Article Per Year (5 Year)
p-Index From 2021 - 2026
20.196
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering ComEngApp : Computer Engineering and Applications Journal JURNAL SISTEM INFORMASI BISNIS JTEV (Jurnal Teknik Elektro dan Vokasional Techno.Com: Jurnal Teknologi Informasi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro CommIT (Communication & Information Technology) Jurnal Ilmiah Kursor Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) ELINVO (Electronics, Informatics, and Vocational Education) Annual Research Seminar INFORMAL: Informatics Journal Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi Proceeding of the Electrical Engineering Computer Science and Informatics Edu Komputika Journal Format : Jurnal Imiah Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab SISFOTENIKA Journal of Information Technology and Computer Science (JOINTECS) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Emerging Science Journal INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA JIEET (Journal of Information Engineering and Educational Technology) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Insect (Informatics and Security) : Jurnal Teknik Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI Abdimas Dewantara PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Compiler Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Digital Zone: Jurnal Teknologi Informasi dan Komunikasi IJID (International Journal on Informatics for Development) J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Mantik NUKHBATUL 'ULUM : Jurnal Bidang Kajian Islam Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Buletin Ilmiah Sarjana Teknik Elektro Indonesian Journal of Business Intelligence (IJUBI) bit-Tech Mobile and Forensics Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Pengabdian Masyarakat Bumi Raflesia Cyber Security dan Forensik Digital (CSFD) Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems Journal of Innovation Information Technology and Application (JINITA) Journal of Education Informatic Technology and Science Jurnal Bumigora Information Technology (BITe) Jurnal Teknologi Informatika dan Komputer SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal REKSA: Rekayasa Keuangan, Syariah dan Audit Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Phasti: Jurnal Teknik Informatika Politeknik Hasnur Jurnal Pengabdian Masyarakat Indonesia Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi J-SAKTI (Jurnal Sains Komputer dan Informatika) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Informatika Teknologi dan Sains (Jinteks) Techno Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Engineering Science Letter Journal of Novel Engineering Science and Technology Jurnal Informatika: Jurnal Pengembangan IT Jurnal Software Engineering and Computational Intelligence Mohuyula : Jurnal Pengabdian Kepada Masyarakat Scientific Journal of Informatics semanTIK Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JOCHAC Journal of Soft Computing Exploration
Imam Riadi
Department Of Information Systems - Universitas Ahmad Dahlan
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Other

Published : 256 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 256 Documents
Search

 19   20   21   22   23 
Analisis Keamanan Website Open Journal System Menggunakan Metode Vulnerability Assessment Riadi, Imam; Yudhana, Anton; W, Yunanri
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 4: Agustus 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020701928

Abstract

Open Journal System (OJS) merupakan perangkat lunak yang berfungsi sebagai sarana publikasi ilmiah dan digunakan diseluruh dunia. OJS yang tidak dipantau beresiko diserang oleh hacker.  Kerentanan yang di timbulkan oleh hacker akan berakibat buruk terhadap performa dari sebuah OJS.  Permasalahan yang dihadapi pada sistem OJS meliputi network, port discover, proses audit exploit sistem OJS. Proses audit sistem pada OJS mencakup SQL Injection, melewati firewall pembobolan password. Parameter input yang digunakan adalah IP address dan port open access. Metode yang digunakan adalah vulnerability assessment. Yang terdiri dari beberapa tahapan seperti information gathering atau footprinting, scanning vulnerability, reporting. Kegiatan ini bertujuan untuk mengidentifikasi celah keamanan pada website open journal system (OJS). Penelitian ini menggunakan open web application security project (OWASP). Pengujian yang telah dilakukan berhasil mengidentifikasi 70 kerentanan high, 1929 medium, 4050 low pada OJS, Total nilai vulnerability pada OJS yang di uji coba sebesar 6049. Hasil pengujian yang dilakukan menunjukkan bahwa pada OJS versi 2.4.7 memiliki banyak celah kerentanan atau vulnerability, tidak di rekomendasi untuk digunakan. Gunakanlah versi terbaru yang dikeluarkan oleh pihak OJS Public knowledge  project (PKP). AbstractThe Open Journal System (OJS) is A software that functions as a means of scientific publication and is used throughout the world. OJS that is not monitored is at risk of being attacked by hackers. Vulnerabilities caused by hackers will adversely affect the performance of an OJS. The problems faced by the OJS system include the network, port discover, OJS system audit exploit process. The system audit process on the OJS includes SQL Injection, bypassing the firewall breaking passwords. The input parameters used are the IP address and open access port. The method used is a vulnerability assessment. Which consists of several stages such as information gathering or footprinting, scanning vulnerability, reporting. This activity aims to identify security holes on the open journal system (OJS) website. This study uses an open web application security project (OWASP). Tests that have been carried out successfully identified 70 vulnerabilities high, 1929 medium, 4050 low in OJS, the total value of vulnerability in OJS which was tested was 6049. The results of tests conducted showed that in OJS version 2.4.7 had many vulnerabilities or vulnerabilities, not on recommendations for use. Use the latest version issued by the OJS Public Knowledge Project (PKP).
Identifikasi Emosi Manusia Berdasarkan Ucapan Menggunakan Metode Ekstraksi Ciri LPC dan Metode Euclidean Distance Helmiyah, Siti; Riadi, Imam; Umar, Rusydi; Hanif, Abdullah; Yudhana, Anton; Fadlil, Abdul
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 6: Desember 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020722693

