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Mutiara, Suci
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Rancang Bangun Aplikasi E-Disucission Darmajaya Berbasis Mobile Mutiara, Suci; Saleh, Sushanty; Arnande, Muhammad Fivo
TEKNIKA Vol. 19 No. 1 (2025): Teknika Januari 2025
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14115490

Abstract

arguments to strengthen their views. In lectures, lecturers use the discussion method as a medium for interaction between students and also to train their mindset, by presenting new cases that they have never encountered. Therefore, an online discussion platform is needed, namely the E-Discussion Application. This application is designed to make it easier for students to discuss online more efficiently and effectively, as well as being a means of discussion and sharing information in the IIB Darmajaya campus environment. The development of the E-Discussion Application was carried out using the waterfall method with the Golang, ReactJS, and Flutter programming languages. The application design uses the UML (Unified Modeling Language) model, which consists of use case diagrams, activity diagrams, and class diagrams. Testing of the application was carried out using the Black-Box Testing method, which showed that the features in the application functioned well and could be run on various devices optimally. The results of the study showed that the E-Discussion Application was able to facilitate students in conducting online discussions more easily.
PELATIHAN PENCACATAN KEUANGAN DAN PENERAPAN SOFTWARE POINT OF SALE (POS) PADA UMKM JAMUR MERANG KECAMATAN METRO SELATAN, KOTA METRO Wibaselppa, Anggawidia; Mutiara, Suci; Zulanda, Reisa Dyasvaro; Nurlistiani, Rini
Jurnal Publika Pengabdian Masyarakat Vol 6, No 2 (2024): Jurnal Publika Pengabdian Masyarakat
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/jppm.v6i2.4069

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) sering menghadapi tantangan dalam pengelolaan keuangan, terutama dalam pencatatan laporan keuangan yang terstruktur. Hal ini dapat berdampak pada kurang optimalnya evaluasi kinerja usaha serta pengambilan keputusan bisnis. Pelatihan ini bertujuan untuk meningkatkan kemampuan pelaku UMKM Jamur Merang Mas Gagas di Kelurahan Sumbersari Bantul, Kecamatan Metro Selatan, Kota Metro, dalam melakukan pencatatan laporan keuangan sederhana berbasis Microsoft Excel dan menerapkan software Point of Sale (POS). Kegiatan pelatihan meliputi pengenalan konsep pencatatan keuangan sederhana, penggunaan fitur Microsoft Excel untuk membuat laporan keuangan, serta implementasi software POS dalam mendukung aktivitas penjualan dan manajemen inventaris. Pelatihan dilakukan dengan metode partisipatif, termasuk sesi teori, praktik langsung, dan diskusi interaktif. Hasil dari pelatihan ini menunjukkan peningkatan pemahaman dan keterampilan peserta dalam menyusun laporan keuangan yang terstruktur, serta efisiensi dalam proses pencatatan transaksi penjualan menggunakan software POS. Diharapkan, penerapan hasil pelatihan ini dapat membantu UMKM Jamur Merang meningkatkan transparansi keuangan, mempermudah pengambilan keputusan, dan mendukung pertumbuhan usaha secara berkelanjutan.
Acceptance for a booster dose of COVID-19 vaccine in Indonesia: A follow-up study Harapan, Harapan; Maelani, Imelda; Anwar, Samsul; Latief, Kamaluddin; Mellinia, Sania A.; Nanda, Cut M.; Nainu, Firzan; Nirwana, Aura; Aksa, Rahmad; Sarifuddin, Sarifuddin; Astri, Yesi; Fathima, Raisha; Nalapraya, Widhy Y.; Ikram, Ikram; Mutiara, Suci; Syahraini, Aigia; Mudatsir, Mudatsir
Narra J Vol. 5 No. 1 (2025): April 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i1.803

