Garuda - Garba Rujukan Digital

Pendampingan Pembuatan Video Produk VCO pada UMKM Bali Cebelok Gesiuh Januhari, Ni Nyoman Utami; Hilmi, Muhammad Riza; Srinadi, Ni Luh Putri; Suradarma, Ida Bagus; Kusuma, Tubagus Mahendra; Liandana, Made
WIDYABHAKTI Jurnal Ilmiah Populer Vol. 6 No. 1 (2023): Nopember
Publisher : Direktorat Penelitian, Pengabdian Masyarakat, dan HKI Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/widyabhakti.v6i1.385

Virgin coconut oil (VCO) adalah minyak kelapa yang diekstraksi dari buah kelapa. Proses pembuatan VCO memerlukan waktu hingga dapat dikonsumsi atau layak pakai secara langsung. Salah satu UMKM yang memproduksi VCO di daerah Tegallalang, Banjar Pujung Kaja adalah Bali Cebelok Gesiuh Coconut Oil Organic. Usaha ini telah berjalan selama 10 tahun sejak tahun 2012 dan hingga saat ini masih bisa memproduksi VCO. Selain memproduksi VCO, UMKM juga membuka kursus membuat VCO bagi wisatawan. Hasil kunjungan ke UMKM, ditemukan permasalahan dalam hal pemasaran produk yaitu adanya keterbatasan pengenalan proses pembuatan produk VCO. Kelas kursus yang dibuka untuk wisatawan hanya berlaku dalam satu hari, sehingga wisatawan memerlukan bahan pembelajaran yang menarik dalam bentuk video pembelajaran. Sehingga berdasarkan permasalahan dan kondisi di UMKM, dalam kegiatan pengabdian kepada masyarakat dilaksanakan pendampingan pembuatan video produk VCO bagi UMKM. Pelaksanaan kegiatan diawali dengan persiapan bahan pembuatan VCO, proses perekaman video pembuatan VCO dan perekaman video profil dari pemilik UMKM. Hasil kegiatan pengabdian adalah berupa video dokumentasi pembelajaran pembuatan VCO dengan video yang naratif. Video ini bermanfaat untuk UMKM, yang nantinya dapat diberikan kepada wisatawan yang ikut kursus sebagai bahan pembelajaran pembuatan VCO secara mandiri.

Optimalisasi Digital Marketing dan Pemanfaatan Spreadsheet (Laporan Keuangan) pada Sanggar Taksana Br. Tengah Sesetan Januhari, Ni Nyoman Utami; I Ketut Pasek Wisuda; Ni Nyoman Supuwiningsih; Joko Santoso; Putu Angga Putra Rondan; I Gede Giri Panti Wijaya
WIDYABHAKTI Jurnal Ilmiah Populer Vol. 7 No. 1 (2024): Nopember
Publisher : Direktorat Penelitian, Pengabdian Masyarakat, dan HKI Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/widyabhakti.v7i1.416

Penggunaan media sosial dianggap sebagai strategi yang efektif dan efisien untuk pemasaran digital karena dapat mengurangi biaya publikasi produk atau layanan. Salah satu penggunaan media sosial yang dapat digunakan sebagai media digital marketing adalah Facebook. Sanggar Seni Taksu Sari Nadi (Taksana) yang beralamat di Br. Tengah Sesetan Denpasar-Bali, merupakan salah satu sanggar seni yang membutuhkan media pemasaran untuk mengenalkan kegiatan Seni Bali baik seni tari maupun seni tabuh ke khalayak umum agar diketahui dan diminati oleh generasi muda. Permasalahan yang ditemui pada Sanggar Taksana antara lain: adanya keterbatasan pengetahuan dalam proses pemasaran berbasis digital dan adanya keterbatasan penggunaan teknologi dalam penggunaan komputer dalam membuat laporan keuangan. Berdasarkan permasalahan tersebut, beberapa solusi yang dilakukan dan merupakan hasil dari pengabdian masyarakat antara lain dengan: pelatihan pembuatan digital marketing Sanggar Taksana. Pelatihan dan optimalisasi pemasaran Sanggar Taksana dengan menggunakan media sosial Facebook, sehingga pengenalan dan informasi seputar kegiatan seni pada Sanggar Taksana diketahui oleh umum dan menarik perhatian untuk mendaftar menjadi anggota sanggar. Kemudian hasil selanjutnya adalah memberikan pelatihan dan pendampingan pembuatan laporan keuangan Sanggar Taksana dengan spreadsheet. Kegiatan ini adalah pembuatan dan penggunaan laporan keuangan sanggar menggunakan program spreadsheet, harapannya selanjutnya pencatatan transaksi, pembukuan sanggar, menjadi lebih akurat dan proses akan lebih mudah dengan spreadsheet yang telah dibuat.

