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All Journal Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Public Policy Mutiara : Jurnal Ilmiah Multidisiplin Indonesia
Egi Saputra
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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PREMAN RECEH (PENGARUH MANTAN KOMBATAN GAM TERHADAP POLITIK DI TANAH RENCONG ACEH DI ERA OTSUS) Sulfia Andika; Egi Saputra; Dista Setya Ningsih; Sarabila Sarabila; Alimas Jonsa
Jurnal Public Policy Vol 5, No 1 (2019): November-April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (398.446 KB) | DOI: 10.35308/jpp.v5i1.1015

Abstract

Aceh as a special autonomous region according to the mandate contained in the Aceh Government Law (UUPA) No. 11 of 2006 which gives authority to Aceh,one of which can form a local party and regional regulations (qanun) themselves. The specificity of Aceh is the result of reconciliation between the Free Aceh Movement (GAM) and the Indonesian Government in an effort to resolve endless conflicts. After a conflict resolution effort is realized, to supervise and participate in carrying out the cousre of the UUPA the GAM ex-combatants are now participating in politics which is a better alternative in seeking justice and the rights of the people of Aceh. Therefore, this study aims to find out how much the influence of former GAM combatants on politics in Aceh and the indicators used to enter the political system in Aceh, especially in the districts of West Aceh and Nagan Raya. The methodology used in this study is the qualitative research methodology, with the descriptive approach expected in this study the results found are, in the form of conclusions and suggestions that can build both for former GAM combatants and for the community in their involvement in political implementation in Aceh. Keyword: Influence, Combatants, Aceh
BUDAYA POLITIK WARUNG KOPI WILAYAH PESISIR DI BUMI TEUKU UMAR MENJELANG PEMILU 2019 Egi Saputra; Eko Sanovyanto; Lisantri Lisantri; Alimas Jonsa
Jurnal Public Policy Vol 5, No 1 (2019): November-April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jpp.v5i1.1011

Abstract

This study titled about the political culture of the coffee shop in the coastal areas Teuku Umar before the election in 2019,As for the formulation in the research is how is the political culture of coastal area coffee shops in Teuku Umar Areas Meulaboh West Aceh, and What are the indicators that support politics in the coastal coffee shops that become a political culture in coffee shops.The methodology used in this research is qualitative research methodology, with a descriptive and phenomenological approach, so that in this study the researchers found that coffee shops in the city of Meulaboh had become a political forum utilized by political actors to gain votes in the 2019 general election. This is supported by the coffee shop as a gathering place for the whole community and as a place to discuss and exchange information. Keyword: Culture, Political, and Coffee Shop
Pengembangan Media Pembelajaran Berbasis Augmented Reality pada Materi Pengenalan Perangkat Lunak Kelas VIII di SMP Negeri 4 Singkawang Ferry Marlianto; Dini Oktarika; Bagus Rasyid; Ray Fajar Friandi; Adrian Mardinata; Desvian Ananto Putra; Egi saputra
Mutiara: Jurnal Ilmiah Multidisiplin Indonesia Vol. 2 No. 2 (2024): JIMI - APRIL
Publisher : PT. PENERBIT TIGA MUTIARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61404/jimi.v2i2.236

Abstract

The objective of this study is to create augmented reality educational tools for teaching software introduction topics at Singkawang 4 State Middle School. Evaluating the viability and user reception of educational content delivered through augmented reality technology. Methods of data collection involving interviews and questionnaires. The data analysis technique employs descriptive statistics. The ADDIE paradigm is employed in the research and development process. This learning media is developed through a sequential process consisting of five stages: analysis, design, development, implementation, and evaluation. The participants in this study were eighth-grade students from Singkawang 4 State Middle School. The product feasibility testing step was conducted by a pair of media specialists and one material specialist. The research findings indicated that the feasibility evaluation conducted by media specialists obtained a score of 155 out of a total possible score of 168, placing it in the “very feasible” category. The examination conducted by material experts achieved a score of 71 out of a possible 80, placing it in the “very feasible” category. The mean score attained from the extensive evaluation of 33 eighth-grade students at Singkawang State Middle School 4 was 2550 out of a possible maximum score of 3036. The assessment categorized the score as “highly appropriate” for utilization as a learning tool.
Flood Disaster-Induced Water Inundation Potential Monitoring System in Bengkayang Regency Based on Remote Sensing Imagery and Machine Learning Cahyaningtyas, Christian; Eligia Monixa Salfarini; Egi Saputra
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 02 (2026): MAY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i02.2597

Abstract

Based on data from the Bengkayang Regency Regional Disaster Management Agency (BPBD), in early 2025, 11 sub-districts were affected by flooding, with 12,023 affected people and 3,468 homes submerged. Efforts to minimize the impact of this flood disaster require an effective data-driven monitoring system. A floodwater monitoring system in Bengkayang Regency is essential for effective disaster management, reducing losses and damage, and providing early warnings to the surrounding community. One approach that can be used is remote sensing technology, which can be a solution, especially when combined with machine learning algorithms that can accelerate and improve the accuracy of data analysis. One such machine learning algorithm is the Support Vector Machine (SVM) algorithm. This study has produced a final dataset of five variables: rainfall, slope gradient, land use, VV, and NDWI. This dataset is used for the classification process using the Support Vector Machine algorithm. After preprocessing and dividing the training data by 75% and the test data by 25% of the total 512 data sets. The image classification results using SVM demonstrated quite good performance. The resulting accuracy was 80%, with precision and recall values ​​ranging from 0.67 to 0.98. Based on these results, the model demonstrated excellent ability to identify waterlogging points. The classification results were then integrated into a web-based geographic information system that displays an interactive map of the distribution of waterlogging points.
Co-Authors Adrian Mardinata Alimas Jonsa Bagus Rasyid Cahyaningtyas, Christian Desvian Ananto Putra Dini Oktarika Dista Setya Ningsih Eko Sanovyanto Eligia Monixa Salfarini Ferry Marlianto Lisantri Lisantri Ray Fajar Friandi Sarabila Sarabila Sulfia Andika