Abstract

The coronavirus disease 2019 (COVID-19) vaccination program in Indonesia has been implemented as a key strategy to mitigate the spread of the virus within communities. The success of this program depends on public acceptance of COVID-19 vaccines, including booster doses. The aim of this study was to assess the acceptance of the COVID-19 booster dose in Indonesia and to identify factors influencing individuals' acceptance. A cross-sectional study was conducted across 34 provinces in Indonesia on June 2023. Logistic regression analysis was used to identify the factors associated with booster dose uptake. The findings revealed that 88.8% (2,049/2,308) of respondents were willing to receive a booster dose if provided free of charge by the Indonesian government. However, acceptance decreased to 61.7% when respondents were informed of a 20% likelihood of side effects, even with a reported 95% vaccine efficacy. Adjusted logistic regression analysis identified ten significant factors associated with booster dose acceptance: sex, age, religion, history of previous COVID-19 infection, type of primary vaccine received, belief in vaccine-related conspiracy theories, trust in traditional medicine conspiracies, confidence in natural immunity, perceived vaccine efficacy, and perceived vaccine effectiveness. These findings suggest that acceptance of COVID-19 booster doses in Indonesia is influenced by intrinsic and extrinsic factors, including limited knowledge of booster dose benefits and concerns about potential side effects. To enhance public acceptance, targeted health campaigns and educational initiatives should be intensified, emphasizing the safety, efficacy, and importance of booster vaccinations in controlling the COVID-19 pandemic.
Pendampingan Pengembangan UMKM Kripik Singkong di Desa Kerapuh Dolok Masihul Nst, Ummiyatul Tazkia Rodina; Karlina, Azrin Widya; Putri, Dea Nirwanda; Ahmad, Fadila; Malahayati, Malahayati; M Alfaruqi; Mutiara, Suci; Hasibuan , Dahlia; Mayani, Nurhikma; Wijaya, Salsabila Putri; Malik, Abdul; Gami, Amelia Ramadany Putri
Jurnal Bakti Nusantara Vol. 1 No. 1 (2023): Jurnal Bakti Nusantara
Publisher : Pustaka Media Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63763/jbn.v1i1.19

Abstract

Salah satu potensi yang dapat dikembangkan di Desa Kerapuh Kecamatan Dolok Masihul Kabupaten Serdang Bedagai adalah sektor industri UMKM (Usaha Mikro Kecil dan Menengah). Salah satu UMKM (Usaha Mikro, Kecil dan Menengah) yang ada di Desa Kerapuh Kecamatan Dolok Masihul Kabupaten Serdang Bedagai merupakan UMKM yang memproduksi keripik Singkong, khususnya UMKM Keripik Ibuk Luis Singkong. UMKM merupakan usaha kecil yang bergerak di bidang industri makanan ringan yang menghasilkan produk berkualitas tinggi, salah satunya keripik singkong. Sistem pemasaran yang digunakan masih berupa sistem pengiriman door to door, yang mana pemasaran produk UKM Ibuk Luis singkong selalu diantar ke kios-kios yang ada di toko maupun di pasar dan wilayah penjualannya hanya mencakup wilayah seluas 1.000 meter persegi. Subwilayah Dolok Masihul. Banyak penduduk setempat membeli keripik singkong langsung dari fasilitas produksi Ibu Luis. Kegiatan Pengabdian dengan desain deskriptif paling sederhana terdiri dari pertanyaan yang menanyakan topik tertentu seperti kepentingan, proses, distribusi, bentuk, dll. Pendekatan yang digunakan adalah pendekatan kualitatif yang berupaya memahami fenomena dari sudut pandang atau sudut pandang beberapa peserta. . Partisipan adalah orang-orang yang diajak mewawancarai, mengamati, dan memberikan data berdasarkan persepsinya.
Evaluasi Kinerja Model Deep Learning dalam Memprediksi Kejadian Hujan Di Wilayah Panjang Bandar Lampung Tarjono; Triloka, Joko; Mutiara, Suci
Jurnal Informatika Vol 25 No 1 (2025): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/jurnalinformatika.v25i1

