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All Journal Jurnal Pilar Nusa Mandiri JIKA (Jurnal Informatika) Indonesian Journal for Social Responsibility Jurnal Infortech Media Jurnal Informatika Jurnal Informatika Terpadu Computer Science (CO-SCIENCE) INSANtek – Jurnal Inovasi dan Sains Teknik Elektro Paradigma Al-Ijtima: Jurnal Pengabdian Kepada Masyarakat IJTIMA': Jurnal Pengabdian Masyarakat
Raharjo, Mugi
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Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Social Sciences

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Penetration Testing Pada Sistem Keamanan Jaringan Dengan Metode Filtering Addresslist dan IPService Raharjo, Mugi; Firmansyah, Firmansyah; Watmah, Sri; Alfian Armawan Sandi, Tommi; Lasmana Putra, Jordy
INSANtek Vol 5 No 2 (2024): November 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/insantek.v5i2.5947

Abstract

Serangan brute force merupakan ancaman yang serius terhadap keamanan jaringan, terutama pada sistem autentikasi yang rentan seperti password. Penelitian ini bertujuan untuk mengatasi masalah tersebut dengan mengusulkan metode filtering addresslist menggunakan perangkat Mikrotik untuk mencegah serangan brute force. Kami melakukan penetrasi terhadap sistem jaringan yang telah ada untuk diuji kekuatan pertahananya dan kemudian mencari solusinya. Pendekatan ini melibatkan identifikasi alamat IP yang mencurigakan berdasarkan pola serangan brute force, kemudian memblokirnya menggunakan fitur filtering addresslist pada router Mikrotik. Penelitian ini dilakukan dengan mengumpulkan data serangan brute force dari jaringan uji, menganalisis pola serangan, dan mengimplementasikan metode filtering addresslist. Hasil eksperimen menunjukkan bahwa metode ini efektif mengurangi tingkat serangan brute force dalam jaringan, meningkatkan keamanan secara signifikan. Penelitian ini telah mengahasilkan uji penetrasi terhadap sistem keamanan dan kami telah menemukan celah-celah keamanan mana saja yang rentan terkena serangan, untuk itu telah diterapkan pengamanan lewat metode addreslist dan ip service untuk memblokir seranagn tersebut. Sehingga memberikan keamanan untuk sistem keamanan jaringan.
Implementasi Keamanan Jaringan dengan Metode Security Profiles menggunakan Fortigate pada Komisi Aparatur Sipil Negara Arbie, Fauzi Rizki; Raharjo, Mugi
Jurnal Informatika Terpadu Vol 10 No 1 (2024): Maret, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v10i1.1060

Abstract

Current technological advances mean that all work carried out cannot be separated from the use of the internet network, both for accessing website pages to search for information and using applications as a medium for work. After conducting in-depth research, it was found that the network management and security used at the Pancoran State Civil Service Commission still uses default settings, causing less efficient use of the internet during work time, and is also vulnerable to attacks from outside. Network security is very important to protect data connected to the network both from the user and from the server side. Apart from that, administrators find it difficult to control access rights to web and applications that are not related to the needs of the organization or agency. To make it easier for administrators to control and improve network security, optimizing the use of the Fortigate 500E firewall is very necessary. By implementing the security profiles method on the Fortigate device, it will be easier to manage network traffic at preset hours and increase network security against irresponsible external attacks. By implementing the security profiles method, websites and applications that are not accordance with the organization’s objectives can be blocked automatically according to the preset time and network security at KASN Pancoran will be maintained. With this implementation, internet use at the State Civil Service Commission can be more stable by determining access priority for frequently used applications.
IMPLEMENTASI JARINGAN DENGAN LOAD BALANCING DAN RECURSIVE ROUTE FAILOVER MIKROTIK PADA PT.PELAYARAN NASIONAL INDONESIA Kristanto, Lian; Raharjo, Mugi
Media Jurnal Informatika Vol 16, No 2 (2024): Media Jurnal Informatika
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v16i2.4520

Abstract

Along with the advancement of technology in the field of telecommunications, services to the community have also been based online, as is the case at the PT. Pelni branch office. However, sometimes services are hampered due to sudden internet connection interruptions, so using a failover system assisted by a modem that functions as ISP 2 which is a solution in backing up the internet connection from ISP 1 if it goes offline suddenly. In this study, all clients and users connected to ISP 1 will be directed to ISP 2 using a failover system and the results of all clients or users can be backed up properly and we also do load balancing used to distribute network traffic loads evenly on two connection lines, so that internet performance becomes more balanced and stable. MikroTik plays a role in marking data packets that access the internet and determining the ISP line to be used, as well as distributing the load on both ISPs.
Implementasi Openvpn Untuk Work From Home Pada Jaringan Server Di PT.Infokom Elektrindo Santoso, Yudie; Raharjo, Mugi
Media Jurnal Informatika Vol 17, No 1 (2025): Media Jurnal Informatika
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v17i1.5040

