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All Journal Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Indonesia Chimica Acta Jurnal Mirai Management Inovasi : Jurnal Ekonomi, Keuangan, dan Manajemen Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) Journal of Aquaculture and Fish Health JURNAL IT: Media Infromasi STMIK Handayani Makassar Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Al-Muamalat: Jurnal Hukum dan Ekonomi Syari'ah International Journal of Progressive Mathematics Education Jurnal Teknik Sipil Sulawesi Tenggara Educational Journal Journal of Aafiyah Health Research (JAHR) AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat International Journal of Health and Pharmaceutical (IJHP) Journal of Comprehensive Science Jurnal Ilmu Ekonomi Mulawarman (JIEM) Eduvest - Journal of Universal Studies Electrician : Jurnal Rekayasa dan Teknologi Elektro Sinergi International Journal of Management and Business The Eastasouth Journal of Information System and Computer Science Jurnal Pengabdian Masyarakat dan Riset Pendidikan Adpebi International Journal of Multidisciplinary Sciences Adpebi Science Series TINTA NUSANTARA : Jurnal Ekonomi, Manajemen, dan Akuntansi The Eastasouth Journal of Social Science and Humanities In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) Ecovision: Journal of Environmental Solutions Economic and Business Horizon INOVASI: Jurnal Ekonomi, Keuangan, dan Manajemen Room of Civil Social Development International Journal of Accounting and Management Information Systems
Muhammad Awaluddin, Muhammad
Program Studi Budidaya Perairan Universias Mataram
Religion Aerospace Engineering 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 Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Nursing Public Health Social Sciences Other

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Pemantauan dan Kontrol Otomatis Efisiensi Sel Surya melalui Simulasi Solar Tracker dengan Mikrokontroler Samsurizal, Samsurizal; Awaluddin, Muhammad; Azzahra, Septianissa
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 18 No. 3 (2024)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v18n3.2726

Abstract

Efektivitas panel surya dalam penerimaan iradiasi matahari menjadi permasalahan yang masih mempengaruhi adalah bahwa daya yang dihasilkan oleh panel surya belum mencapai titik maksimumnya. Terdapat beberapa faktor-faktor yang memengaruhi, salah satunya intensitas radiasi matahari dan sudut kemiringan matahari terhadap panel surya. Sudut kemiringan ini biasanya tetap karena banyak panel surya dipasang dalam instalasi statis. Oleh karenanya diperlukan sistem otomatis dalam penerimaan iradiasi matahari pada panel surya. Penelitian ini menggunakan metode analisis data kualitatif dilakukan dengan melakukan pengujian solar tracker baik dalam keaadaan tracking dan keaadan non tracking melalui observasi langsung. Data yang diambil merupakan data hasil outputan panel surya baik itu tegangan, arus serta daya baik dalam keadaan tracker diaktifkan dan tracker nonaktif. Pada penelitian ini didapatkan hasil bahwa efisiensi panel surya dalam keadaan tracker lebih tinggi dibandingkan dengan efisiensi panel surya dalam keadaan tracker dinonaktifkan, dimana pada pengujian yang telah di lakukan nilai efisiensi dari panel surya dalam keadaan tracker lebih besar 1,326951 % terhadap efiensi yang dihasilkan oleh panel surya dalam keadaan tracker dinonaktifkan
Effect of Non Performing Financing and Operating Expenses of Operating Income on Profitability of Islamic Commercial Banks Sapa, Nasrullah; Sudirman; Awaluddin, Muhammad
Adpebi International Journal of Multidisciplinary Sciences Vol. 1 No. 1 (2022)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/aijms.v1i1.291

Abstract

This study aims to determine the effect of Non-Performing Financing and Operating Expenses on Operating Income on the Profitability of Islamic Commercial Banks in Indonesia. This type of research uses quantitative research. The population used in this study were all Islamic Commercial Banks in Indonesia registered with the Financial Services Authority from 2016 - 2020, which amounted to 14 Islamic Commercial Banks. The sampling technique in this study used a purposive sampling method with a sample of six banks, namely Bank Muamalat Indonesia, Bank Mandiri Syariah, BNI Syariah, BRI Syariah, Bank Bukopin Syariah, and BCA Syariah. The data collection method used in this research is a library study in the form of document searches related to all aspects studied. And this study uses the Classical Assumption Test, Multiple Linear Regression, and Hypothesis Testing.
Pengaruh Problem Based Learning (PBL) Terhadap Kemampuan Pemecagan Masalah Ditinjau dari Gaya Kognitif Dedi Hidayat; Awaluddin, Muhammad
International Journal of Progressive Mathematics Education Vol. 4 No. 2 (2024)
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/ijopme.v4i2.11930

