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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Faktor Exacta Jurnal Otomasi Kontrol dan Instrumentasi Jurnal ULTIMA Computing TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Jurnal Sistem Cerdas DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) KURVATEK BERNAS: Jurnal Pengabdian Kepada Masyarakat REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Community Empowerment Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) Jurnal Sosial dan Teknologi J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Elektronika dan Telekomunikasi
Hadi Putri, Dewi Indriati
Universitas Pendidikan Indonesia
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A EVALUASI KINERJA CWDM 8 CHANNEL DENGAN VARIASI PANJANG GELOMBANG: FOKUS POWER LINK BUDGET, SNR DAN BER Rojabi, Alpiyan Arif; Fauzi, Ahmad; Putri, Dewi Indriati Hadi
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 12 No. 2 (2024): TELEKONTRAN vol 12 no 2 Oktober 2024
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v12i2.13635

Abstract

The need for internet connection continues to grow and is the main priority of the Indonesian population. The use of fiber optic as a transmission system aims to increase data transfer speed and is resistant to interference. The use of CWDM technology can overcome high traffic volumes by dividing the wavelength. PT. Surya Citra Media has a network that connects the SCTV tower office with the IVM office in Daan Mogot. This study examines the performance of the CWDM fiber optic network link SCTV Tower - IVM Daan Mogot. The CWDM used has a capacity of 8 channels with a wavelength of 1310nm to 1450nm with a channel spacing of 20nm. This study was conducted to evaluate the 8-channel CWDM fiber optic network through performance measurements. The performance of the fiber optic network is focused on the parameters of the power link budget, SNR and BER. The results showed a power link budget of -9.407 dB and an SNR value with the smallest value of 37.0864 and the largest of 37.6150 dB. While the BER value ranges from 10-10 to 10-11. So that the network can be declared feasible based on the evaluation results.
Smart watering of ornamental plants: exploring the potential of decision trees in precision agriculture based on IoT Pratama, Hafiyyan Putra; Hadi Putri, Dewi Indriati; Putri, Hafiziani Eka; Irawan, Elysa Nensy; Kautsar, Makna A’raaf
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.963

Abstract

Ornamental plant farmers face various challenges due to climate change and environmental stress that significantly affect plant health and growth. This research overcomes these challenges by developing an intelligent watering system that uses internet of things (IoT) technology and decision trees (DTs) algorithms to optimize the use of planting land by ensuring plants grow in the most optimal conditions, both in terms of water and nutrients and increase land productivity. The system is built by integrating various sensors to monitor soil moisture, air humidity, temperature, and light intensity in real-time. The collected data is used to automate watering schedules and provide recommendations on suitable plant species based on the soil nutrient content of nitrogen (N), phosphorus (P), and potassium (K). The use of the DTs algorithm helps in analyzing the data from the sensors and providing recommendations on the most suitable plants for the land. The smart watering system was tested in three zones, each simulating a different watering scenario, and successfully maintained optimal conditions for plant growth in each zone. The machine learning (ML) model with the DTs algorithm can predict the right type of ornamental plants based on the existing land conditions in three watering zones, with an accuracy of 89 %, 90 %, and 91 %, respectively. Furthermore, farmers can follow these recommendations to minimize damage and death of plants so that the level of productivity on the land becomes optimal.
Analysis of Digital Television Signal Reception in Combined Transmitter Antenna Systems Zahra, Hana Fatimah; Setyowati, Endah; Putri, Dewi Indriati Hadi
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 8 No. 2 (2024)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v8i2.1152

Abstract

The Indonesian broadcasting sector has undergone significant transformation with the implementation of the Analogue Switch Off (ASO) program. By July 2023, approximately 97.23% of television stations in Indonesia had migrated to digital broadcasting. However, this figure does not reflect an equitable distribution of normal broadcasts. Data from Transmission Station X indicate that 6.77% of broadcasts are blank, 12.24% experience freezing, and only 80.99% are classified as normal for channel X in the Jabodetabek region. These statistics suggest that the primary objective of the ASO program—providing an enhanced television viewing experience—has not yet been universally achieved. Therefore, efforts are required to ensure the equitable distribution of normal broadcasts. Transitioning from a lower transmitter antenna system to a combined transmitter antenna system is proposed as a potential solution. This study evaluates the Modulation Error Ratio (MER) values in the Jabodetabek region when channel X uses a combined transmitter antenna system. Measurements, conducted using the drive test method, reveal that 99.703% of MER data are above the threshold (normal broadcasts), 0.042% are at the threshold (freeze broadcasts), and 0.255% are below the threshold (blank broadcasts). These results demonstrate that adopting a combined transmitter antenna system can help address the uneven distribution of normal broadcasts in the Jabodetabek region.
Analisis Bibliometrik Riset PID Speed Control pada Rentang 2013-2022 Zakaria, Diky; Ridwan, Taufik; Putri, Dewi Indriati Hadi; Adhi, Himmawan Sapta
Jurnal Otomasi Kontrol dan Instrumentasi Vol 14 No 2 (2022): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2022.14.2.2

