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All Journal BERKALA FISIKA KEK (Kajian Ekonomi dan Keuangan) Jurnal Syntax Imperatif : Jurnal Ilmu Sosial dan Pendidikan Formosa Journal of Science and Technology (FJST) Indonesian Research Journal on Education
Bachtiar Rifai
Kelompok Penelitian Kosmologi, Astrofisika, dan Fisika Matematik (KAM) Jurusan Fisika FMIPA UGM, Yogyakarta
Religion Arts Humanities Chemistry Computer Science & IT Economics, Econometrics & Finance Education Energy Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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The Development of Local Government Empowerment Model to Support Kredit Usaha Rakyat s Program (KUR) for Poverty Alleviation Rifai, Bachtiar
Jurnal Kajian Ekonomi dan Keuangan Vol 17, No 3 (2013)
Publisher : Badan kebijakan Fiskal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31685/kek.v17i3.11

Abstract

Indonesian government has been launched poverty alleviation framework which consists of Four Clusters such as: Direct Transfer (BLT'); National Program for Community Empowerment (PNPMJ; Kredit Usaha Rakyat (KUR); and energy, housing, transportation for poor. Unfortunately, KUR hasn't reached poor and reduce the poverty significantly. It is predicted that Local Government hasn't involved structurally and formally in KUR’s implementation. The study is developed from primary and secondary data which has been conducted since 2012 in Five Provinces (Central Java, East Java, Bengkulu, Yogyakarta and Mataram). Primary data were generated by three instruments such as questionnaire (600 units which was divided into two group- KUR and non KUR), in depth interview for key persons and Focus Group Discussion which was representing stakeholder. The result shows that the roles of Local Government in KUR implementation are still limited. It can be identified as follows: being administrator for Communication for KUR, socialization in SMEs, and facilitating for KUR assistant for SMEs. One of obstacles is Local Government hasn't engaged yet on KUR syndications.
Konsep Massa Ekonomis Sebagai Ukuran Kelembaman Pelaku Ekonomi Dalam Ruang Harga (Kajian Mekanika Kuantum Dalam Ekonomi Mikro) Rifai, Bachtiar; Palupi, Dwi Satya; Rosyid, Muhammad Farchani
BERKALA FISIKA Vol 13, No 2 (2010): Berkala Fisika, Edisi Khusus
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (310.358 KB)

Abstract

This paper has studied the correlation of economic systems in the market for goods by using the concept of state and the concept of observable in quantum mechanics.Also proposed the concept of economical mass as an economic actor counterparts concept of inertia or inertia in physics. Studied the things that determine the mass of a principal economic economical. Discussed the possibility of applying the model to market goods with commodities and M N economic actors using the concept of Quantum Many Body Problem. Keywords: Ekonofisika, Applied Physics, Massa economical, Quantum many-body problem
Hydrological Analysis of Mini Hydro Power Plants (PLTM) Using The Flow Duration Curve Approach Bennuwardana, Nengah; Martha, Sukendra; Prihanto, Yosef; Waluyo, Dangan; Firmansyah, Firmansyah; Rifai, Bachtiar
JURNAL SYNTAX IMPERATIF : Jurnal Ilmu Sosial dan Pendidikan Vol. 6 No. 4 (2025): Jurnal Syntax Imperatif: Jurnal Ilmu Sosial dan Pendidikan
Publisher : CV RIFAINSTITUT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/syntaximperatif.v6i4.792

