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All Journal JURNAL PENDIDIKAN TAMBUSAI Jurnal Onoma: Pendidikan, Bahasa, dan Sastra SCRIPTA SCORE Scientific Medical Journal Narra J Jurnal Elkasista Electrician : Jurnal Rekayasa dan Teknologi Elektro Indonesian Journal of Auditing and Accounting JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia
Maulana, Rafi
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Other

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A Rancang Bangun Sistem Pengendali Lampu Jalan Otomatis Berbasis Sensor Cahaya dan Mikrokontroler Arduino: Pengendali Lampu Jalan Otomatis Wahyu Imam Fauzi Wibisono; Syafaat, Mokhammad; Kasiyanto; Widiatmoko, Dekki; Maulana, Rafi
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.v18n3.2700

Abstract

Abstract — To improve energy efficiency and street light operation, this study proposes the design of an automatic street light control system based on a light sensor and Arduino microcontroller. Conventional street lights are often turned on throughout the night without considering the surrounding lighting, leading to energy waste. The proposed system uses a light sensor to detect ambient light intensity and uses data from the sensor to automatically control the street light's on and off state. The research methodology includes the development of both software and hardware components. Light sensors are strategically placed to instantly measure the surrounding light intensity. The Arduino microcontroller is programmed to process data from the light sensor and control a relay connected to the street light. When the light intensity drops below a certain threshold, the microcontroller will activate the street light, and when the light intensity exceeds the predetermined threshold, the light will turn off. This study finds that an automatic street light control system based on a light sensor and Arduino microcontroller is an economical and efficient solution to optimize energy use in street lighting. This system can be widely implemented to support energy-saving programs and smarter, more efficient street lighting infrastructure management. Keywords— Light sensor, Arduino microcontroller, Automatic street light control, Energy efficiency, Street lighting optimization
Unraveling the power of peptides from Cucumaria frondosa coelomic fluid as multitarget therapy of diabetic kidney disease: An in-silico study Rita, Rauza S.; Cuandra, Kevin N.; Nasri, Syahidatul A.; Carmenita, Mutiara A.; Kristaningtyas, Nathania A.; Rasendriya, Daffa Z.; Maulana, Rafi; Hibatullah, Muhammad N.; Yahono, Angela S.; Afdhal, Fitrah; Ibrahim, Filzatuz Z.; Nayu, Balqist K.; Teguh, Muhammad
Narra J Vol. 5 No. 1 (2025): April 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i1.1180

Abstract

Diabetic kidney disease is a condition characterized by persistent albuminuria, diabetic glomerular lesions, and a reduced glomerular filtration rate in people with diabetes. Peptides in Cucumaria frondosa coelomic fluid have been proven to provide antidiabetic and anti-inflammatory activity that can be used as one of the innovations in developing a multitarget therapy, especially in diabetic kidney disease. Therefore, the aim of this study was to unravel the power of peptide-based metabolites from C. frondosa coelomic fluid as multitarget therapy for diabetic kidney disease using an in-silico study. UCSF Chimera software was utilized to construct the three-dimensional structure of coelomic fluid peptides from C. frondosa. The toxicity and allergenicity of peptides were examined using the ToxinPred and AllerTop websites, respectively. From the PDBJ database, the 3D structures of protein kinase B, alpha isoform (AKT1); vascular endothelial growth factor receptor 2 (VEGFR2); epidermal growth factor receptor (EGFR); α-glucosidase; and glucokinase were obtained. Molecular docking was carried out using MOE Software. In this in-silico study, peptide 9 (-10.32 kcal/mol), peptide 1 (-9.41 kcal/mol), and peptide 3 (-9.55 kcal/mol) were shown to act as specific adenosine triphosphate-competitive inhibitors of EGFR, AKT1, and VEGFR2, respectively. Peptide 8 (-11.06 kcal/mol) can specifically inhibit α-glucosidase by binding to its active site. Peptide 1 (-9.80 kcal/mol) is predicted to specifically inhibit glucokinase activity by blocking its active side. Molecular dynamics simulations confirmed stable interactions with receptor proteins. In conclusion, C. frondosa coelomic fluid peptides have been shown not only to alleviate diabetic kidney disease but also to stabilize blood glucose levels and prevent hyperglycemia based on in-silico analysis.
In silico analysis of Arbacia lixula-derived peptides and plasmid construction for recombinant anti-aging therapies Yenny, Satya W.; Jamsari, Jamsari; Hazmi, Auliya A.; Cuandra, Kevin N.; Hanifah, Wafiq; Yahono, Angela S.; Wahyudi, Dhyani P.; Buana, Gherriandi R.; Rahman, Awalil RK.; Maharani, Annisa D.; Firjatullah, Muhammad F.; Maulana, Rafi; Prayogi, Norbertus M.; Tristan, Christopher D.
Narra J Vol. 4 No. 3 (2024): December 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v4i3.1283

