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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnas Nasional Teknologi dan Sistem Informasi Journal of Information Systems Engineering and Business Intelligence JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Komputer Terapan IT JOURNAL RESEARCH AND DEVELOPMENT Seminar Nasional Teknologi Informasi Komunikasi dan Industri Indonesian Journal of Electrical Engineering and Computer Science Teknika Jurnal Nasional Teknik Elektro dan Teknologi Informasi Proceeding International Applied Business and Engineering Conference JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Science, Technology, and Communication Journal
Dadang Syarif Sihabudin Sahid
Politeknik Caltex Riau
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An Investigation of the Student Learning Satisfaction Model for User Story Learning in Software Engineering Course Zul, Muhammad Ihsan; Mohd. Yasin, Suhaila; Sahid, Dadang Syarif Sihabudin
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.3089

Abstract

Software engineering courses are essential for students to become professional software engineers. These courses expose them to their first user stories (US). Despite extensive studies on US-related issues, quality remains the most prominently discussed topic. Therefore, it is essential to investigate US education in higher education to produce qualified software practitioners. In the educational context, such investigations are typically measured using the learning satisfaction approach. This study aims to investigate the suitability of the learning satisfaction model in software engineering courses, specifically in the US context. Subsequently, the study will identify opportunities for improving US teaching methods. The applied learning satisfaction model consists of four factors: perceived ease of use, perceived usefulness, learning motivation, and learning satisfaction. These factors are derived by combining the Technology Acceptance Model (TAM) and Learning Motivation Theory. The study employs Confirmatory Factor Analysis (CFA) using the partial least squares structural equation modelling (PLS-SEM). The measurement model and model evaluation fit stages are used to assess the suitability of the implemented learning satisfaction model. The structural model examines opportunities for improving the US teaching method based on the identified factors. The study involves 142 software engineering students as respondents. The results indicate that the current model requires adjustments in indicators and model fit, particularly SRMR and NFI, to align with the study. Regarding learning enhancement, the factors of perceived ease of use and perceived usefulness suggest that improvements in US teaching methods are necessary to increase student learning satisfaction in US learning.
Study of design thinking and software engineering integration in education and training Zul, Muhammad Ihsan; Mohd. Yasin, Suhaila; Sahid, Dadang Syarif Sihabudin
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp1384-1398

Abstract

Integrating design thinking (DT) with software engineering (SE) is widely applied in industry, serving as a reference for SE in education and training. The industry has various integration models, but researchers and educators mainly adapt them for education. A clear understanding of DT-SE integration models is essential to figuring out their implementation. This study examines existing DT-SE integration models, challenges, and integration methods using Kitchenham’s framework in education and training. The paper was collected from ScienceDirect, IEEEXplore, Scopus, ACM, SpringerLink, and Google Scholar, yielding 593 initial publications, with 43 selected for in-depth analysis. Findings indicate that the d.school model is the most widely adopted DT model. Key challenges include team dynamics, process management, complexity, and cultural factors. DT is integrated into requirements engineering (RE) due to its user-centered nature, though only two studies explicitly describe DT-SE integration models, both applied early in SE processes. These findings suggest educational practices align with industry trends in model adoption and integration focus. Educators and practitioners can use these insights to design or adapt integration models suitable for education and training by shaping curricula that emphasize user-centered design, collaboration, and the extension of DT practices beyond RE-strengthening its impact for education and training.
Identifikasi Domain Enterprise Architecture untuk Grand Design Riau Digital: Ulasan Literatur Sistematis Najwa, Nina Fadilah; Sahid, Dadang Syarif Sihabudin; Lestari, Indah
Jurnal Nasional Teknologi dan Sistem Informasi Vol 8 No 3 (2022): Desember 2022
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v8i3.2022.123-135

Abstract

Pemerintah Provinsi Riau sebagai sebuah organisasi perlu melakukan penyelarasan antara strategi bisnis dan strategi teknologi informasi. Grand Design Riau Digital merupakan salah satu wujud upaya penyelarasan strategi tersebut sesuai dengan kaidah Enterprise Architecture (EA). Penelitian-penelitian yang memfokuskan pada EA framework yang paling cocok dengan karakteristik pemerintah daerah masih terbatas jumlahnya. Oleh karena itu, pada penelitian ini akan dilakukan identifikasi domain EA yang dapat direkomendasikan sebagai dasar pengembangan Grand Design Riau Digital. Tahapan penelitian yaitu mendefinisikan pertanyaan penelitian (research question), sumber penelitian, menentukan kata kunci pencarian literatur, pemilihan literatur, sintesis dan ekstraksi data. Hasil penelitian ini mengulas 59 penelitian dan mengidentifikasi kerangka kerja EA yang telah digunakan. Ada 5 domain dalam transformasi digital menjadi rekomendasi Grand Design Riau Digital yaitu digital talent dan culture, tata kelola, kebijakan, infrastruktur TI, dan manajemen data.  Penelitian selanjutnya dapat mengidentifikasi lebih lanjut variabel masing-masing domain, dan menguji pada pemerintahan di daerah lainnya
Implementasi SEM-Multiple Linear Regression dalam Prediksi Jumlah Pendaftaran Mahasiswa Baru di Perguruan Tinggi XYZ Rahmadhani, Amelia; Sihabudin Sahid, Dadang Syarif; Lulu Widyasari, Yohana Dewi
Jurnal Nasional Teknologi dan Sistem Informasi Vol 9 No 2 (2023): Agustus 2023
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v9i2.2023.150-162

