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Jurnal Ilmiah Teknik Informatika dan Komunikasi
Published by Badan Perencanaan, Penelitian dan Pengembangan Daerah, Kabupaten Semarang
ISSN : 28278127     EISSN : 28277945     DOI : 10.55606
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Bidang Teknik Elektro yang meliputi keahlian teknik tenaga listrik, teknik telekomunikasi dan informasi, serta kendali dan instrumentasi. Bidang Teknik Informatika yang meliputi keahlian di bidang teknik Komputer, Sistem Komputer, Ilmu Komputer.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 340 Documents
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Analisis Sentimen Pengunjung terhadap Tempat Wisata di Yogyakarta Menggunakan Support Vector Machine (SVM) dan Linear Discriminant Analysis (LDA) Yuliana Putri; Esi Putri Silmina
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 6 No. 1 (2026): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v6i1.2062

Abstract

Tourism is a strategic sector that plays an important role in supporting regional economic development, including in the Special Region of Yogyakarta as one of Indonesia’s leading tourist destinations. High tourism activity has led to an increasing number of visitor reviews on online platforms such as TripAdvisor, which can be utilized to understand tourists’ perceptions and satisfaction levels. The large volume of reviews makes manual analysis ineffective, thus requiring an automated, computation-based approach. This study aims to analyze the sentiment of tourism reviews in Yogyakarta City using the Support Vector Machine (SVM) algorithm with the addition of the Linear Discriminant Analysis (LDA) dimensionality reduction method. The dataset consists of 5,000 tourism reviews that have undergone preprocessing stages, including data cleaning, case folding, tokenization, normalization, stopword removal, and stemming. Text feature representation was performed using the TF-IDF method. Model evaluation was conducted using an 80:20 split between training and testing data, with performance measured using accuracy, precision, recall, and F1-score metrics. The results indicate that the application of LDA to the SVM model improves the balance of classification performance, particularly in precision (77.71%) and F1-score (79.5%), despite a slight decrease in accuracy. Sentiment classification results are dominated by positive sentiment (92.4%), reflecting generally favorable tourist perceptions of destinations in Yogyakarta. This study is expected to serve as a reference for tourism managers in evaluating service quality and facilities based on visitor opinions.
Analisis Iklim Komunikasi Organisasi pada Travel Agent Real Bali Holidays Ni Made Ayu Andriani Ratu Bulan; Anak Agung Ngurah Eddy Supriyadinata Gorda; Melati Budi Srikandi; Decky Cipta Indrashwara
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 6 No. 1 (2026): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v6i1.2063

Abstract

This research is motivated by the highly competitive dynamics of the tourism industry in Bali, which demands effective internal coordination. The study aims to analyze the organizational communication climate implemented at Travel Agent Real Bali Holidays, focusing on the aspects of openness, effectiveness, and communication sustainability. The research method used is qualitative descriptive, with data collection techniques through non-participatory observation, semi-structured interviews, and document studies. Research informants were determined using purposive sampling from management, employees across various divisions, and external partners. The results indicate that the organizational communication climate at Real Bali Holidays is flexible and adaptive to operational needs. Communication openness is evident from the space provided for organization members to convey ideas and constraints without rigid structural barriers. Communication effectiveness is supported by the use of integrated communication channels that ensure message clarity and minimize misunderstandings. Communication sustainability is maintained through consistent interaction patterns in daily work activities, although most practices remain informal. These findings emphasize that a conducive communication climate plays a vital role as the foundation for cross-divisional work coordination. The implication of this research is the need to strengthen the communication system through formal procedure standardization to support organizational sustainability amidst industry competition.
Penerapan Learning Vector Quantization (LVQ) Untuk Klasifikasi Data Citra Digital Bambang Irwansyah; Delyanti Putri Sitorus; Rezki Abdillah; Rizky Febriansyah; Harry Ardian; Syahrul Syahrul; Ferry Cahyadi; Fahri Finanda Rizki
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 6 No. 1 (2026): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v6i1.2072

Abstract

The rapid development of information technology has increased the utilization of digital images in various fields, creating a need for classification methods that are accurate and efficient. One method that can be applied to classify numerical data obtained from image feature extraction is Learning Vector Quantization (LVQ). This study aims to implement the LVQ method for digital image classification based on numerical features and to evaluate its performance in terms of accuracy. The data used in this study consist of grayscale digital images that have undergone a feature extraction process and are represented as numerical vectors. The dataset is divided into two classes, namely Class A and Class B. The research stages include data collection, grayscale conversion, feature extraction, LVQ training, and classification testing. The classification results are evaluated using a confusion matrix and accuracy measurement. The experimental results show that the LVQ method successfully classified all test data correctly, achieving an accuracy rate of 100%. These results indicate that Learning Vector Quantization is an effective method with good performance for classifying digital image data based on numerical features.
Strategic Construction of Brand Image by the Faculty of Science and Technology at Universitas Islam Negeri Sumatera Utara in Strengthening Public Trust Nurhanifah Nurhanifah; Mirna Annifah Hasibuan; M. Agung Rahmadi
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 6 No. 1 (2026): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v6i1.2075

