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All Journal ELEKTRO SAMUDERA METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) jurnal teknik informatika dan sistem informasi JTIK (Jurnal Teknik Informatika Kaputama) JUKI : Jurnal Komputer dan Informatika Login : Jurnal Teknologi Komputer MEANS (Media Informasi Analisa dan Sistem) International Journal of Engineering, Science and Information Technology TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Journal of Advanced Computer Knowledge and Algorithms
Eva Darnila
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Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Aplikasi Sistem Pendukung Keputusan Dalam Penerimaan Peserta Didik Baru Dinata, Rozzi Kesuma; Darnila, Eva
SAMUDERA Vol 7, No 1 (2013)
Publisher : Universitas Malikussaleh

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Abstract

Sistem pendukung keputusan yang menggunakan Technique for Order Preference by Similiarity to Ideal Solution (TOPSIS) dalam penentuan jurusan pada penerimaan calon siswa baru pada Sekolah Menengah Kejuruan (SMK). Dengan adanya sistem ini diharapkan dapat membantu Tim calon siswa baru pada Sekolah Menengah Kejuruan (SMK) dalam melakukan perhitungan nilai calon calon siswa baru, penentuan jurusan yang sesuai dan proses pendukung keputusan untuk mencapai tujuan, yakni mendapatkan rekomendasi jurusan terbaik untuk calon peserta didik yang akhirnya memperoleh kesimpulan akhir pemilhan jurusan terbaik untuk calon siswa baru.
Aplikasi Kamus Istilah Akuntansi Menggunakan Metode Knuth Morris Pratt Darnila, Eva
Jurnal ECOTIPE (Electronic, Control, Telecommunication, Information, Power Engineering) Vol 2, No 1 (2015): Jurnal “ECOTIPE” Jurusan Teknik Elektro Fakultas Teknik Universitas B
Publisher : Universitas Bangka Belitung

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Abstract

Kamus istilah akuntansi sangat bermamfaat bagi para akuntan dan pihak yang bergerak dalam bidang ekonomi, karena dapat mempermudah para akuntan dalam mencari kosa kata sehingga tidak perlu menggunakan kamus umum. Oleh karena itu dibutuhkan aplikasi kamus istilah akuntansi yang terintegrasi dengan perangkat selular akan sangat mempermudah pengguna dalam mencari arti kata dari suatu istilah dalam bidang akuntansi. Proses pencarian aplikasiistilah menggunakan metode knuth morris pratt yang juga merupakan metode pencocokan string. Metode knuth morris pratt menggunakan pergeseran karakter berdasarkan informasi yang diperoleh sebelum proses dilakukan (pre-process).Metode knuth morris pratt dinilai cukup efektif dalam melakukan pencarian, dikarenakan metode knuth morris pratt melakukan pergeseran karakter yang cukup jauh dengan menggunakan aturan fungsi batasan (border function).Kata kunci : String Matching, Knuth Morris Pratt
Aplikasi Kamus Istilah Akuntansi Menggunakan Metode Knuth Morris Pratt Darnila, Eva
Jurnal ECOTIPE Vol 2, No 1 (2015): Jurnal “ECOTIPE” Jurusan Teknik Elektro Fakultas Teknik Universitas B
Publisher : Jurusan Teknik Eelektro Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5.687 KB)

Abstract

Kamus istilah akuntansi sangat bermamfaat bagi para akuntan dan pihak yang bergerak dalam bidang ekonomi, karena dapat mempermudah para akuntan dalam mencari kosa kata sehingga tidak perlu menggunakan kamus umum. Oleh karena itu dibutuhkan aplikasi kamus istilah akuntansi yang terintegrasi dengan perangkat selular akan sangat mempermudah pengguna dalam mencari arti kata dari suatu istilah dalam bidang akuntansi. Proses pencarian aplikasi istilah menggunakan metode knuth morris pratt yang juga merupakan metode pencocokan string. Metode knuth morris pratt menggunakan pergeseran karakter berdasarkan informasi yang diperoleh sebelum proses  dilakukan (pre-process). Metode knuth morris pratt dinilai cukup efektif dalam melakukan pencarian, dikarenakan metode knuth morris pratt melakukan pergeseran karakter yang cukup jauh dengan menggunakan aturan fungsi batasan (border function).
IMPLEMENTASI SISTEM PAKAR PADA PASIEN PENDERITA TUBERKULOSIS POTENTIAL DROP OUT DI RUMAH SAKIT CUT MEUTIA ACEH UTARA Darnila, Eva; Ula, Mutammimul; Mauliza, Mauliza; Ermatita, Ermatita; Pahendra, Iwan
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.348 KB) | DOI: 10.30865/komik.v2i1.968

