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All Journal QUANTUM: Jurnal Inovasi Pendidikan Sains Vidya Karya EDU-MAT: Jurnal Pendidikan Matematika Jurnal Bisnis dan Pembangunan Jurnal Nasional Komputasi dan Teknologi Informasi Kasuari: Physics Education Journal (KPEJ) Bubungan Tinggi: Jurnal Pengabdian Masyarakat Journal of Mathematics Science and Computer Education Computing and Education Technology Journal
Adini, Muhammad Hifdzi
Prodi Pendidikan Komputer, FKIP, Universitas Lambung Mangkurat
Aerospace Engineering Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mathematics Neuroscience Physics Social Sciences Transportation Other

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Utilizing Electromagnetic Radiation in Remote Sensing for Vegetation Health Analysis Using NDVI Approach with Sentinel-2 Imagery Pamuji, Rizky; Mahardika, Andi Ichsan; Wiranda, Nuruddin; Saputra, Novan Alkaf Bahraini; Adini, Muhammad Hifdzi; Pramatasari, Delsika
Kasuari: Physics Education Journal (KPEJ) Vol 6, No 2 (2023): December 2023
Publisher : Universitas Papua, Jurusan Pendidikan Fisika FKIP Unipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37891/kpej.v6i2.486

Abstract

The process of utilizing electromagnetic radiation from the radiometric values (Near-Infrared/NIR) and RED in the Normalized Difference Vegetation Index (NDVI) on Sentinel-2 imagery involves measuring light reflection at specific wavelengths reflected by vegetation. NDVI is computed by taking the difference between NIR and RED reflectance, then dividing it by their sum. In-depth analysis of electromagnetic wave interaction and plant spectral characteristics, such as NIR light reflection in healthy leaves, enables mapping vegetation health levels. The research aims to process image data and create a model visualizing vegetation health in the Sentinel-2 research area. Across the total area of 601,971,281.26 m2, 30.37% is healthy vegetation, 12.52% is moderate, and 53.33% is low or unhealthy. The least healthy area has an NDVI of -0.2006, while the healthiest area has a value of 0.6043.
DEVELOPMENT OF WEB-BASED INTERACTIVE LEARNING MEDIA ON THE TOPIC OF LIVING ORGANISM ADAPTATION USING THE TUTORIAL METHOD Sukmawati, R Ati; Khairunnisa, Khairunnisa; Yulinda, Ratna; Adini, Muhammad Hifdzi; Purba, Harja Santana; Ningrum, Nur Syifa
QUANTUM: Jurnal Inovasi Pendidikan Sains Vol 15, No 1 (2024): April 2024
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/quantum.v15i1.17489

Abstract

Web-based interactive learning media is a computer-based learning media, which was developed to provide feedback on user activities. The aim of this research is to develop appropriate web-based interactive learning media, on material on the adaptation of living things, using the tutorial method. The type of research used is Research and Development with the ADDIE development model, which has stages of analysis, design, development, implementation and evaluation. The test subjects were sixth grade students at SDN Sungai Miai 11 Banjarmasin. Data collection techniques were carried out using questionnaire techniques and test techniques. The data analysis techniques used are descriptive statistics and n-gain. The result of this research is web-based interactive learning media on the adaptation of living things using the tutorial method, which was developed using HTML, CSS, Bootstrap, Javascript, JSON, Firebase, Canva and Netlify technology. The results of the analysis show that the learning media material content is valid, in the very high category, while the media validity value is in the high category. The results of the practicality test show that the media is declared practical, with student responses on average agreeing. The media is also declared effective, with an n-gain value for medium qualifications and average student learning outcomes above the KKM. Therefore, web-based interactive learning media, on the adaptation of living things, using the tutorial method is declared suitable for use as supporting media in science learning in sixth grade.
Analisis Sentimen pada Aplikasi Pinjaman Online Easycash Menggunakan Algoritma Naïve Bayes di Media Sosial Twitter Melda, Melda; Cipta, Subhan Panji; Nurhaeni, Nurhaeni; Mambang, Mambang; Adini, Muhammad Hifdzi
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 4 (2024): Agustus 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i4.7918

