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Usability Analysis of Inlislite Website in Elementary School Library in Penajam District using Heuristic Evaluation Method Awalia, Andi Mentari; Hadisaputro, Elvin Leander; Wahyuni, Nuorma
Devotion : Journal of Research and Community Service Vol. 3 No. 7 (2022): Devotion: Journal of Research and Community Service
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/dev.v3i7.155

Abstract

The purpose of this study was to see to what extent the quality of the system has functioned properly so that a system is able to achieve a certain goal so that the resulting output is effective, efficient, and achieves user satisfaction at the Elementary School Library in Penajam District Using the Heuristic Evaluation Method. The type of data used consists of primary data and secondary data. The research population includes all librarians from 40 schools, namely by distributing questionnaires to all elementary school librarian employees in the North Penajam Paser sub-district with a total of 90 people. The results showed that the level of Inlislite Website Usability Analysis actually had a positive and significant effect on users of the Elementary School Library Inslite website in Penajam District. In this case, the analysis of the test was carried out using the Cronbach Alpha's method with a total of 26 questionnaire items for the X variable and 5 for the Y variable with the Cronbach Alpha value 0.928 > 0.60 for the X variable and for the Y variable the Cronbach Alpha value was 0.617 > 0.60. it means that the questionnaire is reliable or consistent for use in influential research in Inlislite Website users at Elementary School Libraries.
Behavioral Analysis of Shopee Application Users at Stmik Borneo International using the Technology Acceptance Model (TAM) Method Yuliani, Hery; Hadisaputro, Elvin Leander
Devotion : Journal of Research and Community Service Vol. 3 No. 7 (2022): Devotion: Journal of Research and Community Service
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/dev.v3i7.160

Abstract

The development of information technology today has a very rapid growth. Businesses began to enter the virtual world market called e-commerce. Shopee is one of the developing e-commerce. Therefore, it is necessary to know how the acceptance of an application technology by the public is used. In this research, the Shopee application is used, which is an online shopping platform that focuses on mobile, making it easier for users to shop and sell using gadgets. The method in this study uses the Technology Acceptance Model (TAM) research method. The results of this study note that Perceived Ease of Use does not have a significant positive effect on Attitude Toward Using Perceived Usefulness has a significant positive effect on Attitude Toward Using with the level of relationship. It can be concluded that the Perceived Usefulness, Attitude Toward Using, and Intention to use factors have a significant effect on the use of the Shopee application. Meanwhile, the perceived ease of use has no effect on the Shopee application, so it is recommended to improve the quality of the ease of use of the Shopee application.
Systematic Literature Review Efektivitas Implementasi Blockchain dalam Pengarsipan Rahmi, Muhammad Nur; Utamajaya, Joy Nashar; Hadisaputro, Elvin Leander
BHATARA: Jurnal Multidisiplin Ilmu Vol 1 No 3 (2024): July
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/jmb.v1i3.162

Abstract

Studi ini mengevaluasi penerapan teknologi blockchain dalam pengarsipan informasi, menyoroti aspek keamanan, efisiensi, dan keandalannya. Sebanyak 30 artikel jurnal dari berbagai bidang relevan dikaji, dan quality assessment dilakukan untuk memastikan validitas data. Dari hasil quality assessment, 28 jurnal dinyatakan valid dan dianalisis lebih lanjut. Hasil penelitian menunjukkan bahwa teknologi blockchain dapat meningkatkan keamanan, keandalan, dan efisiensi dalam pengarsipan informasi. Namun, kompleksitas dan biaya implementasi masih menjadi tantangan. Pengelompokan jurnal berdasarkan jenis menunjukkan penerapan teknologi ini di sektor keuangan, kesehatan, pendidikan, teknologi informasi, hukum, administrasi pemerintahan, perpustakaan, dan logistik. Studi ini juga mengidentifikasi kekurangan serta area untuk penelitian lebih lanjut mengenai aplikasi blockchain dalam pengarsipan informasi.
TOURIST VISIT PATTERN ANALYSIS AT HOTELS IN NORTH PENAJAM PASER REGENCY USING K-MEANS CLUSTERING Pratama, Maulana Adhie; Hadisaputro, Elvin Leander
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 4 (2025): Articles Research October 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i4.6821

Abstract

Penajam Paser Utara Regency, as a strategic area in East Kalimantan, has experienced significant development in the tourism sector in line with the plan to relocate the national capital (IKN). However, the utilization of tourist visitation data in hotels in this region is still not optimal. This study aims to analyze tourist visit patterns at Penajam Paser Utara Regency hotels using data mining techniques with the K-Means Clustering algorithm. The data used is secondary data obtained from the Penajam Paser Utara Regency Culture and Tourism Office, covering 34 hotels with variables including domestic and foreign visitors from 2019 to 2024. The clustering results show two main clusters: a high-visitation cluster comprising large hotels and a low-visitation cluster consisting of hotels with fewer visitors. The analysis reveals the dominance of domestic tourists, accounting for 99% of total visits, and the tourism sector's recovery pattern, reflecting a V-shaped recovery post-pandemic. This research contributes to hotel managers in designing market segment-based marketing strategies and local governments in designing data-driven tourism policies to enhance the sustainable competitiveness of destinations.