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Andri Wijaya
Sistem Informasi, Sekolah Tinggi Teknik Musi, Palembang 30133
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Perbandingan Algoritma Naïve Bayes Dan Support Vector Machine Dalam Menentukan Sentimen Publik Terhadap Copilot Agustio Dwitama; Meilinda, Meilinda; Julian Masidin, Nevin; Wijaya, Andri
Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi Vol. 3 No. 1 (2025): Januari
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/jsimtek.v3i1.800

Abstract

Chatbot modern, termasuk Copilot dari Microsoft Edge, berkembang pesat berkat teknologi pemrosesan bahasa alami (NLP). Penelitian ini menganalisis sentimen publik terhadap Copilot menggunakan algoritma Naïve Bayes dan Support Vector Machine (SVM). Dengan mengumpulkan 20.000 ulasan dari Google Play Store melalui library Python “google_play_scraper”, data diproses dengan langkah-langkah preprocessing, diikuti pelabelan menggunakan VADER untuk mengklasifikasikan ulasan menjadi positif, negatif, dan netral. Metode TF-IDF digunakan untuk mengindeks dan memberikan bobot pada istilah sebelum menerapkan model pencarian berbasis vektor. Hasil evaluasi menunjukkan SVM unggul dibandingkan Naïve Bayes dalam akurasi (96,54% vs 90,32%), precision, recall, dan F1-score, terutama dalam mendeteksi ulasan negatif. Word Cloud analisis menunjukkan kata kunci positif dominan seperti "app" dan "good", mencerminkan persepsi pengguna yang baik terhadap Copilot. Penelitian ini merekomendasikan pengoptimalan lebih lanjut untuk Naïve Bayes dan menegaskan bahwa SVM adalah pilihan lebih baik untuk analisis sentimen kompleks.
Analisis Kontribusi Tafsir Tarbawi Terhadap Pengembangan Pendidikan Kritis dan Analitis Mirza, Iskandar; Wijaya, Andri
Jurnal Pendidikan Indonesia : Teori, Penelitian, dan Inovasi Vol 5, No 1 (2025): Jurnal pendidikan Indonesia: Teori, Penelitian, dan Inovasi
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpi.v5i1.1131

Abstract

In the context of Islamic education, tafsir tarbawi plays an important role in enhancing critical and analytical education. Tafsir tarbawi, which means "explanation of Quranic verses on educational issues," is a highly relevant topic. Tafsir Tarbawi in this context not only provides a literal interpretation of the verses of the Qur'an but also discusses the complex and ever-changing values of education. Therefore, Tafsir Tarbawi is established as a mandatory course in Islamic education programs, encouraging students to develop critical and independent thinking skills, as well as applying the knowledge gained in everyday life, ensuring that the next generation of Muslim educators have a deep understanding of the goals of Islamic education. This research aims to analyze the contribution of Tafsir Tarbawi in the development of critical and analytical education. Using literature review, this study examines how tafsir tarbawi contributes to enhancing critical and analytical thinking skills in Islamic educational settings. The research results show that the tarbawi interpretation approach not only enriches students' cognitive understanding of the verses of the Qur'an but also encourages them to think more reflectively, independently, and contextually in applying Islamic values. However, the challenges in implementation include the lack of integration in the curriculum and minimal training for educators. Therefore, this research recommends strengthening the curriculum based on tafsir tarbawi and organizing teacher training in its implementation.ABSTRAKDalam konteks pendidikan Islam, tafsir tarbawi memainkan peran penting dalam meningkatkan pendidikan kritis dan analitis. Tafsir tarbawi, yang berarti "penjelasan ayat-ayat Al-Qur'an tentang masalah pendidikan, "merupakan topik yang sangat relevan. Tafsir Tarbawi dalam konteks ini tidak hanya memberikan interpretasi literal dari ayat-ayat Al-Qur'an, tetapi juga berbicara tentang nilai-nilai pendidikan yang kompleks dan terus berubah. Oleh karena itu, Tafsir Tarbawi ditetapkan sebagai mata kuliah wajib dalam program pendidikan agama Islam, siswa didorong untuk mengembangkan kemampuan berpikir kritis dan mandiri, serta menerapkan pengetahuan yang diperoleh dalam kehidupan sehari-hari, memastikan bahwa generasi berikutnya dari pendidik Muslim memiliki pemahaman yang mendalam tentang tujuan pendidikan islam. Penelitian ini bertujuan untuk menganalisis kontribusi tafsir tarbawi dalam pengembangan pendidikan kritis dan analitis. Dengan menggunakan metode pendekatan kualitatif dengan analisis tafsir tarbawi sebagai kerangka teori untuk mengidentifikasi nilai-nilai pendidikan, penelitian ini mengkaji bagaimana tafsir tarbawi berkontribusi dalam meningkatkan keterampilan berpikir kritis dan analitis di lingkungan pendidikan Islam. Hasil penelitian menunjukkan bahwa pendekatan tafsir tarbawi tidak hanya memperkaya pemahaman kognitif siswa terhadap ayat-ayat Al-Qur'an, tetapi mendorong untuk berpikir lebih reflektif, independen, dan kontekstual dalam mengaplikasikan nilai-nilai Islam. Namun, tantangan dalam implementasi meliputi kurangnya integrasi dalam kurikulum dan minimnya pelatihan bagi pendidik. Oleh karena itu, penelitian ini merekomendasikan penguatan kurikulum berbasis tafsir tarbawi serta penyelenggaraan pelatihan guru dalam penerapannya.
Gambaran Kecukupan Asupan Sarapan Pada Siswa Kelas XI SMA Negeri 6 Yogyakarta Andri Wijaya; Endri Yuliati; Yunita Indah Prasetyaningrum
Prosiding Seminar Nasional Multidisiplin Ilmu Vol. 6 No. 1 (2024): Membangun Ekosistem AI di Bidang Kesehatan, Ekonomi, dan Humaniora: Peluang dan
Publisher : Universitas Respati Yogyakarta

