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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmiah Kursor JTSL (Jurnal Tanah dan Sumberdaya Lahan) JURNAL INTEGRASI Jurnal Elementer (Elektro dan Mesin Terapan) INOVTEK Polbeng - Seri Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknik Elektro dan Komputer TRIAC Technologia: Jurnal Ilmiah Journal of Applied Electrical Engineering Jurnal Nasional Teknik Elektro dan Teknologi Informasi Proceeding Applied Business and Engineering Conference
Iman Fahruzi
Politeknik Negeri Batam
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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ANALYSIS OF MINERALOGICAL COMPOSITION OF SOIL AND LAEVISTROMBUS CANARIUM FOR SUSTAINABLE AGRICULTURE  ON BATAM ISLAND Budiana, Budiana; Fahruzi, Iman; Mutialif Maulidiah, Hana; Mishthafiyatillah , Mishthafiyatillah; Dwijotomo, Abdurahman; Kaisar Wisnu Kita, Lalu; Gustin, Oktavianto; Fitriana, Fitriana; Hartanti, Tri; Kharisma Nugraha, Tegar
JTSL (Jurnal Tanah dan Sumberdaya Lahan) Vol. 13 No. 2 (2026)
Publisher : Departemen Tanah, Fakultas Bio-industri Pertanian dan Kehutanan, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2026.013.2.20

Abstract

Research on the identification of soil composition and Laevistrombus canarium (Gonggong) composition has been successfully conducted. Identification testing for all samples was performed using XRD and XRF. Diffraction data analysis was carried out using match!2 software and quantitative analysis was conducted using Rietveld refinement. The study found that, using XRF, the main soil constituent is Si and the main Gonggong constituent is Ca. The phases identified using Match!2 software in the soil samples were Quartz, Osumilete and Biotite. Furthermore, the phase identified in the Gonggong sample was CaCO3 single phase. Finally, the study found that the soil tested lacked macronutrients, such as N, needed for plants to grow well. To obtain these macronutrients, Laevistrombus canarium (Gonggong) has potential as an additional soil amendment to improve soil fertility. The implication is that the land in Batam has the potential for sustainable agriculture.
IoT-Based Sign Language Translation System for Deaf Individuals Nafla Zahira Semry; Iman Fahruzi
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13742

Abstract

Deaf-mute individuals face significant communication barriers due to limited public familiarity with sign language. In Indonesia, SIBI (Sistem Isyarat Bahasa Indonesia) is the government-standardised one-handed finger-spelling system used as the basis of communication for the hearing-impaired. This paper presents the design, implementation, and evaluation of an IoT-based hand sign language translator glove that recognises all 26 SIBI alphabet letters and displays the result on an Android application. The glove integrates five flex sensors for finger-bending detection, a GY-91 module (MPU-9250 + BMP280) for wrist orientation measurement, and a CD4051 analog multiplexer, all processed by a Wemos D1 Mini (ESP8266) microcontroller. Sensor readings are classified using a threshold-based decision method calibrated across three subjects. Classified letter data are transmitted via MQTT over Wi-Fi to a cloud broker and rendered in real time by an Android application. Experimental evaluation covers flex sensor resistance characterisation for all 26 SIBI letters, GY-91 gyroscope orientation profiling, multi-subject threshold calibration, end-to-end application display accuracy, and voltage measurement error percentage. Results confirm that the combined flex-sensor and gyroscope approach identifies SIBI alphabet letters with 90.00% end-to-end display accuracy and a voltage measurement error below 5%, indicating the preliminary feasibility of a low-cost, single-hand wearable IoT glove as an assistive sign-language communication aid, based on testing with a small number of participants. The system in its current form translates individual static SIBI alphabet letters only; it does not yet recognise dynamic gestures, whole words, or continuous sentence-level sign language.
Co-Authors Abdurahman Dwijotomo Agus Wahyudi Akbar, Muhammad Ikram Andrianur Akmal, Muhamad Raihan Alifiansyah, Irfan Amir Ardika Cahya Riyatna Anton Sutrisno Budiana, Budiana Efrianto Efrianto Faizal Rozy Febrianto, Wahyu Ferdinan, Wisnu Fitriana Fitriana I Ketut Eddy Purnama Ika Karlina Laila Nur Suciningtyas Imam Mulyono Imam Sholihuddin Indra Daulay Kharisma Nugraha, Tegar Kristian Hutagalung, Yogi Lalu Kaisar Wisnu Kita Marpaung, John Purba Mauridhi Hery P Mauridhi Hery Purnomo Mishthafiyatillah , Mishthafiyatillah Mutialif Maulidiah, Hana Nafla Zahira Semry Nanta Fakih Prebianto Nicco Nicco Oktani, Dessy Oktavianto Gustin Panjaitan, Junaedi Satrio Parulian Sepriadi Prasaja Wikanta Ricardo, Riki Ridwan Ridwan Rinaldi, Anggi Rindang Alamsyah Silalahi, Laurent Siti Aisyah Stevanus Hardiristanto Timanta, Febrian Harlim Tri Hartanti, Tri Zulhaq, Danang Fariz