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All Journal Jurnal Energi Dan Manufaktur Mechatronics, Electrical Power, and Vehicular Technology Simetris Jurnal Simetris Transformasi: Jurnal Pengabdian Masyarakat Compiler INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Jurnal Teknik Mesin Jurnal Informatika dan Rekayasa Elektronik Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Intech : Information Technology Journal of UMUS Jurnal Teknik Informatika (JUTIF) Prima Abdika: Jurnal Pengabdian Masyarakat International Journal for Applied Information Management LOGIC : Jurnal Ilmu Komputer dan Pendidikan Jurnal Ilmiah Informatika dan Komputer Fokus Abdimas The Indonesian Journal of Computer Science
Wahyusari, Retno
Sekolah Tinggi Teknologi Ronggolawe Cepu
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PELATIHAN PENINGKATAN KETRAMPILAN MICROSOFT OFFICE BAGI SISWA SMP PGRI BLUNGUN Wahyusari, Retno; Sulistiyo, Yogi; Nagari, Bintang Putra; Rahmasari, Nagita; Al Hadi, Fahreza; Ayu, Anggi Mutia; Masuri, Masuri; Mudjijanto, Mudjijanto; Widyassari, Adhika Pramitha
Fokus ABDIMAS Vol 3, No 1: April 2024
Publisher : STIE Pelita Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34152/abdimas.3.1.65-68

Abstract

SMP PGRI Blungun has a computer practice room which is only used for computer-based national exams (UNBK). This condition is very unfortunate to see that there are Skills/Information and Communication Technology lessons. In this lesson the teacher only provides theory without any practical work. Success in education is supported by computer skills or digital literacy. It cannot be denied that information and communication technology is a primary need for many groups. Training on the introduction and use of Microsoft Office (MS Word, MS Excel, and MS Power Point). This is one of the computer skills activities that can prepare you for entering the world of work. As a result of the training, students were able to operate MS Word, MS Excel, and MS Power Point, where previously students had never operated Microsoft Office. The training also produces practicum modules that can be used by students to improve skills, as well as increase students' interest in learning to use computers or digital literacy.
Perbandingan Segmentasi Ruang Warna HSV dan YCbCr untuk Deteksi Objek Amrozi, M Ali; Figo SW, Denni; Wahyusari, Retno
INFOMATEK Vol 26 No 2 (2024): Desember 2024
Publisher : Fakultas Teknik, Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/infomatek.v26i2.19025

Abstract

Salah satu langkah penting dalam pengenalan objek adalah segmentasi gambar, proses memisahkan objek yang relevan dari latar belakangnya, Segmentasi gambar yang efektif  meningkatkan akurasi dan efisiensi seluruh sistem deteksi objek. Pada dasarnya, ruang warna RGB yang umum digunakan tidak selalu optimal untuk analisis visual, terutama dalam lingkungan yang bervariasi pencahayaannya atau warna yang harus diidentifikasi secara spesifik. Oleh karena itu Dalam penelitian ini, membandingkan kinerja segmentasi ruang warna HSV dan YCbCr untuk deteksi objek. HSV (Hue, Saturation, Value) terdiri dari Hue mewakili warna dasar, Saturation mengukur kejelasan warna (intensitas atau kejenuhan), Value menunjukkan kecerahan warna. YCbCr (Luma, Blue-difference, Red-difference), Y adalah komponen luma yang merepresentasikan tingkat kecerahan, Cb dan Cr adalah komponen chrominance yang merepresentasikan informasi warna (biru dan merah), yang dapat mengisolasi aspek warna, intensitas, dan kecerahan.. Tujuan penelitian ini memberikan kontribusi penting untuk memahami keunggulan YCbCr dibandingkan HSV dalam konteks deteksi objek, serta memberikan pedoman praktis untuk penerapan teknik deteksi objek secara lebih efektif dan efisien. Hasil analisis dan eksperimen yang dilakukan, nilai PSNR (Peak Signal-to-Noise Ratio) paling besar pada citra 1  hasil segmentasi menggunakan ruang warna YCbCr dengan nilai 14,0627 dB dan nilai HSV paling besar bernilai 10,2397 dB.  Berdasarkan nilai PSNR ruang warnaYCbCr memberikan kinerja  unggul dalam hal  segmentasi, , dan efisiensi komputasi.   Keywords : Object detection, color space segmentation, HSV, YCbCr, PSNR
IoT-based high-accuracy monitoring system for on-grid photovoltaic power system using NodeMCU ESP8266 and PZEM004T Wibowo, Lastoni; Wahyusari, Retno; Yuwono, Teguh; Shofia, Aina
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.823

