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All Journal TEKNIK INFORMATIKA JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Infotech Journal JUPITER (Jurnal Pendidikan Teknik Elektro) CESS (Journal of Computer Engineering, System and Science) SMATIKA Jurnal Informatika Upgris Fountain of Informatics Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING International Journal of Technology And Business Khadimul Ummah Journal of Social Dedication Jurnal Inotera JSiI (Jurnal Sistem Informasi) JURNAL MANAJEMEN (EDISI ELEKTRONIK) IJISTECH (International Journal Of Information System & Technology) Shirkah: Journal of Economics and Business Indonesian Journal of Applied Informatics Simtek : Jurnal Sistem Informasi dan Teknik Komputer Progresif: Jurnal Ilmiah Komputer Indonesian Journal of Community Services Jurnal Informatika dan Rekayasa Elektronik Generation Journal JATI (Jurnal Mahasiswa Teknik Informatika) INFORMASI (Jurnal Informatika dan Sistem Informasi) Jurnal Sistem Komputer & Kecerdasan Buatan G-Tech : Jurnal Teknologi Terapan TIN: TERAPAN INFORMATIKA NUSANTARA Infotech: Journal of Technology Information Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan Idealis : Indonesia Journal Information System SKANIKA: Sistem Komputer dan Teknik Informatika IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Infotech: Jurnal Informatika & Teknologi International Journal of Community Service International Conference on Industrial Revolution for Polytechnic Education Buletin Sistem Informasi dan Teknologi Islam Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Jurnal Informatika Teknologi dan Sains (Jinteks) Journal of Management and Digital Business Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Duta Abdimas: Jurnal Pengabdian Masyarakat Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis LOFIAN: Jurnal Teknologi Informasi dan Komunikasi Innovative: Journal Of Social Science Research Prosiding Seminar Informasi Kesehatan Nasional Journal Of Artificial Intelligence And Software Engineering Jurnal INFOTEL Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi SmartComp Smatika Jurnal : STIKI Informatika Jurnal Jurnal Teknik Silitek
Nurchim
Universitas Duta Bangsa Surakarta
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Journal : journal of artificial intelligence and software engineering

 1 
Design And Development of An Automated Watering System For Curly Red Chili Plants Based on Internet Of Things Saputra, Muchammad Yoga; Nurchim, Nurchim; Maulindar, Joni
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7263

Abstract

An ideal soil moisture level between 60% and 80% is crucial for the optimal growth of curly chili plants. However, manual watering methods by farmers are often inefficient and fail to maintain consistent soil moisture. This issue forms the basis of the current research, which aims to develop an automated Internet of Things (IoT)-based watering system for curly chili plants, integrated with a monitoring website. The research method involves using an ESP32 microcontroller connected to a soil moisture sensor and a DHT22 temperature sensor. The data collected by the sensors is sent in real-time to the Firebase Realtime Database as a cloud platform and then visually displayed on a monitoring website. System testing confirmed that the setup successfully monitored soil conditions and air temperature while also controlling a DC mini water pump via a relay for automated watering based on the received data. In conclusion, the implementation of this IoT technology is expected to assist farmers in Kadokan Village in conserving water usage, improving time efficiency, and enhancing the quality and quantity of curly chili production.
Sentiment Analysis of Fans Toward Brand Merchandise Releases Using Support Vector Machine (SVM) Munaiseche, Christian Imanuel; Nurchim, Nurchim; Cipto Utomo, Bangun Prajadi
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7264

Abstract

The release of merchandise by idol groups often sparks various emotional reactions among fans, particularly on social media platforms. This study investigates fan sentiment regarding the birthday merchandise release by JKT48 members on the X (Twitter) platform using the Support Vector Machine (SVM) algorithm. A total of 1,062 comments were collected using the Tweet Harvest tool and manually categorized into three sentiment classes: positive, neutral, and negative. The collected data underwent several pre-processing stages, including case folding, data cleansing, tokenization, and stopword removal. The text data were then transformed into numerical features using the Term Frequency-Inverse Document Frequency (TF-IDF) method. To address the class imbalance issue, the Synthetic Minority Over-sampling Technique (SMOTE) was applied. Experimental results show that the SVM model without SMOTE achieved an accuracy of 84.62% and an F1-score of 76.79%. After applying SMOTE, model performance improved significantly, with accuracy reaching 90.09% and F1-score increasing to 90.15%. Furthermore, the results of 5-fold cross-validation confirmed the positive impact of SMOTE in enhancing the model's ability to classify sentiment, particularly for underrepresented classes.
Analisis Komparatif Optimasi Hyperparameter Metaheuristik pada Model Deep Learning untuk Deteksi Berita Hoaks Berbahasa Indonesia Ramadhani, Rafli; Nurchim, Nurchim; Pramono, Pramono
Journal of Artificial Intelligence and Software Engineering Vol 6, No 2 (2026): Juni (OnProgress)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i2.9497

