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All Journal JOIV : International Journal on Informatics Visualization Jurnal Riset Informatika Jurnal Informatika Global Journal of Information Systems and Informatics Jurnal Pengabdian UNDIKMA Community Empowerment International Journal of Community Service Indonesian Community Journal Dharma Sevanam : Jurnal Pengabdian Masyarakat Jurnal Informatika Ekonomi Bisnis IJISCS (International Journal of Information System and Computer Science)
Fianty, Melissa Indah
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Nursing Public Health Social Sciences Other

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Inovasi Manajemen Melalui Pelatihan Pendaftaran Label BPOM dan Halal bagi Produk UMKM Kuliner Desa Legok Kabupaten Tangerang Dewi, Cynthia Sari; Fianty, Melissa Indah; Saputri, Fahmy Rinanda
Jurnal Pengabdian UNDIKMA Vol. 5 No. 1 (2024): February
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v5i1.9157

Abstract

This community service activity aims to increase the knowledge and ability of MSMEs in Legok Village to register BPOM label products and halal labels as an effort to expand marketing, consumer confidence and business competitiveness. Methods of implementing this service uses training with lecture, demonstration and discussion stages. The evaluation instrument for this activity uses a questionnaire, which is then analyzed descriptively. The results of this service show that the business actors of the Legok Village Culinary MSMEs in Tangerang Regency have the ability and skills to register business products with BPOM and halal labels. BPOM and Halal labels can be utilized as product innovation in increasing business competitiveness.
OPTIMIZING RISK MANAGEMENT IN THE INSURANCE SECTOR: LEVERAGING THE COBIT 5 FRAMEWORK Pratama, Kenny; Fianty, Melissa Indah
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i3.1591

Abstract

A vehicle insurance company is grappling with a critical issue amid its efforts to integrate information technology into its operations. The problem revolves around the absence of documented procedures related to IT service management and infrastructure resources, impacting various operational facets, including business processes, staff management, applications, infrastructure, facilities, and vendor relationships. To address these concerns, the company has taken measures, including identification, analysis, control, and mitigation of IT-related risks. However, these measures have proven insufficient for optimal risk management, prompting the need for a comprehensive evaluation of their IT risk management capabilities. This assessment focuses on evaluating the implementation of IT risk management using a qualitative approach within the COBIT 5 framework. Specifically, it assesses the company's performance in two closely related processes: APO 12 (Manage Risk) for identifying IT-related risks and DSS 05 (Manage Security Services) for understanding the role of information security and monitoring security aspects. The assessment results indicate that the company's IT risk management capability is at level 3 (Established) for both processes. However, the company aspires to reach level 4 (Predictable) and improve their risk management. Furthermore, a critical discovery is the absence of Standard Operating Procedures (SOPs) related to data encryption, which is vital for information security. While some monitoring methods for information security service design have been effective, there is a need for enhanced data security through the development of encryption-related SOPs. The company plans to implement improvements based on COBIT 5 framework recommendations to achieve a higher level of risk management capability. These enhancements aim to better align IT-related risk management with the company's business objectives and improve the overall effectiveness of the processes.
Evaluation of Sentiment Analysis Methods for Social Media Applications: A Comparison of Support Vector Machines and Naïve Bayes Leandro, Jose Octavian; Fianty, Melissa Indah
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.2905

Abstract

This study compares the effectiveness of the Support Vector Machine (SVM) and Naïve Bayes methods in sentiment analysis of TikTok application reviews in Indonesia. The primary objective is determining which method better classifies positive and negative sentiments. The dataset consists of TikTok reviews collected from Indonesian users. SVM and Naïve Bayes methods are evaluated using accuracy, precision, recall, F1-score, and Area Under the Curve (AUC). The results show that SVM outperforms Naïve Bayes in detecting positive sentiments, with higher precision, significant recall, and a more robust F1-score. SVM’s AUC further highlights its ability to differentiate between positive and negative reviews. While Naïve Bayes offers some advantages in specific cases, SVM is recommended for applications requiring more precise sentiment detection on social media platforms like TikTok. The practical implications of this research are considerable. First, the findings can help developers and data analysts improve automated sentiment analysis tools, leading to better accuracy in classifying user feedback. Second, content moderation systems can leverage SVM to identify and mitigate harmful content, enhancing users' overall safety and experience more effectively. Third, businesses can utilize these insights to optimize their marketing strategies, tailoring campaigns based on real-time sentiment analysis. These applications will improve user engagement, reputation management, and customer satisfaction. Future research should explore additional machine learning techniques and further refine sentiment analysis models for enhanced performance.
DASHBOARD VISUALIZATION OF FOOD SECURITY IN INDONESIA: ADDRESSING CHALLENGES OF FOOD DISTRIBUTION AND ACCESS Valentina, Alessandra; Fianty, Melissa Indah; Mashur, Tsabitah Ramadhani; Laurenzia, Kezia Aprila
Jurnal Ilmiah Informatika Global Vol. 15 No. 2: Agustus 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i2.4168

Abstract

Food, a basic human need, is crucial for survival. Food shortages signal vulnerability to food security in a country. This affects the welfare of the people and the economy of a country. This research explores the challenges of food security in Indonesia, where unequal distribution creates access gaps and affects food management. It presents visualizations highlighting aspects of food security, including limited access in vulnerable areas, and emphasizes the need for government intervention to prevent food crises and stunting. The study underscores the importance of optimizing food utilization through education and community empowerment to drive economic growth. In addition, with Indonesia's high population growth, ensuring sustainable food availability is crucial. The visualization takes the National Food Agency dataset, which includes the scores of each province based on aspects of food security. The data is processed and presented using Tableau, representing various visuals such as bar charts, maps, trend lines, and several other visuals made into a dashboard. The results show that food security in each region, especially vulnerable areas, shows good progress. The visualization results can be used as a reference for the government in developing strategies to prevent food crises by considering these aspects in reducing stunting rates and encouraging the economy in Indonesia.
Co-Authors Aulia, Azka Basuki, Sucipto Beato, Jonathan Cynthia Sari Dewi Dina Fitria Murad Erick Fernando B311087192 Faza, Ahmad Fernando, Luis Johan, Monika Evelin Laurenzia, Kezia Aprila Leandro, Jose Octavian Marojahan Tampubolon Mashur, Tsabitah Ramadhani Pratama, Kenny Riyanto Riyanto Saputri, Fahmy Rinanda Setiadi, Laurentinus Heriyanto Setiawan, Johan sherly sherly Sulaiman, Agus Susanto, Meitio Valentina, Alessandra Veronica, Mella Margareta WINANTI, WINANTI Wongso, Bernard Pratama Yusuf Yusuf