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All Journal International Journal of Health, Engineering and Technology Multidisciplinary Indonesian Center Journal
Isnein Akbar
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Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Dentistry Earth & Planetary Sciences Education Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary Other

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Integrating WhatsApp-only Citizen Reporting and GIS Spatial Analysis (Kernel Density–Buffer–Network Distance) to Prioritize Solid Waste Service Interventions: A Case Study of Kalijaga Village, Aikmel District Isnein Akbar; Abdulah Muzakar
International Journal of Health Engineering and Technology Vol. 4 No. 5 (2026): IJHESS JANUARY 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v4i5.569

Abstract

Solid waste management at the village scale faces persistent challenges related to limited availability of operational spatial data and uneven service coverage across residential areas. This study integrates WhatsApp-only citizen reporting with Geographic Information System (GIS) spatial analysis to identify clusters of solid waste complaints and to establish service intervention priorities in Kalijaga Village, Aikmel District. The spatial analysis comprises kernel density estimation, buffer analysis, and network distance analysis, while acceptance of the reporting channel is examined using an extended Technology Acceptance Model (TAM) incorporating information quality. The results indicate the formation of complaint density clusters along primary road corridors, at the interface between residential areas and vacant land, and in proximity to drainage networks. Multi-criteria integration produces priority zones P1–P5 and a Top-10 list of priority locations that can be directly adopted as a basis for task assignment and optimization of waste collection points. From the system acceptance perspective, perceived usefulness and information quality exert a significant influence on behavioral intention to use, whereas perceived ease of use affects behavioral intention indirectly through enhanced perceived usefulness. These findings demonstrate that a WhatsApp-only approach supported by GIS analysis can serve as a low-cost, operational solution for strengthening village-level solid waste governance.
THE EFFECT OF DIGITAL LITERACY ON STUDENTS’ LEARNING OUTCOMES IN A GEOGRAPHIC INFORMATION SYSTEMS COURSE IN THE ENVIRONMENTAL ENGINEERING STUDY PROGRAM AT UNIVERSITAS HAMZANWADI Isnein Akbar; Mutia Permata Sari; Agus Muliadi Putra
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 1 (2026): Vol. 3 No. 1 Edisi Januari 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i1.2041

Abstract

The rapid development of information and communication technologies has significantly transformed higher education. Teaching and learning processes are increasingly supported by digital platforms, Learning Management Systems (LMS), and abundant online learning resources. In this context, university students are required to possess adequate digital literacy, particularly in software- and spatial-analysis-based courses such as Geographic Information Systems (GIS), which is a key course in the Environmental Engineering curriculum. This study aimed to analyze the effect of digital literacy on students’ learning outcomes in a GIS course offered in the Environmental Engineering Study Program at Universitas Hamzanwadi. A quantitative approach with a correlational design was employed. The population consisted of students enrolled in the GIS course in the odd semester of the 2024/2025 academic year, and all 44 students were taken as the sample using a saturated sampling technique. Digital literacy was measured using a Likert-scale questionnaire (1–5) covering technical skills, information search and evaluation, information management, online communication and collaboration, and ethical use of digital media, while learning outcomes were obtained from the final course grades. The data analysis showed that the mean score of students’ digital literacy was 3.6 (moderately high), with a standard deviation of 0.45, whereas the mean GIS course grade was 78.5 with a standard deviation of 6.8. Pearson correlation analysis indicated a positive and significant relationship between digital literacy and learning outcomes (r = 0.62; p < 0.01). Simple linear regression further revealed that digital literacy accounted for approximately 38% of the variance in learning outcomes (R² = 0.38), with the regression equation Ŷ = 52.3 + 7.3X. These findings highlight the importance of strengthening students’ digital literacy in GIS instruction through training, project-based assignments, and the optimal utilization of Learning Management Systems.
Co-Authors Abdulah Muzakar AGUS MULIADI PUTRA, AGUS MULIADI Mutia Permata Sari