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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JIK Jurnal Ilmu Komputer Jurnal Pengabdian Masyarakat AbdiMas ADI Journal on Recent Innovation (AJRI) Journal of Innovation and Future Technology (IFTECH) Aiti: Jurnal Teknologi Informasi IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Manajemen dan Perbankan (JUMPA) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Abdimas Indonesian Journal Jurnal Pengabdian Pancasila (JPP) International Journal of Application on Economics and Business Jurnal Pengabdian Kepada Masyarakat Kesehatan Galuh
Ari Pambudi
Universitas Esa Unggul
Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Other

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FACTORS AFFECTING DIVIDEND POLICY WITH BUSINESS RISK AS MODERATION VARIABLES Hastuti, Rini Tri; Rasyid, Ardhiansyah; Pambudi, Ari
International Journal of Application on Economics and Business Vol. 1 No. 3 (2023): Agustus 2023
Publisher : Graduate Program of Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/ijaeb.v1i3.1146-1156

Abstract

This study aims to determine the effect of liquidity, profitability, growth in assets on dividend policy and also the effect of moderating variables on business risk. The research data is data on manufacturing companies listed on the IDX in the form of financial statements for 2018-2020. The sample was selected using purposive sampling technique and obtained a sample of 38 companies. The research data is panel data which is processed using Eviews 12. The results of this study are profitability has a negative and significant effect on dividend policy. Liquidity and growth in assets have no significant effect on dividend policy. Meanwhile, the moderating variable of business risk can be moderated by weakening the relationship between growth in assets and dividend policy. However, the moderating variable of business risk cannot moderate the relationship between liquidity and profitability to dividend policy.
Rainfall Intensity Prediction Using LSTM and Random Forest Hybrid Model Pambudi, Ari; Aryani, Diah; Sunarto, Ronald Nur
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 1 (2026): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.109189

Abstract

Predicting rainfall accurately is essential for managing water resources and preventing hydrometeorological disasters. The unpredictability of daily rainfall patterns necessitates accurate and effective prediction methods. This study proposes a residual hybrid approach to forecast rainfall using historical rainfall data alone. To record temporal information, a Long Short-Term Memory (LSTM) model is used. patterns in the time series data and generate initial predictions. The residual, defined as the difference between actual values and LSTM predictions, is then used as the intend to use a Random Forest (RF) model for training, which learns the non-linear patterns not effectively captured by the LSTM. Although the dataset includes various meteorological variables such as temperature and humidity, this study uses only rainfall as the main input. The data is split into training and testing sets with an 80:20 ratio. Model performance is evaluated using MAE, MSE, and RMSE, with RMSE as the primary evaluation metric. Experimental results show that the LSTM-RF hybrid model consistently delivers greater accuracy of predictions in comparison to single-model approaches, demonstrating strong potential in improving the reliability of rainfall forecasting based solely on historical data.
ANALISIS FAKTOR SELF-EFFICACY DAN NORMA SUBJEKTIF DALAM PENERIMAAN SISTEM INFORMASI PEMBELAJARAN E-LEARNING Ari Pambudi; Hani Dwi Ariessanti; Fata Nidaul Khasanah; Anggraeni Pratama Indrianto; Ikhsan Nurahman
Journal of Innovation And Future Technology Vol. 8 No. 1 (2026): Vol 8 No 1 (Februari 2026): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/j0m6w536

Abstract

Improvements in information technology have given rise to the phenomenon of using e-learning systems in education. However, the success of e-learning implementation is highly dependent on user acceptance. This research identifies factors that influence tertiary students' interest in using e-learning in Indonesia, by focusing on self-efficacy and subjective norms. By involving 116 respondents and analyzing data using PLS-SEM, this research shows that around 41.5% of the variability in interest in using e-learning can be explained by self-efficacy and subjective norms. The findings show that subjective norms have a greater influence than self-efficacy on interest in using e-learning. These results reinforce the importance of subjective norms as a major factor in e-learning acceptance. This research also highlights the need for further research to understand additional factors that may influence interest in using e-learning in the future.
Transformasi Digital dan Penguatan Tata Kelola UMKM Berbasis Green Business pada Lucky Fingers Cafe Pambudi, Ari; Faridah, Ida; Nurahman, Ikhsan; Indrianto, Anggraeni Pratama
Abdimas Indonesian Journal Vol. 6 No. 1 (2026)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.1287

Abstract

This community service program aims to support the digital transformation and strengthen business governance of Lucky Fingers Cafe as a growing micro, small, and medium enterprise (MSME) through an integrated approach based on green business principles. As the business expands in scale, customer volume, and operational complexity, challenges arise in managing business processes, financial recording, service quality, and environmental responsibility. The assistance was carried out through mentoring and training in the utilization of information systems, improvement of management practices, strengthening of simple accounting records, and recommendations for the use of environmentally friendly packaging. The methods included initial needs assessment, implementation of mentoring sessions, practical guidance, and evaluation of business practices. The results show an improvement in the partner’s understanding and application of digital tools, more structured financial management, better operational organization, and increased awareness of sustainable business practices. The adoption of green packaging is expected to enhance the business image and align the enterprise with environmentally conscious consumer trends. This program demonstrates that integrated assistance combining digitalization, governance strengthening, and sustainability can effectively support the growth and competitiveness of MSMEs.
Co-Authors Abi Saptadinata Agus Satriawan Ahmad Fuad Akbar, Habibullah Anggraeni Pratama Indrianto Arief Kusuma Budy Wiryawan Diah Aryani, Diah Erry Yudhya Mulyani Faridah, Ida Fata Nidaul Khasanah Hani Dwi Ariessanti Hurairah Pakaya Ichwanudin, Muhammad Ikbal Rachmat Ikhsan Nurahman Illah Sailah Imam Yuwono Indrianto, Anggraeni Pratama Irawan, Bambang Marwan, Rudi Heri Nefianto, Tirton Nizirwan Anwar Nugroho, Tezar Mega Nurahman, Ikhsan Primasatria Edastama, Primasatria Randy Swandy Rasyid, Ardhiansyah Rini Tri Hastuti Riya Widayanti Sunarto, Ronald Nur Tarigan, Mazmur Theresia Theresia Ummanah Ummanah, Ummanah Wijaya, Rahmat Wilson, Oliver Yulhendri Yulhendri Yuliati - Yuliati Yuliati Zanubiya, Jihan