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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Transformasi: Jurnal Pengabdian Masyarakat Annual Research Seminar Proceeding SENDI_U SMATIKA PROtek : Jurnal Ilmiah Teknik Elektro AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA Patria Artha Technological Journal Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Digit : Digital of Information Technology Joong-Ki : Jurnal Pengabdian Masyarakat Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Ilmiah Teknik Elektro Joong-Ki Joong-Ki Smatika Jurnal : STIKI Informatika Jurnal ITEJ (Information Technology Engineering Journals)
Hj. Lindawati
Politeknik Negeri Sriwijaya
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Sosialisasi Sistem Monitoring Kualitas Udara Menggunakan Komunikasi Multi-Hop di BMKG Stasiun Klimatologi Kelas I Palembang Mohammad Fadhli; Asriyadi Asriyadi; Irma Salamah; Lindawati Lindawati
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 2 No. 1: Januari 2023
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v2i1.1314

Abstract

Kualitas udara yang dihirup sehari-hari harus menjadi perhatian untuk dapat mencegah berbagai penyakit akibat pencemaran udara. BMKG merupakan badan negara yang salah satu tugasnya adalah memberikan informasi mengenai kualitas udara kepada masyarakat. Pada saat ini informasi tersebut dapat diakses oleh masyarakat melalui website dan aplikasi Android BMKG. Untuk dapat menyajikan data kualitas udara, maka dibutuhkan sistem jaringan sensor yang mampu membaca kualitas udara dengan akurat. Pada kegiatan pengabdian ini telah disosialisasikan suatu alternatif sistem monitoring kualitas udara yang menggunakan komuniaksi multi-hop berbasis LoRa kepada pihak BMKG Balai Klimatologi Kelas I Palembang selaku mitra. Kegiatan ini bertujuan untuk berbagi pengetahuan mengenai alternatif alat pemantau kualitas udara kepada mitra. Fitur yang ditawarkan diantaranya kemampuan membaca kualitas udara dari lima parameter yaitu: kandungan karbon dioksida, karbon monoksida, methane, partikulat serta kelembapan udara. Dari kegiatan pengabdian ini dapat diketahui bahwa mitra telah memahami cara kerja alat ini. Selain itu tim pengabdi juga mendapatkan berbagai masukan dari mitra untuk pengembangan alat ini. Dengan biaya pembuatan alat yang relatif murah diharapkan alat ini dapat digunakan oleh mitra sebagai alternatif penyajian informasi kualitas udara kepada masyarakat.
Inovasi AI: Sosialiasi Robot Personal Assistant untuk Digitalisasi KIR 03 Lindawati Lindawati; Irma Salamah; Michelle Valerie; RD Kusumanto
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol 6, No 4 (2023): Oktober 2023
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v6i4.2600

Abstract

Penerapan teknologi kecerdasan buatan (AI) terus mengalami kemajuan pesat dan memiliki potensi yang luar biasa dalam mendukung transformasi digital di berbagai sektor. Dalam rangka pengembangan ekstrakurikuler di KIR 03, dilaksanakan sosialisasi inovasi AI dengan memanfaatkan robot personal assistant guna mendorong digitalisasi. Tujuan utama dari kegiatan pengabdian ini adalah untuk meningkatkan pemahaman peserta mengenai manfaat dan potensi penggunaan teknologi AI dalam konteks kegiatan ekstrakurikuler. Pendekatan yang digunakan meliputi penyampaian materi presentasi yang mendalam, interaksi tanya jawab yang aktif, serta dokumentasi kegiatan secara komprehensif. Hasil analisis data dari kuesioner menunjukkan peningkatan signifikan dalam pemahaman peserta setelah dilakukan sosialisasi. Respon positif peserta terhadap manfaat dan kemudahan penggunaan robot personal assistant menggambarkan kesuksesan sosialisasi ini. Sosialisasi ini memberikan implikasi potensial yang kuat dalam mendukung digitalisasi di KIR 03 dan berkontribusi bagi masyarakat pada umumnya.
Sosialisasi Sistem Monitoring Kualitas Udara Menggunakan Komunikasi Multi-Hop di BMKG Stasiun Klimatologi Kelas I Palembang Mohammad Fadhli; Asriyadi Asriyadi; Irma Salamah; Lindawati Lindawati
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 2 No. 1: Januari 2023
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v2i1.1314

