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All Journal Jupiter Syntax Jurnal Informatika Jurnal Algoritma Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Aisyah Journal of Informatics and Electrical Engineering Journal of Information Systems and Informatics Abdimas Universal Yumary: Jurnal Pengabdian kepada Masyarakat Jurnal Abdimas Bina Bangsa Jurnal Algoritma Jurnal Sistem Informasi dan Teknologi (SINTEK) IJOEM: Indonesian Journal of Elearning and Multimedia Carmin: Journal of Community Service LogicLink: Journal of Artificial Intelligence and Multimedia in Informatics Jurnal Rekayasa Perangkat Lunak
Ratnasari Ratnasari
Departemen Rekayasa Perangkat Lunak, Fakultas Teknologi Dan Informatika Universitas Aisyah Pringsewu, Lampung - Indonesia
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Peracangan Basis Data Penjualan Barang pada Distributor Sistem Proteksi Petir Ratnasari; Bintoro, Panji; Eko Setiawan, Agustinus
Jurnal Rekayasa Perangkat Lunak Vol. 1 No. 1 (2022): Jurnal Rekayasa Perangkat Lunak (J-Rapa)
Publisher : Universitas Aisyah Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30604/j-rapa.v1i1.743

Abstract

Penjualan barang merupakan proses yang sangat berpengaruh pada tumbuh kembang bisnis perusahaan. PT Interproma Indocom adalah perusahaan yang bergerak dibidang pendistribusian barang berupa alat penangkal petir. Pengelolaan data kususnya penjualan barang masih menggunakan pendekatan berbasis file(file-based approach). Dengan pendekatan ini, terdapat beberapa masalah yang dihadapi, yaitu data menjadi tersebar dan terisolasi sehingga sulit mencari dan mengontrol data, duplikasi data sehingga banyak data yang sama dan tidak tahu mana data yang akan dipakai, dan data tidak sesuai dengan keadaan yang sebenarnya. Pada penelitian ini penulis membuat perancangan basis data dengan model Entity reationship Diagram dan Normalisasi. Tujuan dari dari penelitian ini adalah untuk merancang struktur basis data yang terintergrasi dan sesuai dengan kebutuhan pengguna sehingga memudahkan dalam mengontrol dan mengelola data. Dari penelitian ini dihasilkan rancangan basis data yang dapat menjadi input pada sistem infromasi penjualan.
Penerapan Principal Component Analysis Dan Random Forest Untuk Pengenalan Ekspresi Wajah Bintoro, Panji; Ratnasari, Ratnasari; Widiandana, Panggah
Jurnal Rekayasa Perangkat Lunak Vol. 2 No. 1 (2023): Jurnal Rekayasa Perangkat Lunak (J-Rapa)
Publisher : Universitas Aisyah Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30604/j-rapa.v2i1.1116

Abstract

Ekspresi wajah adalah bentuk pikiran yang merasuki orang, seperti kasih sayang yang diungkapkan dengan senyuman, dan cemberut adalah ekspresi sedih. Ini tentu saja mudah dikenali oleh manusia, tetapi tidak mudah untuk komputer. RF adalah metode klasifikasi yang mengandalkan hasil dan teori pembelajaran statistic untuk menjamin kinerja generalisasi. Pada penelitian ini terdapat 3 proses utama yaitu preprocessing, pengenalan, dan klasifikasi. Terdapat 7 kelas ekspresi wajah yang diklasifikasi yaitu ekspresi marah, netral, jijik, takut, senang, sedih, dan terkejut. Penelitian ini mengusulkan algoritma PCA untuk ekstraksi ciri dan algoritma RF pada pengujian, klasifikasi, dan pengenalan. Berdasarkan hasil pengujian dapat disimpulkan bahwa penggabungan algoritma PCA dan RF dapat melakukan klasifikasi ekspresi wajah manusia dengan baik dengan nilai akurasi saat pengujian 91,37% dan akurasi klasifikasi 91%. Hasil tersebut membuat algoritma RF cocok digunakan pada klasifikasi ekspresi wajah.
Sistem Informasi Arsip Data Karyawan pada Klink AAA Menggunkan Framework Laravel Ubaidillah, Ilham; Isti Fada, Nurul; Wahyuni, Nuci; Silvyana, Dety; Ahlun Nazar, Ahmad; Ratnasari
Jurnal Rekayasa Perangkat Lunak Vol. 2 No. 1 (2023): Jurnal Rekayasa Perangkat Lunak (J-Rapa)
Publisher : Universitas Aisyah Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30604/j-rapa.v2i1.1117

