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All Journal Jurnas Nasional Teknologi dan Sistem Informasi Titian Ilmu: Jurnal Ilmiah Multi Sciences JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Pendidikan Fisika dan Teknologi Jurnal Gema Ngabdi KARYA: Jurnal Pengabdian Kepada Masyarakat Jurnal Kependidikan Unram Journal of Community Service (UJCS) Journal Industrial Engineering and Management (JUST-ME) Jurnal Pengembangan Masyarakat Lokal Jurnal Riset Kajian Teknologi dan Lingkungan Indonesian Journal of Innovation and Educational Technology
Romi Aprianto
Universitas Samawa
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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PELATIHAN PENINGKATAN LITERASI DESAIN DIGITAL MAHASISWA MELALUI KEGIATAN TECH HACK SERIES II: CANVA FLEX Ardianti, Suji; Fitriyanto, Syarif; Walidain, Sri Nurul; Aprianto, Romi; Hidayat, Pipit
KARYA: Jurnal Pengabdian Kepada Masyarakat Vol 5 No 1 (2025): KARYA: Jurnal Pengabdian Kepada Masyarakat
Publisher : FKIP Universitas Samawa

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

Abstract

Kegiatan Tech Hack Series II dengan tema Canva Flex: Jagonya Design Kece Tanpa Ribet merupakan inisiatif Himpunan Mahasiswa Pendidikan Fisika untuk meningkatkan literasi desain digital mahasiswa, khususnya dalam pemanfaatan aplikasi Canva sebagai media bantu dalam proses pembelajaran. Pelatihan ini dilaksanakan pada tanggal 22 Maret 2025 di ruang 1 FKIP Universitas Samawa. Kegiatan ini menghadirkan dua narasumber yang memberikan materi teori dan praktik langsung terkait pemanfaatan Canva untuk keperluan akademik dan pembelajaran. Metode pelatihan dilakukan melalui presentasi, demo langsung, serta sesi praktik mandiri dengan pendampingan. Hasil kegiatan menunjukkan peningkatan minat dan kemampuan mahasiswa dalam membuat desain visual edukatif yang menarik dan komunikatif. Pelatihan ini menjadi salah satu upaya konkret dalam mendorong kompetensi literasi digital mahasiswa secara praktis dan aplikatif.
Pelatihan Pembuatan Konten Digital Menggunakan Aplikasi Canva Untuk Mengoptimalkan Pemasaran Produk UMKM di Desa Lab. Jambu Tawaqqal, Akbar; Aprianto, Romi; Hidayatullah, Syarif
Jurnal Gema Ngabdi Vol. 7 No. 1 (2025): JURNAL GEMA NGABDI
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jgn.v7i1.497

Abstract

Micro, small, and medium enterprises (MSMEs) face challenges in product marketing and visibility in the digital era. This community service project aimed to enhance the digital content creation skills of MSME owners in Labuan Jambu Village, Sumbawa Regency, using the Canva application. The method employed consisted of three stages: introduction to digital content and the Canva application, hands-on content creation practice, and one-month post-training mentorship. Results showed significant improvements in participants' understanding of digital content importance, ability to produce quality content, and implementation of digital strategies in their businesses. The majority of participants successfully created relevant content without direct assistance, leading to increased customer interactions on social media and product demand from outside the region. Challenges encountered included device limitations, unstable internet connections, and difficulties in maintaining consistent application. This activity contributes to the national agenda of MSME digitalization and can serve as a model for other regions. Recommendations include developing digital infrastructure, establishing a digital MSME community, integrating training into government programs, and diversifying training materials. In conclusion, this training effectively enhanced MSMEs' digital skills, supporting local economic growth and improving competitiveness in the digital era. Keywords: MSMEs, digital content, Canva, digital marketing, economic empowerment, digitalization
Analysis of Six Big Losses on Injection Molding Machines to Improve Production Effectiveness Tawaqqal, Akbar; Harjian, Muhammad Rivaldi; Aprianto, Romi
Journal Industrial Engineering and Management (JUST-ME) Vol. 6 No. 01 (2025): Journal Industrial Engineering and Management (JUST-ME)
Publisher : Program Studi Teknik Industri Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/justme.v6i01.95

