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Crypto Fundamental Analysis: Comparison of Cryptos with the Largest Market Capitalizations Kareena Hilwa; Sri Astuty; Diah Retno Dwi Hastuti; Muhammad Syafri; Regina Regina
International Journal of Economics, Commerce, and Management Vol. 3 No. 1 (2026): International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v3i1.1097

Abstract

Cryptocurrency has become a rapidly developing digital asset class that attracts widespread investor interest due to its decentralized, anonymous, and highly volatile nature. Such volatility creates uncertainty in market movements, making it important to understand the factors that drive fluctuations in returns. This research aims to examine how fundamental indicators namely price, trading volume, and market capitalization affect return volatility, as well as to determine which cryptocurrency demonstrates the highest market efficiency based on risk assessment. The study uses panel data covering the five largest cryptocurrencies by market capitalization (Bitcoin, Ethereum, Tether, USD Coin, and Binance Coin) over the period 2019–2023. The analytical methods applied include panel data regression to identify the determinants of volatility and Value at Risk (VaR) to measure asset risk and efficiency. The findings show that price and trading volume positively and significantly increase return volatility, whereas market capitalization exerts a negative and significant effect, indicating its stabilizing role. Based on VaR analysis, Binance Coin (BNB) emerges as the asset with the highest market efficiency. The study concludes that fundamental indicators play a crucial role in shaping volatility and that BNB offers relatively better risk performance compared to its peers.
Pengaruh Dana Alokasi Khusus terhadap Indeks Pembangunan Manusia dengan Mediasi Belanja Modal di Sulawesi Selatan Andi Marwah Nur; Diah Retno Dwi Hastuti; Muhammad Syafri; Sri Astuty; Shadry Andriani
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 12 No. 4 (2026): Agustus 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v12i4.6536

Abstract

The Human Development Index (HDI) is a key indicator for assessing the success of regional development through improvements in the quality of life of the population. Although the HDI in South Sulawesi has shown an increasing trend and is classified in the high category, the effectiveness of regional fiscal instruments, particularly the Special Allocation Fund (DAK) and capital expenditure, remains a critical concern in enhancing the sustainability of human development outcomes. Based on public finance theory and human capital theory, government budget allocation to productive sectors has the potential to improve the quality of human resources through the provision of basic public services. This study aims to analyze the effect of the Special Allocation Fund on capital expenditure, examine the impact of both the Special Allocation Fund and capital expenditure on the Human Development Index, and test the mediating role of capital expenditure across districts and municipalities in South Sulawesi for the period 2011–2024. This research employs a quantitative approach using panel data through two estimation models, namely the random effects model and the fixed effects model, as well as the Sobel test to examine the mediation effect. The results indicate that the Special Allocation Fund has a significant effect on capital expenditure, capital expenditure significantly influences the Human Development Index, and the Special Allocation Fund also affects the Human Development Index both directly and indirectly through capital expenditure. These findings suggest that optimizing the allocation of the Special Allocation Fund through productive capital expenditure contributes to the improvement of human development.
Keterkaitan Pengelolaan Keuangan dan Kapabilitas Sumber Daya Manusia Terhadap Efektivitas Penggunaan Anggaran Daerah Nabilah Hafizhah; Diah Retno Dwi Hastuti; Sri Astuty; Citra Ayni Kamaruddin; Abdul Rajab
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 12 No. 4 (2026): Agustus 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v12i4.6748

Abstract

This study aims to identify the relationship between budget planning and human resource competencies on budget absorption rates, as well as to analyze the effectiveness of these two aspects at the Makassar City Regional Development Planning Agency for the 2020–2024 period. The data used consisted of budget realization reports and personnel data, which were then analyzed using Spearman’s rank correlation to examine the relationships among the variables. The results of the study indicate that budget planning has a positive relationship with budget absorption rates, with a correlation coefficient of 0.583, which falls into the moderate category. Meanwhile, human resource competency exhibits a very strong positive relationship, with a correlation coefficient of 0.955. These findings indicate that while budget planning plays a role in improving budget absorption, human resource competency has a more dominant influence in supporting the effectiveness of budget implementation. Therefore, improving the quality of human resources as well as enhancing coordination and the implementation of planning are strategic steps in optimizing budget absorption.
PELATIHAN PENGOLAHAN DATA DENGAN MENGGUNAKAN SOFTWARE SPSS Astuty, Sri; Regina, Regina; Hastuti, Diah Retno Dwi; Rahim, Abdul; Juhamri, Juhamri
Journal of Community Service Vol 8 No 1 (2026): JCS, June 2026
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jcs.v8i1.383