Abstract

The construction of brand image has become a strategic imperative for Islamic higher education institutions in the era of global competition. Prior research has examined the impact of educational institutional branding on academic performance (Karsono et al., 2021). However, a gap remains regarding the explicit integration of Islamic values into science and technology branding. This study aims to explore the brand image strategies of the Faculty of Science and Technology at UIN North Sumatra in building public trust. This research employs a qualitative descriptive approach with purposive sampling, involving five key informants: the Dean of FST, the Vice Dean III, the Head of Administrative Affairs, and two students. Data were collected through in-depth interviews, participatory observation, and documentation. The research findings identify four strategic pillars: (1) leadership-student synergy in digital dissemination representing the concept of syura; (2) integration of the wahdatul ulum paradigm and rahmatan lil alamin principle in inclusive service delivery; (3) optimization of the official website as an instrument of transparency; (4) consistency in multi-stakeholder communication. Thus, it can be understood that a branding model harmonizing academic excellence with Islamic values in the science-technology context serves as a competitive differentiator, enriching the strategic branding literature of Islamic higher education and demonstrating that authentic integration of religious values strengthens institutional positioning at national and global levels.
Efektifitas Komunikasi Antarpribadi Pustakawan pada Pelayanan Sirkulasi Perpustakaan Politeknik Negeri Lampung Brama Sari; Purwanto Putra
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 6 No. 1 (2026): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v6i1.2076

Abstract

Interpersonal communication plays a crucial role in enhancing library service quality, particularly in the circulation section, which serves as the primary point of interaction between librarians and users. This study aims to analyze the effectiveness of librarians’ interpersonal communication at the Politeknik Negeri Lampung Library based on Joseph A. DeVito’s five principles: openness, empathy, supportiveness, positiveness, and equality. The research employs a descriptive qualitative method through observation, interviews, and literature review. The findings reveal that interpersonal communication among librarians is effective. Openness is reflected in friendly responses to user inquiries; empathy is shown through understanding users’ needs; supportiveness appears in providing alternative solutions; positiveness is demonstrated through politeness and hospitality; and equality is maintained through fair treatment without discrimination. Effective communication contributes significantly to users’ satisfaction, comfort, and loyalty, while strengthening the library’s image as a friendly, inclusive, and professional information center. The study suggests: (1) conducting regular training to improve librarians’ communication competence, (2) utilizing digital communication technologies, (3) implementing periodic service quality evaluations, and (4) developing interactive information literacy programs to foster active engagement between librarians and users.
Mengenal Lebih Dekat Komunikasi Bisnis pada Pameran Food and Hotel Indonesia: Studi Etnografi pada Peserta dan Pengunjung Catur Wulandari; Inne Pujianti
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 6 No. 1 (2026): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v6i1.2081

Abstract

The Food and Hospitality Indonesia (FHI) exhibition is a significant platform for business communication in the food and hospitality industry. This ethnographic study delves into the intricacies of business communication at the Food and Hospitality Indonesia (FHI) exhibition, scheduled for July 2026. The research investigates the interactions, negotiations, and relationship-building strategies employed by participants and visitors. Through participant observation and in-depth interviews, the study captures the nuances of business communication in this unique setting. The FHI exhibition serves as a prime platform for industry professionals to connect and explore opportunities. By examining the communication strategies employed, this research is intended to offer valuable insights for both industry professionals and academics., shedding light on the complexities of business communication in the food and hospitality industry. The findings of this study will be utilized to the development of effective communication strategies, enhancing business outcomes and fostering meaningful connections within the industry.
Transformasi Digital UMKM melalui Pemanfaatan Artificial Intelligence dalam Meningkatkan Daya Saing Bisnis di Era Ekonomi Digital Erwin Maulana Abdul Kadir; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Irfan Dwiguna Sumitra
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 6 No. 1 (2026): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v6i1.2085

