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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Transformatika WARTA Emitor: Jurnal Teknik Elektro Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Sosial Ekonomi Perikanan Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Li Falah: Jurnal Studi Ekonomi dan Bisnis Islam JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Universitas Pamulang Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Nasional Komputasi dan Teknologi Informasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Ilmiah Sinus Ekspose: Jurnal Penelitian Hukum dan Pendidikan Jurnal Teknik Elektro Uniba (JTE Uniba) Indonesian Journal of Electrical Engineering and Computer Science JIKA (Jurnal Informatika) Jurnal Sistem Komputer dan Informatika (JSON) JUKI : Jurnal Komputer dan Informatika GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Journal Informatic, Education and Management (JIEM) Jurnal Teknik Informatika (JUTIF) Infotech: Jurnal Informatika & Teknologi Jurnal Pendidikan dan Teknologi Indonesia Arkus Journal of Technology and Informatics (JoTI) Jurnal Abdi Masyarakat Indonesia Waniambey: Journal of Islamic Education International Journal Software Engineering and Computer Science (IJSECS) Prosiding Konferensi Nasional PKM-CSR Jurnal Manajemen dan Teknologi Informasi Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Nasional Teknologi Komputer Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Proceeding ISETH (International Summit on Science, Technology, and Humanity) Abdi Teknoyasa Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) The Indonesian Journal of Computer Science International Journal of Computer Technology and Science International Journal of Information Engineering and Science Jurnal Al-Hikmah Way Kanan Journal of Islamic Economic Laws Jurnal Pengabdian Masyarakat Terapan Nusantara Journal of Artificial Intelligence and Information Systems Dirham: Journal of Sharia Finance and Economics Journal of Engineering, Electrical and Informatics ITEJ (Information Technology Engineering Journals) Jurnal Elektronika dan Telekomunikasi
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Analisis Sentimen Pengguna X terhadap IKN Menggunakan Word2Vec dan IndoBERT Luthfiana Azzalea Afifah; Dedi Gunawan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9468

Abstract

Pembangunan Ibu Kota Nusantara (IKN) di Kalimantan Timur adalah kebijakan strategis nasional yang menimbulkan beragam respons di tengah masyarakat. Media sosial X (Twitter) salah satu ruang utama bagi publik dengan tujuan menyampaikan pandangan, baik berupa dukungan ataupun kritik, terhadap kebijakan tersebut. Fokus penelitian ini adalah untuk mengevaluasi persepsi masyarakat tentang pembangunan IKN dengan membandingkan kinerja algoritma Word2Vec yang diklasifikasikan menggunakan Support Vector Machine (SVM) dan model IndoBERT Fine-Tuning. Data penelitian diperoleh dengan proses crawling tweet berbahasa Indonesia pada periode 2022 hingga 2025 dengan memanfaatkan istilah yang relevan terhadap pembangunan IKN. Sebanyak 2.667 dataset yang telah menjalani tahap pelabelan manual dan otomatis serta preprocessing, yang terdiri dari text cleaning, case folding, normalisasi, dan tokenisasi, digunakan dalam proses pemodelan. Dataset kemudian dibagi menjadi data latih dan data uji dengan rasio 80:20. Evaluasi performa model dilakukan menggunakan confusion matrix dengan metrik accuracy, precision, recall, dan F1-score. Hasil penelitian menunjukkan bahwa model IndoBERT Fine-Tuning dengan pelabelan manual menghasilkan performa terbaik dengan nilai accuracy sebesar 0.900 dan F1-score sebesar 0.899 serta mampu mengungguli pendekatan Word2Vec–SVM. Analisis ini menegaskan bahwa model berbasis Transformer lebih efektif dalam memahami konteks bahasa Indonesia pada data media sosial. Hasil analisis sentimen selanjutnya disajikan dalam bentuk dashboard interaktif untuk memudahkan interpretasi opini publik terhadap pembangunan Ibu Kota Nusantara.
Pengembangan Media Sosial sebagai Sistem Informasi di MI Muhammadiyah Taraman, Sragen Yudi Wahyu W; Cahyaningtyas S W; Dedi Gunawan; Arif Surya Kusuma
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 5 No. 2 (2026): Mei 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v5i2.7900

