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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Jurnal Pendidikan Sains Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization Jurnal Pendidikan (Teori dan Praktik) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Ilmiah Flash JITK (Jurnal Ilmu Pengetahuan dan Komputer) JTAM (Jurnal Teori dan Aplikasi Matematika) ILKOM Jurnal Ilmiah SENTIA 2016 MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Community Development Journal: Jurnal Pengabdian Masyarakat Letters in Information Technology Education (LITE) Indonesian Journal of Instructional Media and Model Jurnal Pengabdian UNDIKMA Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) Bulletin of Community Engagement Indonesian Journal of Innovation Studies Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) JAPI: Jurnal Akses Pengabdian Indonesia JP (Jurnal Pendidikan) : Teori dan Praktik JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Journal of Artificial Intelligence and Digital Business Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal ilmiah teknologi informasi Asia
Triyanna Widiyaningtyas
Universitas Negeri Malang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Pemanfaatan Genially dalam Pengembangan Media Interaktif untuk Materi Opini dan Fakta Informatika Kelas VIII Mohamad Yusuf Kurniawan; Triyanna Widiyaningtyas; Satria Putra Pratama
Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) Vol. 5 No. 3 (2025): Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI), 2025 (3)
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/jppi.v5i3.1739

Abstract

Tuntutan perkembangan teknologi yang semakin pesat mendorong kreativitas pendidik dalam memanfaatkan teknologi untuk kegiatan belajr mengajar. Pemanfaatan teknologi untuk proses belajar yang lebih interaktif bisa dilakukan dengan membuat media pembelajaran yang sesuai dengan kebutuhan peserta didik. Materi opini dan fakta elemen DSI mata pelajaran informatika menjadi pengetahuan penting bagi peserta didik untuk mengembangkan pengetahuan dan keterampilan terkait etika dan tanggung jawab sebagai masyarakat digital. Tujuan dari penelitian yang dilakukan yaitu mengembangkan media belajar interaktif menggunakan Genially dengan melihat kelayakan serta efektifitas media pada materi opini dan fakta informatika kelas VIII. Metode penelitian dan pengembangan (R&D) digunakan dalam penelitian ini, dengan mengadopsi model pendekatan ADDIE melalui 5 tahapan proses pengembangan. Metode pengumpulan data yang dilakukan berasal dari angket uji ahli dan angket pengguna, selain itu terdapat data efektivitas media yang berasal dari perbandingan skor pre-test dan post-test. Perolehan data uji kelayakan media mendapatkan klasifikasi sangat layak dengan skor 93% dan untuk hasil uji kelayakan materi memperoleh skor 83% dengan klasifikasi sangat layak. Media pembelajaran yang dihasilkan terbukti sangat praktis digunakan pengguna dengan rata-rata skor 84%. Pengujian efektivitas media menunjukkan adanya peningkatan rata-rata hasil belajar peserta didik sebesar 11%. Media yang dikembangkan dinilai sangat layak dan terbukti memberikan hasil positif untuk memaksimalkan hasil belajar.
Pengembangan e-LKPD Interaktif Berbasis Liveworksheets sebagai Sarana Pembiasaan Berpikir Kritis Peserta Didik Moh. Robieth Alfan Alhamid; Triyanna Widiyaningtyas; Satria Putra Pratama
Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) Vol. 5 No. 3 (2025): Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI), 2025 (3)
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/jppi.v5i3.1794

Abstract

Perkembangan teknologi memberikan peluang besar untuk meningkatkan kualitas pembelajaran, seperti penggunaan media digital. Penelitian ini bertujuan untuk mengembangkan e-LKPD interaktif berbasis Liveworksheets yang berfungsi sebagai sarana untuk pembiasaan peserta didik berpikir kritis dalam proses pembelajaran. Penelitian menerapkan metode Research and Development (R&D), menggunakan model pengembangan 4D (Define, Design, Develop, Disseminate). Data dikumpulkan melalui observasi, tes diagnostik, wawancara, validasi ahli, serta angket respon peserta didik. Perolehan hasil penelitian berupa data kuantitatif dan kualitatif. Hasil validasi ahli media didapatkan persentase kelayakan 85% dan ahli materi 82%, keduanya termasuk sangat layak. Pengujian kelompok kecil diperoleh persentase 88,4% dan pada kelompok besar diperoleh 83%, keduanya menunjukkan bahwa pembiasaan berpikir kritis peserta didik dapat dilatih menggunakan e-LKPD yang dikembangkan. e-LKPD ini mengintegrasikan pendekatan Culturally Responsive Teaching (CRT) dan Teaching at the Right Level (TaRL) untuk menyesuaikan materi dengan karakteristik peserta didik. Melalui penelitian ini disimpulkan bahwa pemanfaatan Liveworksheets untuk mengembangkan e-LKPD dapat menjadi alternatif dalam membiasakan peserta didik mampu berpikir kritis pada konteks pembelajaran informatika di SMP.
Educational Data Mining: Multiple Choice Question Classification in Vocational School Sucipto Sucipto; Didik Dwi Prasetya; Triyanna Widiyaningtyas
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3499

