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Penerapan Gamifikasi Pada Pembelajaran Huruf Dan Angka Untuk Anak Usia Dini Berbasis Android Akhiles Shyantica Wisnumurti; Christy Mahendra; Suyudi; Rosalina Yani
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 2 No. 1 (2023): Maret : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v2i1.1154

Abstract

Aplikasi media pembelajaran huruf dan angka untuk anak usia dini dengan konsep gamifikasi berbasis android ini dilatar belakangi kurangnya pemahaman siswa-siswa PAUD Desa Karanggintung, pada materi huruf dan angka. Di PAUD Desa Karanggintung, para siswa belum memahami materi huruf dan angka tersebut dengan baik. Penggunaan metode pembelajaran yang konvensional, belum adanya pengembangan media yang lain, anak menjadi mudah bosan dan kurang berkonsentrasi pada pelajaran menjadi alasan kurangnya pemahaman pada materi huruf dan angka. Perlu diciptakan inovasi baru yang searah dengan tujuan penelitian yaitu terbangunnya media pembelajaran huruf dan angka dengan konsep gamifikasi berbasis android, guna meningkatkan motivasi belajar serta pemahaman pada anak. Penelitian ini menggunakan metode ADDIE (Analysis, Design, Development, Implementation, Evaluation). Hasil evaluasi skala benchmark User Experience Questionnaire (UEQ), Aspek Daya Tarik (attractiveness) dengan nilai 2,43, Aspek Efisiensi (efficiency) dengan nilai 2,22, Aspek Kejelasan (perspicuity) dengan nilai 2,08, Aspek Ketepatan (dependability) dengan nilai 2,11, Aspek Stimulasi (stimulation) dengan nilai 2,45 dan Aspek Kebaruan (novelty) memperoleh nilai 2,23. Dengan demikian, maka keenam aspek UEQ memperoleh hasil Excellent (baik sekali) di atas rata-rata. Aplikasi media pembelajaran ini dapat membantu meningkatkan pemahaman dan motivasi para siswa, pada pembelajaran materi huruf dan angka.
Pengembangan Aplikasi Pelacakan Kendaraan Berbasis Web Menggunakan Model Waterfall Nentra Edison Mendrofa; Anotaris Bulolo; Suyudi; Aries Saifudin
Jurnal Riset Informatika dan Inovasi Vol 2 No 5 (2024): JRIIN: Jurnal Riset Informatika dan Inovasi
Publisher : shofanah Media Berkah

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

Abstract

Pengembangan aplikasi pelacakan kendaraan memerlukan pendekatan metodis dan terstruktur untuk memastikan keberhasilannya, terutama dalam mengintegrasikan kecerdasan buatan (AI) untuk meningkatkan fungsionalitas. Model waterfall, yang dikenal dengan fase-fase yang berurutan dan sistematis, diterapkan dalam proyek ini. Artikel ini mengeksplorasi penerapan model waterfall dalam pengembangan aplikasi pelacakan kendaraan berbasis web, dengan menekankan integrasi teknik AI seperti pembelajaran mesin untuk analitik prediktif dan optimasi rute. Kelebihan dan tantangan penggunaan model waterfall dalam konteks ini dibahas, didukung oleh studi kasus. Pentingnya memilih metodologi pengembangan yang sesuai dengan kebutuhan dan karakteristik proyek juga disoroti.
Pengembangan Aplikasi Keuangan dan Pembayaran Menggunakan Model Waterfall Nentra Edison Mendrofa; Anotaris Bulolo; Suyudi; Aries Saifudin
Jurnal Riset Informatika dan Inovasi Vol 2 No 5 (2024): JRIIN: Jurnal Riset Informatika dan Inovasi
Publisher : shofanah Media Berkah

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

Abstract

Perkembangan teknologi telah menyederhanakan berbagai aspek kehidupan, terutama dalam teknologi informasi dan komunikasi. Ibu rumah tangga dapat memanfaatkan teknologi ini untuk mengelola keuangan rumah tangga dengan efektif. Hal ini mencakup perencanaan anggaran, pencatatan semua pengeluaran, dan membedakan antara pengeluaran rutin dan non-rutin. Sangat penting untuk menyisihkan dana darurat untuk kebutuhan tak terduga. Sistem manajemen keuangan berbasis Android yang dikembangkan dengan model waterfall dapat membantu ibu rumah tangga mengelola keuangan mereka lebih efektif dengan mencatat pemasukan dan pengeluaran, sehingga mencapai stabilitas keuangan yang lebih baik.
Design of a Website-Based New Learner Admission Information System at SD Kristen 2 Purwokerto Nasution, Heskia; Wibowo, Adhi; Widiastuti, Rosalina Yani; Suyudi
Journal of Intelligent Systems and Information Technology Vol. 2 No. 1 (2025): January
Publisher : Apik Cahaya Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61971/jisit.v2i1.142