Abstract

Madrasah Ibtidaiyah Muhammadiyah (MIM) Taraman in Sragen Regency has faced challenges regarding a decline in new student enrollment due to suboptimal digital promotion strategies. Despite utilizing social media platforms, the lack of strategic management has failed to effectively attract prospective parents. This community service program aims to enhance the school's visibility through the development of a modern and interactive school information system. The implementation method employed three primary strategies: lectures, discussions, and practical simulations. The implemented solutions included the development of a school profile website integrated with AI Chatbot technology for 24/7 information services and an analytics dashboard to monitor publication effectiveness. Beyond technical aspects, the program focused on human resource capacity building through training in content management, digital branding, and technical assistance for teachers and staff. The results indicate a significant impact on the partners' digital literacy. Based on post-test data, all participants (19 individuals) expressed a clear understanding and agreement regarding the utilization of information systems and social media as effective promotional tools. The implementation of this technology is expected to expand MIM Taraman's promotional reach and increase student enrollment in the upcoming academic year.
Sistem Monitoring Distribusi Air Menggunakan Android Blynk Dedi Gunawan
ITEJ (Information Technology Engineering Journals) Vol. 3 No. 2 (2018): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v3i2.30

Abstract

Air merupakan sumber daya mineral yang penting dalam kehidupan sehari-hari. Dalam pemakaian air terkadang kita tidak memperhatikan jumlah air yang digunakan sehingga kita terlalu boros untuk memanfaatkannya. Dasar penelitian ini bertujuan memonitoring dan mengontrol pemakaian air, mendeteksi lokasi kebocoran dan menghitung biaya pemakaian air. Sensor water flow meter YF-B1 bisa bekerja dengan baik, hasil pengujian pembacaan sensor yang terbaca dan di kalibrasikan dengan gelas ukur mempunyai hasil yang tidak berbeda jauh. Sensor water flow meter YF-B1 memiliki akurasi akurasi rata-rata ± 91.00% dan error pembacaan ± 9%, sedangkan solenoid valve ZE-4F180 dapat bekerja dengan diameter kabel minimal 1 mm².
Classification of Privacy Preserving Data Mining Algorithms: A Review Dedi Gunawan
Jurnal Elektronika dan Telekomunikasi Vol. 20 No. 2 (2020)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v20.36-46

Abstract

Nowadays, data from various sources are gathered and stored in databases. The collection of the data does not give a significant impact unless the database owner conducts certain data analysis such as using data mining techniques to the databases. Presently, the development of data mining techniques and algorithms provides significant benefits for the information extraction process in terms of the quality, accuracy, and precision results. Realizing the fact that performing data mining tasks using some available data mining algorithms may disclose sensitive information of data subject in the databases, an action to protect privacy should be taken into account by the data owner. Therefore, privacy preserving data mining (PPDM) is becoming an emerging field of study in the data mining research group. The main purpose of PPDM is to investigate the side effects of data mining methods that originate from the penetration into the privacy of individuals and organizations. In addition, it guarantees that the data miners cannot reveal any personal sensitive information contained in a database, while at the same time data utility of a sanitized database does not significantly differ from that of the original one. In this paper, we present a wide view of current PPDM techniques by classifying them based on their taxonomy techniques to differentiate the characteristics of each approach. The review of the PPDM methods is described comprehensively to provide a profound understanding of the methods along with advantages, challenges, and future development for researchers and practitioners.
Classification Of Image Corner Point Detection System To Identify A Shape Using The Viola Jones Method Frencis Matheos Sarimole; Sopan Adrianto; Dedi Gunawan; Fiktor Kurnia Tafonao
International Journal of Computer Technology and Science Vol. 1 No. 3 (2024): July : International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i3.314

