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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 JITK (Jurnal Ilmu Pengetahuan dan Komputer) 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 Jurnal Teologi Praktika 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 Eduscape: Journal of Education Insight 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 International Journal of Language, Education, and Literature (IJLEL) 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 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 Social Sciences Other

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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.
PELATIHAN COMPUTATIONAL THINKING BAGI GURU SMA/SMK MELALUI BAHASA PEMROGRAMAN PHYTON Herianto; Budiman, Adam Arif
JEPTIRA Vol 1 No 1 (2023)
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jep.v1i1.14

Abstract

Manusia memililki kemampuan komputasi alami seperti halnya mesin komputer. Hal ini diperlukan untuk menghadapi dan mengatasi masalah yang terjadi dalam kehidupan sehari-hari. Cara berpikir yag dimiliki ini dapat dioptimalkan dengan menerapkan metode yang disebut Computational Thinking atau berpikir komputasional. Berpikir Computational Thinking metode dalam menyelesaikan persoalan dengan menerapkan teknik dalam ilmu komputer. Pendekatan Computational Thinking ini apabila diterapkan pada siswa dalam proses pembelajaran maka akan membantu siswa untuk dapat melihat hubungan antara mata pelajaran dan kehidupan di luar kelas. Tujuan yang diharapkan adalah metode Computational Thinking ini dapat diimplementasi dalam proses belajar di sekolah yang nantinya akan membantu siswa untuk lebih berpikir secara komputatif dan kreatif serta merangsang daya pikir logis. Pada pelatihan ini digunakan Bahasa Pemrograman Phyton sebagai alat/tool untuk melatih daya pikir komputasional
Teaching Strategies for Students with Disabilities in Special Education Contexts: A Case Study at SLB Negeri Wonomulyo Herianto; Abdullah; Sakkir, Geminastiti
International Journal of Language, Education, and Literature Vol. 3 No. 1 (2026): January
Publisher : Program Studi Pendidikan Bahasa Inggris, Program Pascasarjana - Universitas Negeri Makassar.

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Abstract

This study examines vocabulary teaching strategies used by an English teacher in a special education setting for students with hearing impairments in Indonesia, specifically at SLB Negeri Wonomulyo. Vocabulary is a fundamental component of language learning; however, students with hearing impairments encounter particular challenges due to limited auditory access, restricted language exposure, and diverse learning characteristics. These conditions often affect students’ ability to understand, retain, and use new vocabulary effectively. Therefore, implementing inclusive and adaptive instructional strategies is essential to support effective vocabulary acquisition and meaningful language learning. A qualitative descriptive research design was employed to obtain an in-depth understanding of instructional practices in the classroom. Data were collected through classroom observations, in-depth interviews with the English teacher and teaching assistant, and documentation of teaching materials used during the learning process. The collected data were analyzed thematically to identify recurring instructional patterns, teaching procedures, and vocabulary teaching strategies applied in the classroom context. The findings reveal that vocabulary instruction is conducted through several integrated strategies. These include individualized instruction tailored to students’ ability levels, multisensory learning through visual media, printed pictures, gestures, and Total Physical Response (TPR), collaboration with a teaching assistant to support classroom instruction and student engagement, and step-by-step instruction reinforced through frequent repetition. In addition, the teacher prioritizes the selection of functional vocabulary closely related to students’ daily lives in order to enhance meaningful learning, improve comprehension, and encourage practical language use in real-life situations. The study highlights that effective vocabulary instruction for students with hearing impairments relies on flexible, student-centered, and collaborative teaching practices. The findings provide empirical evidence supporting inclusive English language teaching in special education contexts and offer practical implications for teachers, practitioners, and future researchers working with learners with hearing impairments.
Pancasila atau Radikalisme? Peran Pendidikan Kristen Dan Pemerintah Menanggulangi Gelombang Intoleransi Veronica; Herianto; Fatas Wahyuning S, Musa; Yeremia, Yeremia; Titin, Veronica; Herianto, Herianto
Jurnal Teologi Praktika Vol 6 No 2 (2025): Desember
Publisher : Sekolah Tinggi Teologi Tenggarong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51465/yfwj8164

Abstract

Radikalisasi merupakan ancaman serius bagi keutuhan bangsa Indonesia yang multikultural. Fenomena ini tidak hanya mengancam stabilitas sosial, tetapi juga mereduksi makna agama menjadi instrumen eksklusif yang dapat melahirkan intoleransi dan kekerasan. Oleh karena itu, diperlukan pendekatan komprehensif yang melibatkan  lembaga Pendidikan dan peran pemerintah mencegah radikalisme agama di Indonesia. Hasil analisis literatur menunjukkan bahwa radikalisasi dapat ditanggulangi secara lebih efektif apabila kebijakan negara dan peran ajaran Kristen dijalankan secara sinergis. Pemerintah menghadirkan kerangka regulatif, sedangkan iman Kristen menawarkan fondasi spiritual yang membentuk karakter Kristiani. Integrasi keduanya berkontribusi pada lahirnya masyarakat yang damai, inklusif, dan harmonis, serta memperkecil ruang gerak radikalisme di Indonesia yang masyarakatnya majemuk.
COMPARATIVE PERFORMANCE OF SEQUENTIAL CNN AND PRE-TRAINED LEARNING FOR 3D PRINTING DEFECT CLASSIFICATION Riyono, Dwi; Mawardi, Cholid; Herianto
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.7337