Abstract

Skin aging is one of the degenerative processes influenced by tyrosinase, elastase, collagenase, hyaluronidase, and matrix metalloproteinase-9 (MMP9) activity. One promising avenue for discovering antiaging therapeutics is the peptides from the Arbacia lixula spine. The aim of this study was to explore the potential of peptides from A. lixula spine as a multitarget inhibitor for recombinant antiaging therapies through in silico approaches. The crystal structure of peptides previously identified in A. lixula spine was visualized using the UCSF Chimera. The protein data bank (PDB) database was used to obtain the crystal structures of protein targets. The webservers Innovagen, AllerTop, and ToxinPred were utilized to predict the peptide's water solubility, toxicity, and allergenicity. MOE application was used to prepare all ligands and proteins, molecular docking, and visualization. Molecular dynamics simulations were carried out on the protein-ligand complexes on Yasara Dynamics application. The Benchling website was used to perform virtual electrophoresis and reconstruct the recombinant plasmid (Psb1c3). Based on the molecular docking results, peptide REGSPDLLE has the potential as a multitarget inhibitor of tyrosinase (-9.07 kcal/mol), hyaluronidase (-10.57 kcal/mol), elastase (-9.32 kcal/mol), collagenase (-10.57 kcal/mol), and MMP9 (-10.43 kcal/mol). Peptide REGSPDLLE was selected due to its strong binding affinity on the active site of each target protein and exhibits non-toxic, non-allergenic, and good water-soluble as indicated by Support Vector Machine score <0. Molecular dynamics simulations confirmed stable interactions with receptor proteins. Peptide REGSPDLLE was successfully inserted into the recombinant pSB1C3 plasmid, confirmed by virtual electrophoresis with bands at ~2000 bp and ~150 bp. Further in vitro and in vivo studies are necessary to verify the anti-aging efficacy of peptide REGSPDLLE.
Teknologi IMPLEMENTASI RFID UNTUK MENINGKATKAN KEAMANAN PERSONEL TNI AD DI AREA DISPOSAL AMUNISI: Elektronika Resdiawan, Reski; Widiatmoko, Dekki; Maulana, Rafi
Jurnal Elkasista Vol 6 No 1 (2025): Jurnal Elkasista
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/elka.v6i1.614

Abstract

Lokasi penyimpanan amunisi menimbulkan masalah keamanan dan keamanan yang serius bagi Tentara Nasional Indonesia Angkatan Darat TNI AD. Penggunaan teknologi RFID secara strategis di zona berisiko tinggi meningkatkan keamanan dan pemantauan personel. Studi ini mengeksplorasi bagaimana RFID dapat meningkatkan keamanan disposal amunisi TNI AD. Teknologi RFID memungkinkan pelacakan dan identifikasi personel secara real-time, memastikan hanya akses area disposal yang diizinkan. memungkinkan pusat komando untuk melacak pergerakan dan posisi personel secara berkelanjutan. Dokumen ini menyajikan sistem keamanan yang komprehensif yang mengurangi akses masuk yang tidak diinginkan, kecelakaan, dan kerugian manusia di daerah berbahaya dengan menggabungkan berbagai teknologi. Teknik penelitian memeriksa desain sistem, masalah implementasi, dan manfaat keamanan RFID. Temuan ini menunjukkan bahwa teknologi RFID meningkatkan keamanan dan efisiensi personel disposal amunisi TNI AD. Jurnal ini merekomendasikan kemajuan teknologi dan penggunaan militer. Solusi ini dapat meningkatkan keamanan personel di daerah berisiko tinggi, mendukung tugas TNI AD untuk melindungi keamanan nasional.
Analisis Tindak Tutur Direktif Dalam Pidato Calon Presiden Anies Baswedan 7 Mei 2023 Maulana, Rafi; Hayati, Yenni
Jurnal Pendidikan Tambusai Vol. 9 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i1.26511