Abstract

Ucapan merupakan sinyal yang memiliki kompleksitas tinggi terdiri dari berbagai informasi. Informasi yang dapat ditangkap dari ucapan dapat berupa pesan terhadap lawan bicara, pembicara, bahasa, bahkan emosi pembicara itu sendiri tanpa disadari oleh si pembicara. Speech Processing adalah cabang dari pemrosesan sinyal digital yang bertujuan untuk terwujudnya interaksi yang natural antar manusia dan mesin. Karakteristik emosional adalah fitur yang terdapat dalam ucapan yang membawa ciri-ciri dari emosi pembicara. Linear Predictive Coding (LPC) adalah sebuah metode untuk mengekstraksi ciri dalam pemrosesan sinyal. Penelitian ini, menggunakan LPC sebagai ekstraksi ciri dan Metode Euclidean Distance untuk identifikasi emosi berdasarkan ciri yang didapatkan dari LPC.  Penelitian ini menggunakan data emosi marah, sedih, bahagia, netral dan bosan. Data yang digunakan diambil dari Berlin Emo DB, dengan menggunakan tiga kalimat berbeda dan aktor yang berbeda juga. Penelitian ini menghasilkan akurasi pada emosi sedih 58,33%, emosi netral 50%, emosi marah 41,67%, emosi bahagia 8,33% dan untuk emosi bosan tidak dapat dikenali. Penggunaan Metode LPC sebagai ekstraksi ciri memberikan hasil yang kurang baik pada penelitian ini karena akurasi rata-rata hanya sebesar 31,67% untuk identifikasi semua emosi. Data suara yang digunakan dengan kalimat, aktor, umur dan aksen yang berbeda dapat mempengaruhi dalam pengenalan emosi, maka dari itu ekstraksi ciri dalam pengenalan pola ucapan emosi manusia sangat penting. Hasil akurasi pada penelitian ini masih sangat kecil dan dapat ditingkatkan dengan menggunakan ekstraksi ciri yang lain seperti prosidis, spektral, dan kualitas suara, penggunaan parameter max, min, mean, median, kurtosis dan skewenes. Selain itu penggunaan metode klasifikasi juga dapat mempengaruhi hasil pengenalan emosi. AbstractSpeech is a signal that has a high complexity consisting of various information. Information that can be captured from speech can be in the form of messages to interlocutor, the speaker, the language, even the speaker's emotions themselves without the speaker realizing it. Speech Processing is a branch of digital signal processing aimed at the realization of natural interactions between humans and machines. Emotional characteristics are features contained in the speech that carry the characteristics of the speaker's emotions. Linear Predictive Coding (LPC) is a method for extracting features in signal processing. This research uses LPC as a feature extraction and Euclidean Distance Method to identify emotions based on features obtained from LPC. This study uses data on emotions of anger, sadness, happiness, neutrality, and boredom. The data used was taken from Berlin Emo DB, using three different sentences and different actors. This research resulted in inaccuracy in sad emotions 58.33%, neutral emotions 50%, angry emotions 41.67%, happy emotions 8.33% and bored emotions could not be recognized. The use of the LPC method as feature extraction gave unfavorable results in this study because the average accuracy was only 31.67% for the identification of all emotions. Voice data used with different sentences, actors, ages, and accents can influence the recognition of emotions, therefore the extraction of features in the recognition of speech patterns of human emotions is very important. Accuracy results in this study are still very small and can be improved by using other feature extractions such as provides, spectral, and sound quality, using parameters max, min, mean, median, kurtosis, and skewness. Besides the use of classification methods can also affect the results of emotional recognition. 
Steganalisis Blind dengan Metode Convolutional Neural Network (CNN) Yedroudj- Net terhadap Tools Steganografi Hidayasari, Nurmi; Riadi, Imam; Prayudi, Yudi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 4: Agustus 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020703326