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Abstract

Sarapan pagi berperan penting dalam memenuhi kebutuhan zat gizi anak sekolah. Sementara itu,melewatkan sarapan dapat mengurangi produktivitas di sekolah karena mengganggu proses pembelajaran sehingga anak tidak dapat berkonsentrasi. Untuk mengetahui gambaran kecukupanasupan sarapan siswa-siswi kelas XI di SMA Negeri 6 Yogyakarta. Desain penelitian menggunakan rancangan deskriptif analitik yang dilaksanakan pada bulan Mei tahun 2024. Jumlah sampel 69 orang yang dipilih dengan teknik purposive sampling. Alat pengumpulan data menggunakan kuesioner formulir food recall 1x24 jam sebanyak 3 kali, yaitu 2 kali saat weekday dan 1 kali saat weekend.Dari hasil penelitian diketahui mayoritas subjek penelitian memiliki kecukupan asupan sarapan dalam kategori kurang, yaitu 78,3%. Hasil analisis menunjukkan bahwa hampir seperempat subjek penelitian melewatkan sarapan setiap harinya. Berdasarkan hasil perbandingan konsumsi sarapan antara weekday dan weekend didapatkan bahwa pada saat hari kerja hanya 8,7% yang tidak sarapan sedangkan pada saat hari libur terdapat sebanyak 24,6% yang tidak sarapan.
Korelasi Pola Asuh dan Motivasi Belajar dengan Prestasi Matematika Siswa SMA Kusuma Bangsa Palembang Andri Wijaya; Mujiyanto Mujiyanto; Alexander Chandra
Dhammavicaya : Jurnal Pengkajian Dhamma Vol. 8 No. 2 (2025): Dhammavicaya : Jurnal Pengkajian Dhamma
Publisher : Institut Nalanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47861/dhammavicaya.v8i2.1632

Abstract

The Correlation between Parenting Patterns and Learning Motivation to Student Learning Outcomes in Mathematics Subjects at SMA Kusuma Bangsa Palembang. Buddhist Religious Education Thesis, Nalanda Institute, Dr. Mujiyanto, S.Pd., M.Pd. as first advisor and Dr. Alexander Chandra, M.M., M.Kn., MBA as second advisor. This research was aimed to determine the correlation between parenting patterns and learning motivation to student learning outcomes in mathematics subjects at SMA Kusuma Bangsa Palembang. The hypothesis proposed in this study is that there is a correlation between parenting patterns and learning motivation to student learning outcomes in mathematics subjects at SMA Kusuma Bangsa Palembang. The sample in this research amounted to 135 students of class X. The measuring instrument in data collection used a scale of parenting patterns, a scale of learning motivation, and a scale of student learning outcomes in mathematics, with a correlational method as a research method. The results showed that the correlation coefficient of 0.726 indicated a positive relationship and high interpretation. The Fcount value = 7.071, Ftable (0.05; 135) = 3.060 with the criteria Fcount > Ftable, so that the null hypothesis (Ho) which states that there is no correlation between parenting patterns and learning motivation on student learning outcomes in mathematics subjects at SMA Kusuma Bangsa Palembang is rejected. Thus, there is a significant positive correlation between parenting patterns and learning motivation on student learning outcomes in mathematics at SMA Kusuma Bangsa Palembang with multiple regression analysis y = 73.178 + 0.164X1 + 0.183X2 which is real. The magnitude of the effective contribution of parenting patterns and learning motivation to student learning outcomes in mathematics at SMA Kusuma Bangsa Palembang is 52.7%, while the remaining 47.3% is caused by other factors.
Penggunaan Machine Learning (ML) dan Natural Language Processing (NLP) untuk mendeteksi Sentimen Ancaman Siber Wijaya, Andri; Putra, Steven Adi
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

