Open Journal System Universitas Mohammad Husni Thamrin
Open Journal System Universitas Mohammad Husni ThamrinNot a member yet
1589 research outputs found
Sort by
Design and Implementation of Network and Server Monitoring Using Zabbix at The Financial and Development Supervisory Agency
No full textIn today's digital era, network and server reliability are key factors in the smooth operation of an organization/institution. The Financial and Development Supervisory Agency (BPKP), as an institution that carries out government duties in the field of financial and development supervision, requires an efficient monitoring system to ensure the continuity of services and security of IT infrastructure to maintain the sustainability of the audit system, consultation, assistance, and evaluation of the results of supervision that will be reported to the President as Head of Government. The Financial and Development Supervisory Agency (BPKP) requires a good network and server monitoring system to maintain the availability and performance of IT services. The problem faced is the lack of real-time visibility into the condition of the IT infrastructure, which can hinder early detection of system disruptions or anomalies. This research aims to design and implement a network and server monitoring system using Zabbix as an open-source solution that is able to monitor performance, availability, and provide automatic notifications when failures occur. The methods used include literature review, needs analysis, system architecture design, Zabbix Server and Agent implementation, and system testing in the BPKP environment. The implementation results show that Zabbix is capable of providing comprehensive data visualization, real-time monitoring, and an effective alert system. In conclusion, the implementation of Zabbix has successfully increased efficiency in IT infrastructure management at BPKP and can be used as a basis for developing broader monitoring for all BPKP representatives
Serverless Computing: A Comparative Analysis of Cloud Run and Cloud Function Prices on Google Kubernetes Engine Cluster Node Management Google Cloud
No full textThe advancement of cloud computing technology has revolutionized the way companies build and deploy applications, offering unprecedented flexibility, scalability, and efficiency. One of the most significant innovations in this space is serverless computing, which allows developers to build and run applications without managing the underlying server infrastructure. This model fundamentally changes the application development paradigm, shifting from static resource allocation to an event-driven model where resources are consumed only when needed (Sharma et al., 2021). The increasing adoption of serverless architectures has driven the need for detailed cost optimization strategies, particularly for automated infrastructure management tasks. This study examines the operational cost efficiency between Google Cloud Run and Google Cloud Functions. The study addresses the common need for programmatically managing cluster nodes within Google Kubernetes Engine. Solutions are developed and implemented using both serverless services to perform representative cluster management operations. A comprehensive analysis of pricing models, including resource consumption and invocation costs, is performed. Significant differences in operational costs are observed for this specific infrastructure automation scenario. The findings of this study provide clear guidance for architects and developers looking to minimize cloud spending through selecting the right platform
Android-Based Stock Opname Application Development with SQLite and Firebase
No full textStocktaking, or stock data matching, is a crucial activity in inventory management within a company. Through this process, the stock data recorded in the system is compared with the physical conditions in the field (Jims, 2023). This activity not only aims to ensure data accuracy (Tarigan, 2021) but also serves as an integral part of internal control within the company's supply chain. PT Multilindo Surya Cemerlang is a company engaged in the distribution and sales of electronic goods. Stocktaking is a crucial component in maintaining the accuracy of a company's inventory data. However, at PT Multilindo Surya Cemerlang, this process is still performed manually by recording on paper and then re-entering it into a computer. This method is quite time-consuming and carries the risk of recording errors. Therefore, this study aims to develop an Android-based application that can assist the stocktaking process directly in the field. The application is designed with SQLite database support for local storage and Firebase for online data storage and synchronization. The development was conducted using the SDLC (System Development Life Cycle) model with a waterfall approach, encompassing the stages of requirements analysis, system design, implementation, testing, and maintenance. Trial results demonstrated that the application was able to assist staff in recording stock more quickly and accurately, as well as simplifying the overall inventory data recapitulation process
Analysis of Public Sentiment Towards the Use of AI in Monitoring Waste via the SEMAR Monitoring Web and Its Impact on Flood Management in Semarang City
No full textWaste management and flood mitigation are key challenges in Semarang City. The Semarang City Government, through the Department of Communication and Informatics (Diskominfo), implemented the AI-based Pantau Semar web system to automatically detect waste accumulation and water puddles via a CCTV network. This study examines public sentiment toward the system, particularly from social media comments, and develops a sentiment classification model using IndoBERT. A quantitative approach with Natural Language Processing (NLP)-based sentiment analysis was applied. A total of 430 public comments from social media were classified into positive, negative, and neutral sentiments, and analyzed using a fine-tuned IndoBERT model. Results show that negative sentiment dominates (54%), followed by positive (30%) and neutral (16%). The model achieved 81% accuracy, with the highest F1-score in the negative class (0.89). These findings indicate that the public remains critical of the system’s performance, especially regarding waste accumulation and flooding, while also highlighting AI’s potential in environmental management and public opinion detection. The results provide a basis for developing more adaptive monitoring systems and improving government communication strategies to better address community needs
BGP Implementation Using Cisco Packet Tracer on the PT Artha Media Network Lintas Nusa Jakarta