Abstract

Steganalisis digunakan untuk mendeteksi ada atau tidaknya file steganografi. Salah satu kategori steganalisis adalah blind steganalisis, yaitu cara untuk mendeteksi file rahasia tanpa mengetahui metode steganografi apa yang digunakan. Sebuah penelitian mengusulkan bahwa metode Convolutional Neural Networks (CNN) dapat mendeteksi file steganografi menggunakan metode terbaru dengan nilai probabilitas kesalahan rendah dibandingkan metode lain, yaitu CNN Yedroudj-net. Sebagai metode steganalisis Machine Learning terbaru, diperlukan eksperimen untuk mengetahui apakah Yedroudj-net dapat menjadi steganalisis untuk keluaran dari tools steganografi yang biasa digunakan. Mengetahui kinerja CNN Yedroudj-net sangat penting, untuk mengukur tingkat kemampuannya dalam hal steganalisis dari beberapa tools. Apalagi sejauh ini, kinerja Machine Learning masih diragukan dalam blind steganalisis. Ditambah beberapa penelitian sebelumnya hanya berfokus pada metode tertentu untuk membuktikan kinerja teknik yang diusulkan, termasuk Yedroudj-net. Penelitian ini akan menggunakan lima alat yang cukup baik dalam hal steganografi, yaitu Hide In Picture (HIP), OpenStego, SilentEye, Steg dan S-Tools, yang tidak diketahui secara pasti metode steganografi apa yang digunakan pada alat tersebut. Metode Yedroudj-net akan diimplementasikan dalam file steganografi dari output lima alat. Kemudian perbandingan dengan tools steganalisis lain, yaitu StegSpy. Hasil penelitian menunjukkan bahwa Yedroudj-net bisa mendeteksi keberadaan file steganografi. Namun, jika dibandingkan dengan StegSpy hasil gambar yang tidak terdeteksi lebih tinggi.AbstractSteganalysis is used to detect the presence or absence of steganograpy files. One category of steganalysis is blind steganalysis, which is a way to detect secret files without knowing what steganography method is used. A study proposes that the Convolutional Neural Networks (CNN) method can detect steganographic files using the latest method with a low error probability value compared to other methods, namely CNN Yedroudj-net. As the latest Machine Learning steganalysis method, an experiment is needed to find out whether Yedroudj-net can be a steganalysis for the output of commonly used steganography tools. Knowing the performance of CNN Yedroudj-net is very important, to measure the level of ability in terms of steganalysis from several tools. Especially so far, Machine Learning performance is still doubtful in blind steganalysis. Plus some previous research only focused on certain methods to prove the performance of the proposed technique, including Yedroudj-net. This research will use five tools that are good enough in terms of steganography, namely Hide In Picture (HIP), OpenStego, SilentEye, Steg and S-Tools, which is not known exactly what steganography methods are used on the tool. The Yedroudj-net method will be implemented in a steganographic file from the output of five tools. Then compare with other steganalysis tools, namely StegSpy. The results showed that Yedroudj-net could detect the presence of steganographic files. However, when compared with StegSpy the results of undetected images are higher.
Block-hash of blockchain framework against man-in-the-middle attacks Riadi, Imam; Umar, Rusydi; Busthomi, Iqbal; Muhammad, Arif Wirawan
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 8 No 1 (2022): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v8i1.2190

