Article Per Year (5 Year)
p-Index From 2020 - 2025
0.751
P-Index
This Author published in this journals
All Journal JURNAL SISTEM INFORMASI BISNIS METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Journal Of Information And Technology Unimor (JITU) Jurnal Nasional Teknik Elektro dan Teknologi Informasi J-Icon : Jurnal Komputer dan Informatika Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Sihotang, Dony Martinus
Universitas Nusa Cendana
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 18 Documents
Search

 1   2 
Penentuan Lokasi Tempat Pembuangan Sementara Sampah Menggunakan Metode Brown Gibson Berbasis Sistem Informasi Geografis Sihotang, Dony Martinus; Tarus, Karen N.V; Widiastuti, Tiwuk
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 2 (2019): Volume 9 Nomor 2 Tahun 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1032.848 KB) | DOI: 10.21456/vol9iss2pp177-184

Abstract

The problem of waste has not been handled well, especially in cities, including the city of Kupang.  Placing the right location of the trash can be one of solutions to the waste problem.  The purpose of this study is to combine decision support systems and geographic information systems to determine the location of TPS locations. There are two stages of analysis, the Brown Gibson method to determine which alternative is best for construction temporary landfill and the second analysis using the GIS approach to determine suitable point. The alternative is Neigborhoods (RT) in the Nefonaek, Kupang. The results showed that in the RT22, RT17, and RT18 which is outside the buffer area were selected as the best candidates for the new location of TPS. The system is tested in two ways, testing the blackbox using questionnaire on two respondents, and the accuracy that compares the results of the system and the results of expert. From the results of the blackbox testing, the percentage values for each GUI, Function, and information obtained were 94%, 92.5%, and 97.5%. And from Accuracy testing, obtained the value of accuracy on the first staff is 86.67% and for the second staff the accuracy value is 80%. From the two staffs obtained an average accuracy of 83.34%.
SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN PINJAMAN MENGGUNAKAN APLIKASI FUZZY SIMPLE ADDITIVE WEIGHTING Lorenso Kanuru; Dony M Sihotang; Bertha S Djahi
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.v6i1.352

Abstract

The loan service process is one of many routines applied to improve the welfare of either members or the community in cooperative. This process requires a high accuracy in selecting the eligible loans. Bad credits, that oftenly occurred in many cooperative membership, mainly caused by the lack of accuracy of the cooperative itself in selecting eligible loans based on the specific criterias. Implements and development for loan decision support system using Fuzzy Simple Additive Weighting (F-SAW) method. This method is able to accommodate the deficiancy of SAW in terms of providing linguistic assessments. The system is tested by comparing the system decision to the cooperative decision. According to 7 test data with loan amount below Rp 10,000,000 and 5 test data with loan amount between Rp 15,000,000 – Rp 20,000,000, it appears that 9 of them provide the same decision as what the committee decided (75%), while 3 of them do not (25%).
RANCANG BANGUN APLIKASI PREDIKSI CALON KREDITUR PADA BANK MUAMALAT KUPANG Abdul G Farid; Sebastianus Adi Santoso Mola; Dony M Sihotang
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.v5i2.358

Abstract

The implementation of stored-transaction data can provide a lot of useful knowledge to createbusinesses intelligence in Muamalat Bank. But Muamalat Bank has not done it yet; so, it will be difficultto give credits to the creditors. This study aimed to create business intelligence in terms of prospectivecreditors prediction. It was expected that it could predict creditors in making payments using old existingcreditors forms data. The research applied the K-Nearest Neighbor algorithm (K-NN) where thisalgorithm looking for similarly between render candidates and old creditors as much as k values thatstill or have done their lends to Muamalat Bank Kupang. The result of this research shows that with KNNalgorithm, a creditor can be predict using data comparism. Highest accuracy can be reach when kvalue=5, with accuracy level up to 80%.
PEMBUATAN APLIKASI DIGITAL LIBRARY DI JURUSAN ILMU KOMPUTER UNIVERSITAS NUSA CENDANA BERBASIS WEB Farmi S Radjatadoe; Dony M Sihotang; Meiton Boru
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.v5i2.363

Abstract

The development of digital library (digital library) can not be separated from the development of information technology. Digital library (digital library) is built on web technology, which allows accessing collections of digital files by users, whenever and wherever the user's position is through the internet. Computer Science Department Library had information stored physical forms such as books, theses, journals and various other scientific work is a collection of 115 pieces. However, management is still closed in the sense just for the students and lecturers so that still untapped by many. Application is a web-based digital library using a global network of media, namely the Internet. Making these applications using the programming language PHP and MySQL as database. For the development of applications using the System Development Life Cycle (SDLC) Waterfall models. Based on black box testing can be seen that in running applications run well because the test result consistent with the result expected by the internal user and based on internal testing results of questionnaire use applications, the largest percentage in the results of a questionnaire on the aspects of software engineering that is 66,25 % (response 5 = very good), on the aspects of functionality that is 67,5 % (response 5 = very good) and on the aspects of visual communication that is 77,5 % (response 5 = very good). With the use of a questionnaire testing the application using Likert’s Summated Rating Method (LSR), the overall total score (1000) on the interpretation of LSR, program is considered successful.
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.
SISTEM PENDUKUNG KEPUTUSAN CALON PENERIMA RASKIN DENGAN METODE POLYGONS AREA METHOD (PAM) DI KELURAHAN AIRNONA-KOTA KUPANG Reza S Baliara; Dony M Sihotang; Arfan Y Mauko
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.v6i2.514

