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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 MEANS (Media Informasi Analisa dan Sistem) INCODING: Journal of Informatics and Computer Science Engineering 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 Jurnal Inovasi Kerja Nyata (JIKN)
Fredricka, Jhoanne
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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 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
Rancang Bangun Aplikasi Recruitment Karyawan Baru Menggunakan Metode Naive Bayes Classifier Di PT. Batavia Prosperindo Finance Tbk Kota Bengkulu Feisal, Royki; Suranti, Dewi; Fredricka, Jhoanne
INCODING: Journal of Informatics and Computer Science Engineering Vol 2, No 2 (2022): INCODING OKTOBER
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v2i2.301

Abstract

PT. Batavia Prosperindo Finane Tbk Bengkulu City is one of the companies engaged in the financing of four-wheeled vehicles. Since its inception on December 12, 1994, as a Multifinance Company, BPF has obtained a business license for a Financing Institution from the Ministry of Finance of the Republic of Indonesia which includes Financial Lease, Factoring, Credit Card and Consumer Finance. The company has not used a special application in determining the selection of new employee recruitment, and is still using it manually like one-on-one for the selection of new employees, so it is possible that the selection of employees is often long. One method that can solve this problem is by using the naive bayes classifier method, because the naive bayes classifier method is a method for solving multiple decision-making criteria, so the final calculation result has a probability for data analysis of new employee recruitment as the final output. Based on the results of observations using 50 applicant data, of which 30 data is accepted and 20 data is not accepted. With this method, it helps the company to find out which probability is the greatest to be able to help in overcoming the existing problems
Earthquake Disaster Mitigation To Improve Community Preparedness In Betungan Village Kurniawan, Dwiki; Andika, Ryndry; Zahesya, Favien Riza; Putra, Redo Osi; Febriansyah, Angga Trio; Fredricka, Jhoanne; Sartika, Devi; Elfianty, Lena
Jurnal Inovasi Kerja Nyata Vol. 1 No. 2 (2025): Desember
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jikn.v1i2.874

Abstract

Indonesia is a country prone to natural disasters, especially earthquakes, due to its location at the meeting point of three major tectonic plates. The lack of education and awareness among the public regarding disaster risks often exacerbates the impact of such events. This Devotion aims to enhance public understanding and preparedness for earthquakes through poster-based disaster mitigation awareness campaigns. The activities were conducted in Betungan Village, Selebar Subdistrict, Bengkulu City, using a qualitative approach. The three stages of the activity included the development of disaster management documents, community organisation, and direct outreach in the field. The results showed an increase in public awareness and knowledge of evacuation and disaster mitigation measures. Despite some technical and social challenges, the activity successfully fostered active community participation and served as an effective model for disaster education at the community level.
Co-Authors Adiansyah, Febri Afrizal, Nanda Al-Mubdi, Muhammaad Abid Andi Hartono, Andi Andika, Ryndry Andre pranata, Andre Pranat Fansyuri Nasution, Hamzah Febriansyah, Angga Trio Feisal, Royki IHSAN, MUHAMMAD FIKRI Indra Kanedi Julianda, Figora Jumadi , Juju Juniansyah, Dedy Jusuf Wahyudi Khairil Khairil Kurniawan, Dwiki Kurniawan, Muhammad Andhika Lena Elfianty Leni Natalia Zulita Lesmana, Ferdi Lestari, Virly Dwi Liza Yulianti Liza Yulianti Mahdalena, Desi Mardiana, Yessi Nengsi, Ririn Agustia Nizar, Fahrul Ikhram Novita Sari, Venny Oktara, Panggi Pertan Sagala, Deddy Pradila, Lara Prahasti Putra, Redo Osi Qurniati, Nofi Rahayu, Reska Putri Rahayu Rahmat S, Khaerullah Ramadhan, Surya Rozzi, Yoli Andi S Siswanto Saputra, Ryu River Sartika, Devi Sukmawati Sukmawati Supardi, Reno Suranti, Dewi Tahari, Arzan Toibah Umi Kalsum Wandi, Dehar Wiradiansya, Edoar Yasa, Pri Yogha Zahesya, Favien Riza