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All Journal JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Jurnal Kridatama Sains dan Teknologi ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Sains Indonesia Jurnal Abdi Masyarakat Indonesia Melek IT: Information Technology Journal Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian Jurnal Teknologi dan Manajemen Industri Terapan Jurnal Sintak Jurnal Teknik Komputer dan Informatika (JTeKI) Current STEAM and Education Research Relevan : Jurnal Pendidikan Matematika
Nur Aziezah
Airlangga University
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Physics Public Health Social Sciences Veterinary Other

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PENGARUH PERAN PRAKTISI PADA PROSES PEMBELAJARAN MATA KULIAH PROGRAM PENGOLAHAN DATA STATISTIKA Rahmah, Hikmah; Aziezah, Nur; Parasti Mindara, Gema; Tribuana Tunggadewi, Andini
Relevan : Jurnal Pendidikan Matematika Vol 4 No 3 (2024): Relevan : Jurnal Pendidikan Matematika
Publisher : Yayasan Amanah Nur Aman

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Abstract

Penelitian ini mengevaluasi pengaruh kehadiran praktisi dalam perkuliahan program pengolahan data statistika terhadap pemahaman dan minat mahasiswa. Praktisi berpartisipasi dalam tiga sesi kelas luring, masing-masing berdurasi empat jam, di mana mereka menyampaikan materi secara langsung melalui praktik. Data dikumpulkan menggunakan kuesioner yang diberikan kepada 101 mahasiswa setelah sesi perkuliahan selesai. Kuesioner terdiri dari lima pertanyaan yang mengevaluasi penambahan ilmu, peningkatan minat, relevansi praktisi dengan dunia kerja, ketertarikan terhadap mata kuliah, dan kepuasan keseluruhan terhadap perkuliahan. Hasil menunjukkan mayoritas mahasiswa sangat setuju bahwa kehadiran praktisi meningkatkan pemahaman mereka tentang statistika, menambah minat mereka terhadap bidang ini, dan memberikan wawasan tambahan tentang pentingnya statistika dalam dunia kerja. Sekitar 92% mahasiswa menyatakan puas dengan kontribusi praktisi dalam perkuliahan. ABSTRACT This study evaluates the impact of the presence of practitioners in statistical data processing program lectures on students' understanding and interest. Practitioners participated in three offline class sessions, each lasting four hours, during which they delivered material directly through practical exercises. Data were collected using a questionnaire given to 101 students after the sessions concluded. The questionnaire consisted of five questions evaluating knowledge enhancement, increased interest, the relevance of practitioners to the professional field, interest in the course, and overall satisfaction with the lectures. The results showed that the majority of students strongly agreed that the presence of practitioners improved their understanding of statistics, increased their interest in the field, and provided additional insights into the importance of statistics in the professional world. About 92% of students expressed satisfaction with the practitioners' contributions to the lectures.
Development of a Web-Based 360-Degree Virtual Tour for AEWO Mulyaharja Tourism Village Using the MDLC Fami, Amata; Nasir, Muhammad; Renanti, Medhanita Dewi; Wicaksono, Aditya; Aziezah, Nur; Barus, Irma R.G.; Indriasari, Sofiyanti
Jurnal Kridatama Sains dan Teknologi Vol 7 No 02 (2025): Jurnal Kridatama Sains dan Teknologi
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v7i02.1919

Abstract

Digital tourism increasingly requires interactive and immersive media, yet virtual tour development in rural and community-based settings often lacks methodological rigor, structured usability evaluation, and user-centered design. To address this gap, this study develops a web-based 360-degree Virtual Tour for AEWO Mulyaharja using the Multimedia Development Life Cycle (MDLC) framework. Introductory Augmented Reality (AR) elements were included to enrich visual presentation, although these features were not the primary focus of evaluation. The system was developed through the six MDLC stages and assessed using an adapted usability instrument derived from the principles of the System Usability Scale (SUS), simplified to accommodate respondents with varying levels of digital literacy. Thirty participants tested the system and rated five aspects: attractiveness, ease of use, information completeness, intention to visit, and cross-device accessibility. The Virtual Tour achieved an average usability score of 81.68 percent, categorized as “very good,” indicating that the platform is engaging, clear, and accessible for potential users. Scientifically, the study contributes to digital tourism literature by integrating MDLC with Human–Computer Interaction considerations and demonstrating the contextual application of an adapted usability measure for community-based environments. Practically, the Virtual Tour enhances AEWO Mulyaharja’s digital visibility and offers a replicable model for rural tourism digitalization. Future research may explore deeper evaluation of AR functionality, broader respondent groups, and additional usability metrics
Penerapan Google Sites dan Apps Script Untuk Sistem Informasi Terintegrasi Andaman, Akhdan Ravi; Aziezah, Nur; Yulianti, Wina; Martini, Rina; Rusmiyati, Henny; Akhdan Ravi Andaman; Nur Aziezah; Wina Yulianti; Rina Martini; Henny Rusmiyati
Melek IT : Information Technology Journal Vol. 11 No. 2 (2025): Melek IT: Information Technology Journal
Publisher : Informatics Department-Universitas Wijaya Kusuma Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30742/melekitjournal.v11i2.411