Cybersecurity has become a critical issue in the digital era, with evidence in the last 3 years there have been 6 cybercrime cases in Indonesia that attacked servers, one of which was the latest theft of Bank Syariah Indonesia data in May which resulted in the server being paralyzed for 5 days and the impact was that customers could not access the mobile banking application. From the various cybercrime cases that have occurred in Indonesia, we need to know the current trend of public sentiment about it and one of the sources of public sentiment is Twitter. The use of Machine Learning (ML) and Natural Language Processing (NLP) has become a major focus in understanding public sentiment contained in twitter data. This research proposes an approach that combines ML and NLP techniques to detect sentiment in tweets. The method includes a pre-processing stage to clean and transform the tweet text into a vector representation, followed by the application of ML classification model namely Naïve Bayes to identify positive, negative or neutral sentiments from the tweet dataset. This research utilizes a set of collected and annotated tweet data using python to train and test the model. The experimental results show that the proposed approach successfully produces sentiment classification with an accuracy rate of 62%. It can be concluded that the accuracy of the model is still satisfactory with a positive recall value of 74%, meaning that the public sentiment of the tweets still contains words of a positive nature.
Perencanaan Strategis Sistem Informasi pada Perusahaan XYZ di Palembang Masidin, Nevin Julian; Meilinda, Meilinda; Dwitama, Agustio; Wijaya, Andri
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11186

Abstract

Information system strategic planning is an important step in supporting business sustainability and growth, especially in today's digital era. XYZ Company in Palembang faces challenges in managing information systems, such as less than optimal data security, high manual usage (paper recording) in operations, and suboptimal use of data to support strategic decision making that can hinder efficiency and competitiveness. This study aims to develop an integrated information system strategy using the Ward and Peppard method, as well as SWOT and PESTLE analysis to evaluate the internal and external environment. The results of the analysis indicate the need to increase the use of digital technology for operational transformation and data-based decision making. So that this study can provide solutions for companies in utilizing information systems to improve efficiency, innovation, and competitiveness in the industry.
Analisis Sentimen Film Squid Game Melalui Platform X Menggunakan Metode Lexicon Based Anggoro, Deo; Alessandro, Andreas; Aditya, Putra; Wijaya, Andri
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11197

Abstract

This study discusses the role of movies as a medium in conveying social and emotional messages, with a focus on the Squid Game series. This research applies Lexicon-Based sentiment analysis to evaluate audience reactions to the series using 10,000 tweets from Twitter (X). The results of the analysis showed that 36.3% of the comments had a positive sentiment, 46.4% were neutral, and 17.2% were negative. The majority of neutral sentiment indicates that many viewers were interested but did not have strong opinions, while the significant positive sentiment indicates a favorable reception to the movie. These results provide insight into how audiences responded to the themes of economic inequality and social oppression in the movie. This analysis highlights the relevance of sentiment analysis in understanding audience responses to social issues, as well as how films can reflect deeper cultural and social issues.
ANALISIS SENTIMEN ULASAN PENGGUNA GAME SIMULATOR TOKO SUPERMARKET PADA GOOGLE PLAYSTORE Sugiarti, Sabar; Pamungkas, Martinus Ponco; Adtiya, Setenilaus; Wijaya, Andri
Jurnal Sains Sistem Informasi Vol 3, No 2 (2025): JSSI (Mei)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jssi.v3i2.18053

Abstract

Pengembangan game daring semakin pesat dan mencakup berbagai genre yang menarik bagi pengguna. Supermarket Shop Simulator adalah game yang sangat digemari dan tersedia di Google Play Store. Tujuan dari penelitian ini adalah untuk menerapkan metode Naïve Bayes guna menganalisis sentimen ulasan pengguna terhadap game tersebut. Metode web scraping digunakan untuk mengumpulkan data dari Google Play Store, dan langkah-langkah praproses seperti pembersihan, normalisasi, penghapusan stopword, tokenisasi, dan stemming digunakan untuk menganalisis data. Metrik untuk mengingat, akurasi, dan presisi digunakan untuk menilai model yang dikembangkan. Temuan analisis menunjukkan bahwa pendekatan Naïve Bayes memiliki akurasi klasifikasi sentimen sebesar 78%. Menurut data word cloud, istilah "iklan", "game", "bagus", "menyenangkan", dan "bermain" sering ditemukan dalam ulasan pengguna. Diharapkan bahwa penelitian ini akan membantu pengembang dalam memahami reaksi pelanggan dan meningkatkan kualitas game di masa mendatang.
Effect of Body Weight on Product Pengaruh Bobot Badan terhadap Produktivitas Ayam Petelur Strain Isa Brown Andri Wijaya; Asek, Ambo; Lusia Komala Widiastuti
JDP: Jurnal Dunia Peternakan Vol. 1 No. 2 (2023): Jurnal Dunia Peternakan
Publisher : Fakultas Peternakan Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/jdp.v1i2.1197

