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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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Web-Based Integrated Disaster Information System For Optimizing The Role and Function of The Data and Information Center (PUSDATIN) Badan Penanggulangan Bencana Daerah Kabupaten Sidoarjo Dini Aprilia Puspitasari; Ade Eviyanti
Procedia of Engineering and Life Science Vol 1 No 1 (2021): Proceedings of the 1st Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

The Data and Information Center (PUSDATIN) is the main facility for disaster management. Integrated data is the main support in determining disaster management policies. The purpose of research is to built an integrated disaster information system to optimize the function of PUSDATIN. The research method used was interviews and data collection. This system was developed using MySQL and Dreamweaver. There are 3 (three) user levels : user, admin and super admin. The result is an integrated disaster information system on web-based that can be accessed by anyone, according to the level of user, users can execute CRUD commands smoothly, data redundancies can be reduced, and optimization of BPBD resources by using PUSDATIN as 1 (one) gate data. The conclusion of this research is this web-based integrated disaster information system running well and has a positive effect on the performance of PUSDATIN as a traffic data center for disasters and fires.

Web-Based Expert System for Diagnosing Gastric Disease Using Bayes Theorem Method Ayu Anggilina; 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

Health is a very expensive thing, so it takes an awareness to protect it. The human body has many limbs, one of which is the stomach. Gastric disease is a disease that cannot be accommodated, because if left untreated it can cause other diseases to arise and can also cause death if it is not immediately supported. Gastric disease can be caused by an inappropriate diet, a burden on the mind and also an infection caused by bacteria. The author took the initiative to create a web-based gastric disease diagnosis expert system using the Bayes theorem method which is useful for gastric disease sufferers in diagnosing their own gastric disease. The method used by researchers is the Bayes theorem method. The data collection technique used is quantitative data techniques. The results that have been achieved from this research are that it can prevent and minimize the risk of gastric disease in sufferers or the community.

Website-Based Data Processing for Pregnant Women with the "Sejiwa Dengan Jempol" Innovation Program at the Jabon Health Center Muhammad Fajar Alfian; 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

For pregnant women, patient data is very important for the puskesmas, the patient data as a reference for each pregnancy consultation. such information regarding pregnancy data must be designed in a way that makes it easier to find patient data during pregnancy consultations for specific purposes. sejiwa information system, which is a system that can provide information during pregnancy consultation, nutrition for mothers and children in an agency company. the sejiwa information system is expected to make it easier for the community when pregnancy occurs and does not experience stunting, one of which is by presenting complete patient information and regarding the ongoing sejiwa with jempol innovation program at the jabon health center so that it can be reviewed at any time.

Application of Data Mining on Sales of Leather Handicrafts in Sidoarjo with Apriori Algorithm to Help Marketing Strategy Muhammad Alfin Firdiansyah; Yulian Findawati; Cindy Taurusta; 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

Sidoarjo is one of the regencies that is developing in a forward direction. This is known by the increase in the tourism sector and Small and Medium Enterprises. One of them is Sidoarjo leather handicraft. UD Qory Jaya is a business actor in the leather retail industry. Orders that continue to increase make the turnover of goods uneven resulting in a buildup of stock in stores. Due to these problems the compilers took the initiative to deliver messages by carrying out a method of processing data using the Apriori algorithm. This method is used to maximize the sales potential of a combination system of goods so that the target item for sale is appropriate. From the results of research conducted by testing a minimum support of 15% and a minimum of 20% confidence, the association rules are produced if you buy a slingbag then buy men's leather shoes and vice versa. And from the test results with a minimum support of 70% and a minimum confidence of 70% an association rule is not generated because the existing data does not exceed the minimum value of support and minimum confidence. With the implementation of this method, researchers hope to have a better impact for developing future marketing strategies based on previously researched data.

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (480.766 KB)

. 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.

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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