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All Journal Nusantara Hasana Journal Jurnal Kolaboratif Sains Buletin Pengembangan Perangkat Pembelajaran
Bahar Amal
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Analisis Profit Margin, ROA, dan ROE dalam Mengukur Kinerja Keuangan PT Mustika Ratu (Periode 2021 – 2023): Analysis of Profit Margin, ROA, and ROE in Measuring the Financial Performance of PT Mustika Ratu (2021 – 2023 Period) Bahar Amal; Adinda Putri Nursalsabila; Ailsa Dea Almira; Dea Amanda; Dilla Amelia; Inna Ismatul Nabilla; Inne Febriyanti
Jurnal Kolaboratif Sains Vol. 7 No. 12: Desember 2024
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v7i12.6456

Abstract

Penelitian ini bertujuan untuk menganalisis kinerja keuangan PT Mustika Ratu Tbk dengan menggunakan indikator Net Profit Margin, Return On Asset dan Return On Equity. Data diperoleh dari Bursa Efek Indonesia dan menggunakan analisis Deskriptif, yang menjelaskan suatu keadaan pada objek penelitiaan dengan mengumpulkan data laporan keuangan dan teori yang berkaitan langsung dengan masalah penelitian. Hasil penelitian menunjukkan rasio Net Profit Margin belum cukup baik karena perusahaan mendapatkan sedikit laba dibandingkan penjualannya, rasio ROA dan ROE juga menunjukkan rasio yang belum cukup baik karena perusahaan belum optimal dalam menggunakan aset dan ekuitasnya dalam mencapai laba yang maksimal, sehingga pada tahun 2023 perusahaan ini mengalami kerugian.
Pemanfaatan Kecerdasan Buatan Untuk Meningkatkan Kreativitas Dan Literasi Dalam Pembelajaran Bahasa Indonesia Mahasiswa Semester 3 FKIP UNSIKA Laily Fitria; Rizky Amelia; Alya Safitri Astsaniah; Aulia Sapya; Muhammad Wildan Taftazani; Tata NurLaeily; Bahar Amal
Buletin Pengembangan Perangkat Pembelajaran Vol. 6 No. 2 (2024): Vol 6, No. 2, Desember 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/bppp.v6i2.7085

Abstract

This study aims to understand student opinions on the role of Artificial Intelligence (AI) in enhancing creativity and literacy in Indonesian language learning. This study involved 25 3rd semester students from the Faculty of Teacher Training and Education, Singaperbangsa University of Karawang, who provided their opinions through a questionnaire. This research method combines quantitative and qualitative approaches, so as to provide a broader and clearer picture. The results describe that most students support the use of AI in learning, especially to enrich vocabulary, stylistic variations, synonyms, and grammar. However, some students were concerned that excessive use of AI could reduce creativity, critical thingking skills and literacy. This research is expected to be a reference for educators in utilizing AI wisely, so that it can provide full benefits without eliminating the important role of lecturers in the teaching and learning process.
Menutup Kesenjangan Digital: Studi Kasus Meningkatkan Kehidupan Umkm di Kantin Pojok Kuliner Universitas Singaperbangsa Karawang Melalui Literasi Digital: Closing the Digital Gap: A Case Study Improving The Lives Of Msmes In The Culinary Corner Of Singaperbangsa Karawang University Through Digital Literacy Bahar Amal; Alyssa Nurshafa; Nur Kamilah; Puspita Ramadaniakir; Rivky Anandha Maryadii; Salma Miftahul Jannah
Jurnal Kolaboratif Sains Vol. 8 No. 1: Januari 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v8i1.6419

Abstract

Kesadaran penguasaan media pemasaran digital masih rendah di kalangan pengusaha mikro di wilayah UNSIKA. Hal ini tergambar dari banyaknya produk usaha kecil yang ada sehingga sulit bersaing dengan yang lain dalam media jual beli online. Oleh karena itu, literasi digital dipandang sebagai life skill yang perlu diajarkan kepada pelaku usaha mikro di wilayah UNSIKA agar produk yang ada mampu bersaing dengan produk lain di pasar digital.Pendidikan literasi digital bagi usaha kecil merupakan sebuah konsep tentang adopsi media pemasaran digital dan kemungkinankemungkinan bisnis yang dapat diwujudkan melalui media digital.Dukungan keterampilan digital diterima dengan baik oleh pemangku kepentingan usaha kecil. Selain itu, beberapa diskusi juga dilakukan mengenai pemasaran digital, inovasi produk, serta penentuan pasar yang tepat untuk produk dan media sosial yang digunakan.
MACHINE TO MACHINE (M2M) CONNECTIVITY BUSINESS FEASIBILITY ANALYSIS AND STRATEGY DEVELOPMENT CASE STUDY OF PT XYZ, A COMPANY IN INDONESIA, WITH SWOT ANALYSIS Safrian Andromeda; Bahar Amal; Ni Luh Bella Dwijaksara
Nusantara Hasana Journal Vol. 3 No. 8 (2023): Nusantara Hasana Journal, January 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v3i8.1099

Abstract

From 2016 to 2018, the number of new Very Small Aperture Terminal (VSAT) customers at PT XYZ declined. According to Safrian (2018), VSAT is included in quadrant two of the (Strength, Weakness, Opportunity, and Threat) SWOT diagram, so it requires diversification to create new opportunities and increase revenue. This research was conducted to analyze the feasibility of using M2M as a form of diversification. M2M was compared with VSAT using the Return on Investment (ROI) method and performance testing. Alternative M2M business strategies are also using the SWOT analysis. From the ROI results, M2M had 74%. M2M connectivity can provide more benefits with more efficient investment. From the performance test, M2M latency of 33ms is in the outstanding category, while VSAT of 596ms is in the poor category. The SWOT analysis found that the company entered quadrant one, with the strategy chosen being the SO strategy, which focuses on developing M2M technology.
Co-Authors Adinda Putri Nursalsabila Ailsa Dea Almira Alya Safitri Astsaniah Alyssa Nurshafa Aulia Sapya Dea Amanda Dilla Amelia Inna Ismatul Nabilla Inne Febriyanti Laily Fitria Muhammad Wildan Taftazani Ni Luh Bella Dwijaksara Nur Kamilah Puspita Ramadaniakir Rivky Anandha Maryadii Rizky Amelia Safrian Andromeda Salma Miftahul Jannah Tata NurLaeily