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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Informatika INFOKUM Bulletin of Computer Science and Electrical Engineering (BCSEE) Instal : Jurnal Komputer Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Mejuajua Jurnal Minfo Polgan (JMP) Outline Journal of Community Development International Journal for Advanced Research
Aripin Rambe
Universitas Battuta
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Shafiyyatul Amaliyyah School Student Face Absence Using Principal Component Analysis and K – Nearest Neighbor Aripin Rambe; Juliansyah Putra Tanjung; Muhathir Muhathir
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6214

Abstract

Pattern recognition is one of the sciences used to classify things based on quantitative measurements of the main features or properties of an object. Pattern recognition has been widely used in various fields of research. One of the pattern recognition that is often discussed is facial recognition. The face is one of the human biometrics that is often used as the main information of a person. Face recognition is a field of research with many applications in applications such as attendance, population data collection, security systems, and others. The research utilizes feature extraction of PCA (Principal Component Analysis), and K-NN (K – Nearest Neighbor) with variations of the distance formula by applying facial recognition attendance at the Safiatul Amaliyah School. This research is expected to get accurate results in detecting, recognizing, and comparing a person's face with a small error rate. The distance formula with accuracy level is presented with the equation Cityblock < Euclidian < Minkowski < Chebychev. The effect of applying the variation of the distance formula on the performance of the facial attendance recognition model is not too big, but it is better.
Implementasi K-Means Clustering Terhadap Mahasiswa yang Menerima Beasiswa Yayasan Pendidikan Battuta di Universitas Battuta Tahun 2020/2021 Studi Kasus Prodi Informatika Baginda Harahap; Aripin Rambe
Jurnal Informatika Vol 9, No 3 (2021): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v9i3.2185

Abstract

Setiap penerimaan mahasiswa baru di Universitas Battuta, Yayasan Pendidikan Battuta menyalurkan dana bantuan berbentuk beasiswa kepada calon Mahasiswa yang mendaftar di Universitas Battuta. Agar penyaluran ini tepat sasaran, maka dibutuhkan suatu metode yang tepat. Dalam penelitian ini digunakanlah K-Means Clustering untuk menyeleksi mahasiswa dalam menerima beasiswa tersebut, yaitu 50%, 60% dan 100%. Sehingga penelitian ini sangat cocok untuk digunakan dalam menyeleksi calon mahasiswa baru yang mendapatkan beasiswa dari Yayasan Pendidikan Battuta.
Sosialisasi Pemanfaatan Google Bisnisku Sebagai Media Promosi dan Pemasaran Di Kecamatan Bahorok Kabupaten Langkat Sumatera Utara Aripin Rambe; Fithrie Soufitri; Fahmi Ruziq
Mejuajua: Jurnal Pengabdian pada Masyarakat Vol. 1 No. 3 (2022): April 2022
Publisher : Yayasan Penelitian dan Inovasi Sumatera (YPIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/mejuajuajabdimas.v1i3.38

Abstract

Google My Business merupakan sebuah tools pada Google yang diluncurkan untuk mempermudah para wirausaha untuk mengembangkan dan mempromosikan bisnisnya lewat digital. Google bisnisku (Google My Business) merupakan sebuah tools yang disediakan oleh Google untuk mempermudah calon klien mengetahui informasi bisnis kamu. Seperti nama bisnis, alamat perusahaan, nomor telepon perusahaan, alamat email, jam operasional, website perusahaan, foto kantor, hingga review klien. Dengan mendaftarkan bisnis kamu pada Google Bisnis, tentunya akan memberikan manfaat diantaranya. Mempermudah calon klien menemukan informasi mengenai bisnis kamu, media komunikasi calon klien, mempermudah kamu mendapatkan review dari klien, bisnis kamu akan muncul di google maps, dapat melakukan analisis klien dan tentunya google bisnisku bisa tampil pada semua device.
Penerapan Komputer Dasar Terhadap Juru Kasir & Juru Buku Pada Koperasi Simpan Pinjam Baginda Harahap; Aripin Rambe; Eka Hayana Hasibuan; Roy Nuary Singarimbun
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 2 No. 1 (2022): Januari 2022 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/altifani.v2i1.206