Abstract

Kemajuan di bidang teknologi, komputer, dan telekomunikasi mendukung perkembangan teknologi internet. Dengan internet pelaku bisnis tidak lagi mengalami kesulitan dalam memperoleh informasi apapun, untuk menunjang aktivitas bisnisnya. saat ini Klinik AAA menyimpan arsip data karyawan dilakukan secara manual dengan menggunakan Microsoft Word yang dimana cara tersebut memungkinkan data para karyawan lebih rentan hilang. Tahapan Metode pengembangan sistem yang digunakan dalam penelitian ini adalah web engineering (rekayasa web) dan menggunakan framework laravel. Framework Laravel menggunakan struktur MVC (Model View Controller). MVC merupakan model aplikasi yang memisahkan antara data dan tampilan berdasarkan komponen aplikasi. Dengan adanya model MVC, pengguna Laravel menjadi lebih mudah dalam mempelajari Laravel. Serta menjadikan proses pembuatan aplikasi berbasis website menjadi lebih cepat. Dari hasil penelitian Sistem Informasi Arsip Data Karyawan pada Klink AAA ini penginputan data menjadi lebih efisien dan langsung tersimpan ke database. Sistem ini juga dapat menampilkan data karyawan dan mengexsport data karyawan dengan lebih mudah
Agile-Scrum Methodology for Hospital Information System Development Zulkifli, Zulkifli; Ratnasari, Ratnasari; Arifin, Yulyani; Habib, Cahya
Journal of Information System and Informatics Vol 7 No 2 (2025): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i2.1148

Abstract

Hospitals face significant challenges in managing large and complex data, and Hospital Information Systems (SIRS) are essential for supporting hospital operations. However, many SIRS projects experience delays and failures due to rigid development approaches. Agile-Scrum is proposed as a more flexible and adaptive solution, emphasizing collaboration and iterative processes to enhance the quality of healthcare services. This qualitative case study, conducted in a hospital with an internal development team, used observations, document analysis, and semi-structured interviews with 10 participants, including developers, a Scrum Master, and key hospital stakeholders. The findings indicate that implementing Agile-Scrum led to a 35% increase in team collaboration, a 40% improvement in responsiveness to changing requirements, and a 30% boost in overall project efficiency. The study highlights the effectiveness of Agile-Scrum in managing the complexities of SIRS development, especially through backlog organization, sprint planning, and stakeholder feedback. The study suggests further research to assess the long-term impact of Agile-Scrum in other information system development contexts.
CLOUD-BASED HEALTHCARE: INOVASI SISTEM INFORMASI MOBILE DENGAN FIREBASE SEBAGAI CLOUD DATABASE Syaputra, Andhika; Ratnasari, Ratnasari
Jurnal Rekayasa Perangkat Lunak Vol. 4 No. 1 (2025): Jurnal Rekayasa Perangkat Lunak (J-Rapa)
Publisher : Universitas Aisyah Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of information technology has driven the transformation of information systems in various sectors, including the health sector. One technology that is now widely used is Cloud Database, which allows online data storage and management without the need for physical storage media. This study discusses the application of Cloud Database using Firebase services in the development of a mobile-based Health Center Information System. The purpose of this study is to produce an information system that can improve the efficiency of services in the Health Center, especially in supporting recording, reporting, and service activities to the community more quickly and accurately. The method used in this study is Extreme Programming (XP) which emphasizes communication, feedback, and iterative software development. This study also uses the Unified Modeling Language (UML) approach for system modeling. The results of the study indicate that the use of Firebase as a Backend as a Service (BaaS) is effective in providing stable, secure, and easily integrated real-time database services with mobile applications. The system built is expected to be an alternative solution in the development of cloud-based health information systems in the future.
Komparasi Penerapan Adaboost Pada K-NN Dan Decision Tree Untuk Prediksi Penyakit Hati Mukaromah, Hafsah; Ratnasari, Ratnasari
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 17 No 2 (2025): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The liver is a vital human organ that plays a crucial role in detoxification, cholesterol regulation, and various metabolic activities within the body. Impairment of liver function can lead to several diseases such as hepatitis, liver cancer, cirrhosis, and other liver-related conditions. In Indonesia, approximately 0.6% of the population is identified as having hepatitis, despite the implementation of the HB 0–4 immunization program by the Ministry of Health. Liver disease is a common public health issue, with WHO data reporting an annual death toll of 1.2 million people due to liver-related illnesses in Southeast Asia and Africa. The importance of early detection of liver disease symptoms highlights the need for a predictive system capable of accurately identifying individuals at risk. This study employs a machine learning approach using K-Nearest Neighbor (K-NN) and Decision Tree classification algorithms, enhanced by the application of the Adaboost ensemble learning technique to optimize their performance. Evaluation results show that Adaboost improves the accuracy of the K-NN algorithm to 95.77% and the accuracy of the Decision Tree to 100%. Although the improvement in K-NN is quite significant, Adaboost does not have a substantial impact on the accuracy of the Decision Tree. This research indicates that the Adaboost method is effective in enhancing the classification performance for liver disease, particularly when applied to the K-NN algorithm.
Sistem Pakar Diagnosa Penyakit Gigi Menggunakan Metode Naïve Bayes Berbasis Web Ardian, Odi; Ratnasari; Pasaribu, Alfredo; Eko Setiawan, Agustinus
Jurnal Sistem Informasi dan Teknologi Vol 5 No 2 (2025): Jurnal Sistem Informasi dan Teknologi (SINTEK)
Publisher : LPPM STMIK KUWERA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56995/sintek.v5i2.125