Abstract

This study analyzes the six big losses affecting the effectiveness of injection molding machines to enhance production efficiency in the plastics industry. Utilizing Overall Equipment Effectiveness (OEE) as a key metric, the research measures availability, performance, and quality rates across ten injection molding machines to identify dominant loss factors. Through Pareto analysis and fishbone diagrams, the study pinpoints mold replacement, drool in the nozzle, and color replacement as primary contributors to reduced OEE. Data collected via interviews, observations, and company records reveal that idling, minor stops, and equipment failures account for significant time losses, with specific machines exhibiting OEE values as low as 56%. Recommendations include implementing preventive maintenance, standardizing machine parameters, improving production scheduling, and providing operator training to align with Total Productive Maintenance principles. These strategies aim to minimize downtime and optimize equipment utilization, offering practical solutions for improving productivity and competitiveness in manufacturing.
Predictive Modelling of Rainfall using Deep Learning Based on Satellite Data for Flood and Drought Disaster Mitigation in Sumbawa Regency Aprianto, Romi; Putra, Armansyah; Nufus, Hayatun
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 4 (2025): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i4.32556

Abstract

Floods and droughts in Sumbawa Regency have intensified in frequency and impact over recent decades, driven by complex climatic interactions and anthropogenic activities. Accurate rainfall forecasting is critical for effective disaster risk reduction and water resource planning. This study develops a Long Short-Term Memory (LSTM) model that integrates satellite-derived rainfall with global climate indicators (Sea Surface Temperature (SST) and Southern Oscillation Index (SOI)) to enhance monthly rainfall prediction. Compared to statistical baselines (SARIMAX: RMSE ≈ 92 mm) and machine learning baselines (Random Forest: RMSE ≈ 84 mm), the multivariate LSTM achieves superior performance with RMSE = 65.2 mm (R = 0.82), reducing forecast error by ~25%. The 12-month forecast for June 2025–May 2026 indicates an extended dry season (June–September) followed by intense rainfall peaking at 266 mm in February 2026, highlighting risks of hydrometeorological extremes. By pioneering the fusion of satellite data and LSTM in Indonesia, this research provides actionable insights for early warning systems and supports climate adaptation strategies in water management, agriculture, and disaster preparedness. The model offers a scalable framework for operational rainfall prediction in climate-vulnerable tropical regions.
Digital Literacy for Rural Teachers Through Optimization of Learning Applications to Support the Implementation of the Kurikulum Merdeka Syafruddin, Syafruddin; Aprianto, Romi; Safitri, Ade
Unram Journal of Community Service Vol. 6 No. 1 (2025): March
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i1.830

Abstract

This community service initiative focuses on enhancing digital literacy among teachers at SDN Semongkat, Sumbawa Regency, in an effort to support the implementation of the Merdeka Curriculum in remote areas. The program was executed through a series of workshops and intensive mentoring sessions on the utilization of learning applications such as Canva, Google Classroom, Quizizz, and Kahoot. The implementation method comprised three main stages: preparation, execution (consisting of socialization, training, and mentoring), and evaluation. The outcomes of the service demonstrated a significant improvement in teachers' abilities to use and integrate digital applications into their teaching practices. The primary challenge of infrastructure limitations was addressed through adaptive learning strategies. This program successfully enhanced the quality of learning at SDN Semongkat and fostered a digital-based professional learning community among teachers. This community service initiative made a tangible contribution to bridging the digital divide in remote areas and effectively supporting the implementation of the Merdeka Curriculum.
PREDIKSI CUACA EKSTREM BERBASIS SARIMAX DAN ANALISIS NERACA AIR SEBAGAI DASAR STRATEGI MITIGASI BANJIR SERTA ADAPTASI PERUBAHAN IKLIM DI KABUPATEN SUMBAWA Romi Aprianto; Ieke Wulan Ayu; Syarif Fitriyanto; M Anugerah Puji Sakti; Edrial Edrial
Jurnal Riset Kajian Teknologi dan Lingkungan Vol. 9 No. 1 (2026): Jurnal Riset Kajian Teknologi dan Lingkungan
Publisher : LPPM Universitas Samawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58406/jrktl.v9i1.2341

