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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal SOLMA JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Ilmiah Sinus Jurnal Informatika Kaputama (JIK) Jurnal Mantik Jurnal Informasi dan Teknologi JTIK (Jurnal Teknik Informatika Kaputama) G-Tech : Jurnal Teknologi Terapan Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Jurnal Tika Multica Science and Technology JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence Indonesian Community Journal Sisfo: Jurnal Ilmiah Sistem Informasi SAGA: Journal of Technology and Information Systems Journal Of Artificial Intelligence And Software Engineering Jurnal Medika: Medika Science: Indonesian Journal of Science

Ananda Faridhatul Ulva

Universitas Malikussaleh

Author-ID : 2546702

Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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IMPLEMENTASI MACHINE LEARNING DENGAN MODEL CASE BASED REASONING DALAM MENDIAGNOSA GIZI BURUK PADA ANAK” Mutammimul Ula; Ananda Faridhatul Ulva; Mauliza Mauliza
Jurnal Informatika Kaputama (JIK) Vol 5, No 2 (2021): Volume 5, Nomor 2 Juli 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jik.v5i2.570

Upaya pencegahan permasalahan stunting kepada masyarakat khususnya pada ibu-ibu dengan pemberian masukan khususnya masyarakat aceh utara akan pentingnya pemenuhan gizi pada balita agar terhindat dari stunting. Kekurangan gizi menjadi pokok permasalahan yang dialami balita di Indonesia. Peran Rumah Sakit dan Dinas Kesehatan diperlukan dalam melihat jumlah gizi buruk pada balita khususnya di Aceh. Dalam penelitian ini penting dilakukan implementasi machine learning dengan model case based reasoning dalam mendiagnosa gizi buruk pada anak dalam melihat pengelompokkan balita yang teridentifikasi stunting atau tidak dengan menggunakan teknologi system pakar Case Based Reasoning yang dimodelkan dalam dalam mesin learning yang dilihat dari data riwayat gizi yang kemudian dimasukkan kedalam model pengujian Machine Learning dalam mendeteksi gizi buruk pada balita. Hal ini dapat mengurangi stunting yang ada di setiap wilayah, gampong dan kecamatan dari tiap Puskesmas yang ada di kabupaten aceh utara. Tujuan Penelitian ini adalah Untuk mengetahui pendeteksian gizi buruk balita pada Rumah Sakit Cut Meutia Kab. Aceh Utara. Hasil penelitian ini adalah dapat mendiagnosa gizi buruk pada balita dengan menggunakan metode casedbase reasoning dan hasil sistem yang dibangun dapat digunakan sebagai acuan untuk memantau tumbuh kembangnya bayi/balita. adapun variabel yang dimasukkan adalah nama, umur balita, jenis kelamin, tinggi badan dan berat badan, kemudian machine learning mencari kasus yang terdekat untuk melihat nilai yang paling mendekati dalam problem stunting. hasil nya adalah Nilai nya adalah Similarity (x, K001) 1,00, Similarity (x, K008), 0,66Similarity (x, K010), 0,64.

Implementation of Machine Learning in Determining Nutritional Status using the Complete Linkage Agglomerative Hierarchical Clustering Method Mutammimul Ula; Ananda Faridhatul Ulva; Mauliza Mauliza; Ilham Sahputra; Ridwan Ridwan
Jurnal Mantik Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Problems that often occur in the nutritional status of children can be done prevention in the form of input to the people of north Aceh on the importance of fulfilling nutrition in toddlers in order to avoid stunting. Lack of nutrition is one of the causes of problems experienced by toddlers in north Aceh. The role of local governments, hospitals and health services is needed in looking at the amount of nutritional status of children, especially areas in northern Aceh. This research aims to be able to determine the nutritional status of toddlers and can provide convenience for hospital officials and doctors in handling gradually and how to treat on a scale in diagnosing diseases with child nutritional status. The first method of this study is to group toddlers identified nutritional status of children who are classified as stunting or not and then grouped areas that are malnourished children using hierarchical agglomerative models. The results of this study can diagnose nutritional status in children with Machine Learning using complete linkage agglomerative hierarchical clustering whose final results can see areas prone to stunting. The data to be modeled consists of 12 sub-districts with samples taken in the form of the number of cases of baktiya 12, dewantara 21, kuta makmur 83, meurah mulia 84, jambo aye 87, nibong 83, sacred store 68. the process of complete linkage agglomerative hierarchical clustering Baktiya method from Scaling Data (standardization)-1.344354111, Kuta Makmur1.376783706, Meurah Mulia 1.415109591, Cot Girek -0.462858762, Simpang Kramat0.801895435, Nisam Antara0.648591896. Based on the results of distance calculations, Prosedure was carried out up to 11 times resulting in cluster groups of 3,21,7,14.15 with a result of 0, clusters 17,23,8,13,18,20,11 with results of 1.6628305 and 1.4,10,19,26,2,9,5,12 with a value of 2.720995. The final calculation of 19,26,1,4,10 is 2.11633.

