Sistem Deteksi Intrusi Hybrid dan Mitigasi Kerentanan Infrastruktur Jaringan Menggunakan Teknik Active Response (XDR) Wazuh dan Suricata

The complexity of cyber threats against the network infrastructure of companies, educational institutions, and government makes protecting network infrastructure a top priority. Router and server devices are highly vulnerable to various types of cyber threats, requiring comprehensive detection and response solutions. This research will implement an intrusion detection system by integrating SIEM technology and Wazuh XDR (Extended Detection and Response). This system analyzes index pattern data from Wazuh agent devices to detect and respond to attacks using the XDR active response firewall. The testing was conducted MikroTik RouterOS, Ubuntu Server 20.04 as Wazuh agent to test reconnaissance attacks, brute force and DoS attacks. The results of the research show Nmap and brute force attacks were successfully detected by Wazuh manager and blocked the attacker IP malicious through active response. Detection of brute force attacks showed an increase in traffic of up to 60 Kbps and CPU usage reached 100%, then decreased after the active response firewall was activated. Authentication failure reached 2198 times in the first hour of the brute force attack. CPU usage increased from 20% to 85% during the attack and decreased to 15% after the active response firewall was activated. DoS attacks, on MikroTik experienced an increase in CPU usage of up to 61% and memory of 67%. After activating the active response firewall, CPU usage decreased to 3%. Traffic on the MikroTik interface increased to 3.3 Mbps during the attack, then decreased to 1 Kbps after the firewall was activated  Kompleksitas ancaman siber pada infrastruktur jaringan perusahaan, institusi pendidikan, dan pemerintah menjadikan perlindungan infrastruktur jaringan sebagai prioritas utama. Berbagai perangkat router dan server sangat rentan terhadap berbagai jenis ancaman siber, sehingga memerlukan solusi deteksi dan respons yang komprehensif. Penelitian ini akan mengimplementasikan sistem deteksi intrusi dengan mengintegrasikan teknologi SIEM dan (Extended Detection and Response) XDR Wazuh. Sistem ini menganalisis data index pattern dari perangkat Wazuh agent untuk mendeteksi dan merespons serangan menggunakan firewall active response XDR. Pengujian dilakukan pada perangkat MikroTik Router, ubuntu server untuk menguji serangan reconnaissance attack, brute force dan DoS. Hasil penelitian menunjukkan serangan Nmap dan brute force berhasil dideteksi oleh Wazuh manager dan memblokir IP penyerang melalui active response. Pendeteksian serangan brute force menunjukkan peningkatan traffic hingga 60 Kbps dan penggunaan CPU mencapai 100%, kemudian terjadi penurunan setelah firewall active response diaktifkan. Authentication failure mencapai 2198 kali dalam satu jam pertama serangan brute force. Penggunaan CPU meningkat dari 20% hingga 85% selama serangan dan menurun menjadi 15% setelah firewall active response diaktifkan. Serangan DoS, pada MikroTik mengalami peningkatan penggunaan CPU hingga 89% dan memori 56.32%. Setelah aktivasi firewall active response, penggunaan CPU menurun menjadi 3%. Traffic pada interface MikroTik meningkat hingga 3.3 Mbps selama serangan, kemudian menurun menjadi 1 Kbps setelah firewall diaktifka

Tradisi dan Kepercayaan: Eksplorasi Komunikasi Ritual dalam Merajut Kerukunan Komunitas Bugis Towani Tolotang Sulawesi Selatan, Indonesia

