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Visual Branding Strategies For Culinary Msmes In Legok Village: A Community-Centered Approach Through Design Training Saputri, Fahmy Rinanda; Fianty, Melissa Indah; Dewi, Cynthia Sari
International Journal Of Community Service Vol. 3 No. 4 (2023): November 2023 ( Indonesia - Republik Demokratik Timor Leste - Malaysia - USA -
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v3i4.224

Abstract

Community engagement through training in logo and packaging design for culinary MSMEs in Legok Village is an initiative aimed at enhancing the competitiveness and sustainability of micro, small, and medium-sized enterprises (MSMEs) in rural areas. Legok Village, renowned for its traditional culinary richness, is the focal point of this research. This study presents a community-based approach employed to strengthen the visual identity of culinary MSME products through design trainingusing Adobe Ilustrator.The methodology includes phases of identifying the needs of MSMEs, conducting logo and packaging design training, and evaluating the impact of this training. The research findings indicate that logo and packaging design training has a significantly positive impact on the development of culinary MSME products, enhancing their visual appeal, and increasing brand awareness in both local and regional markets.The results have significant implications for the development of culinary MSMEs in similar villages. The improved quality of logo and packaging design benefits MSME businesses and can increase household income, stimulate local economic growth, and enhance the quality of life in rural communities. Thus, community engagement through logo and packaging design training for culinary MSMEs emerges as a crucial instrument in building economic sustainability in rural villages.
Empowering Pregnancy Risk Assessment: A Web-Based Classification Framework with K-Means Clustering Enhanced Models Wongso, Bernard Pratama; Johan, Monika Evelin; Fianty, Melissa Indah
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.568

Abstract

This study aims to determine whether there is an increase in accuracy results for predicting pregnancy risk with a classification algorithm that goes through and without going through the clustering stage. After that, compare which classification algorithm gets the best improvement. This study uses the K-Means clustering approach, as well as the SVM, Naive Bayes, and K-Nearest Neighbor (KNN) classification algorithms. The pregnancy risk dataset used comes from the UCI Machine Learning Repository. Evaluation metrics used include accuracy, precision, recall, and F1-score. The results of the study revealed that the K-Means model with KNN provided the highest performance compared to the other two, with an accuracy of 79.53% and an average F1-score of 0.8. The implementation of K-Means resulted in an increase in accuracy of 0.4%, 1.57%, and 2.76% on KNN, SVM, and Naive Bayes respectively, which confirms the impact of clustering in improving classification performance. The resulting model can be used in real-time via a website built using the Flask API, and offers tools that can help health practitioners to plan treatments effectively and minimize the risk of pregnancy.
Application of Clustering-Based Data Mining for the Assessment of Nutritional Status in Toddlers at Community Health Centers Fianty, Melissa Indah; Johan, Monika Evelin; Aulia, Azka; Veronica, Mella Margareta
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.586

Abstract

Nutritional status is a crucial foundation for human health and development. Global facts indicate serious challenges in ensuring adequate nutrition, and the situation is no different in Indonesia. This research collected data from the Kelapa Dua Tangerang community health center and utilized data mining techniques with the k-means clustering algorithm to delve deeper into the nutritional status of toddlers. The research findings revealed that nearly 37.3% of toddlers experience issues with abnormal height or weight, as well as poor nutritional conditions, highlighting the importance of careful and timely intervention. With regular health monitoring by community health centers and active parental involvement, actions can be taken to support the optimal growth and development of these children. The results of this research provide a strong understanding to address malnutrition issues, which will ultimately support the formation of a healthier and more promising future generation in Indonesia.
COBIT 2019 Framework: Evaluating Knowledge and Quality Management Capabilities in a Printing Machine Distributor Beato, Jonathan; Fianty, Melissa Indah
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.638

Abstract

Within the realm of printing machine distribution, information technology assumes a critical role in streamlining business operations. This study addresses persistent challenges related to inaccurate inventory data and insufficient knowledge management in IT applications. Utilizing the COBIT 2019 framework to assess IT governance capability, qualitative data was collected through interviews to uncover prevailing issues. The findings underscore specific process objectives—APO11 (Managed Quality), BAI08 (Managed Knowledge), and DSS06 (Managed Business Process Controls)—highlighting the need for improved capability levels. For example, APO11 currently resides at level 3 while aiming for level 4, indicating a one-level discrepancy. Similarly, BAI08 and DSS06 are at level 2, signaling a collective two-level gap. Proposed enhancements center on bolstering IT knowledge management and procedural training to meet quality standards in future IT applications. These measures aim to strengthen organizations, aligning IT practices with business processes to ensure heightened quality and efficiency. Notably, this abstract intentionally omits explicit mention of the evaluated IT process, adhering to the specified guideline.
Optimizing Motorcycle Sales: Enhancing Customer Segmentation with K-Means Clustering and Data Mining Techniques Fernando, Luis; Fianty, Melissa Indah
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.799

Abstract

Information plays a crucial role in the sustainability of company operations. The development of information technology, especially in the industry 4.0 era, affects various fields including economics, social, and education. The company faces challenges in declining motorcycle sales due to intense competition and ineffective customer segmentation. To address these issues, this study proposes the use of the K-Means algorithm with Python tools for better customer segmentation. The study aims to identify diverse customer groups and tailor marketing strategies accordingly. By utilizing the Elbow method and Silhouette score, the analysis of customer data is simplified. This study also employs data mining techniques to uncover hidden patterns in motorcycle sales data, aiding companies in improving operational efficiency and decision-making.
Web-Based Assignment Information System Serves to Improve Economic Research at Universities and Public Services Susanto, Meitio; Johan, Monika Evelin; Sulaiman, Agus; Fianty, Melissa Indah
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 1 (March 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i1.824