Abstract

Pelatihan pengolahan data menggunakan SPSS merupakan kegiatan pengabdian kepada masyarakat yang bertujuan untuk meningkatkan kemampuan analisis data mahasiswa Universitas Patompo Makassar. Kegiatan ini dilatarbelakangi oleh masih rendahnya pemahaman mahasiswa terhadap teknik analisis statistik, khususnya dalam uji regresi berganda dan interpretasi hasil analisis. Metode pelaksanaan meliputi survei, koordinasi, sosialisasi, pelatihan, serta evaluasi melalui pre-test dan post-test untuk mengukur peningkatan kemampuan peserta. Hasil kegiatan menunjukkan adanya peningkatan signifikan terhadap pemahaman dan keterampilan mahasiswa dalam mengolah serta menginterpretasikan data penelitian menggunakan SPSS 25. Sebelum pelatihan, sebagian besar mahasiswa belum mampu mengoperasikan SPSS dan memahami uji regresi berganda, namun setelah pelatihan lebih dari 80% peserta menunjukkan peningkatan kemampuan yang nyata. Kegiatan ini terbukti efektif dalam meningkatkan literasi statistik, efisiensi analisis data, serta kepercayaan diri mahasiswa dalam mengolah data penelitian. Secara keseluruhan, pelatihan ini memberikan kontribusi positif terhadap peningkatan kualitas penelitian dan penguatan kompetensi akademik mahasiswa di bidang analisis data statistik. Kata Kunci: Pelatihan, SPSS, Analisis Data, Regresi berganda, Literasi Statistik
Pengaruh Kenyamanan dan Manfaat E-Wallet Terhadap Perilaku Konsumen di Kota Makassar : Influence of Convenience and Benefits of E-Wallets on Consumer Behavior in Makassar City Basri Bado; Tito Koes Herdianto; Diah Retno Dwi Hastuti; Muh. Jamil
Jurnal Kolaboratif Sains Vol. 7 No. 5: MEI 2024 - Jurnal Kolaboratif Sains (JKS)
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v7i5.5367

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh kemudahan dan manfaat pengguna E-wallet terhadap perilaku konsumsi masyarakat di Kota Makassar Populasi dalam penelitian ini adalah masyarakat berdomisili di Kota Makassar yang pernah atau aktif menggunakan E-wallet, alat analisis yang digunakan pada penelitian ini adalah Analisis Faktor Confirmatory ( CFA ). Teknik pengambilan sampel yang digunakan dalam penelitian ini adalah purposive sampling dan diperoleh sampel sebanyak 392 orang. Metode pengumpulan data dengan kuesioner yang disebar secara online. Hasil penelitian menunjukkan bahwa e-wallet mempengaruhi perilaku konsumsi Masyarakat, hal itu dipengaruhi oleh kemudahan transaksi yang diperoleh dari penggunaan e-wallet dan Manfaat yang diperoleh dari e-wallet yang digunakan oleh Masyarakat untuk memenuhi kebutuhan konsumsinya.
Determinants of the Open Unemployment Rate in Six Selected Provinces in Indonesia A. Khaerul Maudy Atharid; Abd Rahim; Muhammad Syafri; Diah Retno Dwi Hastuti; Abd Rajab
International Journal of Economics Development Research (IJEDR) Vol. 7 No. 3 (2026): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/rsjw2g62

Abstract

Open unemployment remains one of the major challenges in Indonesia's labor market despite continued economic development. Previous studies have generally examined the determinants of unemployment at the national level or across all provinces, while research focusing specifically on provinces with persistently high unemployment rates remains limited. This study aims to analyze the effects of economic growth, population growth, and human resource quality on the Open Unemployment Rate (OUR) in six Indonesian provinces with the highest unemployment rates DKI Jakarta, West Java, Banten, Riau Islands, North Sulawesi, and Maluku during the 2015–2025 period. The novelty of this study lies in examining these three determinants simultaneously using panel data regression in provinces with persistently high unemployment rates. This study employed a quantitative approach using secondary data obtained from Statistics Indonesia (BPS). Based on the model selection tests, the Random Effects Model (REM) was identified as the most appropriate estimation model. The results indicate that economic growth and human resource quality have a negative and statistically significant effect on the Open Unemployment Rate, whereas population growth has a negative but statistically insignificant effect. Collectively, all independent variables significantly affect the Open Unemployment Rate. The model explains 65.01% of the variation in the Open Unemployment Rate (R² = 0.6501), while the remaining 34.99% is explained by other factors outside the model. These findings suggest that strengthening economic growth and improving human resource quality are essential strategies for reducing unemployment, particularly in provinces with persistently high unemployment rates.
Implementasi Digital Banking di Kawasan Asia Tenggara Tania Tri Wahyuni Taha; Sri Astuty; Diah Retno Dwi Hastuti; Irwandi Irwandi; Abd Rahim
Jurnal Ilmiah Manajemen, Ekonomi dan Akuntansi Vol. 5 No. 2 (2025): JULI : Jurnal Ilmiah Manajemen, Ekonomi dan Akuntansi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurimea.v5i2.1140

