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All Journal JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Pengabdian Kepada Masyarakat Abdi Putra
Umar Aditiawarman
Universitas Nusa Putra
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Public Health Other

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Merdeka Belajar Di Tengah Pandemi Melalui Metode CTL atau Contextual Teaching and Learning Nur Hidayah K Fadhilah; Meutia Riany; Erlin Oktaviani; Muhamad Hilman Fauzan M; Saepul Iqbal; Seskia Pietyana Dewi Senewe; Dini Oktarina DH; Umar Aditiawarman
Jurnal Pengabdian Kepada Masyarakat Abdi Putra Vol 3 No 1 (2023): Januari 2023
Publisher : Universitas Nusa Putra & Persatuan Insinyur Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/abdiputra.v3i1.126

Abstract

Belajar merupakan kegiatan yang wajid dilaksanakan oleh setiap manusia, terutama anak-anak yang menjadi ujung tombak masa depan. Salah satu upaya yang dapat dilakukan untuk menggerakkan semangat belajar anak di tengah pandemi adalah dengan membentuk sebuah wadah bimbingan belajar. Metode CTL atau Contextual,Teaching and Learning merupakan metode pengajaran modern yang dilakukan dengan cara mengembangkan cara belajar siswa menjadi lebih aktif, mandiri dan pemahaman yang lebih baik ,tujuan nya sendiri untuk menerapkan pendekatan contextual teaching and learning (CTL)dalam pembelajaran Tematik kelas 1&2 sd Negeri Cihalimpu dan MI Simpang ,dengan metode ini dapat membantu para guru dalam proses pembelajaran dimana siswa mampu memahami materi pemebelajaran menggunakan pendekatan benda di lingkungan sekitar.Kegiatan ini dilaksanakan di Desa Wngunsari Kecamatan Cisolok oleh Mahasiswa Kuliah Kerja Nyata Universitas Nusa Putra Sukabumi. Sasaran dari kegiatan ini adalah anak-anak tingkat sekolah dasar di Desa Wangunsari Dengan adanya kegiatan ini, diharapkan agar anak-anak memperoleh pendampingan dan bimbingan serta dapat menggerakkan semangat belajar di tengah pandemi. Kegiatan pengabdian ini berhasil dilaksanakan dan dapat memberikan pengalaman nyata bagi mahasiswa maupun anak-anak Desa Wangunsari.
Face Recognition of Indonesia’s Top Government Officials Using Deep Convolutional Neural Network Umar Aditiawarman; Dimas Erlangga; Teddy Mantoro; Lutfil Khakim
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 1 (2023): February 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i1.4437

Abstract

Facial recognition is a part of Computer Vision that is used to get facial coordinates from an image. Many algorithms have been developed to support Facial Detection such as Cascade Face Detection using Haar-Like features and AdaBoost to classify its Cascade and Convolutional Neural Network (CNN). Face recognition in this study uses the Deep Convolutional Neural Network (DCNN) method, and the output of this method is the measurement value of the face. In the model training process, Triplet Loss from Triplet Network Deep Metric Learning is used to get good face grouping results. The value of this face measurement will then be measured using the Euclidean distance calculation to determine the similarity of the input face from the dataset. This Research is using 6 images of Government officers in Indonesia to determine the accuracy of the model when there is a new picture of these officers inputted into the training machine. The result provides a 94% accuracy level with a variety of face positions and levels of brightness.
Kajian Tentang Bencana Dan Dampak Gempa Bumi di Cianjur Bersama Mahasiswa Teknik Sipil Nusaputra Danang Purwanto; Dio Damas Permadi; Utamy Sukmayu Saputri; Umar Aditiawarman; Dini Oktarina Dwi Handayani; Deshinta Arovva Dewi
Jurnal Abdi Nusa Vol. 3 No. 1 (2023): Februari 2023
Publisher : LPPM Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/abdinusa.v3i1.130

Abstract

This routine study is an activity that aims to increase knowledge and understanding of a problem or event and aims to find new solutions or innovations in solving it. Lack of interest in literacy and a sense of concern for students towards local and national problems or issues, therefore Therefore, this routine study is always carried out once a month with the aim of developing critical thinking, reasoning, students' sense of concern for problems in the local and national areas and finding solutions to issues that exist in the wider community. The occurrence of an earthquake in Cianjur had a major impact in various fields. Especially in a building structure that suffered a lot of damage.
Sistem Informasi Inventaris Barang di Badan Pusat Statistika Kabupaten Sukabumi Berbasis Web Anggun Fergina; Gisni Ariyanti; Alyanissa Putri Iskandar; Jelita Asian; Umar Aditiawarman; Dini Oktarina Dwi Handayani; Deshinta Arovva Dewi
Jurnal RESTIKOM : Riset Teknik Informatika dan Komputer Vol 5 No 1 (2023): April
Publisher : Program Studi Teknik Informatika Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/restikom.v5i1.105

