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All Journal Jurnal Media Infotama Jurnal Teknik Informatika UNIKA Santo Thomas JOURNAL OF SCIENCE AND SOCIAL RESEARCH JURNAL SURYA ENERGY JUKI : Jurnal Komputer dan Informatika Journal of Innovation Information Technology and Application (JINITA) MEANS (Media Informasi Analisa dan Sistem) Jurnal Komputer, Informasi dan Teknologi Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Digital Transformation Technology (Digitech) Jurnal Komputer Indonesia Informasi interaktif : jurnal informatika dan teknologi informasi
Fredricka, Jhoanne
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science Public Health Social Sciences Other

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Create An E-Raport Application Using The Laravel Framework And Mysql Tahari, Arzan; Kalsum, Toibah Umi; Fredricka, Jhoanne
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8915

Abstract

Learning outcome reports are written evidence of student learning progress over time. The data recorded in the student learning outcome report can be used to track student progress, identify student strengths and weaknesses in several subjects. This research aims to develop a web-based E-Raport application using the Laravel Framework and MySQL. This research was conducted at SD Negeri 33 Seluma. Located in Lubuk Betung Village, Semidang Alas Maras District, Seluma Regency, Bengkulu Province from October to November 2024. The result of this research is the creation of an E-Raport application that has features of managing student data, inputting grades, calculating grades, and making report cards.
Implementation Of Data Mining In Forecasting Herbal Medicine Sales At Cv. Anugerah Alam Indonesia Using The Linear Regression Method Lesmana, Ferdi; Elfianty, Lena; Fredricka, Jhoanne
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.9030

Abstract

CV. Anugerah Alam Indonesia is a company engaged in the production and sale of herbal medicines. The main issue faced by the company is the inaccuracy in estimating production quantities, which often leads to either overstocking or stock shortages. This research aims to develop a sales forecasting application for herbal products using the simple linear regression method as part of data mining techniques. The sales data used in this study spans from 2020 to 2025 and focuses on ten selected herbal products. The application is web-based, developed using the PHP programming language and Laravel framework, with MySQL as the database. The forecasting process involves calculating regression constants and coefficients based on historical sales data and evaluating the prediction results using the Mean Absolute Percentage Error (MAPE) metric. The test results show that the forecasting model demonstrates varying levels of accuracy, ranging from very good to acceptable, depending on the product. By implementing this system, the company can optimize its production and distribution processes, avoid resource waste, and improve operational efficiency.
Implementation of the Weighted Product Method in a Decision Support System for the Assessment of Medical Personnel at Tais Regional General Hospital Julianda, Figora; Jumadi , Juju; Fredricka, Jhoanne
Jurnal Komputer Indonesia Vol. 4 No. 1 (2025): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v4i1.827

Abstract

Medical performance assessment aims to improve service quality. The obstacle faced is the difficulty of evaluating medical performance objectively due to the many criteria and responsibilities of medical personnel for services. To overcome these obstacles, a Decision Support System using the Weight Product method is needed to be utilized as a tool in supporting the decision-making process. The Weight Product method uses multiplication to connect attribute ratings, where the rating of each attribute is first multiplied by the weight of the attribute concerned. The system implementation uses Visual Basic 2010 programming language and the method used in this research is the waterfall method. From the test results, it can be concluded that the medical performance assessment using Weight Product can be done well by taking the top number of medical personnel from the ranking process.
Implementasi Metode Bayes untuk Klasifikasi Penyakit Pasien pada Puskesmas Anggut Atas Kota Bengkulu Lestari, Virly Dwi; Fredricka, Jhoanne; Nizar, Fahrul Ikhram
Digital Transformation Technology Vol. 5 No. 1 (2025): Periode Maret 2025
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v5i1.6291