Abstract

Penelitian ini bertujuan untuk menganalisis jenis tindak tutur direktif dalam pidato calon presiden Anies Baswedan 7 Mei 2023. Jenis penelitian ini adalah penelitian kualitatif. Metode yang dilakukan dalam penelitian ini adalah metode penelitian deskriptif. Sumber data dalam penelitian ini bersumber dari pidato calon presiden Anies Baswedan 7 Mei 2023. Analisis data penelitian ini dilakukan dengan teknik baca tulis yaitu dengan cara membaca dan menganalisis tindak tutur yang terdapat dalam pidato calon presiden Anies Baswedan 7 Mei 2023. Berdasarkan penelitian yang telah dilakukan dapat disimpulkan bahwa dalam pidato calon presiden Anies Baswedan 7 Mei 2023 ditemukan sebanyak 38 tuturan dengan 6 jenis tindak tutur direktif yaitu, (1) kelompok permintaan dengan jumlah 7 tuturan dengan frekuensi 18%, (2) kelompok pertanyaan dengan jumlah 3 tuturan dengan frekuensi 8%, (3) kelompok perintah dengan jumlah 7 dengan frekuensi 18%, (4) kelompok larangan dengan jumlah 6 tuturan dengan frekuensi 16% , (5) kelompok pemberian izin dengan jumlah 8 tuturan dengan frekuensi 21%, dan (6) kelompok nasihat dengan jumlah 7 tuturan dengan frekuensi 18%. Kelompok tuturan yang paling dominan yaitu pada tindak tutur direktif pemberian izin sebanyak 8 tuturan dengan jumlah frekuensi 21%.
Pengaruh Slack Resources, Dewan Komisaris, dan Ukuran Perusahaan terhadap Pengungkapan Tanggung Jawab Sosial Perusahaan : (Studi Kasus pada Perusahaan BUMN Periode 2018–2022) Maulana, Rafi
Indonesian Journal of Auditing and Accounting Vol 2 No 2 (2025): Juli 2025
Publisher : IAPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71188/ijaa.v2i2.139

Abstract

Pengungkapan corporate social responsibility (CSR) merupakan sebuah wujud dari kepedulian yang dilaksanakan oleh perusahaan pada masyarakat sekitar meliputi seluruh wujud dampak atas segala aktivitas perusahaan. Corporate Social Responsibility Index (CSRDI) dipakai pada pengukuran pengungkapan CSR laporannya pada sustainability report. Tujuan penelitian ini guna mengetahui dampak slack resources, dewan komisaris, skala perusahaan pada pengungkapan CSR di perusahaan BUMN periode 2018–2022. Metode yang dipergunakan di penelitian ini yaitu kuantitatif jenis data sekunder yang memakai software E-views 12 untuk melakukan uji hipotesis penelitian. Statistik deskriptif dan regresi data panel dipergunakan untuk analisis dalam penelitian. Temuan penelitian memperlihatkan apabila slack resources, dewan komisaris, serta skala perusahaan berdampak secara simultan pada pengungkapan corporate social responsibility. Secara parsial variabel dewan komisaris serta ukuran perusahaan berdampak positif terhadap pengungkapan CSR, sedangkan variabel slack resources tidak berpengaruh pada pengungkapan CSR. Kontribusi pada penelitian ini yakni dewan komisaris serta ukuran perusahaan secara positif menjadi faktor penentu pengungkapan CSR di perusahaan BUMN.
The Effect of Jigsaw Type Cooperative Learning Model Assisted By Mind Mapping Media and Environmental Vocabulary Mastery on Narrative Text Writing Skills of Class IX SMP Negeri 2 Batang Anai Students Maulana, Rafi; Yenni Hayati
Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Vol. 11 No. 2 (2025)
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/onoma.v11i2.5786