Abstract

The spread of hoax news on digital platforms demands an automatic detection system based on Neural Networks. However, the performance of these models is heavily influenced by hyperparameter configuration, where manual determination is time-consuming and prone to overfitting. This study aims to compare the performance of Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Hybrid GA-PSO in optimizing hyperparameters of Artificial Neural Network (ANN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) architectures for detecting hoax news in Indonesian. Quantitative experiments were conducted using 4,132 news data, extracted through TF-IDF and Word2Vec, then trained and evaluated based on the level of classification accuracy and convergence quality. The test results show that the effectiveness of the optimization algorithm is highly dependent on the model architecture. In the baseline ANN model, PSO performed optimally with an accuracy of 96.3% and an F1-Score of 96.3% due to its ability to exploit parameters stably. In the CNN model, PSO experienced overfitting, making GA the best method with 95.4% accuracy due to its advantage in maintaining model generalization on new data. Meanwhile, for the LSTM sequential model, pure GA experienced model collapse with accuracy dropping to 49.9%. The Hybrid GA-PSO approach proved to be the most optimal method for LSTM, dominating with the highest accuracy of 96.5%, a precision rate of 97.2%, and an F1-score of 96.5%. In conclusion, algorithm hybridization is highly recommended for complex architectures to overcome the weaknesses of a single algorithm while producing sharp predictions that precisely distinguish facts from hoaxes.
Co-Authors Abdullah Abdullah Syaifudin Achmad Sholichin Afu Ichsan Pradana Agus Riyanto Agustina Srirahayu Ahmad Qashid Husaini Ahmad Setiawan Alberthino Ramadhan Oktaviano Andrean, Fauzi Andy Ariyanto Ardi Lestari, Sofiana Ardianto Pambudi arif wicahyanto Assidiq, Abdul Hafid Atmojo, Fattah Satrio Atmojo, Fernando Winantya Aulia, Sherina Revita Awang Long, Zalizah Bagus Muhammad Latif Bangun Prajadi Cipto Utomo Bondan Wahyu Pamekas Carolina Wibowo, Anita Dwi Hartanti Dwi Kurniawan Saputro Edy Kurniawan Eko Purwanto Faiq Muhammad, Nibras Fendi Untoro Feri Setiyono Gabriel Ardana Gabriel Yafet Ardana Hasanah, Herliyani Herliyani Hasanah Ibnu Bagus Setiawan immaculata yolia dewi Widayanti Indah Nofikasari Indriyas Kukuh Wijayanti Intan Oktaviani Irawan, Etwin Hendri Irwan Budianto Krisna Joko Purjianto Kurniawan, Daniel Ade Mahendra Abdul Rahman, Rizqy Maskhul Ryan Ibrahim Maulindar, Joni Muhammad Hafizh Al Mustofa Muhammad Ilham Pratama Muhammad Nibras Faiq Muhammad Rais Ramadhani Mumu, Raul Galvin Rudolf Munaiseche, Christian Imanuel Musarof Morisrona Muttaqi, Bagas Ningsih, Pipin Widya Novemy Triyandari Nugroho Novianto, Novianto Nugroho, Mohammad Yusuf Nurhayati Nurhayati Nurlita, Catarina Ivanda Nurmalitasari Nurmalitasari Nurmalitasari Nurmalitasari Permatasari, Hanifah Pipit Vidianti Pramono Pramono Pramono Pramono Prasetya, Ian Putra Prastyo, Okik Dwi Pratama, Wahyu Adi Putra Prasetya, Ian Putra Prasetya Putra Pratama, Dita Putra, Wihan Perkasa Nugraha Ragil Saputro, Abdullah Rahadian, Dwiki Rasya Rahma Fauzia Madaningrum Ramadhani, Rafli Rudi Susanto Rukmini, Siti Safina Callistamalva Arindrajaya Santoso, Tri Djoko Saputra, Muchammad Yoga Sari, Nur Avia Adenta Setrayana, Abiyyu Sholeh Abdul Irfan Torodipo Sholeh, Ilham Sholichin, Achmad Singgih Purnomo Sopingi SRI SUMARLINDA Sulistyo Wahyu S Suryadi, Agung Suryani, Fajar Suryani, Fajar Suryani Taufik Hidayat Tejo Arum, Dinenda Tri Djoko Santosa Untoro, Fendi Uvi Firgianingsih Uvi Firgianingsih Vihi Atina Widayanti, immaculata yolia dewi Wijayanti, Indriyas Kukuh Wijiyanto Yommy Adhiwira Yudha Yunita Wisda Tumarta Arif Zalizah Awang Long Zalizah Awang Long