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MODELING AND SIMULATION OF TRAFFIC FLOWS ON INCLINED ROAD DURING EVACUATION PROCESS OF THE VOLCANO DISASTER WITH FINITE DIFFERENCE METHOD Richasanty Septima; Said Munzir; Salmawaty Salmawaty
Jurnal Natural Volume 17, Number 1, March 2017
Publisher : Universitas Syiah Kuala

The research in this thesis was done to examine the model of traffic flow of volcanic disaster evacuation path for uphill and downhill roads. The assessment was focused on the area of disaster evacuation path from the Pante Raya Bener Meriah intersection to Takengon. This model is assessed for two different types of time when which a disaster occurs; the disaster occurred at night and the disaster occurred during the day, especially during peak hours (working hours). The model was developed with attention to the exixtence of inflow and outflow along the evacuation route. Furthermore, the model obtained is solved numerically by using finite difference method. The chosen approach of this method is upwind scheme with time and space steps using forward difference and backward difference. The solution of this model in the form of simulated vehicle density along evacuation pathways. The research conducted is in the form of a model of traffic flow on evacuation paths and restricted to the inflow and outflow without alternative path as well as the conditions of the road which are uphill and downhill, showed a high density of vehicles either at night or during the day. Uphill road conditions resulted in decreased vehicle speed and vehicle density will increase, while downhill road conditions resulted in increased vehicle speed and vehicle density will decrease, meaning that the road conditions which are uphill and downhill will greatly affect the process of evacuation. Degree vehicles of evacuation efficiency occuring at night without an alternative pathway produces a high efficiency so that it can be interpreted that the evacuation process in the evening was successful and runs better than the evacuation process during the day, and this is caused by the existence of vehicles on the road evacuation process started thus affecting the efficiency levels. Keywords : Traffic flows, finite difference method, upwind scheme method, forward difference, backward difference, greenshield method, uphill road, downhill road.

MODELING AND SIMULATION OF TRAFFIC FLOWS ON INCLINED ROAD DURING EVACUATION PROCESS OF THE VOLCANO DISASTER WITH FINITE DIFFERENCE METHOD Richasanty Septima; Said Munzir; Salmawaty Salmawaty
Jurnal Natural Volume 17, Number 1, March 2017
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v17i1.6513

The research in this thesis was done to examine the model of traffic flow of volcanic disaster evacuation path for uphill and downhill roads. The assessment was focused on the area of disaster evacuation path from the Pante Raya Bener Meriah intersection to Takengon. This model is assessed for two different types of time when which a disaster occurs; the disaster occurred at night and the disaster occurred during the day, especially during peak hours (working hours). The model was developed with attention to the exixtence of inflow and outflow along the evacuation route. Furthermore, the model obtained is solved numerically by using finite difference method. The chosen approach of this method is upwind scheme with time and space steps using forward difference and backward difference. The solution of this model in the form of simulated vehicle density along evacuation pathways. The research conducted is in the form of a model of traffic flow on evacuation paths and restricted to the inflow and outflow without alternative path as well as the conditions of the road which are uphill and downhill, showed a high density of vehicles either at night or during the day. Uphill road conditions resulted in decreased vehicle speed and vehicle density will increase, while downhill road conditions resulted in increased vehicle speed and vehicle density will decrease, meaning that the road conditions which are uphill and downhill will greatly affect the process of evacuation. Degree vehicles of evacuation efficiency occuring at night without an alternative pathway produces a high efficiency so that it can be interpreted that the evacuation process in the evening was successful and runs better than the evacuation process during the day, and this is caused by the existence of vehicles on the road evacuation process started thus affecting the efficiency levels. Keywords : Traffic flows, finite difference method, upwind scheme method, forward difference, backward difference, greenshield method, uphill road, downhill road.

Pemetaan Wilayah Persebaran Padi dan Kopi dengan Quantum Geographic Information System Versi 3.12.2 Ira Zulfa; Fajrillah; Richasanty Septima; May Handri; Ida Zulfida; Lili Suryati
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 3 No. 6 (2023): RESOLUSI July 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v3i6.1005

QGIS is a Geographic Information System (GIS) software used to analyze and map geographic data. In the context of mapping the distribution of rice and coffee, QGIS can be used to extract spatial data related to factors such as soil type, climate, elevation, or other environmental factors that affect the distribution and growth of these plants. analyzed. This study used QGIS software version 3.12.2 to map the distribution areas of rice and coffee. Rice and coffee are two important crops in agriculture and understanding their distribution can help in farm management and planning. The mapping methods used may include spatial data analysis, including using available spatial data such as satellite imagery or field data to identify and map areas suitable for rice and coffee cultivation and production. Paddy and coffee line mapping can provide an overview of growth patterns, availability of suitable land, or other environmental factors that affect the production of these crops. This information can be used in making decisions about agricultural development, resource allocation or sustainable development planning. ith using QGIS, agricultural researchers or practitioners can combine data from various sources, including satellite imagery, field data, or other data, to build maps that depict areas where rice and coffee grow well. This information can provide insight into crop distribution patterns, identify potential areas for agricultural development, or assist in making decisions regarding agricultural land management.

