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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 742 Documents
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Model Jaringan VLAN pada Routing IS-IS untuk Pemerintah (Studi Kasus Dinas Pemerintah Kecamatan Bringin) Arnando, Kelvin; Widiasari, Indrastanti Ratna
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
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.v9i2.3293

Abstract

The current development of the internet network in the digital era has progressed very rapidly and has become a major need that cannot be abandoned, especially for the Bringin District Government Service which does not yet have a good network, so the exchange of information is less effective. Therefore, it is necessary to design a network with VLAN configuration on IS-IS routing, and carry out network simulation using GNS3. QoS testing is carried out by sending data packets using the ICMP protocol and counting the data sent. This research shows that the results of VLAN network testing on IS-IS routing at the Bringin District Government Service have optimal performance according to the TIPHON standard with 0% packet loss, 11.28 ms delay, 0.78 Mbit/s throughput, and 0 ms jitter.
Optimasi Website Sampurna Berkah dengan Framework Scrum Menggunakan Metode Agile untuk Meningkatkan Penjualan Pratiwi, Aniec Anafisah; Tanfitra, Adhim; Waluyo, Bibit; Abid, Umar Abdul; Tarwoto
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
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.v9i2.3309

Abstract

Waste management has become a complex national issue in Indonesia, driven by population growth, economic expansion, and shifting consumption patterns. The Sampurna Berkah website, owned by Sidapurna Village, Dukuhturi District, Tegal Regency, was created to support an environmentally conscious community focused on recycling non-biodegradable waste. To effectively develop the information system for this website, an agile approach is essential. The Scrum framework is employed to enhance transparency, communication, documentation, and adaptability to change. This study aims to optimize the Sampurna Berkah website, which has existing issues such as a confusing user interface, unsuitable color combinations, and lack of responsiveness. Using the Agile Scrum method, stages like Product Backlog, Sprint Planning, Sprint Backlog, Daily Scrum, and Sprint Review were implemented. The optimization results show significant improvements, including a more user-friendly interface, better website responsiveness, and more visually pleasing color combinations, achieving the main development objectives.
Analisis Sentimen Proyek Strategis Nasional Food Estate Menggunakan Algoritma Naïve Bayes, Logistic Regression dan Support Vector Machine Mustopo, Yuning Rum Zattayu; Afiyati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
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.v9i2.3312

Abstract

The National Strategic Project Food Estate is an initiative by the Indonesian government aimed at enhancing food security through the development of large-scale agricultural areas. In the vice-presidential debate ahead of the 2024 election, Food Estate re-emerged as a hot topic, sparking controversy. Therefore, this study aims to analyze public perspectives on the National Strategic Project Food Estate by comparing the performance of machine learning algorithms, including Naïve Bayes, Logistic Regression and Support Vector Machine. This research also experiments with feature extraction techniques TF-IDF and Word2Vec. The results indicate that TF-IDF feature extraction performs better in capturing relevant features to enhance classification performance compared to the Word2Vec method. The best-performing algorithm is Logistic Regression + TF-IDF, achieving an accuracy of 74%, followed by SVM + TF-IDF and Naïve Bayes + TF-IDF with accuracies of 73% and 72%, respectively.
Prediksi Nilai Unburned Carbon Batubara yang Dihasilkan PLTU Menggunakan Algoritma Linear Regression, Random Forest, dan LightGBM Regression Syarif, Muhyiddin; Afiyati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
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.v9i2.3313

Abstract

This study focuses on predicting unburned carbon levels in coal-fired power plants to enhance operational efficiency. Accurate prediction of unburned carbon is crucial as it directly affects fuel combustion efficiency and environmental sustainability. The research compares three machine learning algorithms: Linear Regression, Random Forest, and LightGBM Regression, using performance metrics such as Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Root Mean Squared Error (RMSE). The results show that LightGBM Regression performs the best, with MAE of 0.31, MAPE of 1.29, and RMSE of 0.38, outperforming the other two models. This model can be further optimized to improve prediction accuracy, contributing to more efficient and environmentally friendly power plant operations. The application of machine learning in this study supports data-driven decision-making in the energy sector.
Pengaruh Artificial Intelligence Berbasis Chat terhadap Efektivitas dan Efisiensi Penyelesaian Masalah Pembelajaran di Tingkat Perguruan Tinggi Angruningrum, Erinna; Meitridwiastiti, Anak Agung Ayu; Pratama, Muhammad Ahyar; Utami, Luh Putu Rika; Ameria, Dewa Ayu Dinar Kartika; Putra, Kadek Prema Sadhana
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
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.v9i2.3316

Abstract

This study aims to evaluate the effectiveness and efficiency of the use of artificial intelligence (AI) in the scope of higher education and to see how important the role of artificial intelligence (AI) is in solving problems in the university environment. The research will involve surveys and interviews with individuals who have experience in the application of AI in college. This research will also use the Unified Theory of Acceptance and Use of Technology (UTAUT) method as a direction in making a question survey that will be disseminated to respondents. The goal of this study is to provide a better understanding of how quickly and effectively AI can solve problems in a college environment. This study will use qualitative and quantitative approaches, where the results of the research will be explained qualitatively through interviews and quantitatively through statistical analysis of Simple Linear Regression from the results of the respondents.
Perancangan Website Pemesanan Menggunakan Metode Waterfall Pada Cafe Ungu Universitas Amikom Purwokerto Nur Adiya, Az Zahra Dwi; Anggraeni, Dea Lili; Al Raidhan, Muhammad Akhmal; Tarwoto
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
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.v9i2.3321

