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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research Jurnal Mantik Penusa Jurnal Informatika Universitas Pamulang JIPN (Journal of Informatics Pelita Nusantara) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Komputasi dan Teknologi Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Sains dan Teknologi TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jatilima : Jurnal Multimedia Dan Teknologi Informasi INFOKUM MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara International Journal of Basic and Applied Science Jurnal Media Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains Ulead : Jurnal E-pengabdian Jurnal Pengabdian Kepada Masyarakat Bersinergi Inovatif
Bosker Sinaga
STMIK Pelita Nusantara
Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Neuroscience Physics Social Sciences Transportation Other

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SISTEM PENDUKUNG KEPUTUSAN PENENTUAN STRATEGI PROMOSI STMIK PELITA NUSANTARA MENGGUNAKAN METODE AHP Sinaga, Julius; Sinaga, Bosker
JURNAL SAINS DAN TEKNOLOGI Vol. 1 No. 1 (2019): SAINS DAN TEKNOLOGI
Publisher : Sisfokomtek

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Abstract

Setiat tahunnya perguruan tinggi negri maupun swasta melakukan kegiatan promosi kampus untukmemperkenalkan dan mencari calon mahasiswa baru. Yang menjadi prioritas utama dari promosi tersebutadalah mendapatkan mahasiswa sesuai dengan daya tampung yang telah disediakan dan mendapatkanmahasiswa sesuai target promosi. Maka dari itu dibutuhkan media promosi yang tepat. Dalam pengambilankeputusan peneliti menggunakan metode AHP (Analytical Hierarchy Process).Metode AHP (Analytical Hierarchy Process) digunakan untuk menentukan bobot kriteria, prinsipkerja AHP adalah penyederhanaan suatu permasalahan kompleks yang tersrukutr, strategis, dan dinamikmenjadi bagian-bagiannya serta menatanya dalam suatu hierarki.
PELATIHAN MICROSOFT OFFICE UNTUK GURU-GURU SE-KECAMATAN NAMORAMBE Fricles A Sianturi; Paska Marto Hasugian; Bosker Sinaga
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 1 No. 1 (2019): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Jurnal Pengabdian kepada Masyarakat Nusantara

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Abstract

Sesuai dengan judul program pengabdian masyarakat ini, metode penerapan ipteks yang dilakukan adalah berbentuk pelatihan pengenalan microsoft office untuk guru – guru se-Kecamatan Namorambe. Kegiatan pelatihan keterampilan ditunjang dengan ceramah, tanya jawab dan tentu saja praktek secara langsung di laboratorium komputer SMPN 1 Namorambe. Modul pelatihan akan diberikan kepada peserta sebagai alat bantu dalam kegiatan praktek di laboratorium. Tujuan dari pelaksanaan program pengabdian masyarakat ini adalah untuk meningkatkan keterampilan Microsoft Office bagi Guru Guru SMPN se-Kecamatan Namorambe
Decision Support System for Employee Performance Using AHP Method (Case Study: PT. Andhy Putra) Bedizatulo Laia; Bosker Sinaga
International Journal of Basic and Applied Science Vol. 10 No. 3 (2021): December: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v10i3.33

Abstract

The system supports the company's performance appraisal using the AHP (Case Study: PT. Andhy Putra) method, one of which is to find, select, assess and determine the best employees every year to match the abilities and assessment criteria applied so far. PT. Andhy Putra while assessing employee performance, especially in CME and OSP, still experiences shortcomings and weaknesses in determining qualified employees. This employee performance system has problems in assessing the performance appraisal data that is less accurate, which is carried out on a paper-based basis and requires less efficient time and large costs. For that, we need a decision support system in helping PT. Andhy Putra to conduct a performance appraisal every year. The method used in this employee assessment is AHP (Analytical Hierarchy Process), which is often also known as the weighting method. The process hierarchy analytical method is one of the methods used to find weight values ​​based on existing criteria and helps facilitate the ranking of alternatives based on the distance between the positive ideal solution and the negative ideal solution. There are 5 (five) criteria as a tool to assess employee performance, namely commitment to the company, desire for achievement, cooperation, leadership and discipline accompanied by the results of the implementation of this process hierarchy method in the form of ranking the alternatives used. This decision support system is built using the PHP programming language and MySQL database
Penerapan Metode Weighted Product (WP) Dalam Menentukan Penyidik Terbaik Di SAT Narkoba Polres Deli Serdang Bosker Sinaga; Uzitha Ram; Santhia
Jurnal Media Informatika Vol. 2 No. 1 Desember (2020): Jurnal Media Informatika (JUMIN)
Publisher : Jurnal Media Informatika

