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All Journal Jurnal Media Infotama Jurnal Inspiration International Journal of Artificial Intelligence Research Jurnal Teknik Informatika UNIKA Santo Thomas JUTEKIN (Jurnal Manajemen Informatika) JOURNAL OF SCIENCE AND SOCIAL RESEARCH CSRID (Computer Science Research and Its Development Journal) METIK JURNAL JURNAL SURYA ENERGY JUKI : Jurnal Komputer dan Informatika Journal of Innovation Information Technology and Application (JINITA) MEANS (Media Informasi Analisa dan Sistem) Djtechno: Jurnal Teknologi Informasi Indonesian Journal of Engineering Research KLIK: Kajian Ilmiah Informatika dan Komputer 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) Journal of Informatics and Electronics Engineering SATIN - Sains dan Teknologi Informasi Jurnal Komputer Indonesia Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat Jurnal Kewirausahaan dan Bisnis Informasi interaktif : jurnal informatika dan teknologi informasi Jurnal Inovasi Kerja Nyata (JIKN) Jurnal Komputer, Informasi dan Teknologi

Fredricka, Jhoanne

Universitas Dehasen Bengkulu

Author-ID : 1827234

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Decision Support System Appointment Of Permanent Employees With Analytical Hierarchy Process Method M. Ajis Akbar Kurniawan; Siswanto, Siswanto,; Jhoanne Fredricka
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

The appraisal system for the appointment of training employees to permanent employees at Rakyat Bengkulu Television (RBTV) has not been computerized and is still done manually through an assessment form that has been provided to give each training employee a score that has been seen for the last 3 months. This takes a long time to find out who is eligible to be appointed as permanent employees. The Decision Support System for the appointment of permanent employees at the Bengkulu Rakyat Televisi (RBTV) Bengkulu was made using the Visual Basic .Net programming language and SQL Server 2008r2 database, where in the application one of the Decision Support System Methods, namely Analytical Hierarchy Process (AHP) has been applied. This Decision Support System for the appointment of permanent employees at the Bengkulu Rakyat Televisi (RBTV) Bengkulu can assist the employee appraisal process and provide recommendations for those who are eligible to be appointed as permanent employees. As for the test results in 2018 using the AHP Method, it was found that 3 employees had the highest scores out of 10 employees, namely Galeh Fajar (87.81), Retno Setiawan (85.57), and Richo Rieo (85.5).

The Implementation Of The Exponential Smoothing Method In Forecasting The Number Of Students At Smk Negeri 3 Bengkulu Fezi Fadwa Rendika; Liza Yulianti; Jhoanne Fredricka
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

The admission of new students is a routine activity every Academic Year carried out at schools. SMK Negeri 3 Bengkulu City is one of the State Vocational Schools in Bengkulu City which every Academic Year accepts new students. Based on data obtained from the 2011/2012 Academic Year to the 2021/2022, it shows that the level of the number of students sometimes decreases and also increases. This fluctuating pattern of student numbers is a problem faced by SMK Negeri 3 Bengkulu City in determining strategic steps and policies from schools in dealing with PPDB (New Student Admission) in every academic year. The application for forecasting the number of students at SMK Negeri 3 Bengkulu City is an application that can help schools find out how many students there will be in the coming school year based on the results of the analysis conducted from the previous trend data. Forecasting analysis is carried out through Exponential Smoothing Method approach. The results of the tests carried out obtained forecasting results in 2022/2023 academic year as many as 474 students.

Application Of Importance Performance Analysis Method In Measuring Satisfaction Level Students On Learning In School David Tri Julian; Herlina Latipa Sari; Jhoanne Fredricka
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v1i2.2709

Pelita Kasih High School which is a private school located in Bengkulu City. So far, the learning process at Pelita Kasih High School often makes students feel bored and lack understanding and mastery of the material that has been taught. This makes the school, especially the teacher, must conduct an analysis to determine the level of student satisfaction with the learning system every semester. However, the obstacle that occurs is that Pelita Kasih High School does not yet have a forum that can help students to provide assessments related to learning satisfaction in schools that are ongoing per semester. Applications measuring the level of student satisfaction with learning at Pelita Kasih High School Bengkulu are used to assist the school in knowing the level of student satisfaction per semester per academic year based on filling out the questionnaire form that has been done by students. The application to measure the level of student satisfaction has applied the IPA (Importance Performance Analysis) method which is used to determine the level of suitability of respondents based on the level of interest and level of satisfaction that has been given by students. The application to measure the level of student satisfaction with learning at SMA Pelita Kasih Bengkulu was made using the Visual Basic .Net programming language. Based on the assessment of 18 students in the Even Semester of the 2021/2022 Academic Year, the average respondent suitability level (TKi) was 91.57% and showed that the level of student satisfaction with learning at school was very satisfied..

