Jurnal Indonesia : Manajemen Informatika dan Komunikasi

Forecasting Harga Saham PT. ABCD Menggunakan Algoritma Fuzzy Time Series

Muchamad Izzul Khaq — 2026-01-10

High stock price fluctuations pose a significant challenge for investors and analysts in determining investment strategies. Price dynamics influenced by economic, political, and psychological market factors require forecasting methods that can accommodate uncertainty and non-linear historical data patterns. This study applies Cheng's Fuzzy Time Series algorithm to predict the stock price of PT. ABCD by going through the stages of universe set formation, interval determination, fuzzification, fuzzy logic relationship formation, and defuzzification to obtain prediction results. The method implementation was carried out using two approaches: manual calculation using Microsoft Excel and automatic calculation using the Orange application. The results show that Cheng's method is able to produce predictions very close to the actual value, with an accuracy level measured using the Mean Absolute Percentage Error (MAPE) indicator of 0.058787% on both platforms. The consistency of the results between Excel and Orange proves the reliability of Cheng's method, so it can be used as a reference in supporting investment decision-making in the Indonesian capital market.

Analisis Kelemahan Fitur Cloud pada Access Point Berbasis Cloud

Kaiva Alby Aufinanta — 2026-01-10

This study aims to identify and analyze vulnerabilities of Cloud features in Access Points through an experimental approach. Cloud features in Access Points include network resource management, storage, data processing, and internet-based device management services used to monitor device traffic, update firmware, and perform centralized configuration. The research began with the design of Access Point configurations, followed by a simulation of a Man-in-the-Middle (MITM) attack using the SSL Strip method. Testing was conducted using a Ruijie Reyee RG-EW1200 Access Point with the support of Bettercap software on the Kali Linux operating system and a Windows virtual machine. The research process involved identifying Cloud features of the device, collecting technical documentation, executing SSL Strip attack simulations, and analyzing discovered vulnerabilities. Experimental results revealed specific vulnerabilities in the Cloud security system of the Access Point, including data leakage of Password, SSID, IP, Serial Number, Network Name, Device Type, Firmware Version, MAC Address, Forward Mode, Access Point Status, and Port Status, which were then analyzed to provide mitigation recommendations. These findings are expected to serve as a reference for enhancing security of Cloud features in network devices, particularly centralized management-based Access Points.

Peran Komunikasi Kesehatan dalam Mencegah Stunting di Kelurahan Laweyan

Muhammad Fauzi Sulaiman Hanafi — 2026-01-10

The purpose of the research is to analyze the contribution of health communication toward public awareness and behavioral change in stunting prevention in Laweyan Sub-District. The focus of the research will be oriented toward the change in knowledge, attitude, and practice on balanced nutrition, accounting consumption of junk food. The study applied a qualitative case study design that included respondents who were health officers, posyandu cadres, community leaders, and households of beneficiaries. Data were collected through in-depth interviews and observations, and documentation. Thematic analysis was used for data analysis. The results showed that health communication strategies in Laweyan used face-to-face counseling, digital media, and innovatively, Secating and Dasyat as the programs that increase the community understanding of balanced nutrition. However, effectiveness was reduced by low awareness of nutrition (about 45% of respondents did not consider themselves to have heard of balanced nutrition), lack of time by community members to attend counseling events, and lack of communication facilities at the sub-district level. Thus, more participatory communication strategies are required that involve local opinion leaders and strengthen community-based communication media for health messages that are easier to accept and apply to their daily lives.

Implementasi Sistem Informasi Pengukuran Kinerja Karyawan di PT Hetra Vexa Group dengan Pendekatan Key Performance Indikator

