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Implementasi Teknologi Cloud Computing Pada Bidang Perbankan (Study Literature) Salam, Abdus; Putri, EE Lailatul
Jurnal Kajian Teknik Elektro Vol 8, No 2 (2023): JKTE VOL 8 NO 2 (SEPTEMBER 2023)
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/jkte.v9i2.7732

Abstract

Studi literatur ini mengeksplorasi peran teknologi informasi, khususnya teknologi cloud computing. Cloud computing telah menjadi solusi utama dalam pengelolaan data, menewarkan fleksibilitas, dan efisiensi operasional yang sangat signifikan terutama pada bidang industri perbankan untuk pengelolaan keuangan dan akuntansi. Memungkinkan pengelolaan secara real-time tanpa adanya keterbatasan fisik dan banyak menarik organisasi untuk mengadopsinya. Industri perbankan melakukan migrasi ke cloud computing dengan membawa berbagai manfaat seperti pengurangan biaya, inovasi produk yang meningkat, serta tingkat keamanan data. Dengan mengahapi tantangan selama proses migrasi seperti manajemen biaya dan integrasi sistem yang sudah ada sehingga perlu adanya kesiapan yang matan dalam perencanaannya. Studi ini menegaskan bahwa teknologi cloud computing adalah salah satu teknologi yang berkembang paling cepat, memberikan manfaat dan peluang besar bagi berbagai industri, khususnya industri perbankan. Untuk meningkatkan efisiensi operasional dan kemampuan untuk merespon erubahan pasar dengan cepat. Sehingga, teknologi cloud computing sangat penting untuk keberhasilan suatu organisasi di era transformasi digital ini.
PENGENALAN MEDIA ANIMASI PEMBELAJARAN INTERAKTIF ADOBE ANIMATE BAGI SISWA/I SMP NEGERI 140 JAKARTA Zalianti, Nabila Reva Zalianti; Ramadhan, Muhammad Lutfi; Nugroho, Adityo; Raditya, Muhammad Riza; Putri, EE Lailatul; Salam, Abdus; Rofii, Ahmad; James, Bobby Arvian
KAMI MENGABDI Vol 5, No 1 (2025): KAMI MENGABDI
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/km.v5i1.7719

Abstract

Kegiatan pengabdian masyarakat yang dilakukan di SMP Negeri 140 Jakarta bertujuan untuk memperdalam pemahaman siswa-siswi tentang teknologi yang sedang berkembang pesat. Kegiatan ini diharapkan dapat meningkatkan minat dan pemahaman siswa terhadap teknologi melalui materi yang disampaikan oleh mahasiswa. Mahasiswa menggunakan metode pengajaran yang interaktif dan menarik, seperti demonstrasi langsung, eksperimen sederhana, dan diskusi kelompok. Materi yang disampaikan mencakup berbagai aspek teknologi yang relevan dan aplikatif, sehingga siswa dapat melihat penerapan langsung teknologi dalam kehidupan sehari-hari. Hasil kegiatan ini menunjukkan antusiasme dan minat yang tinggi dari siswa-siswi SMP Negeri 140 Jakarta dalam mempelajari materi yang disampaikan. Mereka mendapatkan pengalaman berharga dengan melihat langsung proses pembuatan slide media interaktif dan penjelasan mendalam mengenai teknologi. Kegiatan ini juga memberikan kesempatan bagi mahasiswa untuk berinovasi dalam menyampaikan pengetahuan dan membagikan ilmu yang mereka miliki. Pengalaman ini sangat berharga bagi siswa dan mahasiswa. Para siswa mendapatkan tambahan wawasan dan motivasi untuk mengeksplorasi lebih lanjut bidang teknologi, sementara mahasiswa memperoleh pengalaman berharga dalam berkomunikasi dan berinteraksi dengan masyarakat. Dengan demikian, kegiatan ini tidak hanya bermanfaat bagi siswa-siswi SMP Negeri 140 Jakarta, tetapi juga bagi mahasiswa yang terlibat. Diharapkan kegiatan ini dapat menciptakan generasi muda yang lebih siap dan kompeten menghadapi tantangan di era digital, serta berkontribusi pada kemajuan masyarakat dan bangsa.
Pemeriksaan Gula Darah sebagai Upaya Deteksi Dini dan Pencegahan Diabetes EE Lailatul Putri; Muhammad Farhan; Farhan Dwi Ramadhani; Fina Dwi Apriyanti; Allysa Regina Rosa Bangun; Susi Handayani Riskiah; Mega Lestari; Cahyo Eko Prasetyo; Shafa Rafida Ghalia; Alam Anbari; Neli Murniasih; Gerald Angelo Pantarego; Anjar Pambudi; Yahadi Darman; Euginia Aurilie Putri; Salsabila Kasih Putri Ramadhani; Azmi Annisa Islamyah; Wulan Febriyanti; Ayu Wulandari; Huda Fauziyah
Karya Nyata : Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 3 (2025): September : Karya Nyata : Jurnal Pengabdian kepada Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karyanyata.v2i3.2155

