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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

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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.
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
Rancang Bangun Sistem Hidroponik Deep Flow Technique (DFT) Otomatis dengan Kontrol Suhu dan Larutan Nutrisi pada Tanaman Pakcoy Fil'aini, Raizummi; Taufiq, Habib M; Harmiansyah, Harmiansyah; Sabar, Sabar; Utari, Ni Wayan Arya
Teknotan: Jurnal Industri Teknologi Pertanian Vol 20, No 1 (2026): TEKNOTAN, April 2026
Publisher : Fakultas Teknologi Industri Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jt.vol20n1.11

Abstract

Penurunan produksi sayuran pakcoy di Indonesia akibat alih fungsi lahan mendorong pengembangan metode budidaya alternatif, salah satunya adalah sistem hidroponik Deep Flow Technique (DFT). Penelitian ini bertujuan merancang dan mengimplementasikan sistem hidroponik otomatis berbasis mikrokontroler Arduino Uno untuk mengontrol suhu air dan ketinggian air nutrisi yang dibutuhkan sayuran pakcoy. Sistem menggunakan sensor suhu DS18B20 dan sensor ultrasonik sebagai input, serta pompa DC dan relay sebagai aktuator. Sensor dikalibrasi dan divalidasi terhadap alat ukur standar untuk memastikan akurasi dan stabilitas sistem. Hasil pengujian menunjukkan bahwa akurasi sensor suhu berada di atas 97% dan sensor ultrasonik mencapai 99.83%. Sistem kontrol suhu aktif saat suhu melebihi 28℃, dan pengisian air otomatis aktif saat ketinggian air turun di bawah 30 cm. Penerapan sistem pada instalasi hidroponik menunjukkan respon otomatis yang efektif dalam menjaga parameter lingkungan. Hasil uji ANOVA taraf nyata 5% meunjukkan pengaruh tidak nyata terhadap tinggi tanaman. Nilai signifikan setiap parameter adalah 0.187 (tinggi tanaman), 0,118 (jumlah daun), dan 0,861 (berat tanaman). Perlakuan yang diberikan belum mampu meningkatkan pertumbuhan tanaman secara signifikan. Selain itu, penggunaan energi pada sistem otomatis lebih efisien karena pompa bekerja sesuai kebutuhan. Dengan demikian, sistem ini terbukti dapat meningkatkan efisiensi pengelolaan budidaya hidroponik dan mendukung pertanian presisi pada lahan terbatas.
Analisis Bibliometrik Keputusan Konsumen Berdasarkan Generasi: Tren Penelitian Dan Arah Masa Depan Rabihah, Syahda Elma; Sabar, Sabar
REVITALISASI : Jurnal Ilmu Manajemen Vol 15 No 1 (2026): REVITALISASI : Jurnal Ilmu Manajemen
Publisher : Universitas Islam Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32503/revitalisasi.v15i1.8630

Abstract

This study aims to conduct a comprehensive bibliometric analysis of the literature related to consumer decisions based on generations. In the ever-evolving digital age, understanding the complex and dynamic consumer decision-making process is critical. The study identifies the evolution of research, major contributors, as well as gaps in the current literature, and suggests directions for future research. The data was collected from the Scopus database and analyzed using the VOSviewer software. The results show that research on generation-based consumer decisions has increased rapidly, especially from 2021 to 2023. Generation Z and Millennials are more influenced by digital technology and social media, while Baby Boomers and Generation X are more responsive to traditional marketing. This study provides an in-depth view of research trends and patterns in generation-based consumer decisions, which is beneficial for researchers and marketing practitioners in developing strategies that are effective and relevant to each generation group. Keywords: Bibliometric analysis, consumer decisions, generation, research trends, digital marketing
Analysis of the Influence of Brand Experience on Brand Attachment and Loyalty of Perfume Consumers Using Gender as a Moderator Variable Larasati Vie; Sabar Sabar
International Journal of Economics and Management Research Vol. 4 No. 2 (2025): August: International Journal of Economics and Management Research
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijemr.v4i2.735

Abstract

Toward HMNS fragrances by incorporating brand passion, brand affection, and self-brand connection as mediating variables, and gender as a moderating variable. The research is motivated by the increasing competition within Indonesia’s local fragrance industry and the growing importance of brand experience in shaping emotional attachment and customer loyalty. A quantitative approach was employed using an online survey distributed to HMNS fragrance consumers who had prior brand usage experience. Data were analyzed using Structural Equation Modeling (SEM). The results indicate that brand experience significantly affects all three dimensions of Emotional Brand Attachment (EBA) : brand passion, self-brand connection, dan brand affection. Furthermore, these mediators significantly influence customer loyalty. Gender was also found to moderate the relationship between brand experience and certain EBA dimensions, suggesting differences in emotional processing between male and female consumers. The findings contribute theoretically by enriching the literature on the role of brand experience and emotional brand attachment within the local fragrance context, and practically by offering insights for HMNS to design more emotionally driven and personalized brand experience strategies.
Co-Authors Adi Mas Sulton Adji, Fine Isnadia Afriansyah, Aidil Agung Cahyono Agustian, Andry Ahmad Z. Purwalaksana 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 Basyar, Syaripudin Doni Praditya Duwi Harianto Duwi Hariyanto Emi Sunarti Emy Hajar Abra Fajar Paundra Fil'aini, Raizummi Fitrah Qalbina Gede Arnawa Ghustav D., Claudio Gladys Greselda Gosal Hadian Mandala Putra Harianto, Duwi Hariyanto, Duwi Harmiansyah Hyeni Roza Nofia, Hyeni Roza I Dewa Nyoman Arta Jiwa Intan Avionita Irma Nuur Rochmah, Irma Nuur Joni Joni Junko Alessandro Effendy Kertanah, Kertanah Khaerus Syahidi Kisna Pertiwi Kisna Pertiwi, Kisna Larasati Vie Livia Ersi Liza Husnita Madi, Madi Mahendra Wardhana, Mahendra Maranatha Wijayaningtyas Mufidah, Zunanik Muhammad Gazali Muhammad Syaukani Naimah, Khoirun Ni Wayan Arya Utari Nurrahman, Muhammad Arif Nurullah, Fajar Perdana Pardomuan S, Ernst Tunggul Pertiwi, Novalia Pratama, Rifki Adi Putra, Muhammad Trio Maulana Putty Yunesti Rabihah, Syahda Elma Rahadi, Irwan Rahmayeni sy Refni Yulia Ristu Haiban Hirzi, Ristu Ronaldo Ahmanda, Ronaldo Rudi Setiawan Sahala M.T. Panjaitan Sapiruddin, Sapiruddin Sari, Nitta Puspita Sa’adah, Nurul Laili Siahaan, Franky Silitonga, Jonathan Silverius S, Hotlas Sinaga, Hendra Sofyan, Sarwo Edhy Sri Mursidah Sujatmiko Sujatmiko Sulthan Syahril Syaripudin Basyar Taufiq, Habib M Teofilus Teofilus Wahyudie, Prasetyo Wibisono, Leonard Junio Witrianto Witrianto Yoserizal Yoserizal Zulkifli Aziz