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Pelatihan Teknik Formating Microsoft Word 2016 Pada Pengurus dan Guru-guru TPQ Nurul Jihad Tanjung Priok Yuli Komalasari; Muhammad Muharrom; Achmad Sumbaryadi; Kadinar Novel
Abditeknika Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2022): Oktober 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abditeknika.v2i2.1423

Abstract

Pengabdian masyarakat merupakan suatu kegiatan proses pengembangan diri yang dapat memberikan manfaat bagi masyarakat dalam suatu wilayah tujuan pembangunan tertentu. Dengan merespon perkembangan zaman yang maju dan membentuk masyarakat yang berpikir realistis dan menunjukkan kepemimpinan yang handal, secara tidak langsung kita membentuk peradaban yang maju. Pengabdian kepada masyarakat merupakan tugas pengajar yang melaksanakan salah satu dari tiga undang-undang perguruan tinggi.. Tujuan kegiatan ini mengajak guru-guru TPQ Nurul Jihad untuk lebih memahami penggunaan aplikasi Microsoft word , Memberikan motivasi agar Microsoft word selalu digunakan dalam membantu pekejaan sehari-hari, sehingga menjadi terbiasa dalam pengguannya, semakin terlatih dan terbiasa dalam penggunaan komputer, serta meningkatkan keilmuan pengajar TPQ khususnya penggunaan microsoft word yang bermanfaat untuk penunjang pekerjaan dalam membuat surat menyurat, mengolah data dan informasi dan pengelolaan administrasi Kegiatan kali ini diadakan di TPQ Nurul Jihad Tanjung Priok dengan materi pelatihan teknik formatting Microsoft Word 2016. Metode yang digunakan dengan sebelum Pengabdian Masyarakat dimulai, dengan mengunjungi TPQ nurul Jihad, menyiapkan kebutuhan termasuk materi peatihan. Guru-guru dan karyawan TPQ Nurul Jihad saat antusias dengan kegitan ini. Setelah kegiatan selesai Guru-guru dan karyawan mulai membiasakan penggunaan Microsoft Word 2016 dalam menyelesaikan pekerjaannya. Dengan pemakaian yang rutin pada Microsoft 2016 tersebut, diharapkan para guru dan karyawan semakin trampil menggunakannya, dan pekerjaan lebih cepat.   Pengabdian Masyarakat is an activity of a self-development process that can provide benefits to the community in a particular development goal area. By responding to the development of an advanced era and forming a society that thinks realistically and shows reliable leadership, we indirectly form an advanced civilization. Pengabdian Masyarakat is the task of teachers who carry out one of the three university laws. The purpose of this activity is to invite TPQ Nurul Jihad teachers to better understand the use of Microsoft word applications, provide motivation so that Microsoft word is always used in helping daily work , so that they become accustomed to their use, are more trained and accustomed to using computers, and improve the knowledge of TPQ teachers, especially the use of Microsoft word which is useful for supporting work in writing correspondence, processing data and information and administrative management. This activity was held at TPQ Nurul Jihad Tanjung Priok with training materials on Microsoft Word 2016 formatting techniques. The method used before the Pengabdian Masyarakat began, by visiting TPQ Nurul Jihad, preparing needs including training materials. Teachers and employees of TPQ Nurul Jihad were enthusiastic about this activity. After the activity was completed, the teachers and employees began to familiarize themselves with the use of Microsoft Word 2016 in completing their work. With the regular use of Microsoft 2016, it is hoped that teachers and employees will be more skilled at using it, and work faster.    
RANCANG BANGUN SISTEM INFORMASI PERPUSTAKAAN PADA SMA ATTAQWA 02 BABELAN BERBASIS WEBSITE Muhammad Muharrom
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 2 No. 3 (2022): November : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i3.704

Abstract

SMA Attaqwa 02 Babelan is a high school with its address in Babelan District, Bekasi Regency. In ongoing library activities, it is still carried out in a conventional way, which is still taking notes in books and members come directly to the library to find out information about books. Where this activity is considered to still have problems, including limited library operating hours so that students have to go to the library physically to borrow books. The book stock is limited and the current system is not informative, so that when you come to the library to borrow the book you need, the book has not been returned by the previous borrower. The purpose of this study is to analyze the system that is currently running, in order to overcome the problems faced at Attaqwa 02 Babelan High School, by designing a Library Information System Design at Attaqwa 02 Babelan High School Based on Websites. The research framework that will be carried out in solving the problems discussed is identifying, conducting information searches based on theoretical foundations, collecting data using observation and interview methods, analyzing to find solutions to the problems faced by SMA Attaqwa 02 Babelan.
PENGGUNAAN METODE ANALYTICAL HIERARCY PROCESS (AHP) DALAM MENENTUKAN PLATFORM ONLINE FOOD DELIVERY TERBAIK Bonni Nurtanaya; Edhi Prayitno; Juarni Siregar; Muhammad Muharrom
Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 1 (2023): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v6i1.2080

