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All Journal bit-Tech JUTECH : Journal Education and Technology JAMAIKA: Jurnal Abdi Masyarakat KOMMAS: Jurnal Pengabdian Kepada Masyarakat Abdi Jurnal Publikasi Journal of Research and Publication Innovation Jurnal Ilmu Komputer (JIK) OKTAL : Jurnal Ilmu Komputer dan Sains Journal of Innovative and Creativity Jurnal PRINTER : Jurnal Pengembangan Rekayasa Informatika dan Komputer
Andrian Hidayat
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Social Sciences Other

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Implementasi Kriteria Dalam Metode Weighted Product Untuk Menentukan Santri Terbaik Di Pondok Pesantren Nafidatunnajah Andrian Hidayat; Ade Napila
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 4 No 07 (2025): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

A santri is an individual who undergoes Islamic education in a boarding school known as a pondok pesantren, typically residing there until the completion of their studies. Upon graduation, some santri voluntarily dedicate themselves to serve as staff in the pesantren. At Yayasan Nafidatunnajah Islamic Boarding School, the selection of the best santri is a regular activity conducted each academic period to encourage students to improve their academic achievements and moral conduct. Outstanding students are not only recognized but also awarded by the foundation. However, the selection process faces challenges due to the large number of assessment criteria and the lack of standardized weightings for each criterion. Currently, no decision support system is in place to assist in making objective and efficient evaluations. This study aims to develop a decision support system using the Weighted Product (WP) method. WP works by multiplying the values of each attribute, which are first exponentiated by the respective criterion weight. This ensures that the results align with the preferences and priorities set by the institution. The proposed system is expected to support the pesantren in selecting the best santri more effectively and objectively. The final output of this research is intended for publication in a national academic journal.
ANALISIS PERBANDINGAN BAHASA PEMROGRAMAN PYTHON DAN JAVA UNTUK PEMULA Harahap, Muhammad Farhan; Ramadhani, Rima Fazri; Latip, Asep Abdul; Hidayat, Andrian
JUTECH : Journal Education and Technology Vol 6, No 1 (2025): JUTECH JUNI
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jutech.v6i1.4933

Abstract

Di era kemajuan teknologi informasi, kemempuan menguasai Bahasa pemrograman menjadi salah satu keterampilan dasar yang sangat penting, baik dalam bidang Pendidikan maupun industry. Dari sekian banyak Bahasa pemrograman yang tersedia, Python dan Java merupakan dua di antaranya yang paling popular dan kerap dijadikan pilihan utama bagi pemula. Penelitian ini bertujuan untuk membandingkan kedua bahasa tersebut dalam konteks pembelajaran pemrograman bagi pemula, dengan meninjau aspek sintaksis, paradigma, pemrograman, kemudahan dalam proses belajar, ketersediaan dokumentasi, dukungan komunitas, serta penerapan pratis dalam pengembangan aplikasi. Metode yang digunakan adalah pendekatan kualitatif deskriptif melalui studi Pustaka, pengamatan sintaksis, dan analisis studi kasus dari dari berbagai sumber yang relevan. Temuan dari penelitian ini menunjukan bahwa phyton memiliki keunggulan dalam hal kemudahan belajar dan keterbacaan kode, sehingga lebih sesuai untuk pemula yang belum memiliki latar belakang teknis. Sementara itu, Java menawarkan struktur pemrograman berorientasi objek yang lebih terstryktur, cocok bagi pemula yang ingin memahami konsep OOP secara mendalam sejak awal. Hasil studi ini diharapkan dapat menjadi acuan bagi para pendidik, penyusun kurikulum, maupun individu yang ingin memulai pembelajaran pemrograman secara lebih efektif dan sistematis.Kata kunci: Python, Java, bahasa pemrograman, pemula, sintaks, pembelajaran, OOP
Analisis Sentimen pada Ulasan Aplikasi FinTech di Indonesia: Studi Komparatif Model Machine Learning dan Deep Learning Ahmad Fauzi; Achmad Lutfi Fuadi; Agus Heri Yunial; Andrian Hidayat; Ade Napila
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.6939