Abstract

The existence of a technology that identifies and controls patients with potential drop out TB disease which is increasingly rapid will be a top priority, especially for the health team in following up the success of treatment. In this study, an expert system was used to diagnose patients with potential Drop Out tuberculosis by using a Case Based Reasoning model to see patients with potential Droup Out. For variable names used are pulmonary smear patients (+), new patients, pulmonary smear (-) / ro (+), new patients, extra pulmonary, relapsed patients, re-treatment, default patients, re-treatment patients, failed patients and others -other. The last detection process is taken from the highest value obtained in the diagnosis of all the symptoms that have been witnessed. Based on the results of the application of the Expert System on Potential Drop Out Tuberculosis Patients at Cut Meutia Hospital in North Aceh based on the case code 31 with a detection system for the AFB (+) Lung Patient with its detection symptoms, the patient coughs with phlegm for 2-3 weeks or more. the results of sputum examination, patients who have been treated with TB drugs less than 1 month and TB patients on sputum examination, patients who have been treated with TB drugs less than 1 month, TB patients stop the treatment and TB patients return to the facility health service facilities with the highest case value of 0.6111 of all detection systems that have been tested.Keywords: Expert system,  CBS, TB
APLIKASI KLASIFIKASI STATUS GIZI BALITA MENGGUNAKAN METODE NAÏVE BAYES BERBASIS ANDROID Darnila, Eva; Maryana, Maryana; Azmi, Muhammad
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 5 No. 2 (2021): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (420.656 KB) | DOI: 10.46880/jmika.Vol5No2.pp135-141

Abstract

Malnutrition is a condition that a person experience because the lack of nutrient intake or the amount of nutrients that exist is still below standard. nutritional problems are most commonly experienced by toddlers. Nutritional status in toddlers is a benchmark of the health condition of toddlers. The nutritional status of toddlers can currently be measured based on anthropometric index using WHO standards. Anthropometrics is an assessment of the nutritional status of toddlers determined through measurements of the human body In this study measurement of nutritional status using a technique in data mining namely Naïve Bayes Method that aims to facilitate health centers in measuring the nutritional status of toddlers quickly through android-based applications. Naïve Bayes method performs nutritional status classification of toddlers that will produce a classification very thin, thin, normal and fat. Based on data taken from banda sakti health center Lhokseumawe city which then carried out the classification process, obtained the results of nutritional status "skinny" with data testing male sex, weight 7.4 kg and height 64.6.
INTERNET NETWORK CLASSIFICATION IN MALIKUSSALEH UNIVERSITY USING NAÏVE BAYES METHOD Eva Darnila; Zara Yunizar; Dhyra Gibran Alinda
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 5 No. 1 (2021): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (594.877 KB) | DOI: 10.46880/jmika.Vol5No1.pp48-53

Abstract

The utilize of web systems at this time is exceptionally critical, particularly for the world of instruction. In expansion to the significance of the web arrange, issues frequently emerge on the web arrange due to an expansive number of clients, the issues can be gotten at the UNIMAL campus incorporate moderate, harmed, and indeed not sent information to its goal since the organize activity isn't ideal. To be able to optimize the web organize by prioritizing organize activity. In this consider, the Credulous Bayes calculation is utilized for the classification handle of organize activity capture information. The application utilized to capture organize activity is the Wireshark application. Utilizing the Credulous Bayes calculation to watch the comes about of organize test information through a calculation prepare that has tall precision. To be specific at the Workforce of Designing 95.73% with a likelihood of testing comes about is 0.00015946 web browsing, 0.00000007 downloads, 0.00008691 gushing, 0.00008497 social media, 0.00000014 floodings.
Optimasi Kelayakan Kondisi Pembangunan Jalan di Kota Lhokseumawe Menggunakan Algoritma Greedy Eva Darnila; Mutammimul Ula; Cut Dewi Aida Soraya
JUKI : Jurnal Komputer dan Informatika Vol. 1 No. 1 (2019): JUKI : Jurnal Komputer dan Informatika, Edisi Mei 2019
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/juki.v1i1.3

Abstract

Lhokseumawe City is one of the cities on the east coast of Aceh. The Lhokseumawe City area is the result of the expansion of the North Aceh region, where existing transportation facilities and infrastructure need to be optimized for development. Development is expected to improve the economy of the population around Lhokseumawe City, especially in the road construction sector. Considering the population growth in the Lhoseumawe City region which continues to increase every year, so that optimal road construction is expected to facilitate the mobility of the surrounding population in carrying out daily activities. To find out the condition of the existing roads around the city of Lhokseumawe in this study, the Indonesian Road Capacity Manual (MKJI) will be used to measure the degree of saturation of a road section in the Lhokseumawe City area. And the optimization is then used Greedy Algorithm, where this greedy algorithm is an optimization algorithm commonly used to solve optimization problems even though the results are not always optimal. The Greedy algorithm applied in this application will try to optimize by finding the nearest path from the Simpang Len road to Riyadhah Park by taking the coordinates (latitude and longitude) of the nodes to be passed. From the search results of the node that is depicted into graphs then it produces the optimal path that will be passed by the user is A → B → C → D → F → G → K → L → M → Q with a total distance of 9.8 km.
Prediction and mapping of landslide hazard in North Sumatera Teguh Rahayu; Albertus Tua Simanullang; Wisnu Wardono; Yosvin Apriando; Patra Mesiari Tarigan; Eva Darnila; Marzuki Sinambela
Login : Jurnal Teknologi Komputer Vol. 14 No. 1 (2020): Login : Jurnal Teknologi Komputer, Edition June 2020
Publisher : Sean Institute