Perbandingan Algoritma Flyoid Warshal Dan Djikstra Menentukan Jarak Terdekat Aplikasi Pencarian Pemesanan Rumah Sewa Berbasis Mobile Ananda Faridhatul Ulva; Mochamad Ari Saptari; M Taufiq Hariadi
Jurnal Tika Vol 7 No 1 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

A rental house is a type of rental that is rented out (contracted) for a certain period of time at a price agreed upon by the owner of the room. Lhokseumawe City as a district that has several State Universities and the presence of large companies, such as Perta Arun Gas and PIM made many other residents from other cities look for a place to live in Lhokseumawe City. The difficulty and lack of information about a rental house for new residents makes it difficult for them to find a rental house that is comfortable for them, some are even far from where they are studying. The difficulty of newcomers in getting information about rental houses in Lhokseumawe City provides an overview by researchers to research a system for searching for rental houses in Lhokseumawe City based on mobile. The system development method to build this application uses the SLDC principle, namely the waterfall, where this method uses the concept of a waterfall, performs sequential development that is dynamic and structured in building a software, with a system requirements analysis process, system design, coding, testing, and implementation. Based on the trials that have been carried out, using the Floid Warshall and Djikstra algorithms in determining the shortest route to the rental house, Flyod Warshall is the most optimal search algorithm in the results of determining the shortest distance, with the smallest optimal number of distances compared to Djikstra. It is hoped that in the future this application can be updated with the concept of other shortest distance comparison methods, so as to get more optimal results in implementing the system.

APLIKASI GAME PUZZLE HURUF HIJAHIYAH UNTUK ANAK-ANAK BERBASIS ANDROID Ananda Faridhatul Ulva; Chairul Akbar
JTIK (Jurnal Teknik Informatika Kaputama) Vol 5, No 2 (2021): Volume 5, Nomor 2 Juli 2021
Publisher : STMIK KAPUTAMA

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

Mobile device technology is growing rapidly, especially with the emergence of smartphones with the Android operating system. Users in this case can download various basic applications available easily on the google play store. But most of them are available in less educational game form. In fact, it often has negative consequences for users, especially for children who are still unable to distinguish positive and negative. Early childhood education stages tend to be interested in games that are easy to play and have an attractive visual appearance with a variety of colors and varied images that attract attention. This stage will also make it easier to remember the lesson. Therefore, researchers made a puzzle game application that can provide entertainment and education to users, especially children. This android based hijaiyah letter puzzle game application was built using Construct 2 converted with Phonegap into an Apk file. The application of this application is by installing a puzzle game application on a smartphone with the specifications of the Android operating system version 5.1+ (lollipop).

APPLICATION OF MACHINE LEARNING WITH THE BINARY DECISION TREE MODEL IN DETERMINING THE CLASSIFICATION OF DENTAL DISEASE Mutammimul Ula; Fajar Tri Tri Anjani; Ananda Faridhatul Ulva; Ilham Sahputra; Angga Pratama
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.v6i1.7341

The dangers of health problems in dental disease are common for children and adults. Many dental problems get priority treatment based on data from Riskesdas, about 67.6% of the Indonesian population suffers from dental and oral problems. This affects other parts of the organ that are interrelated. Therefore, this study formulates how to solve the determination of dental disease, by applying the UDB model in machine learning. The purpose of this study was to determine the application of machine learning Binary Decision Tree (BDT) in the classification of classified dental diseases identified by decision trees in determining the results of dental disease predictions including groups and how to solve them. The research methodology in the first stage of data collection was carried out directly with the dental clinic at Cut Meutia Lhokseumawe Hospital. Then input the dental disease data along with the dental disease symptom data. The final stage is dividing the attribute values in viewing the value at a predetermined branch which is then in the form of a decision tree as a reference for the final prediction. The results of the assessment have each value indicating a high level of accuracy, with an accuracy of 92 percent and an inaccuracy of 8 percent of the 40 data points tested. Furthermore, the conclusion of this study can produce an appropriate classification of dental disease and is able to produce accurate results seen from a small error rate