Determination of Recipients of Livestock Assistance for Villages Using the Simple Additive Weighting Method Anisyah Juniarti; Siswanto Siswanto; Jhoanne Fredricka
Jurnal Media Computer Science Vol 2 No 2 (2023): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i2.3945

Decision support systems are systems capable of providing data and information. In today's digital and globalization era, where the need for fast, precise and accurate information is very important. What's more, currently various public and private agencies will develop their businesses, one of which is to make changes by utilizing sophisticated technology such as computers as a substitute for human labor, The simple additive weighting method is one of the methods used to solve the problem of fuzzy multiple attribute decision making (FMADM). The simple additive weighting (SAW) method is a method used to find optimal alternatives from a number of alternatives with certain criteria. The result of this research is a software that adopts the SAW method which is able to assist the agriculture and animal husbandry department for decision making in determining recipients of livestock assistance every year.

Application Of Composite Performance Index (Cpi) Method In Decision Support System Election Of Best Village Head In North Bengkulu District Andre pranata, Andre Pranat; Supardi, Reno; Fredricka, Jhoanne
Jurnal Media Computer Science Vol 3 No 2 (2024): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v3i2.5786

The selection of the best village head is one of the programs of North Bengkulu Regency with the aim of improving the performance of each elected village head. A decision support system is an alternative system that aims to help make decisions through the use of data and decision models to solve semi-structured and unstructured problems. The aim of this research is to build a decision support system by applying the composite performance index (CPI) method as a decision making method that is able to assist the district in assessing the best village head according to predetermined criteria. This research produces a system that can help provide recommendations for the best village heads based on calculations of criteria set by the selectors.

The Implementation Of Certainty Factor Method For Diagnosing Diseases In Children Al-Mubdi, Muhammaad Abid; Siswanto, Siswanto; Fredricka, Jhoanne
Jurnal Media Computer Science Vol 4 No 1 (2025): Januari
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i1.7536

An expert system is a system in the form of a computer application that seeks to adopt human knowledge in the form of a program with the intention of solving certain problems. Knowledge about something from expert is adopted into an expert system so that the system can diagnose and analyze a problem. Lack of knowledge about childhood diseases such as ARI, diarrhea and Pneumonia, can be fatal to health, therefore to help the community and medical personnel in providing knowledge, consultation and socialization about these diseases is to design and build expert system applications by applying the Certainty Factor method. Expert systems using the Certainty Factor method have the advantage of being able to measure something whether it is certain or uncertain, for example in diagnosing a disease. However, this system also has the disadvantage of only being able to process uncertainty or certainty of only 2 data. The final result of this research is an expert system to diagnose childhood diseases (ARI, Diarrhea, Pneumonia) along with the confidence value of the diagnosed disease, which shows the level of system confidence in the disease.

Application of the Naive Bayes Method in the Classification of Employee Status at PT. Prosperous New Light Rahmat S, Khaerullah; Kanedi, Indra; Fredricka, Jhoanne
Jurnal Media Computer Science Vol 2 No 1 (2023): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i1.3395

Sinar Baru Makmur In determining the extension of an employee's contract, it is taken from the results of an employee's performance appraisal, if the performance results are good or very good, a contract extension will be carried out. However, in determining the results of employee contract extensions there are still some subjective judgments, and family relationships that create gaps with other employees in determining the final outcome of the assessment. To avoid subjectivity in evaluating employee performance, this study created an application for evaluating employees by classifying them using the Naive Bayes method. Employee status classification application at PT. Sinar Baru Makmur is created using the Visual Basic .Net programming language. The application can help manage employee performance appraisal evaluation data and can also help provide recommendations for the eligibility of employee status whether to be extended or not renewed based on the classification results of the Naive Bayes Method.

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

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

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.

