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All Journal Jurnal Ilmiah Matrik Building of Informatics, Technology and Science Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Masyarakat Bangsa Aksi Kita: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Dan Tekonologi Komputer
Wydyanto
Universitas Bina Darma
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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RANCANG BANGUN ALAT DETEKSI KEHADIRAN ORANG Deni Erlansyah; Wydyanto Wydyanto
Jurnal Ilmiah Matrik Vol 18 No 2 (2016): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (539.909 KB) | DOI: 10.33557/jurnalmatrik.v18i2.408

Abstract

Currently criminality condition has been greatly improved. This is due to lack of employment and the high prices of daily necessities that impact on increasing crime rate. Crime is not just happening on the streets, but also in housing. Many homes are visited by people who are not responsible, who then takes the valuables. This situation requires us to be more careful so as reduce the level of crime that occurs in housing projects. The solution is that we can create a tool that can detect the presence of people who do not want. How the tool works based microcontroller are as follows: 1) If there is a presence of people, then the sensor the presence of people going to work, 2) the sensor will send writing (text) to mobile phones via Bluetooth, 3) the sensor will also enable the system alarms.
Edukasi Etika Bermedia Sosial dan Literasi Digital di SDN 5 Desa Purwosari Kecamatan Tanjung Lago Kabupaten Banyuasin Dinny Komalasari; Irwansyah Irwansyah; Wydyanto Wydyanto; Sabeli Aliya
Jurnal Pengabdian Masyarakat Bangsa Vol. 4 No. 3 (2026): Mei
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v4i2.4286

Abstract

Hampir semua siswa sekolah dasar SD Negeri 5 Desa Purwosari Kecamatan Tanjung Lago telah memiliki atau setidaknya sudah menggunakan perangkat digital seperti telepon genggam, tablet maupun komputer, baik untuk keperluan belajar maupun hiburan. Sayangnya penggunaan media sosial dan internet oleh anak – anak sering kali tidak diimbangi dengan pengetahuan yang cukup mengenai etika bermedia sosial, keamanan digital, serta kemampuan memilih informasi yang benar dan bertanggung jawab. Pada kegiatan pengabdian pada masyarakat di SDN 5 Desa Purwosari ini bertujuan untuk memberikan pemahaman dasar kepada siswa mengenai cara berperilaku yang baik di media sosial, bagaimana pentingnya menjaga etika komunikasi, serta meningkatkan kesadaran akan penggunaan media digital secara aman dan positif. Untuk menunjang keberhasilan kegiatan pengabdian pada masyarakat di SDN 5 Desa Purwosari digunakan metode Penelitian Kualitatif dan metode pelaksaan menggunakan Metode Ceramah, Diskusi,  Tanya Jawab, Demonstrasi dan Simulasi, Observasi. Hasil kegiatan pengabdian ini peningkatan pemahaman siswa terhadap pentingnya etika dalam menggunakan media sosial. Siswa mendapat kemampuan dasar literasi digital, dimana siswa memahami dan mengenali konten negatif.
Pelatihan Perancangan Prototipe UI/UX Pengelolaan Data pada Dinas PU PSDA Sumatera Selatan Maria Ulfa; Evi Yulianingsih; Wydyanto Wydyanto; Dinny Komalasari; Dio Ramadani
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 3 (2026): MEI-JUNI
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/vc2yw558

