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Implications of Deep Learning for Stock Market Forecasting Supendi; Kumala, Devi; Yulianti, Maria Lusiana
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2281

Abstract

This research explores the effectiveness of using deep learning in predicting stock market movements. This research uses rigorous methods to bring out the performance of deep learning models, compare them with traditional methods, and identify critical factors that influence stock market predictions. The research results show that deep learning models, especially LSTM and CNN-LSTM architectures, can achieve satisfactory levels of accuracy and outperform traditional methods by capturing patterns in complex stock market data. In addition, this research identifies external and internal factors that influence predictions of stock market movements. This research's practical and theoretical implications highlight the potential of deep learning in improving investment decision-making and understanding financial market dynamics. Recommendations for future research include exploration of advanced deep learning techniques, integration with traditional methods, emphasis on risk management strategies, continuous evaluation of model performance, and provision of training and education to encourage analysts and investors to adopt this technology. By implementing these recommendations, the potential of deep learning models in financial analysis can be optimized, ultimately improving market efficiency and investment returns.
PENGARUH MOTIVASI DAN PENGAWASAN TERHADAP DISIPLIN KERJA PEGAWAI PADA DINAS PARIWISATA KABUPATEN SUKABUMI Tita Yulianara; Dendi Zainuddin Hamidi; Angga Pramadista; Supendi
Jurnal Manajemen Bisnis Almatama Vol. 2 No. 2 (2023): September
Publisher : Jurnal Manajemen Bisnis Almatama

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Abstract

Memiliki pegawai dengan disiplin kerja yang tinggi senantiasa menjadi keinginan setiap institusi. Penelitian ini bertujuan untuk mengetahui faktor yang dominan mempengaruhi disiplin kerja pegawai pada Dinas Pariwisata Kabupaten Sukabumi. Faktor yang dimaksud dibatasi hanya pada motivasi dan pengawasan, sesuai dengan fenomena pada observasi awal pra penelitian. Survei dilakukan terhadap seluruh pegawai Dinas Pariwisata Kabupaten Sukabumi dengan memberikan kuesioner tertutup pada satu waktu (cross sectional). Data primer yang terkumpul diolah dengan analisis regresi linier berganda menggunakan IBM SPSS 26. Hasil penelitian menunjukkan bahwa motivasi secara parsial memiliki pengaruh yang tidak signifikan disiplin kerja pegawai pada Dinas Pariwisata Kabupaten Sukabumi. Adapun pengawasan secara parsial memiliki pengaruh yang signifikan terhadap disiplin kerja pegawai pada Dinas Pariwisata Kabupaten Sukabumi. Sementara secara simultan, kedua faktor tersebut memiliki pengaruh signifikan terhadap disiplin kerja pegawai pada Dinas Pariwisata Kabupaten Sukabumi. Penelitian ini memiliki konstribusi terhadap penelitian mengenai disiplin kerja pegawai, dan diharapkan dapat menjadi acuan bagi pimpinan pada Dinas Pariwisata Kabupaten apabila bermaksud meningkatkan disiplin kerja pegawainya.
ANALISIS PEMANFAATAN MEDIA PEMBELAJARAN VIDEO INTERAKTIF UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS V SDN GEDONG DALEM 03 KOTA CILEGON Supendi; M.Pd., Beni Junedi; S.Pd., M.Pd.T. , Ade Fricticarani
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 04 (2025): Volume 10 No. 04 Desember 2025 Build
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i04.34592

Abstract

The aim of this research is to increase students' interest and motivation to learn and make it easier to understand abstract or difficult learning material concepts that can be visualized through interactive videos, increasing students' active involvement in the learning process. The subjects in this research were fifth grade students at SDN Gedong Dalem 03, the principal, teacher council and experts in the field of education. The method in this research uses qualitative research methods and data collection is used in the form of qualitative data which includes observation data, interviews, questionna-ires, and photos of implementation activities. The collected data is then analyzed to formulate results based on the assessment. Assessment by experts = 88.0%, by class teachers = 85.6%, students regarding interactive video learning media = 91.7%, limited group trials from ten respondents = 93.8%, from the results of the student response questionnaire on field test = 87.8%. The analysis results are acumulated with the criteria "Very Good". Based on the results of the data analysis, it can be concluded that the use of interactive video learning media can increase students' interest and motivation to learn and make it easier to understand abstract or difficult concepts of learning material that can be visualized through interactive videos, as well as improve the learning outcomes of class V students at SDN Gedong Dalem 3 Cilegon City.
IDENTIFIKASI PARAMETER DAN PERANCANGAN SISTEM KENDALI PID UNTUK ANALISIS SIKAP TERBANG UAV [PARAMETER IDENTIFICATION AND DESIGN PID CONTROLLER FOR FLYING ATTITUDE ANALYSIS OF UAV] Purwanto, Eko Budi; Nasution, Syahron Hasbi; Supendi
Indonesian Journal of Aerospace Vol. 10 No. 2 Desember (2012): Jurnal Teknologi Dirgantara
Publisher : BRIN Publishing

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Abstract

Based on the state space yield first principle method knowed that characteristic of UAV is static stable. To get the near real condition doing verification of state space model by using the identification system toolbox of Matlab. The yield show that matrix element of state space is different both of them. Furher step is design the PID control system base on new state space, and for improve the performance system used Kalman filter.
Development of a Certainty Factor-Based Expert System for Nutrition Consultation and Stunting Prevention in Coastal Areas: A Case Study of Bengkalis Regency Ratnawati, Fajar; Hardinata, Niky; Supendi
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4858

Abstract

This study developed a Certainty Factor (CF)–based expert system to support nutrition consultation and stunting prevention in coastal settings using Bengkalis Regency as a case study. A design science approach was employed to analyze local service constraints, acquire expert knowledge, formalize a rule base, implement an offline-first prototype (mobile client and admin dashboard), and evaluate its performance. Knowledge was elicited from nutritionists, midwives, and community health workers and encoded as IF–THEN rules with expert confidence weights; Evidence (anthropometry, infection history, infant and young child feeding, sanitation, and socioeconomic factors) was mapped to CF values ​​and combined to yield risk scores and categories with explainable rule traces. Functional testing showed all user-story scenarios passed as expected, while initial expert validation and usability checks indicated the prototype provided rapid and standardized assessments suitable for first-line services. The results suggest the CF approach is feasible for coastal contexts with limited connectivity and can accelerate early screening and referrals. Future work will expand the local knowledge base, integrate electronic records, and conduct wider field trials to measure effectiveness at scale