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All Journal Jurnal Ekonomi Syariah Teori dan Terapan Riau Journal of Computer Science Script Journal: Journal of Linguistic and English Teaching MAJALAH ILMIAH GLOBE Jurnal Penelitian Pendidikan IPA (JPPIPA) Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Inotera JURNAL TEKNOLOGI DAN OPEN SOURCE IJIES (International Journal of Innovation in Enterprise System) El-Barka: Journal of Islamic Economics and Business Jurnal Hutan Tropika Journal of Computer and Information System (J-CIS) Balanca : Jurnal Ekonomi dan Bisnis Islam Journal of Law, Poliitic and Humanities Revenue : Jurnal Ekonomi Pembangunan dan Ekonomi Islam Seminar Nasional Insinyur Profesional (SNIP) SATIN - Sains dan Teknologi Informasi Applied Science and Technology Research Journal RJOCS (Riau Journal of Computer Science) LOGIC : Jurnal Ilmu Komputer dan Pendidikan Al-Faiza: Journal of Islamic Education Studies Al-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Magister Ekonomi Syariah The Indonesian Journal of Computer Science Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Journal Technology Information and Data Analytic International Journal of Sustainable English Language, Education, and Science MADINA : Journal of Islamic Studies Vocational: Journal of Educational Technology Papsel Economic Journal
Herianto
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Interaksi Asupan Magnesium Harian pada Kram yang Dialami oleh Atlet Hand Ball: Penelitian Herianto; Eka Supriatna; Uray Gustian
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3349

Abstract

Cramps are a problem that athletes can experience, and this condition is commonly associated with various factors such as insufficient warm-up and stretching. Therefore, this research was conducted to examine the adequacy of magnesium from the perspective of the daily magnesium intake of athletes. The research sample consists of 14 athletes from the Pontianak City Handball Club, including 7 female and 7 male athletes. Data collection will be done using food recall questionnaires, activity recall questionnaires, and questionnaires about cramp occurrences in athletes. The data was analyzed using the Nutrisurvey application, and then the percentage of daily adequacy was calculated. The research results show that 92.86% of athletes have sufficient magnesium levels, while 7.14% are deficient. Regarding cramps experienced by athletes, 71.43% did not experience cramps, and 28.57% did. The research found that even athletes with sufficient daily magnesium levels still experienced cramps. In conclusion, even with sufficient daily magnesium intake, it cannot guaranty that the body will be free from injury and cramping issues.
Manajemen Strategi Pengembangan Pariwisata Terhadap Dunia Pendidikan Dan Perekonomian Masyarakat (Studi Kasus Pada Pelaku Usaha Wisata Pantai Tanjoh Desa Tanjung Luar) Nasihin, Sirajun; Ayatullah; Herianto
Al-Faiza : Journal of Islamic Education Studies Vol. 1 No. 1 (2023): OKTOBER
Publisher : Lembaga Pendidikan Al-Gafari

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

Abstract

Tanjoh Beach, Tanjung Luar Village is a village fisherman. His name is known Because as produces squid the largest in East Lombok. Then build dock 2 for needed transportation goods For support dock before. Name project development suddenly stalled without clarity. See the situation the, group aware tour local named Pokdarwis Tanjoh also took the initiative to take advantage and juggle the wharf area. Study This aim For know is development strategy management destination tour Tanjoh in the village of Tanjung Luar has an impact on repairing economics and improving the world of education in the village of Tanjung Luar. Study This characteristic descriptive qualitative. The sources of data used are primary data and secondary data. With the use method of data collection i.e. observation, interview, and documentation. Research results show that component development tourist consists of market analysis, utilization technology, development network cooperation, coordination sector support, promotion, monitoring, and evaluation program implementation. Development Tanjoh Beach tourism, Tanjung Luar Village provides impact to enhancement quality education child perpetrator businesses in tourist areas. The community of Tanjung Luar Village felt a significant impact in open opportunity businesses, opportunity business that consists of business selling food soft, and drink-in packaging, business service like service parking, renting boat, renting rubber tires or tool swimming, and services parking. Income received by the community from the results of business being carried out can sufficiently need family, education, and health.
University Student Responses to the Implementation of the Active Debate Method in the Pancasila Course Herianto; Marthaliakirana, Angsoka Dwipayana; Abdilah, Hayatining Suci
International Journal of Sustainable English Language, Education, and Science Vol. 2 No. 2 (2025)
Publisher : Universitas Kristen Cipta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71131/v0mz1393

Abstract

This study aims to determine student responses to the implementation of the active debate method in the Pancasila course. This research is quantitative and descriptive in nature. The subjects of this study were 131 students from the Faculty of Teacher Training and Education at Sultan Ageng Tirtayasa University. The instrument used was an online questionnaire employing a Likert scale (1-5). The research procedure involved asking students who had participated in the active debate method during the Pancasila course to complete an online questionnaire. The questionnaire results were analyzed using quantitative descriptive analysis to ascertain student responses to the use of the debate method. The findings indicate that student responses to the active debate method in the Pancasila course fall under the "Good" category. Student responses for each aspect are as follows: (1) Student activity and participation (Good category); (2) Understanding and analysis of ideological concepts (Good category); (3) Critical thinking and argumentation skills (Good category); (4) Communication and social attitudes (Very Good category); and (5) Effectiveness and general impression of the learning (Good category). It can be concluded that the active debate method is a viable option for lecturers teaching the Pancasila course, helping students gain a deeper understanding of the basic concepts of Pancasila ideology and encouraging active student participation in lectures.
An Integrated Machine Learning and Deep Learning Approach for Multiclass Flood Risk Classification with Feature Selection and Imbalanced Data Handling Irawan, Yuda; Refni Wahyuni; Herianto
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4639

