Abstract:Abstract: Basically, this region experiences growth every year. The negative impact of uncontrolled population growth will cause social inequality and poverty and affect the progress and prosperity of the region. Judging…
from the number of residents registered with the Population and Civil Registration Service, Siantar Martoba District has a fairly high population growth rate, so it is necessary to predict the future population. In making a prediction, a good method is needed to solve a problem. In this research, a backpropagation algorithm was used using five architectures, namely architecture 4-71-1, 4-31-1, 4-16-1, 4-72-1, 4-83-1. From the results of tests carried out using data on the population of Siantar Martoba, the best architecture was obtained, namely architecture 4-31-1 with a mean squared error for training of 0.00009960 and a mean squared error for testing of 0.000099957 and obtained an epoch of 14012 iterations with a time of 01 minutes 40 seconds. It was concluded that this method can predict the population of Siantar Martoba in the future using Matlab R2011a, thus obtaining a population of Siantar Martoba of 36470 people.
Keywords: architecture; backpropagation; pematangsiantar; population; welfare
Abstrak: Pada dasarnya, wilayah ini mengalami pertumbuhan setiap tahunnya. Dampak negatif pertumbuhan penduduk yang tidak terkendali akan menyebabkan kesenjangan sosial dan kemiskinan dan mempengaruhi kemajuan, kesejahteraan daerah tersebut. Dilihat dari jumlah penduduk yang terdaftar pada Dinas Kependudukan dan Pencatatan Sipil Kecamatan siantar martoba mempunyai laju pertumbuhan penduduk yang cukup tinggi, sehingga perlu dilakukan prediksi jumlah penduduk masa depan. Dalam melakukan sebuah prediksi dibutuhkan sebuah metode yang baik dalam menyelesaikan sebuah permasalahan, dalam penelitian ini digunakan algoritma backpropagation dengan menggunakan lima arsitektur yaitu arsitektur 4-71-1, 4-31-1, 4-16-1, 4-72-1, 4-83-1. Dari hasil pengujian yang telah dilakukan dengan menggunakan data jumlah penduduk siantar martoba diperoleh arsitektur terbaik yaitu arsitektur 4-31-1 dengan nilai mean squared error pelatihan 0.00009960 dan mean squared error pengujian 0.000099957 dan memperoleh epoch 14012 iterations dengan waktu 01 menit 40 detik. Disimpulkan bahwa metode ini dapat memprediksi jumlah penduduk Siantar Martoba di masa depan dengan menggunakan Matlab R2011a, sehingga memperoleh jumlah penduduk siantar martoba sebanyak 36470 Jiwa.
Kata kunci: arsitektur; backpropagation; pematangsiantar; kependudukan; kesejahteraan
Abstract:Abstract: Asahan District Social Service is one of the government agencies in Asahan District. This agency is tasked with serving the community and providing the best information for the community, especially in terms of…
data processing. One of the government programs used to tackle poverty is KUBE. In general, the problems that occur in KUBE are still not optimal and not on target, so that sometimes many residents protest because residents who should receive assistance do not receive assistance and conversely residents who should not have the right to receive assistance from the Joint Business Group (KUBE). By knowing the deficiencies found in the manual calculations carried out by the Asahan District Social Service. So that beneficiaries can be determined according to the criteria determined by the Asahan District Social Service. Then a system was created using the Weighted Product method to carry out accurate calculations in providing assistance made with the PHP programming language with MySQL Database, to create a new computerized decision support which is a good alternative by prioritizing effectiveness and efficiency in determining the provision of assistance to Joint Business Groups (Joint Business Groups). KUBE). The purpose of designing a Joint Business Group assistance decision system can assist Asahan Regency social service employees in determining the granting of Joint Business Groups (KUBE).
