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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Majalah Ilmiah Teknologi Elektro Techno.Com: Jurnal Teknologi Informasi Seminar Nasional Informatika (SEMNASIF) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA Network Engineering Research Operation [NERO] SINTECH (Science and Information Technology) Journal
I Made Sunia Raharja
Program Studi Teknologi Informasi Universitas Udayana Bukit Jimbaran, Bali, Indonesia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Analisis Data Log IDS Snort dengan Algoritma Clustering Fuzzy C-Means Ida Ayu Shinta Dewi Paramitha; Gusti Made Arya Sasmita; I Made Sunia Raharja
Jurnal Teknologi Elektro Vol 19 No 1 (2020): (Januari - Juni ) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2020.v19i01.P14

Abstract

Snort merupakan salah satu sistem deteksi intrusi (IDS) open source yang banyak digunakan untuk mendeteksi intrusi atau aktivitas mencurigakan pada lalu lintas jaringan. Snort akan memberikan alert atau peringatan apabila terdapat serangan yang terdeteksi, kemudian mencatatnya pada log. Data log IDS Snort tersebut dapat digunakan oleh administrator jaringan untuk menganalisis kerentanan sistem keamanan jaringan. Analisis data log dapat dilakukan dengan berbagai cara, salah satunya mengimplementasikan algoritma clustering seperti Fuzzy C-Means (FCM). Implementasi algoritma pada penelitian ini berbasis Python 3 dan bertujuan untuk mengelompokkan serangan pada data log menjadi 4 kategori risiko, yaitu low, medium, high, dan critical risk. Hasil analisis penelitian ini adalah berupa pengelompokkan serangan dengan FCM dan visualisasi jenis serangan yang berhasil dideteksi oleh IDS Snort. Tahap evaluasi dilakukan dengan Modified Partition Coefficient (MPC) untuk menentukan validitas hasil clustering FCM. Kata Kunci— Clustering, Fuzzy C-Means, Log, Snort.
E-SUPPLY CHAIN MANAGEMENT PADA TOKO ROTI MENGGUNAKAN ODOO 11.0 Dwi Putra Githa; I Made Sunia Raharja
SINTECH (Science and Information Technology) Journal Vol. 4 No. 2 (2021): SINTECH Journal Edition Oktober 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i2.976

Abstract

The rapid development of technology has an impact on the competition in the business world. A company needs technology to be able to make efficiency and make innovations in order to maintain market share or to gain new market share. A company must make efficiency in all fields in order to increase competitiveness. A bakery is a manufacturing company that runs its business by making and selling bread. Electronic Supply Chain Management can be a solution for managing business processes related to bakery activities. Electronic Supply Chain Management (e-SCM) is the efficient and effective coordination of all supply activities of an organization from its suppliers and partners to its customers using technology support. E-SCM Bakery has been successfully built through the stages of data collection, data analysis, system business process design and system development using Odoo 11.0. Based on black box testing, all functionality of the system has been running as expected.  
Efektivitas Sniffer Menggunakan Natural Language dalam Pembelajaran Lalu Lintas Jaringan Komputer Putu Adhika Dharmesta; I Made Agus Dwi Suarjaya; I Made Sunia Raharja
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (647.53 KB) | DOI: 10.29207/resti.v4i3.1696

Abstract

Computer networks are currently very active in the development of technology that is around us. Seeing this, of course knowledge of the network will be needed if there is a problem on the network. Scapy is a Python module that allows for sending, sniffing and dissecting a packet on a network. This capability allows users to create an application that can dissect how the workings of a network packet. Researchers will create a protocol traffic learning application on a computer network using Scapy and natural language to convey the results of the ongoing sniffing process. The application uses natural language to convey the translation of the sniffing process. The translation result of the sniffing process by using the natural language of this application is expected to be effective and can facilitate and make users understand and learn about the work process of a network packet. To measure the effectiveness of the use of natural language for the translation of the sniffing process a questionnaire was distributed to students of the SMKN 1 Denpasar school majoring in Computer and Network Engineering. The results of the distribution of the questionnaire were then calculated using a Likert scale and then the results obtained that the original results of the sniffing process got a Likert scale value of 37%. While the results of sniffing that have been translated get a value of 73%. This shows respondent better understands the results that have been translated compared to the original results that have not been translated.
Reengineering Proses Bisnis Toko Oleh-Oleh Menggunakan Enterprise Resource Planning Odoo 13 dengan User Acceptance Test sebagai Metode Pengujian Sistem I Kadek Suabdinegara; Gusti Agung Ayu Putri; I Made Sunia Raharja
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3271