Abstract

Payload authentication is vulnerable to Man-in-the-middle (MITM) attack. Blockchain technology offers methods such as peer to peer, block hash, and proof-of-work to secure the payload of authentication process. The implementation uses block hash and proof-of-work methods on blockchain technology and testing is using White-box-testing and security tests distributed to system security practitioners who are competent in MITM attacks. The analyisis results before implementing Blockchain technology show that the authentication payload is still in plain text, so the data confidentiality has not minimize passive voice. After implementing Blockchain technology to the system, white-box testing using the Wireshark gives the result that the authentication payload sent has been well encrypted and safe enough. The percentage of security test results gets 95% which shows that securing the system from MITM attacks is relatively high. Although it has succeeded in securing the system from MITM attacks, it still has a vulnerability from other cyber attacks, so implementation of the Blockchain needs security improvisation.
Network Forensics Against Address Resolution Protocol Spoofing Attacks Using Trigger, Acquire, Analysis, Report, Action Method Wijayanto, Agus; Riadi, Imam; Prayudi, Yudi; Sudinugraha, Tri
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 8 No 2 (2022): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v8i2.2953

Abstract

This study aims to obtain attack evidence and reconstruct commonly used address resolution protocol attacks as a first step to launch a moderately malicious attack. MiTM and DoS are the initiations of ARP spoofing attacks that are used as a follow-up attack from ARP spoofing. The impact is quite severe, ranging from data theft and denial of service to crippling network infrastructure systems. In this study, data collection was conducted by launching an test attack against a real network infrastructure involving 27 computers, one router, and four switches. This study uses a Mikrotik router by building a firewall to generate log files and uses the Tazmen Sniffer Protocol, which is sent to a syslog-ng computer in a different virtual domain in a local area network. The Trigger, Acquire, Analysis, Report, Action method is used in network forensic investigations by utilising Wireshark and network miners to analyze network traffic during attacks. The results of this network forensics obtain evidence that there have been eight attacks with detailed information on when there was an attack on the media access control address and internet protocol address, both from the attacker and the victim. However, attacks carried out with the KickThemOut tool can provide further information about the attacker’s details through a number of settings, in particular using the Gratuitous ARP and ICMP protocols.
Monitoring and Control Food Temperature and Humidity using Internet of Things Based-on Microcontroller Riadi, Imam; Syaefudin, Rizal
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 7 No. 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20213

Abstract

Tempe is a traditional Indonesian food that uses tempeh mushrooms (Rhizopuz Oryzae) to make it. Tempeh fungus on soybeans requires a certain temperature and humidity in order to grow properly. In this study, a tool was built to monitor and control temperature and humidity with an online system using the ESP8266 WiFi Module with the ESP8266-01 series, which then the data will be sent to Thingspeak and Thingsview. The method used in this study through several stages, including Hardware Design, Internet of Things (IoT) Design or Network Architecture, Testing, and Measuring temperature and humidity values. The hardware design includes Microcontroller-based system hardware to help control temperature and humidity. IoT design or network architecture steps to make connections between hardware and software, while the last stage is testing and measuring the temperature and humidity values to determine the accuracy of the system being made. The Temperature and Humidity settings are carried out automatically using the Arduino Board to control Heater and Fan. The average temperature and humidity values generated in the measurement were 33.11 C and 87.74%. This tool has a measurement accuracy compared to other measuring instruments with a standard deviation of temperature error of 0.8708 and humidity 1.1254 for 180 data samples for 3 days. In this study, the system functions properly with the control system functioning properly, and the reading of the value produces a good standard deviation.
Prediction of Presidential Election Results using Sentiment Analysis with Pre and Post Candidate Registration Data Firdaus, Asno Azzawagama; Yudhana, Anton; Riadi, Imam
Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Vol. 10 No. 1 (2024): April 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v10i1.4836

