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All Journal Jurnal Imiah Pengabdian Pada Masyarakat (JIPM) Saturnus: Jurnal Teknologi dan Sistem Informasi
Eva Andini
Unknown Affiliation
Religion Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Optimalisasi Fungsi Masjid Sebagai Pusat Pendidikan Dan Pemberdayaan Masyarakat (Studi Kasus KKN Rekognisi Di Kemuning, Palembang) Isabella, Vitria; Rindang; Eva Andini; Rhessya Putri Wulandari Tri Maris
Jurnal Imiah Pengabdian Pada Masyarakat (JIPM) Vol 2 No 4 (2025): April - Juni
Publisher : CV. ITTC INDONESIA

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Abstract

This study aims to describe the optimization of the function of the mosque as a center of education and community empowerment through a participatory approach in the KKN Rekognisi activity by UIN Raden Fatah Palembang students at the Nurul Khoirot Mosque. The method used is descriptive qualitative with a case study approach. Data were obtained through activity reports, field documentation, and reflections of KKN participants, then analyzed thematically. The results of the study indicate that mosques can function optimally in non-formal education through the TPA program to strengthen the ability to read the Qur'an and Islamic values, tutoring as academic support for elementary school children, and creative writing classes to foster literacy and expression skills. In addition, social activities such as tadarus, yasinan, morning exercise, and breaking the fast together make the mosque a space for social interaction that strengthens relationships between residents and students. This program has a positive impact on increasing children's participation in learning activities, forming learning habits outside of school, and growing public awareness of the strategic role of mosques. This model can be replicated in various regions.
Implementasi Jaringan Syaraf Tiruan dalam Peramalan Harga Cpo Menggunakan Backpropagation Eva Andini; Lailan Sofinah Harahap; Siti Nurjanah
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 4 No. 1 (2026): Januari : Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v4i1.1410

Abstract

This study examines the development of a Crude Palm Oil (CPO) price forecasting model using an artificial neural network algorithm, specifically the backpropagation algorithm. As one of Indonesia’s main export commodities, CPO has a significant economic impact and influences the income of oil palm farmers. The CPO price data used in this study were obtained from CIF Rotterdam, covering the period from January 2019 to December 2023. The research methodology consists of several stages, including data collection, preprocessing, model design, and model implementation using Python programming. The training results of the backpropagation algorithm show an error value of 0.537829578 after 1,000 epochs, while the evaluation using Mean Squared Error (MSE) indicates an MSE of 0.022709 during the training process and 0.017604 during the testing process. The model also produces CPO price predictions for the next three months, namely 932.578 for the first month, 949.568 for the second month, and 774.855 for the third month. These findings indicate that the developed model is capable of predicting future CPO prices with adequate accuracy, which can assist companies in making better financial decisions and managing risks associated with CPO price fluctuations.
Co-Authors Isabella, Vitria Lailan Sofinah Harahap Rhessya Putri Wulandari Tri Maris Rindang SITI NURJANAH