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The Influence of COVID-19 News for Religious Activities in Lampung using Apriori Algorithm Nadya Amalia Nasution; Fiqih Satria
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 4, No 2 (2021): JTKSI
Publisher : JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)

Show Abstract | Download Original | Original Source | Check in Google Scholar

The COVID-19 outbreak in 2020, which affected countries in the world, has become a phenomenon that has shaken social life, especially customs in Indonesia. The information about COVID-19 that people get from various sources, such as mass media, social media or word of mouth. Social distancing and calls for “just at home” are being increasingly informed by the government, along with the increase in COVID-19 sufferers in Indonesia, especially in the province of Lampung. Religious activities, especially Islam, which are full of togetherness, such as congregational prayers in mosques, and recitation are among the things that must be undone, along with the government's call to “worship from home” in order to stop the spread of COVID-19. This study seeks to reveal the relationship between information sources, understanding, and people's attitudes towards religious activities, with data mining techniques. That way, we can conclude which media are the most effective in conveying information. The data mining referred to in this study uses a priori algorithm. The priori algorithm is one of the classic data mining algorithms. A priori algorithms are used so that computers can learn association rules, looking for patterns of relationships between one or more items in a dataset. This research was conducted with survey data which were distributed in various districts and cities in the province of Lampung. The results of this study are that there is a connection, if people are afraid of the Covid-19 outbreak and get Covid-19 information through Instagram, they will be relatively obedient, and worship at home. These results can be used by the government in choosing the most appropriate channels/channels, to maximize the dissemination of information, namely through Instagram, especially for millennials.

APRIORI ALGORITHM FOR FINDING RELATIONSHIPS BETWEEN STUDENT SELECTION PATHWAYS SCHOOL DEPARTMENTS WITH STUDENT GRADUATION LEVELS Fiqih Satria; Muhamad Muslihudin; Nadya Amalia Nasoetion
Jurnal TAM (Technology Acceptance Model) Vol 12, No 1 (2021): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v12i1.1028

The selection process for New Student Admissions (PMB) of State Islamic Universities in Indonesia, especially at UIN Raden Intan Lampung for undergraduate (S1) programs, is pursued through 3 (three) different selection patterns. Selection of SPAN-PTKIN, UM-PTKIN, and UM independent. The three entry paths have their own character, according to their functions and objectives. With these differences, this study identifies the relationship between student entry pathways, majors/types of previous high-level schools with GPA scores, and the length of the study period of students. Data mining in this study is to uses a priori algorithm. The Apriori algorithm is one of the classic data mining algorithms. The a priori algorithm is used to determine the most dominant factor in predicting student graduation rates. A priori algorithms are used so that computers can learn association rules, looking for patterns of relationships between one or more items in a dataset. The data in this study were taken from student data in SIAKAD, namely the student data of Raden Intan Lampung State Islamic University (UIN), Islamic Community Development Department, Class of 2015, the data used included the type of school of origin, entry route, GPA, and length of time. study period. From the results of the research, it is found that the rules or regulations that graduate students with a study period of 4 years / less and a GPA of 3.51 - 4.00 are students who enter through the Academic Interest (PMA) search path and from their school of high school (SMAN) with Value Support. 14,286 and 60% confidence value. These results can be used by universities in encouraging students from other entry paths and from other schools to graduate on time, such as students who entered through the PMA route and from high school from SMAN with certain efforts.

LOVEBIRD BIRD DISEASE DIAGNOSIS EXPERT SYSTEM Yuli Cahyo Nugroho; Fiqih Satria
International Journal of Artificial Intelligence and Robotic Technology Vol 1, No 1 (2021): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Lovebird birds are one of the chirping birds that are being favored by the public today, apart from their melodious voice and beautiful color patterns. not a few breeders want to try to breed this type of bird, but some breeders who are just starting out tend to not understand what types of diseases can attack lovebirds. Farmers can even lose from this. Therefore, an expert system for diagnosing the disease of lovebird birds was created. The expert system for diagnosing lovebird birds is designed with a web-based application, while in the design it uses a Software Development Life Cycle, by taking a sample of the disease, namely dancing disease and with this disease diagnosis expert system it is hoped that it can help breeders know and deal with lovebirds that are affected by the disease. and also the percentage of results that are likely to occur will also be displayed in this expert system.

Prediksi Ketepatan Waktu Lulus Mahasiswa Menggunakan Algoritma C4.5 Pada Fakultas Dakwah Dan Ilmu Komunikasi UIN Raden Intan Lampung Fiqih Satria; Zamhariri Zamhariri; M Apun Syaripudin
Jurnal Ilmiah Matrik Vol 22 No 1 (2020): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Student graduation data is very important for universities because it is used in the accreditation process. Data continues to grow and is ignored because it is rarely used. Data of graduating students can provide useful information if processed optimally. This study processes data using data mining to obtain information in the form of a prediction of student graduation punctuality. The method used is the C4.5 algorithm. The criteria used are gender, regional origin, type of school origin, ranking and entry point. In its application, the C4.5 algorithm can be used in predicting student graduation times with a precision value of 70.70%, 60.4% recall, and 58.2% accuracy. In measuring the performance of the algorithm in pattern recognition or information retrieval it is recommended to use a minimum of two parameters namely precission and recall to detect bias, therefore in this study the F-Measure calculation is used. From the calculation of the F-Measure obtained a value of 71% which means that the C4.5 algorithm is considered good in classifying and predicting students who graduate on time

