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All Journal Room of Civil Society Development Jurnal Riset Teknik Komputer Jurnal Padamu Negeri
Herliawan, Aditya
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Arts Humanities Computer Science & IT Education Industrial & Manufacturing Engineering Social Sciences Other

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Empowering Communities in Cengkareng through Online Learning: Unveiling the Potential of News Portal Nachannel.my.id Firdaus, Mohamad; Herliawan, Aditya; Fatoni, Fatoni; Aldiansyah, Aldiansyah
Room of Civil Society Development Vol. 2 No. 6 (2023): Room of Civil Society Development
Publisher : Lembaga Riset dan Inovasi Masyarakat Madani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59110/rcsd.176

Abstract

In the contemporary era, news portals have become integral mediums for global information access and dissemination. However, the swift evolution of technology demands a nuanced understanding to effectively harness these platforms. This study employs an online learning approach as part of a community service initiative, targeting the residents of Komplek Kebersihan Street 13th Neighbourhood 10th Hamlet in Cengkareng, West Jakarta. Focused on the news portal Nachannel.my.id, this endeavor not only familiarizes participants with its features but also addresses the imperative of technological literacy in engineering education. By providing insights into news portal functionality and usage, the initiative empowers participants to navigate the digital information landscape proficiently. The study's outcomes underscore the significance of bridging the knowledge gap, as post-service feedback reflects enhanced awareness and appreciation for the advantages conferred by news portals. This research contributes to the field of engineering by emphasizing the pivotal role of technological literacy in engaging with contemporary information platforms.
MODEL MACHINE LEARNING CNN BERBASIS DENSENET UNTUK IDENTIFIKASI PNEUMONIA MELALUI CITRA SINAR-X Firdaus, Mohamad; Herliawan, Aditya
Jurnal Riset Teknik Komputer Vol. 2 No. 2 (2025): Juni : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/q8v70k68

Abstract

The application of machine learning, particularly the *Convolutional Neural Network* (CNN) method, has experienced rapid development in the medical field. Through the process of image data grouping, CNN is capable of classifying based on the similarity of characteristics and attributes of the images. This capability is highly beneficial in the healthcare sector, especially in differentiating chest X-ray images. This study aims to evaluate the DenseNet architecture while applying it to classify Covid-19 disease by utilizing 98 chest X-ray images as training data. The test results showed that the average *loss* value on the training data was 0.8621, with an average accuracy of 0.6950. Meanwhile, the average *loss* value on the validation data was recorded at 1.0682, with an average accuracy of 0.6399. From these results, it can be concluded that the model performed better on the training data than on the validation data, indicating the occurrence of *overfitting*. Therefore, further adjustments to the model are necessary to improve its performance on the validation data
PENGGUNAAN APLIKASI AKUNTANSI BERBASIS EXCEL UNTUK UMKM SECARA DARING Herliawan, Aditya; Firdaus, Mohamad
Jurnal Padamu Negeri Vol. 2 No. 3 (2025): Juli : Jurnal Padamu Negeri (JPN)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/watwh560

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are an important sector in Indonesia's economy. However, many MSME actors still face challenges in managing financial reports in a simple and effective manner. One solution is to utilize an accounting application based on Microsoft Excel, which is easy to operate and requires no additional costs. This community service activity aims to provide training and mentoring for MSME actors in using Excel-based accounting applications to record transactions, prepare simple financial statements, and monitor the financial condition of their businesses. The implementation of this activity was carried out online through Zoom Meetings and WhatsApp Groups. The methods used included socialization, interactive online training, and online mentoring. The results of the activity showed that participants were able to understand the basic concepts of accounting records and were capable of using a simple Excel application to record daily transactions, prepare income statements, and cash flow reports. This activity is expected to improve financial literacy and the independence of MSME actors in managing their business finances
Co-Authors Aldiansyah, Aldiansyah Fatoni, Fatoni Mohamad Firdaus Mohamad Firdaus, Mohamad