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Journal : Journal of Informatics and Data Science (J-IDS)

Simulasi Virtual Private Network (VPN) Menggunakan Open VPN Pada Machine Virtual Ubuntu 22.04 Dedy Kiswanto
Journal of Informatics and Data Science Vol 2, No 1 (2023): VOL 2, NO 1 (2023): VOL 2, NO 1 (2023)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/j-ids.v2i1.43125

Abstract

Perkembangan teknologi serta jangkauan internet yang membuat orang-orang lebih mudah dalam mengakses internet dan melakukan pekerjaan walau terhalang jarak. Akan tetapi  jangkauan internet tersebut membuat seseorang dapat mengakses privasi orang lain. Oleh karena itu peneliti melakukan penelitian “Simulasi Virtual Private Network (VPN) Menggunakan Open VPN Pada Machine Virtual Ubuntu 22.04”, dimana OpenVPN dapat membantu pengguna dalam pertukaran data dengan aman. Server Ubuntu menyediakan layanan berupa OpenVPN yang mampu menciptakan tunnel server VPN sendiri dan dapat membatasi siapa saja yang dapat mengakses jaringan tersebut. Pada penelitian ini digunakan metode penelitian studi literatur sebagai pedoman dalam pengumpulan data untuk perancangan pembuatan VPN pada Ubuntu, serta dilakukan analisis pada isi data yang dikumpulkan. Hasil yang diperoleh ialah ketika sistem operasi/perangkat pengguna mengaktifkan VPN, maka sistem operasi/perangkat lain tidak dapat mengakses perangkat pengguna.
Classification of North Sumatra Batak Ulos Based on Ethnicity Using Convolutional Neural Network Algorithm Approach Kiswanto, Dedy
Journal of Informatics and Data Science Vol 3, No 1 (2024): JUNE 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/j-ids.v3i1.60388

Abstract

Ulos is a piece of cloth produced through a weaving process that reflects a rich cultural heritage and has high value. The patterns contained in woven ulos often contain philosophical meanings, reflecting the traditional values, beliefs and history of the communities that produce them. However, in reality there are still many Batak young men and women and the general public who are not yet able to distinguish between types of ulos. This research aims to help identify types of uos with the hope of providing deeper insight into the diversity of ulos based on ethnicity in North Sumatra. The dataset used in this research consists of 600 datasets which are divided into 6 types of ulos. Before the classification process is carried out, the data is cleaned through data preprocessing by cropping the image data to produce the same image data size. The research results show a classification accuracy rate of 96%. This finding confirms that the Convolutional Neural Network (CNN) method can be applied to classify ulos based on ethnicity. This has important implications in increasing understanding and appreciation of the traditional arts of the Batak tribe and supporting efforts to preserve this valuable cultural heritage
Classification of North Sumatra Batak Ulos Based on Ethnicity Using Convolutional Neural Network Algorithm Approach Kiswanto, Dedy
Journal of Informatics and Data Science Vol. 3 No. 1 (2024): JUNE 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/j-ids.v3i1.60388

