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All Journal JURNAL MUQODDIMAH : Jurnal Ilmu Sosial, Politik dan Hummaniora Aghniya: Jurnal Ekonomi Islam Jurnal Dinamika Informatika (JDI) Journal of Artificial Intelligence and Digital Business
Maulana, Muhammad Irvan
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Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Peranan E-Commerce dalam Transaksi Salam Salsabila, Siti Afifah; Maulana, Muhammad Irvan; Nasution, Siti Zahra Amelia Putri; Tyrta, Arya Wangsa; Aginta, Gadis; Siregar, Pani Akhiruddin
AGHNIYA : Jurnal Ekonomi Islam Vol 6, No 2 (2024): AGHNIYA: Jurnal Ekonomi Islam
Publisher : Faculty of Islamic Religion, Universitas Muhammadiyah Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/aghniya.v6i2.22038

Abstract

E-commerce has become one of the important innovations in facilitating the implementation of the salam contract, a sharia-based transaction in which payment is made in advance for goods to be delivered at a later date. With features such as pre-orders, digital payment systems, and logistics management, e-commerce platforms enable salam transactions to be carried out more transparently, efficiently, and in accordance with sharia principles. In addition, the wide market reach in e-commerce provides opportunities for business actors, especially MSMEs, to expand access to their products nationally and internationally. However, the implementation of the salam contract in e-commerce faces a number of challenges, such as late delivery of goods and the potential for unclear product specifications. To overcome this problem, the integration of technologies such as increased sharia supervision are important solutions. With further optimization, e-commerce can act as a catalyst in supporting the development of the sharia economy in the digital era. This study shows that e-commerce not only facilitates transactions, but also has the potential to strengthen trust and inclusivity in sharia-based trade.
Dinamika Politik Pemerintah Desa Adat Intaran Bali dalam Penanggulangan Pandemi Covid-19 Amalia, Revina Nanda; Maulana, Muhammad Irvan; Primatama, Muhammad Raihan
Jurnal Ilmiah Muqoddimah: Jurnal Ilmu Sosial, Politik dan Hummaniora Vol 7, No 1 (2023): Pebruari, 2023
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jim.v7i1.2023.17-25

Abstract

The COVID-19 pandemic has become an event that has had very significant impacts on humans in various aspects of life. The paradigm shift in social, political, and economic life forces people to adapt quickly because of it. In Indonesia itself, the economic paralysis is seen explicitly from various regions that rely on tourism as the center of their economy. Bali, for example, as one of the provinces in Indonesia that relies on tourism as a driving force for the community's economy, has made it the province most affected by the pandemic. Bali is a province that still firmly holds the nobility of adat as an inseparable part of people's lives. The nobility of Balinese customs is found in the uniqueness of the government system in which there are two differentiations of the village structure, namely the Traditional Village or Pakraman Village or Desa Adat and the Administrative Village. Traditional Villages in Bali have the autonomy to regulate their territory and govern their citizens. This autonomy can be seen in one of the existing traditional villages, namely the Desa Adat Intaran. At the beginning of the COVID-19 pandemic, the Desa Adat Intaran imposed customary regulations or pararem to prevent the increase in COVID-19 cases in the village. This pararem applies to villagers as well as outside villagers who want to visit the Desa Adat Intaran area. In this article, we will examine the political dynamics that occurred during the process of handling the COVID-19 pandemic, ranging from conflicts that occurred, power imbalances, community resilience, networks, to the psychology of rural communities related to the postcolonial adaptation process. The use of descriptive qualitative methods with the main data sources from interviews and observations and literature review as secondary data was chosen in this article. This article produces a research hypothesis that the dynamics of handling COVID-19 in the Desa Adat Intaran is a form of response to historical events, conflicts, and the identity of local wisdom that are integrated into one another. 
Rancang Bangun Sistem Informasi Peminjaman Inventaris dan Barang Sekolah Berbasis Web Wibowo, Amanda Rizky Putri; Aditama, Savana Putra; Wulandari, Fathia Bilqish; Maulana, Muhammad Irvan; Septiyanti, Nisa Dwi; Susanti, Martini Dwi Endah; Wibawa, Ramadhan Cakra
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.4533

