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FAKTOR - FAKTOR YANG MENENTUKAN BESARAN SHADOW ECONOMY PADA BRICS COUNTRIES DAN INDONESIA Saputra, Acwin Hendra; Nugroho, Rahadi
JURNAL INFO ARTHA Vol 1 (2016): Edisi Januari
Publisher : Polytechnic of State Finance STAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.32 KB) | DOI: 10.31092/jia.v1i1.68

Abstract

KAJIAN IMPLEMENTASI KNOWLEDGE MANAGEMENT PADA POLITEKNIK KEUNGAN NEGARA STAN Saputra, Acwin Hendra
JURNAL INFO ARTHA Vol 2 (2016): Edisi Februari
Publisher : Polytechnic of State Finance STAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (928.535 KB) | DOI: 10.31092/jia.v2i0.78

Abstract

Macroeconomic Policy Responses to COVID-19: A Case of Indonesia Saputra, Acwin Hendra; Ariutama, I Gede Agus
SENTRALISASI Vol 10, No 2 (2021): Sentralisasi
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/sl.v10i2.1323

Abstract

The health crisis triggered by the COVID-19 virus has spread to a multidimensional crisis and has a domino effect on the socio-economic and financial sectors. The economic crisis as the impact of the COVID-19 pandemic has become increasingly severe because it was accompanied by lockdown and physical distancing policies which resulted in decreasing productivity in the economy. The purpose of this research is to describe the structured efforts taken by the Government of Indonesia in dealing with the impact of the COVID-19 pandemic. The policy combination adopted by the Government of Indonesia is in the form of policies to issue a series of regulations providing legal certainty and flexibility while still highlighting the accountability. Refocusing and budget reallocation are also taken by the government to provide more flexible space for Ministries/Institutions to contribute to managing the impact of COVID-19. Another policy is the issuance of three stimulus packages and the launch of the National Economic Recovery Program (PEN).
Labour Standards in the Global Supply Chain; Village Fund and Labour Working Hours in Indonesia Arifin, Bondi; Tenrini, Rita Helbra; Wicaksono, Eko; Rahman, Arif Budi; Wisnu Wardhana, Irwanda; Setiawan, Hadi; Damayanty, Sofia Arie; Solikin, Akhmad; Suhendra, Maman; Saputra, Acwin Hendra; Ariutama, I Gede Agus; Djunedi, Praptono; Handoko, Rudi
International Journal of Supply Chain Management Vol 9, No 5 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v9i5.5610

Abstract

Abstract- In the recent years, fashion brands and retailers in the West have introduced supplier’s codes of conduct to strengthen international labour standards in their supply chain. Village funds have been allocated since 2015, and increase overtime. In 2015, the allocation of village funds amounting to Rp.28.8 trillion increased to reach Rp60 trillion in 2018. Village funds were used to finance government administration, implementation of development, community development, and community empowerment. This research uses the difference-in-difference (DID) which is adapted to continuous treatment method to analyze the impact of village funds on the work of rural communities. The analysis uses "repeated" cross section data from SUSENAS 2012-2017. We found that an increase in village fund per capita was more likely to raise the labor hours in agriculture and service industries, primarily on non-Java islands. The recommendation of this study is the need for regulation to standardize the proportion of village funds allocation based on the demographic (or number of poor people) and geographical (land area) conditions of the regions. Moreover, increasing the effectiveness of organizational management can be implemented by increasing the capacity of village officials.
IMPLEMENTASI DATA ANALYTICS DENGAN ORANGE DATA MINING UNTUK PROYEKSI HARGA SAHAM (STUDI KASUS HARGA SAHAM PERBANKAN DI INDONESIA) Rizal, Mohamad Nor; Firmansyah, Sandi; Anggraeni, Ulfa; Paramartha, I Gede Yudi; Saputra, Acwin Hendra
Jurnal Riset Akuntansi & Keuangan Vol 10 No. 2 Tahun 2024
Publisher : UNIKA Santo Thomas

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Abstract

The purpose of this research is to determine the accuracy of stock price predictions using analytical data using Orange Data Mining application based on the ARIMAX model. The research sample consists of banking stock in Indonesia, with codes BBCA, BBRI, BMRI, and BBNI, from Q1 2011 to Q2 2023. The four stocks were chosen due to their high valuations in Indonesia and are among the ten stocks with the largest valuations in the country. The best ARIMAX model was selected using statistical rules, and Orange application was used to test the model. Data from Q1 2011 to Q4 2022 was considered as training data, and predictions were made for Q1 and Q2 2023. The results showed high accuracy in stock price predictions with a consistently low MAPE value, which is always less than 10. This research suggests that investors can use Orange application for predicting stock prices based on analytical data.