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Determinan Niat dan Perilaku Berinfak: Sebuah Bukti Empiris dari Muslim Millenials Herianto; Hasbi; Irnandas, Muh
Jurnal Magister Ekonomi Syariah Vol. 1 No. 2 Desember (2022): J-MES: Jurnal Magister Ekonomi Syariah
Publisher : Program Studi Magister Ekonomi Syariah, Fakultas Ekonomi dan Bisnis Islam, Universitas Islam Negeri Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jmes.2022.012-04

Abstract

Infak as one of the Islamic financial instruments that also has a role in encouraging increased welfare and reducing social inequality. This study aims to analyze the determinants of the use of online platforms to pay infak among Indonesian millennial Muslims. This paper provides an enrichment of the determinants of intention to pay infak through a digital platform which of course is expected to be taken into consideration in policy formulation for stakeholders including philanthropic organizations. A quantitative approach with a structural equation model (SEM) was chosen in analyzing the data with the help of the SmartPLS application.3. The research sample was 76 respondents spread across several islands in Indonesia. The existing respondents are determined by the main criteria, namely Muslims aged 24-39 years who represent the Millennial generation. Data collection is done online with the help of google forms which are distributed through social media. Through this study, it was found that social presence, and ease of access to financial facilities have a positive effect on the intention to donate using a digital platform. However, when the variables of religiosity and ease of access were moderated by donating behavior,it was not found significant effect.
Design and Development of a Low-Cost Programmable Air Regulator for Soft Pneumatic Actuators Ritonga, Syahirul Alim; Sarah Iftin Atsani; Mohammad Ardyansah; Raditya Fadhil Arva; Herianto; Adrian Axel Yohannes
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID488

Abstract

Soft Pneumatic Actuators (SPAs) are widely utilized due to their affordability, simplicity, and ability to produce diverse movements such as bending and twisting by regulating air pressure. However, precise air pressure control remains a significant challenge in achieving desired actuator motions and maintaining performance consistency. While commercial programmable air regulators exist, their high cost often limits accessibility for budget-conscious research and educational institutions. This study addresses this challenge by designing and developing a low-cost programmable air regulator tailored for SPAs. Utilizing widely available and inexpensive components, the system aims to provide precise and reliable pressure control, democratizing SPA technology for researchers, small industries, and educational institutions. The regulator employs a stepper motor with a 1.8-degree step resolution and a 1:4 gear ratio, offering fine granularity in pressure adjustments. Carefully selected speed (1000 steps/s) and acceleration (500 steps/s) parameters ensure consistent operation under repetitive use. The program code of Arduino UNO microcontroller developed in this study can be readily adopted by researchers and practitioners. The regulator consistently achieves desired pressures through precise control of motor revolutions, proving to be a viable, cost-effective alternative to expensive commercial options.
PENGARUH PERKEMBANGAN KEUANGAN TERHADAP PEMBERDAYAAN PEREMPUAN: BUKTI EMPIRIS DARI NEGARA-NEGARA ANGGOTA G20 Hasbi; Andi Ajeng Tenri Lala; Herianto
Revenue : Jurnal Ekonomi Pembangunan dan Ekonomi Islam Vol 8 No 01 (2025): Revenue : Jurnal Ekonomi Pembangunan dan Ekonomi Islam
Publisher : Sekolah Tinggi Ilmu Ekonomi Bakti Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56998/wb9jhb47

Abstract

Pemberdayaan perempuan merupakan salah satu tujuan pembangunan berkelanjutan yang telah menjadi kesepakatan global yang masih terus diperjuangkan untuk mewujudkannya. Tujuan penelitian ini untuk menguji dan menganalisis secara mendalam hubungan antara tingkat pendidikan dan  financial development pada level makro di negara anggota G20 berdasarkan klaster kelompok agama yang dianut. Penelitian ini menggunakan pendekatan kuantitatif model analisis regresi data panel, data yang digunakan berupa data sekunder diperoleh dari World Development Indikator (WDI) dan Global Financial Development (GFD). Pengambilan data menggunakan teknik perposive sampling, selanjutnya data diolah dan dianalisis dengan bantuan aplikasi statistik Eviews 10. Hasil penelitian menunjukkan dua temuan bahwa, pertama, semua indikator pengukuran Financial development dan tingkat pendidikan perempuan berpengaruh secara signifikan terhadap pemberdayaan perempuan, pada klaster negara non-Muslim anggota G20. Kedua, kredit domestik disektor privat dan modal aset bank berpengaruh positif secara signifikan sedangkan aset lembaga keuangan  non bank berpengaruh negatif secara signifikan terhadap pembedayaan perempuan di negara klaster Muslim demikian pula dengan tingkat pendidikan perempuan yang berpengaruh negatif secara signifikan. Dengan demikian,  negara-negara anggota G20 yang mayoritas penduduk non Muslim memberikan ruang lebih terhadap pemberdayaan perempuan dengan didukung oleh tingkat penduduk perempuan dan perkembangan sektor keuangan. Namun, tidak demikian dengan negara-negara Muslim anggota G20.
Analisis Yuridis Tindak Pidana Kekerasan Dalam Rumah Tangga yang Dilakukan Oleh Militer Ditinjau dari Perspektif Hukum Militer dan Hukum Islam Herianto; Ahmad Makbul
Al-Zayn: Jurnal Ilmu Sosial, Hukum & Politik Vol 3 No 3 (2025): 2025
Publisher : Yayasan pendidikan dzurriyatul Quran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61104/alz.v3i3.1503

