Article Per Year (5 Year)
p-Index From 2020 - 2025
9.552
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Advances in Applied Sciences Media Teknik Sipil SAINS MEDIKA : JURNAL KEDOKTERAN DAN KESEHATAN PHARMACON International Journal of Renewable Energy Development Nurse Media Journal of Nursing Bioma : Berkala Ilmiah Biologi JURNAL ANATOMI FISIOLOGI SAINS DAN MATEMATIKA Animal Agricultural Journal Media Penelitian dan Pengembangan Kesehatan AL KAUNIYAH Techno.Com: Jurnal Teknologi Informasi Indonesian Journal of Mathematics and Natural Sciences Jurnal Bahan Alam Terbarukan Sainteknol : Jurnal Sains dan Teknologi Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Peternakan Indonesia Teknofisika Jurnal Informatika dan Teknik Elektro Terapan Biology, Medicine, & Natural Product Chemistry POROS TEKNIK Jurnal Media Hukum Konversi Indigenous: Jurnal Ilmiah Psikologi Public Health of Indonesia Jurnal Ilmiah Pertanian MEDIAPSI JLBG (Jurnal Lingkungan dan Bencana Geologi) (Journal of Environment and Geological Hazards) Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini JOURNAL OF APPLIED INFORMATICS AND COMPUTING Communications in Science and Technology Biosaintifika: Journal of Biology & Biology Education Berkala Bioteknologi Buletin Anatomi dan Fisiologi (Bulletin of Anatomy and Physiology) KOMPUTIKA - Jurnal Sistem Komputer Biota Journal of Aero Technology Journal of Education, Humaniora and Social Sciences (JEHSS) Jurnal Ilmu Kefarmasian Indonesia UPEJ Unnes Physics Education Journal Indonesian Physical Review Indonesian Comparative Law Review Abdimas Universal Jurnal Suara Hukum Physics Communication Jurnal Ilmiah Ar-Risalah: Media Ke-Islaman, Pendidikan, dan Hukum Islam Jurnal Pasopati : Pengabdian Masyarakat dan Inovasi Pengembangan Teknologi Community Empowerment ELEMENTARY : Jurnal Inovasi Pendidikan Dasar Media of Law and Sharia Jurnal DIDASKO Jurnal Abdi Masyarakat Indonesia Journal of Education Research Ritornera - Jurnal Teologi Pentakosta Indonesia Agrikan: Jurnal Agribisnis Perikanan SENTRI: Jurnal Riset Ilmiah Jurnal Pendidikan, Sains dan Teknologi Jurnal Karya Abdi Masyarakat Journal of Artificial Intelligence and Digital Business Applied Quantitative Analysis (AQA) International Journal of Curriculum Development, Teaching and Learning Innovation Rechtsnormen Journal of Law International Journal of Emerging Research and Review Journal of Research and Inovation in Civil Engineering as Applied Science Jurnal Studi Manajemen Bisnis Biosaintifika: Journal of Biology & Biology Education International Journal of Education, Vocational and Social Science Jurnal Kefarmasian Indonesia Tunas: Jurnal Penelitian Pendidikan Dasar Journal of Engineering and Technological Sciences KINERJA : Jurnal Ekonomi dan Bisnis Jurnal Penelitian Pendidikan JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Sunarno Sunarno
Politeknik Negeri Balikpapan
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering 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 Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 120 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 120 Documents
Search

 8   9   10   11   12 
Analysis of Intrinsic Elements in the Novel “Makrifat Cinta” by Candra Malik: Structuralism Theory Sunarno, Sunarno; Supratno, Haris; Subandiyah, Heny
International Journal of Emerging Research and Review Vol. 3 No. 1 (2025): March
Publisher : IKIP Widya Darma Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56707/ijoerar.v3i1.95

