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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Teknologi Telematika : Jurnal Informatika dan Teknologi Informasi Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Wikrama Parahita : Jurnal Pengabdian Masyarakat JITK (Jurnal Ilmu Pengetahuan dan Komputer) JSiI (Jurnal Sistem Informasi) ILKOMNIKA: Journal of Computer Science and Applied Informatics Prosiding Seminar Nasional Multidisiplin Ilmu Respati Jurnal Teknik Informatika (JUTIF) JUSTIN (Jurnal Sistem dan Teknologi Informasi) ETAM: Jurnal Pengabdian kepada Masyarakat Jurnal Masyarakat Madani Indonesia Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Agus Qomaruddin Munir
Fakultas Teknik, Universitas Negeri Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Journal : IJCCS (Indonesian Journal of Computing and Cybernetics Systems)

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Convolutional Long Short-Term Memory (C-LSTM) For Multi Product Prediction Putu Sugiartawan; Yusril Eka Saputra; Agus Qomaruddin Munir
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 17, No 4 (2023): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.90149

Abstract

The retail company PT Terang Abadi Raya has a solid commitment to supporting distributors of LED lights and electrical equipment who have joined them, helping to spread their products widely in various regions. To face increasingly intense market competition, it is essential to produce high-quality products to win the competition and meet consumer demands. To achieve this, efficient production planning is necessary. The Convolutional Long Short-Term Memory (C-LSTM) method is used in this study to forecast product sales at PT Terang Abadi Raya. The research results show that C-LSTM has the potential to predict sales effectively. Evaluation is conducted using Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE). The calculations reveal that the smallest values are obtained at epoch 10, with an MAE of 0.1051 and a MAPE of 22% in the testing data. For the cable data, the smallest values are found at epoch 100, with an MAE of 0.0602 and a MAPE of 44% in the testing data. The Long Short-Term Memory (LSTM) method with ten neurons produces the most minor errors during training.
Co-Authors Agus Prayitno Andri Syafrianto Anindita Septiarini, Anindita Anny Kartika Sari Bagus Subekti Nuswantoro Bayu Indra Wahyudi Bekti Wulandari Budi Rahmani Daud Andang Pasalli, Daud Andang Desty Ervira Puspaningtyas Dewanto, Satriyo Agung Dharmawan, Dhimas Arief Didit Suprihanto, Didit Dina Fitri Septarini, Dina Fitri Evrita Lusiana Utari Evrita Lusiana Utari Evrita Lusiana Utari Evrita Lusiana Utari Evrita Lusiana Utari, Evrita Lusiana Farida Nur Aini Hamdani Hamdani HERU Heru Ismanto Ikhwan Mustiadi Indra Listiawan Irawadi Buyung Irawadi Buyung, Irawadi Jayanti, Rafika Latifah Listyalina Listiawan, Indra Listyalina, Latifah Muh. Ridho Wahid Solihin Naufal Naja Hafidhah Nurkhamid , Nurkhamid Nurkhamid, Nurkhamid Prastowo Kristiyanto Putra Wanda Putu Sugiartawan Rahman, Dzul Fadli Ratna Wardani Ratnaningsih, Wahyu Sabdullah, Mursid Setiyawan, Ramadhana TAUFIQ HIDAYAT Wijaya, Nurhadi Yusriadi Yusriadi Yusril Eka Saputra Zaenal Mustofa Zaidir