Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Ekonomi Pembangunan Jurnal Ekonomi Pembangunan Buffer Informatika
Imam Akbar
Universitas Sriwijaya
Computer Science & IT Economics, Econometrics & Finance

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
ENGARUH NILAI TUKAR RUPIAH TERHADAP TINGKAT SUKU BUNGA PASAR UANG ANTAR BANK (PUAB) DI INDONESIA PERIODE 1991-2005 Imam Akbar
Jurnal Ekonomi Pembangunan Vol 6, No 2 (2008): Jurnal Ekonomi Pembangunan
Publisher : Department of Development Economics, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29259/jep.v6i2.4857

Abstract

The purposed of this research is to analyze the effect between exchange rate and interbank call money rate  in Indonesia the period 1991 up to 2005. The outcame of this research was hoped become the information that could explain the effect of exchange rate against interbank call money rate  in Indonesia the period 1991-2005. The data used in this research is secondary data that came from the various source, among them the Statistical Centre Committee the Palembang Branch, The Indonesian Bank,  and  any literature and books. The result shows that the effect  the exchange rate is negative and significant  on interbank call money rate.. Key Words: exchange rate and interbank call money rate
ENGARUH NILAI TUKAR RUPIAH TERHADAP TINGKAT SUKU BUNGA PASAR UANG ANTAR BANK (PUAB) DI INDONESIA PERIODE 1991-2005 Imam Akbar
Jurnal Ekonomi Pembangunan Vol. 6 No. 2 (2008): Jurnal Ekonomi Pembangunan
Publisher : Department of Development Economics, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29259/jep.v6i2.4857

Abstract

The purposed of this research is to analyze the effect between exchange rate and interbank call money rate  in Indonesia the period 1991 up to 2005. The outcame of this research was hoped become the information that could explain the effect of exchange rate against interbank call money rate  in Indonesia the period 1991-2005. The data used in this research is secondary data that came from the various source, among them the Statistical Centre Committee the Palembang Branch, The Indonesian Bank,  and  any literature and books. The result shows that the effect  the exchange rate is negative and significant  on interbank call money rate.. Key Words: exchange rate and interbank call money rate
Classification of Conflict Escalation and Destabilization in the Asia-Pacific Using Machine Learning Zwesty Quatra; Sella Juniastia Marsya Saputri; Imam Akbar; Fathoni
Buffer Informatika Vol. 12 No. 2 (2026): Buffer Informatika
Publisher : Department of Informatics Engineering, Faculty of Computer Science, University of Kuningan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/buffer.v12i2.577

Abstract

The escalation of conflicts in the Asia-Pacific region risks triggering regional destabilization, yet evidence-based approaches to conflict prevention remain limited. This study aims to develop a machine learning framework to analyze the level of conflict escalation and support peacebuilding. Using a quantitative comparative design, secondary ACLED data from 2010–2025 were analyzed through a workflow encompassing data preprocessing, feature engineering, handling class imbalance using SMOTE, and evaluating four algorithms: Random Forest, XGBoost, Linear SVM, and Multi-layer Perceptron. Model performance was measured using accuracy, precision, recall, weighted F1 score, and macro AUC. The results showed that Random Forest performed best (accuracy 91.4%; weighted F1 score 91.5%; macro AUC 0.94), followed by XGBoost (accuracy 89.9%; macro AUC 0.93). Both ensemble models excelled in distinguishing low and moderate escalation classes, but their performance declined in the high and critical categories due to limitations in the original sample. Feature importance analysis revealed event type and frequency as the most significant predictors. These findings confirm the effectiveness of tree-based methods for structured conflict classification and their contribution to the development of early warning systems for conflict prevention in the Asia-Pacific region. The proposed framework supports anticipatory decision-making, timely intervention, and more efficient resource allocation for policymakers and international organizations.
Co-Authors Fathoni Sella Juniastia Marsya Saputri Zwesty Quatra