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All Journal Jurnal Teknologi Dan Industri Pangan Journal of Innovation and Applied Technology Jurnal Pangan dan Agroindustri Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Teknologi Pertanian Jurnal Ilmu Pangan dan Hasil Pertanian JEPA (Jurnal Ekonomi Pertanian dan Agribisnis) JMM (Jurnal Masyarakat Mandiri) JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) International Journal of Advance Tropical Food (IJATF) MOVE: Journal of Community Service and Engagement Tri Dharma Mandiri: Diseminasi dan Hilirisasi Riset Kepada Masyarakat (Jurnal Pengabdian Kepada Masyarakat) Andalas Journal of Electrical and Electronic Engineering Technology J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat)
Dego Yusa Ali
Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Optimization of maltodextrin concentration and spray drying temperature on physicochemical characteristics of powdered edamame milk Ali, Dego Yusa; Pramita, Hera Sisca; Widyaningsih, Tri Dewanti; Jayanti, Theresia Vania
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 7, No 2 (2024)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2024.007.02.1

Abstract

Peeled edamame can be processed into a product that will increase added value, including edamame milk. The perishable nature of milk requires further processing, such as drying it into powder. One of the commonly used fillers is maltodextrin because it can improve the product’s physical properties. With this treatment process, the physicochemical characteristics could be changed. Therefore, this study aimed to optimize the treatment of the physicochemical characteristics of edamame milk powder. Response Surface Methodology (RSM) with Central Composite Design (CCD) experiment with maltodextrin concentration factor (5.71%-10.00%) and spray drying temperature (160°C-215°C) was used in this study. Analysis of physicochemical characteristics carried out included water content, water activity, solubility, hygroscopicity, and color (a(-)). The results showed that treatment with the combination of 6.00% maltodextrin and 215 °C of drying temperature offer the optimum condition in producing a high-quality edamame milk powder.
The Convergence of Artificial Intelligence and Electronic Devices for Rapid Food Quality Measurement: A Systematic Review Mohammad Alfiza Rayesa; Dego Yusa Ali; Neza Fadia Rayesa; Elsa Lolita Anggraini; Togi Siholmarito Simarmata
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 5 No. 2 (2025): November 2025
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v5i2.44

Abstract

Ensuring the quality and safety of food is a critical global challenge intensified by complex supply chains and increasing consumer demand for transparency. Traditional measurement techniques—ranging from microbial plating to sensory panels- are often destructive, time-consuming, labor-intensive, and expensive. Recently, non-invasive electronic sensing technologies, coupled with Artificial Intelligence, have emerged as powerful alternatives for rapid and objective assessment. This review aims to identify, synthesize, and appraise peer-reviewed research published between 2005 and 2025 that incorporates AI into electronic devices: electronic noses, computer vision, and spectroscopy for food quality measurement. A systematic literature search was conducted across ScienceDirect, SpringerLink, and IEEE Xplore. The review followed the PRISMA guidelines by identifying 63 studies that met strict inclusion criteria for integrating sensing, hardware, and machine learning algorithms. Analyses show that Computer Vision Systems (CVS), Hyperspectral Imaging (HSI), and Electronic Noses (e-noses) technologies. Deep Learning, in particular Convolutional Neural Networks (CNNs), has surpassed traditional machine learning techniques, such as SVM and PCA, in performance. Key applications include ripeness grading of fruits, detection of adulteration in powders, and freshness monitoring of vegetables and meat products. Integrating AI with electronic sensors provides a scalable, accurate, and non-destructive path forward for Industry 4.0 in the food sector. However, challenges to the issues of model interpretability, data standardization, and real-world robustness remain.
PROGRAM DIGITALISASI DESA WISATA: PEMETAAN POTENSI WISATA LOKAL DAN PELATIHAN KONTEN Rayesa, Neza Fadia; Ali, Dego Yusa; Meitasari, Deny; Prasetyaningrum, Dian Islami
JMM (Jurnal Masyarakat Mandiri) Vol 10, No 1 (2026): Februari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v10i1.36824

