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COMPULSIVE BUYING AND DEBT BEHAVIOR (DISSAVING) OF MILLENNIAL GENERATION IN DENPASAR CITY NOVITASARI, I GUSTI AYU
GANEC SWARA Vol 17, No 4 (2023): Desember 2023
Publisher : Universitas Mahasaraswati K. Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35327/gara.v17i4.633

Abstract

The tendency to take debt for consumptive buying is a habit that is often carried out by the millennial generation. Study aiming to analyze the link between compulsive buying with debt behavior in the millennial generation in Denpasar City with a sample of 200 respondents. Data collection through the distribution of google form questionnaires. Statistical analysis using multiple linear regression. Study found that compulsive buying has positive significant effect towards debt behaviour
Pengaruh Kepemimpinan, Insentif, dan Motivasi Pada Kinerja Pegawai Bidang Akuntansi (Studi Pada Pemerintah Kabupaten Buleleng) Manubawa, Ida Bagus Gde Adi; Novitasari, I Gusti Ayu; Masari, Ni Made Galih
Reviu Akuntansi, Manajemen, dan Bisnis Vol. 5 No. 1 (2025): Juni
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/rambis.v5i1.4375

Abstract

Purpose: This investigate looks for to look at the affect of authority, motivations, and inspiration on the execution of bookkeeping staff within the Government of Buleleng Rule. Methodology: The inquire about utilizes a quantitative approach utilizing nonprobability examining, particularly purposive examining. The information were gotten through surveys disseminated to 40 bookkeeping workers over different Territorial Government Organizations (OPD) in Buleleng Rule. The collected information were at that point analyzed utilizing numerous straight relapse with the help of SPSS adaptation 25 computer program. Result: The discoveries of the ponder demonstrate that authority, motivating forces, and inspiration have a positive and noteworthy affect on worker execution, both independently and at the same time. This demonstrates that good leadership, appropriate incentive schemes, and high motivation contribute to increased employee productivity and performance. Limitations: Be that as it may, the think about isn't without restrictions, because it is based on a generally little test measure and its center on a single rule. Contribution: In any case, the study's discoveries offer important commitments to the spaces of bookkeeping, human resource management, and public administration, particularly in the context of enhancing government employee management strategies. Moreover, the research serves as a valuable reference for local governments in formulating policies aimed at enhancing employee performance through the implementation of effective leadership, appropriate incentives, and motivation.
Application of Ant Colony Optimization on CVRP for Waste Collection Route Optimization in Marga Village Arimbawa K, Ida Bagus Kade Puja; Novitasari, I Gusti Ayu; Permana, Putu Nanda Andika
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7006

Abstract

Marga Village, located in Marga District, Tabanan Regency, faces significant challenges in waste management due to the absence of a structured schedule and route for waste collection, leading to inefficiencies, high operational costs, infrastructure risks, and public health concerns. These issues are further exacerbated by population growth and spatial expansion, which continually increase waste volume. This study aims to optimize waste collection routes in Marga Village by applying the Capacitated Vehicle Routing Problem (CVRP) approach using the Ant Colony Optimization (ACO) algorithm to identify the most efficient and sustainable shortest route. The simulation considered two main constraints: a maximum vehicle capacity of 1.2 m³ and an average waste volume per point ranging from 0.04 to 0.2 m³, ensuring load feasibility. The model was tested with 10 ants over 10 iterations, with temporary disposal points located at a? (Banjar Lebah) and c? (Banjar Beng) before transportation to TPS3R. Algorithm parameters were set at ? = 1.0 for pheromone influence and ? = 5.0 for visibility, while the pheromone evaporation rate (?) was set to 0.5 and Q = 100 was used to reinforce optimal paths. The results demonstrate that ACO can effectively solve CVRP in waste collection, offering a data-driven solution to improve route efficiency and support sustainable urban waste management planning.