Abstract

Abstrak: Problem Based Learning (PBL) telah dikenal sebagai metode yang efektif dalam meningkatkan kemampuan pemecahan masalah siswa. Penelitian ini bertujuan untuk menginvestigasi pengaruh PBL terhadap kemampuan pemecahan masalah siswa SMP, dengan mempertimbangkan perbedaan gaya kognitif reflektif dan impulsif. Penelitian ini menggunakan pendekatan kuasi-eksperimental dengan desain pre-test dan post-test yang melibatkan dua kelompok siswa dengan gaya kognitif yang berbeda. Sampel penelitian terdiri dari siswa SMP yang dibagi menjadi dua kelompok berdasarkan gaya kognitif mereka, yaitu reflektif dan impulsif. Teknik analisis yang digunakan meliputi analisis statistik deskriptif dan inferensial untuk membandingkan perubahan kemampuan pemecahan masalah antara kelompok eksperimen yang mengikuti pembelajaran berbasis PBL dan kelompok kontrol yang mengikuti pembelajaran konvensional. Hasil penelitian menunjukkan bahwa PBL memiliki pengaruh positif terhadap peningkatan kemampuan pemecahan masalah pada kedua kelompok siswa, namun pengaruhnya lebih signifikan pada siswa dengan gaya kognitif reflektif dibandingkan dengan siswa impulsif. Penelitian ini memberikan kontribusi dalam memahami bagaimana gaya kognitif mempengaruhi efektivitas PBL dalam pembelajaran matematika dan mengusulkan implikasi praktis bagi pendidik untuk menyesuaikan metode pengajaran berdasarkan gaya kognitif siswa guna memaksimalkan hasil pembelajaran.
Adaptasi Sumber Daya Manusia terhadap Tren Kerja Jarak Jauh : Manajemen Kinerja dan Produktivitas Haryono, Untung; Awaluddin, Muhammad
Jurnal Mirai Management Vol 9, No 3 (2024)
Publisher : STIE AMKOP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/mirai.v9i3.8083

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh Adaptasi Sumber Daya Manusia (SDM), Penggunaan Teknologi, Fleksibilitas Waktu, Manajemen Diri, dan Manajemen Kinerja terhadap Produktivitas karyawan dalam konteks kerja jarak jauh. Analisis dilakukan menggunakan regresi linear berganda untuk menguji hubungan antara variabel bebas dan variabel dependen. Hasil uji t menunjukkan bahwa tidak ada variabel independen yang memiliki pengaruh signifikan terhadap produktivitas, dengan nilai signifikansi masing-masing variabel lebih besar dari 0,05. Sementara itu, hasil uji F menunjukkan bahwa secara simultan, semua variabel independen memiliki pengaruh signifikan terhadap produktivitas dengan nilai F sebesar 5,996 dan tingkat signifikansi 0,000. Namun, koefisien determinasi (R Square) sebesar 0,375 menunjukkan bahwa hanya 37,5% variasi produktivitas yang dapat dijelaskan oleh model, sementara 62,5% sisanya dijelaskan oleh faktor lain yang tidak termasuk dalam penelitian ini. Penelitian ini menyimpulkan bahwa meskipun adaptasi terhadap teknologi dan manajemen kinerja penting dalam konteks kerja jarak jauh, upaya tersebut belum cukup kuat untuk memberikan pengaruh signifikan terhadap produktivitas. Oleh karena itu, diperlukan pendekatan yang lebih menyeluruh untuk meningkatkan produktivitas karyawan dalam kerja jarak jauh. Kata kunci: kerja jarak jauh, adaptasi SDM, penggunaan teknologi, manajemen kinerja.
Analisis Faktor-Faktor yang Mempengaruhi Adopsi Aplikasi MyTEnS dengan Model Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) Pada Account Manager di Telkom Indonesia Tricahyono, Dodie Febri; Wiryawan, Yosef; Awaluddin, Muhammad
In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) Vol 23 No 1 (2024): In Search
Publisher : LPPM UNIBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37278/insearch.v23i1.1123

Abstract

To continue building performance excellence, Telkom launched five main strategies known as the Five Bold Moves strategy (Infraco, Data Center, B2B IT, Digico and FMC). Telkom Indonesia developed the MyTEnS application to create smoother and more efficient B2B business processes for Account Managers. This study seeks what factors influence MyTEnS adoption and which moderating variables will strongly moderate the acceptance of MyTEnS adoption. This research uses quantitative methods and the expanded UTAUT-2 model with the addition of Personal Innovativeness and Age and Job Tenure variables will become Moderation variables. This study used a sample of 129 respondents. Data analysis in this study uses path analysis using the SmartPLS program. The results of testing the hypothesis can be concluded that Effor expectancy, Hedonic motivation, and Personal innovativeness have a positive and significant influence on Behavioral Intention. Facilitating Conditions and Behavioral Intention have a significant positive effect on Use Behavior.
Impact of Head and Neck Radiotherapy on Perioperative Airway Management in Urological Surgeries: An Anesthetic and Vascular Perspective: Dampak Radioterapi Kepala dan Leher terhadap Manajemen Jalan Napas Perioperatif pada Bedah Urologi: Perspektif Anestesi dan Vaskular Ghiffary, Muamar; Reza, Muhammad Alfi; Sayati, Muhammad Satir; Awaluddin, Muhammad; Fauzi, Ahmad Nur
Journal of Aafiyah Health Research (JAHR) Vol. 6 No. 1 (2025): JANUARY-JUNE
Publisher : Postgraduate Program in Public Health, Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52103/jahr.v6i2.2026

