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All Journal Elkawnie Jurnal Penelitian Pendidikan IPA (JPPIPA) Cyberspace: Jurnal Pendidikan Teknologi Informasi Journal of Data Analysis Jurnal Kreativitas PKM Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal ABDINUS : Jurnal Pengabdian Nusantara Brilliance: Research of Artificial Intelligence Jurnal Transformasi Administrasi Jurnal Teknologi Terapan and Sains 4.0 Smart Techno (Smart Technology, Informatic and Technopreneurship) Statistika Buletin Pengabdian J-SIGN (Journal Of Informatics, Information System, And Artificial Intelligence) Infolitika Journal of Data Science PESARE: Science and Engineering Service Journal Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics PERFECT: Journal of Smart Algorithms
Zulfan Zulfan
Informatika, Universitas Syiah Kuala, Banda Aceh, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Penerapan Aplikasi-Aplikasi Microsoft Office dan Google Docs dalam Upaya Peningkatan Media Pembelajaran di Madrasah Aliyah Negeri 5 Bireuen Irvanizam, Irvanizam; Misbullah, Alim; Zulfan, Zulfan; Farsiah, Laina; Subianto, Muhammad
PESARE: Jurnal Pengabdian Sains dan Rekayasa Vol 1, No 1 (2023): Oktober 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/pesare.v1i1.33833

Abstract

This community service activity aims to introduce Microsoft Office and Google Docs applications to teachers and students at Madrasah Aliyah Negeri (MAN) 5 Bireuen as an online teaching media in performing teaching and learning processes during the COVID-19 pandemic. This activity was carried out by a community service team of lecturers from the Department of Informatics, Universitas Syiah Kuala. The activity was held for three days from 2 until 4 April 2021 and consisted of two sessions. The first session introduced Microsoft Office applications for learning at the high school level. The second session demonstrates Google Docs applications for providing teaching materials. The activity participants were very enthusiastic about participating in this activity by asking lots of questions and being explained by the community service team. The result of this activity is that teachers find it very easy and quick to understand how to use these applications for their teaching and learning activities. They hope that online learning activities using the website-based Content Management System method will continue to be carried out as future works.
Pembinaan analisis data dan informasi statistik perencanaan pembangunan daerah [Development of statistical data analysis and information for regional development planning] Marzuki, Marzuki; Ula, Akramul; Munawar, Munawar; Rasudin, Rasudin; Zulfan, Zulfan; Zuhra, Rahma; Usman, Tarmizi; Iqbal, Muhammad
Buletin Pengabdian Vol 4, No 1 (2024): Bull. Community. Serv.
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/bulpengmas.v4i1.35650

Abstract

The purpose of this development activity is to enhance skills in planning, data analysis, and the use of information technology so that the Subulussalam City Government can improve the quality of planning documents produced, respond to the needs of the community, and provide a good understanding to employees related to statistical analysis. The method of implementing this activity is through training or seminars held on October 5, 2023, at the Regional Development Planning Agency (Bappeda) Hall of Subulussalam City for approximately 3 hours. The material presented includes basic concepts of statistical analysis, data analysis techniques, and the application of statistical analysis in regional development planning. Three main challenges in statistical analysis of regional development data include data limitations, data collection errors, and data processing errors. These challenges can be overcome by increasing understanding of methodology, quantity and quality of human resources, and inter-agency coordination. Statistical analysis in regional development planning can result in more targeted regional development planning and can identify challenges and opportunities to achieve sustainable development plans. Statistical analysis in regional development planning is important to be used as the basis for objective policies.
PERANCANGAN APLIKASI MOBILE BERBASIS ANDROID UNTUK BIMBINGAN KONSELING DI KALANGAN REMAJA SMA Zulfan, Zulfan; Yunardi, Dalila Husna; Simatupang, Haryulina; Sukiakhy, Kikye Martiwi; Junidar, Junidar
Jurnal Teknologi Terapan and Sains 4.0 Vol 6 No 3 (2025): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v6i3.25173