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in the national economy; however, they continue to face various challenges in enhancing their competitiveness in the digital economy era. Technological advancements, particularly Artificial Intelligence (AI), create new opportunities for MSMEs to undertake digital transformation in a more effective and sustainable manner. This study aims to analyze the role of Artificial Intelligence utilization in supporting the digital transformation of MSMEs and its impact on improving business competitiveness.This research employs an approach tailored to the characteristics of MSMEs, with data collected from MSME actors who have begun adopting digital technologies in their business activities. The results indicate that the utilization of Artificial Intelligence contributes to improved operational efficiency, higher-quality decision-making, and enhanced capability of MSMEs to respond to market needs more quickly and accurately. Furthermore, AI encourages business model innovation and strengthens the competitive position of MSMEs amid digital economic competition. The study concludes that Artificial Intelligence can serve as a key strategy in the digital transformation of MSMEs to sustainably enhance business competitiveness.
Branding Bawaslu dalam Meningkatkan Kepercayaan Publik terhadap Pengawasan Pemilu: Studi Kasus pada Strategi Branding Bawaslu Kabupaten Ngada Johanis Aldian Sina Redo; Veki Edizon Tuhana; Henny L.L. Lada
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 6 No. 1 (2026): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v6i1.2091

Abstract

This research aims to identify the branding strategies implemented by Bawaslu Ngada Regency in enhancing public trust in election supervision. This study employs a constructivism paradigm with a qualitative approach and case study method, with data collection through in-depth interviews, social media observations, and documentation involving the Head of Bawaslu Ngada, Public Relations Officer, and Bawaslu Ngada staff. Data analysis uses the Miles and Huberman model with data validity tested through source and method triangulation, and applies David Aaker's Brand Equity theory encompassing dimensions of brand awareness, brand associations, perceived quality, and brand loyalty. The research findings reveal that Bawaslu Ngada Regency implements five main strategies in building brand equity: branding through mass media and social media (Facebook and Instagram); face-to-face community activities through the "Healthy Friday" program and citizen forums; formation and empowerment of participatory supervisors through the Participatory Supervisor Cadre School (SKPP); political education through the "Bawaslu Goes to School" program; and opening multi-channel information services through offices, official websites, PPID, and the SIWASLU application. These strategies successfully increased institutional visibility and created positive associations with values of public participation, transparency, and accountability, although implementation still faces challenges including minimal communication appeal, limited budget and human resources, digital divide, and inconsistent implementation at various levels.
Resistensi Simbolik dan Aktivisme Digital: Analisis Fenomena Garuda Biru dalam Mengawal Demokrasi dan Konstitusi Indonesia Ajeng Iva Dwi Febriana; Yadi Kusmayadi; Anton Ardiansyah
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 6 No. 1 (2026): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v6i1.2097

Abstract

The planned ratification of the 2024 Regional Head Election Bill, which annulled the Constitutional Court's decision, triggered massive public resistance manifested through the "Blue Garuda Emergency Warning" symbol. This study analyzes the phenomenon using Christian Fuchs's Radical Humanism perspective and Jürgen Habermas's public sphere concept. Using a qualitative approach with a case study method, data were collected from social media platforms X and Instagram during the critical period of August 21-23, 2024. The research aims to dissect how visual symbols function as a medium of criticism amidst the stagnation of formal democratic channels. The findings show that the Blue Garuda is not merely a viral trend but an instrument of de-alienation that creates a counter-public sphere. Citizens engage in activism by transforming collective emotions into real political movements, both in the digital and physical realms. This phenomenon represents a social healing mechanism for the silencing of citizens' voices while marking a crisis of legitimacy for state institutions. The study concludes that Indonesia's digital democracy has evolved into a substantive corrective force, where nationalism is redefined as loyalty to the constitution and humanitarian values, not blind obedience to the authorities.
Prediksi Jumlah Kasus Penyakit Demam Berdarah Dengue Menggunakan Metode Long Short-Term Memory (LSTM) Nurmelidia Larasati; Sucipto Sucipto; Syarifah Putri Agustini Alkadri
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 6 No. 1 (2026): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v6i1.2100

Abstract

Dengue Hemorrhagic Fever (DHF) an infectious disease with fluctuating case numbers that can suddenly increase, posing significant public health challenges. In Pontianak City, 106 cases with 1 death were recorded in 2019, decreasing from 195 cases with 3 deaths in 2018. In 2020, the number dropped further to 27 cases with no fatalities. This condition indicates the need for a prediction system capable of accurately estimating the number of cases to support decision-making processes. This study aims to develop a model for predicting daily DHF cases in Pontianak City using the Long Short-Term Memory (LSTM) method. The data used includes daily DHF cases, average temperature, average humidity, and rainfall from 2020 to 2025. The research stages included data cleaning, normalization using Min-Max Scaling, historical data formation, model training, and evaluation using Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). The best model employed a single LSTM layer with 64 neurons, 50 epochs, and a batch size of 32, yielding an RMSE of 0.87 and MAE of 0.63. These results indicate that the LSTM method is capable of generating predictions close to actual values and is reliable for estimating daily DHF cases in Pontianak City. The developed Streamlit-based application provides interactive visualization and accurate predictions, making it a valuable tool for health authorities in DHF prevention and control efforts.

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