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SOSIALISASI TENTANG PENERAPAN CBT PADA UJIAN AKHIR NASIONAL BERBASIS KOMPUTER DI SMK PARIWISATA IMELDA Berto Nadeak; , Sony Bahagia Sinaga; Kristian Siregar; Edward Robinson Siagian
Multidisiplin Pengabdian Kepada Masyarakat Vol. 1 No. 01 (2022): Multidisiplin Pengabdian Kepada Masyarakat, Maret 2022
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/pkm.v1i01.285

Abstract

Pada kegiatan pengabdian kepada masyarakat (PKM) yang dilakukan ini bertujuan untuk memberikan serta membantu siswa/I SMK Pariwisata Imelda mengenai cara bagaimana penggunaan aplikasi ujian nasional yang berbasis komputer sehingga siswa/I mampu dan lebih siap dalam menghadapi ujian nasional. Agar tercapainya tujuan tersebut maka metode yang digunakan adalah computer based test (CBT) dengan melakukan ceramah dan praktik serta dapat dilakukan juga dengan demonstrasi aplikasi sebagai simulasi ujian nasional.
Penentuan Nilai Saham Terbaik Dalam Sistem Pendukung Keputusan Dengan Menggunakan Metode Simple Additive Weighting (SAW) Siagian, Edward Robinson
Bulletin of Information Technology (BIT) Vol 4 No 4: Desember 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i4.1069

Abstract

In the current era of information technology, aspects of life have become dependent on the era of globalization, especially for business people. To support the economy, investment is an important step that must be taken. Generally, basic principles are needed to decide on investment steps in the form of shares in order to obtain maximum profits. The value of investing in the capital market requires sufficient information, experience, and business sense to analyze which investments to buy, which to sell, and which to keep. The value of shares is difficult for investors to predict with potential shares, so investors need to carry out investment trend analysis and for companies to first determine their investment policy model so that they make investment decisions in accordance with what is most expected with the level of risk tolerance limits. Analysis of investment information is useful for determining the value of the shares to be selected and to find out the expected rate of return to determine the investment strategy that will be carried out. Making decision support using several criteria that will be part of the strategy in determining potential shares. A decision support system is a decision that can help, speed up and simplify the decision making process. Fuzzy Multi-Attribute Decision Making (FMADM) with the Simple Additive Weighting (SAW) method is a method that can assist in making decisions regarding several alternative decisions that must be taken with several criteria that will be taken into consideration.
Wave File Compression Analysis and Implementation using The Huffman Method Siagian, Edward Robinson
Blend Sains Jurnal Teknik Vol. 1 No. 1 (2022): Edisi Juli
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (297.885 KB) | DOI: 10.56211/blendsains.v1i1.77

Abstract

One of the sound file formats that are widely used in the Windows operating system is the Wave format (*. WAV). This format is widely used for gaming and multimedia purposes. Wave is actually a raw format where the voice signal is directly recorded and quantized into digital data. The basic format of this file by default does not support compression and is known as PCM (Pulse Code Modulation). If you record a CD Audio quality song using a sampling rate of 44.1 kHz, 16 bits per sample, 2 channels (stereo), then the total media required to store this audio data per second is 176,400 bytes, so for a duration of 1 minute it takes 10,584 MB. If the average duration of one song is 5 minutes, it takes more than 50 MB of space to store the audio data of the song. This is of course very wasteful of storage media such as hard disks even though there are currently large hard disk capacities available.
Implementasi Metode Simple Additive Weighting Dalam Penerimaan Tenaga Medis / Kesehatan Siagian, Edward Robinson; Nadeak, Berto
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 4 No 2: Tahun 2019
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1851.965 KB) | DOI: 10.17605/jti.v4i2.586

Abstract

Sistem pendukung keputusan merupakan sistem informasi yang meyediakan infomasi, pemodelan, dan pemanipulasian data. Sistem yang digunakan untuk membantu pengambil keputusan dalam situasi yang semi terstruktur, dimana tidak seorangpun tahu secara pasti bagaimana keputusan seharusnya dibuat. Dalam perekrutan Tenaga Medis / Kesehatan yang berkualitas pada sebuah rumah sakit memiliki beberapa kriteria-kriteria yang harus dimiliki oleh peserta sebagai syarat dalam mengikuti seleksi penerimaan pegawai dibutuhkan sistem pendukung keputusan. Proses penyeleksian dengan alternatif terbaik berdasarkan kriteria-kriteria yang telah ditentukan dengan menggunakan metode simple additive weighting (SAW), dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perengkingan atau perekrutan yang akan menentukan alternatif yang optimal, yaitu peserta tebaik
Implementasi Metode Technique for Order Preference by Similarity to Ideal Solution dalam Pemilihan Jenis Kerang Konsumsi Siregar, Kristian; Siagian, Edward Robinson
MEANS (Media Informasi Analisa dan Sistem) Volume 3 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (344.724 KB) | DOI: 10.54367/means.v3i2.289

Abstract

Shellfish is a type of seafood consumed by consumers. In selecting the right type of shellfish, it must be adjusted to the wishes of consumers. To get optimal results a system is needed that can help in determining the type of shellfish so that consumers feel satisfied. Technique for Order Preference by Similarity to Ideal Solution or TOPSIS is a method with the concept that each alternative is chosen and the best is not only to have the shortest distance of each positive ideal solution, but also to have the longest distance of any existing ideal negative solution . The criteria in this system vary, each tailored to the preferences of consumers or prospective buyers of shellfish provided by the producer. Based on the results of the sample selection shows that the calculation results using the same system with manual calculations. This system is able to provide an election for purchasing shellfish.
Implementasi Metode Profile Matching untuk Penentuan Mahasiswa Berprestasi Siagian, Edward Robinson
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (801.362 KB) | DOI: 10.54367/means.v5i1.752