Abstract

Social-media is a solution for politicians as a campaign tool because it can save costs compared to conventional campaigns. The 2024 Indonesian presidential election has attracted public attention, especially among social media users. Twitter, as one of the most widely used social media platforms in Indonesia, has become an effective campaign platform. Sentiment analysis is one approach that can be used to measure public opinion on Indonesian presidential candidates based on Twitter data. The data was collected before the declaration of candidates in March 2023 and shortly after the registration of presidential and vice-presidential candidates in November 2023. The data obtained amounted to 15,000 in March 2023 collection and 11,569 in November 2023 collection and used manual labeling by linguists. After removing duplicated tweets, the data changed to 10,569 data with each candidate having 3,523 data for March 2023 and 4,893 data, with each candidate pair having 1,631 data for November 2023. The sentiment analysis classification model is determined using the Naïve Bayes and Support Vector Machine (SVM) methods with Term Frequency-Inverse Document Frequency (TF-IDF) feature extraction. Based on the data, the highest percentage of positive sentiment for the data obtained in March 2023 is for Ganjar Pranowo data by 77.94% and the highest percentage of negative sentiment is for Anies Baswedan data by 31.39%. Meanwhile, for the data obtained in November 2023, the highest positive sentiment was obtained for the candidate pair Ganjar Pranowo - Mahfud MD by 69.16%, and the highest negative sentiment was found in the data Prabowo Subianto - Gibran Rakabuming Raka by 52.12%. Words that frequently appeared in the positive sentiment for Ganjar Pranowo - Mahfud MD included "strong", "corruption", "support", "appreciation", and others. This research achieved the highest accuracy for SVM method which is 86% and Naive Bayes method which is 79%.
PERFORMANCE ANALYSIS OF REAL TIME STREAMING PROTOCOL (RTSP) AND REAL TIME TRANSPORT PROTOCOL (RTP) USING VLC APPLICATION ON LIVE VIDEO STREAMING Kariyamin, Kariyamin; Riadi, Imam; Herman, Herman
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.4.698

Abstract

Video is a means of delivering very complete information and can be implemented using streaming technology. Networking services for local media exchange are helpful in teaching and learning activities, such as simultaneous video playback. Submission of information in the form of this video can be done by unicast, multicast or Broadcast packet delivery Live video streaming using RTP and RTSP protocol. The test was done through three experiments ie unicast, multicast and broadcast for five times. The output occurring at (RTP) is 4.73 MBit / sec for 5 client, higher than from (RTSP) of 13.799 MBit / sec for 5 client. This test occurs a very high Delay on RTP while RTSP has a low Delay in RTP. Meanwhile, the packet loss that occurs in (RTP) is 124.50% lower than (RTSP) which is 6.06% from 5 clients each. Because RTSP is an applicationlevel protocol for data delivery control that has real time characteristics such as streaming media. While RTP is designed not for streaming but to handle the actual data transmission of data in the form of sound or image or both, especially those based on real time such as streaming media.
COMPARING THE PERFORMANCE OF OSPF AND OSPF-MPLS ROUTING PROTOCOL IN FORWARDING TCP AND UDP PACKET Miswar, Nur; Herman, Herman; Riadi, Imam
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.5.1456

Abstract

Routing is an important process in computer networks, which involves selecting a path for packet data. The routing mechanism is governed by protocols at layer three of the OSI model or layer two of the TCP/IP model. Routing can be static or dynamic, with dynamic routing algorithms automatically determining the best path in the network. One commonly used dynamic routing protocol is Open Shortest Path First (OSPF), which automatically selects the optimal route for data packets based on received network topology information. The need for more advanced and scalable routing solutions led to the development of Multi-Protocol Label Switching (MPLS), introducing the concept of label switching for faster and more efficient data forwarding. This research aims to analyze the performance of OSPF and OSPF MPLS routing scenarios regarding TCP and UDP services. Through evaluation of Quality of Service (QoS) parameters, including throughput, packet loss, delay, and jitter. This study simulates the network using GNS3 software, with TCP and UDP services transmitted for durations of 15, 30, and 60 seconds. The results showed performance for both scenarios with an average index value of 3.75, indicating "good" network performance according to TIPHON standards across all measurement sessions. Although MPLS OSPF showed slightly lower throughput compared to non-MPLS OSPF, both scenarios showed very low packet loss, low delay, and stable jitter. The evaluation also highlights that the use of OSPF MPLS for UDP services reduces the time delay. Both non-MPLS OSPF and MPLS OSPF effectively support TCP and UDP services, with MPLS OSPF showing advantages in certain QoS parameters, especially for UDP services.
Evaluating Synthetic Minority Oversampling Technique Strategies for Diabetes Mellitus Classification using K-Nearest Neighbors Algorithm Riadi, Imam; Yudhana, Anton; Kurniawan, Gusti Chandra
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5189