Abstract

Monitoring systems for On-Grid Photovoltaic Power Systems use IoT technology for real-time performance tracking via the Internet. Typically, these systems involve current and voltage sensors to measure Current, Voltage, Power, Energy, and Power Factor (Cos φ). However, many existing systems do not thoroughly address the accuracy of these measurements. To ensure reliability, a system must achieve measurement accuracy above 90%. This article presents an IoT-based On-Grid photovoltaic power monitoring system designed to measure electrical parameters with high accuracy. The system uses the PZEM004T sensor and NodeMCU ESP8266, which transmits data to the Blynk IoT server over an internet connection. The system's accuracy is assessed using the Mean Absolute Percentage Error (MAPE) calculation. Results show that this system achieves an accuracy of 96.37%, indicating high reliability and suitability for practical use due to its accuracy above 95%. This makes the designed system highly reliable, effective, and feasible for monitoring On-Grid Photovoltaic Power Plants.
SYSTEMATIC REVIEW OF EXPERT SYSTEM FOR DETECTING MENTAL HEALTH DISORDERS IN COLLEGE STUDENTS Widyassari, Adhika Pramita; Carreon, Jonathan Rante; Wahyusari, Retno
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 6 (2024): JUTIF Volume 5, Number 6, Desember 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.6.4089

Abstract

There is an urgent need to detect and manage mental health disorders among college students, who often face psychological challenges due to academic pressures and significant life changes. In this context, expert systems emerge as a potential tool to assist in the diagnosis and management of mental health problems. The purpose of this study is to present the results of a systematic review of expert systems for detecting mental health disorders in college students through the systematic literature review (SLR) method. By asking four research questions covering types of mental health disorders, methods used, comparisons between methods, and testing techniques, this study limits its review to studies published in the last five years, from 2019 to 2024. This review covers various types of mental health disorders, such as depression, anxiety, stress disorders and other mental health disorders that are often experienced by the college student population. As well as evaluating and comparing methods such as forward chaining, backward chaining, certainty factor and fuzzy logic methods to identify the advantages and disadvantages of each method. Certainty Factor emerged as the most accurate method with an accuracy of 96.09% and the recommendation for combining methods for this study is certainty factor and forward chaining with an accuracy result of 100%. In addition, this study also discusses the testing process to ensure the effectiveness and accuracy of the resulting diagnosis. The findings of this systematic review are expected to provide valuable insights for the development of more effective expert systems in supporting college students' mental health.
Desiminasi Teknologi Capasitiv Sensor dan Arduino Uno dalam Pembuatan Voicing Poster untuk Peningkatan Pemahaman Sex Education bagi Anak Sekolah Dasar Wulan Sutriyani; Dwiana Asih Wiranti; Retno Wahyusari; Dyah Ayu Safitri Aprilia; Esa Adistiya Fajarwati Mahdum; Muhamad Nur Subkan; Hilda Nur Maziyah
Prima Abdika: Jurnal Pengabdian Masyarakat Vol. 4 No. 4 (2024): Volume 4 Nomor 4 Tahun 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar Universitas Flores Ende

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/abdika.v4i4.4702

Abstract

In the current millennial era, cases of sexual violence in Indonesia continue to increase, making it necessary to provide sex education to children. The partner school in this research is the teacher working group (KKG) of Dabin IV SD Nakula Sadewa cluster in Bangsri sub-district, Jepara district, which consists of 9 elementary schools. They face issues with some elementary school children making jokes that lead to pornographic remarks or engaging in verbal and physical bullying. The aim of this community service program (PKM) is to enhance students' understanding of sex education, improve teachers' ability to master sex education material, and increase teachers' ability to innovate in creating learning media based on Capacitive Sensor technology and Arduino Uno. This research method is carried out in 5 stages: socialization, training, technology application, mentoring, and sustainability. As a result, the partners can improve their competence in developing innovative capacitive sensor technology learning media for elementary school children. From the implementation of this community service activity, the use of capacitive sensor technology-based learning media with Arduino Uno successfully addressed the problems faced by the partners.
Perancangan Alat Pengukur Suhu Badan dan Kadar Oksigen Dalam Darah Menggunakan Mikrokontroler Wahyusari, Retno; Wibowo, Lastoni; Amrozi, M Ali
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 2 No 2 (2023): JIIFKOM
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v2i2.354

