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All Journal Natural Science: Journal of Science and Technology JIK Jurnal Ilmu Komputer Techno.Com: Jurnal Teknologi Informasi Bulletin of Electrical Engineering and Informatics Jurnal Konstruksia SAMUDERA Gravitasi Jurnal Studi Agama dan Masyarakat AL-IDARAH: JURNAL KEPENDIDIKAN ISLAM RETORIKA: Jurnal Bahasa, Sastra, dan Pengajarannya Dinamika Ilmu PEMBELAJAR: Jurnal Ilmu Pendidikan, Keguruan, dan Pembelajaran Rancang Bangun JOURNAL OF APPLIED INFORMATICS AND COMPUTING International Journal of Technology And Business KOMPUTIKA - Jurnal Sistem Komputer JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Agritechno Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Vokasi Jurnal Ilmiah Pendidikan Matematika Al Qalasadi Jurnal Abdi Insani Jurnal Fisika dan Terapannya Al-Hikmah Media Dakwah, Komunikasi, Sosial dan Kebudayaan Munaddhomah: Jurnal Manajemen Pendidikan Islam Dharmas Education Journal (DE_Journal) Journal Peqguruang: Conference Series AbdiTechno (Jurnal Pengabdian Masyarakat) Ta'lim Jurnal Hukum Legalita Scolae: Journal of Pedagogy DINAMIKA ILMU: Jurnal Pendidikan Jurnal Ilmiah Kampus Mengajar JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat ADIBA: Journal of Education Journal of Artificial Intelligence and Digital Business Easta Journal of Innovative Community Services Jurnal Pengabdian Masyarakat Dharma Andalas TOFEDU: The Future of Education Journal Journal of Sustainable Development and Regulatory Issues Al Ghafur : Jurnal Ilmiah Pengabdian Kepada Masyarakat Lentera Jurnal Ekonomi, Bisnis, dan Humaniora Journal of Innovative and Creativity Nusantara Journal Of Management Business (NUMABI) Jurnal Teknik Sipil Jurnal Unicorn ADPERTISI Management of Information System Journal Referendum Jurnal Ilmiah Manajemen dan Kewirausahaan JIS: Journal ISLAMIC STUDIES Jurnal Wicara Desa JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
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PEMANFAATAN KEARIFAN LOKAL DALAM OPTIMALISASI BUDIDAYA NILAM UNTUK MENINGKATKAN PEREKONOMIAN MASYARAKAT DI DESA DAYAH SINTHOP Iqbal, Iqbal; Waty, Eri; Taufiq, Taufiq
Al Ghafur : Jurnal Ilmiah Pengabdian Kepada Masyarakat Vol 4, No 1 (2025): Juli
Publisher : Universitas Jabal Ghafur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47647/al_ghafur.v4i1.3400

Abstract

Penelitian ini bertujuan untuk mengkaji pemanfaatan kearifan lokal dalam budidaya nilam sebagai upaya peningkatan perekonomian masyarakat di Desa Dayah Sinthop. Metode yang digunakan adalah pendekatan kualitatif dengan teknik pengumpulan data melalui observasi, wawancara mendalam, dan dokumentasi. Hasil penelitian menunjukkan bahwa masyarakat Desa Dayah Sinthop memiliki tradisi dan pengetahuan turun-temurun dalam membudidayakan nilam yang terbukti efektif meningkatkan hasil panen dan kualitas minyak nilam. Dengan mengintegrasikan teknologi sederhana dan memanfaatkan kearifan lokal seperti sistem tanam berkelompok, penggunaan pupuk alami, dan ritual adat sebelum tanam, produktivitas nilam mengalami peningkatan yang signifikan. Hal ini berdampak langsung pada pendapatan petani dan menggerakkan ekonomi lokal. Penelitian ini menyarankan agar kearifan lokal tetap dijaga dan dijadikan dasar dalam pengembangan pertanian berkelanjutan di daerah pedesaan.Kata kunci: Kearifan Lokal, Budidaya Nilam, Perekonomian MasyarakatTranslator   Translator   Translator   
UJI MARSHALL TERHADAP CAMPURAN AC-WC DENGAN SUBSTITUSI KOLABORASI LIMBAH PET DAN SBB KE DALAM ASPAL PENETRASI 60/70 Iqbal, Iqbal; Saleh, Sofyan M.; Isya, Muhammad
JURNAL TEKNIK SIPIL Vol 1, No 3 (2018): Volume 1 Special Issue, Nomor 3, Januari 2018
Publisher : Jurusan Teknik Sipil, Fakultas Teknik, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jts.v1i3.10001