Akmal Yaqien — 2026-01-10

Employee performance is a crucial factor in determining the success of an organization. PT Hetra Vexa Group, a company engaged in software application sales, previously relied on a manual and subjective performance appraisal system. This condition created several problems, such as lack of objectivity, difficulties in real-time performance monitoring, and delays in strategic decision-making. To address these issues, this study implemented a mobile-based employee performance measurement system using the Key Performance Indicator (KPI) approach combined with the Objective and Key Results (OKR) method. The system was developed using the Waterfall model, which consists of requirement analysis, design, implementation, and testing stages, while system evaluation was conducted through Black Box Testing. The system features employee data management, KPI indicators, automated appraisal, and a monitoring dashboard displaying real-time evaluation results. KPI was applied to determine indicator weights, whereas OKR was used to map organizational strategic objectives into individual targets. The testing results show that the system produces more objective, accurate, and standardized performance appraisals. Employees with a KPI score ≥ 80% are categorized as high achievers and eligible for rewards, while those with a score ≤ 60% are categorized as low performers and subject to punishment. The system implementation has proven to increase appraisal efficiency by 40% compared to the previous manual method and significantly reduce subjectivity in managerial assessments. The average efficiency improvement was recorded at 80.63%, reflected in the reduction of performance evaluation time from eight days to one working day, a decrease of document costs by 80%, a reduction of data errors by 80%, and acceleration of performance report access from twenty working days to five working days. Therefore, this system contributes to enhancing productivity, work motivation, and sustainable achievement of organizational goals.

Implementasi ISO 9126 pada Aplikasi SiGezel dengan Fitur Reservasi untuk Loyalitas Pelanggan Café

Auliya Apriwiguna — 2026-01-10

Café Gezellig in East Jakarta still relies on manual reservation methods through WhatsApp and Instagram, leading to operational inefficiencies, delayed confirmations, and low customer engagement. This study aims to develop a web-based reservation system integrated with a point-based Customer Relationship Management (CRM) feature to enhance customer loyalty. The development method used is Rapid Application Development (RAD), which involves users in every iteration stage, including baristas, cashiers, managers, and regular customers. The system was built using PHP with the Laravel framework and MySQL database, covering modules for table and room reservations, payment management, and loyalty point management. Software quality was evaluated using the ISO 9126 standard through a Likert-scale questionnaire (1–5) across six aspects, completed by five respondents from the café’s internal team (owner, manager, cashier, reservation admin, and waiter). The test results show functionality at 88%, reliability at 87.5%, usability at 86%, efficiency at 88.89%, portability at 88.75%, and maintainability at 93.75%, with an overall average score of 88.81% categorized as good. These findings indicate that the SIGEZEL system is feasible to replace manual processes, simplify reservation confirmations, improve staff operational efficiency, and support customer management through an integrated point program, thereby strengthening customer loyalty and increasing the likelihood of repeat purchases.

Penggunaan Data Mining dalam Mengklasifikasi Nominal Uang Rupiah dengan Metode Convolutional Neural Network (CNN)

Suvirocana Suvirocana — 2026-01-10

This study aims to implement the Convolutional Neural Network (CNN) method to identify the authenticity of Indonesian banknotes through image classification into seven categories (classes). The dataset used consists of banknote images captured under various real-world conditions, including differences in printing quality, degrees of wear or deterioration, lighting variations, and multiple shooting angles to obtain diverse image variations. Through this approach, the system is expected to learn distinctive visual patterns and features of each banknote denomination, including texture, color, and embedded security elements found in genuine currency. After the training process, the model is evaluated to measure its accuracy and frames per second (FPS) as performance indicators for real-time recognition. The results of this research are expected to contribute to the development of effective and efficient image processing technology to assist in the automatic classification and detection of Indonesian banknote authenticity, thereby minimizing human error and enhancing security in financial transactions.

Faktor-Faktor Yang Mempengaruhi Penerimaan Sistem Informasi Menggunakan Model TAM

Cut Asiana Gemawaty — 2026-01-10

This study aims to analyze the factors that influence the acceptance of an information system using the Technology Acceptance Model (TAM). The research examines three key constructs: Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and Behavioral Intention (BI). A quantitative approach was employed with a purposive sampling technique involving 60 active users of the information system. Data were collected using a Likert-scale questionnaire and analyzed using SPSS through validity testing, reliability testing, descriptive statistics, and Spearman correlation analysis. The findings indicate that all measurement instruments demonstrate excellent validity and reliability, with Cronbach’s Alpha values exceeding 0.900 for all variables. The correlation results reveal that both PU and PEOU have positive and significant relationships with BI, suggesting that perceived benefits and ease of use are important determinants that strengthen users’ intention to adopt and continue using the system. However, the relationship between PEOU and PU is not significant, indicating that ease of use does not automatically translate into perceived usefulness within the context of this study. These results reinforce the relevance of the TAM framework while highlighting contextual nuances that may influence variable relationships. Overall, the study concludes that enhancing system usefulness and ensuring ease of use are essential strategies for increasing user acceptance of information systems within organizational settings.

