{"title":"Live Streaming TikTok Sebagai Strategi Komunikasi Pemasaran Pada Brand Skincare","authors":"Delicia Regina Jacob","doi":"10.35870/jtik.v8i2.1613","DOIUrl":"https://doi.org/10.35870/jtik.v8i2.1613","url":null,"abstract":"Penelitian ini menyelidiki penggunaan live streaming TikTok sebagai strategi komunikasi pemasaran kreatif dalam industri perawatan kulit. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan landasan teori komunikasi pemasaran dan konsep media baru. Melalui wawancara dan diskusi kelompok terfokus, penelitian ini mengeksplorasi bagaimana merek perawatan kulit “Skintific” memanfaatkan fitur live streaming TikTok untuk memperluas pasar dan meningkatkan penjualan. Hasil penelitian menunjukkan bahwa Skintific berhasil mengintegrasikan live streaming dengan bauran komunikasi pemasaran, seperti periklanan, promosi, penjualan pribadi, dan pemasaran langsung, sehingga menciptakan interaksi yang berdampak positif kepada audiens. Temuan ini menggarisbawahi pentingnya beradaptasi dengan tren baru di media sosial sebagai bagian integral dari strategi pemasaran yang efektif. Implikasi praktis dari penelitian ini adalah memberikan wawasan bagi para praktisi pemasaran dalam mengoptimalkan live streaming sebagai alat komunikasi yang ampuh dan berdampak dalam pemasaran modern. Kesimpulannya, penggunaan live streaming TikTok merupakan strategi yang potensial dan relevan untuk meningkatkan keterlibatan konsumen dan memperluas jangkauan pasar merek perawatan kulit dan industri sejenis. Dengan memanfaatkan fitur-fitur baru di TikTok, seperti live streaming, penyesuaian penjualan personal, pendekatan komunikasi yang relevan, click-to-action yang efektif, tata letak produk, harga yang tepat, dan diskon, Skintific mencatatkan pertumbuhan yang signifikan dari tahun 2021 hingga saat ini.","PeriodicalId":474679,"journal":{"name":"Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)","volume":"19 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140775207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementasi Algoritma Long Short-Term Memory dalam Prediksi Konsentrasi Gas Metana (CH4) di Kota Salatiga","authors":"Febyola Kurnia Tiara Putri, Alz Danny Wowor","doi":"10.35870/jtik.v8i2.1917","DOIUrl":"https://doi.org/10.35870/jtik.v8i2.1917","url":null,"abstract":"Implementation of the Long Short Term Memory (LSTM) algorithm is done to build a prediction model that can handle complex time series data. Model development uses training and testing data and combines multiple time series to improve prediction accuracy. Model testing is done by measuring the root mean square error (RMSE) value as a performance indicator. The test results show that the application of the LSTM algorithm to the (CH4) sensor provides an optimal RMSE value, namely with a value for training data of 20% (0.09) and test data of 80% (0.14), indicating the prediction accuracy of methane gas (CH4) concentration is potentially unexploded, the results obtained have important implications for safety monitoring. This test contributes to the development of predictive methods to monitor and manage potential risks associated with (CH4) concentrations. The application of LSTM to (CH4) sensors not only improves prediction accuracy but also opens up opportunities for the development of safety systems that can more effectively predict and prevent potentially harmful phenomena due to methane gas.","PeriodicalId":474679,"journal":{"name":"Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)","volume":"82 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140792953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aplikasi Laporan, Berita Jurnalis, Pada Surat, Kabar Harian, Sumut Pos, Medan Menggunakan, Kodular Muhamad, Miana Sweety, Jaffar Rayhannur, Miftahul Jannah Toar
{"title":"Aplikasi Laporan Berita Jurnalis Pada Surat Kabar Harian Sumut Pos Medan Menggunakan Kodular","authors":"Aplikasi Laporan, Berita Jurnalis, Pada Surat, Kabar Harian, Sumut Pos, Medan Menggunakan, Kodular Muhamad, Miana Sweety, Jaffar Rayhannur, Miftahul Jannah Toar","doi":"10.35870/jtik.v8i2.1947","DOIUrl":"https://doi.org/10.35870/jtik.v8i2.1947","url":null,"abstract":"Various new print media have emerged in Indonesia with the same aim of providing complete information to the public. Current technology makes it easy for the journalism sector to use it as a means of conveying news information easily. Journalists as news content producers. Recording each member's journalistic activities is one of the journalist's duties in making news. Journalistic activity records are one of the main materials in consideration for making news. There are several stages of the waterfall model, namely: Requirements analysis, system design, coding, application testing, program implementation. The purpose of data analysis is to make it easier to design information in a system. There is some data used in creating an information system for journalists' daily reports in the North Sumatra Post daily newspaper, such as data analysis. This application can also make it easier for the North Sumatra Medan Post Office to monitor and manage journalists' news data. Equipped with a login application, security can be guaranteed from use by unauthorized