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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Buana Informatika Dinamika Informatika Jurnal Teknologi MAGISTRA Sinergi Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) Seminar Nasional Informatika (SEMNASIF) INFORMATIKA Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Creative Information Technology Journal Jurnal Sains dan Informatika MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ CSRID (Computer Science Research and Its Development Journal) Informasi Interaktif JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Suara Keadilan Technologia: Jurnal Ilmiah KURVATEK Jurnal Tecnoscienza Respati Jurnal Sistem Komputer & Kecerdasan Buatan Journal of Computer System and Informatics (JoSYC) Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Madani : Indonesian Journal of Civil Society JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Teknimedia: Teknologi Informasi dan Multimedia Journal of Electrical Engineering and Computer (JEECOM) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Senopati : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Journal of Applied Sciences, Management and Engineering Technology (JASMET) Jurnal Ekonomi dan Teknik Informatika Transformasi Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Dinamika Informatika (JDI) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) PELS (Procedia of Engineering and Life Science) JAIA - Journal of Artificial Intelligence and Applications Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi EXPLORE Prosiding University Research Colloquium COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Journal of Information Technology and society (JITS) Teknomatika: Jurnal Informatika dan Komputer Explore Jurnal Teknologi SWAGATI: Journal of Community Service
Andi Sunyoto
Universitas Amikom Yogyakarta
Humanities Chemical Engineering, Chemistry & Bioengineering 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 Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation Other

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Analisis Perbandingan Klasifikasi dalam Data Mining pada Prediksi Hujan dengan menggunakan Algoritma LSTM dan GRU Cahyo, D. Diffran Nur; Sunyoto, Andi
Jurnal Sains dan Informatika Vol. 11 No. 1 (2025): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v11i1.1212

Abstract

Hujan memiliki dampak signifikan terhadap berbagai sektor, seperti pertanian, transportasi, dan manajemen sumber daya. Oleh karena itu, akurasi prediksi hujan sangat penting untuk mendukung perencanaan dan pengambilan keputusan yang efektif. Seiring kemajuan teknologi, pemanfaatan metode deep learning seperti Long Short-Term Memory (LSTM) dan Gated Recurrent Unit (GRU) semakin berkembang dalam bidang prediksi cuaca. Penelitian ini bertujuan untuk membandingkan performa kedua algoritma tersebut dalam mengklasifikasikan data meteorologi untuk prediksi hujan. Dataset yang digunakan berasal dari Australian Bureau of Meteorology melalui Kaggle, terdiri dari 145.460 data dengan 23 atribut. Setelah melalui tahapan pra-pemrosesan dan resampling menggunakan metode SMOTE, kedua model dievaluasi menggunakan metrik akurasi, presisi, recall, dan F1-score. Hasil menunjukkan bahwa model LSTM memperoleh akurasi sebesar 81,46%, sedangkan GRU sebesar 81,39%. Nilai F1-score GRU lebih tinggi dibandingkan LSTM, masing-masing sebesar 60,96% dan 58,95%. Hasil ini mengindikasikan bahwa kedua model memiliki performa yang kompetitif dan efektif untuk diterapkan dalam sistem prediksi hujan berbasis deep learning.
Improving Tomato Ripeness Classification Using Knowledge Distillation and Hyperparameter Optimization with Optuna Sholihin, Iasya; Sunyoto, Andi
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.11266

Abstract

Automatic classification of tomato ripeness plays a crucial role in ensuring post-harvest quality and efficiency in the horticultural industry. This study proposes a combined strategy of Knowledge Distillation (KD) and hyperparameter optimization using Optuna to improve the accuracy of the ResNet50 student model by leveraging the performance of a MobileNetV2 teacher model.We used a publicly available Kaggle dataset containing 8,540 images, categorized into four ripeness levels (green, red, ripe, and rotten), comprising 7,157 training images and 1,383 validation images.Each image was resized to 224×224 pixels; light augmentation techniques (random rotation, brightness–contrast adjustment, flipping, and Gaussian blur) were applied only to the training set to prevent overfitting while maintaining consistency during evaluation.The MobileNetV2 teacher model was initially fine-tuned on the last 20 layers using manual hyperparameters (freeze_until = 20, dropout = 0.6), achieving an accuracy of 85.8%.Subsequent tuning via Optuna identified the optimal configuration (freeze_until = 91, dropout_rate = 0.5055), which improved the teacher’s performance to 89.6%.The resulting teacher model was then used to distill knowledge into the ResNet50 student: under manual settings, the student’s accuracy improved from 55.24% to 73.25%; when the student model was also optimized using Optuna, its accuracy surged to 85.54% nearly matching the teacher.Further evaluation using a confusion matrix and ROC curves revealed an increase in per-class AUC to the range of 0.91–0.99 in the KD + Optuna student model, confirming that this method effectively closes the performance gap between student and teacher.These findings demonstrate that combining KD with Optuna-based hyperparameter optimization is an effective approach for producing a lightweight, fast, and highly accurate tomato ripeness classification model ready for deployment in field applications to support post-harvest decision-making.
Pelatihan Branding dan Digital Marketing untuk Meningkatkan Nilai Jual pada UKM Vigaza Farm Andriani, Ria; Astria, Kadek Kiki; Sunyoto, Andi
Madani : Indonesian Journal of Civil Society Vol. 7 No. 2 (2025): Madani : Agustus 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/d4wvhv88

