Sosialisasi Artifical Intelligence Menuju Smart Government Untuk Kelompok Pkk Rw 06 Tegal Parang Mampang

The rapid advancement of Artificial Intelligence (AI) technology has significantly impacted industries and government sectors during the fourth industrial revolution. AI offers the potential to simplify and streamline public service delivery, enabling governments to enhance service quality, build public trust, and improve efficiency. In Indonesia, the Women's Empowerment Family Welfare Movement (PKK) plays a crucial role in promoting women's participation in national development. As partners to village and sub-district governments, PKK supports population management and regional development. In line with its commitment to Community Service, Nusa Mandiri University organized the Socialization of Artificial Intelligence Towards Smart Government for PKK RW 06 Tegal Parang Mampang. The main objective of this activity was to inform the management of PKK RW 06 about the benefits and implementation of AI technology in achieving smart government and enhancing PKK's services and activities. The socialization event, attended by 12 participants, was conducted in a hybrid format, combining face-to-face meetings and digital technology. The participants exhibited great enthusiasm in grasping the material and actively engaging in interactive Q&A sessions. As a result of the socialization, participants demonstrated an improved understanding of AI's applications in smart government. To maximize the future impact of community service activities, it is recommended to develop more comprehensive materials, provide continuous training, engage additional partners, and conduct regular evaluations and improvements. By taking these steps, community service initiatives can generate greater benefits for participants and the wider communit

An Investigation of Interactions with Multimodal Graphs on Mobile Devices

PhD thesisThe increasingly broad spectrum of interaction contexts has pushed back the limitations of the Graphical User Interface. However, while the benefits of multimodal computing are increasingly to be found, visually impaired users remain faced with many challenges that prevent them from fully exploiting the benefits of graphical information. This thesis aims to contribute to the research area of accessible graphical information, and to propose a methodological framework for improving multimodal graph interaction. The experiments described in this thesis employ mobile “tablet” devices, as these are an already well established tool within education, and their form factor appears to be well suited to undertaking tasks represented on a surface which is both accessible and provides sufficient space to afford a fair degree of graphical resolution. Three central questions examined in this thesis are as follows: 1) How accurately can visually impaired users estimate the values of data points rendered in auditory graphs presented on a mobile device? 2) Are there modes of interaction which can improve the ability of visually impaired people to perform point estimation tasks presented on a mobile device? 3) What format should the auditory display take to enable accurate understanding and efficient processing of auditory graphs? An analysis of point estimation errors and the correlation between the predicted and actual data points was used to examine the first question. The way in which RMSEs and correlation values vary, generally worsening, as the numbers of data points in the presented auditory graphs are increased is described in detail. Multi touch gestures are then investigated as an alternative approach to passive listening as a means of making point estimation tasks more active and engaging, which in turn might lead to improved performance (question 2). The investigation showed that the additional touch modality enabled visually impaired users to perform point estimation tasks with higher correlations with actual values and lower point estimation errors. The analysis reveals that combining audio playback with user interaction offers an advantage over auditory graph presentation requiring only passive listening. In the final two studies of the thesis, we examine different approaches to the presentation of Y coordinates in auditory graphs (question 3), including the representation of negative numbers. These studies involved both normally sighted and visually impaired users, as there are applications where normally sighted users might employ auditory graphs, such as the unseen monitoring of stocks, or fuel consumption in a car. A mixed methods approach was employed combining quantitative statistics with qualitative data from interviews and informal feedback to form a rounded picture of the results of the studies. The experiments employed tablet-based prototypes and data was captured primarily using audio recordings, notes on a laptop and digital timing data. Participants were recruited appropriately from the visually impaired and normally sighted populations, and were mostly resident either in London or Jakarta. Multi-reference sonification schemes are investigated as a means of improving the performance of mobile non-visual point estimation tasks. The results showed that both populations are able to carry out point estimation tasks with a good level of performance when presented with auditory graphs using multiple reference tones. Additionally, visually impaired participants performed better on graphs represented in this format than normally sighted participants. This work contributes to the introduction of a new multimodal approach, based on the combination of audio and multi-touch gesture interaction, contributing to more accurate point estimation and graph reproduction tasks, improving the accessibility of tablet and smartphone user interfaces

STEP BY STEP AUTOCAD 2D & 3D/SM-15

ix+142hlm;14x21c

AUTOCAD 2014 untuk PEMULA Pengenalan berbagai Teknik Dasar Menggambar Obyek 2D dan 3D

viii ; 21 cm ; 148 hl

Autocad 2014 untuk Pemula

vii, 148 h, 21 cm ilu

Point Estimation with Markers for Effective Mobile Auditory Graphs

While researchers have performed numerous studies to understand the human interpretation of visual graphs in reading, comprehending and interpreting displayed data; visually impaired (VI) students still face many challenges that prevent them from fully benefiting from these graphs in class. In this study, we conducted a test with 20 students to track the work described in studies in an expanded scenario. As we have tried to answer the question as to whether adding multi-reference mapping of sonification to auditory graphs could improve the of point estimation accuracy in non-visual condition. We also emphasize the efficiency of the performance of multi-reference graphs to make them as efficient as mapping using single pitch. Our proposed study improved performance of multi-reference task completion time by having fewer reference note. The results help provide empirical evidence that the multi-reference mode provides more accurate results than the single-pitch mode and confirms that adding contexts to auditory graphs could be used for better comprehension

Prediction of Drug Users Based on Facial Scratching Pattern

The current practice of drug inspection is usually carried out at school or university. This procedure, however, is not effective and efficient, as the urine samples are taken randomly. In many cases, the drug-taking student is not present or evades the urine or hair inspection. A predictive drug user tool is needed, where only suspected student drug users are selected for a urine test. In general, drug abuse constantly causes terrible damage to the skin lesions Since they damage the skin during hallucinations due to the effects of drugs. The Grey Level of Occurrence Matrix (GLCM) is used in this study to discover the scratch pattern. Our proposed GLCM is evaluated with 104 images collected from the Internet. Training data is generated from 88 images of people before and after the drug was collected from the Internet, and we set 16 image faces to test the prediction.  The experiment shows that the prediction based on GLCM has better accuracy (81%) compared with the local binary pattern (LBP) which only reach up to 75%

Standard operational procedure fund distribution system of zakat infaq and shodaqoh for zakat foundations

The management of zakat, infaq and shodaqoh funds is a very crucial activity for each zakat institution, in which two processes are carried out, namely the receipt and distribution of zakat infaq and shodaqoh. This article is the result of further research on the zakat receipt system that was previously published. This fund distribution system is the responsibility of all receipts of funds received so it is very crucial even compared to the ZIS acceptance system itself. This is because there is accountability for the receipt of funds received by the institution and must be submitted to certain parties in accordance with the provisions of Islamic Sharia. Problems that often occur in the process of fund distributing zakat, infaq shodaqoh is a entry data that accountability reports can not be made, the accountability report also can be made, besides that there is also an inaccurate target of the intended recipient distribution object. So that it is necessary to regulate how the right procedures in funds distributing of zakat infaq shodaqoh. The analytical method used by PIECES (Performances, Information, Economics, Control, Efficiency, Services). The standard operating procedure in the ZIS fund distribution system is made with internal control parameters (COSO)