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Evaluasi Tingkat Kepuasan Pengguna Aplikasi Unmer Malang Digital Library Menggunakan Metode EUCS Muhammad Yusuf Aldiansyah; Andriyan Rizki Jatmiko
J-INTECH ( Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1324

Abstract

The Unmer Malang Digital Library application, an online platform established on December 14, 2023, has not yet been reviewed from a user satisfaction perspective since its inception. This study aims to evaluate user satisfaction with the application and test related hypotheses. Utilizing the End User Computing Satisfaction method and the Accidental Sampling technique for data collection, the results indicate that users are generally satisfied with the platform. Scores for various variables were: content at 3.89, accuracy at 4.15, layout averaging 4.06, ease of use at 4.11, and timeliness averaging 4. The study's hypothesis suggests that accuracy, format, and timeliness significantly affect user satisfaction, whereas content and ease of use do not have a notable impact.
Analisis Efektivitas E-Health Menggunakan Metode E-Govqual dan IPA Di Puskesmas Gading Kota Surabaya Gissela Legong; Andriyan Rizki Jatmiko
NUANSA INFORMATIKA Vol. 18 No. 1 (2024): Nuansa Informatika 18.1 Januari 2024
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v18i1.89

Abstract

E-Health, a public service that leverages Information Technology to enhance the health sector's knowledge base, faces developmental challenges. At Gading Health Center in Surabaya City, dissatisfied assessments of the health center's rating stem from discontent with both services and the e-Health system. Issues include disparities in service time compared to the targeted e-Health Service System queue, as well as variations between online registration times and the actual services provided at the health center. Moreover, human resource factors such as knowledge, experience, and technological skills among Gading Community Health Center staff significantly influence the successful implementation of the e-Health system. This study employs e-GovQual and IPA methods to evaluate the effectiveness of e-Government Implementation, focusing on dimensions like efficiency, trust, reliability, and citizen support. The research findings, analyzing the effectiveness of e-Health at Puskesmas Gading using e-GovQual and IPA methods, lead to the conclusion that the implementation of e-Health at Puskesmas Gading in Surabaya City positively impacts the quality of health services
Pengembangan Sistem Point of Sales Berbasis Laravel Filament Menggunakan Metode Pengembangan Aplikasi Cepat Syafi Razzaq, Farid; Rizki Jatmiko, Andriyan
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 16 No 01 (2026): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v16i01.2177

Abstract

Digital transformation is increasingly essential for improving operational efficiency and data accuracy in Micro, Small, and Medium Enterprises (MSMEs). However, MSMEs often face a dual challenge: the need for rapid system implementation and the limited technical literacy of system users, which creates a gap between complex system requirements and practical usability. This study applies and evaluates the effectiveness of the Rapid Application Development (RAD) methodology in developing a web-based Point of Sale (POS) system tailored to MSME operational characteristics. The research adopts an applied, design-oriented approach, emphasizing iterative prototyping and continuous user involvement to reduce adoption barriers. Rather than focusing on feature completeness, the study examines how RAD supports system usability and user acceptance among non-technical users. The proposed system was evaluated using the System Usability Scale (SUS) involving users with different operational roles. The results indicate that the iterative nature of RAD effectively bridges the gap between system complexity and user capability, as reflected by an average SUS score of 76.66, categorized as “Good”. These findings provide empirical evidence that RAD is a suitable development approach for MSME information systems, particularly in contexts requiring rapid deployment and high usability, and contribute to applied information systems research by highlighting the role of user-centered iteration in improving system acceptance.
Perancangan dan Pengembangan Sistem Terintegrasi untuk Pemesanan dan Analisis Penjualan Kurdi Maulana Bintang, Mohammad; Rizki jatmiko, Andriyan
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 16 No 01 (2026): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v16i01.2179

Abstract

This study presents the design and development of an integrated ordering and sales analysis system for Kaluna Living, a micro-enterprise specializing in handcrafted ceramic home goods. Prior to the system development, business operations relied on manual workflows for recording orders, processing custom product requests, and preparing monthly sales reports. These procedures resulted in slow transaction handling, higher risk of inconsistent data, and limited business visibility. The system was developed using the SDLC Prototyping model to enable iterative refinement through continuous user feedback. To evaluate usability, the System Usability Scale (SUS) was applied to representative user roles (customer, admin, and owner). The evaluation yielded an average SUS score of 81.66, which falls into the Excellent (Above Average) usability category, indicating that the system is perceived as easy to use, consistent, and learnable. The system supports centralized ordering workflows, custom request handling with image upload, and sales insight visualization that summarizes monthly revenue and order volume. The findings suggest that iterative prototyping contributes to usability improvements by refining navigation flow, clarifying form structures, and supporting streamlined operational workflows. This research contributes to applied system development for micro-enterprises by demonstrating how integrated digital ordering and analytics can improve operational efficiency and decision support in handcrafted product businesses.
Integrasi Heuristic Evaluation dan Cognitive Walkthrough sebagai Instrumen Penjaminan Mutu Desain User-Centered pada Sistem Informasi Jatmiko, Andriyan Rizki; Islama, Firnanda Achyunda Putra Al; Ismail, Muhammad
Jurnal Sistem Informasi Akuntansi Vol 7 No 1 (2026): : Periode Maret 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v7i1.12380