Pengaruh Infrastruktur Teknologi Informasi dan Akses Internet terhadap Kinerja Sistem Pembelajaran Daring Menggunakan Analisis Regresi Panel Data

Sri Mardiyati — 2026-01-10

This study aims to analyze the influence of information technology infrastructure and internet access on the performance of online learning systems in educational institutions in Indonesia. A quantitative approach was applied using panel data from 10 educational institutions during 2019–2023. Panel model selection indicates that the best model is Pooled OLS, based on the Chow and Lagrange Multiplier (LM) tests. The results show that information technology infrastructure has a positive and significant effect on online learning performance. Internet access also exhibits a positive and significant influence and becomes the most dominant factor supporting the success of digital learning. Simultaneously, both variables significantly affect online learning performance. This study highlights the importance of investing in IT infrastructure and improving internet quality to optimize digital learning implementation in educational institutions.

Sistem Informasi Layanan Panti Rehabilitasi Budi Asih Berbasis Web untuk Akses Pendaftaran, Tagihan, dan Ketersediaan Tempat Tidur

Abednego Pebrianto Siregar — 2026-01-10

Service information of Budi Asih Rehabilitation Center, such as advanced treatment registration, monthly billing each class and medicine, and remaining beds each class cannot be accessed because it is not yet available online, which requires people to come to the center, which can cause them to go back and forth just to access the information. This study aims to build an information system that can provide the information online for people. This system created using Laravel version 11 and database using MySQL. The research method used in building this information system is Research and Development (R&D). The result is a web application and database that can provide information on online advanced treatment registration, monthly billing information each class and medicine, and remaining beds each class. The tests conducted such as black box testing and User Acceptance Test (UAT) involving 10 respondents. The results showed that the registration time decreased from an average of 20-30 minutes to 5-10 minutes (efficiency above 70%), and information could be accessed in less than one minute. This study only covered the registration, billing, dan bed information features, and did not include patient medical records. The benefit of this system is that detailed dan accurate information about the center can be accessed online by the family of patients anytime and anywhere before deciding to visit the center.

Implementasi Metode RAD pada Sistem Pemesanan Makanan dan Minuman Berbasis Web dengan QR Code

Imam Syazali Lubis — 2026-01-10

This study was conducted to address operational issues at Kafe Kaffeine, which still relied on a semi-computerized ordering process that caused service delays, data inaccuracies, and inefficiencies in generating daily sales reports. The objective of this research is to develop a web-based food and beverage ordering system integrated with QR Code technology to improve service speed and data accuracy. The Rapid Application Development (RAD) method was employed due to its iterative nature and its ability to involve users throughout each development stage. The system was developed using PHP, MySQL, HTML, CSS, and JavaScript, and evaluated through black-box testing. The results indicate that QR Code integration enables customers to place orders independently, reduces input errors, and accelerates transaction flow. Furthermore, the system automates sales recording and provides real-time reporting, thereby enhancing operational efficiency and service quality in culinary SMEs.

Strategi Komunikasi Pemerintah dalam Implementasi Program Makan Bergizi Gratis (MBG) : Studi Kasus SMKN 1 Jogonalan

Awi Pujiyanto — 2026-01-10

The Free Nutritious Meal Program (MBG) is implemented as a government effort to improve nutrition, health, and reduce stunting rates in Indonesia. This program has been running for approximately ten months, but during its implementation, several cases of poisoning were found in several areas that raised some concerns for the community, especially for students and parents who received MBG. This study focuses on the communication process theory according to Effendy including communicators, messages, channels, communicants, and effects. This study uses a descriptive qualitative approach in the form of specific interviews with the Nutrition Fulfillment Service Unit (SPPG) Lumbung Karya Nusantara Plawikan, teachers, and students at SMKN 1 Jogonalan, Klaten Regency. The author used purposive sampling in selecting key informants who were considered to have the most knowledge and in-depth information about MBG, including the head of SPPG, six students who received MBG, and the teacher in charge of MBG, then the information was processed with thematic analysis. The research results found that there are still several aspects of communication that have not been implemented, such as the school as the communicator has not delivered an official message to students and parents and social media as a channel to provide information on the MBG program to students and parents whose information validity is considered lacking, thus raising concerns about the MBG program. Several of these findings indicate the need for increased socialization of the MBG program that is valid, a variety of digital and conventional content and adjustments to further communication strategies for the government or related institutions. This research emphasizes the importance of transparent, fast, and empathy-oriented public communication, especially social policies that touch people's lives. The results of this study are expected to be a consideration for the government and related institutions in developing more effective communication programs, especially the MBG program.