Abstract

Objective: This research aims to analyze the intrinsic elements in the novel Makrifat Cinta by Candra Malik, focusing on how these elements interact to convey Sufi values, while also situating them within the broader context of literary discourse. Method: This research employs a qualitative descriptive method with a structuralism approach. The analysis was conducted systematically in several stages, beginning with the identification of the intrinsic elements in the novel, including theme, plot, characters, point of view, and language style. Results: The results of the analysis show that the main theme of this novel is the spiritual journey of humans to know God through love (mahabbah) as a path to ma'rifah (knowledge of God). The storyline uses a mixed plot, which moves forward and backward, reflecting a non-linear spiritual journey. The characters in the novel represent Sufistic concepts, where the main character places God as the ultimate goal of his life. The point of view used is first person (confession), giving emotional and spiritual depth to the reader. The language style used combines Indonesian with Sufistic terms and symbolic metaphors, emphasizing the deep meaning of the spiritual journey. Novelty: This research lies in the application of Structuralism Theory to examine the connection between the text's structure and the Sufi values presented. This approach offers a valuable contribution to Indonesian literary studies by focusing on the Sufi dimensions, a perspective that is seldom explored in structuralism theory.
Penerapan Algoritma Linear Regression dan Support Vector Regression dalam Prediksi Temperatur Udara di Malang Karnisih, Karnisih; Sunarno, Sunarno; Iqbal, Iqbal; Djuniadi , Djuniadi; Pribadi, Feddy Setio
Techno.Com Vol. 24 No. 1 (2025): Februari 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i1.12094

Abstract

Perubahan iklim global dan peningkatan variabilitas cuaca membuat prediksi temperatur udara menjadi salah satu kebutuhan penting di berbagai sektor. Temperatur udara merupakan parameter penting dalam meteorologi yang mempengaruhi berbagai aspek kehidupan manusia. Predisi temperatur udara saat ini banyak memanfaatkan algoritma machine learning, namum nilai akurasi masih belum optimal. Tujuan dari penelitian ini untuk meningkatkan akurasi prediksi temperatur udara rata-rata dengan menggunakan pendekatan berbasis machine learning. Metode dalam penelitian ini menggunakan algoritma Linear Regression dan Support Vector Regression (linier dan gaussian non linear) karena memiliki akurasi prediksi data yang cukup baik di berbagai bidang termasuk bidang hidrologi. Penelitian ini menggunakan data dari Badan Meteorologi Klimatologi dan Geofisika (BMKG) lokasi Stasiun Klimatologi Jawa Timur periode data tahun 2019-2023 dengan parameter cuaca temperatur rata-rata (TAV), kelembaban udara (HAV), kecepatan angin (WAV), curah hujan (RR), tekanan udara (PPP), Penyinaran matahari (SUN) dan titik embun (DEW_POINT). Kinerja model dievaluasi menggunakan pengukuran metrik MSE, RMSE, MAE, MAPE dan R². Hasil pengukuran kinerja model algoritma Gaussian support vector Regression (non linier SVR) lebih baik dibanding dengan linear support vector Regression (linear SVR) dan  algoritma linear regression dengan nilai yang lebih tinggi R² sebesar  0,9891 ± 0,0011 dan nilai error yang lebih rendah pada semua metrik pengukuran. Kata kunci: Prediksi temperatur udara, machine learning, Linear Regression,  Suport Vektor Regression
Pembangunan Tempat Wudhu di Masjid Graha Poltekba Rus, Tatag Yufitra; Gozali, Gozali; Kusuma, Bambang Jati; Wibawaning, Sara; Sunarno, Sunarno
Jurnal Karya Abdi Masyarakat Vol. 5 No. 3 (2021): Jurnal Karya Abdi Masyarakat
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (899.71 KB) | DOI: 10.22437/jkam.v5i3.16280

