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All Journal Fortech : Journal of Information Technology Journal of Agribusiness and Local Wisdom Akademika Fortech : Journal of Information Technology
Limia Budiarti, Rike
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

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Journal : Fortech : Journal of Information Technology

 1 
ANALISIS PREDIKSI KELULUSAN MAHASISWAFILKOM UNIVERSITAS NURDIN HAMZAH DENGAN METODE NAIVE BAYES Limia Budiarti, Rike; Kahar, Novhirtamely; wati, Risma
FORTECH (Journal of Information Technology) Vol 8 No 2 (2024): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/fortech.v8i2.1312

Abstract

Abstract - Universities have an obligation to produce competent graduates. This can be measured from the graduation rate of students. The purpose of the analysis carried out is to predict graduation on time and find out indicators of problems that cause graduation not to be on time. Many factors influence students' late graduation, such as the student's marital status, the status of the student working or not working, the level of student understanding of the course material which can be seen from the student's GPA. Predicting student graduation is very important because this research can make a significant contribution both academically. Understand patterns or factors that influence student success. Provides insights for designing more effective educational interventions, such as academic tutoring. Based on the existing problems, it is necessary to have a system to predict student graduation rates based on existing variables. Attributes used are Name, Name, Gender, School of Origin, Study Program, Year of College Entry, Year of Graduation, Student Status, Marital Status, Age, IPS, GPA and Parent's Occupation. The method used is the Naive Bayes method. Comparison results were carried out using Excel and Rapidminer tools. The resulting accuracy level is 97,96% from 330 training data and 98 test data
SISTEM INFORMASI PENGELOLAHAN DATA OPERASIONAL KEGIATAN MEDIA BERITA PADA LEMBAGA RADIO REPUBLIK INDONESIA (RRI) JAMBI BERBASISI WEB: MySql, Laravel, Filament, Tailwind CSS, Visual Studio Code, Radio Republik Indonesia (RRI) Jambi Limia Budiarti, Rike; Marsa Juleha
FORTECH (Journal of Information Technology) Vol 9 No 1 (2025): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/fortech.v9i1.1516

Abstract

Radio Republik Indonesia (RRI) is a Public Broadcasting Institution which organizes radio activities that are independent, neutral and function to provide information services, education, healthy entertainment, social control and social glue as well as preserving the nation's culture for the benefit of all levels of society through the implementation of radio broadcasting that reaching the entire territory of the Unitary State of the Republic of Indonesia. The aim of this research is to develop a system in the form of information, more precisely an information system, which aims to provide information related to RRI that can be known by the public or radio listeners on RRI. Of course, this information system is newer and its appearance can really attract public attention, more so than the previous RRI website. In the future, this information system can be used by RRI as an information system media and of course it can be further developed in the future. The collected data was analyzed using the web using the PHP programming language. PHP is a server-side language that is integrated with HTML, to create dynamic web pages, one of its functions is to receive, process and display data on a site, the data received will be processed in a database server program, then the results are displayed back on the browser screen. a site.
PENERAPAN DATA MINING UNTUK ANALISIS KESEHATAN BALITA MENGGUNAKAN METODE K-MEANS DAN DECISION TREE (STUDI KASUS PUSKESMAS PAAL LIMA): Data Mining, Health Toddlers, Nutritional Status, K-Means, Decision Tree Limia Budiarti, Rike; Mulyati, Sri; Zaidan, Ahmad
FORTECH (Journal of Information Technology) Vol 9 No 2 (2025): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/1kfq0k87

Abstract

Advances in information technology provide opportunities in health data analysis, particularly in the nutritional status of toddlers. This study applies data mining methods using the K-Means and Decision Tree algorithms to quickly and accurately group and classify the nutritional status of toddlers. K-Means is used to group data based on age, weight, and height into categories of good, poor, and very poor nutrition. The clustering results are then fed into the Decision Tree, which generates data-based nutritional intervention recommendations. This study used a quantitative approach with Orange Tools and a dataset of toddlers from the Paal Lima Community Health Center in Jambi City. The test results showed a classification accuracy of 92.3% and a 30% increase in nutritional analysis efficiency compared to the manual method. Thus, the application of data mining has proven to be effective in supporting community health centers in decision-making and improving toddler health services.
PENGEMBANGAN APLIKASI SMARTOFFICE MENGGUNAKAN METODE WATERFALL UNTUK MENINGKATKAN EFISIENSI PELAYANAN TERPADU SATU PINTU (PTSP) PADA KANTOR WILAYAH KEMENTERIAN AGAMA PROVINSI JAMBI: Smartoffice, PTSP, CAPTCHA, Data Separation, Waterfall Limia Budiarti, Rike; Megawati, Merti; Khairunissa, Khairunissa
FORTECH (Journal of Information Technology) Vol 9 No 2 (2025): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/smqrdr93

Abstract

This study discusses the development of the Smartoffice application within the One-Stop Integrated Service (PTSP) section of the Regional Office of the Ministry of Religious Affairs of Jambi Province to improve the efficiency and security of administrative management for incoming letters and diploma legalization. The identified issues include the malfunctioningCAPTCHA code during the login process, which reduces system security, and the absence of data separation between incoming letters and diploma legalization, making document retrieval and management difficult. This research applies the Waterfall methodology, consisting of requirement analysis, system design, implementation, and testing. The development results include fixing the CAPTCHA function, adding data separation basedon service categories, and implementing a more efficient document search feature. The system was implemented using PHP programming language and MySQL database. Testing results indicate that the system improves access security, speeds up document retrieval, andfacilitates officers in managing administrative services digitally.
Co-Authors Alfianto, Jefry Cendana, Gina Della Refpriyani, Mei Elzas Elzas, Elzas Ezrifal Sany Gloria Lbn.Tobing, Delvi Khairunissa, Khairunissa Lailyn Puad, Lailyn Lestari, Munjiah Lucy Simorangkir Marsa Juleha Megawati, Merti Miladinaqwa, Alfin Novhirtamely Kahar Nur Wahid, Nur Pariyadi Permata Ananda, Selvi Prisdawarti, Yuli Putra, Arya Rahayu, Muh. Subur Retno Utari, Arsyna Rismawati - Sri Mulyati Tri Yolanda, Dimas Wati, Risma William Gading, Patrick Zaidan, Ahmad