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To securely access servers remotely, an important protocol in the modern era is Secure Shell (SSH). However, brute force attacks, which are automated attempts to guess repeated username and password combinations, are often the main target of this service. The purpose of this research is to evaluate the vulnerability of SSH services to brute force attacks and evaluate how effective Fail2Ban is as a mitigation tool. This method uses simulated experiments with two virtual machines; Kali Linux is used as the attacker with the Hydra tool and Ubuntu Server is used as the target. The results show that SSH is highly vulnerable to brute force attacks if not protected. Hundreds of login failures from the same IP without restrictions show this. After using Fail2Ban, the system can automatically find and block the attacker IP after three unsuccessful logins. With easy configuration and fast threat detection, Fail2Ban has been proven to improve the security of SSH services. This study suggests using Fail2Ban to improve the defense of SSH services against cyberattacks, especially brute force attacks.

Program strategis nasional (PSN) in Indonesia public welfare through social, economic,environmental, and governance dimensions. Findings indicate that limiting truck operations during peak hours generally contributes to reduced traffic congestion, improved road safety, and lower levels of pollution and noise in residential areas. However, the effectiveness is constrained by weak enforcement, frequent rule violations by operators, and limited crosssector coordination. To enhance the policy's positive impact, this study recommends strengthening law enforcement, utilizing monitoring technologies, and developing a more integrated and participatory logistics system. When consistently and collaboratively implemented, the policy has significant potential to support the success of NSPs and improve community welfare.

Bisnis adalah kegiatan ekonomi yang dilakukan untuk menghasilkan, membeli, atau menjual barang atau jasa dengan tujuan mendapatkan keuntungan. Bisnis dapat dilakukan oleh individu, kelompok, perusahaan besar, atau usaha kecil. Di suatu dunia bisnis, yang dimaksud dengan sistem informasi manajemen adalah piranti yang dipakai untuk mengatasi suatu proses, operasional, evaluasi, serta teknologi dan informasi. Usaha  bisnis  yang  bergerak  dalam  bidang  makanan  ringan  snack dijalankan  dengan  modal usaha  berskala  kecil  ialah  pelaku  bisnis  berskala  rumah  tangga  yang  mempunyai  kesempatan sangat  bagus  untuk  berkembang  dengan  pesat  dengan  keterbatasan  yang dimiliki  seperti  SDM, skill,  pengetahuan,  ketrampilan,  dan  pengelolaan  bidang  managementyang  seadanya Penelitian ini dilakukan di Teha Coffee Corner, sebuah kedai kopi yang berlokasi di Jl. Imam Bonjol, Tebing Kisaran, Kec. Kota Kisaran Barat, Kabupaten Asahan, Sumatera Utara 21211. Kedai ini didirikan pada Maret 2021 oleh Thierry Henry, tepat di tengah masa pandemi COVID-19. Supply Chain Management (SCM) adalah pengintegrasian sumber bisnis yang kompeten dalam penyaluran barang, mencakup perencanaan dan pengelolaan aktivitas pengadaan dan logistik serta informasi terkait mulai dari tempat bahan baku sampai tempat konsumsi, termasuk koordinasi dan kolaborasi dengan jaringan mitra usaha (pemasok, manufaktur, retailer, distributor, pergudangan, transportasi dan konsumen) untuk memenuhi kebutuhan pelanggan. Sebuah model rantai pasokan sederhana terdiri dari empat komponen yaitu supplier, produsen, gudang atau pusat distribusi dan pengguna akhir. Seiring dengan pertumbuhan bisnisnya, Teha Coffee Corner mulai menghadapi berbagai tantangan, terutama dalam pengelolaan stok bahan baku dan pencatatan transaksi. Saat ini, pencatatan masih dilakukan secara manual, baik dalam menghitung jumlah stok maupun dalam mencatat transaksi harian. Setiap akhir operasional atau saat closing, Dengan adopsi sistem E-SCM, aliran informasi dan data pembelian antara Teha Coffee Corner dan pemasok menjadi lebih efisien. Ini menghasilkan kejelasan dan ketepatan dalam transaksi pembelian, yang berkontribusi pada menghindari kesalahan dan mengurangi risiko keterlambatan dalam pengiriman toko.

