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Implementasi Dompet Digital Polije Berbasis IoT dan Blockchain MUHAMMAD HAFIDH FIRMANSYAH; Wahyu Kurnia Dewanto; Hariyono Rakhmad
JURNAL PENGABDIAN MASYARAKAT AKADEMISI Vol. 2 No. 1 (2024): Januari : JURNAL PENGABDIAN MASYARAKAT AKADEMISI
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jpma.v2i1.504

Abstract

urrently, the implementation of IoT devices has been widely utilized by various parties in supporting the increasingly complex aspects of human life. IoT devices have become a favorite among hardware and software developers due to their ease of use and flexibility in adapting to the evolving systems of today. One of the uses of IoT is in the realm of digital economics, where digital economy represents a new way of prioritizing technology and ease in the buying and selling transaction process between sellers and buyers. In the past, payment processes for goods or services used to involve paper money and coins, but nowadays, payments are made using digital media. However, the current digital payment methods still rely on centralized storage technology. Therefore, if the data held at the center is damaged or compromised, it can disrupt the flow of financial transactions, and user data privacy becomes a subsequent concern.
Design of Interactive Augmented Reality Learning Media Using theVAKT Approach for Early Childhood Vegetable Recognition Wahyu Kurnia Dewanto; Zilvanhisna Emka Fitri; Achmad Amreza Alfarit; Arizal Mujibtamala Nanda Imron; Reski Yulina Widiastuti; Ery Setiyawan Jullev Atmadji; Fatimatuzzahra Fatimatuzzahra
Jurnal SASAK : Desain Visual dan Komunikasi Vol. 8 No. 1 (2026): SASAK (In Press)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/sasak.v8i1.6317

