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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Sistemasi: Jurnal Sistem Informasi Electro Luceat JOURNAL OF APPLIED INFORMATICS AND COMPUTING ILKOM Jurnal Ilmiah JURNAL IT: Media Infromasi STMIK Handayani Makassar Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Indonesian Journal of Electrical Engineering and Computer Science Journal of System and Computer Engineering Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Rekayasa elektrika Inspiration: Jurnal Teknologi Informasi dan Komunikasi Information Technology International Journal (ITIJ)
Abdul Jalil
STMIK Handayani Makassar
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering

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Integration of Multi-Modal Sensors and Robot Arm Vision for Monitoring and Assisting Elderly Activities Jura, Suwatri; Jalil, Abdul
Jurnal Rekayasa Elektrika Vol 21, No 1 (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v21i1.41273

Abstract

This research aims to develop an integration device combining Multi-Modal Sensors and Robot Arm Vision (MMS-RAV) for monitoring activities and assisting in healthcare services for the elderly at home. The method used to develop this device involves integrating MMS, which consists of PIR sensors for detecting the presence of the elderly, LDR sensors for detecting home light conditions, fire sensors for detecting flames, and DHT11 sensors for measuring temperature and humidity. Additionally, the RAV component assists and supports the activities of the elderly and includes a camera for vision-based object detection, ultrasonic sensors for robot navigation, Raspberry Pi as the data processing center, an arm for object retrieval and camera movement, LCD for displaying messages, omni-wheels for robot navigation, and buzzer for early warnings in case of anomalous conditions with the elderly. In this research, MMS functions to monitor elderly activities, while RAV supports healthcare services for the elderly, particularly in medication intake using image processing techniques. The software used to control the entire MMSRAV system is the robot operating system. The results of this study indicate that the developed MMS-RAV device is effective for monitoring elderly activities and assisting in providing healthcare services for medication intake.
Sistem Pemantauan Kedisiplinan Santri Berbasis Citra Raspberry Pi Dan Internet Of Things Qadri, Khaerul; Razak, Mashur; Jalil, Abdul
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 11 No 2 (2025): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v11i2.3500

Abstract

The pesantren, as a traditional Islamic educational institution, faces significant challenges in maintaining discipline due to the large number of students and the extensive area. To address these challenges, an innovative discipline monitoring system using Internet of Things (IoT) technology, Raspberry Pi, and image recognition has been developed. This system employs a webcam connected to the Raspberry Pi to capture and analyze students' faces, activating a buzzer in response to detected disciplinary patterns. The system was installed in strategic locations, with real-time audio responses provided by the buzzer and data processed and recorded via a web-based platform. Analysis of the system's performance reveals that violations most frequently occur in the afternoon, accounting for 45.7%, followed by daytime violations at 30.4%. The system demonstrates high accuracy, efficiency, and reliability in detecting and managing disciplinary issues. These findings, illustrated in the accompanying charts and pie diagram, underscore the system’s operational efficiency, high detection accuracy, and effective data management capabilities, significantly enhancing discipline management and the overall quality of education in the pesantren.
Analisis Ulasan E-commerce Menggunakan Fine Grained Sentiment Analysist dan Convolutional Neural Network Harun, Rusni; Razak, Mashur; Jalil, Abdul
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 11 No 2 (2025): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v11i2.3529

Abstract

Beragam ulasan dan komentar dari konsumen Aplikasi e-Commerce seringkali ditinggalkan pada kolom komentar merupakan pengalaman mereka saat mengadakan transaksi jual beli pada platform e-commerce dari yang sangat positif hingga sangat negatif dapat memberikan informasi berharga tentang kepuasan atau ketidakpuasan pelanggan. Ulasan seringkali di tulis dalam bahasa alami yang tidak terstruktur sehingga sulit dianalisis secara manual karena dalam skala besar. Penelitian ini dilakukan untuk menganalisis ulasan pada aplikasi e-commerce platform Bukalapak dan Tokopedia menggunakan metode Fine Grained Sentiment Analysis dan Convolutional Neural Network dengan 1000 dataset yang di scrawling dari google play store menggunakan google colab sebagai toolsnya. Penelitian ini bertujuan untuk memberikan informasi bagi perusahaan dari analisis sentimen yang diperoleh sehingga dapat merespons dengan cepat terhadap umpan balik pelanggan, dan kemudian bisa meningkatkan kualitas layanan, dan mengoptimalkan pengalaman belanja secara online. Penelitian ini menggunakan 5 kelas sentimen yaitu : sangat positif, positif, sangat negatif, negatif dan netral. Dari hasil eksperimen yang telah dilakukan hasil akurasi yang diperoleh dari aplikasi e commerce Tokopedia dengan epoch 10, 20, 40, 60, 80, 100 adalah 62.50 %, 59.26 %, 57.58 %, 48.39%, 51.85%, 65.62%, pada aplikasi Bukalapak adalah 62.50 %, 55.17 %, 62.86 %, 50.00%, 75.00%, 51.72%.
MONITORING PEMETAAN KUALITAS UDARA MENGGUNAKAN METODE FUZZY BERBASIS INTERNET OF THINGS Arapa, Alman; Wardi, Wardi; Jalil, Abdul
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 11 No 2 (2025): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v11i2.3539

