Article Per Year (5 Year)
p-Index From 2020 - 2025
5.11
P-Index
This Author published in this journals
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) Jurnal Inotera El-Barka: Journal of Islamic Economics and Business Jurnal Hutan Tropika 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-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Magister Ekonomi Syariah The Indonesian Journal of Computer Science Jeptira TIFDA : Journal Technology Information and Data Analytic MADINA : Journal of Islamic Studies Vocational: Journal of Educational Technology Papsel Economic Journal
Herianto
Unknown Affiliation
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 Mechanical Engineering Physics Social Sciences Other

Published : 37 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 37 Documents
Search

 1   2   3   4 
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): JURNAL PENGABDIAN MASYARAKAT JEPTIRA
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.
PEMANFAATAN APLIKASI MULTIMEDIA UNTUK PEMBELAJARAN JARAK JAUH Kurnianto, Atik; Setiyaningsih, Timor; Herianto
JEPTIRA Vol 1 No 1 (2023): JURNAL PENGABDIAN MASYARAKAT JEPTIRA
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jep.v1i1.13

Abstract

Penggunaan media dalam proses pembelajaran dapat membangkitkan keinginan dan minat baru,menciptakan motivasi dan rangsangan, melaksanakan kegiatan belajar, serta memberikan dampak psikologis pada siswa. Penggunaan media pembelajaran secara signifikan meningkatkan efektivitas proses pembelajaran dan penyampaian pesan serta isi pelajaran sesuai kebutuhan kurikulum. Penggunaan alat bantu/tool berbasis multimedia untuk pembelajaran jarak jauh secara daring sangat diperlukan manakala terjadi kondisi yang mengharuskan dilakukan pertemuan secara daring/online. oleh karena itu diperlukan pelatihan penggunaan tool multimedia untuk perkuliahan secara daring agar proses belajar mengajar tetap dapat dilakukan.
Penggunaan tool Artificial Intelligent untuk membuat Bahan Ajar pada Guru SDIT Mafatih Herianto; Setiawan, Aji; Yudha, Afri
JEPTIRA Vol 1 No 2 (2023): JURNAL PENGABDIAN MASYARAKAT JEPTIRA
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jep.v1i2.15

Abstract

Penggunaan teknologi dalam pendidikan, termasuk di Sekolah Dasar Islam Terpadu (SDIT), menjadi penting. Namun, bahan ajar yang menarik dan interaktif masih menjadi tantangan bagi banyak guru. Inovasi dalam pembuatan bahan ajar diperlukan untuk meningkatkan minat dan pemahaman siswa. Masalah utama yang dihadapi oleh guru adalah adalah kurangnya sumber daya dan waktu guru untuk secara konsisten membuat bahan ajar berkualitas tinggi. Kegiatan Pengabdian kepada Masyarakat (PKM) ini memberikan pelatihan penggunaan alat kecerdasan buatan/Artificial Intelligent (AI) untuk membantu guru menyusun bahan ajar. AI dapat mengotomatisasi berbagai proses pembuatan materi pembelajaran, termasuk pembuatan konten, soal latihan, dan evaluasi, semuanya sambil menjaga kualitas bahan ajar. Penggunaan AI saat membuat bahan ajar di SDIT dapat meningkatkan efektivitas dan efisiensi pengajaran. Penggunaan teknologi ini merupakan langkah maju menuju modernisasi pendidikan yang akan sangat membantu siswa dan pendidik.
UMKM Go Digital Syamsiyah, Nur; Yahya; Herianto; Hasanah, Nur; Febriana Sesunan, Mira
JEPTIRA Vol 2 No 1 (2024): JURNAL PENGABDIAN MASYARAKAT JEPTIRA
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jep.v2i1.24

Abstract

Pandemi COVID-19 berdampak signifikan pada sektor pariwisata, perdagangan, industri, serta Usaha Mikro, Kecil, dan Menengah (UMKM) di Indonesia. Dampaknya terlihat dari banyaknya PHK di berbagai perusahaan, penutupan usaha, dan dirumahkannya karyawan. UMKM juga mengalami kendala operasional, dengan penurunan jumlah konsumen yang berbelanja langsung. Sebanyak 39,9% UMKM harus mengurangi stok barang, sementara 16,1% lainnya memilih untuk mengurangi karyawan atau menutup usaha. Perubahan ini mempengaruhi pola belanja masyarakat serta menurunkan daya beli. Untuk bertahan di tengah pandemi, para pelaku UMKM perlu menguasai keterampilan digital. Dalam upaya mendukung kemampuan ini, tim abdimas sistem informasi menyelenggarakan program pengabdian masyarakat bagi UMKM MCI Indonesia. Tema utama dari kegiatan ini adalah Pelatihan Digital Marketing untuk UMKM, dengan fokus pada pemanfaatan teknologi informasi. Program ini bertujuan membantu pelaku UMKM memahami dan menerapkan strategi pemasaran digital, sehingga mereka dapat meningkatkan potensi usaha, pendapatan, dan kesejahteraan secara menyeluruh. Melalui pendampingan ini, diharapkan para pelaku usaha dapat beradaptasi dengan perubahan pasar dan memanfaatkan teknologi untuk memperbaiki taraf hidup mereka serta komunitas di sekitar.
Chatbot Berbasis Retrieval Augmented Generation (RAG) untuk Peningkatan Layanan Informasi Sekolah Elysia, Shafa; Herianto
Journal TIFDA (Technology Information and Data Analytic) Vol 1 No 2 (2024): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v1i2.52