Abstract

Pengabdian ini bertujuan untuk memberikan pemahaman kepada juru kasir dan juru buku terhadap penggunaan komputer dasar, penggunaan microsoft word, excel dan power poin. Dan pada pelatihan ini akan diajarkan bagaimana membuat suatu laporan dengan menggunakan microsoft word dan excel. Selama ini juru kasir dan juru buku di komperasi masih banyak yang menggunakan pencatatan dan laporan itu dibuat dalam buku harian (manual book), karena kurangnya pemahaman mereka terhadap penggunaan komputer dasar baik itu untuk komponen perangkat keras dan komponen perangkat lunak standar.
Asistensi Implementation of Database-Based CodeIgniter PHP Framework on School Alumni Data (Case Study of Alumni Data for SMK Taman Siswa Medan) Aripin Rambe
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (760.686 KB)

Abstract

By using the CodeIgniter PHP framework, an information system web application software can be created to help manage data. In this study, software was developed to help manage school alumni data. By using the security layer in the CodeIgniter PHP framework, data filtering can be done to prevent the exploitation of security vulnerabilities, which include Cross-site Scripting (XSS) and SQL Injection. This can be seen from the test results that only produce low level warnings. So the quality of the software developed in terms of security is quite good.
Application of K-Means Clustering on School Identification in the Distribution of Assistance Funds for DPRD Members: Case Study in North Padang Lawas DPRD Eka Hayana Hasibuan; Aripin Rambe; Dinur Syahputra
Bulletin of Computer Science and Electrical Engineering Vol. 3 No. 2 (2022): December 2022 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v3i2.1163

Abstract

In this study, the k-means algorithm was used to group schools and categorize DPRD grants into very feasible, feasible, and impractical categories for better focus. Based on the results of computational analysis using the K-Means clustering algorithm using the Euclidean distance equation for the distribution of DPRD suction subsidies from 52 schools, 28 schools are in the very decent category and 11 schools are decent. In that category, 13 schools were found with fewer categories. executable category. RapidMiner Studio v.7.6 software can group schools based on the distribution needs of DPRD suction tools for more effective and efficient results.
Implementasi Algoritma Apriori Pada Pola Pemilihan Menu Di Murai Kupi Menggunakan Rapid Miner Aripin Rambe; Dinur Syahputra; Baginda Harahap
Jurnal Minfo Polgan Vol. 12 No. 1 (2023): Artikel Penelitian 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i1.12918

Abstract

Kafe Murai Kupi adalah perusahaan yang bergerak di bidang kuliner. Kafe Murai Kupi sendiri berkeinginan untuk membuat strategi bisnis yang baru. Aktivitas bisnis yang sedang berlangsung dinilai belum maksimal untuk meningkatkan pendapatan penjualan karena perusahaan belum dapat melakukan penjualan menu secara merata, menu ada yang laku terjual dan ada yang tidak habis terjual. Penjualan menu yang tidak laku terjual akan mengalami penumpukan stok bahan makanan di kitchen stok, hal ini mengakibatkan kapasitas penyimpanan kitchen stok berkurang dan biaya pemiliharaan lebih tinggi. Strategi pemasaran saat ini perusahaan harus mampu mempertahankan atau bahkan meningkatkan daya saing dengan perusahaan lain, salah satunya dengan menerapkan Analisis Data Mining menggunakan algoritma Apriori untuk menghasilkan konsep yang digunakan oleh perusahaan adalah product bundling pada tujuan akhirnya, konsep ini memungkinkan perusahaan untuk dapat menggabungkan antara dua menu atau lebih dalam satu paket menu kepada pelanggan dengan tujuan menu yang tidak laku akan ikut terjual. Hasil yang diharapkan mampu meningkatkan proses bisnis perusahaan sehingga menciptakan peningkatan terhadap kepuasan pelanggan, dan peningkatan daya saing dengan perusahaan lain, perusahaan dapat meningkatkan pendapatan perusahaan. Sistem mengharapkan perusahaan untuk melakukan ini Anda dapat secara efektif dan efisien membuat menu bundel dan meningkatkan penjualan di perusahaan.
Modern Classic Home Design with Multimedia-Based AutoCAD and SketchUp: Dinur Syahputra, Aripin Rambe, Dewi Wahyuni dinur syahputra; Aripin Rambe; Dewi Wahyuni
Bahasa Indonesia Vol 15 No 01 (2023): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i01.96