Abstract

Diabetes Mellitus (DM) is a non-communicable disease that is currently a major public health problem in Indonesia. The prevalence of DM continues to increase from year to year, not only in urban areas but also increasingly found in rural areas. One factor contributing to the high number of DM cases is a lack of public awareness of the importance of a healthy lifestyle, as well as the continued presence of many undiagnosed cases, resulting in delayed treatment. Therefore, early detection efforts and health education that can reach the community at the community level are needed. This community service program was designed to conduct random blood sugar screenings while increasing the knowledge of residents of RW 15 Kalibaru regarding the prevention and control of DM. The activity was carried out on August 24, 2025, involving 21 participants, most of whom were from adults to the elderly. The activity method consisted of two main stages: checking blood sugar levels using a glucometer and a health education session on a healthy lifestyle, a balanced diet, and the importance of regular physical activity. The results of the activity showed that the indicators of success were well achieved. This was indicated by the orderly implementation of the examinations, a high level of participation from residents, and increased awareness of the dangers of DM among participants. From the examination results, most participants had normal blood sugar levels, but several people were found with blood sugar levels above the normal limit who required medical follow-up.
IMPLEMENTASI NEURAL NETWORK BACKPROPAGATION UNTUK MEMPREDIKSI TINGKAT CURAH HUJAN KOTA PADANG (STUDI KASUS: BMKG MARITIM TELUK BAYUR PADANG EE Lailatul Putri; Panji Wijonarko
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.7567

Abstract

Rainfall is an important factor in weather monitoring as well as in understanding its impact on human life. By utilizing historical rainfall data from previous years, this study aims to predict the rainfall levels in the BMKG Padang City area. Several previous studies have widely used the Backpropagation method to predict rainfall levels in various regions, and the results have shown that this method can produce predictions with a relatively high level of accuracy. Therefore, the researcher is interested in applying the same method in the context of the BMKG Padang City area. In this study, historical rainfall data recorded in the BMKG Padang City area from 2022 to 2024 will be used as training and testing data to develop a rainfall prediction model using an Artificial Neural Network with the Backpropagation algorithm. The research results show that using a 3-13-1 network pattern yields the lowest MSE value of 0.00074166, a MAPE value of 2.1295, and an accuracy level of 97.8705%. The prediction model developed in this study is capable of providing accurate prediction results and has the potential to help in understanding and anticipating rainfall levels in the BMKG Padang City area. It is expected that this research can contribute to the field of weather monitoring and support the development of effective preventive measures against the impacts of rainfall.
Peran Inovasi dan Diversifikasi Produk dalam Pengembangan UMKM Desa Cisalada, Cigombong, Bogor Nurahmansyah, Muhammad Alfath; Yudiawan, Kevin; Dayu, Rama Suci Wulan; Sari, Yunita; Putri, EE Lailatul
BERDIKARI Vol 8, No 2 (2025): Jurnal Berdikari
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/berdikari.v8i2.8717

Abstract

This study discusses the important role of innovation and product diversification in the development of Usaha Mikro, Kecil dan Menengah (UMKM) in Cisalada Village, Cigombong, Bogor. MSMEs are the main drivers of the local economy but still face challenges in business branding. Through outreach activities involving 15 UMKM actors and expert speakers, this program prioritized interactive presentations and discussions to improve understanding and skills in innovation and product diversification. Data analysis using the Wilcoxon Signed Rank Test showed a significant increase in participants' understanding scores after the intervention, with all participants experiencing improvement without exception. These results indicate that socialization is effective in building the readiness of UMKM actors to adapt to the market and develop varied products. This mentoring model has proven to strengthen the collaborative network between UMKM actors, academics, and business practitioners, as well as encourage collective village economic growth. This study recommends replicating a similar socialization model in other regions with similar UMKM characteristics to accelerate innovation, business sustainability, and improve the welfare of rural communities.
Edukasi pengenalan makanan pada siswa/i kelas IV SDN 09 Sunter Agung Jibril, Mohammad; Wijonarko, Panji; Putri, EE Lailatul; Khana, Rajes; James, Bobby Arvian; Salam, Abdus; Tampubolon, Parlindungan
KAMI MENGABDI Vol 5, No 2 (2025): KAMI MENGABDI
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/km.v5i2.7722