people","PeriodicalId":474679,"journal":{"name":"Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)","volume":"31 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140771579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Penerapan Metode Quality of Service (QoS) dalam Analisis Kualitas Jaringan Internet Burjo Pantry Semarang","authors":"B. Pamungkas, F. Sutanto","doi":"10.35870/jtik.v8i2.1932","DOIUrl":"https://doi.org/10.35870/jtik.v8i2.1932","url":null,"abstract":"The rapid progression of technology enables humans to exchange data and communicate remotely, eliminating the need for face-to-face interactions. The internet network, a product of this technological advancement, undergoes evaluation through the Quality of Service (QoS) method, which measures network service quality. This research focuses on assessing the internet network quality at Burjo Pantry in Semarang, utilizing a quantitative approach with a Quality of Service analysis. The throughput results reveal 1682Kbps in the terrace area and 7266Kbps indoors at Burjo, both categorized as 'very good.' Likewise, the delay, with 128,75ms in the terrace and 145ms indoors, falls into the 'very good' category. Both areas exhibit excellent jitter: 1,77ms for the terrace and 26,46ms indoors. Packet loss is minimal, with 1,73% in the terrace area and 0,68% indoors, both considered 'very good.' Overall, the study indicates the commendable quality of the internet network at Burjo Pantry in Semarang.","PeriodicalId":474679,"journal":{"name":"Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)","volume":"52 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140788268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analisis Cluster dengan K-Means untuk Pengelompokan Kabupaten/Kota di Provinsi Jawa Timur Berdasarkan Pembangunan TIK Tahun 2021-2022","authors":"Rahmatina Hidayati, Luthfi Indana, Mochamad Yusuf Setiya Putra, Redoti Zulfikar Sasongko","doi":"10.35870/jtik.v8i2.1815","DOIUrl":"https://doi.org/10.35870/jtik.v8i2.1815","url":null,"abstract":"Badan Pusat Statistik Nasional sudah mengelompokkan IP-TIK berdasarkan provinsi dalam 4 kategori (tinggi, sedang, rendah, dan sangat rendah). Namun rincian IP-TIK di masing-masing provinsi belum dijelaskan detail berdasarkan Kota atau Kabupaten. Provinsi yang dipilih adalah Jawa Timur. Pada provinsi tersebut, Indeks Pembangunan Manusia (IPM)-nya berada pada tingkat tinggi, namun sebarannya terjadi ketimpangan. Ppenelitian ini bertujuan untuk menggali informasi apakah ada kesenjangan pembangunan TIK dengan pendekatan data mining yakni pengelompokan. Hal ini supaya pemerintah Provinsi Jawa Timur lebih menfokuskan pembangunan TIK pada tingkatan rendah. Metode yang digunakan adalah k-Means dengan perhitungan jarak Euclidean. Hasil kelompok terbanyak berada pada cluster 2 yang menandakan tingkat IP-TIK di provinsi Jawa Timur rata-rata sedang. Ketimpangan kelompok terjadi pada cluster 4 untuk variabel RT memiliki komputer yang mana nilai minimumnya 2,26 dan maksimumnya 11,75. Yang termasuk pada cluster 4 (kategori rendah) antara lain Kab. Pacitan, Kab. Lumajang, Kab. Probolinggo, Kab. Bangkalan, Kab. Sampang, dan Kab. Pamekasan.","PeriodicalId":474679,"journal":{"name":"Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)","volume":"225 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140756473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Sjoraida, Bucky Wibawa Karya Guna, Dudi Yudhakusuma
{"title":"Analisis Sentimen Film Dirty Vote Menggunakan BERT (Bidirectional Encoder Representations from Transformers)","authors":"D. Sjoraida, Bucky Wibawa Karya Guna, Dudi Yudhakusuma","doi":"10.35870/jtik.v8i2.1580","DOIUrl":"https://doi.org/10.35870/jtik.v8i2.1580","url":null,"abstract":"Penelitian ini bertujuan untuk melakukan analisis sentimen terhadap ulasan film \"Dirty Vote\" dari berbagai sumber, seperti media sosial, situs web ulasan film, dan forum online, dengan menggunakan model BERT yang telah di-fine-tuning. Pendekatan ini melibatkan pengumpulan data ulasan, pre-processing data, fine-tuning model BERT, dan evaluasi kinerja model. Hasil penelitian menunjukkan bahwa model BERT mencapai tingkat kinerja yang tinggi dengan akurasi, presisi, recall, dan F1-score yang melebihi ambang batas 0.8 pada dataset validasi. Analisis sentimen dari berbagai sumber mengungkapkan variasi dalam opini publik terhadap film \"Dirty Vote\", dengan perbedaan yang signifikan dalam sentimen yang diekspresikan melalui media sosial seperti Twitter dan Facebook dibandingkan dengan ulasan dari situs web khusus atau forum online. Selain itu, diskusi temuan analisis sentimen mengungkapkan preferensi masyarakat terhadap aspek-aspek tertentu dari film, seperti efek visual dan musik. Temuan analisis sentimen mengungkapkan bahwa efek visual dan musik mendapat penilaian tertinggi dari masyarakat, sementara pemeran dan sutradara mendapat penilaian yang lebih rendah. Informasi ini dapat digunakan oleh para pembuat film untuk memperbaiki aspek-aspek yang kurang memuaskan dalam produksi film selanjutnya.","PeriodicalId":474679,"journal":{"name":"Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)","volume":"260 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140762321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analisis Keamanan Website SIASAT Menggunakan Teknik