SIPEDAS: Evaluasi Berorientasi Manusia terhadap Alur Kerja Digital yang Dapat Dilacak untuk Pengelolaan Sampah di Pemerintah Daerah
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pengelolaan sampah perkotaan sistem informasi layanan publik transformasi digital integrasi data jejak audit skala kegunaan sistem

Cara Mengutip

Puteri, W. A., & Syafrijon. (2026). SIPEDAS: A Human-Centered Evaluation of Traceable Digital Workflows for Local-Government Waste Administration. Journal of Hypermedia & Technology-Enhanced Learning, 4(3), 224–245. https://doi.org/10.58536/j-hytel.251
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Terbit 2026-10-31
Pages 224-245
References 26
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Abstrak

Pengelolaan sampah perkotaan di banyak pemerintah daerah seringkali terhambat oleh catatan yang terfragmentasi, praktik pelaporan yang tidak terintegrasi, dan keterbatasan jejak audit antar unit organisasi. Penelitian ini mengkaji bagaimana proses administratif yang terfragmentasi dapat diintegrasikan ke dalam alur kerja digital yang terpusat, diatur berdasarkan peran, dan dapat diaudit, serta mengevaluasi fungsionalitas dan kemudahan penggunaannya. Sebuah studi kasus desain dan evaluasi di satu lokasi dilakukan di Dinas Lingkungan Hidup Kabupaten Padang Pariaman, Indonesia, yang melibatkan kegiatan pengelolaan sampah di 17 kecamatan. SIPEDAS mengintegrasikan catatan operasional, data induk, pelaporan, kontrol akses berbasis peran, dan pencatatan aktivitas melalui API RESTful Laravel, antarmuka React/TypeScript, serta basis data MySQL terpusat. Evaluasi tersebut menggabungkan 25 skenario Black Box yang diturunkan dari persyaratan dengan Skala Kegunaan Sistem (SUS). Keseluruhan 25 skenario uji fungsional yang dijalankan memenuhi kriteria penerimaan yang telah ditetapkan sebelumnya. Sepuluh catatan SUS tingkat peserta yang lengkap menghasilkan skor rata-rata 68,25 (SD = 11,37; median = 71,25; rentang = 50–80), mendekati tolok ukur yang sering dikutip namun dengan variasi yang signifikan di antara para peserta. Catatan yang tidak lengkap mengenai penggalian persyaratan, independensi penguji, dan administrasi SUS membatasi reproduktibilitas serta interpretasi perbedaan di antara responden. Temuan ini mendukung SIPEDAS sebagai landasan fungsional untuk administrasi data limbah yang dapat dilacak, namun tidak menjamin ketiadaan cacat, peningkatan efisiensi organisasi, atau keamanan, keandalan, dan kinerja yang terverifikasi. Kontribusi utamanya adalah pendekatan untuk menghubungkan persyaratan dengan bukti evaluasi yang membedakan antara kontrol yang diterapkan, kesesuaian fungsional yang dijalankan, kegunaan yang dirasakan, penggunaan aktual, dan hasil organisasi.

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Author Contributions

Wulan Ainiyyah Puteri: Conceptualization; Methodology; Software; Investigation; Writing – Original Draft. Syafrijon: Data Curation; Writing – Review & Editing; Supervision. All authors have read and approved the final version of the manuscript.

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Conceptualization Data curation Investigation Methodology Software Supervision Writing – original draft Writing – review & editing
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Acknowledgments

The authors would like to thank the management and operational staff of the Environmental Office (Dinas Lingkungan Hidup) of Padang Pariaman Regency, West Sumatra, for their cooperation and provision of operational context, as well as the Department of Electronics Engineering, Universitas Negeri Padang, for their academic support.

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Pendanaan

This research received no specific grant from any funding agency.

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Konflik Kepentingan

The authors declare no competing interests.

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Ethics Approval

The study involved non-invasive software evaluation and an adult professional-user usability questionnaire. Institutional operational permission from the Environmental Office of Padang Pariaman Regency and informed consent from participants were documented. However, the retained study record contains no formal ethics-committee approval, exemption, or waiver determination. Institutional operational permission is therefore not presented as equivalent to research-ethics review.

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Informed Consent

Informed consent was obtained from all participants before completion of the usability questionnaire.

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Ketersediaan Data

The data supporting the reported functional testing and usability results, together with system documentation and database schemas, are available from the corresponding author upon reasonable request, subject to institutional data-governance requirements.

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Generative AI Disclosure

During manuscript preparation in July 2026, the authors used ChatGPT (OpenAI; GPT-5-series models) for language editing. All final wording was critically checked and revised by the human authors, who retain full responsibility for the accuracy, originality, and integrity of the manuscript.

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Statements are reproduced from the final published PDF using exact section headings. The PDF remains the authoritative version. Absence of a panel does not establish that the declaration is absent from the PDF.

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