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All Journal JTEV (Jurnal Teknik Elektro dan Vokasional Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Prosiding Semnastek JUITA : Jurnal Informatika Annual Research Seminar SMATIKA JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics PROtek : Jurnal Ilmiah Teknik Elektro JETT (Jurnal Elektro dan Telekomunikasi Terapan) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Teknik Komputer AMIK BSI AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA Martabe : Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Sains dan Teknologi Terapan Jurnal Kreativitas PKM Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) RANDANG TANA - Jurnal Pengabdian Masyarakat bit-Tech Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal Teknologi Elekterika Journal of Research in Business, Economics, and Education Infotek : Jurnal Informatika dan Teknologi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Digit : Digital of Information Technology Journal of Technology and Informatics (JoTI) Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Minfo Polgan (JMP) Aptekmas : Jurnal Pengabdian Kepada Masyarakat Joong-Ki : Jurnal Pengabdian Masyarakat Sisfo: Jurnal Ilmiah Sistem Informasi Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Logic : Jurnal Rancang Bangun Dan Teknologi Joong-Ki Jurnal Teknik Elektro dan Komputer semanTIK Joong-Ki Smatika Jurnal : STIKI Informatika Jurnal ITEJ (Information Technology Engineering Journals)
Irma Salamah
Politeknik Negeri Sriwijaya
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IoT-Based Alcohol Presence Detection in Soy Sauce Using MQ-3 and ESP32 Narita Tria Almirah; Ahmad Taqwa; Irma Salamah
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2811

Abstract

Ethanol is a compound that naturally forms during the fermentation process of products such as soy sauce, raising concerns about their halal status for Muslim consumers. This research develops an alcohol detection system based on the Internet of Things (IoT) that integrates an MQ-3 sensor, ESP32 microcontroller, and the Blynk mobile application. The MQ-3 sensor detects ethanol vapor, and the ESP32 processes the sensor data and transmits it via Wi-Fi, enabling real-time monitoring through both a 16x2 LCD display and the Blynk app. The system’s calibration process involves standard ethanol solutions with concentrations ranging from 0% to 10%. The sensor output is converted from analog-to-digital (ADC) values to voltage, parts per million (ppm), and percentage estimates. A regression analysis of the sensor data yielded the equation y = 684.59x + 3198.9, with an R2 value of 0.7288, indicating a moderate correlation between ethanol concentration and sensor readings. Using solutions with ethanol concentrations of 1% and 3%, a detection threshold of 5300 ppm was established. Testing on commercial soy sauce samples (0% and 3.08% ethanol) confirmed the system's ability to distinguish between products with and without detectable ethanol, validating its effectiveness. While not designed for precise quantitative analysis, this system offers a practical, economical, and portable solution for initial screening of alcohol in fermented food products, making it a valuable tool for halal product monitoring.
IoT-Based Cooking Oil Quality Monitoring System Using Thresholding Method on Android Application Nida Dhia Ulhaq; Irma Salamah; Suroso Suroso
ITEJ (Information Technology Engineering Journals) Vol. 10 No. 1 (2025): June
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.v10i1.233

Abstract

Repeated use of cooking oil can reduce its quality and have a negative impact on health, but these changes are difficult to recognize with the naked eye. This research aims to develop an Internet of Things (IoT)-based cooking oil quality monitoring system with a thresholding method connected to an Android application. The system is equipped with a TCS3200 sensor to detect color, an LDR sensor to measure clarity, and a pH sensor to monitor oil acidity. The readings from the three sensors are used to classify the oil quality into three categories : good, medium, and unfit. The final classification is determined using unified decision logic based on the majority values from the sensors. Tests were conducted on six oil samples with a reading frequency of 60 times per sample. Data was sent in real-time to firebase and displayed through an android app. In addition, the system sent automatic notifications via telegram for remote monitoring. The results show that one-time use oil is classified as good, 2 to 4 times use is moderate, and 5 times use is categorized as unfit for consumption. The system offers a practical and efficient solution for digital and real-time monitoring of oil quality.
Implementasi Sistem Parkir Cerdas Berbasis IoT dan QR Code dengan OCR untuk Segmentasi Plat Nomor Kendaraan Muhammad Dio Alfajri; Suroso; Irma Salamah
SemanTIK : Teknik Informasi Vol. 11 No. 2 (2025): SemanTIK : Teknik Informasi
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v11i2.202

