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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JURNAL DESTINASI PARIWISATA JOIV : International Journal on Informatics Visualization Konvergensi : Jurnal Ilmiah Ilmu Komunikasi JURNAL MEDIA INFORMATIKA BUDIDARMA ILKOM Jurnal Ilmiah JURNAL PENDIDIKAN TAMBUSAI JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Journal of Humanities and Social Studies AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Jurnal Teknologi Terpadu Jurnal Review Pendidikan dan Pengajaran (JRPP) Pantun: Jurnal Ilmiah Seni Budaya Jurnal Informasi dan Teknologi Journal of Applied Engineering and Technological Science (JAETS) Journal of Governance and Local Politics (JGLP) Jurnal Sosial Humaniora Sigli Jurnal Scientia Journal of System and Computer Engineering Gunahumas Jurnal Ilmiah Wahana Pendidikan Jurnal Informatika Terpadu Indonesian Journal of Intellectual Publication (IJI Publication) Edu Cendikia: Jurnal Ilmiah Kependidikan Global Abdimas: Jurnal Pengabdian Masyarakat Sci-Tech Journal Jurnal Ilmiah Teknik Informatika dan Komunikasi Sentra Dedikasi: Jurnal Pengabdian Masyarakat Journal Pharmacy and Application of Computer Sciences Jurnal Informatika: Jurnal Pengembangan IT Jurnal Kajian Pendidikan dan Psikologi Toplama Jurnal Pembelajaran Bahasa dan Sastra Advances in Computer System Innovation Journal (ACSI Journal) PESHUM Indonesian Journal of Intellectual Publication (IJI Publication)
Firman Aziz
Universitas Pancasakti Makassar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Efektivitas Pembelajaran Berbasis Presentasi pada Keterampilan Komunikasi dan Kognisi Mahasiswa dalam Perspektif Teori Cognitive Load Mindra, Davin Septian; Aziz, Firman; Ferdiana, Ryan; Tazkillah, Ghina Ajmal; Barokah, Nurul Nur
PESHUM : Jurnal Pendidikan, Sosial dan Humaniora Vol. 4 No. 4: Juni 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/peshum.v4i4.9291

Abstract

Penelitian ini mengkaji pengaruh pembelajaran berbasis presentasi terhadap keterampilan komunikasi dan beban kognitif mahasiswa dalam konteks Merdeka Belajar-Kampus Merdeka. Studi menunjukkan 67% mahasiswa dari lima institusi di Jawa mengalami tekanan akademik akibat tugas presentasi berlebihan, dengan 32% mengalami penurunan motivasi belajar. Penelitian bertujuan menyelidiki pengaruh metode ini serta mengidentifikasi strategi penanganan tantangan dari tugas presentasi berulang, menggunakan pendekatan kualitatif dengan wawancara semi-terstruktur dan observasi. Hasil menunjukkan keseimbangan antara pengembangan soft skills dan pengelolaan beban kognitif menjadi kunci keberhasilan, dengan interaksi dinamis antara self-efficacy dan kemampuan mengelola cognitive load. Penelitian berkontribusi pada pengembangan strategi pengajaran efektif dan referensi kebijakan pendidikan yang memperhatikan keseimbangan pengembangan komunikasi dan pengelolaan beban kognitif mahasiswa.
EFEKTIVITAS KOMUNIKASI MAHASISWA ILMU KOMUNIKASI PADA SILENT READER DALAM GRUP DISKUSI ONLINE Maulani, Rista Nabilah; Aziz, Firman; Ferdiana, Ryan; Soeriakartalegawa, Aldo Pranata; Firmansyah, Arya Pramudya
Konvergensi Vol 6 No 1 (2025): Konvergensi: Jurnal Ilmiah Ilmu Komunikasi (Juni 2025)
Publisher : Program Studi Ilmu Komunikasi Universitas Paramadina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51353/kvg.v6i1.996