Abstract

Kualitas udara yang dihirup sehari-hari harus menjadi perhatian untuk dapat mencegah berbagai penyakit akibat pencemaran udara. BMKG merupakan badan negara yang salah satu tugasnya adalah memberikan informasi mengenai kualitas udara kepada masyarakat. Pada saat ini informasi tersebut dapat diakses oleh masyarakat melalui website dan aplikasi Android BMKG. Untuk dapat menyajikan data kualitas udara, maka dibutuhkan sistem jaringan sensor yang mampu membaca kualitas udara dengan akurat. Pada kegiatan pengabdian ini telah disosialisasikan suatu alternatif sistem monitoring kualitas udara yang menggunakan komuniaksi multi-hop berbasis LoRa kepada pihak BMKG Balai Klimatologi Kelas I Palembang selaku mitra. Kegiatan ini bertujuan untuk berbagi pengetahuan mengenai alternatif alat pemantau kualitas udara kepada mitra. Fitur yang ditawarkan diantaranya kemampuan membaca kualitas udara dari lima parameter yaitu: kandungan karbon dioksida, karbon monoksida, methane, partikulat serta kelembapan udara. Dari kegiatan pengabdian ini dapat diketahui bahwa mitra telah memahami cara kerja alat ini. Selain itu tim pengabdi juga mendapatkan berbagai masukan dari mitra untuk pengembangan alat ini. Dengan biaya pembuatan alat yang relatif murah diharapkan alat ini dapat digunakan oleh mitra sebagai alternatif penyajian informasi kualitas udara kepada masyarakat.
Sosialisasi Sistem Monitoring Kualitas Udara Menggunakan Komunikasi Multi-Hop di BMKG Stasiun Klimatologi Kelas I Palembang Mohammad Fadhli; Asriyadi Asriyadi; Irma Salamah; Lindawati Lindawati
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 2 No. 1: Januari 2023
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v2i1.1314

Abstract

Kualitas udara yang dihirup sehari-hari harus menjadi perhatian untuk dapat mencegah berbagai penyakit akibat pencemaran udara. BMKG merupakan badan negara yang salah satu tugasnya adalah memberikan informasi mengenai kualitas udara kepada masyarakat. Pada saat ini informasi tersebut dapat diakses oleh masyarakat melalui website dan aplikasi Android BMKG. Untuk dapat menyajikan data kualitas udara, maka dibutuhkan sistem jaringan sensor yang mampu membaca kualitas udara dengan akurat. Pada kegiatan pengabdian ini telah disosialisasikan suatu alternatif sistem monitoring kualitas udara yang menggunakan komuniaksi multi-hop berbasis LoRa kepada pihak BMKG Balai Klimatologi Kelas I Palembang selaku mitra. Kegiatan ini bertujuan untuk berbagi pengetahuan mengenai alternatif alat pemantau kualitas udara kepada mitra. Fitur yang ditawarkan diantaranya kemampuan membaca kualitas udara dari lima parameter yaitu: kandungan karbon dioksida, karbon monoksida, methane, partikulat serta kelembapan udara. Dari kegiatan pengabdian ini dapat diketahui bahwa mitra telah memahami cara kerja alat ini. Selain itu tim pengabdi juga mendapatkan berbagai masukan dari mitra untuk pengembangan alat ini. Dengan biaya pembuatan alat yang relatif murah diharapkan alat ini dapat digunakan oleh mitra sebagai alternatif penyajian informasi kualitas udara kepada masyarakat.
Sistem Monitoring Automated Weather Observing System (AWOS) Berbasis Android Studi Kasus BMKG Sultan Mahmud Badaruddin II Palembang Wynda Anggraeni Iskandar; Lindawati Lindawati; Mohammad Fadhli
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 11 No 02 (2021): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v11i02.595

Abstract

Weather is a condition of the air in a place in a short time taken from the results of measurements of weather parameters. In survival, weather conditions play a very important role in all activities. One of the activities that are highly dependent on weather conditions is aviation activities. So in this paper, a monitoring system is designed to monitor the measurement results from the Automated Weather Observing System (AWOS) or an automatic weather monitoring tool used to monitor the current weather intended for flights at Sultan Mahmud Badaruddin II Airport Palembang. In this study, the Automated Weather Observing System (AWOS) Monitoring System will be made an android-based website (mobile web) so that it is possible for users to access it anytime and anywhere. The design of this monitoring system uses the SDLC (System Development Life Cycle) method, which is an android-based web development system that adds or changes some of the existing systems. This mobile web will display measurement results from the Automated Weather Observing System (AWOS) and is designed to make it easier for BMKG observers to observe the current weather, whether it is stable or experiencing drastic weather changes. If the graph displayed in this application undergoes a significant change, this application will send a notification to e-mail regarding the current weather conditions.
Implementation of Ethereum-Based Blockchain Technology for ADS-B Data Security and Validation Kgs Muhammad Farhan Rabbaniansyah; Lindawati Lindawati; Sopian Soim
ITEJ (Information Technology Engineering Journals) Vol. 11 No. 1 (2026): In Progress
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v11i1.271

Abstract

Automatic Dependent Surveillance–Broadcast (ADS-B) has significantly enhanced air traffic monitoring by enabling real-time broadcasting of aircraft positions and identifiers. However, its lack of cryptographic safeguards makes it inherently vulnerable to spoofing, replay, and tampering attacks. This study presents a blockchain-based ADS-B validation framework that leverages Ethereum smart contracts and MetaMask for secure, decentralized data authentication. The proposed system validates incoming flight messages by enforcing logical constraints on altitude changes, timestamp order, and geographic displacement using Solidity-coded rules. Each data transaction is subject to a dual-layer security model: automated detection by the smart contract and manual authorization via MetaMask. This ensures that even flagged anomalies cannot be committed without human approval, thus combining operational oversight with blockchain's immutability. The system was tested using flight data from the OpenSky Network, with 56 attack simulations performed across spoofing, replay, and tampering categories. The contract achieved a 92.9% detection rate, with all accepted anomalies intentionally approved to test forensic transparency. Ethereum’s transparent ledger preserved all transaction details, reinforcing its potential for regulatory compliance and incident investigation. The results affirm blockchain’s suitability in protecting aviation telemetry against unauthorized modifications. Future enhancements may include machine learning for anomaly detection, stricter timestamp controls, and integration with global aircraft registries to improve spoofing detection. This implementation bridges theoretical blockchain benefits with operational air traffic requirements.
Smart Dispenser Using Voice Recognition as an Assistive Device for the Visually Impaired with a Second-Order IIR Filter Algorithm Fifteen Angelina; Aryanti Aryanti; Lindawati Lindawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9825

