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All Journal JAM : Jurnal Aplikasi Manajemen EDUNOMIC : JURNAL ILMIAH PENDIDIKAN EKONOMI FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN AMANNA GAPPA Jurnal PAJAR (Pendidikan dan Pengajaran) Pendas : Jurnah Ilmiah Pendidikan Dasar 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 Pilar Teknologi : Jurnal Penelitian Ilmu-ilmu Teknik 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 Ilmu Komputer Jurnal Publikasi Ekonomi dan Akuntansi
Sudarno
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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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

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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

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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

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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.
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

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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.
Pengaruh Literasi Keuangan dan Perilaku Keuangan Terhadap Minat Berinvestasi Mahasiswa Pendidikan Ekonomi UNS Andriani, Hania; Kristiani; Sudarno
Jurnal Publikasi Ekonomi dan Akuntansi Vol. 4 No. 1 (2024): Januari: Jurnal Publikasi Ekonomi dan Akuntansi
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jupea.v4i1.2101

Abstract

This study aims to identify (1) the effect of financial literacy on the interest in investment of students in the UNS Economics Education Study Program, (2) the effect of financial behavior on the interest in investment of students in the UNS Economics Education Study Program, (3) the effect of financial literacy and financial behavior on the interest in investment of students in the UNS Economics Education study program. This research is a quantitative research method with a population of 165 students in the UNS Economics Education Study Program batches of 2019 and 2020. The sampling technique used was proportionate random sampling with the data collection method using a questionnaires and the data analysis used was multiple linear regression analysis. The results of this study indicate that (1) there is a positive and significant influence of financial literacy on the interest in investment of students in the UNS Economic Education study program. (2) there is a positive and significant influence of financial behavior on the interest in investment of students in the UNS Economic Education study program. (3) there is a positive and significant influence of financial literacy and financial behavior on the interest in investment of students in the UNS Economic Education study program.
Pemberdayaan Perempuan Pesisir melalui Pemanfaatan Limbah Kulit Kerang Menjadi Produk Bernilai Ekonomis guna Mendukung SDG's 5. Asriyana; La Ode Muhammad Yasir Haya; Sjamsu Alam Lawelle; Muhammad Trial Fiar Erwan; La Ode Muhammad Arsal; Sudarno
Jurnal Pengabdian Magister Pendidikan IPA Vol 9 No 2 (2026): April-Juni 2026
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v9i2.15186

Abstract

Pencapaian SDG’s 5 mengutamakan pertumbuhan ekonomi yang inklusif dan berkelanjutan sangat dipengaruhi oleh partisipasi perempuan dalam bekerja dan kewirausahaan. Pengembangan dan pemberdayaan Masyarakat pesisir perlu dilakukan untuk mendukung kegiatan perekonomian Masyarakat pesisir terutama dengan memanfaatkan hasil laut. Kerang memiliki nilai ekonomis yang efisien karena daging maupun cangkangnya dapat menghasilkan nilai ekonomi. Penggunaan cangkang kerang terbukti dapat mengurangi pencemaran lingkungan sekaligus menambah pemasukan. Tujuan dari kegiatan pengabdian ini adalah untuk memberdayakan Perempuan dalam rangka meningkatkan perekonomian. Kegiatan pengabdian masyarakat dilakukan di Balai Desa Lalowaru pada tanggal 21 April 2026, Konawe Selatan. Target utama kegiatan pengabdian adalah Ibu-Ibu pesisir desa Lalowaru. Kegiatan ini berlangsung lancar tanpa adanya kendala, seluruh peserta yang melakukan kegiatan ini sangat antusias. Melalui aktivitas kegiatan pengolahan limbah laut ini diharapkan Ibu-Ibu Masyarakat pesisir mendapatkan ilmu baru yang dapat digunakan untuk menambah pendapatan sehari-hari. Kegiatan ini juga dapat mengurangi tingkat pencemaran laut yang dapat merugikan ekosistem pesisir, sebagai upaya untuk meningkatkan sustainability of marine and fisheries.
Variasi Pengaruh Ruang Bakar Terhadap Briket Limbah Kulit Kakao Dan Tempurung Kelapa Mochamat Arif Efendi; Yongky Alamsyah; Izza Galang Pamungkas; Sudarno; Muhammad Hasan Basri; Doni Doni Dwi Susilo
JURNAL PILAR TEKNOLOGI Jurnal Ilmiah Ilmu Ilmu Teknik Vol. 11 No. 1 (2026): JURNAL PILAR TEKNOLOGI
Publisher : LPPM Universitas Merdeka Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33319/piltek.v11i1.247

