Communities in Polibatam
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Item type:Item, Sistem Pengajuan Cuti Dan Izin Berbasis Laravel Untuk Digitalisasi Proses Administrasi Karyawan Di PT XYZ(Politeknik Negeri Batam, 2026-05-07) Manurung , Manase Josua; Firmanda, ArdimanThis application system for leave and permits, grounded in Laravel, was created to enhance the employee management workflow at PT XYZ. Prior to this system's introduction, applications were processed manually using paper forms and spreadsheets, leading to multiple operational challenges. Such manual methods complicated the ability of employees and management to keep track of application statuses. With this new system, employees can now register and submit requests for leave and permits electronically, thus improving communication among staff, managers, and the human resources team. The development of this system utilized thePrototyping approach and was constructed utilizing the Laravel PHP framework, with a MySQL database backing it. Additionally, the system incorporates HTML, CSS, and JavaScript to create an efficient user interface. Functional assessments performed with the Black-Box technique indicate that all essential features within the system operate in accordance with the outlined specifications. These assessments confirm the digital submission form and role authentication system's functionality has been validated successfully without any technical issues. The system enables application information to be recorded digitally via a well-organized database, supporting the monitoring of leave and permit history. The launch of this web-based application system has streamlined the administrative tasks at PT XYZ and improved the handling of employee leave and permit information.Item type:Item, Sistem Pengendalian Perangkat Smart Home Dengan Perintah Suara Menggunakan Raspberry Pi dan Smartphone(Politeknik Negeri Batam, 2026-06-05) Chaniago, Erik; Aryeni, IllaPenelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pengendalian perangkat smart home berbasis perintah suara secara offline menggunakan Raspberry Pi dan smartphone. Sistem dikembangkan untuk mengendalikan perangkat elektronik rumah tangga seperti lampu, kipas angin, televisi, dan pendingin ruangan (AC) melalui kombinasi perintah suara, kendali web, penjadwalan otomatis, serta komunikasi infrared dan relay. Metode pengenalan suara menggunakan model Faster-Whisper yang dioptimalkan untuk pemrosesan lokal tanpa ketergantungan koneksi internet, sedangkan komunikasi data antar perangkat menggunakan protokol MQTT. Pengujian dilakukan untuk mengevaluasi performa sistem dari beberapa aspek, meliputi akurasi pengenalan suara, latency pemrosesan, pengaruh noise lingkungan, Quality of Service (QoS) MQTT, serta keandalan database penyimpanan data log. Hasil pengujian menunjukkan bahwa model Faster-Whisper INT8 memberikan performa terbaik dengan waktu pemrosesan paling cepat dan penggunaan memori paling rendah dibandingkan model lain. Sistem pengenalan suara mencapai tingkat keberhasilan rata-rata sebesar 98% dari total 600 percobaan, dengan rata-rata latency sekitar 4,45 detik pada kondisi lingkungan normal. Pengujian noise menunjukkan bahwa peningkatan kebisingan menyebabkan penurunan akurasi dan peningkatan latency, namun sistem masih bekerja dengan baik pada tingkat noise sedang. Pengujian MQTT menunjukkan tingkat keberhasilan pengiriman pesan sebesar 100% pada seluruh level QoS, dengan latency rata-rata terendah pada QoS 0. Selain itu, sistem database mampu menyimpan hingga 1000 data log dengan success rate 100% dan waktu insert serta query yang relatif cepat. Berdasarkan hasil tersebut, sistem yang dikembangkan terbukti andal, efisien, dan layak diterapkan sebagai solusi smart home berbasis pengenalan suara offline, khususnya untuk meningkatkan kenyamanan dan aksesibilitas pengguna.Item type:Item, Designing a Safety Condition Monitoring System for Body Harness Installation Using the Decision Tree Method(Jaringan Telekomunikasi, 2026-03-31) T.S,DENNI; Kurniawan Risandriya, SumantriWork safety in high-altitude activities remains a major issue, particularly due to body harness installation errors such as hooks not being attached to anchor points or excessive tension on safety ropes. This study aims to develop a sensor-based body harness safety system and Decision Tree algorithm for real-time automatic monitoring. The system uses inductive proximity sensors to detect hook attachment and MPX5010 pressure sensors to measure excessive pressure on the harness rope. Sensor data is processed by a Decision Tree algorithm embedded in an Arduino Uno microcontroller to classify safe and unsafe conditions. In unsafe conditions, the system sends an emergency notification in the form of a misscall via the SIM800L GSM module. Sensor testing results show a 100% success rate for proximity and pressure sensors. Overall system testing using a confusion matrix results in 88% classification accuracy without false negatives. The proximity sensor functions as hook attachment verification, while the pressure sensor is the main parameter with a threshold of 3.425 kPa. The results of the study show that the system is capable of improving work safety at heights through effective early warningItem type:Item, Penerapan Metode 5R Di Ruang Lingkup Pekerjaan Admin Depo dan Gudang(Politeknik Negeri Batam, 2025-12-23) Arif,Muhammad; Wirawan , AdhitomoPenerapan Metode 5R di Ruang Lingkup Kerja Admin Depo dan GudangItem type:Item, Penerapan Metode 5R Diruang Lingkup Pekerjaan Admin Depo dan Gudang(Politeknik Negeri Batam, 2025-12-23) Arif,Muhammad; Wirawan,Adhitomo-