Abstract

This research developed a Smart Dispenser with Voice Recognition technology as a tool to help the visually impaired in taking drinking water. The system is designed using a Voice Recognition sensor, an ISD 1820 sensor, and a microcontroller to enable the operation of the dispenser via voice commands. The test was carried out to analyze the performance of the system in recognizing voice commands and removing water. The results showed a voice detection accuracy rate of 28%, with factors such as environmental noise and sound intonation affecting the effectiveness of the system. The study also identified several areas of improvement, including the use of a DC water pump to increase the flow rate, the addition of an automatic feature to stop the flow of water when a glass is taken, and the use of a DC fan to maintain the sensor's optimal temperature. Further development is needed to improve the accuracy and efficiency of the system so that it can more effectively help the visually impaired in daily life.
Naive Bayes Algorithm and TF-IDF for Detecting Plagiarism in Journal Articles Ladysa Azzahrah; Lindawati Lindawati; Sholihin Sholihin
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study examines the implementation of a combination of Naïve Bayes, TF-IDF, and cosine similarity algorithms in detecting plagiarism in journal articles. Technological advances have increased the risk of plagiarism, which poses a serious threat to the integrity of science. The purpose of this study is to explain in detail the implementation of the algorithm to detect plagiarism, as well as measure the effectiveness of its combination. The method used involves the development of a Python-based system that is implemented through a website. The dataset consists of one hundred abstracts of Indonesian-language journal articles on the Internet of Things (IoT) taken from Mendeley software. The plagiarism limit is set at a maximum threshold of 20%. Implementation is carried out through data preprocessing stages, extraction of text features using a combination of Naïve Bayes and TF-IDF, and measurement of similarity with cosine similarity. The results show that this combination of algorithms has proven to be effective in detecting plagiarism rates in journal article abstracts, providing high accuracy in measuring text similarity. The developed system is able to better extract text features through the combination of Naïve Bayes and TF-IDF, and accurately measure the similarity of text in various test scenarios. This research contributes to the development of fast and accurate plagiarism detection technology, especially in fields that require complex text analysis.
Designing a Smart Reminder System for Monitoring Tuberculosis Patient Medication Adherence Using the Support Vector Machine (SVM) Method Putri Annisa Fadli; Lindawati Lindawati; Sholihin Sholihin
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 2 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2026 (In Press)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tuberculosis (TB) remains a major public health challenge that requires continuous monitoring of patient medication adherence to ensure treatment success. However, conventional monitoring methods often rely on manual supervision, making it difficult for healthcare workers to track patient adherence effectively. This study aims to develop a mobile-based smart reminder system for monitoring tuberculosis medication adherence at Puskesmas Ariodillah and to classify patient adherence levels using the Support Vector Machine (SVM) algorithm. The experimental results show that the dataset consists of 503 records categorized as recovered patients and 397 records categorized as patients continuing medication. The SVM model achieved an average cross-validation accuracy of 69.03%. Furthermore, kernel comparison results indicate that the Radial Basis Function (RBF) kernel produces the lowest error rate compared to linear, polynomial, and sigmoid kernels, demonstrating better classification performance. The developed smart reminder system successfully supports tuberculosis medication monitoring and provides useful information regarding patient adherence. These findings indicate that integrating mobile health technology with machine learning can improve adherence monitoring and assist healthcare workers in identifying patients who require additional attention during treatment.
Co-Authors Ade Silvia Handayani Aryanti Aryanti Asriyadi Asriyadi Dinda Amaniska Elmerillia, Elmerillia Fifteen Angelina Fitri Ariska Gita Affrylia Hermika Yuliana Sitompul Husni, Nyayu Latifah Irawan Hadi Irma Salamah Irma Salamah Irma Salamah Kgs Muhammad Farhan Rabbaniansyah Ladysa Azzahrah Martinus Mujur Ros Michelle Valerie Mohammad Fadhli Muhammad Fadhli Musyuniarsih, Sherly Saprilita Nur Hasana Putri Andela Putri Annisa Fadli R.A. Halimatussa’diyah Raden Kusumanto Raden Kusumanto RD Kusumanto RD Kusumanto Salamah, Irma Sarjana, Sarjana Sholihin Sholihin Sopian Soim, Sopian suzan zefi Tarmidi Tarmidi UTAMI, FUTRI Wynda Anggraeni Iskandar Wynda Anggraeni Iskandar