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Journal of Information Technology and Computer Science (JOINTECS)
Published by Universitas Widyagama
ISSN : 25413619     EISSN : 25416448     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics
JOINTECS terbit 2 (dua) kali dalam setahun, yaitu pada bulan Agustus dan Pebruari dengan versi cetak p-ISSN: 2541-3619 dan versi elektronik dengan sistem OJS dengan e-ISSN: 2541-6448. (medio online) yang mewajibkan setiap naskah yang masuk, proses review, editing, sampai pada publikasi, dan semua yang berhubungan dengan sistem, wajib menggunakan Open Journal Sistem (OJS). JOINTECS dapat diakses melalui website http://publishing-widyagama.ac.id/ejournal-v2/index.php/jointecs yang telah mendukung penuh fitur-fitur OJS tersebut.
Arjuna Subject : -
Articles 7 Documents
 1 
Search results for , issue "Vol 5, No 1 (2020)" : 7 Documents clear
Perancangan Sistem Presensi Untuk Pegawai Dengan RFID Berbasis IoT Menggunakan NodeMCU ESP8266 Kukuh Prasetiyo Aji; Ucuk Darusalam; Novi Dian Nathasia
JOINTECS (Journal of Information Technology and Computer Science) Vol 5, No 1 (2020)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.955 KB) | DOI: 10.31328/jointecs.v5i1.1222

Abstract

At present there are still many government offices, especially the tourism and cultural offices of the Thousand Islands, which do not utilize technology for employee attendance, resulting in frequent manipulation of attendance data. Manual presence can cause the tourism office to have to manually record a large amount of attendance data, and make the process ineffective and inefficient. Therefore, this study aims to discuss the Employee Presence System Design with IoT (Internet of Things) Based RFID Using NodeMCU ESP8266. So this research can facilitate the Department of Tourism for the present system of attendance for employees to be more effective and efficient and does not take much time. This system is integrated with the website so that when the employee makes a presence, the data is automatically saved directly into the website database. Database processing on websites using MySQL with the PHP programming language. From several tests, many types of cards can be read by RFID Reader, because these
Analisa Keamanan Jaringan Menggunakan Network Intrusion Detection and Prevention System Hendri Alamsyah; Riska -; Abdussalam Al Akbar
JOINTECS (Journal of Information Technology and Computer Science) Vol 5, No 1 (2020)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (353.642 KB) | DOI: 10.31328/jointecs.v5i1.1240

Abstract

Security is an important aspect to be considered in computer networks. This security system can be a detection and prevention of attacks that are being done by the attacker (intruders). The problem of attacks that occur in computer networks is that intruders can do port scanning, enter the system using open ports such as telnet, ftp and others.. The purpose of this study is the implementation of IDPS, can be from. To do network security from various attack threats, a system that can detect and prevent it directly is needed. The method that can be used is Intrusion Detection and Prevention System (NIDPS). NIDPS can exchange and block the attacks. This security system is collaborated with IP Tables. IP Tables is used to filter incoming data packets and drop packets of data that are indicated by attack. With the Intrusion Detection and Prevention system, it can detect attacks and prevent them by blocking data packets sent by intruders through port scanning, FTP attacks, and telnets.
Model Supply Chain Management (SCM) Pada Pupuk Organik Berbahan Cacing Aviv Yuniar Rahman; Bagus Setyawan; Feddy Wanditya Setiawan; April Lia Hananto
JOINTECS (Journal of Information Technology and Computer Science) Vol 5, No 1 (2020)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (742.732 KB) | DOI: 10.31328/jointecs.v5i1.1198

Abstract

Supply chain management has an integrated system that can manage the entire process in preparing a product or service for all consumers. For this reason, supply chain management is one of the most important strategies in knowing the needs of customers. One example of the application in supply chain management that is currently done in Malang is a small and medium enterprise (MSME). These small and medium businesses use worm media as fertilizer. The business has two manufacturing processes namely solid fertilizer and liquid fertilizer. In the supply chain management model using 3 different models and can be known the comparison between the first SCM model to the third SCM model. The difference starts from the first SCM model that is 9:11 wherein a supply chain process from the beginning to the end it can still have an error of 2 times the error in structured management. And in the second SCM model that is 10:11 were in a supply chain process from beginning to end still has an error of 1 time in structured management. In the third SCM model 11:11 which states that in a supply chain process from beginning to end there are no errors in structured management. And in this 3rd SCM model, it can be said to be a very efficient model in the supply chain process.
Rancang Bangun Aplikasi Kraepelin Test Berbasis Web Menggunakan Metode Bubble Sort Harmein Pane; Fauziah -; Nurhayati -
JOINTECS (Journal of Information Technology and Computer Science) Vol 5, No 1 (2020)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jointecs.v5i1.1244

