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All Journal Seminar Nasional Informatika (SEMNASIF) JOIV : International Journal on Informatics Visualization TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Jurnal Teknik Informatika (JUTIF) Jurnal Diferensial Jurnal Dialektika Informatika (Detika) HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Konstelasi: Konvergensi Teknologi dan Sistem Informasi INJURITY: Journal of Interdisciplinary Studies J-Icon : Jurnal Komputer dan Informatika Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Jurnal Sistem Informasi (JASISFO)
Kornelis Letelay
Universitas Nusa Cendana
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Mathematics Public Health Social Sciences

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Journal : J-Icon : Jurnal Komputer dan Informatika

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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.
DIAGNOSA HAMA DAN PENYAKIT PADA TANAMAN CABAI MENGGUNAKAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS) Daud Meko; Derwin R Sina; Kornelis Letelay
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.v6i2.510

Abstract

This research led to an expert system application that was built by applying the method variable centered intelligent rule system and the certainty factor. Variable Centered Intelligent Rule System (VCIRS) is an intelligent rule-based system that focuses on the variables. VCIRS procedures are able to take over the construction of knowledge, update knowledge as well as advice or inference process. Procedure own certainty factor on the symptoms of pests or diseases taking into account the weighting process used to provide from the weighting process result in the form of pests or diseases to the value of the trust of the system. The location of this research is located in Rote Ndao Regency. Data used in this application testing of 28 case data sourced from an expert or agricultural expert. Accuracy in this study was 100 %. The results showed that the method variable centered intelligent rule system and certainty factor can be applied in the application of expert system for the diagnosis of plant pests and diseases chili.
PENERAPAN METODE MULTI FACTOR EVALUATION PROCESS PADA APLIKASI SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PERMOHONAN PINJAMAN NASABAH PADA KOPERASI SIMPAN PINJAM GLORIA Redian A Sina; Kornelis Letelay; Dony M Sihotang
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.v6i2.513

Abstract

Lending to customers is one of the services provided by Koperasi Simpan Pinjam Gloria. Bad loans caused by the process of loan transactions manually causing harm to the cooperative. In this study, designed and constructed a decision support system application using MFEP (Multi Factor Evaluation Process) where the process begins with entering customer data, the criteria data including asset, utility loans, loan size, duration, guarantees, profit / loss of the principal efforts per month and profit / loss of the financial per month, the data classification criteria, the data assessment for further calculated and sorted based on the highest value. System testing by comparing the manual calculation results with the results of the system on 3 customer data as test data obtained similar results which showed that the system has accuracy of 100% and system testing using blackbox method showed compliance with the system design. The end result of this research is the determination of the decision support system application for a loan customer with MFEP method. The output of this system is the result of several alternative rank that become the managers reference in decision-making.
PERBANDINGAN KINERJA METODE DETEKSI TEPI PADA CITRA Kornelis Letelay
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.v7i1.875

Abstract

The results of the above analysis it is concluded that edge detection is best resulted from the user of the canny method. Edge detection using the canny method is the best edge detection because the line morphology generated by edge detection is better visible on the border of the image both on the inside and the edges of the image appear thick, vertical or horizontal lines on the front of the house is very clear when compared with the two methods above.
PENERAPAN METODE COLOR FILTERING DAN LEARNING VECTOR QUANTIZATION DALAM PENENTUAN TINGKAT KEMATANGAN CAKE DASAR PUTIH Daniel Boys; Arfan Y Mauko; Kornelis Letelay
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.v7i1.888

