52 research outputs found
Penerapan Hukum Waris Adat Pada Perkumpulan Marga Sitompul Di Kota Pekanbaru
No full textAlong with the development and change of time, customary law is still used and not used. Development and change occur due to modernization and emancipation factors that arise with economic and political developments, science and technology which directly impact social awareness and human rights, this also creates a dynamic movement of the demands of human dignity. This situation also greatly affects girls who want to escape from the values of customary law, which are discriminatory in nature between the roles, rights and authorities of boys compared to girls. In the study of the writing of this thesis, there are 3 (three) main problems that the author raises, namely First, how are the provisions of the Inheritance of Assets according to Toba Batak Customs in their original area, second, how is the application of customary inheritance law at the Sitompul clan association in Pekanbaru city, and third, How is the development of the application of customary inheritance law at the Sitompul clan association in the city of Pekanbaru according to the area of origin. In this study, the author uses a sociological legal research method that is included in this type of observational research, namely by surveying or visiting directly to the research location using data collection tools, namely interviews and questionnaires with respondents. The results of the study indicate that the provisions of inheritance of wealth according to the Batak Toba custom in the area of origin still use the Patrilineal system. In whatever form, the inheritance of wealth is still firmly held and falls into the hands of the Toba Batak boys. And if someone does not have a male descendant, then the offspring is considered extinct and all property falls in the hands of the son's family according to the agreement of the Toba Batak Adat King. The position of daughters in the provisions of the Toba Batak Adat inheritance is not entitled to inheritance from their parents in any form. The application of traditional inheritance law at the Sitompul clan association in Pekanbaru generally still uses the Patrilineal system which always prioritizes boys compared to girls, because in the Sitompul clan customary system boys are Kings and are also descendants of the Sitompul clan. The development of the application of customary inheritance law at the Sitompul clan association in Pekanbaru City according to the area of origin is influenced by the times, in which the Sitompul clan community is familiar with western laws such as the Burgelijk Wetboek or better known in Indonesia the Civil Code. The Sitompul clan community uses this law a lot for justice in the distribution of inheritance to girls or boys, so that it does not cause discrimination between the roles, rights and authorities of boys compared to girls, as well as creating positive law enforcement in the middle. customary law of Marga Sitompul, Pekanbaru City
PENGGUNAAN PETA OLEH GURU PADA PROSES BELAJAR-MENGAJAR GEOGRAFI BIDANG STUDI IPS SEKOLAH DASAR :Studi Kasus di Tiga SD Kodya Bandung
No full textPENGGUNAAN PETA OLEH GURU PADA PROSES BELAJAR-MENGAJAR GEOGRAFI BIDANG STUDI IPS SEKOLAH DASAR : Studi Kasus di Tiga SD Kodya Bandung
No full textNilai Tukar Mata Uang, Inflasi Dan Pengaruhnya Terhadap Harga Pasar Di Indonesia Pada Masa Pandemi Covid 19
No full textAnhar Nurdiansyah Harahap1, Humaidi Sitompul2Ekonomi Islam/ S1/ Fakultas Ekonomi Dan Bisnis Islam/ Universitas Islam Negeri Sumatera Utara/ Medan/ Indonesia.ABSTRACT This research was conducted to obtain information related to currency exchange rates during the COVID-19 pandemic which affected many aspects, especially in the economy. The effect on market prices caused by inflation that occurs in the pandemic scheme is the content in the journal made by the author. This research is a quantitative research using secondary data obtained from BI and BPS. The data to be obtained is related to the prices of basic commodities in Indonesia area affected by the pandemic which has caused market prices to increase or decrease. The research method is by collecting data on the prices of basic commodities that are already in the data by BI and BPS. As a result, we will find out how currency exchange rates, inflation, and the effect on market prices during the pandemic in Indonesia . And to be able to find the root of the problem and the solution to create a stable market price.Keywords:Currency exchange rates; inflation; the market price of basic commodities; pandemi
