Article Per Year (5 Year)
p-Index From 2021 - 2026
5.563
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Ekonomi (JUPE) JAM : Jurnal Aplikasi Manajemen EDUNOMIC : JURNAL ILMIAH PENDIDIKAN EKONOMI FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN AMANNA GAPPA Jurnal PAJAR (Pendidikan dan Pengajaran) Bisma: Jurnal Bisnis dan Manajemen Conference on Innovation and Application of Science and Technology (CIASTECH) Jurnal Pengabdian Magister Pendidikan IPA OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi JOURNAL OF SONGKE MATH JURNAL MANAJEMEN BISNIS Edutourism : Journal Of Tourism Reseach Paulus Law Journal Jurnal Teknologi Informatika dan Komputer Jurnal Teknik Informatika (JUTIF) Dwija Inspira: Jurnal Pendidikan Multi Perspektif Jurnal Manajemen Agribisnis dan Agroindustri Abdi Jurnal Publikasi Kreasi: Jurnal Inovasi dan Pengabdian Kepada Masyaraka Journal of Applied Business and Technology International Journal of Trends in Accounting Research Interconnection: An Economic Perspective Horizon MULTIPLE: Journal of Global and Multidisciplinary Neraca Manajemen, Akuntansi, dan Ekonomi Economic Education Analysis Journal Jurnal Pusat Kolaborasi Pengabdian Kepada Masyarakat Jurnal Ilmu Komputer Jurnal Publikasi Ekonomi dan Akuntansi
Sudarno
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

Published : 42 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 42 Documents
Search

 1   2   3   4   5 
Emotional Intelligence, Workload, and Cyberloafing on Organizational Commitment and Performance of Teachers at the Pelalawan High School Level Nyoto; Sudarno; Priyono; Surikin; Renaldo, Nicholas
Journal of Applied Business and Technology Vol. 4 No. 2 (2023): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v4i2.129

Abstract

Schools as the spearhead of education are required to improve the quality and quantity of learning outcomes. The number of problems in schools certainly cannot be separated from the concern of students, teachers, and education staff in achieving the school's vision and mission. This study aims to analyze the influence of emotional intelligence, workload, and cyberloafing on organizational commitment and performance of Indonesian language teachers at the Pelalawan high school level. The population of this study was all Indonesian language teachers at the high school level in Pelalawan Regency as many as 61 samples. This study used descriptive analysis and PLS Structural Equation Model analysis. The results of this study indicate that emotional intelligence is positively significant to organizational commitment, but not significant to teacher performance. The negative workload variable is not significant to organizational commitment but the positive is not significant to teacher performance. The cyberloafing variable is significantly positive on organizational commitment and not significantly negative on teacher performance.
Klasifikasi Berita Bahasa Indonesia Dengan Menggunakan Metode K-Nearest Neighbor Dan Naive Bayes Komariah Kukum Manieh Nuryasin; Taswanda Taryo; Sudarno
Jurnal Ilmu Komputer Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025)
Publisher : Universitas Pamulang

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

Abstract

In the era of rapid development of information technology, the need for a news classification system is crucial to manage the increasing volume of information. This study aims to develop a news classification system in Indonesian into five main categories: Politics, Economy, Health, Security, and Poverty. The methods used include the K-Nearest Neighbor (KNN) algorithm and Naïve Bayes. The dataset consists of 2,000 news items obtained from Kaggle, with preprocessing stages including cleaning, tokenizing, normalization, and TF-IDF weighting. The evaluation was carried out through three data sharing scenarios: 70%-30%, 80%-20%, and 90%-10%. The results showed that the KNN algorithm achieved the highest accuracy of 89% in the 80%-20% and 90%-10% scenarios, while Naïve Bayes produced the best accuracy of 78.66% in the 70%-30% scenario. KNN proved to be more reliable for data with balanced category distribution, while Naïve Bayes required further adjustment, especially for underrepresented data categories. This research provides significant contributions to the development of an automatic news classification system, which can be implemented to improve user experience in accessing information.
KLASIFIKASI PHISHING URL PADA WEBSITE BERBASIS METODE ENSEMBLE Bahrul Ulum; Taswanda Taryo; Sudarno
Jurnal Ilmu Komputer Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025)
Publisher : Universitas Pamulang