Abstract

Peningkatan jumlah kendaraan bermotor di Kota Baubau, Provinsi Sulawesi Tenggara, menjadi salah satu penyebab utama memburuknya polusi udara. Fokus utama dari penelitian ini adalah pada pengukuran emisi gas buang kendaraan dan parameter kualitas udara seperti suhu dan polusi di lokasi lampu lalu lintas. Penelitian ini bertujuan untuk mengembangkan sistem pemantauan kualitas udara berbasis IoT menggunakan sensor MQ-135 dan DHT22 di Kota Baubau. Dengan sistem ini, data real-time tentang kualitas udara dapat dikumpulkan, dianalisis, dan diakses secara luas. Dengan menggunakan sensor MQ-135 dan DHT22, sistem IoT dapat memberikan data yang akurat dan kontinu tentang berbagai parameter kualitas udara. Sensor MQ-135 memiliki kemampuan mendeteksi berbagai gas berbahaya seperti amonia, nitrogen oksida, benzena, asap, dan karbon dioksida,sementara sensor DHT22 dapat mengukur suhu sekitar. Kombinasi kedua sensor ini memungkinkan pemantauan yang lebih holistik dan mendalam terhadap kondisi kualitas udara di sekitar lampu lalu Hasil analisis menunjukkan bahwa kualitas udara pada pagi hari tergolong baik, pada siang hari tergolong sedang dan pada malam hari tergolong baik. Sistem ini berhasil mengumpulkan dan mengolah data real-time dari sensor MQ-135 dan DHT22, Algoritma fuzzy logic mampu menentukan tingkat polusi udara dengan akurat dan IoT menyebarluaskan Informasi kualitas udara sehingga sistem ini efektif dalam mendeteksi dan menganalisis kualitas udara di perkotaan juga Sistem ini membantu mengurangi dampak kesehatan akibat polusi udara dan mendukung kebijakan pengendalian polusi.
Sentiment Analysis of Instagram Comments for Monitoring Personal Branding of YBM Brilian Scholarship Recipients, Regional Office, Makassar Kherani, Riska; Arda, Abdul Latief; Jalil, Abdul; Asnimar, Asnimar; Iskandar, Akbar
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 1 (2025): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v15i1.103

Abstract

This study focuses on the implementation of the Multilingual BERT (mBERT) architecture combined with a Long Short-Term Memory (LSTM) model to classify Instagram comments into positive, negative, and neutral sentiments. The primary objective is to support the monitoring of personal branding among recipients of the Bright Scholarship managed by the Baitul Mall BRILiaN Foundation (YBMRILiaN) at the Makassar Regional Office. The experimental results indicate that mBERT is capable of effectively analyzing sentiment from Instagram comments on scholarship awardees from Hasanuddin University and UIN Alauddin Makassar. Using a sample of 10 awardees, the model demonstrates a consistent increase in accuracy across epochs, achieving an average accuracy of 63.87% and a peak accuracy of 73.18% for Awardee 10, with a corresponding loss value of 1.094. These findings highlight the potential of this approach to assist scholarship organizers in systematically evaluating the personal branding of awardees on social media. Moreover, the analysis identifies one awardee whose personal branding performance may require further consideration regarding scholarship eligibility.
Multi-Modal Sensor Integration in Smart Rooms to Optimize Internet of Things-Based Monitoring and Security Control of Autistic Child Detection Activities Taufiq, Arfah; Sahibu, Supriadi; Jalil, Abdul
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.11013

Abstract

The advancement of Internet of Things (IoT) technology has opened new opportunities for automated monitoring systems, especially for children with Autism Spectrum Disorder (ASD). These children require intensive supervision due to communication limitations and unpredictable behavior. This study aims to design and implement a smart room system integrated with multi-modal sensors to monitor autistic children's activities in real time.Using a Research and Development (R&D) approach with the ADDIE model, the system was developed with an ESP32 microcontroller and sensors including PIR (motion), DHT22 (temperature), microphone (sound), and LDR (light). The Mamdani fuzzy logic algorithm processes sensor data to classify safety levels. Data is visualized and notified via the Blynk platform.Test results show the system effectively detects "safe," "needs attention," and "critical" conditions with high accuracy, providing timely alerts for parents. This solution enhances home-based supervision and offers a practical, IoT-based approach to child safety and care.
IoT-based Soil Nutrient Monitoring and Control Using Fuzzy Logic and Multi-Modal Sensor Integration Hakis, Andi Wahyunita; Arda, Abdul Latief; Jalil, Abdul
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10575

