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INDONESIA
Jurnal Informasi dan Teknologi
Published by Universitas Putra Indonesia YPTK Padang
ISSN : 27149730     EISSN : 27149730     DOI : https://doi.org/10.37034/jidt
Core Subject : Science,
Computer Science & IT
Jurnal Informasi & Teknologi media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Teknologi dan Informasi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 378 Documents
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Comparative Literature Study of CodeIgniter and Laravel Framework Performance in Website Creation Fauzan Praseyto Eka Putra; Amba Sugi, Senah; Holipah; Khafifatul Mufidah
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.617

Abstract

PHP frameworks are widely used in web application development because they speed up the coding process and simplify application management. Among the popular frameworks, CodeIgniter and Laravel are often the top choices. This study aims to compare the performance of the two frameworks through literature studies from various relevant sources. The method used is a literature study of previous references, which is analyzed based on five main aspects: basic performance, ease of development, database management, security, and features and scalability. Data was obtained from official documentation, benchmark results, and scientific publications that discuss both frameworks. The analysis results show that CodeIgniter excels in execution speed and simplicity and is suitable for lightweight applications and novice developers. On the other hand, Laravel stands out for its modern features, complex database management, and more integrated security systems, making it better suited for large-scale and complex applications. The conclusion of this study shows that the selection of a framework should be adjusted to the needs of the project, the complexity of the system, and the development team's ability. This research is expected to guide developers in determining the right framework choice and encouraging further study based on direct experimental tests for more applicable results.
Development of a Responsive School Information System for Public Access: MA Nihayatul Amal Serang Maulana, Irvan; Pramudito, Dendy; Pradini, Purnama Sakhrial
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.618

Abstract

The rapid advancement of information technology has prompted various institutions, such as schools, to adjust to disseminating digital information. Information dissemination is less efficient and does not reach the larger community since MA Nihayatul Amal Serang manages school information manually. This study intends to develop and deploy a Web-based School Profile Information System to improve the efficiency of sharing school information and streamline data administration. The Rapid Application Development (RAD) approach, which enables system development to proceed swiftly and incrementally, is used in this study. PHP was used as the programming language, MySQL as the database, and HTML and CSS for the user interface for building the system. One of the primary features created is the ability for users to view school profiles, information, galleries, and contacts in real-time. Black-box testing was used to test the system and ensure all functions worked as intended for the user. The findings indicated that the information system created has the potential to enhance the efficacy of information delivery, alleviate data management constraints, and facilitate the systematic updating of information in schools. MA Nihayatul Amal Serang can improve the school's reputation in the community and boost information openness using this approach.
The Influence of Digital Promotion Strategies on Consumer Purchase Intentions for Culinary Products at Kampoeng Lauk Palangka Raya Nahan, Noorjaya; Aston Pakpahan; Muhamad Ruzaini Abdi
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.619

Abstract

The increasing reliance on digital media has transformed how consumers search for information, evaluate products, and make purchase decisions, especially in the food and beverage industry. Local culinary businesses must now adapt to a digital environment where effective promotional strategies can determine their competitiveness and sustainability. In response to this shift, this study examines the effectiveness of digital promotion strategies in influencing consumer purchase intention, with Kampoeng Lauk Palangka Raya serving as the case study. A quantitative approach was employed by distributing structured questionnaires to consumers exposed to Kampoeng Lauk's digital marketing efforts through social media and online platforms. Multiple linear regression analysis assessed the influence of various digital strategies, including social media content, endorsements, and paid advertisements, on consumer behavior. The results indicate that digital promotion strategies have a statistically significant impact on purchase intention. Among the variables, informative and engaging social media content was the most influential factor in motivating consumers to consider purchasing. These findings emphasize the importance of using digital tools strategically to build customer interest and brand loyalty. The study recommends that small and medium-sized culinary enterprises (SMEs) develop creative, audience-tailored content and utilize digital analytics to refine their marketing efforts. Ultimately, this research contributes to the growing discourse on digital marketing in the local business context and provides actionable insights for culinary entrepreneurs aiming to compete in a dynamic digital marketplace.
Text Data Classification Using the SVM Model on the LMDB Minecraft Dataset Bayu Yoga Astario; Tukino; Agustia Hananto; Fitria Nurapriani; Elfina Novalia
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.620