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

Abstract

This study analyzes the performance of ensemble learning algorithms in detecting phishing URLs using the PhiUSIIL Phishing URL dataset. The three algorithms compared are CatBoost, XGBoost, and LightGBM. The research stages include data preprocessing, data division into an 80:20 train-test split, and performance evaluation based on accuracy, precision, recall, and F1-score metrics. The results show that XGBoost has the best performance with an accuracy of 97.54% and an ROC AUC of 93.05%, followed by CatBoost with an accuracy of 97.46% and an ROC AUC of 92.94%. LightGBM, although it has lower performance, still shows good results with an accuracy of 96.99% and an ROC AUC of 91.85%. The data cleaning process successfully improves efficiency by eliminating irrelevant attribute analysis. This study confirms that ensemble algorithms can be implemented for the development of more effective and accurate phishing detection systems. XGBoost is recommended as the primary algorithm in detecting phishing threats in cybersecurity applications, thanks to its ability to handle large and complex data.
Peningkatan Hasil Tangkapan Nelayan Melalui Rekayasa Alat Bantu Berbasis Kearifan Lokal di Pesisir Sambuli. Abdullah; Hasnia Arami; Muslim Tadjuddah; Syamsul Kamri; Naslina Alimina; Ahmad Mustafa; Indrayani, Indrayani; Sudarno
Jurnal Pengabdian Magister Pendidikan IPA Vol 8 No 4 (2025): Oktober-Desember 2025
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v8i4.13363

Abstract

This research aims to increase the catch of traditional fishermen in Sambuli Village, Kendari City, by introducing and utilizing fishing aids such as coconut shell fish aggregating devices and artificial bait (jigs). The service method used is participatory action research (PAR) with the stages of socialization, training, field practice, and evaluation and mentoring. The results of the service show that coconut shell fish shelters are effective in concentrating fish, thus increasing catch productivity, while artificial bait helps to extend fishing time and location. Fishermen successfully adopted this technology independently, resulting in reduced operational costs and increased revenue. The participatory approach has proven effective in empowering fishing communities while also preserving aquatic resources. This research provides an innovative model that can be replicated for the sustainable development of traditional fisheries in other coastal regions.
The Effect of Academic Supervision and Organizational Culture on Teacher Performance Syahli Lastri1; Sudarno; Ajat Sudrajat
Jurnal PAJAR (Pendidikan dan Pengajaran) Vol. 7 No. 5 (2023): September
Publisher : Laboratorium Program Studi Pendidikan Guru Sekolah Dasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33578/pjr.v7i5.9491

Abstract

Every educational institution has the same goal to improve the quality of education. Teacher performance is one of the important factors in efforts to improve the quality of education, which can be influenced by academic supervision and organizational culture. In fact, the existing problem in the schools so far is that teacher performance is still not optimal. There are still teachers who are incompetent in learning and there are still a number of teachers who cannot maximize their teaching. Hence, the study aims to determine and analyze the effect of academic supervision and organizational culture on teacher performance. The research method is field research with a quantitative approach. The research sample is public junior high school teachers who are civil servants at the Pasir Penyu District in Indragiri Hulu. The research instrument used is a questionnaire. Data collection techniques are observation, interview, and questionnaire. Data analysis techniques consist of quantitative and qualitative analyses. The research results reveal that academic supervision and organizational culture have a significant effect on teacher performance at public junior high schools in Pasir Penyu District with a positive effect direction. Thus, academic supervision and organizational culture factors support each other in maximizing teacher performance.
EDUKASI PLATFORM BMKG UNTUK PENINGKATAN LITERASI KEBENCANAAN DIGITAL SISWA SMA Yudha Rangga WP; Dhedy Listyawan; Jamaludin; Lina Adrianti; Ferry Yonathan; Budiman; Purnama Nugroho; Sudarno; Achmad Hindasyah
Abdi Jurnal Publikasi Vol. 4 No. 2 (2025): November
Publisher : Abdi Jurnal Publikasi

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

Abstract

Indonesia is highly vulnerable to hydrometeorological and geological disasters, but the understanding of disaster literacy among the younger generation, especially Generation Z, shows a significant gap. The purpose of this Community Service (PKM) activity is to improve the digital disaster literacy of students at Dua Mei Ciputat High School. The intervention method used was interactive education and structured practical training on the use of the official digital platform of the Meteorology, Climatology, and Geophysics Agency (BMKG), which includes the website (www.bmkg.go.id) and the InfoBMKG mobile application. The activity approach adopted a one-group pre-test post-test design, which included socialization, lectures, scenario-based training, simulations, and quantitative evaluations of 58 students. The results showed a statistically significant improvement: 62.1% of students who stated in the pre-test that they had “never” accessed the BMKG platform transformed in the post-test to 96.5% of participants who “knew” how to access and validate official information. This activity proved effective in improving practical skills and adoption of official digital platforms, bridging the gap between students' digital exposure and the use of credible information sources. The intervention successfully addressed the core problem, which was not a lack of digital skills, but rather a lack of awareness and initial recognition of credible platforms.
PELATIHAN FUN LEARNING DENGAN MENGGUNAKAN KECERDASAN BUATAN PADA PEMBELAJARAN EDUKATIF UNTUK SISWA SISWI DI SMP MUHAMMADIYAH 29 SAWANGAN Ilham Idfiana; Wahid Aldi Nugroho; Muhammad Akbar Chalil; Muhammad Suprihatin; Rizki Kurniandi; Muhammad Ilham Kurniawan; Irfan Saeful Bahri; Sudarno
Abdi Jurnal Publikasi Vol. 4 No. 3 (2026): Januari
Publisher : Abdi Jurnal Publikasi