Abstract

Fokus penelitian ini adalah membuat sistem parkir cerdas otomatis (IoT) yang menggunakan teknologi QR Code dan kecerdasan buatan (AI) untuk mengidentifikasi kendaraan dengan lebih cepat dan akurat. Meningkatnya jumlah kendaraan di kawasan perkotaan menyebabkan permasalahan parkir yang semakin kompleks, terutama pada sistem konvensional yang masih bergantung pada pencatatan manual. Kondisi ini menimbulkan antrean panjang, kesalahan pendataan, dan rendahnya efisiensi pengelolaan. Oleh karena itu, dibutuhkan solusi parkir modern yang cerdas, cepat, dan akurat. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem parkir cerdas otomatis berbasis Internet of Things (IoT) dengan integrasi QR Code sebagai identifikasi kendaraan dan Optical Character Recognition (OCR) berbasis kecerdasan buatan untuk pengenalan plat nomor. Metode penelitian menggunakan pendekatan eksperimental, mencakup perancangan perangkat keras dan perangkat lunak, integrasi sensor barcode GM66, kamera untuk akuisisi citra, mikrokontroler ESP32 sebagai pusat kendali, serta motor servo TD8120MG sebagai aktuator portal parkir. Sistem juga dilengkapi dengan algoritma segmentasi citra untuk mengekstraksi karakter plat nomor dan integrasi Telegram API untuk notifikasi real-time kepada pengguna. Hasil implementasi menunjukkan bahwa sistem mampu meningkatkan efisiensi waktu tunggu kendaraan, dengan akurasi identifikasi rata-rata sebesar 90%. Integrasi teknologi IoT dan AI menjadikan sistem ini sebagai solusi inovatif yang layak diterapkan dalam pengelolaan parkir modern di berbagai fasilitas publik seperti kampus, perkantoran, dan pusat layanan umum.  The focus of this research is to create an automatic smart parking system (IoT) that uses QR Code technology and artificial intelligence (AI) to identify vehicles more quickly and accurately. The increasing number of vehicles in urban areas has led to increasingly complex parking problems, especially in conventional systems that still rely on manual recording. This situation causes long queues, data entry errors, and low management efficiency. Therefore, a modern parking solution that is smart, fast, and accurate is needed. This study aims to design and implement an Internet of Things (IoT)-based smart automatic parking system with QR Code integration for vehicle identification and artificial intelligence-based Optical Character Recognition (OCR) for license plate recognition. The research method uses an experimental approach, including hardware and software design, integration of GM66 barcode sensors, cameras for image acquisition, ESP32 microcontrollers as control centers, and TD8120MG servo motors as parking portal actuators The implementation results show that the system is capable of reducing vehicle waiting times, with an average identification accuracy of 90%. The integration of IoT and AI technologies makes this system an innovative solution that is suitable for use in modern parking management in various public facilities such as campuses, offices, and public service centers
Image Identification System for Beef and Pork Using a Convolutional Neural Network Nadiyah Salsabila Fauzi; Irma Salamah; Irawan Hadi
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

In the modern era, assurance of the halalness of meat products has become a fundamental need for Indonesian Muslims, as awareness and sensitivity towards the consumption of halal products increases. This has led to the development of innovative solutions to ensure the authenticity of beef and distinguish it from pork. This research presents an Android-based meat image identification tool that relies on the Convolutional Neural Network (CNN) algorithm to process and analyze images. The research includes hardware design, deep learning model with CNN algorithm, and Android application for real-time integration of detection results. This tool is equipped with an LCD screen and speaker to display identification results. The results show the accuracy of the CNN model reaches 99% in distinguishing beef and pork on the test dataset. In real-time testing of the tool using fresh beef and pork samples, the system achieved 92% accuracy, demonstrating good performance under practical conditions. The system provides a reliable and practical solution for consumers to verify the type of meat, while contributing to efforts to ensure the halalness of food products in society.
IMPLEMENTASI KONTROL PEMOTRETAN PHOTOBOOTH BERBASIS IoT MENGGUNAKAN DETEKSI SUARA DAN VALIDASI FRAME DENGAN METODE FUZZY: IMPLEMENTATION OF IOT-BASED PHOTOBOOTH SHOOTING CONTROL USING VOICE DETECTION AND FRAME VALIDATION WITH FUZZY METHOD Adithya Putra; Suroso; Irma Salamah
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8138

Abstract

The development of the Internet of Things (IoT) has encouraged the implementation of automation systems in various fields, including photobooth services. This study aims to design an automatic photo capture control system for Deebooth Photobooth by integrating a sound sensor, OpenCV, and the Fuzzy Mamdani method. An ESP32 microcontroller is used to acquire sound intensity data, while OpenCV with the Haar Cascade method is employed to detect human objects within the photo capture area. Sound intensity data and frame validation results are processed using Fuzzy Mamdani through fuzzification, inference, and defuzzification stages to generate photo capture decisions. The results show that the sound sensor can distinguish sound intensity levels under different environmental conditions, while OpenCV successfully detects human objects in real time. The implementation of Fuzzy Mamdani produces three output categories: No Capture, Standby, and Capture. The system performs automatic photo capture only when a human object is detected and the sound intensity satisfies the predefined fuzzy rules. The proposed system improves the flexibility and reliability of automatic photo capture in IoT-based photobooth applications.
Design of Automatic Organic Fertilizer Processing Tools by Utilizing the Internet of Things (IOT) as a Monitoring System Fadhila Desti Rahmaniar; Jon Endri; Irma Salamah
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26528

