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All Journal Scientific Journal of Informatics EMITTER International Journal of Engineering Technology JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Ilmu Komputer dan Desain Komunikasi Visual Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Green Intelligent Systems and Applications Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Nusantara Community Empowerment Review Submit : Jurnal Ilmiah Teknologi Informasi dan Sains Nusantara Computer and Design Review
Neny Kurniati
Universitas Nahdlatul Ulama Sidoarjo
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences

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Studi Quality of Service (QoS) Jaringan Internet Berbasis Wireshark di Lingkungan Ruang Terbuka Publik Ardiansyah, Fitto; Alamin, Mochammad Machlul; Muchibbin, Moch Rafli; Farros, M Faizal Zhafran; Hidayat, Rakmat; M, Baqik Al Zalzala; Kurniati, Neny
Nusantara Computer and Design Review Vol. 3 No. 2 (2025): Nusantara Computer and Design Review
Publisher : LPPM UNUSIDA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/tewbgs61

Abstract

Tujuan dari penelitian ini adalah untuk mengevaluasi kualitas layanan (QoS) jaringan internet di Alun-Alun Sidoarjo dengan menggunakan wireshark. Internet publik semakin dibutuhkan untuk berbagai keperluan, seperti komunikasi, hiburan, dan pekerjaan. Namun, kualitas jaringan di area publik seperti Alun-Alun Sidoarjo masih sering mengalami masalah, seperti koneksi lambat, keterlambatan pengiriman data (latensi), perubahan waktu pengiriman yang tidak stabil (jitter), dan kehilangan data (packet loss). Pada penelitian ini, dilakukan pengukuran langsung terhadap beberapa parameter utama, yaitu throughput, latensi, jitter, dan packet loss pada tiga waktu yang berbeda yakni pagi, siang, dan sore. Hasil analisis menunjukkan bahwa koneksi internet pada siang hari memiliki kecepatan transfer data (throughput) tertinggi sebesar 72 kbps dengan latensi paling rendah (22,8 ms). Sementara itu, pada pagi hari ditemukan jitter negatif (-0,599 ms), yang bisa memengaruhi layanan yang membutuhkan koneksi stabil secara real-time. Pada sore hari, tingkat kehilangan data (packet loss) paling rendah sebesar 0,109%, menunjukkan jaringan yang lebih stabil dibandingkan waktu lainnya. Berdasarkan hasil penelitian ini, kualitas layanan internet di Alun-Alun Sidoarjo masih tergolong cukup baik menurut standar TIPHON, meskipun ada perubahan kualitas pada waktu-waktu tertentu. Oleh karena itu, diperlukan peningkatan infrastruktur jaringan agar koneksi lebih stabil, terutama dalam mengatasi jitter negatif dan menjaga kestabilan kecepatan transfer data di semua waktu. The purpose of this study is to evaluate the quality of service (QoS) of the internet network in Sidoarjo's town square using Wireshark. Public internet is increasingly needed for various purposes, such as communication, entertainment, and work. However, network quality in public areas such as Sidoarjo's town square still often experiences problems, such as slow connections, delayed data transmission (latency), unstable transmission time changes (jitter), and data loss (packet loss). In this study, direct measurements were made of several key parameters, namely throughput, latency, jitter, and packet loss at three different times: morning, afternoon, and evening. The analysis results show that the internet connection during the day has the highest data transfer rate (throughput) of 72 kbps with the lowest latency (22.8 ms). Meanwhile, in the morning, negative jitter was found (-0.599 ms), which can affect services that require a stable connection in real-time. In the afternoon, the data loss rate (packet loss) was lowest at 0.109%, indicating a more stable network compared to other times. Based on the results of this study, the quality of internet service in Sidoarjo's town square is still considered quite good according to TIPHON standards, although there are occasional changes in quality. Therefore, network infrastructure improvements are needed to ensure more stable connections, particularly in addressing negative jitters and always maintaining stable data transfer speeds.
Remo Dance Motion Estimation with Markerless Motion Capture Using The Optical Flow Method Kurniati, Neny; Basuki, Achmad; Pramadihanto, Dadet
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.33

