Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
P-Index
This Author published in this journals
All Journal Desimal: Jurnal Matematika Applied Information System and Management BERDAYA: Jurnal Pendidikan dan Pengabdian Kepada Masyarakat RENATA Jurnal Pengabdian Masyarakat Kita Semua
Wisnubroto, M. Syamsuddin
Unknown Affiliation
Humanities Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Pelatihan Algoritma Machine Learning dalam Robotik di MAN 1 Bandar Lampung Badri, Rizty Maulida; Mika Alvionita; Ramdani, Ahmad Luky; Ira Safitri; Irawati, Febri Dwi; Wisnubroto, M. Syamsuddin; Nasywa, Halilah Roja
RENATA: Jurnal Pengabdian Masyarakat Kita Semua Vol. 3 No. 1 (2025): Renata - April 2025
Publisher : PT Berkah Tematik Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61124/1.renata.135

Abstract

Program Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk mengenalkan algoritma pembelajaran mesin dalam robotika kepada siswa MAN 1 Bandar Lampung melalui pelatihan intensif. Kegiatan ini diikuti oleh 10 siswa anggota ekstrakurikuler Cyber yang sebelumnya fokus pada pemrograman robotika manual tanpa pembelajaran mesin. Metode pelaksanaan meliputi observasi langsung selama pelatihan, wawancara semi-terstruktur dengan peserta, serta dokumentasi berupa foto, video, dan catatan proyek yang dihasilkan. Observasi dilakukan untuk memahami dinamika proses belajar, interaksi antar peserta, dan penerapan konsep robotika dalam praktik. Wawancara difokuskan pada motivasi peserta, pengalaman belajar, tantangan yang dihadapi, serta dampak pelatihan terhadap minat dan keterampilan mereka. Data kuantitatif dikumpulkan melalui tes pemahaman sebelum dan setelah pelatihan, menunjukkan bahwa 75% peserta mengalami peningkatan signifikan dalam pemahaman konsep dasar pembelajaran mesin dalam robotika, dengan 50% di antaranya mencapai tingkat pemahaman tinggi (skor di atas 80). Materi pelatihan mencakup jenis dan fungsi robot, perkembangan teknologi robot, serta prospek masa depan robotika. Kegiatan ini disambut antusias oleh siswa dan guru, meningkatkan minat mereka terhadap teknologi dan membuka peluang eksplorasi lebih lanjut di bidang rekayasa robotika. Data dianalisis secara tematik menggunakan teknik coding, dengan validitas diperkuat melalui triangulasi sumber dan metode serta pengecekan ulang oleh partisipan (member checking). Aspek etika dijaga dengan memastikan kerahasiaan identitas peserta dan memperoleh persetujuan tertulis sebelum pengumpulan data. Hasil kegiatan ini diharapkan menjadi fondasi bagi pengembangan program robotika yang lebih advanced di MAN 1 Bandar Lampung
The Implementation of Regularized Markov Clustering with Pigeon Inspired Optimization Algorithm in Analyzing the SARS-CoV-2 (COVID-19) Protein Interaction Network Wisnubroto, M. Syamsuddin; Siburian, Marsudi; Irawati, Febri Dwi
Desimal: Jurnal Matematika Vol. 3 No. 3 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v3i3.6822

Abstract

Proteins interact with other proteins, DNA, and other molecules, forming large-scale protein interaction networks and for easy analysis, clustering methods are needed. Regularized Markov clustering algorithm is an improvement of MCL where operations on expansion are replaced by new operations that update the flow distributions of each node. But to reduce the weaknesses of the RMCL optimization, Pigeon Inspired Optimization Algorithm (PIO) is used to replace the inflation parameters. The simulation results of IPC SARS-Cov-2 (COVID-19) inflation parameters  get the result of 42 proteins as the center of the cluster and 8 protein pairs interacting with each other. Proteins of COVID-19 that interact with 20 or more proteins are ORF8, NSP13, NSP7, M, N, ORF9C, NSP8, and NSP1. Their interactions might be used as a target for drug research.
Redesigning UI/UX of A Mobile Application Using Task Centered System Design Approach Praseptiawan, Mugi; Untoro, Meida Cahyo; Fahrianto, Feri; Prabandari, Pungki Resti; Wisnubroto, M. Syamsuddin
Applied Information System and Management (AISM) Vol. 6 No. 1 (2023): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v6i1.24665

Abstract

Digital transformation requires a software system development method to identify and analyze user needs. In this research, software system development uses the Task Centered System Design framework with several stages, including identification, needs analysis, design, and evaluation. The identification stage is carried out by conducting interviews with stakeholders, and then the results of the interviews are analyzed and approved by stakeholders. This study aims to obtain user needs to build an application interface by applying the steps of the Task Centered System Design method and usability evaluation and calculating the weight of the feasibility value by testing the Heuristics method and System Usability Scale on the solution application design. The evaluation phase aims to determine the value of the usability problem in the design that has been designed. The evaluation phase uses the Usability Heuristic method by involving experts in the field of software development and the System Usability Scale method involving end users. After conducting research from the identification to the evaluation stage, the average severity rating of the Heuristic Usability test component scored less than 1 (one) in the second iteration, and the System Usability Scale results scored 70.3 for admin and 73.75 for the customer application. This result is in grade C with an adjective rating of Good.  
Workshop Pembuatan Sistem Monitoring Jaringan Sederhana Menggunakan Python bagi Siswa SMKN 4 Bandar Lampung Wisnubroto, M. Syamsuddin; Yuliana, Yuliana; Rassiyanti, Linda; Lailani, Ade; Farid, Fajri; Nadeak, Christyan Tamaro; Nurjanah, Fitri; Suciati, Indah; Kurnia, Rian; Lestari, Yusni Puspha; Setiawan, Dewi Indra
BERDAYA: Jurnal Pendidikan dan Pengabdian Kepada Masyarakat Vol 8 No 2 (2026)
Publisher : LPMP Imperium

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36407/berdaya.v8i2.1810

Abstract

This community service program was conducted to strengthen vocational students' competencies in network monitoring using Python. The partner school's main challenge was that networking lessons were still centered on hardware-oriented tools such as Mikrotik and Cisco, while software-based monitoring skills had not been introduced systematically. The program took the form of a workshop at SMKN 4 Bandar Lampung on 24 September 2025 and combined short lectures, demonstrations, guided practice, and mini projects. The training module covered basic networking concepts, connectivity and server status, bandwidth and latency, Python fundamentals, and the use of requests, psutil, socket, subprocess, and pandas to build a simple network monitoring system. Evaluation was conducted descriptively using pre-tests, post-tests, and practical assessment. The results showed that the mean pre-test accuracy of 46% from 32 participants increased to 64% in the post-test completed, representing an 18 percentage-point gain. All students also completed the assigned Python-based monitoring practice successfully. The outputs included a training module, poster, short video, and press release to support sustainability and dissemination.
Co-Authors Christyan Tamaro Nadeak Farid, Fajri Irawati, Febri Dwi Lailani, Ade Lestari, Yusni Puspha Mika Alvionita Nasywa, Halilah Roja Nurjanah, Fitri Prabandari, Pungki Resti Praseptiawan, Mugi Ramdani, Ahmad Luky Rassiyanti, Linda Rian Kurnia, Rian Rizty Maulida Badri RR. Ella Evrita Hestiandari Setiawan, Dewi Indra Siburian, Marsudi Suciati, Indah Untoro, Meida Cahyo Yuliana Yuliana