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ANALISIS KORELASI PEARSON DALAM MENENTUKAN HUBUNGAN ANTARA MOTIVASI BELAJAR DENGAN KEMANDIRIAN BELAJAR PADA PEMBELAJARAN DARING Jabnabillah, Faradiba; Nur Margina
JURNAL SINTAK Vol. 1 No. 1 (2022): SEPTEMBER 2022
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (277.414 KB)

Pandemi Covid-19 memberikan pengaruh buruk terhadap berbagai bidang kehidupan sosial. Salah satunya ialah bidang pendidikan. Hal ini menyebabkan pembelajaran yang semula dilakukan secara tatap muka harus dialihkan menjadi pembelajaran daring. Masalah ini dapat mempengaruhi motivasi dan kemandirian belajar mahasiswa khususnya dalam pembelajaran Matematika. Adapun tujuan pada penelitian ini yaitu untuk mendeskripsikan hubungan antara motivasi belajar dengan kemadirian belajar mahasiswa pada pembelajaran daring di masa pandemi Covid-19. Penelitian ini menggunakan pendekatan kuantitatif deskriptif. Teknik pengumpulan data yang digunakan adalah metode observasi dan kuesioner. Teknik analisis data menggunakan Uji Korelasi Pearson. Hasil pada penelitian ini menjelaskan bahwa kemandirian belajar mahasiswa memiliki hubungan yang sedang dengan motivasi belajar mahasiswa dan bentuk hubungan antara kedua variabel ini adalah positif yang berarti semakin tinggi motivasi belajar mahasiswa maka semakin tinggi pula kemandirian belajar mahasiswa pada pembelajaran daring di masa pandemi covid-19. Kata Kunci: Motivasi Belajar; Kemandirian Belajar

Analisis Kemampuan Pemecahan Masalah Matematis Siswa Kelas VIII SMP Dalam Menyelesaikan Soal- Soal Geometri Bangun Ruang ilham, ilham; Jabnabillah, Faradiba; Astiati, Siska Dwi
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 6, No 1 (2022): JISIP (Jurnal Ilmu Sosial dan Pendidikan)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jisip.v6i1.2793

Students' mathematical problem solving ability is one thing that must be considered. This is because when students are given problem solving problems in the form of routine students are able to solve these problems, but if a non-routine problem arises, students will have difficulty. During teaching and learning activities students are able to solve problems when presented with questions of the same type. However, if given a variety of questions, some students have difficulty working on them. This study aims to explore and describe students' mathematical problem solving abilities in solving spatial problems. This study uses a descriptive qualitative approach. The data analysis technique in this study used descriptive analysis techniques. The results of the analysis show that high-ability subjects can understand the problem by writing steps, solving problems, re-examining the results of work very precisely and correctly. Students with moderate abilities can only solve problems without writing what is known and asked. Meanwhile, low-ability students cannot fulfill all aspects of mathematical problem solving.

Edukasi Tentang Implementasi Ilmu Matematika Dalam Bidang Kemaritiman Reza, Widya; Faradiba Jabnabillah; Anggareni, Andini Setyo Anggraeni; sabarinsyah
Jurnal SOLMA Vol. 13 No. 2 (2024)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v13i2.14932

Background: Sebahagian besar orang masih menganggap matematika sebagai ilmu yang sulit dan membingungkan karena dalam praktiknya, ilmu tersebut cenderung hanya ditekankan pada penguasaan konsep dan pengaplikasian matematika dalam soal-soal standar ujian tertulis tanpa adanya integrasi dengan kehidupan nyata. Tujuan pengabdian masyarakat ini untuk memberikan eduksi tentang bagaimana implementasi ilmu matematika dalam dunia nyata khusus nya bidang kemaritiman dengan memberikan berbagai contoh permasalahan dan cara memecahkan masalah menggunakan ilmu matematika. Metode: Kegiatan ini dilaksanakan di SMA N 21 Batam dengan jumlah peserta sebanyak 31 orang. Kegiatan ini berlangsung selama enam minggu dengan intervensi memberikan edukasi tentang implementasi ilmu matematika dalam bidang kemaritiman dengan praktik penggunaan software statistika dalam proses pembelajaran matematika. Rangkaian kegiatan ini terdiri dari prestest, uraian materi, praktik, sesi diskusi, dan post test. Hasil: Hasil pretest menunjukkan bahwa persentase tingkat motivasi siswa pada pembelajaran matematika masih banyak yang kurang termotivasi bahkan tidak termotivasi. sedangkan hasil post test menunjukkan bahwa terjadi peningkatan motivasi siswa setelah dilakukan pelatihan software statistika menggunakan data kemaritiman. Peserta juga memperoleh pengetahuan tentang implementasi ilmu matematika dalam berbagai bidang dengan emanfaatkan software statistika. Kesimpulan: Para siswa sangat antusias dan bersemangat mengikuti kegiatan ini yang ditunjukkan dengan peningkatan pemahaman, motivasi dan kepuasan dalam belajar ilmu matematika. Meskipun sudah memiliki pemahaman yang cukup, namun sebaiknya siswa dan guru matematika juga mampu meningkatkan motivasi dalam mempelajari ilmu matematika dengan pendekatan studi kasus dan penggunaan berbagai software matematika dalam proses pembelajaran.

