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All Journal Dinamik Jurnal Pembangunan dan Alam Lestari ELINVO (Electronics, Informatics, and Vocational Education) CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Syntax Literate: Jurnal Ilmiah Indonesia Indonesian Journal of Artificial Intelligence and Data Mining Techne : Jurnal Ilmiah Elektroteknika TEKNOLOGI PANGAN : Media Informasi dan Komunikasi Ilmiah Teknologi Pertanian Jurnal Kreativitas PKM Jurnal Sistem Cerdas TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Buletin Ilmiah Sarjana Teknik Elektro Jambura Journal of Electrical and Electronics Engineering TIN: TERAPAN INFORMATIKA NUSANTARA Indonesian Journal of Cultural and Community Development Indonesian Journal of Law and Economics Review Journal of Computer Networks, Architecture and High Performance Computing Community Empowerment Journal of Electrical Engineering and Computer (JEECOM) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Indonesian Journal of Innovation Studies Jurnal Al Ulum: LPPM Universitas Al Washliyah Medan Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Journal of Applied Agricultural Science and Technology PELS (Procedia of Engineering and Life Science) Proceedings of The ICECRS Procedia of Social Sciences and Humanities Jurnal Keilmuan dan Keislaman International Journal Multidisciplinary Indonesian Journal Health Science and Medicine SNTE Academia Open Journal of Renewable Energy, Electronics and Control
Syahrorini, Syamsudduha
Program Studi Teknik Elektro, Fakultas Teknik, Universitas Muhammadiyah Sidoarjo
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Regression Model to Predict Production Rate Based on Market Demand in Medical Devices Manufacturing Company: Model Regresi Untuk Memprediksi Angka Produksi Berdasarkan Permintaan Pasar di Perusahaan Manufaktur Alat Kesehatan Mulyadi, Akmad; Annisa, Zhudiah; Syahrorini, Syamsudduha
Indonesian Journal of Innovation Studies Vol. 26 No. 1 (2025): January
Publisher : Universitas Muhammadiyah Sidoarjo

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

Abstract

This study aims to explore the use of regression models in predicting production figures at PT. Manufaktur Alkes Rumah Sakit, a company engaged in the manufacturing of medical devices, based on market demand. The purpose of this study is to understand the relationship between demand and production and to develop an accurate regression model. The results of the analysis show that every one unit increase in market demand can increase the average production figure by 0.803 units. This finding is expected to help management in planning production more effectively and responsively to market dynamics. In addition, this study recommends that further analysis be carried out by considering other variables to improve prediction accuracy.
Sistem Pengaman Pintu Brankas Menggunakan Kartu RFID Dan Password Berbasis Arduino A, M Azrul; Jamaaluddin, Jamaaluddin; Syamsudduha Syahrorini; Dwi Hadidijaja
Seminar Nasional Teknik Elektro Vol. 4 No. 1 (2025): SNTE III
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/snte.25.106

Abstract

Absrak -         
Sistem Prediksi Efisiensi Konsumsi Listrik Konsumsi Listrik Rumah Tangga dengan Fuzzy Logic Wicaksono, Arief Tri; Syahrorini, Syamsudduha; Anshory, Izza; Jamaaluddin, Jamaaluddin
TIN: Terapan Informatika Nusantara Vol 6 No 6 (2025): November 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i6.8593

