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A Hybrid Approach to Typo Correction in Indonesian Documents Using Levenshtein Distance Santoso, Joseph Teguh; Yan, Song
Journal of Technology Informatics and Engineering Vol 3 No 2 (2024): Agustus : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i2.184

This study developed a typo correction system for the Indonesian language by integrating the Levenshtein Distance algorithm with empirical methods. The system is designed to improve the accuracy of typo detection and correction in Indonesian texts, which feature complex morphological structures such as prefixes, suffixes, and compound words. The findings show that the system achieved a precision rate of 92% and an F1-score of 90.5%, indicating high reliability in providing relevant correction suggestions. Additionally, the system demonstrated efficiency in processing time, with an average of 0.8 seconds for short texts and 5.3 seconds for longer texts. The use of empirical methods enables the system to handle complex language variations, resulting in more contextually appropriate correction suggestions. User feedback indicated high satisfaction with the interface and the relevance of the suggestions provided. Overall, this research makes a significant contribution to the development of more adaptive and efficient typo correction systems for the Indonesian language and opens up opportunities for further development in the context of other similar languages.

Empowering Urban Farmers: An Asynchronous Learning Application for Greenhouse Management Wibowo, Mars Caroline; Santoso, Joseph Teguh
Journal of Technology Informatics and Engineering Vol 3 No 2 (2024): Agustus : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i2.185

This paper addresses the growing need for effective educational tools in greenhouse gardening, particularly for beginners lacking prior agricultural knowledge. Despite the increasing availability of mobile applications aimed at agricultural education, many existing resources fail to engage users through interactive experiences, thereby limiting their practical skill development. This study identifies a significant knowledge gap regarding the specific needs of novice gardeners and the effectiveness of current educational applications. To address this gap, we developed an innovative mobile application designed to facilitate asynchronous learning through interactive features such as discussion forums and quizzes. A mixed-methods approach was employed, involving user testing with 30 participants to evaluate the application’s usability and engagement levels. The results indicated that 90% of users found the application intuitive and easy to navigate, with enhanced motivation attributed to its engaging visual design. These findings suggest that the proposed application not only meets the educational needs of users but also fosters a more interactive and responsive learning environment. The implications of this research highlight the potential for mobile applications to significantly improve practical knowledge and skills in greenhouse management, ultimately contributing to more sustainable agricultural practices

Russia vs America cyber war: space technology mastery competition Fadra, Fadra; Santoso, Joseph Teguh
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol 10, No 4 (2024): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020243157

Mastery of computers and information systems in international relations is one of the elements of a country's new power. In the context of cyber warfare, Russia and the United States are trying to modernize their technology to secure their countries in the event of an attack from the opposing party. This research aims to analyze the space technology competition carried out by two major countries, namely Russia and the United States, to achieve Great Power status in the international world. This research focuses on the technological achievements of Russia and the United States in the field of space and their implementation in the form of cyber warfare. A qualitative case study is the research method chosen by the researcher. The research stages used by researchers are divided into data collection stages and data reduction, and the next stage is that researchers conduct analysis using data reduction techniques, namely summarizing, selecting, and focusing on the things needed in this study. The results of this study show that national security priorities are number one, and especially defense priorities for the United States are no longer terrorism but great power competition. NATO is an alliance or political tool that the US relies on to achieve great power.

Enhancement of Internal Business Process Using Artificial Intelligence Santoso, Joseph Teguh; Wibowo, Agus; Raharjo, Budi
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 3 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i3.79242

This research aims to explore the feasibility of Artificial Intelligence (AI) enabled process improvement systems to assist businesses in optimizing Internal Business Process (IBP) by making and adopting suggestions and improvements. Over the last two decades’ technological advances in the new generation have allowed us to use more sophisticated systems to speed up different tasks, as well as AI which has cognate from theory to something more efficient and applicable. This study confirms that a feasible AI-based system can provide benefits to companies in terms of increasing revenue. A mixed method was used; quantitative research was carried out through surveys to gather knowledge about the use of AI in the IBP, while qualitative research was carried out through interviews to obtain an overview of the use of AI in certain IBP. The results show that constructing AI in process optimization is a complicated task than one might expect.

APLIKASI NOTIFIKASI KEGIATAN DESA BERBASIS ANDROID MENGGUNAKAN PUSH NOTIFICATION (STUDI KASUS DESA TANJUNG HARAPAN) Wibawa, M. Bayu; Purnadi, Mirza; Santoso, Joseph Teguh; Khairi, Miftahul
JOURNAL OF INFORMATICS AND COMPUTER SCIENCE Vol 9, No 1 (2023): April 2023
Publisher : Ubudiyah Indonesia University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33143/jics.v9i1.5132

Abstrak Penggunaan teknologi dalam penyampaian informasi di Gampong Tanjung Harapan Kabupaten Aceh Selatan masih belum maksimal. Perangkat desa masih menggunakan cara manual yaitu dengan menggunakan toa masjid atau mushola. Sebagiannya ada yang ditempelkan pada papan informasi kantor kepala desa. Warga yang sedang tidak berada di desa pada saat informasi disampaikan, akan ketinggalan informasi. Banyaknya kegiatan-kegiatan yang biasa dilakukan di Desa Tanjung Harapan. Oleh karena itu masyarakat harus mendapatkan informasi kegiatan dengan j elas, mudah dan efektif, sehingga masyarakat tidak perlu kesulitan atau kurangjelas dan tidak membuat masyarakat harus bolak balik ke kantor desa untuk mendapatkan informasi. Berdasarkan persoalan tersebut, maka perlu menghadirkan teknologi berupa system informasi berupa Aplikasi Notifikasi Kegiatan Desa Berbasis Android menggunakan Push Notification. Dapat mempermudah warga Desa dalam mengetahui informasi kegiatan, pada saat jadwal kegiatan dilaksanakan maka secara otomatis aplikasi juga mengeluarkan notifikasi sehingga warga Gampong Tanjung Harapan mengetahui informasi lebih awal dan juga mempermudah kantor desa dalam menyampaikan berbagai jadwal kegiatan yang akan dilaksanakan. Kata kunci: Kegiatan Desa, Android, Notifikasi

