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All Journal ELKHA : Jurnal Teknik Elektro Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Journal of Economics, Business, & Accountancy Ventura Prosiding SNATIF Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Terapan Abdimas PROtek : Jurnal Ilmiah Teknik Elektro ITEj (Information Technology Engineering Journals) Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika INVOTEK: Jurnal Inovasi Vokasional dan Teknologi AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA IT JOURNAL RESEARCH AND DEVELOPMENT Indonesian Journal of Artificial Intelligence and Data Mining INOVTEK Polbeng - Seri Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) Prosiding Seminar Nasional Sains dan Teknologi Terapan Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal RESISTOR (Rekayasa Sistem Komputer) Patria Artha Technological Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science bit-Tech Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Pengabdian Masyarakat Bumi Raflesia Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Technology and Informatics (JoTI) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Irma Salamah
Politeknik Negeri Sriwijaya
Aerospace Engineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Transportation Other

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Sistem Keamanan Pintu dan Jendela Rumah Berbasih IoT Kurniasih, Wahyuni; Rakhman, Abdul; Salamah, Irma
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 5, No 2 (2020): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v5i2.212

Abstract

The house is the most valuable asset, therefore security at home is also very important. Therefore a home security system is created that combines a microcontroller with an Android smartphone application. The microcontroller used is the Raspberry Pi which is equipped with a camera as a home security monitoring system and various sensors as detectors such as magnetic, PIR sensors and solenoids as automatic door locks. So if the sensors that are installed detect something at home, then the homeowner will immediately get a notification sent by the database to the smartphone application, and the homeowner can monitor the state of the house right then through photos and videos recorded by cameras that have been installed at home.
RANCANG BANGUN ALAT CERDAS PENCUCI DAN PENGERING SEPATU OTOMATIS DENGAN MENGGUNAKAN METODE FUZZY SUGENO Ciksadan, Ciksadan; Damayanti, Shinta; Salamah, Irma
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6237

Abstract

Tujuan dari penelitian ini adalah merancang alat untuk mencuci dan mengeringkan sepatu secara otomatis tanpa memerlukan tenaga manusia. sebuah solusi praktis untuk menjaga kebersihan dan perawatan sepatu, terutama bagi pemilik jasa laundry yang sering menghadapi masalah cuaca yang tidak menentu. Proses pengeringan dilakukan menggunakan sensor DS18B20 yang berfungsi untuk mengukur tingkat kekeringan sepatu, memastikan sepatu kering sempurna sebelum digunakan. Alat ini terdiri dari berbagai komponen penting seperti sensor suhu DS18B20, rangkaian power supply, relay, motor driver, ubec dan Arduino Mega yang bekerja bersama untuk memastikan fungsi pencucian dan pengeringan berjalan dengan baik dan efisien. Metode Fuzzy Sugeno digunakan untuk mengatur sistem otomatisasi alat ini, memungkinkan penyesuaian yang lebih akurat dan responsif terhadap kondisi aktual sepatu. Inovasi ini tidak hanya membantu dalam menjaga kebersihan sepatu tetapi juga memberikan kenyamanan dan efisiensi bagi pengguna. Alat ini diharapkan dapat menjadi solusi yang efektif untuk mengatasi tantangan yang ditimbulkan oleh kondisi cuaca yang tidak menentu, yang seringkali menghambat proses mencuci dan mengeringkan sepatu secara manual. Dengan menggunakan teknologi ini, diharapkan dapat memberikan manfaat signifikan bagi masyarakat dalam kehidupan sehari-hari.
IoT-Based Cooking Oil Quality Monitoring System Using Thresholding Method on Android Application Ulhaq, Nida Dhia; Salamah, Irma; 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.
Application of Polynomial Regression Method in Non-invasive Measurement of Blood Sugar, Cholesterol, and Non-invasive Uric Acid Based on IoT Rahmadaniar, Desi; Salamah, Irma; Rose, Martinus Mujur
invotek Vol 24 No 3 (2024): INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/invotek.v24i3.1264

Abstract

Early disease avoidance depends much on health monitoring. However, the general examination methods still used today are invasive, namely, using a syringe to take blood samples. Many do not undergo routine examinations because this method is uncomfortable and expensive. In this study, the MAX30105 optical sensor is used as a non-invasive measuring device that can read the reflection of infrared light from the fingertip. After that, the second-order polynomial regression method is used to process the sensor data and determine the blood sugar, cholesterol, and uric acid levels. Using calibration data, this tool will change the reflected light signal into numbers for these three substances. The quantitative experimental method was conducted on 15 participants, The quantitative experimental method was carried out on 15 participants, the test results showed that blood sugar levels reached 91.50%, cholesterol levels reached 86.07%, and uric acid levels reached 89.33%. Real-time data transmission is carried out through the Adafruit IO platform, which was chosen for its accessibility and ease of integration. At the same time, a mobile application was developed using MIT App Inventor for user-friendly health data visualization. A preliminary Quality of Service (QoS) assessment showed an average data latency of 500–700 ms and a 97% transmission success rate via Wi-Fi. These results indicate that this device is reasonably practical and comfortable. However, several factors, such as skin thickness, finger position, and skin cleanliness, can affect the accuracy of the measurement results. Therefore, this tool cannot yet replace regular medical standards.
Implementation of an IoT-based Threshold Method for a Food Hazardous Substance Detection Tool Malinda, Threa; Salamah, Irma; Anugraha, Nurhajar
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 3 (2025): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i3.2397