Abstract

Pandemi dan perkembangan teknologi telah mendorong banyak perusahaan untuk menerapkan sistem Work From Home (WFH) guna menjaga produktivitas karyawan. Salah satu tantangan utama dalam implementasi WFH adalah memastikan akses jaringan yang aman dan stabil ke server perusahaan. Penelitian ini bertujuan untuk menguji efektivitas OpenVPN dalam menyediakan koneksi aman dan stabil bagi karyawan WFH di PT. Infokom Elektrindo. OpenVPN dipilih karena mendukung protokol enkripsi yang kuat serta fleksibel dalam konfigurasi. Metode yang digunakan dalam penelitian ini mencakup analisis kebutuhan jaringan, instalasi dan konfigurasi OpenVPN pada router MikroTik, serta pengujian performa koneksi. Parameter pengujian meliputi latency, bandwidth (throughput), dan tingkat enkripsi. Pengujian dilakukan menggunakan Wireshark untuk menganalisis latency dan iPerf untuk mengukur throughput. Hasil penelitian menunjukkan bahwa penerapan OpenVPN mampu menurunkan latency hingga 40% dan meningkatkan efisiensi bandwidth hingga 25%. Selama masa uji coba selama 30 hari, tidak ditemukan insiden kebocoran data (zero incident). Hal ini membuktikan bahwa OpenVPN mampu meningkatkan sisi keamanan dan efisiensi akses ke server perusahaan secara signifikan. Implementasi ini menjadi solusi efektif dalam mendukung sistem kerja jarak jauh secara optimal. Selain itu, solusi ini tidak hanya sesuai untuk PT. Infokom Elektrindo, tetapi juga dapat diadaptasi oleh perusahaan lain dengan infrastruktur jaringan berbasis MikroTik untuk meningkatkan keamanan dan performa akses jarak jauh.
SENTIMENT ANALYSIS OF VIDEO EDITING APPLICATIONS USING SUPPORT VECTOR MACHINE ON GOOGLE COLAB Raharjo, Mugi; Putra, Jordy Lasmana; Heristian, Sujiliani; Napiah, Musriatun
Jurnal Informatika Vol 9, No 2 (2025): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v9i2.13699

Abstract

Sentiment analysis is an important approach in understanding user opinions about an application. This study aims to analyze user reviews of the CapCut application using the Support Vector Machine (SVM) algorithm on the Google Colab platform. The preprocessing stages include data cleaning, word normalization using a dictionary from Kaggle, case folding, tokenization, stopword removal, and stemming. Furthermore, the data is converted into a numerical representation using the TF-IDF vectorization method. The labeling process is carried out using a sentiment lexicon obtained from GitHub. After performing data splitting, the SVM model is applied to classify sentiment into three categories: positive, negative, and neutral. The evaluation results show that the SVM model achieves the best accuracy of 90.12%. Based on the classification report, the model has high precision of 0.94 for positive and negative classes and 0.83 for the neutral class. Additionally, the confusion matrix indicates that the model can classify sentiment quite well, although there are still minor errors in predicting neutral sentiment. The findings of this study demonstrate that the SVM method can be effectively used to analyze user sentiment toward the CapCut application, providing valuable insights for improving user experience in the future.
Analyzing Public Sentiment Toward Makanan Bergizi Gratis Program Using Machine Learning Napiah, Musriatun; Heristian, Sujiliani; Raharjo, Mugi; Purnama, Rachmat Adi
Computer Science (CO-SCIENCE) Vol. 6 No. 1 (2026): January 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/co-science.v6i1.10445

Abstract

Makanan Bergizi Gratis (MBG) program is a strategic initiative of the Indonesian government to improve the nutritional quality of schoolchildren. This research seeks to examine public sentiment regarding the MBG program by leveraging 10,000 tweets obtained from Kaggle. The method used combines Natural Language Processing (NLP) and Machine Learning approaches, several algorithms such as Logistic Regression, Support Vector Machine (SVM), Random Forest, Naive Bayes, XGBoost, and LightGBM were tested to compare classification performance. The dataset contains a collection of public reviews categorized into three sentiment classes: positive, negative, and neutral. The analysis process includes text cleaning, tokenization, stopword removal, and stemming to obtain a cleaner text representation. Text features were then extracted using the Term Frequency–Inverse Document Frequency (TF-IDF) method. The results showed that the Logistic Regression 97% with an F1-score of 0.9552 models showed the most optimal performance. Sentiment analysis revealed 65% positive responses, 25% neutral, and 10% negative, with the dominant keywords being “nutrisi,” “sehat,” “anak sekolah,” and “gratis.” The results visualization, in the form of a Word Cloud and a bar chart, indicate that public opinion tends to be positive towards the implementation of the MBG program, particularly regarding improving the nutrition of schoolchildren. This research is expected to provide input for policymakers in evaluating public perceptions of the implementation of food-based social programs.
Perbandingan Algoritma Dengan Particle Swarm Optimization Untuk Analisis Sentimen Pada Peraturan PSBB di Indonesia Raharjo, Mugi; Putra, Jordy Lasmana; Sandi, Tommi Alfian Armawan; Napiah, Musriatun
Paradigma - Jurnal Komputer dan Informatika Vol. 24 No. 1 (2022): Periode Maret 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/paradigma.v24i1.968