Abstract

Perubahan iklim telah memperbesar risiko banjir musiman dan kekeringan di Kabupaten Sumbawa. Penelitian ini bertujuan mengintegrasikan prediksi curah hujan, neraca air wilayah, dan kajian sosial untuk merumuskan strategi mitigasi–adaptasi berbasis bukti. Metode yang digunakan adalah pendekatan campuran: (i) pemodelan SARIMAX dengan variabel eksternal SOI dan SST untuk meramalkan curah hujan bulanan; (ii) perhitungan neraca air Thornthwaite-Mather melalui CROPWAT 8.0 serta simulasi skenario iklim (+2 °C, +10 % hujan) untuk tahun 2024, 2054, dan 2084; dan (iii) analisis persepsi masyarakat menggunakan Miles & Huberman yang diolah ke dalam kerangka SWOT kuantitatif. Hasil menunjukkan model SARIMAX (1,0,1) (1,1,1) [12] memiliki akurasi tinggi (MAE 38,45 mm; RMSE 55,23 mm) dan layak diintegrasikan ke sistem peringatan dini daerah. Neraca air di lima desa mencatat surplus singkat Januari–Maret, diikuti defisit delapan bulan sebesar 817,47 mm; simulasi mengindikasikan defisit tetap membesar meskipun curah hujan meningkat akibat lonjakan evapotranspirasi. Survei menunjukkan pola adaptasi masyarakat relatif tinggi namun mitigasi kelembagaan masih lemah di beberapa desa. Sintesis SWOT memposisikan strategi daerah pada kuadran progresif, menekankan pemanfaatan teknologi prediktif dan konservasi surplus air untuk menutup kelemahan infrastruktur dan pengetahuan. Integrasi temuan klimatologis, hidrologis, dan sosial ini memberikan kerangka komprehensif untuk menurunkan frekuensi serta dampak banjir sekaligus mengurangi kerentanan kekeringan di Sumbawa.
OPTIMALISASI GENERATIVE AI (QWEN) DALAM MENINGKATKAN EFISIENSI TUGAS GURU DAN TENAGA KEPENDIDIKAN DI SMA NEGERI 1 MOYO UTARA Romi Aprianto; Muhammad Iksan; Suharli Suharli; Erma Suryani; Akbar Tawaqqal
Jurnal Pengembangan Masyarakat Lokal Vol. 8 No. 1 (2025): Jurnal Pengembangan Masyarakat Lokal
Publisher : LPPM Universitas Samawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58406/jpml.v8i1.1934

Abstract

Perkembangan teknologi digital telah mendorong transformasi dalam dunia pendidikan, termasuk dalam cara guru dan tenaga kependidikan menjalankan tugasnya. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengoptimalkan penggunaan Generative AI, khususnya melalui platform Qwen, dalam meningkatkan efisiensi kerja di lingkungan SMA Negeri 1 Moyo Utara. Metode yang digunakan adalah pelatihan dan bimbingan teknis berbasis praktik langsung, yang melibatkan 27 peserta terdiri dari guru dan tenaga kependidikan. Data dikumpulkan melalui pretest, posttest, kuesioner, observasi, dan dokumentasi, lalu dianalisis secara deskriptif kuantitatif dan kualitatif. Hasil kegiatan menunjukkan peningkatan rata-rata pemahaman peserta sebesar 30,15 poin, serta peningkatan pemahaman tematik sebesar 35–45% pada aspek seperti konsep dasar AI, fungsi Qwen, aplikasi pembelajaran, dan etika teknologi. Peserta merasakan manfaat nyata berupa efisiensi waktu dalam menyusun dokumen administratif dan perangkat pembelajaran. Meskipun terdapat tantangan seperti keterbatasan infrastruktur dan literasi digital, kegiatan ini berhasil membangun kesadaran akan potensi AI sebagai mitra kerja profesional. Rekomendasi diarahkan pada penguatan kapasitas digital, pendampingan berkelanjutan, serta kebijakan sekolah yang mendukung pemanfaatan teknologi secara etis dan berkelanjutan.
PENINGKATAN KOMPETENSI GURU SD MELALUI WORKSHOP PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS AUGMENTED REALITY DI SDN BATU BULAN Romi Aprianto; Indah Dwi Lestari; Rini Qurratul Aini; Ana Merdekawaty; Wiwi Noviati
Jurnal Pengembangan Masyarakat Lokal Vol. 8 No. 2 (2025): Jurnal Pengembangan Masyarakat Lokal
Publisher : LPPM Universitas Samawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58406/jpml.v8i2.2073