Abstract

3D Printing is currently needed in various industries, including education in terms of research development. In this study, researchers classify 3D printing defect images to recognize images that are difficult to see with the naked eye. With limited observation, an image classification method is needed to help users detect defects in the printing process with a Deep Learning model. The printing process uses PLA and ABS-based filament materials, which are mostly used in 3D Printing objects with fused deposition modeling (FDM)-based 3D Printer machines. In this study, there are several stages, including data augmentation, model development using sequential CNN, pre-trained CNN based with pre-trained models, namely VGG-16 and VGG-19, training, validation, and model evaluation. The dataset taken for training is 1557, with a ratio of 80 percent training and 20 percent validation between defective and non-defective objects. The results of this study have a good accuracy value on Sequential CNN with an accuracy of 99.68% compared to pre-trained CNN models, namely VGG-16 and VGG-19. The classification results are also compared with other additive manufacturing classification methods with different machines and materials such as metal and 3D Food Printing which are measured based on classification model optimization analysis
Implementation of Deep Learning in Teaching Factory as a Strategy for Enhancing Industrial Competencies: A Systematic Literature Review Herianto; Gunawan, Aditia Gustiana; Kamdi, Waras
Eduscape : Journal of Education Insight Vol. 4 No. 1 (2026): January 2026
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/eduscape.v4i1.1244

Abstract

The advancement of Industry 4.0 has significantly increased the demand for industrial competencies aligned with intelligent, data-driven manufacturing systems. Deep learning, as a core artificial intelligence technology, plays a critical role in smart factories, particularly in computer vision, predictive analytics, and automated decision-making. In parallel, the Teaching Factory model has emerged as a strategic educational approach to bridge the gap between vocational education and real industrial practices. This study conducts a Systematic Literature Review (SLR) on the integration of deep learning and pedagogical approaches within Teaching Factory and automated manufacturing learning environments, with a focus on industrial competency development. Using a structured and transparent review protocol, peer-reviewed journal articles were analyzed to identify instructional practices, learning theories, targeted competencies, and research methodologies. The review indicates that while Teaching Factory models emphasize production-based learning, deep learning has not yet been systematically embedded into their pedagogical frameworks. Existing studies predominantly address technical and cognitive competencies, with limited attention to transversal and employability competencies. Methodologically, the literature is largely dominated by conceptual frameworks and short-term case studies, underscoring the need for more empirical and longitudinal research. This review contributes by synthesizing current evidence, clarifying research gaps, and proposing directions for pedagogically grounded and industry-aligned Teaching Factory models that integrate deep learning to support comprehensive industrial competency development
PENINGKATAN MUTU BAHAN AJAR ONLINE UNTUK GURU-GURU MI/MTS AL-WATONIYAH Setiawan, Aji; Syofian, Suzuki; Tri Mahardika, Bagus; Herianto; Yahya
JEPTIRA Vol 1 No 1 (2023)
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jep.v1i1.10

Abstract

Setiap Perguruan Tinggi diwajibkan melaksanakan Tridharma Perguruan Tinggi. Tridharma perguruan tinggi ini adalah Pendidikan, Penelitian, dan Pengabdian Masyarakat. Pengabdian Masyarakat merupakan kewajiban yang harus dilaksanakan per semester, hal ini dilaksanakan berkaitan dengan kepedulian yang bergerak di bidang Pendidikan khususnya Pendidikan Tinggi dengan mengikuti perkembangan dan kemajuan teknologi. Keterampilan komputer merupakan keterampilan yang sangat diperlukan dalam berbagai pekerjaan khususnya dibidang multimedia. Bidang multimedia yang disampaikan pada pengabdian masyarakat ini antara lain: video editing dengan filmora, penggunaan whiteboard animation kontent kreatif, mengelola presentasi dengan power point, tools untuk pengajaran. Bidang keterampilan ini dibutuhkan untuk peningkatan kualitas bahan ajar online bagi guru-guru MI/MTs Al-Watoniyah. Adanya pelatihan multimedia ini diharapkan bertambahnya variasi keterampilan untuk menyampaikan materi pengajaran kepada siswa-siswa MI/MTs Al-Watoniyah.
Co-Authors Abdilah, Hayatining Suci Abdullah Adam Arif Budiman Aditia Gustiana Gunawan Adrian Axel Yohannes Afri Yudha Ahmad Makbul Ahmad Mujaffar Ahmad Syawaluddin Aji Setiawan Alva Edy Tontowi Alva Edy Tontowi Amar Ahmad Andi Ajeng Tenri Lala Andi Sudiarso Andi Susilo Angsoka Dwipayana Marthaliakirana Astuti, Eka Yuni Atik Kurnianto Ayatullah Baba Barus Bagus Tri Mahardika Banu Santoso Cholid Mawardi Denny Sukma Eka Atmaja Dhananjaya Yama Hudha Kumarajati Dikpride Despa Eka Supriatna Elysia, Shafa Endang Ayu Susilawati Fatas Wahyuning S, Musa Fonda, Hendry Geminastiti Sakkir Gusnawati, Rina Hasbi Haslindah Heliawaty Hamrul, Heliawaty Herianto Herianto Irnandas, Muh Jaman, Najma Jusmiana, Andi Kusmono M. Ali Latif Amri Mabanja, Ashiraf MARDIANA Mira Febriana Sesunan 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 Riyono, Dwi Romatua, Pittor Rustanto Sahmiar Pulungan Sarah Iftin Atsani Sari , Andira Sarlin Sirajun Nasihin, Sirajun Siti Aisyah Sugianto, Didik Susanto, Herry  Suzuki Syofian Syahirul Alim Ritonga Tenri Lala, Andi Ajeng Tenri Lala Timor Setiyaningsih Titin, Veronica Uray Gustian Veronica Vincentius P Siregar Wangi Pandan Sari Wardani, Tri Ulfa Yahya Yeremia, Yeremia Yuda Irawan YULISMAN