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MENINGKATKAN LITERASI DIGITAL DAN OPTIMALKAN PEMANFAATAN KOMPUTER MELALUI DIGITALISASI LAYANAN PEMERINTAHAN DESA KOTA CIREBON Permana, Indra Surya Permana; Ngiliyun, Ahmad Ngiliyun
Aspirasi Masyarakat Vol 2 No 2 (2025): Juli
Publisher : ICON Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71154/m319x535

Abstract

This community service activity aims to improve digital literacy and optimize the use of computers in administrative services in Klayan Village, Cirebon City. The implementation of the activity was carried out from March to April 2025 through a participatory approach, direct training, and field assistance. Training materials include the use of basic computers, Microsoft Office, and an introduction to digital-based village information systems. The evaluation of the activity showed a significant increase in participant skills, with post-test scores higher than pre-tests. In addition, changes in work behavior and increased administrative efficiency are reflected in the use of computers in daily work. One of the program's sustainability strategies is the formation of the Village Digital Working Group (KKDD) which functions as a local digital literacy agent. The output of the activity in the form of training modules, operational guides, and activity documentation have been submitted to village partners. This activity proves the effectiveness of academic interventions in increasing village technological capacity and strengthening administrative governance. The results of this service also show the importance of collaboration between academics and the community in bridging the digital divide. This model can be replicated in other villages with similar challenges.
PENGEMBANGAN APLIKASI DATACRAFT UNTUK ANALISIS SENTIMEN MEDIA SOSIAL SEBAGAI UPAYA PEMBERDAYAAN DIGITAL MASYARAKAT Ngiliyun, Ahmad; Nurharidhwan, Nurharidhwan
Aspirasi Masyarakat Vol 2 No 1 (2025): Maret
Publisher : ICON Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71154/asmara.v2i1.48

Abstract

The rapid development of social media creates enormous volumes of text data, requiring sentiment analysis tools that are easily accessible to the public. The purpose of this community service is to develop the DataCraft application as a free web platform for social media sentiment analysis using machine learning algorithms. The implementation method includes a 1-month data collection phase and 1.5 months application development using Python Flask, Naive Bayes, and Support Vector Machine (SVM) technologies. The application is equipped with data exploration, automatic preprocessing, modeling, and result visualization features. Test results show Naive Bayes accuracy reaches 77.25% with a user-friendly interface. The application successfully provides free access to students, researchers, and practitioners to perform sentiment analysis without requiring high programming skills. The impact of community service shows an increase in digital literacy capabilities of the community in analyzing public opinion on social media. DataCraft is available open-source on GitHub with complete tutorials to facilitate wider adoption.
UPAYA MENINGKATKAN ETIKA BERMEDIA DIGITAL BAGI SISWA DI SMP PGRI KARANGAMPEL Permana, Indra Surya; Ngiliyun, Ahmad; Ahmad Subagia, Herlan
ADIMA Jurnal Awatara Pengabdian Kepada Masyarakat Vol 1 No 1 (2023): Oktober
Publisher : Awatara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61434/adima.v1i1.133

Abstract

Di zaman sekarang, perkembangan literasi digital berkembang cukup pesat. Dalam literasi digital itu bukan hanya sekedar kemampuan mencari, menggunakan dan menyebarkan informasi akan tetapi, diperlukan kemampuan dalam membuat informasi dan evaluasi kritis, ketepatan aplikasi yang digunakan dan pemahaman mendalam dari isi informasi yang terkandung dalam konten digital tersebut. Di sisi lain literasi digital mencakup tanggung jawab dari setiap penyebaran informasi yang dilakukannya karena menyangkut dampaknya terhadap masyarakat.. Beberapa kenakalan remaja yang sering dilakukan di dunia digital salah satunya adalah penyebaran hoax. Tujuan dari kegiatan pengabdian ini adalah untuk meningkatkan pemahaman dan kecerdasan dalam beretika digital bagi siswa di SMPN PGRI Karangampel. Jumlah peserta yang hadir adalah 71 siswa. Dari hasil kegiatan tersebut, dilakukan evaluasi kuisioner menggunakan 2 variabel yaitu pemahaman beretika digital dan penyebaran hoax dan akibatnya.
SOSIALISASI PENGEMBANGAN DIGITALISASI UKM MENUJU MASYARAKAT MANDIRI DALAM MENYONGSONG ERA SOCIETY 5.0 DI DESA KARANGAMPEL KIDUL Ngiliyun, Ahmad; Wahyuni, Dewi; Azis, Nur
ADIMA Jurnal Awatara Pengabdian Kepada Masyarakat Vol 1 No 1 (2023): Oktober
Publisher : Awatara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61434/adima.v1i1.135