Abstract

Transformasi teknologi telah mendorong digitalisasi dalam dunia pendidikan, termasuk dalam komunikasi akademik yang kini banyak berlangsung secara daring melalui platform seperti WhatsApp. Komunikasi akademik yang efektif diperlukan untuk mendukung kelancaran diskusi dan kerja sama dalam kelompok. Fenomena silent reader, yaitu anggota grup yang hanya membaca tanpa memberikan tanggapan menjadi tantangan tersendiri dalam efektivitas komunikasi. Penelitian ini bertujuan untuk memahami bagaimana mahasiswa Ilmu Komunikasi berinteraksi dalam situasi yang melibatkan anggota grup yang pasif, serta mengidentifikasi faktor-faktor yang menyebabkan mahasiswa memilih diam dalam grup diskusi. Penelitian ini menggunakan pendekatan kualitatif dengan metode deskriptif. Data dikumpulkan melalui wawancara terhadap lima partisipan yang aktif dalam grup diskusi akademik. Hasil penelitian menunjukkan bahwa silent reader tidak selalu berarti tidak memahami isi diskusi, namun dalam konteks kelompok, kehadiran mereka membuat komunikasi menjadi tidak efektif. Faktor-faktor seperti kurang percaya diri, minimnya kedekatan antar anggota, serta pengalaman negatif dalam grup diskusi sebelumnya menjadi penyebab utama. Kondisi ini menyebabkan diskusi berjalan kurang efektif dan cenderung didominasi oleh segelintir anggota. Penelitian ini memberikan kontribusi dalam memahami tantangan komunikasi digital mahasiswa serta mendorong terciptanya diskusi yang lebih partisipatif. Kesimpulannya, keberadaan silent reader dalam grup diskusi online berdampak pada efektivitas komunikasi akademik karena interaksi menjadi tidak seimbang dan tujuan diskusi tidak sepenuhnya tecapai. Kata Kunci: Silent Reader, Efektivitas Komunikasi, Diskusi Akademik, Komunikasi Daring, Platform Digital
Cultural Flows of Korean Drama in Changing the Orientation of Indonesian Cultural Identity in the Younger Generation Afifah, Mira Aulia; Firman Aziz; Ryan Ferdiana; Fatimah Azzahra NF; Ronald Yehezkiel Sitompul; Rizqya Aufa Nuraini
PANTUN: Jurnal Ilmiah Seni Budaya Vol. 10 No. 1 (2025): Interdisciplinary Approaches to Cultural Expression in Modern Art, Media, and
Publisher : Postgraduate Program of Institut Seni Budaya Indonesia Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26742/pantun.v10i1.3891

Abstract

Globalization has triggered cross-cultural exchanges across countries, with Indonesia as a multicultural country also experiencing the impact. One significant global phenomenon is the Korean Wave, including the popularity of Korean dramas among Indonesians. Korean dramas are more than just entertainment, they have the potential to influence the cultural identity orientation of the younger generation who are the main consumers. With this, the main focus of the research is to analyze how the impact Korean dramas have on changes in cultural preferences among the younger generation of Indonesia. This research uses an interview method with a qualitative approach. This research involved 5 informants with the criteria of Indonesian young generation aged 18-19 years who actively consume Korean dramas. The results showed that the flow of Korean culture through Korean dramas has the potential to influence the orientation of the cultural identity of the Indonesian people, but the sense of pride and dominance of Indonesian culture still has the potential to be maintained and developed. The contribution of this research lies in its understanding of the interaction between the Korean Wave and the formation of cultural identity among Indonesia's younger generation. The findings show that despite the strong influence of foreign cultures, the younger generation still demonstrates cultural resilience. In addition, this research opens up strategic opportunities for the revitalization of local culture through a more creative and relevant approach to popular media that appeals to young people's tastes.
Analisis Penggunaan Bahasa Slang Pada Mahasiswa Pendidikan Bisnis Manan, Linda Ifni Pratiwi; Aziz, Firman; Ferdiana, Ryan; Ayu, Rizkia Siva; Reinata, Vanya Fara; Rahma, Widya
Jurnal Pendidikan Tambusai Vol. 9 No. 2 (2025): Agustus
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i2.27928

Abstract

Tujuan dari penelitian ini adalah untuk menganalisa dengan lengkap mengenai pola penggunaan bahasa slang, bentuk-bentuk dari bahasa slang yang banyak digunakan, serta implikasi penggunaan bahasa ini terhadap proses komunikasi akademik dan non akademik pada mahasiswa Program Studi Pendidikan Bisnis di Universitas Pendidikan Indonesia. Bahasa slang merupakan bentuk komunikasi informal yang sering sekali digunakan oleh mahasiswa sebagai ekspresi diri yang lebih santai, akrab dan modern. Penelitian ini menggunakan pendekatan kualitatif dengan metode deskriptif. Pengumpulan data dalam penelitian ini dilakukan dengan wawancara terstruktur kepada masing-masing lima orang mahasiswa. Penelitian ini juga menunjukkan bahwa penggunaan bahasa slang berfungsi sebagai alat ekspresi, identitas dan alat identitas sosial, serta media interaksi sosial. Penggunaan bahasa slang yang berlebihan, akan mengganggu kemampuan berbahasa Indonesia pada mahasiswa, terutama dalam konteks akademik seperti presentasi, diskusi kelas, maupun penulisan karya ilmiah. Oleh karena, mahasiswa dituntut untuk mampu memposisikan atau menggunakan bahasa sesuai dengan konteks penggunaannya.
Pengaruh Media Sosial terhadap Pola Komunikasi Interpersonal di Era Digital Arvito, Djendral Muhammad; Aziz, Firman; Ferdiana, Ryan
Jurnal Pendidikan Tambusai Vol. 9 No. 2 (2025): Agustus
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i2.29433

