Article Per Year (5 Year)
p-Index From 2019 - 2024
0.61
P-Index
This Author published in this journals
All Journal Jurnal Teknik Industri Terintegrasi (JUTIN) Dedikasi: Jurnal Pengabdian Pendidikan dan Teknologi Masyarakat Journal of Digital Community Services
Lailatul Syifa Tanjung
Universitas Pahlawan Tuanku Tambusai
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Comparison Random Forest Regression and Linear Regression For Forecasting BBCA Stock Price Arif Mudi Priyatno; Lailatul Syifa Tanjung; Wahyu Febri Ramadhan; Putri Cholidhazia; Putri Zulia Jati; Fahmi Iqbal Firmananda
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 3 (2023): July 2023
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i3.16933

Abstract

Stock trading is a popular financial instrument worldwide. In Indonesia, the stock market is known as the Indonesia Stock Exchange (BEI), and one actively traded stock is PT Bank Central Asia (BBCA). However, predicting stock price movements is challenging due to various influencing factors. Investors use fundamental and technical analyses for decision-making, but results often vary. Machine learning, particularly random forest regression and linear regression algorithms, can be used for stock price forecasting. In this paper, we compares these two machine learning methods to forecast BBCA stock prices, aiming to provide more accurate and effective solutions for investor's investment and trading decisions. The evaluation results of cross-validation mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) for linear regression were 0.12848, 0.35807, 0.29570, and 0.0036%, respectively, while for random forest regression were 27473.76, 158.04, 142.70, and 1.7153%. These findings indicate that linear regression outperforms in forecasting performance.
Pendampingan Pembuatan Website Desa Gunung Malelo untuk Mempermudah Penyebaran Informasi Desa Arif Mudi Priyatno; Fahmi Iqbal Firmananda; Wahyu Febri Ramadhan; Mohd Winario; Putri Zulia Jati; Lailatul Syifa Tanjung
Dedikasi: Jurnal Pengabdian Pendidikan dan Teknologi Masyarakat Vol. 1 No. 2 (2023): Volume 1 Nomor 2, Page: 42 - 100
Publisher : FKIP - Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/dedikasi.v1i2.20

Abstract

Penyebaran informasi yang efektif merupakan aspek penting dalam pembangunan desa yang inklusif dan berkelanjutan. Dalam konteks tersebut, kegiatan pengabdian masyarakat ini dilakukan dengan tujuan untuk mempermudah penyebaran informasi desa melalui pendampingan pembuatan website Desa Gunung Malelo. Desa Gunung Malelo memiliki potensi pariwisata, perkebunan, dan pertanian, namun masih menghadapi tantangan dalam penyebaran informasi kepada masyarakat setempat. Melalui metode pendampingan yang terstruktur, kegiatan ini melibatkan analisis kebutuhan, pembentukan tim pendamping, pelatihan, pembangunan website desa, pelatihan pengelolaan konten, dan pendampingan teknis. Tim pendamping terdiri dari ahli teknologi informasi, pengembang web, dan fasilitator komunitas. Hasil dari kegiatan ini adalah terwujudnya sebuah website desa yang fungsional dan responsif. Masyarakat Desa Gunung Malelo dapat dengan mudah mengakses informasi penting seperti pengumuman pemerintah desa, kegiatan sosial, informasi kesehatan, jadwal pertemuan, dan layanan publik melalui website tersebut. Pendampingan dan pelatihan yang dilakukan membantu meningkatkan kapasitas sumber daya manusia di desa dalam mengelola dan memperbaharui konten website secara mandiri. Kegiatan ini berhasil mencapai tujuan utama, yaitu mempermudah penyebaran informasi desa. Desa Gunung Malelo mengalami peningkatan aksesibilitas informasi, partisipasi masyarakat, dan pengelolaan konten website yang berkelanjutan. Melalui pengabdian masyarakat ini, terjadi perubahan positif dalam dinamika komunikasi dan pengembangan desa, menuju arah yang lebih maju, terhubung, dan inklusif.
Penyuluhan Tentang Dampak Positif Penggunaan Gadget Bagi Anak Usia Dini Hidayati Rusnedy; Lailatul Syifa Tanjung; Hidayat Hidayat; Arif Mudi Priyatno
Journal of Digital Community Services Vol. 1 No. 2 (2024): July
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/dcs.v1i2.7

Abstract

The Golden Age period is for children aged 0-6 years, where during this period children's development develops rapidly and must develop well, this is because during this period children have potential in something and have a very great curiosity. It is seen that children often wonder about what they see. The use of gadgets, especially smartphones and tablets in early childhood, has now become a public concern. The reason is, gadgets have become a necessity for society and even children. Gadgets are technology that have very interesting applications and features, such as games and videos that children really like. Most parents do not pay attention to and regulate their children's use of gadgets and sometimes parents do not realize that their children are addicted to gadgets. This outreach aims to provide knowledge to parents and teachers that if the use of gadgets is carried out with supervision and used properly it will have a positive impact which is very useful for children's development, be it physical, emotional and intelligence development
Co-Authors Arif Mudi Priyatno Fahmi Iqbal Firmananda Hidayat Hidayat Hidayati Rusnedy Putri Cholidhazia Putri Zulia Jati Wahyu Febri Ramadhan Sudirman Winario, Mohd.