Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

1.434

P-Index

This Author published in this journals

All Journal International Journal of Electrical and Computer Engineering JOIV : International Journal on Informatics Visualization ILKOM Jurnal Ilmiah MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal SASAK : Desain Visual dan Komunikasi Jurnal Bumigora Information Technology (BITe) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA)

Dadang Priyanto

Universitas Bumigora

Author-ID : 5333166

Arts Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

Published : 13 Documents Claim Missing Document

Claim Missing Document

Articles

1 2

Analysis of earthquake hazards prediction with multivariate adaptive regression splines Dadang Priyanto; Muhammad Zarlis; Herman Mawengkang; Syahril Efendi
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp2885-2893

Earthquake research has not yielded promising results, either in the form of causes or revealing the timing of their future events. Many methods have been developed, one of which is related to data mining, such as the use of hybrid neural networks, support vector regressor, fuzzy modeling, clustering, and others. Earthquake research has uncertain parameters and to obtain optimal results an appropriate method is needed. In general, several predictive data mining methods are grouped into two categories, namely parametric and non-parametric. This study uses a non-parametric method with multivariate adaptive regression spline (MARS) and conic multivariate adaptive regression spline (CMARS) as the backward stage of the MARS algorithm. The results of this study after parameter testing and analysis obtained a mathematical model with 16 basis functions (BF) and 12 basis functions contributing to the model and 4 basis functions not contributing to the model. Based on the level of variable contribution, it can be written that the epicenter distance is 100 percent, the magnitude is 31.1 percent, the location temperature is 5.5 percent, and the depth is 3.5 percent. It can be concluded that the results of the prediction analysis of areas in Lombok with the highest earthquake hazard level are Malaka, Genggelang, Pemenang, Tanjung, Tegal Maja, Senggigi, Mangsit. Meninting, and Malimbu.

Pengembangan Profil Outlet Pada Pusat Perbelanjaan Mataram Mall Lalu Arkan Zuhaedi; Dadang Priyanto
Jurnal SASAK : Desain Visual dan Komunikasi Vol 1 No 1 (2019): SASAK
Publisher : Universitas Bumigora

Ilmu pengetahuan dan teknologi informasi berkembang cukup pesat dan menghasilkan inovasi-inovasi baru yang senantiasa terus berubah ke arah yang lebih baik. Pada kenyataannya masih banyak pusat perbelanjaan atau toko yang membuat pembelinya kesusahan untuk mengetahui dan mencari produk yang diinginkan, karena bangunan pusat perbelanjaan yang begitu luas dengan banyak toko atau outlet yang berjejer didalamnya. Berdasarkan pemaparan diatas penulis akan mengembangkan sebuah aplikasi profil outlet pada pusat perbelanjaan berbasis multimedia. Agar informasi dari masing-masing toko atau outlet tersebut dapat di sampaikan dengan lebih interaktif, menarik, dan mempermudah pengunjung mencari barang yang di butuhkan. Metode pengembangan yang digunakan oleh penulis pada penelitian ini adalah metode versi Luther Sutopo yang memiliki enam tahap yaitu tahap Concept (Konsep), Design (Perancangan), Material Collecting (Pengumpulan Bahan), Assembly (Pembuatan), Testing (Ujicoba) dan Distribution (Distribusi). Hasil atau keluaran yang akan dicapai yaitu sebuah aplikasi profil outlet pada pusat perbelanjaan mataram mall berbasis multimedia yang melibatkan elemen-elemen multimedia seperti teks, gambar, suara, dan animasi yang dikemas dalam media penyimpanan DVD yang dapat dijalankan di media elektronik yaitu PC (Personal Computer). Kesimpulan yang diperoleh selama melakukan penelitian ini, penulis dapat menyimpulkan bahwa aplikasi yang dibangun sangat membantu pengunjung dalam proses pencarian informasi toko atau outlet dengan lebih mudah dan cepat.

SISTEM APLIKASI UNTUK KEAMANAN DATA DENGAN ALGORITMA 'DES' (Data Encryption Standard) Dadang Priyanto; Raisul Azhar
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 16 No 1 (2016)
Publisher : LPPM Universitas Bumigora

Data is very important its existence to be protected if the data has a value, or a specific confidentiality. There are so many techniques that can be used to secure the data, one is to apply the method Encryption and Decryption. In the Encryption Method and Description using various types of algorithms. Applications built using algorithms Encription Data Standard (DES). This algorithm emphasizes on input (plaintext) whose length is 64 bits and a key length of 56 bits, and through 16 stages or iterations. Results from making this application can be used to encrypt all files except the video. This application has an encryption rate of 3 sec / each file capacity of 1024 bytes. The rate of speed encryption and decryption with polygons forming linear graph is a straight line.