Abstract

Motion capture has been developed and applied in various fields, one of them is dancing. Remo dance is a dance from East Java that tells the struggle of a prince who fought on the battlefield. Remo dancer does not use body-tight costume. He wears a few costume pieces and accessories, so required a motion detection method that can detect limb motion which does not damage the beauty of the costumes and does not interfere motion of the dancer. The method is Markerless Motion Capture. Limbs motions are partial behavior. This means that all limbs do not move simultaneously, but alternately. It required motion tracking to detect parts of the body moving and where the direction of motion. Optical flow is a method that is suitable for the above conditions. Moving body parts will be detected by the bounding box. A bounding box differential value between frames can determine the direction of the motion and how far the object is moving. The optical flow method is simple and does not require a monochrome background. This method does not use complex feature extraction process so it can be applied to real-time motion capture. Performance of motion detection with optical flow method is determined by the value of the ratio between the area of the blob and the area of the bounding box. Estimate coordinates are not necessarily like original coordinates, but if the chart of estimate motion similar to the chart of the original motion, it means motion estimation it can be said to have the same motion with the original.Keywords: Motion Capture, Markerless, Remo Dance, Optical Flow
Pelatihan Pengolahan dan Penyajian Data Statistik untuk Meningkatkan Kompetensi Mahasiswa Baru Informatika UNUSIDA Mochammad Machlul Alamin; Arda Surya Editya; Anggay Luri Pramana; Neny Kurniati; Ahmad Khoir Alhaq; Nur Syaifuddin
Nusantara Community Empowerment Review Vol. 4 No. 2 (2026): Nusantara Community Empowerment Review
Publisher : LPPM UNUSIDA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/1h7h8n83

Abstract

Perkembangan teknologi informasi menuntut mahasiswa memiliki kompetensi dasar dalam pengolahan dan penyajian data statistik. Namun, kemampuan awal mahasiswa baru Program Studi Informatika Universitas Nahdlatul Ulama Sidoarjo (UNUSIDA) dalam bidang tersebut masih relatif rendah. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan kompetensi mahasiswa melalui pelatihan pengolahan dan penyajian data statistik berbasis aplikasi spreadsheet. Kebaruan kegiatan ini terletak pada pemanfaatan spreadsheet sebagai media pembelajaran untuk memperkuat kompetensi dasar pengolahan data bagi mahasiswa baru. Pelatihan diikuti oleh 48 peserta melalui metode ceramah, demonstrasi, praktik langsung, dan pendampingan. Evaluasi dilakukan menggunakan pretest, posttest, tugas praktik, dan kuesioner kepuasan, sedangkan data dianalisis secara deskriptif. Hasil evaluasi menunjukkan bahwa nilai rata-rata peserta meningkat dari 56,2 pada pretest menjadi 85,7 pada posttest atau mengalami peningkatan sebesar 29,5 poin. Selain itu, 62,5% peserta menyatakan sangat puas, 31,3% puas, dan 6,2% cukup puas terhadap pelaksanaan pelatihan. Hasil tersebut menunjukkan bahwa pelatihan berbasis spreadsheet efektif meningkatkan kompetensi peserta dalam pengolahan dan penyajian data statistik serta memperoleh respons positif. Meskipun demikian, evaluasi masih terbatas pada hasil belajar jangka pendek sehingga diperlukan penelitian lanjutan untuk mengkaji keberlanjutan kompetensi peserta. The increasing demand for data-driven decision-making requires university students to possess fundamental competencies in statistical data processing and presentation. However, the initial competency of first-year students in the Informatics Study Program at Universitas Nahdlatul Ulama Sidoarjo (UNUSIDA) remained relatively low. This community service program aims to improve students’ statistical data processing and presentation skills through spreadsheet-based training. The novelty of this program lies in introducing spreadsheet applications as an accessible learning tool to strengthen fundamental data processing competencies among first-year students. The training involved 48 participants and employed lectures, demonstrations, hands-on practice, and mentoring sessions. Participants' competencies were evaluated using pre-tests, post-tests, practical assignments, and satisfaction questionnaires, while the data were analyzed descriptively. The average score increased from 56.2 in the pre-test to 85.7 in the post-test, indicating an improvement of 29.5 points. In addition, 62.5% of participants were very satisfied, 31.3% were satisfied, and 6.2% were moderately satisfied with the training. These findings demonstrate that spreadsheet-based training effectively enhanced participants’ competencies and received positive responses. However, the evaluation was limited to short-term learning outcomes, suggesting the need for further studies to examine the long-term sustainability of the acquired competencies.
Co-Authors Achmad Basuki Ahmad Khoir Alhaq Angga Lisdiyanto Anggay Luri Pramana Anggay Luri Pramana Arda Surya Editya Ardiansyah, Fitto Athika Dwi Wiji Utami Dadet Pramadihanto Farros, M Faizal Zhafran Hidayat, Rakmat M, Baqik Al Zalzala Mochammad Machlul Alamin Muchibbin, Moch Rafli Nur Syaifuddin Orizky, Moch. Fahrul Pangarso, Aditya Wisnu Pramana, Anggay Lury Rofiq, M. Ainun Syahri Mu’min Widanarko, Bayu