Abstract

Data-driven classification of Diabetes Mellitus is a crucial strategy in developing medical decision support systems that are both accurate and efficient. A major challenge in this classification task is the imbalanced class distribution, which tends to reduce the model’s sensitivity to positive cases. This research utilizes a dataset of 1,000 patient medical records obtained from the Mendeley Data repository, containing clinical attributes relevant to diabetes diagnosis. This research examines the impact of various K values on the K-Nearest Neighbors (KNN) algorithm when it is combined with the SMOTE oversampling technique to enhance classification performance. The experiment employs a 10-Fold Cross-Validation methodology with five principal assessment metrics: accuracy, precision, recall, F1-score, and Area Under Curve (AUC). Compared to prior studies, this work advances the methodology by applying SMOTE within each fold of the cross-validation process, effectively preventing data leakage and improving model generalizability. Results indicate that the K=3 configuration yields the highest F1-score of 95.13% and recall of 91.83%, while the highest AUC of 96.40% is achieved at K=9 with lower sensitivity. Applying SMOTE within each fold of the cross-validation process preserves evaluation integrity and prevents potential data leakage. The model demonstrates the ability to detect positive cases more effectively while maintaining high precision. These findings highlight that combining KNN with SMOTE and proper validation strategy is a promising approach for developing a reliable early detection system for Diabetes Mellitus that is adaptive to imbalanced clinical data.
Co-Authors ., Andi Zulherry Abdul Fadlil Abdul Fadlil Abdullah Hanif Abdullah Hanif Abe, Tuska Achmad Nugrahantoro Achmad Syauqi Ade Elvina Adhi Prabowo, Basit Adiniah Gustika Pratiwi Agung Wahyudi Agus Wijayanto Ahmad Azhar Kadim Ahmad Azhari Ahmad Luthfi Ahmad, Muhammad Sabri Aini, Fadhilah Dhinur Ainunna’imah Akbar, Zulfikri Al Amany, Sarah Ulfah Alawi, Hanna Syahida Alfian Ma’arif Andrianto, Fiki Anggara, Rio Annisa, Putri Anshori, Ikhwan Anton Yudahana Anton Yudhana Anton Yudhana ANWAR, FAHMI anwar, nuril Apriliani, Evinda Aprilliansyah, Deco Ardi Pujiyanta Arif Rahman Arif Rahman Arif Wirawan Muhammad Arif Wirawan Muhammad Arif Wirawan Muhammad Ariqah Adliana Siregar Arizona Firdonsyah Asno Azzawagama Firdaus Asruddin, Asruddin Astika AyuningTyas, Astika Aulia, Aulia Aulyah Zakilah Ifani Bahagiya, Multika Untung Bashor Fauzan Muthohirin Basir, Azhar Bernadisman, Dora Budi Barata Kusuma Utami Budin, Shiha Busthomi, Iqbal Chandra Kurniawan, Gusti D.E Purwadi Putra, Izzan Julda Davito Rasendriya Rizqullah Putra Davito Rasendriya Rizqullah Putra Deco Aprilliansyah Dewi Astria Faroek Dewi Estri Jayanti Dikky Praseptian M Djou, M Rosyidi Dwi Aryanto Eddy Irawan Aristianto Ediansa, Oka Eko Brillianto Eko Handoyo Eko Handoyo Elfatiha, Muhammad Ihya Aulia Elvina, Ade Ervin Setyobudi Fadhilah Dhinur Aini Fadhilah Dhinur Aini Fadlil , Abdul Fahmi Anwar Fahmi Auliya Tsani Faiz , Muhammad Nur Faiz Isnan Abdurrachman Fakhri, La Jupriadi Fanani, Galih Farid Suryanto Fatmawaty, Virdiana Sriviana Fauzan Natsir Fauzan, Fauzan Firdonsyah, Arizona Fithriatus Shalihah Fitri, Fitriyani Tella Fitriyani Tella Furizal Furizal, Furizal Galih Fanani Galih Pramuja Inngam Fanani