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      "title": "{JALUR NON REGULER - MAGANG TRIDHARMA} RANCANG BANGUN SISTEM MONITORING KOROSI BETON PADA \r\nMETODE SMART PATCH REPAIR CATHODIC PROTECTION \r\n(SPRCP) BERBASIS INTERNET OF THINGS DAN \r\nDISTRIBUTED REAL-TIME DATABASE",
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      "abstract": "Degradasi infrastruktur beton bertulang akibat korosi baja tulangan\r\nmerupakan masalah global yang mengancam integritas struktural dan menuntut\r\npembiayaan rehabilitasi tinggi. Upaya pemantauan dan validasi perlindungan beton\r\nmenggunakan instrumen manual di laboratorium rentan terhadap kesalahan\r\nparalaks dan gagal mengeksekusi mekanisme pemutusan arus presisi (Instant-Off).\r\nKeterbatasan metodologis ini menyebabkan data potensial korosi terdistorsi oleh\r\nhambatan resistansi ohmik bawaan material (IR Drop), sehingga mengurangi\r\nvaliditas keilmuan dalam analisis elektrokimia. Untuk memecahkan kebuntuan\r\ninstrumentasi tersebut, penelitian ini mengimplementasikan sistem akuisisi digital\r\nberbasis Internet of Things (IoT) dengan pendekatan Cyber-Physical Systems\r\n(CPS). Infrastruktur perangkat keras dibangun menggunakan mikrokontroler\r\nESP32 Dual-Core dan Analog-to-Digital Converter (ADC) ADS1115 untuk\r\nmenjamin fidelitas penangkapan sinyal mikro-volt. Rekayasa firmware mengadopsi\r\nalgoritma non-blocking asinkron dan Watchdog Timer sebagai mekanisme\r\npemulihan jaringan otonom. Distribusi aliran data disinkronisasikan menggunakan\r\nstruktur NoSQL JSON Tree pada Firebase Realtime Database menuju platform Web\r\nDashboard Single Page Application (SPA) React.js guna mengeksekusi pemrosesan\r\nanalitik secara on-the-fly. Hasil evaluasi membuktikan bahwa sistem ini mampu\r\nmengotomatisasi pemutusan arus Instant-Off dalam orde milidetik secara presisi,\r\nsukses mengeliminasi bias IR Drop, dan beroperasi secara stabil tanpa kelumpuhan\r\njaringan. Inovasi rekayasa yang mentransformasi proses klerikal menjadi sistem\r\nterdigitalisasi penuh ini dapat dimanfaatkan langsung oleh peneliti teknik sipil dan\r\npraktisi pemeliharaan infrastruktur maritim. Sebagai langkah pengembangan\r\nlanjutan, direkomendasikan transisi menuju arsitektur jaringan NB-IoT mandiri dan\r\nimplementasi machine learning untuk memprediksi sisa umur pakai material anoda\r\nkorban.",
      "date": "2026-04-21",
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        "000.000.003"
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            "family": "Hidayatullah",
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