Abstract

Kegiatan pengabdian ini bertujuan meningkatkan kompetensi awal guru sekolah dasar dalam memanfaatkan Augmented Reality (AR) untuk pembelajaran. Program dilaksanakan melalui lokakarya satu hari di SDN Batu Bulan (29 Juli 2025) dengan peserta 15 guru. Desain yang digunakan ialah one-group pretest–posttest. Instrumen meliputi tes pengetahuan 20 butir, checklist keterampilan praktik 12 indikator, dan rubrik integrasi AR pada perangkat ajar (4 kriteria). Analisis data mencakup uji normalitas Shapiro–Wilk dan uji paired t (? = 0,05) disertai ukuran efek dan CI 95%. Hasil menunjukkan peningkatan pengetahuan yang signifikan: rerata naik 19,07 poin (57,87 ? 76,93; t(14) = 18,42; p < 0,001; d = 4,76; CI 95% ?mean [16,85; 21,29]). Keterampilan praktik berada pada level kuat dengan ketercapaian rata-rata 85,0%; indikator operasional (instalasi, manajemen objek, publikasi) tinggi, sedangkan indikator diagnostik (penempatan marker/permukaan, troubleshooting, simpan–preview) relatif lebih menantang. Integrasi AR pada perangkat ajar berada pada kategori cukup (skor total 2,93 ± 0,50): “skenario kegiatan” dan “kelayakan teknis & manajemen kelas” baik, sementara “kesesuaian tujuan & materi” serta “asesmen & bukti belajar” perlu penguatan. Disimpulkan bahwa lokakarya singkat efektif sebagai pemantik peningkatan pengetahuan dan keterampilan dasar, dengan rekomendasi pendampingan pascapelatihan yang menajamkan tujuan terukur, asesmen autentik, serta latihan diagnostik teknis agar kualitas integrasi bergerak menuju kategori baik dan siap diimplementasikan di kelas.
PENINGKATAN PRODUKTIVITAS GURU DALAM PENULISAN ARTIKEL ILMIAH MELALUI PEMANFAATAN PLATFORM GENERATIVE AI (PERPLEXITY) (STUDI KASUS WORKSHOP DI SMAN MOYO UTARA) Romi Aprianto; Muhammad Iksan; Dita Tri Mulyani; Akbar Tawaqqal; Ana Merdekawaty; Erma Suryani
Jurnal Pengembangan Masyarakat Lokal Vol. 9 No. 1 (2026): Jurnal Pengembangan Masyarakat Lokal
Publisher : LPPM Universitas Samawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58406/jpml.v9i1.2339

