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Ida Bagus Ary Indra Iswara
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lppm@stiki-indonesia.ac.id
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Kota denpasar,
Bali
INDONESIA
Jurnal RESISTOR (Rekayasa Sistem Komputer)
Published by STMIK STIKOM Indonesia
ISSN : 25987542     EISSN : 25989650     DOI : -
Jurnal RESISTOR merupakan jurnal yang diterbitkan oleh Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK STIKOM Indonesia, dengan P-ISSN 2598-7542 dan E-ISSN 2598-9650. Jurnal RESISTOR diterbitkan pertama kali pada bulan Oktober 2017 dan memiliki periode penerbitan sebanyak dua kali dalam setahun, yaitu pada bulan April dan Oktober.
Arjuna Subject : -
Articles 106 Documents
Analisis Data Pada Jaringan Sensor Nirkabel Menggunakan Metode Support Vector Machine Layadi, Caroline; Fajar, Mohammad; Hasniati, Hasniati; Musdar, Izmy Alwiah
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 1 (2018): Jurnal RESISTOR Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (968.13 KB) | DOI: 10.31598/jurnalresistor.v1i1.196

Abstract

The aims of this research are to implement Support Vector Machine for analyze abnormal data on sensor network and evaluate the implementation result. The data collection in the research were done through the searching of related libraries and software evaluate/testing. In this research, temperature, wind speed, and humidity tested using three kernels (linear, Gaussian, and polynomial). Evaluation result show that the implementation of Support Vector Machine can perform the best data validity analysis using Gaussian Kernel with the percentage of average accuracy, temperature 97.83%, humidity 94.5325%, and wind speed 96.93% for weather data 20-28 May and July 28-August 10, 2015. Meanwhile, for weather data June 5-6, 2017 obtained the percentage of average accuracy of temperature 92.855% and humidity 92.43%.
Prediksi Customer Churn dengan Algoritma Decision Tree C4.5 Berdasarkan Segmentasi Pelanggan untuk Mempertahankan Pelanggan pada Perusahaan Retail Wardani, Ni Wayan; Dantes, Gede Rasben; Indrawan, Gede
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 1 (2018): Jurnal RESISTOR Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (862.364 KB) | DOI: 10.31598/jurnalresistor.v1i1.219

Abstract

Customer is a very important asset for retail companies. This is the reason why retail companies should plan and use a fairly clear strategy in treating customers. With the large number of customers, the problem that must be faced is how to identify the characteristics of all customers and able to retain existing customers in order not to stop buying and moving to a competitor retail company. By applying the concept of CRM, a company can identify customers by segmenting customers while also being able to implement customer retention programs by predicting potential churn on each customer class. The data used comes from UD.Mawar Sari. Customer segmentation process uses RFM model to get customer class. UD. Mawar Sari customer class is dormant, everyday, golden and superstar. The construction of prediction models using the Decision Tree C4.5. The application of the prediction model obtains performance results, that is: Dormant: Recall 97.51%, Precision 75.18%, Accuracy 76.18%. Everyday: Recall 100%, Precision 99.04%, Accuracy 99.04%.  Golden: Recall 100%, Precision 98.84%, Accuracy 98.84%. Superstar: Recall 96.15%, Precision 99.43%, Accuracy 95.63%. Results of the evaluation with confusion matrix it can be concluded that the dormant customer class is a potentially churn customer class.
Analisis Rendering Video Animasi 3D Menggunakan Aplikasi Blender Berbasis Network Render Hartawan, I Nyoman Buda; Dirgayusari, Ayu Manik
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 1 (2018): Jurnal RESISTOR Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1117.291 KB) | DOI: 10.31598/jurnalresistor.v1i1.223