Abstract

Abstract: Many materials for asphalt mixture are from waste that believed can be improved the pavement performance, such as stability and durability. The remaining polyethylene terepthalate type (PET) plastic waste which is used for plastic bottles of mineral water and second tires dust (STD) was the result of grated outer tires of the four wheels vehicle. The aims of this research is to determine influence of collaboration PET waste and STD into asphalt pen. 60/70 against Marshall test on AC-WC mixture. The first stages of this research is to determine the optimum asphalt content, then create the specimens without substitution waste and with collaboration substitution both of waste additive on collaboration percentage variations of PET 25% + STD 75%, PET 50% + STD 50%, PET 75% + STD 25% with Marshall test. From the research results obtained the value of stability without substitution those were 1602,84 kg and the greater results of stability value with collaboration variations obtained on percentage of PET 75% + STD 25% those were 1942,44 kg. The result of Marshall parameters value without and with collaboration both of waste such as stability, flow, Marshall Quantient, density, VIM, VMA, and VFB, still meet the requirements of Bina Marga specification (2014). The durability value without and with collaboration substitution were 93,82 %, and 97,13%. All of the durability value with substitution on waste percentage variation into asphalt had met the requirement of Bina Marga (2014), those were 90%.Abstrak: Banyak bahan material untuk campuran ke dalam aspal merupakan dari limbah yang diyakini dapat meningkatkan kinerja seperti stabilitas dan durabilitas. Sisa limbah plastik jenis polyethylene terepthalate (PET) yang merupakan bahan digunakan untuk botol plastik air mineral dan serbuk ban bekas (SBB) merupakan hasil dari parutan ban luar kendaraan roda empat. Tujuan penelitian ini untuk mengetahui pengaruh kolaborasi limbah PET dan serbuk ban bekas ke dalam aspal Pen. 60/70 terhadap uji Marshall pada campuran AC-WC. Tahapan pertama dari penelitian ini adalah menentukan kadar aspal optimum, selanjutnya dilakukan pencampuran tanpa substitusi limbah dan dengan campuran substitusi kolaborasi kedua bahan aditif limbah dengan variasi persentase kolaborasi PET 25% + SBB 75%, PET 50% + SBB 50%, PET 75% + SBB 25% dengan pengujian parameter Marshall. Dari hasil penelitian didapatkan nilai stabilitas tanpa substitusi yaitu 1602,84 kg dan hasil nilai stabilitas variasi kolaborasi tertingi di dapat pada persentase PET 75% + SBB 25% yaitu 1942,44 kg. Nilai parameter untuk tanpa dan kolaborasi yang dihasilkan berupa stabilitas, flow, Marshall Quantient, density, VIM, VMA, dan VFB masih memenuhi persyaratan spesifikasi Bina Marga tahun 2014. Nilai durabilitas tanpa substitusi yaitu sebesar 93,82% dan nilai durabilitas untuk substitusi kolaborasi yaitu 97,13%. Semua nilai durabilitas substitusi pada variasi persentase limbah ke dalam aspal telah memenuhi syarat yang ditentukan Bina Marga tahun 2014 yaitu 90%.
Transformasi Bambu Menuju Ekonomi Sirkular: Analisi Terhadap Sinergi Program CSR dan Peran Pemuda Desa Banu Ayu, Sumatera Selatan Iqbal, Iqbal; Rasyifah, Maisyah Nur
Al-Hikmah Media Dakwah, Komunikasi, Sosial dan Kebudayaan Vol 16 No 1 (2025): Al-Hikmah Media Dakwah, Komunikasi, Sosial dan Kebudayaan
Publisher : DEPARTEMENT OF COMMUNICATION AND ISLAMIC BROADCASTING STUDIES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/hikmah.v16i1.12546

Abstract

This study aims to analyze the impact of the application of appropriate technology in the development of bamboo processing business into skewers as a form of CSR program in Banu Ayu Village, Ogan Komering Ulu Regency, South Sumatra Province. The method used is a qualitative approach with data collection techniques through interviews, observation, and documentation. The results showed that the machine assistance provided by PT PT Pertamina Patra Niaga Fuel Terminal Baturaja was able to create a new transformation in the progress of village community development, especially young people with minimal educational backgrounds, making it difficult to find jobs. However, with business assistance and creativity development from bamboo can open up job opportunities for them. Not only that, there are positive impacts in business management and social aspects through this transformation, such as improved production systems and increased collaboration between residents, village government and the private sector. This bamboo transformation also creates a circular economy pattern because the upstream to downstream process is clearly done so as not to harm the environment and any party in the process of activity. This program is a clear example of the synergy between local potential and technology in creating economic independence for rural communities.
Comparative performance analysis of LSTM, GRU, and bidirectional neural networks for political ideology classification Afuan, Lasmedi; Hidayat, Nurul; Permadi, Ipung; Iqbal, Iqbal; Suprihanto, Didit; Bintang Pradana Yosua, Panky; Alfarez Marchelian, Reyno
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9980