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Abstract

Tubercolosis adalah infeksi yang disebabkan oleh basil tahan asam ( BTA ). Tubercolosis merupakan penyakit menular yang apat menyerang siapa saja melalui udara. Penyakit tuberculosis merupakan penyakit menular yang berbahaya. Tuberculosis merupakan penyakit menahun atau kronis yang bisa menyerang antar usia 15-35 tahun. Cara mendiagnosa penyakit Tubercolosis adalah dengan cara pakar ahli mewawancari kemudian menguji sampel dahak dengan menggunakan laboratorium untuk mengetahui positif atau negatif penyakit Tubercolosis sehingga memerlukan waktu yang lama. Oleh karena itu dibutuhkan sebuah Sistem Pakar dengan metode Bayes untuk memudahkan dalam mendiagnosa penykit Tubercolosis . Sistem pakar ini dikembangkan menggunakan bahasa pemrograman Microsoft Visual Studio 2010 serta dengan menggunakan database Microsoft Access 2010.
Sistem Pendukung Keputusan Pegawai Terbaik pada Sekretariat Daerah Kota Sibolga dengan Menggunakan Metode Ahp Daniel Peris Halomoan Hutajulu; Bosker Sinaga
Jurnal Media Informatika Vol. 3 No. 1 (2021): Jurnal Media Informatika
Publisher : Jurnal Media Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v3i1 Desember.201

Abstract

The Development Administration Section of the Sibolga City Regional Secretariat will provide good service, which is greatly influenced by the quality of human resources, which in this case are employees who work in the Development Administration Section. The selection of the best employees is carried out not only by direct appointment by the Head of the Section, but must evaluate the criteria that have been carried out by an employee within a certain period of time. To optimize the selection of the best employees, a decision-making system is needed that can help make a decision to determine the selection of the best employee quickly, precisely and reduce errors in determining the best employee with the AHP method (Analytic Hierarchy Process). To make a decision-making system for selecting the best employees at the Regional Secretariat of Sibolga City using the Analytical Hierarchy Process (AHP) method by identifying all system requirements, the next step is the AHP calculation process, namely by making a pairwise comparison matrix that describes the relative contribution or influence of each element on each each criterion.
Sistem Pendukung Keputusan Pemberian Pinjaman Dengan Metode Simple Additive Weighting Agustina Purba; Bosker Sinaga
Jurnal Media Informatika Vol. 3 No. 1 (2021): Jurnal Media Informatika
Publisher : Jurnal Media Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v3i1 Desember.205

Abstract

Sistem Pendukung Keputusan (SPK) adalah sistem yang dapat membantu seseorang dalam mengambil keputusan yang akurat dan tepat sasaran. Banyak permasalahan yang dapat diselesaikan dengan menggunakan SPK, salah satunya adalah penentuan kelayakan anggota penerima pinjaman. Ada beberapa metode yang dapat digunakan dalam membangun suatu SPK diantaranya (SAW). SAW merupakan metode yang paling banyak digunakan dalam memecahkan permasalahan yang bersifat multikriteria, seperti dalam SPK penentuan kelayakan pemberian pinjaman. Penelitian ini menggunakan metode SAW dalam menentukan kelayakan pemberian pinjaman pada KOPDIT CU. Sayur Matua. Dalam penentuan kelayakan pemberian pinjaman, ada beberapa kriteria yang menjadi dasar pengambilan keputusan antara lain usia, simpanan, pendapatan, tanggungan, agunan, kredit/ bulan, besar pinjaman yang di ajukan, lama pinjaman, dan sisa pinjaman. Adapun hasil akhir dalam penelitian ini dari tahap awal sampai tahap akhir sehingga di dapatkan hasil 1 anggota disetujui untuk meminjam dengan nilai 1.527.
Election Of The Head Of The Study Program By Applying The SAW Method (Case Study STMIK Pelita Nusantara) Bosker Sinaga; R. Mahdalena Simanjorang
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

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Abstract

The election of the Head of the Study Program is very important to consider the maximum results of services to students. In the process of selecting the Head of the Study Program at STMIK Pelita Nusantara, they usually directly appoint those who occupy the position with several elements. Determination of the Head of the Study Program is very necessary by making some general and specific criteria and expertise in their fields. The system that is needed is the Decision Support System for the Head of Study Program Decision. The variables specified in this study are 1) General which includes: Functional Position, Status, Expertise. 2) Specifically covering: Attitude Value, General Knowledge Test Value, Field Knowledge Test Value, and Interview. This system was built by applying the web-based Simple Additive Weighting (SAW) method and MySQL as the database
Decision Support System For Achieving Students With Profile Matching Method Nera Mayana Br Tarigan Br Tarigan; Bosker sinaga
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

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Abstract

Determination of outstanding students at school is very important to provide suggestions for students at SMK Karya Serdang Lubuk Pakam. However, in determining student achievement, it is necessary to look at several criteria and accurate assessments, to provide maximum results. SMK Karya Serdang Lubuk Pakam in determining outstanding students has not used a system, so it needs a decision support system in determining outstanding students. The method used in determining outstanding students is the Profile Matching Method. The variables determined in this study are 1) Knowledge. 2) Personality. 3) Extracurricular This system is built by applying the web-based Profile Matching method and MySQL as the database. With the application of the Profile Matching method in determining outstanding students at SMK Karya Serdang Lubuk Pakam from the 20 predetermined candidates, the best student is Putri with a score of 2.16.
Sistem Pendukung Keputusan Menentukan Prioritas Tujuan Wisata Daerah pada Kabupaten Karo dengan Metode TOPSIS Jimmi Herdianda Gurusinga; Bosker Sinaga; Anita Sindar RM Sinaga
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.6656

