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All Journal Format : Jurnal Imiah Teknik Informatika Compiler Formosa Journal of Multidisciplinary Research (FJMR)
Anton Setiawan Honggowibowo
Institut Teknologi Dirgantara Adisutjipto
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Social Sciences

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Determination of Tutor Rewards Using the Profile Matching Method Anton Setiawan Honggowibowo; Astika Ayuningtyas
Formosa Journal of Multidisciplinary Research Vol. 1 No. 2 (2022): June 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (743.364 KB) | DOI: 10.55927/fjmr.v1i2.564

Abstract

Teachers are the spearhead to improve the quality of education because whether or not the quality of education is good or not, one of which will be determined by the teacher himself. Therefore, teachers need to be motivated and enthusiastic to teach more actively and diligently to share their knowledge with their students. In the learning process, teachers are required to be able to make innovations because students have their own uniqueness, so teachers are expected to be able to meet the needs of students in obtaining learning. The activities and workload of teachers in the world of education are currently increasing. The existence of awards in the form of rewards can increase the motivation of teachers in carrying out their duties and obligations. The criteria for a good teacher are not only seen from the criteria for education and experience, but other criteria are needed such as personality competence, pedagogical competence and social competence. These criteria will be the benchmark in selecting teachers who will receive rewards. The existence of an effective decision-making system to facilitate the determination of tutor rewards. The profile matching method is applied to obtain ranking search results that show the highest to the lowest scores for each teacher, from the ranking results, teachers are selected who will get rewards. The implementation of a website-based tutoring teacher reward application using the profile matching method can run well.
Implementasi Chatbot Untuk Rekomendasi Tema Tugas Akhir Program Studi Informatika Menggunakan Metode Simple Additive Weight Salam Aryanto; Anton Setiawan Honggowibowo; Jabbar Akhmad
FORMAT Vol 11, No 2 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2022.v11.i2.003

Abstract

Many of courses that have been taken makes it difficult for students to determine one area to focus on in determining the theme of the final project. The case study of this research is the Informatics Study Program at the Adisutjipto Aerospace Technology Institute, Yogyakarta. For this reason, a chatbot with a decision support system was made using the simple additive weighting (SAW) method which adds up the weights of the performance of each object that is different and has the same opportunity on all the criteria it has. This method requires the process of normalizing the decision matrix (X) to a scale that can be compared with all existing alternative ratings. The number of observation scores is the sum of the scores of each observation statement multiplied by the weight of the score according to the Likert scale. The maximum score is the maximum score on the Likert scale multiplied by the number of questions, so 5 x 9 = 45. The expected score is the maximum score multiplied by the number of respondents, so 45 x 30 = 1,200. Based on the feasibility test of the chatbot system for the final project recommendation using this method, it succeeded in calculating the feasibility of an application of 1074 (89.5%) with the formula for calculating the percentage of eligibility which was tested by 30 students of the 2017 class of Informatic Study Program, Adisutjipto Aerospace Technology Institute.
Marchetti type of aircraft engine error detection system using hill climbing heuristic Anton Setiawan Honggowibowo; Asih Pujiastuti; Yuliani Indrianingsih; Dhea Yogi Anugerah
Compiler Vol 10, No 1 (2021): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (939.779 KB) | DOI: 10.28989/compiler.v10i1.972

Abstract

Transportation has become a human need today, one of which is air transportation, namely airplanes. In order for the aircraft to be used properly and comfortably, it is necessary to carry out routine maintenance, especially before flying. Problems caused by aircraft engines are sometimes small problems that do not require a high level of knowledge. To overcome this, maybe someone who has very basic knowledge of aircraft engines can do it. But sometimes these problems also require a high level of expertise regarding these components so that they require technicians or experts to repair them. Through this application, users can consult the system such as consulting with experts to find out the symptoms that occur on the plane and find solutions to the problems encountered. The expert system built using the Hill Climbing Heuristic method resulted in 72.67% when tested on respondents.
Co-Authors Astika Ayuningtyas Dhea Yogi Anugerah Jabbar Akhmad Pujiastuti, Asih Salam Aryanto Yuliani Indrianingsih