Abstract

Along with the times, computer technology is developing very rapidly. The increasingly rapid development of computer technology means that everyone is required to utilize computer technology in their daily lives. Utilization of technology is one of the implementation roles of scientific disciplines. The reason behind the formation of this research is so that in the future it will become a fun learning concept in the introduction of objects and shapes in children and the motor development of children. children are usually more interested in seeing pictorial text, or pictures that contain lots of color. The Viola Jones method itself was chosen as the research completion algorithm. The Viola Jones method is usually used as a method in research that discusses the detection of objects, faces and others. The Viola Jones method was chosen because it has a high level of accuracy that can reach 100% probability.
Social Media Sentiment Analysis of Instagram Use by Early Childhood Education Information System Development Based on Naïve Bayes Yuma Akbar; Sugiyono Sugiyono; Dedi Gunawan; Salsabila Putri Wibowo
International Journal of Information Engineering and Science Vol. 3 No. 1 (2026): February : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i1.341

Abstract

This study employs the Naïve Bayes method to analyze social media sentiment regarding the use of Instagram by early childhood users. The primary objective of this research is to understand public perceptions of the positive and negative impacts of Instagram usage among young children, particularly in relation to their social, psychological, and digital behavioral development. Sentiment analysis is carried out using data from various social media platforms, which are then classified into positive, negative, and neutral opinions. The classification results form the basis for developing an integrated educational information system designed to provide guidance for parents, educators, and children in using Instagram safely, healthily, and responsibly. The system also emphasizes the importance of age-appropriate content education, privacy settings, and strategies to minimize the risks of exposure to inappropriate content and the negative effects of excessive usage. This research is expected to support the creation of a more positive, safe, and beneficial digital environment for early childhood users while also serving as a reference in formulating effective policies in the social media era.
Application of Data Mining for Talent Performance Analysis Using The C.45 Method In A Case Study of The Human Resource Department of PT. Xyz Sutisna Sutisna; Tri Wahyudi; Dedi Gunawan; Ivan Pradana
Journal of Engineering, Electrical and Informatics Vol. 2 No. 3 (2022): Oktober: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i3.3710

Abstract

Human resource management plays a critical role in supporting organizational performance, particularly in identifying employees with high competency and leadership potential. The process of evaluating employee performance is often conducted manually, which may lead to subjectivity and inconsistencies in decision-making. This study aims to implement the C4.5 decision tree algorithm for talent performance analysis within the Human Resource Department of PT. XYZ. The research utilized employee performance data collected during the 2022–2023 period, including variables such as attendance, achievement, assessment results, service period, and other competency-related indicators. The study adopted the Cross Industry Standard Process for Data Mining (CRISP-DM) framework, consisting of business understanding, data understanding, data preparation, modeling, evaluation, and deployment stages. The C4.5 algorithm was employed to classify employee competencies and generate decision rules based on entropy and information gain calculations. The results indicate that the algorithm successfully identified the most influential attributes affecting employee performance classification, with achievement, assessment, and service period emerging as key determinants. The resulting decision tree provides a systematic and interpretable classification model that supports objective employee evaluation and talent identification. The study demonstrates that the application of data mining techniques can assist organizations in improving the effectiveness of employee performance assessment and human resource decision-making processes.
Transformasi Metode Pembelajaran melalui Integrasi Teknologi Digital di MIM Taraman Sragen Fatah Yasin Al Irsyadi; Dedi Gunawan; Ahmada Aulia Rahman; Sulthon Kaffaah Al Farizzi; Jumiana Jumiana; Hernanda Lilih Kusumaningtyas; Gilang Sri Nayaka; Afrizal Putra Pratama
Jurnal Abdi Masyarakat Indonesia Vol 6 No 4 (2026): JAMSI - Juli 2026
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.2936

