Article Per Year (5 Year)
p-Index From 2021 - 2026
1.152
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering ICIT (Innovative Creative and Information Technology) Journal Applied Research and Smart Technology (ARSTech) Jurnal Ilmiah Ilmu Terapan Universitas Jambi Jurnal Pengabdian Masyarakat Bangsa
Kristyawati, Desy
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Arts 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 Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Pelatihan Desain Rangkaian Logika dengan Simulasi Komputer pada Siswa SMK Yadika 13 Tambun Harahap, Robby Kurniawan; Christina, Erma Triawati; Kristyawati, Desy; Situmeang, Alona; Jamilah, Jamilah
Jurnal Pengabdian Masyarakat Bangsa Vol. 2 No. 4 (2024): Juni
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v2i4.951

Abstract

Pelatihan ini bertujuan untuk meningkatkan pemahaman dan keterampilan siswa SMK Yadika 13 Tambun dalam merancang rangkaian logika menggunakan perangkat lunak LTSpice. Gerbang logika yang terdiri dari gerbang logika utama dan pendukung yang beroperasi dengan menggunakan sistem bilangan biner, memainkan peran penting dalam elektronika digital. Dalam pelatihan ini, siswa diajarkan konsep dasar gerbang logika (NOT/INVERTER, BUFFER, AND, OR, NAND, NOR, XNOR) dan cara penggunaannya dalam LTSpice untuk merancang rangkaian elektronik. Pelatihan ini dipandu tenaga pengajar dari Program studi Teknik Elektro Universitas Gunadarma dalam proses pelatihan dan pengabdian kepada masyarakat. Hasil dari pelatihan menunjukkan pencapaian yang positif yaitu 75% dari total peserta siswa mampu dalam memahami terhadap konsep rangkaian logika dan kemampuan praktis siswa dalam menggunakan LTSpice. Partisipasi aktif siswa dan umpan balik positif menandakan keberhasilan pendekatan pembelajaran yang diterapkan. Dengan demikian, pelatihan ini tidak hanya memberikan manfaat langsung bagi siswa tetapi juga berkontribusi dalam meningkatkan keterampilan siswa di SMK Yadika 13 Tambun.
Lighting system automation using a relay based on radio frequency identification tag input and kiosks’ information access with Telegram application in the modern market Ngalimin, Libratyan Jhon; Christina, Erma Triawati; Kristyawati, Desy
Applied Research and Smart Technology (ARSTech) Vol. 4 No. 1 (2023): Applied Research and Smart Technology
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/arstech.v4i1.1473

Abstract

Advancements in technology necessitate the swift and efficient management of systems, particularly concerning electricity consumption and information dissemination. To address this, a prototype was developed to automate lighting systems and display kiosk information in modern markets. Key components utilized include an RFID reader, GPS module, NodeMCU ESP8266, and relays, all of which played crucial roles in the functioning of the prototype. The primary objective was to create a device capable of automatically controlling the lighting system through relays, triggered by RFID inputs, while also relaying kiosk information via the Telegram application. For instance, when a registered RFID tag is tapped while the shop is open and the lamp is initially on, the lamp will be switched off, ensuring energy efficiency and timely response. The GPS module is employed to obtain location data, which, along with kiosk open/close status, can be conveniently accessed through the Telegram app. This integration of the GPS module enhances the prototype's functionality by providing valuable location-based information, making it easier for users to monitor and access the information remotely. Test results demonstrate that the RFID tag can be read from a maximum distance of 4.5 cm, with an average processing time of 2.47 seconds for lamp switching and 5.6 seconds for accessing information. These performance metrics validate the efficacy of the prototype methodology in achieving its intended goals of automation, energy efficiency, and seamless information dissemination in modern markets.
Pelatihan Pemanfaatan Simulator Elektronika Online Untuk Perangkat Keras IoT Bagi Siswa SMK Yadika 13 Tambun Christina, Erma Triawati; Harahap, Robby Kurniawan; Kristyawati, Desy; Situmeang, Alona; Jamilah, Jamilah
Jurnal Pengabdian Masyarakat Bangsa Vol. 2 No. 11 (2025): Januari
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v2i11.1981

Abstract

Pelatihan pemanfaatan simulator elektronika online Wokwi bertujuan untuk meningkatkan pemahaman dan keterampilan siswa SMK Yadika 13 Tambun dalam bidang elektronika dan Internet of Things (IoT). Pelatihan ini dirancang untuk mengintegrasikan konsep teori dengan praktik, memungkinkan siswa memahami penerapan teknologi IoT dalam kehidupan nyata. Metode yang digunakan adalah metode pembelajaran terintegrasi, yang menggabungkan ceramah interaktif, simulasi praktis, dan diskusi berbasis kasus. Pelaksanaan pelatihan melibatkan lima dosen dari Program Studi Teknik Elektro Universitas Gunadarma, dengan fokus pada pengenalan simulator Wokwi, praktik perancangan rangkaian elektronik sederhana, serta pengembangan proyek IoT berbasis sistem tertanam. Hasil pelatihan menunjukkan keberhasilan dalam meningkatkan pemahaman dan keterampilan siswa, dengan sebagian besar peserta mampu mendesain rangkaian logika secara mandiri dan memahami konsep kerja komponen IoT. Diskusi berbasis kasus juga memicu antusiasme siswa, menghasilkan ide-ide inovatif untuk penerapan teknologi IoT. Kesimpulannya, pelatihan ini memberikan dampak positif yang signifikan terhadap kemampuan teknis siswa dan diharapkan dapat menjadi model kegiatan berkelanjutan dalam mendukung pendidikan vokasi di bidang elektronika dan IoT.
Aplikasi Absensi Berbasis Pengenalan Wajah Dengan Haar Cascade dan Local Binary Pattern Histogram Oktarino, Reffian; -, Jamilah -; Kristyawati, Desy; Syukriah, Fivi
ICIT Journal Vol 11 No 2 (2025): Agustus 2025
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/icit.v11i2.3543

