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All Journal Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Sainteknol : Jurnal Sains dan Teknologi Majalah Ilmiah Teknologi Elektro
Rizky Ajie Aprilianto
Universitas Negeri Semarang
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Medicine & Pharmacology Public Health Other

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Modified SEPIC Converter Performance for Grid-connected PV Systems under Various Conditions Rizky Ajie Aprilianto; Subiyanto Subiyanto; Tole Sutikno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.10148

Abstract

Step-up converter is widely used to increase DC voltage level on PV systems either off-grid or grid connected. One of the step-up converters often used in PV systems is SEPIC converter. To improve its performance, many SEPIC converters have been modified. However, performance on various conditions has not been further investigated. In this study, the modified SEPIC converter was investigated under various change conditions for grid-connected PV applications. This converter was modelled and simulated using PSIM software. The modified SEPIC converter received input from PV array 15 kWp, and its output was connected to the three-phase inverter with grid and load. The irradiance level and ambient temperature were varied to test its performance and compared to Boost converter and SEPIC converter. For all tests, the performance of modified SEPIC converter was better than other step-up converters because it was able to rectify the quality of output voltage and more efficient.
Isolation of Probiotic Lactic Acid Bacteria (LAB) From Commercialized Yogurt Based on 16s rRNA Gene Apriansyah Wibowo; Kaisar Akhmad Khan; Dewi Mustikaningtyas; Rizky Ajie Aprilianto
Sainteknol : Jurnal Sains dan Teknologi Vol. 23 No. 1 (2025): June 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sainteknol.v23i1.19825

Abstract

Yogurt, a globally cherished dairy product, is celebrated not only for its creamy texture and tangy flavour but also for its numerous health benefits, primarily attributed to lactic acid bacteria (LAB). Key LAB species such as Lactobacillus bulgaricus and Streptococcus thermophilus drive the fermentation process, transforming milk into yogurt through lactic acid production. This study aims to isolate and identify LAB species from various yogurt brands using the 16S rRNA gene, employing advanced microbial analysis techniques such as PCR. Yogurt samples from five different brands were collected from a local convenience store in Gunungpati, Central Java, Indonesia. The bacterial inoculation was carried out using MRS agar, and isolated colonies were subjected to direct colony PCR with primers 27f and 1492r. The PCR products were analyzed using agarose gel electrophoresis. The results demonstrated that direct colony PCR is an effective technique for rapidly and accurately detecting bacterial species without the need for DNA extraction. All five yogurt samples contained Lactobacillus sp., as evidenced by the amplification of DNA fragments approximately 1500 base pairs in size. This study confirms the specificity and effectiveness of the 27f/1492r primers in identifying Lactobacillus sp., providing more information for further research on the probiotic roles of LAB in yogurt quality and health impacts.
Peningkatan Kompetensi Keahlian Siswa SMK dengan Pelatihan Konsep dan Instalasi Pembangkit Listrik Tenaga Surya Subiyanto Subiyanto; Mario Norman Syah; Abdurrakhman Hamid Al-Azhari; Rizky Ajie Aprilianto; Bagaskoro Saputro; Ubaidillah Siroj; Faiq Mananul Faqih; Icha Arifah Annisa; Nektar Cahayasabda; Setya Budi Arif Prabowo; Bayu Adi Pambudi; Deyndrawan Sutrisno
ABDI: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 7 No 2 (2025): Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : Labor Jurusan Sosiologi, Fakultas Ilmu Sosial, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/abdi.v7i2.1098

Abstract

Tren penggunaan energi baru terbarukan (EBT) telah mengalami peningkatan yang sangat signifikan setiap tahun. Realisasi aplikasi EBT di Indonesia didominasi oleh Pembangkit listrik tenaga surya (PLTS), hal ini dipengaruhi oleh letak geografis Indonesia yang berada pada garis khatulistiwa dengan iklim tropis. Untuk menunjang peningkatan penggunaan PLTS yang semakin tinggi, dibutuhkan upaya untuk meningkatkan jumlah tenaga profesional dibidang instalasi PLTS. Upaya peningkatan tenaga profesional dibidang PLTS dapat dilakukan melalui kegiatan pengabdian yang berfokus pada pelatihan profesi teknisi PLTS. Proses pelatihan dilakukan dengan metode ceramah dan praktikum sebagai tambahan materi bagi siswa jurusan Teknik Instalasi Tenaga Listrik (TITL) SMK Muhammadiyah Mungkid. Kombinasi antara materi pokok yang didukung dengan trainer interaktif PLTS sistem statis dapat berpotensi menghasilkan lulusan yang terampil dibidang instalasi PLTS. Potensi dari pelatihan ini telah dibuktikan melalui capaian hasil pre test dan post test kegiatan pelatihan yang menunjukkan adanya peningkatan yang signifikan dalam pemahaman dan keterampilan siswa dibidang instalasi PLTS.
Review on Impact of Artificial Intelligent on Efficiency and Productivity in Industrial Automation Ega Nur Fawwaz; Lita Dwi Setianingsih; Satria Krisna Prabantara; Fatahillah Nabil Fawwaz; Dwi Alvin Hidayat; Rizky Ajie Aprilianto; Feddy Setio Pribadi
Majalah Ilmiah Teknologi Elektro Vol 24 No 1 (2025): ( Januari - Juni ) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.205.v24i01.P09

