Claim Missing Document
Check
Articles

Found 5 Documents
Search

Development of Game-based Learning Media for Early Childhood Animal Recognition Tri Lestariningsih; Hendrik Kusbandono; Angger Binuko Paksi; Yosi Afandi; Ikhwan Baidlowi Sumafta
East Asian Journal of Multidisciplinary Research Vol. 2 No. 8 (2023): August 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/eajmr.v2i8.5219

Abstract

Cognitive learning activities through the introduction of animals in Early Childhood (AUD) have a very important role in developing all children's potential. One of them is the potential intelligence of children. AUD is a pretty good stage for training the brain of a child, where they will be more interested and active when they see a game or such that contains a lot of animation and sound. With the existence of game-based animal recognition learning media, it will be an interesting thing for early childhood, namely kindergarten, as well as teachers when interacting and conducive to learning. This learning medium contains several learning points and games that train children's cognitive abilities. There is a learning menu to recognize the name of the animal and its voice, then the game composes the word and guesses the illustration image of the animal, as well as the support of singing videos about animals given by the teacher to children. Game-based learning media is built using constructivism, using Luther Sutopo's method. The result of this research is an animal recognition learning medium for early childhood.
Perbandingan Model Pengembangan Perangkat Lunak Untuk Proyek Tugas Akhir Program Vokasi Angger Binuko Paksi; Nisa'ul Hafidhoh; Sigit Kariagil Bimonugroho
Jurnal Masyarakat Informatika Vol 14, No 1 (2023): May 2023
Publisher : Department of Informatics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jmasif.14.1.52752

Abstract

Salah satu syarat penyelesaian pendidikan pada perguruan tinggi adalah membuat tugas akhir. Hasil akhir dari tugas akhir pada perguruan tinggi vokasi  diarahkan dalam bentuk produk atau alat. Untuk membuat produk perangkat lunak yang tersistematis maka dibutuhkan sebuah metodologi atau siklus pengembangan yang lebih dikenal dengan  Software Development Life Cycle (SDLC). Secara umum SDLC memiliki beberapa tahapan yang dimulai dari tahap perencanaan, analisis, perancangan, implementasi, pengujian sampai pemeliharaan sistem. Kajian yang dilakukan adalah studi komparatif pada model pengembangan prototype, iterative dan agile. Perbandingan dari ketiga model tersebut menyatakan hasil bahwa model prototype membutuhkan perencanaan kebutuhan lebih matang dibanding kedua model lainnya, sedangkan model iterative dan model agile memiliki fleksibilitas lebih baik dalam menghadapi pengembangan ulang berjangka. Ketiga model cocok untuk perangkat lunak yang bersifat customizable, yang membedakan adalah kapan fase penyesuaian perubahan dilakukan. Dari kajian ketiga model didapatkan bahwa masing-masing mempunyai kelebihan dan kekurangan, sehingga pengembang dalam hal ini mahasiswa dapat menentukan model mana yang sesuai untuk pengembangan perangkat lunak proyek tugas akhir berdasarkan karakteristik setiap model.
SMART FISH TANK BERBASIS IOT UNTUK KARANTINA IKAN HIAS AIR TAWAR DENGAN MONITORING DAN KONTROL KUALITAS AIR OTOMATIS Ismar, MH Ramdhani Ismar; Syarif Al Ghifari, Affan Naufal; Binuko Paksi, Angger; Lestariningsih, Tri; Prima Atmaja, Ardian Prima Atmaja
DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 9 No 2 (2025)
Publisher : Politeknik Negeri Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32486/dikemas.v9i2.1036