Comparative Investigation of Activity Rendering Utilizing Eevee, Cycles, and Radeon ProRender Procedures in Blender Applications Ira Zulfa; Richasanty Septima; Iryana Rezeki; Rayuwati Rayuwati
International Journal of Information Engineering and Science Vol. 2 No. 1 (2025): International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i1.147

The development of mixed-media technology has produced a variety of high-quality 3D animation techniques. This study examines the performance of three rendering techniques—Eevee, Cycles, and Radeon ProRender—based on rendering speed, visual quality, and memory efficiency. Tiga show 3D is rendered using the aforementioned ketiga technique and is compared in terms of speed, record size, bayangan, cahaya effect, and warning ketetapan. As a result, Eevee is unggul in kecepatan, while Cycles has the best visual quality, albeit being more lambat. Radeon ProRender provides impressive results, but it also excels in bayangan quality and cahaya effect. The use of Blender is recommended based on memory efficiency, graphic quality, or speed priorities.

Pegolahan Jenis Sampah untuk Mengurangi Volume Sampah di Desa Asir-Asir Kecamatan Aceh Tengah Ira Zulfa; Richasanty Septima; Eliyin Eliyin; Muhamad Yustisar
Jurnal Publikasi Manajemen Informatika Vol. 4 No. 1 (2025): JURNAL PUBLIKASI MANAJEMEN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupumi.v4i1.3649

In many areas, such as Asir-Asir Village, waste is a major problem. Analyzing the most common categories of waste and assessing waste management initiatives to reduce the amount of waste in the village were the objectives of this study. Data regarding waste composition, collection systems, and waste disposal were collected using survey, interview, and observation techniques. The results showed that most of the waste in Asir-Asir Village is organic waste. Waste segregation at source is one of the management initiatives that have been carried out, but organic waste processing still faces challenges. Based on these results, this study suggests several tactical steps to improve the effectiveness of waste management, including enhancing composting programs, creating waste banks, and encouraging social interaction to educate the community on the value of environmentally friendly waste management. As a result, it is expected that Asir-Asir Village will have a cleaner and healthier environment with less waste going to landfill.

User Satisfaction Analysis of QGIS and CarryMap Using End User Computing Statisfaction and User Centered Design Methods Ira Zulfa; Richasanty Septima; Muhamad Yustisar; Rapiah Rapiah
International Journal of Computer Technology and Science Vol. 2 No. 2 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i2.240

Using End User Computing Satisfaction (EUCS) and User Centered Design (UCD) methods, this study investigated user satisfaction with QGIS and CarryMap. The research objective was to deploy elements such as content, accuracy, ease of use, and timeliness. A survey of students and teachers showed that users were more satisfied with the latest versions of both applications. The findings show that the user interface and functionality have evolved, which indicates the direction of future development of mapping applications.

Comparison of Multiple Linear Regression, Backpropagation and Fuzzy Mamdani Methods in Predicting the Revenue of PLN Takengon Unit Richasanty Septima; Hendri Syahputra; Husna Gemasih
International Journal of Electrical Engineering, Mathematics and Computer Science Vol. 2 No. 2 (2025): International Journal of Electrical Engineering, Mathematics and Computer Scien
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v2i2.263

The performance of data mining techniques has been proven accurate in many studies, but each method in data mining techniques has different accuracy depending on the type of data that is the object of research. Methods in data mining techniques are divided into several functions, namely: clustering, association, classification, and prediction, where each data mining technique objective has a superior method. Therefore, in this case the author will compare the performance of the multiple linear regression method, and neural networks with fuzzy mamdani in predicting the income of PLN Unit Takengon. In several studies, the Backpropagation method shows the highest accuracy compared to other methods. Then the prediction model with multiple linear regression also has the highest accuracy as well as the Fuzzy Mamdani method has high accuracy too. Therefore, the purpose of this study is to compare the three methods, so that it can be determined which method has a higher accuracy value. The results of this study indicate that the Back propagation method has the highest accuracy and the lowest average error, namely a MAPE value of 5.9% with an accuracy of 94.1% and an RMSE of 14398.14, followed by the multiple linear regression method obtaining a MAPE value of 6.9% with an accuracy of 93.1% and an RMSE of 15527.41, then for Fuzzy Mamdani obtaining a MAPE value of 7% with an accuracy of 93% and an RMSE of 16077.76.

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