Abstract

The three symptoms of Corona that are most often experienced are general symptoms such as fever, cough and shortness of breath. Based on this, the government has made regulations to measure body temperature before entering a public space. Even though it's not really something that becomes the main determinant, we still need it for several public locations. In addition to body temperature, checking oxygen levels in the blood is also one of the important indications needed to see a person's body health. The condition is declared healthy if the body temperature is below 37o and oxygen levels are between 95-100. Devices for measuring body temperature and oxygen levels in the blood are tools that support the implementation of health protocols. Utilizers of the tool can detect early health problems based on body temperature and oxygen levels in the blood, especially the corona virus. The test results show that the tool has an accuracy rate above 90%, where the body temperature accuracy is 94.33% and the oxygen level accuracy is 98.63%. This shows that the tool can replace manufacturing tools, so this tool is suitable for use to help create a new normal era that pays attention to health protocols.
Perbandingan Perbaikan Citra Magnetic Resonance Imaging (MRI) Menggunakan Ruang Warna RGB, HSV dan YCbCr Dengan Metode Histogram Equalization dan Contrast Streching Hamzah, Fahmi Aliefuddin; Wahyusari, Retno
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 2 No 2 (2023): JIIFKOM
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v2i2.355

Abstract

Magnetic resonance imaging (MRI) images are the images most often used in the field of radiology. Some of the problems that often occur in medical images are the scanning results that have decreased quality due to noise factors. MRI images that have been printed and then entered into a computerized system will experience a decrease in quality such as the image looks blurry or dark. So it is necessary to improve image quality to create a quality image in order to make it easier for doctors to diagnose and reduce the possibility of analysis errors. Image enhancement (IE) techniques are widely applied to image processing to increase the probability of success in image analysis. Image improvement methods include Histogram Equalization (HE) and Contrast Streching (CS). One of the good images can be seen from the MSE value which is the smallest or close to zero and the highest PSNR value. The color space has an effect on image improvement and can be included in the pre-processing process including RGB, HSV, and YCbCr. Based on the 100 images tested, the results of the RGB image enhancement by 31%, 66% HSV, and 27% YCbCr were said to be successful with the Histogram equalization and contrast streching methods, so the HSV color space is superior to the RGB and YCbCr color spaces.
Sosialisasi Mesin Pencacah Rumput Untuk Pengembangan Pakan Ternak Kambing Di Desa Gagakan Kuncoro, Bagus Tri; Wibowo, Lastoni; Wahyusari, Retno; Yuwono, Teguh; Agung D.N.P, Muhammad; Amrozi, M Ali; Sushananto W, Denni Figo; Nugraha, Anung Satria; Setiawan, David Harry; Eka Y, Sandy Pramudya
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v6i2.11390

Abstract

Ketersediaan pakan yang memadai dan berkualitas adalah salah satu aspek penting dalam pengelolaan peternakan. Dalam perjalanan menekuni usaha para peternak kambing desa gagakan menemui kendala utama yang menghambat kemajuan, yaitu kendala dalam pemberian pakan yang menyita waktu tidak sedikit, guna mencukupi kebutuhan pakan ternak kambing hariannya. Tujuan dari kegiatan ini adalah memberikan sosialisasi kepada peternak supaya mempunyai kemampuan dalam membuat fermentasi pakan kambing & berinovasi dalam mengolah pakan ternak sendiri dengan mesin pencacah rumput. Metode dalam pelaksanaan pengabdian kepada masyarakat terbagi dalam beberapa tahap, yaitu: perencanaan, observasi lingkungan kandang, sosialisasi, pelaksanaan program, evaluasi dan tindak lanjut. Hasilnya menunjukkan bahwa peternak mendapatkan pengetahuan dan dapat menerapkan pembuatan pakan ternak fermentasi dengan mesin pencacah rumput, serta dapat mengoperasikan dan merawat mesin pencacah rumput. Peternak menjadi terbantu dengan adanya mesin pencacah rumput, sehingga waktu yang digunakan lebih efisien.
Comparison of Machine Learning Methods for Predicting Electrical Energy Consumption Wahyusari, Retno; Sunardi, Sunardi; Fadlil, Abdul
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 1 (2025): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i1.2722

