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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Physics Student Journal Jurnal EECCIS Natural B Journal of Engineering and Technological Sciences Jurnal Fisika Unand Science and Technology Indonesia JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Science JMM (Jurnal Masyarakat Mandiri) Indonesian Physical Review JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Mitra Akademia: Jurnal Pengabdian Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram
Agus Naba
Departemen Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Brawijaya
Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Assessment of Post-Disaster Building Damage Levels Using Back-Propagation Neural Network Prediction Techniques Wibowo Almais, Agung Teguh; Fajrin, Rahma Annisa; Naba, Agus; Sarosa, Moechammad; Juhari, Juhari; Susilo, Adi
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.2711

Abstract

Indonesia is susceptible to natural disasters, with its geographical location being one of the contributing factors. To mitigate the harmful effects of natural catastrophes, a disaster emergency response must be undertaken, consisting of steps taken immediately following the event. These operations include rescuing and evacuating victims and property, addressing basic needs, providing protection, and restoring buildings and infrastructure. Accurate data is required for adequate recovery after a disaster. The Badan Penanggulangan Bencana Daerah (BPBD) oversaw disaster relief efforts, but faulty damage assessments slowed restoration. Surveyor subjectivity and differing criteria result in discrepancies between reported damage and reality, generating issues during the post-disaster reconstruction. The objective of this study is to develop a prediction system to measure the extent of damage caused by natural disasters to buildings. The five criteria that decide the level of building damage after a disaster are building conditions, building structure condition, physical condition of severely damaged buildings, building function, and other supporting conditions. The data used are from the BPBD of Malang city from 2019 to 2023. This system would allow surveyors to make speedy and objective evaluations. Five different models were tested using the Neural Network Backpropagation approach. Model A2 produces the highest accuracy of 93.81%. A2 uses a 40-38-36-34 hidden layer pattern, 1000 epochs, and a learning rate 0.1. These findings can lay the groundwork for advanced prediction models in post-disaster building damage evaluation research.
Autonomous mobile robot implementation for final assembly material delivery system Firdaus, Ahmad Riyad; Sholihuddin, Imam; Hutasoit, Fania Putri; Naba, Agus; Suciningtyas, Ika Karlina Laila Nur
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i1.pp158-173

Abstract

This study presents the development and implementation of an autonomous mobile robot (AMR) system for material delivery in a final assembly environment. The AMR replaces conventional transport methods by autonomously moving trolleys between the warehouse, production stations, and recycling areas, thereby reducing human intervention in repetitive logistics tasks. The proposed system integrates a laser-SLAM navigation approach, customized trolley design, RoboShop programming, and robot dispatch system coordination, enabling real-time route planning, obstacle detection, and material scheduling. Experimental validation demonstrated high accuracy in path following, with root mean square error values ranging between 0.001 to 0.020 meters. The AMR achieved an average travel distance of 118.81 meters and a cycle time of 566.90 seconds across three final assembly stations. The overall efficiency reached 57%, primarily due to reduced idle time and optimized material replenishment. These results confirm the feasibility of AMR deployment as a scalable and flexible intralogistics solution, supporting the transition toward Industry 4.0 smart manufacturing systems.
SOSIALISASI HASIL INVESTIGASI AIR BAWAH TANAH SEBAGAI UPAYA MENGATASI KEKERINGAN Pamungkas, Mauludi Ariesto; Susilo, Adi; Juwono, Alamsyah M.; Naba, Agus; Yudianto, Didik; Idmi, Mohammad Habibiy; Hanafi, Muhammad Gusti Alif Zuhry; Gumelar, Dito Ibrahim; Hasan, Muhammad Fathur Rouf
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 6 (2024): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i6.27233