Abstract

Perkembangan era digital telah secara drastis mengubah bentuk komunikasi manusia, terutama melalui kehadiran media sosial. Studi ini bertujuan untuk mengevaluasi dampak positif dan negatif media sosial terhadap pola komunikasi interpersonal. Dengan menggunakan metode deskriptif dan pendekatan kualitatif, data dikumpulkan melalui wawancara semi-terstruktur yang melibatkan empat partisipan dari latar belakang yang beragam. Temuan penelitian mengungkapkan bahwa media sosial menawarkan sejumlah manfaat, seperti mempercepat proses komunikasi, menghemat waktu, dan memperluas jaringan pertemanan. Namun demikian, media sosial juga membawa dampak negatif berupa menurunnya kualitas interaksi secara langsung, meningkatnya risiko kesalahpahaman akibat minimnya ekspresi nonverbal, serta berkurangnya kelekatan emosional antarindividu. Oleh karena itu, penting untuk menyeimbangkan penggunaan media sosial dan komunikasi tatap muka guna menjaga kualitas hubungan interpersonal. Penelitian ini menyarankan penggunaan media sosial secara cerdas agar manfaat yang diperoleh tetap optimal tanpa mengabaikan kedalaman hubungan sosial.
Detection of Persistent vs Non-Persistent Medications in Pharmacy Using Artificial Intelligence: Development of Intelligent Algorithms for Pharmaceutical Product Safety Abasa, Sustrin; Aziz, Firman; Ishak, Pertiwi; Jeffry, Jeffry
Journal of System and Computer Engineering Vol 6 No 1 (2025): JSCE: January 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i1.1618

Abstract

The pharmaceutical industry requires an effective system to detect medications that are persistent and non-persistent, in order to improve safety and the efficiency of product management. This study aims to develop a system based on Artificial Intelligence (AI) using the Decision Tree algorithm to classify medications based on prescription data provided by doctors. The dataset used in this study includes prescription information, such as medication type, prescription quantity, frequency of use, and duration of medication use, which are used to determine whether the medication is persistent or non-persistent. The Decision Tree algorithm is applied to develop a reliable classification model, with the goal of detecting medications that are used continuously (persistent) and those that are not used on a continuous basis (non-persistent). This study applies AI technology in the pharmaceutical field, focusing on the use of doctor prescriptions and classifying medications based on usage characteristics. The results of the study show that the algorithm performs well with an accuracy of 78.33%, recall of 0.7804, precision of 0.7804, and an F1 score of 0.6934, indicating the model's ability to classify medications with reasonable accuracy.
Classification of Chocolate Consumption Using Support Vector Machine Algorithm Aziz, Firman; Jeffry, Jeffry; Ayu Asrhi, Nur; La Wungo, Supriyadi
Journal of System and Computer Engineering Vol 6 No 2 (2025): JSCE: April 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i2.1860

Abstract

Chocolate, derived from the processing of cocoa beans (Theobroma cacao), is a widely consumed product with potential health risks when consumed excessively. This study investigates the classification of chocolate consumption behaviors using the Support Vector Machine (SVM) algorithm and evaluates its classification performance. A benchmark dataset on chocolate consumption was employed, partitioned into nine folds for training and testing purposes. To mitigate issues related to data imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied. The experimental findings indicate that SVM, enhanced by SMOTE, demonstrates a reliable capacity for classifying chocolate consumption categories. Performance evaluation across multiple experiments revealed variations in Accuracy, Precision, Recall, and F1-Score, with overall accuracies ranging from 50% to 60%, suggesting moderate but consistent classification performance.
Performance Exploration of Tree-Based Ensemble Classifiers for Liver Cirrhosis: Integrating Boosting, Bagging, and RUS Techniques Aziz, Firman; Jeffry, Jeffry; Wungo, Supriyadi La; Rijal, Muhammad; Usman, Syahrul
Journal of System and Computer Engineering Vol 6 No 3 (2025): JSCE: July 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i3.2031

