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Information System for Rapid Assessment of Emergency Responses Based on Android Applications for BPBD of Aceh Barat Kusuma, Muchtar; Nizamuddin, Nizamuddin; Nasaruddin, Nasaruddin
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 6, No 2 (2020): Volume 6 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v6i2.41081

Abstract

Rapid assessment is part of disaster emergency response that are covering quick and precise assessments to the calamity place, casualties and damaged building. So far, rapid assessment in BPBD Aceh Barat is still conducted manually without an information system within its management of disaster emergency response. To support a successful result in emergency response activity, designing an android based rapid assessment application system is demanded to facilitate the public users (community/volunteer) and trained users (TRC Team) of BPBD Aceh Barat. Research methods of the study was based on Perka BNPB and previous studies. Then, continued by building prototype, and users System Usability Scale test. This research result is an android based rapid assessment application. The procedure is by inputting data by user via Android application that contained disaster info, casualties, refugee data, building damage, volunteer and humanitarian logistic. Then validated at www.tdb-aceh.com. Users can access to news and information, BNPB regulations, important dials, and TRC BPBD members on application. SUS test results showed that public users of 12 respondents average score is 68,95 and trained users of 3 respondents average score is 67,5. Analysis to both respondents group showed that the application is well-integrated, user friendly, and easy to understand.
DETERMINANTS OF PERFORMANCE OF DEVELOPMENT UNIVERSITAS PEMBANGUNAN PANCA BUDI MEDAN Firmansyah, Firmansyah; Farida Ferine, Kiki; Nizamuddin, Nizamuddin
International Conference on Health Science, Green Economics, Educational Review and Technology Vol. 5 No. 1: IHERT (2023) FIRST ISSUE: International Conference on Health Science, Green Economics,
Publisher : Universitas Efarina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ihert.v5i1.304

Abstract

The purpose of this research is to determine and analyze the use of information technology and organizational culture on employee performance with competency as an intervening variable. The type of research carried out was associative quantitative, the research was carried out at the Panca Budi Development University, Medan. The research population was 153 employees, and the research population was all sampled and the sampling technique was a census sample. The research model used is Pahat analysis and research calculation tools using Smart PLS 3.3.3. The data collection techniques used were questionnaires and surveys. Based on the results of research that has been carried out and data analysis as explained in the previous chapter, the following conclusions from the research results are presented as follows: Information Technology has a positive and significant effect on Competency. Organizational culture has a positive and insignificant effect on competence. Information Technology has a positive and significant effect on Employee Performance. Organizational culture has a positive and insignificant effect on employee performance. Competency has an insignificant positive effect on employee performance. Information Technology has a positive and insignificant effect on Employee Performance through Competency. Organizational culture has a positive and insignificant effect on employee performance through competency.
Utilization of Drone with Thermal Camera in Mapping Digital Elevation Model for Ie Seu'um Geothermal Manifestation Exploration Security Bahri, Ridzky Aulia; Noviandy, Teuku Rizky; Suhendra, Rivansyah; Idroes, Ghazi Mauer; Yanis, Muhammad; Yandri, Erkata; Nizamuddin, Nizamuddin; Irvanizam, Irvanizam
Leuser Journal of Environmental Studies Vol. 1 No. 1 (2023): July 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v1i1.40

Abstract

Geothermal energy is a viable alternative energy source, particularly in Indonesia. This study was conducted at Ie Seu’um, Mount Seulawah Agam, which is a potential site for a geothermal power plant with an estimated electrical output of 150 megawatts. The objective of this study was to analyze and construct a digital elevation model (DEM) map of the geothermal manifestations. We analyzed water temperature, FLIR (Forward Looking Infrared) temperature, and temperature data from Landsat 8 satellite imagery. To map the heat signature of geothermal features, we utilized the DJI Phantom 4 Standard equipped with the FLIR One Gen 2 sensor. Additionally, we used the Milwaukee Mi306 to calculate the water temperature. Each test was conducted three times to obtain an optimal average level of accuracy. The DEM map was created to assess the level of safety in geothermal manifestation exploration. Elevation and slope values were analyzed to generate a 3D map display, providing a clearer image of the research site. In conclusion, drones prove to be an excellent method for ensuring the safety of exploration in geothermal manifestation areas.
Exploring Geothermal Manifestations in Ie Jue, Indonesia: Enhancing Safety with Unmanned Aerial Vehicle Aprianto, Aprianto; Maulana, Aga; Noviandy, Teuku Rizky; Lala, Andi; Yusuf, Muhammad; Marwan, Marwan; Afidh, Razief Perucha Fauzie; Irvanizam, Irvanizam; Nizamuddin, Nizamuddin; Idroes, Ghazi Mauer
Leuser Journal of Environmental Studies Vol. 1 No. 2 (2023): November 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v1i2.75