Quality health services are key to improving patient satisfaction among National Health Insurance (JKN) participants. This study aims to systematically review various studies that have been conducted in Indonesia related to the level of JKN patient satisfaction with health services at Community Health Centers. The method used is a literature study by selecting relevant articles published in 2023-2025. Inclusion criteria include articles that discuss the relationship between service quality and JKN patient satisfaction. A total of 11 articles that meet the criteria have been analyzed. The results of the analysis show that the dimensions of service quality that most often influence the level of patient satisfaction are reliability, responsiveness, empathy, and tangibles. Most studies also use a quantitative approach with statistical tests such as chi-square and logistic regression to analyze the relationship between variables. However, not all dimensions always significantly affect the assurance dimension in several studies showing inconsistent results. The conclusion of this study is the importance of improving the quality of health services at Community Health Centers to improve JKN patient satisfaction. Health centers must develop patient-focused service strategies by training human resources, improving service systems, and conducting continuous quality evaluations.  

This study critically examines the construction and reproduction of authenticity norms and buffer standards in Indonesian TikTok users’ communication practices. Employing Norman Fairclough’s Critical Discourse Analysis (CDA) framework, the research explores how digital expressions—through captions, comments, and hashtags—reflect power relations, algorithmic logic, and social norms that operate subtly yet effectively. An analysis of five popular TikTok contents reveals that so-called “authentic” expression is not spontaneous honesty but rather a curated and performative construct aligned with algorithmic expectations and community aesthetics. The concept of the buffer standard refers to implicit symbolic boundaries that define which expressions are “acceptable” and which risk social or systemic rejection. The study concludes that freedom of expression in digital spaces like TikTok is always a product of negotiation between user agency, algorithmic pressure, cultural norms, and the commodification of identity.  

Advances in technology and computers are utilized in various fields of contemporary applications, especially in cryptography and data security in graph theory applications. By understanding the concepts of graph theory, researchers and developers can design cryptographic algorithms that are stronger, more efficient and resistant to attacks. One of the cryptographic applications that has been implemented is the XNOR algorithm. This algorithm has been applied to encryption and decryption as well as the use of stream ciphers. By using 64 bits, the XNOR algorithm can expand encryption and decryption capabilities and increase the security of encrypted data. In this research, an analysis was carried out regarding information encryption and decryption algorithms with the application and development of the XNOR gate logic circuit method in Boolean algebra and graph theory. This research uses the example of the word MATH, which can be changed into a code or password and vice versa to secure information that you want to keep secret. Apart from that, an analysis of the graph formation of each character in the word MATH was also carried out using Python which produced semi-Euler and Hamilton graphs  

The Indonesian retail industry has experienced significant changes during the 2020-2023 period, starting with the Covid-19 pandemic in early 2020. Although it is gradually showing signs of recovery, the companies have felt a huge impact, such as many stores closing, increasing operational costs, and decreasing consumer spending, which are challenges for retail business actors to maintain their business continuity. This study aims to determine the factors that can be predictors of the financial distress of retail industry companies in Indonesia. The sample in this study was retail industry companies listed on the Indonesia Stock Exchange for the 2019-2023 period and had complete financial reports, resulting in 10 companies. Data analysis uses the logistic regression method. The results of the study show that the debt-to-equity ratio (DER) and return on asset (ROA) have a significant effect, while the current ratio (CR), total asset turnover (TATO), and operational cash flow margin (OCF margin) do not have a significant effect on financial distress. Thus, retail industry companies can utilize debt as a financing strategy to accelerate growth and need to focus on efficient asset utilization so that they can increase revenue and profit margins in order to achieve better financial performance and reduce the risk of financial distress.

Object-Oriented Programming (OOP) is a programming paradigm that emphasizes the use of objects and classes to build modular and maintainable software. One of the fundamental concepts in OOP is polymorphism, which is the ability of objects from different classes to respond to the same method in different ways. This study aims to analyze the effectiveness of the polymorphism concept in directing software design in terms of code structure, development utility, and maintenance efficiency. The research method used is a literature study and program code simulation using a procedural approach compared to an object-oriented approach that applies runtime polymorphism. The results of the analysis show that the use of polymorphism can significantly reduce the number of lines of code, logical structure traffic, and facilitate feature expansion without the need to change existing code. Thus, polymorphism has proven effective in improving readability, reusability, and scalability of software design.

