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All Journal dCartesian: Jurnal Matematika dan Aplikasi JOINTER : Journal of Informatics Engineering Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi International Journal of Educational Technology and Society d'Cartesian: Jurnal Matematika dan Aplikasi International Journal of Information Technology and Business Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Journal of Vocational, Informatics and Computer Education
Daniel Riano Kaparang
Universitas Negeri Manado
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Perancangan dan Implementasi Sistem Informasi Praktik Kerja Lapangan Jurusan PTIK Universitas Negeri Manado Tumundo, Teofilus; Kaparang, Daniel Riano; Rianto, Indra
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 4 No. 4 (2024): EduTIK : Agustus 2024
Publisher : Jurusan PTIK Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/edutik.v3i6.9390

Abstract

ABSTRAK Penelitian ini bertujuan untuk mengembangkan suatu sistem informasi sebagai prasarana untuk pengolahan laporan Praktik Kerja Lapangan di Jurusan Pendidikan Teknologi Informasi dan Komunikasi, Universitas Negeri Manado. Sistem informasi yang dibuat ditujukan untuk mempermudah kegiatan pengolahan, baik itu laporan PKL mahasiswa, proses penentuan dosen pembimbing PKL, penilaian aktivitas mahasiswa dalam kegiatan PKL, dan proses penginputan nilai oleh dosen pembimbing PKL. Tahapan Metode yang digunakan pada penelitian ini yaitu Adaptive Software Development (ASD), dimana terdiri dari tiga tahapan antara lain: Speculation, Collaboration, dan Learning. Pengujian yang dilakukan dalam mentukan kelayakan sistem informasi adalah menggunakan blackbox testing. Blackbox testing digunakan untuk menguji apakah sistem informasi yang telah dibuat berjalan sesuai dengan fungsi dan desain yang telah direncanakan. Pengujian menggunakan blackbox testing yang dilkasanakan untuk menentukan kelayakan aplikasi baik dari segi fungsi telah dinyatakan berhasil memenuhi kriteria. ABSTRACT This research aims to develop an information system as a means for processing internship reports in the Department of Information and Communication Technology Education at Manado State University. The created information system is intended to facilitate the processing activities, including student internship reports, the assignment of internship supervisors, the assessment of student activities during internships, and the input of grades by internship supervisors. The method used in this research is Adaptive Software Development (ASD), which consists of three stages: Speculation, Collaboration, and Learning. The testing conducted to determine the feasibility of the information system uses black-box testing. Black-box testing is used to verify whether the developed information system functions according to the planned design. The black-box testing conducted to determine the application's feasibility has been successfully proven to meet the criteria from a functional perspective.
Pengembangan Modul Pembelajaran Informatika di SMA Berbasis Video Interaktif Wowor, Christaria Edwina Priscilia; Rianto, Indra; Kaparang, Daniel Riano
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 5 No. 3 (2025): EduTIK : Juni 2025
Publisher : Jurusan PTIK Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/edutik.v5i3.11704

