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Evaluasi Kesesuaian Penggunaan Lahan Berdasarkan Kemampuan Lahan dengan Metode Skoring di Kabupaten Aceh Besar Muzailin Affan; Fadhil Hidayatullah; Dahlan Dahlan
Jurnal Serambi Engineering Vol 7, No 4 (2022): Oktober 2022
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v7i4.5024

Aceh Besar District is designated as an Integrated Economic Development Zone (KAPET) with the potential for rapid economic and regional development. This has an effect on the demand for land and housing for development which at any time can increase sharply, if not accompanied by certain policies and considerations it can cause a decrease in land capacity and affect the sustainable development of the area. The demand for more rapid development can lead to uncontrolled land-use change, changes in spatial use, and trigger disasters that affect community economic development. This study aims to evaluate the suitability of land use based on the ability of the land to use spatial data in Aceh Besar District. This study uses the scoring method for spatial analysis that refers to the Permen PU No. 20 / PRT / M / 2007. The results showed that the land capability unit of Aceh Besar District had an average weight of 3, except for the land capability of the carrying capacity and foundation stability was less with a weight of 2-3. The land capability value of the Aceh Besar Regency is 71-121, with the highest land capability class being class c (value 83-109) covering an area of 215,861.16 Ha or 74.96% and is included in the medium development classification. The suitability of land use in Aceh Besar District has a high level of land-use suitability with an area corresponding to 277.887,38 Ha or 96,56% and an area according to conditionally covering 9.895,94 Ha or 3.44%, while the level of land use mismatch in Aceh Besar District is classified as low with an area of 2,15 Ha or 0,0007%.

Web-Based Geographic Information System on the Covid-19 Vaccine in Banda Aceh City Muzailin Affan; Fadhil Hidayatullah; Dahlan
International Journal of Seocology Volume 04, Issue 01 : September - December 2022
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/seocology.v4i01.78

The influence of the development of information technology makes it easier for anyone to share and obtain information, one of which is information regarding the COVID-19 vaccination. The RI Ministry of Health has provided information regarding COVID-19 vaccination in the form of a WEBGIS, however, the website still has several deficiencies such as the unavailability of data on COVID-19 vaccination achievements per sub-district and village, does not provide information regarding the distribution of vaccination locations and routes to vaccination locations, and does not provide a form for registration of vaccinations. Therefore, we need a system that can overcome these deficiencies, especially for the City of Banda Aceh. This WEBGIS development uses Laravel as a Framework, Leaflet as a library and MariaDB as a database. The COVID-19 Vaccination WEBGIS for Banda Aceh City can provide information on vaccination achievements per sub-district and village in the form of graphs and thematic maps which are grouped into 3 color classes according to vaccination achievements. In addition, this WEBGIS also provides information on the distribution of vaccination locations along with routes to these locations. This WEBGIS also makes it easier for people who want to vaccinate because a form is available to register for vaccination. The Health Office also gets convenience in terms of data management and printing of vaccination data. WEBGIS has carried out usability testing on users. This usability test involved 30 respondents using 30 questions from the USE (Usefulness, Satisfaction, and ease of use) Questionnaire method which were divided into 4 sections. The results of this WebGIS test obtained an average score of 88.67%, which means that this WEBGIS is included in the very decent category.

Strategi Keberlanjutan Pembangunan Energi Terbarukan Jangka Panjang Indonesia: Kasus Biomassa Energi Terbarukan di Sektor Pertanian, Perkebunan dan Kehutanan Indonesia Radhiana Radhiana; Syaifuddin Yana; Muzailin Affan; Zainuddin Zainuddin; Susanti Susanti; Kasmaniar Kasmaniar; Filia Hanum
Jurnal Serambi Engineering Vol 8, No 1 (2023): Januari 2023
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v8i1.5674

Until 2050, it is certain that Indonesia will continue to rely on fossil fuels. To lessen its dependence on diminishing fossil fuels, Indonesia is still searching for alternate energy sources. Considering the continuing fall in oil output, the development of alternative and renewable energy sources is crucial in order to eliminate reliance on imports. Indonesia has been encouraged to create long-term renewable energy to meet the community's energy needs by of enormous natural resource potential. This country with the moniker “megadiversity” must be cautious when assessing the possibilities of renewable energy sources derived from raw resources, particularly biomass energy. Agriculture, plantations, and forestry are the sectors that have the most potential to be utilized as biomass energy. The results of the debate indicate that agricultural waste has an annual energy potential of 614,7 million GJ. In addition, forest biomass has an annual energy potential of 141,500,000 GJ, and plantation crops also have the ability to be used as biomass energy.

