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Analysis of the Teacher's Role in Evaluation of Student Learning Performance Using the TOPSIS Model (Case Study of Smk Negeri 1 Lhokseumawe) arief rahman; Zahratul Fitri; Zulkifli Zulkifli; Mutammimul Ula; Bambang Suhendra
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6288

Analysis Teacher performance assessment is very decisive in the quality of teaching and learning, This has an effect at the high-satisfactory of college students in information the fabric provided. The problem at the time of the study was that the teacher's performance assessment did not involve students, both assessments were carried out manually by filling out the teacher's learning performance satisfaction form. Therefore, the need for a model in the assessment and the results obtained are not subjective. The development in this study applies the topsis model where the results of this model can provide recommendations for school principals in Teacher Performance Assessment. The application of this topsis model provides a solution/policy in teacher assessment by students which is seen from the ranking results in the form of superior, very good, good and unsatisfactory in the success of providing material. The purpose of this study is to facilitate, supervise, control and see the assessment of the learning performance of SMK Negeri 1 Lhokseumawe teachers in the analysis of information technology-based teacher assessment with a desktop-based topsis model. The results showed that the first rank with a value of 0.616 lia amalia, the second rank with a value of 0.614 and the third rank with a value of 0.605 on behalf of Nazaruddin. The consequences of this test are obtained from the assessment of the topsis version of the trainer's performance.

Pengembangan Handout Berbasis Konstektual Pada Materi Laju Reaksi Untuk SMA/MA Sirry Alvina; Riska Imanda; Mellyzar Mellyzar; Zahratul Fitri
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 15 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

This research aimed to develop contextual-based handouts on reaction rate material with valid, viable, and interesting responses used as teaching materials in the learning process. The development model used in this study is the Borg and Gall models. The validity of the handout developed is divided into two validity of material and media by 84.1% and 93% respectively. Responses from 6 teachers and responses based on the questionnaire given were 91.17% and 90.77%. Handout developed is applied in the learning process with a total of 20 learners using pretest and posttest. Data obtained by researchers using the N-gain formula to find out the improvement of cognitive learning after giving treatment with the number of N-gain scores is 0.513. Based on the hypothesis test with the t-test on the known output sig (2-tailed) = 0.000 < 0.005 then Ho was rejected, meaning there was a significant difference in learning outcomes before and after using contextually based handouts. Based on the data above it was concluded that the results of contextual-based handout development research can be declared valid, feasible, and the response is interesting and can improve the cognitive learning

Analysis of Measuring Student Satisfaction with Teacher Performance Assessment Using the Naive Bayes Model Irma Yurni; Arief Rahman; Zahratul Fitri
Multica Science and Technology Vol 4 No 1 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i1.852

Naive Bayes model analysis to evaluate teacher quality based on the grades given by students with the variables of communication, mastery of material, teacher involvement, and teaching methods have an important role in determining student satisfaction assessments. The analysis results from the naive Bayes model show that student satisfaction tends to be higher for teachers who have good communication skills, strong mastery of the material, active involvement in the teaching and learning process, and the use of effective and innovative teaching methods. Therefore, to improve the quality of education, it is necessary to increase teacher competence in these four variables. In addition, the application of Naive Bayes model analysis can be an effective tool for identifying students who need improvement and development in analyzing student satisfaction. Naïve Bayes model analysis is used to predict the probability of student satisfaction based on the attributes involved. The results of the research show that analyzing and classifying student satisfaction assessments with good accuracy using the Naive Bayes model makes it easy to estimate the probability of satisfaction based on the attributes given. The results of research using the naive Bayes model with a probability of yes 0.0576 with a likelihood of yes and no getting a value of 0.6 while the probability of no is 0.0384 with a value of 0.4. for Normalization results 1 and Probability Value YES > Probability Value NO, Then Student Satisfaction with Teacher Performance is Satisfied with Teacher Performance.