Abstract

Abstrak: Program Digitalisasi Desa Wisata di Kabupaten Malang dilaksanakan untuk meningkatkan kapasitas digital perangkat desa dan kelompok sadar wisata (pokdarwis), dengan fokus pada penguatan promosi pariwisata berbasis komunitas. Program ini menggunakan pendekatan Participatory Action Research (PAR) yang menempatkan masyarakat sebagai subjek aktif dalam proses transformasi digital desa. Melalui pelatihan intensif, keterampilan digital pengelola desa dalam memproduksi dan mengelola konten kreatif untuk media sosial, khususnya Instagram, mengalami peningkatan yang signifikan. Pelatihan yang melibatkan 16 perangkat desa dan anggota pokdarwis memungkinkan peserta memproduksi konten secara mandiri dan konsisten, sehingga memperkuat digital branding desa. Selain pelatihan, program ini juga mencakup pemetaan potensi wisata secara partisipatif yang menghasilkan tiga jenis peta digital, yaitu Peta Rupa Bumi, Peta Batas Administrasi, dan Peta Potensi Wisata. Ketiga peta tersebut berfungsi sebagai referensi spasial untuk mendukung perencanaan desa yang lebih terarah. Integrasi data spasial ini selanjutnya dimanfaatkan sebagai konten utama dalam perancangan ulang website desa yang sebelumnya tidak aktif. Sebagai upaya menjaga keberlanjutan promosi, disusun Content Calendar selama enam bulan untuk menciptakan konsistensi unggahan konten, sekaligus memposisikan media sosial sebagai sarana komunikasi publik yang strategis.Evaluasi program dilakukan melalui tugas praktik pembuatan konten poster sebagai indikator peningkatan keterampilan peserta. Hasil evaluasi menunjukkan bahwa sebesar 87% peserta mengalami peningkatan keterampilan dalam pembuatan konten visual.Abstract: The Digitalization Program for Tourism Villages in Malang Regency was implemented to enhance the digital capacity of village officials and tourism awareness groups (pokdarwis), with a focus on strengthening community-based tourism promotion. The program adopted a Participatory Action Research (PAR) approach, positioning local communities as active subjects in the village digital transformation process. Through intensive training, the digital skills of village tourism managers in producing and managing creative content for social media particularly Instagram improved significantly. The training, which involved 16 village officials and pokdarwis members, enabled participants to independently and consistently produce content, thereby strengthening the village’s digital branding. In addition to capacity-building activities, the program included participatory mapping of tourism potential, resulting in three types of digital maps: Topographic Map, Administrative Boundary Map, and Tourism Potential Map. These maps serve as spatial references to support more structured village planning. The integrated spatial data were subsequently utilized as core content in the redesign of the village website, which had previously been inactive. To ensure the sustainability of digital promotion efforts, a six-month Content Calendar was developed to maintain content consistency and position social media as a strategic public communication platform. Program evaluation was conducted through practical assignments involving poster content creation as an indicator of skill improvement. The evaluation results show that 87% of participants experienced an increase in visual content creation skills.
Co-Authors Adila, Lutfia Adnel Nathaniela Sabatudung Ahmad Zaki Mubarok Akbar, Verga Windi Ali Wafa Alia Fibrianingtyas Andriani Kusumawati Annisa Aurora Kartika Aprilia Putri Rahayu Athirah, Clarissa Evanarda Azzahramidha Pradichaputri Bella Ayu Shafira Brilliant Praditya Deny Meitasari Dr.Ir. Yunianta, DEA Elsa Lolita Anggraini Endrika Widyastuti Fatmala, Yayank Ulfa Igoy Arya Bimo Imanukha, Aizahwa Jatmiko, Naila Syakira Jayanti, Theresia Vania Jocelino, Vincenzio Kgs Ahmadi KIKI FIBRIANTO Kusuma, Achmad Fauzi Lutfia Adila Putri Muhamad Ibnu Shidqi Farras Mu’awannah, Nailul N.A. Kartina Nadyah Eka Nurizza Nevara Latansya Neza Fadia Rayesa Neza Fadia Rayesa Neza Rayesa Nur Istianah Nur Istianah Nur Istianah Pangestu, Clive Nathan Praditya, Brilliant Pramita, Hera Sisca Pranita, Meylda Dyah Prasetyaningrum, Dian Islami Purnama Darmadji Puspita, Riska Rayesa, Mohammad Alfiza Rayesa, Neza Fadia Retno Astuti Rini Yulianingsih Riska Puspita Sapitri, Nia SIMON BAMBANG WIDJANARKO Siska Septiana Sudarma Dita Wijayanti Sudarminto Setyo Yuwono Tanalyna Hasna Teti Estiasih Teti Estiasih Teti Estiasih Togi Siholmarito Simarmata Tri Dewanti Widyaningsih Wenny Bekti Sunarharum Widya Dwi Rukmi Putri Wijaya, Alvin Bowen Yudi Pranoto