Abstract

As Industry 4.0 technologies evolve, the application of Artificial Intelligence (AI) in the manufacturing sector has become a major factor in improving operational efficiency, optimizing production processes, and reducing costs, enabling predictive analytics, data-driven maintenance, and automation of tasks that previously required human intervention. This study conducts a systematic literature review (SLR) on various AI methods applied in industrial automation, evaluates the effectiveness of their implementation, and identifies key challenges in their adoption. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Population,   Intervention, Comparison, Outcome, Context (PICOC) approaches are adopted. The sources used to search the literature included four electronic databases, comprising ScienceDirect, Taylor & Francis, Scopus, and Emerald Insight, resulting in 33 selected articles. The result shows that AI contributes significantly to improving production efficiency, but it still faces challenges in system integration, implementation costs, and workforce readiness. This study provides a comprehensive overview of the effectiveness of AI implementation in industrial automation and the challenges that need to be overcome to optimize competitiveness and production efficiency
IMPLEMENTASI DRIP IRRIGATION BERBASIS IOT DAN ENERGI SURYA PADA KELOMPOK TANI KUBIS Rizky Ajie Aprilianto; Subiyanto Subiyanto; Nur Anita; Fauzul Adzim; Faiq Mananul Faqih; Aisya Fathimah; Wildatul Afiah; Apriansyah Wibowo; I Gede Bagus Jayendra; Listiana Sukaesi; Bayu Adi Pambudi; Yohanes Lenaldo Sinaga; Febrian Adi; Muhammad Hilmi Farras
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 7 No. 2 (2026): Inpress Vol. 7 No. 2 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v7i2.56109

Abstract

Irigasi yang efektif sangat penting untuk memenuhi kebutuhan air tanaman sekaligus mencegah penguapan berlebih dan kekurangan air. Praktik konvensional seringkali menyebabkan pemborosan air dan pupuk sehingga menurunkan efisiensi produksi pertanian, Kegiatan ini bertujuan untuk menerapkan sistem drip irrigation berbasis Internet of Things (IoT) dan energi terbarukan meningkatkan efisiensi penggunaan air dan nutrisi pada budidaya kubis di Kelompok Tani Bangkit Merbabu. Sistem ini mengintegrasikan sensor kelembapan tanah, suhu, dan kelembapan udara yang terhubung ke mikrokontroler untuk melakukan monitoring dan kontrol otomatis. Irigasi dan fertigasi dijadwalkan sesuai kebutuhan tanaman dengan mode otomatis. Hasil penerapan menunjukkan bahwa sistem fertigasi tetes berbasis IoT mampu meningkatkan efisiensi waktu kerja sebesar 80%, dibandingkan metode konvensional, dengan penghematan air mencapai 40%. Penerapan sistem ini menunjukkan potensi signifikan dalam mengoptimalkan sumber daya pertanian, meningkatkan produktivitas, serta mendukung penerapan pertanian presisi dan berkelanjutan berbasis energi terbarukan.
The Role of Big Data Analytics and Artificial Intelligence in Business Strategy: A Systematic Review Nazli Rahmeisi; Mu'alfi Fahrul Fanani Sachroni; Yehezkiel Nesta Andyanto; Rizky Ajie Aprilianto; Feddy Setio Pribadi
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 16 No. 2 (2025): JURNAL SIMETRIS VOLUME 16 NO 2 TAHUN 2025
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v16i2.14909

Abstract

The accelerating digital transformation across industries has intensified the need for datadriven approaches in strategic business management. This study conducts a Systematic Literature Review (SLR) to examine how Big Data Analytics (BDA) and Artificial Intelligence (AI) influence business strategy formulation, risk management, and organizational competitiveness. Guided by the PICOC framework and PRISMA 2020 protocol, 27 peer-reviewed journal articles published between 2020 and 2024 were analyzed through thematic synthesis and bibliometric visualization using VOSviewer. The results indicate that BDA and AI enhance strategic decision-making, operational efficiency, and risk mitigation through predictive insights and real-time analytics. However, their strategic integration remains limited due to socio-technical challenges such as inadequate analytical capability, weak data governance, and organizational resistance. The review highlights that the true strategic value of BDA and AI emerges when these technologies are embedded within long-term strategic planning, data governance, and sustainability frameworks, rather than treated merely as operational tools. This study contributes to strategic management literature by synthesizing cross-sectoral evidence and offering insights into how data-driven intelligence fosters long-term competitiveness and sustainable business transformation.
Co-Authors Abdurrakhman Hamid Al-Azhari Aisya Fathimah Apriansyah Wibowo Bagaskoro Saputro Bayu Adi Pambudi Dewi Mustikaningtyas Deyndrawan Sutrisno Dwi Alvin Hidayat Ega Nur Fawwaz Faiq Mananul Faqih Fatahillah Nabil Fawwaz Fauzul Adzim Febrian Adi Feddy Setio Pribadi I Gede Bagus Jayendra Icha Arifah Annisa Kaisar Akhmad Khan Listiana Sukaesi Lita Dwi Setianingsih MARIO NORMAN SYAH Mu'alfi Fahrul Fanani Sachroni Muhammad Hilmi Farras Nazli Rahmeisi Nektar Cahayasabda Nur Anita Satria Krisna Prabantara Setya Budi Arif Prabowo Tole Sutikno Ubaidillah Siroj Wildatul Afiah Yehezkiel Nesta Andyanto Yohanes Lenaldo Sinaga