Abstract

The increasing demand for energy at the national level has encouraged the development of renewable energy sources, including biomass briquettes. This study aims to analyze the characteristics of briquettes made from cocoa pod husk and coconut shell waste and to evaluate their influence on combustion chamber performance. The briquettes were produced through several stages, including carbonization for approximately 1.5 hours, grinding to a particle size of 60 mesh, and molding under a pressure of 100 kg/cm² using a starch binder with a ratio of 3:1. The results show that cocoa pod husk briquettes have an average density of 0.9575 g/cm³, influenced by a lignin content of 60.67%. These briquettes also exhibit low ash content (0.205%) and moisture content (0.1975%). In contrast, coconut shell briquettes have a lower moisture content of 0.046%, but a higher ash content of 3.058%. Both briquettes meet the SNI No.1/6235/2000 standard, with moisture content below 8%. However, despite their high calorific value, their application still faces thermal efficiency challenges due to suboptimal combustion chamber design, which results in uneven heat distribution. Therefore, optimizing combustion chamber geometry and air supply is essential.
PENGARUH PEMANFAATAN ARTIFICIAL INTELLIGENCE (CHATGPT DAN QUILLBOT) SERTA MOTIVASI BELAJAR TERHADAP PRESTASI AKADEMIK MAHASISWA PROGRAM STUDI PENDIDIKAN EKONOMI UNIVERSITAS SEBELAS MARET Sakuntala, Aurela Isma; Sudarno
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 02 Juni 2026 Press
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.60566

Abstract

The integration of Artificial Intelligence (AI) into higher education has become increasingly common alongside rapid digital transformation. Applications such as ChatGPT and QuillBot are widely used by university students to identify relevant references, strengthen their understanding of course materials, and facilitate the completion of academic assignments. The educational benefits of these technologies are influenced not only by the capabilities of AI systems but also by students' learning motivation, which determines how effectively such tools are utilized. This study examined the effects of AI utilization and learning motivation on the academic achievement of students in the Economic Education Study Program at Universitas Sebelas Maret. A quantitative approach employing an associative research design was implemented with 190 respondents selected through proportional random sampling. Data were obtained from questionnaires and documentation and analyzed using multiple linear regression. The findings indicate that both AI utilization and learning motivation positively influence academic achievement, while learning motivation contributes more substantially than AI utilization. These findings suggest that effective AI-supported learning should be accompanied by strong learning motivation to maximize students' academic achievement.
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 Doni Doni Dwi Susilo Eva Sylvia Feri Setyowibowo Ferry Yonathan Haslianti Hasnia Arami Hasuba, Tezza Fauzan HERI SETYAWAN Hikmatul Fawziyah, Fika Hutahuruk, Marice Br Idrus, M. Syafi'i Imam Syafganti INDRAYANI INDRAYANI Izza Galang Pamungkas Jali, Wa JAMALUDIN 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 Mangurana, Wa Ode Intiyani Marice Br Hutahuruk MIFTACHUL JANNAH Mochamat Arif Efendi Muhammad Hasan Basri Muhammad Najwah Muhammad Sabandi Muhammad Trial Fiar Erawan Muhammad Trial Fiar Erwan Mujiono Mulyono, Resha Dwi Ayu Pangesti Munirah Muslim Tadjuddah Naslina Alimina Nicholas Renaldo 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 Sakuntala, Aurela Isma Septiya, Intan Setiyawan, Puri Sieghnorri, Anatasya Novi Sriadmitum, Ike Surikin SUTRISNO Syahli Lastri1 Taswanda Taryo Triyanto, Andy Ubud Salim Wijaya, Evelyn Yongky Alamsyah Yudha Rangga WP