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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.
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.
Analisis Implementasi Metode EOQ pada Sistem Pengendalian Persediaan Bahan Baku Berbasis POM-QM Fatia Azhara; Melti Gusti Tri Ananda; Andika Ramadhani; Ahmad Albar Tanjung
FIMERKOM : Journal of Information Systems and Technology Vol. 2 No. 2 (2025): Desember 2025
Publisher : PT Katersi Minar Permata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66785/fimerkom.v2i2.153

Abstract

Penelitian ini bertujuan untuk menganalisis dan mengoptimalkan pengendalian persediaan bahan baku pada Izzi Kebab yakni sebuah UMKM kuliner di Medan yang selama ini masih mengandalkan estimasi intuitif dalam pengadaan barang. Pola pengadaan konvensional tersebut menyebabkan frekuensi pemesanan yang terlalu tinggi dan pembengkakan biaya operasional. Untuk mengatasi permasalahan tersebut, penelitian ini menggunakan pendekatan kuantitatif deskriptif dengan menerapkan metode Economic Order Quantity (EOQ) dan Reorder Point (ROP) yang diolah menggunakan aplikasi POM QM for Windows. Hasil analisis menunjukkan bahwa melalui metode EOQ, Izzi Kebab dapat melakukan transformasi manajemen persediaan yang signifikan dengan merampingkan frekuensi pemesanan dari 52 kali setahun menjadi rata-rata 4 hingga 11 kali saja. Secara spesifik, kuantitas pemesanan optimal (Q*) untuk daging kebab adalah 27,93 kg, tortilla 64,5 unit, selada 48,72 kg, timun 48,37 kg, saus cabai 62,45 kg, serta saus tomat dan mayonaise masing-masing sebesar 44,16 kg. Implementasi strategi ini terbukti mampu menyeimbangkan biaya pesan dan biaya simpan pada titik terendah, sehingga menghasilkan total biaya persediaan yang lebih efisien dan stabil. Kesimpulannya, penggunaan metode ilmiah berbasis teknologi ini memberikan rekomendasi strategis bagi Izzi Kebab untuk meningkatkan efisiensi modal kerja dan keberlanjutan operasional bisnis UMKM.