Article Per Year (5 Year)
p-Index From 2020 - 2025
0.882
P-Index
This Author published in this journals
All Journal INTECOMS: Journal of Information Technology and Computer Science Quantitative Economics and Management Studies Locus: Jurnal Konsep Ilmu Hukum Jurnal Ilmiah Ekonomi dan Manajemen Jurnal Ilmiah Manajemen Ekonomi Dan Akuntansi (JIMEA)
SIMAMORA, DANIEL
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Peranan Otoritas Jasa Keuangan dalam Pemberantasan Tindak Pidana Pencucian Uang yang Menggunakan Bank Sebagai Instrumen Kejahatan Simamora, Daniel; Mulyadi, Mahmud; Marlina, Marlina; Siregar, Mahmul
Locus: Jurnal Konsep Ilmu Hukum Vol 2 No 1 (2022): Maret
Publisher : LOCUS MEDIA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56128/jkih.v2i1.236

Abstract

Tujuan penelitian ini untuk mengetahui dan menganalisis tentang peranan otoritas jasa keuangan dalam pemberantasan tindak pidana pencucian uang yang menggunakan bank sebagai instrumen kejahatan, oleh sebab kejahatan pencucian uang (money laundering) mempunyai kaitan yang erat dengan perbankan, dimana harta hasil tindak pidana (predicate crime) ditempatkan pada institusi perbankan, sehingga proses penyamaran hasil kejahatan dapat menjadi clean money secara cepat. Penelitian ini adalah penelitian yuridis normatif dengan meneliti bahan pustaka atau data sekunder. Hasil penelitian menyatakan bahwa secara garis otoritas jasa keuangan berperan sebagaimana kewenangannya yang diatur berdasarkan undang- undangri nomor 21 tahun 2011 meliputi kewenangan memberikan izin (right to license), kewenangan untuk mengatur (right to regulate), kewenanganuntuk mengawasi (right to control), kewenangan untuk mengenakan sanksi (right to impose sanction) serta kewenangan melakukan penyidikan di sektor jasa keuangan.
Penerapan Data Science Untuk Memprediksi Transaksi Tidak Valid Pada Sistem Voting Berbasis Blockchain Simamora, Daniel; Purba, Yusuf Deardo; Zamili, Kristianos; Notavianus, Finky; Sofhia, Maya
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 3 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v8i3.15723

Abstract

Keamanan sistem pemungutan suara elektronik (e-voting) berbasis blockchain menjadi perhatian utama di era digital. Penelitian ini bertujuan membangun model evaluasi keamanan e-voting dengan pendekatan data mining, khususnya menggunakan algoritma Support Vector Machine (SVM) dan Random Forest. Dataset yang digunakan terdiri dari lebih dari 500.000 entri transaksi blockchain. Untuk mengatasi ketidakseimbangan kelas antara transaksi sah dan mencurigakan, dilakukan teknik undersampling sehingga diperoleh 100.000 data seimbang sebagai basis pelatihan dan pengujian model. Hasil eksperimen menunjukkan bahwa model Random Forest memiliki akurasi sebesar 95%, namun performanya rendah dalam mendeteksi transaksi mencurigakan, dengan nilai recall hanya 0,00 sebelum tuning dan tetap rendah setelah optimasi. Sebaliknya, model SVM menunjukkan peningkatan signifikan setelah dilakukan hyperparameter tuning, dengan recall pada kelas minoritas meningkat menjadi 0,42 meskipun akurasi keseluruhan menurun menjadi 57%. Temuan ini menunjukkan bahwa model SVM lebih sensitif dalam mengenali pola anomali, meskipun dengan kompromi pada performa kelas mayoritas. Penelitian ini menyoroti tantangan penerapan sistem evaluasi keamanan berbasis machine learning terhadap data blockchain yang tidak seimbang. Diperlukan pengembangan lebih lanjut dengan teknik penanganan data imbalance yang lebih canggih, serta penerapan arsitektur model yang mampu menangani skala besar untuk implementasi secara real-time.
DOES INVESTMENT REALLY MATTER? A REGIONAL STUDY ON HUMAN DEVELOPMENT INDEX IN BANDUNG REGENCY Simamora, Daniel
Jurnal Ilmiah Manajemen Ekonomi Dan Akuntansi (JIMEA) Vol. 3 No. 1 (2025): November
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/jimea.v3i1.5823