A Hybrid Approach to Typo Correction in Indonesian Documents Using Levenshtein Distance Santoso, Joseph Teguh; Yan, Song
Journal of Technology Informatics and Engineering Vol. 3 No. 2 (2024): Agustus : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i2.184

This study developed a typo correction system for the Indonesian language by integrating the Levenshtein Distance algorithm with empirical methods. The system is designed to improve the accuracy of typo detection and correction in Indonesian texts, which feature complex morphological structures such as prefixes, suffixes, and compound words. The findings show that the system achieved a precision rate of 92% and an F1-score of 90.5%, indicating high reliability in providing relevant correction suggestions. Additionally, the system demonstrated efficiency in processing time, with an average of 0.8 seconds for short texts and 5.3 seconds for longer texts. The use of empirical methods enables the system to handle complex language variations, resulting in more contextually appropriate correction suggestions. User feedback indicated high satisfaction with the interface and the relevance of the suggestions provided. Overall, this research makes a significant contribution to the development of more adaptive and efficient typo correction systems for the Indonesian language and opens up opportunities for further development in the context of other similar languages.

Empowering Urban Farmers: An Asynchronous Learning Application for Greenhouse Management Wibowo, Mars Caroline; Santoso, Joseph Teguh
Journal of Technology Informatics and Engineering Vol. 3 No. 2 (2024): Agustus : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i2.185

This paper addresses the growing need for effective educational tools in greenhouse gardening, particularly for beginners lacking prior agricultural knowledge. Despite the increasing availability of mobile applications aimed at agricultural education, many existing resources fail to engage users through interactive experiences, thereby limiting their practical skill development. This study identifies a significant knowledge gap regarding the specific needs of novice gardeners and the effectiveness of current educational applications. To address this gap, we developed an innovative mobile application designed to facilitate asynchronous learning through interactive features such as discussion forums and quizzes. A mixed-methods approach was employed, involving user testing with 30 participants to evaluate the application’s usability and engagement levels. The results indicated that 90% of users found the application intuitive and easy to navigate, with enhanced motivation attributed to its engaging visual design. These findings suggest that the proposed application not only meets the educational needs of users but also fosters a more interactive and responsive learning environment. The implications of this research highlight the potential for mobile applications to significantly improve practical knowledge and skills in greenhouse management, ultimately contributing to more sustainable agricultural practices

Exploring Data Analytics in Attendance Systems: Unveiling Machine Learning Techniques, Patterns, Practices, and Emerging Trends Santoso, Joseph Teguh; Manongga, Danny; Setyawan, Iwan; Purnomo, Hindriyanto Dwi; Hendry
Scientific Journal of Informatics Vol. 11 No. 2: May 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i2.3438

Purpose: The research aims to identify patterns and trends in attendance management through the application of reward and punishment systems as innovative solutions for improving employee attendance and well-being. Methods: This research utilizes a descriptive analysis approach with the application of Machine Learning (ML) techniques to enhance the accuracy of attendance pattern prediction and ML models for the classification of emerging trends and patterns. Research data were obtained through the company's attendance system and divided into two segments (80% for training and 20% for testing) while maintaining a balanced class proportion, then processed using SPSS and Python software with the Scikit-learn library. Result: The results of the study show that employee attendance is increased from 86.52% to 90.44% when the reward and punishment method is applied to the employee attendance system. Proper reward allocation can increase employee motivation to adhere to work schedules and consistently attend, while punishment tends to lead to lower attendance rates. Novelty: This research emphasizes the optimization of attendance management through data analytics approaches and the implementation of advanced technology in attendance systems with the application of ML techniques to analyze attendance data comprehensively and detect significant patterns.

The Transformative Role of Augmented Reality in E-Commerce: A Mixed-Methods Study on Consumer Trust Across Cultural Contexts -, Wawah Sri Sunenti; Santoso, Joseph Teguh
Benefit: Jurnal Manajemen dan Bisnis Vol. 10 No. 2 (2025): Benefit : Volume 10 Desember No 2 tahun 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Augmented Reality (AR) is becoming increasingly influential in global e-commerce, especially in how it helps narrow the gap between digital and physical shopping experiences. This study explores AR’s role in shaping consumer trust, not only during initial interactions but also over time, across different cultural settings. By combining structured surveys (N = 200) and qualitative interviews, this research uses a mixed-methods design to understand behavior patterns and how trust is built. Results show that higher content frequency (r = 0.72, p = 0.001) links strongly to engagement, while both social media (β = 0.47, p < 0.001) and content marketing (β = 0.31, p < 0.001) also play major roles. In the qualitative analysis, participants often highlighted that using multiple platforms, offering personalized content, and being sensitive to culture helped maintain trust over time.

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