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All Journal Jurnal Manajemen dan Ekonomi Kreatif Mutiara: Jurnal Penelitian dan Karya Ilmiah Jurnal Ekonomi dan Pembangunan Indonesia Management Dynamics: International Journal of Management and Digital Sciences
Herman Fland Dakhi
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Other

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Determinan Pendapatan Pedagang Pasar Tradisional Di Kota Palangka Raya Herman Fland Dakhi; Kezia Tamba; Ristauli Siregar; Arum Widiyasyar; Joel Manurung; Suherman Suherman
Jurnal Manajemen dan Ekonomi Kreatif Vol. 2 No. 1 (2024): Januari : Jurnal Manajemen dan Ekonomi Kreatif
Publisher : Universitas Kristen Indonesia Toraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jumek.v2i1.277

Abstract

This study was conducted with the aim of understanding the elements that influence the income of traditional market traders in Palangka Raya City. The method used in this research is a quantitative method using surveys as a tool for collecting information. The participants in this research are people who work as traders in traditional markets in Palangka Raya City. Research reveals that the income of traditional market traders in Palangka Raya City is influenced by several factors, including market location, type of product sold, and the amount of capital they own. Apart from that, research also reveals that these factors have a strong influence on the income of traders in traditional markets in Palangka Raya City.
Pengaruh Konsumsi Rumah Tangga Terhadap Tingkat Inflasi Di Provinsi Kalimantan Tengah: Pendekatan Uji Kausalitas Granger Herman Fland Dakhi; Arum Widyasyari; Dede Salwa Oktavia; Hery Kristedy; Mahdalena Mahdalena; Novi Novi; Sri Wiyanti; Wahyu Prasetyo; Dicky Perwira Ompusunggu
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 2 No. 1 (2024): Februari : Jurnal Ekonomi dan Pembangunan Indonesia
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jepi.v2i1.263

Abstract

The aim of this research is to analyze the impact of household consumption on the inflation rate in Central Kalimantan from 2018 to 2022 using the Granger causality test approach. Data on household consumption and inflation rates in Central Kalimantan province were obtained from the Central Kalimantan Province Central Statistics Agency. The results of the Granger causality test show that there is no causal relationship between household consumption and inflation. This means that changes in household consumption do not have a statistically significant effect on changes in the inflation rate. The unit root test results also show that the two time series data are not stationary and therefore require further analysis. Overall, the increase in inflation in Central Kalimantan from 2018 to 2022 concluded that it did not provide significant pressure to reduce household consumption. However, to maintain regional economic stability in the future, an appropriate response from the regional government is still needed.
Penguatan Budaya Literasi di SDN Desa Danau Sadar : Upaya Membangun Generasi Berkarakter melalui Literasi Sejak Dini Herman Fland Dakhi; Novitasari Novitasari; Emy Rahayu; Devianna Hutasoit; Ellyn Purwanti; Niken Tri Handayani; Heri Frencus; Kevin G.P Aritonang; Vito Alamo; Natanael Kristanto
Mutiara : Jurnal Penelitian dan Karya Ilmiah Vol. 3 No. 1 (2025): Mutiara : Jurnal Penelitian dan Karya Ilmiah
Publisher : STAI YPIQ BAUBAU, SULAWESI TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59059/mutiara.v3i1.1963

Abstract

This study focuses on strengthening the culture of literacy at SDN Desa Danau Sadar as an effort to build a generation of character through early literacy. Reading literacy, introduction of literacy trees, and the school teaching program are the three main approaches implemented in this program. The results of the study showed a significant increase in students' reading and writing skills, as well as an increase in reading interest. The socialization of reading literacy succeeded in increasing parental awareness and participation in supporting literacy at home. The introduction of literacy trees motivated students to read more books and develop critical thinking skills. The school teaching program provided significant additional academic support, improving student achievement in core subjects. In conclusion, these programs succeeded in creating a conducive learning environment and supporting students' academic and character development.
Leveraging Predictive Analytics to Enhance Supply Chain and Logistics Efficiency: Evidence from Indonesia National E-commerce Achmad Daengs; Herman Fland Dakhi; Varinder Singh Rana
Management Dynamics: International Journal of Management and Digital Sciences Vol. 1 No. 2 (2024): April: International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v1i2.444

Abstract

This study explores the integration of predictive analytics into supply chain management within national e-commerce enterprises. Predictive analytics, which utilizes historical data combined with machine learning algorithms, regression analysis, and time series forecasting, has shown significant improvements in operational efficiency. The study focuses on four key areas: demand forecasting, inventory management, transportation optimization, and customer satisfaction. By predicting demand more accurately, e-commerce platforms can reduce stockouts and overstock situations, streamline logistics routes, and lower logistics costs. The implementation of predictive analytics led to a 20% reduction in delivery times and a 15% decrease in logistics costs, thereby enhancing customer satisfaction. However, the study also highlights challenges in integrating real-time data from multiple sources and scaling predictive models across diverse product categories and geographic regions. The results emphasize the need for e-commerce platforms to invest in technology that enables seamless data integration and the development of region-specific predictive models. The findings are compared with industry benchmarks, showing that the improvements in logistics and supply chain performance align with global trends. Based on these results, the study recommends best practices for implementing predictive analytics, including effective data collection, machine learning model training, and scalability considerations. By following these practices, e-commerce companies can optimize their supply chains, reduce operational costs, and increase customer satisfaction, positioning them for greater competitive advantage in the marketplace.
Co-Authors Achmad Daengs Arum Widiyasyar Arum Widyasyari Dede Salwa Oktavia Devianna Hutasoit Dicky Perwira Ompusunggu Ellyn Purwanti Emy Rahayu Heri Frencus Hery Kristedy Joel Manurung Kevin G.P Aritonang Kezia Tamba Mahdalena Mahdalena Natanael Kristanto Niken Tri Handayani Novi Novi Novitasari Novitasari Ristauli Siregar Sri Wiyanti Suherman Suherman Varinder Singh Rana Vito Alamo Wahyu Prasetyo