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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.
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.
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.
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 I Made Wirawan Imansyah, Pranadya Bagus Indriana, Poppy Kornelius Kamargo/Irawan Dwi Wahyono Kornelius Kamargo Kurniawan, Rizky Rizaldi M. Ardhika Mulya Pratama 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 Nazhiroh Tahta Arsyillah Nurhidayati Pindo Tutuko Poppy Indriana Purnawansyah Purnawansyah Qonita, Adiba Raja, Roesman Ridwan Rendy Yani Susanto Rhomdani, Rohmad Wahid Rizal, Muhammad Fatkhur Rosydah, Lucyta Qutsyaning Saifudin, Ilham 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