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"Teknologi Internet of Things (IoT) memiliki potensi untuk merevolusi berbagai industri, termasuk pemantauan kualitas air. Penelitian ini mengusulkan sebuah sistem pemantauan kualitas air berbasis IoT menggunakan teknologi Low-Power Wide Area Network (LPWAN). Sistem tersebut terdiri dari perangkat IoT yang dilengkapi dengan sensor untuk mengukur berbagai parameter kualitas air, seperti pH, suhu, dan kekeruhan. Data yang terkumpul dikirimkan ke server pusat menggunakan teknologi LoRaWAN, yang memungkinkan komunikasi jarak jauh dengan konsumsi daya rendah. Data kemudian dianalisis dan diproses untuk memberikan informasi real-time tentang kualitas air kepada pemangku kepentingan. Sistem yang diajukan memberikan solusi efektif dan efisien untuk pemantauan kualitas air di daerah yang masih sulit terjangkau sinyal internet, di mana sistem pemantauan konvensional mungkin kurang efektif apabila dilakukan karena infrastruktur yang terbatas.

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The Internet of Things (IoT) technology has the potential to revolutionize various industries, including water quality monitoring. This research proposes an IoT-based water quality monitoring system using Low-Power Wide Area Network (LPWAN) technology. The system consists of IoT devices equipped with sensors to measure various water quality parameters, such as pH, temperature, and turbidity. The collected data is sent to the central server using LoRaWAN technology, which allows for long-range communication with low power consumption. The data is then analyzed and processed to provide real-time information on water quality to stakeholders. The proposed system provides an effective and efficient solution for water quality monitoring in remote areas with limited internet access, where conventional monitoring systems may be less effective due to limited infrastructure."

"Air merupakan bahan yang paling banyak digunakan dalam kehidupan, termasuk proses produksi berbagai jenis industri. Air memiliki beberapa tingkatan kualitas yang dibedakan berdasarkan proses pemurniannya, salah satu jenisnya adalah air murni. PT Forsta Kalmedic Global menggunakan air murni untuk keperluan sanitasi dan bahan pendukung pembuatan kultur media yang terdistribusi dalam beberapa ruangan produksi. Pemantauan kualitas air murni secara rutin dilakukan untuk memastikan bahwa air murni yang digunakan dalam rangkaian proses produksi memenuhi persyaratan kimia dan mikrobiologis yang ditetapkan. Pada tugas akhir ini, evaluasi terhadap hasil pemantauan air murni, khususnya pada ruangan Mixing selama periode bulan Agustus – Desember 2022 dilakukan untuk menilai kualitas dan kesesuaiannya terhadap persyaratan air murni yang telah ditentukan. Evaluasi yang dilakukan meliputi uji total karbon (TOC), uji konduktivitas, uji pH, dan uji microbial limit. Pengambilan data dilakukan secara retrospektif dengan mengumpulkan data hasil pemantauan air murni bulan Agustus – Desember 2022 yang kemudian dievaluasi berdasarkan persyaratan USP. Hasil evaluasi terhadap total karbon, konduktivitas, pH, dan total mikroba berturut-turut adalah 0.60 – 44.90 ppb; 0.086 – 0.982 uS/cm;, 6.30 – 6.90; dan <1 CFU/mL. Berdasarkan hasil tersebut, kualitas air murni PT Forsta Kalmedic Global yang dihasilkan oleh mesin pada bulan Agustus – Desember 2022 telah memenuhi spesifikasi.

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Water is the most widely used material in life, including the production processes of various types of industry. Water has several levels of quality which are differentiated based on the purification process, one type of which is purified water. PT Forsta Kalmedic Global uses purified water for sanitation purposes and as supporting material for making culture media which is distributed in several production rooms. Purified water quality monitoring is routinely carried out to ensure that the purified water used in the production process meets the specified chemical and microbiological requirements. In this research, an evaluation of the results of purified water monitoring, especially in the Mixing room during the period August – December 2022 was carried out to assess its quality and suitability to the specified purified water requirements. Evaluations carried out include total carbon (TOC) tests, conductivity tests, pH tests and microbial limit tests. Data collection was carried out retrospectively by collecting purified water monitoring data from August – December 2022 which was then evaluated based on USP requirements. The evaluation results of total carbon, conductivity, pH and total microbes were respectively 0.60 – 44.90 ppb; 0.086 – 0.982 uS/cm;, 6.30 – 6.90; and <1 CFU/mL. Based on these results, the quality of PT Forsta Kalmedic Global's purified water produced by the machine in August – December 2022 has met specifications."

"Penelitian ini bertujuan untuk mendapatkan prosedur kerja atau Standard Operating Procedure (SOP) rancangan sistem pemantauan kualitas supplier yang mempertimbangkan level non-conformity. Sistem yang ada di manufaktur elektronik sebagai tempat penelitian belum cukup efektif, penanganan untuk semua non-conformity yang terjadi menggunakan Corrective Action Request (CAR) form. Untuk merancang sistem ini, metode utama yang digunakan dalam penelitian ini adalah Quality Function Deployment (QFD). Penelitian ini menggunakan historical data dari non-conformity yang terjadi selama bulan Juli – Desember 2021. Dari penelitian ini dihasilkan sebuah sistem pemantauan kualitas supplier berupa prosedur kerja atau SOP yang mengklasifikasikan level non-conformity berdasarkan critical level yang merujuk pada dampak non-conformity tersebut pada bisnis perusahaan dan juga dihasilkan corrective action yang sesuai dengan level non-conformity.

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The purpose of this study is to obtain working procedures or Standard Operating Procedures (SOPs) of supplier quality monitoring system designs that consider the level of non-conformity. The existing approach used in electronics production is ineffective in handling all non-conformities that occur utilizing the Corrective Action Request (CAR) form. The key method employed in this research to design this system is Quality Function Deployment (QFD).

This research used the non-conformities data that happened between July and December 2021. This study yielded a supplier quality monitoring system in the form of work procedures or SOP, which classifies the level of non-conformity based on the critical level, which refers to the impact of the non-conformity on the company's business and also produces corrective actions based on the level of non-conformity."

"This book presents the design and development of an Internet of Things (IoT) enabled, smart sensor to detect nitrate contamination in natural water. It considers three different sensors designed, fabricated and configured for nitrate detection: a Graphite/PDMS and Si-based MEMS sensors, and aFR4-based sensor. It also introduces a selective polymer material developed by means of the ion imprinting polymerization technique that was used as a coating on the Si-based MEMS sensor. Further, the book discusses the development of a smart sensing system that can be used to remotely monitor the nitrate concentration in any water. Fully explaining all the techniques used, the book is of interest to engineers, researchers and scientists working in the field of the water-quality measurement."

"A significant and convenient approach to detection and analysis of biological, environmental and agricultural items is the harnessing of features in widely available smartphones to create field-deployable scientific instruments, allowing measurements to be made onsite and in real-time. This book will cover a number of self-contained smartphone instruments with the particular focus on spectroscopic-based measurements. Measurement and analysis on precision of such low-cost instrumentations are provided to compare with more expensive commercial equipment.This book also discusses some limitations, possible recommendations and scopes for further instrumentations using smartphones and other smart devices. Particularly, the opportunity to integrate the devices into the global Internet-of-Things (IoT) platform will be discussed. Researchers and instrumentation designers in optical and photonic sensing, smart and IoT-based sensing, biological and environmental analysts, agricultural, and food quality researchers (and public health authorities) will find this book useful as reference. Students in science and engineering disciplines for teaching and educational purposes will also find this book useful as a secondary textbook."