Article Per Year (5 Year)
p-Index From 2021 - 2026
5.481
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 Jurnal Fisika Unand 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) 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 Law & Pass : International Journal of Law, Public Administration and Social Studies 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

Published : 43 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 43 Documents
Search

 1   2   3   4   5 
The Influence Of Brand Experience Dimensions On Brand Loyalty Of Coffee X With Age Moderation Adji, Fine Isnadia; Sabar, Sabar
Journal Research of Social Science, Economics, and Management Vol. 4 No. 12 (2025): 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.v4i12.942

Abstract

The growth of the local coffee industry in Indonesia as triggered intense competition. The ‘ngopi’ (coffee-drinking) culture, increasing purchasing power, and evolving lifestyles have created promising business opportunities. The homogeneity concepts among coffee businesses has driven the innovation of competitive advantages. Customer loyalty is crucial for sustainability of Kopi X. This research investigates the influence of brand experience on customer loyalty in local coffee shops, using Kopi X as a case study. This quantitative study employs an online questionnaire and structural equation modelling (SEM) with the aid of AMOS software. The independent variables are brand experience (sensory, affective, behavioral, and intellectual) and brand love. The dependent variable is brand loyalty, with age serving as a moderating variable. The research findings indicate that brand experience dimensions such as sensory experience, affective experience, and intellectual experience have a positive and significant effect on brand love. However, the behavioral experience dimension does not significantly influence brand love. Brand love exerts a positive and significant influence on brand loyalty. Age strengthens the influence on brand love on brand loyalty. This research is expected to provide empirical contributions to the understanding of the factors influencing loyalty in local coffee shops. The results can offer strategic recommendations for coffee business stakeholders to enhance customer loyalty through effective brand experience management.
Twist and chord optimization using the linearization method on the taper blade of a micro-horizontal axis wind turbineTwist and chord optimization using the linearization method on the taper blade of a micro-horizontal axis wind turbine Syaukani, Muhammad; Aryadi, Anugrah Wahyu; Arirohman, Ilham Dwi; Sofyan, Sarwo Edhy; Bahar, Aditiya Harjon; Sabar, Sabar
Jurnal Polimesin Vol 22, No 5 (2024): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i5.5540

Abstract

The research aims to optimize the geometry of taper blade profiles for the Horizontal Axis Wind Turbine (HAWT) to improve aerodynamic performance and minimize fabrication complexity. The study used blade linearization as an optimization method for identifying a desirable twist (β) and chord (Cr). This approach enhances accuracy and boosts computational efficiency. It simplifies the optimization process by reducing complexity. In contrast, traditional nonlinear methods are slower and more resource-intensive due to complex aerodynamic interactions. The best β and Cr distributions were found by linearization with elements 1 and 10 of the blade length and positions 5%, 15%, 25%, 35%, 45%, 55%, 65%, 75%, 85, and 95% of the blade elements. The linearization results were used to determine the optimum performance of the HAWT design using simulation. The optimal blades for HAWT were fabricated and their performance evaluated under real wind conditions. The linearization of the 45% twist and chord of elements 1 and 10 provided the best blade shape. Optimized twist and chord yielded HAWT performance with the Cp of 45% to 47% at rotational speeds of 200–900 rpm and wind speeds of 2–10 m/s. Twist and chord optimization increased the Cp from 39.71% to 46.43% with a rotational speed of 550 rpm at a wind speed of 6 m/s, as well as the maximum mechanical power from 424.28 watts to 500.35 watts at a wind speed of 10 m/s. The result from real wind conditions showed that manufactured HWAT produced an average electrical power of 294.19 watts at a rotational speed of 590.66 rpm. These results demonstrate that the optimized design approach presents a close match and is still reasonable in comparison to practical conditions.
Meningkatkan Efektivitas Pemasaran pada Perusahaan Crane dengan Metode QSPM Alfiansyah, Tariq Aziz; Sabar, Sabar
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i4.57769