Interaksi Komunikasi Keluarga dalam Era Generasi Digital: Implikasi pada Orang Tua dan Remaja di Desa Gajing Jaya

Ariana Balqis — 2026-01-10

The rise of digital technology has greatly reshaped family communication patterns, especially between parents and adolescents in Gajing Jaya Village. This qualitative research aims to explore how these changes affect the emotional and social connections among family members. The findingsindicate that, despite the growing reliance on digital media for interaction, face to face communication remains esential to maintain closeness and mutual understanding. Parents and adolescents respond to technology in different ways; parents strive to set supportive rules that maintain emotional bonds, whille adolescents leverage technology to broaen their social circles. The study emphasizes that maintaining harmonious family communication in the digital age depends largely on balencing technology use as a tool to strengthen relationships. The continuous adaption of paretal roles and adolescents awareness of digital communication ethics are crucial for sustaining harmony amid ongoing changes.

Analisis Emosi dalam Lirik Lagu menggunakan Natural Language Processing

Michael Sabda Husada — 2026-01-10

Music is a universal medium for expressing emotions, with song lyrics serving as a narrative component rich in affective content. This study aims to analyze the emotional landscape within popular English song lyrics collected from the Spotify platform and to examine the effectiveness of Natural Language Processing (NLP) approaches in classifying these emotions. The research corpus consists of 57,494 randomly collected song lyrics without genre restrictions. Through a comprehensive analytical pipeline---ranging from text preprocessing (case folding, normalization, cleaning, tokenization, filtering, stemming), custom lexicon-based emotion labeling, TF-IDF feature extraction, to classification using a Random Forest model---the study reveals two key findings. Empirically, song lyrics are dominated by positive emotions, with romantic (36.2%) and happy (26.2%) emerging as the main themes, followed by sad (16.3%), while angry expressions (4.4%) appear least frequently, indicating significant class imbalance. Methodologically, the proposed model demonstrates solid performance with an overall accuracy of 83.03% and a weighted avg F1 score of 0.82. However, analysis of the confusion matrix and classification report uncovers performance disparities across emotion classes: angry and energetic emotions exhibit low recall (42% and 62%, respectively), likely due to imbalanced data distribution and lexicon limitations in capturing context. In conclusion, this study not only succeeds in mapping the dominance of love- and happiness-related themes in popular song lyrics but also demonstrates that classical NLP models can achieve competitive performance. The findings additionally highlight the importance of addressing class imbalance and developing more context-rich emotion lexicons or employing deep learning models in future research, in order to capture the emotional spectrum of lyrics more evenly and comprehensively.

Pemetaan Mitigasi Bencana, Deforestasi, dan Kebijakan Komunikasi Pemerintah: Implikasi bagi Sumatera Utara

Arya Fandhy — 2026-01-10

This study aims to analyze the network structure, theme development, and density of disaster mitigation, deforestation, and government communication policies, as well as examine its implications for socio-ecological vulnerability conditions in North Sumatra. This research method uses a quantitative approach with a bibliometric design through the metadata analysis of publications for the 2020–2025 period, each as many as 1291 articles for the theme of disaster mitigation, deforestation, and government communication policies, as well as 59 disaster-related articles in North Sumatra, using VOSviewer to map network visualization, overlay, and density. The results of this study reveal that the dominance of policy clusters as a link between deforestation and flood risk shows that the effectiveness of disaster mitigation in North Sumatra is highly determined by the direction, consistency, and integration of development policies. The findings of the study density on policy and land use issues directly imply the need to tighten licensing, control deforestation, and spatial and watershed planning as mitigation policy priorities. Meanwhile, the shift in theme towards more specific flood risk assessments underscores the need for prevention and data-driven policies, which must be strengthened through transparent and participatory government risk communication in order to transform risk knowledge into long-term vulnerability reduction collective action.