Abstract

User-centered design (UCD) has become essential in enterprise information system development. However, systematic and quantitatively validated usability assurance methods during the design phase remain underutilized. This study proposes and empirically validates a quantitative integration framework combining Heuristic Evaluation (HE) and Cognitive Walkthrough (CW) for enterprise usability assurance. A high-fidelity interactive enterprise dashboard prototype developed in Figma was evaluated by five expert reviewers using Nielsen’s ten heuristics and seven task-based walkthrough scenarios. After normalization and deduplication, the integrated approach identified 68 unique usability issues. HE contributed 42 issues, while CW identified 31 issues, with 39.7% overlapping findings. The proposed integration achieved a 61.9% coverage improvement compared to the best single method. Severity analysis revealed a Mean Severity Index of 2.24 and a Weighted Severity Score of 94 (HE) and 70 (CW), indicating moderate-to-high usability risk. Inter-rater reliability measured using Fleiss’ Kappa yielded κ = 0.78, demonstrating substantial agreement among evaluators. Additionally, the detection efficiency reached 2.47 issues per person-hour, supporting the framework’s practical feasibility. The findings demonstrate that the proposed integration framework enhances usability detection coverage, maintains high evaluation consistency, and provides a cost-effective approach for early-stage enterprise system design assurance.
Komparasi Metode SMOTE-Tomek dan SMOTE-ENN untuk Mengatasi Data Imbalanced Fandi Yulian Pamuji; Mohammad Dwi Irfan Affandi; Andriyan Rizki Jatmiko
Jurnal Informatika Polinema Vol. 12 No. 3 (2026): Vol. 12 No. 3 (2026)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i3.9550

Abstract

Perkembangan teknologi informasi dan data analisis saat ini mendorong meningkatnya pemanfaatan machine learning dalam berbagai bidang. Namun, salah satu permasalahan umum yang sering muncul dalam penerapan machine learning adalah kondisi data tidak seimbang (imbalanced data) yaitu ketidakseimbangan jumlah data antar kelas, di mana kelas mayoritas jauh lebih dominan dibandingkan kelas minoritas. Untuk mengatasi permasalahan dataset tidak seimbang adalah dengan menyeimbangkan distribusi kelas tidak seragam di antara kelas-kelas dengan komparasi menggunakan metode SMOTE-Tomek dan SMOTE-ENN supaya jumlahnya seimbang dari kelas mayoritas (negatif) maupun kelas minoritas (positif). Berdasarkan hasil eksperimen yang telah dilakukan dari penelitian ini yaitu bahwa pengujian metode SMOTE-Tomek dengan metode klasifikasi mampu menangani jumlah kelas mayoritas (negatif) dan kelas minoritas (positif) pada data tidak seimbang dengan menghasilkan nilai MCC dan G-mean mencapai kinerja prediksi yang lebih besar dibandingkan dengan menggunakan metode klasifikasi saja maupun menggunakan Metode SMOTE-ENN. Kemudian untuk dataset Binary nilai MCC dan G-mean yang paling tinggi menggunakan SMOTE-ENN + Random Forest dengan nilai tertinggi MCC = 0.99 dan nilai G-mean = 0.99 dari nilai MCC dan G-mean diatas akurasinya sudah bagus karena nilai MCC dan G-mean yang mendekati 1 menunjukkan bahwa model memiliki performa klasifikasi yang sangat baik dalam menangani data tidak seimbang dengan menggunakan Metode SMOTE-Tomek + Random Forest dapat mencapai kinerja prediksi yang lebih besar untuk menangani dataset tidak seimbang Binary. Hal tersebut menunjukkan bahwa proses penanganan terhadap distribusi kelas yang tidak seimbang pada tahap preprocessing data memberikan pengaruh terhadap nilai akurasi MCC maupun G-mean metode SMOTE-Tomek + Random Forest.