Abstract

Global warming and climate change have increased the frequency and intensity of extreme weather events, significantly impacting human life and the environment. Urban areas such as Kecamatan Panjang in Bandar Lampung City frequently experience flooding due to extreme rainfall and poor drainage systems. This study compares the effectiveness of three deep learning model architectures- Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Transformers — in predicting rainfall events in Kecamatan Panjang. The data used includes key meteorological variables such as air temperature, dew point, humidity, and air pressure, collected from the Maritime Meteorology Station in Panjang (BMKG) over the past three years. The models were trained using this historical data, with the data divided into training and testing sets. The study results indicate that the Transformer model performs best with the highest accuracy compared to CNN and RNN. The Transformer model efficiently captures long-term dependencies in sequential data, providing more accurate and timely predictions. Model performance evaluation was conducted using accuracy, F1 score, precision, recall, ROC AUC, RMSE, and MAE metrics. The use of deep learning models in rainfall prediction is expected to assist in flood risk mitigation and planning for adaptation to increasingly frequent extreme weather due to climate change. This research significantly advances more accurate and efficient weather prediction systems for urban areas prone to hydrological disasters.
Pendataan Laporan PKPM dan KP Mahasiswa Berbasis Web Mobile Vernando, Rifan; Mutiara, Suci
TEKNIKA Vol. 18 No. 1 (2024): Teknika Januari - Juni 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.11109915

Abstract

Praktik Kerja Dan Pengabdian Masyarakat (PKPM) dan kuliah praktik (KP), sebuah program pendidikan yang diberikan oleh perguruan tinggi Institut Informatika Dan Bisnis Darmajaya. Lembaga penelitian dan pengabdian kepada masyarakat (LPPM) adalah Lembaga pengumpulan dan arsip laporan PKPM dan KP merupakan institusi yang bertanggung jawab untuk mengumpulkan, menyimpan, dan memelihara laporan-laporan tersebut sebagai arsip. LPPM Darmajaya seringkali menghadapi permasalahan dikala pengumpulan laporan PKPM setiap periode karena tidak ada sistem yang dapat digunakan mahasiswa untuk pengumpulan laporan. Metode pengembangan perangkat lunak yang digunakan dalam sistem ini adalah metode Prototype. Dimana tahapan Prototype terdiri dari komunikasi, perencanaan, representasi, konstruksi yang disertai pengujian perangkat lunak menggunakan teknik pengujian Black Box Testing disebut juga pengujian perilaku yang mana pengujian ini berfokus pada persyaratan fungsional perangkat lunak. Web mobile ini dapat membantu Lembaga penelitian dan pengabdian kepada masyarakat (LPPM) IIB Darmajaya dalam pengelolaan laporan. Web mobile ini dapat membantu mahasiswa IIB Darmajaya dalam pengumpulan laporan.
Co-Authors Abdul Malik Ahmad, Fadila Aksa, Rahmad Arnande, Muhammad Fivo Fathima, Raisha Firzan Nainu Gami, Amelia Ramadany Putri Harapan Harapan Hasibuan , Dahlia Ikram Ikram Karlina, Azrin Widya Latief, Kamaluddin M Alfaruqi Maelani, Imelda Malahayati Malahayati Mayani, Nurhikma Mellinia, Sania A. Mudatsir Mudatsir Nalapraya, Widhy Y. Nanda, Cut M. Nirwana, Aura Nst, Ummiyatul Tazkia Rodina Nurlistiani, Rini Putri, Dea Nirwanda Samsul Anwar Sarifuddin Sarifuddin Sushanty Saleh Syahraini, Aigia Tarjono Triloka, Joko Vernando, Rifan Wibaselppa, Anggawidia Wijaya, Salsabila Putri Yesi Astri Zulanda, Reisa Dyasvaro