Abstract

Penelitian ini bertujuan untuk memberikan gambaran terkait perkembangan riset PID speed control dalam satu dekade terakhir (2013-2022). Metode yang digunakan dalam artikel ini adalah analisis bibliometrik dengan menggunakan VOSviewer, Tableau Public dan Rstudio Biblioshiny. Database yang digunakan adalah Scopus. Dengan kata kunci pencarian “PI* speed control*”, diperoleh 258 dokumen publikasi yang terdiri dari 105 artikel jurnal dan 153 artikel prosiding yang menjadi dataset utama yang digunakan dalam artikel ini. Dari hasil analisis terlihat bahwa jumlah publikasi riset PID speed control berfluktuasi setiap tahunnya. Top 10 dokumen dengan jumlah sitasi terbanyak juga dibahas dalam artikel ini. Author paling produktif dan author paling berpengaruh dalam riset PID speed control terungkap yaitu Verma, A dan Choi, H.H. Topik yang sedang tren dan menjadi hotspot dalam riset PID speed control adalah particle swarm optimization, direct torque control, extended Kalman filter, current predictive control, sliding mode control, model predictive control dan disturbance observer. Akhirnya, artikel ini dapat memberikan informasi yang bermanfaat bagi para peneliti empiris untuk menentukan kebaruan dan research gap untuk penelitian selanjutnya dalam tema utama PID speed control.
OPTIMALISASI SISTEM PENGOPERASIAN GENERATOR SET MENGGUNAKAN METODE LAGRANGE Dulhadi, Dulhadi; Suyanta; Pramudita, Eufrasia Andranetta Gracelynne Eka; Afifudin, Shodiq; Putri, Dewi Indriati Hadi; Pratama, Hafiyyan Putra
KURVATEK Vol 10 No 2 (2025): Energy Management and Sustainable Environment
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/krvtk.v10i2.5791

Abstract

Yogyakarta International Airport has high power demands, supplied by GI Wates with a subscribed capacity of 2 × 8.66 MVA and five generator sets (gensets) each with a capacity of 2.5 MVA. Due to fluctuating flight schedules, all gensets operate simultaneously, leading to inefficient fuel consumption. This study aims to optimize the genset operation pattern using the Lagrange method based on historical energy and fuel consumption trends. The results show that only genset 1 operates optimally (83.26%) under normal conditions. In the event of a genset failure, the load is redistributed to other gensets with lower output to maintain efficiency and reliability. This approach increases efficiency, reduces fuel consumption, and extends engine lifespan. The optimization supports more energy-efficient and reliable airport operations.
Unlocking Wellness: Pionering IoT Wearable Sensor with The Smart Ring for Body Fatigue Monitoring Hadi Putri, Dewi Indriati; Irawan, Elysa Nensy; Venica, Liptia; Pratama, Hafiyyan Putra
ULTIMA Computing Vol 17 No 2 (2025): Ultima Computing: Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v17i2.4172

Abstract

In this study, we present the development and implementation of a low-cost IoT wearable device, the Smart Ring, designed to monitor body fatigue levels. Fatigue, often resulting from energy-draining physical activities, can lead to serious health conditions such as heart attacks, strokes, and asthma. Current devices like smartwatches offer limited functionality in preventing fatigue by merely providing vital sign information. Our Smart Ring aims to bridge this gap by integrating advanced sensors (MAX30100 for heart rate, SpO2, and body temperature) and utilizing fuzzy logic for real-time fatigue level classification. The Smart Ring is paired with an Android application that not only tracks the user's physiological data but also issues alerts and notifications when fatigue thresholds are reached, ensuring timely intervention. The device is designed to be economical and accessible, promoting widespread adoption for better health monitoring in the Society 5.0 era. Preliminary testing with users has demonstrated the effectiveness of the Smart Ring in accurately detecting and categorizing fatigue levels during various activities, supporting its potential as a valuable tool in personal health management. Index Terms— Low-cost, IoT, wearable sensor, body fatigue, the smart ring
KutaBaca: Developing and Implementation of an Offline Digital Library System to Enhance Literacy in the Low-Connectivity Environment of Wiyata Tech Village Purwakarta Venica, Liptia; Sodikin, Reisa Aulia; Herlina, Nina; Elviani, Ulva; Zahron, Aulia Aufa; Kurniawan, Muhammad Randy; Nugraha, Ariel Dwika; Putri, Dewi Indriati Hadi
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 7, No 1 (2026): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v7i1.60-69

