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All Journal International Journal of Electrical and Computer Engineering MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Simetris Mediator Jurnal Teknologi Informasi dan Ilmu Komputer KOMUNIKA Sinkron : Jurnal dan Penelitian Teknik Informatika Lontar : Jurnal Ilmu Komunikasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat PROSIDING KOMUNIKASI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Ilmu Teknik dan Komputer Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) International Journal of Educational Research and Social Sciences (IJERSC) International Journal of Community Service International Journal of Qualitative Research Electronic Journal of Education, Social Economics and Technology International Journal of Health, Engineering and Technology West Science Business and Management Indonesian Journal of Community Services Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) Siber International Journal of Education Technology Journal of Public Relations and Digital Communication (JPRDC) JPM (Jurnal Pengabdian Masyarakat) Ruwa Jurai Nemui Nyimah
Ida Nurhaida
Universitas Lampung
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Utilizing Demographic, Ethnic, and Human Emotional Variables to Enhance Compassion Feeling: Basis for Slow Lorises Conservation Extension Media Development Christine, Wulandari; Nurhaida, Ida; Sugeng Prayitno , Harianto; Andi, Windah; Samsul, Bakri
Jurnal Manajemen Hutan Tropika Vol. 32 No. 1 (2026)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.32.1.86

Abstract

Slow lorises, listed as endanger under CITES Appendex I, are increasingly found outside forest habitate, including the buffer zone of Wan Abdul Rachman Grand Forest Park (Tahura WAR) in Lampung Province. While this coexistence support ex-situ conservation, it also raises risks of illegal hunting and trafficking. This study investigates how demographics, education, ethnicity, and emotion influence compassion (COMP) toward slow lorises. A log-linear model was applied at a 95% confidence level.  The response variable [COMP] was scored as 1 if respondents expressed compassion, and 0 otherwise. Explanatory variables included esmotions (affection, neutral, disgust), prior direct sightings, education level, and ethnic background. Data were collected through door-to-door survey of 150 respondents across three villages in the Tahura WAR buffer zone during October–November 2023. Each respondent was shown a 20 cm × 30 cm photograph of slow loris before answering. Results suggest that compassion increases significantly among women, those with fisthand sightings, high school gradustes, and respondents with Lampung or Sundanese parental backgrounds. Affection strongly boost COMP, while digust reduces it. These findings highlight the importance of fostering empathy through conservation education programs that complement law enforcement. These results also support the SDG 15 and 16 pillars implementation.
Empirical Study of the Dinamics Contribution of Public Communication Based on Local Wisdom to Development Windah, Andi; Hasan, Haryanto; Kartika, Tina; Nurhaida, Ida
LONTAR: Jurnal Ilmu Komunikasi Vol. 10 No. 2 (2022): Lontar : Jurnal Ilmu Komunikasi
Publisher : Program Studi Ilmu Komunikasi Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/lontar.v10i2.5604

Abstract

Communication is one of the crucial indicators in development, especially to build consensus and facilitate knowledge sharing to achieve positive change in development initiatives. One form of development communication that emphasizes the ability of communicators is public communication. In short, public communication can be interpreted as a strategic interaction to channel information, ideas, programs, presentations, data, propaganda, and many other contexts of development messages to the masses, the public, or a specific audience. This research uses a qualitative approach with a literature study to collect data. This study found that the experience of developing a geopark tourist area in Pangandaran, West Java, can be used as the first best practice as its articulation of local wisdom in public communication during the development process showed a significant effect. In this study also shows various phenomena of successful communication integration based on local wisdom and the development process in the economic field using social media, such as the Government of Kutai Kartanegara Regency, Purwakarta Regency, Sumenep Regency. It can be concluded that the use of local wisdom-based public communication is considered capable of supporting development in terms of economic, social, or cultural
Penerapan LSTM Dalam Deep Learning Untuk Prediksi Harga Kopi Jangka Pendek Dan Jangka Panjang Muhammad, Rifqi; Nurhaida, Ida
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5904

Abstract

Harga kopi sering mengalami berfluktuasi dalam dua tahun terakhir, terlebih harga kopi Arabika dan Robusta terus mengalami fluktuasi yang signifikan, naik dan turun secara berkelanjutan. Data historis menunjukkan variasi yang cukup signifikan dari tahun 2010 hingga Mei 2024. Penelitian ini bertujuan untuk meramalkan harga kopi Arabika dan Robusta baik dalam jangka pendek maupun jangka panjang dengan menggunakan model Long Short-Term Memory (LSTM). Metode yang digunakan yaitu data preparation, pre-processing data, model training, model testing, model evaluation dan data visualization. Performa model yang terbaik dengan menggunakan learning rate 0.0001 dan epoch 150, hal ini ditunjukan oleh tingkat error yang rendah yaitu 1021.5773 menggunakan Root Mean Squared Error (RMSE) dan 660.4265 Mean Absolute Error (MAE). Nilai tersebut diperoleh dengan data training 80% dan data testing 20%, menggunakan 60 timesteps, 225 neuron hidden layer, dan memanfaatkan metode optimasi Adam. Dengan demikian algoritma LSTM dengan performa model tersebut dapat melakukan prediksi harga yang akurat.
Co-Authors ., Karomani Abdul Haris Ahmad Riza Ahmad Riza Faizal, Ahmad Riza Akhmad Riza Faizal Akmal Junaidi Ali, Husain Andi Windah Andi Windah* Andi, Windah Arif Sugiono Arnila Purnamayanti Aryanti Nina Yudha Asep Sukohar Ayumi, Vina Azis, Diky Luqman Christine, Wulandari Darojat, Agus Dhamanti, Inge Djauharie, Arlyandi S Djuadi, Noverman Fikri, Muhammad Huri Fitri Yakub Giovanni, Netaniel Halim, Yeru Dwi Pratama Hapzi Ali Hasan, Haryanto Hazni, Elvira Hestin Oktiani Hidayat, Januar Putra Ichsan Ichsan Khaqqi, Fitriyana Nuril Kurnia Muludi Lathifah Alfat, Lathifah Maryani, Eri Mediansyah, Aulian Nina Yudha Aryanti Olova, Khansa Ranbia Audreyzovna Pairulsyah Pairulsyah Pratiwi, Chelomitha Arsy Putra, Purwanto Ramadityo, Kafka Reza Gustifa, Adinda Rifqi Muhammad Samsul, Bakri Saputra, Muhammad Azi Sirat, Abdul Hadi SITI MARIAM Slamet Riyadi Sugeng P Hariyanto Sugeng Prayitno , Harianto Sugiyanta Sugiyanta Sugiyanto, Puspandari Setyowati Suharyani Suharyani Tina Kartika Tina, Kartika Tjahjono, Benny Yudha Aryanti, Nina