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Pengetahuan Pemanfaatan Media Sosial Sebagai Media Pembelajaran Siswa - Siswi Sekolah Islam Imam Syafi'i Rengga Herdiansyah; Cholis Hanifurohman; Debby Rahadian Baskhara
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 10 : November (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The use of social media has become important in the daily lives of modern society, including students at the Imam Syafi'i Islamic School. This reflects major changes in the world of education, where information and communications technology, especially social media, is playing an important role in the way we learn and interact with each other. Educators consider community service programs to be very important in facing this digital era. As an educational institution, the Imam Syafi'i Islamic School has a big role in shaping the character and knowledge of its students. The success of the learning process in this school really depends on the ability of educators to keep up with technological advances, especially the use of social media. Preliminary analysis shows that Imam Syafi'i Islamic School students widely use social media, but further research is needed to incorporate it into the learning process further. Attention to the use of social media in education has increased in recent years. It is very important for educators at the Imam Syafi'i Islamic School to understand how to utilize social media in the learning process because research shows that it can increase student engagement, motivate them to learn, and enable them to work together. With this service to society, the main thing we want to help is how we can inform the students of Imam Syafi'i Islamic School about how to use social media as an effective learning tool and how best to use social media morally and productively. The main aim of this community service project is to increase the understanding of Imam Syafi'i Islamic School students about social media as an effective learning tool. The project also aims to provide guidance to educators on how best to incorporate social media into their daily activities. The output to be achieved in this community service is a national journal and online media.
Sistem Pakar Diagnosa Penyakit Pencernaan Pada Manusia Menggunakan Metode Forward Chaining Ramdan Alfarisi; Rengga Herdiansyah
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 03 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains (INPRESS)
Publisher : CV. Multi Kreasi Media

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Abstract

Cilogram sub-district is a sub-district located at the southern end of Lebak Regency. With the condition of the distance that is far from the center of the district government, it results in less even distribution of health services to the community. In the world of health, we know that there are several diseases that have long been the concern of medics and health experts, because many people suffer from them and some even result in death, one of which is a disease of the digestive system. This disease is a dangerous disease because it is directly related to the organ system in the body such as the stomach, intestines, and other organs in the digestive system. Digestive diseases are one of the focus problems in the Cilograng sub-district because many people are affected due to lack of attention to food health and nutrition-related counseling to the community. With the following problems, a new breakthrough is needed to help people get information related to digestive diseases, namely the existence of an Expert System. Expert system is one of the sub-fields of Artificial Intelligence (AI) that adopts human knowledge to computers in order to solve problems as experts usually do (Suryadi, 1994). And to facilitate inference of symptoms so as to find new facts from the symptoms consulted, this expert system uses the forwerd chaining method which starts with a search for known facts, then matches these facts with the IF part of the IF-THEN rules. If there is a fact that matches the IF part, then the rule is executed.
Sistem Pakar Mendiagnosa Jenis Penyakit Stroke Dirumah Sakit Mulya Tangerang Mengunakan Metode Certainty Factor (CF Irfan Septiansyah; Rengga Herdiansyah
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 6 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

Stroke is a brain attack that arises suddenly where there is partial or complete disruption of brain function as a result of disruption of blood flow due to blockage or rupture of certain blood vessels in the brain, causing brain cells to lack blood, oxygen or nutrients and Eventually the death of these cells can occur in a relatively short time. The lifestyle in question is a change in diet from consuming traditional home-cooked meals to consuming junk food or fast food that is fast paced, rich in fat, and delicious. As well as changes in lifestyle that used to be relaxed and calm to become rushed, not having breakfast or even lunch, not having time to socialize and exercise. The method used is the Certainty Factor (CF) method or the certainty value of a disease. The purpose of this research is to create an expert system software that is expected to help the public in diagnosing the type of stroke. The development of this expert system software includes analysis of software requirements which consists of analysis of user requirements, analysis of system requirements and knowledge engineering design where in the manufacture of this software engineering the data collected is represented as a knowledge base, decisions, rule base and inference engine design. Furthermore, system design, which designs the creation of process modeling consisting of context diagrams and Data Flow Diagrams (DFD), data modeling consisting of Entity Relationship Diagram (ERD) designs, Mapping Tables and table designs. The next process development is implementation using Sublime Text 0.3 and the final stage of system development is testing with the Black box Test. The results of the research are in the form of an expert system application program that is able to diagnose as many as 3 Stroke Diseases. The system output is in the form of a disease diagnosis complete with MB values, MD values and CF values obtained by calculations using the Certainty Factor method, causes and solutions.