Garuda - Garba Rujukan Digital

Pemberdayaan Urban Farming melalui Desain Kemasan Produk Berbasis Digital Canva di Kelurahan Kalisegoro Widowati, Fika Ulfa
Jurnal Pengabdian Masyarakat Nusantara (JPMN) Vol. 6 No. 1 (2026): Februari - Juli 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpmn.v6i1.6598

Urban agriculture in urban areas requires digital downstreaming to increase the economic value of products. This study aims to empower the community of Kalisegoro Village through the integration of digital technology in agricultural innovation. Using a theoretical framework of digital-based community empowerment, the implementation methods include socialization, digital literacy, and packaging design workshops using the Canva platform. Involving 14 KKN students and 50 residents, the results of the activity showed a significant increase in technical cultivation skills and visual branding abilities. The use of Canva has been proven to democratize access to professional design, thereby increasing the competitiveness and selling value of local products through representative packaging. In conclusion, the synergy of digital technology and urban farming effectively encourages the transformation of local agricultural products into high-value commodities in the digital era.

Pemberdayaan Urban Farming melalui Desain Kemasan Produk Berbasis Digital Canva di Kelurahan Kalisegoro Fika Ulfa Widowati
Jurnal Pengabdian Masyarakat Nusantara (JPMN) Vol. 6 No. 1 (2026): Februari - Juli 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpmn.v6i1.6598

Urban agriculture in urban areas requires digital downstreaming to increase the economic value of products. This study aims to empower the community of Kalisegoro Village through the integration of digital technology in agricultural innovation. Using a theoretical framework of digital-based community empowerment, the implementation methods include socialization, digital literacy, and packaging design workshops using the Canva platform. Involving 14 KKN students and 50 residents, the results of the activity showed a significant increase in technical cultivation skills and visual branding abilities. The use of Canva has been proven to democratize access to professional design, thereby increasing the competitiveness and selling value of local products through representative packaging. In conclusion, the synergy of digital technology and urban farming effectively encourages the transformation of local agricultural products into high-value commodities in the digital era.

Application of C4.5 algorithm with PSO Feature Selection and Bagging Technique on Breast Cancer Classification Fika Ulfa Widowati
International Journal of Management Science and Information Technology Vol. 4 No. 2 (2024): July - December 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v4i2.3061

The second greatest cause of death for women worldwide is breast cancer. When abnormal cells in the body proliferate out of control, cancer is the result. The diagnosis of breast cancer was established using anthropometric data obtained from standard blood tests. From the UCI Machine Learning Repository, the Breast Cancer Coimbra Data Set was obtained and put to use. One popular classification decision tree method is the C4.5 approach. By selecting the appropriate features and applying the appropriate strategy to address class imbalance throughout the classification process, the performance of the C4.5 algorithm may be enhanced. To determine the accuracy of the classification, tests are conducted using a confusion matrix. Accuracy in this study is anticipated to increase with the application of the C4.5 Algorithm, the Bagging approach to address class imbalance, and the PSO feature selection method. The C4.5 Algorithm, PSO, Bagging Technique produce the best accuracy results, with an average of 86.36 percent. The C4.5 classification method has the second highest accuracy, with a PSO accuracy of 79.39 percent. Utilizing the Bagging Technique in conjunction with the C4.5 Algorithm, the accuracy of 75.0% is the third highest. Furthermore, it has a 65.71 percent accuracy with the C4.5 categorization. As a result, the increase in accuracy from before adding PSO and Bagging Technique was 20.65%, indicating that the inclusion of PSO and Bagging Technique had a substantial impact on the calculation process.

Cybersecurity Mesh and Edge Computing on the Analytics Platform of the Indonesian Telecommunications Industry Fika Ulfa Widowati
International Journal of Management Science and Information Technology Vol. 5 No. 1 (2025): January - June 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v5i1.3845

This research analyzes the implementation of cybersecurity mesh and edge computing on analytics platforms in the Indonesian telecommunications industry. The geographical complexity and disparity of Indonesia's telecommunications infrastructure create unique challenges in securing and optimizing analytics platforms using a mixed-method approach with a sequential explanatory design. The research involves 15 national telecommunications operators representing 85% of the market share. Data were collected through structured surveys, in-depth interviews, and field observations during the period from January to June 2024. The research results show that the integration of cybersecurity mesh with edge computing increases operational efficiency by 45% and reduces latency by up to 75% compared to conventional architecture. The developed integration model successfully accommodates Indonesia's geographical characteristics and complies with national regulations. The implementation of a cybersecurity mesh increased the effectiveness of cyber threat detection by 89%, while edge computing optimization resulted in bandwidth savings of up to 60%. This research contributes to the development of a national blueprint for optimizing telecommunications analytics platforms that are adaptive to Indonesia's conditions. These findings provide practical implications for telecommunications operators in optimizing digital infrastructure. This can enrich the literature by considering integration models from geographical and regulatory aspects.