Abstract

Penelitian ini bertujuan untuk merancang dan membangun Sistem Informasi Inventaris Barang Berbasis Web di Badan Pusat Statistika Kabupaten Sukabumi guna membantu bagian inventaris barang dalam peminjaman barang, informasi kondisi barang, penomoran barang dan pendataan. Metode penelitian yang digunakan adalah metode kualitatif dan metode pengumpulan data yang digunakan dalam penelitian ini yaitu metode observasi dan menggunakan metode Waterfall sebagai metode pembangunan perangkat lunak. Web Sistem Informasi Inventaris Berbasis Informasi di Badan Pusat Statistika Kabupaten Sukabumi Buer ini dibangun dengan menggunakan bahasa Java Server Pagess (jsp), dan database MySQL
Social Network Analysis: Identification of Communication and Information Dissemination (Case Study of Holywings) Umar Aditiawarman; Mega Lumbia; Teddy Mantoro; Adamu Abubakar Ibrahim
JOIN (Jurnal Online Informatika) Vol 8 No 1 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i1.911

Abstract

Social media especially Twitter has been used by corporation or organization as an effective tool to interact and communicate with the consumers. Holywings is one of the popular restaurants in Indonesia that use social media as a tool to promote and disseminate information regarding their products and services. However, one of their promotional items has gone viral and invited public protests which turned into a trending topic on Twitter for a couple of weeks. Holywings allegedly improperly promoted their products by using the most honorable names, “Muhammad” and “Maria”. Social network analysis of Twitter data is conducted to identify and examine information circulating among the users, which leads to wider public attention and law enforcement. In this study, we focused on the conversation about Holywings on Twitter from 24 June to 31 July 2022. The analysis was carried out using Python to retrieve data and Gephi software to visualize the interactions and the intensity of the network group in viewing the spread of information. The findings reveal the centrality account that caused the news to go viral are the CNN Indonesia (@CNNIndonesia) news media account and Haris Pertama (@knpiharis), with a centrality of 0.161 and 0.282, respectively. There are also 121 groups involved in the conversation with modularity of 0.821.
Evading Antivirus Software Detection Using Python and PowerShell Obfuscation Framework Umar Aditiawarman; Alfian Dody; Teddy Mantoro; Haris Al Qodri Maarif; Anggy Pradiftha
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 22 No 3 (2023)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i3.3088

Abstract

Avoiding antivirus detection in penetration testing activities is tricky. The simplest, most effective, and most efficient way is to disguise malicious code. However, the obfuscation process will also be very complex and time-consuming if done manually. To solve this problem, many tools or frameworks on the internet can automate the obfuscation process, but how effective are obfuscation tools to avoid antivirus detection are. This study aimed to provide an overview of the effectiveness of the obfus- cation framework in avoiding antivirus detection. This study used experimental design to test and determine the effectiveness of the payload obfuscation process. The first step was generating Python and PowerShell payloads, followed by the obfuscation process. The results showed that by using the right method of obfuscation, malware could become completely undetectable. The automatic obfus- cation process also did not deteriorate the malware’s function. It was proven that the malware could run and open a connection on the server. These findings required more Python obfuscator techniques to determine the effectiveness of the obfuscated payload on the target machines using both static and dynamic analysis
SOSIALISASI BAHAYA BULLYING SEBAGAI UPAYA KESADARAN MENGURANGI TINDAK KEKERASAN DI SDN CIKELAT Ibnu fathurrohman Fathurrohman; Jelita Asian; Umar aditiawarman; Dini Oktarina Dwi Handayani
Jurnal Abdi Nusa Vol. 3 No. 2 (2023): Juni 2023
Publisher : LPPM Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/abdinusa.v3i2.59

Abstract

Kehidupan bersosial dimasyarakat tidak terlepas dari interaksi satu sama lain.interaksi antara manusia akan meningkat seiring bertambahnya usia. Peningkatan perilaku manusia sangat tergantung pada lingkungannnya. Apalagi anak usia dini, tergantung dengan perilaku yang diajarkan oleh keluarganya. Keluarga mempunyai peran penting dalam mengajarkan cara berperilaku yang baik dan benar kepada putra putrinya, tetapi jika lingkungan keluarga tidak terlibat dalam perkembangan sosial individu, akan berdampak sesuatu yang kurang baik, salah satunya bullying. Bullying ini dilakukan satu atau kelompok tertentu untuk menyakiti seseorang melalui fisik atau psikologis seseorang dan membuat korban trauma dan tertekan. Dalam kegiatan Kuliah Kerja Nyata ini kami berusaha untuk berpartisipasi dalam mencegah tindak bullying pada siswa siswa SDN CIKELAT Desa Cikelat Kecamatan Cisolok Sukabumi.
Detecting Hidden Illegal Online Gambling on .go.id Domains Using Web Scraping Algorithms Muchlis Nurseno; Umar Aditiawarman; Haris Al Qodri Maarif; Teddy Mantoro
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 23 No 2 (2024)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3824

