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All Journal TEKNIK Jurnal Pendidikan dan Pengajaran Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Ilmiah Pendidikan Pancasila dan Kewarganegaraan Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JAMBURA JOURNAL OF PROBABILITY AND STATISTICS
Gunawan, Vincentius Abdi
Department Of Electrical Engineering, Faculty Of Engineering, University Of Palangka Raya
Aerospace Engineering Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences

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PENGEMBANGAN SISTEM INFORMASI E – PETANI DAN IMPLEMENTASI SHORT MESSAGE SERVICE (SMS) GATEWAY HASIL ARGIBISNIS TANAMAN PERKEBUNAN KARET DAN SAWIT Vincentius Abdi Gunawan; Marhayu Marhayu; Licantik Licantik; Nova Noor Kamala Sari
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 11 No. 2 (2017): Jurnal Teknologi Informasi Jurnal Keilmuan dan Aplikasi Bidang Teknik Informat
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v11i2.655

Abstract

The internet technology has been progressed very rapidly along by the time. It has resulted onefacility that is used in many aspects of living sector, known as website. Now, in the globalization era,website is used widely in many sectors of life such as education, social, health and business.This journal aims to create an information website of Electronic Farmer Agricultural OfficePulang Pisau Regency which uses notepad + +, PHP script and MySQL database that can be used onthe Windows operating system.The method that is used in collecting data such as interview by doing question and answerdirectly to the section that is connected to the object of the study. Direct observation is used to conveythe information. That is progressing in Electronic Farmer Agricultural Office Pulang Pisau Regencywith implementation SMS Gateway as a means of disseminating information to farmers andsurrounding communities. The literature review in collecting data by learning literature books aboutplan and design of one system. System design and data base planning are used by data flow diagram tocreate system model and entity relational diagram that describe the model of data relation.It is hoped the presence of this website can help the Agricultural Office Pulang Pisau Regencyin publish information Agricultural Office and information about farmers widely through the internetor by using SMS so that help people get information about Agricultural Office Pulang Pisau Regencyand information on prices of agricultural products.
SISTEM IDENTIFIKASI DINI PENYAKIT STROKE DENGAN MENGGUNAKAN JARINGAN SYARAF TIRUAN PERAMBATAN BALIK Leonardus Sandy Ade Putra; Eka Kusumawardhani; Putranty Widha Nugraheni; Lalak Tarbiyatun Nasyin Maleiva; Vincentius Abdi Gunawan
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 16 No. 2 (2022): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v16i2.5096

Abstract

Heart disease is a disease with the second-highest mortality rate in the world. This happens because of an unhealthy human lifestyle. This unhealthy lifestyle affects the performance of the body's organs in carrying out their functions. Stroke can be prevented by exercising regularly, eating nutritious foods, not consuming alcohol, and not consuming tobacco. One way to find out if someone is free from stroke or not can be done by medical check-ups. However, this method is quite expensive. Given these problems, this study aims to design an early identification system for detecting early-stage stroke. The system is designed by utilizing the condition and history of the subject for identification. This study uses a back propagation neural network for the classification process. Variations in the use of hidden layers in each experiment were used to obtain the highest accuracy in the training process. From the results of the study, it was found that the system designed can detect early stroke with an accuracy rate of 97.8%.
Comparing Logistic Regression and Support Vector Machine in Breast Cancer Problem Caecilia Bintang Girik Allo; Leonardus Sandy Ade Putra; Nicea Roona Paranoan; Vincentius Abdi Gunawan
Jambura Journal of Probability and Statistics Vol 4, No 1 (2023): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v4i1.19246

Abstract

There are several methods used for the classification problems. There are many different kinds of fields that can be used. Nowadays, Support Vector Machine (SVM) is a popular classification method that has been proposed by many researchers. Using the same method but different distribution methods for creating training and testing data in the same dataset can yield varying results in terms of prediction accuracy, which is crucial in classification. In this paper, we compare the prediction accuracy between SVM results and Logistic Regression results to determine the better method to  classify the current condition of the patient after undergoing some treatment.  Several treatments are used in this paper, including feature selection, feature extraction, separating the train and testing data using Holdout and K-Fold CV. Stepwise selection is done to reduce the features. Training and testing dataset is obtained using the five stratified and non-stratified holdout and five fold stratified and non-stratified cross validation. The result shows that the best method to classify the cancer dataset is five fold stratified cross validation SVM with radial kernel. The obtained accuracy is 81,816% with variance as much as 0,94%.
Peningkatan Identifikasi Kanker Kulit Actinic Keratosis Menggunakan Kombinasi Sistem Ekstraksi dengan Klasifikasi Support Vector Machine Leonardus Sandy Ade Putra; Vincentius Abdi Gunawan; Agus Sehatman Saragih
TEKNIK Vol. 44, No. 2 (2023): August 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v44i2.44895