Deep Learning for HIV Screening Using Laboratory and Demographic Data Fika Ulfa Widowati
International Journal of Management Science and Information Technology Vol. 5 No. 2 (2025): July - December 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v5i2.5371

In this work, laboratory and demographic data were integrated to create a deep learning model for HIV screening. The rising incidence of HIV in Indonesia necessitates the development of more effective and precise screening techniques for early identification. The created methodology improves the accuracy of HIV status prediction by integrating many laboratory indicators, including total blood count, viral load, CD4 count, and patient demographic information. For the years 2020–2024, 5,847 patient samples from different Indonesian hospitals made up the dataset. A Deep Neural Network (DNN) architecture with Grid Search hyperparameter optimization was employed in this investigation. According to the evaluation results, the model obtained an F1 score of 93.5%, a sensitivity of 92.8%, a specificity of 95.1%, and an accuracy of 94.2%. When compared to using only laboratory data, the model's performance increased by 3.7% when demographic data was included. This methodology can lessen laboratory burden while assisting medical staff in doing HIV screening more quickly and accurately. An external validation plan has been created with a testing strategy using a separate dataset from ten referral hospitals that were not part of the model training process in order to guarantee the model's dependability in clinical application. To boost the confidence of medical staff, a workable implementation has been created in the form of an API and web application that can be included into the hospital's current information systems and provide an explanation of the prediction results. To help healthcare facilities with different resource levels embrace this technology, technical and clinical implementation recommendations are offered. In order to assess how well the model works to increase HIV detection rates and clinical workflow efficiency, a post-implementation impact evaluation is planned. The efficiency of HIV prevention and control initiatives in Indonesia might be greatly increased by incorporating this paradigm into the healthcare system.

Implementation of Data Security Framework in Microservices Cloud Computing Architecture for E-Learning Platform Fika Ulfa Widowati
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6599

Secure cloud infrastructure is necessary for Indonesia's e-learning to undergo a digital transition. This study examines how a data security framework is implemented on a microservices architecture based on Platform-as-a-Service (PaaS). Using a kualitatif approach through case studies, this study integrates the principles of Arsitektur Zero Trust, end-to-end encoding, and service isolation. According to the research findings, this integrated framework can enhance system resilience, speed up security incident response by 65%, and lower the chance of data breaches by up to 87%. The PaaS model's high scalability and inadequate resource control make this framework easily applicable to a variety of other large-scale digital platforms. When creating an e-learning ecosystem that is resistant to cyberattacks, developers and educational institutions can use this research as a strategic guide.

Penguatan Daya Saing UMKM Agroindustri Singkong Melalui Implementasi Inovasi Kemasan Ramah Lingkungan dan Pemberdayaan Masyarakat Fika Ulfa Widowati
Jurnal Pengabdian Masyarakat Nusantara (JPMN) Vol. 5 No. 2 (2025): Agustus 2025 - Januari 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpmn.v5i2.5370

Micro, Small, and Medium Enterprises (MSMEs) in the cassava agro-industry have strategic potential to support the rural economy, but face challenges in product competitiveness and environmental sustainability. This research aims to enhance the competitiveness of cassava agro-industry MSMEs thru eco-friendly packaging innovation and community empowerment. The method uses a participatory approach with the stages of socialization, training, mentoring, and evaluation. The program was implemented in Kaliwungu District, Kendal Regency, over a period of 6 months, involving 25 MSMEs. The results show an average increase in turnover of 35% and a substantial improvement in packaging quality. Environmental impacts include an 80% reduction in plastic thru cassava flour and recycled paper packaging, and a 65% decrease in packaging waste. Measurable social impacts include: increasing the capacity of 120 family members in digital business (85% able to operate e-commerce), forming 5 joint business groups, creating 15 new jobs, and improving financial literacy (78% able to prepare simple financial statements). The program creates a multiplier effect by increasing the adoption of digital technology from 20% to 85%. Evaluation shows sustainability thru a system of local partnerships and an integrated distribution network. This research contributes to the development of a green innovation-based MSME empowerment model that can be replicated in other agro-industrial regions, supporting the achievement of SDGs goals 8, 12, and 17.