Abstract

Political ideology classification is crucial for understanding social polarization, monitoring democratic processes, and identifying bias on online platforms. This study compares the performance of long short-term memory (LSTM), gated recurrent unit (GRU), and bidirectional GRU (Bi-GRU) neural network models in classifying liberal and conservative political ideologies from social media text data. The Bi-GRU achieved the best results with 88.75% accuracy and 89.16% F1-score, highlighting its strength in contextual analysis. These findings suggest their applicability in areas such as election monitoring and the analysis of political discourse. This study contributes to the field of political text classification by offering a comparative analysis of deep learning architectures. The dataset utilized covers a wide range of issues, including social, political, economic, religious, and racial topics, demonstrating its comprehensive nature. Visualizations using WordCloud and uniform manifold approximation and projection (UMAP) reveal distinct ideological patterns, validating the dataset’s quality for training models. The findings underscore the importance of utilizing advanced bidirectional architectures for nuanced tasks, such as ideology classification, where contextual understanding is crucial. These insights open avenues for future research, such as the application of Bi-GRU in analyzing multilingual political ideologies or real-time sentiment tracking during election campaigns.
Perancangan Sistem Aplikasi Ujian Online Berbasis Web pada LPIA Jatimurni Menggunakan Laravel Iqbal, Iqbal; Soderi, Ahmad; Juwari, Juwari; Diantoro, Karno
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2750

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem ujian online berbasis web di LPIA Jatimurni guna meningkatkan efisiensi dan efektivitas proses evaluasi pembelajaran. Selama ini, sistem ujian masih dilakukan secara manual sehingga menimbulkan kendala seperti keterlambatan pengolahan nilai, pemborosan kertas, serta potensi kesalahan administrasi. Untuk mengatasi permasalahan tersebut, penelitian ini menggunakan metode pengembangan perangkat lunak Rapid Application Development (RAD) dengan framework Laravel dan database MySQL. Metode penelitian bersifat deskriptif kualitatif melalui observasi, wawancara, dan studi literatur. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu mengelola penyusunan soal, pelaksanaan ujian, hingga pengolahan hasil secara lebih cepat, akurat, dan terintegrasi. Pengujian sistem menggunakan Black Box Testing memperlihatkan bahwa aplikasi berjalan sesuai kebutuhan pengguna dan meningkatkan kepuasan baik dari sisi pengajar maupun siswa. Penelitian ini berkontribusi dalam menyediakan solusi teknologi yang relevan bagi lembaga pendidikan nonformal serta dapat menjadi rujukan dalam pengembangan sistem ujian online pada konteks serupa.
Application of Feature Selection and Comparative Analysis of Machine Learning Models for Rainfall Prediction in Jakarta Sulistyowati, Indah Dwi; Sunarno, Sunarno; Iqbal, Iqbal; Syamsuri, KGS M Nurs
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.11000

