Data merupakan informasi yang sangat penting dalam memanage suatu instansi, baik instansi pemerintah maupun swasta. Sekolah sebagai salah satu instansi pemerintah yang bergerak di bidang pendidikan ...juga memerlukan manajemen data yang sangat baik. Manajemen data yang baik mempermudah untuk proses pengolahan data. SMA Negeri 6 Maluku Tengah merupakan salah SMA Negeri yang ada pada Kabupaten Maluku Tengah di Provinsi Maluku. Namun SMA Negeri 6 terletak berbeda pulau dengan Ibu Kota Kabupaten Maluku Tengah. Pengabdian ini diperoleh hasil bahwa Para guru mampu memahami dan memanfaatkan berbagai formula pada Microsoft Office Excell sehingga mampu membuat daftar nilai rapot siswa otomatis menggunakan Microsoft Office Excell. Para guru mampu memahami dan memanfaatkan berbagai formula pada Microsoft Office Excell sehingga mampu membuat manajemen data pegawai dan guru menggunakan Microsoft Office Excell.
The purpose of this community service is to improve basic computer skills based on the Microsoft Office application for students of SMK Negeri 3 Merauke. This community service method used training ...with material presentation techniques and questions and answers. The training participants were 34 students of class X Multimedia Department. There were 2 (two) activities carried out, namely: the preparation of a Microsoft office training manual and a questionnaire response to training participants as well as the implementation of basic computer training activities online. The instruments used are response questionnaires and activity documentation. The results of this community service activity indicate that overall each indicator of the response of basic computer training participants is in the 'good' and 'very good' categories. The average percentage of responses is 98.23 which is included in the 'very good' category.
This research aims to develop a digital filing system at the Ganesha Mocktail café in Bandung, West Java. This is intended to improve the existing archive storage system at the Ganesha Mocktail café ...so that the documents that are owned are stored properly. This type of research and development uses a Research and Development (RnD) design developed using the SDLC (System Development Life Cycle) model. The research stages start from system planning, system analysis, system design/development, to system implementation. This research produces a digital archive information system application for Café Ganesha Mocktail based on Microsoft Office Access. Through this application, Café Ganesha Mocktail can store files safely and easily find the documents needed.
EXCEL® is a Microsoft Office software product, which has excellent numerical and logic calculation and analysis functions. The method of programming a CNC macro program using EXCEL® is being ...presented in this paper for the first time. By defining the locations of a hole pattern geometrically, and simulating the programming of a macro, it can be demonstrated that a CNC program using macros is simple and easy to understand, and the program is flexible, generic and portable.
Desa Slumbung terletak di Kecamatan Ngadiluwih, Kabupaten Kediri, Jawa Timur yang termasuk dalam kategori desa tertinggal. Program pengabdian masyarakat ini bertujuan untuk: (1) Penataan administrasi ...desa dan penyempurnaan monografi desa, (2) Menerapkan analisis statistika deskriptif untuk meringkas dan menampilkan data-data yang dimiliki oleh desa. (3) Peningkatan kemampuan, pengetahuan dan ketrampilan aparatur desa dalam pengelolaan administrasi secara digital melalui pelatihan/workshop (4) Merancang pembuatan database secara digital untuk membantu pengelolaan data yang sudah ada dan data di masa yang akan datang. Kontribusi mendasar pada khalayak sasaran adalah memberikan pelatihan-pelatihan dasar untuk penataan administrasi desa yang lebih rapi; meningkatkan kapasitas dan produktifitas perangkat desa termasuk Sekretaris Desa, Kepala Urusan, Kepala Dusun, Bendahara, tenaga operator dan staf terkait laiinya dan melakukan pendampingan di setiap kegiatan yang dilakukan dan membantu menyelesaikan masalah-masalah di lapang.
•SFEM is a novel structural feature extraction methodology for XML-Based documents.•SFEM is static, lightweight, and fast - 37ms for an average file (250KB).•SFEM is leveraged with machine learning ...for effective malicious document detection.•Best configuration: Fisher Score, TFIDF, Top 200 features, and Random Forest.•The best configuration provided: TPR=0.97, FPR=0.049, AUC=0.9912.
