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Journal : Journal of Computer Science and Informatics Engineering (J-Cosine)

Penerapan Metode Backpropagation Dalam Memprediksi Jumlah Kunjungan Wisatawan Ke Provinsi Nusa Tenggara Barat (NTB) Komang Triantita Neti Lestari; Moh Ali Albar; Royana Afwani
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 1 (2019): June 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1269.857 KB) | DOI: 10.29303/jcosine.v3i1.236

Abstract

Based on the of tourist visits of West Nusa Tenggara from 2013 to 2017 obtained from Tourism Office of NTB Province the number of tourist visits changes every year. a prediction is needed to estimate the number of tourist visits in the upcoming year to help the government in making policy. The Tourism Office currently estimates the tourist visit based on the events that will be carried out. There are no mathematic calculations in estimations. This study uses Backpropagation to predict the number of tourist visits. Backpropagation is a good and accurate in predicting process involving fluctuating data. This study aims to examine the effectiveness of the backpropagation in predicting the number of tourist visits based on the minimum value of the Mean Square Error (MSE). Using a maximum iteration of 1500, learning rate 0.3 and the number of hidden layers 21 produces the minimum MSE value of 0.003901 and the prediction of tourist visits in 2018 has the most tourist arrivals in July 2018 of 465.202 tourists and the lowest visit was in February 2018, which estimated to 236.864 tourists.
Deteksi dan Pencegahan Serangan Wormhole pada Protokol Routing AOMDV menggunakan Gabungan Metode Delphi dan RTT-TC pada Jaringan MANET Nini Kurnia Safitri; Andy Hidayat Jatmika; Moh. Ali Albar
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 1 (2019): June 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (218.634 KB) | DOI: 10.29303/jcosine.v3i1.242

Abstract

Mobile Ad Hoc Network (MANET) is a network consisting of a group of mobile nodes that don't have a fixed infrastructure. This causes the MANET to be vulnerable to attacks that can interfere with the process of communication and data transmission on the network. One type of attack that can attack the MANET is a wormhole attack. The wormhole is an attack on a network where there are two or more wormhole nodes that are interconnected and work together to attack network traffic or discard data packets it receives. Each wormhole node will be connected to each other using a wormhole link. To prevent wormhole attacks, the method that can be used is the Delay Per Hop Indicator (Delphi) method and the Round Trip Time and Topological Comparison (RTT-TC) method. The Delphi detects wormhole attacks by calculating the delay in each hop from the source node to the destination node. Whereas in the RTT-TC, wormhole attacks are detected by calculating the value of round trip time and topological comparison. The Delphi and RTT-TC methods have their advantages and disadvantages. In this study, it was proposed to combine the Delphi and RTT-TC methods to cover the disadvantage of each method.
Jaringan Syaraf Tiruan Model Backpropagation untuk Peramalan Suhu Minimum dan Maksimum, Kelembaban, Tekanan Udara, Jumlah Hari Hujan, dan Curah Hujan Bulanan di Kota Mataram Ida Nyoman Tegeh Adnyana; I Gede Pasek Suta Wijaya; Mohammad Ali Albar
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 2 (2019): December 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1133.333 KB) | DOI: 10.29303/jcosine.v3i2.259

Abstract

Climate conditions are very influential on various sectors of human life, such as agriculture. Extreme climate can affect the planting and harvest period which can eventually lead to crop failure. Climate forecasting can be done to help mapping the planting period so that agricultural productivity is optimal. Artificial neural network is a method that can be used to forecast climate in the future. In this research, a backpropagation model was used to forecast monthly data on minimum and maximum temperatures, humidity, air pressure, number of rainy days, and rainfall in Mataram city. The accuracy of forecasting result is measured based on MSE (mean square error). Based on the research conducted, the MSE of testing phase are minimum temperature 3.59 x 10-3, maximum temperature 1.97 x 10-4, humidity 2.11 x 10-3, air pressure 2.50 x 10-3, number of rainy days 7.97 x 10-4, and rainfall 1.00 x 10-3.
Rancang Bangun Aplikasi Tes Psikologi Online Berbasis Web untuk Menunjang Keputusan Kelas Peminatan Siswa (Studi Kasus Biro Instrumentasi Bimbingan Konseling Empatik Mataram) Riga Anggraini Putri; Moh. Ali Albar; Nadiyasari Agitha
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 4 No 1 (2020): June 2020
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (555.98 KB) | DOI: 10.29303/jcosine.v4i1.312

Abstract

Decisions of specialization classes in high school students can be made based on the recommendations of the psychology test results. At SMAN 1 Selong in collaboration with a certified institution namely Biro Instrumentasi Bimbingan dan Konseling Empatik Mataram to execute the tests. In this case, the psychological test system is still manual, the manual system of psychological testing activities requires a lot of cost and time. The results of these psychological tests are analyzed manually by institutional experts to obtain results from specialization classes and require a long time. Based on these problems, an online psychology test application was designed and built to streamline time costs. Psychological test results are analyzed automatically using the weighted product method to get the results of recommendations accurately and quickly. The criteria used by the weighted product method to obtain student specialization class recommendations are 13 criteria consisting of sub-tests on psychological tests. The suitability between the results of expert recommendations and weighted product recommendations is 70%. System testing uses the method of BlackBox testing and Mean Opinion Score (MOS). The results of testing the BlackBox method on functions that exist on the system have valid conclusions or the system can run as expected. The results of testing using MOS with 30 respondents on average 4.4 categorized the system running well.
Rancang Bangun Aplikasi Pelaporan Keadaan Darurat di Kota Mataram(Studi Kasus Nomor Panggilan Darurat 112) I Made Dwi Mahardika; Royana Afwani; Moh. Ali Albar
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 4 No 1 (2020): June 2020
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (782.975 KB) | DOI: 10.29303/jcosine.v4i1.323

Abstract

Emergencies can occur anywhere and anytime, where handling these emergencies must be done quickly. This research was conducted to design and build an emergency reporting system in the city of Mataram. The emergency reporting system that was built took the workflow from the emergency call number 112. The system will be used by 4 users namely the citizen as a emergency reporter, call taker emergency call number 112 from Diskominfo as an information processor, admin as a call taker information processor and units such as ambulances and firefighters as the action takers of the submitted report. The system runs in 2 platforms, namely the web pages used by call takers and Android, which are used by the public and action units. The system is tested using the mean opinion score and black box testing. The results obtained by using the mean opinion score test is 3.6 or the fair category.
Implementasi Service Oriented Architecture (SOA) pada Sistem Pencatatan Keuangan untuk UMKM: Implementation of Service Oriented Architecture (SOA) in the Financial Recording System for UMKM Royana Afwani; Muhammad Iksanul; Moh. Ali Albar
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 6 No 1 (2022): June 2022
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v6i1.325

Abstract

One of the indications of a UMKM's success is financial statements. UMKM can use SAK EMKM to prepare financial reports. Many UMKM, on the other hand, have yet to incorporate SAK EMKM. UMKM can use information technology to improve its financial records. With the quantity and scope of UMKM, as well as the demand for information technology, flexible systems must be established on a variety of platforms in order to be sustainable. As a result, SOA must be used in the financial recording system for UMKM. As a result of these issues, a SOA-based Financial Recording System was developed. SOA allows the system to be more adaptable and reusable. The system built consists of a service provider and a cloud consumer. Owners of UMKM can use the Android application to keep financial records and generate reports from service providers. According to the results of the Black Box approach, every service offered at the service provider, as well as the cloud consumer's function, has been performing as predicted. And, according to the proprietor of UMKM, the system has been performing admirably.