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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi Jurnal Teknik Komputer AMIK BSI VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Jurnal Infomedia KACANEGARA Jurnal Pengabdian pada Masyarakat Surya Abdimas EXPLORE Building of Informatics, Technology and Science Mobile and Forensics JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Abdi Insani Jurnal Mandala Pengabdian Masyarakat Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Decode: Jurnal Pendidikan Teknologi Informasi Bulletin of Information Technology (BIT) Muria Jurnal Layanan Masyarakat EXPLORE Journal of Community Services: Sustainability and Empowerment Intechno Journal : Information Technology Journal Explore The Indonesian Journal of Computer Science Nawadeepa: Jurnal Pengabdian Masyarakat Dialektika Jurnal Pendidikan
Subektiningsih Subektiningsih
Universitas Amikom Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities 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 Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Public Health Social Sciences Transportation Other

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Analisis Keamanan Jaringan Komputer Menggunakan Metode IDS dan IPS dengan Notifikasi Telegram: Computer Network Security Analysis Using IDS and IPS Methods with Telegram Notifications Syaiful Huda, Taufiq; Subektiningsih, Subektiningsih
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3505

Abstract

Penelitian ini bertujuan untuk menganalisis keamanan jaringan komputer dengan memanfaatkan metode Intrusion Detection System (IDS) dan Intrusion Prevention System (IPS) yang dilengkapi dengan notifikasi melalui platform Telegram. IDS dan IPS merupakan teknologi yang penting dalam menjaga integritas dan keamanan jaringan komputer dari ancaman serangan jaringan komputer. Penelitian ini mencoba mengintegrasikan kedua sistem ini untuk mendeteksi potensi intrusi dan secara aktif mencegah serangan sambil memberikan notifikasi real-time melalui Telegram, memungkinkan administrator untuk segera mengambil tindakan responsif. Metodologi yang digunakan mencakup implementasi dan konfigurasi IDS/IPS, serta pengujian terhadap skenario intrusi yang mungkin terjadi. Hasil penelitian ini diharapkan dapat memberikan wawasan yang lebih baik tentang tingkat keamanan jaringan komputer dan mengidentifikasi cara-cara yang lebih efektif dalam menghadapi ancaman serangan jaringan komputer.
Perbandingan Algoritma Naïve Bayes dan Random Forest dalam Klasifikasi Sentimen Ulasan Pengguna Kredivo di Play Store Ichsansyah, Rifki Fahrezi Putra; Subektiningsih, Subektiningsih
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 2: April 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.132

Abstract

Analisis sentimen merupakan pendekatan penting untuk memahami opini pengguna terhadap aplikasi digital. Penelitian ini bertujuan mengklasifikasikan sentimen ulasan pengguna terhadap aplikasi Kredivo di Google Play Store dengan menerapkan algoritma Naïve Bayes dan Random Forest. Sebanyak 2.000 ulasan diperoleh melalui proses scraping dan diproses melalui tahapan preprocessing, meliputi cleaning, case folding, labeling, normalisasi, stopword removal, tokenizing, dan stemming. Untuk mengatasi ketidakseimbangan kelas sentimen, digunakan teknik SMOTE (Synthetic Minority Oversampling Technique). Hasil evaluasi menunjukkan bahwa Naïve Bayes menghasilkan akurasi 82% dengan precision tertinggi pada kelas positif (95,40%), sedangkan Random Forest mencapai akurasi 91% dengan precision sempurna pada kelas negatif (100%). Perbandingan ini menunjukkan bahwa Random Forest memiliki performa yang lebih stabil dan unggul dalam menangani variasi sentimen. Penelitian ini membuktikan bahwa kombinasi preprocessing yang tepat dan pemilihan algoritma yang sesuai dapat meningkatkan performa klasifikasi sentimen. Temuan ini berkontribusi dalam pengembangan sistem analitik ulasan pengguna, yang dapat dimanfaatkan oleh pengembang aplikasi dan pelaku industri fintech untuk meningkatkan kualitas layanan berbasis data opini pengguna.   Abstract  Sentiment analysis plays a crucial role in understanding user opinions toward digital applications. This study aims to classify user reviews of the Kredivo application on the Google Play Store using the Naïve Bayes and Random Forest algorithms. A total of 2,000 reviews were collected through web scraping and processed through several preprocessing stages, including cleaning, case folding, normalization, stopword removal, tokenizing, and stemming. To address class imbalance, the SMOTE (Synthetic Minority Oversampling Technique) method was applied. Evaluation results show that Naïve Bayes achieved an accuracy of 82%, with the highest precision in the positive class (95.40%), while Random Forest outperformed with 91% accuracy and perfect precision in the negative class (100%). These findings indicate that Random Forest is more effective in handling diverse sentiment distributions. This study highlights the importance of proper preprocessing and algorithm selection in improving sentiment classification performance. The findings offer practical contributions for developing user review analytics systems, which can support application developers and fintech industry players in enhancing service quality based on user opinion data.
Improving Activities and Writing Skill in English Simple Descriptive Text by Applying the Strategy of the Picture Word Inductive Model in Students of Class VIID Warureja Junior High School in the Academic Year 2017/2018: Array Subektiningsih Subektiningsih
Dialektika Jurnal Pendidikan Vol. 3 No. 1 (2019): DIALEKTIKA: Jurnal Pendidikan
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Universitas Peradaban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58436/dfkip.v3i1.487