Real-time Responses System Dalam Peningkatan Pelayanan Rumah Sakit Arun Lhokseumawe Menggunakan Metode Natural Language Processing: Studi Kasus pada Rumah Sakit Arun untuk Meningkatkan Kecepatan Pelayanan Silfa Maharani Br Padang; Muhammad Fikry; Zahratul Fitri
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i3.8359

Abstract Based on information from the Central Statistics Agency, the population of of Lhokseumawe City reached 191,396 people in 2022, which requires Rumah Sakit Arun Lhokseumawe to enhance its healthcare services to the community. The increase in population presents challenges for the hospital in addressing patients with health issues. Therefore, the author proposes the development of a "Real-Time Responses" system to improve services at Rumah Sakit Arun by utilizing Natural Language Processing (NLP) methods. This system aims to assist patients and the public in seeking information related to health and services available at the hospital. The approach used in developing the chatbot Long Short Term Memory (LSTM) is a component of NLP technology. NLP, in turn, is a field of artificial intelligence (AI) that allows computers to comprehend human text and speech. This technology combines linguistic computation with statistical models, machine learning, and deep learning, allowing computers to process human language in text or voice form and fully comprehend the meaning and sentiment of the writer or speaker. By applying this technology, it becomes expected that communication between the hospital and the community will become more effective, and access to health information can be obtained more quickly, supporting the enhancement of healthcare service quality in Lhokseumawe. Keywords: chatbot, NLP, LSTM, Arun Lhokseumawe, information

Optimalisasi Blue Economy Berbasis IoT dalam Pengawasan Kualitas Air Tambak untuk Sustainability UMKM di Kabupaten Aceh Utara Nunsina; Eva Darnila; Munawwar Khalil; Mustaqim; Zahratul Fitri
Jurnal Malikussaleh Mengabdi Vol. 4 No. 2 (2025): Jurnal Malikussaleh Mengabdi, Oktober 2025
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v4i02.24783

Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan produktivitas dan keberlanjutan UMKM sektor perikanan di Kabupaten Aceh Utara melalui penerapan konsep Blue Economy berbasis teknologi Internet of Things (IoT) untuk pengawasan kualitas air tambak. Permasalahan utama yang dihadapi mitra adalah tidak tersedianya sarana untuk memantau kualitas air secara real-time sehingga berpotensi menurunkan hasil produksi. Kegiatan dilakukan melalui sosialisasi, pelatihan, instalasi perangkat IoT, kalibrasi sensor, serta pendampingan penggunaan sistem. Hasil pelaksanaan menunjukkan bahwa penggunaan IoT mampu memberikan data kualitas air secara akurat dan cepat, sehingga petambak dapat mengambil langkah preventif maupun korektif tepat waktu. Hal ini berdampak pada peningkatan hasil panen, efisiensi penggunaan pakan dan air, serta pengurangan risiko kerugian. Program pengabdian kepada masyarakat ini mendukung tercapainya prinsip Blue Economy dan Sustainable Development Goals (SDGs) di sektor perikanan budidaya udang vaname di Aceh Utara.

Analysis of Measuring Student Satisfaction with Teacher Performance Assessment Using the Naive Bayes Model Irma Yurni; Arief Rahman; Zahratul Fitri
Multica Science and Technology (ACCREDITED-SINTA 5) Vol. 4 No. 1 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i1.852

Naive Bayes model analysis to evaluate teacher quality based on the grades given by students with the variables of communication, mastery of material, teacher involvement, and teaching methods have an important role in determining student satisfaction assessments. The analysis results from the naive Bayes model show that student satisfaction tends to be higher for teachers who have good communication skills, strong mastery of the material, active involvement in the teaching and learning process, and the use of effective and innovative teaching methods. Therefore, to improve the quality of education, it is necessary to increase teacher competence in these four variables. In addition, the application of Naive Bayes model analysis can be an effective tool for identifying students who need improvement and development in analyzing student satisfaction. Naïve Bayes model analysis is used to predict the probability of student satisfaction based on the attributes involved. The results of the research show that analyzing and classifying student satisfaction assessments with good accuracy using the Naive Bayes model makes it easy to estimate the probability of satisfaction based on the attributes given. The results of research using the naive Bayes model with a probability of yes 0.0576 with a likelihood of yes and no getting a value of 0.6 while the probability of no is 0.0384 with a value of 0.4. for Normalization results 1 and Probability Value YES > Probability Value NO, Then Student Satisfaction with Teacher Performance is Satisfied with Teacher Performance.

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