Abstract

Pengenalan wajah adalah teknologi biometrik yang digunakan untuk mengidentifikasi atau memverifikasi identitas seseorang dengan menganalisis ciri-ciri wajahnya. Pengenalan wajah dalam aplikasi absensi memiliki banyak manfaat, antara lain mempermudah proses pencatatan kehadiran secara otomatis dan akurat, mengurangi risiko kecurangan Absensi atau catatan kehadiran di kampus menjadi salah satu bagian penting dalam proses belajar mengajar. Catatan kehadiran mahasiswa dapat menjadi salah satu bukti keaktifan mahasiswa dalam mengikuti kegiatan belajar di kelas. Aplikasi Pengenalan Wajah dengan menerapkan algoritma Haar Cascade dan Local Binary Pattern Histogram (LBPH) dibuat untuk membantu dalam melakukan kegiatan absensi dengan menggunakan wajah seseorang sebagai identitas dasar. Metode penulisan menggunakan tahap analisis, perancangan, implementasi dan pengujian. Berdasarkan uji coba aplikasi ini dapat mendeteksi wajah dengan beberapa kondisi seperti menggunakan atribut kacamata dan penutup kepala kecuali menggunakan tutup muka karena inti wajah seperti hidung dan mulut tertutup sehingga sulit aplikasi untuk mengenali wajah. Aplikasi dapat mengenali subjek yang berbeda dan beberapa posisi saat melakukan pengenalan wajah dengan tingkat akurasi sebesar 100%.
Integration of strain gauge sensor in biceps muscle movement detection using LabView Kristyawati, Desy; Soerowirdjo, Busono; Christina, Erma Triawati; Harahap, Robby Kurniawan
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i4.pp3696-3706

Abstract

Muscle injuries caused by sports can have a serious impact on sportsmen, to avoid injuries during sports can be prevented by detecting the wrong movement using a strain gauge sensor attached to the muscle which in this study is devoted to the biceps muscle. The strain gauge will detect muscle movement, and the output generated at the strain gauge will be converted into the form of voltage and current which will be used to be processed using machine learning to get data patterns so that they can be grouped into data patterns of wrong movements and correct movements. The strain gauge movement pattern here is simulated using LabView by using a gauge resistance of 120 Ω, strain configuration Quarter Bridge 1, gauge factor 2.05, Vex is the excitation voltage given to the Wheatstone bridge is 5 V and the initial voltage -180.08 µV, the strain gauge output pattern is obtained in the form of Excel and with this data can be converted into voltage and current.
AN EVENT DRIVEN FRAMEWORK INTEGRATING RANDOM MATRIX THEORY AND DEEP LEARNING FOR ACTIVE VOLTAGE CONDITIONER INSTALLATION DECISION IN ELECTRICAL DISTRIBUTION SYSTEMS Rofii, Ahmad; Wijonarko, Panji; Sobirin, Muhammad; Kristyawati, Desy
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 4 (2026): Volume 10, Nomor 4, August 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i4.55945

Abstract

Voltage sags are frequent disturbances in industrial power systems that can disrupt system operations and cause equipment malfunctions. The proposed framework integrates Random Matrix Theory (RMT) to identify disturbance patterns. It evaluates the severity, vulnerabilities, and operational impact of voltage sag events using the Information Technology Industry Council (ITIC) curve. This research uses event data, disturbance type, associated equipment, disturbance duration, and three-phase voltage measurements to predict the temporal evolution of ITIC conditions in pattern disturbance dynamics. Deep learning models, namely Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), are then employed to predict the temporal evolution of ITIC conditions. Based on power metering unit measurements, the observed voltage variations were non-linear, yet the RMT stability index (Ψ) remained within ITIC tolerance limits. The severity of stability disturbances was successfully evaluated, and the GRU model demonstrated superior predictive performance compared to the LSTM model. Consequently, the industry requires an AVC system—aligned with the combined stability-severity-risk paradigm and the prediction results—to effectively mitigate voltage compensation risks through precise AVC operation. These findings demonstrate that integrating RMT-based fault analysis, ITIC-based severity assessment, and deep learning-based prediction offers a more systematic and predictive approach to voltage sag assessment than relying solely on empirical evaluation. Consequently, this enables more accurate determination of AVC installation requirements, thereby effectively mitigating faults. The implication is a shift in how AVC requirements are assessed—moving from a reactive to a predictive approach—thereby reducing the risk of inadequate or unnecessary compensation.
Co-Authors -, Jamilah - Ahmad Rofii Busono Soerowirdjo Erma Triawati Christina Fivi Syukriah, Fivi Harahap, Robby Kurniawan Jamilah Jamilah Muhammad Sobirin Ngalimin, Libratyan Jhon Oktarino, Reffian Situmeang, Alona Wijonarko, Panji