Abstract

There are approximately 20 tourist objects in the Karo Regency area that are close to each other, such as Gundaling Hill, Lumbini Nature Park, Fun Land Mickey Holiday and other places. The main problem is designing a system using the SPK in determining the priority of regional tourist destinations in Karo Regency using the TOPSIS method. Problem solving steps are carried out from problem identification, determining alternative solutions to problems that arise so that the best decisions can be made. The weight of the criteria to determine the preferred criteria. The greater the weight, the more priority. Weights for each criteria for determining priority destination of tourist attractions, Distance from Berastagi (weight 30%), Facilities and Facilities (weight 15%), Access (15%), Type of Tourism (weight 20%), Entrance Fee (Weight 15%), Culinary (weight 5%), and internet network (5%). The preference value (V) produces alternatives that are ordered from largest to smallest. The biggest preference is tourism priority, in this case Kubu Berastagi Hill becomes a priority destination based on criteria.
ANALISA DAN PERANCANGAN APLIKASI ALGORITMA APRIORI UNTUK KORELASI PENJUALAN PRODUK (STUDI KASUS : APOTIK DIORY FARMA) Harvei Desmon Hutahaean; Bosker Sinaga; Anastasya Aritonang Rajagukguk
Journal Of Informatic Pelita Nusantara Vol 1 No 1 (2016): Journal Of Informatic Pelita Nusantara (JIPN)
Publisher : STMIK Pelita NUsantara

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Abstract

Abstrak                 Apotik Diory merupakan pelayanan produk dan jasa yang dikaitkan dengan masyarakat. Pengolahan Apotik adalah segala kegiatan yang dilakukan oleh seorang Apoteker dalam rangka tugas dan fungsi Apotik yang meliputi perusahaan mulai dari stok obat, stok bahan racikan, pembelian dan penjualan. Oleh karena itu penelitian ini bertujuan untuk mendapatkan korelasi penjualan produk yang sering dibeli secara kebersamaan dalam suatu waktu.                Penelitian ini menggunakan proses data mining dengan metode Assosiation Rule dan Apriori. Assosiation Rule merupakan perhitungan support dan confidence dari suatu kombinasi item sedangkan Apriori merupakan pengambilan data dengan aturan asosiatif (Assosiatio Rule).Sistem ini menggunakan bahasa pemrograman Visual Basic 6.0 dan database MySQL. Kata Kunci : data mining, Assiciation Rule, Algoritma Apriori,Apotik
Co-Authors Adhar, Tengku Afan Agustina Purba Al Hashim, Safa Ayoub Anastasya Aritonang Rajagukguk Angelia M Manurung Arjon Samuel Sitio Barus, Eviyanti Br Barus, Nadela Bedizatulo Laia Br Barus, Maya Theresia Br Sitepu, Siska Feronika Br Tarigan, Nera Mayana Cindy Shintia Afriani Harahap Daniel Peris Halomoan Hutajulu Desimeri Laoli Dessy Sarah Simbolon Dina Fanita Ester Simanjuntak Fanita, Dina Fretty Wandani Ginting Fristi Riandari Harry Sutanto Hasanah, Holis Hasren Meliani Zebua Hasugian , Paska Marto Hasugian, Penda Sudarto Hengki Tamando Sihotang Humala Simangunsong Hutahaean, Harvei Desmon Ida Royani Simanungkalit Irwanda Prayogi Ivan NUSANTARA siagian Iwan Setiawan Jakaria Sembiring Jeprianto Sinaga Jijon Raphita Sagala Jimmi Herdianda Gurusinga Jimmi Herdianda Gurusinga Julius Sinaga Julius Sinaga, Julius Junius Sembiring Krisswanti, Yuri Laia, Erlina Logaraj Logaraj Lorena Ade Yolanda Sembiring Manurung, Jonson Marpaung, Meman Marpaung, Preddy Marpaung, Rahmadina Meman Marpaung Miftahul Jannah Muhammad Ibnu Hawari Murni Marbun Nansia, Oktavio Nera Mayana Br Tarigan Nera Mayana Br Tarigan Br Tarigan Nera Mayana Br.Tarigan Nina Karina Lolo Bintang Nopriansya Nopriansya Oktavio Nansia Parastia, Devina Prayogi, Irwanda Puspa Sari Puspita Sari R. Mahdalena Simanjorang Ramen, Sethu Rehliasna Br Barus Riska Amelia Riski Hari Hadi Salomo Sijabat Santhia Sarjon Defit Sembiring, Abdi Agustianta Sethu Ramen Silalahi, Monalisa Hotmauli Simamora, Erli Susanti Simanjuntak, Ester Sinaga, Anita Sindar R M Sinaga, Jeprianto Siregar, Nurika Sari Sucitra Sidabutar Sulindawaty Sulindawaty, Sulindawaty Susandri, Susandri Tania, Keke Tarigan, Eviyanti Br Tarigan, Ita Roseni Br Tarigan, Nera Mayana Br Tengku Afan Adhar Uzitha Ram Zamili, Kristof Rian