This study aims to determine the effect of work motivation and work discipline on employee performance at PT Tiki Jalur Nugraha Ekakurir (JNE) Kampung Lalang, a logistics and delivery service company. Optimal employee performance is the result of a combination of internal drive (motivation) and compliance with work regulations (discipline). This research uses a quantitative approach with a survey method. Data were collected through questionnaires distributed to respondents who are operational employees at JNE Kampung Lalang. Data were analyzed using multiple linear regression assisted by SPSS software. The results showed that work motivation has a positive and significant effect on employee performance with a coefficient value of 1.000 and a significance of 0.000. Conversely, work discipline has a negative but significant effect on employee performance with a coefficient value of -0.388 and a significance of 0.000. This finding indicates that increasing work motivation can encourage increased employee performance, while negative results from work discipline. This study emphasizes the importance of management in properly understanding the internal factors that influence performance so that the policies implemented do not have a counterproductive impact.  

Mathematics learning in Elementary School is very important to form logical, systematic, and critical thinking skills. Mathematics learning is closely related to numeracy literacy. At the elementary school level, especially grade 1, literacy and numeracy problems are increasingly visible when students are faced with mathematical story problems. In grade 1 of SDN 1 Pedawang, the results of daily tests and end-of-semester tests show that students' ability to solve story problems is still low. This study aims to analyze the difficulties of grade 1 students at SDN 1 Pedawang in understanding mathematical story problems due to low literacy and numeracy skills. This study uses a qualitative descriptive research type. The population of grade 1 students at SDN 1 Pedawang is 14 students, consisting of 9 female students and 5 male students. The subjects used were 2 students to be analyzed using purposive sampling techniques because they showed striking difficulties in understanding story problems based on observation results and low test scores. Data collection techniques through observation, interviews, and documentation. Data analysis techniques using the Miles and Huberman model which includes data reduction, data presentation, and drawing conclusions. The results of the study showed that students had difficulty in understanding mathematical story problems on five indicators according to Newman's theory, namely reading, understanding, transformation, process skills, and writing answers. The conclusion of this study shows that low literacy and numeracy of students are the main factors in the difficulty of understanding mathematical story problems.

The policy of mandatory relocation in post-disaster areas, particularly in Cianjur's red zones, plays a crucial role in mitigating risks associated with earthquakes and other natural disasters. This study analyzes the implementation of this policy from the perspective of local government tasks and functions, focusing on the coordination of various stakeholders, legal frameworks, and community involvement. The research uses a qualitative approach, combining legal-normative and sociological perspectives to explore the challenges and conflicts faced during the relocation process. Findings indicate that while the policy has been crucial in safeguarding public safety, its implementation has faced significant challenges such as budget constraints, community resistance, and logistical issues. The study highlights the importance of improving collaboration among local authorities, security agencies, and affected communities. The findings also suggest the need for a more transparent and inclusive approach to policy implementation, ensuring the protection of displaced populations' rights.

Dengue Fever (DF) continues to be a major public health threat in Indonesia, especially in urban areas with high population density, such as Purwokerto City. This study aims to develop a predictive model to identify high-risk areas for DF outbreaks by integrating Machine Learning (ML) algorithms and Geographic Information Systems (GIS). The research utilizes historical dengue case data, meteorological parameters (rainfall, temperature, humidity), and population density as predictive variables. Three ML classification algorithms—Naïve Bayes, Logistic Regression, and Support Vector Machine (SVM)—were implemented to develop risk prediction models. Extensive data preprocessing, feature selection, and spatial integration were applied to ensure model robustness. The results show that the SVM model outperformed other methods, achieving the highest accuracy, precision, recall, and F1-score in classifying dengue risk zones. Risk maps generated through GIS visualization successfully identify priority areas for targeted interventions. The novelty of this research lies in the combination of local epidemiological data, multi-algorithm comparison, and geospatial mapping to improve early warning systems for DF in Purwokerto. This integrated approach is expected to support more effective prevention strategies and enhance public health preparedness.