Abstract

Geothermal energy is a renewable resource derived from the Earth's interior that provides an environmentally friendly alternative. Indonesia is at the forefront of geothermal potential, possessing ample resources primarily concentrated in places like Sumatra. However, there is a requirement for greater exploitation of this potential. This research utilizes unmanned aerial vehicles (UAVs) and thermal imaging to detect geothermal indications in the Ie Jue region of Sumatra within the province of Aceh, Indonesia. The analysis focuses on three main manifestation locations using FLIR One thermal camera and water temperature gauges. The study leverages satellite imagery for comparative purposes. Temperature data highlights variations among distinct manifestations, underscoring the necessity for thorough exploration. Moreover, the study devises a secure pathway for researchers to access the site. This investigation contributes to comprehending geothermal activity and its possible role in sustainable energy and other domains.
Analysis of the Use of Information Technology and Organizational Culture on Employee Performance with Competence as an Intervening Variable at the Panca Budi Development University, Medan Firmansyah, Firmansyah; Farida Ferine, Kiki; Nizamuddin, Nizamuddin
International Journal of Social Science, Education, Communication and Economics (SINOMICS JOURNAL) Vol. 2 No. 5 (2023): December
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sj.v2i5.239

Abstract

The purpose of this research is to determine and analyze the use of information technology and organizational culture on employee performance with competency as an intervening variable. The type of research carried out was associative quantitative, the research was carried out at the Panca Budi Development University, Medan. The research population was 153 employees and the research population was all sampled and the sampling technique was a census sample. The research model used is Pahat analysis and research calculation tools using Smart PLS 3.3.3. The data collection techniques used were questionnaires and surveys. Based on the results of research that has been carried out and data analysis as explained in the previous chapter, the following conclusions from the research results are presented as follows: Information Technology has a positive and significant effect on Competency. Organizational culture has a positive and insignificant effect on competence. Information Technology has a positive and significant effect on Employee Performance. Organizational culture has a positive and insignificant effect on employee performance. Competency has an insignificant positive effect on employee performance. Information Technology has a positive and insignificant effect on Employee Performance through Competency. Organizational culture has a positive and insignificant effect on employee performance through competency.
Utilization of Unmanned Aerial Vehicle (UAV) for Topographic Survey Using Ground Control Points (GCP) from Geodetic GNSS Nizamuddin, Nizamuddin; Wirandha, Freddy Sapta; Ardiansyah, Ardiansyah
Aceh International Journal of Science and Technology Vol 12, No 1 (2023): April 2023
Publisher : Graduate School of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.1.31606

Abstract

Mapping with UAVs is a large-scale mapping strategy or method that can shorten the implementation time compared to conventional survey methods that sometimes cannot represent an area as a whole. Aerial photos recorded by drones generally still have a level of position error of up to several meters, so tie points are needed to improve the accuracy of aerial photos. This research aims to utilize drone camera technology to produce geospatial data, both in the form of raster data from aerial photographs and vector data in the form of land contours showing the height of the land surface in Gampong Cot, Gampong Blang, Krueng Kalee, and Angan in Darussalam District, Gampong Durung and Neuheun in Masjid Raya District, Gampong Labuy and Lam Ujong in Baitussalam District. Aerial photo processing produces highresolution image data of 5 cm/pixel. Ground Control Points (GCPs) are used as tie points to improve the accuracy of aerial imagery. GCP measurements use geodetic GNSS, which has an accuracy of cm to mm. Aerial photos that previously had an error rate of 2-7 meters, after being bound with GCP points, the error rate decreased to below 1 meter. Aerial photographs also show that the land cover in the study area is partly forest. Some areas in the west and north are C excavation mining areas. Based on the contour extraction results, the ground elevation in block 1 (Gampong Durung, Gampong Cot, Gampong Angan, and Gampong Lam Ujong) is 66 to 301 meters, block 2 (Gampong Neuhen) is 50 to 260 meters, and block 3 (Gampong Lam Ujong and Labuy) is 90 to 188 meters.
Asset-Based Community Development for Employee Performance Enhancement by Leveraging Personality and Job Satisfaction Purba, Bernanda; Nizamuddin, Nizamuddin
Help: Journal of Community Service Vol. 1 No. 4 (2025): March 2025
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/hjcs.v1i4.155

