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Current technological advancements make it easier for users to do their work effectively and efficiently, including the use of wireless networks to exchange data via File Transfer Protocol (FTP) and video conferencing services (VCS). A Mobile AdHoc Network (MANET) is a wireless network technology that applies a dynamic set of nodes. Data transmission on the MANET does not require the use of devices such as base stations. Because each node on the MANET can act as a router in determining the direction of the data sent, the number of nodes in the MANET will influence the quality of the data sent. Using the OPNET Modeler simulator, this paper shows how to assess the quality of FTP and VCS based on delay, jitter, and packet loss parameters. The simulation scenario employs five, fifteen, and thirty nodes with low, medium, and high traffic loads, using the Dynamic Source Routing (DSR) protocol. According to the measurement results, the FTP service with the bad category is the packet loss parameter in high traffic loads, which has the highest packet loss value of 56.6 percent with 15 nodes. In contrast, “good" results for VCS are only produced on the delay parameter. The jitter increases with the number of nodes, and it is 5 in this case. In all scenarios, the packet loss parameter yields poor results, with the highest packet loss value approaching 100%.

Pemberdayaan masyarakat bidang kesehatan merupakan salah satu bentuk mewujudkan masyarakat sehat dengan mengoptimalkan potensi masyarakat untuk terlibat secara aktif. Prakarsa masyarakat mencapai tujuan pembangunan kesehatan perlu didorong guna mewujudkan tatanan hidup masyarakat melalui paradigma “Desa Sehat” dengan harapan berimplikasi langsung bagi peningkatan kesehatan masyarakat. Guna mewujudkan cita-cita tersebut di Desa Tutul Kecamatan Balung telah dibangun pola Desa Sehat yang didasari kemandirian keluarga dalam mengevaluasi kesehatan keluarga secara mandiri. Hal ini dioptimalkan dengan peran Tim Pelaksana Tugas (SATGAS) sebagai koordinator manajemen Desa Sehat berbasis Independent Family Health Evaluation (IFHE). Pemberian informasi kesehatan merupakan salah satu upaya meningkatkan kompetensi Tim SATGAS Desa Sehat berbasis IFHE serta masyarakatnya. Menggunakan sampel 47 responden yang terdiri dari Tim Satgas, perwakilan RW dan perwakilan Posyandu, dengan Pra Experiment Pre-Post Test Design dan analisa data Paired T-Test (α = 0,05). Hasil penelitian menunjukkan informasi kesehatan meliputi kesehatan komunitas pendukung desa sehat (p value 0,01), optimalisasi gizi dalam pencegahan stunting (p value 0,02), mengenal penyakit gangguan kardiovaskuler (p value 0,01 ), kehamilan risiko tinggi dan pencegahan kematian periode perinatal (p value 0,04 ). Berdasarkan hal tersebut dapat dikatakan bahwa pemberian informasi kesehatan efektif dalam meningkatkan kompetensi pengetahuan Tim SATGAS Desa Sehat Berbasis IFHE serta masyarakat Desa Tutul.

The research is focused for the purpose of analyzing the performance of which web server is able to receive more requests with a short connection time to support the performance of the integration application and can simulate the user with the jmeter application to test the web server. The performance test process is carried out using the benchmark test method using the Jmeter application by adjusting the input scenario and then analyzing the results based on the TIPHON standard. The results obtained from several variations of test parameters are known that the server's ability to send responses with the largest bytes is the apache web server, while the lowest error rate is nginx, while in terms of server network infrastructure, the apache web server is better because it can send a faster response. good and stable compared to nginx.Based on the test results above, it can be concluded that the apache web server has more effective results in web service performance against multi-database

The live forensics method was used to acquire lawful digital evidence data from device memory in the WhatsApp application, particularly for desktop-based WhatsApp. There has been little research on live forensics on desktop-based WhatsApp applications. These studies involve mimicking crime cases in cyberspace using the Instant Messenger application. Much of the acquisition process is completed only once, even though many possible conditions may arise during the purchase process. Investigators or experts can employ digital evidence data discovery to identify crimes that have occurred. The stages of research in detecting digital evidence are data collecting, the examination process, and the acquisition of analysis and reporting outcomes. During the data-gathering phase, a case simulation dataset was obtained. The examination process stage results in the integrity of the duplicated data; data reduction is performed on data related to fundamental operating system components, influential application features, and incomplete data. According to the investigation findings, there are difficulties in looking for digital evidence, and the features of each digital evidence vary. The simulation file contained many reports on the finds of digital evidence. As a data acquisition method, the characteristics of live forensics are limited to the data retrieval process in RAM. Based on these findings, it is possible to conclude that the data collection and examination processing were completed effectively. The analysis results were acquired, and the report was presented with the indicated digital evidence. Further study can be paired with chip-off procedures on RAM devices for data recovery.