Office documents are used extensively by individuals and organizations. Most users consider these documents safe for use. Unfortunately, Office documents can contain malicious components and perform harmful operations. Attackers increasingly take advantage of naive users and leverage Office documents in order to launch sophisticated advanced persistent threat (APT) and ransomware attacks. Recently, targeted cyber-attacks against organizations have been initiated with emails containing malicious attachments. Since most email servers do not allow the attachment of executable files to emails, attackers prefer to use of non-executable files (e.g., documents) for malicious purposes. Existing anti-virus engines primarily use signature-based detection methods, and therefore fail to detect new unknown malicious code which has been embedded in an Office document. Machine learning methods have been shown to be effective at detecting known and unknown malware in various domains, however, to the best of our knowledge, machine learning methods have not been used for the detection of malicious XML-based Office documents (*.docx, *.xlsx, *.pptx, *.odt, *.ods, etc.). In this paper we present a novel structural feature extraction methodology (SFEM) for XML-based Office documents. SFEM extracts discriminative features from documents, based on their structure. We leveraged SFEM’s features with machine learning algorithms for effective detection of malicious *.docx documents. We extensively evaluated SFEM with machine learning classifiers using a representative collection (16,938 *.docx documents collected "from the wild") which contains ∼4.9% malicious and ∼95.1% benign documents. We examined 1,600 unique configurations based on different combinations of feature extraction, feature selection, feature representation, top-feature selection methods, and machine learning classifiers. The results show that machine learning algorithms trained on features provided by SFEM successfully detect new unknown malicious *.docx documents. The Random Forest classifier achieves the highest detection rates, with an AUC of 99.12% and true positive rate (TPR) of 97% that is accompanied by a false positive rate (FPR) of 4.9%. In comparison, the best anti-virus engine achieves a TPR which is ∼25% lower.
Attackers increasingly take advantage of innocent users who tend to casually open email messages assumed to be benign, carrying malicious documents. Recent targeted attacks aimed at organizations ...utilize the new Microsoft Word documents (*.docx). Anti-virus software fails to detect new unknown malicious files, including malicious docx files. In this paper, we present ALDOCX, a framework aimed at accurate detection of new unknown malicious docx files that also efficiently enhances the framework's detection capabilities over time. Detection relies upon our new structural feature extraction methodology (SFEM), which is performed statically using meta-features extracted from docx files. Using machine-learning algorithms with SFEM, we created a detection model that successfully detects new unknown malicious docx files. In addition, because it is crucial to maintain the detection model's updatability and incorporate new malicious files created daily, ALDOCX integrates our active-learning (AL) methods, which are designed to efficiently assist anti-virus vendors by better focusing their experts' analytical efforts and enhance detection capability. ALDOCX identifies and acquires new docx files that are most likely malicious, as well as informative benign files. These files are used for enhancing the knowledge stores of both the detection model and the anti-virus software. The evaluation results show that by using ALDOCX and SFEM, we achieved a high detection rate of malicious docx files (94.44% TPR) compared with the anti-virus software (85.9% TPR)-with very low FPR rates (0.19%). ALDOCX's AL methods used only 14% of the labeled docx files, which led to a reduction of 95.5% in security experts' labeling efforts compared with the passive learning and the support vector machine (SVM)-Margin (existing active-learning method). Our AL methods also showed a significant improvement of 91% in number of unknown docx malware acquired, compared with the passive learning and the SVM-Margin, thus providing an improved updating solution for the detection model, as well as the anti-virus software widely used within organizations.
Microsoft Office functions are very important to support various work related to offices and multimedia. In today's era, almost all office work requires Microsoft Office programs in its completion, ...not to mention in the world of education. Microsoft Office itself is a collection of software applications that are used to process, store, and combine data in the form of documents. One of the Microsoft Office Specialist (MOS) programs is PowerPoint, where the PowerPoint features really is supports the process of implementing education, especially for teachers who is teaching students. With the recognition of MOS, teachers will have the ability to take advantage of features, especially features in PowerPoint that can be implemented in the teaching and learning process. Awareness of MA Ma'arif's 03 KKM (Kelompok Kerja Madrasah) teachers in Kab. Demak for the development of information technology to be creative and innovative in creating interesting teaching media for students is the background for this service activities. This activities are carried out using the method of direct mentoring to partners through MOS PowerPoint training and exams. The results of the MOS PowerPoint training evaluation, 100% of participants passed the exam. the implementation of community service has succeeded in achieving the goals and targets that have been set, seen from the positive responses from participants whose all assistance is training and is relevant to needs.
The work world related to office administration, mastery of Microsoft Office is needed as an office administration work tool that must be mastered by vocational students. However, students of SMK ...Dwitunggal 1 Tanjung Morawa hasn’t been maximal in mastering Microsoft Office 2019, especially in making mail merge on Ms. Word. They are only limited to know the use of Microsoft Office 2019 in the basic stages. Community Service Activity aimed to provide training on introduction of Microsoft Office 2019 computer applications in making mail merge on Microsoft Word to students of SMK Dwitunggal 1 Tanjung Morawa majoring in Office Management. The method used in this service activities were the tutorial, the question and answer, and the practical method. This activity was done well and gained the expected results. The result of this activity was students’ improvement in the ability and skills of making mail merge for letters, certificates and labels using Microsoft Office 2019. It hoped that Students of SMK Dwitunggal 1 Office Management Department understands to create mail for letters, certificates and labels, and if they follow Competency Test for their mail merge material, they can pass and get a Competency Certificate that is given by the State.
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