Konstruksi Pesan Kemanusiaan dan Pemulihan Psikososial Pascabencana di Aceh, Sumatera Utara, dan Sumatera Barat dalam Konten Instagram @aniesbaswedan

Dhea Syafitri — 2026-01-10

This study aims to analyze the construction of the meaning of humanitarian messages and psychosocial recovery as well as the representation of the role of actors, empathy, and social solidarity in Instagram content @aniesbaswedan in the post-disaster situation in Aceh, North Sumatra, and West Sumatra. The study used a qualitative method with a content analysis design, referring to the Krippendorff approach, on 22 Instagram posts for the period of November 27–December 23, 2025 which were analyzed interpretively through thematic categorization and interpretation of latent meaning. The results showed that humanitarian messages were constructed through empathic narratives, the use of inclusive diction, visual direct engagement with survivors, as well as an emphasis on collective solidarity and the sustainability of recovery, while psychosocial recovery was represented as a long-term social process involving non-survivor actors, community social capital, dignity values, and recognition of the emotional and cultural experiences of affected communities. These findings confirm that content @aniesbaswedan serves as an alternative digital public space that complements the state's formal narrative in responding to disasters. This study recommends strengthening empathic, participatory, and community-based post-disaster communication strategies for governments, humanitarian organizations, and public figures, as well as encouraging cross-platform follow-up research and audience approaches to deepen the study of humanitarian communication and psychosocial recovery.

Informasi Banjir di Aceh Tamiang: Citizen–Generated Content Versus Klarifikasi Pemerintah

Armelia Agustina — 2026-01-10

This study aims to analyze the framing of the government and citizen-generated content on flood information in Aceh Tamiang and compare the construction of meaning, responsibility, and handling recommendations built by the two actors in the digital communication space. The method used is qualitative research with Robert Entman's framing analysis design, using data in the form of TikTok content consisting of official government clarifications and public content in the November-December 2025 period, which is collected through non-participatory observation and documentation, then categorized based on the function of problem definition, causal diagnosis, moral assessment, and solution recommendations. The results show that government framing tends to emphasize stability, perception control, and institutional legitimacy by reducing crises as controlled situations, while citizen-generated content displays the reality of humanitarian crises, inequality of handling, delayed responses, and social and ecological damage as the center of meaning, thus forming a strong counter-narrative in the digital public space. The comparison of the two framing shows the battle of meaning between the narrative of state stability and the direct experiences of survivors that affect audience reception and public trust. This study recommends the repositioning of government disaster communication towards a more transparent, empathetic, and participatory approach, strengthening risk communication based on field experience by disaster management agencies, and the development of advanced research that integrates framing analysis with audience reception studies and digital platform dynamics.

Strategi Komunikasi Tim Tanggap Bencana UMSU dalam Pemulihan Psikososial bagi Penyintas Pascabencana Alam di Tanjung Pura

Baihaqi Septiansyah Novrizal — 2026-01-10

This study aims to analyze the communication strategy of the UMSU Disaster Response Team in the psychosocial recovery process of post-flood survivors in Tanjung Pura, Lalat Regency, with an emphasis on the role of communication in supporting the recovery of the psychological and social conditions of the affected communities. This study uses a qualitative approach with an interpretive case study design. The research data was collected through in-depth interviews with 4 volunteers of the UMSU Disaster Response Team and 4 flood survivors who were selected through purposive techniques, equipped with field observations and documentation studies. The validity of this research data was checked through triangulation techniques. The results of the study show that the communication strategies implemented are empathetic, participatory, and sustainable, manifested through active listening, the use of everyday language, two-way dialogue, and consistent communicative assistance, thus contributing to the formation of survivors' trust, increasing emotional calm, reducing anxiety, and strengthening social relations and community solidarity. This study recommends strengthening the communication capacity of disaster actors through field-based training, the integration of empathic communication in post-disaster psychosocial recovery guidelines, and the development of assistance policies and practices that are responsive and sensitive to the social, cultural, and psychological context of the affected communities.

