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Sistem Informasi Pengelolaan Kegiatan Masjid Raya Taqwa Palembang Berbasis Website Menggunakan Metode Agile Melani, Afreti; Ariati, Nining; Kholik, Abdul
Jurnal Ilmiah Informatika Global Vol. 16 No. 2: August 2025
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v16i2.5606

Abstract

In today’s digital era, technological advancements have brought significant changes across various aspects of life, including the management of places of worship. This study aims to develop a web-based information system for managing the activities of the Taqwa Grand Mosque in Palembang. The system is designed to address the challenges of manual record-keeping, which is prone to errors, lacks transparency, and faces difficulties in reporting mosque funds and activities.This research employs the Agile methodology, which involves iterative stages such as planning, design, implementation, testing, and continuous evaluation. The information system includes features for managing infaq, zakat, and qurban funds online, scheduling mosque activities, and ensuring transparent financial reporting. The expected outcome is the creation of an integrated system that simplifies the management of mosque funds and activities, provides easy access for worshippers to donate digitally, and delivers accurate financial reports. This system also supports real-time information management, enhances operational efficiency, and builds the trust of worshippers in mosque management. With the application of this technology, it is hoped that the management of the Taqwa Grand Mosque can become more transparent.
Workshop Penggunaan Aplikasi FunMath Berbasis Android Dalam Meningkatkan Minat Belajar Siswa Saluza, Imelda; Ariati, Nining; Astuti, Lastri Widya; Syachrul Haq, Muhammad Raka; Eko Nugroho, Muhammad Davidio
Jurnal Abdimas Mandiri Vol. 9 No. 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jam.v9i2.5564

Abstract

Berdasarkan hasil analisis permasalahan di SMA Negeri I Pemulutan, Sumatera Selatan, ditemukan kesenjangan antara ketersediaan fasilitas pembelajaran yang telah difasilitasi oleh pemerintah dengan pemanfaatan di lapangan. Meskipun sarana teknologi telah tersedia, namun dalam penerapannya pemanfaatan teknologi masih terbatas yang menyebabkan pembelajaran masih konvensional dan kurang menarik. Guru masih dominan menggunakan metode ceramah, sementara siswa kurang mendapatkan latihan soal yang memadai. Sehingga berdampak pada rendahnya pemahaman dan minta siswa terhadap matematika. Untuk mengatasi permasalahan tersebut, tim PkM mengembangkan aplikasi FunMath berbasis Android sebagai media pembelajaran matematika yang interaktif, menarik, dan mudah diakses. Pengembangan aplikasi dilakukan melalui tahapan: analisis kebutuhan, perancangan, pengembangan, pengujian internal, serta pelatihan kepada siswa. FunMath dilengkapi fitur materi interaktif, latihan soal adaptif, video penjelasan konsep, tips & trik penyelesaian soal, serta inovasi unggulan berupa robot bantu belajar yang mampu menjawab pertanyaan siswa, memberikan petunjuk langkah demi langkah, dan memberikan motivasi selama proses belajar. Hasil evaluasi menunjukkan bahwa 59% siswa mengalami peningkatan hasil belajar, 70% merasa lebih mudah memahami materi matematika, dan 86,34% menyatakan suasana belajar menjadi lebih inovatif dan menyenangkan sesuai prinsip Merdeka Belajar. Selain itu, 75,34% siswa menilai integrasi teknologi seperti FunMath sangat penting untuk memperkaya pengalaman belajar dan meningkatkan keberhasilan akademik.
Skin Store Information System Strategy Planning Mobile-Based Using the Ward And Peppard Method Ariati, Nining; Akbar, Muhamad Hafiz; Melani, Afreti; Agustina, Geby Ayu; Aflah, Aulia Nur; Anjani
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 1 No. 2 (2024): VOLUME 1, NO 2: DECEMBER 2024
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v1i2.52

