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All Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Al-Maun
Muntahanah
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Religion Arts Computer Science & IT Control & Systems Engineering Education Social Sciences

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Simulasi Pengaruh Bahaya Gadget Terhadap Anak SDN 48 Kota Bengkulu safitri, melinia; Marga Handayani, Kurnia; Arisandi, Vini; Darnita, Yulia; Muntahanah; Toyib, Rozali
Almaun: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2024): Juni Vol. 3 No. 1 (2024)
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/almaun.v3i1.6273

Abstract

This research aims to simulate and analyze the impact of gadget dangers on children at SDN 48 Kota Bengkulu, utilizing a method that involves the socialization of gadget danger awareness through videos and PowerPoint presentations. With the phenomenon of children being increasingly influenced by excessive gadget use, this study focuses on potential health and behavioral effects such as fatigue, sleep disturbances, blurred vision, dizziness, and the use of inappropriate language. Additionally, this article discusses proposed solutions to mitigate these risks, specifically through the introduction of gadget dangers to the health and development of children. Keywords: Gadget dangers, children, health, child development, socialization
DIVERSIFIKASI BUAH LABU KUNING MENJADI SELAI LABU KUNING (SELAKU) DIKELURAHAN MALABRO, KOTA BENGKULU Darmi, Yulia; Muntahanah; Sri Ekowati; Yusa Virginiawan Guntara; Andre Merfriansyah; Fahrizal Akbar
Almaun: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2025): JUNI (2025)
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/almaun.v5i2.7871

Abstract

Selai labu kuning adalah produk olahan pangan yang dibuat dari buah labu kuning (Cucurbita moschata) melalui proses pemasakan dan pencampuran dengan bahan tambahan seperti gula, air, dan bahan pengental. Selai ini memiliki rasa yang khas, yaitu manis dengan aroma dan warna alami dari labu kuning, serta tekstur yang lembut dan kental. Pengembangan selai labu kuning bertujuan untuk meningkatkan nilai tambah produk labu kuning yang melimpah di Indonesia, sekaligus menyediakan pilihan pangan sehat yang kaya akan vitamin A, serat, dan antioksidan. Proses pembuatan selai melibatkan pemanasan pada suhu tertentu untuk mengurangi kadar air dan mencapai konsistensi yang diinginkan, serta memastikan keamanan pangan. Penelitian dan eksperimen dalam pembuatan selai labu kuning melibatkan analisis komposisi, tekstur, dan penerimaan konsumen terhadap produk ini. Hasil penelitian menunjukkan bahwa selai labu kuning memiliki potensi untuk dikembangkan sebagai produk komersial yang sehat dan menarik bagi konsumen, serta mendukung diversifikasi produk olahan labu di pasar lokal dan internasional.
CLASSIFICATION OF TRAFFIC TICKET CASES AT THE PAGAR ALAM DISTRICT ATTORNEY'S OFFICE USING THE C4.5 ALGORITHM Muntahanah; Azhari, Sabella
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 13 No 2 (2025): TEKNOIF OKTOBER 2025
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2025.V13.2.57-65

Abstract

The increasing number of traffic violations in Pagar Alam City has led to a yearly rise in ticketing case data at the Pagar Alam District Attorney’s Office. This accumulation of data creates difficulties in effective data management and hinders the extraction of meaningful insights. The current classification process for ticketing cases remains limited in its accuracy and efficiency, making it difficult to identify patterns or trends. This study aims to address this issue by developing a classification model for traffic ticket cases using data mining techniques, specifically the C4.5 algorithm. The model classifies cases based on attributes such as the relevant article of law, type of vehicle, evidence submitted, and the fine imposed. The CRISP-DM framework is used to guide the process through six phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. RapidMiner is used as the primary tool for data processing, and the model is evaluated using the X-Cross Validation technique. The results show that the C4.5 algorithm achieves a high classification accuracy of 99.75%. The “Article” attribute emerged as the most influential factor with the highest gain ratio value. These findings can support law enforcement and policymakers in identifying the most frequent violations and developing more targeted strategies to improve traffic law enforcement and public safety.
Analisis Performa, Overload dan Kerentanan Pada Website Basarnas Bengkulu Untuk Optimalisasi Kinerja Cheka, Julyane Kevin; Toyib, Rozali; Wijaya, Ardi; Muntahanah
Jurnal PROCESSOR Vol 20 No 2 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.2.2507

Abstract

The Bengkulu Basarnas website plays a crucial role in providing information related to search and rescue activities to the public. However, with the increasing number of visitors and the need for fast and accurate information, the site faces several challenges related to performance, overload, and vulnerabilities such as slow page load times, a website that tends to be unresponsive, and indications of defacement, which are certainly detrimental. Therefore, research was conducted with the aim of analyzing and providing recommendations for optimizing website performance. Implementing the Software Testing Life Cycle (STLC) method, a method used for software testing, and assisted by tools such as PageSpeed Insights, Apache Jmeter, and Acunetix, enabled the research to be conducted comprehensively and efficiently. The results obtained an average performance score of 81.87, which is included in the good range but still needs improvement. On overload, the research results were obtained, namely scenario 1 with 5 users (105 samples) there was 0.00% error, scenario 2 with 15 users (315 samples) there was 0.32% error, and scenario 3 with 45 users (945 samples) there was 1.90% which overall shows that website performance is still quite good at low loads but decreases at high loads. And on vulnerabilities, the research results were in the Low severity vulnerabilities category, which means there are minor vulnerabilities and are still relatively safe but still need to be followed up for prevention efforts. Based on these findings, it is recommended to pay attention to server infrastructure, optimize content or images, and improve and pay attention to system security in order to minimize vulnerabilities to prevent threats and attacks that can disrupt website performance.
Co-Authors Andre Merfriansyah Arisandi, Vini Azhari, Sabella Cheka, Julyane Kevin Darnita, Yulia Fahrizal Akbar Marga Handayani, Kurnia safitri, melinia Sri Ekowati Toyib, Rozali Wijaya, Ardi Yulia Darmi Yusa Virginiawan Guntara