Abstract

Food safety is a critical issue that has a direct impact on public health. Illegal addition of hazardous substances such as rhodamine B, melachite green, methanyl yellow, formalin, borax, and sodium hypochlorite are still commonly found in food products sold in the market. This research project aims to develop a tool for detecting hazardous substances in Internet of Things (IoT) based foods using a threshold method that refers to BPOM regulations. The threshold method refers to BPOM regulations. This system integrates two sensors: The TCS3200 sensor is used for RGB color analysis, and the HCHO sensor detects volatile compounds detecting volatile compounds. Test results show that this tool achieves 96.67% accuracy in identifying hazardous substances without producing false positives. The novelty of this research lies in combining both sensors into one system with real-time notification via Telegram. This research is novel because it combines both sensors into one system with real-time notifications via Telegram. It combines both sensors into a single system with real-time notifications via Telegram and ThingSpeak.
Wearable IoT Device for Real-Time Heart Rate and Body Temperature Monitoring Rafiif, Muhammad; Taqwa, Ahmad; Salamah, Irma
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 2 (2025): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i2.3076

Abstract

Heart disease remains one of the primary causes of death worldwide, largely due to sedentary lifestyles and the lack of continuous health monitoring. Many existing wearable health systems fail to provide real-time alerts or offer seamless integration between hardware, cloud platforms, and user interfaces. This study proposes a fully integrated Internet of Things (IoT)-based wearable device for real-time monitoring of heart rate and body temperature. The system utilizes an ESP32 microcontroller combined with MAX30102 and DS18B20 sensors and transmits physiological data via Wi-Fi to the Adafruit IO cloud platform using the MQTT protocol. A custom Android application developed using a low-code environment provides real-time visualization and alert notifications when user-defined thresholds are exceeded. Comparative testing against standard medical devices showed an average error of 1.99% for heart rate and 2.32% for body temperature, demonstrating reliable performance for non-clinical, preventive health monitoring. Unlike previous works, this system offers end-to-end integration, enabling real-time feedback, continuous data access, and user-friendly interaction. Future developments will focus on improving sensor calibration, enhancing ergonomic design, and incorporating advanced features such as historical data tracking and AI-based health alerts.
Peningkatan Kemampuan Guru-Guru SD Negeri 130 Palembang Dalam Menyajikan Presentasi Atraktif Melalui Pelatihan Microsoft Power Point Salamah, Irma; Lindawati, Lindawati; Asriyadi, Asriyadi; Kusumanto, RD
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2020): Februari
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v4i1.2197

Abstract

ABSTRAKPengembangan profesi guru adalah untuk menjaga dan meningkatkan kualitas guru agar semakin professional dalam melaksanakan tugasnya menggunakan media aplikasi Microsoft office power point. Ada beberapa faktor mengapa kegiatan ini diselenggarakan. Ada guru yang tidak terbiasa menggunakan teknologi sebagai media dalam pengajaran di kelas. Sekolah tidak menyediakan fasilitas yang memadai yang memungkinkan guru menciptakan media ajar mereka. Tidak adanya pembimbing dan pendampingan yang memberikan pendidikan singkat tentang bagaimana membuat media animasi untuk pengajaran di sekolah dasar. Dengan adanya pelatihan ini guru-guru SDN 130 Palembang diharapkan mampu menguasai dan memahami fitur dan fungsi yang ada pada Microsoft power point serta mampu membuat animasi untuk pembelajaran dengan menggunakan Microsoft power point.Kata kunci: animasi pembelajaran; pelatihan microsoft power point; presentasi atraktif. ABSTRACT Teacher professional development is to maintain and improve the quality of teachers to be more professional in carrying out their duties using Microsoft Office Power Point application media. There are several factors why this activity is held. There are teachers who are not used to using technology as a medium in classroom teaching. Schools do not provide adequate facilities that allow teachers to create their teaching media. The absence of mentors and mentors who provide short education about how to make animation media for teaching in elementary schools. With this training the SDN 130 Palembang teachers are expected to be able to master and understand the features and functions that exist in Microsoft power point and be able to create animations for learning using Microsoft power point.Keywords: attractif presentation; microsoft power point training; learning animation.
Internet of Things-Based Charity Box Security With Automatic Money Detection And Location Tracking Anggraini, Nur Septi; Salamah, Irma; Aryanti, Aryanti
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 2 (2025): July 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i2.37254