Spatial Statistic Analysis of Earthquakes in Aceh Province Year 1921-2014: Cluster Seismicity Muzailin Affan; Muhammad Syukri; Linda Wahyuna; Hizir Sofyan
Aceh International Journal of Science and Technology Vol 5, No 2 (2016): August 2016
Publisher : Graduate Program of Syiah Kuala University

The purpose of this study is to apply the analysis of spatial patterns of earthquakes in the province of Aceh by detecting clusters and looking for spatial patterns locally and globally during the period 1921-2014 using GIS (Geographic Information System). The selected techniques are Average Nearest Neighbor, Moran Global Index, the Getis-Ord General G, Anselin Local Moran Index, the Getis-Ord Gi*, and Kernel Density Estimation. Each technique is implemented using GIS so that calculations can be done efficiently and quickly. The results of this study indicate that (1) The techniques can detect clusters of dots on the spatial pattern of earthquakes; (2) Both globally and locally, it shows that earthquakes clustered in the southwestern heading to the northern part of the province; (3) An earthquake with a greater magnitude generally concentrated in the district of Simeulue, the western part of Aceh Besar and northwest of Sabang

Strategi Keberlanjutan Pembangunan Energi Terbarukan Jangka Panjang Indonesia: Kasus Biomassa Energi Terbarukan di Sektor Pertanian, Perkebunan dan Kehutanan Indonesia Radhiana Radhiana; Syaifuddin Yana; Muzailin Affan; Zainuddin Zainuddin; Susanti Susanti; Kasmaniar Kasmaniar; Filia Hanum
Jurnal Serambi Engineering Vol 8, No 1 (2023): Januari 2023
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v8i1.5674

Until 2050, it is certain that Indonesia will continue to rely on fossil fuels. To lessen its dependence on diminishing fossil fuels, Indonesia is still searching for alternate energy sources. Considering the continuing fall in oil output, the development of alternative and renewable energy sources is crucial in order to eliminate reliance on imports. Indonesia has been encouraged to create long-term renewable energy to meet the community's energy needs by of enormous natural resource potential. This country with the moniker “megadiversity” must be cautious when assessing the possibilities of renewable energy sources derived from raw resources, particularly biomass energy. Agriculture, plantations, and forestry are the sectors that have the most potential to be utilized as biomass energy. The results of the debate indicate that agricultural waste has an annual energy potential of 614,7 million GJ. In addition, forest biomass has an annual energy potential of 141,500,000 GJ, and plantation crops also have the ability to be used as biomass energy.

Comparative Analysis of Wind Energy Potential with Nakagami and Weibull Distribution Methods for Wind Turbine Planning Suriadi, Suriadi; Nabilah, Muna; Zainal, Muzakir; Yanis, Muhammad; Marwan, Marwan; Affan, Muzailin
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.12.1.30736

Wind energy is renewable energy used as an energy source for wind power plants (PLTB). The most common distribution method used to model wind speed distribution data is the Weibull distribution. The Nakagami distribution has begun to be widely used in several studies to model wind speed distribution data. The Nakagami distribution is considered an alternative to the Weibull distribution in modeling wind speed distribution data. This study aims to compare the distribution of Nakagami and Weibull in analyzing wind power potential and calculating the resulting Wind Energy Production (WEP), using wind speed distribution data from both distributions in Kuta Raja, Banda Aceh and Lhoknga, Aceh Besar. The wind speed data used is satellite data (secondary data) downloaded via windguru.cz, with the most stable wind speed being a wind speed of 3-5 m/s. The value of wind power potential at the Kuta Raja location, Banda Aceh was obtained at 64.16% with the Nakagami distribution and 62.73% with the Weibull distribution, and 73.60% with the Nakagami distribution and 73.28% at the Lhoknga location, Aceh Besar. The comparison of these two distributions produces a Weibull distribution that is superior to the Nakagami distribution for both locations, where the Weibull distribution has a smaller error value and produces a WEP value that is in accordance with the actual/observable data compared to the Nakagami distribution. In this study, the Nakagami distribution has results that make this distribution an alternative or comparison to the Weibull distribution in distributing wind speed data with further research.

Developing a Spatial Mathematical Model for Assessing the Rate of Natural Forest Changes Dahlan, Dahlan; Jaya, I Nengah Surati; Saleh, Muhammad Buce; Puspaningsih, Nining; Affan, Muzailin
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.12.1.31703

Establishing a spatial mathematical model that uses diverse data types such as ratio data, interval data, and ordinal and nominal data is a challenge. This paper describes how the mathematical model of the rate of natural forest cover change was developed by considering the causes and/or driving forces that come from the society's biophysical and/or socioeconomic aspects. The main objective of this research is to establish a spatial mathematical model using the environmental and socioeconomic variables that play a significant role in determining the rate of natural forest cover change. From a number of variables considered in the analysis, coupled with any other reason, the rate of natural forest cover change (y), in units of ha per year), this study found that there are 10 potential variables, namely the proximity of the road (x4), the proximity of the river (x5), the proximity of the settlement (x6), proximity from the regency capital (x8), the proximity of the capital city of the district (x9), proximity of the edge of the forest in 2015 (x11), the proximity of the plantation area in 2009 (x12), the proximity of the plantation in 2015 (x13), slope class (x16), and elevation class (x17). The standardization process successfully transformed the non-ratio data type into a ratio data type. Using the standardized data, the study obtained spatially mathematical models that are reliable in estimating the rate of forest cover change, namely y = 0.017 + 0.00040x9 with SR of 17.3% and R2 is 88.0%. The study concludes that the most significant factor affecting the natural forest cover change in the study site is the proximity from sub-district capital (x9). Therefore, a spatial mathematical model can facilitate the government in monitoring forest cover.

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