Abstract

Keterbatasan guru dalam menghasilkan artikel ilmiah akibat beban kerja dan kesulitan riset mendorong perlunya solusi inovatif berbasis teknologi. Pengabdian masyarakat ini bertujuan meningkatkan produktivitas menulis 34 guru di SMAN Moyo Utara Kabupaten Sumbawa melalui workshop pemanfaatan platform Artificial Intelligence berbasis Perplexity. Metode pelaksanaan berupa studi kasus deskriptif-kualitatif dengan pendekatan pelatihan hands-on dan project-based learning. Hasil evaluasi menunjukkan peningkatan pengetahuan kognitif peserta yang signifikan dengan gain score ternormalisasi sebesar 65,1% serta tingkat kepuasan pelatihan rata-rata 4,63 (skala 5). Analisis dokumen membuktikan 82,4% peserta berhasil menyusun draft outline artikel dengan struktur IMRaD yang baik. Workshop ini berhasil mendemonstrasikan bahwa Perplexity AI berfungsi efektif sebagai scaffolding intelektual yang mempercepat tahap riset dan perancangan naskah. Kesimpulannya, integrasi alat AI spesifik dalam pelatihan yang terstruktur mampu meningkatkan kompetensi dan motivasi menulis ilmiah guru. Untuk keberlanjutan, diperlukan pendampingan lanjutan guna menguatkan kemampuan sintesis dan etika penggunaan sumber digital sehingga peningkatan kuantitas diiringi peningkatan kualitas karya tulis.
Development of PBL-Based E-LKPD to Improve Students’ Learning Motivation and Critical Thinking Skills Mawar Melinah; Syarif Fitriyanto; Suji Ardianti; Sri Nurul Walidain; Romi Aprianto; Fahmi Yahya; Hermansyah Hermansyah
Indonesian Journal of Innovation and Educational Technology Vol. 1 No. 1 (2026): Edisi Januari-Juni 2026
Publisher : Indonesian Publication Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67434/ijiet.v1i1.2072

Abstract

This study was motivated by the fact that students demonstrated suboptimal learning motivation and weak critical thinking skills in understanding the abstract topic of temperature and heat. The objective of this research was to develop a physics E-LKPD based on the Problem-Based Learning (PBL) model and to examine its validity, practicality, and effectiveness in learning activities. The study employed a Research and Development (R&D) approach guided by the ADDIE framework, consisting of five main stages: analysis, design, development, implementation, and evaluation. The participants included one physics teacher and 35 eleventh-grade students from MAN 1 Sumbawa. Data were collected through expert reviews, surveys from both the teacher and students, as well as pre- and post-tests to assess students’ motivation levels and critical thinking abilities. The findings revealed that the developed E-LKPD achieved a validity score of 90.4%, a practicality score of 88%, and an effectiveness level reflected by an average N-Gain value of 0.71, which falls into the high category. Furthermore, students’ learning motivation reached 82.44% (high category), and their critical thinking ability reached 79.3% (moderately high). Therefore, the E-LKPD, designed with a Problem-Based Learning (PBL) approach, is considered suitable as a physics learning medium, capable of enhancing both the quality of the learning process and students’ learning outcomes.
Co-Authors Ade Safitri, Ade Adnan Akbar Tawaqqal Ana Merdekawaty Ardianti, Suji Arif Juliansyah Arif Juliansyah Armansyah Putra, Armansyah Dewi Kaca Dita Tri Mulyani Edrial Erma Suryani Erma Suryani Fahmi Yahya Fahmi Yahya Fahmi Yahya Harjian, Muhammad Rivaldi Hayatun Nufus Hermansyah Hermansyah Hermansyah Hermansyah Hermansyah Hidayat, Pipit Ieke Wulan Ayu Indah Dwi Lestari Kirbani Sri Brtopuspito M Anugerah Puji Sakti Mawar Melinah Muhammad Iksan Musahrain Musahrain Nurhairunnisah, Nurhairunnisah Permata Ayu Dwi Puspitasari Permata Ayu Dwi Puspitasari Rini Qurratul Aini Siti Nurhalisa Sri Nurul Walidain Sri Nurul Walidain Sri Nurul Walidain Suharli, Suharli Suji Ardianti Syafruddin Syafruddin Syafruddin Syafruddin Syarif Fitriyanto Syarif Fitriyanto Tawaqqal, Akbar Walidain, Sri Nurul Wiwi Noviati Yahya, Fahmi