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All Journal Dinamik Jurnal Pembangunan dan Alam Lestari ELINVO (Electronics, Informatics, and Vocational Education) Jurnal Teknik Elektro 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 Academia Open 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) 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
Syahrorini, Syamsudduha
Universitas Muhammadiyah Sidoarjo
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Lapindo Embankment Security Monitoring System Based on IoT Ayuni, Shazana Dhiya; Syahrorini, Syamsudduha; Jamaaluddin, Jamaaluddin
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 6 No. 1 (2021): Mei 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (796.787 KB) | DOI: 10.21831/elinvo.v6i1.40429

Abstract

Since 2006 Lapindo mudflow caused by natural gas drilling in Sidoarjo. Nowdays the mudflow still can't be stopped, and to prevent it from resident's houses, embankments were built. Eventough the embankments and guardrails has been built but sometimes the mud flowing into resident's houses while its raining or the embankments were subsidence or reep. Severity, the distance between the embankment and the residents' houses is about 500 m. So far, the handling action while embankments ware subsidence is residents report the accidents to related parties, namely PPLS. But the response is too late and take a long time to occur the accident, so the mud has been flow in to resident's houses. because so far it is still completely manual and there is no monitoring system can detect the accident in the embankments. Therefore with monitoring the embankments with vibration and overflow of the lapindo puddle using wirelless sensor network spread over a number of dike-prone points, then its send to smartphone via Blynk. When the accident happend system monitoring aplication will be warning and send message easly via smartphone. So the existence of this monitoring tool can provide a sense of security to the citizens.
Solar Tracker Enhances Energy Yield by Over 35%: Pelacak Tenaga Surya Meningkatkan Hasil Energi Lebih dari 35% Azmi , Muhammad Zum’an; Syahrorini, Syamsudduha; Anshory , Izza; Ayuni , Shazana Dhiya
Indonesian Journal of Innovation Studies Vol. 25 No. 2 (2024): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i2.1137

Abstract

The escalating demand for electricity, coupled with Indonesia's commitment to expanding renewable energy sources, particularly solar power, underscores the necessity for innovative approaches in optimizing solar energy utilization. This paper addresses the deficiency in traditional fixed-angle solar panels, which fail to harness solar energy efficiently due to their inability to track the sun's movement. Through a comprehensive study utilizing literature review and system design, this research aims to develop an advanced solar tracker system to enhance energy production. The proposed solar tracker employs a scanning method to adjust panel orientation every hour, ensuring optimal sunlight absorption throughout the day. The methodology encompasses literature review, system design, and partial testing to evaluate sensor functionality, battery charging circuit, real-time clock module, and stepper motor driver. Results indicate that the solar tracker system increases electricity generation by 35.53% compared to fixed-angle panels, demonstrating its efficacy in maximizing solar energy utilization. Furthermore, the system's ability to adapt to changing weather conditions underscores its potential for practical implementation in renewable energy initiatives, thereby contributing to sustainable energy development. Highlight: Energy boost: Solar tracker increases electricity generation by 35.53%. Adaptive design: Scans hourly for optimal sunlight absorption. Practicality: Suitable for real-world renewable energy applications. Keywoard: Solar tracker, Renewable energy, Energy optimization, System design, Electrical efficiency
Automated Precision Paper Counting with Seamless Data Transmission: Penghitungan Kertas Presisi Otomatis dengan Transmisi Data Tanpa Batas Letlora, Sutasoma Anggoro; Syahrorini, Syamsudduha
Indonesian Journal of Innovation Studies Vol. 25 No. 2 (2024): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i2.1139