Abstract

Puskesmas berperan penting sebagai layanan kesehatan tingkat pertama dalam memberikan diagnosis awal dan penanganan penyakit, termasuk di Puskesmas Anggut Atas Kota Bengkulu. Namun, keterbatasan tenaga medis, kompleksitas gejala, dan banyaknya jumlah pasien kerap menjadi kendala dalam proses diagnosis yang cepat dan tepat, khususnya untuk kasus Infeksi Saluran Pernapasan Akut (ISPA). Penelitian ini bertujuan untuk mengimplementasikan metode Naive Bayes dalam sistem klasifikasi penyakit ISPA guna membantu proses diagnosis berdasarkan data rekam medis pasien. Metode Naive Bayes digunakan karena kemampuannya dalam menganalisis data dan memperkirakan probabilitas klasifikasi berdasarkan gejala yang dilaporkan pasien. Data yang digunakan mencakup atribut jenis kelamin, usia, dan gejala-gejala ISPA. Hasil penelitian menunjukkan bahwa sistem klasifikasi yang dikembangkan mampu mengelompokkan tingkat risiko penyakit ISPA ke dalam tiga kelas, yaitu Class I (Ringan), Class II (Sedang), dan Class III (Berat). Model klasifikasi ini menghasilkan prediksi berdasarkan nilai probabilitas tertinggi untuk setiap data pasien. Penerapan metode Bayes terbukti meningkatkan efisiensi dan akurasi dalam proses diagnosis ISPA di Puskesmas, serta dapat memberikan rekomendasi awal kepada tenaga medis dalam menentukan tingkat risiko pasien. Dengan demikian, sistem ini berpotensi menjadi alat bantu dalam meningkatkan kualitas pelayanan kesehatan.
Sistem Pendukung Keputusan Dalam Kelayakan Penerima Bantuan PKH Menggunakan Metode Multi Objective Optimization On The Basic Of Rat Io Analysis (MOORA) Sari, Widia; Sari, Herlina Latipa; Fredricka, Jhoanne
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9185

Abstract

The Family Hope Program (PKH) is one of the government's efforts to overcome poverty by providing social assistance to poor families. However, selecting the right and objective recipients of assistance is an important challenge to ensure that the assistance is right on target. This study aims to develop a decision support system (DSS) in determining the eligibility of PKH assistance recipients using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method. The MOORA method was chosen because of its ability to process several criteria simultaneously, So that it can provide more accurate and objective decisions. The system considers various criteria such as income level, number of family members, and socio-economic status to calculate the eligibility score of aid recipients. The results of this system are expected to provide recommendations for PKH aid recipients that are more efficient, fair, and in line with government priorities. The trials conducted on aid recipient data are expected to demonstrate the accuracy and effectiveness of the system in facilitating more precise and transparent decision-making.
Penerapan Metode K-Means Dalam Pengelompokan Data Siswa Berdasarkan Masalah Akademik Di SMA Negeri Selangit Asher, Chindy; Fredricka, Jhoanne; Alinse, Rizka Tri
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9370

Abstract

Selangit State High School does not yet have a system that can help identify students' academic problems. Until now, the school has only manually recorded each student's disciplinary violations as a point system by observing the violations committed by students, and at the end of the semester, all violation points are calculated. However, this process takes a considerable amount of time, as each student's violation points must be calculated individually, resulting in a lengthy process to determine the appropriate sanctions for each student. The application of the k-means method in grouping student data based on academic issues at Selangit State Senior High School can help the school obtain more specific information regarding students' academic issues and can be used as a benchmark in assisting with evaluations and counseling for students grouped based on academic issues. Based on the test data used in the odd semester of the 2024/2025 academic year, involving 30 students who committed violations, the results showed that cluster C1 had 12 students with sanctions in the form of reprimands, cluster C2 had 10 students with written warnings, cluster C3 had 0 students with suspension warnings, cluster C4 had 5 students with disciplinary action, and cluster C5 had 3 students.
SISTEM INFORMASI AKADEMIK PADA SEKOLAH KUTTAB ABU BAKAR UNTUK MENINGKATKAN EFISIENSI PENGELOLAAN DATA SISWA Saputra, Ryu River; Elfianty, Lena; Fredricka, Jhoanne
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4216

