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INDONESIA
Indonesian Journal of Innovation Studies
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 25989936     DOI : https://doi.org/10.21070/ijins.v17i
Core Subject : Science, Education, Social, Engineering,
Computer Science & IT Education Engineering Law, Crime, Criminology & Criminal Justice
Indonesian Journal of Innovation Studies (IJINS) is a peer-reviewed journal published by Universitas Muhammadiyah Sidoarjo four times a year. This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.This journal aims is to provide a place for academics and practitioners to publish original research and review articles. The articles basically contains any topics concerning new innovation on all aspects. IJINS is available in online version. Language used in this journal is Indonesia or English.
Arjuna Subject : Umum - Umum
Articles 2 Documents
 1 
Search results for , issue "Vol. 27 No. 3 (2026): July" : 2 Documents clear
Agroforestry Potential for Climate Change Adaptation in Buru Regency Sinanu, Sally; Mattinahoru, Johan; Latumahina, Fransina Sarah
Indonesian Journal of Innovation Studies Vol. 27 No. 3 (2026): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i3.2055

Abstract

General Background Climate change poses significant challenges to tropical forest ecosystems and dependent communities, particularly through rising temperatures, altered rainfall patterns, and land-use pressures. Specific Background In eastern Indonesia, especially Buru Regency, these dynamics threaten ecosystem stability and land productivity, necessitating adaptive land management approaches such as agroforestry. Knowledge Gap However, limited empirical evidence exists regarding the biophysical characteristics and structural variability of agroforestry systems within concession-based forest management areas. Aims This study aims to analyze vegetation structure, species diversity, and development potential of climate-based agroforestry systems in the PBPH area of PT. Gema Hutani Lestari. Results The findings reveal four canopy strata (A–D) in both Wamtihut and Walsekat hamlets, indicating typical tropical forest stratification, with Wamtihut showing higher structural complexity, greater species richness (nine tree species), and moderate diversity (H’ = 1.72), while Walsekat exhibits lower diversity (H’ = 1.06) and strong dominance of Pterocymbium javanicum (IVI = 143.10). Horizontal distribution patterns include solitary, grouped, and random formations, reflecting ecological variation and land-use intensity. Notably, the absence of seedlings in both sites indicates a regeneration gap. Novelty This study provides integrated quantitative and qualitative evidence linking vegetation structure, diversity indices, and agroforestry potential within a concession-based tropical forest landscape. Implications The results highlight the need for integrated agroforestry management, institutional strengthening, and community participation to support ecosystem resilience and climate change adaptation in Buru Regency. Highlights: Multi-layer canopy composition differs markedly between two hamlets, indicating contrasting ecological conditions. One location shows moderate heterogeneity, while the other is dominated by a single pioneer species. Lack of natural regeneration signals potential long-term sustainability risks. Keywords: Agroforestry, Climate Change Adaptation, Vegetation Structure, Species Diversity, Tropical Forest
Indodax Demonstrates Better Usability Than Tokocrypto Based on SUS and EEG Analysis Fadillah, Rachmad; Tranggono, Tranggono; Islami, Mega Cattleya Prameswari Anissa
Indonesian Journal of Innovation Studies Vol. 27 No. 3 (2026): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i3.2137

Abstract

General Background: Cryptocurrency investment applications have become increasingly important in supporting digital financial transactions and mobile-based investment activities. Specific Background: Usability plays a critical role in cryptocurrency applications because users interact with complex and high-risk transaction systems requiring effective navigation, efficiency, and cognitive comfort. Knowledge Gap: Previous usability studies on cryptocurrency applications have predominantly relied on subjective approaches such as System Usability Scale (SUS) and conventional usability testing, while the integration of Electroencephalography (EEG) for physiological validation remains limited. Aims: This study aimed to evaluate and compare the usability of the cryptocurrency investment applications Indodax and Tokocrypto based on ISO 9241-11 by integrating performance measurement, System Usability Scale (SUS), and Electroencephalography (EEG). Results: The findings showed that Indodax achieved higher usability performance with an SUS score of 71.5, effectiveness of 98%, and efficiency of 0.059 goal/second, while Tokocrypto obtained an SUS score of 56.75, effectiveness of 74%, and efficiency of 0.036 goal/second. EEG analysis revealed dominant Alpha waves in Indodax, indicating lower cognitive load and more comfortable interaction, whereas Tokocrypto demonstrated dominant Beta waves associated with higher cognitive burden and user stress. Several usability problems in Tokocrypto were identified, including asset navigation, transaction history visibility, and transaction amount selection. Novelty: This study integrates subjective usability assessment, performance measurement, and EEG-based physiological analysis in cryptocurrency application evaluation. Implications: The results provide practical guidance for interface redesign and support the development of more cognitively efficient cryptocurrency investment applications. Highlights: Indodax achieved higher task completion rates and faster interaction performance than Tokocrypto. Dominant Alpha brainwave patterns indicated lower cognitive burden during Indodax interaction sessions. Asset filtering, transaction records, and nominal selection created major interaction difficulties in Tokocrypto. Keywords: Usability, ISO 9241-11, SUS, EEG, Crypto, Indodax, Tokocrypto

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