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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Rekayasa dan Manajemen Sistem Industri Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian kepada Masyarakat International Journal on Advanced Technology, Engineering, and Information System (IJATEIS) Journal of Advanced Technology and Multidiscipline (JATM)
Aldhama, Shofa Aulia
Universitas Airlangga
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

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ANALISIS PERBAIKAN SISTEM KERJA PROSES PACKAGING PRODUK AIR MINERAL BERBASIS OCRA INDEX DAN CARDIOVASCULAR LOAD Aldhama, Shofa Aulia; Sugiono, Sugiono; Andriani, Debrina Puspita
Jurnal Rekayasa dan Manajemen Sistem Industri Vol 3, No 10 (2015)
Publisher : Program Studi Teknik Industri Fakultas Teknik Universitas Brawijaya

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Abstract

Jika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui email shofa.ergo11@gmail.com, sugiono_ub@ub.ac.id, debrina@ub.ac.id Terima kasih
IoT-based weather station with air quality measurement using ESP32 for environmental aerial condition study Prisma Megantoro; Shofa Aulia Aldhama; Gunawan Setia Prihandana; P. Vigneshwaran
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 4: August 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i4.18990

Abstract

This article discusses the design of a weather station device that also functions to measure the concentration of gases in the air. This real-time telemetry device based on the internet of things (IoT) uses the ESP32 board to process measurement data. Some of the weather parameters measured are wind speed, wind direction, humidity, ambient air temperature, air pressure, rainfall, and ultraviolet (UV) index. Meanwhile, the gas concentration parameters in the air are ozone, hydrogen, methane, ammonia, carbon monoxide, and carbon dioxide. The readings from all sensors are processed by the ESP32 board and uploaded to the server. Then a client device will receive the data set and then processed, displayed on the monitor, and stored in the form of a text file. Furthermore, the monitor and the data are used for the analysis of the surrounding air quality and weather conditions.
SOSIALISASI PARAMETER KUALITAS AIR DAN PELATIHAN PENGGUNAAN DAN PERAWATAN FILTER AIR DI DESA JATIPRAHU KECAMATAN KARANGAN KABUPATEN TRENGGALEK Aisyah Dewi Muthi’ah; Gunawan Setia Prihandana; Chandrawati Putri Wulandari; Shofa Aulia Aldhama; Affiani Machmudah; Hanifah Nurroidah; Miftachul Jannah; Mohammad Sandiasri Suprapto; Prasasti Ikrar Luhur
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 5: Oktober 2021
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v1i5.402

Abstract

Air merupakan kebutuhan vital bagi kehidupan manusia, yang jika gagal dipenuhi maka akan muncul kerawanan kesehatan maupun sosial. Minimnya akses air bersih utamanya di daerah pelosok Indonesia membuat masyarakat terpaksa menggunakan air dengan kualitas yang kurang memenuhi standar kesehatan. Permasalahan umum yang ditemui adalah tingginya kandungan zat besi (Fe), mangan (Mn), atau zat kapur, sehingga masyarakat harus membeli air bersih untuk konsumsi sehari-hari. Salah satu daerah yang memiliki air dengan kandungan kapur yang tinggi adalah Desa Jatiprahu Kabupaten trenggalek. Program pengabdian kepada masyarakat ini bertujuan meningkatkan kesadaran akan pentingnya air bersih dan menyediakan filter air untuk menjamin akses tersedianya air bersih untuk kebutuhan rumah tangga, terutama di daerah-daerah yang memiliki kualitas air tanah atau air permukaan yang tidak memenuhi standar kesehatan. Sistem penyaring air yang akan disediakan memiliki kemampuan untuk mereduksi kandungan zat kapur dan juga mampu menjernihkan air.
The application of instrumentation system on a contactless robotic triage assistant to detect early transmission on a COVID-19 suspect Niko Azhari Hidayat; Prisma Megantoro; Abdufattah Yurianta; Amila Sofiah; Shofa Aulia Aldhama; Yutika Amelia Effendi
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1334-1344

Abstract

This article discusses the instrumentation system of airlangga robotic triage assistant version 1 (ARTA-1), a robot used as a contact-free triage assistant for Coronavirus disease (COVID-19) suspects. The triage process consists of automatic vital signs check-up as well as the suspect’s anamnesis that in turns will determine whether the suspect will get a specific care or not. Measurements of a suspect’s vital conditions, i.e. temperature, height, and weight, are carried out with sensors integrated with the Arduino boards, while a touch-free, hand gesture questions and answers is carried out to complete anamnesis process. A portable document format (PDF) format of the triage report, which recommends what to do to the suspect, will then be automatically generated and emailed to a designated medical staff.
Analisis Beban Fisiologi Kerja pada Penggunaan Masker Wajah saat Melakukan Aktivitas Fisik Shofa Aulia Aldhama; Chandrawati Putri Wulandari; Rike Surya Shafarani; Valencia Tesalonika; Priskila Yohana; Tozati Intan Ramadhani; Gilang Fadly Hassani
Journal of Advanced Technology and Multidiscipline Vol. 1 No. 2 (2022): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.034 KB) | DOI: 10.20473/jatm.v1i2.40345

