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Information System for Managing Village-Owned Enterprises (BUMDes) in Bogoharjo Village with DevOps Method Buchori, Achmad; Muthoharoh, Nurul Afifah; Wijayanto
Scientific Journal of Informatics Vol. 11 No. 3: August 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i3.6627

Abstract

Purpose: The purpose of this research is to build a Bogoharjo Village-Owned Enterprises (BUMDes) Business Unit Management Information System to facilitate BUMDes managers in managing business units and providing available services to the community online. Methods: The method used in this research is the DevOps method with the stages of plan, code, build, test, release, deploy, operate, and monitor. System design uses UML (Unifed Modeling Language), namely flowchart, use case diagram, activity diagram, class diagram, and sequence diagram. System development using the Laravel framework. Results: The results showed that expert validation with an average percentage by content expert validation of 89% and media expert validation of 84% so that the BUMDes Management Information System (Village-Owned Enterprises) in Bogoharjo Village with the DevOps Method was very feasible to use. While the results of the practicality trial using 25 respondents produced an average percentage of 89% with a very practical category. Thus, the BUMDes Management Information System (Village-Owned Enterprises) in Bogoharjo Village with the DevOps Method is very practical to use. Novelty: The novelty of this research is used to assist BUMDes managers in managing data or providing information related to the BUMDes itself. In addition, BUMDes management becomes more organized and structured so that services to the community become more effective and well managed.
Success Team Strategy to Win Dewi Handayani in the 2018 Tanggamus Regent Election Dilla Annisa; Wijayanto
Journal of Law, Politic and Humanities Vol. 5 No. 3 (2025): (JLPH) Journal of Law, Politic and Humanities
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jlph.v5i3.1377

Abstract

This study aims to analyze the strategy of Dewi Handajani's success team in winning the 2018 Tanggamus Regent Election. The research used a descriptive qualitative method through a field approach, with primary data in the form of interviews and secondary data from related documents. Informants were selected purposively to obtain in-depth information. Data were collected through free guided interviews and documentation, then analyzed using data reduction, presentation and verification techniques with triangulation to ensure validity. The results showed that Dewi Handajani's winning strategy refers to the concept of 4P political marketing, namely product, promotion, place, and price. The product strategy includes the introduction of the candidate's vision and mission through various media and props, such as stickers and billboards. The promotion strategy is carried out through social media, print, and direct door-to-door approach by the core team and volunteers. The place strategy utilizes the support base in 18 out of 20 sub-districts. The price aspect included economic spending, while the psychological price was not emphasized because Dewi Handajani is not a regional daughter. This strategy was effective, as evidenced by the 55.97% vote victory. The implications of this research show the importance of a combination of comprehensive political marketing strategies in building trust and electability of candidates amidst the challenges of local politics, as well as the relevance of a personal approach in increasing campaign effectiveness.
Analysis of Wireless Network Quality at Muhammadiyah Vocational School Rembang Using QOS (Quality of Service) Parameters Saputra, Crisna Dwiki; Wijayanto; Ade Ricky Rozaqqi
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 03 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i03.1613

Abstract

This study aims to analyze the quality of the wireless network at SMK Muhammadiyah Rembang using the Quality of Service (QoS) parameters, which include throughput, delay, jitter, and packet loss. Data collection was carried out through direct measurement using the Wireshark application on the wireless network in the laboratory room. The collected data were then analyzed based on the TIPHON standard to determine the network quality level. The results of the study during both learning activities and break time indicate that the average throughput falls into the good category, delay is in the excellent category, jitter is in the good category, and packet loss is within the recommended limits. Overall, the wireless network quality at SMK Muhammadiyah Rembang is adequate to support information technology–based learning activities.
Performance Evaluation of Automated and Manual Seismic Phase Picking for Rapid Earthquake Parameter Determination in the Indonesian BMKG Network Hielmy, Rayhan Irfan; Pranata, Bayu; Wijayanto; Daryono
Jurnal Meteorologi dan Geofisika Vol. 26 No. 2 (2025)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v26i2.1189

Abstract

Indonesia is situated at the intersection of three major tectonic plates, resulting in high seismic activity and significant earthquake vulnerability.1 Rapidly determining initial earthquake parameters—including origin time, epicenter location, depth, and magnitude—is critical for effective early warning systems. This study evaluates the reliability of automated versus fast manual picking (<3 minutes, S-wave-based) by comparing their performance against final validated results. Utilizing data from the BMKG SeisComP system for the period of May 18, 2024, to May 17, 2025, the study analyzed 2,790 seismic events across Indonesia, including low-seismicity regions such as Kalimantan. Performance was assessed across six key parameters (depth, origin time, RMS, azimuth gap, magnitude, and epicenter) using a numerical scoring system (0–100) based on deviation from validated data. The results indicate that while automated picking processed a significantly higher volume of events (1,857 events; 66.6%) compared to manual picking (327 events; 11.7%) within the target timeframe, manual picking achieved a superior 'good' quality rating (score 75–100) at 96.9%, compared to 88.5% for automated methods. Nevertheless, automated picking remains the preferred method for rapid dissemination (<3 minutes) due to its operational speed. Furthermore, the study establishes regional thresholds for the minimum seismic phases required for reliable automated picking, ranging from 8 to 16 phases depending on the region, with a national average of 15 phases.