Abstract

Penelitian ini bertujuan untuk merancang dan mengembangkan sistem chatbot berbasis model Transformers dengan metode Retrieval Augmented Generation (RAG) untuk layanan informasi di SMP Santo Leo III. Chatbot ini dirancang untuk meningkatkan aksesibilitas dan efisiensi penyampaian informasi, meliputi peraturan sekolah, kegiatan ekstrakurikuler, kalender akademik, dan informasi relevan lainnya. Model yang digunakan adalah LLaMA-3-8B-Instruct, Mistral-7B-Instruct-v0.3, dan Zephyr-7B-β. Pengujian terhadap dataset yang berisi 30 pertanyaan terkait informasi sekolah menunjukkan bahwa model LLaMA-3-8B-Instruct dan Mistral-7B-Instruct-v0.3 mencapai akurasi 100%, sementara Zephyr-7B-β mencapai akurasi 70%. Integrasi model berbasis Transformers dengan metode RAG terbukti efektif dalam menghasilkan jawaban yang relevan terhadap konteks percakapan, meningkatkan kualitas respons chatbot. Hasil penelitian ini menunjukkan potensi besar teknologi Transformers dan RAG dalam menciptakan interaksi mesin yang lebih intuitif dan responsif. Solusi ini dirancang dengan fleksibilitas tinggi, memungkinkan penerapannya di sekolah lain dengan penyesuaian minimal terhadap dataset lokal, sehingga menjadi solusi skalabel untuk meningkatkan layanan informasi di sektor pendidikan. Teknologi ini juga mengatasi keterbatasan pada sistem chatbot berbasis menu, aturan, dan machine learning konvensional. Dengan demikian, penelitian ini memberikan kontribusi signifikan dalam pengembangan sistem chatbot untuk meningkatkan efisiensi penyampaian informasi di lingkungan pendidikan.
Determination of Nasab Validation of Children Born Outside a Legal Marriage (Study Analysis of the Religious Court Decision Number: 115/PDT.P/2021/PA. Bjb) Herianto; Sahmiar Pulungan
Journal of Law, Politic and Humanities Vol. 5 No. 3 (2025): (JLPH) Journal of Law, Politic and Humanities
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jlph.v5i3.1271

Abstract

The purpose of this study is to briefly explore the factors considered by judges in deciding the offspring status of children born from legal marriages and its legal impact, especially for unregistered children. This research is focused on analyzing regulations related to literature or secondary sources, utilizing a qualitative approach and normative legal methodology. The methods used in this research include a statute-based approach and a case-based approach. The research results show that:1) The judge in his decision rejected the plaintiff's request to affirm the child's relationship with his father. 2) The legal impact on children and women in a siri marriage according to the Overview of Islamic Law is as follows: For the child, it is difficult to obtain a birth certificate because his birth is constrained by administration at the civil registry office. In contrast, the wife's status as a legal spouse is not recognized by state law.
Application of the Problem Based Learning Model to Learning Achievement in Islamic Religious Education at SD Negeri 100808 Aek Nabara Romatua, Pittor; Herianto; Nasution, Saddam Husein
MADINA : Journal of Islamic Studies Vol. 1 No. 2 (2024): DECEMBER 2024
Publisher : MANDAILING GLOBAL EDUKASIA

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

Abstract

This research aims to improve student learning outcomes in Islamic religious education learning by using problem based learning. This research is classroom action research that uses four steps, namely planning, action, observation and reflection. The subjects of this research were elementary school students. This research data was obtained using test and observation techniques. Tests are used to measure learning outcomes and observations are used to analyze teacher and student learning activities. The data analysis technique used in this research is descriptive statistics by comparing the results obtained with indicators of research success. The research results show that problem based learning can improve student learning outcomes in Islamic religious education learning. This can be seen from the increase in the percentage of student learning completeness in each cycle with details of pre-cycle 41.89%, first cycle 70.37% and in the second cycle it increased to 88.62%. Thus, the use of problem based learning can be used as an alternative to improve student learning outcomes in Islamic religious education learning.
Pengaruh Green Fiance, Pertumbuhan Ekonomi dan Keterbukaan Perdagangan Terhadap Emisi CO2 Bukti dari Negara Anggota OKI Herianto; Tenri Lala, Andi Ajeng Tenri Lala; Nurpasila
Balanca : Jurnal Ekonomi dan Bisnis Islam Vol 6 No 2 (2024): Balanca: Jurnal Ekonomi dan Bisnis Islam
Publisher : Institut Agama Islam Negeri Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35905/balanca.v6i2.7895

