Article Per Year (5 Year)
p-Index From 2019 - 2024
1.116
P-Index
This Author published in this journals
All Journal Jurnal Dialektika Informatika (Detika) Jurnal Nasional Teknik Elektro dan Teknologi Informasi J-Icon : Jurnal Komputer dan Informatika
Adriana Fanggidae
Universitas Nusa Cendana
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 10 Documents
Search

 1 
Prediksi Penyakit Pada Balita Usia 2-60 Bulan Menggunakan Metode Certaitainty Factor Afriani Afriani Afriani; Sebastinaus Adi Mola; Adriana Fanggidae
Jurnal Dialektika Informatika (Detika) Vol 3, No 1 (2022): Jurnal Dialektika Informatika(Detika) Vol.3 No.1 Desember 2022
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/detika.v3i1.9081

Abstract

Masuknya COVID-19 pada April 2020 di Kota Kupang sangat memengaruhi kehidupan masyarakat khususnya di bidang kesehatan, terutama pada balita yang sangat rentan diserang oleh berbagai penyakit. Penurunan kunjungan orang tua yang memeriksakan kondisi anaknya di Puskesmas Oesapa Kota Kupang menurun sebanyak 50% di tahun 2020. Pembatasan waktu kunjungan dari 5 jam menjadi 3 jam perhari dan kekhawatiran orang tua akan penularan COVID-19 yang mungkin terjadi di area puskesmas menjadi penyebab penurunan kunjungan yang dimaksud. Oleh karena itu, untuk menjawab permasalahan tersebut dibutuhkan sistem pakar untuk mendiagnosis penyakit pada balita yang dapat membantu para orang tua dalam melakukan diagnosis penyakit pada balita dengan menerapkan certainty factor. Metode certainty factor digunakan untuk mengakomodasi ketidakpastian dalam proses diagnosis penyakit pada balita. Berdasarkan penelitian yang telah dilakukan, sistem terbukti mampu dan akurat dalam mendiagnosis penyakit pada balita usia 2-60 bulan dengan tingkat akurasi sebesar 98%. 
APLIKASI PENENTUAN GOLONGAN DARAH MANUSIA DENGAN METODE SEED REGION GROWING DAN SELF ORGANIZING MAPS David Wewo; Adriana Fanggidae; Kornelis Letelay
J-Icon : Jurnal Komputer dan Informatika Vol 6 No 1 (2018): Maret 2018
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v6i1.349

Abstract

The blood type of human are divided by four group wich is blood type A, B, O & AB. Artificial Neuron Network can help the identify process for blood type. Self organizing maps is a part of arrtificial neuron network who has function for data training and data clasification. The image data are using by blood clotting and obtained after spilled blood sample with the reagent. The real data image are converted into grayscale image, For taking the characteristic are doing by converted real image to image biner with the treshold more than 80 and smaller than 150, image are taken as much as 12 image of clotted blood and 12 image blood wich does not clot, and the next step will do the training process using self organizing maps. The first testing data are doing by the same test data and same with training data too and the result 100%. The second testing data is doing by 12 blood image test data wich is not the same as data training and the result 83.33%.
PENYANDIAN DATA TEKS MENGGUNAKAN ALGORITMA CIPHER FEED-BACK DAN CHAOTIC SKEW TENT MAP Anita M Sonbay; Adriana Fanggidae; Kornelis Letelay
J-Icon : Jurnal Komputer dan Informatika Vol 5 No 2 (2017): Oktober 2017
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v5i2.360

Abstract

Security for documents that contain confidential text and important for a company, institution, or organization from disorders irresponsible organisation is a necessity or a major requirement that must be done, so we need a software that can protect these vital documents. The combination of algorithms Chiper Feed-back (CFB), Chaos Skew Tent Map (CSTM), and the initial value generation techniques with Session Keys capable of encrypting the text properly. Tests conducted on 26 files doc, docx and txt where each test will be analyzed the correlation, standard deviation and variance, as well as the histogram. Testing is done to the file doc, docx, and txt with a size ≤ 35 kb, 30-60 kb, 61-80 kb and > 80 kb. The test results obtained by the value of the average correlation = 0.163326411, standard deviation = 1.068,070, variance = 1.550.358,492, and the ciphertext histogram that visually looks uniform, making it difficult to analyze the statistical analysis of the character or key.
DETEKSI DAN IDENTIFIKASI BARCODE 2D MENGGUNAKAN METODE EKSTRAKSI CIRI GABOR FILTER DAN IDENTIFIKASI CIRI BACKPROPAGATION NEURAL NETWORK Hepiyana V Runesi; Adriana Fanggidae; Meiton Boru
J-Icon : Jurnal Komputer dan Informatika Vol 6 No 2 (2018): Oktober 2018
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v6i2.511

