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All Journal Jurnal Buana Informatika JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Teknologi Informasi dan Ilmu Komputer Prosiding Semnastek Panrita Abdi - Jurnal Pengabdian pada Masyarakat Jurnal Akuntansi Jurnal Komputasi Jurnal Teknoinfo JURIKOM (Jurnal Riset Komputer) JURTEKSI Jurnal Tekno Kompak Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Data Mining dan Sistem Informasi Jurnal Ilmiah Infrastruktur Teknologi Informasi Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service Jurnal Telematics and Information Technology (TELEFORTECH) Journal of Engineering and Information Technology for Community Service Jurnal Ilmiah Edutic : Pendidikan dan Informatika Jurnal INFOTEL
Damayanti, Damayanti
Universitas Teknokrat Indonesia
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Pelatihan penggunaan Artificial Intelligence di SMAN 1 Tanjung Bintang Nirwana Hendrastuty; M. Ghufroni An’ars; Damayanti Damayanti; Samuel Hutagalung; Chris Mario; M. Tova
Journal of Engineering and Information Technology for Community Service Vol 2, No 2 (2023): Volume 2, Issue 2, October 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jeit-cs.v2i1.323

Abstract

Artificial intelligence is a part of computer science that studies how to make machines (computers) do jobs like and as well as humans, even better than what humans do. Artificial Intelligence is also often referred to as a science that studies how to make computers do things like humans do. Artificial intelligence is also an area of research, applications and instructions related to computer programming to do things, in the view of humans are intelligent. One of the artificial intelligence technologies is an expert system which is a computer program that can imitate the thought process and expert knowledge to solve a specific problem. The target of this activity is students of class XI and XII from SMAN 1 Tanjung Bintang. The implementation of community service for the assisted school scheme consists of three stages, namely, preparation, implementation and evaluation. The preparatory stage is carried out by carrying out a survey first to find out the problems experienced by partners and carry out an analysis to find solutions to these problems. From the results of the distribution of questionnaires in the training, it was found that there was an increased understanding of d the use of AI, especially in particular Chat GPT, with an average of 1.6, whereas previously students had an average pre-test of 4.0. and post-test of 5.6
SISTEM INFORMASI LAYANAN KANTOR URUSAN AGAMA (KUA) BERBASIS WEB (Studi Kasus : KUA Kecamatan Natar Lampung Selatan) Ayu Ningtiara; Donaya Pasha; Damayanti Damayanti
TELEFORTECH : Journal of Telematics and Information Technology Vol 4, No 1 (2023): TELEFORTECH VOL4, NO 1 (JULI 2023)
Publisher : Fakultas Teknik dan Ilmu Komputer, Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/tft.v4i1.3390

Abstract

Proses pelayanan administrasi yang diberikan kepada masyarakat seperti pencatatan pernikahan maupun rujuk yang dilakukan pada Kantor Urusan Agama pada Kecamatan Natar Lampung Selatan dengan pelayanan seperti proses pendaftaran,  permohonan nikah atau permohonan rujuk, diketahui bahwa proses tersebut masih dilakukan secara konvensional, yaitu pemohon harus datang ke kantor KUA untuk mengisi formulir pendaftaran dan melengkapi dokumen persyaratan yang telah ditentukan, seperti surat pengantar, surat keterangan untuk menikah model N1 sampai N4. Pelayanan yang masih belum sepenuhnya terakomodir dalam satu sistem pelayanan seperti laporan pelayanan pendaftaran nikah dan rujuk yang dilakukan secara manual atau langsung dapat menimbulkan banyak  persoalan  yang  terjadi.Metode yang digunakan yaitu  Extreme Programming dengan 4 tahapan seperti perencanaan, perancangan, pengkodean dan pengujian, metode tersebut digunakan memiliki keunggulan seperti sistem yang dihasilkan berorientasi objek, cepat dalam pengembangan dan mememerlukan desain yang sederhana.Hasil penelitian yaitu sistem yang telah dihasilkan mampu memberikan informasi pelayanan kepada masyarakat terkait data permohonan nikah dan rujuk secara elektronik, sehingga mampu mengurangi penggunaan media kertas serta arsip, maka sistem yang dibangun lebih menjadikan data permohonan lebih aman dan fleksibel. Berdasarkan sistem yang dihasilkan mempu memberikan informasi jadwal nikah secara efektif, karena terdapat proses validasi tanggal akad nikah yang telah disesuaikan dengan jadwal penghulu, jika terdapat tanggal akad yang sama maka akan muncul informasi tanggal akad sudah penuh. Sehingga pihak kua tidak perlu khawatir terkait jadwal akad yang bersamaan
Perancangan Teks Promosi UMKM Sikop Arrum Batik Menggunakan Program Berbasis AI ChatGPT M. Ghufroni An'ars; Nirwana Hendrastuty; Damayanti Damayanti; Ade Dwi Putra
Jurnal Pengabdian Kepada Masyarakat (JPKM) TABIKPUN Vol. 4 No. 1 (2023)
Publisher : Faculty of Mathematics and Natural Sciences - Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpkmt.v4i1.109