Keywords: decision support system; KUBE; weighted product (WP)
Abstrak: Dinas Sosial Kabupaten Asahan merupakan salah satu instansi pemerintah yang ada di Kabupaten Asahan. Badan ini bertugas untuk melayani masyarakat dan memberikan informasi terbaik bagi masyarakat terutama dalam hal pengolahan data. Salah satu program pemerintah yang digunakan untuk menanggulangi kemiskinan adalah KUBE. Secara umum permasalahan yang terjadi di KUBE masih belum optimal dan belum tepat sasaran, sehingga terkadang banyak warga yang protes karena warga yang seharusnya menerima bantuan tidak mendapatkan bantuan dan sebaliknya warga yang seharusnya tidak berhak mendapatkan bantuan dari Kelompok Usaha Bersama (KUBE). Dengan mengetahui kekurangan yang terdapat pada perhitungan manual yang dilakukan oleh Dinas Sosial Kabupaten Asahan. Sehingga dapat ditentukan penerima manfaat sesuai dengan kriteria yang ditentukan oleh Dinas Sosial Kabupaten Asahan. Tujuan dibuat sistem dengan menggunakan metode Weighted Product untuk melakukan perhitungan yang akurat dalam pemberian bantuan yang dibuat dengan bahasa pemograman PHP dengan Database MySQL, untuk membuat pendukung keputusan terkomputerisasi baru yang merupakan alternatif yang baik dengan mengutamakan efektifitas dan efisiensi dalam penentuan pemberian bantuan Kelompok Usaha Bersama (KUBE). Maka perancangan sistem keputusan bantuan Kelompok Usaha Bersama dapat membantu pegawai dinas sosial Kabupaten Asahan dalam menentukan pemberian Kelompok Usaha Bersama (KUBE).
Kata kunci: KUBE; sistem pendukung keputusan; weighted product (WP)
Abstract:Abstract : Corona virus is a very dangerous virus and can kill human life. This virus causes minor illnesses and serious illnesses such as colds or colds, since the emergence of the Corona Virus or Covid 19 paralyzing all…
l human activities carried out outside the home. The problem of this research is in the form of the impact of the corona virus on the economy, especially in the city of Batam so that the residents of Batam can overcome this corona virus outbreak to improve the weakening economy. The main objective of this research is to examine the impact of Covid 19 on the economy of the Batam population so that the Batam population can improve the already weakened economy. This study uses Fuzzy Inference Sistym the Mamdani Method for Decision Making, using Operators or through the process of Fuzification of Input Variables, Inference Machines to process rules and produce Defuzification to get the final value
Keywords: corona prediction fuzzy inference system; mamdani method
Abstrak:Virus Corona merupakan sebuah virus yang sangat berbahaya dan bisa menghilangkan nyawa manusia. Virus ini mengakibatkan penyakit ringan dan penyakit berat seperti common cold atau pilek, Sejak munculnya Virus Corona atau Covid 19 melumpuhkan semua kegiatan aktivitas manusia yang dilakukan diluar rumah. Permasalahan Penelitian ini berupa dampak akibat virus corona terhadap perekonomian khususnya pada Kota Batam sehingga penduduk Batam bisa mengatasi Wabah Virus corona ini untuk meningkatkan perekonomian yang semakin melemah. Tujuan Utama Penelitian ini mengkaji Dampak akibat Covid 19 terhadap perekonomian penduduk batam sehingga penduduk Batam bisa meningkatkan perekonomian yang sudah melemah. Penelitian ini menggunakan Fuzzy Inference Sistem Metode Mamdani untuk Pengambilan sistem Keputusan, menggunakan Operator Or dan melalui proses Fuzifikasi penentuan Variabel Input, Mesin Inferensi untuk melakukan proses aturan dan menghasilkan Defuzifikasi untuk mendapatkan nilai akhir.