Implementasi keamanan informasi file dokumen shipping menggunakan algoritma AES Shipping Dharmendra, I Komang; Januhari, Ni Nym Utami; Ramayasa, I Putu; Putra, I Made Agus Wirahadi
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 1 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v7i1.1748

Opinion is an important part of decision making, so it takes the ability to get information from opinions. Sentiment Analysis is a branch of science from Text mining that can be used for opinion analysis in the form of text to classify opinions into 3 types of opinions, namely positive opinions, neutral opinions and negative opinions. Support Vector Machine (SVM) is one method that is widely applied for text mining because it is able to show good performance (Styawati and Mustofa, 2019). SVM works with a learning system that uses a hypothetical space in the form of linear functions in a high-dimensional feature space. Maximum Entropy is a probabilistic classification algorithm that belongs to the class of exponential models, which is based on the principle of Maximum Entropy. Maximum Entropy can be used to solve text classification problems such as Language detection, topic classification, and sentiment analysis. Sentiment analysis was tested using the Support Vector Machine (SVM) and Maximum Entropy methods to test the accuracy of each method in analyzing the sentiments of college alumni opinions. from the test results show Maximum Entropy has a better level of accuracy with the results of 95.45%

Visualisasi Data Opini Publik pada Media Sosial Twitter (Studi Kasus : Nusantara Sebagai IKN Indonesia) Dharmendra, Komang; Januhari, Ni Nym Utami; Diaz, Ricky Aurelius Nurtanto; Ramayasa, I Putu; Putra, I Made Agus Wirahadi
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 2 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar

The capital city has an important role for various aspects of government, the capital city has a function as the center of political power and the economy of a country. In the process, sometimes the head of government of a country moves the capital of the country, either moving it to an existing city or building a new city that was built specifically to become the capital of the country. Like what Indonesia did, which planned to move the country's capital, which was previously in Jakarta, moved to East Kalimantan and built a new city to become the nation's capital with the name Nusantara. The relocation of the capital city was carried out to divide the economic center and the government center which were previously centered in Jakarta into an economic center in Jakarta and a government center in the archipelago. The announcement of the name of Indonesia's new capital city received reactions from the public, with various written opinions being shared through social media. One of the social media channels that is widely used is Twitter. With so many public responses through social media, a process is needed to find out how to respond and form of expression for the announcement of the name of the capital city of the archipelago. One of the processes that can be done is to visualize tweets containing the word "Nusantara" which collected 83604 tweets using data on the number of tweets, posting hours, hashtags that can find out how the public responds to the announcement of the state capital "Nusantara"..

Implementasi keamanan informasi file dokumen shipping menggunakan algoritma AES Shipping Dharmendra, I Komang; Januhari, Ni Nym Utami; Ramayasa, I Putu; Putra, I Made Agus Wirahadi
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 1 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v7i1.1748

Opinion is an important part of decision making, so it takes the ability to get information from opinions. Sentiment Analysis is a branch of science from Text mining that can be used for opinion analysis in the form of text to classify opinions into 3 types of opinions, namely positive opinions, neutral opinions and negative opinions. Support Vector Machine (SVM) is one method that is widely applied for text mining because it is able to show good performance (Styawati and Mustofa, 2019). SVM works with a learning system that uses a hypothetical space in the form of linear functions in a high-dimensional feature space. Maximum Entropy is a probabilistic classification algorithm that belongs to the class of exponential models, which is based on the principle of Maximum Entropy. Maximum Entropy can be used to solve text classification problems such as Language detection, topic classification, and sentiment analysis. Sentiment analysis was tested using the Support Vector Machine (SVM) and Maximum Entropy methods to test the accuracy of each method in analyzing the sentiments of college alumni opinions. from the test results show Maximum Entropy has a better level of accuracy with the results of 95.45%

Visualisasi Data Opini Publik pada Media Sosial Twitter (Studi Kasus : Nusantara Sebagai IKN Indonesia) Dharmendra, Komang; Januhari, Ni Nym Utami; Diaz, Ricky Aurelius Nurtanto; Ramayasa, I Putu; Putra, I Made Agus Wirahadi
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 2 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar

The capital city has an important role for various aspects of government, the capital city has a function as the center of political power and the economy of a country. In the process, sometimes the head of government of a country moves the capital of the country, either moving it to an existing city or building a new city that was built specifically to become the capital of the country. Like what Indonesia did, which planned to move the country's capital, which was previously in Jakarta, moved to East Kalimantan and built a new city to become the nation's capital with the name Nusantara. The relocation of the capital city was carried out to divide the economic center and the government center which were previously centered in Jakarta into an economic center in Jakarta and a government center in the archipelago. The announcement of the name of Indonesia's new capital city received reactions from the public, with various written opinions being shared through social media. One of the social media channels that is widely used is Twitter. With so many public responses through social media, a process is needed to find out how to respond and form of expression for the announcement of the name of the capital city of the archipelago. One of the processes that can be done is to visualize tweets containing the word "Nusantara" which collected 83604 tweets using data on the number of tweets, posting hours, hashtags that can find out how the public responds to the announcement of the state capital "Nusantara"..

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