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Peranan Teknologi Augmented Reality Sebagai Media Pembelajaran di Masa Pandemi Covid-19 Haida Dafitri; Arief Budiman; Fakhrana Nadhila
Query: Journal of Information Systems VOLUME: 04, NUMBER: 02, OCTOBER 2020
Publisher : Program Studi Sistem Informasi

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Abstract

Since the COVID-19 pandemic, every learning has to be done online, even though vocational institutions require more practice. So far, students are only given video tutorials on practical learning methods that are felt to be less effective, because students cannot directly touch the items, so it is still not optimal. This condition also makes the motivation and interest and curiosity of students in learning decrease. These situations and conditions require teachers to think creatively and innovatively in designing and implementing learning to take place effectively. One way that can be done by teachers by utilizing the latest technologies that are increasingly sophisticated as learning media. Augmented Reality technology is an alternative solution that can be used as a learning medium. Augmented Reality is an attempt to combine the real world and the virtual world created through a computer so that the boundary between the two becomes very thin. The results of this study are to produce an application that runs on the Android platform by implementing Augmented Reality as a support in learning media activities in the Audio Video Technical Vocational High School. Keywords:  Augmented Reality, Android, COVID-19, Learning Media
Kombinasi Algoritma Beaufort Cipher Dan Vigenere Cipher Untuk Pengamanan Pesan Teks Berbasis Mobile Application Adryan Rachmadsyah Ryan; Adidtya Perdana; Arief Budiman
Jurnal Minfo Polgan Vol. 9 No. 2 (2020): Article Research
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (126.162 KB) | DOI: 10.33395/jmp.v9i2.10943

Abstract

Beaufort cipher merupakan salah satu algoritma classic yang merupakan pengembangan dari vigenere cipher. Pada penelitian ini, bertujuan untuk mengimplementasikan algoritma beaufort cipher dan vigenere cipher pada aplikasi mobile berbasis android sebagai tools yang mampu mengamankan dan merahasiakan pesan teks serta mengetahui tingkat keamanan dan kerahasiaan menggunakan beaufort cipher dan vigenere cipher. Hasil penelitian ini menunjukkan bahwa implementasi vigenere cipher dan beaufort cipher mampu mengamankan suatu pesan menjadi pesan rahasia. Vigenere cipher dan beaufort cipher dapat berfungsi dengan baik saat dikombinasikan. Aplikasi dapat berjalan dengan baik di smartphone android. Aplikasi dapat mengenkripsi dan mendekripsi pesan menggunakan kombinasi vigenere cipher dan beaufort cipher.
Animasi 3D Media Interaktif Pengenalan Tata Surya Dengan Menggunakan Teknologi Augmented Reality Dimas Sayuti; Arief Budiman
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 5, No 1 (2021): April 2021
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v5i1.9204

Abstract

Proses pembelajaran yang baik haruslah memuat aspek interaktif, menyenangkan, menantang,memotivasi dan memberikan ruang yang lebih bagi siswa untuk dapat mengembangkan kreativitasdan kemandirian, sesuai dengan bakat dan minat siswa. Media pembelajaran yang menarik jugasangat diperlukan bagi siswa SMP, dikarenakan dalam pembelajaran SMP lebih mengutamakanpraktikum dari pada teori. Perlu dipertimbangkan dalam pemilihan media yaitu tujuanpembelajaran, efektif, mudah diperoleh, peserta didik, penggunaan, tidak kaku, biaya, dan kualitas.Salah satu perkembangan media pembelajaran yang saat ini masih baru adalah media pembelajarandengan menggunakan Augmented Reality. Dalam hal ini akan membahas perancangan sistem yangakan di bangun secara terperinci, pada sistem augmented reality pada tata surya terdapat menu menu seperti menu mulai, informasi, profil pengembang dan keluar, metode yang digunakan sepertimetode Marker Based Tracking dan Markless AR. Sedangkan model pengembangan yangdigunakan adalah metode Waterfall yang terdiri dari lima fase yaitu analysis, design, implementasi,testing dan maintenance.Kata kunci: pembelajaran,media,pengembangan.
Sistem Pendukung Keputusan Dalam Pemilihan Pergururan Tinggi Terbaik Dengan Menggunakan Metode SAW (Simple Additive Weighting) Arief Budiman; Yuyun Dwi Lestari; Yessi Fitri Annisah Lubis
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 4, No 1 (2020): April 2020
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (488.811 KB) | DOI: 10.30829/algoritma.v4i1.7262