Abstract

Text classification is a fundamental task in Natural Language Processing (NLP) aimed at categorizing text data into predefined classes. This study implements a Support Vector Machine (SVM) model to classify text data from the LMDB Minecraft Dataset, which contains user reviews of the Minecraft movie. The research involves text preprocessing, TF-IDF feature extraction, and SVM model training. The classification results are evaluated using accuracy, precision, recall, f1-score, and confusion matrix metrics. The comment data is also analyzed based on the timing of their appearance in the movie. All processes are visualized in diagrams; the final results are saved in Excel format. The SVM model performs adequately on informal and domain-specific language data, providing a foundation for future research in similar text classification contexts.
Implementation Clustering Diabetes Suffering Areas Using Web-Based Dbscan Algorithm North Aceh District Abdillah, Ahmad Fauzi; Dinata, Rozzi Kesuma; Maryana
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.622

Abstract

Diabetes has shown a significant increase in Indonesia, including in the North Aceh District. This research implements the DBSCAN algorithm (Density-Based Spatial Clustering of Applications with Noise) web-based method to map diabetes distribution patterns in 27 North Aceh sub-districts. This system was built using the PHP programming language and database MySQL. Proses clustering utilizing data on population, number of sufferers, and number of deaths from 2021-2023 obtained from Prima Inti Medika Hospital and Cut Meutia RSU, with parameters epsilon = 0.5 and MinPts = 3. Results clustering shows an increase in high-risk areas from year to year. In 2021, 2 high-risk sub-districts were identified, Dewantara and Lhoksukon, increasing to 3 sub-districts in 2022 Dewantara, Lhoksukon, and Nisam, in 2023 to 4 sub-districts Dewantara, Lhoksukon, Nisam and Muara Batu. The resulting web-based system succeeded in visualizing diabetes distribution patterns and can be used to plan more effective and targeted health programs.
Prediction Of Industrial Waste Using The Autoregressive Integrated Moving Average Method Roslaini, Roslaini; Abdullah, Dahlan; Suwanda, Rizki
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.624

Abstract

This study presents the development of a web-based industrial waste prediction system using the Autoregressive Integrated Moving Average (ARIMA) method to forecast the volume of liquid and solid waste generated by PT Pupuk Iskandar Muda (PIM). The predictive model is built upon historical waste data collected between 2020 and 2023, serving as the foundation for the statistical analysis. The system is developed using the Flask web framework, offering an interactive and user-friendly interface, while SQLite3 is employed as a lightweight local database solution for efficient data handling. The ARIMA (1,1,1) model was selected based on stationarity testing and examining ACF and PACF patterns. The results suggest that the model can moderately capture prediction trends, although limitations in accuracy are evident. For 2024, liquid waste is projected to decrease from 30,600 tons in January to 29,400 tons in December. In contrast, solid waste displays a more stable trend, with an average monthly generation of approximately 23.2 tons. Model performance was evaluated using the Mean Absolute Percentage Error (MAPE) method, yielding high error rates—166.11% for liquid waste and 100% for solid waste, highlighting the significant impact of data quality and completeness on prediction accuracy. The system generates visual outputs through interactive graphs and tables accessible via a web browser, supporting data-driven decision-making. This research is a predictive tool for PT PIM and a reference for future development of technology-driven waste management systems to promote environmental sustainability.
The Influence of Economic Factors on Investment Decisions in Property & Real Estate Sub-Sector Companies Listed on the Indonesia Stock Exchange for the Period 2020-2023 Oktavia, Dina; Nisfi, Fiya Lailatin; Purdianto, Ario
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.625

Abstract

This study aims to determine the effect of economic factors on investment decisions, especially in property and real estate companies listed on the Indonesia Stock Exchange for 2020-2023. The financial factors that are the focus of this research are inflation and interest rates, with investment decisions proxied by the Price Earning Ratio (PER). The sample in this study consisted of 8 companies selected using a non-probability sampling method with a purposive sampling technique. Meanwhile, the research population includes all property and real estate companies listed on the Indonesia Stock Exchange, including as many as 94 companies. The method used in this research is a quantitative method with an associative approach. Data analysis was carried out using multiple linear regression techniques to measure the effect of inflation and interest rates on investment decisions. The results showed that inflation positively and significantly influences investment decisions as measured by Price Earning Ratio (PER). This means that an increase in inflation drives an increase in PER, which indicates that investors still have optimism about the prospects for investment in the property and real estate sector despite inflationary pressures. Conversely, interest rates have a positive and significant effect on investment decisions, which means that an increase in interest rates causes a decrease in PER. This shows that when interest rates increase, investors tend to shift their investments to safer instruments, thereby reducing interest in property and real estate stocks.
Artificial Intelligence and Bias in Religious Auhtority Hanik L. Tarwiyyah
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.626

