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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Building of Informatics, Technology and Science Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer)
Siti Julianita Siregar
STMIK TRIGUNA DHARMA
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Penerapan Metode SAW (Simple Additive Weighting) Dalam Pemilihan Saham Terbaik Pada Sektor Teknologi Rosma Siregar; Kartika Sari; Siti Julianita Siregar
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3425

Abstract

Stocks are one of the many investments that are favored by all groups because they promise high returns. But in addition to promising high returns, stocks can also provide a high risk of loss, which makes ordinary people afraid to start investing in the stock market. To prevent losses in buying stocks is to choose stocks with good fundamentals. To support this, we need an analysis that can help make decisions in choosing the best stocks in the technology sector. The saw method analysis will be used in this study, where the saw method is able to select alternatives based on predetermined categories. This study will rank the best stocks based on company fundamentals, namely EPS, PER, PBV, ROE, DER and Dividend Yield. The results of this study are EDGE stocks as the best stocks in the technology sector with the highest value of 0.88. The purpose of this research is to help investors choose stocks before investing in technology companies.
Penerapan Neural Network Dalam Klasifikasi Citra Permainan Batu Kertas Gunting dengan Probabilistic Neural Network Siti Julianita Siregar; Ahmadi Irmansyah Lubis; Erika Fahmi Ginting
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.519 KB) | DOI: 10.47065/bits.v3i3.1143

Abstract

In this research, an image classification model was developed to distinguish hand objects pointing at rock, paper, and scissors using one of the popular image classification methods, namely the Probabilistic Neural Network. Probabilistic Neural Network is a method in an artificial neural network that is used to classify a category based on the results of calculating the distance between the density function and the probability. PNN has 4 stages of processing, namely Input Layer, Pattern Layer, Summation Layer, and Output Layer. Tests in the study were carried out with a total of 60 testing data from three object classes from the dataset. Then the results of the classification of Batu, Scissors, and Paper hand images using the application of the PNN algorithm in this research test obtained an average accuracy value of 90%
SOSIALISASI PROGRAM MERDEKA BELAJAR KAMPUS MENGAJAR PADA SEKOLAH KABUPATEN HUMBANG HASUNDUTAN Nur Yanti; Afdal Al Hafiz; Lusiyanti Lusiyanti; Fery Setiawan; Siti Julianita siregar
RESWARA: Jurnal Pengabdian Kepada Masyarakat Vol 3, No 2 (2022)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v3i2.1900

Abstract

Kampus Mengajar merupakan sebuah kegiatan kampus merdeka yang juga turut serta mengikut sertakan mahasiswa yang memiliki keberagaman dari jurusan masing-masing yang diambil mahasiswa pada sebuah institusi yang mereka pilih. Khusus pada jenjang SD dan memberikan kesempatan kepada mereka untuk belajar dan mengembangkan diri melalui aktivitas di luar kelas perkuliahan. Metode yang digunakan adalah observasi secara langsung pada sekolah. Indonesia saat ini memerlukan adanya Kerjasama yang baik agar dapat saling memberikan dorongan serta kotribusi nyata dalam upaya peningkatan kualitas Pendidikan yang ada pada. Upaya pergerakan yang dilakukan ditujukan untuk memberikan kesempatan kepada pihak terlibat untuk mensukseskan kampus mengajar untuk Pendidikan Indonesia
Sistem Pakar Menggunakan Teorema Bayes Dalam Rekomendasi Penentuan Jenis Anestesi Pada Pasien Siti Julianita Siregar; Kartika Sari
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2226

Abstract

This study discusses the problem, namely the process of determining the type of anesthesia for patients before carrying out surgery. In determining the appropriate type of anesthesia based on the conditions experienced by the patient, generally anesthesiologists or anesthesiologists still use the common method, namely by conducting interviews related to the symptoms experienced by patients before anesthesia is carried out on patients who will be operated on. Then the anesthesiologist will write down the results of the interview in the form of a written report and will adjust the results of the interview related to the symptoms experienced with the existing anesthesia guidelines. And this will certainly take more time in adjusting the results of the patient's symptoms to the type of anesthesia that will be given. Along with the rapid development of technology, determining the type of anesthesia that will be given to the patient before it is carried out can be overcome by building an information system that is able to adopt the process and way of thinking of humans, namely Artificial Intelligence or artificial intelligence which is often called the Expert System. In this case, a smart application in determining the type of anesthesia in android-based patients is designed using the Bayes Theorem calculation method, and it is possible for an anesthesiologist and anesthesiologist to administer anesthesia to a patient before a patient steps into the operation stage. Thus, it can also cause work productivity to increase and the time used to complete the work is getting shorter
Implementasi Algoritma Kriptografi RSA (Rivest Shamir Adleman) Dalam Pengamanan Data Gaji Karyawan Di Kantor BSPJI Siti Julianita Siregar; Nurcahyo Budi Nugroho; Hendrik Sigalingging
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 22, No 2 (2023): Agustus 2023
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v22i2.9409

Abstract

Keamanan informasi atau data menjadi suatu hal yang sangat penting dalam pertukaran data, namun banyak juga ancaman pada proses pertukaran data dilakukan, terutaman dokumen maupun data yang diasumsikan bersifat rahasia (private and confidential). Kantor BSPJI sering terjadi masalah pada data gaji karyawan dalam pengubahan dan penyalahgunaan data gaji yang menyebabkan kerugian beberapa pihak yang bersangkutan. Oleh karena itu, masalah keamanan data merupakan suatu aspek yang penting dari suatu sistem, untuk itu perlu diterapkan suatu metode pengamanan data. Pengamanan pada data dilakukan untuk menjaga kerahasiaan informasi dan agar aman dari orang-orang yang tidak bertanggung jawab, maka dilakukanlah suatu pengamanan data dengan menggunakan algortima kriptografi. Dalam kriptografi terdapat beberapa algoritma yang dapat digunakan, diantaranya RSA. RSA merupakan algoritma asimetris. RSA mempunyai dua kunci, yaitu kunci publik dan kunci pribadi. Kunci publik boleh diketahui oleh siapa saja, dan digunakan untuk proses enkripsi. Sedangkan kunci pribadi hanya pihak-pihak tertentu saja yang boleh mengetahuinya, dan digunakan untuk proses dekripsi. Dengan demikian hasil dari sistem yang telah dirancang, maka akan membantu pihak Kantor BSPJI dalam menentukan keamanan data gaji karyawan yang lebih tepat, baik, dan akurat.
Co-Authors Afdal Al Hafiz Ahmadi Irmansyah Lubis Fery Setiawan Ginting, Erika Fahmi Hendrik Sigalingging Kartika Sari Lusiyanti Lusiyanti Nur Yanti Nurcahyo Budi Nugroho Rosma Siregar