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All Journal Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya BAHASA DAN SASTRA Kinesik BAHASANTODEA Jurnal Kreatif Tadulako Online LiNGUA: Jurnal Ilmu Bahasa dan Sastra Academica Al-Ulum Kitektro KEMBARA Jurnal Gramatika JURNAL NASIONAL TEKNIK ELEKTRO IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Al-Adyan: Jurnal Studi Lintas Agama JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Ranah: Jurnal Kajian Bahasa JITK (Jurnal Ilmu Pengetahuan dan Komputer) Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya JURNAL PENDIDIKAN TAMBUSAI Care : Jurnal Ilmiah Ilmu Kesehatan GERVASI: Jurnal Pengabdian kepada Masyarakat JENTERA: Jurnal Kajian Sastra Jurnal Humaniora : Jurnal Ilmu Sosial, Ekonomi dan Hukum MONSU'ANI TANO Jurnal Pengabdian Masyarakat Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Journal of Electronics, Electromedical Engineering, and Medical Informatics Multilingual Ghancaran: Jurnal Pendidikan Bahasa dan Sastra Indonesia Jurnal Sosial Humaniora Sigli Bubungan Tinggi: Jurnal Pengabdian Masyarakat Moderasi; Jurnal Studi Ilmu Pengetahuan Sosial International Journal of Engineering, Science and Information Technology Jurnal Ilmiah Kebidanan Imelda Jurnal EduHealth Green Intelligent Systems and Applications Jurnal Gramatika: Jurnal Penelitian Pendidikan Bahasa dan Sastra Indonesia SI-MEN (AKUNTANSI & MANAJEMEN) STIES Proceeding National Conference Business, Management, and Accounting (NCBMA) Jurnal Dinamika Akuntansi dan Bisnis (JDAB) Jurnal Edukasi dan Pengabdian kepada Masyarakat (JEPKM) Jurnal Rekayasa elektrika Jurnal INFOTEL PROSIDING SEMINAR NASIONAL DAN INTERNASIONAL HIMPUNAN SARJANA-KESUSASTRAAN INDONESIA Jurnalistrendi: Jurnal Linguistik, Sastra dan Pendidikan Jurnal Polimesin Journal of Social Work and Science Education Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Akademika Baiturrahim Jambi Al-Tadris: Jurnal Pendidikan Bahasa Arab Aksara Jurnal Pengabdian Rekayasa dan Wirausaha Nawadeepa: Jurnal Pengabdian Masyarakat Indonesian Journal of English Language Teaching and Applied Linguistics Sawerigading
Yunidar
Universitas Tadulako Jalan Soekarno Hatta, Tondo, Mantikulore, Kota Palu, Sulawesi Tengah
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Design of IoT-Based Battery Monitoring for DC Backup Yunidar, Yunidar; Fathurrahman, Fathurrahman; Melinda, Melinda; Azra, Ery; Malahayati, M.; Elizar, Elizar
Green Intelligent Systems and Applications Volume 4 - Issue 2 - 2024
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v4i2.528

Abstract

The battery monitoring process for the DC backup power supply at the Banda Aceh Main Substation was previously performed manually using a multimeter, leading to inefficiencies. This study aimed to develop an automated battery monitoring system based on the Internet of Things (IoT) to enhance operational efficiency. The proposed system integrated a DC voltage sensor (voltage divider) connected to the battery and an INA219 sensor to measure current flow during battery usage. A NodeMCU ESP8266 microcontroller, programmed with the Arduino IDE, served as the main data processor and internet interface. Monitoring data was transmitted to officers via an IoT-based cloud server on the Blynk platform. The system was tested using eight NiCd 1.2 V battery cells arranged to simulate the substation setup. The resulting prototype automated daily battery monitoring, significantly improving the efficiency and effectiveness of the monitoring process.
PID Controller Implementation on Animal Experimental Treadmill for Heart Medicine Purpose Melinda, Melinda; Ridwan, Muhammad; Nurbadriani, Cut Nanda; Yunidar, Yunidar
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 4, November 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i4`.1762

