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All Journal TEKNIK INFORMATIKA JTEV (Jurnal Teknik Elektro dan Vokasional Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal TIPS : Jurnal Teknologi Informasi dan Komputer Politeknik Sekayu IJISTECH (International Journal Of Information System & Technology) Jurnal Pendidikan dan Konseling Jurnal Berdaya Mandiri Journal of Intelligent Decision Support System (IDSS) JUKI : Jurnal Komputer dan Informatika Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) IJISTECH Jurnal Teknologi dan Sistem Tertanam Parta: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Masyarakat Bhinneka Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal Pengabdian Pada Masyarakat Jurnal Relawan dan Pengabdian Masyarakat REDI TeknoKreatif: Jurnal Pengabdian kepada Masyarakat
Afriansyah, Aidil
Informatics Engineering Study Program, Institut Teknologi Sumatera
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Journal : JITK (Jurnal Ilmu Pengetahuan dan Komputer)

 1 
USER EXPERIENCE ANSWER SYSTEM AUTOMATICALLY WITH USER CENTERED DESIGN AND USER EXPERIENCE QUESTIONNAIRE-SHORT Sophia Nouriska; Meida Cahyo Untoro; Aidil Afriansyah; Mugi Praseptiawan; Winda Yulita; Ilham Firman Ashari
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 9 No. 1 (2023): JITK Issue August 2023
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v9i1.4152

Abstract

The interface of the automatic answer assessment system is plagued by several issues, including an unfamiliar layout, unresponsive design, inconsistency in elements, and a lack of clarity in presenting information. These problems significantly hinder the overall user experience. As a result, this study aimed to address these challenges by designing a user-centered experience for the automatic answer assessment system, using a high-fidelity prototype tailored to meet user needs. The user-centered design method involved four crucial stages: Specify The Context Of Use, Specify Requirements, Create Designs, and Evaluate Designs. Through rigorous usability testing with teachers, the design achieved an impressive effectiveness rating of 90%, firmly establishing it as a "very effective" solution. Additionally, it demonstrated high efficiency with a value of 0.01307 goals/sec, and teachers expressed positive feedback, confirming the satisfaction and usability of the new interface. Similarly, students' usability testing yielded noteworthy results, with a 90% effectiveness rating, also classified as "very effective." The interface showcased a high level of efficiency, with a value of 0.0849 goals/sec. While the satisfaction value fell below the PSSUQ norm, students still found the interface to be user-friendly and satisfactory. Furthermore, the user experience testing, utilizing the UEQ-S, provided valuable insights. For teachers, the pragmatic aspect scored 1.85, the hedonic aspect scored 2.33, and the overall aspect received a commendable score of 2.09, all of which fell within the excellent category on benchmarks. Similarly, students' ratings were highly positive, with scores of 2.14 for both pragmatic and hedonic aspects, and an overall score of 2.14, signifying an excellent user experience.The retrospective think-aloud validation test reaffirmed the positive response from prospective users. Overall, this research, employing a user-centered design approach, successfully delivered a highly satisfactory and effective user experience for both teachers and students using the automatic answer assessment system.
COMPARATIVE OF LSTM AND GRU FOR TRAFFIC PREDICTION AT ADIPURA INTERSECTION, BANDAR LAMPUNG Ilham Firman Ashari; Verlina Agustine; Aidil Afriansyah; Nela Agustin Kurnianingsih; Andre Febrianto; Eko Dwi Nugroho
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 4 (2025): JITK Issue May 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i4.6569

Abstract

The Tugu Adipura intersection in Bandar Lampung is a vital traffic hub connecting four major roads. Rapid population growth and increasing vehicle numbers challenge traffic flow and urban quality of life. Despite its importance, there is limited research using predictive models to analyze traffic patterns at complex intersections in mid-sized Indonesian cities. This study addresses that gap by examining traffic growth on four connected roads using deep learning models. Traffic data were collected hourly from June 1, 2021, to July 31, 2023. A comparative analysis of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models was conducted, with SGD and Adam as optimizers. Results show the GRU model with Adam achieved the lowest RMSE (0.23) on road section 1, indicating its superior ability to model short-term fluctuations and non-linear growth in traffic volume. The study offers practical implications for traffic management by highlighting GRU’s capacity to capture seasonal trends and rapid growth, supporting proactive infrastructure planning and congestion mitigation strategies. These findings demonstrate the value of data-driven approaches in enhancing transportation systems in growing urban areas.
Co-Authors Akram Abdillah, Attar Alfajrin, Achmad Chalid Afif Algifari, Muhammad Habib Andika Setiawan Andre Febrianto Anggraini, Leslie Annisa, Resty Arham, Laode Bagaskara, Radhinka Chalid, Achmad AA Dani Hamdani Hamdani David Gunawan, David Duwi Harianto Duwi Hariyanto Dwi Nugroho, Eko Eko Dwi Nugroho Eko Nugroho Ermida Silitonga Febrianto, Andre Firmansyah, Hafiz Budi Firmansyah, Hafiz Budi Habib Algifari, Muhammad Ichwani, Arief Idris, Mohamad Ilham Firman Ashari Kartadilaga, Muhammad Qaessar Kisna Pertiwi Kisna Pertiwi, Kisna Kurniawansyah, Apri Lathifa Putri Afisna Lorini, Valerio M. Rizky Hikmatullah M. Yafi Fahmi Miranti Verdiana Mufidah, Zunanik Muhammad Nadhif Athalla Naufal Raki Nela Agustin Kurnianingsih Nur'azmi, Eka Paundra, Fajar Perdana, Agung Mahadi Putra Praseptiawan, Mugi Putro, Yoga Naufal Ray Radhinka Bagaskara Rahman Indra Kesuma Resty Annisa Resty Annisa Resty Annisa Annisa Rinaldi, Daniel Rio Ariestia Pradipta Rizkita, Alya Khairunnisa Sabar SABAR Sabar Sabar Solly Aryza Sophia Nouriska Untoro, Meida Cahyo Utoro, Meida Cahyo Vebriyanto, Mario Verdiana, Miranti Verlina Agustine Winarta, Richard Arya Winda Yulita Yulita, Winda