Penelitian ini berisi tentang analisis sentimen masyarakat Indonesia pada Twitter terhadap kebijakan pemerintah dalam menangani kasus pandemi covid-19. Penelitian ini menggunakan metode Bernoulli Naive Bayes dalam melakukan pemodelan dan pengujian klasifikasi terhadap data sentimen. Digunakan juga metode pengukuran performa akurasi, presisi dan recall untuk mengukur performa metode Bernoulli Naive Bayes. Pada pembagian dan skenario pengujian digunakan teknik K Fold Cross Validation dengan nilai k = 2, 4, 5, 8 dan 10. ketidakseimbangan data dalam penelitian ini diselesaikan dengan menggunakan teknik Synthetic Minority Oversampling Technique (SMOTE). Dari hasil pengujian dengan model tanpa menggunakan teknik Synthetic Minority Oversampling Technique (SMOTE) diperoleh hasil dengan tingkat akurasi sebesar 80.58%, tingkat presisi sebesar 80.33% dan tingkat recall sebesar 85.57%. sedangkan hasil pengujian dengan menggunakan teknik Synthetic Minority Oversampling Technique (SMOTE) pada pemodelan, diperoleh tingkat akurasi 80.20%, tingkat presisi 78.04% dan tingkat recall 86.77%.

Information technology's hardware and software are constantly evolving. The rise in cybercrime cases is consistent with this trend. While operating systems can be hacked, personal data can be stolen and encrypted, making it impossible for users to access the information. Cybercriminals are using social media data to target personal information currently. Users' usernames, passwords, and other personal information can be stored in a device's memory, as well as browser cookies. Pre-analysis, analysis, and post-analysis are the three stages of the research process. "Live Memory Acquisition" is the proper method for obtaining data from a device's memory. There is digital evidence in the form of an email address, a password, Facebook, and PayPal accounts as well as a link URL discovered in the analysis of the results of the acquisition of artifact one. The results of the artifact 2 acquisition did not reveal any passwords. There was no evidence of email or Facebook passwords in the analysis of artifact 3 acquisition results, but the overall data test results showed that the total number of test results on artifact 1 was 100%, 57.14% on artifact 2, and 71.42% on artifact 3.

One very rapid change in computer networks is the use of Wireless Local Area Network (WLAN) to access systems both locally and the internet. One way to add an Access Point (AP) so as not to change the configuration of the running software is use the Wireless Distribution System Mesh (WDS) network. The use of WDS mesh at Universitas Muhammmadiyah Jember (UM Jember) enables a slightly different wireless configuration to reduce the connection loss in the user due to the wireless network area coverage. One step is use AP devices into one unit to handle the case of a connection break by utilizing a network service that is WDS Mesh. WDS Mesh can cover Wi-Fi areas at UM Jember, and the results of testing and analysis of client devices for APs that have been configured WDS Mesh with parameters Signal Strength, CCQ, Signal to Noise Ratio Ratio, Throughput is Excellent.

Internet service providers (ISPs) conduct their business by providing Internet access features to their customers. The COVID-19 pandemic has shifted most activity being performed remotely using an Internet connection. As a result, the demand for Internet services increased by 50%. This significant rise in the appeal of Internet services needs to be overtaken by a notable increase in the service quality provided by ISPs. Service quality plays a great role for enterprises, including ISPs, in retaining consumer loyalty. Thus, modelling ISPs’ service quality is of great importance. Since a common technique to reveal service quality is a timely and costly pencil survey-based method, this work proposes a framework based on the Sentiment Analysis (SA) of the Twitter dataset to model service quality. The SA involves the majority voting of three machine learning algorithms namely Naïve Bayes, Multinomial Naïve Bayes and Bernoulli Naïve Bayes. Making use of Thaicon’s service quality metrics, this work proposes a formula to generate a rating of service quality accordingly. For the case studies, we examined two ISPs in Indonesia, i.e., By.U and MPWR. The framework successfully extracted the service quality rate of both ISPs, revealing that By.U is better in terms of service quality, as indicated by a service quality rate of 0.71. Meanwhile, MPWR outperforms By.U in terms of customer service.

Data processing system of inpatient medical records is one of the functions of the administration in providing services to patients to meet the demands, both for management of the hospital, patients, and paramedics. Hospitals in small urban areas are generally still doing manual processing (simple still be processing data in the handwritten form printed in report form archives). Based on these problems, we need solutions to make medical record information system using web services technology. Web service technology have used to synchronize data between the subunits in the hospital. Systems built using services more than one database that could be accessed via WSDL service and the data format used is XML. Services available for access are data search services and data detail services.Keywords: Information System, Medical Records, Web Service, Hospitals