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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal UNITEK Jurnal Sistem Informasi Akuntansi Conten : Computer and Network Technology J-Intech (Journal of Information and Technology) Jurnal Konseling Pendidikan Islam Community Empowerment Journal Journal of Information Technology
Dzulchan Abror
Universitas Bina Sarana Informatika
Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Library & Information Science Other

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PENGEMBANGAN WEBSITE KULINER TEGAL SEBAGAI MEDIA INFORMASI DAN PROMOSI UMKM MENGGUNAKAN METODE WATERFALL Rousyati; Azzah Rifqi Hakim; Fandhilah Fandhilah; Sopian Aji; Dzulchan Abror
CONTEN : Computer and Network Technology Vol. 5 No. 2 (2025): Desember 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/conten.v5i2.11215

Abstract

Perkembangan bisnis kuliner di Indonesia menunjukkan peningkatan signifikan, ditandai dengan semakin banyaknya restoran, kafe, dan tempat makan yang bersaing memperebutkan pelanggan. Pola konsumsi masyarakat juga mengalami perubahan, di mana konsumen cenderung memilih layanan pemesanan makanan secara daring dengan mempertimbangkan rating, ulasan, serta rekomendasi digital. Untuk menjawab kebutuhan tersebut, “Kuliner Tegal” dikembangkan sebagai sistem informasi berbasis website yang menyediakan rekomendasi makanan dan tempat makan dengan rating terbaik sesuai preferensi pengguna. Sistem ini tidak hanya memudahkan masyarakat dalam menemukan kuliner yang tepat tanpa harus datang langsung atau mengantri, tetapi juga berfungsi sebagai media promosi digital bagi pelaku UMKM kuliner di Kota Tegal. Pengembangan website Kuliner Tegal menggunakan metode System Development Life Cycle (SDLC) model Waterfall, meliputi tahapan analisis, desain, implementasi, pengujian, dan pemeliharaan. Website ini menawarkan beberapa kelebihan, antara lain kemampuan menampilkan rekomendasi berdasarkan rating dan harga, serta kemudahan akses bagi seluruh pengguna. Namun demikian, sistem ini masih memiliki keterbatasan, yaitu belum menyediakan fitur pencarian berdasarkan jarak terdekat maupun informasi promo yang sedang berlangsung pada masing-masing tempat makan. Temuan ini menjadi dasar bagi pengembangan fitur lanjutan agar sistem dapat memberikan rekomendasi yang lebih personal dan relevan.                
Lexicon-Based Approach for Sentiment Analysis of Technology Students in the City of Tegal toward AI Adoption in Learning Dzulchan Abror; Angga Ardiansyah
J-INTECH ( Journal of Information and Technology) Vol 14 No 02 (2026): Journal of Information and Technology
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v14i02.2335

Abstract

This study aims to analyze the sentiment of technology students in Tegal City toward the adoption of Artificial Intelligence (AI) in learning. The explicit novelty of this research lies in its empirical focus on a localized tech-cluster student cohort within a regional urban area (Tegal City) who display uniquely high frequencies of digital-tool interaction, coupled with a specialized lexicon-based computational framework optimized for Indonesian academic linguistics. The research employs a descriptive quantitative approach combined with text mining techniques. Data were collected through an online survey involving 158 respondents using a questionnaire consisting of closed and open-ended questions. Sentiment analysis was conducted using a lexicon-based method to classify opinions into positive, neutral, and negative categories. The results indicate that students’ experiences with AI are dominated by positive sentiment (56.96%), reflecting its benefits in improving efficiency and understanding of learning materials. However, in terms of future expectations, there is an increase in neutral (44.94%) and negative (8.86%) sentiments, indicating a more critical perspective. The main concerns include overdependence on AI and the accuracy of AI-generated information. This study concludes that AI has significant potential to support learning, but its use should be balanced with the development of critical thinking skills and the improvement of reliable and accurate AI systems.
Co-Authors Abimanyu Surya Putra Andrian Eko Widodo Andrian Eko Widodo Angga Ardiansyah Angga Ardianysah Asyahri Hadi Nasyuha Azzah Rifqi Hakim Chung, Meng-Yun Cindy Ayu Santika Dea T rinanda Prameswari Fandhilah Fandhilah Fandhillah Fandhillah Fanny Fatma Wati Hiya Nalatissifa Husni Mubarok Imam Tazali Lidwan , Nanang Luthfiah Alya Choirunnisa Ma'ruf, Amar Nikmatul Maula Perangin-angin, Moch. Iswan Puspa Fortuna Zulfa Riza Arby Khoerus Shidiq Rousyati Rousyati Rousyati Sopian Aji Suryani, Ery Tri Ayuningsih Dewi Indahrini Ulumuddin Ulumuddin Warjiyono Warjiyono