Abstract

Kekerasan dalam rumah tangga (KDRT) yang dilakukan oleh prajurit militer merupakan bentuk pelanggaran serius yang tidak hanya melanggar hukum pidana umum, tetapi juga mencederai integritas institusi militer. Penelitian ini bertujuan untuk menganalisis pertanggungjawaban hukum terhadap anggota TNI pelaku KDRT ditinjau dari perspektif hukum militer dan hukum Islam. Metode yang digunakan adalah pendekatan yuridis normatif dengan teknik analisis deskriptif dan pendekatan komparatif. Hasil penelitian menunjukkan bahwa anggota militer yang melakukan KDRT dapat dijatuhi sanksi disiplin dan pidana berdasarkan KUHPM dan UU No. 23 Tahun 2004. Dalam hukum Islam, tindakan kekerasan terhadap istri hanya dibolehkan dalam batas syariat yang sangat ketat dan tidak boleh melukai secara fisik maupun mental. Kajian ini menegaskan bahwa penyelesaian KDRT oleh prajurit TNI memerlukan pendekatan hukum yang komprehensif agar keadilan substantif dan perlindungan korban dapat diwujudkan secara adil dan manusiawi.
Deteksi Serangan Brute Force SSH Menggunakan Klasifikasi Naïve Bayes pada Log Cowrie Honeypot di Lingkungan Virtual Prasetyo, Arya Adhari; Herianto; Yahya; Syamsiyah, Nur
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.88

Abstract

The increasing number of brute force cyberattacks targeting SSH services highlights the urgent need for effective early detection and mitigation systems. This study aims to analyze brute force attack patterns using the Naïve Bayes classification algorithm based on log data generated by the Cowrie Honeypot. A simulated virtual environment was developed to emulate attack scenarios and generate authentic SSH log data while preserving real server confidentiality. The system architecture follows the CRISP-DM framework, including data preprocessing, model development, evaluation, and deployment. Evaluation using confusion matrix metrics showed that the Naïve Bayes algorithm successfully distinguished brute force attempts from normal traffic with high accuracy, precision, recall, and F1-score. The findings confirm the potential of combining Cowrie honeypot data with machine learning classifiers as an early warning tool for intrusion detection in enterprise network infrastructures.
Penentuan Sektor Unggulan Dan Struktur Pertumbuhan Ekonomi Kabupaten Buton Herianto; Sarlin; Mardiana; Sari , Andira; Gusnawati, Rina
Papsel Economic Journal Vol. 1 No. 2 (2024): Maret - Juni
Publisher : Papsel Riset dan Konsultan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63185/pej.v1i2.21

Abstract

Penelitan ini bertuuan untuk menentukan sektor unggulan dan struktur ekonomi Kabupaten Buton periode 2019-2023. Alat analisis yang digunakan dalam penelitian ini yaitu analsis location quotiention (LQ) dan tipologi klassen. Hasil analsisis location quotiention (LQ) menunjukan pertambangan penggalian, sektor listrik dan gas, pengadaan air pengelolaan, sampah limbah dan daur ulang, perdagangan besar dan eceran; reparasi mobil, adm pemerintahan pertahanan jam sos wajib dan jasa pendidikan. Hasil analisis tipologi klassen menunjukan Kudaran I sektor pertambangan dan penggalian, pengadaan listrik dan gas, perdagangan besar dan eceran, reparasi mobil, adm pemerintahan daerah pertahanan jaminan sosial wajib. Kudaran II sektor pengadaan air, pengolahan limbah dan daur ulang serta jasa pendidikan. Kuadran III industri pengolahan, konstruksi, penyediaan akomodasi dan makan minum, Informasi dan Komunikasi. Sektor pada kuadran ini merupakan sektor potensial atau dapat berkembang dan jasa perusahaan. Kuadran IV pertanian, Kehutanan dan Perikanan, transportasi dan pergudangan, jasa keuangan dan asuransi, real estate, jasa kesehatan dan Kegiatan Sosial serta Jasa lainnya
Comparison of 3D Printing Technologies for Polymer-HA Bone Scaffolds: A Systematic Review Toward Hybrid Fabrication Strategies Kumarajati, Dhananjaya Yama Hudha; Herianto; Herliansyah, Muhammad Kusumawan; Kusmono; Tontowi, Alva Edy
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): INPRESS
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.8230

