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Analisis Bibliometrik untuk Implementasi Enterprise Resource Planning (ERP) Bahit, Muhammad; Nadia Puteri Utami
Prosiding Seminar Nasional Manajemen, Ekonomi dan Akuntansi Vol. 6 No. 1 (2021): PROSIDING SEMINAR NASIONAL MANAJEMEN, EKONOMI DAN AKUNTANSI 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini menyajikan sebuah penelitian analisis bibliometrik tentang enterprise resource planning (ERP) pada UMKM. Penelitian ini bertujuan untuk menganalisis bagaimana implementasi ERP dalam mengelola transaksi dan perencanaan bisnis terintegrasi secara real time untuk menghasilkan strategi pemasaran yang berdampak pada peningkatan hasil usaha. enterprise resource planning (ERP) merupakan sistem berbasis komputer yang dirancang untuk memproses manajemen transaksi dan perencanaan bisnis yang dikelola karena memiliki banyak keunggulan seperti akses informasi, efisiensi dan otomasi pengendalian sistem. Penelitian ini menganalisis artikel yang diterbitkan dari database Google Scholar menggunakan software publish or perish (PoP) dalam rentang waktu 2015-2020 dan diklasifikasikan berdasarkan topik yaitu implementasi enterprise resource planning (ERP). Hasil analisis bibliometrik dapat digunakan untuk mengetahui implementasi enterprise resource planning (ERP), teknik yang digunakan untuk implementasi enterprise resource planning (ERP) dan cara menganalisis hasil dari implementasi enterprise resource planning (ERP)
The Influence of Government Ownership, Institutional Ownership, Foreign Ownership and Environmental Performance on Carbon Emission Disclosure With The Moderation Variable of Financial Distress Wahyuni, Endah Sri Sri; Mairjal, Revan; Prayogo, Imam; Sulastini, Sulastini; Surya, Adhi; Shaddiq, Syahrial; Bahit, Muhammad
AFRE (Accounting and Financial Review) Vol. 8 No. 1 (2025): March 2025
Publisher : Postgraduate Program Merdeka University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/afr.v8i1.13803

Abstract

Corporate social responsibility and interest in environmental impacts can influence a company's environmental policies and practices, including the distribution of emissions. This research aims to analyze and test the influence of government ownership, institutional ownership, foreign ownership and environmental performance on carbon emissions disclosure with the moderating variable financial distress in energy sector companies listed on the Indonesia Stock Exchange (BEI) in 2017-2021. The type of research used is associative quantitative with a sample of 45 companies from a population of 76 energy sector companies listed on the Indonesia Stock Exchange (BEI) in 2017-2021. The analysis technique used in this research is moderated regression analysis with a significance level of 5%. The results of this study show that ownership and institutional ownership partially have no effect on carbon emissions coverage, foreign ownership and environmental performance partially influence carbon emissions coverage, financial difficulties can moderate ownership on carbon emissions coverage, and financial difficulties cannot moderate institutions. ownership, device ownership and environmental performance on carbon emissions JEL Classification: G10, F64 DOI: https://doi.org/10.26905/afr.v8i1.13803  
Identifikasi Sentimen pada Data Teks Media Sosial Melalui Pendekatan Pembelajaran Terawasi Bahit, Muhammad; Sari, Yuslena; Baskara, Andreyan Rizky; Wijaya, Eka Setya; Yunus, Harry Pratama; Armelia, Alysa
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16032

Abstract

Analisis sentimen pada data teks media sosial menjadi penting untuk memahami opini publik, sehingga penelitian ini bertujuan untuk mengidentifikasi sentimen pada data teks media sosial melalui pendekatan pembelajaran terawasi. Dataset yang digunakan terdiri dari tweet dan ulasan produk yang telah dilabeli sentimen positif maupun negatif. Proses penelitian dilakukan melalui beberapa tahapan, yaitu prapemrosesan data (Removal of Stopwords, Lemmatization and Word Stemming, Spell Correction), Ekstraksi Fitur (N-Grm, Word count dan Tf-Idf Vectorizer) serta penerapan algoritma Multinomial Naive Bayes, dan Support Vector Machine (SVM). Hasil penelitian menunjukkan bahwa penghapusan stopwords menurunkan kinerja model, sehingga tetap menggunakan stopwords. Stemming dan lemmatization juga tidak memberikan pengaruh terhadap kinerja model, sedangkan spell correction dapat meningkatkan akurasi sekitar 2% tetapi dengan trade-off waktu komputasi yang tinggi. Pada tahap ekstraksi fitur, TF-IDF menghasilkan akurasi yang lebih tinggi dibandingkan Word Count. Algoritma Multinomial Naive Bayes menghasilkan akurasi sebesar 79,73% dengan AUC-ROC sebesar 0,85. Sedangkan SVM dengan kernel linear mendapatkan hasil terbaik dengan akurasi 82% dan AUC-ROC 0,88, lebih tinggi daripada RBF kernel yang hanya mencapai akurasi 77,79% dan AUC-ROC 0,82. Hasil penelitian ini dapat disimpulkan bahwa SVM dengan kernel linear lebih sesuai untuk klasifikasi teks berdimensi tinggi.
Validity of Chemistry Comic Learning Media on Reaction Rate Material Integrated with Islamic Values Marisa, Lutfiana; Muna, Khairiatul; Bahit, Muhammad
QUANTUM: Jurnal Inovasi Pendidikan Sains Vol 16, No 1 (2025): April 2025
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/quantum.v16i1.21012

Abstract

Reaction rate material requires an understanding of chemical multirepresentations, which is a challenge for students. Although digital comics are increasingly used in learning, research on the integration of Islamic values and multirepresentation in chemical comics is still limited. In addition, the use of Webtoon as a learning platform in science education is still rarely researched. The research aims to find out how the validity of chemical comic learning media on reaction rate materials that are integrated with Islamic values. The research method used is R&D with the ADDIE design model; validation was carried out by experts in media, material, and Islamic integration, with the scores obtained categorized into very valid, valid, invalid, and very invalid using quantitative descriptive analysis. Research with the ADDIE model goes through five stages, namely, Analysis, Design, Development, Implementation, and Evaluation. The validity results obtained a score of 89% for media validity, 84% for material validity, and 83% for integration validity with all categories very valid. The results of the study show that the developed comic media is proven to be very valid so that the developed media is suitable for further testing to the Implementation stage.