Claim Missing Document
Check
Articles

Found 2 Documents
Search

ANALISIS POTENSI REVENUE STREAMS PERUMDA TIRTA PAKUAN KOTA BOGOR: DIVERSIFIKASI SAAT INI DAN MASA DEPAN Maimunah, Siti; Tampubolon, Radjab; Alviyanti, Ramadita Nur; Faizah, Annissa Nur
JIAFE (Jurnal Ilmiah Akuntansi Fakultas Ekonomi) Vol 10, No 2 (2024): Vol 10, No. 2 (2024)
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34204/jiafe.v10i2.10870

Abstract

ABSTRAK Penelitian ini bertujuan untuk menganalisis diversifikasi pendapatan saat ini dan potensi masa depan melalui analisis aliran pendapatan untuk meningkatkan kinerja keuangan PERUMDA Tirta Pakuan. Penelitian ini menggunakan metode analisis SEM-PLS untuk menguji pengaruh aliran pendapatan terhadap profitabilitas, likuiditas, solvabilitas dan kinerja aktivitas serta metode peramalan menggunakan Model Linier Holt untuk melihat potensi diversifikasi aliran pendapatan dalam sepuluh tahun ke depan. Hasil penelitian menunjukkan bahwa terdapat pengaruh diversifikasi aliran pendapatan terhadap kinerja aktivitas, namun tidak terdapat pengaruh aliran pendapatan terhadap kinerja profitabilitas, likuiditas dan solvabilitas. Hasil prediksi aliran pendapatan memberikan gambaran pertumbuhan yang optimis dengan menunjukkan tren peningkatan yang konsisten setiap tahunnya pada tahun 2024 hingga tahun 2033 yang menunjukkan bahwa pendapatan PERUMDA Tirta Pakuan Kota Bogor diproyeksikan akan terus tumbuh pada dekade berikutnya. Implikasi dari penelitian ini adalah para pemangku kepentingan dapat menggunakan hasil penelitian ini sebagai dasar dalam menentukan strategi yang tepat mengembangkan diversifikasi arus pendapatan dan meningkatkan kinerja keuangan PERUMDA Tirta Pakuan Kota Bogor. ABSTRACT This research aims to analyze current income diversification and future potential through income stream analysis to improve the financial performance of PERUMDA Tirta Pakuan. This research uses the SEM-PLS analysis method to examine the effect of income streams on profitability, liquidity, solvency, and activity performance and a forecasting method using the Holt Linear Model to see the potential for diversification of income streams in the next ten years. The research results show an influence of income stream diversification on activity performance, but income streams do not influence profitability, liquidity, and solvency performance. The income stream prediction results provide an optimistic growth picture by showing a consistent increasing trend every year from 2024 to 2033. This indicates that PERUMDA Tirta Pakuan Bogor City's income is projected to grow in the next decade. This research implies that stakeholders can use the results of this research as a basis for determining appropriate strategies to develop diversification of income streams and improve the financial performance of PERUMDA Tirta Pakuan, Bogor City.
Capacity Building Of Rural Society: The Contribution Of Pakuan University's Students In Enhancing Community Empowerment In Paseban Village Sabila, Nova Putri; Larasati, Eliza; Kusumawardani, Shabriena Nindya; Faizah, Annissa Nur; Ryanti, Delva; Andria, Fredi
International Journal of Research in Community Services Vol. 5 No. 1 (2024)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v5i1.559

Abstract

In the era of globalization, adapting to changes is crucial for individuals to compete in business development. Saung Lebah Madu Paseban, located in the village of Paseban, Megamendung, faces challenges due to limited human resource utilization attributed to a lack of skills, knowledge, and motivation among the locals. To address these issues, the community is being empowered through direct training and coaching activities, including practical sessions on making honey-based products like soap, jelly, and aromatherapy candles. Additionally, residents receive training in marketing and finance. The success of this empowerment initiative depends on the active participation and determination of the community members. Questionnaires distributed before and after the training sessions reveal that a significant number of individuals have genuinely benefited from the activities. The training outcomes demonstrate a clear improvement in the understanding and abilities of the participants, as evidenced by their honest feedback. Utilizing clustering analysis with the K-Means algorithm, participants are grouped into clusters based on their knowledge levels—cluster 1 (High Knowledge) and cluster 2 (Low Knowledge). Overall, the training not only enhances the community's understanding but also equips them with the skills to produce high-quality honey derivative products.