Abstract

Raskin (Beras Miskin) is one of the Indonesian government programs to help reduce the expenditure of the poor people. This program is conducted by Bulog and Local Government. Raskin distribution procedure at Airnona sub-district is still using manual method, that those who will receive Raskin is submitted by RT, so that a Decision Support System (DSS) is needed to help handle the problem. The PAM (Polygons Area Method) method is one of the methods in DSS which can help solve unstructured problems. This study uses 8 criteria namely, monthly income, quantity of dependents, floor area of the house, the type of house floor, type of the house wall, assets, lighting source, and drinking water source. System test is done by comparing the ranking system with the name issued by Dinas Sosial. This test uses 66 interview data with 2016 recipient data resulting in similarity rate of 43% and unsimilarity rate is 57%. During then analysis on several data the conclusion is system able to provide good result.
PENERAPAN METODE TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) DALAM PENENTUAN UANG KULIAH TUNGGAL DI UNIVERSITAS NUSA CENDANA Benyamin Libing; Dony M Sihotang; Meiton Boru
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.v7i1.879

Abstract

Uang Kuliah Tunggal (UKT) merupakan kebijakan pemerintah untuk membantu masyarakat kurang mampu memperoleh pendidikan sampai ke perguruan tinggi. Dalam penentuan UKT, Universitas Nusa Cendana menggunakan metode wawancara. Banyaknya jumlah mahasiswa baru yang diwawancarai untuk menetapkan UKT maka mempengaruhi tingkat keletihan dari pewawancara dan juga mempengaruhi keputusan yang diambil tidak lagi bersifat objektif, sehingga perlu sebuah Sistem Pendukung Keputusan (SPK) untuk membantu menangani masalah tersebut. Metode TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) merupakan salah satu metode dalam SPK yang dapat membantu menyelesaikan masalah tidak terstruktur. Sistem akan menyeleksi setiap alternatif menggunakan lima kriteria yaitu pendapatan orang tua, rekening air dan listrik, aset, jumlah tanggungan dan pekerjaan. Hasil dari pengujian senstifitas perubahan bobot, yang paling besar yaitu pada rekening air dan listrik dengan 91.66% dan yang paling sedikit yaitu pada pekerjaan dengan 35%. Sedangkan pengujian akurasi standar memperoleh hasil 26.66%.
PENGENALAN POLA SIDIK JARI DENGAN METODE LOCAL BINARY PATTERN DAN LEARNING VECTOR QUANTIZATION Adriana Fanggidae; Dony M Sihotang; Adnan Putra Rihi Pati
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.v7i2.1635

Abstract

Fingerprint is the generic structure in the form of a very detailed pattern and a sign that inherent in human beings. Many biometric systems using fingerprint as input data, because the nature of each individual is different although identical twins and do not change unless got a accident. The method used in this research is image segmentation using Otsu thresholding algorithm, feature extraction using Local Binary Pattern (LBP) algorithm and the learning method using Learning Vector Quantization (LVQ) algorithm. The used data is grayscale fingerprint image with 200x300 pixel and *.jpg extension format. The fingerprint image is composed of 25 people, each person has 6 training data and 2 test data. Experiment of training data and test data conducted for four systems, namely the system with characteristics of LBP = 8, 64, 128 and 256 and their respective uses 2 pieces of data set where data set 1 amounted to 15 people and data set 2 amounted to 25 people. The fourth experiment results show that the system is a system with a number of LBP characteristics = 128 is a system with the best combination of high system accuracy and fast learning time.
PENERAPAN LOGIKA FUZZY MENGGUNAKAN METODE MAMDANI DALAM OPTIMASI PERMINTAAN OBAT Inggrid Raga Djara; Tiwuk Widiastuti; 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.v7i2.1645

Abstract

Planning a good drug supply at the puskesmas is needed to support health services provided by the puskesmas, in addressing the problem of planning drug requests to suit the needs that exist, the researcher uses Mamdani method in fuzzy form that are making fuzzy set, application of rule function, composition rule, affirmation (defuzzy) using method of MOM (Mean of Maximum). Parameters used are initial stock, receipt, preparation, use, ending and demand stock. The calculation was performed using data for 2 years, and it was done 1 year to compare the results of the Health Centre request and the system request. From the test results, the total system demand is smaller than the total demand for Puskesmas, so the system optimization is obtained at 7.623% for 3 drug data so that it can increase the efficiency of the budget funds of Rp. 3,168,223, so it can be concluded that the Fuzzy Mamdani method is a method that provides optimal solutions
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%.
Co-Authors Abdul G Farid Adnan Putra Rihi Pati Adriana Fanggidae Adriana Fanggidae Arfan Y Mauko Arfan Y Mauko Benyamin Libing Bertha S Djahi Bertha S. Djahi Boru, Meiton Derwin R Sina Emanuel Tes Atok Farmi S Radjatadoe Inggrid Raga Djara Jamaludin Abdullah Kornelis Letelay Lehot, Fransisco Ronaldo Lorenso Kanuru Mbatu, Dinda Permata Meiton Boru Meiton Boru Meiton Boru Nelci D. Rumlaklak Redian A Sina Reza S Baliara Sebastianus Adi Santoso Mola Sultani, Akhzan Akbar Tarus, Karen N.V Tiwuk Widiastuti Yulianto Triwahyuadi Polly