Abstract

Bagi perguruan tinggi swasta (PTS), tidak menutup kemungkinan semakin banyak mahasiswa baru yang diterima, maka PTS tersebut akan terus eksis. Sebaliknya, jika PTS gagal menambah atau bahkan menurunkan jumlah mahasiswa baru setiap tahunnya, hal itu bisa berubah dengan tidak mampu beroperasi lagi bagi PTS dikarenakan pendapatan mereka satu-satunya hanya dari biaya kuliah mahasiswa. Tujuan penelitian ini diantaranya penentuan faktor-faktor yang mendukung prediksi pendaftaran mahasiswa di perguruan tinggi berdasarkan data sebelumnya, mengimplementasikan Multiple Linear Regression terhadap pendaftaran mahasiswa di perguruan tinggi, dan menganalisis tingkat akurasi hasil prediksi pendaftaran mahasiswa di perguruan tinggi. Penelitian ini menggunakan algoritma Multiple Linear Regression. Sebelum melakukan tahap prediksi, terlebih dahulu menentukan faktor-faktor yang mempengaruhi jumlah penerimaan mahasiswa baru menggunakan Structural Equation Modeling (SEM) dengan faktor promosi, biaya Pendidikan, tingkat kelulusan, informasi pendafataran, jenis kelamin dan nilai akreditasi. Berdasarkan hasil SEM didapat faktor promosi, biaya Pendidikan, tingkat kelulusan, informasi pendafataran, dan nilai akreditasi, dapat dilanjutkan ke tahap berikutnya karena faktor tersebut berpengaruh signifikan terhadap mahasiswa baru, sedangkan hasil prediksi menggunakan Multiple Linear Regression didapat bahwa nilai prediksi untuk tahun berikutnya adalah 486 orang calon mahasiswa baru, dengan hasil perhitungan MSE adalah 2657,79 dan MAE adalah 42.29, dimana semakin kecil hasil nilai MSE dan MAE yang diperoleh maka kesalahan pada sistem juga semakin sedikit serta R2 adalah 0.9280 (92,80%) menandakan bahwa pengaruh semua struktur eksogen pada struktur endogen kuat.
Student-Generated User Story Quality: A Study on Practitioner and ChatGPT Evaluation Zul, Muhammad Ihsan; Yasin, Suhaila Mohd.; Sahid, Dadang Syarif Sihabudin
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 5 (2025): October 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i5.6950