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

Abstract

This Community Service activity carries the theme “Fun Learning Training Using Artificial Intelligence in Educational Learning for Junior High School Students.” This program aims to provide an interactive learning experience by utilizing AI chatbots and other AI-based applications to support general learning. This training involves basic theory on AI, demonstrations on the use of chatbots for subjects, hands-on practice in the form of interactive quizzes and storytelling, to creative mini projects. Through this activity, it is hoped that students will be more motivated to learn, understand how to use AI wisely, and improve their digital literacy. Of the 29 participants divided into 6 groups, all activities—from creating short stories with AI chatbots, visualizing images, to creating songs. These results confirm that the use of AI in educational learning can provide an interactive, enjoyable, and productive learning experience, while also opening up new insights for teachers in integrating modern technology into the learning process.
PENGARUH PENDIDIKAN KEWIRAUSAHAAN DAN LINGKUNGAN KELUARGA TERHADAP INTENSI BERWIRAUSAHA DIMODERASI OLEH EFIKASI DIRI PADA MAHASISWA PENDIDIKAN EKONOMI UNIVERSITAS SEBELAS MARET Elfara Septiani; Sudarno
OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi Vol 10 No 1 (2025): OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi
Publisher : Universitas Pasundan

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

Abstract

Penelitian ini bertujuan untuk mengetahui: (1) Pengaruh pendidikan kewirausahaan terhadap intensi berwirausaha pada mahasiswa; (2) Pengaruh lingkungan keluarga terhadap intensi berwirausaha pada mahasiswa; (3) Pengaruh pendidikan kewirausahaan terhadap intensi berwirausaha melalui efikasi diri pada mahasiswa; (4)Pengaruh lingkungan keluarga terhadap intensi berwirausaha melalui efikasi diri pada mahasiswa. Penelitian ini menggunakan jenis pendekatan kuantitatif. Populasi penelitian ini adalah mahasiswa aktif Pendidikan Ekonomi angkatan 2020-2021. Teknik pengambilan sampel yang digunakan adalah probability sampling berupa proportionated random sampling dengan sampel 142 responden. Teknik pengumpulan data menggunakan metode kuesioner dengan skala Likert yang disebarkan melalui google form. Analisis data yang digunakan adalah moderate regression analysis dengan menggunakan software SPPS 26. Hasil penelitian menyimpulkan bahwa: (1) Tidak terdapat pengaruh positif dan signifikan variabel pendidikan kewirausahaan terhadap intensi berwirausaha pada mahasiswa; (2) Terdapat pengaruh positif dan signifikan variabel lingkungan keluarga terhadap intensi berwirausaha pada mahasiswa; (3) Efikasi diri dapat memoderasi pendidikan kewirausahaan terhadap intensi berwirausaha pada mahasiswa; (4) Efikasi diri tidak dapat memoderasi lingkungan keluarga terhadap intensi berwirausaha pada mahasiswa.
Pengaruh pendidikan kewirausahaan, kompetensi profesional guru, dan efikasi diri terhadap minat wirausaha siswa Noercahyo, Aji; Sudarno; Setyowibowo, Feri
Jurnal Pendidikan Ekonomi (JUPE) Vol. 14 No. 1 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jupe.v14n1.p1-15

Abstract

Unemployment among vocational school graduates remained the highest in August 2023. This issue is one of the problems addressed in this study. The study aims to determine the influence of entrepreneurship education, teachers' professional competence, and self-efficacy on the entrepreneurial interest of students at SMK Muhammadiyah 3 Gemolong. This study employs a quantitative research design, with the study population consisting of 156 students in grades XI and XII at SMK Muhammadiyah 3 Gemolong for the 2024/2025 academic year, and a sample size of 113 students. The sampling technique used is simple random sampling. Data was collected using a questionnaire via Google Forms. This study uses multiple linear regression analysis, t-test, F-test, and coefficient of determination. The results of the study indicate that entrepreneurship education, teachers' professional competence, and self-efficacy influence students' entrepreneurial interest at SMK Muhammadiyah 3 Gemolong. The findings of this study can serve as additional knowledge regarding students' entrepreneurial interest in relation to entrepreneurship education, teachers' professional competence, and self-efficacy.
Analisis BERT dan LDA Untuk Ekstraksi Kebijakan Ekonomi Presiden Prabowo Subianto Muhammad Najwah; Sajarwo Anggai; Sudarno
Jurnal Ilmu Komputer Vol 4 No 1 (2026): Jurnal Ilmu Komputer (Edisi Januari 2026)
Publisher : Universitas Pamulang