Abstract

ABSTRAK Pendidikan merupakan landasan utama dalam meningkatkan kualitas sumber daya manusia dan merupakan tanggung jawab bersama antara negara dan warganya. Perkembangan teknologi, khususnya dalam bidang komputer dan media digital, memberikan peluang besar dalam inovasi pembelajaran. Salah satu bentuk inovasi tersebut adalah penggunaan video pembelajaran yang interaktif. Video memiliki keunggulan dalam menyampaikan informasi melalui kombinasi visual, audio, dan animasi, sehingga mampu meningkatkan minat serta pemahaman siswa terhadap materi. Hasil observasi di SMA Negeri 2 Tondano menunjukkan kurangnya penggunaan video pembelajaran pada mata pelajaran Informatika, yang berdampak pada rendahnya partisipasi dan antusiasme siswa dalam pembelajaran. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan modul pembelajaran berbasis video interaktif pada mata pelajaran Informatika dengan menggunakan metode Research and Development (R&D) melalui prosedur pengembangan Analysis, Design, Development, Implementation, and Evaluation (ADDIE). Diharapkan, modul ini dapat menjadi alternatif solusi untuk meningkatkan efektivitas proses pembelajaran serta hasil belajar siswa. ABSTRACT Education is the main foundation in improving the quality of human resources and is a shared responsibility between the state and its citizens. The development of technology, especially in the fields of computers and digital media, provides great opportunities for learning innovation. One form of this innovation is the use of interactive learning videos. Videos have the advantage of conveying information through a combination of visuals, audio, and animation, so that they can increase students' interest and understanding of the material. The results of observations at SMA Negeri 2 Tondano showed the lack of use of learning videos in Informatics subjects, which resulted in low student participation and enthusiasm in learning. Therefore, this study aims to develop an interactive video-based learning module in Informatics subjects using the Research and Development (R&D) method through the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) development procedure. It is hoped that this module can be an alternative solution to improve the effectiveness of the learning process and student learning outcomes.
The Distribution Pattern of New Students Admissions Using the K-Means Clustering Algorithm Mercylia Jillsy Miranda Moningkey; Daniel Riano Kaparang; Herry Sumual
International Journal of Information Technology and Business Vol. 6 No. 2 (2024): April: International Journal of Information Technology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.622024.01-10

Abstract

The characteristics of prospective new students who re-register can produce a distribution pattern of new student admissions according to the data obtained. The results of the distribution pattern can be used as material for decision making in determining the socialization and promotion of study programs at universities. To produce a pattern, it requires grouping based on data that has the same character. The k-means algorithm, which is an algorithm in data mining processing methods for clustering, is successful in classifying new student admissions by maximizing the similarity of characteristics between data in one cluster which is different from data in other clusters. This is evidenced by direct application based on data mining procedures to data on new student admissions for Engineering Faculty, Manado State University for 2018, 2019, and 2020 with 8 selected variables. After clustering using the RStudio application, Data 2018 generates 6 clusters, 2019 data generates 3 clusters, and 2020 data generates 4 clusters. There are some re-registration characteristics that are common to all three years, which can be read easily after clustering.
Implementasi Algoritma Random Forest untuk Klasifikasi Judul Skripsi berdasarkan Bidang Konsentrasi pada Jurusan PTIK Universitas Negeri Manado Torondek, Diego Cristoforus Hizkia; Kaparang, Daniel Riano; Pardanus, Rudy Harijadi Wibowo
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 5 No. 6 (2025): EduTIK : Desember 2025
Publisher : Jurusan PTIK Universitas Negeri Manado

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

Abstract

Perkembangan teknologi informasi yang pesat telah memberikan dampak signifikan dalam dunia pendidikan, termasuk pada aspek pengelolaan data akademik di perguruan tinggi. Di Jurusan Pendidikan Teknologi Informasi dan Komunikasi (PTIK) Universitas Negeri Manado, salah satu permasalahan yang dihadapi adalah pengelompokan judul skripsi mahasiswa berdasarkan bidang konsentrasi, seperti Rekayasa Perangkat Lunak (RPL), Teknik Komputer dan Jaringan (TKJ), serta Multimedia. Proses klasifikasi secara manual sering menimbulkan kesulitan akibat kemiripan lintas bidang dan penggunaan istilah yang ambigu. Untuk mengatasi permasalahan tersebut, penelitian ini menerapkan metode data mining dengan algoritma Random Forest guna mengklasifikasikan judul skripsi secara otomatis berdasarkan bidang konsentrasi. Proses ini melibatkan teknik Natural Language Processing (NLP), seperti tokenisasi, pembersihan data, ekstraksi fitur, dan representasi vektor. Algoritma Random Forest dipilih karena kemampuannya dalam menangani data berdimensi tinggi, mengurangi overfitting, dan menghasilkan prediksi yang stabil serta akurat. Hasil penelitian diharapkan mampu meningkatkan efisiensi pengelolaan data akademik, mendukung pengambilan keputusan berbasis data, serta memberikan gambaran tren penelitian mahasiswa di PTIK. Selain kontribusi praktis dalam pengelolaan skripsi, penelitian ini juga menjadi implementasi nyata penerapan machine learning di bidang pendidikan tinggi, sekaligus membuka peluang pengembangan sistem cerdas untuk analisis topik penelitian di masa depan.
Reconceptualizing Digital Literacy Through Critical Pedagogy: Implications for Technology Integration and Social Transformation in Education Gunawan Prayitno; Daniel Riano Kaparang
International Journal of Educational Technology and Society Vol. 2 No. 4 (2025): December: International Journal of Educational Technology and Society
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijets.v2i4.467