Abstract

This paper aims to design an automatic organic fertilizer processing tool by utilizing the Internet Of Things (IOT) as a monitoring system. The proposed tool system aims to make it easier to sort organic waste or inorganic waste which can then also automatically process organic waste into organic fertilizer. The method used is a literature survey conducted to solve relevant problems. At this stage, a data collection survey is carried out by utilizing previous research sources from books, journals, and the internet. We used this literature review to enable us to update the tool from previous research. The proposed system uses ESP 32 module as a microcontroller that can connect to WiFi. In addition, it has also been introduced in the Internet of Things (IOT) as an automatic monitoring system for organic fertilizer processing plants. Garbage download information is sent via the internet and returned to the Android application. However, in this study, one application, namely WhatsApp, was used. Garbage has long been a social problem, especially in big cities, polluting the environment, endangering public health, and reducing environmental aesthetics. Therefore, waste management is important to minimize the negative impact of waste. Finally, the research results obtained can be useful as technological development in the future of automatic organic waste processing equipment.
Cat Feeding Using Microcontroller Arduino Uno TCS3200 Sensor and Internet of Things Handava Wardana; Irma Salamah; Ahmad Taqwa
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26529

Abstract

Petting animals is one way for humans to reduce stress levels and entertain themselves. When coming home from work, a person needs entertainment at home, namely by keeping cute animals; one of the attractive and widely kept pets is a cat. The presence of cats in the house can help restore mood or feelings, and animals that like to be invited to play. For that, the owner must love his own pet without reducing affection for his pet; a cat's diet must be maintained even though the owner is busy working, especially outside the city, because cats need a good diet. Therefore, the purpose of doing this research is to facilitate cat owners in feeding while doing other activities outside the home. In addition, previous research still cannot feed the cat automatically but can monitor the state of cat activity. This tool uses several sensors, namely the RTCDS3231 sensor, TCS3200, Load Cell, HX711, ESP32CAM. The results obtained are Cat Feeding Using Arduino Uno Microcontroller TCS3200 Sensor, and Internet of Things is a tool system that can notify that the feed has run out, can feed the cat automatically, and can find out the activity of the cat by using the sensor. Several pet shop parties strongly agree that this tool is very helpful, namely to reduce the worry of the owner in feeding the cat. 
Evaluasi Fungsionalitas Sistem Informasi Kerja Sama Politeknik Negeri Sriwijaya Menggunakan Black Box Testing Della Oktaviany; Yunita Fauzia Achmad; Irma Salamah; Yeni Febriana; M Afiyah Tatumadha; M Ainul Chakra
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.35292

Abstract

Collaboration management in higher education institutions requires an information system capable of supporting administrative processes, documentation, monitoring, and reporting in an integrated manner. Politeknik Negeri Sriwijaya’s Collaboration Information System was developed to manage proposal submission, verification, approval, document management, collaboration activity recording, and report preparation. This study aims to evaluate the system’s functionality using the Black Box Testing method by assessing the conformity between inputs and outputs without examining the program’s internal structure. Testing was conducted through 10 scenarios covering user login, collaboration proposal submission, verification, data revision, proposal approval and rejection, document uploading, activity input, monitoring, and reporting. Each scenario was evaluated by comparing the system’s actual output with the expected result. The results showed that all test scenarios produced outputs consistent with the expected results, achieving a success rate of 100%. These findings indicate that the system meets its primary functional requirements and is feasible for supporting more structured, centralized, documented, and integrated collaboration management at Politeknik Negeri Sriwijaya.
Implementasi Sistem Keamanan Brankas Berbasis Face Recognition Menggunakan Algoritma YOLO dengan Verifikasi Fingerprint Amanda Tsabita Putri Tata; Irma Salamah; Martinus Mujur Rose
Journal of Technology and Informatics (JoTI) Vol. 7 No. 2 (2025): Vol. 7 N. 2 (2025)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v7i2.1072

