Article Per Year (5 Year)
p-Index From 2021 - 2026
5.177
P-Index
This Author published in this journals
All Journal Teknotan: Jurnal Industri Teknologi Pertanian JTEV (Jurnal Teknik Elektro dan Vokasional Pendidikan Sejarah JAM : Jurnal Aplikasi Manajemen Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan ITEj (Information Technology Engineering Journals) Briliant: Jurnal Riset dan Konseptual Jurnal Pendidikan : Riset dan Konseptual Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Teknologi Terapan Indonesian Physical Review Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Paradigma International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Community Development Journal: Jurnal Pengabdian Masyarakat JURNAL USM LAW REVIEW Jurnal Manajemen Widya Amerta Jurnal Ilmiah Edutic : Pendidikan dan Informatika Mamangan Social Science Journal Journal Research of Social Science, Economics, and Management TeknoKreatif: Jurnal Pengabdian kepada Masyarakat LAWPASS Journal of Sciencce Technology and Visual Culture Jurnal Polimesin ELECTROPS : Jurnal Ilmiah Teknik Elektro Edumaspul: Jurnal Pendidikan Qiyas : Jurnal Hukum Islam dan Peradilan
Sabar Sabar
Unknown Affiliation
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 Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

Published : 42 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 42 Documents
Search

 1   2   3   4   5 
Tren Terbaru Penerapan Machine Learning Mendeteksi Masalah dalam Kesehatan Mental Perspektif Hukum Islam Aryani, Wilia Novi; Sabar, Sabar
QIYAS: JURNAL HUKUM ISLAM DAN PERADILAN Vol 9, No 2 (2024)
Publisher : UIN Fatmawati Sukarno Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29300/qys.v9i2.5811

Abstract

Abstracts: Machine Learning (ML) has seen rapid development in recent years and is increasingly being applied in the detection of mental health disorders. The implementation of this technology represents a significant effort to enhance the role of technology in healthcare, particularly in psychotherapy. This scholarly article will discuss the application of machine learning through a literature review approach. Research indicates that machine learning has substantial potential as an early detection system for mental health issues. Moreover, this technology is capable of conducting measurements with high accuracy. In this article, we will summarize the foundational knowledge regarding the latest applications of machine learning in the diagnosis of mental health disorders, utilizing various computational algorithm methods, including mathematical calculations and artificial intelligence. This represents a part of the Industry 4.0 revolution, which is bringing significant changes to our approach to mental health. Keywords: Machine Learning, Mental health, Revolution industry 4.0 Abstrak : Teknologi Machine Learning atau Pembelajaran mesin adalah suatu metode yang sedang berkembang dalam beberapa tahun terakhir telah banyak di implementasikan dan dipelajari sebagai alternatif dari system deteksi gangguan kesehatan mental. Penerapan Teknologi Machine learning merupakan suatu bentuk upaya peranan teknologi dalam berkontribusi di bidang kesehatan khususnya bidang psikoterapi. Pada artikel ilmiah ini akan berdiskusi berkaitan penerapan teknologi machine learning dengan pendekatan literature review. Penerapan teknologi machine learning terbukti potensinya sebagai system deteksi dini bagi masalah kesehatan mental. Tekonologi machine learning juga mampu melakukan pengukuran dengan hasil yang baik. Pada penulisan artikel ini, pengetahuan dasar akan dirangkum mengenai penelitian pengaplikasian teknologi machine learning terbaru untuk system diagnosis gangguan kesehatan mental dengan menggunakan beberapa metode komputasi algoritma baik secara perhitungan matematis dan kecerdasan buatan sebagai system untuk menganalisis kesehatan mental sebagai perwujudan hadirnya revolusi industry 4.0. Kata kunci: Teknologi Machine Learning, Kesehatan Mental, Revolusi Industry 4.0
The Influence of TikTok-Based Content and Influencer Marketing on Purchase Intention of Eiger Travel Products among Generation Z: The Moderating Role of Gender Akbar, Mhd Furqan; Sabar, Sabar; Otok, Bambang Widjanarko; Noer, Lissa Rosdiana
Journal Research of Social Science, Economics, and Management Vol. 5 No. 7 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i7.1312

