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All Journal Jurnal Pendidikan Vokasi Indonesian Journal of Educational Studies Journal of Educational Science and Technology Jurnal Kependidikan Media Jurnal Teknik Informatika (JUTIF) PENGABDI: Jurnal Hasil Pengabdian Masyarakat Seminar Nasional Pengabdian Kepada Masyarakat INOVASI: Jurnal Hasil Pengabdian Masyarakat IPTEK: Jurnal Hasil Pengabdian kepada Masyarakat Teknovokasi : Jurnal Pengabdian Masyarakat Seminar Nasional Hasil Penelitian LP2M UNM Jurnal Pengabdian Masyarakat Journal of Embedded Systems, Security and Intelligent Systems Jurnal MediaTIK Journal of Computers, Informatics, and Vocational Education
Ridwan Daud Mahande
Universitas Negeri Makassar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

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CUSTOMIZATION AND USABILITY TESTING AUTO ESSAY FILE GRADING LMS BASED METACOGNITIVE ASSESSMENT IN ENGINEERING FACULTY Ridwan Daud Mahande; Jasruddin; Fitrah Asma Darmawan; Muhammad Ayat Hidayat
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.118

Abstract

Online learning assessment and evaluation has been widely used using the Learning Management system (LMS). However, the form of the questions is still based on multiple choice. Evaluation and form of questions in LMS need to be developed by exploring metacognitive thinking. The LMS plugin supports Essay-based questions and assessments, it's just that this plugin needs to be supported with file submissions and metacognitive assessment rubrics. Therefore, this research aims to customize and test the usability of Auto Essay File Grading (AEG) metacognitive assessment based on LMS. This study uses a quantitative descriptive approach conducted at the Faculty of Engineering, Universitas Negeri Makassar, with lecturers and students as respondents. Data were collected through the USE questionnaire and analyzed using descriptive statistics. The results of the analysis of AEG usability testing from the point of view of lecturers and students who have the highest average are a usefulness. For the lowest average of the lecturers is the ease of use and from the student, the side is the ease of learning. These results also prove that the AEG application/plugin needs improvement in terms of ease and practicality of use so that users learn how to use it faster. Recommendations for ease of use and learning are discussed and explained further, along with the improved display, answer keywords, and minimizing irrelevant menus.
A NEW MODEL FOR HYDROPONIC LETTUCE NUTRITION ADAPTIVE CONTROL SYSTEM BASED ON FUZZY LOGIC SUGENO METHOD USING ESP32 Andi Baso Kaswar; Ridwan Daud Mahande; Jasruddin Daud Malago
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 2 (2023): JUTIF Volume 4, Number 2, April 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.2.626

Abstract

In the last few years, the terms Smart Agriculture, Smart Farming, Urban Farming, or Precision Farming have been increasingly recognized and growing rapidly. Hydroponics is one part that is currently a trend, both in industrial or household scale businesses and hobbies. One of the most important things to consider in maintaining the quality of hydroponic plant growth is the concentration of nutrients in the water. A series of studies have been conducted to improve the quality of hydroponic plants. However, the developments that have been carried out have not focused on optimal nutritional control. The previous hydroponic plant nutrition control system still used conventional methods, namely the use of a rule base with firm values ​​, and did not consider the quantity and quality of water. Therefore, this study proposes a new model for an adaptive control system for hydroponic lettuce nutrition based on the Fuzzy Logic Sugeno method using ESP32. The fuzzy logic Sugeno method is used to create a new model of the inference system for determining the amount of nutrient dosage based on supporting data obtained from sensors installed on hydroponic growing media. Compared with the conventional method, the resulting test results show that the proposed method can adapt the amount of added nutrients, provide optimal nutrient addition output, and prevent excess nutrient additions that can potentially accumulate toxic ions in water that degrade water quality.
Co-Authors A. Bangki Ade Putri Hummaerah Abdal, Nurul Mukhlisah Aksa, Reski Auliah Alamsyah - Ambo Dalle Aminuddin Bakry Andi Akram Nur Risal Andi Baso Kaswar Andi Baso Kaswar Ashari, Hilda Asiani Abu BAKHRANI RAUF Bakri, Hasrul Burhamzah, Muftihaturrahmah Dwi Rezky Anandari Sulaiman Dwi Wahyuni Aprianti Fathahillah Fathahillah Fitrah Asma Darmawan Fitrah Asma Darmawan Herdiani, Rizki Husnirrahman J Irwansyah Suwahyu Jasmin, Jasmin Jasruddin Daud Malago Jasruddin Daud Malago Johar Amir Mappalotten, Abd. Muis Mappangara, Surianto Muhammad Asriadi Muhammad Ayat Hidayat Muhammad Fadel Adha Muhammad Haristo Rahman Muhammad Nawir Nasir Nasir Nasrah Natsir Ninik Rahayu Ashadi Nita Marselina Noor Fadilah Romadhani Nurhijrah, Nurhijrah Nurul Mukhlisa Abdal Rivai, Andi Tenri Ola Samad, Muh Risal Samad, Muh Rizal Sanatang Serly Setialaksana, Wirawan - Shabrina Syntha Dewi Siddik, Andi Muhammad Amil Syahrul Syahrul Wahyu Hidayat Wahyuni, Maya Sari Yahya, Muh.