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All Journal Communicatus: Jurnal Ilmu Komunikasi KOMUNIKA JMM (Jurnal Masyarakat Mandiri) ILKOM Jurnal Ilmiah Mediakom : Jurnal Ilmu Komunikasi Abdimasku : Jurnal Pengabdian Masyarakat KomunikA Caraka : Indonesia Journal of Communication Journal of Peasants' Rights BroadComm Journal of Communication Studies and Society CONTENT: Journal of Communication Studies
Ohorella, Noviawan Rasyid
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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A Deep Learning Approach for Tourism Destination Recommendation Using IndoBERT and TF-IDF Silfianti, Widya; Syah, Rama Dian; Suhendra, Adang; Isra, Ali; Darmayantie, Astie; Ohorella, Noviawan Rasyid
ILKOM Jurnal Ilmiah Vol 17, No 3 (2025)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v17i3.3069.241-251

Abstract

The rapid development of information technology has transformed various sectors, including tourism, where recommendation systems play a vital role in providing personalized services. Tourists are often faced with a wide range of destination choices, making decision-making increasingly complex. To address this, Artificial Intelligence (AI) and Natural Language Processing (NLP) can be leveraged to enhance recommendation accuracy through deeper analysis of destination descriptions. This study proposes a tourism destination recommendation system combining IndoBERT, SimCSE, and TF-IDF methods. IndoBERT was applied to capture semantic and contextual meaning in the Indonesian language, SimCSE improved sentence-level embeddings, and TF-IDF extracted essential keywords from descriptions. The system was implemented on a website to generate personalized recommendations based on user input. Evaluation results demonstrated that the composition of IndoBERT and TF-IDF achieved strong performance, with precision, recall, and F1-score values of 1.0 at a similarity threshold of 0.20. However, higher thresholds reduced recall and F1-score, indicating that a lower threshold provided a better balance between accuracy and coverage. The recommendation outputs matched user preferences, and functional testing showed that all website features performed successfully. These findings highlight the effectiveness of combining semantic and keyword-based methods for tourism recommendation. Future work could expand the dataset, integrate user feedback, and benchmark against other state-of-the-art models to further enhance system performance.
Interpersonal Communication Consultation Of Doctors And Patients In The Whatsapp Media: (Study At Klinik Mitracheck) Rafi, Muammar; Ohorella, Noviawan Rasyid; Ritonga, Aulia Rahma; Wahyuni, Sri
CONTENT: Journal of Communication Studies Vol. 1 No. 02 (2023): Interpersonal Communication and Marketing Communication
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/cjcs.v1i02.14090

Abstract

The aim of this research is to find out how interpersonal communication is carried out in doctor consultations with patients via WhatsApp media. The method used in this research uses qualitative methods. The theory used in this research is Everret M Rogers' theory of diffusion of innovation which explains that society can accept communication technology as an innovation and spread it widely within that society. The research results show that in interpersonal communication between doctors and patients via WhatsApp media, health technology is a way to make their work more efficient. Currently the world is experiencing a digital era where all human activities use information technology. Almost all fields use information and communication technology for their respective interests, one of which is the health sector. Currently, interaction between patients and doctors no longer needs to be done directly—for minor illnesses—because of information technology. In this research, the author wants to know the effectiveness of using information technology, especially WhatsApp, in the consultation process for minor illnesses between doctors and patients at the Klinik Mitracheck. The author hopes that this research can determine the effectiveness of interpersonal communication felt by patients and doctors in using WhatsApp as a consultation medium.
The Utilization of Twitter in The Anticipation of Covid-19 Hoax News in Yogyakarta City Ohorella, Noviawan Rasyid
COMMUSTY Journal of Communication Studies and Society Vol. 2 No. 1 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/commusty.v2i1.4979

Abstract

The contemporary era of openness has exerted a significant influence on social media platforms, particularly Twitter. This is mostly due to the platform's ability to facilitate the expression of opinions and the rapid dissemination of news by individuals. The act of expressing opinions necessitates the inclusion of the need to substantiate the validity of the information being conveyed. Data-driven information can be substantiated and expressed. During the ongoing Covid-19 pandemic, a substantial amount of information pertaining to the coronavirus remains ambiguous or has yet to be definitively established. The prevalence of misinformation is on the rise due to individuals' acceptance and dissemination of false information without conducting thorough research to ascertain its veracity. Consequently, the dissemination of false coronavirus information on social media, particularly Twitter, has occurred.
SOSIALISASI UU ITE UNTUK MENCEGAH HOAX DALAM PEMILU 2024 Pratiwi, Nuning Indah; Kartika, Putu Angga Bagus; Satria, Wahyu Indra; Ohorella, Noviawan Rasyid
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 3 (2024): Juni
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i3.22403