This research aims to explore the ritual communication experience in knitting the harmony of the Bugis Towani Tolotang community in Amparita Sidenreng Rappang, South Sulawesi, Indonesia. The Bugis Towani Tolotang community has various local traditions and beliefs regarding social care, kinship, diversity, togetherness and equality as solidarity identity which is realized in building harmonious relationships. Data was obtained qualitatively through several informal conversational interviews through ritual communication (Tallotte, 2018) based on ritual theory (Turner 1962, 1969), and phenomenology (Schutz, 1972). The article focuses on the experience of the Bugis Towani Tolotang community, which is a group of communities that believe in worshiping God Dewata Seuwae. Bugis Towani Tolotang constructs ritual communication as a local tradition with its symbols and is considered to have meaning, including the meaning of offerings, requests and hopes. This meaning results from the communication process of subjective interpretation of the rituals mutual cooperation rituals, marriage, sipulung, mappenre inanre, and tudang sipulung. The article contributes to realize harmonious community relations through the discussion of finding the meaning of Bugis Towani Tolotang rituals in the hope of living together peacefully in kinship ties. Strengthening solidarity is essential as it forms bonds of kinship and togetherness. This contribution offers opportunities for traditional accommodation and ways of forming kinship bonds.Penelitian ini bertujuan untuk mengeksplorasi pengalaman komunikasi ritual dalam merajut kerukunan komunitas Bugis Towani Tolotang di Amparita Sidenreng Rappang, Sulawesi Selatan, Indonesia. Komunitas Bugis Towani Tolotang memiliki berbagai tradisi lokal dan kepercayaan mengenai kepedulian sosial, kekeluargaan, keberagaman, kebersamaan, dan kesetaraan sebagai identitas solidaritas yang diwujudkan dalam merajut kerukunan dengan hubungan harmonis. Data diperoleh secara kualitatif melalui beberapa wawancara percakapan informal melalui proses komunikasi ritual (Tallotte, 2018) berdasarkan teori ritual (Turner 1962, 1969), dan fenomenologi (Schutz, 1972). Artikel terfokus pada pengalaman komunitas Bugis Towani Tolotang yang merupakan sekelompok komunitas dengan kepercayaan menyembah Tuhan Dewata Seuwae. Bugis Towani Tolotang mengkonstruksi komunikasi ritual sebagai tradisi lokal secara simbol tersendiri dan dianggap mempunyai makna, di antaranya makna persembahan, permohonan, dan harapan. Makna tersebut dihasilkan dari proses komunikasi interpretasi subjektif ritual gotong-royong, perkawinan, sipulung, mappenre inanre, dan tudang sipulung. Artikel ini berkontribusi untuk mewujudkan hubungan harmonis komunitas melalui pembahasan pencarian makna ritual Bugis Towani Tolotang dengan harapan dapat hidup bersama secara damai dalam ikatan kekerabatan. Penguatan solidaritas sangat penting karena membentuk ikatan kekeluargaan dan kebersamaan. Kontribusi ini menawarkan peluang akomodasi tradisional dan cara membentuk ikatan kekerabatan

PENGARUH IKLIM KOMUNIKASI ORGANISASI DAN WORK MEANINGFULNESS TERHADAP KOMITMEN ORGANISASI TENAGA KEPENDIDIKAN UNY DI MASA PANDEMI COVID-19

This research aims to analyze the influence of organizational communication climate and work meaningfulness on organizational commitment among educational staff at Universitas Negeri Yogyakarta. The hypotheses proposed in this study are that organizational communication climate and work meaningfulness have a partial and simultaneous effect on organizational commitment. The method used in this research is quantitative explanation, involving 366 members of the civil servant population. The data analysis method used in this study is regression analysis. The findings of this research indicate that organizational communication climate and work meaningfulness have a partial and simultaneous influence on organizational commitment. This research contributes to the study of organizational commitment among civil servants, which is influenced by organizational communication climate and work meaningfulness.Penelitian ini bertujuan untuk menganalisis pengaruh iklim komunikasi organisasi dan kebermaknaan kerja terhadap komitmen organisasi pada tenaga kependidikan di Universitas Negeri Yogyakarta. Hipotesis yang diajukan dalam penelitian ini adalah iklim komunikasi organisasi dan kebermaknaan kerja berpengaruh terhadap komitmen organisasi baik secara parsial maupun secara simultan..Metode 1yang 1digunakan 1dalam penelitian1 1ini 1adalah kuantitatif  eksplanasi, dengan1 melibatkan 366 anggota populasi tendik yang berstatus sebagai PNS.  Metode analisis data yang digunakan dalam penelitian ini adalah analisis regresi. Penelitian ini menghasilkan temuan bahwa iklim komunikasi organisasi dan kebermaknaan kerja berpengaruh secara parsial dan simultan terhadap komitmen organisasi. Penelitian ini memberikan kontribusi terhadap kajian mengenai komitmen organisasi PNS yang dipengaruhi oleh iklim komunikasi dan kebermaknaan kerj

Sebuah Jalur Hidup Digital: Penerimaan Pengguna Terhadap Aplikasi Deteksi Penyakit Jantung Koroner