Abstract

The increase in household electricity consumption in Indonesia poses a major challenge to efficient and sustainable energy management. This research aims to develop a household electricity consumption status prediction system based on Mamdani fuzzy logic using the Python programming language. The system was designed to classify electricity usage into “efficient” or “inefficient” categories based on three main input variables: electrical power, usage duration, and number of electronic devices. The design process included fuzzification, rule base construction, Mamdani inference, and defuzzification, with the final results integrated into Google Sheets. System validation was performed by comparing 55 predicted results to actual labeled data. Performance evaluation using confusion matrix analysis showed an overall accuracy of 80% (44 out of 55 data) and a Mean Squared Error (MSE) value of 0.20. The main advantage of this model is its perfect sensitivity (recall) (100%) in detecting inefficient classes, as evidenced by a False Negative (FN) value of 0. The system successfully identified all 39 actual inefficient cases, although there were 11 efficiency cases that were classified as inefficient (False Positive). This research contributes to providing a precise digital tool that can increase public awareness of energy efficiency and support the control of household electricity consumption.
IoT Monitoring System for Ornamental Fish Water Quality Control: Sistem Pemantauan IoT untuk Pengendalian Kualitas Air Ikan Hias Muhammad Firhand Setiaky; Shazana Dhiya Ayuni; Dwi Hadidjaja Rasjid Saputra; Syamsudduha Syahrorini
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2057

Abstract

General Background Ornamental fish cultivation requires consistent environmental control to maintain optimal health and productivity. Specific Background Key parameters such as temperature, total dissolved solids, and water flow significantly determine the success of fish grooming processes. Knowledge Gap Manual monitoring is often inconsistent due to user limitations, leading to suboptimal environmental conditions and reduced fish quality. Aims This study aims to design and implement an Internet of Things-based monitoring system to observe water quality and automate feeding processes in real time. Results The system integrates ESP8266, temperature sensors, TDS sensors, and water flow sensors, transmitting data to a spreadsheet platform. Experimental results show stable temperature at 31°C and TDS at 158 ppm, while water flow varies depending on filter conditions and pump capacity. Novelty The integration of real-time monitoring with automated feeding and filtration analysis provides a practical solution for continuous fish care. Implications This system supports efficient water quality management, reduces manual workload, and enables data-driven decision-making for improving ornamental fish cultivation outcomes. Keywords: IoT Monitoring, Water Quality, Ornamental Fish, ESP8266, Sensor System Key Findings Highlights Real-time sensing ensures stable aquatic conditions across multiple parameters Automated feeding mechanism operates accurately using time-based control Filtration performance can be evaluated through flow rate variation patterns
IoT Safe Security System Using Voice Command and GPS Tracking: Sistem Keamanan IoT yang Aman Menggunakan Perintah Suara dan Pelacakan GPS Dwi Arifianto; Syamsudduha Syahrorini
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2058

Abstract

General Background Theft remains a significant security issue, requiring improved protection systems for valuable assets. Specific Background Conventional safe security methods, including mechanical locks and password systems, present limitations in usability and vulnerability to unauthorized access. Knowledge Gap Existing systems lack integrated solutions that combine voice-based control and real-time location monitoring within a single IoT framework. Aims This study aims to design and develop a safe security system using Google Voice Assistant and GPS tracking integrated with IoT technology. Results The system utilizes an ESP32 microcontroller, solenoid door lock, and Neo-6M GPS module, enabling voice-controlled access and real-time location monitoring via the Blynk application. Testing shows successful operation with voice command delays around 1–3 seconds and effective monitoring over distances ranging from 1 to 18 km. Network performance improvements were observed, with signal range increasing from 2 meters to 3 meters. Novelty The integration of Google Voice Assistant with IoT-based GPS tracking provides a unified approach for access control and location monitoring. Implications This system offers practical support for remote security management and contributes to the development of smart security technologies. Keywords: IoT Security, Safe System, Voice Command, GPS Tracking, ESP32 Key Findings Highlights Voice-based access control operates with consistent response timing Location monitoring supports long-distance tracking via mobile devices Network optimization shows measurable improvement in signal range
IoT Phase Loss Monitoring System for Low Voltage Panels: Sistem Pemantauan Kehilangan Fase IoT untuk Panel Tegangan Rendah Ananda Putra Suwarno; Syamsudduha Syahrorini Arifianto; Jamaaludin Suwarno
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2059