Kata Kunci : fuzzy inference sistem; metode mamdani; prediksi corona
Abstract:The Independent Learning Campus Independent Program (MBKM) is a government initiative to improve the quality of higher education through off-campus learning activities, one of which is the Teaching Assistance program. This…
is study aims to describe the role of the Teaching Assistance program in improving the teaching competence of students of the Elementary School Teacher Education Study Program (PGSD). The study used a descriptive qualitative approach with data collection methods through interviews, observations, and documentation. The results of the study showed that the Teaching Assistance program significantly supported the improvement of four dimensions of student teaching competence, namely pedagogical, professional, personality, and social competence. Students gain direct experience in the world of education, practice teaching skills, prepare learning tools, and build positive communication and interaction with school residents. In addition, students also develop character and personality as prospective professional educators. Thus, the Teaching Assistance program has proven to be an effective strategy in preparing competent PGSD graduates who are ready to face the real world of education work.
Abstract:The research findings indicate that community participation from Duawutun and Wuakerong villages in the Hape Nulif tradition extends beyond mere physical presence, manifesting as structured and active involvement throughout…
out every stage of the ritual. The community demonstrates a high spirit of gotong royong (mutual cooperation), reflected in the clear distribution of roles among traditional leaders, youth figures, and women. This collective cooperation encompasses everything from ritual logistical preparations to the execution of core processions, which directly strengthens social cohesion and solidarity among residents. Substantially, this tradition serves as a space for articulating local cultural identity, bridging material and spiritual dimensions where reverence for ancestors and nature remains a central value. The intergenerational distribution of responsibilities ensures that every community member feels a profound sense of belonging toward the preservation of this local wisdom. Consequently, the Hape Nulif ritual becomes a crucial instrument in bolstering cultural resilience amidst modernization, while reaffirming the position of the Duawutun community as one that steadfastly upholds noble human values and togetherness within a sacred traditional framework.
Abstract:This research uses Pre-Experimental Design without control group with One Group Pretest-Posttest Design. The study was conducted in March 2021 in two districts that were confirmed to be inhabited by COVID-19 positive residents…
idents (Johan Pahlawan District and Meureubo District), West Aceh, Indonesia. Statistical analysis used: Hand-washing is one way to prevent COVID-19 transmission. This is essential because in this global pandemic, every community has the opportunity to catch COVID 19. The research objective was to determine the effectiveness of WASH educational collaboration on farmers as an attempt to COVID-19 prevention. The population in the study is all farmers who live in these mentioned districts. There were 37 farmers in total. The sampling method used total sampling, namely 37 farmers who live in the areas that are confirmed to have positive patients of COVID 19. Data were analyzed using Univariate, Bivariate (Dependent T-test) and Multivariate with using logistic regression. The result shows that there is a significant influence between the collaboration of WASH Education on farmers as an effort to prevent COVID-19 with a statistical test value of P-Value <0.05. Collaboration on WASH education for farmers is very influential in preventing COVID-19. It is hoped that cross-sectoral involvement and roles can be maintained so that COVID 19 prevention behavior through WASH can continue to be applied. Educative collaboration of WASH impacts on the behaviour alteration toward farmers who live in the area confirmed to be infected by COVID 19.
Abstract:On January 27 and 28 2023, Manado City was hit by heavy rain which caused several areas to experience significant flooding. The high intensity of rain during that period reached extreme levels, resulting in the inundation…
n of several areas and submerging hundreds of residents' houses in 22 villages or sub-districts and 7 sub-districts in Manado. In studying this event, this research investigates the factors that influence extreme weather in Manado, observing sea surface temperature data, streamlines, air observations, the Southern Oscillation Index (SOI), and the Indian Ocean Dipole (IOD). The analysis shows that the positive SOI and negative IOD phenomena significantly impact extreme weather in the region. Cumulonimbus (Cb) clouds drove the atmospheric conditions formed on January 27 and 28 2023 and air flows from the Indian Ocean which brought wet air masses into Indonesian territory. High sea surface temperatures, reaching 28-29°C, also play a role in the intensive growth of rain clouds. Based on atmospheric conditions seen from radiosonde observation data, the stability index value shows that unstable conditions trigger heavy rain which causes flooding