ) and Universitas Islam Negeri Kiai Haji Achmad Siddiq (UIN KHAS) Jember. This analysis explores the integration and interconnection of halal science and its institutions, emphasizing the importance of the \textit{tawidik} paradigm in halal research and practice. The halal certification process, influenced by environmental pressures and institutional theory, highlights the need for effective management and adherence to Islamic principles in halal assurance practices. Furthermore, the philosophy of halal science, rooted in the Qur\u27an, underlines the need to align halal practices with Islamic values, ensuring that innovations in the halal sector do not compromise religiously bound principles. By examining the role of these institutions, this study aims to propose a framework for enhancing scientifically sound and spiritually aligned halal assurance, encouraging a holistic approach to halal industry development. There are two key questions in this study. First, what is the concept of halal industry and science in Indonesia? Second, how is the Analysis of Epistemological Reasoning of the Halal Center Institution of UNEJ and the Halal Assurance Institution of UIN Khas Jember from the Integration Interconnection Perspective? Using a qualitative research approach and observation, interview, and documentation methods to discuss the Epistemological Reasoning Analysis of the Halal Center Institution of UNEJ and the Halal Assurance Institution of UIN Khas Jember from the Integration Interconnection Perspective and the content analysis approach to explain the study of the concept of halal industry and science in Indonesia. So the results of this study are to find out the concept of halal industry and science in Indonesia and the second is the Epistemological Reasoning Analysis of the UNEJ Halal Center Institution of UNEJ and the Halal Assurance Institution of UIN Khas Jember from the Integration Interconnection Perspective
Enhancing Diabetes Classification Using a Relaxed Online Maximum Margin Algorithm
No full textDiabetes mellitus is a growing global health concern that requires accurate and reliable classification models for early diagnosis and effective management. Traditional machine learning models often struggle with class imbalance, generalization limitations, and high false-positive rates, leading to misdiagnoses and delayed interventions. This study enhances the Relaxed Online Maximum Margin Algorithm (ROMMA) to improve the accuracy of diabetes classification. Using a publicly available dataset from Kaggle, which contains 768 medical records with nine health attributes, the model’s performance was evaluated through a confusion matrix and classification metrics. The Enhanced ROMMA achieved an accuracy of 92%, significantly improving upon the Standard ROMMA’s 85% accuracy. The recall for diabetes detection increased from 0.83 to 0.94, reducing false negatives and ensuring more accurate patient identification. While slight misclassification still exists, this improvement enhances the model’s reliability for clinical applications. Future research should incorporate larger datasets and advanced techniques to enhance robustness and generalizability. This study contributes to the development of more accurate machine learning models for diabetes prediction, ultimately supporting better healthcare decision-making
The OPTIMIZATION OF PROFITS AND MANAGEMENT OF RAW MATERIAL STOCKS IN LAUNDRY SOAP MSMES USING INTEGER LINEAR PROGAMMING (ILP)
No full textAbstract
Micro, Small, and Medium Enterprises (UMKM) have an important role in the economy, including in the household soap industry. The main problems that are often faced are the management of raw materials and the determination of the amount of production that is not optimal. This study aims to optimize sales profits and the efficiency of the use of raw materials in laundry soap UMKM in Gombong Village, Warungpring District, Pemalang Regency by using the Integer Linear Programming (ILP) method. The data was obtained through direct interviews with UMKM owners and processed using the IBM ILOG CPLEX Optimization Studio. The optimization model is built on two types of products, namely regular soap and soap plus fragrance, taking into account the availability constraints of active ingredients, clean water, liquid fragrances, and plastic bottles. The optimization results showed that the optimal production amount was 47 bottles of regular soap and 53 bottles of soap plus fragrance, with a maximum profit of Rp267,500. This study shows that the ILP method is effective in supporting measurable and efficient production decision-making.