Cardiovascular disease, especially coronary heart disease (CHD), is the leading cause of death globally, with Indonesia, particularly North Sulawesi, experiencing significant prevalence due to unhealthy lifestyles. This study aims to assess the adoption and utilization of an early detection application for CHD among residents of the Spiritual Region of the Sacred Heart of Mary Cathedral Parish in Manado. It also seeks to identify opportunities for enhancing user experiences with the application using the Technology Acceptance Model (TAM). TAM includes constructs like perceived usefulness (PU), perceived ease of use (PEU), attitude towards use (ATU), behavioral intention to use (BIU), actual system use (ASU), and three external variables: information quality (PUIQ), service quality (PEUSVQ), and system quality (PEUSQ). This study uses the Partial Least Square (PLS) approach for data analysis. The results confirmed that all measures effectively assess their intended constructs. Strong correlations among the constructs demonstrate solid internal consistency. Regarding reliability, all constructs demonstrate acceptable consistencyCardiovascular disease, especially coronary heart disease (CHD), is the leading cause of death globally, with Indonesia, particularly North Sulawesi, experiencing significant prevalence due to unhealthy lifestyles. This study aims to assess the adoption and utilization of an early detection application for CHD among residents of the Spiritual Region of the Sacred Heart of Mary Cathedral Parish in Manado. It also seeks to identify opportunities for enhancing user experiences with the application using the Technology Acceptance Model (TAM). TAM includes constructs like perceived usefulness (PU), perceived ease of use (PEU), attitude towards use (ATU), behavioral intention to use (BIU), actual system use (ASU), and three external variables: information quality (PUIQ), service quality (PEUSVQ), and system quality (PEUSQ). This study uses the Partial Least Square (PLS) approach for data analysis. The results confirmed that all measures effectively assess their intended constructs. Strong correlations among the constructs demonstrate solid internal consistency. Regarding reliability, all constructs demonstrate acceptable . Regarding theoretical and practical implications, the study enhances the TAM model, providing a deeper understanding of factors influencing health technology adoption. Its findings can refine future research, improve the CHD early detection application, inform public health initiatives, and shape supportive health policies, ultimately benefiting individuals at risk of coronary heart disease  

Kurangnya Keterampilan Komunikasi Generasi Z Memasuki Pasar Kerja

The COVID-19 pandemic phenomenon has had a significant impact on the Z generation\u27s readiness to enter the workforce. This generation has minimum communication skills in the workplace, such as, became an example of a lack of soft skills in the workplace. This research aims to investigate the lack of communication and ability phenomenon in the Z generation when entering the labor market. This investigation uses a qualitative approach that involves in-depth interviews. This research has involved 18 college graduates as research subjects. The result of this study has found that the majority of alumni suffered from communication barriers, which means they felt less capable of communicating. They feel inferior and have a low self-image due to a lack of capacity and competence as well as a lack of experience, therefore, it became such a big task to prepare themselves when entering the workforce, that hesitate to start a conversation for fear of making mistake, wrongs, and being impressed with dumbness. The obstacle lies in their self-limitation to change the situations and environments from being limited to technology and remote interaction to having to start over in situations and social environments. Other aspects that determine self-confidence and self-image have a major impact on the aspect of communication skillsFenomena pandemi COVID-19 memberikan dampak signifikan terhadap kesiapan generasi Z memasuki dunia kerja. Minimnya keterampilan komunikasi di tempat kerja yang dimiliki generasi Z merupakan salah satu contoh kurangnya soft skill di tempat kerja. Tujuan dari penelitian ini adalah untuk menyelidiki fenomena ketidakmampuan dan kurangnya keterampilan komunikasi generasi Z untuk mempersiapkan diri memasuki pasar kerja. Investigasi ini menggunakan pendekatan kualitatif yang melibatkan wawancara mendalam. Penelitian ini telah melibatkan 18 orang lulusan perguruan tinggi sebagai subjek penelitian. Hasil analisis menemukan mayoritas para alumni mengalami hambatan dalam berkomunikasi yaitu merasa kurang mampu dalam keterampilan komunikasi. Mereka merasa minder dan memiliki citra diri yang rendah karena kurangnya kapasitas dan kompetensi serta kurangnya pengalaman, maka menjadi tugas yang besar bagi mereka untuk mempersiapkan diri memasuki dunia kerja. Hal itu ditandai dengan perilaku mereka yaitu sering ragu untuk memulai percakapan karena takut melakukan kesalahan, salah, dan terkesan cuek. Kendala yang dihadapi adalah keterbatasan pada diri sendiri yang harus mulai mengubah situasi dan lingkungan dari terbatas pada teknologi dan interaksi jarak jauh menjadi harus memulai lagi dalam situasi dan lingkungan sosial. Aspek lain yang menentukan kepercayaan diri dan citra diri mempunyai dampak besar terhadap aspek keterampilan komunikasi

Optimasi Klasifikasi Sentimen pada Komentar Online menggunakan Multinomial Naïve Bayes dan Ekstraksi Fitur TF-IDF serta N-grams

