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All Journal ELKHA : Jurnal Teknik Elektro Prosiding SNATIF Jurnal Edukasi dan Penelitian Informatika (JEPIN) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Terapan Abdimas PROtek : Jurnal Ilmiah Teknik Elektro 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 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 Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Jurnal Pengabdian Masyarakat Bumi Raflesia Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) International Journal Of Science, Technology & Management (IJSTM) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Irma Salamah
Politeknik Negeri Sriwijaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Transportation Other

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Implementation of Fingerprint Biometrics on Smart Door Entrance Access Integrated with Internet of Things-based PINs Handini, Wulan Tri; Endri, Jon; Salamah, Irma
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 1 (2025): March 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i1.31738

Abstract

Security is something that must often be ignored by most people and think it is safe, but it turns out that someone can still lose their valuables. In this final project, we will design an Internet of Things (IoT)-based smart door access tool that uses a fingerprint and pin password using the Optical Scanner Sensor method. The purpose of making and designing a smart door tool based on the Internet of Things (IoT) is one of them to apply the optical method as a method used to recognize fingerprint biometric identification. By using a smartphone (android) as a controller using the NodeMCU contained in the ESP2866 WiFi module via an internet connection connected to an application made with MIT App Inventor. In the application of fingerprint sensors using the optical method, the scanning process is obtained through finger scanning based on the effect of light reflection that occurs on the optical sensor on the fingerprint.   So as to produce digital image retrieval on identified fingerprints. The communication that uses the fingerprint sensor and Arduino uno as a data processing unit uses serial data communication. When the command has run according to its function, the results of the data obtained enter in realtime at the data processing place.
Sistem Monitoring dan Kontrol Penyiraman Aeroponik Tanaman Selada berbasis IoT dengan Metode Fuzzy Sugeno Wibowo, Muhamad Arya Al Ghifari; Salamah, Irma; Aryanti, Aryanti
Jurnal Pendidikan Informatika (EDUMATIC) Vol 8 No 2 (2024): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v8i2.27098

Abstract

Dependence on optimal environmental conditions is a major challenge in aeroponic cultivation, as plant roots require regular watering to maintain moisture and nutrient absorption. This research aims to design an IoT-based aeroponic watering monitoring and control system using Sugeno fuzzy method, which can adaptively determine the duration of watering based on temperature, humidity, and light intensity sensors, and enable environmental monitoring via smartphone. This research is conducted using an experimental approach, implementing the Sugeno fuzzy inference method to generate a constant (linear) watering duration calculated based on a fuzzy rule base. The system development stages include hardware and software design, implementation of Sugeno fuzzy logic for the watering mechanism, integration of the device with an IoT platform, and testing the effectiveness of the system in maintaining optimal environmental parameters. The results showed that the developed monitoring and control system was able to produce watering duration output with an average difference to MATLAB simulation results of 0.048 milliseconds and an average error rate of 0.9%. The system is also effective in maintaining optimal humidity in the aeroponic environment, with an average humidity of 96.00% and an average temperature drop of 0.28°C every time the watering process takes place.
Deteksi Tingkat Kerentanan Keamanan Website dengan Metode Manual Pentest dan Tools Xspear Jazuli, Ahmad; Salamah, Irma; Soim, Sopian
Jurnal Pendidikan Informatika (EDUMATIC) Vol 8 No 2 (2024): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v8i2.27109

Abstract

Currently, the internet has evolved into a source of information across various fields and demographics, making it easily accessible to many people. SQL injection and XSS payloads are among the most common types. The objective of this research is to detect the level of vulnerability of security gaps found and provide recommendations to the host for mitigating those risks. This research is qualitative in nature, focused on detecting the security gap levels on the Hotel Embryo website. The study uses vulnerability evaluation and penetration testing methods, with a manual penetration testing approach targeting specific URLs and vulnerability scanning using the Xspear tool. The research stages begin with gathering information from relevant sources through case studies and literature reviews of scientific articles, software and tools installation, followed by the core phase, which involves exploitation through pentest techniques and documenting the analysis results of the vulnerabilities found. The research subject is the Hotel Embryo website, and the research object is the security vulnerabilities detected on the website. Our findings identified a parameter in the room menu of the Hotel Embryo website, where 10 vulnerabilities with a HIGH status were discovered, posing significant risks, particularly to important data such as administrative information, personal data, institutional details, and more, which could be hacked and misused by cyber attackers.
Pearl Catfish Pond Water Quality Monitoring System Using the ThingSpeak Server Saskia, Kevi Agis; Suroso, Suroso; Salamah, Irma
Jurnal Teknologi Informasi dan Pendidikan Vol. 17 No. 2 (2024): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v17i2.865