Abstract

 Penelitian ini mengembangkan sistem pakar untuk mendiagnosis penyakit gigi menggunakan metode Naïve Bayes berbasis web. Sistem ini bertujuan untuk membantu pasien dalam mengidentifikasi gejala awal penyakit gigi, sehingga mereka dapat melakukan penanganan awal secara mandiri. Metode Naïve Bayes dipilih karena kemampuannya dalam mengolah data probabilistik dengan hasil yang akurat. Data dikumpulkan melalui wawancara dengan dokter gigi dan studi literatur, yang kemudian digunakan untuk melatih sistem dalam mendiagnosa penyakit berdasarkan gejala. Selain itu, penelitian ini juga menerapkan metode Extreme Programming (XP) dalam pengembangan perangkat lunak, yang mencakup perencanaan, desain, pengkodean, dan pengujian. Hasil pengujian menunjukkan bahwa sistem pakar ini efektif dalam mendiagnosis penyakit gigi, memberikan rekomendasi yang relevan kepada pengguna, serta diharapkan dapat mengurangi kesenjangan dalam akses terhadap informasi kesehatan gigi.
Poster Edukatif sebagai Media dalam Meningkatkan Pemahaman dan Perilaku Cegah Stunting Ratnasari, Ratnasari; Mukaromah, Hafsah; Prayoga, Sahrul
Carmin: Journal of Community Service Vol. 5 No. 2 (2025)
Publisher : Borneo Research and Education Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59329/carmin.v5i2.209

Abstract

The Community Service Program of Aisyah University Pringsewu was held in Pekon Sinar Baru, Sukoharjo District, Pringsewu Regency, from 2 to 27 December 2024, as part of the implementation of the Tri Dharma of Higher Education. This program aims to provide real contributions in overcoming community problems, one of which is stunting in toddlers. Stunting prevention is carried out through counseling and socialization activities, utilizing educational poster media and PowerPoint presentations, held at the Sinar Baru Village Hall. This activity involved residents from four hamlets and health workers, with a total of 50 participants. This activity was conducted in four stages: preparation, counseling, poster installation, and evaluation. The preparation stage involves preparing educational materials and identifying community nutritional problems. Counseling focused on education about the importance of balanced nutrition, exclusive breastfeeding, complementary feeding, and supplements for pregnant women and toddlers. Educational posters were installed to visually and sustainably strengthen community understanding. Evaluation was conducted by distributing pre-test and post-test questionnaires, as well as participant satisfaction surveys. The results of the activity showed an increase in community knowledge about stunting and family nutrition, with a positive response from participants, including health cadres. This activity succeeded in encouraging collective awareness of the importance of early stunting prevention and strengthening synergy between students, the village government, and the community in efforts to improve the quality of children's health in Pekon Sinar Baru.
Design and Construction of an Automatic Warm Water Media Shower Based on Arduino Uno Ahmad, Fandi; Ratnasari, Ratnasari; Aminudin, Nur; Ardhy, Ferly; Bintoro, Panji; Muhammad, Adamu Abubakar
IJOEM Indonesian Journal of E-learning and Multimedia Vol. 3 No. 2 (2024): Indonesian Journal of E-learning and Multimedia (May 2024)
Publisher : CV. Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijoem.v3i2.248