Abstract

Cake merupakan panganan yang terbuat dari campuran bahan-bahan seperti tepung, gula, telur, garam, susu, aroma dan lemak yang dikembangkan dengan atau tanpa bahan pengembang. Penentuan tingkat kematangan cake dasar putih dilakukan berdasarkan grade warna permukaan pada saat proses pemanggangan. Namun hal ini sering menjadi kendala karena faktor persepsi komposisi warna setiap orang berbeda-beda. Pengambilan data citra menggunakan kamera 3.2 mp dan 13 mp, setelah itu citra disegmentasi dengan color filtering untuk membuang pixels yang mengandung efek lighting. Tahap selanjutnya yaitu ekstraksi ciri warna RGB kemudian dilakukan pelatihan dengan metode Learning Vector Quantization (LVQ). Hasilnya aplikasi mampu menentukan tingkat kematangan kue cake dasar putih dengan rata-rata akurasi 65,19% dan cake dasar cokelat sebagai kelas validasi 96,88% untuk kamera 3.2 mp sementara pada kamera 13 mp rata-rata akurasi 64,93% dan cake dasar cokelat sebagai kelas validasi yaitu 93,75%. Keberhasilan identifikasi dipengaruhi oleh faktor pencahayaan dalam ruangan, jarak pengambilan dan wadah penampung.
SISTEM INFORMASI AUDIT MUTU INTERNAL (SI AMI) PERGURUAN TINGGI MENGGUNAKAN METODE USER CENTERED LEARNING Meiton Boru; Nelci D. Rumlaklak; Kornelis Letelay; Dony M. Sihotang
J-Icon : Jurnal Komputer dan Informatika Vol 7 No 2 (2019): Oktober 2019
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v7i2.1651

Abstract

Tujuan dari penelitian ini adalah untuk mengimplementasikan metode User Centered Design (UCD) dalam membangun sebuah Sistem Informasi Audit Mutu Internal (SIAMI) Perguruan Tinggi. Terdapat dua skenario pengujian yang telah dilakukan dalam penelitian ini yaitu: pengujian black box dan pengukuran tingkat kepuasan terhadap sistem menggunakan quesioner. Pengujian black box dilakukan dengan menguji semua fungsi fitur dalam sistem dan hasilnya sistem 95% berfungsi dengan baik. Sedangkan untuk pengujian tingkat kepuasan pengguna terhadap sistem menunjukan bahwa SIAMI dengan metode UCD dapat digunakan karena memiliki tingkat kepuasan sebesar 87%.
IMPLEMENTASI METODE FUZY-SIMPLE ADDITIVE WEIGHTNG (F-SAW) UNTUK SISTEM PENERIMA BANTUAN RUMAH DI KECAMATAN AMARASI KABUPATEN KUPANG Yuyun Saudale; Kornelis Letelay; Arfan Y Mauko
J-Icon : Jurnal Komputer dan Informatika Vol 7 No 2 (2019): Oktober 2019
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v7i2.1655

Abstract

Recipients of housing assistance for poor people are government assistance programs that have a limited budget so that not all people receive housing assistance. Criteria for recipients of housing assistance can be seen from 13 criteria such as age, education, occupations, income, land ownership, home ownership, number of occupants, roof conditions, wall conditions, floor conditions, ownership of bathrooms, water sources, electricity sources. To get a decent recipient, a Decision Support System (DSS) is needed to make it easier for the government to provide housing assistance for poor people. Fuzzy Method Simple Additive Weighting (F-SAW) is one method in DSS that can help resolve unstructured problems and can accommodate weakness of SAW method in linguistic and numerical assessments. System testing conducted use sensitivity testing that is with change value weight each criteria in a manner gradually. From sensitivity test above that has been done, the most sensitive is education criteria because when tested three times of high weight is changed to very high has experienced one change, low has 4 times changed and very low has 4 times the change, with these changes the results got 90% presentation for education criteria. From the results of comparisons that have been made between Dinas Sosial and system, data quota that deserves to receive housing assistance as much as 30 data from dinas sosial showed that total data quota is 20 which is same with system and 10 data is not same with system.
Sistem Pendukung Keputusan Pemilihan Calon Kepala Desa menggunakan metode Fuzzy Simple Additive Weighting (F-SAW) (Studi Kasus Pada Desa Noelbaki Kecamatan Kupang Tengah Kabupaten Kupang) Kornelis Letelay; Sarah Nuban; Metion Boru
J-Icon : Jurnal Komputer dan Informatika Vol 8 No 1 (2020): Maret 2020
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v8i1.2400

