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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Informatika dan Teknik Elektro Terapan Journal of Animation & Games Studies AGROSCIENCE Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Teknologi Terpadu MULTINETICS Journal of Computer System and Informatics (JoSYC) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Media Jurnal Informatika Jurnal Abdimas Bina Bangsa Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Jurnal Administrasi Bisnis Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Jurnal Ilmiah Informatika dan Komputer
Diny Syarifah Sany
Program Studi Teknik Informatika Universitas Suryakancana
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Gamification Design of Computer Network Virtual Laboratory Using SAGD-VL Framework Sany, Diny Syarifah
MULTINETICS Vol. 9 No. 1 (2023): MULTINETICS Mei (2023)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v9i1.5165

Abstract

Building gamification in a virtual laboratory of the computer network will help students to be able to do practicums anywhere and be able to meet the needs of practicum tools and materials. However, researchers have not found a gamification design in a virtual laboratory of the computer network laboratory that can assist developers in building virtual laboratory gamification. Based on these problems, the researcher proposes a gamification design for a virtual laboratory of the computer network using components from the SAGD-VL framework. The SAGD-VL framework is a framework for building games in virtual laboratories. This study does not take all the elements of SAGD-VL but adjusts the results of the analysis from data collection. Technology analysis aims to produce fast and true-to-life virtual laboratory gamification technology designs. This study implements the proposed design in a virtual computer network laboratory to test the proposed design. This study tested the black box, pre-test, and post-test. This test resulted in an average increase in student scores of 32.353 with the highest increase of 60. So that the proposed design of a computer network virtual laboratory gamification using SAGD-VL can help improve students' understanding of practical learning. The questionnaire results in this application being fast in computation and the UI/UX of this application is like the original.
PERANCANGAN MEMORY MECHANIC PADA GAMIFIKASI SEBAGAI MEDIA PROMOSI PADA COMPANY PROFILE APP (STUDI KASUS : PT TROPHY PLAYER MANAGEMENT) Sany, Diny Syarifah; Zikri, Fauzan; Syarif, Ahmad Fakhri
Jurnal Administrasi Bisnis (JUBIS) Vol 2, No 2 (2022): December
Publisher : Program Studi Administrasi Bisnis Internasional, FASTER, UNSUR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jubis.v2i2.2811

Abstract

Pembaharuan metode promosi didalam bisnis merupakan hal yang sangat penting di era ini. Promosi konvensional berubah menjadi promosi daring salahsatunya dengan menggunakan aplikasi. Gamifikasi kini juga digunakan di berbagai jenis aplikasi, salah satunya adalah promosi. Gamifikasi mengadaptasi mekanik game untuk diterapkan di non-game. Memory merupakan mekanik game yang kegiatan utamanya adalah berhubungan dengan daya inngat pemain. Trophy Player Management merupakan sebuah agensi pemain bola keturunan Indonesia baik yang tinggal di luar negeri ataupun didalam negeri. Promosi pemain bola sangat diperlukan untuk mengenalkan dan menaikkan rate dari pemain bola itu sendiri sehingga klub bola akan tertarik untuk mengontrak pemain tersebut. Pada penelitian ini diusulkan sebuah rancangan gamifikasi menggunakan mekanik memory sebagai media promosi pemain bola di Trophy Player Management. Setelah melakukan pengujian, penggunaan mekanik memory ini memberikan dampak positif terhadap kegiatan promosi di Trophy Player Management.
Penerapan Game Edukasi Berbasis Machine Learning untuk Meningkatkan Kesadaran Pengelolaan Sampah di SMKS Bina Bangsa Pertiwi Cianjur Sany, Diny Syarifah; Zikri, Fauzan; Putro, Bramantyo Eko; Angkasa, M Malwan; Assyidiq, Raka Moch. Ramlan
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 6 No. 1 (2026): Januari 2026 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/altifani.v6i1.906

Abstract

Permasalahan pengelolaan sampah masih menjadi isu penting di kalangan siswa sekolah menengah, khususnya di SMKS Bina Bangsa Pertiwi Babakancaringin, Cianjur. Rendahnya kesadaran siswa dalam memilah sampah organik dan anorganik mendorong perlunya pendekatan edukasi yang lebih adaptif. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan pemahaman siswa melalui penerapan game edukasi ReSIk, yaitu aplikasi berbasis Android yang dilengkapi dengan teknologi machine learning. Metode pelaksanaan meliputi sosialisasi, pelatihan, penggunaan game, serta evaluasi melalui pre-test dan post-test. Sebanyak 50 siswa dilibatkan dalam pengukuran hasil belajar. Data menunjukkan adanya peningkatan rata-rata skor pemahaman dari 53,2  pada pre-test menjadi 76,0 pada post-test, atau terjadi kenaikan sebesar 22,8%. Selain itu, 87% siswa menyatakan game membantu mereka memahami pentingnya prinsip 3R (Reduce, Reuse, Recycle). Temuan ini memperlihatkan bahwa integrasi teknologi digital adaptif dalam pembelajaran dapat menjadi solusi efektif untuk meningkatkan literasi lingkungan siswa.
Dynamic Difficulty Adjustment Using Reinforcement Learning for Adaptive Gameplay Experience in Resik Diny Syarifah Sany; M Malwan Angkasa
Media Jurnal Informatika Vol 17 No 2 (2025): Media Jurnal Informatika
Publisher : Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v17i2.6106

Abstract

The development of educational games holds significant potential for interactively instilling environmental conservation concepts, such as reduce, reuse, and recycle (3R). However, varying player skill levels often lead to boredom when a game is too easy, or frustration when it is too difficult. Although Reinforcement Learning (RL)-based Dynamic Difficulty Adjustment (DDA) has proven effective in balancing difficulty levels in action or MOBA genres, its application in educational waste management games remains underexplored. This study aims to develop an educational game titled "Resik" and implement a DDA mechanism using the Proximal Policy Optimization (PPO) RL algorithm, enabling the game's difficulty to adjust to player proficiency adaptively and in real-time. This research employs a Research and Development (R&D) and experimental approach. The adaptation parameters include the waste spawn rate, mission timer, sorting error rate, and NPC speed. The RL model was developed and integrated into the Unity Engine for the Android platform. Evaluation was conducted through bot simulations (15 iterations) and field trials involving 50 students from SMKS Bina Bangsa Pertiwi. The integration of the PPO RL algorithm into the game engine was successfully implemented, allowing the game to respond to player performance and dynamically adjust the difficulty. The application of RL-based DDA proved effective in maintaining the gameplay experience within the adolescent players' flow zone. These findings contribute to the development of adaptive educational games while simultaneously supporting the improvement of waste management literacy.
Co-Authors Adang Suryana Agus Suheri Angga Adriana Imansyah Angkasa, M Malwan Assyidiq, Raka Moch. Ramlan Fauzan Zikri Fauzan Zikri Finsa Nurpandi Khoerul Rahman Leston Erwin S., Yuliani & M Malwan Angkasa Melissa Syamsiah Miral Setiawan Muhammad Asipa Zenal Aripin Muhammad Fikriansyah Muhammad Irfan Mustakim Nabila Sopyan Nazar, Muhammad Nazar Aufa Nurbaiti, Anisa Putro, Bramantyo Eko Suwandi Suwandi Syarif, Ahmad Fakhri Wildan Fadilah Zikri, Fauzan