Abstract

The increase in digital banking due to the influence of high levels of internet usage makes the process of digital financial services easy. The Internet is growing rapidly, fast and cheap, has the potential to increase productivity and competitiveness of Southeast Asian economies. The study was conducted in 10 Southeast Asian countries, namely Indonesia, Malaysia, the Philippines, Singapore, Thailand, Brunei Darussalam, Myanmar, Vietnam, Laos, and Cambodia. Except for Timor Leste due to limited data in supporting this research. The object of this study is the use of digital banking as a dependent variable, while the exchange rate (Nt), foreign exchange reserves (Cd), and interest rate (Sb) are independent variables. In addition, the amount of money in circulation is M0 & M1 as the moderator variable. The data collection technique is by taking panel data from 2014 – 2023 obtained from the official website, namely Stastika.com, Tranding Economic, Focus Economic, World bank and sources related to this research. The data collection technique in this study was carried out using Eviews12. tests are needed in selecting the most appropriate estimates, namely, the Chow Test, the Hausman Test and the Lagrange Multiplier Test. In the regression of moderation variables using the Moderated Regression Analysis (MRA) interaction model.
Co-Authors A. Khaerul Maudy Atharid Abd Rajab Abd. Rahim Abd. Rahman Abd. Rajab Abdul Malik Abdul Malik Abdul Rahim Abdul Rajab Abdul Rajab Abdul Rajab Achmad Noerkhaerin Putra Afies, Muhammad Ahmad Faqhruddin Abdur-Rabb Al Fathana Hanafi Alfiani Muhaer Aliyah Nurulita Amalia, Eka Resky Andi Marwah Nur Angreini, Angreini Anniza Reskywana Dwi Putri Ansyah, Rudi Arifuddin, Nurazizah Asmita Syahma Asriyani Bara' Tiku, Intan Basri Bado Basri Bado Basri Bado, Basri Citra Ayni Kamaruddin Citra Ayni Kamaruddin Citra Ayni Kamaruddin Darmawan Salman Dita Pradipta Dwi Melda Teresia Eka Suci Syam Erwin Erwin Eymal B. Demmalino Fahmi, Ainul Wahdania Faizah, Siti Nurul Fardin Fauziah, Nur Azizah Firmansyah Firmansyah Firmansyah Firmansyah Fitri Suci Ramadhani Harfian, Harfian Himaya Praptani Adys Himaya Praptani Adys Ika Sulistyawaty Fitria Illiyyiin Nasution Irwandi Irwandi Irwandi Jamil, Muh Jamil, Muh. Juhamri, Juhamri Kareena Hilwa Khaidarsyah Khaidarsyah Kuswarini Sulandjari Mahdy. K, Muh. Raihan Eka Mardia Mardia Mardia Mardia Marhawati Maulidan, Andi Reski Lailatul Meltyn, Maria Mediatrix Masny Mitra Musika Lubis Mufli, Farhanul Muh. Jamil Muhammad Ilyas Thamrin Tahir Muhammad Imam Ma'ruf Muhammad Safri, Muhammad Muhammad Saleh Ali Muhammad Syafri Muhammad Syafri Muhammad Syafri Muhammad Syafri, Muhammad Muhammad Syafrie Muspira Muspira Mutiara Pratiwi Putri Mutiara Pratiwi Putri Nabila, Asma Nabilah Hafizhah Nasution, Illiyyiin Ningrum, Wandani Sri Novaty Eny Dungga Nugraha A, Arif Nur Aliyah Nur Azizah Nur Azizah S Nur Fauziah Nurasri Mulyani Nurbaya Bustanul Nurulita, Aliyah Parinra, Syam Crisan Patima, Nur Rahim Darma Rahim, Abd Rahmadanih Rahmadanih Rahmi Rahmi Ramadhan, Muh Nur Rahmat Regina Regina Regina Riadi, Arif Risma Risma Rudi Ansyah Sabar, Wardihan Samsir, Andi Sari, Tiara Permata Satmawati Satmawati Septaty Rahayu Ningsih Shadry Andriani Shadry Andriani Sitti Agustina Slamet Santosa Sri Astuti Sri Astuti Sri Astuty Sri Astuty Sri Astuty Sri Astuty Sri Astuty Sri Astuty Sulandjari, Kuswarini SYAMSU ALAM Syaputra, Muh. Yusril Amal Syarifah Amaliah Tania Tri Wahyuni Taha Tito Koes Herdianto Triyatni Martosenjoyo Ulfa Syam Ulva Ulva Wardihan Sabar Yusuf, La Ode Muhammad Iksan Zaenal, Andi Haidir Zahra, Raden Ajeng Azmi Hayatunufus Fajri Zainal Abidin Zainal Abidin