Abstract

Liver cirrhosis, as a significant chronic liver disease, exhibits a rising global prevalence, demanding more effective preventive approaches. In an effort to enhance early detection and patient management, this research proposes the development of a liver cirrhosis risk prediction model using machine learning technology, specifically comparing the performance of three ensemble tree models: Ensemble Boosted Tree, Ensemble Bagged Tree, and Ensemble RUSBoosted Tree. Utilizing clinical and laboratory data from adults with a history or risk of cirrhosis, the study reveals that Ensemble Bagged Tree achieved the highest accuracy at 71%, followed by Ensemble Boosted Tree (67.2%) and Ensemble RUSBoosted Tree (66%). Analysis of clinical and laboratory variables provides further insights into the most significant contributors to risk prediction. The findings lay the groundwork for the advancement of a more sophisticated liver cirrhosis risk prediction tool, supporting a vision of more personalized and effective preventive strategies in liver disease management
Improved Human Activity Recognition Using Stacked Sparse Autoencoder (SSAE) Algorithm Aziz, Firman; Mustamin, Nurul Fathanah; Rijal, Muhammad; Tanniewa, Adam M
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3079

Abstract

This study aims to enhance the performance of Human Activity Recognition (HAR) systems by implementing the Stacked Sparse Autoencoder (SSAE) algorithm combined with Support Vector Machine (SVM). The objective is to enhance the classification accuracy of human activities using sensor data. The materials for this study include a dataset collected from wearable devices equipped with accelerometers and gyroscopes. These devices generate time-series data representing a range of activities, such as walking, running, sitting, and standing. The raw data were preprocessed through normalization and segmented into fixed time windows to ensure uniformity and reliability for analysis. The methods utilized involve employing SSAE for automated feature extraction. The SSAE algorithm extracts hierarchical and abstract features from sensor data, enabling the model to learn complex patterns that traditional methods might overlook. The extracted features are then input into the SVM classifier to perform activity classification. SSAE was trained using unsupervised learning techniques, followed by supervised fine-tuning with labeled datasets. The results demonstrate that the SSAE-SVM model achieves superior performance compared to traditional SVM. The SSAE-SVM achieved 89% accuracy, 87% precision, 89% sensitivity, and 88% F1 score, significantly outperforming the traditional SVM’s 37% accuracy, 75% precision, 37% sensitivity, and 36% F1 score. These findings underscore the potential of SSAE in enhancing HAR systems by effectively extracting features from sensor data. Future research should focus on the real-time implementation of SSAE, leveraging diverse sensor modalities, and exploring its applicability in broader fields, such as predictive maintenance and personalized health monitoring.
Analisis Kebiasaan Konsumsi Nasi Mahasiswa Teknologi Pangan Universitas Pendidikan Indonesia di Tengah Dilema Impor Beras Annisa Sakanti Tamir; Firman Aziz; Ryan Ferdiana; Areta Nararya Putri Setiadi; Zhafira Tsania Rasyiffah; Shavi Khalwa Khalisha; Fiina Lanahdiyan Najah; Rahmania Nur Saputra
Sci-tech Journal Vol. 4 No. 2 (2025): Sci-Tech Journal
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v4i3.755