Abstract

Data mining on student learning outcomes in the education sector can overcome this problem. This research aimed to provide a solution for selecting quality multiple choice questions (MCQ) using the results of students’ mid-semester exams in vocational high schools using a Data Mining approach. The research method used was the Cross-Industry Standard Process for Machine Learning (CRISP-ML) model. Steps to assess the accuracy of analyzing the difficulty level of questions based on student profile data and midterm test results. The data used in this research were the findings of basic computer tests on mid-term exams in mathematics disciplines at vocational high schools. This research used several classification algorithms, including SVM, Naive Bayes, Random Forest, Decision Three, Linear Regression, and KNN. The results of evaluating the classification
PENERAPAN MESIN SPINNER BERBASIS INVERTER UNTUK MENINGKATKAN PRODUKTIVITAS DAN KUALITAS KACANG METE PADA UMKM DININAS Widiyaningtyas, Triyanna; Mustika, Soraya Norma; Mahandi, Yogi Dwi; Akbar, Muhammad Iqbal; Sujito, Sujito; Falah, Moh Zainul
Jurnal Pengabdian Pendidikan Masyarakat (JPPM) Vol 4 No 2 (2023): Jurnal Pengabdian Pendidikan Masyarakat Vol 4 No 2 (2023)
Publisher : LPPM UNIVERSITAS MUHAMMADIYAH MUARA BUNGO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jppm.v4i2.1370

Abstract

Cashew nuts are the fruit of the cashew plant, the most important of which is the cashew nut itself. Cashews are one of the most traded nut products. One of the MSMEs located in Singosari, Malang Regency is an MSME engaged in processed food products, namely cashew nuts. This MSME is called Dininas. This business was initiated by Mrs. Dini Mei Nastiti and has been established since 2018. Mrs. Dini's business produces around 10 – 50 kg per day with production in the form of cashew nuts. The problem faced by partners is the slicing process which still uses the conventional method, namely draining naturally by placing it in a container covering it with oil-absorbing paper, and then aerating it. Therefore the solution that is relevant in community service is the application of Inverter-based Spinner machines are more optimal, hygienic, and efficient to increase the amount of production. It is hoped that this community service with the application of Inverter-based Spinner machines can help Dinias SMEs in producing cashew nuts and meet demands from consumers. In addition, this machine is also expected to increase the productivity, quantity, hygiene, and quality of cashew nuts as well as increase profits for business managers.
Ethical Challenges in Primary vs. Secondary Datasets: A Systematic Review of Manipulation and Transparency Riska, Suastika Yulia; Widiyaningtyas, Triyanna; Elmunsyah, Hakkun; Sendari, Siti
Jurnal Ilmiah Teknologi Informasi Asia Vol 20 No 1 (2026): Volume 20 Issue 1 2026 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.1227

Abstract

The swift advancements in Artificial Intelligence and Machine Learning have rendered datasets essential; nonetheless, their heightened utilization has engendered intricate ethical dilemmas that are frequently neglected. This study seeks to delineate and highlight ethical concerns associated with the collection of primary data and the reutilization of secondary datasets in computer science research. We employed a Systematic Literature Review (SLR) methodology in accordance with the PRISMA 2020 guidelines, examining 72 publications sourced from five esteemed academic databases (Scopus, Web of Science, IEEE Xplore, ACM Digital Library, Google Scholar) published from 2021 to 2025. The study results indicate that ethical difficulties emerge uniformly in both primary and secondary datasets. Primary datasets primarily face challenges related to privacy threats, anonymization, and Informed Consent, whereas secondary datasets are more susceptible to licensing infringements, dataset repurposing, and insufficient preparation transparency. The three domains that predominantly encountered these challenges were Machine Learning, Computer Vision, and Natural Language Processing. Moreover, practices of data manipulation, including cherry-picking and concealed preparation, were identified as detrimental to scientific integrity. This study's findings underscore the need for enhanced ethical standards for datasets and greater transparency in preparation documentation to ensure the repeatability of data-driven research.
EVALUATION OF CITIZEN SCIENCE PARTICIPANTS' SATISFACTION WITH GEOSPATIAL TECHNOLOGY IN SMART GOVERNANCE Sari, Heni Vidia; Arief, M. Habibullah; Widiyaningtyas, Triyanna
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.9232