Abstract

The advancement of information technology has significantly transformed operational management in various sectors, including the culinary industry. Cafe Ungu at Universitas Amikom Purwokerto serves as a campus facility offering a variety of food and beverages to students, staff, and visitors. However, the conventional ordering method relying on direct interaction often leads to long queues and recording errors, hindering service effectiveness. To address this issue, this study designs a web-based ordering information system using the Waterfall method, encompassing the stages of requirements analysis, design, development, testing, and maintenance. The system is designed to allow customers to place orders online, assist administrators in managing orders, and provide transaction data for business analysis purposes. The implementation results indicate that this system can improve operational efficiency, reduce ordering errors, and enhance customer satisfaction. Therefore, this information system is expected to be a strategic solution for Cafe Ungu in addressing order management challenges in the digital era.
Arsitektur Enterprise Sistem Informasi E-Commerce untuk Pemasaran Hasil Pertanian Tarwoto; Rahayu, Syawalia; Serli; Anania, Zanela; Novitasari, Amanda Ayu
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
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.v9i2.3322

Abstract

This research aims to design enterprise architecture to support the implementation of e-commerce information systems in agricultural product marketing. By utilizing the Extreme Programming (XP) approach as a development method, this system is expected to facilitate the marketing of agricultural products directly between farmers and consumers, and overcome the problems in the long and inefficient distribution chain. The designed enterprise architecture coordinates various system components, including customer data, inventory management, transaction processes, logistics, and sales data reporting. The system consists of several main views, such as Home, Login, Register, and Chart pages, which are designed to facilitate user and farmer interaction in conducting transactions. With a flexible and adaptive approach, this research is expected to support the sustainability of the agricultural sector through an inclusive e-commerce system, increase the accessibility of agricultural product marketing, and empower farmers economically.
Analisis Sentimen Ulasan Aplikasi Mobile JKN di Google PlayStore Menggunakan IndoBERT Tarwoto; Nugroho, Rizki; Azka, Najmul; Graha, Wakhid Sayudha Rendra
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
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.v9i2.3340

Abstract

This research analyzes the sentiment of JKN mobile app reviews on Google PlayStore using the IndoBERT model, a deep learning-based language model designed for Indonesian text. The research process involved review data collection, text pre-processing, and sentiment classification into three categories: positive, negative, and neutral. The results show that the model performs very well, with an average accuracy of 97.28% and best metrics of 98.27% on accuracy, precision, recall, and F1 score. The specific contribution of this research is the development of a deep learning-based approach for sentiment analysis of Indonesian texts, particularly in the health sector through mobile applications. The findings not only provide insight into user perceptions of the JKN app, but also provide a basis for feature improvements and service enhancements. The implications of this research can support developers in designing strategies to improve the quality of digital-based health services in Indonesia.
Penerapan Sistem IoT Berbasis Energi Surya untuk Pemberian Pakan Otomatis dan Pemantauan Kualitas Air pada Budidaya Udang Vaname Razali, Safrizal; Rahman, Aulia; Damora, Adrian
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
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.v9i1.3346

Abstract

Vannamei shrimp (Litopenaeus vannamei) merupakan salah satu komoditas utama akuakultur nnasional di Indonesia dengan potensi?ekonomi yang besar. Nonetheless, obstacles like poor water quality and inadequate feed practices prevent sustainable aquaculture. This study aims to design an automatic feeding system for the Internet of Things (IoT) equipped for real-time monitoring of water pH and temperature, powered by solar energy. The system consists of a pH sensor (PH-4502C), a temperature sensor (DS18B20), an ESP32 microcontroller and a Blynk application, which serves as the main interface for the system. The testing was done to prove that this whole system works fine with 2 nos of 100Wp monocrystalline solar panels with 12V 100Ah batter. The system successfully enhances farm operational efficiency, boosts energy sustainability, and offers a novel solution for vannamei shrimp farm management.
Desain Jaringan Fiber to The Home di Desa Butuh Kidul Prastowo, Imana Yoga; Yulianto, Sri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
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.v9i2.3353

Abstract

This study aims to design a Fiber to the Home (FTTH) network in Butuh Kidul Village, Tengaran District, Semarang Regency. In today's digital era, access to fast and stable internet is a fundamental need for communities. However, many rural areas in Indonesia, including Butuh Kidul Village, still lack adequate internet access. FTTH networks provide a solution by utilizing fiber optic cables that can transmit data at high speeds and with large bandwidth capacity. This research employs the Passive Optical Network (PON) method as the network architecture to enhance efficiency and scalability. The expected outcome is that the local community will benefit from improved internet access, supporting digital village programs and enhancing the quality of life and economic potential. This research is anticipated to serve as a reference for similar network developments in other rural areas.

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