Mega Sapitri, Nonik
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Pelatihan Penggunaan LaTeX Untuk Penulisan Skripsi Bagi Mahasiswa Program Studi Sarjana Matematika FMIPA Universitas Lampung Mega Sapitri, Nonik; Sawitri, Riza; Wamiliana; Abdurrahman, Ahmad Faruq
ABDI AKOMMEDIA : JURNAL PENGABDIAN MASYARAKAT Vol. 2 No. 4 (2024)
Publisher : ABDI AKOMMEDIA : JURNAL PENGABDIAN MASYARAKAT

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The purpose of this community service activity is to improve the ability of students of the Bachelor of Mathematics Study Program FMIPA University of Lampung to use LaTeX for thesis writing. LaTeX was chosen because it is able to produce documents with a professional format, especially in managing mathematical equations and document layout. The training was held on October 24, 2024 at the Computer Laboratory ofthe Mathematics Department with 19 fifth semester students participating. The methods used include providing training modules, using LaTeX-based thesis templates, and hands-on practice using the Overleaf platform. The training results showed that 95% of participants recognized theimportance of using LaTeX, with 93% feeling satisfied with the training implementation. However, time efficiency was evaluated with a score of 80%, indicating the need for further training. Participants showed high enthusiasm and were able to practice LaTeX features, including table creation and writing mathematical equations. Through this training, students are equipped with technical skills to produce a thesis that is not only content-quality but also meets academic standards. Thus, this activity supports the strengthening of student competencies while supporting the University of Lampung as a higher education institution that excels in academics and research.
Teknologi dan Kreativitas dalam Wirausaha Bagi Siswa Madrasah Aliyah (MA) Ma’arif Kotagajah Lampung Tengah Widiyanti, Ade; Russel, Edwin; Sawitri, Riza; Mega Sapitri, Nonik; Andrade Paskalia M, Felicia
ABDI AKOMMEDIA : JURNAL PENGABDIAN MASYARAKAT Vol. 2 No. 4 (2024)
Publisher : ABDI AKOMMEDIA : JURNAL PENGABDIAN MASYARAKAT

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The rapid development of information technology has brought significant changes in various fields, including the business world. This provides students with the opportunity to engage in the digital-based business world. Many students of Madrasah Aliyah (MA) Ma'arif Kotagajah, Lampung Tengah are interested in entrepreneurship. However, it is still hindered by limitations in utilizing technology and creativity to develop businesses and ventures. Therefore, this community service activity is conducted in the form of training aimed at improving students' understanding and skills. This entrepreneurship training emphasizes the use of digital technology and student creativity in entrepreneurship. The methods used include lectures, discussions, and hands-on practice related to digital marketing, digital financial management, and the development of innovative business ideas. This training is expected to equip students with practical and adaptive skills, and be prepared to compete in the modern business world.
Implementasi Deep Learning Pemodelan Pergerakan Harga Saham dalam Time Series Mega Sapitri, Nonik; Sawitri, Riza; Russel, Edwin
Jurnal Bisantara Informatika Vol. 8 No. 2 (2024): Jurnal Bisantara Informatika (JBI) Vol. 8 No. 2 Tahun 2024
Publisher : Akademi Manajemen Informatika dan Komputer PARBINA NUSANTARA Pematangsiantar

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Pergerakan harga saham sulit untuk ditebak akan arah kelajuannya. Oleh karena itu, diperlukan metode yang dapat memodelkan pergerakan harga saham tersebut supaya mempermudah investor untuk pengambilan keputusan dalam berinvestasi. Salah satu metode yang dapat digunakan adalah pemodelan time series pergerakan harga saham dengan Deep Learning. Terlebih dahulu akan dilihat Autocorrelation Function (ACF) untuk menentukan data saham berupa stasioner atau nonstasioner. Selanjutnya, akan ditentukan beberapa parameter yang dapat mempengaruhi akurasi prediksi pergerakan harga saham. Hasil prediksi pergerakan harga saham yang baik adalah tidak terjadinya overfitting pada model dan juga memberikan hasil data prediksi yang mendekati data aktual. Hal ini dapat dilihat berdasarkan selisih yang kecil antara MSE training dan MSE testing.