Inovasi 3D Virtual Reality Exhibition dalam Konsep e-Marketplace untuk UMKM Binaan MUI Menggunakan Metode Occlusion Based Berbasis Web dan Mobile Ananda Faridhatul Ulva; Rizky Putra Fhonna; Hafizh Al Kautsar Aidilof; Muzakir Nur; Muhammad Zikri
G-Tech: Jurnal Teknologi Terapan Vol 6 No 2 (2022): G-Tech, Vol. 6 No. 2 Oktober 2022
Publisher : Universitas Islam Raden Rahmat, Malang

Konsep Virtual Reality dengan animasi 3 Dimensi menjadi sebuah inovasi pada kegiatan pameran secara online pada saat pandemic.Tujuan dari penelitian ini adalah sebuah penerapan racangan 3D pada sebuah platform pameran dengan konsep marketplace di 3D Virtual Reality. Adanya penerapan Occlusion Based untuk membangun e-Matketplace sehingga konsep 3D Virtual Exhibitionnya hidup. Sehingga sistem pameran akan terlihat nyata, terlihat adanya animasi, sebuah konsep gedung, dan ada sistem manajemen web backend sehingga mudah dalam mengkontrol sistem aplikasi ini nantinya. Metode Pengembangan sistem yang cocok dalam pengembangan aplikasi ini adalah dengan metode ADDIE yaitu Analysis, Design, Development, Implementation, and Evaluate. Dari hasil yag dirancang didapat sebuah konsep pameran dengan suguhan berbeda, dan banyak konsumen yang tertarik dengan konsep virtual reality. Karena konsep ini dibangun dengan metode Occlusion Based sehingga menjadikan sistem pameran ini seperti nyata.

APPLICATION OF MACHINE LEARNING IN DETERMINING THE CLASSIFICATION OF CHILDREN'S NUTRITION WITH DECISION TREE Mutammimul Ula; Ananda Faridhatul Ulva; Mauliza Mauliza; Muhammad Abdullah Ali; Yumna Rilasmi Said
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.599

The problem of nutrition for children is a health problem that must be solved by the government. Malnutrition is a very important problem in the development of children, especially during the growth period. Lack of nutritional intake in children will have a negative impact on resistance to the virus. This will risk death caused by malnutrition. There is direct monitoring from the government, hospitals, and health offices in looking at the classification of nutrition in children in a system. This study aims to classify the nutritional status of children using a machine learning model, which then the final result can show the classification of nutritional vulnerability in each patient at the North Aceh Hospital. The stages of the research include the identification of theories about nutritional problems. Second, data collection is in the form of symptoms and diagnosis of disease classification in machine learning implementation. The third is to analyze the data using the research and development (R&D) method according to the classification of children's nutrition. Finally, the implementation of the patient classification model with decision tree into machine learning The variables included in the system include JK(X1), U (X2), BB(X3), TB (X4), and BB (X3), which are the variables that have the most influence on malnutrition in children. The results of this study for testing weight 16, height 9.7, age 33 months, nutritional value 54,23772 which the program output results are normal. Patient Syafira Nisman, weight 9, height 72, age 21 months, suffered from malnutrition. The results of the research on the application of machine learning for the classification of malnutrition using the decision tree method make it easier for patients and hospitals to classify children's nutrition.

Aplikasi IoT Pemantauan Detak Jantung Pasien Lansia Beresiko Tinggi di RSCM Cut Mutia Lhokseumawe Berbasis Mobile Ananda Faridhatul Ulva; Nurdin; Rizky Putra Fhonna; Desvina Yulisda; Muzakir Nur; Rizki Setiawan
G-Tech: Jurnal Teknologi Terapan Vol 7 No 1 (2023): G-Tech, Vol. 7 No. 1 Januari 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Monitoring the health of the elderly is very necessary, this monitoring must be carried out periodically and in real time using a genetic algorithm, so as to increase the guarantee of the safety and welfare of the elderly population and can be a preventive action to anticipate things that you want to avoid. However, sometimes the distance between the patient and RSCM Cut Mutia Lhokseumawe is quite far, and handlers are not responsive enough to make it difficult for elderly families to receive early treatment. The method for creating an IoT application for monitoring elderly heart rate using the waterfall method, for a decision-making system for high-risk patient systems using a Genetic Algorithm. The expected result of this application is remote monitoring with rapid response in the form of an IoT Heartbeat tool that is used in the elderly, so that if elderly patients experience heart failure, the system will quickly respond to receive messages about what is felt by the elderly, through the IoT style used elderly and decision making system using a genetic algorithm