Abstract

ABSTRACT Background: Radiotherapy is a primary treatment for various types of cancer, but it can cause long-term complications, including tissue fibrosis, vascular stenosis, and urological dysfunction. These effects influence anesthetic strategies, surgical technique selection, and postoperative management. Objective: This study aims to compare the effectiveness of endovascular techniques and open vascular reconstruction in managing post-radiotherapy vascular complications, as well as to evaluate the anesthetic and urological implications of radiation-induced tissue fibrosis. Method: This study reviews literature and clinical data on the effects of radiotherapy on the vascular system, airway, and urological system. The comparison between endovascular techniques and open vascular reconstruction is analyzed based on effectiveness, complication risks, and durability. Results: Endovascular techniques offer a minimally invasive approach with faster recovery but carry a higher risk of restenosis compared to open vascular reconstruction, which provides better long-term outcomes despite greater perioperative complications. In patients with post-radiotherapy fibrosis, carotid artery and jugular vein stenosis increase the risk of stroke, while radiation-induced urethral strictures require reconstructive approaches tailored to severity. In anesthesiology, patients with airway changes due to fibrosis are more safely managed with regional anesthesia and multimodal analgesia techniques. Conclusion: The management of post-radiotherapy patients requires a multidisciplinary approach involving anesthesiology, interventional radiology, urology, and vascular surgery specialists. Combining minimally invasive techniques with more aggressive reconstructive strategies can improve clinical outcomes in patients with vascular and urological complications resulting from radiotherapy.
Trends in Artificial Intelligence Research in Urology, Anesthesiology, Cardiology, and Otolaryngology: A Bibliometric Analysis (2019-2024) Sidharta Krisna, Muhammad; Alfi Reza, Muhammad; Ghiffary, Muamar; Satir Sayati, Muhammad; Awaluddin, Muhammad
International Journal of Health and Pharmaceutical (IJHP) Vol. 5 No. 1 (2025): February 2025 (Indonesia - Turkey - Malaysia - Australia - Iran)
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijhp.v5i1.403

Abstract

Background: The application of Artificial Intelligence (AI) in medicine is rapidly evolving, particularly in urology, anesthesiology, cardiology, and otolaryngology (ENT). AI is utilized in image-based diagnosis, patient monitoring, as well as the optimization of therapy and robotic surgery. However, research trends in AI within these fields have not yet been comprehensively mapped. Methods: This study employs bibliometric analysis to evaluate publication trends in AI across these four medical fields from 2019 to 2024. Data were collected from Google Scholar, PubMed, and Scopus, then analyzed using VOSviewer and R-Bibliometrix to identify the number of publications, keyword trends, institutional collaboration networks, and the most highly cited articles. Results: The number of AI-related publications in medicine has increased from 50 articles in 2019 to 130 articles in 2024. The United States, China, and the United Kingdom have the highest number of publications. Research trends indicate that deep learning and machine learning dominate, with broad applications in disease diagnostics and medical imaging. Cluster analysis reveals four main domains: anesthesiology (120 publications), cardiology (105 publications), urology (98 publications), and ENT (80 publications). Conclusion: AI has become an essential component in the advancement of modern medicine. With the increasing number of studies and multidisciplinary collaborations, AI is projected to continue expanding in data-driven diagnosis and therapy. However, challenges in clinical validation, regulation, and AI ethics must be addressed to ensure its safe and effective use.
Effectiveness of Kiambang Plant (Salvinia molesta) in Phytoremediation of Copper (Cu) Heavy Metal at Various Concentrations Awaluddin, Muhammad
Jurnal Akta Kimia Indonesia (Indonesia Chimica Acta) Volume 18, No 1: June 2025
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/ica.v18i1.43963