Abstract

Nowadays, humans tend to carry out activities during the day, both indoors and outdoors. Activities carried out outdoors cause human skin to often receive direct exposure to sunlight, which contains ultraviolet (UV) rays. Direct exposure to UV rays on the skin will harm the skin's health, which is the covering of the human body. Harmful effects on the skin usually include the skin becoming dark and dull, burns, and even causes cancer. One of the skin cancers that may appear on human skin is Actinic Keratosis (AK) cancer. AK cancer is a type of cancer that is classified as benign and can be cured with medical help. However, if this cancer is not caught early, it can become Squamous Cell Carcinoma (SCC), a type of malignant cancer. This research aims to design a system for identifying AK cancer types using color and texture feature extraction. RGB color feature extraction is obtained from image color segmentation and RGB values. The Gray Level Co-occurrence Matrix (GLCM) method is used to determine the texture of the skin cancer. Identification is carried out by a classification process using a Support Vector Machine (SVM), which can recognize the type of AK cancer. This research uses three classification methods: classification with color extraction, classification with texture extraction, and classification with color and texture extraction. Research shows that the highest level of accuracy in cancer recognition reaches 96% by combining color and texture extraction results as classification determinants. So, the system designed has succeeded in recognizing the type of AK cancer early on..
Prasangka Positif Atas Perbedaan Agama dalam Konteks Resolusi Konflik Intergroup Relation Siswa Sekolah Menengah Pertama di Provinsi Aceh Triyani, Triyani; Karliani, Eli; Saefulloh, Ahmad; Gunawan, Vincentius Abdi
Jurnal Ilmiah Pendidikan Pancasila dan Kewarganegaraan Vol 7, No 1 (2022): Maret 2022
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (427.344 KB) | DOI: 10.17977/um019v7i1p1-7

Abstract

The purpose of this study was to analyze the positive prejudice against religious differences in the context of intergroup relation conflict resolution among junior high school students in Aceh Province. This study used a survey method by taking a sample of three schools. The researcher collected the data in State Junior High School 1 Banda Aceh, State Junior High School 2 Banda Aceh, and State Junior High School 19 Banda Aceh. The study results showed that 79 percent of students in problem solving did not look at their religious background, while 21 percent of students solved problems based on their religious background. The prejudice of 70 percent of students about the existence of religion was in a positive category. They tended to give the same treatment to friends with different religious backgrounds in solving a problem.
Klasifikasi Rambu Lalu Lintas Menggunakan Ekstraksi Ciri Wavelet Dan Jarak Euclidean Abdi Gunawan, Vincentius; Imelda Fitriani, Ignatia; Sandy Ade Putra, Leonardus
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 3 No. 1 (2019)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v3i1.105

Abstract

Driving is one of the human activities in which daily life is often done. Driving can be done by land, air, and sea. Human mobility in driving is very high on land routes using various means of transportation. For the sake of smooth driving, roads are often equipped with traffic signs in each traffic area. Traffic signs are a means for road users to provide information and guidance for motorists about the situation in the surrounding area. The number of motorists who lack awareness of the knowledge of reading traffic signs is one of the biggest causes of accidents in Indonesia. So that a system is needed that can help in recognizing traffic signs, especially prohibited signs. The system designed using Haar Wavelet feature extraction and Euclidean distance as a classification. From the data that has been tested, the level of recognition in reading traffic signs is prohibited by 92%.
Co-Authors Agus Sehatman Saragih Agus Sehatman Saragih Ahmad Saefulloh Bani, Wandy Hasim Caecilia Bintang Girik Allo Eli Karliani Fitriani, Ignatia Imelda Kristianingsih, Utami Puji Kusumawardhani, Eka Lalak Tarbiyatun Nasyin Maleiva Licantik Licantik Linggo Sumarno Marhayu Marhayu Nicea Roona Paranoan Nova Noor Kamala Sari Oktaviyani, Enny Dwi Putra, Leonardus Sandy Ade Putranty Widha Nugraheni Sahay, Abertun Sagit Sahay, Nugraha Sagit Triyani Triyani Viktor Handrianus Pranatawijaya Widiatry, Widiatry