Abstract

Madrasah Ibtidaiyah Muhammadiyah (MIM) Taraman berdiri sejak tahun 2006. Berlokasi di Desa Taraman Kec. Sidoharjo, Kab. Sragen. MIM Taraman memiliki sejumlah guru dan staff tata usaha untuk menjalankan proses belajar mengajar. Saat ini dalam proses belajar mengajar, MIM Taraman masih menggunakan cara konvensional, yaitu materi pembelajaran umumnya masih disajikan secara klasik sehingga berpotensi menyebabkan siswa malas belajar karena merasa jenuh dengan metode pembelajaran yang tidak berkembang dan proses pengajaran yang diberikan guru membuat siswa bosan. Hal ini menjadi salah satu penyebab mutu pembelajaran sulit untuk meningkat. Maka dari itu metode baru sangat diperlukan dalam proses belajar mengajar. Salah satu cara untuk meningkatkan mutu pembelajaran adalah dengan memanfaatkan media digital untuk berbagi materi pembelajaran, yang bisa diakses oleh para guru dan para siswa. Pembelajaran berbasis digital saat ini sangatlah penting untuk mempermudah proses belajar mengajar, sehingga seorang guru dapat dengan mudah membantu siswa meningkatkan hasil belajarnya. Metode yang digunakan secara umum ada lima tahapan yaitu analisis, perancangan aplikasi, implementasi aplikasi, pemaparan dan pelatihan ke mitra, maintenance dan follow up. Kegiatan ini telah menghasilkan sebuah aplikasi pembelajaran digital yang memfasilitasi guru MIM Taraman di Sragen berbagi materi belajar sekaligus memberikan akses belajar yang fleksibel bagi siswa. Penggunaan media alternatif ini dirancang agar siswa dapat belajar dengan lebih aktif dan menyenangkan di berbagai lokasi. Jika dimanfaatkan secara optimal, aplikasi ini berpotensi besar dalam meningkatkan prestasi belajar siswa.
Sentiment Analysis of Emotional Intensity as a Continuous Driver of Engagement and Algorithmic Visibility Zia Ul Rehman Zafar; Dedi Gunawan; Muhammad Saif
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 2 No. 1 (2026): June
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v2i1.2006

