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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Pekommas Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) JOIV : International Journal on Informatics Visualization Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Matrik Dinamisia: Jurnal Pengabdian Kepada Masyarakat Martabe : Jurnal Pengabdian Kepada Masyarakat ABDIMAS SILIWANGI Informatik : Jurnal Ilmu Komputer Surya Abdimas SEINASI-KESI Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Infotek : Jurnal Informatika dan Teknologi JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Prosiding Seri Seminar Nasional ABDIKOM
Henki Bayu Seta
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Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Journal : JOIV : International Journal on Informatics Visualization

 1 
Big Mart Sales Data Visualization and Correlation Arista, Artika; Theresiawati, Theresiawati; Seta, Henki Bayu
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.1780

Abstract

The amount of unprocessed data available every day is growing. This massive amount of data needs to be effectively assessed to give results that are extremely useful. In the present day, it is crucial for inventory management and demand forecasting to collect sales data for commodities or things, together with all their numerous dependent or independent parts. In a Big Mart Company, the use of sales forecasting is to estimate numerous goods that are readily available and supplied at multiple retailers in different towns. As the number of products and outlets increased drastically, it became increasingly difficult to forecast them manually. As a result, it is necessary to see to what extent the relationship between several variables, including price, popularity, time of day, outlet type, outlet location, etc., affects the appeal of a product. In this research, a data cleaning process was carried out, and data visualization using scatter plots, as well as finding Pearson correlations. The raw processing the data with study of a case big mart sales data is taken from the Kaggle website [https://www.kaggle.com/datasets/sandeepgauti/bigmart-sales]. The Pearson correlation test determines a lack of connection between the two Item_Weight and Item_Outlet_Sales variables. There is a strong but negative correlation where if Item_Visibility decreases, Item_Outlet_Sales also decreases. Positive relationships exist between the two Item_MRP and Item_Outlet_Sales variables. In addition to the correlation test, descriptive statistical analysis is also performed here. With this simple data processing, the raw data will be better organized and easier to analyze, read, and use.
Levenshtein Distance Algorithm in Javanese Character Translation Machine Based on Optical Character Recognition Pradana, Musthofa Galih; Seta, Henki Bayu; Irzavika, Nindy; Saputro, Pujo Hari; Rusiyono, Ruwet
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3151

Abstract

Indonesia has diverse art, cultures, and languages. Linguistically, Indonesia has many local languages, which makes it a diverse country, with Javanese being the regional language with the highest number of entries in the Kamus Besar Bahasa Indonesia. The Javanese script, one of the cultural symbols of Java, differs significantly from the Latin script commonly used in daily communication. In the context of cultural preservation, which is also one of the ministry's strategic steps, a translation or transfer process is needed from the Javanese script to the Latin script to the Indonesian language as an active participation in culture, with technology helping promote and introduce Indonesian culture. This study develops an algorithm-based approach to capture data images and improve translation accuracy. Transliteration is further enhanced by incorporating optical character recognition to convert character images. The study also applies a convolutional neural network (CNN) algorithm for character image recognition and a Levenshtein distance algorithm to translate Latin characters into Indonesian. The convolutional neural network (CNN) algorithm achieved an optimal % image detection accuracy of 95% at the 21st epoch. The translation process yielded a 90% word-level translation accuracy and 70% sentence-level accuracy. These results indicate that sentence translation remains suboptimal due to a lack of sufficient training data and similarities between scripts, highlighting the need for further improvements through transformer models or data augmentation.
Push-Pull-Mooring Theory and The Moderating Effect of Inertia on Switching Intention to Mobile Learning Seta, Henki Bayu; Theresiawati, Theresiawati; Niqotaini, Zatin; Trahira, Juwita Istiqomah; Assegaf, Najwaa Nahda
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.2867

Abstract

Inertia is a hindering factor in transition, which is essential to investigate as a push-pull-mooring factor influencing the switching intention to use mobile learning. Mobile learning research in Indonesia is still new, and only a few studies analyze the moderating effect of inertia on switching intention to mobile learning.  The research aims to examine students' intentions to adjust to mobile learning at universities in Indonesia and analyze the moderating effect of inertia in weakening the correlation between pull and push factors and shifting intention. This study employed a quantitative method involving a sample of 163 students. To explain inertia, this study adopted habits, switching costs, student innovation, network externalities, and technological self-efficacy as independent variables leading to inertia. This research reveals that inertia moderates learning convenience, learning autonomy, and task technology fit. Meanwhile, inertia is influenced by habit, switching costs, student innovativeness, and technological self-efficacy. This research also confirms that service quality, perceived enjoyment, and task technology fit significantly impact switching intention to employ the use of mobile learning. This research reveals that inertia moderates learning convenience, learning autonomy, and task technology fit. Meanwhile, inertia is influenced by habit, switching costs, student innovativeness, and technological self-efficacy. This research also confirms that service quality, perceived enjoyment, and task technology fit have a significant effect on switching intention to use mobile learning. University management and practitioners must increase students’ awareness of the benefits of mobile learning in higher education institutions.  Further research should test additional variables such as gender and student satisfaction with mobile learning.
Co-Authors Achmad Nizar Hidayanto Akmal Ilmi Albestty Islamyati Rafeli Alriansyah, Ifan Ananda Alvi Al Fadhli Josephine Andhika Octa Indarso Andhika Wisnu Wardhana Anita Muliawati Annisa Rizky Damanik Arif Maulana Rahman Aris Dwi Prasetyo Artika Arista Assegaf, Najwaa Nahda Bambang Tri Wahyono Desta Sandya Prasvita Ermatita Ermatita Ernawati, Iin Gebrina Divva Meuthia Zulma Helena Nurramdhani Helena Nurramdhani Irmanda Hernowo, Muhammad Bagus I Wayan Widi I Wayan Widi Pradnyana I Wayan Widi Pradyana Ichsan Mardani Iin Ernawati Ernawati Ika Nurlaili Isnainiyah Ika Nurlaili Isnainiyah Indra Permana Solihin Intan Hesti Indriana Isnainiyah, Ika Nurlaili Jayanta Jayanta Jayanta Jayanta Jayanta Jayanta Jayanta Jayanta Kukuh Bagas Permadi Luqman Imam Marcellino, Steven Mas Diyasa, I Gede Susrama Matondang, Nurhafifah Mohamad Bayu Wibisono Muhammad Panji Muslim Muhammad Ridwan Musthofa Galih Pradana Nindy Irzavika Niqotaini, Zatin Noor Falih Novi Trisman Hadi Nurul Chamidah Nurul Chamidah Prabu, Hamonangan Kinantan Pujo Hari Saputro Raina Nabila Nizatsary Refika Ayuna Sari Regina Josephine Religian Restu Priharananto Ria Astriratma Ria Astriratma Ria Astriratma Rico Andreas, Rico Ridho Zulfahmi Ridwan Raafi'udin Risma Yulistiani Rudhy Ho Purabaya Rusiyono, Ruwet Ruth Mariana Bunga Wadu Santoni, Mayanda Mega Siti Annisa Sumilir theresia wati Theresiawati Theresiawati Trahira, Juwita Istiqomah Tri Rahayu Trihastuti Yuniati Widi P, I Wayan Widi, I Wayan Widya Cholil Wirawan, Rio Zaidiah, Ati