Abstract

Abstrak: Ketika memasuki musim kemarau, beberapa wilayah di Kabupaten Malang mengalami kesulitan air untuk kebutuhan hidup sehari-hari, salah satunya Dusun Sumberwaluh, Desa Pringgodani, Kecamatan Bantur. Kegiatan ini bertujuan untuk meningkatkan pemahaman peserta kegiatan terkait potensi air tanah sebagai langkah awal untuk mengatasi kekeringan pada lokasi pengabdian. Metode pelaksanaan adalah sosialisasi, sedangkan mitra kegiatan yaitu Yayasan SEMAIN dan warga setempat. Kegiatan sosialisasi diikuti oleh 5 Dosen, 3 mahasiswa, 4 mitra dari yayasan SEMAIN, dan 57 mitra sekaligus peserta dari warga setempat. Evaluasi untuk mengukur pengetahuan peserta dilakukan melalui pertanyaan langsung sebanyak 3 pertanyaan. Indikator keberhasilan kegiatan ini adalah peserta memiliki pengetahuan tambahan terkait potensi sumber air tanah pada daerah mereka. Hasil yang dicapai yaitu peserta memperoleh pengetahuan baru, dimana mayoritas peserta mampu menjawab 2 dari 3 (66,6%) pertanyaan terkait materi sosialisasi yang diberikan. Secara ekonomi, kegiatan investigasi sumber air tanah menghabiskan biaya sekitar 30 juta, sedangkan pembuatan sumur bor sekitar 70 juta (total 100 juta). Biaya tersebut diberikan secara gratis kepada masyarakat setempat sebagai bentuk kepedulian terhadap sesama.Abstract: When entering the dry season, several areas in Malang Regency experience water shortages for daily needs, one of which is Dusun Sumberwaluh, Pringgodani Village, Bantur District. This activity aims to increase participants' understanding of groundwater potential as an initial step in overcoming drought at service locations. The implementation method is socialization, while the activity partners are the SEMAIN Foundation and local residents. The socialization activity was attended by 5 lecturers, 3 students, 4 partners from SEMAIN Foundation, and 57 partners and participants from local residents. Evaluation to measure participants' knowledge is carried out through 3 direct questions. The success indicator of this activity is that participants have additional knowledge regarding the potential of groundwater sources in their area. The results achieved were that participants gained new knowledge, where the majority of participants were able to answer 2 out of 3 (66.6%) questions related to the socialization material provided. Economically, groundwater source investigation activities cost around 30 million, while drilling wells cost around 70 million (total 100 million). These costs are provided free of charge to the local community as a form of concern for others. 
UPAYA PENINGKATAN KESADARAN DALAM MITIGASI BENCANA KEKERINGAN MENGGUNAKAN METODE RESISTIVITAS DAN OBSERVASI LAPANG Susilo, Adi; Juwono, Alamsyah M.; Naba, Agus; Pamungkas, Mauludi Ariesto; Yudianto, Didik; Muhardi, Muhardi; Idmi, Mohammad Habibiy; Ilham, Ilham
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 6 (2025): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i6.35813

Abstract

Abstrak: Pengabdian ini bertujuan mengedukasi masyarakat tentang upaya mitigasi terhadap bencana kekeringan di wilayah desa setempat sehingga meningkatkan softskill masyarakat dalam menghadapi potensi bencana alam tersebut serta hardskill dalam pengelolaan air bersih yang efisien. Metode yang digunakan yaitu metode resistivitas sounding atau VES (Vertical Eletric Sounding). Kegiatan pengabdian diikuti oleh Tim Pengabdian Teknik Geofisika Universitas Brawijaya sekitar 5 orang dengan profil sebagai ahli geofisika dan ahli geologo, Yayasan SEMAIN sekitar 10 orang dengan kemampuan dalam menyelaraskan hubungan para ahli dan warga serta membantu dalam penyuluhan air bersih dan warga setempat sebagai pelaku dalam kegiatan. Hasil pengabdian diwujudkan dalam bentuk peta persebaran air tanah yang dapat digunakan dalam acuan pengeboran sumber mata air. Pemberian materi berupa ceramah dan praktik umum secara langsung dan berkala sehingga dapat meningkatkan kesadaran akan pentingnya air bersih. Tingkat persente pemahaman masyarakat sekitar rata-rata 19.2% sebelum dilakukan pengabdian dan meningkat rata- rata menjadi 89% setelah dilakukan pengabdian. Hal ini dibuktikan dengan penggunaan air bersih yang lebih efisien dibanding sebelumnya seperti penampungan air hujan perubahan kebiasaan penggunaan air bersih.Abstract: This community service aims to educate the community about mitigation efforts against drought disasters in the local village area so as to improve the community's soft skills in dealing with potential natural disasters as well as hard skills in efficient clean water management. The method used is the resistivity sounding method or VES (Vertical Electric Sounding). The community service activity was attended by the Brawijaya University Geophysical Engineering Community Service Team of around 5 people with profiles as geophysicists and geologists, the SEMAIN Foundation of around 10 people with the ability to harmonize the relationship between experts and residents and assist in clean water counseling and local residents as actors in the activity. The results of the community service are manifested in the form of a groundwater distribution map that can be used as a reference for drilling springs. The provision of material in the form of lectures and general practices directly and periodically so as to increase awareness of the importance of clean water. The level of understanding of the surrounding community averaged 19.2% before the community service was carried out and increased to an average of 89% after the community service was carried out. This is evidenced by the use of clean water that is more efficient than before such as rainwater collection changes in clean water usage habits.
Development of an Integrated Artificial Intelligence Model for Bottle Inspection Using Geometric Feature Extraction and ROI-Based Statistical Analysis Dewi Anggraeni; Santoso, Rikho Adi; Naba, Agus; Sakti, Setyawan Purnomo; Rianto, Sugeng
Jurnal Fisika Unand Vol 15 No 2 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.2.147-154.2026