Abstract

Masjid Graha Poltekba yang berlokasi di Perumahan Graha Poltekba Jl. Soekano Hatta KM. 8 Kelurahan Graha Indah Kota Balikpapan masih dalam tahap pembangunan. Masjid ini pertama kali dimulai pembangunannya pada Tahun 2020 dengan mengandalkan sumber keuangan berasal dari swadaya masyarakat yang bermukim di Perumahan tersebut. Masjid ini pertama kali digunakan sebagai tempat ibadah untuk sholat jama’ah pada awal bulan Maret 2021. Masjid ini memiliki luas bangunan sekitar 81 m2, dengan total kapasitas jama’ah sekitar ±100 orang. Kebutuhan akan tempat wudhu yang memiliki kapasitas memadai diperkirakan sekitar 8-10 keran air, sehingga proses pelaksanaan wudhu dapat dilalui dengan baik karena kapasitas yang memadai atau dengan kata lain mengurangi waktu tunggu antrian wudhu atau bersuci. Kegiatan Program Pengabdian Kepada Masyarakat ini menghabiskan dana Rp. 25.000.000 dengan penyelesaian seluruh pekerjaan bersama warga atau jamaah Masjid (gotong royong) dengan durasi total pekerjaan sekitar 3 bulan lamanya. Rincian penyelesaian pekerjaan yang dilakukan dimulai dengan tahapan persiapan, perencanaan, dan pekerjaan pembangunan tempat wudhu.
Analisis Sistem Pengendalian Intern Pemerintah Dan Peran Pengelolaan Keuangan Daerah Terhadap Kinerja Pemerintah Daerah Dengan Komitmen Organisasional Sebagai Variabel Intervening (Studi pada Kecamatan Jepara di Kabupaten Jepara) Afifuddin, M. Aris; Sukirman, Sukirman; Sunarno, Sunarno
Jurnal Studi Manajemen Bisnis Vol 1, No 1 (2021): Jurnal Studi Manajemen Bisnis
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/jsmb.v1i1.8110

Abstract

The performance of regional governments can be influenced by various factors, including internal control systems, regional financial management and organizational commitment. The study aims to analyze the effect of internal control systems on organizational commitment, regional financial management on organizational commitment, internal control systems on local government performance, regional financial management on performance, organizational commitment to performance, the effect of internal control systems on local government performance through organizational commitment, the influence of regional financial management on the performance of local governments through organizational commitment to employees in Jepara District, Jepara Regency.This research is explanatory research. The research subjects were all employees at the village and village offices in Jepara sub-district, Jepara Regency with a total sample of 152 employees. The instrument for collecting data was a questionnaire. Hypothesis testing is analyzed using SEM (Structural Equation Modeling).The results of the study stated that the system of internal control and regional financial management affects the performance of local governments. The internal control system and regional financial management influence the organizational commitment. Organizational commitment influences the performance of local government. Internal control systems and regional financial management affect the performance of local governments through organizational commitment.Keywords: internal control system, regional financial management, organizational commitment, local government performance.Kinerja pemerintah daerah dapat dipengaruhi oleh berbagai faktor, diantaranya yaitu sistem pengendalian intern, pengelolaan keuangan daerah dan komitmen organisasi. Penelitian bertujuan untuk menganalisis pengaruh sistem pengendalian intern terhadap komitmen organisasi, pengelolaan keuangan daerah terhadap komitmen organisasi, sistem pengendalian intern terhadap kinerja pemerintah daerah, pengelolaan keuangan daerah terhadap terhadap kinerja,  komitmen organisasi terhadap kinerja,  pengaruh sistem pengendalian intern terhadap kinerja pemerintah daerah melalui komitmen organisasi, pengaruh pengelolaan keuangan daerah terhadap kinerja pemerintah daerah melalui komitmen organisasi pada pegawai di Kecamatan Jepara Kabupaten Jepara.Penelitian ini adalah penelitian explanatory. Subyek penelitian adalah semua pegawai pada kantor kelurahan dan desa di kecamatan Jepara Kabupaten Jepara dengan jumlah sampel yang diambil adalah sebanyak 152 pegawai. Instrumen proses pengumpulan data adalah kuesioner. Pengujian hipotesis dianalisis menggunakan SEM (Structural Equation Modeling).Hasil penelitian menyatakan bahwa sistem pengendalian intern dan pengelolaan keuangan daerah berpengaruh terhadap kinerja pemerintah daerah. Sistem pengendalian intern dan pengelolaan keuangan daerah berpengaruh terhadap komitmen organisasi. Komitmen organisasi berpengaruh terhadap kinerja pemerintah daerah. Sistem pengendalian intern dan pengelolaan keuangan daerah berpengaruh terhadap kinerja pemerintah daerah melalui komitmen organisasional 
Earthquake epicenter prediction from the Java-Bali radon gas telemonitoring station using machine learning Putranto, Christophorus Arga; Sunarno, Sunarno; Faridah, Faridah; Pratama, Thomas Oka
International Journal of Advances in Applied Sciences Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i1.pp39-45

