Sinaga, Mariani Putri (2025) Perancangan Dan Evaluasi Sistem Pemantauan Mesin Air Jet Loom ZA 205 Berbasis Iot Dan Power Apps Untuk Peningkatan Efisiensi Dan Kualitas Produksi. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Industri tekstil menghadapi tantangan dalam mengelola efisiensi operasional, khususnya terkait tingginya downtime mesin produksi. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pemantauan kondisi mesin Air Jet Loom ZA 205 berbasis Internet of Things (IoT) dan Power Apps, menganalisis efektivitas sistem terhadap performa mesin, serta mengevaluasi dampak implementasinya terhadap efisiensi, kualitas, dan kerugian finansial. Sistem yang dikembangkan menggunakan sinyal relay dari mesin sebagai input ke mikrokontroler ESP32, yang kemudian dikirimkan secara real-time ke basis data SQL dan divisualisasikan melalui dashboard Power Apps. Uji coba dilakukan pada 42 mesin selama periode Februari hingga April 2025. Hasil perhitungan Overall Equipment Effectiveness (OEE) menunjukkan peningkatan dari 61,34% menjadi 75,88%. Rata-rata downtime menurun dari 25,3% menjadi 11,8%, frekuensi gangguan turun dari 96 menjadi 43 kali per bulan, dan persentase kain Grade A meningkat sebesar 12,7%. Secara finansial, kerugian akibat downtime menurun dari estimasi ±Rp 5,9 juta per hari menjadi ±Rp 2,7 juta per hari, dengan potensi efisiensi hingga >Rp 400 juta per bulan jika sistem diterapkan ke seluruh unit mesin. Analisis regresi menunjukkan bahwa setiap peningkatan waktu respons operator berdampak signifikan terhadap peningkatan downtime, dengan koefisien korelasi negatif kuat (r = -0,89). Evaluasi terhadap dashboard Power Apps melalui survei kepada 20 responden menghasilkan skor rata-rata 4,46 dari skala 5 pada aspek Usefulness, Ease of Use, Visual Communication, dan Accuracy & Timeliness. Dengan demikian, sistem pemantauan berbasis IoT dan Power Apps yang dikembangkan terbukti efektif dalam meningkatkan efisiensi operasional, mengurangi kerugian downtime, serta mendukung pengambilan keputusan berbasis data yang akurat dan real-time ================================================================================================================The textile industry faces significant challenges in managing operational efficiency, particularly regarding high machine downtime. This study aims to design and implement a monitoring system for the Air Jet Loom ZA 205 using an Internet of Things (IoT)-based and Power Apps-integrated approach, analyze its effectiveness on machine performance, and evaluate its impact on operational efficiency, product quality, and financial losses. The system utilizes relay signals from the machine as input to an ESP32 microcontroller, which transmits real-time data to a SQL database and visualizes it through a Power Apps dashboard. A pilot implementation was conducted on 42 machines from February to April 2025. The calculation of Overall Equipment Effectiveness (OEE) shows an improvement from 61.34% to 75.88%. Average machine downtime decreased from 25.3% to 11.8%, the frequency of breakdowns dropped from 96 to 43 times per month, and the percentage of Grade A fabric increased by 12.7%. Financially, the estimated downtime losses were reduced from approximately IDR 5.9 million per day to IDR 2.7 million per day, with potential monthly efficiency gains exceeding IDR 400 million if the system is scaled across all machines. Regression analysis shows that each increase in operator response time significantly contributes to increased downtime, with a strong negative correlation coefficient (r = -0.89). Evaluation of the Power Apps dashboard through a survey of 20 respondents resulted in an average score of 4.46 out of 5 across four dimensions: Usefulness, Ease of Use, Visual Communication, and Accuracy & Timeliness. Thus, the IoT- and Power Apps-based monitoring system developed in this study has proven effective in improving operational efficiency, reducing downtime-related losses, and supporting accurate and real-time data-driven decision-making.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Internet of Things IoT, downtime, dashboard, Power Apps, Air Jet Loom ZA 2025, Internet of Things IoT, downtime, dashboard, Power Apps, Air Jet Loom ZA 2025 |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD30.213 Management information systems. Dashboards. Enterprise resource planning. |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis |
| Depositing User: | Mariani Putri Sinaga |
| Date Deposited: | 04 Aug 2025 11:45 |
| Last Modified: | 04 Aug 2025 11:45 |
| URI: | http://repository.its.ac.id/id/eprint/125193 |
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