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All Journal Bulletin of Information Technology (BIT) Journal of Research and Publication Innovation AMMA : Jurnal Pengabdian Masyarakat
Uliyatunisa
Universitas Pamulang
Humanities Chemistry Computer Science & IT Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing Social Sciences Other

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PELATIHAN DASAR MICROSOFT WORD UNTUK BELAJAR SISWA Farah Cahyana Ramadhani; Anggra Priambodho; Aldy Muhajar; Bagas Saputra; Farhan Haidar Rabbani; Irkham Shohibul Latif; Laita Rahmadila; Muhammad Aditiya; Muhammad Aryo Ramdhani; Rizki Nurhidayat; Uliyatunisa; Andi Romansyah
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 01 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

SMP Muhammadiyah Serpong merupakan Sekolah Menengah Pertama yang berada di Kel.Serpong.,Kec.setu,.Kota Tangerang Selatan., Provinsi. Banten. Banyaknya kegiatan di SMP Muhammadiyah Serpong dan pembelajaran yang belum memasuki materi tentang Microsoft Word dasar serta pengenalan Microsoft Word. Untuk mengatasi masalah tersebut dibutuhkan pengenalan dan pemahaman tentang Microsoft Word yang dapat digunakan dengan mudah dan juga bermanfaat bagi siswa dan siswi di waktu yang akan dating. Serta juga dapat memberikan sebuah pemahaman yang tepat, cepat dan akurat tentang bagaimana cara kegunaan Microsoft Word. Karena dari hal ini kami memberi Pengenalan dan Pemahaman Microsoft Word sejak dini dengan melakukan pelatihan pembuatan Makalah serta membuat Karya Tulis. Dengan hal ini kami bertujuan untuk memberikan pembelajaran dasar bagi siswa dan siswi SMP Muhammadiyah Serpong agar dapat memberikan bekal berupa materi dan praktek dalam suatu kegiatan, serta juga akan mempermudah siswa dan siswi dalam melakukan penyusunan Makalah serta Karya Tulis. Dengan adanya pengenalan dan pemhamanan Microsoft Word dapat mempermudah siswa dan siswi dalam membuat Makalah dan Karya Tulis secara efektif dan efisien. Kata Kunci: Pembelajaran, Microsoft Word, Microsoft Office, Pelatihan
Komparasi Model LSTM dan CNN-LSTM untuk Peramalan Curah Hujan di Kota Tangerang Selatan Uliyatunisa; Dahlan Supriatna
Bulletin of Information Technology (BIT) Vol 6 No 3: September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i3.2235

Abstract

This study compares the performance of Long Short-Term Memory (LSTM) and Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) models for daily rainfall forecasting in South Tangerang City using meteorological data from January 2005 to July 2025. Data from official meteorological stations was processed with mean imputation for missing values and MinMaxScaler normalization. Models were evaluated based on Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Squared Error (MSE), and coefficient of determination R². Results show CNN-LSTM outperforms with RMSE 0.79, MAE 0.63, MSE 0.62, and R² 0.61, compared to LSTM (RMSE 0.83, MAE 0.60, MSE 0.68, R² 0.58). Prediction visualizations confirm CNN-LSTM's accuracy in capturing extreme patterns, with statistically significant differences via t-test. The novelty lies in using a long-term (20-year) dataset for tropical Indonesia, demonstrating the hybrid model's efficacy for complex spatio-temporal predictions. Findings support flood early warning systems and water resource management, recommending additional climate variable integration for further development.
PERANCANGAN SISTEM PENDATAAN USAHA MIKRO KECIL MENENGAH UMKM MENGGUNAKAN FRAMEWORK LARAVEL DI DESA BOJONG INDAH KECAMATAN PARUNG Budi Apriyanto; Bagas Setiyaki Wicaksono; Uliyatunisa
Journal of Research and Publication Innovation Vol 4 No 1 (2026): JANUARY
Publisher : Journal of Research and Publication Innovation

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Abstract

Bojong Indah Village is a village located in Parung District, Bogor Regency, West Java Province. This village has not utilized information technology in processing MSME (UMKM) data, resulting in a lack of security, long data collection times, data irregularity, and limitations in retrieving information. The lack of database system utilization also has the potential to cause data loss. Therefore, system development is needed to facilitate MSME data processing to improve services. The purpose of this study is to provide proposals in the form of input or ideas for improving the MSME data management system so that it can support the creation of good data management by utilizing advances in information and communication technology. This study resulted in a web-based population data information system. This system effectively manages population data in a structured and user-friendly manner. The advantages of this system include automated and efficient population data management, reducing human error and management time.
Co-Authors Aldy Muhajar Andi Romansyah Anggra Priambodho Bagas Saputra Bagas Setiyaki Wicaksono Budi Apriyanto Dahlan Supriatna Farah Cahyana Ramadhani Farhan Haidar Rabbani Irkham Shohibul Latif Laita Rahmadila Muhammad Aditiya Muhammad Aryo Ramdhani Rizki Nurhidayat