Abstract

Permasalahan yang dihadapi oleh para pelaku usaha di Desa Karangampel Kidul dalam pengembangan UKM. Objek dalam kegiatan sosialisasi ini adalah UKM di Desa Karangampel Kidul. Kegiatan sosialisasi ini bertujuan untuk meningkatkan upaya pengembangan UKM. Berdasarkan hasil observasi diketahui bahwa Desa Karangampel Kidul pada umumnya menggambarkan terdapat banyak potensi, namun belum tergali dan teroptimalkan dalam pemanfaatannya. Adapun permasalahan dalam pengembangan Pada UKM di Desa Karangampel Kidul yaitu: kurangnya ilmu pengetahuan para pemilik UMKM mengenai teknologi terkini. Untuk mengatasi permasalahan tersebut maka perlu dilakukan sosialisasi mengenai apa saja yang diperlukan oleh para pelaku UKM untuk mentransformasi usahanya menjadi digital. Kegiatan ini di laksanakan dalam rangka mendorong pertumbuhan UKM yang ada di Desa Karangampel Kidul. Selain itu, kegiatan ini juga bertujuan untuk melakukan digitalisasi produk U KM diperdesaan guna mentransformasikan proses pemasaran yang bersifat konvensional kearah digital.
SISTEM INFORMASI MANAJEMEN ADMINISTRASI PANTI YAUMA & DHU’AFA CIREBON BERBASIS WEBSITE Latifa, Restiani Dwi; Ngiliyun, Ahmad; Kosasih, Asep; Permana, Sumarna Indra
TECHNOVATAR Jurnal Teknologi, Industri, dan Informasi Vol 2 No 2 (2024): APRIL
Publisher : Awatara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61434/technovatar.v2i2.143

Abstract

Perkembangan teknologi dan informasi pada zaman sekarang sudah mulai berkembang pesat, semua jenis pekerjaan yang dilakukan lebih efisien dan efektif karena adanya teknologi. Penelitian yang telah saya lakukan pada Panti Yauma dalam pendataan administrasinya masih manual karena masih menggunakan pembukuan, sehingga dapat mengakibatkan penumpukan kertas bukti transaksi atau bisa saja menyebabkan kesalahan yaitu terdapat data yang hilang dan data ganda. Pada penelitian ini peneliti menggunakan metode deskriptif yang mana penelitian diarahkan untuk memberikan gejala-gejala, fakta-fakta atau kejadian-kejadian secara sistematis dan akurat, mengenai sifat-sifat populasi di Panti Yauma. Dengan adanya program sistem informasi manajemen administrasi Panti Yauma akan lebih mengoptimalkan kinerja dari staf administrasi dan mempermudah dalam mengelola data-data administrasi agar tidak terjadinya penumpukan dokumen. dan pada sistem ini data akan tersimpan pada database sehingga data bisa dilihat maupun dicetak secara real-time.
PENERAPAN KRIPTOGRAFI RSA UNTUK MENGATASI PEMALSUAN DALAM INDUSTRI PENERBITAN BUKU Ngiliyun, Ahmad; Rosidin, Rosidin; Nugraha, Deni
TECHNOVATAR Jurnal Teknologi, Industri, dan Informasi Vol 2 No 4 (2024): OKTOBER
Publisher : Awatara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61434/technovatar.v2i4.247

Abstract

This study aims to develop a book publishing information system that can assist lecturers in publishing their academic works more efficiently and securely. The system implements the Rivest-Shamir-Adleman (RSA) cryptographic algorithm to protect book data from unauthorized access, as well as to prevent counterfeiting and copyright infringement. With the encryption applied, only authorized parties can access sensitive information. The implementation of this system has proven to increase efficiency in the book publishing process, reduce administrative obstacles, and enhance authors' confidence in the security of the system. It is expected that this system will boost academic productivity and maintain the integrity of lecturers' intellectual works.
Optimizing Incident Management With Itil V4 Framework For Internet Network Stability At Mahardika Institute Of Technology And Health Cirebon Ahmad Ngiliyun; Franciskus Antonius Alijoyo
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.2804