Abstract

Abstrak - Pinjaman online EasyCash merupakan salah satu aplikasi pinjaman online yang banyak digunakan oleh masyarakat di berbagai kalangan dan hal tersebut membentuk opini masyarakat yang beraneka ragam baik itu bersifat postif ataupun negatif karena berdasarkan pengalam pribadi ataupun pengalam orang lain. Media sosial adalah tempat yang paling dirasa efektif dan praktis dalam menyampaikan pendapat bagi para pengguna khususnya pada media sosial Twitter. Penelitian ini bertujuan untuk mengtahui sentimen masyarakat terhadap pinjaman online EasyCash dan menerapkan algoritma Naïve Bayes dalam melakukan analisis sentimen, Dalam mengumpulkan data dan informasi dengan menggunakan metode eksperimenta. Berdasarkan hasil yang didapatkan mengenai analisis sentimen pada pinjaman online EasyCash di media sosial Twitter berhasil mengimplementasikan algoritma Naïve Bayes dengan akurasi sebesar 87%, pada label positif mendapatkan nilai precision 92%, recall 76%, f1-score 83% dan pada label negatif mendapatkan nilai precesion 85%, recall 95% dan f1-score 90%. Masyarakat cenderung memberikan komentar negatif dengan jumlah 688 data dan komentar positif dengan jumlah 362 data.  Kata kunci: analisis sentimen, easycash, naïve bayes, twitter Abstract - EasyCash online loan  is one of the online loan applications  that is widely used by people in various circles and it forms a variety of public opinions, both positive and negative because it is based on personal experience or other people's experience. Social media is the most effective and practical place to express opinions for users, especially on Twitter social media. This study aims to find out the public's sentiment towards EasyCash online lending  and apply the Naïve Bayes algorithm  in conducting sentiment analysis, in collecting data and information using experimental methods. Based on the results obtained regarding sentiment analysis on EasyCash online loans  on social media, Twitter successfully implemented the Naïve Bayes algorithm  with an accuracy of 87%, on the positive label it got a precision score  of 92%, recall 76%, f1-score 83% and on the negative label got  a precesion value 85%, recall 95% and f1-score 90%. The public tends to give negative comments with a total of 688 data and positive comments with a total of 362 data.  Keywords: analisis sentimen, easycash, naïve bayes, twitter
Developing High School Mathematics Teacher Competence Through Computational Thinking Integration Workshop Sari, Delsika Pramata; Pamuji, Rizky; Purba, Harja Santana; Adini, Muhammad Hifdzi; Saputra, Novan Alkaf Bahraini; Sukmawati, R Ati; Wiranda, Nuruddin; Mahardika, Andi Ichsan; Alizhafya, Nova Nor; Ardhabilly, Muchammad
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 7, No 2 (2025)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v7i2.13561

Abstract

This community service (CS) aimed to develop the competence of high school mathematics teachers through workshops integrating computational thinking in Barito Kuala Regency. The implementation method of this consisted of preparation, activity implementation and mentoring, and evaluation stages. In the preparation stage, a computational thinking workshop module was developed for mathematics material and distributed to participants during the training activities. Community service with a Participatory Action Research (PAR) approach is oriented towards community empowerment so the community can become an actor of change. Community service activities facilitate bridging mathematics teachers to develop CT in this case. This CS activity was conducted over two face-to-face meetings from August to September 2024. This CS activity was implemented in the Global Islamic Boarding School (GIBS) computer laboratory in Barito Kuala Regency. The participants who attended were 54 high school mathematics teachers from the region. The evaluation instrument used for data collection was a questionnaire filled out by participants via Google Forms. After the workshop, The evaluation showed that most teachers understood that CT was related to problem-solving through a systematic, logical, and algorithm-based approach. The high average score indicated that the training provided successfully introduced and effectively explained the CT concept. The involvement and active participation of teachers were very evident in this activity. Furthermore, an interesting finding was that teachers expressed 89.8% agreement that computational thinking needed to be taught to students. This was because CT could help students think critically and logically and build mental resilience, thereby increasing their readiness for the world of work in the future.
Co-Authors Abdul Rasyied Ahmad Yogi Aida Rizkina Akhmad Rizqan Alizhafya, Nova Nor Andi Amrullah Andi Ichsan Mahardika Ardhabilly, Muchammad Ati Sukmawati Aziza Nasrina Cipta, Subhan Panji Delsika Pramata Sari Eka Margita Erina Olty Cicilia Dewi Fahrul Ikhsan Hidayatullah Haili Sahwardi Ilahidah Fah Ngestu Khairunnisa Khairunnisa M. Andry Gunawan Mambang Melda, Melda Mitra Pramita Muhammad Agi Sahriza Daan Nur Muhammad Febry Mahfuz Muhammad Iman Rizqullah Muhammad Rizaldy Ervan Mustika Nur Oktaviani Nabila Najmi Ningrum, Nur Syifa Nurhaeni Nurhaeni Pamuji, Rizky Pramatasari, Delsika R Ati Sukmawati R. Ati Sukmawati R. Ati Sukmawati R. Ati Sukmawati, R. Ati Ratna Yulinda Santana Purba, Harja Saputra, Novan Alkaf Bahraini Sukmawati, R Ati Thari Maulida Noorsafitri Wiranda, Nuruddin Yogie Prayoga