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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Abdimas Maduma Jurnal Sains Farmasi dan Kesehatan
Tiara Maulida
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Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Education Medicine & Pharmacology Neuroscience Nursing Physics Public Health Veterinary

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Formulasi Dan Evaluasi Sedian Tablet Dengan Metode Kempa Langsung Aura Nasyafa; Novita Indira Sari; Lili Sa’adah; Nur Asyifa Ramadhanti; Tiara Maulida
Jurnal Sains Farmasi Dan Kesehatan Vol. 2 No. 2 (2024): September - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62379/jfkes.v2i2.1790

Abstract

The objective of this research is to study the formulation and evaluation of tablet preparations using the direct compression method. The method used in this research is a Systematic Literature Review. The findings of the study explain that the direct compression method is an efficient and economical technique in tablet production, especially in the pharmaceutical industry. With the advancement of technology, this method is increasingly used to produce tablets directly from a mixture of active ingredients and excipients without going through granulation processes, whether wet or dry. This process allows for time and cost savings in production, as well as reducing the use of machinery and labor. The main advantage of direct compression is its ability to produce tablets with better disintegration and dissolution times, especially for active ingredients sensitive to heat and moisture. The selection of the appropriate fillers and binders, such as modified starch, pregelatinized potato starch, and Avicel, significantly impacts the physical quality of the tablets, including hardness, friability, and flowability. Furthermore, the research results show that the correct formulation, both in terms of the composition of excipients and the concentration of binders, can improve the physical properties of the tablets and meet the desired quality standards. Therefore, while the direct compression method offers many advantages, it is important to continue exploring and optimizing formulations, both in terms of excipient selection and mixing ratios, to achieve tablets with the best quality that meet pharmaceutical needs and are accepted by consumers.
Penerapan Teknologi Digital Untuk Optimalisasi Biaya Produksi dan Manajemen Keuangan Pada UMKM Tambol Dapok Punggur Ardiyansyah; Nurfia Oktaviani Syamsiah; Windi Irmayani; Muhammad Nandi Buchari; Muhammad Alghifary; Aldiansyah; Mutia Rahayu; Tiara Maulida
JURNAL ABDIMAS MADUMA Vol. 4 No. 3 (2025): Oktober, 2025
Publisher : English Lecturers and Teachers Association (ELTA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/jam.v4i3.521

Abstract

Program Pengabdian kepada Masyarakat ini dilaksanakan untuk meningkatkan kapasitas dan daya saing UMKM Tambol Dapok di Desa Punggur Kecil, Kecamatan Sungai Kakap, Kabupaten Kubu Raya. Permasalahan yang dihadapi mitra meliputi aspek manajemen, aspek produksi, serta belum optimalnya pencatatan biaya produksi dan manajemen keuangan. Kegiatan dilakukan dengan pendekatan partisipatif melalui tahapan analisis situasi, persiapan teknologi tepat guna, pelatihan dan pendampingan, serta monitoring dan evaluasi. Hasil kegiatan menunjukkan adanya peningkatan kapasitas mitra, ditandai dengan tersedianya aplikasi berbasis website untuk menghitung biaya produksi dan manajemen keuangan, desain kemasan baru menggunakan aplikasi Canva, akun Instagram resmi sebagai media promosi digital, serta peningkatan pengetahuan mitra dalam manajemen usaha. Dengan capaian ini, UMKM Tambol Dapok mulai mampu membangun identitas merek, memperluas pasar, dan lebih adaptif terhadap perkembangan teknologi digital. Secara praktis, mitra dapat mengelola usaha secara lebih efisien melalui pencatatan biaya produksi yang terstruktur, meningkatkan daya tarik produk melalui kemasan yang lebih profesional, serta memperluas jangkauan pemasaran dengan memanfaatkan media sosial. Selain itu, penerapan teknologi digital juga membuka peluang bagi UMKM untuk meningkatkan daya saing di pasar lokal maupun regional, sekaligus menjadi model pemberdayaan yang dapat direplikasi pada UMKM lain dengan permasalahan serupa. Kata Kunci : UMKM; Pemberdayaan Masyarakat; Manajemen Usaha; Digital Marketing; Teknologi Tepat Guna
Streamlit Based Network Intrusion Detection System Prototype with Machine Learning Algorithm Tiara Maulida; Muhammad Nandi Buchari; Teofilus Tirta Jumata; Putra Pratama Syahrival; Ali Mustopa
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1950

Abstract

Computer network security has become a crucial elemen in the digital era, with the increasing risk of attacks that could potentially disrupt systems and access critical data. An Intrusion Detection System (IDS) powered by Machine Learning is one effective way to automatically detect suspicious network activity. This study aims to create a prototype of a network Intrusion Detection System using Streamlit that applies Machine Learning algorithms, including Naïve Bayes and Random Forest, to classify normal network activity as an attack. The method used in this study is a quantitative approach with an experimental design utilizing a public dataset of labeled network traffic. The research process includes the stages of initial data processing, feature selection, model creation, performance evaluation, and implementation of the Streamlit interface. Test results show that the Naïve Bayes algorithm has the best performance, with an accuracy level reaching 0.8000, an error rate of 0.2000, and an F1 Score of 0.7273. Random Forest recorded an accuracy level of 0.7333, an error rate of 0.2667, and a lower F1 Score of 0.3333. These findings demonstrate that Naïve Bayes is more effective at detecting intrusions and recognizing anomalous network traffic patterns. The Streamlit based system implementation successfully provides an interactive and userfriendly interface, allowing users to perform analysis and understand classification result without in-depth technical expertise. Given the foregoing, the network intrusion detection system prototype built with Streamlit and a Machine Learning algorithm is considered suitable as a simple, informative, interactive, and efficient network security support tool. This research paves the way for future developments, such as the implementation of Deep Learning models and the integration of live network monitoring.
Co-Authors Aldiansyah Ali Mustopa, Ali Ardiyansyah Aura Nasyafa Lili Sa’adah Muhammad Alghifary Muhammad Nandi Buchari Mutia Rahayu Novita Indira Sari Nur Asyifa Ramadhanti Nurfia Oktaviani Syamsiah Putra Pratama Syahrival Teofilus Tirta Jumata Windi Irmayani