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All Journal Sainteks Jurnal Teknologi dan Manajemen Informatika Jurnal Informatika Telematika SMATIKA Jurnal Ilmiah KOMPUTASI Jurnal Pendidikan Informatika dan Sains INTEGER: Journal of Information Technology Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Teknoinfo Martabe : Jurnal Pengabdian Kepada Masyarakat JURTEKSI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika JSAI (Journal Scientific and Applied Informatics) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Zonasi: Jurnal Sistem Informasi Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Computer System and Informatics (JoSYC) Infotek : Jurnal Informatika dan Teknologi Indonesian Journal of Cultural and Community Development Community Empowerment Indonesian Journal of Innovation Studies Indonesian Journal of Public Policy Review Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Prosiding University Research Colloquium Malcom: Indonesian Journal of Machine Learning and Computer Science JOINCS (Journal of Informatics, Network, and Computer Science) Innovative Technologica: Methodical Research Journal Physical Sciences, Life Science and Engineering Indonesian Journal of Applied Technology Journal of Social Comunity Services Journal of Technology and System Information Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Journal for Technology and Science Jurnal Farmasi Galenika IJHCS

Ade Eviyanti

Universitas Muhammadiyah Sidoarjo

Author-ID : 1784539

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Transportation

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Articles

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Android-Based Applications for Children's Leaf Recognition Learning Teguh Hardianto Putra; Ade Eviyanti
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Indosesia is a country with abundant natural wealth. Almost all types of plants can be grown in the territory of Indonesia. Most have been used in the past to treat various diseases. Therefore, the author wants to design and build a leaf recognition learning application in android-based children that aims to make the younger generation know the diversity of plant leaves in the surrounding environment, in order to make the younger generation understand the need to care for and maintain the natural environment and knowledge about plants that are very important for human life, especially for human health, among others, traditional medicine that is now beginning to fade. This application has ease of use because it has an easy to understand design and a menu that is easy to understand by all people in accessing this application. In this study the author used waterfall method as the process or flow of the research to be done. The test results of the application that has been created get the result that all features and functions of the system can run according to what has been designed. In addition, the author also conducted tests using the UAT method to get a result of a percentage value of 96% so that it can be concluded that this application can be accepted by users.

Expert System Diagnosing Stroke Disease Using Android-Based Bayes Theorem Method Muhammad Arif Fa’i; Ade Eviyanti
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

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. In the current era there are still many people who are not routinely even reluctant to do sports and unwittingly such a lifestyle is stimulating bias for stroke. Moreover, coupled with the character of citizens who are reluctant to spend money and also take the time to go to the doctor to consult about his health. And also there are still many residents who underestimate some of the symptoms that can stimulate stroke. Stroke if left untreated and not immediately taken to an expert doctor can also have an impact on cell death in the brain so that it can cause paralysis of part of the limbs, if it has become severe can also result in death. Therefore, the authors of this study aimed to create an android-based application that can diagnose the potential of a person with stroke, which later from the diagnosis using this application is expected to help in taking further medical action if it has the potential of stroke. The test results using the blackbox method got the result that all the features and functions of the system run according to what has been designed. The author also conducted tests using the UAT method to get the results that the application has an attractive look, the diagnosis menu is very useful for users, the data of disease symptom information is informative, and also easy to use.

Expert System for Diagnosing Early Symptoms of Stroke Using the Fuzzy Mamdani Method Sylfanie Sekar Mayang; Ade Eviyanti
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

One of the dangerous diseases is stroke because it can disrupt the nervous system system in humans so that sufferers of this disease often experience paralysis in their body parts. Therefore, an application is needed to assist medical personnel when doctors are not available or are not on duty. Expert system applications are needed in early diagnosing the characteristics of the disease suffered by a patient. Expert systems are computer-based systems that use knowledge, facts and reasoning techniques to solve problems. The purpose of this study is to make it easier for researchers to identify problems with stroke based on the symptoms experienced by the patient or a person. The research method used is the fuzzy mamdani method. Data collection techniques are quantitative data techniques. The results that have been achieved from this study are that it can prevent and reduce the risk of stroke that can occur as early as possible in sufferers or the community and reduce the death rate in stroke patients.

Expert System for Diagnosing Liver Disease Using Web-Based Bayes Theorem Method Metode Fandy Rachmatulloh; Ade Eviyanti
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Many people still do not know the risks, prevention, and treatment solutions related to liver disease. Therefore, many Indonesian people are affected by liver diseases such as hepatitis and other liver diseases because they are not aware of the symptoms they are experiencing. Therefore, this expert system is designed to help diagnose the symptoms experienced by people or patients who have liver disease. With this expert system, it can help overcome delays in handling so that it is not severe later. This expert system is created using the Bayes theorem method where in each symptom there is a probability or possibility which then gets the final result in the form of how big the event occurred. This expert system diagnoses the symptoms selected by the patient. After that, get the value of the possibility of a disease suffered by the patient. The results of this study are to produce an expert system for diagnosing liver disease using the website-based Bayes theorem method. This system can help diagnose a patient’s symptoms quickly and is used anywhere.