Abstract

Experimental animals such as rats are often used for medical research and therapy, such as cardiologists who use a special treadmill to measure the heart health of rats by training walking or running in order to determine the appropriate dose for individuals before being applied to their patients. This research designed a system that is operated by the speed of a DC motor. To control the system, it is proposed to implement a Proportional Integral Derivative (PID) control that is able to stabilize the rotation of the DC motor based on the BPM value recorded by the encoder sensor. The value is used as feedback to the PID control, so that it can control the speed of the DC motor and work optimally and stably under load or no load. Adding a limit switch as a fatigue zone to determine the final duration. This system was tested on several objects, namely 4-month-old rats with a mass of 211 grams, 224 grams, 230 grams, and 240 grams and 2-month-old rats with a mass of 24 grams, 27 grams, 28 grams, and 30 grams. The results show that the speed reading using PID control is in accordance with the constants Kp = 17, Ki = 7, and Kd = 1. This test has a percentage overshoot (%) of 5% and an average rise time value of 0.14 seconds. System performance with a percentage accuracy of 90% starting from a setpoint of 35 m/min.
Classification of Arrhythmic and Normal Signals using Continuous Wavelet Transform (CWT) and Long Short-Term Memory (LSTM) Yunidar, Yunidar; Melinda, Melinda; Azmi, Ulul; Bashir, Nurlida; Nurbadriani, Cut Nanda; Taqiuddin, Zulfikar
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 9, No. 2, May 2024
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v9i2.1917

Abstract

An electrocardiogram (ECG) can detect heart abnormalities through signals from the rhythm of the human heartbeat. One of them is arrhythmia disease, which is caused by an improper heartbeat and causes failure of blood pumping. In reading ECG signals, a common problem encountered is the uncertainty of the prediction results. An accurate and efficient heart defect classification system is needed to help patients and healthcare providers carry out appropriate therapy or treatment. Several studies have developed algorithms that are more effective in Machine Learning (ML) in automatically providing initial screening of patients' heart conditions. This study proposed the Long Short-Term Memory (LSTM) method as a classifier of heart conditions experienced by humans and Continuous Wavelet Transform (CWT) as a feature extractor to eliminate noise during data collection. CWT and LSTM methods are believed to perform well in feature extraction and classification of ECG signals. The dataset used in this study was taken from the MIT-BIH Arrhythmia Database. The results of this study successfully extracted ECG signals using CWT, thus improving the understanding of ECG characteristics. This research also succeeded in classifying ECG signals using the LSTM method, which obtained an accuracy training value of 98.4% and an accuracy testing value of 94.42 %.
PENCEGAHAN PERUNDUNGAN MELALUI LITERASI EDUKASI PADA MUSYAWARAH GURU MATA PELAJARAN BAHASA INDONESIA SMP DI KOTA PALU Yunidar, Yunidar; Ketut Alit Suputra, Gusti; Tahir, Moh.; Halifah, Nur
MONSU'ANI TANO Jurnal Pengabdian Masyarakat Vol. 7 No. 2 (2024)
Publisher : Universitas Muhammadiyah Luwuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32529/tano.v7i2.3545

Abstract

Kegiatan “Pencegahan Perundungan melalui Literasi Edukasi pada Musyawarah Guru Mata Pelajaran Bahasa Indonesia SMP di kota Palu” dilaksanakan untuk memberikan literasi edukasi pencegahan perundungan kepada guru sebagai penghubung yang akan memberi penyadaran dan pemahaman kepada siswa untuk mencegah terjadinya perundungan di sekolah.Upaya pencegahan perundungan diharapkan memberi pemahaman tentang linguistik forensik dan kesantunan berbahasa. Guru bahasa Indonesia di SMP kota Palu yang bernaung dalam MGMP berperan sebagai perantara untu menyampaikan cara berkomunikasi dengan menggunakan bahasa yang santun ke siswa agar dapat terhindar dari perundungan. Edukasi akan dikemas dalam bentuk pelatihan yang menggunakan model partisipatif. Keberhasilan kegiatan pengabdian ini diukur menggunakan pertanyaan tes awal dan tes akhir kegiatan. Pertanyaan yang diberikan melalui link googleform pada tes awal memperoleh nilai rata-rata 61,2 pada kategori sedang, selanjutnya pada tes akhir memperoleh nilai rata-rata 92,1 pada kategori sangat baik. Hal ini menunjukkan pemahaman awal peserta kegiatan pelatihan mengalami peningkatan setelah mengikuti rangkaian kegiatan pelatihan.
Portable Stress Detection System for Autistic Children Using Fuzzy Logic Melinda, Melinda; Setiawan, Verdy; Yunidar, Yunidar; Gopal Sakarkar; Nurlida Basir
JURNAL NASIONAL TEKNIK ELEKTRO Vol 13, No 2: July 2024
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v13n2.1203.2024