Guntur Maulana Zamroni Guntur Maulana Zamroni, Guntur Maulana Habie, Khairul Fathan Hafizh, Muhammad Nasir Hanif, Abdullah Harman, Rika Haryanto, Eri Helmiyah, Siti Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah, Herman Hidayati, Anisa Nur Himawan I Azmi Iis Wahyuningsih Ikhsan Zuhriyanto Ikhwan Anshori Imroatul Khuluqi Izzah Iqbal Busthomi Irhas Ainur Rafiq Irhash Ainur Rafiq Islamey, Reyhanssan Iwan Tri Riyadi Yanto, Iwan Tri Riyadi Jamalludin Jamalludin Jamalludin, Jamalludin Jayawarsa, A.A. Ketut Joko Handoyo Joko Triyanto Kariyamin, Kariyamin Kartoirono, Suprihatin Kurniawan, Endang Kurniawan, Gusti Chandra Kusuma, Ridho Surya Laura Sari Luh Putu Ratna Sundari M. Rosyidi Djou M.A. Khairul Qalbi Mahsun Mahsun Maulana, Irvan Mega Fatimah Rosana Merita Arini Miladiah Miladiah Miladiah, Miladiah Muammar Muammar, Muammar Muchlas Muchlas Muflih, Ghufron Zaida Muh. Hajar Akbar Muhajir Yunus Muhamad Abduh, Muhamad Muhamad Caesar Febriansyah Putra, Muhamad Caesar Febriansyah Muhammad Abdul Aziz Muhammad Abdul Aziz Muhammad Fahmi Mubarok Nahdli Muhammad Faqih Dzulqarnain, Muhammad Faqih Muhammad Fauzan Gustafi Muhammad Ihya Aulia Elfatiha Muhammad Irwan Syahib Muhammad Kunta Biddinika Muhammad Muhammad Muhammad Nur Faiz Muhammad Yanuar Efendi Muhammad Zulfadhilah Muhammad ‘Arif Bin Mohamad Muis, Alwas Murinto Murinto Murinto Murni Murni Murti, Raden Hario Wahyu Mushab Al Barra Mustafa Mustafa Mustafa Mustafa NANNY, NANNY Nasrulloh, Imam Mahfudl Nasution, Dewi Sahara Nia Ekawati, Nia Novianti, Dian Nur Faiz, Muhammad Nur Hamida Siregar Nur Miswar Nur Widiyasono, Nur Nuril Anwar Nuril Anwar, Nuril Nurmi Hidayasari Panggah Widiandana Prabowo, Basit Adhi Pradana Ananda Raharja Prakoso, Danar Cahyo Prambudi, Rizal Prambudi Prasetyaningrum, Putri Taqwa Prasongko, Riski Yudhi Purwaningrum, Santi Purwanto Purwanto Purwono Purwono Purwono, Purwono Purwono, Purwono Putra, Marta Dwi Darma Putri Annisa Putro, Aldibangun Pidekso Raden Hario Wahyu Murti Raden Mohamad Herdian Bhakti Rafiq, Irhash Ainur Rahmat Ardila Dwi Yulianto Ramadhani, Erika Ramansyah Ramansyah Rauli, Muhamad Ermansyah Rauli, Muhamad Ermansyah Ridho Ikhram Ridho Surya Kusuma Rio Anggara Rio Widodo Rivai, Zulki Yanto Riyanarto Sarno Rizal Prambudi Robiin, Bambang Rochmadi, Tri Roni Anggara Putra Rudy Ansari, Rudy Ruslan, Takdir Rusydi Umar Rusydi Umar Rusydi Umar Ruuhwan Ruuhwan Safiq Rosad Sahiruddin Sahiruddin Salim, Mansyur Santi Purwaningrum Sari, Laura Shiha Budin Sismadi, Wawan Sri Mulyaningsih Sri Winiarti Sri Winiarti Sri Winiati St Rahmatullah Sudinugraha, Tri Sugandi, Andi Suhartono, Bambang Sukma Aji Sunardi Sunardi - Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Suprihatin Suprihatin Suprihatin Suprihatin Suprihatin Supriyanto Syaefudin, Rizal Syahib, Muhammad Irwan Syahida Alawi, Hanna Syahrani Lonang Syarifudin, Arma Taufiq Ismail Taufiq Ismail Tawar Tawar Tohari Ahmad Tole Sutikno Tri Lestari Tri Lestari Triyanto, Joko Umar, Rusdy Veithzal Rivai Zainal Verry Noval Kristanto W, Yunanri Wahyusari, Retno Wardiwiyono, Sartini Wasito Sukarno Weni Hawariyuni, Weni Wicaksono Yuli Sulistyo Wicaksono Yuli Sulistyo Widiandana, Panggah WIDODO, RIO Winiati, Sri Wintolo, Hero Wisnu Pranoto Yana Mulyana Yana Mulyana Yana Safitri, Yana Yudi Kurniawan Yudi Kurniawan Yudi prayudi Yulian Wahyu Permadi Yuliansyah, Herman Yuliansyah, Herman Zein, Wahid Alfaridsi Achmad