Abstract

The rapid growth of short-video–based social media, particularly TikTok, has transformed the way companies engage with consumers and stimulate purchase intention, especially among Generation Z as digital natives. However, for local brands such as Eiger in the travel and outdoor equipment industry, a key challenge remains in converting digital marketing activities into actual purchase intention, as reflected in the gap between high offline conversion rates and relatively low online sales contributions. This research aims to analyze the effects of content marketing and influencer marketing on purchase intention for Eiger’s travel products among Generation Z using a quantitative approach through a survey of 300 respondents who have been exposed to Eiger’s TikTok content. The research model is analyzed using the Stimulus–Organism–Response (S-O-R) framework and tested with Partial Least Squares–Structural Equation Modeling (PLS-SEM) employing SmartPLS software. The findings indicate that both content marketing and influencer marketing significantly enhance perceived enjoyment, which in turn serves as a strong mediator in increasing purchase intention. Furthermore, gender moderates the relationship between content marketing and perceived enjoyment, with female consumers showing greater responsiveness to storytelling and aesthetically appealing content, while male consumers respond more strongly to informative content. In contrast, gender does not moderate the relationship between influencer marketing and perceived enjoyment, suggesting a relatively homogeneous perception of influencers among Generation Z consumers. This study contributes to the literature by extending the application of the S-O-R theory to short-video marketing contexts and enriching empirical insights into Generation Z consumer behavior in Indonesia.
Co-Authors Adi Mas Sulton Adji, Fine Isnadia Afriansyah, Aidil Agung Cahyono Agustian, Andry Ahmad Jamaludin Ahmad Z. Purwalaksana Akbar, Mhd Furqan Alfajrin, Achmad Chalid Afif Alfiansyah, Tariq Aziz Algifari, Muhammad Habib Alwan Hadiyanto Ammalia, Nuuru Rizky Anjela, Rara Arham, La Ode Arirohman, Ilham Dwi Aryadi, Anugrah Wahyu Aryani Novianti, Baiq Aryani, Wilia Novi Azizurrohman, Muhammad Azry Ayu Nabillah Bagus Hermanto Bahar, Aditiya Harjon Bambang Widjanarko Otok Basyar, Syaripudin Boy Sembaba Tarigan Chalid, Achmad AA Doni Praditya Duwi Harianto Duwi Hariyanto Emi Sunarti Emy Hajar Abra Erny Amalia Lestari Fajar Paundra Fathurahman, Muhamad Fitrah Qalbina Gede Arnawa Ghustav D., Claudio Gladys Greselda Gosal Hadian Mandala Putra Harianto, Duwi Hariyanto, Duwi Hastito, Fadli Hufadz, Muhamad Ihsan Hyeni Roza Nofia, Hyeni Roza I Dewa Nyoman Arta Jiwa Intan Avionita Irma Nuur Rochmah, Irma Nuur Iryana, Anri Joni Joni Junko Alessandro Effendy Kertanah, Kertanah Khaerus Syahidi Kisna Pertiwi Kisna Pertiwi, Kisna Livia Ersi Liza Husnita Madi, Madi Mahendra Wardhana, Mahendra Maranatha Wijayaningtyas Mufidah, Zunanik Muhammad Gazali Muhammad Syaukani Naimah, Khoirun Nazuwatussya’diyah, Nazuwatussya’diyah Noer, Lissa Rosdiana Nurrahman, Muhammad Arif Nurullah, Fajar Perdana Pardomuan S, Ernst Tunggul Pertiwi, Novalia Pratama, Gelard Unthirta Pratama, Rifki Adi Putra, Muhammad Trio Maulana Putty Yunesti Rahadi, Irwan Rahmayeni sy Ramadhani, Africo Refni Yulia Ristu Haiban Hirzi, Ristu Ronal, Ronal Ronaldo Ahmanda, Ronaldo Rudi Setiawan Sahala M.T. Panjaitan Sapiruddin, Sapiruddin Sari, Nitta Puspita Sari, Rizki Yustisia Sa’adah, Nurul Laili Shodiq, Burhan Siahaan, Franky Silitonga, Jonathan Silverius S, Hotlas Sinaga, Hendra Sofyan, Sarwo Edhy Sri Mursidah Sujatmiko Sujatmiko Sulthan Syahril Syaripudin Basyar Teofilus Teofilus, Teofilus Wahyudie, Prasetyo Wibisono, Leonard Junio William Alphazandra, Arvin Witrianto Witrianto Yoserizal Yoserizal Zulkifli Aziz