The Naïve Bayes (NB) algorithm is a classifier method that calculates simple probabilities and it is suitable for text classification in the context of sentiment analysis. The classic variant of NB is Multinomial Naïve Bayes (MNB). The weakness of the MNB algorithm is the assumption of feature independence. This research uses a dataset of comments and reviews from various online platforms. This study uses the proposed method to handle the weakness of the MNB algorithm, namely the use of TF-IDF feature extraction and N-grams (1-gram to 5-gram), and the use of Chi-Square feature selection, as well as handling dataset imbalance using SMOTE (oversampling and undersampling method). The results of this study show that the use of pentagram (5-gram) with data that has been oversampled by SMOTE produces the highest accuracy value of 94% and an Area Under Curve (AUC) value of 100%Algoritma Naïve Bayes (NB) merupakan metode pengklasifikasi yang menghitung probabilitas sederhana dan cocok digunakan untuk klasifikasi teks salah satunya dalam konteks analisis sentimen. Varian klasik NB adalah Multinomial Naïve Bayes (MNB). Kelemahan algoritma MNB adalah asumsi independensi terhadap fitur. Penelitian ini menggunakan dataset komentar dan ulasan dari berbagai platform online. Penelitian ini menggunakan metode yang diusulkan dalam menangani kelemahan dari algoritma MNB yaitu penggunaan ekstraksi fitur TF-IDF dan N-grams (1-gram sampai 5-gram), dan penggunaan seleksi fitur Chi-Square, serta menangani ketidakseimbangan dataset menggunakan SMOTE (metode oversampling dan undersampling). Hasil penelitian ini menunjukkan bahwa penggunaan pentagram (5-gram) dengan data yang telah dilakukan oversampling SMOTE menghasilkan nilai akurasi tertinggi sebesar 94% dan nilai Area Under Curve (AUC) sebesar 100%

Transformative online learning post-pandemic: challenges, opportunities, and future trends

The Covid-19 pandemic forced a swift and unprecedented transition to online learning in the education sector. This research aims to comprehensively analyze the impact of the pandemic on the educational landscape and investigate how online learning has transformed. This research is grounded in a mixed-methods approach. Quantitative data, including educational institution surveys and student feedback, were collected to gauge the effectiveness of online learning implementation. Qualitative methods such as interviews with educators were employed to gain deeper insights into the experiences and perceptions surrounding the adoption of online learning. The main result of this study indicates that the pandemic has acted as a catalyst for the transformation of education, pushing institutions to embrace online learning technologies and pedagogies on an unprecedented scale. Issues of digital accessibility, pedagogical adaptation, and technological infrastructure also created numerous opportunities to enhance flexibility, inclusivity, and learner-centered approaches. The research concluded that online learning will likely remain integral to education beyond the pandemic. Future trends suggest the convergence of augmented reality, artificial intelligence, and personalized learning, promising to revolutionize the educational landscape further. Academically, this article contributes to the education field by providing valuable insights into the transformative potential of online learning in a post-pandemic context

Optimalisasi Klasifikasi Support Vector Machine dengan SMOTE: Studi Kasus Ulasan Pengguna Aplikasi Alfagift

Support Vector Machine (SVM) is a supervised learning algorithm that works by classifying based on classes that refer to patterns resulting from the training process. SVM has several commonly and popularly used kernels, one of which is the linear kernel. The weakness of SVM is in the "parameter selection" and its performance tends to be poor in the case of unbalanced datasets. The purpose of this study is to overcome the weaknesses of the SVM algorithm with the proposed method. This research uses a linear kernel with feature extraction that is Word2Vec with Skip-gram model, and in handling the data imbalance problem using SMOTE (oversampling) technique. The results showed that the unbalanced dataset produced an accuracy of 90% and the balanced dataset (SMOTE) produced an accuracy of 92%, so the SMOTE oversampling technique was proven to increase the accuracy results by 2%.Support Vector Machine (SVM) adalah algoritma supervised learning yang bekerja dengan mengklasifikasi berdasarkan kelas yang mengacu pada pola hasil dari proses pelatihan. SVM memiliki beberapa kernel yang umum dan populer digunakan salah satunya adalah kernel linear. Kelemahan SVM adalah dalam “pemilihan parameter” dan performanya cenderung buruk pada kasus dataset yang tidak seimbang. Tujuan penelitian ini adalah untuk mengatasi kelemahan dari algoritma SVM dengan metode yang diusulkanPenelitian ini menggunakan kernel linear dengan ekstraksi fiturnya yaitu Word2Vec dengan model Skip-gram, dan dalam menangani masalah ketidakseimbangan data menggunakan teknik SMOTE (oversampling). Hasil penelitian menunjukkan bahwa dataset yang tidak seimbang menghasilkan akurasi sebesar 90% dan dataset yang seimbang (SMOTE) menghasilkan akurasi sebesar 92%, sehingga teknik oversampling SMOTE terbukti meningkatkan hasil akurasinya sebesar 2%.  

