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All Journal JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Penamas: Journal of Community Service
Pratama, Ferdian Rizki
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Sosialisasi pengolahan diverifikasi garam pangan (yodium dan fortifikasi ikan pepetek) untuk meningkatkan nilai jual garam di Desa Pesanggrahan-Madura Salsabila, Marwa; Sultoni, Zahri Adelina; Samad, Novi Wandari; Kartika, Yemima Anindya; Ilhami, Salju Qolbi; Santoso, Moch. Bachtiar Eka; Riqin, Mohammad Haris; Septiana, Dita; Putra, Martha Anugrah Panca; Cahyono, Andree; Pangestuti, Sukma Ayundya; Ali, Abdul Warits Riyadi; Maulana, Aqil; Arifin, Samsul; Pratama, Ferdian Rizki; Asih, Eka Nurrahema Ning
Penamas: Journal of Community Service Vol. 4 No. 2 (2024): Penamas: Journal of Community Service
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/penamas.v4i2.1160

Abstract

Intensive salt production using tunnels by salt farmers in Pesanggrahan Village is not optimal and is inversely related to the low selling price of salt in the village. The purpose of this socialization effort is to introduce the use of filters in salt ponds to improve the quality of kerosok salt production in tunnels and to provide guidance on verifying the types of iodine-enriched salt and fortified salt produced from tunnel salt. This activity involved five partners: three salt farmer groups (Makmur, Al-Islah, and Melati), the PKK women's group, and the Pesanggrahan Village Youth Organization. The community service activities included socialization and counseling on producing iodized and fortified salt in Pesanggrahan Village. The Likert scale survey results conducted after the socialization showed that 87% of participants understood the importance of using filters in the tunnels, while 13% did not. Additionally, 90% of participants understood how to make food-grade salt, while 10% still lacked this understanding.
PREDIKSI HARGA SAHAM PT TELKOM MENGGUNAKAN METODE CNN-LSTM Pratama, Ferdian Rizki; Santoso, Budi; Kacung, Slamet
Journal of Information System Management (JOISM) Vol. 7 No. 1 (2025): Juni
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/joism.2025v7i1.2087

Abstract

PT Telkom sebagai perusahaan informasi dan komunikasi terbesar di Indonesia, memiliki harga saham yang menarik minat investor. Penelitian ini bertujuan untuk mengembangkan aplikasi yang mampu memprediksi harga saham PT Telkom menggunakan metode CNN-LSTM. Tantangan dalam memprediksi harga saham meliputi volatilitas pasar, keterbatasan data historis, dan kompleksitas faktor-faktor yang mempengaruhi harga. Metode CNN digunakan untuk mengenali pola spasial dalam data, sementara LSTM mengatasi masalah vanishing gradient dan menangkap dependensi jangka panjang. Model CNN-LSTM diuji dengan berbagai kombinasi hyperparameter, termasuk learning rate (0.001, 0.0001, dan 0.0005), kernel size (3, 5, dan 7), dan jumlah epoch (30, 50, dan 100). Hasil terbaik diperoleh dengan konfigurasi learning rate 0.0005, kernel size 7, dan 100 epoch, yang menghasilkan nilai Mean Absolute Error (MAE) sebesar 56.13, Root Mean Squared Error (RMSE) sebesar 75.75, dan koefisien determinasi (R²) sebesar 0.973. Hasil ini menunjukkan kemampuan prediksi yang baik dari model. Penelitian ini diharapkan dapat memberikan solusi bagi investor dalam memprediksi harga saham PT Telkom dan membantu pengambilan keputusan investasi.
Co-Authors Ali, Abdul Warits Riyadi Asih, Eka Nurrahema Ning Budi Santoso Cahyono, Andree Dita septiana Ilhami, Salju Qolbi Kartika, Yemima Anindya Maulana, Aqil Pangestuti, Sukma Ayundya Putra, Martha Anugrah Panca Riqin, Mohammad Haris Salsabila, Marwa Samad, Novi Wandari Samsul Arifin Santoso, Moch. Bachtiar Eka Slamet Kacung, Slamet Sultoni, Zahri Adelina