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Dendi Ramdhani, Dzaky Farras Fauzan, Rama Hadi Nugraha, Dyandra Cissy · 5 authors
No abstract is available for this record.
Randy Abdul Rahman
No abstract is available for this record.
Salsabila Yonesa, Muhammad Subhan
Current technological developments have digital money or cryptocurrency which is currently being used as an investment by the world community. here are views about cryptocurrencies, there is a profitable opportunity by involving cryptocurrencies into the economy and monetary system. The aim of this research is to form a cryptocurrency price dynamics model, analyze the stability of the equilibrium point and interpret the results of the model simulation. This type of research is basic or theoretical research. The method used is a descriptive method. This dynamic model takes the form of a system of differential equations consisting of five equations. In the analysis of the dynamic model, it was found that one equilibrium point was unstable because it did not meet the requirements. Based on the analysis of the simulation results that have been carried out, it shows that cryptocurrency prices deviate from fundamental values with the encouragement of liquidity prices resulting in cryptocurrency prices deviating from the equilibrium point
Suwarno Suwarno, Elvin Valentino
Teknologi blockchain telah menjadi fokus utama dalam pengembangan aplikasi web terdesentralisasi, membuka era baru dalam evolusi internet yang dikenal sebagai Web3. Di tengah perkembangan ini, perusahaan startup PT. Pintar Media Teknologi memperkenalkan aplikasi launchpad cryptocurrency yang mengandalkan teknologi blockchain untuk memberikan solusi terdesentralisasi dalam perdagangan aset crypto. Penulis mendapatkan kesempatan untuk melakukan penelitian pada PT. Pintar Media Teknologi untuk membangun aplikasi launchpad cryptocurrency. Metodologi pengembangan aplikasi blockchain yang diterapkan adalah metodologi Agile Scrum. Melalui analisis fitur-fitur yang dikembangkan, seperti perancangan Entity Relationship Diagram, desain basis data, hingga implementasi fitur-fitur utama seperti autentikasi menggunakan Web3, manajemen token, dan manajemen launchpad. Hasil penelitian ini memberikan wawasan tentang praktik pengembangan aplikasi blockchain dan kontribusi penulis pada penelitian ini adalah merancang dan mengimplementasi sistem informasi launchpad cryptocurrency sesuai dengan kebutuhan para stakeholders sehingga dapat mempercepat proses pengembangan produk.
Phillnov Yohanes Pinontoan, Irwan Sembiring
ABSTRAK Penelitian ini berfokus pada masalah keamanan jaringan yang menjadi krusial bagi perusahaan teknologi blockchain dan Non-Fungible Token (NFT) yang rentan terhadap serangan siber seperti DDoS, injeksi SQL, dan malware. Serangan ini tidak hanya menyebabkan kerugian finansial tetapi juga merusak reputasi dan kepercayaan pengguna. Suricata, sebagai sistem deteksi dan pencegahan intrusi open-source, menawarkan berbagai fitur untuk memonitor dan menganalisis lalu lintas jaringan secara real-time. Penelitian ini mengevaluasi efektivitas Suricata dalam mendeteksi ancaman pada web server NFT melalui pendekatan eksperimental. Pengujian dilakukan dengan metode scanning port, web penetration testing, DDoS, dan identifikasi kerentanan sistem web server menggunakan alat seperti NMap, Hping3, Nikto, dan Metasploit. Hasil menunjukkan bahwa Suricata mampu mencatat aktivitas mencurigakan dan mencegah anomali dengan integrasi firewall PFsense. Implementasi Suricata memberikan informasi deteksi serangan web scanning, meskipun tidak memiliki aturan shared object seperti perangkat lunak intrusi lainnya. Penelitian ini memberikan rekomendasi bagi pengembang dan operator platform NFT untuk melindungi aset digital mereka dari serangan siber, serta berkontribusi pada peningkatan keamanan jaringan di sektor NFT. ABSTRACT This research focuses on the critical issue of network security for blockchain technology and Non-Fungible Token (NFT) companies, which are vulnerable to cyberattacks such as DDoS, SQL injection, and malware. These attacks not only cause financial losses but also damage reputation and user trust. Suricata, an open-source intrusion detection and prevention system, offers various features to monitor and analyze network traffic in real-time. This study evaluates the effectiveness of Suricata in detecting threats on NFT web servers through an experimental approach. Testing methods include port scanning, web penetration testing, DDoS, and identifying web server vulnerabilities using tools such as NMap, Hping3, Nikto, and Metasploit. The results show that Suricata can log suspicious activities and prevent anomalies when integrated with the PFsense firewall. While Suricata provides information on web scanning attacks, it lacks shared object rules found in other intrusion software. This research offers recommendations for NFT platform developers and operators to protect their digital assets from cyberattacks and contributes to improving network security in the NFT sector. Thus, this study is highly relevant in the digital era, where information and data security are top priorities for business continuity and user privacy protection.
Muhammad Akhif
LPMP West Sumatra is a company in the technical implementation department of the Ministry of Education and is led by leadership and is responsible to the Director General for Improving the Quality of Educators and Education Personnel (PMPTK). The selection process for hiring contract employees has difficulties because the system is still manual where all the processes from the initial stage of registration selection to the final stage of registration selection are all done manually so it takes quite a long time and is troublesome and drains a lot of energy and energy for the company management. . So there is a need for an online selection information system for contract employee recruitment at LPMP West Sumatra such as a decision support system. This Decision Support System (DSS) uses the Simple Multi Attribute Rating Technique (SMART) method. The SMART method is a decision-making method for handling multi-criteria problems based on calculating the criteria weights for each alternative. The aim of this decision support system was to be able to assist the selection process for hiring contract employees at LPMP West Sumatra quickly, precisely and accurately. The results obtained by the alternative with the name of the prospective contract employee were Ririn Novrianti with a score of 0.755. This helps West Sumatra LPMP leaders in determining prospective contract employees who meet the requirements for employment
Adiat Pariddudin, Muhamad Firdaus
Cijujung 04 State Elementary School is one of the basic educational institutions that is always developing with the number of students increasing from time to time. Cijujung 04 Public Elementary School is a state school, this school is located in the Cikupa-Nagrak village of Cijujung village, cibungbulang sub-district, Bogor Regency. Public elementary schools or other private elementary schools also have very important data. One of them is a master book. The student handbook is a data set of students studying at the school. Student Parent Book is one of the most important parts of the management of this institution. The notes in the master book must be complete. Includes, student biodata, student grades, and student achievement results from the first semester to graduate school. However, in its implementation so far it has been ineffective and inefficient because it is carried out manually, namely by writing data in a thick ledger or a master book. The teacher also had difficulty finding student data in the parent book and also sought students for prospective recipients of PIP assistance. A system is needed that can be used by teachers to find student data in the parent book and also look for students for potential recipients of PIP assistance. Nested queries or queries are queries that have other queries in them. By using the nested query method in the parent book system, the search process for prospective PIP recipient students can be searched as needed because in the parent book system has a student search feature based on the desired category. Based on the nested query method. From the results of the distribution of questionnaires to test the system distributed to informatics engineering system respondents obtained a percentage of system eligibility of 87% so that it can be categorized as very feasible, while the results of distributing questionnaires to user respondents obtained a percentage of system feasibility of 94.5% so that it can be categorized as very feasible