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All Journal Indonesian Journal of Artificial Intelligence and Data Mining Infotekmesin JIPITI: Jurnal Pengabdian kepada Masyarakat
Susmanto, Susmanto
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Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Other

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Exploring New Frontiers: XCEEMDAN, Bidirectional LSTM, Attention Mechanism, and Spline in Stock Price Forecasting Kelvin, Kelvin; Sinaga, Frans Mikael; Winardi, Sunaryo; Susmanto, Susmanto
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 2 (2024): September 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i2.29649

Abstract

The Attention Mechanism is acknowledged as a machine learning method proficient in managing relationships within sequential data, surpassing traditional models in this regard. However, the unique characteristics of stock data, including substantial volatility, multidimensionality, and non-linear patterns, present challenges in attaining accurate forecasts of stock prices. This research aims to tackle these hurdles by enhancing a prior model through the incorporation of an Attention Mechanism, resulting in an enhanced model. The forecasted data are standardized and prepared for analysis before undergoing signal decomposition into high and low-frequency components. Subsequently, the Attention Mechanism processes the high-frequency signals. Evaluation entails comparing the performance of the proposed model with that of the previous model using identical parameters. The findings indicate that the proposed model achieves a reduced RMSE value of 0.5708777053 compared to the previous model's average RMSE value of 0.5823726212, indicating enhanced accuracy in stock price prediction. This approach is anticipated to make a substantial contribution to the advancement of more dependable and effective stock price prediction models, addressing the limitations of prior methodologies
Transformasi Digital Pendidikan: Pelatihan dan Implementasi Aplikasi Ujian, Kehadiran, Konseling, dan Perpustakaan di Sekolah SMA Negeri 1 Lhoknga Munawir, Munawir; Susmanto, Susmanto; Elvitriana, Elvitriana; Maulinda, Maulinda; Zulfan, Zulfan; Hidayat, Taufik; Erdiwansyah, Erdiwansyah; Nailissa’adah, Nailissa’adah
JIPITI: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 1 (2025): Februari 2025 - JIPITI: Jurnal Pengabdian kepada Masyarakat
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

Transformasi digital dalam pendidikan menjadi salah satu upaya strategis untuk meningkatkan efisiensi dan kualitas pengelolaan sekolah. Di SMA 1 Lhoknga, dilakukan pelatihan dan implementasi empat aplikasi utama, yaitu aplikasi ujian digital, manajemen kehadiran, konseling berbasis aplikasi, dan perpustakaan digital. Pelatihan ini bertujuan untuk membekali guru, staf administrasi, dan siswa dengan kemampuan menggunakan teknologi untuk mendukung aktivitas pembelajaran dan operasional sekolah. Aplikasi ujian digital memungkinkan pelaksanaan ujian yang efisien, dengan fitur penilaian otomatis yang mempercepat proses evaluasi hasil belajar. Sistem kehadiran berbasis aplikasi mendukung pencatatan kehadiran secara real-time, sehingga mempermudah pemantauan siswa dan guru. Sementara itu, layanan konseling berbasis aplikasi memberikan akses yang lebih fleksibel bagi siswa untuk menjadwalkan sesi konseling dan mencatat rekam jejak secara aman. Di sisi lain, aplikasi perpustakaan digital memungkinkan akses online terhadap katalog buku, mempercepat proses peminjaman, dan meningkatkan keterjangkauan sumber daya belajar. Hasil implementasi menunjukkan respons positif dari para pengguna. Guru dan staf administrasi merasakan pengurangan beban kerja administratif, sedangkan siswa menikmati kemudahan akses layanan. Proyek ini juga memberikan dampak signifikan terhadap peningkatan literasi digital di lingkungan SMA 1 Lhoknga. Secara keseluruhan, pelatihan dan implementasi aplikasi ini berhasil menciptakan ekosistem pendidikan yang lebih modern dan efektif.
Analisis Spasial Peluang Lokasi Unit Sekolah Baru Menggunakan Metode Score dan Sistem Informasi Geografis Sa’adah, Nailis; Yanti, Yeni; Zulfan, Zulfan; Susmanto, Susmanto; Munawir, Munawir; Irawati, Irawati
Infotekmesin Vol 13 No 1 (2022): Infotekmesin: Januari, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i1.1029

Abstract

School is a formal educational institution recognized by the Indonesian State Education Institute, every citizen has the right to get it. In accordance with field interview observations, there is no equal distribution of junior high school locations around sub-districts in Aceh Besar and the distance of school locations from students' residences is very far. The purpose of this study is to analyze geographic information systems (GIS) on the probability of building new school in Aceh district, which are divided in 4 criterias; high, medium, low, and no probability, as well as using school spatial analysis (buffer, overlay and clip) and scoring methods to determine the probability for the location of the new school. The results show 4 criteria for the location probability; there are 11 districts with high probabilities, 21 medium probabilities, 23 low probabilities, and 23 no probabilities in each district.
Co-Authors . Elvitriana . Zulfan Erdiwansyah, Erdiwansyah Irawati Irawati Kelvin Kelvin Maulinda, Maulinda Munawir Munawir Nailissa’adah, Nailissa’adah Sa’adah, Nailis Sinaga, Frans Mikael Taufik Hidayat Winardi, Sunaryo Yanti, Yeni