INTERAKSI EDUKATIF DOSEN DENGAN MAHASISWA DALAM PEMBANGUNAN KARAKTER DI FAKULTAS ILMU SOSIAL – UNIMED
No full textPenelitian ini bertujuan untuk mengetahui pengaruh interaksi edukatif dosen dengan mahasiswa dalam pembangunan karakter atau budi pekerti mahasiswa melalui kegiatan perkuliahan di FIS Unimed Medan. Selain itu, penelitian ini juga diharapkan dapat menjadi bahan kajian bagi lembaga atau instansi terkait untuk selanjutnya dapat mengambil langkah-langkah konkrit untuk peningkatan kualitas dan intensitas pembinaan karakter atau budi perkerti mahasiswa dalam rangka membangun karakter bangsa Indonesia. Untuk mencapai tujuan penelitian di atas maka dalam penelitian ini digunakan pendekatan diskriptif kualitatif penulis berinteraksi secara aktif dalam proses pengumpulan data. Peneliti akan menggunakan intuisi dan merumuskan pertanyaan-pertanyaan dan melakukan pengamatan secara cermat. Untuk memahami makna perilaku dosen-dosen dan mahasiswa dalam berinteraksi peneliti akan melibatkan diri secara langsung dalam situasi sosial. Berdasarkan karakteristik pendekatan kualitatif, peneliti akan mengungkapkan makna dibalik suatu fenomena yang terjadi di FIS Unimed Medan khususnya fenomena yang berkaitan dengan interaksi edukatif dosen dengan mahasiswa dalam rangka pembinaan karakter atau budi pekerti mahasiswa. Hasil akhir dari penelitian ini adalah peningkatan pembangunan karakter mahasiswa dalam hal ini adalah karakter atau budi pekerti mahasiswa melalui interaksi edukatif dosen di dalam proses pembelajaran di Fakultas Ilmu Sosial Unimed. Hasil penelitian ini menujukkan bahwa karakter mahasiswa FIS Unimed dalam perkuliahan telah menunjukkan karakter yang baik hal tersebut terlihat dari indikator religi, toleransi, disiplin, tanggung jawab, peduli, hormat dan jujur
Using Artificial Neural Network to Provide Realistic Lifting Capacity in the Mobile Crane Simulation
No full textSimulations are often used for training novice operators to avoid accidents, while they are still polishing their skills. To ensure the experience gained in the simulation be applicable in real-world scenarios, the simulation has to be made as realistic as possible. This paper investigated how to make the lifting capacity of a virtual mobile crane behave similarly like its real counterpart. We initially planned to use information from the load charts, which document how the lifting capacity of a mobile crane works, but the data in the load charts were very limited. To mitigate this issue, we trained an artificial neural network (ANN) using 90% of random data from two official load charts of a real mobile crane. The trained model could predict the lifting capacity based on the real-time states of the boom length, the load radius, and the counterweight of the virtual mobile crane. To evaluate the accuracy of the ANN predictions, we conducted a real-time experiment inside the simulation, where we compared the lifting capacity predicted by the ANN and the remaining 10% of the data from the load charts. The results showed that the ANN could predict the lifting capacity with small deviation rates. The deviation rates also had no significant impact on the lifting capacity, except when both boom length and load radius were approaching their maximum states. Therefore, the predicted lifting capacity generated by the ANN could be assumed to be close enough to the values in the load charts.This is an Author Accepted Manuscript version of the following chapter: S. Roysson, T. A. Sitompul, and R. Lindell, Using Artificial Neural Network to Provide Realistic Lifting Capacity in the Mobile Crane Simulation, published in Proceedings of the 22nd Engineering Applications of Neural Networks Conference, edited by L. Iliadis, J. Macintyre, C. Jayne, and E. Pimenidis, 2021, Springer reproduced with permission of Springer. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-80568-5 37.ImmerSafe - Immersive Visual Technologies for Safety-critical Application
Aplikasi Pengenalan Jenis-Jenis Hama dan Penyakit pada Tanaman Jeruk Berbasis Android
No full textAt the present time, the development of science and Computer Engineering is required to get
a Most recent information. At current computers are widely used by educational institutions
and companies, both private and public, and in many fields of work required. In the
Application Development Introduction Types of Pests and Diseases of Citrus Based On
Android, the authors find a variety of information from various sources and get pengetahuam
