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EVALUASI PERFORMA METODE LONG SHORT TERM MEMORY (LSTM) DAN RECURRENT NEURAL NETWORK (RNN) PADA ANALISIS SENTIMEN KOMENTAR PENGGUNA APLIKASI KITALULUS Nurzaenab, Nurzaenab; Maslihatin, Tatik; Halid, Agus; Muniar, Andi Yulia; Sabir, Fitriana M.; Parawewe, Andi Maulidinnawati Abdul Kadir; Awaliah, Neneng; Halfiani, Halfiani
JTRISTE Vol 12 No 1 (2025): JTRISTE
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/jtriste.v12i1.614

Abstract

Sentiment analysis is one of the essential techniques in natural language processing for identifying user opinions toward a product or service. This study aims to evaluate the performance of the Long Short Term Memory (LSTM) and Recurrent Neural Network (RNN) methods in sentiment analysis of user comments on the Kitalulus application. A total of 2,500 comments collected from user reviews were utilized and underwent several preprocessing stages, including case folding, tokenization, stopword removal, stemming, and padding. The processed data were then trained using both RNN and LSTM models with similar architectural configurations. The experimental results show that the LSTM method outperforms RNN, achieving the highest accuracy of 91.51%, while RNN attained 88.48%. These findings demonstrate that LSTM is more effective in capturing long-term dependencies in textual data, making it more suitable for sentiment analysis of user comments on the application.
Edukasi Penyebaran Covid-19 dan Pembagian Masker Dalam Upaya Mencegah Penyebaran Covid-19 Markani, Markani; Sulehu, Marwah; Ratnawati, Ratnawati; Syamsu, Suryadi; Awaliah, Neneng
Insan Cita : Jurnal Pengabdian Kepada Masyarakat Vol 5, No 2 (2023): Agustus 2023 - Insan Cita: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32662/insancita.v5i2.1650

Abstract

The spread of Covid-19 has become a concern for both the public and the government. With the increasing rate of spread, the government is more responsive and issued various policies. One of the government's policies to suppress the spread of the corona virus is the use of masks outside the home. This requires people to always wear masks and pay attention to their respective health. In accordance with the analysis in the field, there are still many residents who do not care about the use of masks, so it is necessary to provide education about the dangers of transmitting COVID-19 if they do not use masks outside the home. The method used in this activity is the lecture method to residents and the direct distribution of masks to residents and the distribution of masks to the nearest hospital from the campus location. As a result, residents who previously did not use masks immediately use them right away so they can know the importance of using masks in suppressing the spread of the COVID-19 virus.
Perancangan Sistem Customer Relationship Management Berbasis Web Ardiansyah, Ardiansyah; Askar, Askar; Mashud, Mashud; Awaliah, Neneng
Jurnal Ilmiah Sistem Informasi Vol. 4 No. 1 (2025): Januari : Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/kys0sw90

Abstract

The development of information technology today is much faster than in previous years, making business people required to follow developments by implementing technology and communication intensively in various sectors. Customer Relationship Management (CRM) is one important aspect in building good relationships between companies and customers.The aims of the study were  to design and implement a web-based CRM system that suits the needs of this company, a company that is engaged in the production and sales of furniture. The data was obtained through (1) field research, (2) library research, and (3)  The method used in the research is the waterfall system development method by using PHP and MySQL programming languages The results of the study indicate that this system has an average presentation value of 84.07%, indicating that the system is very feasible to implement. This system is able to increase interaction and communication with customers, which in turn significantly increases customer satisfaction and improves the quality of service overall. Thus, this system can be the right solution for this company in overcoming the challenges in the increasingly competitive business era and achieving competitive advantage in the furniture industry.
Pembelajaran Sex Education dengan Berbagai Media Pembelajaran pada Siswa TK Aisyiyah 1 Tidung Angriawan, Randy; B, Angelin Marici; Takaya, Stefany Marici; Ilyas, Salsabila Ayu Qhairunnisa; Kastro, Yohanes Angelo; Nuralisa, St; Nurzaenab, Nurzaenab Angelo; Mashud, Mashud; Awaliah, Neneng; Sabir, Fitriana M; Syamsu, Suryadi
LESTARI : Jurnal Pengabdian Kepada Masyarakat Vol 2 No 2 (2024): LESTARI : Jurnal Pengabdian Kepada Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Muslim Maros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46918/lestari.v2i2.2306

Abstract

The golden age of early childhood is a critical period for establishing a foundation in intellectual and health understanding, including sex education. According to Article 28 Paragraph 1 of Law Number 20 of 2003 concerning the National Education System, sex education for young children is crucial for advancing the intellectual development of the younger generation. However, observations at Aisyiyah Kindergarten in Makassar City revealed that sex education had never been provided, resulting in a lack of understanding among students. To address this issue, a Community Service activity was conducted at Aisyiyah Kindergarten using robotics-based learning technology, including robot voices, songs, images in PowerPoint format, and teaching books. This program aims to enhance students' knowledge and understanding of sex education through interactive and enjoyable learning methods. Pre-test results showed only 24.4% correct answers from 18 participants, while post-test results after five days of learning showed a significant increase to 88.2% correct answers from 22 participants. These results indicate that the use of robotics technology in education can effectively increase students' learning interest and understanding. This program is expected to serve as a learning model that can be applied in various early childhood education institutions to improve the quality of education and children's understanding in the aspect of sex education
A Mobile Based Accounting Application Design for MSMEs using the RAD Method Mashud, Mashud; Aisa, Sitti; Awaliah, Neneng; Rahman, Fery Fadul
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8559

Abstract

Digital transformation in the Micro, Small, and Medium Enterprises (MSMEs) sector has become a strategic necessity to improve the efficiency and transparency of financial management. This study aims to design and test a mobile-based accounting system that can support the digital recording, reporting, and financial management processes of MSMEs. The method used is Research and Development (R&D) with the Waterfall model, which includes the stages of needs analysis, system design using the Unified Modeling Language (UML) and functional testing using the Black Box Testing method. The results of the study indicate that all main features, including user registration, transaction recording, automatic reports, and multi-user management, function validly and according to functional specifications. Thus, the system can meet the basic accounting needs of MSMEs with a simple interface and real-time access via mobile devices. Practically, the results of this study produce a prototype of a mobile accounting application that can be implemented directly by MSMEs. Theoretically, this study enriches the literature on digital transformation in MSME accounting systems, while also serving as a basis for further development that includes data security features and artificial intelligence-based analytics.