Abstract

The purpose of this study was to describe the effect of the jigsaw type cooperative learning model assisted by mind mapping media on short story writing skills, the effect of the Jigsaw type cooperative learning model on short story writing skills of students who have high and low environmental vocabulary mastery. This type of research is quantitative research with experimental method. The research design used is nonequivalent control group design. The population of this study were ninth grade students of SMP Negeri 2 Batang Anai in the 2024/2025 school year. The instruments of this research are objective tests of environmental vocabulary mastery and performance tests of short story text writing skills. Based on the data analysis and discussion above, it can be concluded as follows. First, there is a difference in the results of the performance test of short story writing skills of grade IX students of SMP Negeri 2 Batang Anai using the jigsaw model assisted by mind mapping media with an average of 80.24 and the results of the performance test of short story writing skills using the conventional model with an average of 64.05. Second, there is a difference in the results of the short story writing skills performance test of grade IX students of SMP Negeri 2 Batang Anai with high environmental vocabulary mastery using the jigsaw model assisted by mind mapping media which obtained an average of 88.89 very good qualification (BS) with the results of the short story writing skills performance test of students with high environmental vocabulary mastery using the conventional model which obtained an average of 69.63 more than sufficient qualification (LdC) Third, there is a difference in the results of the short story writing skills performance test of grade IX students of SMP Negeri 2 Batang Anai with low environmental vocabulary mastery using the jigsaw model assisted by mind mapping media which obtained an average of 79.26 good qualification (B) with the results of the short story writing skills performance test of students with low environmental vocabulary mastery using the conventional model which obtained an average of 57.04.
Potensi Flavonoid Bahan Alam Sebagai Anti-HIV Guna Mengatasi Darurat Infeksi HIV di Indonesia Azriz, Helena; Ibrahim, Raihan Syah; Maulana, Rafi; Rita, Rauza Sukma
SCRIPTA SCORE Scientific Medical Journal Vol. 5 No. 2 (2024): SCRIPTA SCORE Scientific Medical Journal
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/scripta.v5i2.14678

Abstract

Background: Human Immunodeficiency Virus (HIV) infection is an unresolved health problem in various countries. Indonesia is rich in various potential natural resources and is able to support the development of HIV therapy through the use of bioactive components from plants, one of which is flavonoid compounds which need to be investigated for their potential anti-HIV activity. Objective: To determine the anti-HIV potential of natural compound flavonoids. Method: The method used is a narrative literature review, with literature collection obtained from PubMed, ScienceDirect and Google Scholar. The selected articles are those published in the last ten years (2013-2022) and full text is available. Result and Discussion: 24 articles included related to flavonoid and HIV. Indonesia is in an emergency situation for HIV infection, antiretroviral drugs (ARV) can only inhibit the development of the virus, but do not kill the virus directly. The antiviral potential of flavonoid compounds makes this substance an opportunity to be studied in HIV infection. The flavonoid subclasses myricetin, herbacitrin, and chalcone have the best anti-HIV activity. The natural ingredient that has the highest flavonoid such as sea fern spores, dragon fruit with a content of 0.14 - 0.15 mg/g, Moringa leaves with a content of 7.79 mg/g, and cinnamon with a fairly high content. Conclusion: Flavonoids have anti-HIV potential with different mechanisms according to the type of flavonoid compounds contained. Flavonoids are mostly contained in sea fern spores, and are also found in dragon fruit, cinnamon and Moringa leaves, which are natural ingredients that are easily available every day.   Latar Belakang: Infeksi Human Immunodeficiency Virus (HIV) merupakan masalah kesehatan yang belum terselesaikan pada berbagai negara di dunia. Indonesia merupakan negara yang kaya akan berbagai sumber daya alam yang potensial dan mampu mendukung pengembangan terapi HIV melalui pemanfaatan komponen bioaktif dari tumbuhan, salah satunya adalah senyawa flavonoid yang perlu ditelitipotensi aktivitas anti-HIVnya. Tujuan: Mengetahui potensi anti-HIV dari senyawa flavonoid bahan alam Metode: Metode yang digunakan adalah tinjauan literatur naratif, dengan pengumpulan literatur dilakukan melalui database PubMed, ScienceDirect, dan Google Scholar. Artikel yang dipilih adalah yang terbit sepuluh tahun terakhir (2013-2022) dan tersedia full text. Pembahasan: 24 artikel didapatkan membahas flavonoid dan kaitannya pada HIV. Indonesia berada dalam kondisi darurat infeksi HIV, obat antiretroviral (ARV) hanya dapat menghambat perkembangan virus, namun tidak membunuh virus secara langsung. Adanya potensi antivirus dari senyawa flavonoid menjadikan zat ini berpeluang untuk diteliti pada penyakit infeksi HIV. Flavonoid subkelas myricetin, herbacitrin, dan kalkon memiliki aktivitas anti-HIV yang paling baik. Bahan alam yang mempunyai kandungan flavonoid tertinggi di antaranya spora paku laut, buah naga dengan kandungan sebesar 0,14 – 0,15 mg/g, daun kelor dengan kandungan sebesar 7,79 mg/g, dan kayu manis dengan kandungan cukup tinggi. Kesimpulan: Flavonoid memiliki potensi anti-HIV dengan mekanisme yang berbedabeda sesuai dengan jenis senyawa flavonoid yang terkandung. Flavonoid paling banyak terkandung dalam spora paku laut, serta juga ditemukan pada buah naga, kayu manis, dan daun kelor yang merupakan bahan alam yang mudah didapatkan sehari-hari.
A Rancang Bangun Sistem Pengendali Lampu Jalan Otomatis Berbasis Sensor Cahaya dan Mikrokontroler Arduino: Pengendali Lampu Jalan Otomatis Wahyu Imam Fauzi Wibisono; Syafaat, Mokhammad; Kasiyanto; Widiatmoko, Dekki; Maulana, Rafi
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.v18n3.2700