Abstract

Stress is prone to occur in children with autism. According to the study, around 85% of children who have autism suffer from anxiety disorders that can exacerbate their condition, leading to self-harm and harm to those in their vicinity. Heart rate, skin conductance, and finger temperature changes occur during stress. In this paper, we design a system to monitor heart rate, body temperature, and skin conductance to detect signs of stress. Subsequently, the measurement data is processed using the fuzzy logic (FL) method as a decision-maker algorithm. In particular, we use 64 fuzzy rules with membership functions for each parameter. Parameter measurement results will be displayed using a widget called Gauge, while stress conditions will be displayed using a label widget. The results will be displayed on the Blynk application with an IoT system and viewed remotely via Android devices. The test was conducted on five children aged 5-9 years with varying body conditions. From the test results, the mean accuracy of the heart rate sensor was 95.01%, the mean temperature sensor accuracy was 97.7%, and the mean conductance sensor accuracy was 93.75%. The stress levels range from a minimum of 25% to a maximum of 75%. These findings indicate that the developed tool has performed effectively, and it is feasible to monitor its operation remotely.
Object Segmentation in Stunted Face Images using Deeplabv3+ with Resnet-50 Yunidar, Yunidar; Melinda, Melinda; Irhamsyah, Muhammad
JURNAL NASIONAL TEKNIK ELEKTRO Vol 13, No 3: November 2024
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v13n3.1253.2024

Abstract

Stunting is the impaired growth and development that children experience from poor nutrition, repeated infection, and inadequate psychosocial stimulation. This study explores the impact of data preprocessing, specifically using DeepLabV3+ segmentation, on the performance of ResNet-50 in classifying stunting and non-stunting facial images. Initially, ResNet-50 achieved 99% accuracy and a 3.22% loss with the unsegmented dataset. By applying DeepLabV3+ to remove irrelevant features and backgrounds, the model's performance improved to a perfect 100% accuracy and a reduced loss of 0.45%. These results underscore the importance of high-quality data preprocessing in enhancing model precision and reliability. The findings have significant implications for practical applications, particularly in medical imaging, where improved diagnostic accuracy can benefit patient outcomes. Further research is recommended to explore additional preprocessing methods and their effects on model performance across diverse domains. This study highlights the transformative potential of effective data preprocessing in optimizing deep learning models for more accurate and reliable machine learning solutions.
TOURISM CIRCULARITY AND VALUE CREATION: A BRAND-NEW OFFERINGS FROM TOURISM DESTINATION IN INDONESIA Sijabat, Ferdi Nazirun; Nurbismi, Nurbismi; Maulida, Zenitha; Yunidar, Syafira
Proceeding National Conference Business, Management, and Accounting (NCBMA) 7th National Conference Business, Management, and Accounting
Publisher : Faculty of Economics and Business Universitas Pelita Harapan

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

Abstract

This article aims to overview the opportunity to deliver a brand-new offering from tourism destination that is tourism circularity. Whereby, destination management organization might set a purposeful goal of making destination leaner toward generating circular value creation from each industrial players and stakeholders. Besides, the circularity value of tourism may also contribute to reducing waste and lasting the use of resources within tourism and hospitality industry.  Literature review was used as a method by collecting articles relating to tourism and circular economy and value creation to enable to develop a solid understanding on its relationship. This article is to contribute to the extension of discourses and implementation of circular economy value creation for tourism destination in Indonesia. An adopted model of stakeholder value creation and tourism circular economy were developed in a way to produce a brand-new offering.
Struktur dan Pola Vitalitas Bahasa pada Mahasiswa Beretnis Kaili di Universitas Tadulako Yunidar Yunidar; Tamrin Tamrin; M. Asri B; Abdul Kamaruddin; Nursyamsi Nursyamsi; Gusti Alit Suputra
Aksara Vol 35, No 1 (2023): AKSARA, EDISI JUNI 2023
Publisher : Balai Bahasa Provinsi Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29255/aksara.v35i1.1247.116--124