Abstract

Predicting the location of earthquake epicenters is a critical aspect of earthquake forecasting, as it complements efforts to determine the time and magnitude of seismic events. This research addresses the challenge posed by the uncertainty in epicenter locations, particularly along the extensive plate faults of Indo-Australia and Eurasia. In these regions, effective earthquake prediction is compromised without accurate epicenter information, impeding mitigation strategies and complicating disaster impact estimation. The primary objective of this study is to devise an algorithm for forecasting earthquake epicenter locations by harnessing variations in radon gas concentrations on southern Java Island, Indonesia, as a predictive precursor. Using a supervised machine learning approach, this study integrates radon gas concentration data to predict the distance between a radon gas telemonitoring station and the impending earthquake epicenter. Three distinct machine learning algorithms were evaluated using data from six Java-Bali radon gas telemonitoring stations within an early warning system. The random forest algorithm emerged as the most effective, yielding an average root mean square error of 453.10 kilometers. The findings of this research significantly contribute to earthquake risk mitigation efforts. This work enhances our capability to anticipate seismic events, and more effective disaster preparedness and response strategies in earthquake-prone regions.
Physicochemical characterization of coconut shell liquid smoke and its potential as a natural preservative for fish balls Mutamima, Anisa; Sunarno, Sunarno; Al'farisi, Cory Dian; Dewi, Wahyu Narulita; Trisno, Agung; Barus, Surya Danta Alberto
Jurnal Ilmiah Pertanian Vol. 22 No. 1 (2025): Jurnal Ilmiah Pertanian
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jip.v22i1.23850

Abstract

Synthetic preservatives in food products pose potential health risks and environmental concerns, leading to an increasing demand for natural alternatives. This study evaluates the physicochemical properties of liquid smoke derived from coconut shells and its potential as a natural preservative for fish balls. The production of liquid smoke involved torrefaction at 250°C, followed by purification through distillation and adsorption with activated carbon. The liquid smoke was characterized by a pH of 2.86, a density of 1.058 g/mL, and a total titratable acidity of 8.95%, meeting the Indonesian National Standard for Crude Lignocellulose Liquid Smoke (SNI 8985:2021). GC-MS analysis revealed that acetic acid (80.87%) and phenol (8.90%) were the predominant compounds, contributing to its antimicrobial properties. The efficacy of liquid smoke as a preservative was tested on fish balls at concentrations of 3%, 5%, and 7%. The best preservation effect was observed at 7% concentration, which resulted in the lowest total plate count (2.35 × 10⁶ CFU/g) after one day of storage at room temperature. These findings suggest that coconut shell-derived liquid smoke exhibits promising physicochemical characteristics and antimicrobial properties, making it a potential natural alternative to synthetic preservatives for food preservation.
Pemahaman dan Praktik Moderasi Beragama oleh Guru Raudhatul Athfal (RA) di Kota Kediri Qamaria, Rezki Suci; Sunarno, Sunarno; Sintawati, Dwi; Khasanah, Miftakul
Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini Vol. 9 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/obsesi.v9i1.6663