Abstract

This study examines rice consumption patterns among UPI Food Technology Students and the effectiveness of food diversification as a solution to rice dependence and increasing imports. The method used is descriptive with a qualitative approach through observation and interviews with a total of 5 respondents to understand consumption habits and openness to alternative carbohydrate sources. The results show that the majority of students still rely on rice as a staple food, while diversification efforts have not been effective due to taste preferences, limited access, and lack of socialization. However, there is potential for Food Technology students to develop local rice and try food alternatives in the future. The novelty of this research lies in the irony between student preferences and the availability of alternative carbohydrate sources. These findings can serve as a basis for more sustainable food education and development policies.
Co-Authors A Inayah Auliyah Abasa, Sustrin Achmad Hufad Adriana, Andi Nur Ilmi Adriana, Andi Nurilmi Afifah, Mira Aulia Ahmad Sukarna Syahrir, Ahmad Sukarna Akbar Taufik Almuhajir Haris, Almuhajir Amalyah, Aam Amelia, Kiki Resqy Ampauleng Ampauleng Andi Nurilmi Adriana Andi Taufiqurrahman Akbar Andjani, Andita Dwi Andri Kurniawan Andyka Andyka, Andyka Anirwan Anirwan Annisa Sakanti Tamir Annisa Salsabila Apriliya Wijaya Anugriaty Indah Asmarany Aqdami, Nashrullah Tsabbit Arafah, Muhammad Nur Areta Nararya Putri Setiadi Arifin, Syaadiah Armansyah, M Rezky Armin Lawi Arni, Sitti Artikasari, Devina Arvito, Djendral Muhammad Ayu Asrhi, Nur Ayu, Rizkia Siva Aziz, Naufal Nuurul Aziz Azminuddin I. S. Azis Barokah, Nurul Nur Batau, Radus Buang, Ariyani Buang, Misbahuddin Buyung Firmansyah Cahya, Nayla Riskia Delilah, Eva Dessy Putri Wahyuningtyas Dhilan Sasmita Enal Wahyudi, Abdi Eva Delilah Eva Delilah Fadhila Amri, Nur Faisal Rahman Fajriana, Fajriana Fani Temarwut, Farid Fatimah Azzahra NF Ferdiana, Ryan Fiina Lanahdiyan Najah Firdaus, Siti Laya Nurbaiti Firmansyah Firmansyah Firmansyah Firmansyah, Arya Pramudya Fuadi Syam, Rahmat Fujiono, Fujiono Gunawan, Resky Nuralisa H, Rezha Ilma Hafsah, Hafni Hamdani Nur, Nur Hanayanti, Citra Siwi Hanum Nur Alifia Hasriani Hasriani, Hasriani Hayati, Ristia Nur Hikam, Zaki Maula Hilyah, Finan Azka Nuzilla Indrayani, Lilis Intan, Dyah Noor Iriany, Rosary Irmawati Irmawati Ishak, Pertiwi Iskandar, Imran Ismail Ismail Istiqamah, Nurul Jafar Jafar Jafar Jafar Jeffry Jeffry Jeffry Kahar Gani Khairunnisa, Salwa Kurniyan Sari, Sri Kusumawardhani, Anggun L.E.P, Benny La Wungo, Supriyadi Lempi, Herga Andar Lutfi Budi Ilmawan, Lutfi Budi M Rezky Armansyah Mahdia, Naila Maulida Manan, Linda Ifni Pratiwi Marcelina, Dona Mardewi, Mardewi Marzuki Maulani, Rista Nabilah Merdewiningsi, Andi Mindra, Davin Septian Misbah Abdul Aziz Muhammad Arfah Asis Muhammad Lutfi Muhammad Rijal Muhammad Rijal Muhammad Rijal Mutia Maulida Nasir, Norma Nasruddin Nasruddin Nur Ayu Asrhi Nur Ayu Asrhi Nur Hamadani Nur Nur Hamdani Nur Nur, Nur Hamdani Nurafni Shahnyb Nurafni Shahnyb Nurdyansa Nurul Fathanah Mustamin Nurul Fathanah Mustamin Nurul Istiqamah Nuzul Tenriana Osman, Isnawati Panggabean, Benny Leonard Enrico Paramitha, Aura Rahma Priambodo, Caka Gatot Putri Ayu Lestari Putrinima, Ayudia Qoryn Qamal Qamal Rahma, Nabila Nailatur Rahma, Widya Rahmania Nur Saputra Rahmat Fuadi Syam Rahmat Fuady Syam Reinata, Vanya Fara Restu Arsyana Rijal, Muhammad Rizqya Aufa Nuraini Rofi’i, Agus Rohmah Nur Hidayah Ronald Yehezkiel Sitompul Ryan Ferdiana Sari, Sri Kurniyan Satar Satar Sazeli, Aulya Sasikirana Sembiring, Darmawanta Shahnyb, Nurafni Shavi Khalwa Khalisha Shili, Hechmi Siti Saidah Soeriakartalegawa, Aldo Pranata Sofyan Sofyan Sudarmadi Putra Sumardi . Sumardi Sumardi Suroso Suroso Syahrul Usman Syam, Rahmat Fuadi Syam, Rahmat Fuady Tanniewa, Adam M Taufik , Akbar Taufik, Akbar Tazkillah, Ghina Ajmal Tb, Mar Athul Wazithah Triani, Novita Trianita, Desi Umar, Hendra Velayaty, Ali Akbar Vismania S. Damaianti, Vismania S. Wahab, Andyka Wahyudi, Andi Enal Wiftasya, Najla Wijaya, Neti Septi Wulandari, Ayu Ratna Wungo, Supriyadi La Yahya, Kurnia Yance Manoppo Yarkuran, Nuru Zahra Hasna Nabilla Zahra, Agifa Faiza Zhafira Tsania Rasyiffah Zulkarnain Zulkarnain