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All Journal Jurnal MIPA Jurnal Buana Informatika InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Teknoinfo Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA IJPD (International Journal Of Public Devotion) JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Tertanam Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service KLIK: Kajian Ilmiah Informatika dan Komputer JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) BEES: Bulletin of Electrical and Electronics Engineering Jurnal Sisfotek Global Jurnal Telematics and Information Technology (TELEFORTECH) Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Journal of Computing and Informatics Research Journal of Engineering, Computer Science and Information Technology (JECSIT) Jurnal Ilmiah Informatika dan Ilmu Komputer Nuansa Informatika Journal of Informatics, Electrical and Electronics Engineering Bulletin of Informatics and Data Science Jurnal Ilmiah Computer Science Jurnal Media Borneo Jurnal Media Celebes Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Journal of Information Technology, Software Engineering and Computer Science Bulletin of Artificial Intelligence Journal of Decision Support System Research
Sanriomi Sintaro
Universitas Sam Ratulangi
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Journal : Journal of Artificial Intelligence and Technology Information

 1 
Sistem Pendukung Keputusan Seleksi Penerimaan Guru Menggunakan SAW A. Ferico Octaviansyah Pasaribu; Ade Surahman; Adhie Thyo Priandika; Sanriomi Sintaro; Yohana Tri Utami
Journal of Artificial Intelligence and Technology Information Vol. 1 No. 1 (2023): Volume 1 Number 1 March 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v1i1.21

Abstract

Tujuan dari penelitian ini adalah membuat sebuah sistem pendukung keputusan dalam seleksi penerimaan guru dengan menggunakan metode SAW, sehingga hasil seleksi penerimaan guru lebih relevan dan efektif karena menggunakan teknologi informasi dalam proses penerimaa guru. Hasil penelitian disimpulkan bahwa metode SAW dapat diimplementasikan dalam seleksi penerimaan calon guru dengan menggunakan kriteria Indeks Prestasi Kumulatif, Kemampuan Pedagogik, Profesional, Kepribadian, dan Kedisiplinan dari masing-masing calon guru. Hasil perhitungan menggunakan SAW dalam seleksi penerimaan calon guru, Peringkat 1 dalam seleksi penerimaan calon guru adalah Joni Fernando dengan skor 0,95. Peringkat 2 dalam seleksi penerimaan calon guru adalah Komala Puspa Rini dengan skor 0,94. Serta Peringkat 3 dalam seleksi penerimaan calon guru adalah Dwi Cahya Ningrum dengan skor 0,9.
Fuzzy Logic in Decision Support Systems Using Linear Equations in Construct 3 Game Engine Sanriomi Sintaro
Journal of Artificial Intelligence and Technology Information Vol. 1 No. 2 (2023): Volume 1 Number 2 June 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v1i2.43

Abstract

The current use of Construct 3 is not only used as a tool for developing games but can also be developed to create applications that can run on platforms that support HTML5. However, the superiority of construct 3, which only requires logic without using program code, sometimes its rather difficult to develop when we need construct 3 to calculate mathematical algorithms such as Dijkstra or fuzzy. The problem that I found in this study is how to make Construct 3 can do some calculations using logic without program code to produce the required mathematical algorithm. The main purpose of this research is to find out the best way to be able to run Non-Linear equations into game engine Construct 3. The conclusion in this study is by using linear equations we can calculate the formula into the logic board in Construct 3, so the development of applications that require algorithms can be done in construct 3 without using programming code. Another conclusion is, the application development time is getting faster and more effective. This is proven by the fact that there is no need for program codes which are usually long and have different forms from the formulas that have been prepared.
Penerapan Rank Reciprocal dan Multi-Attributive Border Approximation Area Comparison Untuk Penentuan Lokasi Cafe Baru Sanriomi Sintaro
Journal of Artificial Intelligence and Technology Information Vol. 2 No. 1 (2024): Volume 2 Number 1 March 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i1.103

Abstract

Determining the location for a new café involves careful and strategic considerations to ensure the success of the business. Geographical aspects such as local population, demographics, and level of competition in the area are the main factors considered. The combination of careful analysis of geographical factors, markets, as well as branding and business concepts, will help in determining the optimal location to open a successful new café. This study aims to provide recommendations for new café locations by applying a decision support system model, namely the reciprocal rank method to determine the weight of criteria and MABAC to assess the location of new cafes so that it will produce ranking recommendations for new locations. The application of reciprocal rank and MABAC methods in determining the location of new businesses gets the final results and provides recommendations for rank 1 with a final value of 0.4792 obtained by Location A, rank 2 with a final value of 0.2552 obtained by Location T, and rank 3 with a final value of 0.1512 obtained by Location D.
Penerapan Metode Preference Selection Index Terhadap Pemilihan Sales Terbaik Sintaro, Sanriomi
Journal of Artificial Intelligence and Technology Information Vol. 2 No. 2 (2024): Volume 2 Number 2 June 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i2.121

