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Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Published by Lembaga Komunitas Informasi Teknologi Aceh
ISSN : -     EISSN : 25801643     DOI : https://doi.org/10.35870/jtik
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), e-ISSN: 2580-1643 is a free and open-access journal published by the Research Division, KITA Institute, Indonesia. JTIK Journal provides media to publish scientific articles from scholars and experts around the world related to Hardware Products, Software Products, IT Security, Mobile, Storage, Networking, and Review An application service. All published article URLs will have a digital object identifier (DOI).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 801 Documents
 76   77   78   79   80 
Implementasi Sistem IoT untuk Pemantauan Kelembaban dan pH Tanah secara Real-Time pada Tanaman Hortikultura Surapati, Untung; Farizi, Faradj
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5278

Abstract

This study develops an Internet of Things (IoT) system to support horticultural farming in Berjo Village, Karanganyar District. The system monitors soil parameters such as pH and moisture in real-time, aiding farmers in making informed decisions regarding fertilization and watering. The implementation aims to improve efficiency and crop yields of cultivated flowers, reducing losses caused by improper soil conditions. Additionally, the paper discusses the role of technology in transforming agriculture, demonstrating that IoT adoption offers innovative solutions to address unpredictable rainfall challenges and foster local interest in flower cultivation. Government support is crucial for the sustainability of this innovation, ensuring it benefits smallholder farmers and enhances agricultural productivity through advanced technology integration.
Analisis Kinerja Naïve Bayes dalam Klasifikasi Produk Terlaris Berdasarkan Data Penjualan dan Interaksi Pengguna pada Toko Babygear.Project Rasiban, Rasiban; Wulandari, Putri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5287

Abstract

This study aims to analyze and classify best-selling and least-selling products in the Babygear.Project store using the Naïve Bayes algorithm. The data used includes sales and user interaction data collected from the store management system, then a preprocessing stage is carried out to ensure data quality before being used in modeling. The testing process is carried out by dividing the dataset into training data and test data using a 60:40 ratio. The test results show that the Naïve Bayes model has an accuracy of 92.68%, with consistently high precision, recall, and F1-score values across both product categories. Further analysis reveals that the features of sales volume, purchase frequency, product category, product price, and user interaction are the most dominant factors in the classification process. The implementation of this model provides strategic benefits, especially in optimizing stock management, promotional planning, and data-driven decision making to improve operational efficiency and customer satisfaction. This study also opens up opportunities for further development, such as the addition of predictor variables, the use of larger datasets, and testing benchmark algorithms to improve prediction accuracy in the future.
Evaluasi Kepuasan Mahasiswa terhadap Fasilitas Kampus Menggunakan Metode Simple Additive Weighting (SAW) Nugroho, Agung Yuliyanto; Tundo, Tundo; Saidah, Andi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5324

Abstract

Evaluation of student satisfaction with campus facilities is one important aspect in improving the quality of college services and infrastructure. However, this satisfaction evaluation process has a gap between student expectations of the facilities provided by the campus. This research aims to design a Decision Support System (DSS) that can help the campus in assessing student satisfaction levels using the Simple Additive Weighting (SAW) method. This method was chosen because of its ability to conduct an assessment based on criteria that have certain weights so as to produce the best alternative ranking. The criteria used in this study include cleanliness, maintenance, comfort, completeness, condition, service, and level of satisfaction. Data was obtained through questionnaires distributed to students in various study programs, focusing on various aspects of campus facilities such as classrooms, laboratories, libraries, hall areas, and podcast studios. It was then processed using SAW steps, including matrix normalization and final score calculation. The result showed that the final results of the evaluation of student satisfaction with campus facilitiesf from 100 respodents obtained a fairly high score of 44 which was said to be quite good. This SAW method is able to provide a clear ranking of the level of student satisfaction, as well as identify areas that require improvement or enchancement at the college.
Analisis Pengaruh QRIS terhadap Sistem Informasi Pembayaran Digital dan Perilaku Pengguna di Indonesia Ryantina, Dessyanti; Arinal, Veri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5342

Abstract

This study analyzes the influence of QRIS (Quick Response Code Indonesian Standard) on digital payment information systems and user behavior in Indonesia. The research method uses a quantitative approach with simple linear regression analysis and validity-reliability tests. Data were collected through online questionnaires from 130 QRIS users at STIKOM CKI Campus. The results indicate that QRIS significantly affects the efficiency of digital payment systems, with regression coefficients of 0.8334 for ease of use and 0.0794 for security. Additionally, QRIS usage frequency influences user satisfaction (β = 0.462). Descriptive analysis reveals that 61.5% of respondents recommend QRIS, with the main constraint being slow internet connections (46.2%). These findings provide practical implications for service providers and regulators to enhance QRIS adoption.
Framing Media Daring dalam Pemberitaan Demonstrasi Penolakan Revisi RUU Pilkada 2024: Analisis pada Tempo.co dan BeritaSatu.com Periode Agustus 2024 Ardiansyah, Firman; Zamzamy, Ahmad
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5408

