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All Journal Intellektika: Jurnal Ilmiah Mahasiswa Frontier Advances in Applied Science and Engineering
Ifani Hariyanti
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Design of EMR (Electronic Medical Record) Applications Using RFID Cards to Record Patient Medical Record Data at The Sukajadi Bandung Health Center Agung Rachmat; Ifani Hariyanti
Frontier Advances in Applied Science and Engineering Vol. 1 No. 2 (2023)
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/faase.v1i2.187

Abstract

One of the supports for health services is required to be better, one of which is by making EMR (electronic medical record) applications using RFID cards as a substitute for patient medical record cards. In this case this RFID card can function as patient history data, when the patient taps the RFID card, then all the history data appears entirely. Problem Identification at this stage the author identifies the problems that occur and looks for solutions needed at the Sukajadi Community Health Center in Bandung which requires a medical record application system to assist in processing patient data, medical record data and drug data at the Sukajadi Community Health Center. This research resulted in the design of a Medical Record application at the Sukajadi Health Center, Bandung City using an RFID card. b. With the record application can help activities in managing data both patients and drug data and more efficient and safer so that doctors can add or view the patient's medical record history.
Identifikasi Kualitas Visual Rempah Ekspor Indonesia Menggunakan Deep Learning Berbasis CNN Arifin Yusuf Permana; Ifani Hariyanti
Intellektika : Jurnal Ilmiah Mahasiswa Vol. 3 No. 5 (2025): Intellektika : Jurnal Ilmiah Mahasiswa
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/intellektika.v2i5.3228

Abstract

Indonesia is the world's leading producer of spices, but it still faces challenges in manual visual quality assessment, which is inconsistent. This study aims to develop a spice quality classification system using a Deep Learning approach based on Convolutional Neural Networks (CNN). Data was collected through digital images of five types of spices (cloves, cardamom, cinnamon, pepper, and nutmeg) classified into two categories: good and bad. The dataset was then processed and used to Train the CNN model using Tensorflow. The model architecture consists of several convolution, pooling, and dense layers, and is integrated into a web-based prototype application using Streamlit. Evaluation results show that the model achieves high Accuracy of 98.86% (Training), 98.45% (Validation), and 98.45% (Testing). The prototype application can provide automatic Predictions of spice quality through a simple and responsive interface. The results of this study indicate that CNN is effective in identifying the visual quality of spices and can serve as an objective, efficient technological solution that supports the enhancement of Indonesia's spice export competitiveness.
Pengembangan Sistem Pelayanan Surat Menyurat dan Pengaduan Layanan Berbasis Website di Desa Srirahayu Menggunakan Metode Waterfall dan Framework Laravel Ilham, Mochammad Ilham Faadhilah; Ifani Hariyanti
Intellektika : Jurnal Ilmiah Mahasiswa Vol. 3 No. 5 (2025): Intellektika : Jurnal Ilmiah Mahasiswa
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/intellektika.v3i5.3236

Abstract

Administrative services for correspondence and public complaints in villages are still largely handled manually, resulting in challenges in efficiency, speed of service, and poorly documented records. These issues are crucial to address to ensure better organized and responsive public services at the village level. This study aims to develop a website-based correspondence and complaint system accessible to the public and village officials. This study utilizes the Laravel Framework and Waterfall system development techniques. The results demonstrate that the system successfully simplifies the digital submission process for letters and complaints, and assists village officials in verifying and documenting data more efficiently. Based on implementation and testing, the system is considered effective and feasible to use, even though it is still operating locally. Therefore, it is recommended that the system be continuously developed, its features enhanced, and its online implementation be implemented immediately to provide broader benefits. This study aims to develop a website-based correspondence and complaint system accessible to the public and village officials. With this system, the public can submit letters and complaints digitally without having to visit the village office in person. This system also makes it easier for village officials to verify and document incoming complaints and letters in a more organized and efficient manner. The system development method used is the Waterfall method, which has clear and structured stages in each system development process. The results of this study indicate that the developed system successfully facilitates the digital submission of letters and complaints, which was previously done manually. The verification and documentation processes by village officials have also become more structured and efficient.
Co-Authors Agung Rachmat Arifin Yusuf Permana Ilham, Mochammad Ilham Faadhilah