Abstract

Ulos is a piece of cloth produced through a weaving process that reflects a rich cultural heritage and has high value. The patterns contained in woven ulos often contain philosophical meanings, reflecting the traditional values, beliefs and history of the communities that produce them. However, in reality there are still many Batak young men and women and the general public who are not yet able to distinguish between types of ulos. This research aims to help identify types of uos with the hope of providing deeper insight into the diversity of ulos based on ethnicity in North Sumatra. The dataset used in this research consists of 600 datasets which are divided into 6 types of ulos. Before the classification process is carried out, the data is cleaned through data preprocessing by cropping the image data to produce the same image data size. The research results show a classification accuracy rate of 96%. This finding confirms that the Convolutional Neural Network (CNN) method can be applied to classify ulos based on ethnicity. This has important implications in increasing understanding and appreciation of the traditional arts of the Batak tribe and supporting efforts to preserve this valuable cultural heritage
Co-Authors Abdi Azzaki G, Fikri Abid Syuja, Muhammad Adidtya Perdana, Adidtya Adventino Gulo, Steven Afiati Nasution, Nadrah Afiq Alghazali Lubis Afrrahman S. Effendi, Ali Agi Berutu, Iwan Ahmad Fahrezi, Bryan Akbar, Muhammad Budi Al-Kautsar, Muhammad Zidane Alvansyah, Oka Amanah, Fadilla Andreas Sinabariba, Ade Anggraini Yolandari, Nezza Ardani Achmad Ashillah, Salma Asro Harahap, Fatimah Audy Priscilia, Selfi Aulia Artika, Delvita Auzi, Sybil Azima Lubis, Fauzan Azis, Khildan Rifail Azis, Zainal Azzahra, Dita Putri Berutu, Iwan Agi Bonifasius Simbolon, Aldo Br Hutagalung, Fhadillah Citra Hasiana Rajagukguk, Gloria Davina, Sherly Dealva Arsyad, Thania Defiyanti, Aqilah Dewi Lestari Drilanang, Mhd Ilyasyah Dwi Febrianti, Bunga Evanthe, Hansel Evanthe, Hansel Valent Farezi, Nazwar Fitra, Muhammad Rizki Andrian Gaol, Anwar Shaleh Lbn Hafika, Rizky Ananda Halawa, Sovantri Putra Paskah Hanafiah Hanafiah Harahap, Fatima Asro Hasibuan, Muhammad Alby Savana Hatoguan, Idris Putra Heppy Ria Sibarani, Ronasip Hermawan Syahputra Hidayat, M Fauzan Human Sukma, Ayman Hutabarat, Felix John Pardamean Hutagalung, Fhadillah Br Ichwanul Muslim Karo Karo Insan Pratama Siagian, Raihan Jehian, Neysa Talitha Jibran Muzakki Khan, Adhevta Josua Pinem Juliana Silalahi, Feby Khoiriah, Najwatul Latifah Hasibuan, Najwa Lubis, Ardilla Syahfitri Lubis, Fauzan Azima M.Pd., Zulherman Malau, Mei Lammi Manik, Albert Ramadhan Manik, Kristin Impana Maulida Surbakti, Nurul Melly Br Bangun Muhammad Agus Syaputra Lubis Muslim Sinaga, Rizal Musyaafa, Muhammad Naufal Nababan, Sirus Daniel Nasution, Adzkia Nasution, Afifah Naila Nasution, Aurela Khoiri Nasution, Siti Ananda Nezza Anggraini Yolandari Nurul Maulida Surbakti Panggabean, Suvriadi Parapat, Gerhard Hasangapon Pebiana Putri, Fahra Prana Walidin, Adamsyach Pratama, Ega Purba, Jogi Putra Paskah Halawa, Sovantri Putri Handayani Simbolon, Agata Putri Syaifullah, Sarah Putri, Fahra Pebiana Putri, Rezkya Nadilla Rabiah Adawi Raffi Akbar Tanjung, Muhammad Rajagukguk, Gloria Citra Hasiana Ramadhani, Fanny Rifail Azis, Khildan Rizki Andrian Fitra, Muhammad S., Yohana Lorinez Safitri, Eli Safrida Napitupulu Sapta Warman Zai, Tri Sembiring, Febe Gracia Shaleh Lbn Gaol, Anwar silalahi, evelyn keisha Simanullang, Paskah Abadi Sinaga, Rizal Muslim Singgam, Pritiy Siregar, Dean Siregar, Ririn Amelia BR Sitanggang, Yoseph Christian Sitepu, Ahmad Denil Sitepu, Keysa Shifa Adwitia Siti Mamduhah siti wulandari Situmorang, Romatua SM Sidabutar, Yusiva Sri Dewi Sukma, Ayman Human Suryaningsih, Embun Syahri, Alfin Syukron, Ananda Irya Shakila Talitha Jehian, Neysa Tambunan, Vivielda Farmawaty Tua Halomoan Harahap, Tua Halomoan Valentino, Bob Vincentius Manurung, Enriko Wahyudi, Rizky Wardhana, Riyan Waruwu, Stefen Agus Yusuf Al-Hafiz, Ahmad Zai, Tri Sapta Warman Zidane Al-Kautsar, Muhammad Zulfahrizan, Atta Zulfi, M. Fikri