Abstract

PT. Indocrane Wahana Solusindo (IWASO) adalah perusahaan yang bergerak di bidang penjualan crane, menghadapi tantangan dalam mempertahankan dan meningkatkan pangsa pasarnya di tengah persaingan industri yang ketat. Berdasarkan kutipan dari Direktur diketahui terindikasi penurunan penjualan dalam beberapa tahun terakhir menunjukkan bahwa perlu segera mengembangkan strategi pemasaran yang lebih efektif untuk mengatasi tantangan pasar, meningkatkan pertumbuhan bisnis serta memperkuat posisi kami di tengah persaingan industri yang semakin ketat. Berdasarkan data penjualan perusahaan yang tidak kunjung naik, maka studi ini perlu dilakukan untuk mengidentifikasi dan merumuskan strategi pemasaran yang efektif sehingga membantu perusahaan dalam meningkatkan penjualan. Tujuan penelitian ini mengidentifikasi faktor-faktor utama yang termasuk dalam Evaluasi Faktor Internal dan Evaluasi Faktor Eksternal IWASO, serta merancang strategi pemasaran yang efektif untuk penjualan crane di perusahaan tersebut. Metode yang digunakan dalam penelitian ini adalah Quantitative Strategic Planning Matrix untuk mengevaluasi dan menentukan prioritas strategi pemasaran yang paling tepat berdasarkan analisis terhadap faktor-faktor internal dan eksternal perusahaan. Analisis IFE dilakukan untuk mengidentifikasi kekuatan dan kelemahan internal perusahaan, sementara analisis EFE digunakan untuk mengidentifikasi peluang dan ancaman eksternal. Hasil penelitian menunjukkan bahwa dengan mengidentifikasi kekuatan dan kelemahan internal serta peluang dan ancaman eksternal, IWASO dapat meningkatkan daya saingnya di pasar crane. Kontribusi penelitian ini adalah memberikan rekomendasi strategi pemasaran yang efektif bagi IWASO. Implementasi praktis dari hasil penelitian ini memberikan prioritas strategi yang paling efektif untuk diterapkan yaitu mengembangkan digitalisasi produk untuk meningkatkan pangsa pasar dan memperkuat hubungan pelanggan loyal dengan memberikan penawaran khusus purna jual.
Implementasi Pelatihan Perakitan Robotik Sederhana Terhadap Tingkat Kapasitas Tenaga Pengajar Sekolah Global Madani Bandar Lampung Afriansyah, Aidil; Sabar, Sabar; Harianto, Duwi
Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Vol. 7 No. 2 (2023)
Publisher : Lembaga Penelitian dan Pengabdian Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jss.v7i2.423

Abstract

Penggunaan media pembelajaran yang tepat dan inovatif dapat meningkatkan motivasi belajar dan mengurangi sikap pasif siswa. Selain dapat membantu manusia dalam mengerjakan tugas-tugasnya, robot dapat dijadikan sebagai media pembelajaran. Tujuan dilaksanakan pengabdian ini adalah meningkatkan kapasitas tenaga pengajar sehingga dapat secara mandiri membuat robot sederhana sebagai media pembelajaran serta mengajarkannya ke peserta didik. Pelatihan robotik sederhana dilaksanakan dengan metode diskusi dan simulasi. Teknik pengumpulan data berupa kuesioner dan dokumentasi hasil pelatihan yang diberikan di setiap akhir pertemuan. Hasil analisis menunjukkan bahwa pemahaman tenaga pengajar mengenai robot dan perakitannya meningkat.
Perspective Boarding Education Renewal K.H. Abdul Wahid Hasyim and Its Relevance to Contemporary Islamic Education Sabar Sabar; Sulthan Syahril; Syaripudin Basyar
Edumaspul: Jurnal Pendidikan Vol 8 No 1 (2024): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of Islamic boarding school education has brought changes to various aspects of human life. Although traditionalists are often not completely affected, there are similarities between traditional Islamic boarding school educational institutions and modernist changes. One of the Islamic boarding school education figures who made a contribution was KH. Abdul Wahid Hasyim, is known as a bridge between Islamic boarding school civilization and modern civilization. This research focuses on two main problems, namely the form of reform of Islamic boarding school education from the perspective of KH. Abdul Wahid Hasyim and its relevance to contemporary Islamic education. The research method used is library study, collecting data from various library sources such as books and articles related to Islamic boarding school education reform. The research results show that the idea of renewing Islamic boarding school education by KH. Abdul Wahid Hasyim emerged from disappointment with colonialism which was detrimental to indigenous people. These reform efforts include institutional, methodological, library and curriculum aspects. KH. Abdul Wahid Hasyim also founded Madrasah Nizamiyyah and developed Islamic higher education, which later developed into the State Islamic University (UIN). This reform plays an important role in advancing Islamic boarding school education and educating society. Its relevance to contemporary Islamic education can be seen in the transformation of Islamic higher education institutions in Indonesia. Thus, the contribution of KH. Abdul Wahid Hasyim has formed the foundation for the development of modern Islamic education in this country.
Pemetaan Emosi Publik seputar Pengumuman UTBK 2025 di Indonesia: Pendekatan Multi-Label dengan Kalibrasi Bertarget Sari, Rizki Yustisia; Sabar, Sabar; Joni, Joni; Pratama, Gelard Unthirta; Ronal, Ronal; Hastito, Fadli
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2028.18.1.1

Abstract

This study maps public emotions in Indonesian-language tweets related to the 2025 UTBK announcement using multi-label emotion classification. The main challenges in multi-label emotion classification on social media include extreme label imbalance, distribution shift between training and application data, and weak lexical signals for specific emotions. This study aims to build a reliable emotion modeling framework for long-tail social media corpora while demonstrating generalizable post-training calibration practices. The novelty lies in the integration of four components: (1) per-label posterior calibration using Platt scaling, (2) precision-targeted per-label thresholding frozen from the development set, (3) score-quantile–based rate targeting to align predicted prevalence with domain-based rates, and (4) context-limited lexicon-aware boosting with a final clamp. The proposed pipeline is lightweight and model-agnostic. This research adopts a quantitative experimental approach by varying post-training calibration components to measure their impact on classification performance. An IndoBERTweet model is trained using BCEWithLogitsLoss on manually annotated data, then calibrated and evaluated on development and test sets. The results demonstrate balanced micro- and macro-level performance, improved detection of minority labels, and emotion mapping over 3,500 tweets with prevalence distributions consistent with Plutchik’s theory of emotions.
Sistem Deteksi Cacat Pada Biji Kopi Melalui Model Algoritma Roboflow- Detection Transformer (RF-DTER) Sabar, Sabar; Nazuwatussya’diyah, Nazuwatussya’diyah; Pertiwi, Kisna; Fathurahman, Muhamad
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2026.18.1.3