MEDIA BANTU PEMBELAJARAN IPA SMP SEBAGAI BEKAL MENGHADAPI UJIAN NASIONAL (UN) Muhammad Hairul Abror; Dadang Priyanto
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 15 No 1 (2015)
Publisher : LPPM Universitas Bumigora

Ujian National (UN ) is one tool evaluation issued by the government which is the appropriate measurement tool to measure the level of achievement of educational goals that have been set. One of the challenges for students of schools during the school beforehand through the UN process be it elementary, junior high and high school. As is known, to fnish his previous students have to face the evaluation process, namely Ujian Nasional, and to pass the evaluation of the value of the good is not easy. That requires a media that can help students in the learning process before the Ujian National. Media made using multimedia elements such as text, images, sound, and animation. The development method used by the authors in this study is the method ADDIE which has fve stages, namely stage Analysis, Design, Development, Implementation, and Evaluation. The instructional media of Natural Science for Yunior School to prepare UN ” From the results obtained during this study, the authors conclude that the media are built to help students in the learning process before facing Ujian National (UN)

SISTEM INFORMASI PENGADAAN BARANG LANGSUNG BERBASIS CLIENT-SERVER (Study Kasus di Universitas Mataram) Musta’an Musta’an; Dadang Priyanto
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 15 No 2 (2016)
Publisher : LPPM Universitas Bumigora

Te procurement of infrastructure for Faculty of Engineering, University of Mataram was conducted through the direct of purchasing, but the process as such ofen remain the administrative obstacle in the process. To avoid the intricate troubles, such as; the number of packets, limited resources, and time issued during the process as well, needed the client server-based information system rather than the computerization manually. Te method implemented was the waterfall for information, and the result was the system of direct purchasing with the client server-based that implemented on Java Netbeasn 8.0 and PostgreSQL 9.0 using Model View Control (MVC) concept for diminishing the false.

Implementasi Media Pembelajaran dengan Augmented Reality untuk Pengenalan Makanan Sehat Dan Bergizi Dadang Priyanto; Ahmad Deri Dustury; Apriani Apriani
Jurnal Bumigora Information Technology (BITe) Vol 4 No 2 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i2.2438

The current application of Augmented Reality (AR) technology in various fields such as games, social media, business, military, medicine and including education. This research will utilize AR in learning for grade 3 students at Barujulat 1 Public Elementary School. The problem is that the 2013 revision of the 2018 curriculum is used and uses books as study guides. From interviews with teaching teachers, students have difficulty understanding various types of healthy food related to material according to the syllabus in sub-theme 2 of learning 3 about Food Important for Health, and this condition is exacerbated by the Covid-19 pandemic situation which requires students to study online and independently at home. The purpose of this study was to make a learning application for the introduction of healthy and nutritious eating with AR for class 3 of SDN 1 Barujulat. The method used in this research is the ADDIE development method developed by Dick and Carry. The results of this study, according to the syllabus used, can improve and facilitate students' understanding in participating in learning about important foods for health. The test results for grade 3 students were 21 students/respondents, it was found that 52% of respondents said this application could increase interest in learning, and 76% of respondents said that this application could facilitate understanding of healthy and nutritious food learning materials.

Comparison of Naive Bayes and Dempster Shafer Methods in Expert System for Early Diagnosis of COVID-19 Nurdin Nurdin; Erni Susanti; Hafizh Al-Kautsar Aidilof; Dadang Priyanto
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 22 No 1 (2022)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i1.2280

COVID-19 is a respiratory infection disease caused by the corona virus. Transmission of this virus can spread very quickly so that the number of cases of the corona virus continues to grow and becomes an epidemic that spreads not only in Indonesia but also in other countries in the world. The purpose of this study is to build an expert system that is able to diagnose Covid-19 early by using a comparison of the Nave Bayes method and the Dempster Shafer method. The amount of data used in this study is 550 data, consisting of 500 training data and 50 testing data. While the variables used are symptoms related to COVID-19 as many as 17 symptoms consisting of G01, G02, G03, G04, G05, G06, G07, G08, G09, G10, G11, G12, G13, G14, G15, G16, G17. The diagnostic data consists of Suspected (PDP), Non-Suspected, and Close Contact (ODP). The results of the percentage test by comparing system diagnoses with expert diagnoses, for the nave Bayes method it has an accuracy of 96% with 48 diagnoses according to expert diagnoses from 50 tested data. Meanwhile, the Dempster Shafer method has an accuracy of 40% with 20 diagnoses according to expert diagnoses from 50 tested data. Based on the results of this study, the Naive Bayes and Dempster Shafer methods can be applied to an expert system for early diagnosis of COVID-19, from the results of the system testing the Naive Bayes method has better accuracy than the Dempster Shafer method.