Abstract

This study examines media coverage of demonstrations rejecting the revision of the 2024 Regional Head Election Bill (RUU Pilkada). Two national online media, Tempo.co and BeritaSatu.com, used different framing approaches. The aim is to identify and compare their framing constructions. The method applied was Robert N. Entman’s framing analysis with four elements: define problems, diagnose causes, make moral judgement, and treatment recommendations. Data were taken from online news in August 2024. The findings show that Tempo.co emphasized democracy, criticism of the government, and civil society voices, while BeritaSatu.com highlighted political stability, public order, and government responses. These differences demonstrate how editorial orientation shapes media reality and public opinion. Theoretically, this research enriches studies on reality construction in Indonesian mass media. Practically, it encourages readers and policymakers to be more critical of news framing. The novelty lies in revealing contrasting framings between progressive and pro-government media on the 2024 Pilkada, reflecting the tension between democracy and stability.
Analisis Wacana Digital Tindak Tutur dalam Konten "Ngobrolin Goblok secara Komprehensif" pada Kanal YouTube @Felix Siauw Ramadhani, Hilmy Yavi; Nurhaqiqi, Hanna
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5409

Abstract

This study examines digital discourse practices in Felix Siauw’s YouTube content titled “Ngobrolin Goblok secara Komprehensif” using Rodney H. Jones’ model of digital discourse analysis. The research focuses on text, context, action interaction, illocutionary speech acts, as well as the ideology and power embedded within the content and audience responses. The analysis reveals that Felix Siauw employs a communicative strategy that is polite, objective, and educational through assertive, directive, and expressive speech acts. Audience responses demonstrate appreciation, social criticism, and reflection on dependency phenomena, functioning as both educational and persuasive mediums. From the perspective of ideology and power, Felix reinforces his authority as a public figure by directing audiences toward critical, rational, and fair attitudes. This study highlights that digital discourse is not merely a space for expression but also an arena for shaping public opinion and collective awareness in the new media era.
Sistem Pakar untuk Mendiagnosis Penyakit pada Ibu Hamil Menggunakan Metode Forward Chaining Berbasis Web (Studi Kasus: RSU Mitra Paramedika Tahun 2024) Asdistia, Sindy; Wijaya, Dhina Puspasari; Danianti, Dita; Yazid, Ahmad Subhan
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5413

Abstract

The Maternal Mortality Rate (MMR) in Indonesia remains relatively high, partly due to delays in recognizing pregnancy danger signs and the lack of proper monitoring of maternal conditions. Therefore, a technology-based system is needed to support the early detection of pregnancy-related diseases. This study aims to develop a web-based expert system for diagnosing diseases in pregnant women using the forward chaining method with a classical probability approach. The research employed the waterfall model. The system’s knowledge base consists of 15 types of pregnancy-related diseases and 73 symptoms, with diagnostic rules validated by experts. The system was tested using blackbox testing as well as validation of diagnostic results with experts. The results showed that the system was able to produce diagnoses consistent with experts in 14 out of 15 test cases, achieving an accuracy rate of 93.33%. The system is also equipped with a feature for uploading and storing ultrasound (USG) results to support coordination among healthcare facilities. In conclusion, this web-based expert system can be used as an early diagnostic tool and an educational medium for pregnant women, and has the potential to make a significant contribution to reducing maternal mortality in Indonesia.
Penerimaan Generasi Z Terhadap Budaya Patriarki dalam Film Yuni Ayu, Cempaka Laras; Indriastuti, Yudiana
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5414

Abstract

Films can influence their acceptance and behavior. Yuni's film raises the issue of social pressure on women, reflecting patriarchal culture in Indonesia. Generation Z is more sensitive to issues of diversity, sustainability, and authenticity, thus being attracted to socially relevant messages. This study aims to analyze Generation Z's acceptance of patriarchal culture in Yuni's film using Stuart Hall's reception analysis theory. The method used is descriptive qualitative with data collection through in-depth interviews with eight informants. Based on the research results, the eight informants showed diverse understandings. There were five informants in the dominant hegemonic position, three informants in the negotiation position, and no informants in the opposition position. The informants' acceptance positions depend on the diversity of backgrounds, knowledge, and experiences. Generation Z said the form of patriarchal culture in Yuni's film is relevant to reality and hope that films like this will be made again in the future.
Perbandingan Metode Naïve Bayes dan Support Vector Machine untuk Klasifikasi Sentimen Ulasan Wisatawan: Studi Kasus Mulia Resort Nusa Dua Bali Setiawan, Kiki; Mu'asyir, Humam
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5416

Abstract

The tourism industry requires systems that efficiently capture tourist perceptions. Online reviews on platforms like TripAdvisor provide valuable insights but are challenging to analyze manually due to their volume and diversity. This study develops a sentiment classification model for tourist reviews by comparing Naïve Bayes and Support Vector Machine (SVM). The dataset comprises public reviews of Mulia Resort Nusa Dua Bali, categorized as positive or negative. Text preprocessing includes tokenization, stopword removal, and TF-IDF transformation. Model performance is evaluated using accuracy, precision, recall, and F1-score. The study delivers a ready-to-use sentiment classification model and comparative performance analysis of both algorithms. Findings are expected to identify the more effective method for sentiment analysis of tourist reviews and provide a reference for building recommendation systems and strategic decision-making in the tourism sector.
Analisis Nutrisi Makanan Berbasis Mobile Menggunakan CNN dan Artificial Intelligence Rahmani, Husain; Mulyana, Dadang Iskandar
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5452

Abstract

The development of Artificial Intelligence (AI) technology has opened up new opportunities in various fields, including health and nutrition. This research aims to develop a mobile application that is able to analyze the nutritional composition of food automatically using the Convolutional Neraul Network (CNN) method. This application is designed to assist users in monitoring nutritional intake through the recognition of food images taken using a mobile device camera. The methodology used includes collecting food image datasets, training CNN models integrated into mobile platforms so that they can be used in real-time and user-friendly. Tests were conducted to measure the accuracy of food classification and the accuracy of estimating its nutritional composition.

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