Abstract

This study explores the integration of critical pedagogy with digital literacy, aiming to reconceptualize digital literacy beyond its traditional focus on technical proficiency and operational skills. Traditional digital literacy models emphasize the ability to navigate and use technology, primarily focusing on operational tasks such as managing digital devices, utilizing software, and performing specific functions. However, these models often overlook the broader implications of technology on society, including its role in shaping power dynamics and perpetuating social inequalities. By integrating critical pedagogy, this study argues that digital literacy should not only encompass technical skills but also encourage learners to critically assess the social, political, and cultural implications of digital tools. The critical digital literacy approach promotes social justice, equity, and empowerment by encouraging learners to question, reflect on, and challenge the ways in which technology influences their lives and society at large. Through critical engagement with digital tools, learners are empowered to challenge existing power structures, fostering social transformation. The study discusses how educators can integrate critical digital literacy into teaching practices, moving beyond traditional skill based models by encouraging critical thinking, ethical use of technology, and a deeper understanding of the role digital technologies play in shaping societal structures. Moreover, the study highlights the transformative potential of critical digital pedagogy, proposing it as a tool for educational equity and social change. By reconceptualizing digital literacy through a critical pedagogical lens, this study offers a framework that empowers students to become not just proficient digital users but active participants in societal transformation, contributing to a more inclusive and just digital future. The study also suggests areas for future research, including empirical investigations on the practical implementation of critical digital literacy frameworks across various educational settings and contexts.
Machine Learning Classification of Teacher Professional Development Outcomes in North Sulawesi Stralen Pratasik; Arje Cerullo Djamen; Made Krisnanda; Daniel Riano Kaparang
Journal of Vocational, Informatics and Computer Education Vol 4, No 2 (2026): June 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i2.870

Abstract

Purpose – This study aims to develop and evaluate a machine learning-based classification framework for predicting teacher professional development outcomes in North Sulawesi and to compare the predictive performance of several supervised learning algorithms Methods – A quantitative cross-sectional predictive analytics design was employed involving 520 teachers from primary, lower secondary, and upper secondary schools. Data were collected through validated questionnaires and training evaluation instruments measuring demographic, motivational, institutional, and instructional variables grounded in the Professional Learning Community (PLC) and Technological Pedagogical Content Knowledge (TPACK) frameworks. Five machine learning algorithms, namely Support Vector Machine (SVM), Random Forest (RF), k-Nearest Neighbors (kNN), Naïve Bayes (NB), and Decision Tree (DT), were implemented and evaluated using 20-fold stratified crossFindings – The results revealed that SVM achieved the best performance with an AUC of 93.6%, accuracy of 86.9%, F1-score of 86.9%, and MCC of 73.5%, outperforming RF, NB, DT, and kNN. The findings indicate that teacher development outcomes are influenced by complex interactions among motivational, organizational, and technological factors. Institutional support, collaborative school culture, and technological readiness emerged as critical determinants of successful professional development. Research implications – The cross-sectional design and reliance on questionnaire-based measures limit causal interpretation and generalizability beyond the study context. Originality –This study extends educational data mining research beyond student-centered analytics by integrating PLC and TPACK perspectives into a machine learning framework for teacher professional development evaluation in a developing-country context, providing evidence-based insights for educational policy and intervention planning.
Rancang Bangun Sistem Monitoring Aktivitas Siswa Berbasis Teknologi Mobile Terintegrasi di SMK Negeri 1 Tenga Ricardo Karu; Daniel Riano Kaparang; Arje Cerullo Djamen
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 6 No. 2 (2026): EduTIK : April 2026
Publisher : Jurusan PTIK Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67142/edutik.v6i2.352