Expert System For Diagnosing Mental Disorders At Soeprapto Special Psychiatric Hospital Bengkulu Province Using The Forward Chaining Method Ahmad Syukron Ali; Siswanto Siswanto; Jhoanne Fredricka
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.9034

Expert systems are a branch of artificial intelligence designed to mimic the ability of an expert to make decisions or solve problems in a particular field. This study aims to develop a web-based expert system capable of performing diagnoses using the forward chaining method as an inference mechanism. This system is intended to help the public recognize specific problems, particularly in the field of health. Unfortunately, people often lack access to professional psychological services. This study aims to build web-based expert system that can help make an initial diagnosis of mental disorders using forward chaining method. This system is designed to collect symptoms from users, process them using a rule base determined by experts, and provide automatic diagnosis results. In its development, the system uses the PHP programming language and MySQL database to store symptom data, disease information, and consultation results. The inference process is conducted sequentially (forward chaining) based on the symptoms selected by the user until a conclusion is reached regarding the type of mental disorder and its likelihood. Testing results indicate that the system can provide reasonably accurate results in identifying users' mental conditions based on the symptoms entered. This system is expected to serve as a useful initial consultation tool, particularly in communities with limited access to mental health services. However, this system is not intended to replace the role of professionals but rather as a form of technological support to aid in early detection.

Co-Authors Adiansyah, Febri Aexsa Alfyano Ahmad Syukron Ali Aji Sukmo Al-Mubdi, Muhammaad Abid Andayani Andayani Andayani, Andayani Andi Hartono, Andi Andika, Ryndry Andre Pranat Andre pranata Andre pranata, Andre Pranat Anisyah Juniarti Annisa Putri Pratiwi Asnawati Asnawati Aziz Ali Mahendra Castaka Agus Sugianto Chindy Asher Darojatul Kubroh David Tri Julian Deddy Pertan Sagala Deko Aribowo Desi Mahdalena Desi Mahdalena Devi Risianti Devina Ninosari Dewi Suranti Dewi Suranti Dini Rohmayani Febriansyah, Angga Trio Feisal, Royki Feri Hari Utami Fezi Fadwa Rendika H Siswanto Hamzah Fansyuri Nasution Herlina Latipa Sari Hermawansa I Putu Yogi Saputra IHSAN, MUHAMMAD FIKRI Indah kartika Indra Kanedi Julianda, Figora Jumadi , Juju Jumadi, Juju Juniansyah, Dedy Jusuf Wahyudi Kanedi, Indra Kanedi Kelik Sussolaikah Khairil Khairil Kiki Nadia Kristiyo Indriadi Wardoyo Kurniawan, Dwiki Kurniawan, Muhammad Andhika Kusrini Lara Pradila Lena Elfianty Lena Elfianty Leni Natalia Zulita Lesmana, Ferdi Lestari, Virly Dwi Lindry Dwi Cahyani Liza Yulianti M Zuhri M. Ajis Akbar Kurniawan Mahdalena, Desi Mardiana, Yessi Maryanigsih, Maryanigsih Maryaningsih Maryaningsih Masterjon Masterjon Mendalia Hasanah Migi Migi Mohamed Doheir Muhammad Hafist Khalaf Muttaqin, Zaenal Nanda Afrizal Nengsi, Ririn Agustia Nizar, Fahrul Ikhram Nofi Qurniati Nofi Qurniati Novita Sari Novita Sari, Venny Oktara, Panggi Perlius Septria Pertan Sagala, Deddy Pradila, Lara Prahasti Putra, Redo Osi Qurniati, Nofi Rahayu, Reska Putri Rahayu Rahmadewi Roskarlina Rahmat S, Khaerullah Ramadhan, Surya Reksi Andari Reno Supardi Reza Ardiansyah Rinaldi Rinaldi Ririn Agustia Nengsi Riska Eka Aprianty Rizka Tri Alianse Rizka Tri Alinse Roni Ardiwan Rozzi, Yoli Andi Ryu River Saputra S Siswanto Sallaby, Achmad Fikri Sapri , Sapri Saputra, Ryu River Sari, Novita Sartika, Devi Siswanto Siswanto Sukmawati Sukmawati Sukmawati Sukmawati Supardi, Reno Suranti, Dewi Surya Ramadhan Tahari, Arzan Toibah Umi Kalsum Toibah Umi Kalsum Venny Novita Sari Wahyuni - Wahyuni Wandi, Dehar Widia Sari Wiradiansya, Edoar Yasa, Pri Yogha Yeyen Dwi Atma Yoli Andi Rozzi Yulistika Handini Yupianti, Yupianti Zahesya, Favien Riza

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