Analisis Korelasi Pearson Dalam Menentukan Hubungan Antara Respon Dengan Kepuasan Mahasiswa Menggunakan Aplikasi Quizizz Jabnabillah, Faradiba; Siska Dwi Astiati
Pi: Mathematics Education Journal Vol. 7 No. 2 (2024): Oktober
Publisher : Program Studi Pendidikan Matematika Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/pmej.v7i2.10109

The aim of this research is to describe the relationship between response and satisfaction using the Quizizz application as a medium for taking quizzes in calculus courses. The subjects in this research were students of the Information Systems study program semester I in the 2022/2023 academic year who took Calculus courses at the Batam Institute of Technology, totaling 59 people. This research uses the Product Moment correlation test to see whether or not there is a relationship between response (X) and student satisfaction (Y) in using the Quizizz application in the Calculus course. The results of this research are a significant value for the response and satisfaction variables, namely 0.000, where this value is <0.05, thus the response and satisfaction variables have a relationship or correlation. Apart from that, the Pearson Correlation value for response and satisfaction is 0.955, which means that the degree of relationship between these two variables is very strongly correlated and the form of relationship between these two variables is positive, which means that the higher the response, the higher the student satisfaction in using the Quizizz application on the Calculus subject.

Analisis Korelasi Pearson Dalam Menentukan Hubungan Antara Respon Dengan Kepuasan Mahasiswa Menggunakan Aplikasi Quizizz Jabnabillah, Faradiba; Siska Dwi Astiati
Pi: Mathematics Education Journal Vol. 7 No. 2 (2024): Oktober
Publisher : Program Studi Pendidikan Matematika Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/pmej.v7i2.10109

The aim of this research is to describe the relationship between response and satisfaction using the Quizizz application as a medium for taking quizzes in calculus courses. The subjects in this research were students of the Information Systems study program semester I in the 2022/2023 academic year who took Calculus courses at the Batam Institute of Technology, totaling 59 people. This research uses the Product Moment correlation test to see whether or not there is a relationship between response (X) and student satisfaction (Y) in using the Quizizz application in the Calculus course. The results of this research are a significant value for the response and satisfaction variables, namely 0.000, where this value is <0.05, thus the response and satisfaction variables have a relationship or correlation. Apart from that, the Pearson Correlation value for response and satisfaction is 0.955, which means that the degree of relationship between these two variables is very strongly correlated and the form of relationship between these two variables is positive, which means that the higher the response, the higher the student satisfaction in using the Quizizz application on the Calculus subject.

Boosting Methods for Multi-label Data Cyberbullying Farasalsabila, Fidya; Aritonang, Mhd Adi Setiawan; Jabnabillah, Faradiba; Moniva, Anip; Lestari, Verra Budhi; Handayani, Rizky
JURIKOM (Jurnal Riset Komputer) Vol 12, No 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8721

Easy accessibility to the internet and social media allows individuals to communicate anonymously, providing opportunities for abusive and harmful behavior. The psychological impact of cyberbullying can be very detrimental, triggering stress, depression, and even causing more serious consequences such as suicide. This paper describes cyberbullying sentiment analysis with a focus on the use of four different boosting methods, namely Gradient Booster, Gradient Booster, XGBoost, AdaBoost, dan LightGBM on a multi-label public dataset covering 6 categories. The aim of this research is to compare and analyze the relative performance of these boosting methods in overcoming the challenges of multi-label sentiment analysis in the context of cyberbullying. Results reveal that XGBoost and LightGBM have a tendency to more effectively overcome the challenges of detecting cyberbullying in more complex categories, making a positive contribution to the development of superior detection systems in the context of multi-label sentiment analysis. This research contributes to the field by providing a comparative analysis of state-of-the-art boosting algorithms, highlighting their strengths in multi-label classification tasks, and offering practical insights for developing more accurate and reliable cyberbullying detection systems. The findings from this study are expected to serve as a reference for future development of machine learning-based tools that can help mitigate the psychological harm caused by online abuse, particularly in detecting subtle and complex forms of cyberbullying behavior.