Abstract

Floods are hydrometeorological disasters that often occur in tropical regions such as Indonesia and can have significant impacts on infrastructure, economy, and public health. This study aims to build and compare the performance of 21 artificial intelligence models, consisting of 15 Machine Learning algorithms and 6 Deep Learning architectures, in classifying flood risk levels based on multivariate tabular data. The dataset used includes 22 relevant environmental and social variables, with classification targets in four classes: Low, Moderate, High, and Very High. To improve data quality, feature selection was carried out using the LASSO method and class balancing with the SMOTEENN technique. The evaluation results showed that the C4.5, MLP, Random Forest, and Logistic Regression models obtained the highest accuracy (>94%), followed by deep learning models such as BiLSTM, CNN, and BiGRU with competitive accuracy (≥90%). Confusion matrix analysis confirmed the consistency of predictions across classes with a balanced distribution, especially in the decision tree and deep neural network models. This study emphasizes the importance of selecting a model that suits the characteristics of the data to achieve optimal predictions. The pipeline developed in this study is expected to be the basis for a more accurate and adaptive AI-based early warning system in mitigating flood risks in the future.
Utilization of IndoBERT Representation and Random Forest for Sentiment Analysis on User Reviews of Halodoc Pharmacy Services in Google Play Hendry Fonda; Herianto; Yuda Irawan
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4822

Abstract

With the growing use of digital healthcare platforms such as Halodoc, maintaining consistent service quality that meets user expectations is essential. User reviews on platforms like Google Play provide valuable insights into user perceptions. This study aims to classify user sentiments toward Halodoc’s pharmacy services based on reviews obtained through web scraping from the Google Play Store. The analysis employs the pre-trained IndoBERT model to extract textual features, followed by sentiment classification using the Random Forest algorithm. This combination was selected for its efficiency with limited hardware resources and small dataset size. To enhance data diversity and minimize overfitting, simple augmentation methods such as random word deletion and synonym substitution were implemented. The expected outcomes include an effective sentiment classification model and visualizations of sentiment distributions (positive, negative, neutral). Furthermore, the study contributes to the development of sentiment analysis techniques for Indonesian-language data through an efficient and contextually relevant approach. The research outputs target publication in a nationally accredited (Sinta 4) journal and Intellectual Property Rights (IPR) registration. Ultimately, this study is expected to support the improvement of technology-based pharmacy services through the strategic application of machine learning.
Co-Authors Abdilah, Hayatining Suci Adam Arif Budiman, Adam Arif Adrian Axel Yohannes Ahmad Makbul Ahmad Mujaffar Ahmad Syawaluddin Aji Setiawan Alva Edy Tontowi Alva Edy Tontowi Amar Ahmad Andi Ajeng Tenri Lala Andi Sudiarso Andi Susilo Astuti, Eka Yuni Ayatullah Ayu Susilawati, Endang Baba Barus Banu Santoso Denny Sukma Eka Atmaja Dhananjaya Yama Hudha Kumarajati Dikpride Despa Eka Supriatna Elysia, Shafa Febriana Sesunan, Mira Fonda, Hendry Gusnawati, Rina Hasbi Haslindah Heliawaty Hamrul, Heliawaty Irnandas, Muh Jaman, Najma Jusmiana, Andi Kurnianto, Atik Kusmono M. Ali Latif Amri Mabanja, Ashiraf MARDIANA Marthaliakirana, Angsoka Dwipayana Mira Harimurti Mohammad Ardyansah Muhammad Kusumawan Herliansyah MUHAMMAD YUSUF Musyrifah Nababan, Mangatur Rudolf Nadia Shalehah Nasution, Saddam Husein Nasyiya Nirwan Nur Hasanah Nur Syamsiyah Nurhidaya Nurpasila Nuwa Pramesti, Gita Prasetyo, Arya Adhari Purnamasari, Dian Septi Raden Rosnawati Raditya Fadhil Arva Ratna Widyawati Refni Wahyuni Renhart Jemi Rian Ordila Ritonga, Syahirul Alim Riyadi Santosa Romatua, Pittor Rustanto Sahmiar Pulungan Sarah Iftin Atsani Sari , Andira Sarlin Sirajun Nasihin, Sirajun Siti Aisyah Sugianto, Didik Suryani, Okta Susanto, Herry  Suzuki Syofian Syahirul Alim Ritonga Tenri Lala, Andi Ajeng Tenri Lala Timor Setiyaningsih, Timor Tri Mahardika, Bagus Uray Gustian Vincentius P Siregar Wangi Pandan Sari Wardani, Tri Ulfa Yahya Yuda Irawan Yudha, Afri YULISMAN