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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 Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Ranah: Jurnal Kajian Bahasa Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya JURNAL PENDIDIKAN TAMBUSAI Care : Jurnal Ilmiah Ilmu Kesehatan GERVASI: Jurnal Pengabdian kepada Masyarakat Sawerigading 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 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 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 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
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Universitas Tadulako Jalan Soekarno Hatta, Tondo, Mantikulore, Kota Palu, Sulawesi Tengah
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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.
Studi Empiris tentang Hubungan antara Kepuasan Kerja, Efikasi Diri, dan Kinerja Pegawai di Kementerian Agama Banda Aceh Masyithah, Syarifah Mauli; Jumeil, T Muhammad; Yunidar, Syafira; Nurrahmad, Nurrahmad
Jurnal Humaniora : Jurnal Ilmu Sosial, Ekonomi dan Hukum Vol 9, No 1 (2025): April 2025
Publisher : Center for Research and Community Service (LPPM) University of Abulyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30601/humaniora.v9i1.6389

Abstract

The objective of this study is to determine the influence of job satisfaction and self-efficacy, both partially and simultaneously, on the performance of employees at the Ministry of Religious Affairs Office in Banda Aceh City. The sample size for this study consists of 98 respondents. The research method employed is quantitative. Data were collected through questionnaires and analyzed using a multiple linear regression model. Hypothesis testing was conducted using multiple linear regression analysis, F-test, and t-test to determine the partial and simultaneous effects of the independent variables on the dependent variable. The results of the study indicate that job satisfaction has a significant partial effect on employee performance at the Ministry of Religious Affairs Office in Banda Aceh City. Self-efficacy, on the other hand, does not have a significant partial effect on employee performance at the same office. However, job satisfaction and self-efficacy together have a very significant simultaneous effect on employee performance at the Ministry of Religious Affairs Office in Banda Aceh City. The conclusion based on the simultaneous test shows that job satisfaction and self-efficacy together have a very significant effect on employee performance at the Ministry of Religious Affairs Office in Banda Aceh City.
Classification of Arrhythmia Electrocardiogram Signals Using Kernel Principal Component Analysis and Naive Bayes Melinda, Melinda; Farhan; Irhamsyah, Muhammad; Miftahujjannah, Rizka; D Acula, Donata; Yunidar, Yunidar
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 10, No. 3, August 2025
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v10i3.2219

Abstract

Arrhythmia is a cardiovascular disorder commonly detected through electrocardiogram (ECG) signal analysis. However, classifying arrhythmias based on ECG signals remains challenging due to signal complexity and individual variability. This study aims to develop a more accurate and efficient method for arrhythmia classification. The proposed method utilizes Kernel Principal Component Analysis (KPCA) and the naïve Bayes algorithm to classify arrhythmic ECG signals. KPCA is chosen for its ability to reduce data dimensionality, facilitating the processing of complex ECG signal and improving classification accuracy by minimizing noise. The naïve Bayes algorithm is chosen for its simplicity and computational speed, as well as its effective performance, even with limited data. ECG signals are processed using KPCA to reduce data dimensionality and extract relevant features. Subsequently, the naïve Bayes algorithm is then applied to classify the ECG signals into four categories: Premature Atrial Contraction (PAC), Premature Ventricular Contraction (PVC), Left Bundle Branch Block (LBBB), and Right Bundle Branch Block (RBBB).  The model's performance is evaluated using metrics such as accuracy, sensitivity, specificity, precision, and F1-score. The naïve Bayes model achieves an overall accuracy of 97.67%, with the highest performance observed in the RBBB class at 99.33%. Additionally, the F1-scores across all classes range from 96.62% to 98.57%, demonstrating the model's capability in detecting arrhythmias effectively. These results indicate that the combination of KPCA and naïve Bayes is effective for arrhythmic ECG signals classification.
Implementation of Discrete Wavelet Transform and Xception for ECG Image Classification of Arrhythmic Heart Disease Patients Irhamsyah, Muhammad; Melinda, Melinda; Yunidar, Yunidar; Muttaqin, Ikram; Zakaria, Lailatul Qadri
JURNAL INFOTEL Vol 17 No 2 (2025): May
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i2.1341