Abstract

Business process engineering is carried out on the business process of Wardani’s souvenir shop which is located at Jl. Monkey Forest, Ubud. This shop was chosen as the research use case because the shop is located in a strategic tourist location in the center of Ubud. Reengineering is focused on the Wardani Store’s business activities in the purchasing, inventory, and sales business functions, where at the time the research was conducted, all processes were still using the manual method. This method often causes problems, such as uncontrolled purchasing of goods, errors in recording purchases and sales of goods, length of calculation in transactions, and unclear information on availability of goods. Therefore, an approach is needed in developing an integrated system in the company's operational activities, and the application of Enterprise Resource Planning (ERP) can be an alternative in overcoming the problems experienced. ERP implementation is carried out by identifying ongoing business processes for purchasing, inventory, and selling goods, then making an integrated system proposal by implementing Odoo 13. System testing is carried out using the User Acceptance Test (UAT) method which is a final testing method for developing a product to validate whether the system built is in accordance with the user's needs or not. The system test results show that the Odoo ERP application is considered quite successful in helping companies in purchasing, inventory, and selling goods, so that business processes become more effective and efficient
Classification of Public Figures Sentiment on Twitter using Big Data Technology Ayu Krisnasari Ni Komang; I Made Agus Dwi Suarjaya; I Made Sunia Raharja
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.7329

Abstract

Public figures often receive widespread public attention because they can exert a meaningful influence. On Twitter, the users can freely express their opinion through tweets. There are about 456,000 tweets sent in a minute which with this large and diverse number will make Big Data. Big Data has valuable potential for better decision-making. This large amount of tweet data can yield valuable information through sentiment analysis. This study aims to conduct a sentiment classification of Indonesian public figures using Twitter's data. This study used 1,034,329 tweets collected from Twitter in the period November 2021 until March 2022. Tweet classification is done by building a classification model using the Bidirectional Long Short-Term Memory algorithm. Sentiment toward public figures in Indonesia is 45.98% negative sentiment, 28.04% positive sentiment, and 25.98% neutral sentiment resulting from this study. The highest positive sentiment is obtained by public figures when there is content or news that is relevant to the public figure, while the highest negative sentiment is obtained when there is content or news that contradicts the image of the public figure.
A Website Based Information System on Startup SharingKu Kristiani Br Munthe; I Made Sukarsa; I Made Sunia Raharja; Ni Wayan Wisswani
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 10 No 2 (2022): Vol. 10, No. 2, August 2022
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2022.v10.i02.p03

Abstract

Mental health is one of the health problems that many people experience. Consultation or therapy is an alternative that can be done when mental conditions are bad. Based on interviews that have been conducted with several users in conducting consultations, there are several obstacles in conducting direct consultations with psychologists. The obstacles experienced consisted of several things such as PPKM regulations, personal anxiety to have direct contact with other people, the difficulty of arranging schedules for two parties, administrative matters and many more. This is certainly not effective in terms of time, cost and effort. The difficulties experienced by the user stimulate an innovation in creating a Website-Based Information System for the ShaingKu Startup. The purpose of this development is to design an information system that makes it easier for various groups, especially patient users, to be able to conduct online consultations more easily and effectively both in time, cost and effort. The final result of this research is a system that can be implemented and has passed the trial process that has been successful. The test consists of the functionality of a patient user who has successfully placed an order, a psychologist user who has successfully managed patient data, an admin user who has successfully managed psychologist data and a super admin user who has successfully registered psychologist and admin accounts.
Co-Authors Anak Agung Ketut Agung Cahyawan Wiranatha Ayu Krisnasari Ni Komang Azhari SN Dwi Putra Githa G M Arya Sasmita Gede Haris Premana Wibawa Gusti Agung Ayu Putri I Kadek Suabdinegara I ketut Gede Darma Putra I Made Adhiarta Wikantyasa I Made Agus Dwi Suarjaya I Made Budi Setiawan I Made Sukarsa I Putu Astya Prayudha I Putu Wira Cahaya Pratama Yudha Ida Ayu Shinta Dewi Paramitha Kadek Alit Sudiyana Kristiani Br Munthe Ni Komang Sutiari Ni Putu Chendy Widya Santi Ni Wayan Wisswani Putu Adhika Dharmesta