Abstract

IT productivity paradox phenomenon shows that increasing investment in information technology is not always followed by increasing productivity or user satisfaction. In the context of smart governance, citizen science becomes a strategic approach to evaluate the effectiveness of geospatial technology. This study explores the relationship between self-efficacy, spatial abilities, and user knowledge of system quality and information quality and their impact on user satisfaction. The case study was conducted on the Sistem Informasi Penataan Ruang (Si-Petarung) of Malang City. The results showed that self-efficacy has the most dominant influence on system quality with a dominance value of 40.5%, and user knowledge has the greatest impact on information quality with a dominance value of 32.29%. Information quality is also proven to be the most significant factor in increasing user satisfaction with a dominance value of 47.93%. These findings emphasize the importance of individual abilities, system quality, and information quality in supporting the successful implementation of geospatial technology and provide a basis for developing a system that is more inclusive and responsive to user needs.
Comparative Study of Random Forest and Ordinal Regression in Concept Map Quality Assessment: The Role of TF-IDF, BERT, and SMOTE-based Balancing Rismayanti, Nurul; Prasetya, Didik Dwi; Widiyaningtyas, Triyanna; Hirashima, Tsukasa
ILKOM Jurnal Ilmiah Vol 17, No 3 (2025)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v17i3.2906.336-345

Abstract

Automatic assessment of concept map quality is an important challenge in the field of education, particularly in evaluating students' conceptual understanding objectively and efficiently. This study aims to compare the performance of two machine learning algorithms, namely Random Forest and Ordinal Regression, in classifying the quality of concept maps. The evaluation was conducted on three approaches to text feature representation: Term Frequency-Inverse Document Frequency (TF-IDF), Bidirectional Encoder Representations from Transformers (BERT), and a combination of both (TF-IDF + BERT). Additionally, this study compares the performance of the models under two dataset conditions: original data and data balanced using the Synthetic Minority Over-sampling Technique (SMOTE), to address the class imbalance that often occurs in educational data. The data used consists of a collection of propositions from students' concept maps that have been labeled with ordinal scores based on quality. Text representation is extracted using the TF-IDF and BERT approaches, and then used as input to build the classification model. Performance evaluation was conducted using the metrics of Accuracy, Precision, Recall, F1-score, Cohen’s Kappa, and MAE. The results show that the Ordinal Regression model with TF-IDF representation combined with SMOTE achieved the best performance, with an accuracy of 0.8777, an F1-score of 0.8773, and a Cohen’s Kappa of 0.7701. These results indicate that classical feature representations like TF-IDF remain effective in limited data scenarios, and that the SMOTE technique successfully improved the model's performance by reducing bias towards the majority class. This research contributes to the development of an automatic concept map assessment system and suggests optimal classification strategies for educational datasets with ordinal and imbalanced characteristics
Pengembangan Self-Management melalui PjBL untuk Meningkatkan Kemampuan Computational Thinking pada Pembelajaran Informatika Fase D: Penelitian Natasya Titania Ramadhanti; Triyanna Widiyaningtyas; Satria Putra Pratama
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 4 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 4 Tahun 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

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

Abstract

Purpose – This Classroom Action Research (CAR) aims to develop students’ self-management and enchance their computational thinking skills through the implementation of the Project-based Learning (PjBL) model in Informatics learning for Phase D. The study focuses on how PjBL can be used not only to improve cognitive skills, but also to promote personal responsibilities and autonomy in students’ learning. Methods – The study was conducted in two cycles, each comprising the stages of planning, action, observation, and reflection stages. The research subjects were seventh-grade students at a junior high school in Malang. Data were collected through multiple methods, including observation, interviews, and documentation, to ensure a comprehensive understanding of the learning process and outcomes. Findings – The findings indicate that the application of PjBL effectively improves students’ independence in managing time, tasks, and their own learning processes. Moreover, students demonstrated significant improvement in computational thinking skills. Research Implications – Based on the findings, PjBL has been proven to be an effective approach for enhancing meaningful learning experiences, foster active student engagement, and support the development of 21st-century skills.
Literature Review: Ethical Perspectives in the Development of Artificial Intelligence and Recommender Systems Utami, Sri Farida; Elmunsyah, Hakkun; Widiyaningtyas, Triyanna
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.4364