Abstract

This study aims to (1) describe the structure and vitality patterns of the Kaili language in the family domain and (2) describe the factors that cause the helplessness of the Kaili language in the family domain of the Kaili ethnic students. The method used in this research is qualitative and quantitative. Data collection techniques through questionnaires, interviews, and observation as the main data collection tools. Data processing techniques and data analysis were carried out based on data trends regarding the structure and pattern of the use of the Kaili language in the family domain. From the results of the study it is known that the use of the Kaili language among students of the Kaili ethnicity at Tadulako University in the family sphere has burdened their vitality which tends to decrease and indicates extinction. This is because most of them use Indonesian and some use foreign languages. There are several factors that shift the use of the Kaili language to Indonesian and foreign languages, namely; (1) prestige factors, (2) function factors, (3) information and technology factors, and (4) a positive attitude weakens the Kaili language. AbstrakPenelitian ini bertujuan untuk (1) mendeskripsikan struktur dan pola daya hidup bahasa Kaili pada ranah keluarga dan (2) mendeskripsikan faktor penyebab tidak berdayanya bahasa Kaili dalam ranah keluarga mahasiswa yang beretnis Kaili. Metode yang digunakan dalam penelitian ini adalah kualitatif dan kuantitatif. Teknik pengumpulan data melalui kuesioner, wawancara, dan pengamatan sebagai alat pengumpul data utama. Teknik Pengolahan data dan analisis data dilakukan berdasarkan kecenderungan data tentang struktur dan pola penggunaan bahasa Kaili di ranah keluarga. Dari hasil penelitian ditemukan bahwa penggunaan bahasa Kaili pada mahasiswa beretnis Kaili di Universitas Tadulako pada ranah keluarga telah melemah daya hidupnya menurun cenderung dan menunjukkan kepunahan. Hal itu disebabkan sebagian besar mereka menggunakan bahasa Indonesia dan beberapa diantaranya ada yang menggunakan bahasa asing. Ada beberapa faktor yang menggeser penggunaan bahasa Kaili ke bahasa Indonesia dan bahasa asing, yaitu (1) faktor prestise, (2) faktor fungsi guna, (3) faktor teknologi dan informasi, dan (4) sikap positif melemah terhadap bahasa Kaili.
PENGARUH PELATIHAN DAN PENGALAMAN KERJA TERHADAP KREATIVITAS KERJA KARYAWAN PADA KANTOR PLN UP3 BANDA ACEH Masyithah, Syarifah Mauli; Jumeil, T Muhammad; Yunidar, Syafira; Vilzati, Vilzati
Jurnal Sosial Humaniora Sigli Vol 7, No 1 (2024): Juni 2024
Publisher : Universitas Jabal Ghafur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47647/jsh.v7i1.2639

Abstract

This research aims to analyze the influence of training and experience on employee work creativity at the PLN UP3 Banda Aceh Office. The sample size for this research was 54 employees. The results of the partial test research showed that the training variable had an influence on employee work creativity at the PLN UP3 Banda Aceh Office. The work experience variable influences employee work creativity at the PLN UP3 Banda Aceh Office. Then the Simultaneous Test between training and work experience variables influences employee work creativity at the PLN UP3 Banda Aceh Office. Partially, training has an effect on employee work creativity at the PLN UP3 Banda Aceh Office with a value of tcount (6,554) which is greater than ttable (1,645). Partially, work experience has an influence on employee work creativity at the PLN UP3 Banda Aceh Office with a value of tcount (2,324) which is greater than ttable (1,645). Simultaneously, training and work experience influence employee work creativity at the PLN UP3 Banda Aceh Office with a value of Fcount (41,805) greater than Ftable (3,00).Keywords: Training, Work Experience, Employee Work Creativity
CNN Performance Improvement for Classifying Stunted Facial Images Using Early Stopping Approach Yunidar, Yunidar; Yusni, Y; Nasaruddin, N; Arnia, Fitri
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 1 (2025): February 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i1.6068