Abstract

Kunci utama pengajaran moderasi beragama pada jenjang PAUD atau RA adalah peran para guru. Tujuan penelitian ini adalah untuk mengkaji pemahaman guru RA di Kota Kediri terkait moderasi beragama dan penerapannya dalam praktik mengajar. Metode penelitian yang digunakan adalah kualitatif dengan jenis studi kasus. Informan berjumlah enam (6) guru RA di tiga sekolah RA di Kota Kediri yang sudah direkomendasikan oleh Kementerian Agama Kota Kediri. Data wawancara, observasi, dan dokumentasi yang sudah terkumpul dianalisis dengan menggunakan analisis tema. Hasilnya adalah, guru memahami bahwa prinsip moderasi beragama meliputi rasa saling menghargai dan menolong, menghormati, toleran, dan rukun dengan keberagaman yang ada di lingkungan sekitar khususnya terkait keyakinan dan budaya. Selain itu, materi moderasi beragama termuat dalam kurikulum yang diinterpretasi ke dalam Rancangan Pelaksanaan Pembelajaran (RPP). Adapun bentuk praktik pembelajaran dengan muatan moderasi beragama dilakukan secara lisan/ceramah dengan memanfaatkan alat peraga, gambar-gambar, video youtube, permainan, nyanyian dan tepuk, cerita, dan peristiwa sehari-hari. Indikator keberhasilan pembelajaran ditunjukkan melalui antusiasme siswa bertanya ketika membahas materi moderasi, siswa menunjukkan perilaku menghargai perbedaan yang ada di lingkungan sekolah, dan siswa terbiasa mengucapkan empat kata ajaib yaitu terima kasih, permisi, maaf, dan tolong kepada orang di sekitarnya. Penelitian ini memberikan wawasan tentang strategi integrasi moderasi beragama dalam pembelajaran usia dini.
Uji in Vitro dan in Vivo Aktivitas Inhibitor -Amilase Ekstrak Khamir Endofit Tanaman Brotowali (Tinospora crispa, L.) sebagai Antiobesitas Oktavia, Anik; Pujiyanto, Sri; Sunarno, Sunarno
Berkala Bioteknologi Vol. 1, No. 2, November 2018
Publisher : Berkala Bioteknologi

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

Abstract

Brotowali mengandung senyawa triterpenoid (saponin) yang bersifat antimakan (antifeedant) karena rasanya yang pahit dan kemampuan dalam menurunkan kerja enzim pencernaan (protease dan amilase). Penelitian ini bertujuan menganalisis kemampuan ekstrak etil asetat isolat khamir endofit pada tanaman Brotowali (Tinospora crispa, L.) berfungsi sebagai inhibitor α-amilase untuk penurunan kadar lemak abdominal, lemak subkutan, dan bobot badan pada tikus. Campuran reaksi uji inhibitor α-amilase dengan ekstrak 1%, 5%, 10% dan acarbose 0,1% sebesar 25 μl, uji kontrol ditambah aquades 25 μl. Enzim sebesar 475 μl dicampurkan dan diinkubasi pada suhu 25°C selama 10 menit. Substrat amilum sebesar 500 μl ditambahkan ke dalam campuran reaksi dan diinkubasi pada suhu 25°C selama 10 menit. Reaksi dihentikan dengan 2 ml DNS. Semua larutan yang telah dicampurkan dipanaskan pada suhu 100°C selama 5 menit dan didinginkan. Larutan yang dihasilkan dengan perubahan warna kemudian diukur absorbansinya menggunakan spektrofotometri pada panjang gelombang 540 nm. Penelitian in vivo menggunakan Rancangan Acak Lengkap (RAL) yang terdiri dari 5 perlakuan dengan 3 kali ulangan, yaitu kelompok kontrol, perlakuan acarbose 0,1% dan perlakuan ekstrak isolat khamir endofit DG26 dosis 40 mg, 50 mg, dan 60 mg. Pemberian pakan dan minum secara ad libitum. Hasil uji in vitro ekstrak 1% memiliki kemampuan inhibisi terhadap α-amilase sebesar 10,87%, hampir sama dengan acarbose sebesar 9,52%. Hal ini menunjukkan bahwa isolat terpilih yaitu isolat khamir endofit DG26 memiliki potensi untuk dimanfaatkan sebagai inhibitor α-amilase. Hasil uji in vivo menunjukkan bahwa pemberian ekstrak khamir endofit DG26 berpengaruh signifikan pada penurunan bobot lemak abdominal dan lemak subkutan (p<0,05). Bobot badan setelah aklimatisasi terjadi peningkatan yang menunjukkan bahwa tikus dalam keadaan sehat dan terjadi penurunan diakhir perlakuan. Berdasarkan penelitian dapat disimpulkan bahwa pemberian ekstrak isolat khamir endofit DG26 pada dosis 60 mg mampu menurunkan bobot lemak abdominal, lemak subkutan, dan menyebabkan terjadinya perbedaan penurunan bobot badan pada tikus (Rattus norvegicus).
Leukocyte Profile of Broiler Chickens (Gallus domesticus) After Consumption of Feed With Spirulina (Spirulina sp.) Feed Additives and Liquid Nano Chitosan Gunawan, Rida Arwanda; Sunarno, Sunarno; Djaelani, Muhammad Anwar; Kasiyati, Kasiyati
Al-Kauniyah: Jurnal Biologi Vol 18, No 2 (2025): AL-KAUNIYAH JURNAL BIOLOGI
Publisher : Department of Biology, Faculty of Science and Technology, Syarif Hidayatullah State Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/kauniyah.v18i2.40513