Abstract

Design is the process of planning and designing an object with the aim that the object has a function, aesthetic value and is useful for humans. Design involves the creative process of designing something so as to create something functional for its users. Multimedia is the use of computers to present and combine text, sound, images, animation, audio and video with tools. In multimedia there are many fields and types that can be studied. There is such a thing as graphic design, videography, photography, animation and so on. In this case the author is working on "Classic Modern Home Design with Multimedia-Based AutoCAD and SketchUp.
Optimizing the Role of Schools and Communities in Protecting Children from Dropping Out through Community Service Programs Muhammad Konginta Lubis; Melky Suhery Simamora; Leni Indrayani; Aripin Rambe
Outline Journal of Community Development Vol. 1 No. 3: March 2024
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/bvqs4463

Abstract

Education is a basic right of children that must be protected from being hampered by socio-economic factors. One of the main challenges in the education sector is the high dropout rate, especially among children from underprivileged families. This study aims to explore and optimize the role of schools and communities in protecting children from dropping out of school through community service programs. This program involves collaboration between schools, communities, and the government to reduce factors that cause dropouts, such as economic problems, lack of motivation, and parental involvement. The results of the study showed that providing scholarships, additional learning facilities, and developing learning communities significantly supported the sustainability of children's education. However, challenges such as limited funds and difficulties in reaching remote areas still need to be addressed. Recommendations for program development include increasing accessibility, parental involvement, and partnerships with donor agencies. This program is expected to provide a sustainable positive impact on children's education in areas with high dropout rates.
Enhancing Cybersecurity Resilience with AI-Powered Threat Detection Systems Sattar Rasul; Aripin Rambe; Roy Nuary Singarimbun
International Journal of Advanced Research Vol. 1 No. 3: October 2024
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/6fch4r18

Abstract

Cybersecurity is a major concern across sectors given the increasing complexity of digital threats. This study evaluates the application of an AI-powered threat detection system to improve an organization’s cybersecurity resilience. By leveraging technologies such as Machine Learning (ML) and Deep Learning (DL), the system is able to detect new threat patterns and respond in real-time. The study shows that the AI-powered system has an accuracy rate of up to 95% in detecting threats, reducing the average response time from 4 hours to less than 30 minutes, and reducing false positives by 40%. The results also revealed that AI can detect 87% of new, unregistered threats. However, the adoption of this technology faces challenges, such as high implementation costs, reliance on quality data, and the risk of AI-based adversarial attacks. The study recommends mitigation strategies, including adversarial-based training, careful data management, and investment in AI infrastructure. The study concludes that the application of AI provides an adaptive and effective solution to improve cybersecurity resilience despite the challenges that must be overcome.
Co-Authors Baginda Harahap Dewi Wahyuni Dinur Syahputra Dinur Syahputra Eka Hayana Hasibuan Eka Hayana Hasibuan Fithrie Soufitri Juliansyah Putra Tanjung Leni Indrayani Melky Suhery Simamora Muhammad Konginta Lubis Muhathir, Muhathir Roy Nuary Singarimbun Roy Nuary Singarimbun ruziq, fahmi Sattar Rasul