Komunikasi Interpersonal Orang Tua pada Anak dalam Edukasi Pinjaman Online: Studi Kasus Terkait Interpersonal Power Orang Tua pada Keluarga Ekonomi Menengah ke Bawah

Panggah Lesmantoro — 2026-01-10

The assumption in this research is how Generation Z, as digital natives, has become a generation that is familiar and easily accesses media such as online lending applications. Several studies have shown the pros and cons within the online lending culture. Furthermore, data from the OJK indicating that Gen Z is the largest contributor to bad credit highlights the urgency of conducting this research. In the process of digital media literacy, there are gaps between parents and Gen Z, known as the digital divide phenomenon. Within these conditions, online lending innovation emerges as problematic issue, particularly in a family context. The focus of this research is the tendency of interpersonal communication between parents and children regarding Interpersonal Power and which type of power is most suitable for educating children about online lending in lower-middle-class families. This study uses a qualitative method with a descriptive approach and the Interpersonal Power theory initiated by John R. P. French and Bertram Raven, adapted by Joseph A. Devito, to explain the online lending education processes conducted by parents for Gen Z. The results of this study indicate that not all types of power possessed by parents can be applied in lower-middle-class family conditions. Reward power, coercive power, and expert power are irrelevant to be applied in these families, whereas referent power and legitimate power proved to be the dominant powers used within the lower-middle-class family scope. These two powers produce a social approach that aligns with the socio-economic reality of lower-middle-class families, with referent power used to build awareness and legitimate power used for supervision.

Strategi Komunikasi BPBD dalam Penanganan Bencana Banjir Kampung Lalang Medan Sumatera Utara

Aisyah Putri — 2026-01-10

Flooding is one of the most frequent hydrometeorological disasters in urban areas in Indonesia and causes significant social, economic, and humanitarian impacts (BNPB, 2024). Medan City, particularly the Kampung Lalang area in Medan Sunggal District, is an area that experiences repeated flooding due to high rainfall intensity and overflowing of the Deli, Babura, and Sunggal watersheds. Data from the Deli Serdang Regional Disaster Management Agency (BPBD) in November 2025 recorded 16 fatalities, 40,094 houses submerged, and 207,441 people affected by flooding and landslides in the Medan area. Meanwhile, the Medan City BPBD reported that 3,181 houses and 10,391 people were affected by flooding in October 2025 with no fatalities. In disaster situations, communication plays a strategic role as a means of coordination, conveying emergency processes, and raising public awareness of disaster management policies. The Medan City BPBD serves as a disaster communication command center that coordinates information between agencies, volunteers, and affected communities. This study aims to analyze the communication strategy of the Regional Disaster Management Agency (BPBD) in handling the flood disaster in Kampung Lalang, focusing on the role of communicators, coordination patterns, and obstacles in disseminating messages to the community. This study uses a qualitative descriptive approach through interviews, observations, and documentation studies. The results indicate that the effectiveness of the BPBD's communication strategy is influenced by the credibility of the communicators, the clarity of information flow, and synergy between agencies. However, challenges remain, such as low community risk literacy and the complexity of field conditions in flood-prone areas.

Implementasi Chatbot Cuaca Berbasis SBERT dan LLM Gemini Menggunakan OpenWeather API

Hanif luthfi Irfanudin — 2026-01-10

This study discusses the development of a Natural Language Processing (NLP)-based weather chatbot dashboard capable of receiving natural Indonesian language queries and displaying weather information interactively. The system combines Sentence-BERT (SBERT) paraphrase-multilingual-MiniLM-L12-v2 as a text similarity engine, Gemini 2.5-flash Large Language Model (LLM) as a natural language summary generator, and the OpenWeather API as a real-time weather data source. A zero-shot semantic similarity approach is used without fine-tuning, with intent determination based on cosine similarity and a threshold of 0.5 optimized through testing several threshold values. The development method used is the Waterfall model with stages of requirements analysis, architectural design, NLP module implementation and API integration, React dashboard frontend development, as well as functional black-box testing and performance metric evaluation. The test results show that SBERT with a threshold of 0.5 produces an intent classification accuracy of 90% in 20 test scenarios, which increases to 100% after being combined with rule-based auto-adjust and fallback mechanisms. City entity extraction with a 1–3 word sliding window against city.list.json achieved 100% accuracy on 15 city-based queries, while macro metrics yielded a precision of 0.9286, a recall of 0.90, and an F1‑score of 0.8958. The integration of the OpenWeather API and Gemini enables the presentation of natural, informative weather summaries and visualization of real-time weather data in the form of interactive graphs on a React-based dashboard.