Abstract

Potential of Bioactive Peptides From Blanak Fish (Moolgarda Seheli) as Multitarget Therapy for Non-small Cell Lung Cancer: A Cancer-informatics Study Ramadhana, Reza; Maulana, Rafi; Al Habsy, Muhammab Nandito
JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia Book of Abstrack RCIMS 2025
Publisher : BAPIN-ISMKI (Badan Analisis Pengembangan Ilmiah Nasional - Ikatan Senat Mahasiswa Kedokteran Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53366/jimki.vi.952

Abstract

Non-Small Cell Lung Cancer (NSCLC) is the most common type of lung cancer with a high mortality rate and resistance to conventional therapy. Moolgarda seheli is known to produce bioactive compounds, but its potential against NSCLC still needs to be explored. This study aims to evaluate the pharmacokinetic profile, pharmacodynamics, and potential of M. seheli peptides as a multitarget agent for NSCLC through an in silico approach. Twelve M.seheli peptides were modeled using UCSF Chimera. Pharmacokinetic and pharmacodynamic predictions were performed using SwissADME, ProTox-3.0, and AllerTop. Membrane permeability was evaluated using PerMM. Target protein structures were obtained from PDBJ. Molecular docking was performed with MOE, then validated through molecular dynamics simulation (MD) using YASARA. Plasmid construction was performed in silico using ApE v2.0.36. Pharmacokinetic and pharmacodynamic profiles indicate the AVMAPIVA peptide has favorable distribution, metabolism, and excretion, as well as non-toxic and non-allergenic properties. The AVMAPIVA peptide exhibits strong affinity for CDK4 (-10.75 kcal/mol), BRAF (-11.60 kcal/mol), AKT1 (-10.79 kcal/mol), VEGFR2 (-10.73 kcal/mol), and EGFR (-10.47 kcal/mol). PerMM results indicate good membrane penetration ability. MD simulations confirm the stability of the complex. The results of the study indicate that the AVMAPIVA peptide is non-toxic, non-allergenic, stable in biological environments, and capable of penetrating cell membranes and inhibiting proliferation, migration, and angiogenesis in NSCLC. peptide from M. seheli has potential as a multitarget therapy for NSCLC with a good druglikeness profile. In vitro and in vivo experimental studies are needed for further validation of efficacy and safety.   Keywords: Moolgarda seheli, Multitarget, NSCLC, Peptide-based therapy, Bioinformatics.
Co-Authors Adha, Muhammad Alghifary Afdhal, Fitrah Al Habsy, Muhammab Nandito Azriz, Helena Buana, Gherriandi R. Carmenita, Mutiara A. Cuandra, Kevin N. Dekki Widiatmoko Firjatullah, Muhammad F. Hanifah, Wafiq Hazmi, Auliya A. Hibatullah, Muhammad N. Ibrahim, Filzatuz Z. Ibrahim, Raihan Syah Jamsari Jamsari Kasiyanto Kristaningtyas, Nathania A. Maharani, Annisa D. Mifindra, Rafhy MUHAMMAD TEGUH, MUHAMMAD Nasri, Syahidatul A. Nayu, Balqist K. Prayogi, Norbertus M. Rahman, Awalil RK. Ramadhana, Reza Rasendriya, Daffa Z. Rauza Sukma Rita Resdiawan, Reski Rita, Rauza S. Syafaat, Mokhammad Tristan, Christopher D. Wahyu Imam Fauzi Wibisono Wahyudi, Dhyani P. Widiatmoko, Dekki Yahono, Angela S. Yenni Hayati Yenni Hayati Yenny, Satya W.