Abstract

Industri budidaya ikan hias menghadapi tantangan dalam menjaga kualitas air selama proses karantina. Kualitas air yang buruk dapat menyebabkan stres, meningkatnya risiko penyakit, bahkan kematian pada ikan. Parameter seperti suhu, pH, dan Total Dissolved Solids (TDS) sangat penting untuk dipantau secara berkala. Penelitian ini mengembangkan sistem Smart Fish Tank berbasis Internet of Things (IoT) yang dilengkapi dengan sensor DS18B20 untuk suhu, sensor pH-4502C, dan sensor TDS. Data hasil monitoring dikirim ke Firebase Realtime Database dan ditampilkan melalui aplikasi Android. Sistem juga dilengkapi dengan modul pengurasan otomatis yang dikendalikan oleh mikrokontroler ESP32 dan modul relay 2 channel. Pengguna dapat menjadwalkan pengurasan air melalui aplikasi. Hasil implementasi menunjukkan sistem mampu berfungsi sesuai dengan rancangan, membantu menjaga kestabilan kualitas air selama karantina ikan hias air tawar, serta mengurangi ketergantungan terhadap sistem pemantauan konvensional.
Applying the ADDIE Model to Develop a CAPsMAN-Based Wireless Network Management and Traffic Monitoring System Tri Septianto; David Nurdiansyah; Hendrik Kusbandono; Angger Binuko Paksi
NJCA (Nusantara Journal of Computers and Its Applications) Vol 10, No 2 (2025): Edisi December 2025
Publisher : Computer Society of Nahdlatul Ulama (CSNU) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36564/njca.v10i2.449

Abstract

The advancement of information technology demands wireless networks that are not only stable but also centrally manageable and efficient. In many medium-scale organizations, such as XYZ Company, manual access point management leads to inefficiencies, configuration inconsistencies, and difficulties in monitoring network traffic. To address these issues, this study proposes the development of a wireless network management system based on CAPsMAN (Centralized Access Point Management) with real-time traffic monitoring features, implemented using the Laravel framework. The development process follows a systematic approach using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation), providing a structured methodology for identifying user requirements, designing system architecture, developing the solution, implementing it in a real-world environment, and evaluating system performance. The developed system is integrated with the MikroTik API for direct data retrieval and utilizes a MySQL database for storing traffic history. Implementation results indicate that the system successfully enables centralized management of six access points, simplifies bulk configuration, and provides an intuitive web interface for real-time monitoring of connected devices, network status, and traffic reports. Quantitative monitoring shows peak traffic of 2 MBps (upload) and 21 KBps (download), with data logged every 30 minutes for historical analysis. Prior to implementation, network administrators relied on manual, device-by-device configuration via Winbox without centralized visibilityleading to inconsistent policies and delayed troubleshooting. Post-implementation, all management tasks are unified, and real-time dashboards reduce monitoring latency to near zero. Black-box testing confirms that all system functions operate according to specifications. The application of the ADDIE model proves effective in ensuring the system’s quality, reliability, and sustainability. This research demonstrates that ADDIE can be successfully adapted beyond educational contexts its novel application in network system development ensures a user-centered, traceable, and evaluable engineering process, which is rarely documented in existing literature.
IMPLEMENTASI METODE HYBRID AHP-TOPSIS PADA SISTEM PENDUKUNG KEPUTUSAN INVESTASI SAHAM IDX30 BERBASIS STREAMLIT Angger Binuko Paksi; Gus Nanang Syaifuddiin; Tri Septianto; Sang Pralambang Athaayaa Sri-Hendra
NJCA (Nusantara Journal of Computers and Its Applications) Vol 10, No 2 (2025): Edisi December 2025
Publisher : Computer Society of Nahdlatul Ulama (CSNU) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36564/njca.v10i2.587

Abstract

Pemilihan saham terbaik dari indeks IDX30 merupakan permasalahan multikriteria yang memerlukan pendekatan sistematis. Penelitian ini mengintegrasikan metode Analytic Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk mengembangkan Sistem Pendukung Keputusan (SPK) berbasis web untuk rekomendasi investasi saham IDX30. Dalam analisis menggunakan delapan kriteria fundamental yaitu Price Earning Ratio, Price Book Value, Debt to Equity Ratio, Return on Equity, Return on Assets, After Tax Margin, Current Ratio, dan Operating Margin. AHP digunakan untuk menentukan bobot prioritas kriteria melalui perbandingan berpasangan dengan validasi rasio konsistensi, sedangkan TOPSIS melakukan perankingan alternatif berdasarkan jarak terhadap solusi ideal. Sistem diimplementasikan menggunakan bahasa Python dengan framework Streamlit yang menyediakan antarmuka interaktif untuk analisis data secara real-time. Pengujian blackbox menunjukkan seluruh fungsi utama berjalan sesuai harapan, sementara pengujian kesesuaian manual menghasilkan selisih maksimum hanya sebesar 0,0178 dengan urutan perankingan yang identik. Hasil ini membuktikan bahwa sistem andal sebagai alat bantu investasi yang objektif bagi investor.