Abstract

This research designs and implements a web-based PPDB Information System at SD Kristen 2 Purwokerto to overcome data inaccuracies, the risk of losing documents, and administrative inefficiencies due to manual systems. The system was developed using UML modeling, including use case, activity, and class diagrams, and enables more efficient and transparent online registration. The results of testing with Black Box Testing (Equivalence Partitioning) show that the system functions according to specifications. Testing the main features of login, registration, student enrollment, payment verification, and admin and principal data management produced appropriate outputs, improved efficiency and data accuracy, and strengthened system security. The system is proven to improve the quality of education services, with suggestions for the development of automatic notification features, user support, and improved data security to maintain the integrity of student information.
Certainty Factor vs. Dempster-Shafer: Evaluating Accuracy in an Android Expert System for Tilapia Disease Diagnosis Christy Mahendra; Putu Samuel Prihatmajaya; Eduardus Gerry Henri; Jonathan Brian Wijaya; Agnes Florentina Santoso; Suyudi
International Journal of Technology and Education Research Vol. 3 No. 03 (2025): July - September, International Journal of Technology and Education Research (
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i03.2006

Abstract

This study aims to develop an Android-based expert system to help fish farmers detect diseases in tilapia (Oreochromis niloticus) quickly and accurately. This system implements two inference methods, namely Certainty Factor (CF) and Dempster-Shafer (DS), which are then compared to assess their effectiveness and accuracy in the diagnosis process. The research was conducted in Purwonegoro Subdistrict, Banjarnegara Regency, which is one of the centers of tilapia farming in Central Java.The knowledge base in this system is compiled based on disease symptom data obtained from interviews with experts and scientific literature references. The developed Android application allows users to enter symptoms that appear on fish to get diagnosis results along with confidence levels and treatment suggestions. System testing is carried out using real case data from the field, and the diagnosis results are compared with evaluations by experts.The results show that both methods are able to provide fairly accurate diagnoses. The Certainty Factor method excels in terms of speed and simplicity in calculation, while the Dempster-Shafer method is better able to handle uncertainty from non-specific symptom combinations. The accuracy of the Dempster-Shafer method is slightly higher than the Certainty Factor, but the difference is not statistically significant.This expert system is expected to be a practical solution for fish farmers in identifying diseases early on, thus supporting the increase in productivity and efficiency of tilapia farming in the research area.
Pengukuran Kualitas Pengalaman Pengguna dan Ketepatan Diagnosa Sistem Pakar untuk Penyakit Ikan Nila Berbasis Android Christy Mahendra; Putu Samuel Prihatmajaya; Suyudi; Eduardus Gerry Henri; Agnes Florentina Santoso; Jonathan Briant Wijaya
Prosiding Vol 7 No 1 (2025): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v7i1.10739

Abstract

This study aims to evaluate the user experience quality and diagnostic accuracy of an Android-based expert system application developed to assist in diagnosing diseases in tilapia fish. The evaluation employed the User Experience Questionnaire (UEQ) and the Certainty Factor (CF) approach. UEQ results indicate that the application delivers a highly satisfying user experience, with the highest scores on stimulation (1.68) and attractiveness (1.60), both categorized as Excellent. These results suggest that the application provides an engaging and enjoyable interactive experience. Other dimensions such as clarity (1.34), efficiency (1.37), accuracy (1.18), and novelty (1.20) fall into the Good category, indicating the system is intuitive, functional, and reliable, though there is still room for improvement.In terms of expert system performance, the Certainty Factor method successfully delivered relevant diagnostic results. Tricodiniasis emerged as the primary diagnosis with 100% confidence based on the user's selected symptoms. However, the appearance of several other diseases with similarly high confidence scores indicates the existence of overlapping symptoms across different conditions. This highlights the importance of using probabilistic approaches to manage uncertainty in disease diagnosis. Overall, the application demonstrates strong performance in user interface design, user interaction, and expert system accuracy, making it suitable as a supporting tool for diagnosing tilapia fish diseases