Garuda - Garba Rujukan Digital

Intelligent Decision Support System in the Selection of Children's School Types Based on IQ, SQ, and EQ in Aceh Cut Fadhilah; Nunsina Nunsina; Rosma Siregar
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.7340

Schools are institutions for students to carry out early stages of education that are tailored to their level. Developments that continue to show their existence have a very rapid impact, for example school institutions. Currently, there are permanent schools (pondok/pesantren) or public schools (state/private) with their respective performances. However, the tendency of parents to choose the best school according to him without paying attention to the child's growth and development first. This often occurs after the transition from elementary school to junior high school (SMP). Especially for the Aceh area, where the majority of children are directly in hostel with the hope that the child can grow optimally without reviewing the advantages and disadvantages. The rapid development of technology in Indonesia has contributed a lot to the problems experienced by society with the birth of various kinds of intelligent systems. The development of an intelligent system based on this expert system can be a solution to the problems that arise for parents now, can determine the type of school children will go to in the future. by implementing a method that is able to make decisions by providing the best solution. The purpose of this study is to build an intelligent system that is able to provide decision support in determining the type of school. By providing services to parents in the form of a web service-based interface system. As well as understanding the type of child's ability before deciding to be in a boarding school or public school, especially at the junior high school level.

SUPORT SYSTEM DECISION (DSS) PRESMA ELECTIONS OF UNIKI USING SIMPLE ADDITIVE WEIGHTHING METHODE (SAW) Nunsina Nunsina; Cut Fadhilah; Kulbahri Kulbahri
Dharmawangsa: International Journal of the Social Sciences, Education and Humanitis Vol 3, No 2 (2022): Social Sciences, Education and Humanities
Publisher : Universitas Dharmawangsa Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/ijsseh.v3i2.2818

ABSTRACT Since minister lukman (2014-2019) and judge saifuddin (2014-2019) presented the discourse on religious censorship, the ministry of religions has continued to develop knowledge and strengthen religious censorship narratives through various digital platforms. The study focuses on the Ministry of the Republic of Indonesia's increased religious censorship on YouTube, the most popular social media platform for today's Internet users. The study draws several conclusions by combining a content analysis method with a descriptive analysis method. First, the intensity with which the YouTube channel is used to strengthen religious censorship issues needs to be increased. Only 15 (4.71%) of the 318 videos uploaded to the ministry of religion's YouTube account contain content on censorship and religious harmony. The annual frequency remained low, and there was no content on moderation and religious harmony in 2019. Second, religious censorship is still applied primarily to intellectuals who have not reached out to millennials. Its progress in eradicating negative issues related to the government's religious regulation program remains limited. Third, reaction data on censored and harmonized video content remains low, according to warganet. According to research, netizens prefer the term harmony to moderation. This suggests that the Indonesian people prefer harmony in general, but there are still some interpretations or negative impressions of the term "moderation" carried by the ministry of religions. Keywords: Methode (SAW), Student presidency candidate (PRESMA), Decision-making support systems

SUPORT SYSTEM DECISION (DSS) PRESMA ELECTIONS OF UNIKI USING SIMPLE ADDITIVE WEIGHTHING METHODE (SAW) Nunsina Nunsina; Cut Fadhilah; Kulbahri Kulbahri
Dharmawangsa: International Journal of the Social Sciences, Education and Humanitis Vol 3, No 2 (2022): Social Sciences, Education and Humanities
Publisher : Universitas Dharmawangsa Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/ijsseh.v3i2.2818

ABSTRACT Since minister lukman (2014-2019) and judge saifuddin (2014-2019) presented the discourse on religious censorship, the ministry of religions has continued to develop knowledge and strengthen religious censorship narratives through various digital platforms. The study focuses on the Ministry of the Republic of Indonesia's increased religious censorship on YouTube, the most popular social media platform for today's Internet users. The study draws several conclusions by combining a content analysis method with a descriptive analysis method. First, the intensity with which the YouTube channel is used to strengthen religious censorship issues needs to be increased. Only 15 (4.71%) of the 318 videos uploaded to the ministry of religion's YouTube account contain content on censorship and religious harmony. The annual frequency remained low, and there was no content on moderation and religious harmony in 2019. Second, religious censorship is still applied primarily to intellectuals who have not reached out to millennials. Its progress in eradicating negative issues related to the government's religious regulation program remains limited. Third, reaction data on censored and harmonized video content remains low, according to warganet. According to research, netizens prefer the term harmony to moderation. This suggests that the Indonesian people prefer harmony in general, but there are still some interpretations or negative impressions of the term "moderation" carried by the ministry of religions. Keywords: Methode (SAW), Student presidency candidate (PRESMA), Decision-making support systems

ANALYSIS OF K-MEANS ALGORITHM FOR RECOMMENDATIONS STUDENT CAREER DETERMINATION Cut Fadhilah; Nunsina Nunsina; Zakial Viki
Dharmawangsa: International Journal of the Social Sciences, Education and Humanitis Vol 3, No 3 (2022): Social Sciences, Education and Humanities
Publisher : Universitas Dharmawangsa Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/ijsseh.v3i3.2816

ABSTRACTCareer is a person's progress in a job that is obtained through training or work experience during his life. The stages in a career start from knowing the type of job you are interested in based on your expertise, so there is a reference for finding the job you want. After knowing the job you want, the next step is to stay focused and deepen your skills in that field, so you can master the job you're looking for. Based on these stages, a system is needed that can recommend careers that can assist students in determining careers that match their potential based on their academic grades. In this study, the K-Means algorithm was used to analyze the problem. This study designed a k-means algorithm analysis system for career suitability recommendations for web-based students using HTML, PHP, CSS and XAMPP programming languages. The method used in this study is the Unified Modeling Language (UML) method. This research is able to provide career recommendations for students using the k-means clustering algorithm for three types of careers, namely Web Engineer, Programmer and Software Engineering. This study produces an accuracy rate of 96.6% with manual calculations with results in the system This research is able to provide career recommendations for students using the k-means clustering algorithm for three types of careers, namely Web Engineer, Programmer and Software Engineering. This study produces an accuracy rate of 96.6% with manual calculations with results in the system This research is able to provide career recommendations for students using the k-means clustering algorithm for three types of careers, namely Web Engineer, Programmer and Software Engineering. This study produces an accuracy rate of 96.6% with manual calculations with results in the systemKeywords: Career, K-means, Recommendations.

Perancangan Aplikasi Web Bidang Agriculture Berbasis Sistem Pakar Untuk Deteksi Penyakit Cabai Dengan Metode Dempster Shaf Mutasar Mutasar; Nunsina Nunsina; Cut Fadhlilah
Jurnal Tika Vol 8 No 1 (2023): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v8i1.1913

Very commonly found in chili plants, but the problem is whether the pest or disease causes significant losses or not. To find out what type of attack occurs on chili plants, sometimes farmers lack knowledge in the field of information on pests and diseases so that there are times when the treatment is not in accordance with the type of attack so the disease continues to spread to other plants. Advances in expert systems can overcome this problem by designing a web-based computer system that is integrated with databases and programming languages such as PHP-MySql so that it can assist farmers in diagnosing the disease that is attacked. The application of an expert system in making decisions uses a forward chaining inference engine (forward reasoning) where cases are traced at the initial state so that goals will be found for the final results of diagnosing chili plant diseases. The results of the implementation of the system, namely the system provides questions in the form of symptoms that must be answered by farmers and the results of this process the system will provide information on what diseases attack plants and solutions for handling them

Title

Found 5 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 5 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 5 Documents
Search