Abstract

This study aims to analyze the impact of investment, proxied by Gross Fixed Capital Formation (GFCF), on the Human Development Index (HDI) in Bandung Regency. An increase in HDI is a fundamental measure of regional development success that goes beyond mere economic growth. Using a quantitative approach, this research applies an Ordinary Least Squares (OLS) regression model to annual time-series data from 2010 to 2024. The investment variable is measured through GFCF data at 2010 constant prices, while the HDI uses the official index released by Statistics Indonesia (BPS). The econometric analysis results indicate that investment has a positive and statistically significant effect on the HDI in Bandung Regency. Each 1% increase in investment realization is, on average, correlated with an increase in the HDI. This finding underscores the crucial role of investment as one of the driving forces of community welfare. The main conclusion of this study is the importance of formulating investment policies that are not only oriented towards achieving value targets (quantity) but also focused on the quality and sectors of investment that can provide a direct and sustainable impact on improving the dimensions of health, education, and a decent standard of living for the people of Bandung Regency.
Identifikasi Sektor Unggulan Penanaman Modal Berdasarkan Keterkaitan Realisasi Investasi Dan Pertumbuhan Ekonomi Daerah: Studi Kasus Kabupaten Bandung Simamora, Daniel
JURNAL ILMIAH EKONOMI DAN MANAJEMEN Vol. 3 No. 9 (2025): September
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jiem.v3i9.6532

Abstract

Abstract. This study aims to identify leading economic sectors and analyze the alignment of investment realization in Bandung Regency. Using a quantitative method with Location Quotient (LQ) analysis on GRDP and investment data from 2020-2024, this study maps out base (leading) and non-base sectors. The analysis reveals that the Manufacturing and the Agriculture, Forestry, and Fishery sectors are base sectors with strong regional competitiveness (LQ > 1). However, a misalignment was found, where investment realization is not optimally allocated to all high-potential base sectors. Several leading sectors remain under-invested. This finding implies the need for the local government to optimize its investment promotion strategy by prioritizing competitive base sectors to foster more sustainable economic growth. Keywords: Leading Sectors; Location Quotient; Investment Realization; Economic Growth Abstrak. Penelitian ini bertujuan mengidentifikasi sektor ekonomi unggulan dan menganalisis keselarasan realisasi investasi di Kabupaten Bandung. Menggunakan metode kuantitatif dengan analisis Location Quotient (LQ) pada data PDRB dan investasi periode 2020-2024, studi ini memetakan sektor basis (unggulan) dan non-basis. Hasil analisis menunjukkan bahwa sektor Industri Pengolahan serta Pertanian, Kehutanan, dan Perikanan merupakan sektor basis dengan daya saing regional yang kuat (LQ > 1). Namun, ditemukan adanya ketidakselarasan, di mana realisasi investasi belum teralokasi secara optimal ke semua sektor basis yang berpotensi tinggi. Beberapa sektor unggulan justru masih kekurangan investasi (under-invested). Temuan ini menyiratkan perlunya optimalisasi strategi promosi investasi oleh pemerintah daerah, dengan memprioritaskan sektor-sektor basis yang kompetitif untuk mendorong pertumbuhan ekonomi yang lebih berkelanjutan. Kata Kunci: Sektor Unggulan; Location Quotient; Realisasi Investasi; Pertumbuhan Ekonomi
Does Investment Reduce Unemployment? An Empirical Study of FDI and DDI Impacts in Bandung Regency Simamora, Daniel
Quantitative Economics and Management Studies Vol. 6 No. 5 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems4109

Abstract

This study investigates the comparative influence of Foreign Direct Investment (FDI) and Domestic Direct Investment (DDI) on the Open Unemployment Rate (OUR) in Bandung Regency. This study utilizes annual time-series data covering the period from 2007 to 2024 for the OUR variable, as well as deflated FDI and DDI realization values. The methodology adopted is a quantitative approach with an Ordinary Least Squares (OLS) regression model specified in a log-log form to analyze the elasticity relationship between variables. The model estimation results show that DDI has a negative and statistically significant effect on the OUR, with an elasticity coefficient of -0.285, implying that a 1% increase in real DDI will decrease the OUR by 0.285%. Conversely, FDI was found to have no statistically significant effect on the OUR at a 5% significance level. The main finding of this research is the clear difference in effectiveness between the two capital sources in local labor absorption. DDI proves to be a strong determinant in reducing unemployment, whereas FDI, despite its volume, shows no significant statistical impact. This finding highlights that domestic investment plays a more crucial and direct role in addressing unemployment issues at the regency level, such as in Bandung Regency. Keywords: Foreign Direct Investment, Domestic Direct Investment, Open Unemployment Rate, OLS Regression
Co-Authors Mahmud Mulyadi MAHMUL SIREGAR Marlina Marlina Notavianus, Finky Purba, Yusuf Deardo Sofhia, Maya Zamili, Kristianos