Improving MicroSME Supply Chain Efficiency through an RFID and IoT-Based Inventory System in Kendal Fika Ulfa Widowati
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8480

For microenterprises in Kendal Regency, relying on manual inventory recording leads to severe supply chain inefficiencies, such as substantial stock discrepancies, frequent stockouts, order fulfillment delays, and unmapped inventory waste. To overcome these operational obstacles, this project aims to develop, deploy, and statistically evaluate a tiered, ultra-low-cost inventory system model that integrates Internet of Things (IoT) and Radio Frequency Identification (RFID) technologies. The concept is especially designed to accommodate micro-scale firms' severe resource limitations. Over the course of a 12-week intervention period, empirical data were collected from 60 microenterprises in three critical districts (Kendal, Kaliwungu, and Weleri) using a quantitative technique with a quasi-experimental single-group pretest-posttest design. An Extended Technology Acceptance Model (TAM) survey that included Infrastructure Readiness and Cost Support elements was used in conjunction with this empirical research. Multiple linear regression and paired sample t-tests were used to analyze the data. The operational results showed dramatic performance gains: monthly stocktaking time lowered by 72.07% (from 8.52 to 2.38 hours), monthly stockout frequency decreased from 5.8 to 1.6 events, and mean stock accuracy increased from 71.4% to 94.2%. Additionally, inventory shrinkage fell from 4.12% to 1.18%, order fulfillment lead time decreased by 57.18%, and inventory turnover ratio increased from 3.20 to 5.42 times annually (p < 0.001 for all parameters). Perceived usefulness (beta = 0.418) and infrastructure readiness (beta = 0.352) were found to be the most significant predictors of continuous usage intention by regression analysis (R^2 = 0.684). The study's main contribution is the first field-tested empirical validation of an ultra-low-cost RFID-IoT architecture (< 115 per node) designed exclusively for independent microenterprises within semi-urban industrial buffer zones. This fills a significant vacuum in the literature. These results give local authorities strategic policy frameworks for the digitalization of MSMEs in the region and provide practical empirical data for the use of supply chain technology.

Dari Risiko Menuju Resiliensi: Sistem Informasi Akuntansi dan Integrasi Rantai Pemasok dalam Efisiensi Persediaan Makanan Beku Fika Ulfa Widowati; Janti Soegastuti; Caecilia Sri Haryanti
Serat Acitya Vol. 15 No. 2 (2026): Oktober: Jurnal Ilmiah Serat Acitya
Publisher : Universitas 17 Agustus 1945

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/hgkvjb41

Penelitian ini menganalisis pengaruh Efek Distribusi dan Aplikasi sistem informasi akuntansi terhadap pengelolaan persediaan makanan beku. Latar belakang penelitian didasarkan pada meningkatnya permintaan makanan beku yang memicu Efek Distribusi seperti keterlambatan pengiriman, kerusakan produk, dan biaya operasional tinggi, serta kelemahan pencatatan manual yang rentan kesalahan. Dengan pendekatan kuantitatif, penelitian melibatkan 65 responden dari populasi 100 karyawan, menggunakan kuesioner dan analisis regresi linier berganda dengan perangkat lunak JASP. Hasil menunjukkan bahwa Efek Distribusi berpengaruh signifikan terhadap efisiensi persediaan, sementara Aplikasi sistem informasi akuntansi meningkatkan akurasi pencatatan, memperkuat kontrol internal, dan mendukung pengambilan keputusan berbasis data. Penelitian ini menegaskan pentingnya integrasi sistem pemantauan rantai dingin untuk meminimalkan Efek Distribusi dan meningkatkan efisiensi operasional perusahaan. This study examined the influence of distribution risk and the implementation of accounting information systems (SISTEM INFORMASI AKUNTANSI (SIA)) on frozen food inventory management. The research background was based on the increasing demand for frozen food, which had triggered distribution risks such as delivery delays, product damage, and high operational costs, as well as weaknesses in manual inventory recording prone to errors. A quantitative approach was employed, involving 65 respondents from a population of 100 employees. Data were collected through questionnaires and analyzed using multiple linear regression with JASP software. The results indicated that distribution risk significantly affected inventory efficiency, while SISTEM INFORMASI AKUNTANSI (SIA) implementation had improved recording accuracy, strengthened internal control, and supported data-driven decision-making. This study emphasized that integrating cold chain monitoring systems was necessary to minimize distribution risks and enhance operational efficiency.

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