Abstract

Rendering is a process for generating a 2D or 3D image. The use of high computer specifications in the rendering process encourages the need for super computer provision. In this research is done rendering video 3D animation analysis using blender application based on network render. In this research used experimental research method, that is by giving variation of frame value to know execution time when done rendering process of 3D animation video. On each computer in the workstation is done Blender application configuration, as Master, Slave, and Client. The results show that 3D animation video rendering process has increased execution time along with increasing number of frames, but along with increasing number of Slave computer execution time of video rendering process of 3D animation has decreased.
Analisis Evaluasi Aplikasi Augmented Reality Untuk Informasi Kebudayaan Bali Berdasarkan Standar ISO 25010 Andika, I Gede; Yanti, Christina Purnama
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 1 (2018): Jurnal RESISTOR Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (798.74 KB) | DOI: 10.31598/jurnalresistor.v1i1.241

Abstract

Currently there are still many people of Bali who just know the museum is a place to store historical items but are reluctant to come. Therefore built an application that combines smartphone technology with Augmented Reality so that later can attract people to come visit the Museum of Bali. In order to obtain application results that meet the standards, evaluation is required to assess the quality of an application based on ISO 25010 standards. The software quality standards that are tested are aspects of functional suitability, usability, performance efficiency, and compatibility. Based on the results of all research that has been done, it can be concluded that the quality of Augmented Reality Museum Bali application has met the software quality standards that refer to the ISO 25010 standard. The result of testing the aspect of functional suitability is 100%. Usability aspect got the conclusion that AR Museum Bali application have aspect of learnability, efficiency, memorability, and satisfaction with good category. Performance performance aspect is 3 test and get average response time test 1 is 27.29 ms; test 2 of 38.52 ms; and test 3 of 20.31 ms. The compatibility aspect is 100%.
Penerapan Algoritma A* (Star) Menggunakan Graph Untuk Menghitung Jarak Terpendek Gede Wahyu Antara Dalem, Ida Bagus
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 1 (2018): Jurnal RESISTOR Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (750.436 KB) | DOI: 10.31598/jurnalresistor.v1i1.253

Abstract

Algorithm A* (Astar) is one of the algorithm that belongs to category of searching method that has information (informed searched method). This algorithm is very good as process solution path finding (way seeker). This algorithm looks for the shortest route which will be taken a starting point to the next object. Collection data technique used in this simulation is by using Algorithm A* with heuristic function. The main purpose of this research is to learn the way of work Algorithm A* in looking for the fastest, which is simulated like a condition when someone looks for route in a traffic way. This simulation gives a realistic pictures for Algorithm A* behavior in looking for shortest route.
Integrasi Sistem Single Sign On Pada Sistem Informasi Akademik, Web Information System Dan Learning Management System Berbasis Central Authentication Service Udayana, I Putu Agus Eka Darma
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 1 (2018): Jurnal RESISTOR Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (757.355 KB) | DOI: 10.31598/jurnalresistor.v1i1.265

Abstract

Elearning and web based information systems is a means to communicate and exchange information for academic purposes.  Nowadays lightweight directory access protocol (LDAP) is a state of the art method of choice. With LDAP technologies user only need one username and password to access to multiple web based application, The problem is if the user wanted to do autentification said user had to input their credentials over and over again for each application. To solve that problem single sign on mechanism (SSO) is invented. With SSO user only need login once and they got all the same credentials with them to all intergrated application wthin the campus. To implement the SSO we use Central authentication service (CAS) as a authentifiation central within LDAP structure as a user management. In this reseach we see that single sign on (SSO) system that intergrated into student management system, E-Learning system and  Internal blog system both use of database based system or even LDAP based system.
Trainer Atmega32 Sebagai Media Pelatihan Mikrokontroler Dan Arduino Desnanjaya, I Gusti Made Ngurah; Iswara, Ida Bagus Ary Indra
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 1 (2018): Jurnal RESISTOR Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1146.368 KB) | DOI: 10.31598/jurnalresistor.v1i1.266

