PENERAPAN METODE HEURISTIC EVALUATION UNTUK ANALISA USABILITY PADA APLIKASI IDENTITAS KEPENDUDUKAN DIGITAL
Abstract
Dukcapil to meet the need for community population data to a smartphone to build IKD (Digital Population Identity). Digital Population Identity (IKD) is electronic information that is usually used to represent population documents, feedback data, in a digital application based on a smartphone that displays data as the identity in question. However, from user assessments obtained through Playstore, several problems were found, such as the fact that the document resolution was low so that the resulting display was less clear and less comfortable to read, the document download function was not yet available, some documents often failed to display, and when logging out or uninstalling the application is difficult to log in again. Based on this problem, an evaluation performed using the HE method (Heuristic Evaluation). This method was chosen to test the Digital Population Identity program to find usability problems in the Digital Population Identity application which is based on 10 heuristic method principles so that improvements can be obtained. To test the statements in the questionnaire, researchers used validity tests and reliability tests. Determining the priority scale for application improvements using severity rating using the index calculated from the Heuristic evaluation. This research resulted in a usability analysze IKD application using the HE method (heurisctic evaluation), that of the level of usability of IKD program had Cronbach's Alpha 0.973 from 27 statements, which means that the reliability IKD application is very reliable. Recommendations for improving the Digital Population Identity application for problem codes PM23 and PM27 can used as a reference improving this program so it can meet user needs.
References
Ahmad, M., & Nasution, D. P. (2018 ). “Analisis Kualitatif Kemampuan Komunikasi Matematis Siswa Yang Diberi Pembelajaran Matematika Realistikâ€. Jurnal Gantang. 3(2), pp. 83–95. https://doi.org/10.31629/jg.v3i2.471
Ardhana Putri, L., Ihsan Said, M., & Hasan, M. (n.d.). (2023). “Analisis Pemasaran Digital Barang Elektronik:Pada Toko Computer Di Yogyakartaâ€. INTELEKTIVA. Vol. 4 No. 7. pp. 34-50 Maret.
Ardiansyah, S., Sofyan, M., & Asman, H. (2019). RANCANG BANGUN E-COMMERCE TOKO FURNITURE. Jurnal Informatika. 8(1). http://ejournal.unidayan.ac.id/index.php/JIU
Aswidani. (2023). â€Mengukur Usability Pada Website Simak Universitas Khairun Menggunakan Heuristic Evaluation Methodeâ€. Journal Of Comprehensive Science. Vol. 2 No. 10. pp. 1628-1635 Oktober.
Dewi, I. K., Mursityo, Y. T., Regasari, R., & Putri, M. (2018). “Analisis Usability Aplikasi Mobile Pemesanan Layanan Taksi Perdana Menggunakan Metode Webuse dan Heuristic Evaluationâ€. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer. Vol. 2 No. 8. pp. 2909-2918 Agustus. http://j-ptiik.ub.ac.id
Gusti, I., Agung, A., Indrayani, D., Putu, I., Bayupati, A., Made, I., & Putra, S. (n.d.). (2020). “Analisis Usability Aplikasi iBadung Menggunakan Heuristic Evaluation Methodâ€. Jurnal Ilmiah Merpati. Vol. 8 No. 2 Agustus.
Handayani, S. A., & Nurhayati, E. (n.d.). (2021). “Perancangan Dan Pengembangan Produk Smarthphone Menggunakan Metode Quality Function Deployment (Qfd)â€. Prosiding Seminar Nasional Multi Disiplin Ilmu Dan Call For Papers. pp. 635-642. Juli.
Indrajaya, D. (n.d.). (2018). “ANALISIS KUALITAS PELAYANAN TERHADAP TINGKAT KEPUASAN KONSUMEN MENGGUNAKAN METODE IMPORTANCE PERFORMANCE ANALYSIS DAN CUSTOMER SATISFACTION INDEX PADA UKM GALLERYâ€. Jurnal IKRA-ITH Teknologi. Vol. 2 No. 3. pp. 1-6 November.
Lestari, D.-, Rohaniati, N., & Rahmayu, M. (2022). Analisis Evaluasi User Interface Dan User Experience Pada Aplikasi Majoo Dengan Metode Heuristic Evaluation (Studi Kasus : Speed Karunia Cipta). Media Jurnal Informatika, Vol. 14 No. 2. pp. 97-103 Desember. https://doi.org/10.35194/mji.v14i2.2553
Mustikarani. T. Diyanti, dan Irwansyah. (2019 ).“Pemanfaatan Teknologi Informasi Dan Komunikasi Dalam Industri Fashion Indonesiaâ€. Warta ISKI. vol. 2 no. 01 pp. 8-18.
https://doi.org/10.25008/wartaiski.v2i01.23
Noor, A., & Hadisaputro, E. L. (2022). Analisis Pengalaman Pengguna Pada Aplikasi TIX ID Menggunakan Metode User Experience Questionnaire. Journal of Information System Research (JOSH), 3(4), 672–677. https://doi.org/10.47065/josh.v3i4.1881
Setyoningsih W, Khoiriyah L, & Qn, N. (n.d.). (2018). “Pembuatan Pangkalan Data Elektronik Kelurahan Muktiharjo Kidul Pedurungan Semarangâ€. Jurnal Informatika, Vol.2 Nomor 1. pp. 18-30 Juni.
Wasiati, H., & Sudarmanto, D. (n.d.). (2022). “Analisis Usability Menggunakan Metode Heuristic Evaluation Pada Aplikasi Toko Onlineâ€. UPAJIWA DEWANTARA. Vol. 6 No. 1. pp. 11-30 Juni.
Yolanovia1, D., & Dwi, A. (n.d.). (2021). “Evaluasi User Experience Aplikasi TIX ID Menggunakan Metode Heuristic Evaluationâ€. JEISBI, 02.
Zulfidiana, Z., Yunardi, D. H., & Mutiawani, V. (2023). “Rancang Bangun Aplikasi Pengujian Usability Berbasis Webâ€. J-SIGN (Journal of Informatics, Information System, and Artificial Intelligence). 1(01). pp. 58–70.. https://doi.org/10.24815/j-sign.v1i01.31805
Copyright (c) 2024 JIKA (Jurnal Informatika)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- That it is not under consideration for publication elsewhere,
- That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with International Journal of Advances in Intelligent Informatics agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.Â
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Licensing for Data Publication
International Journal of Advances in Intelligent Informatics use a variety of waivers and licenses, that are specifically designed for and appropriate for the treatment of data:
Open Data Commons Attribution License, http://www.opendatacommons.org/licenses/by/1.0/ (default)
Creative Commons CC-Zero Waiver, http://creativecommons.org/publicdomain/zero/1.0/
Open Data Commons Public Domain Dedication and Licence, http://www.opendatacommons.org/licenses/pddl/1-0/
Other data publishing licenses may be allowed as exceptions (subject to approval by the editor on a case-by-case basis) and should be justified with a written statement from the author, which will be published with the article.
Open Data and Software Publishing and Sharing
The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.
Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.
Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.