Abstract

Banyaknya Perguruan Tinggi khususnya di kota Medan dengan menawarkan kelebihan masing-masing mulai dari akreditas, fasilitas dan lain sebagainya, membuat calon mahasiswa bingung untuk memilih Perguruan Tinggi terbaik di kota Medan. Untuk  dapat memilih Perguruan Tinggi calon mahasiswa melakukan survey terlebih dahulu tentang informasi masing-masing Perguruan Tinggi yang khsususnya berada di kota Medan. Dengan menggunakan Sistem Pendukung Keputusan maka sebuah permasalahan dapat mudah teratasi dengan cepat khususnya mengenai pemilihan dalam menentukan Perguruan Tinggi terbaik di kota Medan. Dalam penelitian ini Sistem Pendukung Keputusan yang dibuat menggunakan metode Simple Additive Weighting. SAW lebih efisien karena waktu yang dibutuhkan dalam perhitungan lebih singkat. Kata Kunci :Perguruan Tinggi, Sistem Pendukung Keputusan, Metode SAW  AbstractThe number of universities, especially in the city of Medan by offering their respective advantages ranging from accreditation, facilities, etc., makes prospective students confused to choose the best university in the city of Medan. To be able to choose a university prospective students do a survey in advance about the information of each university which is specifically located in the city of Medan. By using a Decision Support System, a problem can be easily resolved quickly, especially regarding the election in determining the best university in the city of Medan. In this study a Decision Support System was made using the Simple Additive Weighting method. SAW is more efficient because the time needed in calculations is shorter. Keywords: Higher Education, Decision Support System, SAW Method
ANALISIS ALGORITMA APRIORI DAN ASSOCIATION RULE DALAM MENENTUKAN PERSEDIAAN SPARE PART MOTOR PADA PT. INDOSTAR SUKSES MANDIRI Mega Yusari Nabillah; Putri Harliana; Arief Budiman
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2020): PROSIDING SNASTIKOM 2020
Publisher : Universitas Harapan Medan

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Abstract

In the process of serving customers, Counter part does not know which product the customer is most interested in which results in the stockpiling of goods. Based on this incident, an analysis is needed to support a decision. This analysis is a mining technique using the Apriori algorithm and the help of Tanagra's tools with the data processed is spare part data for the last two months. The purpose of this research is to find out the products that consumers are most interested in. To answer the objective, the Apriori algorithm with association rules is used. The determination of the itemset used is a minimum of 4 product items. Meanwhile, the Minimum Support used is 25% of the number of existing transactions. The association between products is determined with a confidence of 50%. From the results of this study, it can be found that the most sold products are Gear Street and Face Drive products with a support value of 25% and a confidence value of 66.66%, Face drive and Gear street with a support value of 25% and 100% confidence, or Pad and SPX2 oil with a support value of 25% and a confidence value of 80.00%, and SPX2 oil product with Pad with a support value of 25% and a confidence value of 66.66%. This helps to put the most sold products in the same place.
SISTEM KELAYAKAN PENDAFTARAN DANA KIP PADA SMKS DWIWARNA MEDAN DENGAN METODE PSI Muhammad Rizki Hamdani Hutasuhut; Tommy Tommy; Arief Budiman
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol 3 No 2 (2021): Edisi Oktober
Publisher : Universitas Harapan Medan

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Abstract

Pemerintah Indonesia melalui Program Indonesia Pintar memberikan bantuan dana tunai melalui Kartu Indonesia Pintar. Masalah yang terjadi adalah proses seleksi penerima bantuan KIP tersebut masih belum melalui prosedur yang tepat, sehingga menimbulkan dampak kecemburuan sosial antar siswa/i yang seharusnya tidak layak menerima bantuan tetapi mendapatkan dana bantuan KIP tersebut. Hal ini disebabkan beberapa siswa/i memiliki kerabat dari pegawai-pegawai sekolah sehingga data-data siswa dapat dimanipulasi. Oleh sebab itu, maka dibutuhkanya sebuah sistem pendukung keputusan yang mampu menyeleksi kelayakan siswa/i penerima bantuan dana KIP secara cepat dan tepat dengan memanfaatkan metode Preference Selection Index (PSI). Metode Preference Selection Index (PSI) yang secara garis melakukan perhitungan pada perkalian matriks antar kriteria yang mempunyai nilai bobot dari setiap alternatif sehingga menghasilkan nilai PSI yang akan menjadi hasil akhir dalam menentukan kelayakan siswa/i untuk menerima dana bantuan KIP. Dampak yang dihasilkan adalah terseleksinya siswa/i yang benar-benar memiliki kelayakan syarat untuk mendapatkan bantuan dana KIP. The Indonesian government through the Smart Indonesia Program provides cash assistance through the Smart Indonesia Card. The problem that occurs is that the selection process for KIP assistance recipients has not gone through the right procedure, resulting in social jealousy among students who should not be eligible to receive assistance but receive the KIP assistance funds. This is because some students have relatives from school officials so that student data can be manipulated. Therefore, a decision support system is needed that is able to select the eligibility of students receiving KIP funds quickly and accurately by using the Preference Selection Index (PSI) method. The Preference Selection Index (PSI) method which in line performs calculations on the matrix multiplication between criteria that have a weighted value of each alternative so as to produce a PSI value which will be the final result in determining the eligibility of students to receive KIP assistance funds. The resulting impact is the selection of students who really have the eligibility requirements to get KIP funding assistance.
METODE LEAST SEQUARE DALAM MEMPREDIKSI PENJUALAN SEPEDA MOTOR SECOND Rusdi Solin; Nena Irsa Syahputri; Arief Budiman
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2020): PROSIDING SNASTIKOM 2020
Publisher : Universitas Harapan Medan