Abstract

Early childhood education requires adaptive media to facilitate cognitive and linguistic development. This study aims to evaluate the integration of the Visual-Auditory-Kinesthetic-Tactile (VAKT) frame work into an Augmented Reality (AR) application for vegetable recognition, balancing technical engineering with user-centric design paradigms. This research used a method developed with Unity and the Vuforia SDK; the application architecture incorporates real-time marker tracking, a dual-language localization database, and automated dynamic scoring algorithms. Usability was quantitatively measured with 12 respondents using the Technology Acceptance Model (TAM) and the System Usability Scale (SUS) frameworks. The results of this research yielded a high TAM utility score of 80.63% andan ”Excellent” (B+) SUS rating. Technically, the system effectively maps software constraints onto cognitive stimuli, utilizing single-story sans-serif typography and high-saturation color rendering to sustain attention and support emergent literacy. While nearly 90% of respondents affirmed the application’s learning efficacy, empirical logs exposed a critical friction point: asynchronous background audio caused sensory overstimulation for 41.67% of users. These findings support the Split Attention Effect theory, suggesting that in AR environments, multi-sensory inputs must be hierarchically ordered to prevent cognitive overload. This study concludes that a synchronous multimodal hierarchy is essential for successful interactive multimedia environments.
Nutrien Residu Biokonversi Maggot Black Soldier Fly pada Berbagai Ukuran Partikel Media dan Potensi Pemanfaatannya sebagai Pakan Ternak Utomo, Budi; Anwar, Saiful; Surateno; Wibisono, Yossi; Dewanto, Wahyu Kurnia; Wahyono, Agung; Subagja, Hariadi; Nugroho, Wendy Triadji; Nurfitriani, Rizki Amalia; Sriwahyuningsih; Hadi, Gading Noerratama
Jurnal Nutrisi Ternak Tropis Vol. 9 No. 2 (2026): JNT Jurnal Nutrisi Ternak Tropis September
Publisher : Faculty of Animal Science, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Biokonversi limbah organik menggunakan larva Black Soldier Fly (BSF; Hermetia illucens) menghasilkan biomassa larva dan material residu yang masih berpotensi mengandung komponen nutrien bernilai. Karakteristik fisik substrat, khususnya ukuran partikel, diperkirakan memengaruhi proses biokonversi serta distribusi nutrien antara biomassa larva dan residu yang dihasilkan. Penelitian ini bertujuan untuk mengevaluasi pengaruh ukuran partikel substrat terhadap proses biokonversi, bobot maggot, hasil residu, serta kandungan nitrogen (N), fosfor (P), dan kalium (K) pada residu sebagai informasi awal mengenai potensinya sebagai bahan pakan ternak. Penelitian dilaksanakan menggunakan rancangan acak lengkap (RAL) faktorial 3 × 2 dengan tiga ulangan. Faktor pertama adalah ukuran partikel substrat yang terdiri atas bahan tanpa penggilingan (T0), penggilingan menggunakan ukuran 40 mesh (T1), dan penggilingan menggunakan ukuran 60 mesh (T2), sedangkan faktor kedua adalah kondisi sebelum (A1) dan setelah (A2) biokonversi. Substrat yang digunakan terdiri atas limbah organik rumah tangga, sisa pakan ternak, dan kotoran domba. Parameter yang diamati meliputi waktu biokonversi, pH, bobot maggot, bobot residu, serta kandungan N, P, dan K. Data dianalisis menggunakan analisis ragam (ANOVA), dilanjutkan dengan uji jarak berganda Duncan pada taraf P<0,05. Hasil penelitian menunjukkan bahwa ukuran partikel substrat berpengaruh nyata terhadap parameter yang diamati. Perlakuan T2 menghasilkan waktu biokonversi tercepat, yaitu 1,60 hari, dengan bobot residu akhir sebesar 30,00 g. Konsentrasi N, P, dan K tertinggi pada residu setelah biokonversi juga diperoleh pada perlakuan T2, masing-masing sebesar 45,33; 63,67; dan 147,33 ppm. Sebaliknya, bobot maggot akhir pada T2 sebesar 29,67 g, lebih rendah dibandingkan dengan T0 yang mencapai 187,67 g. Hasil tersebut menunjukkan bahwa ukuran partikel substrat memengaruhi pemanfaatan substrat dan distribusi nutrien selama proses biokonversi BSF. Residu yang dihasilkan masih mengandung komponen nitrogen dan mineral yang berpotensi untuk dievaluasi lebih lanjut sebagai bahan pakan ternak. Namun, diperlukan evaluasi menyeluruh terhadap komposisi nutrien, kecernaan, palatabilitas, dan keamanan sebelum residu tersebut dapat direkomendasikan untuk digunakan dalam ransum ternak.
Evaluating Microclimate Forecasting and Predictive Control in IoT-Based Greenhouses Surateno, Surateno; Dewanto, Wahyu Kurnia; Yufit, Hendra Riskiawan; Widiawan, Beni; Albaab, Mochammad Rifki Ulil; Firmansyah, Muhammad Hafidh; Muliawan, Agung; Maulana, Bima Wahyu; Pratama, Afis Asryullah; Pradana, Reza Putra; Koh, Seok-Joo
Journal of Electrical Engineering and Computer (JEECOM) Vol 8, No 4 (2026)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v8i4.17490

Abstract

Greenhouse microclimate conditions can change rapidly, making reactive control less effective in maintaining stable environmental conditions. Short-term forecasting can help anticipate these changes and support timely control decisions. This study presents a secondary analysis of previously reported experimental results from an Internet of Things (IoT)-based melon greenhouse to examine the relationship between forecasting accuracy, forecasting horizon, and operational control performance. The analysis compares persistence, standard Long Short-Term Memory (LSTM), and modified LSTM forecasting approaches and examines environmental and resource-use indicators under predictive control. At a 10-minute forecasting horizon, the modified LSTM achieved a temperature root mean square error (RMSE) of 0.50 °C and a relative humidity RMSE of 2.07%, representing reductions of 21.88% and 20.69%, respectively, compared with the standard LSTM. Temperature RMSE increased to 1.12 °C at a 30-minute horizon, indicating reduced prediction accuracy over the longer horizon. The reported predictive-control configuration was associated with a 45.61% reduction in daytime periods exceeding the 35 °C operational threshold and a 44.74% reduction in daily fan switching events. Reductions in water, electrical energy, nutrient stock, and labour consumption were also reported. These operational outcomes reflect the overall control configuration and cannot be attributed exclusively to the forecasting model. The analysis is limited by the unavailability of raw time-series data for independent validation and statistical significance testing. The findings highlight the importance of evaluating forecasting accuracy and horizon alongside operational control requirements in greenhouse management.