Abstract

During the COVID-19 pandemic people are required to limit outside activities and keep following social distancing protocol. However, several studies have reported that indoor exercises have a greater risk toward COVID-19 virus infection. Therefore, wearing a mask during light to moderate intensity of outdoor physical activity is still recommended. We conduct an experiment to analyze physiological ergonomics aspect, whether people wearing different type of masks during physical activities and distraction of music would affect heart rate. Analysis of the average heart rate data was carried out using the calculation of VO2max and Energy Expenditure to determine the workload level of the four scenarios of treatment combination. The result shows a heavy level of physical load on the use of surgical mask with distraction of music and moderate level of physical load on the use of surgical without distraction of music.
Environmental Impact Analysis of Biogas Production Using Life Cycle Assessment (LCA) Towards Net Zero Emissions Fatiha, Aulia Putri; Muniroh, Muniroh; Aldhama, Shofa Aulia
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 3 (2025): AUGUST
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i3.1974

Abstract

The dairy cattle sector in Indonesia significantly contributes to greenhouse gas (GHG) emissions, particularly methane (CH₄). This study aims to analyze the environmental impacts of biogas production using the Life Cycle Assessment (LCA) approach. Data was collected from several biogas projects in Central Java and Yogyakarta, then analysed using OpenLCA software with cradle-to-grave system boundaries. The analysis was conducted using the Life Cycle Assessment (LCA) approach to assess the environmental impact at each stage of the life cycle, from raw material collection and production processes to utilisation and final disposal. In addition, supporting data was collected through interviews with project managers, field observations, and literature studies to ensure the accuracy and completeness of the analysis results. The results indicate that anaerobic digestion and biogas combustion are the major contributors to emissions but also play a key role in reducing methane release by up to 60%. Optimization of digester management and utilization of digestate as organic fertilizer can further minimize additional impacts. Hence, biogas demonstrates substantial potential as a mitigation strategy to support net zero emissions in the dairy cattle sector.
Evaluating Cognitive Load of a Laundry Service Worker: A Subjective Workload Assessment Technique Approach Wulandari, Chandrawati Putri; Vincent, Adriel Maruli; Hassani, Gilang Fadly; Sunar, Muhammad Akbar; Aldhama, Shofa Aulia; Mufidah, Ilma
Journal of Advanced Technology and Multidiscipline Vol. 4 No. 2 (2025): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v4i2.70952

Abstract

Laundry service workers perform repetitive and physically demanding tasks, often under time constraints, leading to increased cognitive load. Cognitive load assessment is crucial for understanding workload distribution and optimizing task allocation in labor-intensive industries. This study evaluates the cognitive load of laundry service workers using the Subjective Workload Assessment Technique (SWAT). The analysis focuses on two primary phases: scale development and event scoring. The scale development phase involved rating three workload dimensions: time pressure, mental effort, and stress level. The event scoring phase analyzed workload variations across tasks and workers. The findings indicate that ironing is the most cognitively demanding task, followed by washing and moving to the dryer, while storing and customer retrieval generally impose lower workloads. Notably, differences in workload perception among workers highlight the need for task redistribution, process optimization, and potential ergonomic interventions. This study provides valuable insights into improving worker efficiency and well-being in service industries.
Co-Authors Abdufattah Yurianta Affiani Machmudah Aisyah Dewi Muthi’ah Chandrawati Putri Wulandari Debrina Puspita Andriani Effendi, Yutika Amelia Fatiha, Aulia Putri Gilang Fadly Hassani Gunawan Setia Prihandana Hanifah Nurroidah Hassani, Gilang Fadly Hidayat, Niko Azhari Ilma Mufidah Miftachul Jannah Mohammad Sandiasri Suprapto Muniroh, Muniroh P. Vigneshwaran Prasasti Ikrar Luhur Priskila Yohana Prisma Megantoro Rike Surya Shafarani Sofiah, Amila Sugiono Sugiono Sunar, Muhammad Akbar Tozati Intan Ramadhani Valencia Tesalonika Vincent, Adriel Maruli