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All Journal Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah Ilmu Terapan Universitas Jambi Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka Attadrib: Jurnal Pendidikan Guru Madrasah Ibtidaiyah Journal of Muhammadiyah’s Application Technology Deiksis: Jurnal Pendidikan Bahasa dan Sastra Indonesia
Ramadan, Rahmat
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Counseling Employee Assistance Program (EAP) – SUPPORT To Improve Employee Mental Health at PT X Palembang Hurriyati, Dwi; Ramadan, Rahmat
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 6 No. 2 (2023): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v6i2.3236

Abstract

This community service activity aims to increase employee and community knowledge about the importance of the Employee Assistance Program (EAP) for employees designed by the company to improve employee mental health productivity. This service program is expected to help employees to prevent, identify and resolve employee problems, especially mental health, which impacts employee performance. This service activity is carried out at PT. X Palembang. The method of implementing community service activities is carried out to solve problems that exist among employees of PT. X Palembang related to mental health problems in the form of counseling efforts on the application and use of EAP program services at PT. X Palembang. The results of this community service activity are in the form of companion services for employees of PT. X Palembang to conduct coaching and counseling sessions to help solve employee problems to improve employee mental health.
SOSIALISASI PEMANFAATAN GOOGLE PLAY BOOK UNTUK MENINGKATKAN LITERASI DIGITAL SISWA DI SMP NEGERI 4 BAUBAU Husniah, Wa Ode; Safaria, Ria; Zulhija, Alan; Ramadan, Rahmat
Jurnal Pengabdian Masyarakat Sabangka Vol 4 No 03 (2025): Jurnal Pengabdian Masyarakat Sabangka
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/sabangka.v4i03.1484

Abstract

Digital literacy is an essential skill for students in the digital age. Google Play Book, as a digital book platform, offers interactive features such as text search, digital notes, and audiobooks, which can improve literacy. This service activity aims to introduce Google Play Book to seventh grade students of SMP Negeri 4 Baubau through theory and practice-based socialization. As a result, students were able to operate the application, including searching for books and utilizing its features. They also showed an increased interest in reading and awareness of the importance of digital sources as a complement to printed books. Although there are drawbacks, such as dependence on technology, the benefits in expanding access to learning and encouraging independent learning are significant. This activity is expected to be the first step in building a culture of digital literacy in schools and encouraging the wise use of technology for education. Thus, students can be better prepared to face the challenges of learning in the digital world.
Perancangan Pusat Pertunjukan Seni Musik dan Teater di Kabupaten Toraja Utara dengan Konsep Arsitektur Berkelanjutan ramadan, rahmat; Syarif, Muhammad; Umar, Fitrawan; Idrus, Irnawaty; Amal, Citra Amalia; A Amin, Siti Fuadillah
Journal of Muhammadiyah’s Application Technology Vol. 1 No. 3 (2022)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jumptech.v1i3.8796

Abstract

Seni merupakan sebuah ekspresi perasaan manusia, yang di dalamnya mengandung unsur estetika atau keindahan, serta dapat dirasakan oleh panca indra manusia. Perkembangan seni di Indonesia khususnya daerah Toraja Utara sendiri sangatlah baik, ini dibuktikan dengan berdirinya kelompok-kelompok dan grup seni lokal di Toraja, dan banyaknya kegiatan pertunjukan seni yang diselenggarakan tiap tahun. Bahkan, sudah menjadi agenda rutin, sesuai dengan program Dinas Pariwisata dan Kebudayaan Toraja yaitu mengembangkan pariwisata di Toraja, sebagai tujuan meningkatkan daya tarik wisata di antaranya, mengembangkan event - event baik tradisional maupun modern, atau event tradisional yang dikemas secara modern, dengan memperhatikan kondisi lingkungan sebagai nilai jual. Rancangan ini harus sesuai standar dapat mewadahi segala aktivitas dan pengembangan kesenian, serta menghadirkan sebuah pusat seni yang ramah lingkungan. Seiring perkembangan teknologi dan gagasan perancangan bangunan yang semakin baik dan modern, bangunan saat ini mulai didesain dengan mengintegrasikan potensi alam sekitar dengan ruangan yang ada di dalamnya, yang kita kenal dengan sustainable architecture. konsep arsitektur yang berusaha meminimalkan dampak negatif lingkungan bangunan, dengan efisiensi penggunaan energi, yaitu memanfaatkan sinar matahari sebagai pencahayaan buatan dengan desain bukaan dan sun shading. Material, yaitu menggunakan sebagian material lokal seperti bambu, batu alam, dan kayu sisa bekisting untuk elemen dekoratif interior. Limbah, mengolah kembali limbah untuk kebutuhan bangunan. Ekonomi, memanfaatkan sebagian lahan untuk kegiatan perkebunan sebagai keberlanjutan komoditas dan ekonomi bagi masyarakat sekitar.
ANALISIS KESALAHAN BERBAHASA PADA BANNER PENERIMAAN MAHASISWA BARU UNIVERSITAS MUHAMMADIYAH BUTON Ramadan, Rahmat; Arsfandi, Sujatmiko; Sarifudin, Ilham; Azka Zayan Salsabil, Zulfa
Deiksis : Jurnal Pendidikan Bahasa dan Sastra Indonesia Vol 11 No 1 (2024)
Publisher : Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/dj.v11i1.9925