Abstract

Penelitian ini dilatarbelakangi oleh sistem monitoring aktivitas dan absensi siswa di SMK Negeri 1 Tenga yang masih bersifat manual, sehingga rentan terhadap kesalahan pencatatan, keterlambatan rekapitulasi data, serta kurangnya transparansi informasi bagi orang tua. Tujuan penelitian ini adalah untuk merancang dan membangun sistem monitoring aktivitas siswa berbasis teknologi mobile Android yang terintegrasi guna mengelola kehadiran, memantau lokasi siswa, dan menyajikan informasi secara real-time. Metodologi yang digunakan adalah Research and Development (R&D) dengan pendekatan Agile Scrum yang meliputi tahapan product backlog, sprint planning, sprint, sprint review, dan sprint retrospective. Sistem ini dibangun menggunakan Android Studio dengan integrasi layanan backend Firebase, serta fitur utama berupa absensi berbasis QR Code, pelacakan lokasi melalui geo-fencing, dan notifikasi otomatis kepada orang tua melalui Firebase Cloud Messaging. Hasil penelitian menunjukkan bahwa aplikasi ini "Sangat Layak" digunakan berdasarkan validasi ahli dan respons pengguna yang mencapai persentase rata-rata di atas 87%. Kesimpulannya, pengembangan sistem monitoring berbasis mobile ini berhasil menciptakan solusi teknologi yang transparan dan efisien dalam meningkatkan kedisiplinan siswa serta memperkuat kolaborasi antara pihak sekolah dan orang tua di SMK Negeri 1 Tenga.  
Co-Authors Aldy Batunan Alfrina Mewengkang Andre Rumengan Arje Cerullo Djamen Batuallo, Charles Rasyid Batunan, Aldy Brahmana, Jesa Wirananta Brenda Imelda Karisoh Charles Rasyid Batuallo Christaria Edwina Priscilia Wowor Cindy Claudia Dengah Dani Orlando Danius Kolibu Darma Fijai Poluan Dengah, Cindy Claudia Dhanu, Savero Giovanni Laomo Eko Sediyono Fernando Seroy Frendy Cleiff Kandouw Graldo Sarempa Gunawan Prayitno Hayono Posumah Herry Sumual Hiskia Kamang Manggopa Ilyas, Raynaldi Jesa Wirananta Brahmana Jimmy Waworuntu Johan Reimon Batmetan Kaligis, Calvin Josua Kandouw, Frendy Cleiff Karisoh, Brenda Imelda Kolibu, Danius Kristianus Warawarin Kristofel Santa Lelet, Marchellino Liando, Olivia Eunike Selvie Luckie Sojow Made Krisnanda Marchellino Lelet Mercylia Jillsy Miranda Moningkey Nikita Gabriel Sangeroki parabelem tinno dolf rompas Patricia Claudia Tumewan Peggy Veronica Togas Poluan, Darma Fijai Posumah, Hayono Pratasik, Stralen Raynaldi Ilyas Reppi, Hizkia Jefren Rianto, Indra Ricardo Karu Rudy Harijadi Wibowo Pardanus Rumengan, Andre Runtunuwu, Veren Vestirsa Sangeroki, Nikita Gabriel Sarempa, Graldo Savero Giovanni Laomo Dhanu Seroy, Fernando Shania Kaparang Suatan, Yesika Gabriela Takaredase, Agustinus Teofilus Tumundo Torondek, Diego Cristoforus Hizkia Torondek, Klifito Trudi Komansilan Tumewan, Patricia Claudia Tumundo, Teofilus Veren Vestirsa Runtunuwu Vivi Peggie Rantung Warawarin, Kristianus Watuseke, Zefanya Natanael Wensi Ronald Lesli Paat Wotulo, Jevernia Juliana Wowor, Christaria Edwina Priscilia Yesika Gabriela Suatan Zefanya Natanael Watuseke