Abstract

Barcode is a device in the form of a black and white matrix to represent 1 and 0, which aims in storing information. It is divided into two types, namely 1D and 2D barcodes. The different between them is 1D barcode has black and white bars, while 2D barcode has square shape. The method used in this research is grayscaling, floating and screening comprehensive using flood fill pixel reduction algorithm, the perimeter of objects, extraction feature using gabor filter algorithm, the learning method uses backpropagation neural network algorythm, and the identification process using the feedforward method to backpropagation neural network algorythm. The data used in this research is a data of 2D barcode on each of it amounted to 20 users who are taken from the BBM (Blackberry Messenger) contact, due to the lack of data thus a data of the 2D barcode is cropped for 8 times to be the training data and twice to be the test data. The test is done in three stages which the first data set consists of 10 users, the second one consists of 15 users and the last one consists of 20 users. The result of the testing system for those data sets show that the first data set obtains an accuracy of 100%, the second one obtains 93,33% and the last one obtains 66%.
ANALISIS METODE SINGLE-POINT CROSSOVER (SPX), TWO-POINT CROSSOVER (TPX) DAN MULTI-POINT CROSSOVER (MPX) PADA FUNGSI NONLINEAR DUA PEUBAH DENGAN BINARY CODING Adriana Fanggidae
J-Icon : Jurnal Komputer dan Informatika Vol 7 No 1 (2019): Maret 2019
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v7i1.872

Abstract

Algoritma genetika merupakan salah satu algoritma evolusioner yang memiliki 4 tahapan penting yaitu pengkodean, seleksi, crossover dan mutasi. Pada tulisan ini, kinerja dari binary coding pada 3 metode crossover SPX, TPX, dan MPX diuji pada 5 fungsi nonlinear dua peubah. Hasil yang diperoleh menunjukkan metode crossover TPX memberikan kinerja yang lebih baik daripada SPX dan MPX.
IDENTIFIKASI TELAPAK TANGAN MENGGUNAKAN METODE EKSTRAKSI CIRI PRINCIPAL COMPONENT ANALYSIS (PCA) DAN IDENTIFIKASI CIRI RESILIENT PROPAGATION Mellanie Lette; Adriana Fanggidae; Nelci D Rumlaklak
J-ICON : Jurnal Komputer dan Informatika Vol 4 No 1 (2016): Maret 2016
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v4i1.5199

Abstract

The palmprint recognation in this research was being held through several stages, which are image acquisition, preprocessing using histogram equalization,edge detection using sobel operation, feature extraction using Principal Componnent Analysis and face identification using Resilient Propagation. This research use Principal Componnent Analysis as its feature extraction method and Resilient Propagation as its recognition method. This research use 40 training data and 20 testing data wich are gained from PolyU. The final result of the research shows that accuration performance of system using Principal Componnent Analysis and Resilient Propagation by using error tolerance as 1,E-06 and neuron hidden output as 10 are giving best performation that is 65% can be recognized as compared with using the othe error tolerance , neuron output and neuron hidden .
APLIKASI PERHITUNGAN HARTA WARISAN BERDASARKAN HUKUM ISLAM Rahmadanilah Rahmadanilah; Yulianto T Polly; Adriana Fanggidae
J-ICON : Jurnal Komputer dan Informatika Vol 4 No 1 (2016): Maret 2016
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v4i1.5200

Abstract

Heritage is something that is inherited, such as property, reputation, etcetera. In the daily lives, legacy issues often trigger conflicts and raises a family relationship. The main cause is human greed, and beyond this the lack of knowledge of the relevant parties regarding the calculation of inheritance law. Many Muslims do not know the law and how the calculation is based on the Islamic law of inheritance. To overcome these problems then built an application to assist in the calculation of the legacy based on Islamic Law following that Islamic Law rules. This application produces the percentage and nomina which received by each heirs.
Klasifikasi Penentuan Status Zona di Kota Kupang Menggunakan Aalgoritma Naive Bayes Classifier Nelci Dessy Rumlaklak; Adriana Fanggidae; Yulianto Triwahyuadi Polly
J-ICON : Jurnal Komputer dan Informatika Vol 10 No 1 (2022): Maret 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v10i1.6458