Abstract

General Background Electrical distribution systems require reliable monitoring to prevent damage and service disruption caused by voltage anomalies. Specific Background Phase loss in low-voltage connection panels can lead to equipment damage and delayed handling due to conventional reporting systems. Knowledge Gap Existing complaint systems relying on SMS technology are inefficient and lack real-time monitoring capabilities. Aims This study aims to design and develop an Internet of Things-based phase loss monitoring and complaint system for low-voltage panels. Results The system utilizes NodeMCU ESP32, PZEM-004T sensors, GPS modules, and Telegram integration to monitor voltage conditions and send real-time notifications. Testing shows accurate voltage readings with an average accuracy of 98% and data transmission delay of 1.54 seconds. The system successfully detects abnormal voltage conditions below 220V, above 240V, and zero voltage while providing location information. Novelty The integration of real-time monitoring, automatic notification, and location tracking in a single IoT system provides a comprehensive solution for electrical disturbance handling. Implications This system supports faster response by technicians and improves operational efficiency in managing electrical distribution disturbances. Keywords: IoT Monitoring, Phase Loss, Low Voltage Panel, ESP32, PZEM-004T Key Findings Highlights Voltage anomaly detection operates with high measurement precision Notification delivery shows consistent low latency performance Location tracking enables rapid identification of disturbance points
IOT-Based Sumo Robot Control Using Blynk Software: Kendali Robot Sumo Berbasis IoT Menggunakan Perangkat Lunak Blynk. Agus Hayatal Falah; Syamsudduha Syahrorini; Arief Wisaksono; Yoga Eko Prasetyo
Academia Open Vol. 8 No. 1 (2023): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.8.2023.5976

Abstract

This study explores the use of IoT technology to enhance communication between Android smartphones and sumo robots, aiming to overcome the limited range of Bluetooth connections. By utilizing the NodeMCU ESP8266 microcontroller, the researchers achieved a connection speed of 4.6 seconds. Furthermore, the step-down circuit test with a 5Vdc power supply and the LiPo 3-cell battery test with a 12.54Vdc power supply yielded positive results. The Bts7960 driver was also successfully tested for clockwise and counterclockwise rotation. Finally, the maneuver test using the Blynk software showcased the robot's ability to respond to four commands—forward, backward, turn left, and turn right—via the IoT system. Highlights: Enhanced communication: Utilizing IoT technology enables improved communication between Android smartphones and sumo robots, expanding the range beyond the limitations of Bluetooth. Efficient connection: The implementation of the NodeMCU ESP8266 microcontroller achieves a speedy connection with a response time of 4.6 seconds, facilitating seamless remote control of the robot. Versatile maneuverability: With the Blynk software and IoT system, the sumo robot can execute four essential commands—forward, backward, turn left, and turn right—providing flexibility and control during operation Keywords: Sumo robot, IoT communication, Android smartphones, NodeMCU ESP8266, Blynk software.
Smart Shoe Care: Enhancing Drying Efficiency and Material Preservation: Perawatan Cerdas Sepatu: Meningkatkan Efisiensi Pengeringan dan Preservasi Material Dwi Hadidjaja; Akhmad Ahfas; Syamsudduha Syahrorini; Shazana Dhiya Ayuni
Academia Open Vol. 8 No. 1 (2023): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.8.2023.6117