Abstract

The profitable gambling business has encouraged operators to promote online gambling using black hat SEO by targeting official sites such as government sites. Operators have used various techniques to prevent search engines from distinguishing between genuine and illegal content. This research aims to determine whether websites with the go.id domain have been compromised with hidden URLs affiliated with online gambling sites. The method used in this research is an experiment using a FOFA.info dataset containing a complete list of 450,000 .go.id domains. A web scraping algorithm developed in Python was used to identify potentially compromised websites from the targeted listby analyzing gambling-related keywords in local languages, such as ’slot,’ ’judi,’ ’gacor,’ and ’togel'. The results showed that 958 of the 1,482 suspected.go.id sites had been compromised with an accuracy rate of 99.1%. This implies that security gaps have been exploited by illegal online gambling sites, posing a reputational risk to the government. Lastly, the scrapping algorithm tool developed in this research can detect illegal online gambling hidden in domains such as .ac.id, .or.id, .sch.id, and help authorities take necessary action.
Pengabdian Masyarakat Melalui Pengadaan Plang Nama Jalan dan Pembagian Vitamin, Masker dan Hand Sanitizer dalam Rangka Menjaga Kesehatan Masyarakat Riyan Faris; Daril Azrial; Umar Aditiawarman
Jurnal Pengabdian Kepada Masyarakat Abdi Putra Vol 4 No 1 (2024): Januari 2024
Publisher : Universitas Nusa Putra & Persatuan Insinyur Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/abdiputra.v4i1.155

Abstract

Abstrak: Kesehatan di suatu desa sangatlah penting untuk di perhatikan apalagi melihat kondisi sekarang banyak sekali macam-macam penyakit, penting sekali untuk menjaga kesehatan mulai dari hal kecil. Salah satu faktor terbesar yang dapat mempengaruhi kesehatan masyarakat adalah ketersediaan sarana pelayanan kesehatan kepada masyarakat luas. Organisasi masyarakat atau berupa posyandu kesehatan masyarakat perlu memastikan bahwa mereka memiliki pelayanan yang sangat memadai, fasilitas ini juga perlu untuk menyediakan pelayanan kesehatan yang cukup untuk semua orang tanpa memandang situasi ekonomi. Dan pada beberapa titik jalan di Desa Cileungsing ini masyarakat kesulitan mencari lokasi tersebut karena tidak adanya nama jalan atau plang jalan di jalan tersebut, Dengan ini tujuan pengabdian masyarakat ini adalah ikut membantu masyarakat Desa Cileungsing dalam penggunaan masker dan handsanitizer juga memberikan vitamin untuk menjaga daya tahan tubuh. Hasil yang diperoleh adalah kurang lebih 83 sasaran yang sudah mendapatkan masker, handsanitizer dan vitamin. Juga pemasangan plang pada 2 titik jalan di Desa Cileungsing sudah dilaksanakan, ini sangat membantu bagi warga disana untuk mempermudah mencari lokasi tersebut.
Detecting Hidden Illegal Online Gambling on .go.id Domains Using Web Scraping Algorithms Muchlis Nurseno; Umar Aditiawarman; Haris Al Qodri Maarif; Teddy Mantoro
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 2 (2024)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3824

Abstract

The profitable gambling business has encouraged operators to promote online gambling using black hat SEO by targeting official sites such as government sites. Operators have used various techniques to prevent search engines from distinguishing between genuine and illegal content. This research aims to determine whether websites with the go.id domain have been compromised with hidden URLs affiliated with online gambling sites. The method used in this research is an experiment using a FOFA.info dataset containing a complete list of 450,000 .go.id domains. A web scraping algorithm developed in Python was used to identify potentially compromised websites from the targeted listby analyzing gambling-related keywords in local languages, such as ’slot,’ ’judi,’ ’gacor,’ and ’togel'. The results showed that 958 of the 1,482 suspected.go.id sites had been compromised with an accuracy rate of 99.1%. This implies that security gaps have been exploited by illegal online gambling sites, posing a reputational risk to the government. Lastly, the scrapping algorithm tool developed in this research can detect illegal online gambling hidden in domains such as .ac.id, .or.id, .sch.id, and help authorities take necessary action.
Co-Authors Adamu Abubakar Ibrahim adang badru jaman,anggun fergina, adang badru jaman,anggun fergina Al Qodri Maarif, Haris Alfian Dody Alyanissa Putri Iskandar Anggy Pradiftha Junfithrana Danang Purwanto Daril Azrial Deshinta Arovva Dewi Dimas Erlangga Dini Oktarina DH Dini Oktarina Dwi Handayani Dio Damas Permadi Erlin Oktaviani Gisni Ariyanti Haris Al Qodri Maarif Haris Al Qodri Maarif Ibnu fathurrohman Fathurrohman Ibrahim, Adamu Abubakar Jelita Asian Lumbia, Mega Lutfil Khakim Mega Lumbia Meutia Riany Muchlis Nurseno Muhamad Hilman Fauzan M Nur Hidayah K. Fadhilah Nurseno, Muchlis Riyan Faris Saepul Iqbal Saputri, Utamy Sukmayu Seskia Pietyana Dewi Senewe Teddy Mantoro