Abstract

Sumatera Selatan masih mengandalkan berkas fisik, lembar kerja, dokumen perkantoran, dan folder komputer yang belum terhubung. Kondisi tersebut mempersulit pencarian, pembaruan, pengendalian versi, pengarsipan, serta penyusunan laporan. Kegiatan pengabdian melalui program magang MBKM ini bertujuan menghasilkan prototipe UI/UX website pengelolaan data yang berpusat pada kebutuhan pengguna. Pelaksanaan berlangsung pada 13 April–19 Juni 2026 dengan pendekatan Design Thinking yang mencakup empathize, define, ideate, prototype, dan testing. Data kebutuhan diperoleh melalui observasi proses kerja, wawancara informal dengan staf, pemetaan peran, serta identifikasi kebutuhan fungsional. Rancangan dikembangkan menggunakan Figma dan ditinjau secara formatif bersama pihak instansi. Kegiatan menghasilkan pemetaan empat peran pengguna, sepuluh kebutuhan fungsional, dan empat belas layar utama yang mencakup login, dashboard, pengelolaan data infrastruktur, peta persebaran aset, arsip dokumen, rekapitulasi, pelaporan, manajemen pengguna, dan profil akun. Peninjauan awal menunjukkan bahwa struktur menu dan alur informasi dapat dipahami oleh staf, meskipun pengujian usability kuantitatif belum dilakukan. Prototipe ini menjadi acuan visual dan fungsional bagi pengembangan sistem terintegrasi serta mendukung penataan data sektoral yang lebih konsisten, mudah ditelusuri, dan sesuai pembagian kewenangan.
Pengabdian Mahasiswa dalam Peningkatan Kesehatan,Kebersihan Lingkungan, Pendidikan, dan UMKM di Desa Banyu Urip Kecamatan Tanjung Lago Kabupaten Banyuasin Wydyanto; Didik Prayogi; Irawan Supriyadi; Egi Satria; Yodi Aswanto; Atari Diance; Dhini Novely Saputri; Khoirul Umam; Nadiv Ahmad; Ega Praditya Tama Putra
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 4 (2025): JULI-AGUSTUS
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/vc2xgx39

Abstract

Program Kuliah Kerja Nyata Tematik (KKNT) Universitas Bina Darma Semester Genap Tahun Akademik 2025/2026 dilaksanakan di Desa Banyu Urip, Kecamatan Tanjung Lago, Kabupaten Banyuasin, sebagai bentuk implementasi Tri Dharma Perguruan Tinggi, khususnya dalam pengabdian kepada masyarakat. Kegiatan ini bertujuan untuk meningkatkan kualitas hidup masyarakat melalui intervensi pada empat sektor utama, yaitu kesehatan, kebersihan lingkungan, pendidikan, dan pengembangan Usaha Mikro Kecil dan Menengah (UMKM). Metode yang digunakan meliputi observasi lapangan, pendekatan partisipatif, pelatihan langsung, serta kolaborasi dengan perangkat desa dan masyarakat. Hasil kegiatan menunjukkan peningkatan partisipasi dalam layanan posyandu, terbentuknya kebiasaan kerja bakti lingkungan, peningkatan kualitas produk UMKM keripik pisang melalui desain kemasan dan pemasaran digital, serta peningkatan semangat belajar siswa di sekolah dasar melalui pendampingan belajar. Kegiatan ini tidak hanya memberikan dampak positif bagi masyarakat desa, tetapi juga menjadi wahana pembelajaran praktis bagi mahasiswa dalam mengasah keterampilan sosial dan profesional. Disarankan agar kegiatan ini mendapat dukungan berkelanjutan dari pemangku kebijakan lokal guna memperkuat dampak jangka panjang.  
Pelatihan Penggunaan Sistem SINONA Bagi Honorer Pemda Ogan Ilir Mutiara Yudita; Maria Ulfa; Evi Yulianingsih; Wydyanto; Fatoni
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 6 (2025): NOVEMBER-DESEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/tqg30024