Abstract

Masa remaja adalah periode transisi yang penuh dengan tantangan fisik, emosional, dan sosial, yang sering kali menimbulkan berbagai perasaan negatif seperti kecemasan, depresi, dan kebingungan. Remaja SMA dihadapkan pada tekanan akademik yang berat, bullying, serta masalah keluarga yang dapat memperburuk kondisi mental mereka. Meskipun banyak remaja yang membutuhkan bimbingan konseling, akses terhadap layanan tersebut masih terbatas karena kurangnya jumlah konselor, stigma negatif terhadap kesehatan mental, dan biaya yang tinggi. Teknologi mobile diharapkan dapat menjadi solusi efektif untuk mengatasi keterbatasan ini. Fitur-fitur utama aplikasi ini meliputi pendaftaran akun, komunikasi dengan konselor melalui chat, dan penyimpanan data konseling. Melalui aplikasi ini dapat dilihat adanya peningkatan akses dan efektivitas layanan bimbingan konseling, serta memberikan dampak positif pada kesejahteraan mental remaja SMA. Kata kunci: Remaja SMA, Kesehatan mental, Bimbingan konseling, Aplikasi mobile, Android.
Rancang Bangun Aplikasi Edukasi Dan Pemantauan Stunting Pada Balita Berbasis Android Sukiakhy, Kikye Martiwi; Yunardi, Dalila Husna; Farhan, Muhammad; Zulfan, Zulfan; Junidar, Junidar
J-SIGN (Journal of Informatics, Information System, and Artificial Intelligence) Vol 4, No 01 (2026): May
Publisher : Department of Informatics, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/j-sign.v4i01.50318

Abstract

Aplikasi Mobile Berbasis Android Untuk Edukasi Dan Pemantauan Stunting Pada Balita ini menggunakan standar pertumbuhan dari World Health Organization (WHO) untuk mengklasifikasikan status tinggi dan berat badan anak. Aplikasi ini dirancang dengan fokus pada kemudahan penggunaan dan akurasi, memberikan wawasan kesehatan yang dipersonalisasi untuk anak berdasarkan usia, jenis kelamin, tinggi, dan berat badan mereka. Dengan menggunakan arsitektur Model-View-ViewModel (MVVM), aplikasi ini memastikan pemisahan yang jelas antara tampilan dan logika bisnis serta mendukung pengikatan data yang efisien, sehingga menjadikannya kuat dan mudah dikelola. Aplikasi ini dibangun dengan menggunakan bahasa kotlin serta Android studio yang menawarkan antarmuka grafis (GUI) sehingga lebih mudah digunakan untuk pengembangan aplikasi Android Fitur utama termasuk sistem klasifikasi komprehensif untuk status pertumbuhan anak, autentikasi untuk pengelolaan data yang dipersonalisasi, dan antarmuka intuitif untuk kemudahan penggunaan. Hasil pengujian menunjukkan bahwa aplikasi ini mampu memberikan klasifikasi status pertumbuhan anak, menjadikannya alat yang andal untuk memantau dan mengedukasi mengenai stunting pada balita.
Teknologi Pembuatan Garam Bersistem Elektrik Pada Kelompok Garam Meugah Raya Sari, Dewi Maya; Fachri, Zoel; Zulfan, Zulfan
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 4 No 1 (2020): Volume 4 Nomor 1 Tahun 2020
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v4i1.13931

Abstract

This Stimulus Community Partnership Program (PKMS) aims to make an electric salt cooker that can be used by salt farmers efficiently. The process of making salt by the Meugah Raya Salt Group still uses the traditional method of evaporating seawater in plastered plots with sunlight without using any technological tools. Although raw materials are abundant, salinity and dissolved pollutants are very diverse. Moreover, the equipments used were still conventional and relies on firewood as a salt cooking fuel so that the capital needed to cook salt is large enough. To solve the current problem, through this program, it created an electrical system salt cooker named "Electrical Salt Machine". Meanwhile, the method employed started at the socialization and site survey, the finalization and design of tools, preparation of tools and materials, manufacturing tools, testing tools, evaluating and refining tools, simulating the use of tools to partners and assisting partners and monitoring. The results showed that the process of making salt by using this tool was able to save time at cooking salt. Furthermore, it was more efficient since it had no longer of using firewood so that it saved costs.
Design and Development of Website and Android-Based Aceh Biodiversity Applications Muhammad Subianto; Essy Harnelly; Alim Misbullah; Razief Perucha Fauzie Afidh; Fikrul Akhyar; Muhammad Irfan; Wira Dharma; Nazaruddin; Zulfan
Jurnal Penelitian Pendidikan IPA Vol 11 No 4 (2025): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i4.10535