Abstract

This study examines the impact of personality and job satisfaction on employee performance at the Directorate of Commercial Order, Ministry of Trade of the Republic of Indonesia. The research employs a quantitative approach using Structural Equation Modeling (SEM) with AMOS software for data analysis. A total of 141 employees were surveyed using a census sampling method. The results reveal that personality has a significant positive effect on employee performance, indicating that traits such as conscientiousness and emotional stability enhance work outcomes. Similarly, job satisfaction significantly influences performance, emphasizing the importance of workplace conditions, compensation, and career development in boosting employee productivity. Furthermore, job satisfaction partially mediates the relationship between personality and performance, demonstrating that satisfied employees are more likely to translate their personality traits into high performance. The findings align with the Asset-Based Community Development (ABCD) approach, which suggests that organizations should focus on optimizing employees' intrinsic strengths rather than merely addressing weaknesses. By fostering a work environment that enhances job satisfaction, organizations can maximize employee contributions and overall performance. Despite its contributions, this study has limitations, including the scope of variables and the sample size confined to one directorate. Future research should explore additional factors such as leadership style, organizational culture, and work-life balance. Expanding the sample to include different institutions and industries could improve generalizability. Moreover, longitudinal studies are recommended to assess long-term behavioral patterns. This study provides valuable insights for policymakers and organizational leaders in enhancing employee performance through personality development and job satisfaction strategies.
The Effectiveness of Machine Learning Techniques in Anomaly Detection for Cyberattack Prevention: Systematic Literature Review 2020-2025 Budiansyah, Arie; Zulfan, Zulfan; Nizamuddin, Nizamuddin; Candra, Rudi Arif; Ilham, Dirja Nur; Nazaruddin, Nazaruddin
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6124

Abstract

As digital technology evolves, cyberattacks are becoming more diverse and difficult to detect. Conventional detection methods are often incapable of recognizing new and sophisticated attack patterns. Therefore, machine learning techniques are starting to be widely used because of their ability to study data patterns and detect unusual or anomalous activities. This study aims to systematically examine the effectiveness of various machine learning techniques in detecting anomalies as an effort to prevent cyberattacks. The research was conducted using the Systematic Literature Review (SLR) method on 20 scientific articles from reputable journals published between 2020 and 2025. The articles were selected through a search, selection, and analysis process following PRISMA guidelines. The results of the study show that algorithms such as Random Forest and Decision Tree consistently provide accurate detection results, especially in network systems and the Internet of Things (IoT). Meanwhile, deep learning techniques such as CNN and LSTM show high performance in handling large and complex data. However, challenges are still found in terms of data imbalances, high computing requirements, and lack of model interpretability. The conclusions of this study show that machine learning techniques are very promising for anomaly detection in cybersecurity, but an adaptive and easy-to-explain approach is needed. Researchers are further advised to develop models that are more efficient, transparent, and able to adapt to evolving cyber threats.
An Analysis of Psychological Trauma and Depression of Survivors in Recurring Disaster Suryana, Elvi; Nizamuddin, Nizamuddin; Sabti, Agus; Imran, Imran; Syahrul, Syahrul; Mawarpury, Marty
Jurnal Ilmiah Peuradeun Vol. 8 No. 3 (2020): Jurnal Ilmiah Peuradeun
Publisher : SCAD Independent

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26811/peuradeun.v8i3.511

Abstract

The study aimed to determine psychological trauma and depression in survivors of recurring disasters (the 2004 and 2012 earthquakes in Aceh). A quantitative approach was used as the research design, 2 villages located in Banda Aceh were taken as the samples involving 60 respondents from the two villages. The respondents' criteria were: 1) experiencing two earthquakes in 2004 and 2012, 2) aged over 30 years. Data collection used a modification of the Hamilton Anxiety Rating Scale questionnaire, depression scale, and demographic data. The results showed that there was no correlation between psychological trauma and depression in survivors of the recurring earthquake in Aceh. Besides, based on the results of data analysis, there was a correlation between symptoms (p≤0,000), occupation (p≤0,030), and age (p≤0,015) with psychological trauma; and there was no correlation between potential disasters (p≤0,075), family support (p≤0,002), education (p≤0,181) coping ability (p≤0,401), the value of faith (p≤0,266), and income (p≤0,830) with psychological trauma.