Abstract

Achieving Quality Education (Sustainable Development Goals, or SDGs, Point 4) remains a significant challenge in rural areas characterized by low digital infrastructure. Specifically, Kutamanah Village in Purwakarta faces critical literacy issues, with its primary school's literacy rate tragically categorized as ‘red,’ compounded by a low regional Quality Education Index score of 46.70. This research aims to address this digital and literacy gap through the systematic development and implementation of KutaBaca, an Offline Digital Library system. Utilizing a Research and Development (R&D) methodology based on the Software Development Life Cycle (SDLC) model, the system was designed with a local server and an internal wireless network, allowing students and teachers to access a vast collection of e-books and learning modules without relying on an external internet connection. Evaluation focused on rigorous Functional Testing and a System Usability Scale (SUS) assessment involving 30 students and 7 teachers. The results demonstrate a 100% functional success rate and an overall average SUS score of 83.1 ('Excellent'). This confirms that KutaBaca is a reliable, user-friendly, and replicable technological innovation, effectively increasing access to information and serving as a sustainable solution to boost literacy and support SDGs 4, 10, and 17 in low-connectivity regions.
Peningkatan Literasi Melalui Workshop Pemanfaatan Perpustakaan Digital Offline di SDN 1 Kutamanah Purwakarta Putri, Dewi Indriati Hadi; Venica, Liptia; Herlina, Nina; Sodikin, Reisa Aulia; Elviani, Ulva; Zahron, Aulia Aufa; Kurniawan, Muhammad Randy; Nugraha, Ariel Dwika
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2026)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v7i2.16275

Abstract

Keterbatasan infrastruktur digital masih menjadi kendala utama pemerataan akses pendidikan di daerah pedesaan Indonesia. Salah satunya dialami oleh Desa Kutamanah, Kecamatan Sukasari, Kabupaten Purwakarta, yang memiliki skor Indeks SDGs Desa pada aspek Pendidikan Berkualitas (SDGs 4) di bawah 50. Kondisi minimnya konektivitas internet menjadi salah satu penyebab rendahnya literasi membaca dan kemampuan pemanfaatan teknologi, khususnya di lingkungan sekolah dasar. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi digital serta keterampilan teknologi melalui implementasi Workshop Pemanfaatan Teknologi Perpustakaan Digital Offline KutaBaca. Metode yang digunakan adalah pendekatan Participatory Action Research dengan melibatkan guru dan siswa secara aktif dalam tahapan perencanaan, pelatihan, observasi, dan evaluasi dengan instrumen pre-test dan post. Sebanyak 21 peserta mengikuti kegiatan ini. Hasil evaluasi menunjukkan peningkatan signifikan pada pemahaman konsep perpustakaan digital, dari skor rata-rata 2,6 (rendah) pada pre-test menjadi 4,7 (sangat baik) pada post-test. Selain itu, tingkat keterampilan digital meningkat dari skala 2-3 menjadi 4-5, sedangkan tingkat kepuasan peserta mencapai 4,62 (kategori sangat puas). Implementasi sistem perpustakaan digital offline KutaBaca terbukti efektif mendukung proses pembelajaran dan memperkuat budaya literasi digital di sekolah pedesaan. Kegiatan ini menghasilkan model pengabdian berbasis teknologi yang berkelanjutan dan dapat direplikasi di daerah lain dengan keterbatasan akses internet.
IoT-Based Smart Plug with Real-Time Energy Measurement Optimization and Adaptive Current Cutoff Muntaha Hasanah; Dewi Indriati Hadi Putri; Hafiyyan Putra Pratama
Jurnal Elektronika dan Telekomunikasi Vol. 25 No. 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.673