Abstract

The electrocardiogram (ECG) is one of the most important methods in the process of diagnosing heart disease. Visualizes the voltage and time relationship of the electrical activity of the heart. Cardiovascular or heart disease can be classified into several types, one of which is arrhythmia, a condition that involves changes in heartbeat rhythm, either too fast or too slow at rest. This study aims to develop a cardiac arrhythmia classification model using Deep Wavelet Transform (DWT) and Xception. It was evaluated on 2,200 spectrogram samples from the MIT-BIH dataset, containing normal and arrhythmia classes. The process compared epochs 30, 50, and 100 with learning rates of 0.001 and 0.0001 using cross-validation. Data were converted into spectrogram images for classification with Xception. The highest accuracy, 99.79%, was achieved at epoch 100 with a 0.0001 learning rate. Then, the highest precision occurs when the epoch is 50 with a learning rate of 0.001 and 0.0001, which is 100%. Lastly, Xception performed very well in the ECG image classification. This advantage demonstrates the ability of the model to recognize complex patterns in ECG data more effectively, increasing the reliability of arrhythmia detection. In addition, using DWT as a feature extraction technique allows better signal processing,which contributes to optimal results.
Psikologi Komunikasi dalam Meningkatkan Dakwah Da’i di Masjid Fajar Ikhlas Kelurahan Sumberejo Kecamatan Kemiling Mutia Yanti, Yunidar Cut
AL-ADYAN Vol 12 No 2 (2017): Al-Adyan: Jurnal Studi Lintas Agama
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajsla.v12i2.2112

Abstract

Communication psychology explains about how to communicate well by taking a psychiatric approach to his mad'u. Because by mastering the psychology of communication, a preacher can adjust the material and the way the delivery of preaching to his madam. So that an effective da'wah can occur. For this, a preacher must use the science of communication psychology in order to be able to understand the state or psychology of his mad'u. Because basically a person's psyche is different, therefore it takes a way to communicate or convey messages in different ways. So an effective da'wah will occur. The research method used is field research (research that is conducted directly in the field or the respondent. The population and sample in this study are the preachers and members of the Ikhlas Fajar Council. From the results of this study it can be seen that the Da'i at the Fajar Ikhlas Mosque, the Da'i have not fully used the science of Communication Psychology, therefore the preaching it delivered was less effective.
The Role of Indonesian Language Learning in Facilitating a Multicultural Classroom at Junior High School Ramadani, Nurhaliza; Ulfah; Yunidar; Nur'aeni, Ida
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 13 No. 1 (2025): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v13i1.7204

Abstract

This study aims to analyze how the role of Indonesian language learning as the main communication tool and unifier in multicultural classes at Junior High School. The type of research used is qualitative research. The method used in this research is descriptive method. The data collection techniques used in this research are: 1) Observation, 2) Interview, and 3) documentation. Data analysis techniques used in this research are data reduction, data presentation and conclusion drawing. Based on the results of research on the role of Indonesian language in Junior High School, researchers see the role of Indonesian language learning in multicultural classes can be seen from how to facilitate cultural interaction through the short story "Dia Berbeda" which has a multicultural context that raises multicultural themes, opening space for students to get to know other cultures through stories and characters. Through short stories that contain conflicts and resolutions related to cultural, religious, or social differences, learners are invited to recognize the importance of accepting and understanding each other which strengthens the sense of tolerance between people. Researchers can conclude that the role of Indonesian language learning in multicultural classes can facilitate intercultural interaction through inclusive expression, foster a sense of tolerance through emotional and reflective experiences of the stories read and increase understanding of multiculturalism by presenting the reality of diversity in a form that is close to the lives of students. Not only by learning works of fiction but all Indonesian language learning plays an important role in the multicultural classroom.
EEG Performance Signal Analysis for Diagnosing Autism Spectrum Disorder using Butterworth and Empirical Mode Decomposition Fathur Rahman, Imam; Melinda, Melinda; Irhamsyah, Muhammad; Yunidar, Yunidar; Nurdin, Yudha; Wong, W.K.; Zakaria, Lailatul Qadri
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 3 (2025): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i3.788