Abstract

Decision support systems developed at the beginning of the era of distributed computing and began to develop in the 1960-1970s, as a result of a number of other factors: hadware and software technology, research efforts by academics from universities, began to grow awareness of the support of a decision and the desire to obtain better information. In this study, a case will be raised, which is looking for the best alternative based on student competence in the "XYZ" educational institution by applying the profile matching method. This method was chosen because it is able to select the best alternative from the aspects of existing criteria. The study was conducted to find the value of weight for each aspect, such as examples of academic aspects and non-academic aspects of students, then the ranking process of selected prospective students who have been selected, and the output of the application can help decision makers in choosing alternative students who excel.
Implementasi Metode Simple Additive Weighting Dalam Penerimaan Tenaga Medis / Kesehatan Siagian, Edward Robinson; Nadeak, Berto
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 4 No 2: Tahun 2019
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1851.965 KB) | DOI: 10.17605/jti.v4i2.586

Abstract

Sistem pendukung keputusan merupakan sistem informasi yang meyediakan infomasi, pemodelan, dan pemanipulasian data. Sistem yang digunakan untuk membantu pengambil keputusan dalam situasi yang semi terstruktur, dimana tidak seorangpun tahu secara pasti bagaimana keputusan seharusnya dibuat. Dalam perekrutan Tenaga Medis / Kesehatan yang berkualitas pada sebuah rumah sakit memiliki beberapa kriteria-kriteria yang harus dimiliki oleh peserta sebagai syarat dalam mengikuti seleksi penerimaan pegawai dibutuhkan sistem pendukung keputusan. Proses penyeleksian dengan alternatif terbaik berdasarkan kriteria-kriteria yang telah ditentukan dengan menggunakan metode simple additive weighting (SAW), dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perengkingan atau perekrutan yang akan menentukan alternatif yang optimal, yaitu peserta tebaik
Pengenalan Tentang Otomasi Sistem Kerja Komputer di Lembaga Pendidikan Ernala Sinaga, Sony Bahagia; Nadeak, Berto; Siagian, Edward Robinson
ULEAD : Jurnal E-Pengabdian Volume 1 No. 1 Juli 2021
Publisher : Fakultas Ilmu Komputer, Universitas Katolik Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (214.795 KB) | DOI: 10.54367/ulead.v1i1.1305

Abstract

Seiring dengan perkembangan teknologi, sistem otomasi telah mengambil alih sistem manual dan semi manual. sistem otomasi  sangat mendukung atas terlaksananya suatu proses kerja dari objek. Sistem otomasi ini dikembangkan untuk menghindari efek terjadinya pergeseran posisi sampel-referensi. Tujuan dari kegiatan ini adalah untuk memberi pemahaman dan membuka pola pikir peserta pelatihan. Tujuan dalam pengabdian ini adalah untuk menambah pengetahuan dan diharapkan bermanfaat bagi kita semua terutama bagi siswa Lembaga Pendidikan Ernala. Serta dengan ini kita dapat mengetahui fungsi dari teknologi komputer untuk segala aspek kehidupan khususnya dibidang Otomasi industri. Guna membuka pola pikir Siswa di Lembaga Pendidikan Ernala tentang pemahaman Otomasi Kerja Komputer.
Pelatihan Desain Website Sederhana Menggunakan WordPress untuk Siswa SMK 1 Parulian Siregar, Kristian; Panjaitan, Muhammad Iqbal; Tamba, RL. Harmady; Siagian, Edward Robinson; Karo Karo, Siddik
Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 02 (2025): Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV. Devi Tara Innovations

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Website design skills are one of the important competencies needed in the digital era, especially for Vocational High School (SMK) students who are directed to be ready for work. This community service activity aims to improve the digital literacy and technical skills of SMK 1 Parulian students through training in creating a simple website using the WordPress platform. The implementation method includes preparation stages, direct training implementation, and evaluation in the form of pre-test and post-test. The results showed a significant increase in students' understanding of the concept and practice of website creation, as evidenced by the increase in post-test scores and students' success in creating a functional personal website. In addition, feedback from the questionnaire showed that participants felt enthusiastic and rated this training as very beneficial for their skill development. With this training, it is hoped that vocational school students will be able to develop their potential in the field of information technology, especially in WordPress-based digital content management.
Application of Bayes' Theorem Method to Diagnose Miscarriage in Pregnant Women Siagian, Edward Robinson
Pascal: Journal of Computer Science and Informatics Vol. 1 No. 02 (2024): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The expert system for diagnosing the causes of miscarriage in pregnant women is an expert system designed as a tool to diagnose the type of food that causes miscarriage. Computer programs intended as a provider of tools in solving problems in certain areas of specialization such as miscarriage problems in pregnant women. This knowledge is obtained from various sources including books and the internet related to the causes of miscarriages. The knowledge base is arranged in such a way into a database with several tables of food types and tables of effects to facilitate the performance of the system in drawing conclusions in this expert system using Bayes' theorem. This expert system will display a selection of symptoms that can be selected by the user, where each effect selection will read the user to the next effect choice until the final result is obtained. In the final result, the expert system will display a selection of user effects, types of foods that cause miscarriage, and solutions.