Ahmad Albar Tanjung
Sekolah Tinggi Ilmu Manajemen Sukma, Medan, Indonesia

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Analysis of Digital Economy Determinants in Indonesia Ahmad Albar Tanjung; Muliyani Muliyani; Nurhayati Nurhayati; Mutiara Y. Br. Ginting; Wulan Fitri Nasution
Quantitative Economics and Management Studies Vol. 4 No. 6 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems1982

Abstract

The aims of this research is to determine the digital economy in Indonesia which consist of e-commerce, financial technology, and the number of internet users. This research was descriptive statistical method and using panel data regression model. The period of this research starts from 2020-2022 with cross-sectional data from 34 provinces in Indonesia. The data was collected from the Central Bureau of Statistics and East Ventures. The results of this study indicate that e-commerce has a positive and significant effect on the digital economy, financial technology has a positive and significant effect on the digital economy, the number of internet users has a positive and insignificant effect on the digital economy in Indonesia. This research provides a new insight of the role of e-commerce in economic growth and the importance of government policy and intervention in promoting local products on various e-commerce platforms. The low level of digital literacy in Indonesia required the role of academics and practitioners to participate in establish a smart technology society.
Analysis of Employee Assignment Costs of Gemoy Billiard And Coffee Shop Using the Assignment Model Method Jovan Martin Nababan; Anggie Joely Artikha; Lita Angel Lina Nainggolan; Ahmad Albar Tanjung
JUMEBIN : Journal of Management, Economics, Business, and Investment Vol. 1 No. 1 (2025): June 2025
Publisher : PT Katersi Minar Permata

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Abstract

The purpose of this study is to understand the differences in problem-solving ability and character among employees in a corporate environment. This study also discusses the differences between Manda and Riki, as well as PanThe purpose of this study is to understand the differences in problem-solving ability and character among employees in a corporate environment. This study also addresses the differences between Manda and Riki, as well as Pandi and Rini. The population of this study consists of four people who work at Gemoy Billiard and Coffee Shop, and the method used in sampling is the Hungarian method, which is one of the algorithms used to solve assignment problems, this method was discovered and published by Harold Kuhn in 1955 [2]. The results showed that Employee J1 was placed in position M1 (Cashier), Employee J2 was placed in position M4 (SPV), Employee J3 was placed in position M2 (Kitchen), and Employee J4 was placed in position M3 (Bar). these results can be obtained from the assigment model or assignment method carried out by business owners to see the abilities of each employee.
Optimization of Crude Palm Oil (CPO) Transportation Costs at PT Pelita Jaya Using a Transportation Model Khayru Aqillah; Sartika Garingging; Ulul Azmi; Ahmad Albar Tanjung
JUMEBIN : Journal of Management, Economics, Business, and Investment Vol. 1 No. 2 (2025): December 2025
Publisher : PT Katersi Minar Permata

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Abstract

As a company engaged in the field of CPO transportation , PT Pelita Jaya is also present in carrying out expeditions from the loading location to the destination (unloading). The company faces challenges in allocating a total of 900 tons of CPO from three PKS PT PTPN IV (Bah Jambi, Dolok Hilir, Pabatu) to three destination depots (PT MNA, PT KPBN, PT SMART) to achieve the lowest cost. This study aims to optimize the cost of Crude Palm Oil (CPO) transportation at PT Pelita Jaya. The type of data used is primary data with data collection through interviews and observations field. Researchers use a transportation model as a quantitative approach from Operations Research. Solutions are sought using three methods: Northwest Corner (NWC), Vogel's Approximation (VAM), and Stepping-Stone. with POM QM for Windows as tool supporters data processing . The results identified the optimal allocation that minimizes total costs: Bah Jambi PKS (340 tons) is allocated entirely to PT MNA; Dolok Hilir PKS (260 tons) is allocated entirely to PT SMART (260 tons); and Pabatu PKS (300 tons) is allocated to PT MNA (60 tons), PT KPBN (200 tons) and PT SMART (40 tons). The application of this model has proven successful in providing strategic recommendations to minimize logistics costs and improve distribution efficiency at PT Pelita Jaya.
Transportation Model to Optimize Shipping Costs at PT Tiki Jalur Nugraha Ekakurir (JNE) Medan Fatwa Hillah Nasution; Helpitaria Br. Tarigan; Rizki Fadila Hanum; Ahmad Albar Tanjung
JUMEBIN : Journal of Management, Economics, Business, and Investment Vol. 1 No. 2 (2025): December 2025
Publisher : PT Katersi Minar Permata

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Abstract

This study aims to develop and analyze a transportation model to optimize the cost of shipping goods at PT Tiki Jalur Nugraha Ekakurir (JNE) Medan Branch Office which is driven by the challenges of cost management amidst the rapid growth of the logistics sector. The method used is a transportation model, specifically the initial solution approach North West Corner (NWC) and Vogel's Approximation Method (VAM), with the help of the POM QM application for Windows. The data processed includes the capacity of three large warehouses (gateways), namely Aceh, Kisaran, Pekanbaru and three small warehouses (dropcenters), namely Amplas, Gatot Subroto, Marelan, as well as the cost of shipping goods. The results of the initial allocation comparison show that both the NWC and VAM methods produce the same total transportation cost, namely Rp 5,477,900. However, this cost is not optimal. Furthermore, the calculation of the separate minimum driver wage using the Assignment Method resulted in a cost of Rp 578,000,- which is much lower than the total wage based on the NWC/VAM allocation of Rp 967,000,-. In conclusion, to achieve optimal operational cost efficiency, it is recommended that the allocation of goods distribution be integrated with the results of driver wage cost optimization.
PENGARUH PERTUMBUHAN EKONOMI, POPULASI, KONSUMSI ENERGI, DAN IPM TERHADAP EMISI GAS KARBON DIOKSIDA (CO2) DI NEGARA ASEAN Farah Dina; Wahyu Ario Pratomo; Ahmad Albar Tanjung
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 3 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i3.8409

Abstract

This research aims to analyze the impact of economic growth, population, energy consumption, and Human Development Index (HDI) on Carbon Dioxide (CO₂) emissions in 11 ASEAN countries during the period 2013–2021. The research applies a dynamic panel regression method using the Generalized Method of Moments (GMM) approach. The research results indicate that although Economic Growth (GDP) has a positive yet insignificant impact in the short term, it shows a weak and positive impact in the long term, indicating continued reliance on fossil energy that has not been separated completely from economic growth. Population (POP) has a positive and significant impact on CO₂ emissions, both in the short and long term, indicating that increasing population leads to higher energy demand and greater economic activity. Energy Consumption (ERG) has an insignificant impact, due to the diversity of energy sources, including renewable energy, or measurement inefficiencies. The Human Development Index (HDI) has a negative and significant impact, especially in the long term, showing that improving human quality through education, health, and the economy can promote sustainable development and reduce CO₂ emissions. The policy implications of this research include controlling the impact of population through sustainable urban planning, strengthening environmentally based Human Development, decarbonizing economic growth, and implementing long-term strategies such as regional collaboration for a clean energy transition. These findings contribute theoretically to the advancement of the Environmental Kuznets Curve (EKC) model.