Abstract

This scientific article presents a novel approach to address the challenges of shoe drying by developing a controlled shoe drying system. The system utilizes a NodeMCU ESP8266 microcontroller with internet connectivity, enabling monitoring and control of the drying process via a smartphone application. By integrating temperature and humidity sensors, the system optimizes the drying time and prevents damage to shoe materials, thus ensuring the preservation of their quality. The research objectives were to enhance drying efficiency, reduce drying time, and maintain the integrity of shoe materials. Experimental methods involved the design and implementation of the system, followed by rigorous testing and evaluation. The results demonstrated significant improvements compared to conventional shoe dryers, reducing drying time from 1-2 days to an efficient duration. The implications of this research are profound, as the developed system offers a sustainable solution to shoe drying, contributing to the preservation of shoe materials and reducing wastage. The findings have relevance for the global footwear industry, with potential applications in shoe care services and consumer households alike. Highlights: Efficient shoe drying: The developed controlled system optimizes the drying process, reducing the drying time significantly compared to conventional methods. Material preservation: The integrated temperature and humidity control prevents damage to shoe materials, ensuring their quality and longevity. Smart technology application: The use of NodeMCU ESP8266 microcontroller with internet connectivity enables remote monitoring and control of the shoe drying system, enhancing convenience and accessibility. Keywords: Shoe drying, Controlled system, Temperature and humidity control, Material preservation, Smart technology.
Characteristics of Betacyanin Natural Food Coloring from Red Dragon Fruit Peel (Water Bath Assisted Solvent Extraction Method): Karakteristik Pewarna Pangan Alami Betasianin dari Kulit Buah Naga Merah (Ekstraksi Metode Water Bath Assisted Solvent Extraction) Syarifa Ramadhani Nurbaya; Ida Agustini Saidi; Syamsudduha Syahrorini; Miftahul Nahdiya
Academia Open Vol. 8 No. 2 (2023): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.8.2023.7274

Abstract

Natural food color are now widely used in food products because they have no side effects that are harmful to the health of the human body. Red dragon skin is one of the sources of natural food coloring. Red dragon skin contains betasianin pigment which produces red-violet. Research aims to determine the effect of the type of solvent and extraction temperature on the characteristics of the Betasianin pigment extract. Betasianin pigment is extracted using the decox method. The parameters measured are colors (L, a, b), pH, and betasianin pigment content. Research uses a randomized group design. Betacyanin pigment from red dragon fruit skin can be extracted using the water bath assisted solvent extraction method. An effective solvent used for the extraction of betacyanin pigment is distilled water and NaCl. Betacyanin pigment can be a natural colorant in food products. Highlights: Optimal Solvent Selection: Distilled water and NaCl are effective solvents for betacyanin pigment extraction, enhancing natural food colorant potential. Influence of Extraction Temperature: Study investigates how extraction temperature impacts betacyanin pigment content and color characteristics. Application in Food Industry: Betacyanin pigment from red dragon fruit skin offers a safe and vibrant natural coloring option for food products. Keywords : betacyanin, extraction, red dragon fruit peel
Line Tracer Robot Navigation System Using Arduino Uno Microntroller With PID Control : Sistem Navigasi Robot Line Tracer Menggunakan Arduino Uno Mikrokontroler Dengan Kontrol PID Agus Hayatal F; Syamsudduha Syahrorini; A Ahfas; Zidan Nur F; Ali Zaenal A
Academia Open Vol. 8 No. 2 (2023): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.8.2023.7275