Abstract

Sustainable development is currently not only measured by the economic growth of a country or region but goes further than that. One of them, through the stability and maintenance of the environment. This study aims to look at the relationship between green financing, economic growth, trade barriers and CO2 emissions specifically in countries that are members of the OIC cooperation. This study uses a quantitative approach with a panel data estimation model with the help of testing using the eviews 9 statistical application. Samples were used in 8 countries namely Bahrain, Bangladesh, Brunei Darussalam, Indonesia, Malaysia, Jordan, Kazakhstan, Sudan and Saudi Arabia, with sample fees using purposive example. Furthermore, data was obtained from the official website of the world bank and the Islamic Financial Service Board (IFSB). The peculiarity of this research is that it shows that environmentally friendly financing, economic growth and the rise of trading have a positive effect on CO2 emissions. The results of this study confirm that development policies in several OIC member countries have had a significant impact on pollution in these countries and the presence of Islamic banks through financing in the green economy sector has not shown an impact that can reduce CO2 emissions.
Analisis Perbandingan Algoritma Machine Learning dengan SMOTE dan Teknik Boosting dalam Peningkatan Akurasi Yuda Irawan; Refni Wahyuni; Rian Ordila; Herianto
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4368

Abstract

This research explores and enhances accuracy in sentiment classification related to Indonesia's Capital City relocation by combining Naive Bayes (NB), Random Forest (RF), SMOTE, and XGBoost. The study addresses challenges of unbalanced data and complexity in social media sentiment analysis. The combination of RF with SMOTE achieved the highest accuracy at 91.25%, demonstrating SMOTE's effectiveness in balancing the dataset and improving minority class detection. While adding XGBoost slightly reduced accuracy (90.92%), it increased the NB model's accuracy from 77.45% to 85.97% when combined with SMOTE. RF alone reached 87.46% and improved to 88.78% with XGBoost. The study underscores the importance of selecting and combining techniques to maximize sentiment prediction accuracy. Future research could explore deep learning or transformer models for even better results, offering deeper insights into public sentiment and aiding effective policy strategy development.
A YOLO-Based Machine Learning Framework for Detection of Soft Pneumatic Actuator Bending Angles Syahirul Alim Ritonga; Raditya Fadhil Arva; Sarah Iftin Atsani; Mohammad Ardyansah; Herianto
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID448

Abstract

The bending angle of soft pneumatic actuator (SPA) is a critical parameter influencing their reliability and effectiveness across various applications. Conventional measurement methods are often labour-intensive and impractical for experiments requiring multiple trials, creating a need for efficient, non-invasive techniques. This study proposes a machine learning framework leveraging YOLO (You Only Look Once) models to detect SPA bending angles from image data, eliminating the need for additional hardware. A comprehensive dataset of SPAs under varying actuation pressures, with meticulously labelled bending angles, was curated to train a YOLO-based regression model. The results highlight the model's strong performance, achieving a recall of 99.1%, precision of 70%, and mean average precision (mAP) scores of 86.42% (IoU 0.5) and 84.35% (IoU 0.5–0.95). Low training and validation losses indicate high accuracy in bounding box predictions, object-background differentiation, and object classification. Optimized learning rates ensured efficient parameter updates, achieving convergence without overfitting. The proposed framework demonstrates a robust balance between accuracy, robustness, and efficiency, making it a practical solution for reliable SPA bending angle detection in real-world applications. This study underscores the potential of machine learning-driven techniques to streamline SPA characterization, offering a scalable and non-invasive alternative to traditional methods.
Co-Authors 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 Susilo Astuti, Eka Yuni Ayu Susilawati, Endang Baba Barus Banu Santoso Dhananjaya Yama Hudha Kumarajati Dikpride Despa Elysia, Shafa Febriana Sesunan, Mira Gusnawati, Rina Hasbi Haslindah Irnandas, Muh Jaman, Najma Jusmiana, Andi Kurnianto, Atik Kusmono M. Ali Latif Amri Mabanja, Ashiraf MARDIANA Mira Harimurti Mohammad Ardyansah Muhammad Kusumawan Herliansyah MUHAMMAD YUSUF 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 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 Vincentius P Siregar Wangi Pandan Sari Wardani, Tri Ulfa Yahya Yuda Irawan Yudha, Afri YULISMAN