No full textWith the rapid development of information technology, the need for fast, stable, and secure internet connections continues to grow. In managing large internet networks, routing is a crucial aspect in determining the path for data. Border Gateway Protocol (BGP) is one of the most widely used routing protocols in large networks. BGP connects various Autonomous Systems (AS) and enables the exchange of routing information between internet service providers. This research implements the Border Gateway Protocol (BGP) using Cisco Packet Tracer to simulate a network scenario faced by PT Artha Media Lintas Nusa Jakarta. As an Internet Service Provider (ISP), PT Artha Media Lintas Nusa encounters challenges in efficiently managing network routes, especially for connectivity with various other service providers. This study uses a methodology that includes network needs analysis, topology design, BGP configuration, and performance testing of the protocol to dynamically distribute routes. The results show that the implementation of BGP in Cisco Packet Tracer successfully optimizes network route management, ensures stable connectivity, and reduces data transfer latency. The simulation also provides technical guidance that can be applied to the company's physical network to enhance efficiency and scalability. Thus, this research is expected to be a valuable reference for PT Artha Media Lintas Nusa and other parties looking to implement BGP as a routing solution for large-scale networks
Pengaruh Green Marketing dan Kepercayaan terhadap Keputusan Pembelian Pelanggan: (Studi Kasus Pada The Bodyshop Jakarta)
No full textDalam era globalisasi ini, manajemen pemasaran selalu mencoba untuk mengenali peluang dan ancaman baru yang terjadi di dalam lingkungan pemasaran dan sekaligus memahami pentingnya memantau dan beradaptasi dengan lingkungan. Hal ini juga sesuai dengan meningkatnya perhatian pada isu lingkungan oleh pembuat peraturan publik dapat dilihat sebagai indikasi lain bahwa kepedulian lingkungan merupakan area yang potensial sebagai strategi bisnis. Tujuan dari penelitian ini adalah untuk menganalisis pengaruh Green Marketing dan Trust terhadap Keputusan Pembelian pelanggan perusahaan kosmetik Body Shop di Jakarta. Metode Penelitian yang digunakan dalam penelitian ini adalah penelitian kuantitatif dengan pendekatan deskriptif. Data Primer yang di peroleh dengan menyebar kuesioner. Populasi dalam penelitian ini adalah pelanggan perusahaan kosmetik Body Shop di Jakarta. Sampel yang digunakan berjumlah 120 responden dengan menggunakan teknik sampling purposive sampling.. Teknik Analisis menggunakan pengujian Hipotesis multivariat dengan menggunakan Uji regresi logistik. Regresi logistik digunakan dalam penelitian ini karena kombinasi variabel bebas antara metrik dan nominal (non metrik). Hasil penelitian ini menunjukkan bahwa variabel Green Price, green Promotion dan Green Trust berpengaruh positif dan significant terhadap Keputusan Pembelian .Sedangkan Green Product dan Green Place tidak berpengaruh terhadap Keputusan Pembelian. Implikasi utamanya adalah The Body Shop harus meningkatkan strategi promosi dengan banyak membuka outlet dan meningkatkan kualitas produk untuk menyeimbangkan harga premium dan menjadikan wanita sebagai target pasar utama
Analyzing the Influence of Cultural Factors, Social Factors, Personal Factors and Psychological Factors on Purchasing Decisions on Shopee: (Case Study on Gen Z Management Students)
No full textThe development of the digital market in Indonesia has made significant progress in recent years, especially in four main areas, namely financial technology (fintech), subscription services, e-commerce, and the Internet of Things (IoT). This study examines the influence of cultural, social, personal, and psychological factors on the purchasing decisions of Generation Z students on the Shopee e-commerce platform. Using a quantitative research approach, primary data was collected by distributing questionnaires to students of the management study program. The results of the t-test and F-test analysis showed that the four factors had a significant influence on purchasing decisions, both partially and simultaneously. Among the four factors, social influence emerged as the most dominant factor, with the highest t-value of 7.08 and a significance level of 0.000. These findings suggest that marketing strategies aimed at Gen Z consumers should prioritize social engagement, especially through influencers, online reviews, and social media platforms, and integrate cultural adaptation, personal relevance, and emotional approaches. The validity of the model is supported by the F value of 76.879 which exceeds the critical limit, and the Adjusted R Square value of 0.619, which indicates that 61.9% of the variation in purchasing decisions can be explained by the proposed variables. This finding emphasizes the importance of a comprehensive and multidimensional marketing approach that is in line with the values, lifestyles, and emotional factors of Gen Z consumers in the digital realm
The Influence of ROA, DER, and TATO on the Stock Prices of Investment Services Trading Companies on the IDX
No full textIn the modern era, business development is increasing, and many companies are going public. Every company certainly strives to maintain and develop its business in order to compete and gain profits. One way to do this is by registering company shares on the capital market and then selling shares to investors. This study aims to determine the effect of Return on Assets (ROA), Debt to Equity Ratio (DER), and Total Assets Turnover (TATO) on stock prices in companies in the trading, services, and investment sectors listed on the Indonesia Stock Exchange in 2018-2021. The research method used is quantitative, with purposive sampling. From the results of the study, the ROA variable partially does not affect stock prices. The results of the partial test (t) of the ROA variable (X1) show a significance value of 0.972> 0.05 and a calculated t value of 0.035 < ttable 1.67252. The DER variable partially affects stock prices. The partial test result (t) of the DER variable (X2) shows a significance value of 0.000 <0.05 and a calculated t value of -5.520> t table -1.67252. The TATO variable partially influences stock prices. The calculated result of the TATO variable (X3) shows a significance value of 0.012 <0.05 and a calculated t value of 2.612> t table 1.67252. The ROA, DER, and TATO variables simultaneously influence stock prices. The results of the Simultaneous Test (F) show a significance value of 0.000 <0.05 and a calculated f value of 15.843> 2.78 f table.