Abstract

Adanya teks promosi yang menarik adalah mutlak bagi pelaku usaha di era digitalisasi. Hal itulah yang mendorong tim PKM Universitas Teknokrat Indonesia untuk bermitra dengan Sikop Arrum Batik yang merupakan rumah produksi batik tulis khas Lampung. Selama berdiri sejak 2018 mitra telah menghasilkan karya batik motif dan teknik pewarnaan yang orisinal, tetapi mereka belum memiliki materi promosi serta website resmi yang bisa menjangkau pelanggan secara luas. Untuk itu pengabdian dilakukan untuk merancang teks promosi yang diterapkan di website. Proses perancangan dilakukan dengan bantuan aplikasi berbasis AI ChatGPT. Perancangan website-nya menggunakan situs penyedia website GoDaddy. Hasil dari pengabdian ini adalah terancangnya teks promosi dan website resmi perusahaan yang berfungsi sebagai media promosi serta digitalisasi transaksi jual beli produk.
SENTIMENT ANALYSIS OF PUBLIC OPINION ON SOCIAL MEDIA X TOWARDS ETHNIC ROHINGYA IN INDONESIA Ayu Amalia; Damayanti Damayanti
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 10, No 3 (2024): Juni 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i3.3079

Abstract

Abstract: Rohingya refugees continue to arrive in Aceh by sea by boat. Based on data from the United Nations High Commissioner for Refugees (UNCHR), as of December 10 2023, 1,543 Rohingya refugees had landed in Aceh since mid-November 2023. The increasing number of refugees arriving has caused resistance from local residents. This rejection was the result of the bad experiences of Acehnese people with Rohingya refugees. The main problem of this research is that analyzing public opinion on Rohingya ethnicity in Indonesia is still done manually by looking at tweets one by one. The solution to overcome this is to analyze opinions using data crawling with the Naïve Bayes algorithm. The purpose of this research is to determine public opinion on Twitter media regarding refugee refugees. The method used in this research is the Naïve Bayes algorithm method. The results of the research show that the Naïve Bayes algorithm can classify public opinion sentiment on Twitter social media towards the Rohingya Ethnic in Indonesia into positive sentiment. and negative with a total accuracy of 70%. So, the words "Rohingya Ethnicity in Indonesia" tend to be accepted by the X community with the arrival of Rohingya refugees in Indonesia.            Keywords: rohingya; twitter; naïve bayes; opinion  Abstrak: Pengungsi Rohingya terus berdatangan ke Aceh melalui jalur laut dengan menggunakan perahu. Berdasarkan hasil data United Nations High Commissioner for Refugees (UNCHR), per 10 Desember 2023 sebanyak 1.543 pengungsi Rohingya datang ke dalam wilayah Aceh. Meningkatnya jumlah pengungsi yang datang menimbulkan perlawanan dari warga setempat. Penolakan ini imbas dari pengalaman buruk warga Aceh terhadap pengungsi Rohingya. Permasalahan utama penelitian ini yaitu menganalisis opini publik terhadap Etnis Rohingya di Indonesia masih secara manual dengan melihat tweet satu persatu. Solusi mengatasi hal tersebut maka analisis opini menggunakan crawling data dengan algoritma Naïve Bayes. Tujuan penelitian ini untuk mengetahui opini publik pada media twitter terkait pengungsi Rohingya. Metode yang digunakan dalam penelitian ini yaitu metode algoritma Naïve Bayes. Hasil penelitian menunjukan bahwa pada algoritma Naïve Bayes dapat mengklasifikasikan sentimen dengan total akurasi 70%. Maka “Etnis Rohingya di Indonesia” cenderung dapat diterima oleh masyarakat X dengan datangnya pengungsi Rohingya di Indonesia. Kata kunci: rohingnya; twitter; naïve bayes; opini 
Combination of Multi-Objective Optimization on The Basis of Ratio Analysis and ROC in The Selection of Extracurricular Activities Dyah Ayu Megawaty; Damayanti Damayanti; Adella Widiyanti; Setiawansyah Setiawansyah
JURNAL INFOTEL Vol 16 No 2 (2024): May 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i2.1108

