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All Journal JAST : Jurnal Aplikasi Sains dan Teknologi Jurnal Mantik Strada Journal of Pharmacy
Avip Kurniawan
Universitas Krisnadwipayana
Chemistry Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Other

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Crowd Modelling and Navigation in Unity3D Game Engine: Crowd Modelling and Navigation in Unity3D Game Engine Mochammad Fachri; Avip Kurniawan; Ali Khumaidi
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.823.pp1185-1191

Abstract

In the curret era of building construction and development, it is very difficult to foresee the evacuation point of a building if disaster occure, especially for huge and tall buildings. For that purpose we make crowd modeling on the Unity3D game engine. We try to build a concept using evacuation scenarios in the Krisnadwipayana University, Faculty of Engineering building. By utilizing crowd modeling using Unity3D game engine, we will put all crowd agents together at the virtual environment of the target building at maximum density. In this study we using the prototype method to build the virtual area/building, and mapping the movement of the crowds in order to calculate the movement to be carried out in a form of visual crowds movement. The results of research conducted show that the final prototype that was made can accept 3D building models using Sketchup. From the data that has been made through the prototype there are 4498 agents who exit through the main door and 2068 agents use the back door of the target building, with the time needed to evacuate for 2 minutes and 16 seconds. The conclusion of this research is that it is able to present a crowd modeling form with integrated navigation on the game engine, and by using Unity3D for crowd modeling, it can help various groups that require testing in an area.
Inovasi Mesin Pencampur Berbasis Otomasi untuk Mengoptimalkan Produksi Jamur Tiram di Desa Kare Kabupaten Madiun Nur Ihda Farikhatin Nisa; Vevi Maritha; Juwari Juwari; Agung Prasongko; Muhammad Wahyue Nesaputro; Achmad Aminudin; Umi Kulsum; Avip Kurniawan; Ahmad Misfa Kurniawan
JAST : Jurnal Aplikasi Sains dan Teknologi Vol. 9 No. 2 (2025): EDISI DESEMBER 2025
Publisher : Universitas Tribhuwana Tunggadewi Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/jast.v9i2.7600

Abstract

Oyster mushrooms are one of the leading export commodities in Madiun Regency, particularly in Kare Village. The region's cool and fertile environment offers significant potential for mushroom cultivation, providing a source of income and business opportunities for the community. However, the baglog mixing process is still carried out manually. This community partnership empowerment program was designed to enhance the production capacity of farmer groups by applying an automation-based mixer machine to accelerate the baglog preparation process. The program consisted of several stages, including socialization, training in technology utilization, machine implementation, mentoring, evaluation, and planning for program sustainability. The implementation results showed that the mixing time was reduced from 2.5 hours to approximately 1 hour for 300 kg of materials. Production capacity increased significantly from an average of 95 to 190 baglogs per day. The improvements in time efficiency, reduction of manual labor, and enhanced homogeneity of materials demonstrate that this program has provided a tangible impact in increasing the productivity and sustainability of oyster mushroom farmer groups in Kare VillageABSTRAKJamur tiram merupakan salah satu komoditas ekspor unggulan di Kabupaten Madiun, khususnya di Desa Kare. Kondisi wilayah yang sejuk dan subur menjadikan desa ini memiliki potensi besar dalam pengembangan budidaya jamur tiram sebagai sumber pendapatan dan peluang usaha masyarakat. Namun, proses pencampuran bahan baglog masih dilakukan secara konvensional. Program Pemberdayaan Kemitraan Masyarakat ini dirancang untuk meningkatkan kapasitas mitra dalam aspek produksi melalui penerapan mixer machine berbasis otomasi guna mempercepat proses pembuatan baglog. Tahapan kegiatan meliputi sosialisasi, pelatihan penggunaan teknologi, implementasi mesin, evaluasi dan pendampingan, serta perencanaan keberlanjutan program. Hasil implementasi menunjukkan bahwa waktu pencampuran dapat dipangkas dari 2,5 jam menjadi sekitar 1 jam untuk kapasitas 300 kg bahan. Sedangkan kapasitas produksi meningkat signifikan dari rata-rata 95 baglog per hari menjadi 190 baglog per hari. Efisiensi waktu, pengurangan beban tenaga kerja, serta peningkatan homogenitas bahan menunjukkan bahwa program ini memberikan dampak nyata terhadap peningkatan produktivitas dan keberlanjutan usaha kelompok tani jamur tiram di Desa Kare
Application of Untargeted Volatilomics for Halal Authentication of Processed Meat Products Luthfi Nursaudah; Vevi Maritha; Weka Shidha Bhagawan; Puri Ratra Kartini; Desi Kusumawati; Avip Kurniawan
Strada Journal of Pharmacy Vol. 7 No. 2 (2025): October
Publisher : Universitas STRADA Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30994/sjp.v7i2.200

Abstract

Food halalness is essential for Muslim communities, including in Indonesia, where the majority of the population is Muslim. Halal food not only means free from prohibited ingredients, such as pork and alcohol, but must also be processed in accordance with Islamic law. With the increasing consumption of processed products such as nuggets, concerns about the authenticity of raw materials have become an important issue. This research aims to determine and classify the volatile compound profile of beef and pork nuggets for halal authentication using a combination of GC-MS and chemometric methods. The analysis data were processed using a multivariate statistical approach in the form of Principal Component Analysis (PCA), Cluster Analysis (CA), and Partial Least Squares Discriminant Analysis (PLS-DA). The research method used was a laboratory experimental study with a volatilomics approach using a combination of GC-MS and chemometric methods. The results showed significant differences in the volatile compound profiles between the two types of nuggets (with pork samples containing 68 volatile compounds and beef samples containing only 45 compounds), which allowed separation and classification based on chemical composition. Further analysis identified specific volatile compounds that have the potential to serve as markers of halal status. The result of the research was volatile compound profiles of beef and pork nuggets were successfully determined using the GC-MS method, showing differences in composition.
Co-Authors Achmad Aminudin Agung Prasongko Ahmad Misfa Kurniawan Ali Khumaidi Desi Kusumawati Juwari Juwari Luthfi Nursaudah Mochammad Fachri Muhammad Wahyue Nesaputro Nur Ihda Farikhatin Nisa Puri Ratra Kartini Umi Kulsum Vevi Maritha Weka Shidha Bhagawan