Abstract

In the election of candidates of the village head must be through an assessment whether the candidates of the village head is feasible or unfit. BPD Noelbaki has set the assessment standards in the election of the village head of the village since the beginning of the election to date. The election is done based on the criteria that have been established, among others, education, domicile, personality, legal status, political parties, work, income and age. In the study was done design and manufacture of application decision support system with fuzzy simple additive weighting (F-SAW). This method is able to accommodate the shortcomings of saw methods in linguistic and numerical assessments. Testing system is done by comparing the result of the system and the results of the expert. From the results of the system validation testing provided by the BPD against 30 alternative data, obtained value 90% accuracy with error rate of amount 10% which shows that the decision support system work with optimally according to the method of F-SAW.The results of this research is the application system of decision support of the election of candidate village by the district of several alternatives (candidate of the village head), which can be a BPD recommendation for decision making. Afer testing of the 30 test data, with input value of the same interest for each criterion, so obtained presentation of the strict constitution competition and BPD bank state decision by 90%, where there are 3 resuluts of the districts that are rejected with the assessment standards of the BPD.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN LOKASI LAHAN PERTANIAN UNTUK BUDIDAYA TANAMAN JERUK KEPROK MENGGUNAKAN FUZZY MULTI ATRIBUTE DECISSION MAKING (FMADM) DAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) Leonardus Naben; Kornelis Letelay; Emerensye Sofia Yublina Pandie
J-Icon : Jurnal Komputer dan Informatika Vol 8 No 2 (2020): Oktober 2020
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v8i2.2884

Abstract

In commodity, oranges is one fruits that have benefit to be organized. The agribusiness of orange could increase farmers’ prosperity if it organized wholeheartedly. Besides, it is not only expand thereigional economic matters but also increasing the national emolument. Nowadays, the determining area of cultivation of oranges in TTS regency still did in manual way. occasionally, the farmers constrain the land utilizing of citrus fruit. The exposure of the land in the inappropriate area can lead the costs to be more expensive than the percentage agricultural commodities in the future. The Agriculture Department still estabish the location manually, so the information of decission support system of ariculture area is less accurate. That is why the use of FMADM decission support system and SAW method very precise to implement in this case. This research use 7 criteria rain, temperature, drainae, pH H2O, texture of land, and slope. The comparing of manual computation and system computation by examination system. The results are same but the outcome of the system is better than manually. In measuring the importance of weight use sensititifity examine of weight repair with 10 data location that found by the researcher in BPTP East Nusa Tenggara. The result found the more sensitive criteria is slope which has sensitive levels 60%. Finally, after the system result add 0.5 and 1, show contrast result of rank of the data. The data analyze found the system extend better result.
Co-Authors Adriana Fanggidae Anita M Sonbay Arfan Y Mauko Arfan Y Mauko Azhari SN Bertha S Djahi Bertha S. Djahi Boru, Meiton Clarissa Elfira Amos Pah Daniel Boys Daud Meko David Wewo Derwin R Sina Derwin Rony Sina, Derwin Emerensye Sofia Yublina Pandie Fanggidae, Adriana Jamaludin Abdullah Juan Rizky Mannuel Ledoh Leonardus Naben Malelak, Ina Jesica Marni Nokas Mauko, Arfan Y Meiton Boru Metion Boru Mola, Sebastianus A. S Mola, Sebastianus A.S Nabuasa, Yelly Yosiana Nelci D. Rumlaklak Non, Erwin T. W. Pandie, E.S.Y Polly, Yulianto Triwahyuadi Ratna Yulika Go Redian A Sina Sabuna, Lidia Sarah Nuban Sebastianus Adi Santoso Mola Sihotang, Dony Martinus Snae, Derwinta Pondence Sultani, Akhzan Akbar Taus, Hilga Gisela Tiwuk Widiastuti Yulianto Triwahyuadi Polly Yunni Alvionita Adoe Yuyun Saudale