Gynecological Disease Diagnosis Expert System Using the Web-Based Dempster Shafer Method Lola Herawati; Ade Eviyanti
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Uterine disease is a disease that generally attacks female reproduction. Most women know a disease that is in their womb when the disease is declared severe or so-called advanced stage. With this expert system, it is hoped that human uterine diseases can be detected early and can minimize the occurrence of more dangerous diseases. The method used in this expert system is the Dempster Shafer calculation method. This expert system works by entering the symptoms experienced by the patient after which the system will work according to the calculations determined by the expert who entered the knowledge base. The result of this research is to build an expert system for diagnosis of gynecology using a website-based dempster shafer. This website can be used as the use of technology so that it can be used to diagnose uterine diseases precisely and accurately, so that people with gynecological diseases are handled more quickly from an early age.

Expert System To Identify Insomnia Problems In Adults Using Forward Chaining Method Ayu Dwi Ratna Ningsih; Ade Eviyanti
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Insomnia is a symptom that is often experienced by adults of productive age, such as having difficulty starting to sleep, often waking up at night. With the development of technology, most of the jobs have involved technology. Expert systems are artificial intelligence that is growing rapidly in the world of technology. With an expert system, a person can be helped according to their needs when it is difficult to meet directly with the expert. The purpose of this study was to make it easier for researchers to identify insomnia problems based on the symptoms experienced by the adults around them. The research method used is the forward chaining method. while the data collection technique is quantitative data technique. The desired result of this study is the reduction of a person affected by insomnia problems and the Expert System can provide solutions to reduce Insomnia Problems such as relaxation music before consulting a doctor.

Video Conference Application with File Attachment Dini Yocta Prabayanti; Ade Eviyanti
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Communication today is a human need as a social creature. In accordance with technological advances, communication can be in the form of instant messages such as WhatsApp, telegram and video converence, video converence services can communicate face- to-face with other users. Video converence in the most popular appstore and playstore, namely zoom meetings. Zoom meting makes it easy for users to create and schedule online meetings. the application is not equipped with file sharing services. In this case, users find it difficult to send files to other users who join the online meeting. The video converence application with a file attachment makes it easy in the morning for online meeting users to create, schedule and share files into online meetings. It is hoped that with this application users can easily share files in online meetings. This system is made with a simple interface design that is easy to understand for using the application. The purpose of this research is to make it easier for people to conduct online meetings. The method used is the waterfal method, while the data collection technique is quantitative data technique. The desired result of the research is to make it easier for people to conduct online meetings and send data through this application without having to open another application.

Expert System for Diagnosing Human Skin Diseases Using Web-Based Naïve Bayes Method khoirunnisa devita sari; Ade Eviyanti
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Skin disease is a disease that often found in tropical countries like Indonesia. According to the survey, skin disease is the third of the ten most outpatient diseases. Lack of public knowledge about skin diseases and how to prevent and treat them can cause a person to develop acute skin diseases. The purpose of this research is to create an expert system application for diagnosis of human skin diseases using the web-based naïve Bayes method. With expert system, it hoped that human skin diseases can be detected early and can minimize the occurrence of more dangerous diseases. The calculation in this expert system uses the naïve Bayes method. This expert system makes diagnosis by analyzing input of symptoms experienced by patient and then processing it using certain rules according the expert knowledge that has been stored in the knowledge base. The result of this research is to build an expert system for diagnosing human skin diseases using website-based naïve Bayes. The results of the system trial of 20 respondents were the website could provide diagnosis results based on the inputted rules and could diagnose skin diseases properly. This website can used as an alternative use of technology so it can be used to diagnose skin diseases quickly, precisely and accurately. So in the future the handling of skin diseases can be faster and more efficient.

Expert System For Diagnosing Diseases In Children Under Five Uses Certainty Factor Based Websites Faiqotul Himma Ramadhanti; Ade Eviyanti
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Immunity in children under five is not as good and perfect as adult immunity. Therefore, children under five are susceptible to disease and easily contracted by adults. Lack of knowledge about the symptoms of a disease that attacks children under five can aggravate the situation and result in delays in treatment by medical personnel. Therefore, this expert system is made to make it easier for parents to recognize the symptoms of diseases that attack their toddlers. With this expert system, parents can find out the early symptoms of the disease that attacks their child. In making this expert system using a certainty factor method or a method that defines the measure of certainty of facts or rules to describe an expert's belief in the problem at hand. This expert system will diagnose the symptoms that the patient has previously selected. Then from the choice of these symptoms will be obtained using the value of expert confidence that has been stored in the knowledge. The results of this study were to build an expert system for diagnosing diseases in children under five using a certainty factor method based on a website. With this website, we can take advantage of today's technology to diagnose diseases in children under five. This website can make it easier for parents to consult because they can use it anywhere, effectively and quickly.