Abstract

This research investigates how to accurately predict electrical energy consumption to address growing global energy demands. The study employs three Machine Learning (ML) models: k-Nearest Neighbors (KNN), Random Forest (RF), and CatBoost. To enhance prediction accuracy, the researchers included a data pre-processing step using min-max normalization. The analysis utilized a dataset containing 52,416 records of power consumption from Tetouan City. The dataset was divided into training and testing sets using different ratios (90:10, 80:20, 50:50) to evaluate model performance. Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) were used to assess prediction accuracy. Min-max normalization significantly improved KNN's performance (reduced RMSE and MAPE). RF achieved similar accuracy with and without normalization. CatBoost also demonstrated stable performance regardless of normalization. Data pre-processing, specifically min-max normalization, is crucial for improving the accuracy of distance-based algorithms like KNN. Decision tree-based algorithms like RF and CatBoost are less sensitive to data normalization. These findings emphasize the importance of selecting appropriate pre-processing techniques to optimize energy consumption prediction models, which can contribute to better energy management strategies.
Perancangan Kalkulator Elemen Mesin untuk Perencanaan Poros Suryanto, Hendri; Herraprastanti, Eva Hertnacahyani; Wahyusari, Retno; Gunawan, Helmi
Jurnal Teknik Mesin Vol 18 No 1 (2025): Jurnal Teknik Mesin
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jtm.18.1.1857

Abstract

To design a transmission shaft requires quite complicated calculations, the calculation time is also quite long and the calculations must be careful because they are done manually, as has been done so far. The calculation results must also be accurate because the size of the shaft that does not meet the requirements can result in failure. To meet these needs, calculations in shaft design can be done with a tool, namely a software application that is run on a computer. The purpose of this study is to produce a software application or machine element calculator for shaft planning using the Matlab GUI, and to increase the efficiency of shaft planning in terms of time. This machine element calculator is designed by selecting the Matlab GUI menus according to the calculation formulas for the torsional load shaft diameter, namely Edit Text, Static Text, Panel and Push Button. Then arrange and edit the GUI menus through the Property Inspector and create a program (Matlab Code) for calculating the shaft diameter through the Callback menu. With this calculator, calculations in transmission shaft planning can be accelerated, which is an average of 24.8 minutes faster than manual calculations, which is an average of 34.8 minutes.
Co-Authors ., Suprawikno Abdul Azis Abdul Fadlil Achmad Furqon Nur Fitriadhi Adhika Pramita Widyassari Agung D.N.P, Muhammad Ahmad Rifa'i Aji, Doni Kurnia Al Hadi, Fahreza Amrozi, M Ali Anang Widianto Aris Rakhmadi Astika AyuningTyas, Astika Ayu, Anggi Mutia Bambang Haryoko Carreon, Jonathan Rante Devi Tiana Kartikasari Dyah Ayu Safitri Aprilia Eka Y, Sandy Pramudya Endang Kurniawati, Endang Esa Adistiya Fajarwati Mahdum Eva Hertnacahyani Herraprastansi Figo SW, Denni Ghifari, Muhammad Al Gunawan, Helmi Hamzah, Fahmi Aliefuddin Hilda Nur Maziyah Korawan, Agus Dwi Kuncoro, Bagus Tri Lastoni Wibowo Lies Indriyatni Masuri, Masuri Mudjijanto, Mudjijanto Muhamad Nur Subkan Muhammad Abdimas Khalifuddin Nabila, Zahara Nagari, Bintang Putra Nugraha, Anung Satria Putro, Dwi Purnomo Rahmasari, Nagita Ratna Dwi Rahayu Rochmadi, Tri Safiq Rosad Salsabilla, Dea Sarmini Setiawan, David Harry Shofia, Aina Sulistiyo, Yogi Sunardi Sunardi suryani, puput eka Suryanto, Hendri Suryanto, Hendri Sushananto W, Denni Figo Teguh Adi Saputro Teguh Yuwono Teguh Yuwono Wiranti, Dwiana Asih Wulan Sutriyani