Abstract

Increase in activity in writing simple descriptive texts in English by applying the picture word inductive model strategy to students in class VII D Warureja Junior High School 2 in the 2017/2018 school year and increasing the skills of writing simple descriptive texts in English by applying inductive picture word strategies model on students of class VII D Warureja Junior High School 2017/2018 school year. The study was conducted in 2 cycles using an action research model consisting of four components, namely planning, implementing, observing and reflecting. The research subjects were students of class VII D of Warureja Junior High School 2 in the academic year 2017/2018 with 29 students consisting of 15 male students and 14 female students. The conclusions from the results of this class action research are the application of the picture word inductive model strategy that can increase the activity of writing simple descriptive text in English by 10.35%, that is, from the first cycle of 55.17% with the criteria active enough to be 65.52% in cycle 2 active criteria and the application of picture word inductive model strategies can improve simple descriptive text writing skills in English by 10.34%, namely in cycle 1 of 68.97% increasing to 79.31% in cycle 2.
Implementasi VPN Menggunakan Protokol L2TP Untuk Pengelolaan NAS (Network Attached Storage) Pada STB Dimas Zaldiyanto; Subektiningsih; Irma Rofni Wulandari
Bulletin of Information Technology (BIT) Vol 5 No 4: Desember 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i4.1770

Abstract

Implementing Virtual Private Network (VPN) in remote Network Attached Storage (NAS) control using L2TP protocol on Mikrotik Router. This study uses a used device, Set Top Box HG680P, converted into a NAS server as a more economical and environmentally friendly alternative to buying a conventional NAS server. Implementation of L2TP VPN via Mikrotik facilitates remote access with guaranteed security levels. Testing was carried out using two devices, a Laptop and a Smartphone, which were used to access and transfer data via a VPN network. The test results showed that the VPN implementation successfully facilitated access from various locations and data transfer with good performance. In testing, the download speed was 50 Mbps, and the upload speed was 10 Mbps for file sizes from 50 Mb to 1000 Mb. The test results using VPN gave an average speed of all file transfers of 15.12Mb/s with an average transfer time of 4 minutes 14 seconds. Testing was also carried out by disconnecting the VPN connection on Mikrotik. The unconnected VPN on Mikrotik causes the browser to fail to access the site because the VPN cannot access information on the NAS Server. Therefore, VPNs play an important role as a bridge to access the NAS server outside the local network. In access management, restrictions are imposed on each user to increase security when accessing or sharing files on the NAS server with others. The goal is for users to have access restrictions, only being able to access the specified parts. This research is expected to contribute to developing secure, economical, and efficient network solutions, especially in utilizing used devices for data management.
Co-Authors Aan Romadhon Eko Prasetyo Adi Saputro, Johan Akhmad Muzakka Ali Mustopa Amadeus Pondera Purnacandra Amitaba, Asthivia Oktanda Anggun Anindya Sekarningrum Arifiyanto Hadinegoro, Arifiyanto Astuti, Yuli Astuti Baharudin, Muhamad Bayu Prayoga, Mahendra Darma, Firman Diatullah Guna Dedy Hariyadi Devi Wening Astari Devi Wening Astari Dhimas Satria Dimas Rizky Eka Candra Dimas Zaldiyanto Dzakwan, Muhammad Dzakwan Ar Rosyid Erfan Wahyudi Faris Fathahillah Herman Ferdiansyah, Pramudhita Ferdiansyah, Pramudhita Ferdiansyah, Ricky Andre Hendrawan, Mohammad Yan Fikri Hidayat, Muhammad Alfi Ichsansyah, Rifki Fahrezi Putra Imel, Imel Imran, Bahtiar Indrayani, Rini Indrayani, Rini Indrayani, Rini Irma Rofni Wulandari Joni Kiskandar Kamarudin Kamarudin Kartika Sari Yudaninggar Kartika Sari Yudaninggar Kusumaningtyas, Kartikadyota M.Kom (SCOPUS ID: 57216417658), Norhikmah Muhammad Dzakwan Ar Rosyid Dzakwan Muzakka, Akhmad Nainggolan, Jessica Vega Nani Sulisnawati Nazaruddin Ahmad Niken Larasati NINIK TRI HARTANTI Nur Rahmat Prasetya Nuri Cahyono Pramudhita Ferdiansyah Pramudhita Ferdiansyah Renaldi Renaldi Rifda Faticha Alfa Aziza Rini Indrayani Santoso, Wahid Hasim Saputra, Rizky Bintang Saputro, Andromeda Pandu Sekarningrum, Anggun Anindya Sutarni, Sutarni Syaiful Huda, Taufiq Wisnu Aditya Wulandari, Irma Rofni Yudaninggar, Kartika Sari