Designing Web Based Offering and Sales Information System (Case Study : PT. Daya Berkah Sentosa Nusantara) Siti Nurjanah Ramadhany; Ade Eviyanti
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Technology is increasingly sophisticated with over time competition in the business world such as E-Commerce has a positive impact on entrepreneurs to advance their companies, namely by creating online websites so that offerings and sales are easy among the public. By accessing the website page of PT. Daya Berkah Sentosa Nusantara buyers do not have to come directly to the place or company, and send offers according to admin needs.The purpose of this study is to make it easier for researchers to solve supply and sales problems based on problems that arise in the company. The method used in this study is the Waterfall Method, with data collection techniques used using observation, interviews and literature study. The desired result of this research is to be able to create a website for the company, to be able to expand marketing reach, buyers can view products through the website.

Co-Authors Abdiansah, Lutfi Abror, M Abror, M. Achmad Alfian Fajriansyah Adam Putra Adi Putra, Lutfi Agil Fajar Dwi Prasetyo Agustin, Erlina Ahmad Muflih Aisha Hanif Aliful Fatikh Pulunggono Suseta Alim, Kholqi Aminy, Ritzana Aisyah Andriani Eko Prihatiningrum, Andriani Eko Anggraeni, Anifah Warda Anjasmara, Dimas Bayu Arif Senja Fitrani Arif Senja Fitrani Astutik, Ika Ratna Indra Ayu Anggilina Ayu Dwi Ratna Ningsih Azizah, Nurul Lutfi Busono, Suhendro Chulloh, Dafid Mizta Cornelius, Cornelius Damasta, Ifanda Reza Deby Kurniawan Armananda Diba, Naila Farah Dimas Sya’aldi Pasa Dini Aprilia Puspitasari Dini Yocta Prabayanti Dona Ardiansyah Dulkarnain, As’ad Dwi Cahyono, Qitfirul Erika Anjani Putri Eriyanto, Sandi Eko Faiqotul Himma Ramadhanti Fanani, Muchammad Ichsanuddin Fandy Rachmatulloh Fitrani, Arif Senja Fuad Azis Muslim Ghozali, M Fahruddin Ginanjar Agung Sudrajat Guko, William Yviis Hamid, Moch Siddiq Hamzah Setiawan Hasan, Jamal Hazmi Ramadhan Al fatri Hendri Hermawan Hermawan, Tunggal Hibatullah Putra, Dimas Radito Hindarto Ika Ratna Indra Astutik Imanda, Almyra Gitta Indah Kurniawati Indra Astutik, Ika Ratna Indrawati, Marcella Intan Mauliana, Metatia khoirunnisa devita sari Lazuardi, Fajar Lola Herawati Luqmanul Hakiym Maulana M Fahruddin Ghozali Makhfudzoh, Fury Maulana, Mahardika Rafi Mauliana, Metatia Intan Ma’ruf , Mohammad Rizal Miftahurrohmat, A Miftakhurrohmat, A. Moch Alfan Rosyid Mochamad Alfan Rosid Mohammad Fadli Zaka Mohammad Rizal Ma'ruf Muchammad Bagus Sasmita muchammad david mahendra Muhammad Alfin Firdiansyah Muhammad Arif Fa’i Muhammad Fajar Alfian Naufal Raihan naufal Nisa, Umi Khoirun Nouval Aulia Rachman Novia Ariyanti Nuril Lutvi Azizah Octavia, Elga Padova Bima Maldini Pranatadityo, Billy Prasetyana, Dwi Gilang Ramadhan Pratama, Hepi Yoga Pratama, Robby Pratiwi, Rosa Machmuda Putra F, M. Bagus Putra, Fariq Abdillah Maulana Putri, Revanda Silva Astianto Ramdansyah, Adiffanani Reyhan Haqiqi Alif Fourniawan Rizki, M. Alvan Rohman Dijaya Rozzaq, Muhammad Rukhi Alfian, Muhammad Saiful Arifin Saiful Arifin Salsabil, Muhammad Saputra, Abhirama Senja Fitrani, Arif Setiawan, Hamzah Shiddqy Hidayat, Syahril Shierly Mayco Angela Siti Nurjanah Ramadhany Suhendro Busno Suhendro Busono Sukma Aji Sumarno , Sumarno Sumarno . Sumarno Sumarno Syaifudin, Hilmi Fajar Sylfanie Sekar Mayang Tasya Gusti Amalia Taurusta, Cindy Teguh Hardianto Putra Uce Indahyanti Umi Khoirun Nisak Vevy Liansari via nabila banda Viarini, Dina Dwi Okta Wardani, Gita Wijayanto, Moch Eri Witno, Kasaifi Al Qurdhowi Bin Wulandari, Alidza Septiam Yanita Wardhani Yulian Findawati Yunianita Rahmawati, Yunianita Yuzefa, Hihaniza Lela Zahputra, Aldy Trisza Zaka, Mohammad Fadli

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