Abstract

Coffee bean quality control is a critical stage in processing industries to meet export and consumption standards. Traditional visual manual inspection often results in inconsistency, subjectivity, and reduced production throughput. This research implements the Roboflow Detection Transformer (RF-DETR), an end-to-end transformer-based object detection architecture, to identify subtle and complex coffee bean defects. The study uses image processing and machine learning with a labeled dataset of 2,010 coffee bean images classified into five defect categories: brown, black, unripe, broken black, and partially black. The data are split into 75% training, 17% validation, and 8% testing. Performance evaluation shows RF-DETR detects and classifies all defect types effectively, achieving a mean Average Precision (mAP) of 97,6%, with 95,7% precision, 91,0% recall, and an F1 score of 93,29%. These results indicate that RF-DETR balances accurate spatial localization with reliable class prediction, minimizes false positives, and maintains strong detection sensitivity. Therefore, RF-DETR provides a solid technological basis for high-precision, real-time automated coffee bean sorting in industrial settings. For deployment, it can be integrated with production cameras and conveyor sorting actuators to deliver fast, consistent decisions. Future work may optimize augmentation, lighting calibration, and edge computing deployment to improve robustness across varied production lines in practice.
Legal Protection for Child Offenders in Conflict with the Law at the West Java High Prosecutor’s Office: A Quantitative Study Based on 2022–2024 Case Data Sabar, Sabar; Iryana, Anri; William Alphazandra, Arvin; Ahmad Jamaludin
LAW & PASS: International Journal of Law, Public Administration and Social Studies Vol. 2 No. 6 (2026): February
Publisher : PT. Multidisciplinary Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/lawpass.v2i6.100

Abstract

Children in conflict with the law constitute a vulnerable group that requires special legal treatment to safeguard their rights and mitigate the adverse effects of criminal proceedings on their physical, psychological, and social development. In Indonesia, this protection is primarily governed by Law Number 11 of 2012 on the Juvenile Criminal Justice System, which prioritizes restorative justice and diversion as the main approaches for resolving juvenile cases. This study examines the regulatory framework, implementation, and effectiveness of legal protection for children in conflict with the law, with particular attention to the application of restorative justice and diversion and the fulfillment of children’s rights at each stage of the criminal justice process. The research employs a normative juridical approach, supported by empirical case data from the West Java High Prosecutor’s Office covering 2022–2024 (n = 788), with cases predominantly involving boys. The findings indicate that although the existing legal framework provides relatively comprehensive safeguards, implementation remains suboptimal due to inconsistent application of norms, weak inter-agency coordination, and limited social support for rehabilitation and reintegration. Strengthening institutional coordination, improving procedural compliance, and expanding community-based support are therefore essential to enhance the effectiveness of child protection within the juvenile justice system.
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 Aisyara, Arien 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 Bagus Hermanto Bahar, Aditiya Harjon Bambang Widjanarko Otok Basyar, Syaripudin Chalid, Achmad AA Doni Praditya Duwi Harianto Duwi Hariyanto Emi Sunarti Emy Hajar Abra Fajar Paundra Fathurahman, Muhamad Fil'aini, Raizummi Fitrah Qalbina Gede Arnawa Ghifari, Hamzah Daffa Ghustav D., Claudio Gladys Greselda Gosal Hadian Mandala Putra Halid, Muhammad Akmal Harianto, Duwi Hariyanto, Duwi Harmiansyah Hastito, Fadli Hendra Prasetia Hendrawan, Rezki Naufan 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 Komariah, Rahma Nur Livia Ersi Liza Husnita Madi, Madi Mahendra Wardhana, Mahendra Maranatha Wijayaningtyas Mufidah, Zunanik Muhammad Gazali Muhammad Syaukani Naimah, Khoirun Nazuwatussya’diyah, Nazuwatussya’diyah Ni Wayan Arya Utari 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 Refni Yulia Rhahmi Adni Pesma 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 Siahaan, Franky Silitonga, Jonathan Silverius S, Hotlas Simatupang, Lamtongam Sinaga, Hendra Sofyan, Sarwo Edhy Sri Mursidah Sujatmiko Sujatmiko Sulthan Syahril Syaripudin Basyar Taufiq, Habib M Teofilus Teofilus, Teofilus Wahyudie, Prasetyo Wibisono, Leonard Junio Widiatama, Angga Jati William Alphazandra, Arvin Witrianto Witrianto Yoserizal Yoserizal Zulkifli Aziz