Abstract

The use of electrical energy as a primary power source is increasing, with the residential sector being one of the largest consumers. Electrical energy expenditure often occurs accidentally, potentially leading to energy waste. This research develops an IoT-based electricity usage monitoring system to minimize electrical energy waste and help users improve efficiency and protection against voltage spikes using the R&D approach with a waterfall model.There are 3 layers of IoT architecture using the PZEM-004T sensor as a measuring device for electrical parameters and ESP8266 as a communication module where the results of the sensor readings will be displayed in real-time on the LCD and Blynk with a time difference of 1.6 seconds, in addition to the cost indicator, and the current flowing conditions are also displayed. Sensor readings are valid with values < ± 0.5% for current and voltage and < ± 1% for power readings. System monitoring tests were carried out on 10 electronic devices, and the results of the estimated electricity costs from the use of electrical energy of these electronic devices were obtained. The system is also equipped with a protection feature displayed with a warning indicator, where if the current exceeds 3.1A, the power will automatically be cut off within 15 seconds. This system provides a solution to the efficiency of electrical energy expenditure and provides more protection.
An Intelligent IoT-Based Water Quality Monitoring and STORET Index Prediction System Using Random Forest Yohanes Nugroho; Dewi Indriati Hadi Putri; Mahmudah Salwa Gianti
Jurnal Sistem Cerdas Vol. 9 No. 1 (2026)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v9i1.603

Abstract

Hygiene sanitation water quality fluctuates due to environmental dynamics, yet conventional monitoring systems generally lack the predictive capabilities compliance with health standards (Permenkes No. 2 of 2023). This study aims to develop an intelligent Water Quality Monitoring System (WQMS) capable of predicting water quality status based on the STORET index using the Random Forest algorithm. [Methods] The proposed system integrates an ESP32-S3 microcontroller with calibrated low-cost sensors for real-time data acquisition. To ensure data integrity, regression was applied for sensor calibration, while the STORET method was utilized to determine pollution levels and water feasibility. A Random Forest regression model was then trained using these processed datasets to classify water quality status. Experimental results demonstrated high hardware precision, achieving Mean Absolute Percentage Error (MAPE) values of 5.38% for pH, 2.24% for TDS, and 0.22% for the Flow Meter. Furthermore, the Random Forest model exhibited superior predictive performance, yielding a Coefficient of Determination () of 0.9977, a Mean Absolute Error (MAE) of 0.2213, and a Root Mean Squared Error (RMSE) of 0.5144. These findings indicate that the integrated system effectively combines accurate sensing with robust predictive modeling. Consequently, the system is categorized as highly capable of providing real-time insights and early warnings, offering a significant improvement over traditional monitoring methods for public health safety.
Co-Authors Adhi, Himmawan Sapta Afifudin, Shodiq Agung Satria Pamungkas Ahmad Fauzi Alimudinsyah Alrasyid Andranetta Gracelynne Eka Pramudita, Eufrasia Baha’udin, Muhammad Dany Syauqi Nazhif Diana Eka Putri Diar Dwi Sutia Diky Zakaria Dulhadi, Dulhadi Elviani, Ulva Elysa Nensy Irawan Endah Setyowati Endah Setyowati Estiko Rijanto Farah Aulia Kirana Fauzi Ahmad Muda Fauzie Salman Galura Muhammad Suranegara Haffiyan Putra Pratama Hafiziani Eka Putri, Hafiziani Eka Hanif Aidil Rachman Hasanah, Muntaha Ichwan Nul Ichsan Kautsar, Makna A’raaf Kholidatuzzahra, Zamzam Kurniawan, Muhammad Randy Liptia Venica Mahmudah Salwa Gianti Makna A'raaf Kautsar Makna A’raaf Kautsar Maranatha, Jojor Renta Maulana, Farhan Mohammad Arsyad Muhammad Bilal Hamzah Muhammad Rifai Ayatulloh Muhammad Rizalul Wahid Muntaha Hasanah Nina Herlina Nugraha, Ariel Dwika Nuur Wachid Abdul Majid Pramudita, Eufrasia Andranetta Gracelynne Eka Pratama, Hafiyyan Putra Putra Pratama, Hafiyyan Rabbani, Raihan Fakhri Rezka Bunaiya Prayudha Rizky Hamdani Sakti Rojabi, Alpiyan Arif Salmadiina, Ashrida Sari, Nadia Tiara Antik Shinta Rohmatika Kosmaga Sodikin, Reisa Aulia Subagja, Banda Sudjani Sudjani Suyanta Suyanta Syifaul Fuada Taufik Ridwan Taufik Ridwan, Taufik Vormes Gema Merdeka Yohanes Adi Nugroho Yohanes Nugroho Zahra, Hana Fatimah Zahron, Aulia Aufa