Abstract

Bone scaffold fabrication using 3D printing faces a fundamental dilemma: the trade-off between mechanical strength and biological functionality. To address this challenge, a systematic literature review (SLR) of 28 primary research articles was conducted to compare various hydroxyapatite-based scaffold fabrication technologies. The analysis confirms a clear trade-off: Fused Filament Fabrication (FFF) excels in mechanical strength, Digital Light Processing (DLP) in architectural precision (<100 µm), and Direct Ink Writing (DIW) in flexibility for bio-functionality, proving no single method is ideal. The main conclusion is that hybrid fabrication strategies—intelligently integrating the strengths of multiple technologies—offer the most promising approach to creating functional scaffolds with an optimal balance of strength and bioactivity for future clinical applications.
Technology Trends, Innovations, and Future Research Directions in 3D Printing (Additive Manufacturing): A Systematic Literature Review Santoso, Banu; Dhananjaya Yama Hudha Kumarajati; Herianto; Alva Edy Tontowi; Muhammad Kusumawan Herliansyah
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): INPRESS
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.8232

Abstract

3D printing or Additive Manufacturing (AM) technology has experienced rapid growth in the past five years, driven by the integration of new technologies such as artificial intelligence (AI), bio- and nano-composite materials, and blockchain-based security systems. This study aims to analyze technology trends, key innovations, and predict future research directions in AM using a Systematic Literature Review (SLR) approach to 80 Scopus/WoS indexed articles. The results show that AI plays a central role in improving production efficiency and accuracy, while material innovations expand AM applications to the medical and aerospace sectors. In addition, the application of 4D printing and blockchain is beginning to form a new paradigm in intelligent and decentralized manufacturing. The 2025–2030 research roadmap compiled from these findings shows a strategic focus on adaptive AI, multifunctional bioinks, modular manufacturing systems, and full integration between AM, blockchain, and smart materials. This study not only identifies research trends and gaps but also offers strategic contributions to the development of future AM technologies in a more adaptive, sustainable, and secure manner.
A Comprehensive Review of AI, Machine Learning, Deep Learning, and GANs Integration in Additive Manufacturing: Trends, Applications, and Challenges Santoso, Banu; Herianto; Wangi Pandan Sari; Alva Edy Tontowi
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): INPRESS
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.8233

Abstract

The integration of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Generative Adversarial Networks (GANs) into Additive Manufacturing (AM) has opened new horizons for intelligent, efficient, and adaptive production processes. This paper provides a comprehensive review of current trends, diverse applications, and emerging challenges in the convergence of these technologies within AM systems. We explore how AI-driven techniques contribute to real-time monitoring, defect detection, process optimization, and design generation, enhancing the overall quality, precision, and scalability of 3D printing. ML and DL approaches enable predictive modeling and adaptive control, while GANs offer promising capabilities in generative design and synthetic data augmentation. The review highlights key research contributions, technological advancements, and industrial implementations, mapping the landscape of intelligent AM. Moreover, it discusses the limitations of data availability, model interpretability, computational requirements, and integration complexities. Finally, the study identifies future directions for research, including hybrid AI models, physics-informed learning, and sustainable AM development. By synthesizing multidisciplinary insights, this paper aims to guide researchers and practitioners toward more intelligent, automated, and sustainable additive manufacturing frameworks through the strategic adoption of AI and its subfields. Keywords: Additive Manufacturing, Machine Learning, Artificial Intelligence, 3D Printing, Deep Learning
Analisa Prioritas Bandwidth Menggunakan Metode HTB (Hierarchical Token Bucket) Studi Kasus : SMK Taruna Mandiri Pekanbaru Yuda Irawan; Herianto; Siti Aisyah; Refni Wahyuni
SATIN - Sains dan Teknologi Informasi Vol 8 No 1 (2022): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/stn.v8i1.814

Abstract

Banyaknya kebutuhan dunia pendidikan yang mengharuskan pihak pengembang aplikasi dalam mengembangkan berbagai terobosan teknologi untuk mendukung stabilitas dalam berinteraksi. Harga Bandwitdh yang cukup tinggi menyebabkan pihak sekolah melakukan pembatasan jumlah Bandwitdh yang diberikan oleh operator. Semakin meningkatnya kebutuhan akan internet hal ini menjadi permasaalahan bagi pengguna. Permasalahannya adalah semakin banyak yang membuka situs di internet tentu akan mengurangi kuota atau paket data. Untuk menyelesaikan permasalahan ini maka dilakukan proses tahapan analisa prioritas bandwidth menggunakan metode HTB (Hierarchical Token Bucket). Metode ini mempunyai kelebihan dalam pembatasan trafik pada tiap level maupun klasifikasi, sehingga bandwidth yang dipakai level yang tinggi dapat digunakan atau dipinjam oleh level yang lebih rendah. Berdasarkan hasil analisa dan pengujian yang telah dilakukan Penulis, maka dapat disimpulkan bahwa Metode antrian Hierarchical Token Bucket dinilai lebih efektif membagi bandwidth secara adil dan merata kepada masing-masing client yang membutuhkan bandwidth, terlihat dari grafik perhitungan nilai QoS yang telah dilakukan. Dari hasil perhitungan dalam pengujian metode HTB melalui download berkas, nilai rata-rata yang diperoleh berdasarkan standar kategori TIPHON untuk indeks parameter. Throughtput indeks parameter delay bernilai 4 dengan indeks parameter jitter indeks parameter packet loss.