about how to convert learning is good and right. So after indormasi obtained, the information
is developed. For that the author designed the application Application Introduction Types of
Pests and Diseases of Citrus Based On Android this in order users can easily and practically
did learning about tackling pests and diseases on citrus plants properly.114 HalamanKertas Karya Diplom
Kombinasi K-Nearest Neighbor (K-NN) dengan Seleksi Fitur Menggunakan Algoritma Relief-F dalam Klasifikasi Data
No full textiIn several previous studies, accuracy of K-Nearest Neighbor (KNN) iobtained a less ithan maximum accuracy value when compared to other methods. iAs for the causes of ithis, one of which is ibecause ieach iattribute ihas ithe isame iimpact ion ithe iclassification iprocess, iwhile isome characteristics that are iless irelevant cause misclassification in idetermining ithe iclass ifor inew idata. Then iin ithis istudy, the author proposes to K-iNearest Neighbor ithat iattribute iselection ibe icarried iout ito iremove iless irelevant iattributes ibefore icarrying iout ithe iclassification iprocess. iThe iattribute iselection imethod iused iin ithis istudy iis ithe iRelief-F iAlgorithm ias ia imethod ifor attribute iselection whose correlation is not igood ifrom ithe idataset ibeing itested. iThe accuracy iresults iobtained iwill ibe icompared iwith ithe iaccuracy iobtained ifrom ithe iconventional iKNN method using iConfusion Matrix. iThe itest iresults iobtained iare ithat ithe iproposed imethod iis iable ito iincrease ithe iclassification iaccuracy iof iKNN, iwhere ithe iincrease iin iaccuracy iobtained iafter ithe iattribute iselection iis i2.02%.79 HalamanTesis Magiste
Pembangkit Fungsi Keanggotaan Fuzzy Otomatis Menggunakan Neural Network
No full textIn this study the author used an algorithm Backpropagation Neural Network
(BPNN) to generate automatically fuzzy membership functions, in order to obtain
a more precise membership functions according to the data provided.
Backpropagation neural network algorithm is one of the algorithm supervised
learning, this learning need supervision in the learning process. One of the
important factor in BPNN learning is the number of input variables. To get the
better result we have to used more input variables. In this study, only one initial
input variables have to be used, according to the dataset used, so as to get the
better result added two new initial input variables, namely x
ABSTRACT
2 and x3. Variable x2
be obtained by using the algorithm additional. It’s called Kohonen algorithm
(SOM). The variable x3 be obtained by using the formula (x2 - index (i)).
Moreover than, the Kohonen algorithm is also used to get the output value will be
used as input process to the algorithm BPNN training. From the results of
research by the author, the BPNN algorithm have to automatically generate
membership functions at the beginning of one variable, using the Kohonen
algorithm to obtain additional initial input variables.
Keywords : Fuzzy, Membership Function, BPNN, Kohonen (SOM).Dalam penelitian ini penulis menggunakan algoritma Backpropagation Neural Network (BPNN) untuk membangkitkan fungsi keanggotaan fuzzy secara otomatis, agar didapatkan fungsi keanggotaan yang lebih tepat sesuai dengan data yang diberikan. Algoritma backpropagation neural network merupakan salah satu algoritma pembelajaran supervised learning, yaitu pembelajaran yang membutuhkan pengawasan dalam proses pembelajarannya. Salah satu faktor penting dalam pembelajaran BPNN adalah jumlah variabel input. Semakin banyak variabel input yang digunakan, maka akan semakin bagus target yang didapatkan. Dalam penelitian ini, variabel input awal yang digunakan hanya satu variabel, sesuai dengan dataset yang digunakan, sehingga untuk mendapatkan hasil target yang lebih baik ditambahkan dua variabel input awal yang baru, yaitu x2 dan x3. Variabel x2 didapatkan dengan menggunakan algoritma tambahan yaitu algoritma kohonen (SOM), sedangkan variabel x3 didapatkan dengan menggunakan rumus x2 – indeks (i). Selain itu algoritma kohonen juga digunakan untuk mendapatkan nilai output yang akan dijadikan sebagai input proses pelatihan pada algoritma BPNN. Dari hasil penelitian yang penulis lakukan, algoritma BPNN dapat membangkitkan fungsi keanggotaan secara otomatis pada satu variabel awal, dengan menggunakan algoritma kohonen untuk mendapatkan variabel input awal tambahan.
Kata Kunci : Fuzzy, Fungsi Keanggotaan, BPNN, Kohonen (SOM).183 HalamanTesis Magiste
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