Abstract

Abstrak: Kuliah Kerja Nyata (KKN) dengan judul “Sosialisasi UU ITE untuk Mencegah Hoax pada Pemilu 2024 di Desa Sumerta Kauh, Denpasar, Bali merupakan inisiatif yang bertujuan agar masyarakat dapat memilih berita hoax dan mengetahui dampak negatif hoax, serta memperkenalkan Undang-Undang Informasi dan Transaksi Elektronik (UU ITE) sebagai instrumen hukum dalam memerangi penyebaran informasi palsu. Melalui pendekatan kolaboratif antara mahasiswa, masyarakat, dan pemerintah desa, program ini mengimplementasikan serangkaian kegiatan sosialisasi yang meliputi pemaparan materi dan forum diskusi bersama KPU Kota Denpasar dan Desa Sumerta Kauh. Hasil dari kegiatan KKN ini menunjukkan peningkatan signifikan dalam pemahaman masyarakat tentang UU ITE sebesar 75% dan kemampuan peserta dalam mengidentifikasi hoax sebesar 80%. Rencana keberlanjutan program telah dirancang untuk memastikan dampak jangka panjang dari inisiatif ini, melalui pengembangan kapasitas masyarakat, integrasi program ke dalam rencana pembangunan desa, serta kolaborasi yang berkelanjutan dengan berbagai stakeholder.Abstract: The Real Work Lecture (KKN) entitled "Socialization of the ITE Law to Prevent Hoaxes in the 2024 Election in Sumerta Kauh Village, Denpasar, Bali is an initiative that aims to enable people to choose hoax news and know the negative impact of hoaxes, as well as introduce the Electronic Information and Transactions Law (ITE Law) as a legal instrument in combating the spread of false information. Through a collaborative approach between students, the community, and the village government, this program implements a series of socialization activities which include material presentation and discussion forums with the KPU Denpasar City and Sumerta Kauh Village. The results of this KKN activity showed a significant increase in public understanding of the ITE Law by 75% and the ability of participants to identify hoaxes by 80%. The program's sustainability plan has been designed to ensure the long-term impact of this initiative, through community capacity building, integration of the program into village development plans, as well as ongoing collaboration with various stakeholders.
KOMUNIKASI PARIWISATA: STRATEGI MUSEUM CATUR INDONESIA DALAM MENINGKATKAN KUNJUNGAN WISATAWAN Nurdharifah, Naila; Ohorella, Noviawan Rasyid; Ramadhani, Rizky Wulan
BroadComm Vol. 8 No. 1 (2026)
Publisher : AKMRTV Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53856/501v6m22

Abstract

Penelitian ini bertujuan mengetahui strategi komunikasi pariwisata Museum Catur Indonesia dalam menarik minat kunjungan, serta faktor pendukung dan penghambatnya. Museum Catur Indonesia adalah museum pertama di Indonesia yang mengangkat tema catur dengan inovasi teknologi seperti VR dan robot catur. Teori yang digunakan adalah konstruksi sosial Berger & Luckmann. Metode penelitian kualitatif deskriptif dengan paradigma konstruktivis. Teknik pengumpulan data melalui wawancara mendalam, observasi, dan dokumentasi. Hasil penelitian menunjukkan strategi komunikasi museum meliputi pembangunan brand "museum yang fun" berbasis teknologi, pemanfaatan media sosial Instagram dan TikTok, kolaborasi dengan sekolah dan partisipasi acara pemerintah, serta pendekatan interpersonal "menjadi teman". Faktor pendukungnya adalah keunikan teknologi, efektivitas media sosial, dan word of mouth. Faktor penghambatnya keterbatasan sumber daya, stigma museum kuno, dan persaingan destinasi lain. Kesimpulannya, strategi komunikasi yang terencana berhasil membangun realitas baru museum sebagai destinasi wisata edukatif yang menarik dan meningkatkan minat kunjungan.
Co-Authors Adang Suhendra Darmayantie, Astie Dyah Anggraini Dyah Anggraini Edy Prihantoro Fauziah, Dewita Ferdinand, Nikolas Fery Harianto Hiswanti Hiswanti Isra, Ali Kartika, Putu Angga Bagus Kiayati Yusriyah Kuncoroyakti, Yohanes Arie Maulana Andinata Dalimunthe Nasution, Nabila Fahira Nuning Indah Pratiwi Nurdharifah, Naila Pitchan, Muhammad Adnan Putu, Ni Luh Rafi, Muammar Rahel Dwi Natalia Rama Dian Syah Ramadhan, Muhammad Azizi Ramadhani, Rizky Wulan Ritonga, Aulia Rahma Satria, Wahyu Indra Savitri, Ravika Silfianti, Widya Sri Wahyuni Tristyanti Yusnitasari Warta, Agustinus Bayu Yudha, Reza Praditya