Abstract

Accurate rainfall prediction plays a vital role in reducing disaster risks and supporting public preparedness, particularly in Jakarta where dense population and frequent floods cause serious economic and social impacts. In this study, weather data from the Kemayoran Meteorological Station covering 2004–2023 were analyzed to build rainfall prediction models using machine learning. Three classification algorithms were compared: Logistic Regression, Decision Tree, and Random Forest, selected to represent linear, non-linear, and ensemble approaches. Feature selection was applied using Recursive Feature Elimination (RFE) to identify the most relevant predictors. The models were evaluated using 5-fold cross-validation with metrics including Accuracy, Precision, Recall, F1 Score, ROC AUC, and Cohen’s Kappa. The results indicate that Random Forest achieved the best overall performance with Accuracy of 0.7622, Precision around 0.70, Recall up to 0.63, F1 Score about 0.65, ROC AUC ranging from 0.8044 to 0.8171, and Cohen’s Kappa near 0.48. Logistic Regression also performed competitively with Accuracy of 0.7648, ROC AUC of 0.829, and Kappa of 0.49, while Decision Tree showed lower results with Accuracy of 0.6890 and ROC AUC of 0.6636. The RFE process successfully reduced 18 meteorological attributes to 5 influential features, mainly temperature and relative humidity, which were dominant in distinguishing rainfall events. These findings demonstrate that both Random Forest and Logistic Regression outperform Decision Tree, and Random Forest with RFE can be recommended as the most robust model for rainfall prediction in Jakarta.
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Waris Abdul Waris Afkar, Mufidul Agung M Agus Dwiyanto, Agus Agus Jatmiko Al-Qaida, Huzaima Alfarez Marchelian, Reyno Amrullah, Satrio Andi Paramita Guntur arifin arif Andi Karim Aryani, Intan Dwi Ashabul Kahpi Asrul Saputra Aziz Aziz Bintang Pradana Yosua, Panky Daniel Useng Darmawati Darwis Dedy Farhamsa Desembardi, Faried Desi Fitasari Diah Retnowati Dian Dian Diantoro, Karno Dicky Wahyudi Didit Suprihanto, Didit Djuniadi , Djuniadi Djuniadi Djuniadi Dwi Guntoro Dyah Prihartini Djenal Elsa Elsa Ery Wati Eti Hadiati Ewin Iskandar Fadli, Yossy Aulia Fahrizal Fahrizal Faisyah, Nur Fakhrizal Fakhrizal, Fakhrizal Fatimah, Jannatun Fauzah, Rauzatul Febrianti, Ni Luh Riska Feddy Setio Pribadi Hanif Hanif Haq, Habil Hasbullah Hasbullah Hazmal Herman, Hazmal Horas, Erwin Husnul Mubarak Imam Suelfikhar Ipung Permadi Irawan, Bayu Budi Irawan, Santi Jafarudin, Ahmad Januar Junaedi Muhidong Karnisih, Karnisih Kartika Pertama Sari Kasman Kasman Kausar, Kausar Khaeril Anwar Junaedi Khaeroni, Rany Kitab Amelia Kurnia, Muhammad Lasmedi Afuan Ledjap, Maria Aryanthi Liliandriani, Andi Lindawati Lindawati Maharani, Dewi Mahmud Achmad Mahmud Achmad, Mahmud Mahmudin, Lufsyi Marfiyana, Marfiyana Martha, Martha Maulana Putra Mauloeddin Afna, Mauloeddin Mazni, Deni Irda Melati, Reffi Mil, Gibson Mira, Prilly Virgina Mochammad Imron Awalludin Moerad, Siti Huwayda Mohamad Riva N. Muhammad Ihsan Andi Dagong Muhammad Iqbal Muhammad Isya Muhammad Rizal Muhammad Syahrul Ulum Muhammad Tahir Sapsal Mursalim Mursalim Mutawakkil Mutawakkil Muzana, Syarifah Nanang Sadikin Naslawati, Naslawati Nengsi, Sri Ngudiyono Ngudiyono Noor Saptanti Nugroho, Anggi Septia Nurhanifa, Nurhanifa Nurjannah Nurjannah Nurlaili Nurlaili Nurrahmi, Sitti Nursusilowati, Indah Nurtania Sudarmi Nurul Hidayat Panduwinata, Fina Prajasa, Syakira Mala Pratiwi, Nita Adilla Putri, Nursinta RAMLIN AHMAD Rasyifah, Maisyah Nur Rayhannafi, Hilmi Rita Sari Rokhman, Rokhman RR. Ella Evrita Hestiandari Safera, Liza Salmawati Salmawati, Salmawati Sanjaya, Muhammad Fahyu Sari, Adinda Kumala Setianingrum, Diah Ayu Soderi, Ahmad Sofyan M. Saleh Solly Aryza Suhartono Sukmawati, Darmawati Sulistyowati, Indah Dwi Sunarno Sunarno Supratomo, Supratomo Suryana, Nina Suryani Suryani SUTOMO Syafriadi Syafriadi Syamsuri, KGS M Nurs Tamsil Tamsil Taufiq Taufiq Trisno, Eka Prasetya Dwi Udayana, I Made Darma Ukhtiyani, Indah Useng, Daniel Usrah Yulia Murti Vitri, Gusni Wanda Wanda Waty, Eri Wendi Boy Weny Dwi Ningtiyas Wicaksana, M. Arman Adhi Winar, Sri Winar, Sri Wiujianna, Atri Yetri Hasan Yocki Supriadi Yuhinis, Baiq Ilil Yumeina, Diyah Zainal, Zainal Abidin Zaiturrahmi, Zaiturrahmi Zayu, Wiwin Putri Zurkarnaini, Zurkarnaini