Abstract

This Study aims to develop a line tracer using Arduino Uno the PID control method. Line tracer robot is a type of robot is a type of robot capable of following a specified path. The PID (Proportional-Integral-Derivative) control used to keep the robot on track by correcting the difference between the actual and the desired position. In this study, 6 photo diode sensors were used, the motor driver used the L293D, and the microcontroller used Arduino Uno. Testing the response of the photo diode sensor had the smallest voltage value at 1,219 Vdc and the largest voltage at 4,875 the result of the motor driver measurements all succeeded in stopping, ccw or cw. The end of testing the line tracer robot using PID control is able to navigate properly without getting of the track. Highlights: Precise Path Following: PID control ensures accurate tracking by correcting position deviations. Sensor Response Evaluation: Photo diode sensor testing reveals voltage range (1.219 Vdc to 4.875 V) for effective line detection. Motor Driver Proficiency: L293D motor driver successfully controls motor functions (stop, ccw, cw) for optimal movement. Keywords : Robot, Line Tracer, PID, Arduino Uno
Co-Authors A , Ali Zaenal A Ahfas A, M Azrul A.Arief DP Adriana Anteng Anggorowati Adriana Anteng Anggorowati Aga Septi Maulana Agradewi , Tahsyah Nabila Putri Agung Wahyu Hidayat Agus Hayatal Agus Hayatal F Agus Hayatal Falah Ahfas, A Ahmad Ahfas Ahmad Ahfas, Ahmad Ahmi Arifuadi Akbar Ari Wibowo Akbar, Mochammad Dzikril Akhmad Ahfas Akhmad Mulyadi Akmaludin, Mohammad Al Machfudz Alfarid Hendro Yuwono Ali Mahfud Roziqin Ali Zaenal A Aliffudin, Muchammad Ananda Putra Suwarno Ananda, Mohammad Azrul Andika Wahyu Nugraha Andriani Eko Prihatiningrum Andy Suryowinoto Anggraeni, Putri Ayunda Annisa, Zhudiah Anwar, Dimas Hijjul Ardi Prayugo Arief Rachmansyah Arief W Arief Wicaksono, Arief Arief Wisaksono Arif Senja Fitrani Arif Wisaksono Arif, Husnul Armadani, Mochammad Aruwanto Hidayat Azmi , Muhammad Zum’an Bima Setya Kusumaraga Choirul Anam AM Diponegoro Denny Irawan Dewi Handayani Untari Ningsih Dikas PN Dony Hari Ramadhan Dwi Arifianto Dwi Hadidijaja Dwi Hadidjaja Rasjid Saputra Efendi, Muhammad Taufik Nur Eksanti, Aulia Risa Eksanti Elena Febri Kusumawati F , Zidan Nur F, Agus Hayatal Fadly Hikmatus Sholichin Faisal Baharudin Alamsah Fajrian Moch Bintang Fariz Zulfiryansyah Fatahillah Ikra Negara Fathul Zannah Ferry Wahyu Perdana Fikroh, Ubaidillah Haji, Shon Hanifa, Rani Syahda Hardi Kurniawan Hardi Kurniawan, Hardi Hasan Bisri Hasfi, Akbar Rayhan Hidayat, Ahmad Iqbal Hindarto I Dewa Made Juniarta Putra I Nyoman Setiawan I Wayan Sukerayasa Ida Agustini Saidi Indah Sulistiyowati Irwan Solikudin Izza Anshory Izza Rosidah Izza Rosyidah Jamaaluddin Jamaaludin Suwarno Jati, Elvira Hazmi Mutiara Kusumawati, Elena Febri Letlora, Sutasoma Anggoro M. Nizar Habibi Machfudz, Al Mahmud, Randy Saputra Miftahul Nahdiya Moch. Azriel Revanza Moh. Muzakki Firmansyah Mohamad Muchtarul Hadist Mohammad Akmaludin Mohammad Syahrul Mubarok Mubarok, Mohammad Syahrul Muhamad Arif Indiarto Muhamad Husaini Muhammad Ainnur Rafdiansyah Muhammad Farhan Muhammad Fariz Ilmi Muhammad Firhand Setiaky Muhammad Hendro Aprianto Mulyadi, Akmad Nahdiya, Miftahul Nanang Prasetiyo Nanggala, Dikas Pandu Negara, Fatahilah Ikra Negara, Fatahillah Okra P, M Afan Wahyu Patria Uman Putra, Novian Poppy Diana Sari Pramana, Joko Prasetyo, Yoga Eko Prastyo, Dwi Prayoga, Dimas Dwi prayogo, rio Purwanti, Yanik R.S, R. Dwi Hadidjaja Rahma, Rina Regita Rahmah Utami Budiandari Rayhan, Akbar Rio Prayogo Rita Rahmaniati Rohman, Rizky Habibur Rosidah , Izza Rosyidah, Izzah Rukmi Sari Hartati S. H. Pramono saputro, galib asbie Shaza Dyah Ayuni Shazana Dhiya Ayuni Soemarno Soemarno Sofyan Radit Kurniawan Syamsi Dhuha, Ahmad Naajih Syarifa Ramadhani Nurbaya Titiek Suheta Vedy Hardino Vini rahmawati Wibowo, Akbar Ari Wicaksono, Arief Tri Yoga Eko Prasetyo Yoga Eko Prasetyo Zidan Nur F Zidan Nur Fauzan Zulfikar Rifky Mumtaz Zulham Arsy