Abstract

Current technological developments make security crucial in protecting important documents. Safes are commonly used for storage but remain vulnerable to burglary despite conventional locks. Based on data from the Central Bureau of Statistics (BPS) in 2023, aggravated theft was the most frequent crime with 62,872 reported cases. This highlights the need to improve safe security by adding biometric techniques such as face recognition and fingerprint verification. This study proposes a layered security system combining face recognition using the YOLO algorithm and fingerprint sensors. The system uses an ESP32-CAM to capture facial images and an ESP32 microcontroller to control a solenoid lock, fingerprint sensor and buzzer alarm. Face recognition testing on two users showed, the trained YOLO model achieved an accuracy of 83.33%, precision of 83,33% and recall of 100%.  from 12 trials, with two failures due to poor lighting conditions. Fingerprint testing on 10 samples, five fingers from each of two users, showed successful recognition of all fingerprints with an average response time of 1.41 seconds. The integration of face and fingerprint biometrics significantly enhances safe security and minimizes unauthorized access risks.
PENYULUHAN AYO, TETAP WASPADA COVID-19 PADA ANAK-ANAK DI SEKITAR PASAR 14 ILIR PALEMBANG Irma Salamah; RD Kusumanto; Meli Gustina; City Ardhela Alisya; Jullia Fatriana Putri
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 4 No. 3 (2021): Jurnal Pengabdian Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

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

Abstract

Pemahaman yang baik mengenai Covid-19 sangat diperlukan bagi anak-anak, apalagi pada saat ini kasus Covid-19 pada anak-anak di Indonesia merupakan yang tertinggi di Asia Afrika. Hal tersebut menunjukkan bahwa sangat diperlukan untuk memberikan pemahaman yang baik dan benar kepada anak-anak disekitar kita mengenai pendemi covid-19 ini. Dalam hal ini salah satu upaya yang dilakukan untuk memberikan pemahaman mengenai Covid-19 pada anak-anak adalah dengan cara melakukan penyuluhan tetap waspada Covid-19 di daerah 14 ilir, Palembang. Lokasi tempat tinggal yang berdekatan dengan pasar kentut 14 Ilir, menjadi salah satu permasalahan, dikarenakan warga disekitar yang begitu rentan bertemu dengan orang banyak dan tentunya akan memperbesar kemungkinan penularan Covid-19.  Cukup banyaknya anak-anak yang masih bermain diluar rumah juga menjadi permasalahan di lokasi ini. Kegiatan Penyuluhan ini dilaksanakan melalui beberapa tahapan, yaitu tahap persiapan, tahap pelaksanaan, dan tahap evaluasi. Dari hasil penyuluhan yang dilakukan, ternyata masih banyak anak yang belum mengetahui dengan baik mengenai Covid-19, rata-rata mereka hanya mengetahui bahwa protokol kesehatan yang harus dilakukan selama pandemi Covid-19 hanya dengan memakai masker dan mencuci tangan. Melalui kegiatan pengabdian ini, diharapkan dapat membantu mereka untuk mendapatkan pemahaman yang baik mengenai Covid-19 dan dapat membiasakan diri menerapkan protokol kesehatan secara langsung dengan gerakan 3M untuk mencegah penyebaran covid-19.Kata Kunci: Anak-anak, Covid-19, Penyuluhan
Co-Authors A Rahman Abdul Rakhman Adithya Putra Agnes Manik Ahmad Taqwa Ahmad Taqwa Ali Nurdin Amanda Tsabita Putri Tata Anisah Meidella Aryanti Aryanti Asriyadi Asriyadi Ciksadan Ciksadan City Ardhela Alisya Della Oktaviany Desi Riama Manalu Dita Azzahra Dita Azzahra EKA SUSANTI Elmerillia Elmerillia Endri, Jon Fadhila Desti Rahmaniar Fahreza Fina Triana Handava Wardana Hermika Yuliana Sitompul Hj Lindawati Hj. Lindawati Indah Putri Lestari Irawan Hadi Jullia Fatriana Putri Juriawan Raja Saputra kurnia syafitri Lindawati Lindawati Lindawati M Afiyah Tatumadha M Ainul Chakra M Permadi Yosa Nugraha M. Aris Ganiardi M. Redho Ali Said M.Munaza Fathsyah Martinus Mujur Rose Meli Gustina Michelle Valerie Mohammad Fadhli Muhammad Aris Ganiardi Muhammad Dio Alfajri Muhammad Fadhli Muhammad Munaza Fathsyah Muhammad Zaid Akbar Nadia Oktavia Nadiyah Salsabila Fauzi Narita Tria Almirah Nasron Nasron Nida Dhia Ulhaq R.D.Kusumanto Raden Kusumanto Rani Tasya Samosir RD Kusumanto RD Kusumanto Rizky Tapera Rudy Mustaqim Shinta Damayanti Shinta Sulistiya Ningrum Shohibulloh Bayu Anistiawan Sholihin Sholihin Suroso Suroso Suroso Suroso Suroso Suzanzefi Suzanzefi Tiara Putri Amanda Tri Rizkiah Wahyudi Rahman Yeni Febriana Yunita Fauzia Achmad