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PEMANFAATAN MEDIA TEKNOLOGI DALAM MODEL PEMBELAJARAN DI ERA KURIKULUM MERDEKA UNTUK PENDIDIK TINGKAT SMA DI KECAMATAN KAIRATU Palinussa, Anderson Leonardo; Tupamahu, Pieter Zakarias; Sabandar, Vederico Pitsalitz; Makaruku, Yulian Hanny
PAKEM : Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2024): Pakem : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pakem.4.1.74-81

Abstract

Kurikulum Merdeka Belajar adalah salah satu inovasi penting dalam pendidikan Indonesia yang memberikan kebebasan kepada pendidik untuk memilih perangkat ajar dan memanfaatkan teknologi dalam pembelajaran. Pelaksanaan pengabdian kepada masyarakat ini bertujuan untuk membantu pendidik menggunakan media teknologi dalam model pembelajaran sehingga dapat diimplementasikan secara maksimal pada era kurikulum merdeka belajar. Objek kegiatan ini adalah semua pendidik SMA/SMK mata pelajaran matematika di Kecamatan Kairatu, Seram Bagian Barat. Kegiatan PkM dilakukan dalam bentuk pelatihan kepada 28 peserta yang merupakan pendidik dengan diberikan kuisioner awal (pretest) dan akhir (posttest) untuk dianalisis tingkat pemahaman materi yang diberikan. Hasil penelitian menunjukkan bahwa pelatihan ini efektif dalam meningkatkan pemahaman pendidik tentang pemanfaatan media teknologi dalam pembelajaran. Hal ini dibuktikan dengan hasil uji N-gain yang menunjukkan peningkatan pemahaman peserta pelatihan. Namun, pelaksanaan kegiatan ini memerlukan peningkatan, terutama dalam hal durasi kegiatan dan ketersediaan fasilitas laboratorium komputer untuk praktik langsung.
Rekomendasi Perbaikan Desain Aplikasi Media Pembelajaran Berbasis Desktop dalam Bentuk Prototype untuk Statistika Dasar Sabandar, Vederico Pitsalitz; Santoso, Harry Budi
Generation Journal Vol 2 No 2 (2018): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.38 KB) | DOI: 10.29407/gj.v2i2.12617

Abstract

Penelitian ini bertujuan untuk memperoleh rekomendasi perbaikan dan membuat desain aplikasi media pembelajaran berbasis desktop dalam bentuk prototype untuk mata kuliah Statistika Dasar. Untuk memperoleh rekomendasi tersebut, maka dalam penelitian ini menerapkan metode usability testing dengan target pengujian yaitu kelompok dosen dan mahasiswa sebanyak 30 responden dengan tujuan untuk memperoleh 97% permasalahan dalam usability testing. Data yang dikumpulkan untuk memperoleh rekomendasi perbaikan dengan menggunakan metode usability testing, meliputi data-data yang bersifat kualitatif. Adapun pembuatan prototype dalam penelitian ini menggunakan prinsip desain interaksi. Berdasarkan hasil penelitian yang dilakukan, diperoleh beberapa rekomendasi yaitu terkait dengan desain pada tampilan interface dan konten yang terdapat pada halaman Menu Utama (Beranda), halaman Menu Game Education, dan halaman Menu Materi, di mana perlu dirancang kembali agar lebih memudahkan user dan tidak menimbulkan kejenuhan selama menggunakan aplikasi tersebut.
STEAM Learning Training Based on Robot for Mission (R4M) Coding to Support 21st Century Thinking Skills Carolina Sri Athena Barus; Ashari Bayu Prasada Dulhasyim; Vederico Pitsalitz Sabandar; Freddy Oakley Palapessy; Idham
Unram Journal of Community Service Vol. 7 No. 1 (2026): March
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v7i1.1305