Abstract

Decision support system is one part of the benefits of information systems that can be a guide for users in determining the best choice from several available options. Some consumer considerations in making purchases online illustrate that there are factors that influence consumer decisions in making purchases of goods. This study refers to the level of decision and consumer satisfaction in choosing the best online food delivery service platform so that it can provide an alternative problem solving in making a decision. The use of the AHP (Analytical Hierarchy Process) method in this study was used to determine the choice of the best online food delivery platform from the 3 available options, namely Grabfood, Gofood and Shopeefood. Data collection by distributing questionnaires to 50 respondents aged 18-40 years to analyze and test the 5 (five) specified criteria including price, promotion, service, security and speed. Assessment of the selection of online food delivery service platforms with these criteria uses pairwise comparison scale with an importance level from 1-9 intervals. The research results based on the weight of each of these criteria, namely speed 0.161, security 0.253, service 0.251, promotion 0.174 and price 0.161 as well as the percentage of online food delivery platforms chosen by respondents are as follows: Grabfood 36.02%, Gofood 34.14 %, and Shopeefood 29.84%. From this study, it can be concluded that Grabfood is an online food delivery platform that is most in demand by the current millennial generation.
KOMPARASI ALGORITMA KLASIFIKASI NAIVE BAYES DAN K-NEAREST NEIGHBORS DALAM ANALISIS SENTIMEN TERHADAP OPINI FILM PADA TWITTER Muhammad Muharrom
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 1 (2023): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i1.1147

Abstract

The fact that social media is so unreliable does not prevent Twitter users from using the service. Twitter is one of a few social media platforms that allows users to engage in conversation, share information, or even reveal their true identities, such as when discussing a movie's plot. A tweet or comment about a movie that is posted on Twitter may be viewed as a tool to improve the quality of movie production. To understand this, one can use sentimen analysis to categorize as either negative or positive by comparing the Naive Bayes and k-Nearest Neighbors algorithms to determine which one is the most accurate. The results of the two algorithms' comparative testing reveal that the Nave Bayes algorithm has a higher rata-rata accuracy of 99.63% with an AUC of around 1.000, while the K-NN algorithm has a higher rata-rata accuracy of 99.25% with an AUC of 1.000.
Pelatihan Dasar MS Power Point di TPQ Nurul Jihad Yuli Komalasari; Muhammad Muharrom; Achmad Sumbaryadi; Ellya Verawati
Jurnal Pengabdian Kreatif Cemerlang Indonesia Vol 2 No 1 (2023): Periode Mei
Publisher : Yayasan Kreatif Cemerlang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (703.104 KB)

Abstract

Kegiatan Pengabdian Masyarakat diadakan di TPQ Nurul Jihad, materi yang diberikan Penggunaan aplikasi Power Point. Pada Kegiatan PM sebelunya diberikan pelatihan penggunaan aplikasi Microsoft Word. Banyak manfaat dari kegiatan PM sebelumnya, sehingga pihak TPQ Nurul Jihad mengharapkan kerjasama kembali dalam bentuk pelatihan dengan tema penggunaan aplikasi Power Point. Aplikasi tersebut diperlukan, karena sebagai guru dalam memberikan pengajaran diperlukan penyampaian materi kepada siswa dengan menggunakan aplikasi tersebut. Selain penyampaiannya lebih menarik, diharapkan siswa lebih semangat saat berada dikelas, karena penyampain materi tidak membosankan dengan adanya tampilan-tampilan materi yang disampaikan menggunakan aplikasi Power Point. Pada kesempatan lain, guru dan karyawan pada saat presentasi didalam dan luar lingkungan TPQ dapat menggunakan aplikasi tersebut. Semangat belajar terus ditunjukkan oleh guru dan karyawan TPQ Nurul Jihad, sehingga acara PM tersebut dapat berjalan lancar dan mendapatkan respon yang sangat baik dari guru-guru dan karyawan TPQ Nurul Jihad.
Analisis Penggunaan Orange Data Mining untuk Prediksi Harga USDT/BIDR Binance Muhammad Muharrom
Bulletin of Information Technology (BIT) Vol 4 No 2: Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i2.654

Abstract

The results of implementing Orange Data Mining for predicting USDT/BIDR prices are displayed in the Test and Score widget. In the conducted test, RMSE and MAE values were obtained for each model. The K-Nearest Neighbor (K-NN) method had RMSE and MAE values of 0.002 and 0.002, while the Support Vector Machine (SVM) method had RMSE and MAE values of 0.0003 and 0.002. The Linear Regression method had RMSE and MAE values of 0.0000 and 0.000. Based on these RMSE and MAE values, it can be concluded that the Linear Regression method is the best method for predicting changes in USDT/BIDR prices compared to the K-Nearest Neighbor and SVM methods. Further research is needed to investigate this best method for future studies. It is recommended that future research compares the Linear Regression method with other methods using Orange tools or implements other relevant tools.
Analysis of Vulnerability Assessment Technique Implementation on Network Using OpenVas Muhammad Muharrom; Afif Saktiansyah
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 2 No 2 (2023): September 2023
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v2i2.3297