Abstract

The microcontroller is one of the necessary parts of a computer system. In a simple microcontroller will produce a specific output based on the input received and the program given. The microcontroller as semiconductor technology its presence greatly assist the development of electronics world. With a functional architecture but contains a lot of transistor content is integrated, thus supporting the creation of a more portable electronic circuit. One effort made to graduate Computer Systems courses can compete in the world of work is to provide more practice. Therefore it takes the media trainer microcontroller training to facilitate practical activities. Through this research, hope can realize a media trainer microcontroller training that can do the instructions given. That is, the most critical part of a computerized system is the program itself created by a programmer.
IMPLEMENTASI TEKNIK DEEP PACKET INSPECTION DENGAN MENGGUNAKAN WIRESHARK PADA SISTEM OPERASI UBUNTU Pratama, I Putu Agus Eka; Dharmesta, Putu Adhika
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 2 (2018): Jurnal RESISTOR Edisi Oktober 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (965.732 KB) | DOI: 10.31598/jurnalresistor.v1i2.274

Abstract

Deep Packet Inspection (DPI) is a technique commonly used by network administrator to be able to monitor in detail the flow of data in the form of data packets that occur at that moment. This data stream will produce an information that can be used for network management purposes. One example of a case study that can be done with this technique is the intranet that is available in Information Technology major Udayana University’s. Deep Packet Inspection Technique is done with purpose to identifying the initial slowing down of network speed on Information Technology major Udayana University’s.
IMPLEMENTASI KATOOLIN SEBAGAI PENETRASI TOOLS KALI LINUX PADA LINUX UBUNTU 16.04 (STUDI KASUS: REVERSE ENGINEERING FILE .APK) Eka Pratama, I Putu Agus; Wiradarma, Anak Agung Bagus Arya
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 2 (2018): Jurnal RESISTOR Edisi Oktober 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1149.508 KB) | DOI: 10.31598/jurnalresistor.v1i2.278

Abstract

The Linux Operating System is known for its open-source characteristic which means everyone is free to develop Linux with the use of available source code. The result of Linux development is called Linux distribution (Distro). There are various Linux distributions in accordance with their respective uses, one of them is Kali Linux. Kali Linux is a Linux distro that is developed to penetrate the security of computer systems. Kali Linux uses a variety of tools to perform its functions. However, for users who want to use the functionality of Kali Linux without having to change the Linux distro that has been used, the user can use Katoolin. Katoolin can provide the convenience and flexibility for users who want to use Kali Linux as a special Linux distro for the purpose of penetrating computer system security without having to replace the distro that has been used or do a full install of Kali Linux. One case study that can be solved using the Kali Kali Linux based tool on Katoolin is Reverse Engineering. The case study was solved using one of the tools in the Reverse Engineering category named apktool that available on Katoolin.
DETEKSI JARAK PANDANG AMAN SEBAGAI ACUAN UNTUK KESELAMATAN PENERBANGAN DENGAN MENGGUNAKAN METODE BACKPROPAGATION Hakim, Moch Rizki Kurniawan; Fanani, Aris
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 2 (2018): Jurnal RESISTOR Edisi Oktober 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (613.145 KB) | DOI: 10.31598/jurnalresistor.v1i2.304

Abstract

Delay is a term used when the flight schedule late while depart or arrive. Delay causes due to bad weather, technical problems on the plane, uncompleted crew, and others. Delay is procedure to avoid unexpected condition for example is accidents. Bad weather is the the one of delay reason difficult to estimated or detected because relativity variable of each hour. Bad weather can be detected by the air visibility. According to the official standart of transportation the minimum distance of visibility is 5 kilometers. While distance less than for flight safety, can be categorized as danger. Therefore, the porpose of this research is to know early when the flight has to be delayed or not. Therefore to detect a weather condition can be use backpropagation method which can be identified through several factors such as wind speed, humidity, and temperature in the air. Based on this research using 720 data, obtained a high accuracy of 95.71%, recall of 97.81%, and precision of 94.98%. With learning rate of 0.1 and hidden layer as much as 100, which shows that the detection of visibility has a very good performance. Therefore the model can be used for the detection of the visibility of the safe.

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