Abstract

The integration of automation in the printing industry has revolutionized processes, yet manual calculations persist in centers like Aslaka, managed by Electrical Engineering Laboratory Assistants, leading to inaccuracies and opacity in pricing. This study aims to address this gap by developing an automated pricing device, ensuring precision and transparency in paper quantity and total cost determination. Utilizing research and development methodology, comprehensive testing of IR sensors and IoT-based data transmission was conducted to guarantee reliability. Findings demonstrate successful paper detection by IR sensors at 2 cm and 3 cm distances, with sensor readings accurately displayed on a 20x4 I2C LCD screen. Data transmission to Google Sheets via Pushingbox API exhibited exceptional accuracy, achieving consistent 100% matching. This innovation enhances efficiency and transparency in pricing, offering significant implications for the printing industry's advancement. Highlight: Development Method: Utilizes research and development for comprehensive testing and reliability. Sensor Precision: IR sensors accurately detect paper at varying distances. Data Transmission: IoT enables seamless data transfer to Google Sheets. Keywoard: Automation, Printing Industry, IR Sensors, Transparent Pricing, IoT
IoT revolutionizes orchid cultivation in Indonesia with precision and efficiency: IoT merevolusi budidaya anggrek di Indonesia dengan presisi dan efisiensi Bisri, Hasan; Syahrorini, Syamsudduha
Indonesian Journal of Innovation Studies Vol. 25 No. 4 (2024): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i4.1181

Abstract

The Orchidaceae family is highly valued in ornamental, perfume, medical, and cosmetic industries, but cultivation often fails due to human error. This research aims to design an IoT-integrated automation system to monitor and control key parameters such as air temperature, humidity, and moss moisture for orchid cultivation. Using the research and development method, we observed plant needs, reviewed relevant literature, designed an effective system, and tested sensor accuracy and system reliability. Results showed the DHT-22 sensor had a minimal error in temperature (0.9%) and humidity (2.1%) readings, and the soil moisture sensor had a 3.65% error. The system maintained optimal conditions, and the Blynk app effectively displayed data. This innovation reduces human error and enhances orchid cultivation efficiency, with potential applications in other sensitive plant systems. Highlight: Error Reduction: IoT system minimizes human error in orchid cultivation. Sensor Accuracy: DHT-22 sensors show minimal temperature (0.9%) and humidity (2.1%) errors. Optimal Conditions: Maintains air humidity 40%-80%RH and moss moisture 50%-80%RH. Keyword: Orchidaceae, IoT automation, sensor accuracy, environmental control, orchid cultivation
Arduino Sensors Reveal Temperature-Driven Compression Fluctuations in Vehicle Engines: Sensor Arduino Mengungkap Fluktuasi Kompresi yang Didorong oleh Suhu pada Mesin Kendaraan Fikroh, Ubaidillah; Syahrorini , Syamsudduha
Indonesian Journal of Innovation Studies Vol. 25 No. 4 (2024): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i4.1195

Abstract

Many modern vehicles suffer from engine trouble due to decreased compression pressure, necessitating a simple and efficient measurement tool. This study develops an Arduino-based device to measure engine compression and temperature using a pressure sensor in the spark plug location and a temperature sensor in the oil gauge, with results displayed on a 16x2 I2C LCD. Testing each engine cylinder before and after heating shows that compression pressure is strongly influenced by temperature (over 80%). The tool enhances engine diagnostics, offering precise, real-time monitoring to improve vehicle maintenance and longevity. Highlight: Real-time Monitoring: Provides precise, real-time engine diagnostics. Temperature Influence: Compression pressure is 80% influenced by temperature. Enhanced Maintenance: Offers accurate compression and temperature measurements. Keywoard: Engine trouble, Compression pressure, Arduino, Pressure sensor, Temperature sensor
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.
Optimization of DC Motor PID Control Using the Ziegler–Nichols Method with Encoder and Op-Amp (Lm324): Optimasi Kontrol PID Motor DC Menggunakan Metode Ziegler–Nichols Dengan Encoder Dan Op-Amp (Lm324) Syahrorini, Syamsudduha; Akmaludin, Mohammad; Mubarok, Mohammad Syahrul; Anggorowati, Adriana Anteng
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.12875