Abstract

This research designs and develops an Internet of Things (IoT)-based charity box security system aimed at improving transparency, security, and efficiency in the management of donation funds. The system integrates a TCS3200 color sensor to detect banknotes, a Neo-6M GPS module for real-time location tracking, and 4x4 keypad as PIN-based access security. The ESP32 microcontroller acts as the control center, and the Telegram Bot API is used to send notifications directly to the user when suspicious activity or device movement occurs. Additional features such as buzzers, speakers, and solenoid doorlocks function as warning systems and automatic locks to prevent unauthorized access. Test results show that all features work well, with a high success rate in money detection, accurate location tracking, and fast notification delivery. Despite limitations in the accuracy of detecting some banknotes due to the similarity of RGB values, the overall system proved to be reliable and has the potential to be implemented in public facilities or places of worship. Further developments could include integration with cloud storage, the addition of cameras for visual identification, and mobile applications for more interactive remote control and monitoring.
IoT-Based Alcohol Presence Detection in Soy Sauce Using MQ-3 and ESP32 Almirah, Narita Tria; Taqwa, Ahmad; Salamah, Irma
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.
Optimasi Kendali PID berbasis IoT pada Oven Listrik untuk Pengeringan Rempah yang Presisi Pratama, Bambang; Salamah, Irma; Lindawati, Lindawati
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30537

Abstract

Unstable spice drying can reduce active compound content by up to 30% and increase the risk of microbial contamination by up to 40%, while conventional temperature control does not ensure thermal stability. This study aims to develop an IoT-based drying system using a PID algorithm to maintain temperature stability and allow remote monitoring and control. The research followed the waterfall model, starting from needs analysis, hardware and software design, PID implementation using a trial-and-error approach, IoT application development with Kodular and Firebase, system integration, and full system performance testing. Key components include the DS18B20 temperature sensor, ESP32, heating element, and IoT platform. Software testing used the black box method, while hardware testing evaluated performance through overshoot, steady-state error, settling time, disturbance simulation, and comparison with the on-off control method. The resulting system automatically regulates temperature with a PID algorithm and enables real-time monitoring via mobile devices. Testing showed the PID system was more stable than the on-off method, with overshoot <4°C, steady-state error <1.5°C, settling time of ±750 seconds, and quick response to disturbances. The mobile application operated reliably without errors, enhancing the quality and precision of the spice drying process.
Co-Authors AA Sudharmawan, AA Abdul Rakhman Agnes Manik, Agnes Ahmad Jazuli Ahmad Taqwa Aliffiyah, Muhammad Bayu Alisya, City Ardhela Almirah, Narita Tria Anggielita, Renata Anggraini, Nur Septi Aryanti Aryanti Asriyadi Asriyadi Astari, Devina Bambang Pratama, Bambang Cendrakasih, Aminah Chairunnisa, Dita Ayu Ciksadan, Ciksadan Damayanti, Shinta Eka Susanti Elmerillia, Elmerillia Emilia Hesti Endri, Jon Fadhli, Mohammad Fauzi, Nadiyah Salsabila Gustina, Meli Handini, Wulan Tri Hj. Lindawati Humairoh, Sherina Irawan Hadi Irma Suryani Julianti, Amelia Kurniasih, Wahyuni Kusmanto, RD. Kusumanto, R.D Lindawati Lindawati M. Aris Ganiardi, M. Aris Malinda, Threa Martinus Mujur Rose Mujur Rose, Martinus Mursalin, Zaldy Gumilang Nasron Nasron Ningrum, Shinta Sulistiya Noviani, Fadiah Nurhajar Anugraha Nurmalasari, Aprilliya Oktavia, Nadia Primulia, Muhammad Filly Putri Nur Azizah, Putri Nur Putri, Jullia Fatriana R.A., Halimatussa’diyah Rafiif, Muhammad Rahmadaniar, Desi Rahman, Wahyudi Rahmaniar, Fadhila Desti Rahmika, Rahmika Rakhman, Abdul Halim RD Kusumanto Reza Umami, Reza Rosa, Adelia Rose, Mujur Saskia, Kevi Agis Shendy Pratama Sholihin Sholihin Soleh, M. Zikri Sopian Soim, Sopian Suroso Suroso suzan zefi syafitri, kurnia Syaniah, Yunita Tata, Amanda Tsabita Putri Thayyib, Ahmad Reza Ulhaq, Nida Dhia Valerie, Michelle Wardana, Handava Wibowo, Muhamad Arya Al Ghifari Wulandari, Alysiah