Abstract

This research examines the complex interaction between Artificial Intelligence (AI) and religious authority. The main focus of the study is the significant risk of algorithmic bias, which emerges as AI becomes increasingly integrated into various aspects of life, including the religious sphere. The potential for bias in AI systems can affect the interpretation of doctrine, religious education, and even the legitimacy of spiritual leadership. This study uses a qualitative approach through document analysis and case studies to understand how AI, defined as the ability of computational systems to mimic human intelligence, can inadvertently reinforce religious prejudices and stereotypes. The results show that AI bias can manifest in various harmful forms. These forms include religious stereotypes, religious misinformation or "hallucinations," and the reinforcement of existing prejudices. Furthermore, the study also found a transformation of religious authority from traditional to digital, influenced by algorithmic logic and metric culture. In response to these challenges, various religious authorities have issued ethical guidelines emphasizing the importance of human responsibility, transparency, accountability, and the protection of human dignity in the development and use of AI
Analysis of Hardness Level in Enim River for Demineralization Water Process in Thermal Power Plant Tanjung Enim Fajri, Asri Alfiah; Tb. Ade Rahmatullah; Gurruh Dwi Septano; Nasaruddin
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.632

Abstract

Demineralization water is removal of dissolved ionic mineral impurities present in water and other liquids. Mineral content in water can cause crusts in power plant equipment such as boilers and turbine, lowering yield and selectivity values in the reaction process. The aim of the research is to diagnose the conditions of water process Tanjung Enim thermal power plant with standard value of ASME CRTD Vol. 34 and Power Plant water treatment standard. Demineralization Water treatment process starts from Multimedia Filter (MMF), Carbon Filter (CF), Reverse Osmosis (RO), Electrodeionization. Demineralization water sampling taken in January, february, march and April. The water sampling used in RAW Water, Feed RO, Electrodeionization process, feed water and boiler drum to measure the parameters of pH, conductivity, turbidity, Fe, Cl2 and Si02, P04 and ions of Na+, Fe+, Cu+ some of parameters result the fluctuative value but still in both of water treatment standard.
The Impact of Digital Marketing Strategies on Consumer Behavior in Emerging Markets di Sendys Swalayan Kota Palangka Raya Toendan, Rita Yuanita; Hansly Tunjang; Peridawaty; Ina Karuehni
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.642

Abstract

This study investigates the impact of digital marketing strategies social media marketing, content marketing, and influencer marketing on consumer behavior in emerging markets, with a focus on Sendys Swalayan in Palangka Raya City, Indonesia. As digital technology increasingly reshapes consumer engagement, businesses in developing regions must understand how strategic online efforts influence customer purchase decisions. Employing a quantitative approach, this study collected data from 44 respondents using structured Likert-scale questionnaires. The data were analyzed using SPSS software, including validity and reliability tests, Pearson correlation, and multiple linear regression. The findings show that all three digital marketing strategies significantly influence consumer purchase decisions, with content marketing having the strongest effect (β = 0.351, p < 0.01), followed by social media marketing (β = 0.284, p < 0.01), and influencer marketing (β = 0.194, p < 0.05). These results indicate that content relevancy and perceived value are key factors that drive consumer interest and action. The study also highlights the importance of authenticity and social interaction in digital spaces, confirming the relevance of theories such as the Elaboration Likelihood Model (ELM) and Source Credibility Theory. This research contributes to the limited literature on localized digital marketing in mid-sized Indonesian cities and offers practical recommendations for retailers aiming to optimize consumer engagement. The study suggests that businesses should prioritize informative, engaging content while leveraging social media and micro-influencer collaborations that align with local cultural values. These strategies are essential for enhancing brand awareness, building trust, and influencing consumer decision-making in the digital era.Keywords: Digital Marketing, Social Media, Content Marketing, Influencer, Consumer Behavior, Purchase Decision, Emerging Markets.

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