Abstract

Evaluating the quality of student-generated user stories is important in software engineering education, but only a limited number of industry practitioners can assist. The integration of generative AI can facilitate this process. To do so, the INVEST quality evaluation framework is widely recognized for assessing user story quality; however, prior research has not explored its use in conjunction with generative AI. This study investigated ChatGPT's ability to evaluate user stories using the INVEST framework. This study compares two ChatGPT-based evaluation approaches with those of experienced practitioners, focusing on student-generated user stories. Discrepancies between ChatGPT and practitioner evaluations were measured using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). Statistical significance was tested using the Mann-Whitney U Test. The results indicate that ChatGPT’s 1st approach yielded lower discrepancies than practitioner evaluations. Moreover, significance testing showed no statistically significant differences between the ChatGPT and practitioner results for the two INVEST criteria- Independent and Estimable. These findings suggest that the 1st approach can assist in the evaluation process, although practitioners must ensure comprehensive and accurate evaluations. ChatGPT can provide preliminary evaluations in educational contexts, enabling students to receive formative feedback and allowing educators to streamline evaluation processes. Although practitioner validation is still required, their role may shift toward verifying AI-generated results, thus reducing the overall workload and accelerating quality evaluation
An Enhanced Model for Evaluating Learning Satisfaction in Teaching User Stories: A Confirmatory Factor Analysis Approach Zul, Muhammad Ihsan; Yasin, Suhaila Mohd.; Sahid, Dadang Syarif Sihabudin
Journal of Information Systems Engineering and Business Intelligence Vol. 12 No. 1 (2026): February
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background: Understanding how students experience and perceive learning through user stories provides valuable insights into the effectiveness of instructional design. Huang proposed a learning satisfaction framework in which students’ satisfaction emerges from four factors, namely perceived ease of use (PEOU), perceived usefulness (PU), learning motivation (PM), and overall learning satisfaction (LS). A recent study applied this model to teaching user stories in a software engineering course using Confirmatory Factor Analysis (CFA) and Partial Least Squares Structural Equation Modeling (PLS-SEM) but reported suboptimal model fit, with unsatisfactory SRMR and NFI values, indicating the need for refinement. Objective: This study aims to evaluates an enhanced learning satisfaction model for teaching user stories by identifying key influencing factors, examining their relationships, and assessing construct validity and model fit improvements. Methods: To improve the model, additional theoretical paths were introduced, and survey data were collected from 142 randomly selected software engineering students. The refined model was evaluated using CFA and PLS-SEM, with model fit improvements assessed through SRMR and NFI values. Results: The analysis revealed that PEOU and LM significantly influence learning satisfaction, while PU affects satisfaction indirectly through motivation. These interactions among PU, PEOU, and LM explain how ease of use and usefulness enhance motivation, which in turn increases satisfaction. Furthermore, the enhanced model showed an improved fit compared to the previous version, with SRMR values decreasing from 0.092 to 0.076 and NFI improving from 0.765 to 0.813, confirming better construct validity and overall model fit. Conclusion: The addition of new direct paths from PEOU and PU to LS increased the model’s R² and Q² values, indicating stronger construct validity and better overall fit. The refined structure provides a more accurate representation of how satisfaction is formed and offers a validated instrument for evaluating student learning experiences in teaching user stories within software engineering course.   Keywords: learning satisfaction, user story, confirmatory factor analysis, model fit evaluation, PLS-SEM, software engineering education.
Pelatihan Penyusunan Business Plan dengan Pendekatan Business Model Canvas bagi Siswa SMK dan SMA Qudsi, Dini Hidayatul; Lestari, Indah; Zain, Muhammad Mahrus; Helma, Siti Syahidatul; Trisnadoli, Anggy; Sahid, Dadang Syarif Sihabudin
JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Vol. 4 No. 1 (2026): JITER-PM
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jiter-pm.v4i1.6846

Abstract

Pembelajaran kewirausahaan di tingkat SMK dan SMA memiliki peran penting dalam membekali siswa dengan keterampilan perencanaan usaha sejak dini. Namun, dalam praktiknya, pembelajaran masih cenderung bersifat teoritis sehingga siswa belum terbiasa menyusun rencana bisnis secara terstruktur dan aplikatif. Kondisi ini juga ditemukan pada sekolah mitra, yaitu SMK Labor Pekanbaru dan SMAIT Al-Ittihad Rumbai, di mana siswa memiliki minat terhadap kewirausahaan tetapi masih mengalami kesulitan dalam memetakan ide usaha ke dalam model bisnis yang sistematis. Untuk menjawab permasalahan tersebut, kegiatan pengabdian kepada masyarakat ini dilaksanakan melalui workshop penyusunan business plan menggunakan pendekatan Business Model Canvas (BMC). Kegiatan dilaksanakan melalui tahapan persiapan, pelaksanaan, dan evaluasi. Workshop dilakukan secara interaktif melalui penyampaian materi dan praktik langsung penyusunan BMC dengan pendampingan dosen dan mahasiswa serta pemanfaatan media digital Canva. Evaluasi dilakukan berdasarkan penilaian hasil business plan yang disusun peserta. Hasil kegiatan menunjukkan bahwa siswa mampu mengidentifikasi elemen utama BMC dan menyusun rancangan usaha sederhana secara lebih sistematis.
Co-Authors Agus Urip Ari Wibowo Amelia Rahmadhani Anggy Trisnadoli Apriantoni Apriantoni Bayu Hanif Pratama Dedi Irawan Dini Hidayatul Qudsi Dirman Hanafi Dziki Adli Fadhilla, Mutia Haryana Hairi Indah Lestari Indah Lestari Indah Lestari, Indah Juni Nurma Sari Juni Nurma Sari Kartina Diah Kusuma W Khairul Umam Syaliman Kurnia Rahman Agus Lulu Widyasari, Yohana Dewi Maksum Ro’is Adin Saf Mohd. Yasin, Suhaila Muhammad Ihsan Zul Muhammad mahrus zain Muhammad Syahri Mutia Fadhilla Najwa, Nina Fadilah Okfalisa Okfalisa Purwanto Purwanto maspur Rahmadhani, Amelia Rangga, Adityapati Romi Fadli Syahputra Saf, Maksum Ro’is Adin Saktioto Saktioto Satria Perdana Arifin Sellya Meizenty Siti Syahidatul Helma Stefant Cristian sugianto Syabdan Dalimunthe Syamsudhuha Syamsudhuha Tomari, M. Razali Vepy Asyana Wahyu Candra Wahyuni, Retno Tri Wawan Kurniawan Wedy Freddy Santoso Winnie Alison Yasin, Suhaila Mohd. Yohana Dewi Lulu Widyasari