Abstract

Pertumbuhan sektor Teknologi Finansial (FinTech) telah menjadikan umpan balik pelanggan dari platform digital sebagai sumber penting untuk pengambilan keputusan strategis. Namun, volume dan ketidakstrukturan data, khususnya dalam bahasa informal seperti Bahasa Indonesia, menimbulkan tantangan analitis yang signifikan. Penelitian ini bertujuan untuk mengidentifikasi pipeline optimal untuk klasifikasi sentimen pada ulasan pengguna Livin' by Mandiri, super-app perbankan digital Indonesia. Kami melakukan analisis komparatif menggunakan dataset dunia nyata berisi 117.471 ulasan yang tidak seimbang (55% negatif, 31% positif, 14% netral) yang dibersihkan dari Google Play Store. Dua teknik vektorisasi teks, Bag-of-Words (BoW) dan TF-IDF, diuji pada empat classifier machine learning: Random Forest, Logistic Regression, Decision Tree, dan SVM, serta dibandingkan dengan model Deep Learning berbasis Long Short-Term Memory (LSTM). Hasilnya menunjukkan bahwa model LSTM unggul dengan akurasi 98,02% dan weighted F1-score 0,99, sementara model machine learning terbaik, Logistic Regression dengan TF-IDF, menghasilkan weighted F1-score 0,92. Temuan ini menegaskan bahwa meskipun machine learning tradisional efektif, LSTM lebih unggul dalam menangkap konteks dalam data sekuensial yang kompleks dan tidak seimbang. Penelitian ini menawarkan kerangka kerja yang berguna bagi institusi keuangan untuk menerapkan sistem analisis sentimen otomatis yang akurat dan efektif.
Cultivating Digital Media Ethics Awareness: The Dangers of Deepfakes and Disinformation for Teenagers (MTSS AL-Hidayah) hidayat, andrian; Napila, Ade
KOMMAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2026): KOMMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : KOMMAS: Jurnal Pengabdian Kepada Masyarakat

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Abstract

Deepfakes are fake digital content (images, videos, or audio) that are realistically synthesized using artificial intelligence (AI) and machine learning techniques, such as artificial neural networks. This technology is capable of manipulating media, for example by swapping faces or forging voices, creating the illusion that a person has performed actions they never actually did. In Indonesia, deepfake has evolved from an entertainment tool into a serious threat, causing various cases involving the general public, public figures, and stakeholders. Given the high risk, understanding the identification and response to deepfake content needs to be instilled early on, especially among adolescents, to minimize negative impacts in the digital era. This Community Service (Pengabdian Kepada Masyarakat/PKM) activity aims to increase the knowledge and awareness of Madrasah Tsanawiyah (MTs) students regarding the deepfake phenomenon and its impact on daily digital security. The PKM implementation uses educational methods through structured counseling, interactive discussions, and simple practices for detecting the characteristics of deepfake content. The results of the activity show a significant increase in students' knowledge and critical attitude towards digital security issues. Students now have the basic foundation to detect manipulative content, making them more vigilant and selective in filtering information circulating on social media. Keywords: Deepfake, Digital Security, Adolescents, Community Service.
Web-Based E-commerce Design Using the Waterfal Method Dede Eko Saputro; Andrian Hidayat; Muhamad Rosdiana
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3400

Abstract

Current advancements in digital technology have transformed transaction and sales activities, yet CV. Mella Vista still relies on manual processes that limit information accessibility and reduce operational efficiency. Responding to this limitation, the study aims to develop a structured web-based e-commerce system that enhances promotional reach, transaction processing, and administrative reporting. The system was designed using the Waterfall method, incorporating sequential phases of analysis, design, implementation, and testing, and implemented using PHP and MySQL to ensure stable data management and functional reliability. Through this approach, the research provides a clear methodological foundation for developing a system aligned with organizational needs. The resulting e-commerce platform offers real-time product visibility, streamlined ordering procedures, and automated reporting features, addressing the reviewers’ emphasis on clarifying methodological contribution and system capabilities. Empirical testing demonstrates that the system operates effectively across key functions—user authentication, product display, cart management, checkout, and payment verification—supporting accuracy and ease of use for both administrators and customers. Quantitative evaluation shows that sales increased from 6,577,500 in November to 8,795,000 in December, representing an approximate 33.7% improvement, thereby providing contextual clarity as requested by reviewers. This measurable gain indicates that the system not only enhances data processing efficiency but also strengthens customer engagement and purchasing activity. Overall, the findings confirm that the implemented e-commerce system significantly improves operational effectiveness, increases informational transparency, and supports stronger competitive positioning, offering a practical digital solution for small enterprises seeking to modernize their sales processes.
Co-Authors A. Nurul Anwar Achmad Lutfi Fuadi Ade Napila Agus Heri Yunial Ahmad Fauzi Dede Eko Saputro Harahap, Muhammad Farhan Latip, Asep Abdul Muhamad Rosdiana Nur, Amri Muliawan Nurhidayati Nurhidayati Raihan Hari Dwiguna Ramadhani, Rima Fazri Yuliana Yuliana