Abstract

The research is centered around the implementation of an IoT-based water quality monitoring system for Pearl catfish ponds. This system uses ThingSpeak server to monitor pH, turbidity, temperature, and ammonia levels to maintain ideal conditions for fish growth. Data is processed using fuzzy logic. The results are sent in real time to the ThingSpeak server for continuous monitoring. The overarching goal of this system is to optimize production efficiency and improve the quality of fish for catfish farmers. The research has successfully developed an Internet of Things (IoT)-based water quality monitoring system for catfish ponds, demonstrating the positive impact of probiotics on both water quality and fish growth. Notably, Fishpond A, which received probiotic treatment, demonstrated notably superior water quality in comparison to Pond B without probiotics. Additionally, fuzzy logic testing indicated a high degree of accuracy, underscoring the system's effectiveness in real-time water condition monitoring.
Palang Pintu Kereta Api Otomatis Berbasis Arduino Pratama, Shendy; Taqwa, Ahmad; Salamah, Irma
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (680.931 KB) | DOI: 10.30645/j-sakti.v3i2.137

Abstract

This automatic train doorstop is made by using two infrared sensors and the sensor's piezeotronic sensor will be controlled by Arduino, this sensor will be useful if it detects the arrival of a train, if the train has passed this sensor then automatically the doorstop will be closed, when the train passes one more sensor then the doorstop will open automatically. For information to the community that there will be a train passing, it must be equipped with a bazzer and other indicator lights. With this automatic doorstop, the level of accident at the railroad crossing will decrease.
Rancang Bangun Vending Machine Komponen Elektronika dengan Identifikasi RFID Berbasis IoT Soleh, M. Zikri; Salamah, Irma; Rakhman, Abdul
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.573

Abstract

Electronic components are objects that are supporting parts of an electronic circuit that can operate according to their application. Among them are PCB boards, resistors, transistors, and many more. In assembling a series of students, additional components are often needed which are caused by errors in assembling a circuit. An error in assembling causes a component to be damaged, because the electronic component given by the lecturer is only once. Based on the explanation above, a solution can be found in the form of the application of vending machines for electronic components that can be applied in certain places, such as in the Telecommunication Engineering lab of the Indonesian National Police.  Vending machine is a machine that can accommodate certain objects and can eject them automatically with a trigger programed by the designer, in this case electronic components are used as objects that will be removed from the box. With this tool aims to make it easier for students to get electronic components for free practically and not spend a lot of time, they can use Radio Frequency Identification (RFID) as a detection tool on the vending machine. This research uses RFID technology where, when the user wants to take one of the components of the vending machine, the user must have an RFID-based card that has been previously made so that it can proceed to the next stage, namely component retrieval.
Implementasi Algoritma Naive Bayes Terhadap Klasifikasi Jenis Pertanyaan Pada Perancangan Chatbot Untuk Aplikasi Penjualan Songket Rosa, Adelia; Salamah, Irma; Suroso, Suroso
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7908

Abstract

Rapid developments in science and technology have had a significant impact on all aspects of people's lives, especially in business. E-commerce has become a popular choice among internet users in Indonesia, including MSMEs. However, conventional sales of songket products still limit product reach and competitiveness. In addition, the sales process generally provides customer service in charge of interacting and serving customer inquiries that can be contacted via telephone number. However, it is considered less effective because the seller has difficulty when responding to various questions from customers, so customers have to wait to get answers regarding the information needed. Therefore, the purpose of this research is to design a chatbot for songket sales applications using the naive bayes algorithm in classifying the types of customer questions, to improve the efficiency and effectiveness of interactions between sellers and customers, and expand the market reach of songket products. This chatbot is designed to simulate interactive conversations and provide sales information to customers quickly and efficiently. The naive bayes algorithm was chosen due to its ease of implementation and high accuracy in text classification. In this study, the chatbot was tested with various types of user questions with 5% of the total 50 questions as testing data. The test results show that the chatbot can classify the type of question with an accuracy of 90% and a precision value of 94%, recall 92%, and F1-Score 92%. In addition, testing of the application system as a whole shows that the application and chatbot are able to provide appropriate and efficient responses to various user questions. With this system, it is hoped that a technology-based solution can be realized that can improve the sales process and customer interaction with sellers, and increase the business potential of traditional songket craftsmen. 
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.
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.
Co-Authors AA Sudharmawan, AA Abdillah, Depran Abdul Rakhman Agnes Manik, Agnes Ahmad Jazuli Ahmad Taqwa Aliffiyah, Muhammad Bayu Alisya, City Ardhela Anggielita, Renata Anggraini, Nur Septi Aryanti Aryanti Asriyadi Asriyadi Astari, Devina Bambang Pratama, Bambang Cendrakasih, Aminah Chairunnisa, Dita Ayu Ciksadan Eka Susanti Elmerillia, Elmerillia Emilia Hesti Endri, Jon Fadhli, Mohammad 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 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 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 Thayyib, Ahmad Reza Ulhaq, Nida Dhia Valerie, Michelle Wibowo, Muhamad Arya Al Ghifari Wulandari, Alysiah