Abstract

Penelitian ini bertujuan untuk mengetahui kesalahan berbahasa pada bidang morfologi atau kata pada banner program studi penerimaan mahasiswa baru Universitas Muhammadiyah Buton. Penelitian ini merupakan penelitian deskriptif kualitatif. Sumber data yang digunakan dalam penelitian ini berupa kata yang ada dalam banner program studi penerimaan mahasiswa baru yang berjumlah delapan banner yang telah didokumentasikan oleh peneliti. Teknik analisis data yang digunakan yaitu teknik reduksi data, penyajian data dan penarikan simpulan. Fokus penelitian ini berada pada tataran kata dan kesalahan yang paling sering ditemukan ialah kecenderungan penggunaan kata tidak baku serta kesalahan penulisan. Hasil penelitian menunjukkan kesalahan penulisan kata pada delapan banner ini adalah, karena kurangnya pemahaman terhadap penulisan ejaan serta kurangnya ketelitian dalam penulisan sehingga menyebabkan kesalahan penulisan.
Peran Strategis Guru Dalam Meningkatkan Motivasi Belajar Siswa di Sekolah Dasar Ramadan, Rahmat; Kaharu, Sarintan N.; Nuraini, Nuraini; Zulnuraini, Zulnuraini; Tadeko, Nurgan
Attadrib: Jurnal Pendidikan Guru Madrasah Ibtidaiyah Vol. 8 No. 1 (2025): Islamic Primary Education based on Islamic values
Publisher : Institut Agama Islam Daruttaqwa Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54069/attadrib.v8i1.857

Abstract

Learning motivation is a crucial factor that determines the success of education at the elementary school level. However, some students still exhibit low motivation despite the teacher's efforts to create engaging learning experiences. This study aims to explore the teacher's role as a motivator in enhancing the learning motivation of fifth-grade students at SDN 1 Sindue. A descriptive qualitative approach was used, with data collection through observation, interviews, and documentation involving one teacher and six students categorized as having high and low motivation. The results show that the teacher implemented various strategies such as stimulating learning interest, creating a pleasant atmosphere, giving praise, assessments, rewards, and competitions. These strategies were found effective in increasing motivation for most students, although some students faced internal obstacles such as laziness and lack of self-confidence, as well as external obstacles like difficulty with the material and an unfavorable learning environment. The study highlights the importance of individualized and adaptive approaches by teachers to sustain student learning motivation. The implications of this research emphasize the need for teacher training in implementing more personal and context-specific motivational strategies. This study also contributes to the literature on learning motivation at the elementary level through an empirically grounded, context-specific approach.
COMPARING DEEP LEARNING AND MACHINE LEARNING FOR DETECTING FAKE NEWS ON SOCIAL MEDIA Andryani, Ria; Julian, Dedek; Syaputra, Rezki; Syazili, Ahmad; Rusli, Ahmad; Ramadan, Rahmat; Negara, Edi Surya
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 9 No. 3 (2025): Volume 9, Nomor 3, September 2025
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v9i3.46370

Abstract

One of the critical issues resulting from the increasing penetration of social media is the spread of fake news. This can damage public information and influence mass opinion, leading to conflict. To overcome this problem, machine learning and deep learning-based approaches have been continuously developed to detect fake news on various social media platforms automatically. This article aims to compare the effectiveness of these two approaches in detecting fake news. The methods used include the implementation of traditional machine learning algorithms, such as Support Vector Machines (SVM) and Random Forest, as well as deep learning-based approaches, including Long Short-Term Memory and Self-Organizing Maps. Datasets containing real and fake news from various social media sources are used to train and evaluate these models. Model performance is measured based on accuracy, precision, recall, and F1-score. This study aims to determine which approach is more effective and identify challenges in implementing these algorithms in a dynamic social media environment. The results obtained show that the Random Forest algorithm achieves an accuracy level of 100%, surpassing other algorithms, including Long Short-Term Memory with an F-1 Score of 97%, Self-Organizing Map with an F-1 Score of 96%, and Support Vector Machine with an F-1 Score of 92%.
EARLY DETECTION OF ACADEMIC DEPRESSION USING SMARTPHONE-BASED MACHINE LEARNING MODELS Negara, Edi Surya; Hermawan, Latius; Mayrita, Hastari; Arisandy, Desy; Farozi, Mohamad; Ramadan, Rahmat; Ariana, Sunda; Andryani, Ria
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 9 No. 3 (2025): Volume 9, Nomor 3, September 2025
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v9i3.46375

Abstract

Mental health in developing countries is a common and complex problem. The problem continues to increase and is closely related to low self-confidence, negative interpersonal relationships, and academic depression. This can affect students' ability to complete academic assignments on a university scale. An AI-based early detection application can potentially improve mental health services related to treatment access. This system can help identify users who may be depressed based on the language used, especially for those who are reluctant to seek professional solutions due to the negative stigma of mental health. This study uses a qualitative descriptive method involving observation, in-depth analysis of group conversations, and early detection of academic depression by identifying conversation patterns between students and counselors as the basis for developing a smartphone-based application. This study produced a dataset of 395 depression-level data entries used as training data to develop a machine-learning model. A prototype of an academic depression detection application has been developed as a mobile-based application.
Co-Authors A. Amin, Siti Fuadillah Ahmad Syazili Amal, Citra Amalia Andryani, Ria Arsfandi, Sujatmiko Azka Zayan Salsabil, Zulfa Desy Arisandy Edi Surya Negara Farozi, Mohamad Hastari Mayrita, Hastari Hurriyati, Dwi Husniah, Wa Ode Idrus, Irnawaty Julian, Dedek Latius Hermawan Muhammad Syarif, Muhammad Nuraini Nuraini Nurgan Tadeko Rusli, Ahmad Safaria, Ria Sarifudin, Ilham Sarintan Nurcahyati Kaharu Sunda Ariana, Sunda Syaputra, Rezki Umar, Fitrawan Zulhija, Alan Zulnuraini