Abstract

This study investigates how emotional intensity, rather than sentiment direction, shapes engagement and algorithmic visibility in digital political discourse. Using sentiment analysis, a dataset of about 15,000 posts from Twitter (X) and YouTube was collected over a 30-day period and scored with a hybrid TextBlob, VADER, and BERT pipeline. Emotional strength (the absolute sentiment value) correlated moderately with engagement (r = 0.58, p < 0.05), whereas the directional sentiment score did not (r ≈ 0.05). Emotionally intense posts attracted about 2.4 times more engagement than neutral posts, and positive posts were the most frequent (41%) while neutral posts drew the lowest mean engagement. These results indicate that engagement-based ranking amplifies emotional magnitude over neutral or analytical content, which can narrow the diversity of visible expression. The findings give platform designers and policymakers a reproducible basis for assessing how affective dynamics shape visibility in algorithmically mediated public discourse.
Co-Authors Afrizal Putra Pratama Ahimsa Prana Aditya Ahmad M. Fuadi Ahmad Rozin Ahmad. M Fuadi Ahmada Aulia Rahman Ahsanul Amal, Muhammad Ahyana Ilham Wibisono Aisyah Mutia Dawis Aji Ari Adam Akbar, Yuma Akida Mulyaningtyas Al Farisi, Mu'taz Aldafi Prana Tantri Alfian Yulianto Ali Zainal Abidin Almira Putri Wibowo amal, Muhammad ahsanul Amri Zadi Hudaya Anas Faridrahman Anfaisa, Anfaisa Ibnu Danar Dana Annisa Kusumastuti Apriliana, Cindi Dila Ardhani, Rahmad Ariefin Nur Hidayat Arif Surya Kusuma Arini Nur Rohmah Arrijal Amar Ma'ruf ASRORI, M ACHMAD Avifah Hasna Nur Fadila Avisa Putri Rosyida Awwal, Salsabil Nuuril Ayu Putri Wardhani Badrus Zaman, Akhmad Roja Bambang Sukoco Basuki, Sucipto Bimantyoso Hamdikatama Budi Santoso Cahyaningtyas S W Dadang Iskandar Mulyana` Dandi Katerpilarifai Dandung Rahmatdhan Dasim, Dasim Devi Afriyantari Puspa Putri Dewi Sasika Rani Diah Priyawati Dimas Fajar Saputro Dinda Ghebrina Putri Dita Pratama Eka Firmansyah Ekasakti, Ganza Wajendra Fahira, Dea Fahlevi, Rezza Fatah Yasin Al Irsyadi fatah yasin irsyadi, fatah yasin Feri Riski Dinata Fiktor Kurnia Tafonao Fitri Kurniawan Galardhia Zain Azzahra Gilang Sri Nayaka Goestjahjanti, Francisca Sestri Hanafi, Syafiq Mahmadah Handhika, Alfian Nova Hanggaraxsha, Irwan Harisnur, Alvian Hasyim Asyari Helmi Imaduddin Hernanda Lilih Kusumaningtyas Hernanda, Rizka Hudzaifah, Salim Maula Husein Ihsan Cahyo Utomo Ilham Adhi Septanto Islam, Syful Ismail Setiawan Istajib Kulla Himmy’azz Ita Permatahati Ivan Pradana Ivanovick Abdurrakhman Ar Raniri Jumiana Jumiana Junizal Kaukaban Syarqi Nur Budiono Kumoro, Dwi Ferdiyatmoko Cahya Kun Harismah Kurniawan, Yogiek Indra Kusrini Kusumaningrum, Fadila Aulia Kusumastuti, Annisa Lukman Hakim Luthfiana Azzalea Afifah Machsunah, Yayuk Chayatun Mahendra, Galuh Raka Meilani, Reza Miftakhul Choiri Mila Faila Sufa Minallah, Aldin Nasrun Muhammad Davit Hilal Fahri Muhammad Furqan, Muhammad Muhammad Iqbal Hafidz Muhammad Saif Muslimawati, Dinny Patria Nabil Aziz Bima Anggita Nadia, La Ode Abdul Rajab Naila Khairunnisa Nailurrachman, M. Tariq Nasor, M. Nasor Nurasiah Nurasiah Pratomo Budi Santosa Prilya Shanty Adrianie Putra, Alvino Raditya Rahman, Ahmada Auliya Rahmatika, Hamni Kamal Raka Mahendra, Galuh Ramadhan, Muhammad Rivai Putra Reza Rendian Septiawan Rifa’I , Ahmad Ritonga, Hotman Sugeng Robby Nugroho Setyawan Rohmah, Alifah Alfiatur Rosmawati Rusnilawati Sadid, Muhammad Arib Umar safridha Audi Apriliasunfity Salsabila Putri Wibowo Salsabilla Nuraini, Arwinda Sania Citra Palupi Saputra, Masud Adhi Sarimole, Frencis Matheos Septanto, Ilham Adhi Sigit Setiyanto SITI FATIMAH Siti Fatimah SOPAN ADRIANTO Sugiyono Sugiyono Sulthon Kaffaah Al Farizzi Sutisna Sutisna Suwanto Suwanto Syamsuri Tami Rusli Tasya Indriani Titis Sri Wulan Tri Agus Setiawan Tri Wahyudi Umar Ali Ahmad Verania Nur Andika Viki Julian Avinda Nur Ependi Waqiah Wibowo, Rama Aziz Widi Widayat WINANTI, WINANTI Yasir Sidiq Yogatama Dwi Prasetya Yudi Wahyu W Yusuf Sulistyo Nugroho Zia Ul Rehman Zafar Zudana , Kirana Maharani