Improvement Performance of the Random Forest Method on Unbalanced Diabetes Data Classification Using Smote-Tomek Link Hairani Hairani; Anthony Anggrawan; Dadang Priyanto
JOIV : International Journal on Informatics Visualization Vol 7, No 1 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.1.1069

Most of the health data contained unbalanced data that affected the performance of the classification method. Unbalanced data causes the classification method to classify the majority data more and ignore the minority class. One of the health data that has unbalanced data is Pima Indian Diabetes. Diabetes is a deadly disease caused by the body's inability to produce enough insulin. Complications of diabetes can cause heart attacks and strokes. Early diagnosis of diabetes is needed to minimize the occurrence of more severe complications. In the diabetes dataset used, there is an imbalanced data between positive and negative diabetes classes. Diabetes negative class data (500 data) is more than diabetes positive class (268), so it can affect the performance of the classification method. Therefore, this study aims to apply the Smote-Tomeklink and Random Forest methods in the classification of diabetes. The research methodology used is the collection of diabetes data obtained from Kaggle, as many as 768 data with eight input attributes and 1 output attribute as a class, pre-processing data is used to balance the dataset with Smote-Tomeklink, classification using the random forest method, and performance evaluation based on accuracy, sensitivity, precision, and F1-score. Based on the tests conducted by dividing data using 10-fold cross-validation, the Random Forest algorithm with Smote-TomekLink gets the highest accuracy, sensitivity, precision, and F1-score compared to Random Forest with Smote. The Random Forest algorithm with Smote-Tomeklink has 86.4% accuracy, 88.2% sensitivity, 82.3% precision, and 85.1% F1-score. Thus, using Smote-Tomeklink can improve the performance of the random forest method based on accuracy, sensitivity, precision, and F1-score.

The Performance Machine Learning Powel-Beale for Predicting Rubber Plant Production in Sumatera Siska Rama Dani; Solikhun Solikhun; Dadang Priyanto
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 2 No 1 (2023): March 2023
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v2i1.2420

This study aims to predict rubber plants in Sumatra; rubber plants have a relatively high economic value; rubber sap must be cultivated because it is a product of the rubber plant, which is the raw material for the rubber industry, so in large quantities. Therefore, rubber sap, the selling value will increase so that it can increase farmers' income. Rubber production in Sumatra experiences ups and downs; therefore, this study aims to predict rubber plants using the Powell-Beale algorithm method, one of the Artificial Neural Network methods often used for data prediction, implemented using Matlab software. That supports it. This study does not discuss the prediction results. Still, it discusses the ability of the Powell-Beale algorithm to make predictions based on datasets of rubber plant production in recent years obtained from the Central Statistics Agency. Based on this data, a network architecture model will be formed and determined, including 6-10-1, 6-15-1, 6-30-1, 6-45-1 and 6-50-1. The best architecture is 6-15-1, with the lowest Performance/MSE test score of 0.00791984.

Data Mining Earthquake Prediction with Multivariate Adaptive Regression Splines and Peak Ground Acceleration Dadang Priyanto; Bambang Krismono Triwijoyo; Deny Jollyta; Hairani Hairani; Ni Gusti Ayu Dasriani
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 22 No 3 (2023)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i3.3061

Earthquake research has not yielded promising results because earthquakes have uncertain data parameters, and one of the methods to overcome the problem of uncertain parameters is the nonparametric method, namely Multivariate Adaptive Regression Splines (MARS). Sumbawa Island is part of the territory of Indonesia and is in the position of three active earth plates, so Sumbawa is prone to earthquake hazards. Therefore, this research is important to do. This study aimed to analyze earthquake hazard prediction on the island of Sumbawa by using the nonparametric MARS and Peak Ground Acceleration (PGA) methods to determine the risk of earthquake hazards. The method used in this study was MARS, which has two completed stages: Forward Stepwise and Backward Stepwise. The results of this study were based on testing and parameter analysis obtained a Mathematical model with 11 basis functions (BF) that contribute to the response variable, namely (BF) 1,2,3,4,5,7,9,11, and the basis functions do not contribute 6, 8, and 10. The predictor variables with the greatest influence were 100% Epicenter Distance and 73.8% Magnitude. The conclusion of this study is based on the highest PGA values in the areas most prone to earthquake hazards in Sumbawa, namely Mapin Kebak, Mapin Rea, Pulau Panjang, and Pulau Saringi.

Co-Authors Ahmad Deri Dustury Ahmad Robbiul Iman Alyauma Hajjah Anthony Anggrawan Apriani Apriani Ayu Dasriani, Ni Gusti Azhar, Raisul Deny Jollyta Efendi, Syahril Erni Susanti Hafizh Al-Kautsar Aidilof Hairani Hairani Herman Mawengkang Lalu Arkan Zuhaedi Marlim, Yulvia Nora Muhammad Hairul Abror Muhammad Nur Muhammad Zarlis Musta’an Musta’an Nurdin Nurdin Prihandoko . Siska Rama Dani Solikhun Solikhun Triwijoyo, Bambang Krismono

Title

Found 13 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 13 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 13 Documents
Search