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All Journal Ekuitas: Jurnal Pendidikan Ekonomi Jurnal Informatika dan Teknik Elektro Terapan JUSTIN (Jurnal Sistem dan Teknologi Informasi) Ekuitas Jurnal Pnedidikan Ekonomi
Pujayanti, Putu Gita
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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Optimizing Banking Investments: Financial technology, Rates, Dividends & CSR Impact Pujayanti, Putu Gita; Musmini, Lucy Sri; Sujana , Edy
Ekuitas: Jurnal Pendidikan Ekonomi Vol. 12 No. 2 (2024)
Publisher : Fakultas Ekonomi Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ekuitas.v12i2.86836

Abstract

This study aims to provide empirical evidence on the influence of Financial Technology, interest rates, and dividend policy, all of which are significant factors in investment decision-making, with Corporate Social Responsibility (CSR) as a moderating variable. The study employs a quantitative approach and multiple linear regression analysis. The research sample consists of 47 banking companies listed on the Indonesia Stock Exchange (IDX), with 80 secondary data points collected from 16 samples over the 2019-2023 period. The novelty of this research lies in utilizing CSR as a moderating variable and employing STATA as the testing tool. The findings reveal that Financial Technology and interest rates do not have a significant impact on investment decisions, and CSR is not effective in moderating the relationships between Financial Technology, interest rates, and dividend policy. However, dividend policy has a significant influence on investment decisions. These findings provide valuable insights for company management, serving as a foundation for more informed investment decision-making processe.
Optimizing Banking Investments: Financial technology, Rates, Dividends & CSR Impact Pujayanti, Putu Gita; Musmini, Lucy Sri; Sujana , Edy
Ekuitas: Jurnal Pendidikan Ekonomi Vol. 12 No. 2 (2024)
Publisher : Fakultas Ekonomi Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ekuitas.v12i2.86836

Abstract

This study aims to provide empirical evidence on the influence of Financial Technology, interest rates, and dividend policy, all of which are significant factors in investment decision-making, with Corporate Social Responsibility (CSR) as a moderating variable. The study employs a quantitative approach and multiple linear regression analysis. The research sample consists of 47 banking companies listed on the Indonesia Stock Exchange (IDX), with 80 secondary data points collected from 16 samples over the 2019-2023 period. The novelty of this research lies in utilizing CSR as a moderating variable and employing STATA as the testing tool. The findings reveal that Financial Technology and interest rates do not have a significant impact on investment decisions, and CSR is not effective in moderating the relationships between Financial Technology, interest rates, and dividend policy. However, dividend policy has a significant influence on investment decisions. These findings provide valuable insights for company management, serving as a foundation for more informed investment decision-making processe.
PERANCANGAN TAMPILAN APLIKASI DOMPET DIGITAL BERBASIS MOBILE DENGAN PENDEKATAN HUMAN-CENTERED DESIGN Dananjaya, Md Wira Putra; Pujayanti, Putu Gita
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i1.3800

Abstract

This research aims to design and develop the user interface of a mobile-based digital wallet application using the Human-Centered Design (HCD) approach. The HCD method is employed to prioritize user needs and preferences in the application interface development. The application prototype includes features such as transaction tracking, budget management, and financial reporting, with the goal of enhancing the user experience in personal financial management. The development process involves design iterations based on user feedback to ensure the interface aligns with user expectations and needs. Usability testing results using the System Usability Scale (SUS) indicate a positive score of 75.6, signifying good acceptance of the application interface. The practical implications of this research are to provide more effective design guidelines for the development of digital wallet applications that consider user comfort and needs.
Analisis Prediksi Produksi Telur Menggunakan Algoritma Decision Tree Regression Dananjaya, Md. Wira Putra; Pujayanti, Putu Gita
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 14, No 1 (2026)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v14i1.92550

Abstract

Produksi telur merupakan salah satu sektor penting dalam industri peternakan yang memiliki dampak signifikan terhadap ketahanan pangan. Namun, prediksi produksi telur yang akurat masih menjadi tantangan, mengingat banyaknya faktor yang mempengaruhi hasil produksi. Kesalahan prediksi, sekecil apapun, dapat berdampak langsung pada manajemen inventaris, fluktuasi harga, dan efisiensi rantai pasok. Penelitian ini bertujuan untuk mengembangkan model prediksi produksi telur menggunakan algoritma Decision Tree Regression. Kontribusi unik dari model ini adalah kemampuannya sebagai 'white-box' yang tidak hanya memberikan akurasi prediksi, tetapi juga wawasan berupa aturan keputusan yang dapat diinterpretasi (interpretable) oleh peternak, dengan memanfaatkan data terkait faktor-faktor yang mempengaruhi produksi, seperti jumlah ayam, usia ayam, suhu, kelembaban, pakan, dan waktu. Dalam penelitian ini, data yang digunakan berjumlah 250 data poin yang mencakup variabel-variabel yang relevan. Model yang dibangun menunjukkan hasil yang cukup baik dengan nilai R² sebesar 0.88, yang mengindikasikan bahwa model mampu menjelaskan sekitar 88% variansi dalam data. Meskipun nilai Mean Squared Error (MSE) yang dihasilkan sebesar 2427.33, menunjukkan adanya beberapa kesalahan prediksi, model ini secara keseluruhan memberikan hasil yang akurat dalam memprediksi produksi telur. Perbandingan antara nilai aktual dan prediksi menunjukkan bahwa sebagian besar prediksi cukup mendekati nilai aktual. Hasil dari penelitian ini menunjukkan bahwa algoritma Decision Tree Regression dapat menjadi alat yang efektif untuk memprediksi produksi telur, memberikan manfaat dalam pengambilan keputusan di sektor peternakan. Akurasi model ini krusial untuk membantu peternak mengoptimalkan jadwal produksi dan alokasi sumber daya. Meskipun model ini memberikan hasil yang memadai, penelitian lebih lanjut perlu dilakukan dengan tuning hyperparameter, penggunaan algoritma lain, serta peningkatan jumlah data untuk memperbaiki akurasi model. Penelitian ini diharapkan dapat memberikan kontribusi untuk peningkatan efisiensi dalam industri peternakan telur.
Co-Authors Dananjaya, Md Wira Putra Dananjaya, Md. Wira Putra Lucy Sri Musmini Sujana , Edy