Abstract

In the era of Industry 4.0, the demand for manufacturing systems that are fast, precise, and efficient has become increasingly urgent. This drives the adoption of artificial intelligence (AI) technologies as a promising solution, including in the field of automatic bottle sorting. However, many industries still use manual bottle sorting systems, which often have significant drawbacks. This study presents an integrated artificial intelligence (AI)-based inspection model for automated bottle inspection in the context of smart manufacturing. The proposed approach integrates geometric feature extraction with region-of-interest (ROI)-based statistical image analysis to improve classification accuracy and robustness. Geometric features extracted from bottle contours are combined with optimized ROI selection to enhance feature relevance prior to classification using a Random Forest algorithm. The dataset consists of four bottle types: plastic, glass, cans, and cardboard, captured under controlled imaging conditions. Experimental results show that the proposed integrated method achieves classification accuracy ranging from 96% to 97.72%. The findings confirm that ROI optimization significantly influences statistical feature characteristics and improves overall model performance. This integrated framework is suitable for implementation in automated visual inspection systems supporting Industry 4.0 applications.
Quartz Crystal Microbalance (QCM) Sensor Array with Varying PMMA Coatings for Coffee Roasting Aroma Monitoring Muttaqin, Adharul; Sakti, Setyawan Purnomo; Naba, Agus; Mudjirahardjo, Panca
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 14, No 1: March 2026 (ACCEPTED PAPERS)
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v14i1.7760

Abstract

This study investigates how polymethyl methacrylate (PMMA) coating concentration (3–15 wt%) tunes the response of an eight-channel Quartz Crystal Microbalance (QCM) sensor array to real coffee roasting volatiles at 200–240 °C. One channel was left uncoated as a reference, while seven channels were coated with different PMMA concentrations to introduce controlled response diversity. Baseline-corrected frequency shifts were processed into qualitative features describing response magnitude, kinetics, and early recovery, and principal component analysis (PCA) was used to visualize multichannel pattern structure across repeated roasts. Consistent temperature-dependent response patterns were observed, while run-to-run variability increased at higher temperatures. The first two principal components captured ~75% of the total variance (PC1 dominated by integrated response magnitude and PC2 reflecting kinetic variability). Because chamber humidity increased during roasting, a supplementary robustness check was performed using recorded RH; temperature-dependent structure remained after accounting for humidity effects. Overall, discrimination arises from the collective multichannel response, suggesting potential applicability of PMMA-coated QCM arrays for qualitative coffee roasting monitoring, pending further validation with larger datasets and complementary analytical methods.
Co-Authors Abdurrouf - Adi Susilo Adi Susilo Agung Teguh Wibowo Almais Agus Wahid Ahmad Nadhir Ahmad Riyad Firdaus Alfina Taurida Alaydrus Andrijani Sumarahinsih Ciptaningrum, Mega Satya D. J. Djoko Herry Santjojo Dewi Anggraeni Djoko Santjojo eko teguh purwito, eko teguh Elta Sonalitha Erni Yudaningtyas Fachrudin Pakaja Fajrin, Rahma Annisa Fatimah Kunti Hentihu, Fatimah Kunti Firdaus, Ahmad Kanzu Syauqi Fitroh Amaluddin Gayatri Dwi Santika Gumelar, Dito Ibrahim Hamles Leonardo Latupeirissa Hanafi, Muhammad Gusti Alif Zuhry Handono Kalim Hari Santoso Hari Santoso Hariyadi Soetedjo Harry Soekotjo Dachlan Herditomo Herditomo Hutasoit, Fania Putri Idmi, Mohammad Habibiy Ika Karlina Laila Nur Suciningtyas Ilham Ilham Imam Sholihuddin Juhari Juhari, Juhari Juwono, Alamsyah M. M. Aziz Muslim Maryantho Masarrang Maryantho Masarrang Mauludi Ariesto Pamungkas Mega Satya Ciptaningrum Moechammad Sarosa Moh. Fausi Mohamad Saad A.Sawa Mohammad Zoqi Sarwani, Mohammad Zoqi Mudjirahardjo, Panca Muhammad Aziz Muslim Muhammad Fadlil Khoironi Muhammad Fathur Rouf Hasan Muhardi Muttaqin, Adharul Purwanto Purwanto Ridwan Awalin Rizky Benny Relado, Rizky Benny Santoso, Rikho Adi Setyawan Purnomo Sakti Sri Herwiningsih Sugeng Rianto Suhayat Minardi Sunaryo Sunaryo Umi Salamah Wayan Firdaus Mahmudy Yogie Susdyastama Putra Yudianto, Didik Yuyun Yueniwati