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All Journal Buletin KKN Pendidikan JURNAL PENDIDIKAN IPS Scientica: Jurnal Ilmiah Sains dan Teknologi PERFECT: Journal of Smart Algorithms SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi DCS: Jurnal Pengabdian Masyarakat
Fardiansyah, Fardiansyah
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Journal : PERFECT: Journal of Smart Algorithms

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Flood Detection Tool Using Ultrasonic Sensor Based on Telegram and Sound in Krueng Kluet River Flow Ilham, Dirja Nur; Candra, Rudi Arif; Fardiansyah, Fardiansyah; Sipahutar , Erwinsyah; Budiansyah, Arie
PERFECT: Journal of Smart Algorithms Vol. 1 No. 2 (2024): PERFECT: Journal of Smart Algorithms, Article Research July 2024
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v1i2.29

Abstract

Flooding is a problem that until now still requires special handling from various parties, both from the government and the community. Flooding is not a light problem because flooding can disrupt community activities and cause losses, such as the washing away of household equipment, valuables, and electronic goods. Flooding occurs due to rising water levels in rivers due to abnormal rainfall, damaged dams, obstruction of water flow at the site of the dam's destruction in the River Basin Area (DAK), and the construction of facilities and infrastructure. The series of "Flood Detection Devices using Ultrasonic Based on Telegram and Sound consists of three parts, namely the input section, the control section, and the display section. This design was made to simplify the process in the Ultrasonic Flood Detection Device Design using telegrams and sound. The Ultrasonic Flood Detection Device Design Circuit using telegrams and sound consists of three parts, namely the input section, the control section, and the display section. The first Flood Detection Device Test using Ultrasonic Sensors Based on Telegram and Sound has been tried as many as 10 The first experiment The water depth is 1 meter, the distance of the sensor to the water surface is 3 meters, it is said that the status is safe, there is no notification to the telegram and the siren does not sound. Experiment 2: The water depth is 2 meters, the distance of the sensor from the water surface is 2 meters, it is said to be on standby, then the flood detector provides notification to the telegram via the telegram bot, and the siren sounds. Experiment 3: The water depth is 3 meters, the distance of the sensor from the water surface is 1 meter, it is said to be on standby, then the flood detector provides notification to the telegram via the telegram bot, and the siren sounds.
An Analysis of User Satisfaction on the Official Website of Politeknik Aceh Selatan Using the EUCS Method Fardiansyah, Fardiansyah; Ihsan, M Arinal; Kurniadi, Sepri
PERFECT: Journal of Smart Algorithms Vol. 2 No. 2 (2025): PERFECT: Journal of Smart Algorithms, Article Research July 2025
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v2i2.97

Abstract

This study aims to assess user satisfaction with the evaluated information system by employing a quantitative research approach, specifically through the use of a five-point Likert scale questionnaire. Respondents were asked to rate their level of agreement with 16 structured statements designed to reflect five key dimensions of user satisfaction: content, accuracy, format, ease of use, and timeliness. The Likert scale ranged from 1 (strongly disagree) to 5 (strongly agree), allowing for the collection of measurable and standardized responses. The collected data were analyzed by calculating the Actual Satisfaction Score (SKN), which represents the total cumulative score based on all respondents’ answers. This score was then compared to the Ideal Satisfaction Score (SKI), which was determined by multiplying the total number of respondents by the total number of questions and the highest possible Likert score. In this case, with 112 valid respondents, the SKN was calculated at 7,841, while the SKI reached 8,960, resulting in a Satisfaction Percentage (PK) of 87.52%. This high level of satisfaction suggests that the system effectively meets user expectations, particularly in delivering high-quality information, ensuring timely services, and providing a user-friendly interface. These findings highlight the system’s strong performance in key usability areas and underscore its potential for further development. Furthermore, the results serve as an evidence-based foundation for future enhancements, especially in fostering user-centered, accessible, and sustainable digital services.
Co-Authors Amri, Asbahrul Anugreni, Fera Anwar, Ihsan Arie Budiansyah Bahar, Andi Nur Asrah Bayu Hendro Wicaksono Candra, Rudi Arif Dharmawan, Johan Erwinsyah Sipahutar Ginting, Depi Hasan, Fakhril Hodaifi, Akhmad Ihsan, M Arinal Ilham, Dirja Nur Irwansyah Irwansyah Ismail Ismail Khairuman, Khairuman M. Samsul Hadi Mohammad Mustari Muhammad Rifa'at Adiakarti Farid Nurlinda Nurlinda, Nurlinda Nursita, Putri Nurwijayanti Pada, Andi Tenri Rater, Salya Rusda, Ahmad Amien Saputra, Devi Satria Sepri Kurniadi Sipahutar , Erwinsyah Sua, Andi Tenri Sulfikah, Sulfikah Yardina, Yardina