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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Ilmiah Sinus Jurnal Informatika Kaputama (JIK) Jurnal Mantik JTIK (Jurnal Teknik Informatika Kaputama) G-Tech : Jurnal Teknologi Terapan Jurnal Tika Multica Science and Technology Indonesian Community Journal Sisfo: Jurnal Ilmiah Sistem Informasi The Indonesian Journal of Computer Science
Ananda Faridhatul Ulva
FakultasTeknik Universitas Malikussaleh Lhokseumawe
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering 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

Abstract

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 USING THE K-NEAREST NEIGHBOR CLASSIFICATION MODEL IN DIAGNOSING MALNUTRITION IN CHILDREN Mutammimul Ula; Ananda Faridhatul Ulva; Ilham Saputra; Mauliza Mauliza; Ivan Maulana
Multica Science and Technology Vol 2 No 1 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i1.326

Abstract

The problem faced today is the lack of nutrition for children which causes stunting. One way to prevent stunting problems is to provide input to the community in Aceh for the importance of providing adequate nutrition for children. This study classifies toddlers who are identified as stunting with the K-NN model technology which is modeled in machine learning, the results are grouped. The purpose of this study was to determine the detection of malnutrition in toddlers and to classify data on malnutrition in toddlers using the k-means clustering method and the system that was built could be used as a reference to monitor the growth and development of children. Then in classifying malnutrition in children based on the results of the nutritional status criteria in toddlers, it can be known based on the index of Body Weight for Age (W/U), Height for Age (TB/U), and Weight for Height (W/TB). by entering data values ​​from weight, height and gender of toddlers. The purpose of this study was to determine the detection of malnutrition under five at the Cut Meutia Hospital Kab. North Aceh. The process in the initial data analysis of Mr. ID, baby's name, gender, age, weight (kg), height (cm), the data to be classified for training data are 40 children in each region / village. In the assessment of nutritional status, it is classified as Malnutrition less than 3 SD or 70%, Malnutrition - 3 SD to < - 2 SD or 80%, Good Nutrition -2 SD to +2 SD, Over Nutrition >+2 SD. The results of the final score obtained are euclidean distance with a value of 1.3 with a ranking of malnutrition, age 1.6 months, weight (weight) 0.852, TB (height) 4.556 with euclidean distance with a value of 1.3 with a low ranking. For the second test data, age is 2.8 months, BB (weight) 0.222, TB (height) 4.556 with Euclidean distance with a value of 1.3 with a good rating of 0.778. The results of this study can be classified in children to children for each region in each region, village and sub-district of each Puskesmas in North Aceh Regency
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

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (677.975 KB) | DOI: 10.51179/tika.v7i1.1077

Abstract

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

Abstract

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).
ANALISIS TINGKAT KEMAMPUAN (CAPABILITY LEVEL) TEKNOLOGI INFORMASI PADA PT. PLN (PERSERO) UIW ACEH UP3 SUBULUSSALAM MENGGUNAKAN FRAMEWORK COBIT 5 DOMAIN DSS (DELIVER SERVICE, AND SUPPORT) Yusliana Yusliana; Mochamad Ari Saptari; Ananda Faridhatul Ulva
Sisfo: Jurnal Ilmiah Sistem Informasi Vol 4, No 2 (2020): Sisfo: Jurnal Ilmiah Sistem Informasi Volume 4, Nomor 2, Oktober 2020
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v4i2.6294

Abstract

Analisis teknologi informasi diperlukan COBIT 5 sebagai salah satu sarana untuk membantu perusahaan menciptakan nilai yang optimal dalam mengelola tata kelola teknologi informasi dan meningkatkan efektivitas serta efesiensi kegiatan perusahaan yang akhirnya dapat mencapai visi dan misi PT. PLN (Persero) UIW Aceh UP3 Subulussalam mengetahui sejauh mana tingkat kemampuan teknologi informasi yang sedang berjalan pada PT. PLN (Persero) UIW Aceh UP3 Subulussalam. Pengumpulan data dilakukan dengan metode wawancara, kuesioner dan observasi, adapun jumlah respondennya 10 orang. Hasil pengolahan data terfokus pada framework COBIT 5 domain DSS (Deliver Service and Support) dengan hasil setiap prosesnya yaitu DSS01 sebesar 2.86, DSS02 sebesar 2.85, DSS03 sebesar 2.86, DSS04 sebesar 2.84, DSS05 sebesar 2.88 dan DSS06 sebesar 2.82. Rata-rata dari keenam proses tersebut adalah sebesar 2,85 yang artinya berada pada level 3 yaitu Estabilished Process yang artinya proses manajemen teknologi informasi yang ada di perusahaan telah dideskripsikan dan diimplementasikan menggunakan proses yang telah didefenisikan dan mampu mencapai hasil proses yang diinginkan.
Sistem Informasi Administrasi Persuratan (Paperless Office) Berbasis Web Pada Fakultas Teknik Universitas Malikussaleh Siska Aulia Syafitri; Angga Pratama; Ananda Faridhatul Ulva
Sisfo: Jurnal Ilmiah Sistem Informasi Vol 4, No 1 (2020): Sisfo: Jurnal Ilmiah Sistem Informasi Volume 4 Nomor 1, Mei 2020
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v4i1.6278