Abstract

As part of the Sleman Millennial Farmers Group, Vigaza Farm SME has great potential in developing quail farming products. However, this business is still hampered by issues related to brand identity management, packaging design quality, and suboptimal digital marketing strategies, which have implications for low sales value and competitiveness. Through community service activities, this program focuses on enhancing branding and digital marketing capabilities for the managers of Vigaza Farm. The training was conducted on June 21, 2025, at Building 2 of Amikom University Yogyakarta, attended by 10 participants comprising owners, staff, and internal members. The implementation methods included socialization, training, technology application, as well as mentoring and evaluation. The materials covered basic branding concepts, visual identity creation (logo, brand colors, typography), packaging design development, and an introduction to simple digital marketing strategies. Evaluation results showed a significant improvement in participants' understanding. Before the training, 75% of participants were in the “understand” category (score 4) and 25% in the “very understand” category (score 5). After the training, 75% of participants were in the very knowledgeable category (score 5) and 25% in the knowledgeable category (score 4). This activity produced two ready-to-use packaging designs, namely “Sambal Telur Puyuh Kencana” and “Puyuh Kencana Frozen,” which met branding principles and were suitable for promotion. These results demonstrate the effectiveness of the training in enhancing branding and digital marketing skills, although further guidance is still needed for optimizing online promotions.
Co-Authors *, Pramono A.A. Ketut Agung Cahyawan W Aam Shodiqul Munir Abdul Jalil Rozaqi Abdul Jalil Rozaqi Abdul Mizwar A. Rahim Abidarin Rosidi Abidarin Rosidi Ade Kurniawan kurniawan Ade Pujianto Afis Julianto Afis Julianto Agus Harjoko Agus Harjoko AGUS PURWANTO Ahmad Sanusi Mashuri Aidina Ristyawan, Aidina Alva Hendi Muhammad Alva Hendi Muhammad Alva Hendi Muhammad Muhammad Ana Wati Ndarbeni Anna Baita Annas Al Amin Arif Sutikno Asro Nasiri Asro Nasiri Asro Nasiri Astria, Kadek Kiki B, Arijal Bambang Soedijono Bambang Soedijono WA Banu Dwi Putranto Bayu Anugerah Putra Bayu Setiaji Bonifacius Vicky Indriyono Bonifacius Vicky Indriyono, Bonifacius Vicky Cahyo, D. Diffran Nur Dhanar Intan Surya Saputra Diansyah, Ahmad Febri Dwi Sari Widyowaty Dwi Yuli Prasetyo Eka Yulia Sari Eko Pramono Eko Pramono Ema Utami Emha Taufiq Luthfi Emha Taufiq Luthfi Ferry Wahyu Wibowo Ferry Wahyu Wibowo Firdiyan Syah Fitri Handayani Gagah Gumelar Gori, Takhamo Hani Atun Mumtahana Hani Atun Mumtahana Hani Setiani Hanif Al Fatta Hanif Al Fatta Hanif Al Fatta Hanif Al Fatta Harianto, Harianto Hidayat Hidayat Ibnu Hadi Purwanto Ikhwan Baidlowi Sumafta Ikmah Ikmah Indah Nofikasari Indra Irawanto Ismail, Muhamad Yusuf Isthigosah, Maie K Kusrini Kapti . kurniawan, Ade Kurniawan Kurniawan, Mei P Kusnawi Kusnawi Kusnawi Kusnawi Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Liana Trihardianingsih Licantik M rudyanto Arief M. Afriansyah M. Hanafi M. Rudyanto Arief M. Suyanto M. Suyanto, M. M. Syukri Mustafa Maie Istighosah Mei P. Kurniawan Mohammad Suyanto Mudawil Qulub Muhammad Rudyanto Arief Muhammad Setiyawan Muhammad, Anva Hendi Muhartini, Sitti Mumtahana, Hani Atun Mursyid Ardiansyah Nalendra, Adimas Ketut Nasiri, Asro Nizar Haris Masruri Ni’matur Rohim Noordin Asnawi Norlaila2 Nugraha, Anggit Ferdita Nulngafan, Nulngafan Nur Arifin Akbar Parsiyono Parsiyono Patmawati Patmawati, Patmawati Pramono * Putranto, Dinar Wakhid Quratul Ain Rafli Junaidi Kasim Rahim Jamal Rahmat Hidayat Raynaldi Fatih Amanullah Ria Andriani Rifda Faticha Alfa Aziza Rifqi Mulyawan Riyanto, Thomas Pramuji Singgih Riza Marsuciati Rizfi Syarif Rizky Arya Kurniawan Rudi Prietno Sahirul Muklis Saiful Bahri Salmuasih - Samsul Bahri Sari, Rita Novita Setiawan Budiman Sholihin, Iasya Silvi Agustanti Bambang Singgih Arif Widodo Slamet Triyanto Soedijono W A, Bambang Sudarmawan Sudarmawan Sudarmawan, Sudarmawan Sudiana Sudiana Sukresno Sukresno Sulistyowati Sulistyowati Suliswaningsih Suliswaningsih Supomo, Eko Sutejo, Danang Syah, Firdiyan Syah, Firdiyan Syukirman Amir TONNY HIDAYAT Ulinuha, Hinova Rezha W., Bambang Soedijono WA, Bambang Soedijono Wahyu Caesarendra Wahyu Hidayat Wihayati, Wihayati Windarni, Vikky Aprelia Windha Mega Pradnya Dhuhita Wing Wahyu Winarno Yoga Dwi Pambudi Yoga Pristyanto Yohanes Setyo Prabowo, Yohanes Setyo Yusuf Sutanto Zaipin, Zaipin