Tindak Tutur Ilokusi Penjual Pakaian Dalam Wanita Saat Live Di Tiktok Shop

An illocutionary speech act is an utterance uttered by the speaker with a specific purpose. This research aims to identify the illocutionary speech acts of women\u27s underwear sellers when live on TikTok Shop and to recapitulate what illocutionary speech acts are uttered by women\u27s underwear sellers when live on TikTok Shop and their functions. The method used in this research is qualitative. The research data is the sentences that women\u27s underwear sellers spoken during live on TikTok Shop. The data source comes from live video recordings of women\u27s underwear sellers on TikTok Shop. The research data was analyzed using J.R. Searle’s speech act theory. The research results show that assertive, directive, commissive, expressive, and declarative speech acts were found in the speech of women\u27s underwear sellers while live on TikTok Shop. Of all the speech acts, the most frequently used is assertive speech acts, followed by directive and commissive speech acts.Tindak tutur ilokusi merupakan suatu tuturan yang diucapkan oleh penuturnya dengan suatu tujuan tertentu. Penelitian ini bertujuan untuk mengidentifikasi tindak tutur ilokusi penjual pakaian dalam wanita saat live di TikTok Shop serta merekapitulasi tindak tutur ilokusi apa yang paling banyak dituturkan penjual pakaian dalam wanita saat live di TikTok Shop beserta fungsinya. Metode yang digunakan dalam penelitian ini adalah metode kualitatif. Data penelitian berupa kalimat yang diucapkan oleh penjual pakaian dalam wanita saat Live di TikTok Shop. Sumber data berasal dari rekaman video live penjual pakaian dalam wanita di TikTok Shop. Data penelitian dianalisis menggunakan teori tindak tutur dari J.R. Searle. Hasil penelitian menunjukkan bahwa ditemukan tindak tutur asertif, direktif, komisif, ekspresif, dan deklaratif pada tuturan penjual pakaian dalam wanita saat live di TikTok Shop. Dari semua tindak tutur yang digunakan tersebut, yang paling banyak digunakan adalah tindak tutur asertif, disusul dengan tindak tutur direktif, dan tindak tutur komisif

Implementasi Algoritma Boyer-Moore Majority Vote pada Sistem Manajemen Inventory Berbasis Internet of Things

Gold jewelry stores have to deal with various problems involving inventory control and inventory analytics in their day-to-day operations. Many Indonesian gold retailers tackle these problems by using a paperbased recording method. This method is not time efficient and adds more workload into the inventory management processes, such as stocktaking and popular item category classification. Stocktaking gets more difficult as more items are added to the inventory. These added workload and time increase the risk for items to go missing without being immediately documented. This paper proposes an Internet of Things solution that makes inventory stocktake more streamlined by introducing an RFID system with a web application that allows an operator to identify items during a stocktake instantly. In addition, store managers can also find trends in item categories using the Boyer-Moore majority vote algorithm. Our evaluation show that this system can effectively record data items in one scan with an average accuracy of 93.16% for a tray of 5 up to 25 items.Toko perhiasan emas menghadapi berbagai masalah yang melibatkan pengendalian inventaris dan analitik inventaris dalam operasi sehari-hari mereka. Banyak pengecer emas Indonesia mengatasi masalah ini dengan menggunakan metode pencatatan pada kertas. Metode ini tidak efisien dan menambah beban kerja ke dalam proses manajemen inventaris, seperti inventarisasi dan klasifikasi kategori barang populer. Inventarisasi menjadi lebih sulit karena lebih banyak item ditambahkan ke inventaris. Penambahan beban kerja dan waktu ini meningkatkan risiko barang hilang tanpa segera didokumentasikan. Makalah ini mengusulkan solusi Internet of Things yang membuat inventaris lebih efisien dengan memperkenalkan sistem RFID dengan aplikasi web yang memungkinkan operator untuk mengidentifikasi item selama inventarisasi secara langsung. Selain itu, manajer toko juga dapat menemukan tren kategori barang menggunakan algoritma Boyer-Moore Majority Vote. Evaluasi menunjukkan bahwa sistem ini dapat secara efektif merekam item data dalam sekali scan dengan akurasi rata-rata 93,16% untuk baki yang terdiri dari 5 hingga 25 item