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All Journal Techno Nusa Mandiri : Journal of Computing and Information Technology Elang: Journal Of Interdisciplinary Research
Sugeng Widodo
Sekolah Tinggi Informatika & Komputer Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Other

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THE DEVELOPMENT OF AUTOMATIC CIGARETTE SMOKE DETECTION SYSTEM USING TA12-100 AND MQ-135 SENSORS Yusan Abid Janitra; Addin Aditya; Hilman Nuril Hadi; Diah Arifah P.; Sugeng Widodo
Jurnal Techno Nusa Mandiri Vol 21 No 1 (2024): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v21i1.5294

Abstract

Indonesia is ranked 3rd with the highest number of active smokers in the world after India and China. Cigarettes contain more than 4000 chemical compounds that are harmful to active smokers and passive smokers. The large number of active smokers in Indonesia also has an impact on passive smokers where passive smokers also inhale cigarette smoke. The purpose of this research is to build an automatic cigarette smoke detector to support air hygiene control, protect passive smokers, and save electricity used. The stages in designing this research include analysis of product specifications, assembly, programming, and trials. This study was designed using Arduino UNO as the microcontroller, the MQ-135 sensor as a tool to detect cigarette smoke, the TA12-100 sensor to calculate electrical power consumption, the relay as an automatic switch, and the exhaust fan as a smoke neutralizer. The results of this study are that the MQ-135 sensor can detect cigarette smoke properly with the Relay as an automatic switch that functions to turn on the exhaust fan automatically. Based on the test results on the TA12-100 sensor, the consumption of electrical energy with an automatic mechanism is more efficient than the consumption of electrical energy in a manual way, with a difference of 0.0000385 kWH and Rp. 0.05205. Future research could focus on developing a more complex system for overall air cleanliness control, rather than just focusing on cigarette smoke detection.
Pengembangan Sistem Informasi Penilaian Karyawan di PT. Majoo Teknologi Indonesia Amanda Febrianti; Sugeng Widodo
ELANG: Journal of Interdisciplinary Research Vol 2 No 2 (2025): ELANG: Journal of Interdisciplinary Research
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/elang.v2i2

Abstract

Diterima: 01-01-2022Diterima: 01-01-2022Direvisi: 01-01-2022Diterbitkan: 01-01-2022 Penilaian karyawan merupakan elemen krusial dalam mengevaluasi kinerja dan produktivitas karyawan, terutama bagi perusahaan dengan jumlah karyawan yang besar. PT. Majoo Teknologi Indonesia saat ini menggunakan Google Sheets dan email dalam proses penilaian karyawan, yang seringkali menimbulkan masalah efisiensi dan akurasi. Penelitian ini bertujuan untuk mengembangkan sistem informasi penilaian karyawan berbasis web yang dapat meningkatkan efisiensi dan akurasi dalam proses penilaian. Metode pengembangan sistem yang digunakan adalah model Waterfall, yang melibatkan tahap analisis kebutuhan, desain sistem, implementasi, pengujian, penempatan, dan pemeliharaan. Data dikumpulkan melalui wawancara dan observasi langsung di PT. Majoo Teknologi Indonesia. Hasil penelitian menunjukkan bahwa sistem informasi penilaian karyawan yang dikembangkan dapat meningkatkan efisiensi dan akurasi penilaian karyawan. Sistem baru ini memungkinkan divisi people untuk memantau kinerja karyawan secara real-time dan mengurangi kesalahan dalam proses penilaian. Kesimpulannya, pengembangan sistem informasi penilaian karyawan berbasis web ini berhasil memenuhi kebutuhan PT. Majoo Teknologi Indonesia dan dapat dijadikan referensi untuk pengembangan sistem serupa di perusahaan lain. Sistem ini tidak hanya meningkatkan efisiensi tetapi juga memberikan data yang lebih akurat dan mudah diakses.
Co-Authors Addin Aditya Amanda Febrianti Diah Arifah P. Hilman Nuril Hadi Yusan Abid Janitra