Abstract

Transformasi digital dalam pendidikan mendorong perlunya sistem informasi yang efisien dan mudah diakses. Komisi Pendidikan Sekolah Vokasi IPB selama ini mengandalkan ekosistem Google, seperti Google Spreadsheet dan Google Form, namun menghadapi tantangan dalam integrasi dan visualisasi data. Penelitian ini bertujuan untuk mengembangkan sistem informasi pendidikan bernama MONIKA (Monitoring Informasi Komisi Pendidikan), yang dirancang menggunakan Google Sites dan Google Apps Script untuk mengintegrasikan data secara otomatis tanpa memerlukan hosting eksternal. Metode pengembangan yang digunakan adalah lean development dengan pendekatan iteratif melalui tahapan Build-Measure-Learn. Pengembang menguji sistem menggunakan metode black box testing untuk memastikan fungsionalitas sesuai dengan kebutuhan pengguna. Hasil menunjukkan bahwa semua fitur utama, seperti tampilan otomatis data dari Google Spreadsheet, pembatasan akses berbasis email, serta visualisasi data pada situs web, berfungsi dengan baik.
Artificial Neural Network-Based Classification of Water Quality Status in Ornamental Fish Farming Using IoT Sensor Data Aziezah, Nur; Sholihah, Walidatush; Marcelita, Faldiena; Novianty, Inna; Hendriana, Andri; Kusumanti, Ima
Current STEAM and Education Research Vol. 3 No. 3 (2025): Current STEAM and Education Research, Volume 3 Issue 3, December 2025
Publisher : MJI Publisher by PT Mitra Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58797/cser.030302

Abstract

Water quality plays an important role in sustainable agriculture. Water quality also affects the quality and quantity of fishery production. In ornamental fish cultivation, water quality influences not only production, but also the shape and color of the fish. To achieve optimal results, water quality parameters need to be maintained. Manually monitoring water quality parameters faces many challenges such as being time-consuming and not providing real-time data. This study investigated the application of Artificial Neural Networks (ANNs) in classifying water quality status. This status is based on data collected using sensors in an Internet of Things (IoT)-based monitoring system. The dataset comprised five key parameters: pH, temperature, ammonia, total dissolved solids (TDS), and total suspended solids (TSS). This data was collected from aquariums cultivating the Denison barb (Sahyadria denisonii). Data preprocessing was performed using feature standardization. This aims to improve model performance. The ANN model was constructed with two hidden layers (32 and 16 neurons). This model was trained using the Adam optimizer, with categorical cross-entropy as the loss function. The dataset was divided into 80% for training and 20% for testing. The trained ANN model achieved an accuracy of 99.95%. It has low false-positive and false-negative rates. These results demonstrate the effectiveness of ANN in predicting water quality status using sensor-based data. This suggests its potential for real-time monitoring and decision-making support in small-scale ornamental fish aquaculture.
Transformasi Ekosistem Promosi Digital Desa Wisata Mulyaharja, Bogor-Jawa Barat Melalui Teknologi Imersif Dan Kecerdasan Buatan Nasir, Muhammad; Renanti, Medhanita Dewi; Wicaksono, Aditya; Fami, Amata; Aziezah, Nur; Barus, Irma Rasita Gloria; Indriasari, Sofiyanti
Jurnal Abdi Masyarakat Indonesia Vol 6 No 1 (2026): JAMSI - Januari 2026
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.2475

Abstract

Desa Wisata Mulyaharja, Kota Bogor, Jawa Barat, memiliki potensi agroekowisata dan UMKM yang besar, namun belum didukung oleh sistem promosi digital yang interaktif serta keterampilan literasi digital masyarakat yang memadai. Permasalahan utama mitra meliputi keterbatasan pemanfaatan teknologi promosi imersif dan rendahnya kemampuan pengelola desa wisata serta pelaku UMKM dalam menerapkan strategi digital marketing berbasis kecerdasan buatan (Artificial Intelligence/AI). Kegiatan Pengabdian kepada Masyarakat ini bertujuan membangun ekosistem promosi digital berbasis pemberdayaan masyarakat melalui integrasi Virtual Tour 360°, Augmented Reality (AR), dan pelatihan digital marketing berbasis AI. Metode pelaksanaan meliputi asesmen kebutuhan mitra, pengembangan media promosi digital imersif, pelatihan dan pendampingan pemanfaatan AI, serta evaluasi dampak awal menggunakan survei pre-test dan post-test. Hasil evaluasi menunjukkan peningkatan kapasitas digital masyarakat, dengan nilai rata-rata penilaian pasca penggunaan Virtual Tour dan AR sebesar 81,68% (kategori sangat baik), serta kebermanfaatan pelatihan digital marketing berbasis AI mencapai 92,8%. Kegiatan ini berkontribusi pada penguatan literasi digital, peningkatan peran pemuda desa, dan potensi peningkatan ekonomi lokal melalui promosi wisata dan UMKM yang lebih efektif dan berkelanjutan.
Co-Authors Aditya Wicaksono Akhdan Ravi Andaman Alkautsar, Muhammad Farhan Andaman, Akhdan Ravi Andini Tribuana Tunggadewi, Andini Tribuana Aulia, Irna Barus, Irma R.G. BAYU WIDODO Erviyana, Nadia Fahrezy, Muhammad Farhan Fami, Amata Hadi Sumarno Hendriana, Andri Henny Rusmiyati Ima Kusumanti Irma Rasita Gloria Barus Irmansyah Jaharuddin Jaharuddin, Jaharuddin Manurung, Maryetha Marcelita, Faldiena Meliala, Rajhaga Jevanya Mindara, Gema Parasti Muhammad Nasir Naufal, Fawwaz Novianty, Inna Novianty, Inna Novianty Nur Aziezah Nursaadah, Syifa Parasti Mindara, Gema Rahmah, Hikmah Ridwan Siskandar Rina Martini Rina Martini Rusmiyati, Henny Saputra, Fauzi Adi Setiawan, Aep Sholihah, Walidatush Silalahi, Ester Olivia Sofiyanti Indriasari Sri Yusrina Wina Yulianti Wina Yulianti Yeza, Mia Putri