Abstract

Hydrological analysis is crucial in the planning of a Mini-Hydro Power Plant (PLTM). This study aims to examine the hydrological aspects of the Way Besai PLTM, located in Bonglai Village, Way Kanan Regency, Lampung Province. The Way Besai Mini-Hydro Power Plant (PLTM) is a runoff-river PLTM scheme located approximately 242 km north of Bandar Lampung City, Lampung Province, Indonesia. The data used include daily rainfall data from six rainfall stations, climate element data from the Radin Inten II Meteorological Station, and outflow data from the Besai PLTA. The rainfall data were analyzed for consistency using the Mass Curve method, with only three stations deemed consistent. Potential evapotranspiration was calculated using the Modified Penman method. Furthermore, the rainfall data were converted into daily discharge data using the F.J. Mock Rainfall to Runoff hydrological method. The catchment area is 449.14 km2 at the intake site and the average annual rainfall reaches 2,366 mm/year. The analysis results are used to determine the mainstay discharge (plant discharge) and the planned flood discharge through the Flow Duration Curve (FDC). Based on these results, the Way Besai Hydroelectric Power Plant is projected to have a generated power of 9.2 MW and an annual energy of 67.513 GWh resulting from the utilization of an effective water head of 67.45 m and a maximum plant discharge of 16.5 m3/second.
Utilization of Google Colaboratory to Determine the Relationship Between the National Defense Index (IBNU) and the Human Development Index (HDI) in Indonesia in 2023 Rifai, Bachtiar; Poniman, Aris; Gultom, Rudy Agus Gemilang; Wadjdi, Achmad Farid; Rifai, Salsabila Azzahra
Indonesian Research Journal on Education Vol. 4 No. 4 (2024): irje 2024
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v4i4.1546

Abstract

This study uses Random Forest model and statistical analysis to evaluate the relationship between the Index of State Defense (IBNu) and the Human Development Index (HDI) at the provincial level in Indonesia. The data includes the average IBNu, HDI in 2023, the manager's prediction, and data from the Indonesian Democracy Index (IDI) in 2021-2023. The model shows excellent prediction performance with a Mean Squared Error (MSE) of 0.0018 and an R² value of 0.97, indicating that the prediction results are very close to the actual data. The residual plot also shows that the model has no significant bias as the prediction error is evenly distributed around the zero line. Correlation analysis found that HDI has a strong positive correlation with education variables, such as Expected Years of Schooling and Average Years of Schooling, while IBNu is negatively correlated with economic growth, indicating that an increase in IBNu may have the effect of decreasing economic growth. The classification performance of the model was assessed using the confusion matrix, which showed accuracy, precision, recall, and F1 scores of 0.8, indicating the model's ability to distinguish between the various classes well. These results suggest that IBNu policies aimed at improving HDI may not always be effective and that a more comprehensive policy approach is needed. The proposed recommendations include the integration of national defense and human development programs into the school curriculum, balanced budget allocation, innovative programs for the community, support for the balance between security and welfare, and continuous research and evaluation.
Determination of Cross-Border Post Points Based on Geospatial Intelligence for Territorial Defense of the Unitary State of the Republic of Indonesia: Literature Review Rifai, Bachtiar; Poniman, Aris; Gultom, Rudy Agus Gumilang
Formosa Journal of Science and Technology Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i10.11685

Abstract

The location of cross-border posts is crucial for Indonesia's land and maritime security and combating illegal activity. Geographical intelligence technology like sensors and machine learning can help find crucial sites. GEOINT and international cooperation enable monitoring, threat detection, and trade regulation. This study uses a literature review to examine how GEOINT helps Indonesia defend its territory. This research collects, analyzes, and synthesizes important scientific studies using a literature review. Our literature search used relevant terms in scientific databases. The selected literature covers GIS, GEOINT, Satellites, Drones, and cross-border posts. Analysis identified major conclusions and research gaps. Geospatial intelligence technology (GEOINT), which uses drones and satellites to monitor and provide high-resolution data, is effective at detecting and responding to threats in Indonesia's extensive border areas. Additionally, this technology helps find the right cross-border post. Geographic information systems (GIS) must assist centralized data management and defense agency collaboration to strengthen border security. GEOINT supports strategic cross-border post placement decisions to secure Indonesia's borders. For regional defense, national security, and stability in the face of complex global problems, the latest and most effective technologies must be developed and used.
Co-Authors ARIS PONIMAN Bennuwardana, Nengah Dwi Satya Palupi Firmansyah Firmansyah Gultom, Rudy Agus Gemilang Gultom, Rudy Agus Gumilang Muhammad Farchani Rosyid Rifai, Salsabila Azzahra Sukendra Martha Wadjdi, Achmad Farid Waluyo, Dangan Yosef Prihanto, Yosef