Abstract

The selection of extracurricular activities for students often involves several challenges and problems. Some problems in the selection of extracurricular activities include limited time, interests and talents, limited facilities and infrastructure, and awareness of choices. Problems in the selection of extracurricular activities include limited time, interests and talents, limited facilities and infrastructure, and awareness of choices. The purpose of this study is to provide recommendations for a decision support system model for students in the selection of extracurricular activities by applying the ROC method as a method of weighting criteria and the MOORA method as an alternative ranking tool for extracurricular activities that become recommendations for students. The combination of MOORA and Rank Order Centroid (ROC) methods is an approach that can be used in complex multi-criteria decision analysis. This method combines the strengths of both methods to provide more comprehensive and effective solutions in decision-making. The results of the study on the selection of extracurricular activities using a combination of MOORA and ROC methods, recommendations for extracurricular activities for Futsal extracurricular activities with a value of 0.444 as recommendations based on the final calculation results with the MOORA method got rank 1, for rank 2 recommended extracurricular activities Basketball with a final value of 0.437, and rank 3 recommended extracurricular activities Karate with a final value of 0.426.
Co-Authors ., Rusliyawati aan setiawan Ade Dwi Putra Ade Dwi Putra Ade Putra Adella Widiyanti Adi Sucipto, Adi Ady Candra Nugroho Agung Tri Prastowo Ahmad Ari Aldino Aldi Bagus Prasetyo Alfiah Alfiah Algho Niyu Behainksa Amdi Rizal Ana Loria Andi Nurkholis Andre Wijaya Anton Mahendra Anton Mahendra Arfinia Rahma Ari Sulistyawati Arief Budiman Ayesha Ziky Iftikhor Ayu Amalia Ayu Febriani Bahtiar Ayu Febriyani Bachtiar Ayu Ningtiara Berlintina Permatasari Chris Mario Clarisa Armanda Fernandis Creani Handayani Dani Saputra Dedi Darwis Desi Oktarina Devita Tri Yulianti Dian Novita Dian Widiarti Dimas Elang Setyoko Donaya Pasha Donaya Pasha Dyah Ayu Megawaty Erliyan Redi Susanto Erliyan Redi Susanto Erliyan Redy Susanto Fitrah Amalia Fitrah Amalia Rahmadianti Habib Rizky A.Siregar Heni Sulistiani Ida Nurwanti Imam Ahmad Joni Alfian Jupriyadi, Jupriyadi Leny Meilisa M Ghufroni An'ars M Ghufroni An’ars M. Ghufroni An'ars M. Ghufroni An'ars M. Ghufroni An’ars M. Tova M.Ghufroni An'ars Maulana Aziz Assuja Miswanto Miswanto Mohamad Ghazi Rio Muhammad Al Kahfi Masputra Muhammad Alfarizi Muhammad Bakri Muhammad Fadil Akbar Muhammad Fitratullah Muhammad Yusuf Hernandez Nadia Aftirah Nina Nirmalasari Nirwana Hendrastuty Novia Agus Mila Pahlewi, Anita Diah Pangestu Agung Prabowo Prabowo Priliyani Hana Primawan Adrian Sitinja Putri Lestari Rifki Yudiantara Rifli Yanto Rohmat Indra Borman Rubiyah Rubiyah S. Samsugi Samuel Hutagalung Sefrizal Nata Prawira Setiawansyah Setiawansyah Siti Hotijah suaidah suaidah Tiara Azizul Andika Tri Widodo Wahyudi, Agung Deni Warnars, Harco Leslie Hendric Spits Wisnu Mukti Dwiyudho Putro Wiwid Ayu Nisa Wulandia Wulandia Lestari Yeni Anggraini Yohanes Aji Pratama Yuri Rahmanto Zakaria Sani Assubhi Zurfah Muzrifah