Markovian modelling of transmission of tuberculosis cases in Indonesia Anggraeni, Andini Setyo; Jabnabillah, Faradiba
Desimal: Jurnal Matematika Vol. 7 No. 2 (2024): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v7i2.23477

Indonesia is ranked as the second highest contributor to global cases of Tuberculosis (TB), which requires a focused approach to the transmission of tuberculosis within the country. This research aims to model and analyze the spread of TB cases in Indonesia. This research uses a discrete-time Markov chain with S-I-T-R-D states and Maximum Likelihood Estimation to model the transmission of TB cases. This research provides innovation in modeling the transmission of TB cases with a more complex model by including the possibility of relapse and treatment outcomes using historical data of TB cases in Indonesia. This research produces a matrix of transition probabilities for each state, first transition probabilities, steady state states, expected times for each transition and lifetime.

PELATIHAN PEMANFAATAN AI UNTUK MEMBUAT VIDEO KREATIF Arnomo, Sasa Ani; Kremer, Hendri; Aritonang, Mhd Adi Setiawan; Jabnabillah, Faradiba; Yulia, Yulia
PUAN INDONESIA Vol. 7 No. 1 (2025): Jurnal PUAN Indonesia Vol. 7 No. 1 Juli 2025
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v7i1.407

Lack of support from parents, teachers, or peers can make students feel unmotivated to develop creativity. Therefore, an activity is needed that helps develop students' talents other than academics. AI training in video making has opened up new opportunities for school students to explore creativity. Making videos is not just a hobby, but also has many benefits for student development. It helps students explore new ideas, think out-of-the-box, and find unique ways to express themselves. In addition, it is very important to equip students with digital skills that are in great demand in the modern era, such as operating video editing software, searching for information online, and using various creative applications.

Forecasting Freight on Board for Gonggong Export in Batam Using Markov Chain Anggraeni, Andini Setyo; Jabnabillah, Faradiba; Reza, Widya; Cahya Wati, Dia
Jurnal Pijar Mipa Vol. 19 No. 3 (2024): May 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i3.6534

As an archipelagic country, Indonesia has great potential in the fisheries sector. As a free trade zone, Batam is important in exporting fishery products. One of the fishery export products in Batam City is gonggong snails. It is a favorite seafood item in Riau Islands Province and has high economic value. However, previous studies focused more on the content of gonggong snails and their industrial feasibility; there has been no specific research on the analysis of gonggong snail exports in Batam City, even though gonggong snails are one of Batam City's export products. In this research, we will forecast the freight on board (FoB) value for gonggong exports in Batam City using a discrete-time Markov chain with two states: above and below the moving average. There are several types of moving averages, including simple moving averages and weighted moving averages. An initial analysis will determine the moving averages' type and duration following the Gonggong export FOB data in Batam. The data used is the Gonggong export FoB data for Batam City from January 2020 to November 2023. Based on this data, the transition probability matrix will be calculated based on the number of export transitions below and above the Weighted Moving Average 6 (WMA 6) value. Limiting probability from the Markov chain will be used to predict the long-term FOB value of fishery product exports up to steady-state conditions. It was found that steady-state conditions would be reached after 17 months, with a probability of FOB exports below WMA6 of 55.06% and FOB exports above WMA6 of 44.94%.

Boosting Methods for Multi-label Data Cyberbullying Farasalsabila, Fidya; Aritonang, Mhd Adi Setiawan; Jabnabillah, Faradiba; Moniva, Anip; Lestari, Verra Budhi; Handayani, Rizky
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8721

Easy accessibility to the internet and social media allows individuals to communicate anonymously, providing opportunities for abusive and harmful behavior. The psychological impact of cyberbullying can be very detrimental, triggering stress, depression, and even causing more serious consequences such as suicide. This paper describes cyberbullying sentiment analysis with a focus on the use of four different boosting methods, namely Gradient Booster, Gradient Booster, XGBoost, AdaBoost, dan LightGBM on a multi-label public dataset covering 6 categories. The aim of this research is to compare and analyze the relative performance of these boosting methods in overcoming the challenges of multi-label sentiment analysis in the context of cyberbullying. Results reveal that XGBoost and LightGBM have a tendency to more effectively overcome the challenges of detecting cyberbullying in more complex categories, making a positive contribution to the development of superior detection systems in the context of multi-label sentiment analysis. This research contributes to the field by providing a comparative analysis of state-of-the-art boosting algorithms, highlighting their strengths in multi-label classification tasks, and offering practical insights for developing more accurate and reliable cyberbullying detection systems. The findings from this study are expected to serve as a reference for future development of machine learning-based tools that can help mitigate the psychological harm caused by online abuse, particularly in detecting subtle and complex forms of cyberbullying behavior.

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