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

Abstract

Economic policies introduced at the beginning of President Prabowo Subianto’s administration have generated diverse public discourses reflected in online media coverage. The large volume of textual data necessitates computational approaches to extract information systematically. This study aims to identify, label, and compare major economic policy topics using topic modeling techniques, namely Latent Dirichlet Allocation (LDA) and BERTopic.The dataset consists of 1,000 economic news articles collected through web scraping from an online news portal. Text preprocessing includes normalization, case folding, cleaning, tokenization, and lemmatization. LDA was implemented using a TF-IDF representation and evaluated with the Coherence Score (c_v). BERTopic employed IndoBERT embeddings, UMAP for dimensionality reduction, and HDBSCAN for hierarchical clustering, with evaluation based on topic coherence and semantic interpretability. The results show that LDA generated eight main topics with a Coherence Score (c_v) of 0.61, indicating moderate performance but limited semantic representation, leading to overlapping topics. In contrast, BERTopic produced nine main topics with a higher Coherence Score (c_v) of 0.72 and clearer, more contextual topic labels, including fiscal policy, energy, capital markets, and economic stimulus. Overall, BERTopic outperformed LDA in extracting and labeling economic policy topics due to its superior ability to capture semantic context and form stable topic clusters.
Co-Authors Abdullah Achmad Hindasyah Adi Imam Wahyudi Agusti, Nur Dana Candra Ahmad Mustafa Ajat Sudrajat Aliffansyah, Dhani Andriani, Hania Anggai, Sajarwo Anggraini Rahmawati, Meisi Annaastasia, Nurhuda Antono, Gilang Apringganingrum, Erlita Aslan Alwi, Aslan Asriyana, . Ayu Agustina, Niken Aziz, Mohammad Aldo BADRAPURA, CHENY AGSNA BAHRUL ULUM Baliningtyas, Nadia Selva Bayumurti, Adelia Brilliandra Dharma Satya, Muhammad Budiman Chasanah, Rochmatul Daud Adi Prasaja, Daud Adi Prasaja Dedy Oetama Dewi, Yuni Rosita Dhedy Listyawan Dian Muliasari Dini Octoria Djumahir Elfara Septiani Eva Sylvia Feri Setyowibowo Ferry Yonathan Haslianti Hasnia Arami Hasuba, Tezza Fauzan HERI SETYAWAN Hikmatul Fawziyah, Fika Hutahuruk, Marice Br Idrus, M. Syafi'i Ilham Idfiana Imam Syafganti INDRAYANI INDRAYANI Irfan Saeful Bahri Jali, Wa JAMALUDIN Kamila, Nurul Kamri, Syamsul Karim, Muhammad Said Kersiati KHOIRUL ANAM Komariah Kukum Manieh Nuryasin Kristiani La Ode M. Yasir Haya, La Ode M. La Ode Muhammad Arsal Lawelle, Sjamsu Alam Lina Adrianti Makhsun Mangurana, Wa Ode Intiyani Marice Br Hutahuruk MIFTACHUL JANNAH Muhammad Akbar Chalil Muhammad Ilham Kurniawan Muhammad Najwah Muhammad Sabandi Muhammad Suprihatin Muhammad Trial Fiar Erawan Mujiono Mulyono, Resha Dwi Ayu Pangesti Munirah Muslim Tadjuddah Naslina Alimina Nicholas Renaldo Noercahyo, Aji Novi Wulandari Widiyanti Nur Achyani, Fatchan Nur Rohmah Nyoto Nyoto Pambudi, Feta Kukuh Pambudi, Titis Rena Siwi Panjaitan, Harry Pariduri, Fatmawati Permatahati, Yustika Intan Priyatna, Agus Priyono Purnama Nugroho Rahman, Sarli Rahmatika, Aulia Ridwan Rizki Kurniandi Septiya, Intan Setiyawan, Puri Sieghnorri, Anatasya Novi Sriadmitum, Ike Surikin SUTRISNO Syahli Lastri1 Taswanda Taryo Triyanto, Andy Ubud Salim Wa Jali Wahid Aldi Nugroho Wijaya, Evelyn Yudha Rangga WP