Abstract

Electroencephalography (EEG) is a technique used to measure electrical activity in the brain by placing electrodes on the scalp. EEG plays an essential role in analyzing a variety of neurological conditions, including autism spectrum disorder (ASD). However, in the recording process, EEG signals are often contaminated by noise, hindering further analysis. Therefore, an effective signal processing method is needed to improve the data quality before feature extraction is performed. This study applied the Butterworth Band-Pass Filter (BPF) as a preprocessing method to reduce noise in EEG signals and then used the Empirical Mode Decomposition (EMD) method to extract relevant features. The performance of this method was evaluated using three main parameters, namely Mean Square Error (MSE), Mean Absolute Error (MAE), and Signal-to-Noise Ratio (SNR). The results showed that EMD was able to retain important information in EEG signals better than signals that only passed through the BPF filtration stage. EMD produces lower MAE and MSE values than Butterworth, suggesting that this method is more accurate in maintaining the original shape of the signal. In subject 3, EMD recorded the lowest MAE of 0.622 compared to Butterworth, which reached 20.0, and the MSE value of 0.655 compared to 771.5 for Butterworth. In addition, EMD also produced a higher SNR, with the highest value of 23,208 in subject 5, compared to Butterworth, which reached only 1,568. These results prove that the combination of BPF as a preprocessing method and EMD as a feature extraction method is more effective in maintaining EEG signal quality and improving analysis accuracy compared to the use of the Butterworth Band-Pass Filter alone.
Co-Authors . Roslidar Abdul Kamaruddin Acula, Donata D Acula, Donata D. Ade Nurul Izatti G. Yotolembah Akbar Akbar Akbar, Muhazir Alfariz, Muhammad Fauzan Ali Karim Ali Karim Ali Karim Amalia Amalia Aman Aman Amrie Firmansyah Andi Safutra Suraya Anizar, Lis Arini Nurazizah Asniar Asniar Azra, Ery Bashir, Nurlida Basir, Nurlida Christi L., Rita Cut Dewi, Cut D Acula, Donata Darmawan Darmawan Dian Safitri Dwi Yunita Elizar Elizar, Elizar Fahmi Fahmi Farhan Fathur Rahman, Imam Fathurrahman Fathurrahman 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 Hasriani Muis Hidayat Hidayat I Gusti Ketut Alit Saputra I Made Sukanata Ida Nuraeni Indarwati , Retno Indra Indra Irdawati Irdawati Jayanti Puspita Dewi Joko Pitoyo Jumeil, T Muhammad Juniati Juniati 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 Melinda Melinda Miftahujjannah, Rizka Mina Rizky, Muharratul Misbahuddin Misbahuddin Moh. Tahir Moh. Tahir Mohd. Syaryadhi Mohd. Syaryadhi Muhammad Irhamsyah Muhammad Muhammad Muhammad Ridwan Muna, Lia Aulial Mursidin . Muthia Aryuni Muttaqin, Ikram Nasaruddin Nasaruddin 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 Ramadani, Nurhaliza Ramadhan, Irsyan Ramdhana, Rizka Rhamdhani, Rhamdhani Ridara, Rina Roslawa, Roslawa Sabiran, Sabiran Sadia, Fachrudin Saharudin Barasandji Sahrul Saehana Sakarkar, Gopal Salsabila, Unik Hanifah Samad, Muhammad Ahsan Santi Santi Sarmin Sarmin Satria Satria, Satria Setiawan, Verdy Siti Fatinah Siti Rusdiana Sitti Harisah Sri Jelis Suci Rahayu Suharja, Anggi Auliyani Suyanda, Arya Syamsuddin Syamsuddin Tamrin Tamrin Tamrin Tamrin 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