The insurance penetration rate in Indonesia remains relatively low, despite the important roles of both conventional and sharia insurance in mitigating unexpected financial risks. As a Muslim-majority country, consumer preferences for insurance models aligned with personal values represent a crucial concern, yet are still rarely explored using actual behavioral data. This study aims to examine the influence of Google search trends on consumer preferences in choosing between sharia and conventional insurance in Indonesia. The research applies binary logistic regression using a combination of primary data (questionnaire) and secondary data (Google Trends). Respondents were purposively selected based on stable economic status and prior experience in searching for insurance information. The results reveal that search trends significantly influence preferences for sharia insurance, but not for conventional insurance. Furthermore, religiosity and its interaction with search trends also significantly affect preferences for both insurance models. These findings contribute to big data-based consumer research and offer strategic implications for academics, industry stakeholders, and regulators in enhancing insurance literacy and participation in Indonesia..  

This study aims to analyze the role of cash flow and financial ratios in predicting financial distress in manufacturing companies listed on the Indonesia Stock Exchange for the period 2021–2023. The independent variables include cash flow, profitability, liquidity, leverage, and activity ratios, while financial distress serves as the dependent variable. This research employs logistic regression analysis with purposive sampling, resulting in a sample of 100 companies with a total of 300 observations. The findings reveal that liquidity and activity ratios have a significant negative effect on financial distress, while solvency has a significant positive impact. However, cash flow and profitability do not significantly influence financial distress. These findings highlight the importance of liquidity management and asset efficiency in reducing financial distress risk, while also indicating that high debt burdens increase the likelihood of financial distress. The study’s implications provide valuable insights for management and investors in making strategic financial decisions

Background: Stunting is a chronic nutritional disorderl in toddlers that is permanent and irreparable (irreversible) if it occurs during the First 1000 Days of Life (HPK). One significant risk factor is birth spacing that is too close, which affects the mother's nutritional status and the quality of fetal nutrient intake. Objective: This study aimed to analyze the relationship between birth spacing and the incidence of stunting among toddlers on Morotai Island. Methods: An analytical study with a cross-sectional design was conducted on 30 respondents selected through accidental sampling in the Community Health Center (Puskesmas) area of Morotai. Data were collected through questionnaires, MCH (Maternal and Child Health) books, and anthropometric measurements, then analyzed using Simple Logistic Regression test. Results: The majority of respondents had a birth spacing of 3-4 years (40%), but the prevalence of stunting remained quite high at 43.3%. The statistical test results showed a p-value = 0.005 (p < 0.05), proving a significant relationship between birth spacing and the incidence of stunting. Conclusion: There is a significant relationship between pregnancy/birth spacing and the incidence of stunting among toddlers on Morotai Island.

Penelitian ini membahas konsep pembentukan Batalyon Komposit Korps Marinir di Pulau Natuna Utara dalam rangka mendukung validasi organisasi Korps Marinir. Penelitian ini dilatarbelakangi oleh meningkatnya dinamika geopolitik di kawasan Laut Natuna Utara yang rawan pelanggaran batas wilayah oleh kapal asing, sehingga menuntut kehadiran satuan tempur yang lebih permanen dan siap siaga. Permasalahan utama yang diangkat adalah belum optimalnya peran Kompi Komposit Korps Marinir yang masih berstatus sebagai satuan tugas yang kerap melakukan rotasi terhadap satuannya, disertai kendala infrastruktur, logistik, dan jumlah personel. Untuk itu, penelitian ini menggunakan metode deskriptif kualitatif dengan pendekatan research and development model Borg and Gall, melalui studi pustaka, wawancara ahli, observasi, dan kuesioner. Analisis dilakukan terhadap struktur organisasi, kesiapan alutsista, serta efisiensi sistem operasi dalam mendukung validasi organisasi Korps Marinir. Hasil penelitian menunjukkan bahwa pembentukan Batalyon Komposit yang bersifat permanen sangat dibutuhkan untuk menjawab kebutuhan pertahanan strategis, mempercepat reaksi terhadap ancaman, serta mengefektifkan tugas pengamanan wilayah perbatasan. Penelitian ini bermanfaat secara teoritis untuk memperkuat doktrin pertahanan laut berbasis pulau-pulau terluar, dan secara praktis sebagai masukan bagi pimpinan TNI AL dalam merumuskan kebijakan validasi organisasi yang berkelanjutan dan berdaya guna tinggi.