Abstract

Aceh is an exceptional region in Indonesia characterized by significant biodiversity and abundant natural wealth. Despite these numerous benefits, there is limited information regarding the potential of biodiversity in this region. Therefore, this research aimed to design and develop Website and Android-based applications to facilitate access to information regarding biodiversity in Aceh. In the development process, the Waterfall method was used, and the applications consisted of two main components, namely the back-end and the front-end. The users were divided into three categories, including contributors, verificators, and admins. After the development was complete, functionality testing was conducted using the black box method, and usability was examined using the Post-Study System Usability Questionnaire (PSSUQ). The results of functionality testing showed that both applications operate efficiently, thereby providing users with a satisfying experience when accessing information about Aceh biodiversity. The usability score was approximately 7 for Website-based and 6 for Android-based applications, showing a high level of usability.
Google Loon Sebagai Solusi Terkini Koneksivitas Internet Di Daerah Pedalaman Dan Terpencil Zulfan Zulfan; Muhammad Chaidir; Lulu Huril In
Elkawnie Vol. 2 No. 2 (2016)
Publisher : Faculty of Science and Technology Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ekw.v2i2.2687

Abstract

Result of this study shows that two of three of its users around the world, internet is not reachable technology especially in hinterland and remote area.Usage of satellite and optic fiber for internet system in those areas is not affordable. By using Google Loon technology,internet users in the areas can access internet.Google Loon is able to spread accessibility of internet up to 1250 km²(wide) or 40 km diameter), and speed of accessibility reaches 3G(10Mbps)
RANCANGAN SISTEM INFORMASI COVERAGE AREA DAN PENGADUAN PELANGGAN BERBASIS WEB PADA PT. TELKOM AKSES BANDA ACEH Abidah Ardelia; Rasudin Rasudin; Kikye Martiwi; Sukiakhy Sukiakhy; Zulfan Zulfan; Junidar Junidar; Juwita Juwita; Muslim Muslim
Jurnal Teknologi Terapan and Sains 4.0 Vol 7 No 2 (2026): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v7i2.28157

Abstract

Sistem informasi coverage area dan pengaduan pelanggan adalah sebuah sistem aplikasi berbasis website yang bertujuan untuk memudahkan pelanggan dalam mengecek ketersediaan layanan jaringan fiber optik dan menyampaikan pengaduan secara digital kepada PT. Telkom Akses Banda Aceh. Sistem ini dibangun menggunakan bahasa pemrograman PHP (Hypertext Preprocessor), XAMPP sebagai server lokal, dan MySQL sebagai basis datanya. Penelitian ini ditujukan untuk merancang dan mengimplementasikan sistem informasi berbasis web yang menyajikan data coverage area serta menyediakan fasilitas pengaduan pelanggan yang terdokumentasi. Metode pengembangan yang digunakan adalah waterfall, yang meliputi analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Hasil dari implementasi sistem ini menunjukkan bahwa sistem yang dirancang dapat beroperasi dengan baik dan sesuai dengan kebutuhan PT. Telkom Akses Banda Aceh. Implementasi dari sistem ini diharapkan dapat meningkatkan efisiensi pelayanan, mempercepat proses respons terhadap keluhan pelanggan, serta memperkuat akuntabilitas dalam pengelolaan data coverage area dan pengaduan. Kata kunci: Telkom akses, coverage area, website
Evaluating the Performance of the No Language Left Behind Encoder for Sentiment Classification Across Multiple Indonesian Regional Languages Zul Akhyar; Zahnur; Martiwi Sukiakhy, Kikye; Zulfan; Nazaruddin
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 8 No. 2 (2026)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v8i2.213

