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Analisis Metode Saw Dalam Merekomendasikan Calon Atlet Bulutangkis PBSI Cabang Kisaran Dahriansah, Dahriansah
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 3, No 1 (2020): February 2020
Publisher : JOURNAL OF SCIENCE AND SOCIAL RESEARCH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.844 KB) | DOI: 10.33330/jssr.v3i1.368

Abstract

This study aims to recommend the best Badminton Athlete Candidates in the PBSI branch of the Range based on the criteria determined using decision support system techniques. This multi-criteria decision making technique is based on the theory that each alternative consists of a number of criteria that have values and each criterion has weight that illustrates how important these criteria are with other criteria. The final results obtained from this decision support system will provide an alternative, to recommend the selection of PBSI Badminton Athlete Candidates in the Kisaran branch. The Name of the Best Badminton Athlete According to the Saw Method Calculation is the Mr.A Badminton Candidate Code with a weight of 0.9 Getting First Place.
PERANCANGAN KONTROL ROBOT PEMOTONG RUMPUT Hutagalung, Jhonson Efendi; Dahriansah, Dahriansah
Riau Journal Of Computer Science Vol. 5 No. 2 (2019): Riau Journal of Computer Science
Publisher : Riau Journal Of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (211.635 KB)

Abstract

To open a new land, it is necessary to clear land from grass plants that surround the land, so we need to cut grass quickly. If you still use traditional equipment, the work will be long and require a lot of workers to complete it. So the author here makes a machine or robot that can later finish cutting the grass quickly and also does not require many workers even though the land is so vast. This robot is controlled by a voice command so that the robot can move in accordance with the commands we take to the smartphone. As long as the robot moves forward, turn, turn left and turn right then the grass cutter knife will spin to cut the grass. The results of this study are a prototype / miniature of a lawn mower robot that has been tried by cutting grass but on a mini scale because it is still the initial model of the system that will be planned to be real for future research
Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Pada Aliyah Aras Kabu Agung Tanjungbalai Menggunakan Metode AHP Dahriansah Dahriansah; Andri Nata; Indra Ramadona Harahap
Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Vol 3, No 1 (2020): J SISKO TECH EDISI JANUARI
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jsk.v3i1.199

Abstract

Penelitian ini bertujuan untuk merekomendasikan siswa berprestasi pada Aliyah Aras Kabu Tanjungbalai berdasarkan kriteria yang ditentukan dengan menggunakan teknik sistem pendukung keputusan.. Teknik pengambilan keputusan multi kriteria ini didasarkan pada teori bahwa setiap alternatif terdiri dari sejumlah kriteria yang memiliki nilai-nilai dan setiap kriteria memiliki bobot yang menggambarkan seberapa penting kriteria tersebut dengan kriteria lain. Hasil akhir yang diperoleh dari sistem pendukung keputusan ini akan memberikan suatu alternatif, untuk merekomendasikan siswa berprestasi pada Aliyah Aras Kabu Tanjungbalai. Adapun Nama siswa berprestasi pada Aliyah Aras Kabu Menurut Pehitungan Metode AHP Adalah Dari hasil perhitungan yang dilakukan oleh sistem, didapat bahwa ada 1 (satu) siswa yang bisa dijadikan rekomendasi dari 4 (empat) data penelitian yang dilakukan. Siswa tersebut berinisial A4 dengan nilai tertinggi 1,000.
Pemanfaatan E-Learning Pada Penggunaan Aplikasi Edmodo Di Smk Negeri 1 Setia Janji Cecep Maulana; Ricki Ananda; William Ramdhan; Dahriansah Dahriansah
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol 4, No 2 (2021): Mei 2021
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v4i2.1031