Abstract

Broilers (Gallus domesticus) are prone to stress and immune suppression due to inadequate environmental conditions and feed quality. Spirulina, known for its antioxidant and immunostimulant properties, and liquid nano chitosan, which has antibacterial activity, are considered promising feed additives for broiler health. This study aimed to evaluate the effects of Spirulina flour, liquid nano chitosan, and their interaction on broiler leukocyte profiles. A factorial completely randomized design was used, with six treatment groups and four replications. Treatments included a control and diets supplemented with 0; 3; or 6% Spirulina powder, combined with 0 or 5% liquid nanochitosan. The treatments were applied for 26 days. Leukocyte observations were performed using Giemsa-stained blood smears at 400× magnification. Data were analyzed using Two-Way ANOVA (α= 0.05) and the Friedman Test. Results showed normal leukocyte morphology. Spirulina supplementation had no significant effect (P >0.05) on leukocyte, heterophil, or lymphocyte counts. In contrast, 5% liquid nano chitosan significantly affected (P <0.05) leukocyte and lymphocyte numbers. No interaction between the two additives was observed. In conclusion, Spirulina (3–6%) showed potential as a feed additive, while 5% liquid nano chitosan reduced leukocyte and lymphocyte counts. These natural additives may support broiler health without altering leukocyte profiles.
Prediksi Kabut Menggunakan Recurrent Neural Network dengan Attention Mechanism di Bandara Ruteng Wiujianna, Atri; Pribadi, Feddy Setio; Djuniadi, Djuniadi; Sunarno, Sunarno; Iqbal, Iqbal
Komputika : Jurnal Sistem Komputer Vol. 14 No. 1 (2025): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v14i1.15380

