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All Journal Jurnal Informatika AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan
Aris Tantowi, Akhmad
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Sistem Pendukung Keputusan Seleksi Penerimaan Karyawan Dengan Metode SAW aris tantowi, akhmad; Inalawie, Reggie
Jurnal Informatika Vol 25 No 1 (2025): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/jurnalinformatika.v25i6

Abstract

This research aims to develop a decision support system for employee recruitment at PT. Syifatech Tegalindo using the Simple Additive Weighting (SAW) method. The company's current recruitment process is still manual, often resulting in subjective decisions and inconsistent selection results. This study implemented the SAW method to provide objective and consistent recommendations for employee selection based on predetermined criteria including interviews, competency tests, academic grades, work experience, and personality. The system was developed using PHP and a MySQL database. Test results showed that the SAW method can provide accurate ranking recommendations for prospective employees compared to manual selection by Human Resources experts. Implementation of this system is expected to improve the quality of employee recruitment decisions and reduce the time required for the selection process..
Sistem Pemilihan Vendor Instalasi Menggunakan Metode Analytical Hierarchy Process dan Simple Additive Weighting Achmad Birowo; Hauzan, Muhammad; Aris Tantowi, Akhmad
Jurnal Informatika Vol 25 No 1 (2025): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/jurnalinformatika.v25i7

Abstract

Telecommunication companies in carrying out network infrastructure development cannot be separated from the existence of cooperative relationships with vendors. Considering the importance of vendor selection, an information system in the form of an application is needed to make vendor selection can be done systematically and structured. This study aims to facilitate employees in selecting vendors, analyze employee knowledge in the vendor selection process, and implement a decision support system using a combination of the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The research will be carried out in several research stages. Where, data collection is carried out through in-depth interviews, observations, and literature studies. This study involves the stages of identifying key criteria in vendor selection and determining the types of attributes of each criterion according to the SAW method, formulating a pairwise comparison matrix to determine the weight of the criteria according to the AHP formula, then calculating the best vendor ranking based on the results of the SAW calculation. The results of this study are to facilitate employees in implementing network infrastructure installation services, a support system application has been created and designed that can assist in decision making when selecting vendors. Vendor selection data has been implemented through a strategically computed system, which is able to store and manage data well so as to increase its security.
Studi Empiris : Efektivitas Pemanfaatan Artificial Intelligence (AI) Untuk Mendukung Kinerja Guru Di Sekolah Dasar Negeri Aris Tantowi, Akhmad; Wiguna, Didik; Nurus Syaifullah, Muhamad
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 3 No. 4 (2026): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

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

Abstract

Penelitian ini bertujuan untuk menganalisis efektivitas pemanfaatan teknologi Artificial Intelligence (AI) dalam mendukung peningkatan kinerja guru di Sekolah Dasar Negeri. Fokus penelitian mencakup pemanfaatan AI untuk merencanakan kegiatan pembelajaran, mengembangkan bahan ajar yang interaktif, melaksanakan asesmen formatif, serta mengevaluasi persepsi guru terhadap penerapan AI di kelas. Metode penelitian yang digunakan adalah studi literatur sistematis yang dikombinasikan dengan analisis empiris dari studi kasus di beberapa sekolah dasar. Temuan penelitian menunjukkan bahwa AI mampu meningkatkan efisiensi kerja guru, memperkaya media dan metode pembelajaran, serta mendukung personalisasi pembelajaran sesuai kebutuhan siswa. Guru yang memanfaatkan AI dapat mengurangi beban administratif dan fokus pada interaksi pedagogis yang lebih efektif. Namun, implementasi AI masih menghadapi tantangan, termasuk kesiapan pelatihan guru, ketersediaan infrastruktur teknologi, serta dukungan kebijakan dari sekolah dan pihak terkait. Hasil penelitian ini memberikan wawasan penting bagi pengembangan strategi integrasi AI di pendidikan dasar, sekaligus menekankan perlunya peningkatan kapasitas guru agar pemanfaatan AI dapat maksimal dan berkelanjutan.
Co-Authors Achmad Birowo Hauzan, Muhammad Inalawie, Reggie Nurus Syaifullah, Muhamad Wiguna, Didik