Footprinting dan Vulnerability Scanning","authors":"Alvin Kendek Allo, I. R. Widiasari","doi":"10.35870/jtik.v8i2.1723","DOIUrl":"https://doi.org/10.35870/jtik.v8i2.1723","url":null,"abstract":"Universitas Kristen Satya Wacana (UKSW) merupakan salah satu perguruan tinggi swasta di Indonesia yang secara aktif memanfaatkan teknologi internet dan situs webnya untuk mendukung kegiatan akademik dan non akademik. SIASAT (Sistem Informasi Akademik Satya Wacana) menyediakan informasi penting secara rahasia kepada civitas atau menjadikan informasi tersebut hanya dapat diakses oleh pengguna yang memiliki akun. Terkait dengan keamanan, SIASAT pernah mengalami kendala, ancaman seperti SQL Injection, brute force, dan lain sebagainya yang masih sering terjadi. Permasalahan yang terkait dengan keamanan dan kerahasiaan data baik itu dalam jaringan komputer adalah Privacy (kerahasiaan) data itu harus dijauhkan dari pihak yang tidak berhak. Integrity (integritas) menjaga bahwa informasi yang terkirim tetap utuh atau tanpa mengalami perubahan. Authenticity (keaslian) merupakan prosedur untuk mengetahui bahwa pengguna benar-benar berwenang untuk mengakses suatu sistem. Authenticity bisa berupa password, PIN, sidik jari, atau identitas lainnya. Non-repudiation (pembuktian yang tak bersangkal) merupakan pembuktian untuk menjaga user bahwa ia telah melakukan akses penuh terhadap layanan yang digunakan dalam suatu sistem. Suatu sistem dapat dikategorikan tidak aman jika isu-isu diatas tidak dapat terpenuhi. Oleh karena itu, dengan menggunakan teknik Footprinting dan vulnerability scanning, dapat dilakukan analisis terhadap Website SIASAT untuk mengatasi permasalahan tersebut. Penelitian ini dilakukan dengan pendekatan ethical Hacking, dengan penekanan pada tahap Footprinting dan vulnerability scanning. Hasil penelitian ini telah menemukan informasi terkait Website SIASAT dan beberapa peringatan kerentanan setelah dilakukan pemindaian dengan tingkat risiko tinggi hingga rendah","PeriodicalId":474679,"journal":{"name":"Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)","volume":"442 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140763789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rancang Bangun Aplikasi Deteksi Alat Pelindung Diri (APD) untuk Pekerja Proyek dengan Menggunakan Algoritma Yolov5","authors":"Muhamad Alfin Taufiqurrochman, Herny Februariyanti","doi":"10.35870/jtik.v8i2.1960","DOIUrl":"https://doi.org/10.35870/jtik.v8i2.1960","url":null,"abstract":"The risk of work accidents that can be experienced by project workers is very high in the world of construction. This can be caused by behavioral factors, one of which is project workers' indiscipline in wearing Personal Protective Equipment (PPE), which can endanger the personal safety of project workers. By utilizing Artificial Intelligence technology, with the computer vision domain, researchers created a PPE detection application using the YoloV5 algorithm. The stage of creating this detection application starts from the process of problem scoping, data acquisition, data exploration, modeling, evaluation and deployment. The dataset used in making this application was taken from Saravana Alagar via Google Drive, covering 4 PPE objects, namely helmets, masks, vests and shoes. By conducting a training dataset of 100 epochs, the percentage results given were very good, namely helmets 96%, vests 96%, masks 95%, and shoes 92%. It is hoped that making this application can minimize cases of work accidents that occur in the project worker area and can increase discipline in using project PPE","PeriodicalId":474679,"journal":{"name":"Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)","volume":"83 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140766719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analisis Sentimen Ulasan Aplikasi Smart Campus Unisbank di Google Playstore Menggunakan Algoritma Naive Bayes","authors":"Dwi Rahma Firmansyah, E. Lestariningsih","doi":"10.35870/jtik.v8i2.1882","DOIUrl":"https://doi.org/10.35870/jtik.v8i2.1882","url":null,"abstract":"This study explores sentiment analysis on SmartCampus Unisbank application reviews on Google Play Store using the Naive Bayes classification method. Through Python programming language and web scraping techniques employing the google-play-scraper library, review data was automatically obtained and organized in CSV format. Text preprocessing techniques such as case folding, stopwords removal, tokenization, and stemming were applied to ensure accurate analysis. The data was divided into training and testing sets, and TF-IDF (Term Frequency-Inverse Document Frequency) was used for feature extraction. A Naive Bayes model was constructed and evaluated, achieving an accuracy of 84.6%. While the model demonstrated proficiency in identifying negative sentiments with 100% precision, it requires refinement for recognizing positive sentiments. These findings provide valuable insights for SmartCampus Unisbank developers to understand user perspectives and improve application quality","PeriodicalId":474679,"journal":{"name":"Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)","volume":"493 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140778985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}