The development of science and technology has caused the military forces of many countries to spend a lot of money and energy on research and development of automated, multi-faceted and effective (including lethal) technology. From a maritime perspective, this development has attracted widespread interest from many navies in underwater technology such as submarines and unmanned submarines. Modern submarines are now capable of moving at high speeds with very low noise levels, in addition to being able to carry weapons with very high destructive power and carry out diving operations for long periods of time. At the same time, modern unmanned underwater vehicles are now capable of carrying out various types of operations, including surveillance, minelaying, underwater surveys, and even the ability to carry long-range weapons up to thousands of kilometers away. It is undeniable that the development of other countries' navies is a real threat to Indonesia. To overcome this problem, an underwater surveillance system is needed in Indonesian waters, especially in deep waters which are likely to be used by other countries such as ALKI to carry out covert operations. This underwater surveillance system must utilize existing technological developments in order to carry out its functions effectively and sustainably, especially by using autonomous underwater vehicles (USVs). The use of USV in surveillance systems will save a lot of costs because it does not waste budget on expensive logistics, personnel, maintenance, and spare parts. This research is a research and development using mixed research methods (qualitative and quantitative) with research products in conceptual form. In this underwater surveillance system concept, USV will automatically conduct underwater contact surveillance along the ALKI II water body using sensors and software integrated into the USV.

Blepharitis or inflammation of the eyelids is one of the common eye diseases, characterized by inflammation of the edges of the eyelids that can cause discomfort, irritation, and even visual disturbances. This disease can be chronic with recurrent symptoms such as red eyes, itching, watering, and the appearance of crust on the eyelashes. Proper and prompt diagnosis is necessary so that medical treatment can be carried out effectively and further complications can be prevented. This study aims to design and build an expert system based on the Fuzzy Logic method in helping diagnose blepharitis. The fuzzy method was chosen because it is able to handle the uncertainty of symptom data that often arises in the medical diagnosis process. This system is developed through the identification of the common symptoms of blepharitis, then processed using the fuzzy membership function to determine the type of disease based on the degree of symptom onset. The output of the system is in the form of the results of the diagnosis of blepharitis along with initial treatment recommendations that can be used as a reference for users. The results of the system test show that the application of fuzzy logic is able to provide diagnosis results that are quite accurate, fast, and easy to understand both medical personnel and the general public. This system is expected to help increase public awareness about the importance of early detection of blepharitis, as well as being a tool in the initial medical decision-making process. However, the limitations of this study lie in the limited amount of data and coverage of the type of blepharitis, so further development is needed, both in expanding the knowledge base, increasing the variety of symptoms, and improving system interaction with users.

This article examines the role of the Formed Police Unit (FPU) in the perspective of international humanitarian law and international human rights law, particularly in the context of civilian protection in conflict areas. The FPU is an armed police unit deployed in UN peacekeeping missions with a mandate to protect civilians, maintain order, and support post-conflict recovery. Despite its strategic role, the FPU faces legal, operational and socio-cultural challenges. This study uses a normative-juridical approach by analyzing international legal documents, UN operational standards, and academic literature. It is emphasized that the effectiveness of the FPU is highly dependent on human rights-based training, clarity of mandate, logistical readiness, and the ability to build trust with local communities. This article recommends strengthening accountability mechanisms and cross-sector integration in peace missions, so that the FPU is able to carry out its protection mandate substantially and in accordance with applicable international legal principles.

The era of technological disruption, driven by the economic logic of "surveillance capitalism," has created a fragmenting digital architecture. The "filter bubble" or "echo chambers" mechanism algorithmically isolates individuals, exacerbated by a psychological condition of being "alone together" wherein individuals actively engage in a "flight from conversation." This convergence of algorithmic and psychological isolation has fueled an "age of outrage" and extreme social polarization. This crisis is fundamentally theological, as it reduces the dignity of the Imago Dei (image of God) to mere exploitable computational data. This research employs a qualitative library study method with a critical-analytical approach to analyze this phenomenon and propose a reconstruction of Christian leadership theology. This article argues that Christian leaders must develop a new theological competency termed "Digital Wisdom." This wisdom is rooted in a holistic theology that resists dualistic fragmentation. This reconstruction is embodied in the leader's role as spiritual (placing the Word of God as authority over algorithms), educational (building digital ethics and combating disinformation), integrity-based (rejecting partisan outrage), and humanistic (reaffirming the primacy of physical encounter and authentic relationship).