Abstract

Abstract: Distance learning media is very much needed during the current Covid-19 epidemic. Limitations of teacher-student interaction, which requires changing face-to-face learning patterns to online (online), are one of the obstacles to the teaching and learning process in schools, especially at SMK Setia Janji range. E-learning is a distance learning media that can be used in online learning processes (in a network) online. This community service discusses how the implementation of Edmodo E-learning for teachers of SMK Setia Janji in Kisaran as a daily activity of using Edmodo in the classroom to practice and register to take this application in class to provide information about the use of technology to teachers as targets in learning activities for students in the class. The method used is by means of training, with reference to the laboratory model as the development of E-learning in using Edmodo in the classroom. Community service at SMK Setia Janji aims to assist teachers in providing effective and efficient learning media online. In addition, students have motivation in using Edmodo because this program is attractive to teachers and students whose applications are: quizzes, assignments, and managing communication with students, coworkers, and parents..           Keywords: appliciation; edmodo; E-learning Abstrak: Media pembelajaran jarak jauh sangat di butuhkan pada masa pendemi Covid-19 saat ini. Keterbatasan Interaksi guru dengan siswa yang mengharuskan merubah pola pembelajaran tatap muka menjadi daring (dalam jaringan) online, menjadi salah satu hambatan proses belajar mengajar di sekolah, khususnya di SMK Setia Janji kisaran. E-learning merupakan salah satu media pembelajaran jarak jauh yang dapat di gunakan dalam peroses pembelajaran secara daring (dalam jaringan) online. Pengabdian kepada masyarakat ini membahas tentang bagaimana implementasi E-learning Edmodo bagi guru SMK Setia Janji di Kisaran sebagai kegiatan sehari-hari penggunaan Edmodo di kelas mempraktekkan dan mendaftar untuk mengikuti aplikasi ini di kelas memberikan informasi tentang pemanfaatan teknologi kepada guru sebagai sasaran dalam kegiatan pembelajaran bagi siswa didalam kelas. Metode yang digunakan dengan cara pelatihan, dengan acuan laboratory model sebagai pengembangan E-learning dalam menggunakan Edmodo di kelas. Pengabdian kepada masyarakat di SMK  Setia janji bertujuan untuk membantu guru dalam memberikan media pembelajaran yang efiktif dan efisien secara online, Selain itu siswa memiliki motivasi dalam menggunakan Edmodo karena program ini menarik bagi guru dan siswa yang aplikasinya adalah: kuis, tugas, dan mengatur komunikasi dengan siswa, rekan kerja, dan orang tuaKata kunci: aplikasi; Edmodo; E-learning
RANCANG BANGUN ALAT PRES BODY PLAT PADA BENGKEL LAS KETOK DENGAN MENGGUNAKAN SENSOR ULTRASONIC BERBASIS MIKROKONTROLER ARDUINO UNO Dahriansah Dahriansah
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 4, No 1 (2021): February 2021
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v4i1.473

Abstract

 In the field of industrial society, the role of information technology can not be separated anymore. Currently the technology tools people need a tool that can automatically move on its own with the support of computerized systems. With the computerized system, it can provide good service and quickly to internal and external parties.System tool body pressed plates using an ultrasonic sensor is one of a computerized tool that aims to make it easy for users to meet the needs in a range of technology areas, trying to provide tools with a system that automatically and efficiently.This research is expected to be useful for writers as an exercise in designing the tool by using the C programming language and can be used as knowledge and experience. The design of information technology to the shape of the tool body pressed plates using ultrasonic sensor that is made is expected to assist and facilitate the users in the process of its work in the industrial field.
Penerapan Metode Clustering Dengan Algoritma K-Means Tindak Kejahatan Pencurian di Kabupaten Asahan Nur Afni Syahpitri Damanik; Irianto Irianto; Dahriansah Dahriansah
J-Com (Journal of Computer) Vol 1, No 1 (2021): Maret 2021
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.591 KB) | DOI: 10.33330/j-com.v1i1.1065

Abstract

Abstract:Theft is the illegal taking of property or belongings of another person without the permission of the owner. The most common crime problem in Asahan District is theft, so that the POLRES is still having trouble determining which areas are often the crime of theft. With this problem, we need to do a grouping for areas where theft often occurs, so the process used  is the data mining process. Data mining is one of the processes of Knowledge Discovery from Databases (KDD). KDD is an activity that includes collecting, using historical data to find regularities, patterns or relationships in large data sets. One of the techniques known in data mining is clustering technique. The K-Means method is a method for clustering techniques, K- Means is a method that partitions data into groups so that data with the same characteristics are entered into the same set of groups and data with different characteristics are grouped into other groups. The attributes used in grouping this data are annual data, namely 2015, 2016, 2017, 2018, 2019. A case study of 9 POLSEK in the Asahan. Keywords: Data Mining, Clustering, K-Means Algorithm, Theft Crimes Grouping.  Abstrak: Pencurian merupakan pengambilan properti atau barang milik orang lain secara tidak sah tanpa ijin dari pemilik. Masalah tindak kejahatan yang paling banyak terjadi di Kabupaten Asahan adalah tindak kejahatan pencurian sehingga pihak POLRES masih kesulitan untuk menentukan daerah mana saja yang sering terjadi tindak kejahatan pencuriaan. Dengan adanya masalah ini kita perlu melakukan pengelompokan untuk daerah mana saja yang sering terjadi tindak pencurian maka proses yang digunakan adalah proses data mining. Data mining adalah salah satu proses dari Knowledge Discovery from Databases (KDD). KDD adalah kegiatan yang meliputi pengumpulan, pemakaian data, historis untuk menemukan keteraturan, pola atau hubungan dalam set data besar. Salah satu teknik yang di kenal dalam data mining adalah teknik clustering. Metode K-Means merupakan metode untuk teknik clustering, K-Means adalah metode yang mempartisi data kedalam kelompok sehingga data berkarakteristik sama dimasukan kedalam set kelompok yang sama dan data yang berkerakteristik berbeda dikelompokkan ke dalam kelompok yang lain. Atribut yang di gunakan dalam pengelomokan data ini adalah data pertahun yaitu tahun 2015, 2016, 2017, 2018, 2019. Studi kasus pada 9 POLSEK yang ada di daerah kabupaten Asahan. Kata kunci: Data Mining, Clustering, Algoritma K-Means, Pengelompokan Tindak Kejahatan  Pencurian.
Desain Robot Pemotong Rumput Dengan Perintah Suara Berbasis Android Jhonson Efendi Hutagalung; Dahriansah -
SATIN - Sains dan Teknologi Informasi Vol 5 No 1 (2019): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (643.52 KB) | DOI: 10.33372/stn.v5i1.461

