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All Journal Jurnal Ilmiah Keperawatan Jurnal Dinamis Elektriese: Jurnal Sains dan Teknologi Elektro
Qanitah, Qanitah
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Electrical & Electronics Engineering Energy Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary

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Faktor Determinan Turnover Intention Perawat di Rumah Sakit Islam Surabaya Qanitah, Qanitah; Muhadi, Muhadi; Indahyati, Emilya
Jurnal Ilmiah Keperawatan STIKES Hang Tuah Surabaya Vol 17 No 2 (2022): October Edition
Publisher : Sekolah Tinggi Ilmu Kesehatan Hang Tuah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30643/jiksht.v17i2.209

Abstract

The turnover rate in RSI Surabaya for the last 5 years, namely 2017-2021, has increased by an average of 18.14%. High turnover rates can have a negative and positive impact on hospitals. The occurrence of turnover begins with the desire to leave, the desire to leave work can be caused by several factors including individual factors and job satisfaction factors. This study aims to determine individual determinants and job satisfaction related to nursing turnover intention at RSI Surabaya. The method used in this study is a quantitative analytical approach with a cross-sectional design, and sampling technique with simple random sampling and the sample in this study was 126 nurses. Data analysis used univariate and bivariate tests (correlation tests of Kendall's tau-b). The Results nurses who work at RSI Surabaya feel quite satisfied with job satisfaction (the job itself, salary, promotion opportunities, supervision, and co-workers). The incidence of nurse turnover intention at RSI Surabaya is included in the moderate category. The determinant factor of individuals related to the turnover intention of nurses at RSI Surabaya is the marital status with a significant value of 0.021, while the determinant factor of job satisfaction related to turnover intention in RSI is satisfaction with salary, with a significant value obtained of 0.027. The more unmarried nurses, the higher the turnover intention, and the lower the level of satisfaction with the salary, the higher the turnover intention.
PENGEMBANGAN PROTOTIPE TURBIN SEBAGAI PROYEK APLIKASI ENERGI TERBARUKAN Hasbiyati, Haning; Qanitah, Qanitah; Nuruddin, Mochammad
DINAMIS Vol 21 No 2 Desember (2024): Dinamis
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Sains dan Teknologi Jayapura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58839/jd.v21i2.1466

Abstract

Pengembangan prototipe turbin mendukung kemandirian teknologi energi nasional. Perlunya mendesain dan mengembangkan prototipe turbin yang efisien, ekonomis, dan sesuai dengan kondisi lokal. Penelitian ini diharapkan mampu memberikan kontribusi nyata dalam mendukung transisi energi berkelanjutan di Indonesia. Menghasilkan data komparatif mengenai efisiensi, daya tahan, dan performa berbagai desain prototipe turbin berdasarkan parameter teknis dan pengujian lapangan. Metode penelitian yang digunakan dalam penelitian ini adalah penelitian pengembangan (R&D). Metode penelitian ini digunakan untuk menghasilkan dan menguji prototipe turbin. Hasil analisis berbagai prototipe turbin, masing-masing memiliki kelebihan dan kekurangan yang mencerminkan potensi serta tantangan dalam pengembangan desain turbin. Evaluasi ini menyoroti pentingnya inovasi dan optimasi desain turbin untuk meningkatkan efisiensi dan daya tahan, baik untuk aplikasi komersial maupun edukasi. Namun, keberlanjutan dan optimalisasi desain tetap menjadi fokus penting untuk mendukung implementasi energi terbarukan secara luas
Rancang Bangun Sistem Monitoring Proses Produksi Bioetanol Berbasis ESP8266 dan ESP32 SoC: Design and Construction of a Bioethanol Production Process Monitoring System Based on ESP8266 and ESP32 SoC Afianah, Nuzula; Qanitah, Qanitah; Febriani, Siti Diah Ayu; Susmiati, Yuana
Elektriese: Jurnal Sains dan Teknologi Elektro Vol. 15 No. 02 (2025): Artikel Riset Edisi Oktober 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/elektriese.v15i02.5976

Abstract

The increasing demand for renewable energy has driven the development of bioethanol as an alternative fuel to replace or blend with fossil fuels, offering high prospects in the future. Driven by these high prospects, bioethanol production has begun to be widely carried out. However, the bioethanol production process tends to be complex, including fermentation and distillation processes that require intense and strict monitoring. Monitoring of both processes consists of essential parameters that must be considered, such as temperature, pH, and ethanol content, as time series data is taken intermittently and continuously. This monitoring or supervision determines the quality and success of the bioethanol production process from biomass materials, in this case, using fermented and distilled sugarcane juice. This study aims to design and implement a bioethanol production process monitoring system based on the ESP8266 microcontroller and ESP32 SoC. Both micro modules are implemented in a hybrid with HTTP communication for data logger output on a cloud service. This system uses a DS18B20 temperature sensor, a pH sensor, and an MQ3 ethanol gas sensor programmed using the Arduino IDE. The development method used is the waterfall method. Several stages include needs, including system design, implementation, hardware and software testing, and system maintenance. The implementation results show success and satisfactory achievements from the performance analysis of the sensors used. The system can monitor parameters with low errors, <1% at temperature, <10% at pH, and can detect alcohol content up to 96% of the bioethanol produced.
Co-Authors Afianah, Nuzula Febriani, Siti Diah Ayu Hasbiyati, Haning Indahyati, Emilya Muhadi Muhadi, Muhadi nuruddin, mochammad Yuana Susmiati