Abstract

The Community Empowerment Partnership Program (PKM) implemented at SMA Negeri 1 Ambon aims to support the improvement of 21st century skills through Science, Technology, Engineering, Art, and Mathematics (STEAM) learning training based on Coding Robot For Mission (R4M). This program was initiated in response to the challenges of digital era education, which demands critical thinking, problem solving, collaboration, and communication skills, both to prepare students for the global workforce and to promote the advancement of the Maluku region. The implementation of activities was based on the results of an analysis of the situation and the needs of partners, which were then agreed upon jointly. The method used is Community Development, which is an empowerment and partnership-based approach, actively involving the school community in every stage of the activity, from socialization, module development, coding, and robotics design training, to technology implementation assistance. The results of this program show that SMA Negeri 1 Ambon, as a partner, has great potential as a pioneer in the application of STEAM-based learning and digital literacy, but still faces significant limitations. Nevertheless, teachers and school officials show high enthusiasm and readiness for change. With the support of training, mentoring, and the provision of facilities, SMA Negeri 1 Ambon has the potential to become a model for the implementation of STEAM and coding in Maluku Province, while also strengthening students' 21st-century skills in a sustainable manner.
PENERAPAN RULE-BASED EXPERT SYSTEM UNTUK REKOMENDASI UMPAN BERDASARKAN SPESIES IKAN DAN KONDISI PERAIRAN DI LAUT MANADO Sanriomi Sintaro; Luther Alexander Latumakulita; Vederico Pitsalitz Sabandar
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 5, No 2 (2025): JURNAL JRIS EDISI JULI 2025
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol5no2.824

Abstract

Capture fisheries are an important economic sector for coastal communities in the Manado region. One of the key factors influencing fishing success is the selection of appropriate bait. Choosing the correct bait can significantly improve catch efficiency, while incorrect bait selection may reduce fishing effectiveness. In practice, bait selection among local fishermen still relies heavily on traditional knowledge passed down orally or gained through personal experience, which is not always easily accessible to novice fishermen. This study aims to develop a Rule-Based Expert System that provides bait selection recommendations to support fishing activities around Manado. The system was designed by incorporating practical knowledge from experienced fishermen obtained through semi-structured interviews and field observations. The parameters used in the system include target fish species, water depth, sea current strength, and season. The Rule base was constructed based on various combinations of these parameters and implemented as a web-based application using PHP programming language. Testing results show that the system achieves a 90% accuracy rate in providing recommendations based on validation conducted with local fishermen. Further evaluation indicates that the system is considered easy to use and beneficial as a decision-support tool for bait selection, particularly for novice fishermen. Additionally, the fishermen provided positive feedback for future system enhancements, suggesting the inclusion of additional contextual factors such as weather conditions and lunar phases. In conclusion, the developed Rule-Based Expert System has significant potential to support more efficient and sustainable fishing practices in the waters around Manado and facilitate knowledge transfer to the next generation of fishermen.Perikanan tangkap merupakan sektor ekonomi yang sangat penting bagi masyarakat pesisir di wilayah Manado. Salah satu faktor kunci yang mempengaruhi hasil tangkapan ikan adalah pemilihan umpan yang tepat. Umpan yang sesuai dapat meningkatkan peluang keberhasilan penangkapan, sementara pemilihan umpan yang kurang sesuai dapat menyebabkan penurunan efisiensi usaha penangkapan. Dalam praktiknya, pemilihan umpan oleh nelayan di wilayah ini masih sangat bergantung pada pengetahuan tradisional yang diperoleh melalui pengalaman pribadi atau diwariskan secara lisan, sehingga tidak selalu mudah diakses oleh nelayan pemula. Penelitian ini bertujuan untuk mengembangkan sebuah Rule-Based Expert System yang dapat memberikan rekomendasi pemilihan umpan untuk mendukung kegiatan perikanan tangkap di perairan sekitar Manado. Sistem dirancang dengan mengadopsi pengetahuan praktis dari nelayan berpengalaman, yang diperoleh melalui proses wawancara semi-terstruktur dan observasi lapangan. Parameter yang digunakan dalam sistem meliputi spesies ikan target, kedalaman perairan, arus laut, dan musim. Rule base disusun berdasarkan kombinasi keempat parameter tersebut, kemudian diimplementasikan dalam sebuah aplikasi berbasis web menggunakan bahasa pemrograman PHP. Hasil pengujian menunjukkan bahwa sistem mampu memberikan tingkat kesesuaian rekomendasi sebesar 90%, berdasarkan validasi yang dilakukan bersama nelayan di wilayah Manado. Evaluasi lebih lanjut menunjukkan bahwa sistem ini dinilai mudah digunakan, serta bermanfaat sebagai alat bantu dalam proses pengambilan keputusan terkait pemilihan umpan, terutama bagi nelayan pemula. Selain itu, nelayan memberikan masukan positif terkait pengembangan sistem ke depan, termasuk penambahan faktor-faktor lain seperti kondisi cuaca dan fase bulan. Dengan demikian, Rule-Based Expert System yang dikembangkan dalam penelitian ini memiliki potensi besar untuk mendukung perikanan tangkap yang lebih efisien dan berkelanjutan di perairan sekitar Manado, serta membantu proses transfer pengetahuan kepada generasi nelayan baru
Tier-Aware Entropy-ARAS Approach to Select Microcontroller Boards for Education Sanriomi Sintaro; Sandi Badiwibowo Atim; Vederico Pitsalitz Sabandar
Informatics and Software Engineering Vol. 3 No. 2 (2025): December
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v3i2.574