Abstract

Psychological testing has now become an important enough part of life to be able to understand and recognize one's potential and personality. One of the instruments used by psychologists is Kraepelin test. Kraepelin test is part of a psychological test that measures speed, accuracy, constancy, and endurance at work. The scoring process is currently done manually, so it requires time, calculation process and high accuracy, for this research makes a website-based application with the aim to facilitate scoring so that it can anticipate misperceptions about the results of other people's tests because scoring errors are done manually. Kraepelin test in this application uses the UI version which amounts to 40 question lines referring to the standard standards of the Kraepelin Test norm. To maintain the rigidity of the problem, the Bubble Sort method is used. Psychology Expert Test obtained the percentage of suitability between the application with the manual, namely: Panker (Speed) 100%, Tianker (Accuracy) 100%, Janker (Constancy) 100% and Hanker (Endurance) 100%.
Implementasi Sinkronisasi Database Berbasis RESTful Web Services pada Aplikasi Presensi Deny Kristianto Pamuji; Mahmud Yunus; Dinny Wahyu Widarti
JOINTECS (Journal of Information Technology and Computer Science) Vol 5, No 1 (2020)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jointecs.v5i1.1190

Abstract

3PM Solution is one company with high employee mobility. To make a presence, a mobile presence system uses an application, so employees do not have to be present in the official to attend. However, new problems arise when employees cannot to the internet, which causes employees to be unable to attend. To overcome these problems, a synchronization method will be implemented which allows the application to run offline so that it does not have dependency on the internet network. Based on the research result obtained that the synchronization method is able to make the presence application run offline. The application is able to get 100% success from a total a 25 repetitions of offline attendance simulation and synchronization of attendance data in the testing process.
Implementasi Encapsulation Jaringan Redudansi VLAN Menggunakan Metode Hot Standby Router Protocol (HSRP) Hendy Dwi Haryoyudhanto; Iskandar Fitri; Andri Aningsih
JOINTECS (Journal of Information Technology and Computer Science) Vol 5, No 1 (2020)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (465.562 KB) | DOI: 10.31328/jointecs.v5i1.1247

Abstract

Local Area Network is currently often used to minimize a public work, different network segmentation in a building requires attention in designing a network that has dense traffic and often occurs down and vails over on a network flow, certainly requires performance optimal and efficient network, by way of network encapsulation with one channel and dividing each network segmentation by VLAN. The purpose of this paper is to apply a design by optimizing a network using the network redundancy method to create a more optimal network. This redundancy method is a method that moves a network path when downtime occurs on one of the routers that are automatically changed to an active router and a standby router. In the implementation of the design using GNS3 software to create network topology and design. With the results of tests that have been carried out using the simulator, packet loss from using the HSRP method is at VLAN10 0.11%, VLAN20 0.13%, VLAN30 0.30%, VLAN40 0.13%, VLAN50 0.22% AND VLAN60 0.16%. So the purpose of research makes a network more optimal and flexible
Aplikasi Pendeteksi Penyakit Pada Daun Tanaman Apel Dengan Metode Convolutional Neural Network Guntur Wicaksono; Septi Andryana; Benrahman -
JOINTECS (Journal of Information Technology and Computer Science) Vol 5, No 1 (2020)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (524.31 KB) | DOI: 10.31328/jointecs.v5i1.1221

Abstract

According to 2017 statistical fruit and vegetable crops published by BPS, total apple production in 2017 amounted to 319004 tons. There are many diseases that can attack apple plants, therefore early detection and identification of plant diseases are the main factors to prevent and reduce the spread of apple plant diseases. CNN method is used in this study with LeNet-5 architecture which can process 3151 imagery data with a mini-mum accuracy level of 75%. This study uses a dataset derived from PlantVillage created by SP Mohanty CEO & Co-founder of CrowdAI with a total of 3151 leaf images that have been classified according to their respec-tive classes. CNN stages include Convolution Layer, Rectified Linear Unit (ReLU), Subsampling, Flattening, Fully Connected Layer. The test results are evaluated using image testing data. The evaluation process is done using a confusion matrix. Based on the results of testing applications that are designed with 99,4% model ac-curacy and 97,8% validation accuracy, the application is useful for detecting apple disease using apple leaf images.

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