Abstract

Pengelolaan peminjaman inventaris dan barang sekolah yang masih dilakukan secara manual berpotensi menimbulkan berbagai permasalahan, seperti ketidaktepatan pencatatan, keterlambatan pengembalian, serta kesulitan dalam memantau ketersediaan dan kondisi barang. Kondisi tersebut juga berdampak pada rendahnya akurasi data dan kurang optimalnya pengelolaan aset sekolah. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi peminjaman inventaris dan barang sekolah berbasis web yang mampu mengotomatisasi proses peminjaman, pengembalian, serta pemantauan stok secara terintegrasi dan real-time di SMK PGRI 2 Sidoarjo. Metode pengembangan sistem yang digunakan adalah model Waterfall, yang meliputi tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Perancangan sistem dilakukan menggunakan pemodelan UML, sedangkan implementasi sistem memanfaatkan teknologi web modern dengan arsitektur terpisah antara antarmuka pengguna, logika bisnis, dan basis data MySQL. Pengujian sistem dilakukan menggunakan metode Black Box Testing dengan 29 skenario uji yang mencakup fungsi autentikasi, pengelolaan data inventaris, transaksi peminjaman dan pengembalian, pengelolaan pengguna, serta pembuatan laporan. Hasil pengujian menunjukkan bahwa seluruh fungsi sistem berjalan sesuai dengan kebutuhan pengguna dan tidak ditemukan kesalahan fungsional utama. Sistem yang dikembangkan mampu meningkatkan efisiensi administrasi, akurasi data inventaris, serta transparansi proses peminjaman barang. Dengan demikian, sistem ini diharapkan dapat mendukung digitalisasi tata kelola sarana dan prasarana sekolah serta menjadi solusi efektif dalam pengelolaan inventaris berbasis teknologi informasi.
Komparasi Algoritma Naive Bayes dan Support Vector Machine pada Analisis Sentimen Komentar Instagram Laga El Clásico Barcelona vs Real Madrid Maulana, Muhammad Irvan; Savana Putra Aditama; Harun Al Rosyid
Jurnal Dinamika Informatika Vol. 15 No. 1 (2026): Vol. 15 No. 1 (2026)
Publisher : Program Studi Informatika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jdi.v15i1.432

Abstract

The rapid development of information and communication technology has driven social media to become a primary platform for users to express opinions on various events, including prestigious football matches such as El Clásico between Barcelona and Real Madrid. The high level of interaction among Instagram users generates a large volume of comments with unstructured text characteristics and diverse sentiments, making automatic sentiment analysis necessary to understand public opinion trends. This study aims to analyze the sentiment of Instagram user comments related to the El Clásico match by comparing the Naive Bayes and Support Vector Machine (SVM) algorithms. The dataset consists of 1,526 comments with an imbalanced sentiment class distribution. The research stages include text preprocessing, term weighting using Term Frequency–Inverse Document Frequency (TF-IDF), and sentiment classification. The experimental results show that the SVM algorithm outperforms Naive Bayes, achieving an accuracy of 62.88% and a weighted F1-score of 0.62, while Naive Bayes achieves an accuracy of 59.53% and a weighted F1-score of 0.52. These results indicate that SVM is more effective in handling high-dimensional data and imbalanced class distributions in social media sentiment analysis.
Co-Authors Aditama, Savana Putra Aginta, Gadis Amalia, Revina Nanda Harun Al Rosyid Nasution, Siti Zahra Amelia Putri Nisa Dwi Septiyanti Primatama, Muhammad Raihan Salsabila, Siti Afifah Savana Putra Aditama Siregar, Pani Akhiruddin Susanti, Martini Dwi Endah Tyrta, Arya Wangsa Wibawa, Ramadhan Cakra Wibowo, Amanda Rizky Putri Wulandari, Fathia Bilqish