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Abstract

Mapping of landslide hazard in North Sumatera is very important to identify the areas potential. In this study we try to predict and mapping of landslide hazard in North Sumatera using scoring and GIS. Compare to the ground movement vulnerability and rainfall series, the areas with steep topography have landslide hazard forecasts, which are dominated by zones with medium hazard forecasts. High-level landslide hazard forecast maps are in the areas of South Tapanuli, Mandailing Natal, Humbang Hasundutan, Central Tapanuli, North Tapanuli, South Nias, West Nias, Padang Lawas, Toba Samosir, Langkat, Samosir, Pakpak Bharat, and Karo districts.
Analysis of Patient Disease Trends Based on Medical Record Data Using the C4.5 Algorithm Eva Darnila; Hafiz Al-Kautsar; Yaumil Iksan
Login : Jurnal Teknologi Komputer Vol. 14 No. 1 (2020): Login : Jurnal Teknologi Komputer, Edition June 2020
Publisher : Sean Institute

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Abstract

Data mining is the process of finding patterns from large data sets using descriptive, estimation, prediction, classification, clustering and association techniques. The C4.5 algorithm is one of the most popular algorithms of the classification method in data mining which is the development of the Iterative Dichotomizer 3 (ID3) algorithm. By using the algorithm C4.5, the authors are interested in conducting research on medical record data that is in the Regional General Hospital dr. Fauziah Bireuen. A medical record is a file containing notes and documents regarding the patient's identity, examination results, medication, actions and other services that have been provided to patients. The purpose of this study was to find trends in patient disease using the C4.5 algorithm based on 4 data variables, namely age, gender, address and diagnosis. From the research results, it was found that disease trends in children, adults and the elderly in all Bireuen regions and all genders were F00-F99, namely mental and behavioral disorders. While the disease trend for infants is A00-B99, namely certain infections and parasitic diseases. Then for adolescents in North Bireuen and West Bireuen the emerging disease trend is F00-F99, namely mental and behavioral disorders, while for adolescents in South Bireuen who are male, the emerging disease trend is I00-I99, namely diseases of the car and mastid process, while adolescents in South Bireuen are female, the trend of disease that appears is M00-M99, namely diseases of the musculoskeletal system and connective issue.
The Effect of Compensation, Supervision and Competence on Performance of Tuberculosis Health Center Officers using Multiple Linear Regression Japirman Purba; Syaiful Bahri; Hazmanan Khair; Eva Darnila
Login : Jurnal Teknologi Komputer Vol. 13 No. 2 (2019): Login : Jurnal Teknologi Komputer, Edition Desember 2019
Publisher : Sean Institute

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Abstract

Tuberculosis is a direct and chronic infectious disease that is transmitted by tuberculosis sufferers, thus tuberculosis sufferers must be treated immediately until healed. Medan City, located in Indonesia, is the largest area of TB sufferers compared to other areas in North Sumatra, Indonesia. In this study, we use the Multiple Linear Regression (MLR) with the performance of TB officers from 2014-2017. Data obtained by interviews and observations using questionnaires and analyzed by multiple regression α=0,05. The results of research are showed that statistically, both partially and simultaneously, from all of respondents have assessed according to several characteristics, namely age, sex, education, years of service and marital status that the distribution of respondents from each variable of compensation, supervision and competence are affected to the performance of TB officers at Puskesmas in the Working Area of the Medan City Health Service. The compensation variable is the most influential variable on the performance of Puskesmas TBC officers in the Working Area of Medan City Health Service.
Co-Authors Albertus Tua Simanullang Asrianda Asrianda Asrianda Cut Dewi Aida Soraya Dhyra Gibran Alinda Ermatita Ermatita, Ermatita Fadlisyah Fadlisyah Fajriana, Fajriana Fuadi, Wahyu Hafiz Al-Kautsar Hafni Hafni Hafni Hafni Harahap, Lina Mardiana Hazmanan Khair Hizamrul jaen Iwan Pahendra jaen, Hizamrul Jannah, Rauzatul Japirman Purba Khalid Mawardi Maryana Maryana Maryana Maryana, Maryana Marzuki Sinambela Mauliza, Mauliza Melodi, Balqis Muhammad Azmi, Muhammad Muhammad Fikry Muhammad Rivai Mukti Qamal Mutammimul Ula Nanda Fadisar Nursanti Nursanti Nursanti Nursanti Pahendra, Iwan Patra Mesiari Tarigan Putri Irhami Rauzatul Jannah Rini Meiyanti Risawandi, Risawandi Rizki Mandala Rosnita, Lidya Rozzi Kesuma Dinata Safwandi Safwandi Sinambela Marzuki Suci Ramadani Syaiful Bahri Teguh Rahayu Teguh Rahayu TONNI LIMBONG Ulvityatni Wisnu Wardono Yaumil Iksan Yosvin Apriando Zara Yunizar