Abstract

This research aims to design and develop a prototype of an automatic warm water shower using sound sensors and ultrasonic sensors based on Arduino Uno. The research method uses steps from the Research and Development (R & D) Approach. The automatic warm water shower prototype developed allows users to carry out bathing activities more efficiently and comfortably, avoids wasting water due to negligence in closing the tap, and provides an automatic warm water feature. How the automatic warm water shower prototype works using a sound sensor and an ultrasonic sensor based on Arduino Uno. If the ultrasonic sensor detects the presence of an object within a distance of 30 cm, the ultrasonic sensor will activate the solenoid valve which acts as an automatic tap in turning on the tap, but when the ultrasonic sensor does not detect any the presence of an object, the ultrasonic sensor will deactivate the solenoid valve so that the tap will close automatically. If the user wants to take a shower using warm water, the user simply claps his hands and then the sound of the clapping activates the sound sensor, then the sound sensor will activate the water heater which functions as a heater. This research produces prototypes of automatic faucets and automatic hot water showers which show the potential for integrating technology into everyday bathing devices to increase user efficiency and comfort and avoid wasting water.
Deteksi Penyakit Daun Padi Menggunakan Deep Learning untuk mendukung Produktivitas dan Pertanian Berkelanjutan Ratnasari; Feriyanto, Dwi
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2900

Abstract

Rice is a major food commodity that is susceptible to leaf diseases, such as blast, bacterial leaf blight, and tungro, which can significantly reduce productivity if not detected early. This study aims to develop an early detection method for rice leaf diseases using a deep learning approach with a VGG16-based Convolutional Neural Network (CNN) architecture. The data used came from the Rice Leaf Dataset (Kaggle) and field images in Pringsewu Regency. The training process was carried out through transfer learning. The results showed that the model was able to achieve an accuracy of 99.75% on the training data, 96.08% on the validation data, and 100% on the test data. Field tests also proved the model's ability to generalize to real conditions, although there were still some cases with prediction confidence levels that were close between classes. These findings confirm that VGG16-based CNNs are effective for accurate and efficient detection of rice leaf diseases. The application of this model has the potential to support faster decision-making, reduce pesticide use, and encourage environmentally friendly sustainable agricultural practices.
Co-Authors Agustinus Eko Setiawan Ahlun Nazar, Ahmad Ahmad Jurnaidi Wahidin Alfina Alfina Andika, Tahta Herdian Aras, Irsan Ardian, Odi Arifin, Yulyani Bintoro, Panji Dinda Rahmadanty Dwi Yana Ayu Andini Eko Setiawan, Agustinus Fahlul Rizki Fandi Ahmad Ferly Ardhy Fitra Endi Fernanda, Fitra Endi Fitri Hardiyanti, Fitri Gustianing, Defy Habib, Cahya Isti Fada, Nurul Muhammad, Adamu Abubakar Mukaromah, Hafsah Nur Aminudin Ockhy Jey Fhiter Wassalam Pasaribu, Alfredo Prayoga, Sahrul Rendy Yudha Pratama Salman Alfarisi Salimu Setiawan, Agustinus Eko Silvyana, Dety Sunarmi Syaputra, Andhika Tahta Herdian Andika Ubaidillah, Ilham Ulfa Isni Kurnia Wahyuni, Nuci Widiandana, Panggah Zulkifli