Abstract

Vulnerability Assessment is an important method for identifying and analyzing security vulnerabilities within a network system. This research aims to identify security vulnerabilities within the PT. Dutakom Wibawa Putra network using OpenVAS as a research tool. In the vulnerability analysis phase, OpenVAS is utilized to scan the PT. Dutakom Wibawa Putra network and identify existing vulnerabilities. Subsequently, an evaluation is conducted on the identified vulnerabilities, including risk assessment and necessary mitigation recommendations. The outcomes of this study provide a clear overview of the security vulnerabilities present in the PT. Dutakom Wibawa Putra network. This research using method analysis of vulnerability assessment technique implementation on network using OpenVas, several significant vulnerabilities that could impact the security of the network and systems have been identified. The findings of this analysis report can serve as a foundation for developing improved security strategies and implementing effective mitigation measures. In conclusion, this study successfully applies Vulnerability Assessment techniques to the PT. Dutakom Wibawa Putra network using OpenVAS. The identified vulnerability analysis results offer valuable insights into security weaknesses that need to be addressed. It is hoped that this research can serve as a reference for PT. Dutakom Wibawa Putra and similar organizations in enhancing their network security through the implementation of effective Vulnerability Assessment techniques.
Rancang Sistem Informasi Inventaris Sekolah Pada SMK 1 Perguruan Cikini Meggunakan Metode Prototype Yuniar, Rivaldi Nazar; Muharrom, Muhammad
JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Vol. 2 No. 1 (2023): Desember 2023
Publisher : Cipta Media Harmoni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53624/jsitik.v2i1.280

Abstract

SMK 1 Perguruan Cikini sekolah unggulan di kota Jakarta utara belum memiliki sistem informasi sebagai pengelolaan data. Dalam kegiatan inventaris pada sekolah masih manual seperti menulis banyak data-data barang ruangan di dalam buku, sehingga proses kegiatan tersebut memakan waktu lama, hal kegiatan inventaris kurang efektif dan efisien. Tujuan ingin dicapai yaitu merancang sistem informasi inventaris barang dapat membantu pihak sebagai inventaris dalam kegiatan pendataan, dan mencetak laporan. Sehingga kegiatan inventaris menjadi efektif dan efisien. metode penelitian yaitu wawancara, observasi, dan studi pustaka, metode pengembangan adalah prototype. Hasil penelitian yaitu perancangan sistem informasi inventaris dapat membantu dalam kegiatan inventaris seperti pendataan data barang, dan mencetak laporan inventaris.
Pengaruh Efektifitas Aplikasi HRMS Terhadap Absensi Karyawan Pada PT. Thai Seng Indonesia Menggunakan Metode TAM Juniar, Muhammad Deva; Muharrom, Muhammad
JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Vol. 2 No. 1 (2023): Desember 2023
Publisher : Cipta Media Harmoni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53624/jsitik.v2i1.283

Abstract

Penelitian ini bertujuan untuk menginvestigasi pengaruh efektivitas Aplikasi Human Resources Management System (HRMS) terhadap absensi karyawan di PT. Thai Seng Indonesia menggunakan metode Technology Acceptance Model (TAM). HRMS telah menjadi alat yang semakin penting dalam manajemen sumber daya manusia untuk meningkatkan efisiensi dan efektivitas proses absensi karyawan. Model TAM digunakan untuk memahami penerimaan dan adopsi teknologi oleh pengguna. Penelitian ini melibatkan pengumpulan data primer melalui kuesioner yang diberikan kepada responden yang merupakan karyawan PT. Thai Seng Indonesia. Variabel dalam penelitian ini mencakup efektivitas HRMS, persepsi kegunaan HRMS, persepsi kemudahan penggunaan HRMS, dan niat pengguna untuk menggunakan HRMS dalam melaporkan absensi mereka. Data yang terkumpul dianalisis menggunakan teknik analisis regresi dengan bantuan perangkat lunak statistik. Hasil penelitian ini menunjukkan efektivitas HRMS memiliki pengaruh positif dan signifikan terhadap absensi karyawan. Selain itu, persepsi kegunaan dan persepsi kemudahan penggunaan HRMS juga berkontribusi secara positif terhadap niat pengguna untuk menggunakan HRMS dalam melaporkan absensi.
Analisis Komparasi Algoritma Data Mining Naive Bayes, K-Nearest Neighbors dan Regresi Linier Dalam Prediksi Harga Emas Muharrom, Muhammad
Bulletin of Information Technology (BIT) Vol 4 No 4: Desember 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i4.986

Abstract

The results of implementing Orange Data Mining for forecasting the value of the Gold Price are displayed on the Test and Score widget. RMSE and MAE values were obtained from each model from the test. The RMSE and MAE values for the K-Nearest Neighbor (K-NN) method are 0.007 and 0.006, respectively, while for the Support Vector Machine (SVM) method are 0.006 and 0.005. The RMSE and MAE values for the Linear Regression method are 0.004 and 0.003, respectively. Compared to the K-Nearest Neighbor and SVM methods, the Linear Regression method is the best at predicting changes in Gold prices based on the RMSE and MAE data mentioned above. For future research, this best practice method needs to be studied more deeply. It is recommended for future research to compare the Linear Regression method with alternative approaches using the Orange tool set or other related tools.