Abstract

The pandemic has given rise to new rules and terms in society. Various countries have their own regulations, including Indonesia with the name PSBB for that, the author tries to conduct research related to the PSBB condition in Indonesia with the intent and purpose of knowing people's sentiments towards it, the authors carry out this modeling positively and negatively. model in a tweet on Twitter. We capture information through Twitter media which then we process the data so that it is ready to be tested on the algorithm used. In data collection and processing, we use a fast miner application. In this study, Naive Bayes,KNN,and SVM were used. We also did a model comparison with Particle Swarm Optimization. model 1 tested three algorithms using a 0.7-0.8 ratio validation and 10-fold cross-validation, In Model 2 the author used a selection feature, namely Particle swarm Optimization where PSO was used as optimization. From the second model, the accuracy is 88.00%. for SVM + PSO, 88.54%% for NB + PSO and 81.58% for K -NN + PSO. And after testing the 2 methods, it turns out that Naive Bayes + PSO has the highest level of accuracy and precision
PELATIHAN PEMBUATAN DESAIN KREATIFITAS MENGGUNAKAN ARTIFICIAL INTELLEGENCE PADA BADAN SANTUNAN YATIM DEPOK Raharjo, Mugi; Hidayatulloh, Syarif; Maulana, Andry
IJTIMA': JURNAL PENGABDIAN MASYARAKAT Vol. 2 No. 2 (2025): Oktober
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/ijtima.2025.24385

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan keterampilan desain grafis bagi pengurus dan anggota Badan Santunan Yatim RW 05, 06, dan 07 di Depok melalui pelatihan pembuatan desain kreatif yang mudah dan cepat dengan memanfaatkan teknologi Artificial Intelligence (AI). Permasalahan yang dihadapi oleh lembaga tersebut adalah keterbatasan sumber daya manusia dalam hal desain visual untuk keperluan publikasi, dokumentasi kegiatan, dan promosi program santunan. Pelatihan ini memberikan solusi praktis dengan memperkenalkan berbagai platform dan aplikasi berbasis AI yang dapat digunakan tanpa keahlian desain profesional. Tools utama yang digunakan dalam pelatihan ini adalah DALL·E untuk pembuatan gambar berbasis teks, Canva AI untuk desain visual yang instan dan menarik, Slide AI untuk pembuatan presentasi otomatis, serta ChatGPT sebagai asisten penulisan dan ide kreatif. Metode pelaksanaan meliputi pemaparan materi, demonstrasi langsung, dan praktik mandiri peserta. Hasil dari kegiatan ini menunjukkan peningkatan pemahaman dan kemampuan peserta dalam menggunakan teknologi AI untuk menghasilkan desain grafis dan materi publikasi yang menarik dan fungsional. Dengan pelatihan ini, diharapkan Badan Santunan Yatim dapat lebih mandiri dan inovatif dalam mengelola media visual untuk mendukung kegiatan sosialnya.   This community service activity aims to enhance graphic design skills among the administrators and members of the Orphanage Assistance Board (Badan Santunan Yatim) in RW 05, 06, and 07, Depok, through training on creating easy and fast creative designs using Artificial Intelligence (AI) technology. The main problem faced by the organization is the limited human resources in visual design for publication, activity documentation, and program promotion purposes. This training provides a practical solution by introducing various AI-based platforms and applications that can be used without professional design expertise. The main tools used in the training include DALL·E for text-based image generation, Canva AI for instant and engaging visual design, Slide AI for automated presentation creation, and ChatGPT as a writing assistant and creative idea generator. The implementation methods consisted of material presentations, live demonstrations, and participant hands-on practice. The results of this activity show an improvement in participants’ understanding and ability to use AI technology to produce attractive and functional graphic designs and publication materials. Through this training, it is expected that the Orphanage Assistance Board will become more independent and innovative in managing visual media to support its social activities.  
Co-Authors Arbie, Fauzi Rizki Firmansyah Firmansyah Fitri, Evita Gulo, Riski Dermawan Jordy Lasmana Putra Kristanto, Lian Leksono, Ilham Nur Maulana, Andry Musriatun Napiah Mustofa Mustofa Prasetyo, Rizal Rachmat Adi Purnama Ridwan, Ridwan Santoso, Yudie Septian, Rian Sri Watmah Sujiliani Heristian Syarif Hidayatulloh Tommi Alfian Armawan Sandi Waeisul Bismi WITRIANA ENDAH PANGESTI