Analysis of Stock Investment Decisions in the Coal Mining Industry Sector in the LQ45 Index Using the Price Earning Ratio (PER) Method for the 2021-2023 Period
No full textEconomic growth will always involve all aspects of life in Indonesia. Based on information from the Central Statistics Agency (2023), Indonesia recorded an economic growth of 5.31% in 2022. This figure is quite high compared to the 2021 achievement of only 3.70%. This study aims to analyze stock investment decisions in the coal mining industry sector in the LQ45 Index using the Price Earning Ratio (PER) method for the 2021-2023 period. The research methodology used is a quantitative descriptive method using secondary data obtained from the Indonesia Stock Exchange website to view the annual financial reports of mining companies. The objects of this study are the coal mining industry companies in the LQ45 Index for the 2021-2023 period, namely ADRO, ITMG, and PTBA shares. The analysis technique used is the Price Earning Ratio (PER) method. The results of this study from the 3 (three) sample companies used indicate that ADRO, ITMG, and PTBA shares are overvalued. ADRO shares have an intrinsic value of Rp. 2,380 and a market price of Rp. 2,430, ITMG shares with an intrinsic value of Rp. 25,650 and a market price of Rp. 26,700, and PTBA shares with an intrinsic value of Rp. 2,440 and a market price of Rp. 2,750 so that the investment decision that can be made for ADRO, ITMG, and PTBA shares is to sell the shares
Uji Daya Hambat Ekstrak Bawang Dayak (Eleutherine palmifolia (L.) Merr.) Terhadap Pertumbuhan Bakteri Salmonella typhi
No full textDayak onion (Eleutherine palmifolia (L.) Merr) contains many active compounds that have the potential as antibacterial, including against Salmonella typhi bacteria. This study aimed to determine the effectiveness of dayak onion powder (Eleutherine palmifolia (L.) Merr) and to determine the minimum inhibitory concentration of dayak onion extract (Eleutherine palmifolia (L.) Merr) in inhibiting the growth of Salmonella typhi bacteria. Antibacterial testing was carried out using disc diffusion, by looking at the clear area (inhibition zone) around the disc.. The design of this study was descriptive research and the results of the analysis were carried out using the Kruskal Wallis statistical test. The results showed that the extract of dayak onion (Eleutherine palmifolia (L.) Merr) at concentrations of 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90% and 100% had the ability to inhibit growth of Salmonella typhi bacteria. The average area of inhibition of dayak onion extract (Eleutherine palmifolia (L.) Merr) was 7 mm, respectively; 7.3 mm; 7.6mm; 8mm; 8.3 mm; 8.6 mm; 9mm; 9.3 mm; 9.6 mm; 10.3mm. The greatest concentration of inhibition was 100% concentration with a diameter of 10.3 mm. In the blank disc negative control there was no inhibition of the growth of Salmonella typhi bacteria and in the positive control amoxicillin 500 mg there was an inhibition of 24 mm. Dayak onion extract (Eleutherine palmifolia (L.) Merr) can inhibit the growth of Salmonella typhi bacteria in the resistant category (weak) with the minimum inhibitory concentration of dayak onion extract (Eleutherine palmifolia (L.) Merr) against the growth of Salmonella typhi bacteria is 10% with an inhibition zone diameter of 7 mm.
Keywords: Dayak onion (Eleutherine palmifolia (L.) Merr), Salmonella typhi, Inhibitory tes