Abstract

Ayam petelur merupakan ayam betina dewasa yang dipelihara secara khusus untuk dimanfaatkan hasilnya berupa telur. Ayam petelur memiliki periode bertelur pada umur antara 17 sampai 80 minggu, puncak produksi sebesar 96% biasanya pada umur 26 minggu. Penelitian ini bertujuan untuk mengetahui pengaruh bobot badan terhadap produktivitas ayam petelur strain Isa Brown. Penelitian dimulai dari tanggal 1–30 Januari 2023. Materi yang digunakan dalam penelitian ini berupa data rekording ayam petelur strain Isa Brown yang dipelihara selama satu periode pemeliharaan. Data yang telah diperoleh dianalisis menggunakan uji regresi linier dengan menggunakan aplikasi SPSS. Parameter yang diuji adalah konsumsi pakan, Hen Day Production, dan berat telur. Hasil penelitian menunjukan bahwa bobot badan ayam petelur Strain Isa Brown memberikan pengaruh yang nyata pada konsumsi pakan dan Hen Day Production.
Pemetaan Tata Kelola IT Menggunakan Standarisasi Cobit 4.1 (Studi Kasus UKMC Palembang) Simbolon, Defrianti; Wijaya, Andri
MEANS (Media Informasi Analisa dan Sistem) Volume 4 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.245 KB) | DOI: 10.54367/means.v4i1.496

Abstract

COBIT 4.1 is a standardization of framework mapping using a balanced scorecard that aims to implement information technology governance performance in UKMC. Information technology carried out in UKMC must be monitored and managed properly so as to avoid problems such as disrupted data security, data leakage, and organizational losses. Identification results obtained from COBIT 4.1 mapping obtained 21 sub domain processes that must be applied in UKMC such as PO (PO1, PO2, PO4, PO8, PO10), AI (AI, AI2, AI4, AI6, AI7), DS (DS1, DS2 , DS3, DS4 DS5, DS7, DS8, DS10, DS13), and ME (ME1, ME2). The sub domain of the process must be implemented and implemented in UKMC to support the achievement of the realization of good university governance and ensure that the information technology system that has been implemented in UKMC is aligned with the organization's goals so that the vision and mission of KSITK will run effectively and efficiently for UKMC development
Co-Authors Aditiya Hermawan Aditya, Putra Adtiya, Setenilaus Afifah Azzahra Agustio Dwitama Aguswan, Michael Junius Alessandro, Andreas Alexander Chandra Alexius Hendra Gunawan Amat Basri Andreas Alessandro Andreas Alessandro Fernando Putra Andri Wijaya Andronikus G Anggoro, Deo Arif Aliyanto Arif Aliyanto Arif Aliyanto Arvin Lawistra Asek, Ambo Azahra, Khalida Zia Fitrah Azzahra, Afifah Azzahra, Violina Baiturrahman, Ridwan Benny Daniawan Bima Aprianto S Buchori Asyik cia, crecia Crecia Crecia Crecia, Crecia Damayanti, Lily Daniawan, Benny Deo anggoro Dwitama, Agustio Effendy, Ellena Endri Yuliati Enjeli, Margareta Erwin Erwin Filikano, Thomas Gunawan, Andronikus Halim, Ardie Hambali, M Syahbani IFAH KHADIJAH, IFAH Iskandar Mirza Iskandar Syah Jacqueline Henny P Jessen Laorenza Suwandi Julian Masidin, Nevin JUNAEDI Kevin kevin Kurniawan Maranto, Ardiane Rossi Kusneti, Leni Latius Hermawan Leni Kusneti Lily Damayanti Lusia Komala Widiastuti Maria Bellaniar Ismiati Masidin, Nevin Julian Meilinda Meilinda Meilinda Michael Junius Aguswan Muhammad Basri Muhammad Firdaus Mujiyanto Mujiyanto Mutia Maharani Nurhadi, M Wiran Jaya Pamungkas, Martinus Ponco Pratama, Paskalis Arindra Putra, Steven Adi Raditya Rimbawan Raditya Rimbawan O Ratu, Anggitta Rika Solihah, Rika Rosana Rosana Septi Putri Septi Putri Azzahra Simbolon, Defrianti Sri Andayani Sri Andayani Stenilaus A Sugiarti, Sabar Sumual, Imanuel Marcell Supriadi, Jonathan Suwitno Suwitno, Suwitno Thomas Filikano Verri Kuswanto Wiyono Yakub, Handoyo Yo Ceng Giap Yoel, Yoel Marcelino Pribadi Yohanes Agung Apriyanto Yusuf Kurnia