55 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
Nilai 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
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
Aplikasi Pembelajaran Identitas Negara-Negara Benua Asia pada Platform Android
No full textIdentity of the state is essentially a manifestation of cultural values that grow and
thrive in various aspects of life of a people with distinctive characteristics. With these
unique characteristics, a different nation with other nations in life and living. Thus the
identity of a country is the hallmark of which is mandatory to be preserved by every
member of the community. But can shift the value of it's own identity when that
identity is not understood and preserved, resulting in global identity would affect the
value of the country's identity. In accordance with this, the author got the idea to
create a learning application using the advances in information technology that can be
easily and exciting to use. Applications created using the development of information
technology in the field of operating systems, the open source Android operating
system. In the manufacture of Learning Application Identity Asian Continent
Countries In Android Platform, the authors find data and information to develop
learning applications. To the authors designed this application so that users can
effectively carry out learning about the identity of the countries in the continent of
Asia.
Universitas164 HalamanKertas Karya Diplom
Planning for Oil Heating Tools on Burner Injectors
No full text65 HalamanDalam membantu pekerjaan petani untuk menggeringkan hasil pertanian mereka
maka penulis merencanakan suatu mesin pemanas dan dinamakan dengan injector burner.
Mesin pemanas ini mempuyai alat pendukung: - injector, nozzle
dan pendukug lainnya : - pipa besi sepanjang 90 cm, plat - plat besi secukupnya
kerena mahalnya bahan bakar minyak dan langkahnya bahan bakar minyak maka penulis
menggunakan bahan bakar oli sebagai bahan bakarnya. Cara kerja injektor burner ini
ialah minyak dari tangki minyak masuk kedalam saringgan minyak setelah itu masuk
kepompa injeksi kemudian pompa injeksi dipompa oleh nockas yang diputar oleh motor
listrik kemudian menuju ke nozzle yang berguna sebagai pengguat bahan bakar.
Mesin pemanas ini adalah mesin sederhana dan peraktis karena dapat
menghasilkan pemhakar m selama 1 1/2 jam sebanyak I liter bahan bakar. selama
penggunaan mesin injektor burner ini masi ianyak kekurangan dalam konstruksinya. Jadi
pengujian dan percobaan secara terns menerus untuk menghasilkan suatu produk yang
semakin baik sangat diperlukan.
Selama. pengamatan dilapangan ada beberapa hal yang dapat disarankan di
antaranya : Adanya kekuranggan yang terlihat dari pihak coordinator yang kurang
memperhatikan keamanan dan keselamatan para pckci:janya. karena masih bany.ak
pekerja yang enggan menggunakan sefty kerja.
Dalam tugas akhir penulis mendapati bahwa pekerjaan perencanaan harus mampu
menjelaskan pengetahuan yang diperoleh dari bangku perkuliahan secara tertulis atau
literatur dengan penerapan di lapangan.
In helping farmers work to dry their agricultural products
So the author planned a heating machine and called it an injector burner.
This heating machine has supporting tools: - injector, nozzle
and other supports: - 90 cm long iron pipe, sufficient iron plates
because fuel oil is expensive and how to use fuel oil, the author
uses oil as fuel. How this burner injector works
is that the oil from the oil tank enters the oil filter after which it enters
the injection pump then the injection pump is pumped by the nockas which is rotated by the motor
The electricity then goes to the nozzle which is useful as a fuel booster.
This heating machine is as simple and practical as it can be
produces 1 liter of fuel in 1 1/2 hours. during
The use of this burner injector machine still has many shortcomings in its construction. So
continuous testing and experimentation to produce a product that is
getting better is very necessary.
During. From field observations there are several things that can be suggested
including: There are visible shortcomings on the part of the coordinator who is lacking
pay attention to the security and safety of pckci:janya. because there are still many
workers who are reluctant to use work security.
In the final project the author finds that planning work must be capable
explain the knowledge gained from lectures in writing or
literature with application in the field
Implementasi Deteksi Tepi Prewitt dan Algoritma Backpropagation untuk Pengenalan Motif Songket Palembang
No full textIndonesia memiliki beragam kain tradisional yang berbeda di setiap daerah, salah
satunya songket Palembang. Saat ini tidak banyak orang yang mengetahui jenis motif
kain songket Palembang karena kain songket Palembang memiliki motif yang
kompleks, maka dibutuhkan suatu metode yang dapat digunakan untuk membedakan
jenis motif kain songket yang beragam sehingga mudah untuk mengetahui jenis dari
tiap motif tersebut. Hal ini yang mendasari pemanfaatan metode jaringan saraf tiruan
untuk dapat mengenali motif songket Palembang tersebut. Pada penelitian ini penulis
akan menggunakan operator deteksi tepi Prewitt dan algoritma Backpropagation
untuk membuat aplikasi yang dapat mengenali motif songket Palembang tersebut.
Hasil dari penelitian ini dengan learning rate 0,5 dan maksimum epoch 200 didapat
persen akurasi sebesar 72,7% dengan data uji sebanyak gambar 16 songket dan 6
gambar bukan songket didapat hasil sebanyak 16 gambar sesuai dengan target input
menunjukkan bahwa operator deteksi tepi Prewitt dan algoritma Backpropagation
dapat digunakan untuk pengenalan pola songket Palembang.Indonesia has variety of different traditional fabrics in each region, one of which is
Palembang songket. Currently, not many people knows that the type of songket
Palembang stripes and shades, it takes a method that can be used to distinguish the
variety stipes and shades of songket so we can spot the differencies. This underlying
the use of artificial neural network method to be able to recognize the stripes and
shades of songket Palembang. The author will use the Prewitt Edge Detection and
Backpropagation algorithm to create an application that can recognize the differency
of each Palembang songket. The result of this study with learning rate 0.5 and
maximum of epoch 200 obtained 72.7% of accuracy percentage with 16 test data
songket images and 6 test data not songket images obtained 16 images result
according to target input indicates that the operator Prewitt Edge Detection and
Backpropagation algorithm can be used for pattern songket Palembang recognition.85 HalamanSkripsi Sarjan
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