Abstract

Kegiatan Abdi Masyarakat di SDN 09 Sunter Agung bertujuan untuk memberikan edukasi kepada siswa-siswi mengenai asal negara makanan, manfaat sayuran, dan mengenal makanan cepat saji. Edukasi ini mencakup pengenalan berbagai makanan dari berbagai negara seperti sushi dari Jepang, pizza dari Italia, dan taco dari Meksiko untuk memperluas wawasan dan menghargai keragaman budaya. Selain itu, siswa diajarkan mengenai manfaat sayuran bagi kesehatan, seperti kandungan vitamin dan mineral dalam wortel, bayam, dan brokoli yang penting untuk pertumbuhan, menjaga sistem imun, dan mencegah penyakit. Sesi mengenal makanan cepat saji memberikan pemahaman tentang jenis-jenis makanan cepat saji, serta dampak negatifnya jika dikonsumsi berlebihan, seperti risiko obesitas dan penyakit jantung. Melalui kegiatan ini, diharapkan siswa-siswi dapat memiliki pengetahuan yang lebih baik mengenai makanan sehat dan seimbang, serta menjadi lebih bijak dalam memilih makanan sehari-hari.
Tinjauan Komprehensif Jaringan Syaraf Tiruan RNN: Karakteristik, dan Aplikasi dalam Peramalan Energi Bangunan Gedung Rofii, Ahmad; Putri, EE Lailatul
Jurnal Kajian Teknik Elektro Vol 10, No 2 (2025): JKTE VOL 10 NO 2 (SEPTEMBER 2025)
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/jkte.v10i2.8645

Abstract

The advancement of Artificial Intelligence (AI) and Machine Learning (ML) has introduced various approaches to processing time series data, particularly for energy consumption forecasting. One of the most prominent architectures is the Recurrent Neural Network (RNN) and its variants, such as Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Bidirectional LSTM (BiLSTM), which are designed to capture temporal dependencies in sequential data. This study examines the development, characteristics, and performance of RNN and its variants across various domains, with a specific focus on building energy consumption forecasting. The reviewed research spans from 1990 to 2024 and was selected based on relevance, citation count, and novelty of contribution. The findings indicate that LSTM and GRU generally outperform standard RNNs in handling long-term dependencies, while BiLSTM is effective for complex data patterns. However, challenges such as the need for high-quality data, computational complexity, model interpretability, and integration into Energy Management Systems (EMS) remain significant barriers. This study reaffirms the importance of RNN and its variants in energy prediction systems while opening opportunities for further research on hybrid architectures and the development of more user-friendly interfaces.
Perancangan Sistem Informasi Penyewaan Kontrakan Berbasis Website untuk Mendukung Digitalisasi Menajemen Pengelolaan Putri, EE Lailatul; Zain, Zahra Nasywa; Thaariq, Ath; Sofiati, Eka
Jurnal Kajian Teknik Elektro Vol 10, No 2 (2025): JKTE VOL 10 NO 2 (SEPTEMBER 2025)
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/jkte.v10i2.8835

Abstract

The rapid development of information technology has encouraged digitalization in various sectors, including property rental management such as boarding houses. The manual management process often leads to several issues, such as disorganized tenant data, delays in monitoring payments, and errors in calculating late fees. This study aims to design and develop a web-based rental information system that automates tenant data management, payment recording, and real-time financial reporting. The research method used is the Agile Development Method, which includes planning, design, development, testing, and implementation stages. The system was developed using the PHP programming language and a MySQL database, and it can be operated both locally and online. The implementation results show that the system can facilitate tenant data management, automatically calculate late fees, and generate financial reports effectively and efficiently. Based on the testing results, all main features functioned properly according to user requirements. With this system, rental management becomes more structured, transparent, and easily accessible for both landlords and tenants in real-time.