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Abstract

The competition of buying and selling motorcycles, especially in the city of Medan, is getting faster from time to time. This requires motorbike dealers to do a variety of ways to achieve better results for their businesses such as increasing sales. Therefore, there is a need for sales predictions to determine the development of motorcycle sales to come. The problem faced by the motorcycle sales business is how to predict future sales of goods based on data that has been previously recapitulated in a database. The discussion method used to predict motorcycle sales is the time series method using the prediction method, the Least Sequare method. Then the lowest prediction error level will be searched by using the MAPE (Mean Absolute Percentage Error) method. The results of this study that the Least Square method can be applied to the prediction of the number of motorcycle sales in the coming period using data on the number of motorcycle sales previously. Prediction results for odd data (actual data from January 2017 to November 2019) obtained 4.969747907 results (rounded up to 5 units) with MAPE error values of 0.65471134%. As for the even data (actual data from January 2017 to December 2019) the results were 4.057145 (rounded up to 4 units) with a MAPE error value of 0.562397%.
PERBAIKAN KUALITAS CITRA DENGAN KOMBINASI METODE CONTRAST STRETCHING DAN METODE KONVOLUSI Dimas Prasetya; Yuyun Dwi Lestari; Arief Budiman
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2020): PROSIDING SNASTIKOM 2020
Publisher : Universitas Harapan Medan

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Abstract

The use of digital images is increasing because of the advantages possessed by digital images, the lighting quality in digital images that are too dark or too bright. Where this noise is usually obtained from the image digitization process. Noise in digital image processing is a disturbance caused by deviating digital data received by the recipient of image data. The elimination of noise in the image is one of the most important parts in image processing. In the process, the images is on. The input is converted into 3x3 matrix then the process uses the contrast streching method for fix the noise from the image. In this study using the Contrast Stretching method and the Convolution method so that the objects and backgrounds in an image can be recognized more clearly
Pemodelan 3D Virtual Reality Pada Tumbuhan Gymnospermae dan Angiospermae Sebagai Media Pembelajaran Ajie Eko Prasetyo; Imran Lubis; Arief Budiman
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan

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Abstract

With the development of technology in the current era, especially in the field of education, applications can be used as a medium for learning. One of them is by applying Virtual Reality Technology in the learning process. Virtual Reality is a technology that is able to create a substitute for actual space, events, objects, or environments that humans accept as real, the use of Virtual Reality Technology is able to make the learning process more interesting and increase understanding of the material given to students. In the Gymnosperm Plants and Angiosperm Plants material, students are invited to get to know plants ranging from Gymnosperm plants, namely Cycas revoluta and Zamia furfuracea and Angiosperm plants, namely chili and cassava. The results of this application not only display material, this application can also display 3d models of gymnosperm plants, namely cycas revoluta and zamia furfuracea and angiosperm plants namely chili and cassava, as well as the features contained in it along with audio and there is a quiz feature as well as a medium for student evaluation of learning on applications.
Rancang Bangun Alat Sterilisasi Penyemprotan Disinfektan Otomatis Untuk Barang Online Shop Berbasis Arduino Nabila Tasya Siregar; Ummul Khair; Arief Budiman
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan

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Abstract

COVID 19 disease caused by a corona virus called SARSCo V2 (severe acute respiratory syndrome corona virus 2) was first discovered in China, precisely in the city of Wuhan, December 2019. The spread of this virus is very fast, and one of the ways this virus can spread is through objects around. For this reason, users of online shopping applications are not necessarily packages that arrive at the destination address free from the corona virus. To sterilize online shopping packages, they can be sterilized by spraying disinfectant. Spraying disinfectants can be done manually or automatically, automatic spraying being an efficient and practical way to save energy. The manufacture of this automatic disinfectant sprayer uses an Arduino Uno microcontroller as a tool control system, an FC-51 infrared sensor as an object detector, a mini water pump to drain disinfectant, a door lock for the security system, and other components. By using these components and software that supports the running of the tool, the disinfectant spraying tool can work automatically. This tool is box-shaped and has two sides of the door, the first door is for the door to enter the package and the second door is for the homeowner to pick up the package.