Abstract

This study aimed to determine the effectiveness of the kiambang plant (Salvinia molesta) in reducing copper (Cu) heavy metal concentrations in water bodies through phytoremediation. Copper concentrations of 3 ppm, 6 ppm, 9 ppm, 12 ppm, and 15 ppm were applied, and observations were conducted over seven days using a UV-Vis spectrophotometer at a wavelength of 445 nm. The results showed a significant effect of Cu concentration variation on the plant’s phytoremediation capacity, as indicated by the One Way ANOVA test (F-count 73.064 > F-table 3.05; p < 0.05). The highest remediation efficiency was observed at the 15 ppm concentration. Kiambang plants proved effective as phytoremediation agents in mitigating copper heavy metal pollution in aquatic environments.
The Effect of Money Supply and Interest Rates on Inflation in Indonesia Pisganidy, Marla; Awaluddin, Muhammad
INOVASI: Jurnal Ekonomi, Keuangan, dan Manajemen Vol. 21 No. 1 (2025): Februari
Publisher : Fakultas Ekonomi dan Bisnis Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jinv.v21i1.3504

Abstract

The determinant of a country with a stable economy is measured by the inflation rate which is the main factor in economic development, Inflation is a situation where price increases occur continuously in one period. The purpose of this study is to see the influence of Money Supply and Interest Rates in Indonesia. This research method uses ECM (Error Correction Model) and the data used is data from the period 2005 – 2020. The results of this study show that the Money Supply has a significant effect on Inflation. For interest rates, it shows results that have a significant effect on inflation. Based on the results of the study, in the long term the variable amount of money supply (X1) has no effect on the variable inflation (Y) in Indonesia, while in the short term the amount of money supply has an effect on inflation in Indonesia. For the Variable Interest Rate (X2) both in the long and short term it affects the inflation variable (Y) in Indonesia
Analysis of Upstream Cloud Technology Acceptance at Pertamina Hulu Energi Regional 4 Fatahillah, Ahmad Dzikra; Noviaristanti, Siska; Awaluddin, Muhammad
The Eastasouth Journal of Information System and Computer Science Vol. 3 No. 01 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v3i01.654

Abstract

This study aims to analyze the factors influencing the acceptance of Upstream Cloud technology at PT Pertamina Hulu Energi Regional 4. Upstream Cloud is part of the company's digital transformation strategy, expected to improve operational efficiency and competitiveness in the oil and gas industry. Using the Technology Acceptance Model (TAM) approach, this research examines the influence of Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Confidence Level of Users (CL), and Cost Effectiveness (CE) on the level of technology acceptance within the organization. The research was conducted through a survey involving employees of PT Pertamina Hulu Energi Regional 4, with data analyzed using inferential statistical methods to determine the relationships and the magnitude of influence of each variable. The results indicate that PU has a positive and significant effect of 33.3%, PEOU of 9.2%, CL of 39.1%, and CE of 14.9% on technology acceptance. Simultaneously, these four variables contribute a total of 96.5% to the acceptance of Upstream Cloud technology. These findings have important strategic implications for the company, including the need to enhance user competence and confidence through technical training and mentoring, intensify communication regarding the tangible benefits of cloud technology, and strengthen technical support. Additionally, although PEOU has a relatively small influence, ensuring ease of use remains essential to minimize adoption barriers, particularly for non-technical users. Regular evaluations of the technology's effectiveness are also recommended to adapt to the dynamic operational needs and technological advancements in the oil and gas industry.
Co-Authors Afwani, Royana Agistia, Nina Akbar Lufi Zulfikar Alfi Reza, Muhammad Amil Ahmad Ilham Angel, Priskila Arfiah Busari Aulia Herdiani B, Fitriani Budi Irmawati Dedi Hidayat Dodie Tricahyono Endang Sri Andayani Fadjar, Mohammad Fatahillah, Ahmad Dzikra Fauzi, Ahmad Nur Febrizal Ujang Ghiffary, Muamar Hajairin Haryono, Untung Ika Ernawati, Atis Indra Maulana` Indra Maulana Indriyanti, Ana Jiuhardi, Jiuhardi Joan Angelina Widians, Joan Angelina Juliansyah Roy Kesuma, Agus Maftuch Maftuch Miftahuddin Miftahuddin Mohammad Riza Sutjipto Muhammad Hibrian Wiwi Muhammad Niswar Najib, Achmad Naim Nastassya, Nastassya Pisganidy, Marla Rahmatulloh, Iman Reza, Muhammad Alfi Rudi Hartono Samritin Samsurizal Samsurizal Sapa, Nasrullah Satir Sayati, Muhammad Sayati, Muhammad Satir Selly Swandari Septianissa Azzahra Sidharta Krisna, Muhammad Siska Noviaristanti Siti Amalia Sudirman Sugiyanto, Muhammad Adi Sumayyah, Ishmah Tiara Aninditha Tirani, Elisabeth Tricahyono, Dodie Febri Widayati, Nurfiza Wiryawan, Yosef Yosef Febri Wiryawan, Yosef Febri Yunus, Ishak