Abstract

Abstract: The advancement of information technology has brought significant changes across various sectors, including education. At Kuttab Abu Bakar School, academic data is still managed manually as seen in many schools including Kuttab Abu Bakar School, often resulting in problems such as data entry errors, delays in report preparation, and difficulty in accessing information quickly. These issues hinder the school’s effectiveness in compiling academic reports and supporting data-driven decision-making. Therefore, an integrated, accurate, and efficient academic information system is needed to improve the management of student data, accelerate data recording and retrieval processes, and facilitate academic report that are regularly required by the school administration. . This study involves system requirements analysis, design, and implementation using technologies suited to the school’s needs, followed by system testing to ensure functionality and user satisfaction through predefined testing scenarios.. The results show improved efficiency in academic data management, reduced errors, and faster reporting processes. Thus, the system is expected to provide benefits for Kuttab Abu Bakar School in supporting a more effective and structured academic process. Keywords: Academic Information System, Data Management, Kuttab Abu Bakar School Abstrak: Kemajuan teknologi informasi telah membawa perubahan signifikan dalam berbagai sektor, termasuk bidang pendidikan. Di Sekolah Kuttab Abu Bakar, pengelolaan data akademik masih dilakukan secara manual di banyak sekolah, termasuk Sekolah Kuttab Abu Bakar, yang sering kali menimbulkan permasalahan seperti kesalahan pencatatan, keterlambatan dalam pembuatan laporan, serta kesulitan dalam mengakses informasi secara cepat. Hambatan-hambatan tersebut memengaruhi efektivitas sekolah dalam menyusun laporan akademik dan mendukung pengambilan keputusan. Oleh karena itu, diperlukan sistem informasi akademik yang lebih terintegrasi, akurat, dan efisien untuk meningkatkan pengelolaan data siswa, mempercepat proses pencatatan dan pencarian data, serta mempermudah penyusunan laporan akademik yang dibutuhkan oleh pihak sekolah secara berkala. Penelitian ini mencakup analisis kebutuhan, perancangan sistem, implementasi menggunakan teknologi yang sesuai dengan kebutuhan sekolah, serta pengujian untuk memastikan sistem berjalan dengan baik dan memenuhi kebutuhan pengguna melalui skenario uji yang telah dirancang. Hasil penelitian menunjukkan bahwa sistem informasi akademik yang dikembangkan mampu meningkatkan efisiensi dalam pengelolaan data siswa, mengurangi risiko kesalahan pencatatan, dan mempercepat proses pembuatan laporan. Dengan demikian, sistem ini diharapkan dapat memberikan manfaat bagi Sekolah Kuttab Abu Bakar dalam mendukung proses akademik yang lebih efektif dan terstruktur. Kata kunci: Sistem Informasi Akademik, Pengelolaan Data, Sekolah Kuttab Abu Bakar
Interpretable Deep Learning Model for Grape Leaf Disease Classification Based on EfficientNet with Grad-CAM Visualization Sugianto, Castaka Agus; Rohmayani, Dini; Fredricka, Jhoanne; Doheir, Mohamed
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 1 (2025): JINITA, June 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i1.2745

Abstract

Grape leaf diseases pose a significant threat to agricultural productivity, especially in regions with fluctuating climatic conditions that create favorable environments for pathogen growth. Early and accurate disease detection is essential for preventing severe crop losses. Traditional manual inspection methods are inefficient and prone to human error, highlighting the need for an automated approach. This study proposes a computer vision-based solution using Convolutional Neural Networks (CNN) improved by EfficientNetB0 to classify grape leaf diseases. The model was trained on a publicly available dataset from Kaggle, which consists of 9,027 images in four classes: ESCA, Leaf Blight, Black Rot, and Healthy. Each image has a resolution of 300 × 300 pixels with a 24-bit color depth, ensuring sufficient detail for analysis. To enhance model performance, data augmentation and hyperparameter tuning were applied. The EfficientNetB0 model was employed due to its strong feature extraction capabilities and computational efficiency. The proposed model achieved 99.36% accuracy, with evaluation metrics including precision (99%), recall (99%), and F1-score (99%), demonstrating its reliability in distinguishing disease categories. Further analysis using a confusion matrix and Grad-CAM visualization provided insights into the model’s decision-making process. The results indicate that this deep learning-based approach is highly effective for grape leaf disease classification. Future research can explore real-time field data collection, attention mechanisms, and self-supervised learning to further improve classification accuracy and model generalization for large-scale agricultural applications.
Co-Authors Adiansyah, Febri Afrizal, Nanda Al-Mubdi, Muhammaad Abid Alinse, Rizka Tri Andi Hartono, Andi Andre pranata, Andre Pranat Aribowo, Deko Asher, Chindy Cahyani, Lindry Dwi Doheir, Mohamed Fansyuri Nasution, Hamzah Herlina Latipa Sari IHSAN, MUHAMMAD FIKRI indah kartika Indra Kanedi Julianda, Figora Jumadi , Juju Juniansyah, Dedy Jusuf Wahyudi Khairil Khairil Khalaf, Muhammad Hafist Kubroh, Darojatul Kurniawan, Muhammad Andhika Lena Elfianty Leni Natalia Zulita Lesmana, Ferdi Lestari, Virly Dwi Liza Yulianti Liza Yulianti Mahdalena, Desi Mardiana, Yessi Maryaningsih, Maryaningsih Nengsi, Ririn Agustia Nizar, Fahrul Ikhram Novita Sari, Venny Oktara, Panggi Pertan Sagala, Deddy Pradila, Lara Prahasti Qurniati, Nofi Rahayu, Reska Putri Rahayu Rahmat S, Khaerullah Ramadhan, Surya Risianti, Devi Rohmayani, Dini Rozzi, Yoli Andi S Siswanto sapri sapri Saputra, I Putu Yogi Saputra, Ryu River Sari, Widia Sugianto, Castaka Agus Sukmawati Sukmawati Supardi, Reno Suranti, Dewi Tahari, Arzan Toibah Umi Kalsum Wandi, Dehar Wardoyo, Kristiyo Indriadi Wiradiansya, Edoar Yasa, Pri Yogha Yupianti, Yupianti