Sistem Pusat Informasi Spasi Berbasis Android Studi Kasus Program Studi Sistem Informasi Universitas Malikussaleh Ananda Faridhatul Ulva; Angga Pratama; Yunia Silfitri
Jurnal Tika Vol 6 No 03 (2021): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Information is data that is presented in a more useful form that is used to make decisions. In the Information Systems Study Program, information is very important to improve the performance of the Study Program, but the problem that often occurs is the lack of services to obtain and convey information, this makes it difficult for students and lecturers to find out the latest information and information about academics. Therefore, we need an application that can be used by students and lecturers to obtain and convey information. The information displayed is in the form of student and lecturer profile information, information about final project students, practical work students, real work college students, lecture schedule information and teaching schedules as well as information that can be added by lecturers in the application which can later be seen by all users. This android-based mobile programming application was built using the programming language dart. The design tool used is a unified modeling language (UML) with the system development method using the method waterfall. With this application, the Study Program has more effective information media and can assist students and lecturers in obtaining and conveying information easily anytime and anywhere

Aplikasi Pemantauan Kesehatan Pada Lansia Resiko Tinggi Menggunakan Algoritma Genetika Berbasis Smartphone Android Di Rumah Sakit Cut Mutia Lhokseumawe Rizki Setiawan; angga pratama; Ananda Faridhatul Ulva
Jurnal Tika Vol 7 No 2 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Health is the most important thing that must always be considered because if health deteriorates then every activity will definitely be difficult to do, but not infrequently due to some conditions we have to fall sick and even have to get intensive care so that it requires further supervision from the hospital or hospital. Puskesmas, especially for elderly family members who require special care and attention. Health monitoring applications in the elderly provide convenience for families in caring for the health of family members who are elderly and also make it easier for the hospital to see progress data from patients. This research is in the stage of making the availability of real-time monitoring features from the puskesmas or hospital in the future and some features are available and there are some real-time medical record features so that the hospital can find out the health history of the patient in real time. The purpose of this research is to implement and build an application for Health Monitoring in the Elderly at High Risk with an Android-Based Genetic Algorithm. then apply the genetic algorithm method in determining health in high-risk elderly. The menu on the application includes patient data, consultation page, examination results page, doctor data, patient data, type of disease, medical records, handling, complaints page, patient profile page, healthy food page. Furthermore, it makes it easier for families and hospitals to treat patients because there are medical record features and Android-based high-risk elderly patient monitoring features. Then the results of this study are smartphone-based health application technology for health surveillance applications in the elderly based on Android. The last is to make it easier for family members and the puskesmas in conducting health surveillance of the elderly

Co-Authors Abdi Zulfikri Alimul Haq, Nur Amalia, Fatihah Indah Andriani, Dela Angga Pratama Angga Pratama Apriyulida, Fitri Aulia, Keysha Bahrul Ulumul Haq Chairil Anwar Chairul Akbar Cut Meurah Nurul ‘Akla Dahlan Abdullah Desvina Yulisda Dhani, Saniah Eka Susanti Eka Susanti Eza Pradanta Sitepu Fadhliani Fadhliani, Fadhliani Fajar Tri Tri Anjani Fidyati, Fidyati Habib Muharry Yusdartono Hafizh Al Kautsar Aidilof Himmatur Rijal Ikhwani, Muhammad Ikhwani ilham - sahputra Ilham Saputra Ivan Maulana Kurniawati Kurniawati Lianita, Ervi M Taufiq Hariadi Masriadi Maulida Hasbi Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza, Ade Mochamad Ari Saptari Muhammad Abdullah Ali Muhammad Abdullah Ali Muhammad Zikri Mukti Qamal Munirul Ula Mutammimul Ula Muzakir Nur Nazimah Nazimah Nunsina, Nunsina Nur Alimul Haq Nur, Muzakir Nurdin Nurdin Nurhasanah Nurhasanah Nurhasanah Rahma Fitria Rahma Fitria, Rahma Reyhan Achmad Rizal Ridwan Ridwan Rizki Setiawan Rizky Putra Fhonna Saptari, Mochamad Ari Setiawan, Rizki Sinambela, Reza Syahputra Syafitri, Siska Aulia Ulumul Haq, Bahrul Wardana, Ade Bagus WULANDARI Yesy Afrillia Yulisda, Desvina Yumna Rilasmi Said Yumna Rilasmi Said Yunia Silfitri yusliana, yusliana Zahratul Fitri, Zahratul Zuhra, Elviza

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