Abstract

Fog phenomena pose a significant challenge in aviation operations, particularly in regions with complex topography such as Ruteng Airport. Thick fog can reduce visibility and increase flight safety risks. This study aims to develop a deep learning-based fog prediction model by comparing the performance of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) enhanced with Attention Mechanism (AM). The dataset consists of 61,187 entries, covering hourly recorded weather parameters over the past ten years (2013–2023). The experimental results show that the addition of Attention significantly improves model performance. The RNN+Attention model emerges as the best-performing model with an accuracy of 0.9981, precision of 0.7755, recall of 0.76, and F1-score of 0.7677, along with the lowest number of False Positives. Meanwhile, the LSTM+Attention model excels in reducing False Negatives, making it suitable for systems prioritizing comprehensive fog detection. Models without Attention demonstrate perfect recall (1.00), but their low precision indicates overfitting. Overall, the integration of the Attention Mechanism enhances the balance between recall and precision and improves model reliability in handling data imbalance. The contribution of this research is that it can serve as a reference for future studies in developing artificial intelligence-based weather prediction models, particularly in addressing fog phenomena. Keywords – Attention Mechanism; Long Short-Term Memory; Fog Prediction; Recurrent Neural Network
Co-Authors A. Cristina, A. Abdullah, Ridwan Aditya Wiraswan Afifuddin, M. Aris Agus Budhie Wijatna Agus Subagio Agustin, Yuli Ahmad Fadli Ahmad Faried Ahmad Syadzali Ain, Mohamad Isram M Aisyah Aisyah Al'farisi, Cory Dian Alfani, M Iram Alfarisi, Cory Dian Alfatinnisa, Zalfa Alfiandry, Muhammad Alief Rifaldi Altarawneh, Mohammednoor Amarila Malik amelia cristina, amelia Amun Amri Ananda, Khuzyia Rizqi Triavi Andriyan, Mohammad Wahyu ANGGIA PUTRI Ani Rusilowati Aretama, Lucky Barga Ari Bawono Putranto Ari Wibawa Budi Santosa Armiati, Reni Arsha, Nabila Syahadati Arsyaningrum, Aurellia Putri Budi Arum, Agnes Yustika Wulan Arwani Arwani Asiyah, Tahsya Avisha, Hafsah Azmi, Muhammad Quraish Shohibul Bambang Jati Kusuma, Bambang Jati Barus, Surya Danta Alberto Budi Setiyanto Cahya Setya Utama Christian, Michael D Martina, D Darmiyati Denny Hardiyanto Desi Heltina Desi Wulandari, Desi Dewantara, Dede Dewi Ratih Agungpriyono Dewi, Wahyu Narulita Dewita, Putri Aurora Djuniadi , Djuniadi Djuniadi Djuniadi Dumingan, Alvian Dunggio, Maryam Dwi Hartanti, Monica Dwi Joko Suroso EDY RIANTO Edy Saputra Eko Haryono Eko Retno Indriyarti Endah Puji Astuti, Endah Puji Endang Sulistyowati Erma Prihastanti Fabryza, Dhina Fanani, Ahmad Aziz Faridah Faridah Fariq, Aiman Fathi Hidayah, Fathi Fauzi, Adnan Fauzul Muna Feddy Setio Pribadi Feriadi, Yusron Fernando, Rio Agustian Gilang Fianti Fianti, Fianti Fitriana Fitriana Frimacia, Tifanny Gautam, Deepak Gozali, Gozali Gunawan, Rida Arwanda Habib, Alltop Amri Ya Harahap, Abi Hamdalah Sorimuda Haris Supratno Hartono Hartono Havid Viqri Muhammad