Abstract

Design and optimization of PID controller for Arduino Uno-based DC motor with encoder feedback and signal conditioning using LM324 op-amp. The method used is Ziegler–Nichols (ZN) to obtain the initial parameters Kp, Ki, and Kd from the measurement of ultimate gain (Ku) and oscillation period (Pu). The plant model uses a digital implementation of a DC motor including anti-windup, first-order filtered derivatives, and PWM voltage limiting. The test data in the form of step response, disturbance rejection, and sensitivity to noise are analyzed using rise time, overshoot, settling time, IAE, and ISE indicators. The analysis results of Ku≈11.3 and Pu≈0.3 s produce Kp≈6.80, Ki≈45.31, Kd≈0.25, with fast response and acceptable overshoot; fine-tuning reduces oscillation and accelerates steady-state time. The conclusion is that the LM324 encoder improves feedback accuracy, while ZN is effective as a starting point for tuning for stable and robust performance. Highlights: Accurate tuning using Ziegler–Nichols method provides effective initial PID parameters. LM324 signal conditioning enhances encoder feedback precision. Optimized response achieves fast rise time with minimal overshoot and stable steady-state. Keywords: PID, Ziegler–Nichols, motor DC, encoder, LM324
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.
Co-Authors A , Ali Zaenal A, M Azrul A.Arief DP Adriana Anteng Anggorowati Aga Septi Maulana Agradewi , Tahsyah Nabila Putri Agung Wahyu Hidayat Agus Hayatal Agus Hayatal Falah 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 Aliffudin, Muchammad Ananda, Mohammad Azrul Andika Wahyu Nugraha Andriani Eko Prihatiningrum Andriani Eko Prihatiningrum, Andriani Eko 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 Ayuni , Shazana Dhiya Azmi , Muhammad Zum’an Bima Setya Kusumaraga Choirul Anam AM Diponegoro Denny Irawan Dewi Handayani Untari Ningsih Dikas PN Dwi Hadidijaja Dwi Hadidjaja 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 Ida Agustini Saidi Indah Sulistiyowati Irwan Solikudin Izza Anshory Izza Rosidah Izza Rosyidah Jamaaluddin Jati, Elvira Hazmi Mutiara Kusumawati, Elena Febri Letlora, Sutasoma Anggoro M. Nizar Habibi Machfudz, Al Mahmud, Randy Saputra Moch. Azriel Revanza Moh. Muzakki Firmansyah Mubarok, Mohammad Syahrul Muhamad Arif Indiarto Muhamad Husaini Muhammad Farhan Muhammad Fariz Ilmi Muhammad Hendro Aprianto Mulyadi, Akmad Nahdiya, Miftahul Nanggala, Dikas Pandu Negara, Fatahilah Ikra Negara, Fatahillah Okra P, M Afan Wahyu Patria Uman Putra, Novian Pramana, Joko Prasetyo, Yoga Eko Prastyo, Dwi Prayoga, Dimas Dwi prayogo, rio R.S, R. Dwi Hadidjaja Rahma, Rina Regita Ramadhani Nurbaya, Syarifa Rayhan, Akbar Rio Prayogo Rita Rahmaniati Rohman, Rizky Habibur Rosidah , Izza Rosyidah, Izzah S. H. Pramono Saidi , Ida Agustini saputro, galib asbie Shaza Dyah Ayuni Shazana Dhiya Ayuni Soemarno Soemarno Sofyan Radit Kurniawan Syamsi Dhuha, Ahmad Naajih Syarifa Ramadhani Nurbaya Syarifa Ramadhani Nurbaya Titiek Suheta Vedy Hardino Vini rahmawati Wibowo, Akbar Ari Wicaksono, Arief Tri Yanik Purwanti Yoga Eko Prasetyo Yoga Eko Prasetyo Zidan Nur Fauzan Zulham Arsy