Abstract

In the evolving digital era, computer networks have become vital infrastructure for various institutions and organizations, including educational institutions such as the Mahardika Institute of Technology and Health. At the same time, network instability can cause disruptions in daily activities, including teaching and learning activities, access to information resources, and various other support services. This research aims to identify and address network instability at the Mahardika Institute of Technology and Health using a Case Study research method.
Big Data Utilization and Online Promotion Strategy Impacting Customer Satisfaction Through Digital Experience and Buying Decision West Java Indra Surya Permana Permana; Ahmad Ngiliyun
Jurnal Bisnis dan Kewirausahaan Vol 3 No 2 (2026): July
Publisher : ICON Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71154/hme4zt95

Abstract

This study examines the influence of big data utilization and online promotion strategy on customer satisfaction, digital experience, and buying decision in the context of digital consumers in West Java. A quantitative approach was employed using a survey method with 250 respondents selected through purposive sampling. Data were analyzed using Structural Equation Modeling with Partial Least Squares (SEM-PLS). The results indicate that big data utilization and online promotion strategy significantly affect customer satisfaction. Furthermore, customer satisfaction has a significant impact on both digital experience and buying decision. The findings also reveal that big data utilization directly influences digital experience, while online promotion strategy directly affects buying decision. These results suggest the presence of both direct and indirect relationships, highlighting the mediating role of customer satisfaction. The study confirms that data-driven strategies and effective digital promotion are critical in enhancing customer perceptions and behavior. From a theoretical perspective, this research extends the concept of data-driven customer experience by integrating multiple outcome variables. Practically, the findings provide insights for businesses to optimize digital marketing strategies and improve customer engagement. Overall, this study contributes to a deeper understanding of digital marketing effectiveness in emerging markets.
INTEGRATED GOVERNANCE MODEL SECARA END-TO-END PADA LAYANAN AKADEMIK MENGGUNAKAN PROCESS ARCHITECTURE, RACI, DAN BPMN Fardhoni, Fardhoni; Ngiliyun, Ahmad
TECHNOVATAR Jurnal Teknologi, Industri, dan Informasi Vol 3 No 1 (2025): JANUARI
Publisher : Awatara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61434/technovatar.v3i1.228

Abstract

In the higher education academic environment, the learning administration process is an important aspect that supports the smooth running of academic activities and the quality of education. This research focuses on the analysis and implementation of the RACI Matrix and Business Process Model and Notation (BPMN) in higher education academic administration, especially in the process of preparing Study Plan Cards (KRS) at the Mahardika Institute of Technology and Health, Cirebon. Through this case study, the research aims to identify and map the responsibilities and work flow involved in the KRS preparation process, so as to increase the efficiency and effectiveness of academic administration. This research uses a qualitative design with a case study approach, where data is collected through observation, document analysis, and using diagrams.net tools to create BPMN. The results of this research show that the implementation of the RACI Matrix and BPMN can provide clear guidance regarding the roles and responsibilities of each party, as well as facilitate understanding of the flow of the KRS preparation process. This has the potential to improve coordination and communication between the parties involved, as well as reduce errors and ambiguity in the academic administration process.
PREDIKSI HASIL PERTANDINGAN DOTA 2 DENGAN MACHINE LEARNING: STUDI KASUS SATU PEMAIN DAN KONTRAS MODEL PRAPERTANDINGAN DENGAN PASCAPERTANDINGAN Ngiliyun, Ahmad
TECHNOVATAR Jurnal Teknologi, Industri, dan Informasi Vol 4 No 4 (2026): OKTOBER
Publisher : Awatara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61434/technovatar.v4i4.388

Abstract

Match outcome prediction in multiplayer online battle arena games is often reported with high accuracy, yet many reported figures rely on information that exists only after a match, and small samples inflate performance. This case study asks what can be predicted for a single player and how much apparent accuracy is optimism. We used 739 ranked All Pick Dota 2 matches (375 wins) of one player, retrieved through the OpenDota API, in three scenarios: pre-match win or loss classification (A), post-match explanatory classification (B), and pre-match regression of gold per minute (GPM) and KDA (C). Validation combined repeated cross-validation on 541 earlier matches for model selection, a single out-of-sample confirmation on 198 later matches, and walk-forward validation. Pre-match models reached AUC of 0.471 to 0.520 in development, 0.572 (95% CI 0.490 to 0.646) in confirmation, and 0.519 to 0.529 in walk-forward validation, close to chance; an AUC of 0.615 from an earlier exploration of 199 matches proved optimistic. The post-match model reached AUC of 0.921 but explains rather than predicts outcomes. Hero choice explained 26 to 30% of GPM variance but little of KDA. Chronological validation is needed to avoid leakage.