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All Journal JURNAL REKAYASA TEKNOLOGI INFORMASI International Journal of Computer and Information System (IJCIS)
Kusuma, Junianto Chandra
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Implementasi AHP pada Sistem Pendukung Keputusan Rekomendasi Calon Pegawai di Humas dan Protokol Surakarta Putri, Frestiany Regina; Lestari, Dewi Amelia; Kusuma, Junianto Chandra
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 8, No 1 (2024): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jurti.v8i1.7948

Abstract

Humas dan Protokol Surakata adalah salah satu instansi dinas yang bertugas menangani secara langsung semua kebutuhan yang terkait dengan agenda Walikota. Tugas-tugas yang dilakukan oleh Humas dan Protokol Surakarta sangat kompleks, sehingga membutuhkan pegawai yang mumpuni untuk melakukan tugas-tugas tersebut. Proses rekrutmen calon pegawai di Humas dan Protokol Surakarta masih berjalan secara manual karena penyeleksi hanya menilai sejumlah hal dari hasil wawancara, dan didukung dengan data pribadi seperti curriculum vitae (CV) dan transkrip nilai. Namun dalam proses seleksi itu butuh waktu lama karena perhitungan seleksi secara manual. Selain itu, proses pencarian data masih lama dan file penilaian juga berisiko hilang, rusak, atau bahkan dimanipulasi karena semua orang dapat mengakses data. Oleh karena itu, peneliti membangun sistem pendukung keputusan yang berguna untuk membantu Humas dan Protokol Surakarta untuk menyimpan data yang terkomputerisasi, dan membantu memilih calon pegawai.Hasil dari penelitian ialah implementasi sistem pendukung keputusan berbasis website menggunakan metode AHP. Hasil penilaian dari proses perhitungan AHP berupa urutan ranking dari hasil perbandingan alternatif. Setiap Pelamar yang dibandingkan adalah Pelamar yang sebelumnya lolos seleksi tahap awal atau yang memiliki nilai tertinggi sesuai standar yang ditentukan. Sedangkan dalam pembangunannya, menggunakan metode pengembangan waterfall yang terdiri dari planning, analysis, design, code, test, dan deployment.
Artificial Intelligence System Integrated With Smartphone Application For Early Detection Of Stunting Based On Toddler Growth Index Iskandar, Dwi; Putri, Frestiany Regina; Kusuma, Junianto Chandra; Saputro, Rizal Tommy
International Journal of Computer and Information System (IJCIS) Vol 5, No 3 (2024): IJCIS : Vol 5 - Issue 3 - 2024
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v5i3.185

Abstract

Toddlers have certain characteristics and needs that require growth monitoring. Toddlers will experience a period called the "Golden age" which is a period of experiencing a golden period in early life. What needs to be considered during the Golden Age of Toddlers is the record of weight, height, and head circumference of the child at each visit, then the results are recorded using the Healthy Menu Card. Collaboration between Artificial Intelligence and IoT can provide innovative and effective solutions, these two fields of science can be collaborated with IoT Sensors for measuring weight and height, data collection and storage, AI systems for data analysis, providing recommendations, notification systems and monitoring. The method used to complete this research is a literature study and data collection to find reference materials, design technology concepts, development preparation, hardware assembly, Arduino IDE coding, uploading coding to hardware, PHP (Hypertext Preprocessor) coding, uploading PHP (Hypertext Preprocessor) Code to hosting, coding .Apk (Android Package), technology trials. This application is available on two platforms, namely web-based and Android. Everyone can weigh, but to record data to the system, users must register to get an account and QR code. QR code is used to transfer weight and height data into the system, and the account allows the user to view all weighing data and history. The system also displays a graph containing height, weight, and upper and lower limits of ideal weight.
Co-Authors Iskandar, Dwi Lestari, Dewi Amelia Putri, Frestiany Regina Saputro, Rizal Tommy