Abstract

Penulis berkeingin membuat suatu desain sebagai lanjutan dari prototype dari robot pemotong rumput ini. Sehingga desain ini nantinya sebagai awal dari pembuatan proyek jadi sistem, sehingga alat dapat bekerja dengan proses yang diinginkan. Sistem ini bertujuan untuk menghubungkan komunikasi antara robot beroda dengan smartphone melalui media komunikasi bluetooth. Dari hasil pengujian, penulis berhasil mengaplikasikan teknologi bluetooth pada robot beroda dengan memberikan instruksi seperti maju, mundur, berhenti, belok kanan, belok kiri, dan berhenti. Disinilah mikrokontroler memiliki memory sendiri, serta proses-proses yang dapat berdiri sendiri, sehingga ketika dihubungkan dengan input dan output yang lain, penulis juga dapat mengontrol alat tersebut.     Robot ini digunakan untuk memotong rumput dengan lahan yang luas sehingga tidak perlu lagi dikerjakan oleh banyak cukup dengan dua atau tiga orang secara bergantian mengerjakan pemotongan rumput dalam hal pembukaan lahan baru. Robot dikendalikan dengan Android, untuk mengerakkan motor dc tersebut, serta menggunakan driver motor agar robot dapat bergerak sesuai dengan perintah yang tersimpan di dalam program.Penelitian ini telah berhasil dan nantinya akan dikembangkann kearah yang lebih baik dengan alat yang nyata dengan kapasitas besar.
Expert System Mendiagnosis Penyakit Hewan Peliharaan Melalui Penerapan Teknik Case Based Reasoning Dwi Kurniawati; Dahriansah Dahriansah; Akmal Nasution
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3978

Abstract

Disease is a certain abnormal condition that negatively affects the structure or function of part or all of the body of a living being. Disease is not only found in humans, but also in animals especially pets which are known to be more susceptible to disease. This study explains that it is important to maintain the health of pets so that the health of their owners can also be maintained properly. The lack of knowledge of pet lovers causes delays in handling these pets. Another problem besides pet disease is the lack of veterinarians or veterinary clinics in the Asahan area. To help overcome these problems, a system was created that can determine diseases quickly in pets such as dogs, cats and rabbits using the Case Based Reasoning method. This Case Based Reasoning method is used to find the disease similarity value by looking at previous cases. From the weight calculation carried out in this case, the highest similarity value is Worms with a percentage of 92,3076%. So the recommended treatment solution for new cases entered by users with symptoms of intestinal worms is regular deworming and regular grooming at least once every 14-15 days.
EXPERT SYSTEM DIAGNOSE DISEASES IN GOATS USING THE APPLICATION OF CERTAINTY FACTOR AT THE ASAHAN DISTRICK LIVESTOCK SERVICE Lizza Nattasya Marpaung; Dahriansah; Cecep Maulana
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 1 (2022): JUTIF Volume 3, Number 1, February 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.1.153

Abstract

Goats are livestock that provides many benefits for humans such as meat, milk, and skin. Goat meat is now also one of the important foodstuffs in meeting people's nutrition and is widely marketed. Livestock health is the most important factor in the cultivation of goats, therefore the presence of diseases in goats can result in economic losses because it can reduce livestock productivity and can even cause death in goats. However, most of the goat breeders still lack knowledge of disease control in goats plus the ratio of the number of experts is not balanced with the number of breeders which causes limited service facilities for a consultation so that it is increasingly difficult for breeders to identify the type of disease early on and the solutions that will be carried out next. To overcome this problem, an expert system was built that can assist farmers in diagnosing diseases in goats. This study uses the certainty factor method in solving problems that exist in goats. The data used in this study consisted of 8 disease data and 30 symptom data caused by bacteria, viruses and parasites. Each symptom has a CF value given by experts, namely veterinarians. So that a 90% percentage of the level of conformity for the system's accuracy level is obtained based on the results of expert and system validation.