Abstract

Pada saat ini perkembangan teknologi begitu pesat khususnya di bidang informasi. Sistem informasi adalah salah satu hasil dari perkembangan tersebut. dengan adanya sistem informasi, pengelolaan informasi menjadi jauh lebih efisien. Paperless secara umum mengurangi penggunaan kertas dalam berbagai kebutuhan contohnya dalam administrasi. dengan adanya paperless, penggunaan kertas dapat dikurangi sehingga dapat menghemat anggaran dalam manajemen keuangan. Aplikasi yang dibangun pada Fakultas Teknik Universitas Malikussaleh dapat mempermudah dalam proses administrasi persuratan yang sudah tersistem sehingga lebih mudah dalam mengelola persuratan dan dengan adanya sistem ini dapat mengurangi penumpukan kertas. sistem ini akan mengurangi penggunaan kertas yang digunakan dengan cara, mengurangi kertas yang dicetak digantikan dengan dokumen digital. Penulis melakukan wawancara pada bagian administrasi persuratan fakultas dan salah satu jurusan di fakultas teknik serta mencari bahan yang mendukung dalam pendefinisian masalah. Dengan ada sistem ini, diharapkan Dapat memudahkan para staff pada administrasi dalam hal surat menyurat dan dimasa mendatang diharapkan sistem ini dapat dikembangkan agar menghasilkan system yang lebih baik dari yang sebelumnya.
APLIKASI SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMBANGUNAN PERUMAHAN DENGAN METODE FUZZY TSUKAMOTO Ananda Faridhatul Ulva; Zahratul Fitri
Sisfo: Jurnal Ilmiah Sistem Informasi Vol 2, No 2 (2018): Sisfo: Jurnal Ilmiah Sistem Informasi Volume 2 Nomor 2, Oktober 2018
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v2i2.1012

Abstract

Pembangunan perumahan beserta sarana dan prasarananya perlu mendapatkanprioritas mengingat tempat tinggal merupakan salah satu kebutuhan dasar (basic needs) (Maslow). Dalam lingkup pembangunan, masyarakat merupakan pelaku utama pembangunan tersebut. Mengarahkan, membimbing, dan menciptakan suasana yang menunjang pembangunan adalah kewajiban pemerintah Pada penelitian ini, penulis akan mensimulasikan bagaimana merancangan dan mengaplikasikan perangkat lunak system pendukung keputusan untuk pembangunan kompleks perumahan dengan algoritma Tsukamoto. Yang memiliki tujuan untuk merancangan perangkat lunak sistem pendukung keputusan untuk pembangunan kompleks perumahan di daerah Aceh dengan algoritma Tsukamoto dengan bahasa pemograman Java. Serta untuk mengaplikasikan metode Tsukamoto kedalam pengambilan keputusan kelyakan dalam pembuatan perumahan.Kata kunci : Sistem Pendukung Keputusan, Fuzzy Tsukamoto, Perumahan
ANALISIS KINERJA KOMBINASI ALGORITMA AFFINE CHIPER, HILL CHIPER DAN ALGORITMA EL GAMAL DALAMPENGAMANAN DATA Ananda Faridhatul Ulva
Sisfo: Jurnal Ilmiah Sistem Informasi Vol 3, No 1 (2019): Sisfo: Jurnal Ilmiah Sistem Informasi Volume 3 Nomor 1, Mei 2019
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v3i1.6306

Abstract

Perkembangan teknologi semakin maju setiap zaman dengan berkembangnya teknologi kebutuhan manusia akan teknologi semakin besar terutama kebutuhan manusia dalam teknologi informasi. Kriptografi secara umum adalah ilmu dan seni untuk menjaga kerahasiaan pesan ketika pesan dikirim dari suatu tempat ke tempat yang lain. Algoritma kunci publik banyak digunakan karena kekuatan pengamanannya tapi memiliki kelemahan dalam lambatnya proses enkripsi dan dekripsi. Penggabungan proses enkripsi dengan menggunakan algoritma simetris yaitu Affine Cipher yang kemudian hasil dari affine cipher dienkripsi kembali dengan menggunakan Hill Cipher sehingga akan menutupi kelemahan dari Affine Cipher kemudian untuk menutupi kelemahan dari kedua algoritma dalam proses pengaman kunci digunakan algoritma asimetris atau algoritma kunci publik yaitu ElGamal sehingga nantinya memunculkan suatu kombinasi algoritma yang dapat memperkuat keamanan data
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

Abstract

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
Co-Authors Abdi Zulfikri Angga Pratama Chairul Akbar Fajar Tri Tri Anjani Hafizh Al Kautsar Aidilof Himmatur Rijal ilham - sahputra Ilham Saputra Ivan Maulana M Taufiq Hariadi Maulida Hasbi Mauliza Mauliza Mauliza Mauliza, Ade Mochamad Ari Saptari Muhammad Abdullah Ali Muhammad Zikri Mutammimul Ula Muzakir Nur Nurdin Nurdin Rahma Fitria Reyhan Achmad Rizal Ridwan Ridwan Rizki Setiawan Rizky Putra Fhonna Siska Aulia Syafitri Yulisda, Desvina Yumna Rilasmi Said Yunia Silfitri Yusliana Yusliana Zahratul Fitri