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Journal : Journal of Engineering and Information Technology for Community Service

Perancangan Desain Kemasan Produk UMKM Sikop Arrum Batik Bandar Lampung M. Ghufroni An’ars; Nirwana Hendrastuty; Damayanti Damayanti; Ade Dwi Putra
Journal of Engineering and Information Technology for Community Service Vol 2, No 1 (2023): Volume 2, Issue 1, Juli 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jeit-cs.v2i1.268

Abstract

Desain kemasan yang menarik dapat memengaruhi keputusan pembelian konsumen, terutama ketika produk tersebut menawarkan nilai tambah yang khusus dan berbeda dari produk sejenis. Hal ini terlihat jelas pada produk batik, di mana desain kemasan dapat mempertegas nilai keunikan dan budaya lokal yang terkandung dalam karya batik tersebut. Dalam konteks ini, program pengabdian yang difokuskan pada perancangan desain kemasan untuk UMKM Sikop Arrum Batik Tulis di Bandar Lampung sangatlah relevan dan penting. Tujuan utama dari kegiatan ini adalah menciptakan kemasan batik kelas premium yang lebih menonjolkan keunikan produk batik yang dijual, sehingga mampu menarik perhatian konsumen dan meningkatkan penjualan. Selain itu, hasil dari kegiatan ini juga menunjukkan adanya peningkatan pemahaman mitra terkait kesadaran merek dan memfokuskan pemasaran pada target pasar tertentu, sehingga memperkuat posisi merek Sikop Arrum Batik di pasar dan meningkatkan daya saing produk di masa depan
Pelatihan Pembuatan Company Profile Bagi Siswa SMK Gajah Mada Damayanti Damayanti; Erliyan Redy Susanto; M. Ghufroni An'ars; Nirwana Hendrastuty; Wisnu Mukti Dwiyudho Putro; Fitrah Amalia Rahmadianti
Journal of Engineering and Information Technology for Community Service Vol 2, No 1 (2023): Volume 2, Issue 1, Juli 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jeit-cs.v2i1.270

Abstract

− Currently, digital information technology has an important role in all fields, including education. The existence of Information Technology makes it easy to carry out all activities in institutions and schools. Gajah Mada Vocational School is one of the schools in the Bandar Lampung region. Gajah Mada Vocational School in Bandar Lampung has a vision that is to want its graduates to become professionals who can be absorbed by the business and industrial world. This activity was carried out with the aim of providing knowledge and skills for students in making a company profile. The skills possessed are expected to become graduates who can channel knowledge and skills in making a company profile in the world of work
Pangenalan penggunaan Data Science untuk melakukan Analisis Sentimen di SMAN 1 Tanjung Bintang Nirwana Hendrastuty; m. ghufroni an'ars; Damayanti Damayanti; Fitrah Amalia; 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.v2i1.316

Abstract

Currently, various groups and ages, almost all Indonesian people own and use social media as a means of obtaining and conveying information to the public. This is an opportunity for data scientists to carry out sentiment analysis on topics or opinions conveyed by the public. Sentiment analysis is used to find out whether the opinion or post has a positive, negative or neutral meaning. Unfortunately there are still many students who do not know this. From these problems the servant team provides a solution to conduct data science training, especially in sentiment analysis of public figures. 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 an increase in understanding of data science, especially sentiment analysis, was an average of 1.8, previously students got an average pre-test of 5.1 and a post-test of 6.9.
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
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