Abstract

The development of Artificial Intelligence (AI) and recommendation systems has had a major impact on various digital service sectors, including social media, e-commerce, and healthcare. Although this technology offers efficiency and personalised services, its implementation also raises complex ethical challenges, such as privacy protection, algorithmic bias, and system accountability. This study aims to analyse ethical perspectives in the development of AI and recommendation systems through a literature review approach. The methods used include analysis of various scientific articles classified into several main ethical dimensions, namely data privacy and security, algorithmic fairness, social media and recommendation systems, digital communication, and educational and publication ethics. The results of the study show that issues of privacy, transparency, and the potential for user behaviour manipulation are dominant issues. Ethics in AI no longer functions solely as an individual value, but as the foundation of responsible and sustainable institutional governance.
Pengembangan SIBAKOS dengan Teknologi Live Preview Berbasis MyWebAR pada UMKM Barbershop di Lowokwaru Kota Malang Ramdhani, Muhammad Ilham; Salsabila, Nabila; Widiyaningtyas, Triyanna; Sari, Heni Vidia
Jurnal Pengabdian UNDIKMA Vol. 7 No. 2 (2026): May
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i2.18288

Abstract

This community service program aims to develop a website-based information system called SIBAKOS (Koko Salon Barbershop Information System) to address the operational problems of a barbershop MSME through online reservation and live preview features. The implementation methods included participatory system design, development of live preview and online reservation features, system implementation, functional testing using the black-box method, and direct training. Evaluation instruments consisted of field observations, interviews, and daily reservation data records, which were analyzed descriptively using quantitative methods. The results showed that SIBAKOS successfully facilitated the management of daily reservations through a structured system, reduced overlapping schedule cases from 5–7 cases per week to 1–2 cases per week, and improved operational efficiency by 78%. The live preview feature using MyWebAR provided visual references that facilitated communication between customers and salon staff, reducing consultation time by an average of 3–7 minutes per customer. System implementation demonstrated that SIBAKOS had a positive impact on Koko Salon by improving service quality and operational efficiency in the digital era.
Co-Authors - Ardiansyah, - Abdul Hadi, Afif Adam Ramadhani P Adiba Qonita Ahmad Farobi Ahmad Fuadi Aji P Wibawa Aji Prasetya Wibawa Ali, Waleed Annas Gading Pertiwi Arif Mudi Priyatno Aya Shofia Mufti Bambang Nurdewanto Bintang Romadhon Binti Afifah Brilliant, Muhammad Zidan Budi Wibowotomo Darwis, Herdianti Dasuki, Moh. Didik Dwi Prasetya Ega Gefrie Febriawan Elta Sonalitha Fadhlullah, Aufar Faiq Fadli Hidayat, M. Noer Falah, Moh Zainul Fitriyah Fitriyah Fitriyah Fitriyah Gading Pertiwi, Annas Gamma Fitrian Permadi Hairani Hairani Hakkun Elmunsyah Haviluddin Haviluddin Hazizah, Chalista Yulia Heru Wahyu Herwanto Hirashima, Tsukasa I Made Wirawan Imansyah, Pranadya Bagus Indriana, Poppy Kornelius Kamargo/Irawan Dwi Wahyono Kornelius Kamargo Kurniawan, Rizky Rizaldi M. Ardhika Mulya Pratama M. Habibullah Arief M. Zainal Arifin Martin Indra Wisnu Prabowo Maryani, Sri Moh Zainul Falah Moh. Robieth Alfan Alhamid Mohamad Yusuf Kurniawan Muhammad Afnan Habibi Muhammad Firman Aji Saputra Muhammad Iqbal Akbar Muhammad Jauharul Fuady Muhammad Rizki Irwanto Mulki Indana Zulfa, Mulki Indana Mulya Pratama, M. Ardhika Nafalski, Andrew Natasya Titania Ramadhanti Nazhiroh Tahta Arsyillah Nurhidayati Pindo Tutuko Poppy Indriana Purnawansyah Purnawansyah Qonita, Adiba Raja, Roesman Ridwan Ramdhani, Muhammad Ilham Rendy Yani Susanto Rhomdani, Rohmad Wahid Rismayanti, Nurul Rizal, Muhammad Fatkhur Rosydah, Lucyta Qutsyaning Saifudin, Ilham Salsabila, Nabila Sari, Heni Vidia Satria Putra Pratama Setiadi Cahyono Putro Shandy Krisnawan Sihombing, Wesly M Siti Sendari Soenar Soekopitojo Soraya Norma Mustika Sri Farida Utami Suastika Yulia Riska Sucipto Sucipto Sucipto Sucipto Sujito Sujito Syaad Patmanthara Syah, Abdullah Iskandar Syamsul Arifin Utomo Pujianto Wahyu Caesarendra Wahyu Sakti Gunawan Wahyu Sakti Gunawan Irianto Wibawa, Aji P Wisnu Prabowo, Martin Indra Yogi Dwi Mahandi Yuniardini, Fatma