Abstract

The World Health Organization (WHO) made the corona virus a pandemic in 2020. This virus has hit the whole world, including Indonesia. East Nusa Tenggara (NTT) as of June 2021 recorded 18,741 positive cases of Covid-19 and the City of Kupang was the area that contributed the most positive cases. The daily increase in Covid-19 cases in Kupang City shows a fairly high increase. The purpose of this study is to build a classification system to determine the status of the Covid-19 zone in the city of Kupang. The system design using the waterfall model is used to design and build the system while the Naïve Bayes Classifier algorithm is used for classification. The criteria as input in the system for the classification process are positive confirmed data, recovered patient data and death data. The results of the classification process consist of 2 classes, namely the Green Zone and Red Zone. Kupang City's daily Covid-19 case data for January-June 2021 with a total of 181 as training data. 31 test data entered into the system were analysed using the Naïve Bayes Classifier method and succeeded in obtaining classification results as system output. Tests in the study were carried out on systems built using Blackbox testing to test the functionality of the system with the expected results. The confusion matrix is ​​used to test the performance of the classification method and the results have an accuracy rate of 77.91% and a precision value of 73.91%.
IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN KESESUAIN LAHAN UNTUK TANAMAN JAGUNG MENGGUNAKAN METODE PROMETHEE Denni Irvanto Metkono; Tiwuk Widiastuti; Adriana Fanggidae
Jurnal Dialektika Informatika (Detika) Vol 3, No 2 (2023): Jurnal Dialektika Informatika(Detika) Vol.3 No.2 Mei 2023
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/detika.v3i2.10163

Abstract

Tanaman jagung bagi masyarakat Nusa Tenggara Timur (NTT) merupakan makan pokok sebagai alternatif pengganti beras. Terdapat 12 kriteria yang harus diperhatikan dalam menentukan kesesuain lahan untuk pertanian jagung dan sistem pendukung keputusan dapat digunakan pihak Balai Pengkajian Teknologi Pertanian (BPTP) dan petani dalam mengambil keputusan. Terdapat 6 kriteria yang dapat dilihat secara langsung yaitu temperatur rata-rata, curah hujan tahunan, kelembaban, kriteria drainase, kelas tekstur, dan kedalaman tanah dan 6 kriteria yang memerlukan hasil analisis dari laboratorium yaitu C-organik, kapasitas tukar kation tanah, pH tanah, nitrogen total, fosfor, dan kalium.[1]  Penggunaan metode Promethee dalam penelitian ini diuji terhadap 20 lahan pertanian sebagai data uji didapat hasil net flow[2] terbesar 0,61403508 merupakan lahan yang paling direkomendasikan sebagai lahan untuk ditanami jagung. Pengujian sistem menggunakan pengujian Acceptance Test (UAT) dan pengujian black box.[5] Pengujian UAT dari 18 responden yang merupakan kelompok tani di Kabupaten Kupang didapat persentase sebesar 76,4% yang termasuk dalam kategori setuju. Pengujian black box terhadap 19 fungsionalitas yang diuji dan memberikan hasil 100% dikatan valid.
Sistem Presensi Dosen Menggunakan IMEI dan GPS Smartphone dengan Data Terenkripsi Adriana Fanggidae; Yulianto Triwahyuadi Polly
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 3: Agustus 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1197.216 KB)

Abstract

The improvement of education quality is determined not only by student's attendance but also lecturer's attendance in class. In this paper, control system of lecturer's attendance has been developed. This system requires two types of users, which are administrator and lecturer. The administrator is responsible for data analysis and report. The lecturer confirms his/her attendance using smartphone by utilising IMEI (International Mobile Equipment Identity) and GPS (Global Positioning System). The security of the data flow in this attendance system is built using the stream cipher algorithm with three key randomization methods: odd parity Hamming code, tent map and session keys. Research finds that this contol system of lecturer's attendance is secure because of the following reasons. First, it has been built using three-tier architecture. Second, there is a security check from software system. And lastly data flow is encrypted with low correlation between plaintext and ciphertext. Furthermore, the sytem is reliable because when internet and/or GPS is lost, data between client and server is kept and is delivered once there is internet and/or GPS connection. Report of lecturer's attendance from this system is reliable and hence it is recommended to be used for lecturers' attendance report.
Co-Authors Afriani Afriani Afriani Anita M Sonbay David Wewo Denni Irvanto Metkono Hepiyana V Runesi Kornelis Letelay Meiton Boru Mellanie Lette Nelci D Rumlaklak Nelci Dessy Rumlaklak Rahmadanilah Rahmadanilah Sebastinaus Adi Mola Tiwuk Widiastuti Yulianto T Polly Yulianto Triwahyuadi Polly Yulianto Triwahyuadi Polly