Abstract

Stunting, a condition characterised by short stature, is a growth disorder caused by chronic malnutrition, which often begins in the womb. Children affected by stunting usually show different physical and cognitive characteristics compared to their peers. Research shows that these physical differences can also be observed in facial features. Because faces provide important information and are commonly studied in digital image processing, in this study, we will compare the facial image classification performance of stunted children versus normal children using various Convolutional Neural Network (CNN) architectures. The evaluated architectures include MobileNetV2, InceptionV3, VGG19, ResNet18, EfficientNetB0, and AlexNet. To improve the learning process, augmentation techniques with Haar cascade and Gaussian filters were applied so that the data set increased from 1,000 to 6,000 images. After adding the dataset, training is carried out with an early stop approach to minimise overfitting. The main aim of this research is to identify the CNN model that is most effective in differentiating facial images of stunted children from normal children. The results show that the EfficientNetB0 architecture outperforms other models, achieving 100% accuracy. Early stopping has been shown to improve training efficiency and help prevent overfitting.
Co-Authors . Roslidar Abdul Kamaruddin Acula, Donata D Acula, Donata D. Ade Nurul Izatti G. Yotolembah Akbar Akbar Akbar, Muhazir Albahri, Albahri Alfariz, Muhammad Fauzan Ali Karim Ali Karim Ali Karim Amalia Amalia Aman Aman Amrie Firmansyah Andi Safutra Suraya Anizar, Lis Arini Nurazizah Arum Pujining Tyas Arum Pujiningtyas Asniar Asniar Asrianti, Asrianti Azhari, Rizki Aziz, Zulfadli Abdul Azra, Ery Bashir, Nurlida Basir, Nurlida Christi L., Rita Cindy Afitasari Cut Dewi, Cut D Acula, Donata Darmawan Darmawan Daud, Bukhari Dian Safitri Dwi Yunita Efendi Elfalini Warnelis Elizar Elizar, Elizar Fahmi Fahmi Farhan Fathur Rahman, Imam Fathurrahman Fathurrahman Fauzan, Arfan Fauziah Gusvita Syarah Femmy Jacoba Ferdi Nazirun Sijabat, Ferdi Nazirun Ferdinand, Frans Fitri Arnia Gazali Lembah Ghimri, Agung Hilm Golar Golar Gopal Sakarkar Gusti Alit Saputra Gusti Alit Suputra Gusti Ketut Alit Suputra Harisa, Sitti Hasan, Hafidh Hasan, Vania Pratama Hasriani Muis Heltha, Fahri Herlina Dimiati, Herlina Hidayat Hidayat I Gusti Ketut Alit Saputra I Ketut Agung Enriko I Made Sukanata Ida Nuraeni Indarwati , Retno Indra Indra Irdawati Irdawati Islamy, Fajrul Jayanti Puspita Dewi Joko Pitoyo Jumeil, T Muhammad Juniati Juniati Karlisa Priandana Khairah, Alfita Khairia, Syaidatul Khairunnisa Bakari Khairunnisa Bakari Laguliga, Syapril A. Lailatul Qadri Zakaria Lantuba, Yanis Men Leo, Hendrik Luluk Khusnul Dwihestie M Asri B M. Asri B Malahayati, M. Masyithah, Syarifah Mauli Maulida, Zenitha Maulisa, Oktiana Melinda Melinda Miftahujjannah, Rizka Mina Rizky, Muharratul Misbahuddin Misbahuddin Moh. Tahir Moh. Tahir Mohd. Syaryadhi Mohd. Syaryadhi Muh Tahir Muhammad Irhamsyah Muhammad Muhammad Muhammad Ridwan Muna, Lia Aulial Mursidin . Muthia Aryuni Muttaqin, Ikram Nabila, Nissa Hasna Nasaruddin Nasaruddin Nazilla, Izza NFN Nursyamsi NFN TAMRIN Nirmayanti, Nirmayanti Nizam Salihin Nur Ahyani Nur Fadilah Nur Halifah Nur Halifah, Nur Nur'aeni, Ida Nuraedah Nurbadriani, Cut Nanda Nurbaya Nurbaya, Nurbaya Nurbismi, Nurbismi Nurlida Basir Nurrahmad, Nurrahmad Nursyamsi Nursyamsi Oktiana, Maulisa Pandaleke, Alex Y. Pertiwi, Rizqina Wahyu Laras Putri Mauliza, Putri Qadri Zakaria, Lailatul Rafiqi, Ashaf Rahmatika, Laily Raihan, Siti Ramadani, Nurhaliza Ramadhan, Irsyan Ramadhani, Hanum Aulia Ramdhana, Rizka Rhamdhani, Rhamdhani Ridara, Rina Rini Safitri Roslawa, Roslawa Sabiran, Sabiran Sadia, Fachrudin Saharudin Barasandji Sahrul Saehana Sakarkar, Gopal Salsabila, Unik Hanifah Samad, Muhammad Ahsan Santi Santi Sarmin Sarmin Sarmin Sarmin Satria Satria, Satria Setiawan, Verdy Siti Fatinah Siti Rusdiana Sitti Harisah Sri Jelis Suci Rahayu Suharja, Anggi Auliyani Sukma, Sukma Suyanda, Arya Syahyadi, Rizal Syakir, Fakhrus Syamsuddin Syamsuddin Tamrin Tamrin Tamrin Tamrin Tanjung, Wilda Nurafdila Tiara Artamefia Ulfah Ulinsa, Ulinsa Ulinsa, Ulinsa Ulul Azmi Vilzati, Vilzati Wachidi, Achmad Wahyuni, Silvya Dwi Wardana, Surya Wong, W.K Wong, W.K. Yazid Yaskur Yudha Nurdin Yusni, Y Yuwaldi Away Zainab Zainal, Zulfan Zulfikar Taqiuddin Zulhelmi, Zulhelmi Zulianto, Sugit