Abstract

This study aims to evaluate the performance of the encoder from the No Language Left Behind (NLLB) model for sentiment classification tasks across several Indonesian regional languages. Originally developed for machine translation, the NLLB model is explored for its ability to generate contextual text representations that are relevant to sentiment classification. The dataset used in this study is NusaX, which comprises 12 languages, including Indonesian, English, and 10 Indonesian regional languages. Two training approaches were employed: fine-tuning, in which all model parameters were updated using sentiment classification data, and partial fine-tuning, in which only the upper layers were updated while the embedding layer was frozen to preserve the original lexical representations. Training was conducted using the AdamW optimization algorithm with CrossEntropyLoss as the loss function and mean pooling as the feature aggregation mechanism. Model performance was evaluated using accuracy and macro F1-score metrics at both the multilingual and per-language levels. The results indicate that the two approaches achieved comparable performance, with an accuracy of 81% and a macro F1-score of 80% on the multilingual dataset. Per-language analysis further revealed that the model performed better on languages that had been included in the original NLLB pretraining data, such as Acehnese, Balinese, Banjarese, Minangkabau, Javanese, and Sundanese, achieving accuracy scores ranging from 79% to 86%. In contrast, several languages that were not covered during NLLB pretraining, including Ngaju, Madurese, and Toba Batak, exhibited slightly lower performance, with accuracy scores ranging from 70% to 78%. These findings demonstrate that the NLLB encoder possesses strong adaptation capabilities for text classification tasks, even in the context of low-resource regional languages.
The Effectiveness of Machine Learning Techniques in Anomaly Detection for Cyberattack Prevention: Systematic Literature Review 2020-2025 Arie Budiansyah; Zulfan Zulfan; Nizamuddin Nizamuddin; Rudi Arif Candra; Dirja Nur Ilham; Nazaruddin Nazaruddin
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6124

Abstract

As digital technology evolves, cyberattacks are becoming more diverse and difficult to detect. Conventional detection methods are often incapable of recognizing new and sophisticated attack patterns. Therefore, machine learning techniques are starting to be widely used because of their ability to study data patterns and detect unusual or anomalous activities. This study aims to systematically examine the effectiveness of various machine learning techniques in detecting anomalies as an effort to prevent cyberattacks. The research was conducted using the Systematic Literature Review (SLR) method on 20 scientific articles from reputable journals published between 2020 and 2025. The articles were selected through a search, selection, and analysis process following PRISMA guidelines. The results of the study show that algorithms such as Random Forest and Decision Tree consistently provide accurate detection results, especially in network systems and the Internet of Things (IoT). Meanwhile, deep learning techniques such as CNN and LSTM show high performance in handling large and complex data. However, challenges are still found in terms of data imbalances, high computing requirements, and lack of model interpretability. The conclusions of this study show that machine learning techniques are very promising for anomaly detection in cybersecurity, but an adaptive and easy-to-explain approach is needed. Researchers are further advised to develop models that are more efficient, transparent, and able to adapt to evolving cyber threats.
Co-Authors . Melinda Abelia, Dinda Dwi Abidah Ardelia Akbar, Mufid Akbar, Said Jumadil Alim Misbullah Alim Misbullah Arie Budiansyah Aritonang, Romulo P. Asma Liza, Lia Bagestra, Ricky Candra, Rudi Arif Dewi Maya Sari Dewi Maya Sari Dewi Maya Sari Essy Harnelly Farsiah, Laina Fikrul Akhyar Ghufran S., Mufti Miadi Hanifiah, Jessy Husaini Husaini Ilham, Dirja Nur Irvanizam, Irvanizam Junidar Junidar Juwita Juwita Kikye Martiwi Sukiakhy Lestari AKA Lindawati Lindawati Lulu Huril In Marzuki Marzuki Marzuki Marzuki Marzuki Misbullah, Alim Muhammad Arif Ramadhan Muhammad Chaidir Muhammad Farhan Muhammad Iqbal Muhammad Irfan Muhammad Khoiruddin Harahap Muhammad Saifullah Nur Muhammad Subianto Muhd Iqbal Munawir Munawir Muslim Muslim Muzailin, Muzailin N. Nazaruddin Nabilah, Sausan Nahyadi, TWK. Muhammad Akbar Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazhifah, Sri Azizah Nizamuddin Nizamuddin Odli Aulia Radhiah, Radhiah Rahma Zuhra Rahma Zuhra Rasudin Rasudin Rasudin Rasudin Rasudin, Rasudin Razief Perucha Fauzie Afidh Rizki, Pobi Salsabila, Raina Saputra, Devi Satria Saputra, Kurnia Simatupang, Haryulina Siti Rusdiana Souvik Das Sukiakhy Sukiakhy Tarmizi Usman Ula, Akramul Usman, Tarmizi Wira Dharma Yunardi, Dalila Husna Yuwaldi Away Zahnur Zoel Fachri Zul Akhyar