Abstract

The decline in soil quality due to inappropriate agricultural practices has become one of the main factors contributing to reduced agricultural productivity. The primary focus of this research is on monitoring and controlling soil nutrient quality, particularly in clay soil used for chili cultivation. This study aims to develop an Internet of Things (IoT)-based monitoring system integrated with multi-modal sensors and fuzzy logic algorithms. The system is designed to support precision agriculture by enabling automated decision-making based on real-time environmental data. The research uses an experimental approach, involving the design of a system based on the ESP32 microcontroller, sensor data processing using the Mamdani fuzzy algorithm, and integration with the Blynk platform for remote monitoring and control. The system responds to changes in environmental conditions to determine optimal timing for irrigation and liquid nutrient application adaptively. The test results show that the system achieved a classification accuracy of 84% and an average F1-score of 88.5%, indicating its effectiveness in handling continuous and uncertain sensor data. Evaluation of the fuzzy logic performance revealed a 75.8% success rate in irrigation control and 99.8% accuracy in nutrient delivery, demonstrating the system’s ability to respond accurately and efficiently to actual soil and environmental conditions. With its stable, adaptive, and resource-efficient performance, this system has the potential to become a practical solution for automating irrigation and fertilization processes in support of technology-driven and sustainable agriculture.
Robot vision and virtual reality integration to help paralyzed patients mobility Jalil, Abdul; Suparno, I Wayan
Indonesian Journal of Electrical Engineering and Computer Science Vol 40, No 2: November 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v40.i2.pp610-618

Abstract

This study aims to develop a device that can assist the mobility of paralyzed patients, enabling them to communicate with family and caregivers by integrating robot vision and virtual reality (VR). The method used to connect audio and visual data communication between robot vision and VR is by utilizing the robot operating system (ROS2) middleware communication node through topics over a wireless network. In this research, paralyzed individuals can maneuver based on the movement direction of robot vision, which is remotely controlled via a joystick through Bluetooth communication. The input devices used in this system include a camera, microphone, joystick, and ultrasonic sensors. The processing part uses a Raspberry Pi as the data processing center, and the output includes a DC motor, servo motor, speaker, 5-inch monitor, and headset. The results indicate that the integration of robot vision and VR can assist paralyzed individuals in communicating with family or caregivers at distances of up to 10 meters. This is due to the maximum joystick control range for moving the robot via Bluetooth communication being 10 meters. Furthermore, this study shows that the use of robot vision and VR can improve paralyzed patients’ motivation, supporting the medical field in patient care.
Implementation of Braille-Mobile Device to Help Visually and Speech-Impaired Persons Communicate Based on the Blynk IoT Kamaruddin, Kamaruddin; Suparno, I Wayan; Jalil, Abdul; Fauzy, Ahmad; Serlina, Serlina
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11072

Abstract

Visual and speech impairment is a condition in which an individual is unable to communicate with family or society due to the inability to see and speak. The objective of this study is to develop a Braille-Mobile device that assists individuals with visual and speech disabilities in communicating remotely with family members or society using Internet of Things (IoT) technology. In this study, the method used to generate messages from the Braille-Mobile device is based on the combination of six buttons pressed on the device, which are translated into letters using the Braille code concept. The messages are then transmitted via the Blynk IoT platform from the Braille-Mobile device to the mobile devices of family members or society through the Internet network. The results of this study show that the developed Braille-Mobile device can be used to send messages in the form of the words HELP, EAT, DRINK, and DRUG to family smartphones using IoT technology with a success rate of up to 76.25% and a message transmission time ranging from 4 to 8 seconds. Furthermore, the Braille-Mobile device is also capable of receiving confirmation from family smartphones in the form of voice responses.
Optimization of Rice Field Irrigation Based on Fuzzy Logic and the Internet of Things Through Water Level Analysis Nasir, Hamida; Wardi, Wardi; Jalil, Abdul
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11244

Abstract

The low efficiency of conventional irrigation systems often results in water waste and decreased rice productivity. The research was carried out by designing an automatic monitoring and control system using a water level sensor, a Raspberry Pi Pico W microcontroller, a water pump, and a Blynk application as a real-time monitoring medium. Water level data is processed by fuzzy logic method to categorize low, normal, or high conditions, so that the system can adjust the water pump adaptively according to the needs of the land. The results of the study show that the integration of IoT and fuzzy logic is able to improve water use efficiency, maintain soil moisture at optimal conditions, and support better rice growth. The system has also been proven to be accurate in the classification of water conditions with a success rate above 90%. Thus, this research contributes to the development of smart agricultural technologies that can increase productivity while supporting sustainable agricultural practices.
Co-Authors Abdul Latief Arda Ainun Rizkyani Fadillah Akbar Iskandar Andi Syam Aswandi Arapa, Alman ASNIMAR ASNIMAR, ASNIMAR Chandra Wisnu Nugroho Fauzy, Ahmad Fuari Anatasya, A. Edeth Hakis, Andi Wahyunita Harun, Rusni Hasriadi, Hasriadi I Wayan Suparno Ingrid Nurtanio Jura, Suwatri JUSMAN, HERY ILHAMSYAH Kamaruddin Kamaruddin Kherani, Riska Maibara, Rais Mashur Razak Matalangi, Matalangi Muhammad Firman Munawirah, Munawirah Nasir, Hamida Pujianti Wahyuningsih Putu Rika Permana, I Gusti Qadri, Khaerul Sahibu, Supriadi Serlina, Serlina Suparno, I Wayan Taufiq, Arfah Wardi Wardi