Abstract

Salesperson is an important part in a company that is responsible for selling products or services to potential customers. A salesperson's job is not only limited to selling, but also includes building strong relationships with customers, understanding their needs, and providing appropriate solutions. The best salespeople are those who have a combination of strong interpersonal skills, a deep understanding of the product or service they sell, and a dedication to providing the best service to customers. One of the main problems in choosing the best salesperson is finding a balance between technical skills and interpersonal skills. While having a solid knowledge of the products or services they sell is crucial, the ability to communicate effectively and build good relationships with customers is also crucial. The Preference Selection Index (PSI) method is an approach that allows evaluation and ranking of alternatives based on preferences relative to established criteria. The PSI method of selecting the best sales can be used to evaluate sales performance based on a number of predetermined criteria. By applying the PSI method, this study seeks to provide a more systematic and structured approach in assessing and selecting the best sales, which is expected to produce more accurate and objective recommendations. The ranking results show, for the first rank with a final PSI value of 0.912 obtained by Sales GS, the second rank with a final PSI value of 0.901 obtained by Sales HR, the third rank with a final PSI value of 0.888 obtained by Sales YP.
Co-Authors Ade Dwi Putra Ade Surahman Ade Surahman Ade Surahman Ade Yusupa Adhie Thyo Priandika Aditya Lapu Kalua Agung Taroreh, Gabriell Cristiano Agus Wantoro Ahmad Ari Aldino Ahmad Ari Aldino Albani Boutje Johanes Alfonsius, Eric Amelya Ramadhanty Van Gobel Arinda Rifaini Arshad, Muhammad Waqas Arundaa, Rillya Bernard Bernard, Bernard Budiono, Andiswar Muhamad Catra Adi Pranata Christian Alderi Jeffta Soewoeh Daniel Wolayan, Delon Dedi Darwis Dingse Pandiangan Djoni Hatidja Dodisutarma Lapihu Donaya Pasha Dr. Nelson Nainggolan, M.Si Eko Dedi Listiono Eliasta Ketaren Fenty ariany Henry Tampi, Christian Ronaldo Hutasoit, Las D. Idrajat Pangestu Irfan Fauzan Iriansu, Irfah Syagitsyah Islam, Noorul Isnain, Auliya Rahman Izudin Ismail Kadek Tame Jaya Kaplale, Jaidun Ramadhan Khafidlin Triatama Kurnia Noviyanti A. Mantu Lapu Kalua, Aditya Lili Andraini Lulud Oktaviani Lusiana Indawa Luther Latumakulita M. Ghufroni An’ars Mahardika Inra Takaendengan Mapalie, Natassya Klarissa Ribka Massie Hihola, Maharani Margareth Melvitasari Tinambunan Mesran, Mesran Muhammad Rahadiyan Bagaskara Muhammad Waqas Arshad Nelson Nainggolan Ngangi, Stephano Caesar Wenston ningtyas, Kurnia rimadhanti Nofri Khairandi Pamungkas, Nurhuda Budi Pasaribu, A. Ferico Octaviansyah Rillya Arundaa Ryan Randy Suryono Salaky, Deiby Tineke Setiawansyah Setiawansyah Setiawansyah Setiawansyah Sharon Tabita Sulung Shotya Goma Siska Ayu Widiana Soleman, Kurniawan Stephanie Marceline Raintung Stephano Caesar Wenston Ngangi SUAIDAH SUAIDAH, SUAIDAH Sumanto, Sumanto Surahman, Ade Takaendengan, Mahardika Inra Tenda, Edwin Tien Yulianti Turnip, Rama Ijon Tutu, Erlica M.I. Vederico Pitsalitz Sabandar Verina Putri Gloria Nainggolan Very Hendra Saputra Very Hendra Saputra Wahyudi, Agung Deni Waqas Arshad, Muhammad Wisard Widsli Kalengkongan Yessi Yunitasari YOHANA TRI UTAMI, YOHANA TRI Yohanes Bery Mokalu Yuni Tri Lestari, Yuni Tri Yuri Rahmanto