Abstract

The development of the beauty and self-care industry in Indonesia is accelerating, driving the need to digitize business processes to improve competitiveness. Cahaya Store, a beauty product store in Palembang, faces challenges such as the threat of new entrants, manual sales recording, and lack of digital platforms for online purchases. This research aims to design a mobile-based information system strategy using the Ward and Peppard method. The research stages involved internal and external environment analysis, SWOT, McFarlan Strategic Grid, value chain, and Porter's Five Forces. The results showed that the development of mobile e-commerce applications can provide online shopping accessibility, business process automation, and improved customer experience. The information system strategy includes the integration of inventory and sales management systems to improve operational efficiency and strengthen digital marketing. With the Ward and Peppard approach, Cahaya Store can formulate data-driven strategic steps to optimize information technology to support business growth and competitiveness. Research recommendations include the implementation of mobile applications with personalization features, customer relationship management, and continuous evaluation to maintain relevance to market dynamics.
Perancangan Aplikasi E-Revit Untuk Monitoring Dan Pelaporan Pada Dinas Pendidikan Kota Palembang Ariati, Nining; Yunus, Muhammad; Ratnasari, Kintan; Nopriansyah, Muhammad; Siswanti, Wenny; Sanawi, M Fakhri
Jurnal Janitra Informatika dan Sistem Informasi Vol. 5 No. 2 (2025): Oktober - Jurnal Janitra Informatika dan Sistem Informasi
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/fdykev78

Abstract

Penelitian ini bertujuan untuk merancang dan mengembangkan sistem pelaporan dan pemantauan revitalisasi bangunan sekolah berbasis digital guna meningkatkan efisiensi dan transparansi dalam pengelolaan infrastruktur pendidikan di Kota Palembang. Metode penelitian yang digunakan meliputi observasi, wawancara, dan studi dokumentasi untuk mengidentifikasi kebutuhan sistem, serta metode perancangan perangkat lunak model Waterfall yang mencakup tahapan analisis kebutuhan, perancangan, implementasi, pengujian, dan evaluasi. Teknik analisis dilakukan dengan membandingkan efektivitas sistem manual dan sistem digital yang dihasilkan. Hasil penelitian menunjukkan bahwa aplikasi E-Revit mampu mempercepat proses pelaporan dan pemantauan proyek revitalisasi, meminimalisir kesalahan input data, serta meningkatkan akurasi dan kemudahan dalam pengawasan proyek oleh Dinas Pendidikan. Dengan demikian, penerapan sistem ini dapat mendukung proses digitalisasi dan memperkuat akuntabilitas dalam pelaksanaan program revitalisasi bangunan sekolah di Kota Palembang.
Cryptocurrency Exchange Selection Decision Support System Using Preference Selection Index Prasetyo, Dwi; Ariati, Nining; Lubis, Harmoko; Akbar, Aswin
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 1 No. 1 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v1i1.148

Abstract

Cryptocurrency trading is a very popular business of buying and selling digital money today. Many investors trade cryptocurrency assets through cryptocurrency exchange platforms in the hope of getting a large profit difference. However, the cryptocurrency trading business is not always favourable for investors as choosing the wrong cryptocurrency exchange can result in huge losses from the trades made. Based on these problems, it is necessary to have a decision support system for selecting the most relevant cryptocurrency exchange to be used as a cryptocurrency trading platform that can increase the chances of investors making profits. The decision support system method used in this research is Preference Selection Index (PSI). The results of the selection of cryptocurrency exchanges using the Preference Selection Index (PSI) method in this study recommend Indodax as the most relevant cryptocurrency exchange used by investors to gain profits in running a cryptocurrency trading business because it gets the highest value (0.893662729) compared to 4 other alternatives.
Company Profile Kantor Camat Talang Kelapa Kabupaten Banyuasin Fadillah, Ridho Akbar; Ariati, Nining; Dhamayanti, Dhamayanti
Jurnal Nasional Ilmu Komputer Vol. 5 No. 2 (2024): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v5i2.1772