Abstract

Community Outreach is one of the Tridharma of Higher Education which is the obligation of lecturers in Indonesia. The Institute for Research and Community Outreach (LPPM) at Universitas Multimedia Nusantara (UMN) is an institution that supports and facilitates Community Outreach activities, starting from submitting proposals, monitoring implementation, assignment letters, and completion reports. There are several procedures such as filling in data on a form which can be accessed using the Linktree link. This makes it difficult for LPPM admins to manually recap data by checking the forms that have been submitted. Even though there is a Research and Community Outreach (RCOS) website, there is no feature for Community Outreach services yet. This research develops the RCOS LPPM website at UMN by adding features for Community Outreach services. By using the Agile development method which focuses on developers, existing software, customers, and change requirements, the web-based information system created is expected to further complement the digitalization and automation of LPPM UMN service features, making it easier for both lecturers and admins in the process.
Optimizing Market Reach and Sales Growth for Putri’s Home Cooking Through E-Commerce Integration Fianty, Melissa Indah; Saputri, Fahmy Rinanda; Tampubolon, Marojahan
I-Com: Indonesian Community Journal Vol 5 No 1 (2025): I-Com: Indonesian Community Journal (Maret 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/icom.v5i1.6584

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in the culinary sector have significant potential in the national economy, but they face challenges in adopting digital technology. The main obstacles include limited infrastructure and a lack of understanding in e-commerce management. This study evaluates the implementation of an e-commerce website for Putri’s Home Cooking in Legok, Tangerang, using an innovative approach that combines intensive mentoring and data-driven marketing strategies tailored to the characteristics of the partners. The uniqueness of this program lies in the combination of continuous mentoring and the use of analytical data for more precise marketing decision-making. The methods used include case-based training, the development of user guides, and ongoing evaluation using analytical data to understand customer behavior. The results show that the adoption of the website improves visibility and transaction efficiency while significantly expanding the market. Training helps the partners manage e-commerce independently and optimize digital marketing. The effectiveness evaluation is conducted through partner feedback, site performance analysis, and user engagement. This study demonstrates that digital transformation, based on strategic mentoring and analytics, can sustainably enhance the competitiveness of MSMEs.
Training on using electricity monitoring instruments for MSMEs in achieving sustainable energy efficiency in Legok Village Saputri, Fahmy Rinanda; Fianty, Melissa Indah; Tampubolon, Marojahan
Community Empowerment Vol 10 No 3 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.12746

Abstract

Culinary MSMEs (Micro, Small, and Medium Enterprises) in Legok Village face challenges in managing energy consumption efficiently, resulting in higher operational costs. These challenges are due to a lack of tools to monitor energy use and limited knowledge of advanced energy management practices. To address this, this program aims to enhance the understanding of culinary MSME managers in Legok Village about energy efficiency and its practical application by introducing commercially available IoT-based monitoring devices. These devices allow them to track and manage electricity consumption in their culinary businesses effectively. The methods used include theoretical presentations, tool demonstrations, practical exercises, and technology transfer. Evaluation results show that this training is highly effective and increases partner knowledge. Feedback from participants emphasizes the need for improved security, better practicality, and the addition of features such as peak watt monitoring.
Expose Pengembangan Desa Wisata Religi Di Desa Pete Kecamatan Tigaraksa Tangerang Fernando, Erick; Winanti, Winanti; Riyanto, Riyanto; Murad, Dina Fitria; Faza, Ahmad; Fianty, Melissa Indah; Setiawan, Johan; Basuki, Sucipto; Yusuf, Yusuf
Dharma Sevanam : Jurnal Pengabdian Masyarakat Vol 4 No 1 (2025): Juny 2025
Publisher : IAHN Gde Pudja Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53977/sjpkm.v4i2.2425

Abstract

Wisata Religi menjadi salah satu potensi wisata di Desa Pete sampai saat ini peziarah sering mengalami kebingunan untuk mencari titik lokasi jalan, kondisi medan dan informasi-informasi lainnya. Sehingga dibutuhkan aplikasi wisata religi yang dapat diakses oleh siapa saja berbasis website, GIS dan AR/VR. Pengembangan dilakukan selama tiga tahun dengan tim dari tiga kampus yaitu Universitas Multimedia Nusantara, Universitas Insan Pembangunan Indonesia dan Universitas Biina Nusantara. Metode yang dilakukan dalam kegiatan expose pengembangan desa wisata religi ini dengan menggunakan teknik ceramah, diskusi dan wawancara. Kegiatan expose ini sebagai titik awal dari kegiatan pengembangan aplikasi wisata religi yang melibatkan Camat Desa Pete, penggiat BumDes Pema Bersama, salah satu keturunan Syekh Mubarok, pemuka masyarakat dan dosen dari tiga kampus. Hasil kegiatan ini akan ditindaklanjuti dengan kegiatan lain yang akan direncakan dalam tiga tahun ke depan sesuai dengan roadmap yang telah dibuat.