PENGEMBANGAN SISTEM INFORMASI PERPUSTAKAAN BERBASIS WEB PADA FAKULTAS DAKWAH DAN ILMU KOMUNIKASI UNIVERSITAS ISLAM NEGERI RADEN INTAN LAMPUNG M Husaini; Fiqih Satria
Jurnal Ilmiah Matrik Vol 24 No 3 (2022): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v24i3.2045

Abstract : The management of the process of borrowing and returning library books can take a lot of time and money because it needs to be recorded by librarian which must be done manually in the borrowing logbook. Utilization of a web-based library information system can save costs and time because the process is carried out using a computer. This study aims to: (1) create a web-based library information system at the Faculty of Da'wah and Communication Sciences, UIN Raden Intan Lampung, and (2) determine the quality standards of software developed based on ISO 9126 quality standards on functionality and usability aspects. The research method used is Research and Development (R&D). The software development process model used the waterfall model which consisted of: (1) requirements analysis, (2) design, (3) implementation, and (4) testing. Then used UML visual modeling, which is a standardized modeling language for object-oriented software development. The results of the study showed that: (1) a web-based library information system was developed using the Code Igniter framework and the waterfall development model consisting of the needs analysis stage, design stage, implementation stage, and testing stage, and (2) the test results on the functionality aspect obtained a value of 1 (good). Usability testing obtained user approval level of 77% (agree) with Cronbach's alpha value of 0.958 (excellent).

APRIORI ALGORITHM FOR FINDING RELATIONSHIPS BETWEEN STUDENT SELECTION PATHWAYS SCHOOL DEPARTMENTS WITH STUDENT GRADUATION LEVELS Fiqih Satria; Muhamad Muslihudin; Nadya Amalia Nasoetion
Jurnal TAM (Technology Acceptance Model) Vol 12, No 1 (2021): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v12i1.1028

The selection process for New Student Admissions (PMB) of State Islamic Universities in Indonesia, especially at UIN Raden Intan Lampung for undergraduate (S1) programs, is pursued through 3 (three) different selection patterns. Selection of SPAN-PTKIN, UM-PTKIN, and UM independent. The three entry paths have their own character, according to their functions and objectives. With these differences, this study identifies the relationship between student entry pathways, majors/types of previous high-level schools with GPA scores, and the length of the study period of students. Data mining in this study is to uses a priori algorithm. The Apriori algorithm is one of the classic data mining algorithms. The a priori algorithm is used to determine the most dominant factor in predicting student graduation rates. A priori algorithms are used so that computers can learn association rules, looking for patterns of relationships between one or more items in a dataset. The data in this study were taken from student data in SIAKAD, namely the student data of Raden Intan Lampung State Islamic University (UIN), Islamic Community Development Department, Class of 2015, the data used included the type of school of origin, entry route, GPA, and length of time. study period. From the results of the research, it is found that the rules or regulations that graduate students with a study period of 4 years / less and a GPA of 3.51 - 4.00 are students who enter through the Academic Interest (PMA) search path and from their school of high school (SMAN) with Value Support. 14,286 and 60% confidence value. These results can be used by universities in encouraging students from other entry paths and from other schools to graduate on time, such as students who entered through the PMA route and from high school from SMAN with certain efforts.

The Influence of COVID-19 News for Religious Activities in Lampung using Apriori Algorithm Nadya Amalia Nasution; Fiqih Satria
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 4, No 2 (2021): JTKSI
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v4i2.994

The COVID-19 outbreak in 2020, which affected countries in the world, has become a phenomenon that has shaken social life, especially customs in Indonesia. The information about COVID-19 that people get from various sources, such as mass media, social media or word of mouth. Social distancing and calls for “just at home” are being increasingly informed by the government, along with the increase in COVID-19 sufferers in Indonesia, especially in the province of Lampung. Religious activities, especially Islam, which are full of togetherness, such as congregational prayers in mosques, and recitation are among the things that must be undone, along with the government's call to “worship from home” in order to stop the spread of COVID-19. This study seeks to reveal the relationship between information sources, understanding, and people's attitudes towards religious activities, with data mining techniques. That way, we can conclude which media are the most effective in conveying information. The data mining referred to in this study uses a priori algorithm. The priori algorithm is one of the classic data mining algorithms. A priori algorithms are used so that computers can learn association rules, looking for patterns of relationships between one or more items in a dataset. This research was conducted with survey data which were distributed in various districts and cities in the province of Lampung. The results of this study are that there is a connection, if people are afraid of the Covid-19 outbreak and get Covid-19 information through Instagram, they will be relatively obedient, and worship at home. These results can be used by the government in choosing the most appropriate channels/channels, to maximize the dissemination of information, namely through Instagram, especially for millennials.

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