Abstract

This study develops a decision support system to recommend microcontroller and IoT learning devices for schools, universities, and training centers under realistic budget constraints while considering both technical capability and educational suitability. The alternatives are grouped into three budget tiers and evaluated using nine criteria covering price, CPU frequency, Flash, RAM/PSRAM, connectivity, usable GPIO, ease of learning, learning resources/community, and local availability/warranty. Objective criterion weights are computed using the Entropy method, and tier-wise rankings are produced using Additive Ratio Assessment (ARAS) through utility scores relative to an ideal alternative. Indicative local price and availability information are compiled from Tokopedia, while qualitative criteria are scored using consistent rubrics to support reproducibility. The results identify ESP32-CAM + baseboard as the top recommendation in Tier 1, LILYGO T-Display S3 in Tier 2, and M5StickC Plus2 in Tier 3; across tiers, Entropy assigns the largest weights to the most discriminative criteria, particularly RAM/PSRAM and, in higher tiers, Flash. The study is limited by market price volatility, approximations in usable GPIO values, and rubric-based qualitative scoring, and it also reflects the tendency of Entropy to concentrate weights on highly dispersed criteria, potentially amplifying outlier advantages. Overall, the proposed tier-aware Entropy–ARAS framework provides a transparent and actionable approach for educational institutions to justify device procurement and usage decisions based on budget, functionality, and learning readiness.
Entropy vs. CRITIC Weighting for TOPSIS Ranking of Mobile Data Packages in Ambon City Vederico Pitsalitz Sabandar; Sanriomi Sintaro; Wisard Widsli Kalengkongan; Jumriadi; Sitti Nur Isnian
Informatics and Software Engineering Vol. 3 No. 2 (2025): December
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v3i2.575

Abstract

This study proposes a decision-support approach for selecting prepaid mobile data packages in Ambon City that balances price, main quota, and validity period. Twelve packages from Telkomsel, XL, Indosat IM3, and Tri were evaluated using four criteria: price, main quota, validity, and price per main gigabyte. TOPSIS was used for ranking, and Entropy and CRITIC were compared as objective weighting methods to examine the effect of weighting choice. Entropy emphasized the main quota, producing a quota-focused evaluation. CRITIC gave greater weight to price and price efficiency, accounting for data variation and criterion correlations. Both methods selected Tri Happy 70GB as the best option. The overall rankings were highly consistent, with a Spearman rank correlation of 0.8741, although some alternatives changed positions within the top group. The analysis is limited to a single time snapshot based on published package attributes and excludes measured network performance in Ambon City. In practice, the framework is transparent, replicable, and can be extended with constraints such as maximum budget and minimum validity requirements. The study contributes a controlled comparison of Entropy and CRITIC effects while keeping TOPSIS constant.