Abstract

Pelatihan pemanfaatan sistem presensi digital berbasis teknologi informasi menjadi salah satu upaya instansi pemerintah dalam meningkatkan kedisiplinan dan efektivitas kerja pegawai. Bagian Umum Sekretariat Daerah Kabupaten Ogan Ilir telah melaksanakan pelatihan penggunaan Sistem Presensi Online SINONA sebagai sarana pencatatan kehadiran pegawai honorer secara digital. Kegiatan ini bertujuan untuk meningkatkan pemahaman dan keterampilan pegawai dalam menggunakan sistem presensi online serta mengevaluasi tingkat keberhasilan pelatihan menggunakan Model DeLone dan McLean yang meliputi variabel kualitas sistem, kualitas informasi, kualitas layanan, penggunaan sistem, kepuasan pengguna, dan manfaat bersih. Metode yang digunakan adalah pendekatan kuantitatif deskriptif dengan pengumpulan data melalui kuesioner yang disebarkan kepada 25 pegawai peserta pelatihan. Hasil kegiatan menunjukkan bahwa pelatihan Sistem Presensi Online SINONA berjalan dengan baik dan memberikan dampak positif. Peserta pelatihan menilai sistem mudah digunakan, informasi yang dihasilkan akurat, serta memberikan manfaat nyata dalam meningkatkan kedisiplinan dan efektivitas kerja.
Deteksi Motif Batik Dengan Menggunakan CNN ResNet Untuk Mendeteksi Motif Pada Batik Ibnu Al Razaq A; W Wydyanto
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.933

Abstract

Batik is an Indonesian cultural heritage with diverse patterns and deep philosophical meanings. The advancement of artificial intelligence enables automatic recognition of batik motifs, supporting cultural preservation. This study develops a batik motif classification system using the Convolutional Neural Network (CNN) architecture, specifically ResNet18. The dataset consists of 1,427 images from 14 types of batik motifs, including Parang, Priangan, Pring-Sedawung, Kawung, and Megamendung. Preprocessing steps involved resizing images to 128x128 pixels and splitting them into training and testing sets across five scenarios. Experimental results indicate that the fourth scenario (60:40) achieved the best performance with 80% accuracy. These findings demonstrate that ResNet18 is effective for batik motif classification, although further improvements may be achieved with larger datasets and advanced augmentation techniques.
Penerapan Algoritma Logistic Regression Untuk Memprediksi Penyakit Jantung Muhammad Fitra Rhomadon; Wydyanto Wydyanto; A. Haidar Mirza; Nurul Huda
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 3 (2025): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i3.8105

Abstract

Heart disease is one of the leading causes of death worldwide, including in Indonesia. Early detection of heart disease risk is crucial to prevent more severe complications and improve patients' quality of life. This study aims to apply the Logistic Regression algorithm to build a data-driven heart disease prediction model. The dataset used is from Kaggle, with 1,025 patient data and 14 attributes covering risk factors such as age, gender, blood pressure, cholesterol, maximum heart rate, and others. The research process was conducted using the CRISP-DM approach, which includes business understanding, data exploration, preprocessing, modeling, evaluation, and model testing. The preprocessing stage includes data cleaning, encoding categorical variables, standardizing numeric data, and dividing the data into training and test data. The model was developed using the Python programming language and the scikit-learn library, then evaluated using metrics such as accuracy, precision, recall, F1-score, confusion matrix, and ROC-AUC. The evaluation results showed that the Logistic Regression model was able to provide good prediction results, with an accuracy of 0.93, a precision of 0.93, a recall of 0.96, and an F1-score of 0.95. With this performance, this model can be used as a tool for medical personnel in early detection of heart disease risk and supporting more effective and efficient decision-making.
Sistem Pendukung Keputusan Rekomendasi Organisasi Untuk Mahasiswa di Universitas Bina Darma Menggunakan Metode Simple Additive Weighting (SAW) M. Denny Tri Lisandi; M. Soekarno Putra; Syahril Rizal; Wydyanto Wydyanto
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 3 (2025): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i3.8361