Abstract

A company profile website is a website that displays information about the company's background, products or services, contact information, and brief news about the company. The Talang Kelapa Sub-District Office already has a website to convey information. Still, no administrative services can be done online on the website, so the community must come directly to the Talang Kelapa sub-district office to carry out administrative services. Due to the lack of information, many people need to learn about the Service Information and Profile of the Talang Kelapa Sub-District Office. With this situation, the researcher is interested in compiling this research activity by taking the title "Company Profile of the Talang Kelapa District Office, Banyuasin Regency." It is hoped that the Information System will make it easier for people to get information about the profile of the Talang Kelapa District Office. Using the PHP programming language and MySQL database. The software development method used in this research is the prototype method. System testing will be carried out using the black box testing method.
Sistem Informasi Reminder Pasien Penyakit Kronis dan Imunisasi Menggunakan WhatsApp Gateway: Chronic Disease and Vaccination Reminder System With WhatsApp Gateway Ariati, Nining; Coyanda, John Roni; Antony, Fery
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 1 (2024): MALCOM January 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i1.1051

Abstract

Program Imunisasi dan program pengelolaan penyakit kronis (prolanis) merupakan salah satu bentuk pelayanan kesehatan yang diberikan oleh Puskesmas dengan tujuan untuk meningkatkan kesehatan masyarakat. Keterlambatan imunisasi dan pemeriksaan penyakit kronis akibat kelalaian orang tua dan pasien merupakan salah satu penyebab timbulnya penyakit pada bayi baru lahir dan komplikasi pada penderita penyakit kronis yang menyebabkan kondisi kesehatan menurun. Dengan tujuan untuk meningkatkan kinerja Puskesmas dan mendorong kemandirian pola hidup sehat bagi individu, keluarga, kelompok dan masyarakat terkait dengan imunisasi dan penyakit kronis, maka Puskesmas selalu berusaha meningkatkan pelayanan kesehatan khususnya dengan memanfaatkan teknologi informasi di bidang medis berupa pengembangan aplikasi pengingat jadwal imunisasi bagi orang tua bayi dan pasien penyakit kronis berbasis WhatsApp (WA). Diharapkan aplikasi ini dapat membantu puskesmas dalam meningkatkan pelayanan kesehatan dan orang tua bayi untuk melakukan imunisasi pada anak dengan tujuan mencegah terjadinya penyakit pada bayi serta pasien kronis untuk memeriksakan kesehatannya tepat waktu untuk mencegah terjadinya komplikasi, sehingga tingkat kesehatan masyarakat terus membaik.
Feature Extraction vs Fine-tuning for Cyber Intrusion Detection Model Sanmorino, Ahmad; Suryati, Suryati; Gustriansyah, Rendra; Puspasari, Shinta; Ariati, Nining
JURNAL INFOTEL Vol 16 No 2 (2024): May 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i2.996

Abstract

This study investigates the effectiveness of feature extraction and fine-tuning approaches in developing robust cyber intrusion detection models using the Network-based Security Lab - KDD dataset (NSL-KDD). The role of cyber intrusion detection is pivotal in securing computer networks from unauthorized access and malicious activities. Feature extraction, involving methods such as PCA, LDA, and Autoencoders, aims to transform raw data into informative representations, while fine-tuning leverages pre-trained models for task-specific adaptation. The study follows a comprehensive research method encompassing data collection, preprocessing, model development, and experimental evaluation. Results indicate that LDA and Autoencoders excel in the feature extraction phase, demonstrating precision, high accuracy, F1-Score, and recall. However, fine-tuning a pre-trained Multilayer Perceptron model surpasses individual feature extraction methods, achieving superior performance across all metrics. The discussion emphasizes the complexity and flexibility of these approaches, with fine-tuned models showcasing higher adaptability. In conclusion, this study provides valuable insights into the comparative effectiveness of feature extraction and fine-tuning for cyber intrusion detection. The findings underscore the importance of leveraging pre-trained knowledge and adapting models to specific tasks, offering a foundation for further advancements in enhancing network security through advanced machine learning techniques.