Redha, Havid Viqri Muhammad Heru Hendrayana Hidayah, Rizki Roqissatul Huda, Fathul Huwaidah Husna, Fathiyah I Wayan Mustika Ian Yulianti, Ian Ida Zahrina Idris, Haziq Indriyanto, Erwin Iqbal Iqbal Isnaini, Muhammad Dody Jati, Pamungkas Jatmiko, Arif Budi Jaya, La Ode Irman Jiang, Zhong Tao Kambang Sariadji Kamila, Syabina Karmila Achmad Karnisih, Karnisih Kasiyati Kasiati Kasman, Alief Sadlie Khairunnisa, Nurul Fathia Khan, Omar Khasanah, Miftakul Kristanto, Rachellita Elizania Kusdar, Kusdar Kustopo Budiraharjo Leonardy, Joshu Lestari, Fiya Auliya M. Ain, Mohammad Isram M. Anwar Djaelani Magatri, Alia Laksmi Dyah Mahmuddin Mahmuddin Mariatul Kiptiah Masturi Masturi Maura, Maisya Sifana Ma’rifah, Siti Memory Motivanisman Waruwu Miran, Hussein A. Mufatihah, Nishfa Muhammad Anwar Djaelani Muhammad Ridwan Mukh Arifin Mulalinda, Stella Mulyantana, Anang Mutamima, Anisa N. Istiana, N. Nadhifah, Anisa Nanda, Widia Rizki Nastain, Muhamad NASTITI KUSUMORINI Nasution, Ahmadani Nazarudin Nelly Puspandari Noverina, Rachmawati Novi Amalia Novianti, Hetty Nur Handyka, Muhammad Ammar Nurfatihayati Nursabrina, Azra Batrisyia Nurul Istiana, Nurul Oktavia, Anik P. Dwijananti Pradieva, Christenta Tirta Pranoto, Beby Ista Pratama, Thomas Oka Pratiwi Dwijananti Prayogo, Defrian Purwaningtyas, Yoggi Ramadhani Putranto, Christophorus Arga Putri, Ratih Rinendya Putri, Rofiatul Adawiyah Qonitannisa, Shofi Rachmadya Nur Hidayah Rachmawan Budiarto Rahayu, Enik Rahman, M. Mahbubur Rahmat Wicakso, Doni Ratih Rinendyaputri Reni Yenti, Silvia Rini, Almalina Nabila Sulistyo Risanuri Hidayat Risnawan, Novan Rivetra, Amelia Hayu Rizki, Femas Arianda Rohmad Rohmad, Rohmad Rohman, Jihadul Hanif Fadlur Rony Wijaya Rudi HP Rudi Setiawan Rully Rahadian Rusadi, Alya Fakhirah Rusdy, M. Isnaini Al Sagena, Unggul Salsabila, Safira Septiandika Saputra, Aditya Lutfian Saputra, Muhammad Ragil Sara Wibawaning Respati, Sara Wibawaning Sari Dewi Panjaitan, Novaria Sari, Diah Arizki Wati Sari, Ronna Puspita Sarma, Deki Satriyo Adhy Sekarsari, Eryanti SELA SEPTIMA MARIYA Setyaji, Yekti Silelety, Angel Silvana Tana Silvia Reni Yenti Singgih Hawibowo Sintawati, Dwi Siringo Ringo, Lumayan Siti Muflichatun Mardiati siti zubaedah Sokmawati, Hajar Solikhin Solikhin Sri Isdadiyanto Sri Mulyani Sri Pujiyanto Subandiyah, Heny Subangkit Subangkit Sudarmadji Sudarmadji Sugianto Sugianto Suhendri Suhendri Sujarwata Sujarwata, Sujarwata Sukirman Sukirman Sulistyowati, Indah Dwi Sundari Sundari Suparmi Suparmi Supratno, Haris Supriyadi Supriyadi Susanty, Sri Susilo Susilo Sutaryani, Apit Sutikno Sutikno SYAIFUL BAHRI Syamsuri, KGS M Nurs Syarif Hidayat Tatag Yufitra Rus Teguh Suprihatin Telaumbanua, Yohanes Totok Sulistyo Trisno, Agung Tyas Rini Saraswati Utama, Hieronimus Adiyoga Nareswara Utama, Panca Setia Utomo, Galih R. W. P, Wasi Sakti Wasmen Manalu Wibawaning, Sara Wibowo, Suryo Wicaksono, Muhammad Tsaqif Widyatna, Nicolaus Evan Wijaya, Panca Buana Wiujianna, Atri Wulandari, Revika Yelmida Azis Yogi Prihandoko Yohanes, F. Andree Yohannes Sardjono Yudistira, Winnanda Yuni Rukminiati Yusuf, Bintang Akbar Zulfa, Laili Fitria Zulfikar, Muhamad Fikri