Abstract

This research was conducted to develop a web-based Decision Support System (DSS) to provide student organization recommendations at Universitas Bina Darma. The Simple Additive Weighting (SAW) method was used to evaluate compatibility based on students’ interests, talents, and preferences. The K-Nearest Neighbor (KNN) algorithm was applied to classify the SAW score results in order to determine the final recommendation. In line with its domain, the system was developed using an Agile Feature-Driven Development (FDD) approach in a gradual and iterative manner, utilizing the Laravel 12 framework. The research results showed that the system was capable of accurately recommending Student Activity Units (UKM) for first- to fourthsemester students. The recommendation process was carried out by combining the SAW method to obtain the top three UKM and the KNN algorithm for final classification when students chose to participate in only one UKM that best matched their historical answer patterns.
Analisis Website Personalia PT Indofood CBP Sukses Makmur Tbk Palembang Dengan Metode Webqual 4.0 Yoga Eka Putra; W Wydyanto
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 11, No 2 (2026): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v11i2.1000

Abstract

PT. Indofood CBP Sukses Makmur Tbk. Is a company operating in the food and beverage processing sector which was founded in 1971. This company has declared a commitment to produce quality, safe and halal food products for consumption. Aspects of freshness, hygiene, nutritional content, taste, practicality, safety and halal for consumption are always a priority for this company to ensure product quality is always excellent. The method used in this research is a quantitative method. Quantitative research is a research method based on the philosophy of positivism which is used to research populations in certain samples, The data collection process in this research was by distributing questionnaires via Google from indirectly by providing a link via WhatsApp to HRD PT Indofood CBP Sukses Makmur Tbk Palembang. Based on the results of the questionnaire that was distributed and filled in by employees, the average percentage for the information quality variable was 90.93%, which means that they strongly agree according to the Likert scale used. This shows that the website used by PT Indofood Palembang is in accordance with the quality of information on webqual 4.0.
Implementasi Algoritma BERTopic Berbasis IndoBERT untuk Pemodelan dan Analisis Trending Topik Berita Online pada Dashboard Website M. Wirayuda; Ari Muzakir; Wydyanto Wydyanto; Andri Andri
Building of Informatics, Technology and Science (BITS) Vol 8 No 2 (2026): September 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v8i2.10951

Abstract

The growing volume of online news makes it difficult for the Sumatera Ekspres editorial team to manually track popular topics in a timely manner. This study implements the BERTopic algorithm based on IndoBERT to automatically model trending topics of online news, following the CRISP-DM stages of business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Data were collected through web scraping from eight national news portals and YouTube, then processed through case folding, cleaning, tokenization, and stopword removal before being modeled using IndoBERT as the embedding, UMAP for dimensionality reduction, HDBSCAN for clustering, and c-TF-IDF for keyword extraction, complemented by a trend_score metric to identify topics that are genuinely gaining momentum. The main contribution of this study lies in integrating more heterogeneous multi-source data than prior work and introducing the trend_score metric as a more accurate indicator of momentum, realized as a ready-to-use dashboard for the editorial team. Testing across four data periods (1, 7, 14, and 30 days) shows that the model consistently produces topics of good coherence and diversity quality. The results were implemented into a website-based dashboard built with FastAPI and SQLite that presents trending topic visualizations, word cloud, and news headline recommendations, which has been tested and confirmed to function as required, making it suitable as a decision-support tool for the editorial team to monitor popular issues quickly, efficiently, and in a data-driven manner.
Co-Authors A. Haidar Mirza Andri Andri Ari Muzakir Atari Diance Deni Erlansyah Dhini Novely Saputri Didik Prayogi DINNY KOMALASARI Dinny Komalasari Dio Ramadani Ega Praditya Tama Putra Egi Satria Evi Yulianingsih Fatoni Ibnu Al Razaq A Irawan Supriyadi Irwansyah Irwansyah Khoirul Umam M. Denny Tri Lisandi M. Soekarno Putra M. Wirayuda Maria Ulfa Maria Ulfa Muhammad Fitra Rhomadon Mutiara Yudita Nadiv Ahmad Nurul Huda Sabeli Aliya Syahril Rizal Yodi Aswanto Yoga Eka Putra