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All Journal Jurnal Tecnoscienza Journal of Railway Transportation and Technology
Arief Darmawan
Universitas Kahuripan kediri
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Transportation Other

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Simulasi Software PLC Dan HMI SIEMENS TIA Portal Pada Proses Netralisasi pH Air Limbah Sulaeman; Arief Darmawan; Rendri Anggiat Siagian; Suyanto; Slamet Riyadi; Riska Nur Wakidah
JURNAL TECNOSCIENZA Vol. 8 No. 1 (2023): TECNOSCIENZA
Publisher : JURNAL TECNOSCIENZA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51158/tecnoscienza.v8i1.1055

Abstract

Di era industri yang berkembang pesat saat ini, kegiatan industri semakin meningkat. Namun, pertumbuhan industri juga berdampak pada peningkatan jumlah dan kualitas limbah cair yang dihasilkan. Air limbah sering mengandung bahan kimia yang dapat mencemari lingkungan jika dibuang tanpa perlakuan yang tepat ke saluran air. Salah satu parameter krusial dalam air limbah industri adalah pH, yang merupakan indikator keasaman atau kebasaan suatu larutan. Menurut Peraturan Menteri Lingkungan Hidup Republik Indonesia Nomor 5 Tahun 2014 pH air limbah harus berada dalam rentang pH 6.0–9.0 sebelum dibuang ke saluran air, sehingga terdapat urgensi untuk melakukan netralisasi pH. Proses netralisasi pH bertujuan untuk menetralkan air limbah dengan nilai pH asam atau basa menjadi pH netral. Dalam mewujudkan efektivitas proses netralisasi pH air limbah dan mengurangi potensi kesalahan manusia dalam proses-nya integrasi teknologi otomatisasi menjadi penting. Sehingga dalam penelitian ini penggunaan PLC dan HMI pada proses netralisasi pH air limbah dapat diterapkan. Berdasarkan hasil pengujian saat kondisi start sistem pada pH rendah(pH <6.0), pH in-range(pH 6.0-9.0), pHtinggi(pH >9.0), kondisi alarm sistem, dan kondisi stop sistem dapat diketahui tingkat keberhasilan proses adalah 100% dan sistem proses bekerja sesuai dengan prinsip kerja.
Design and development of an Early Warning System For Railway Level Crossings with arrival detection and speed monitoring based on Arduino Uno and Inductive Proximity Sensor Arief Darmawan; Trinil Muktiningrum
Journal of Railway Transportation and Technology Vol. 4 No. 2 (2025): November
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v4i2.62

Abstract

Railway level crossings are critical safety points prone to accidents, necessitating a reliable Early Warning System (EWS) to protect road users. This study designs and evaluates an EWS integrating Arduino Uno and inductive proximity sensors to detect train arrivals and monitor train speed at a level crossing in Blitar Regency. Field experiments were conducted with sensors installed at an optimal maximum distance of 30 mm from the train wheel flange. Over a five-day period, the sensors achieved a wheel detection success rate of approximately 99.95%, while the speed counting system showed an accuracy of 87.22% compared to GPS tracking data. The 12.78% deviation in speed measurement falls within acceptable tolerance limits according to international standards on measurement uncertainty and railway electromagnetic compatibility. Performance decreased significantly beyond the 30 mm threshold, confirming the recommended installation distance. Compared to existing systems, this approach demonstrates improved modularity and algorithmic flexibility that enable future accuracy enhancements. Routine maintenance and regular calibration are essential to sustain system stability. Future work will focus on algorithm development for enhanced train speed calculation precision and expanded testing under
Co-Authors Rendri Anggiat Siagian Riska Nur Wakidah Slamet Riyadi Sulaeman Suyanto Trinil Muktiningrum