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All Journal INDONESIAN JOURNAL OF APPLIED PHYSICS Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System Jurnal Aplikasi dan Inovasi Iptek (JASINTEK) Jurnal Pengabdian pada Masyarakat Kepulauan Lahan Kering Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Electrician : Jurnal Rekayasa dan Teknologi Elektro Innovative: Journal Of Social Science Research TeknoKreatif: Jurnal Pengabdian kepada Masyarakat Greensusmater Journal of Batteries for Renewable Energy and Electric Vehicles Indonesian Actuarial Journal
Septia Eka Marsha Putra
Department Of Engineering Physics, Faculty Of Industrial Technology, Institut Teknologi Sumatera, Jalan Terusan Ryacudu, Way Hui, Jati Agung, South Lampung 35365, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Veterinary Other

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Mesin Ekstrusi Filamen 3D Printer Sederhana Sebagai Alternatif Daur Ulang Limbah Botol Plastik dengan Kendali PID Harahap, Al Barra; Khoirunisa, Vera; Putra, Septia Eka Marsha
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 19 No. 2 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v19n2.2798

Abstract

Perspective on Metamaterial of Energy Device Application Habibi, Fathan Akbar Nur; Putra, Septia Eka Marsha
Journal of Batteries for Renewable Energy and Electric Vehicles Vol. 2 No. 01 (2024): MAY 2024
Publisher : NBRI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59046/jbrev.v2i01.21

Abstract

Metamaterials have shown great potential for energy device applications, including energy harvesting, storage, and transmission. However, implementing metamaterials in energy devices presents several challenges, such as complex design and fabrication, narrowband limitation, and integration with existing technologies. Despite these challenges, ongoing research and development in the field of metamaterials is focused on exploring new materials, designs, and applications for metamaterials in energy devices. Specific examples of energy devices that use metamaterials include solar cells, wind turbines, thermal management systems, energy storage systems, wireless power transfer systems, and 3D metamaterials for energy harvesting. The use of metamaterials in energy devices has the potential to revolutionize the energy sector by enabling more efficient and sustainable energy generation, storage, and transmission systems.
Analysis of the Health Social Security Administration (BPJS Kesehatan) Claim Amount using Random Forest Regression Andirasdini, Indah Gumala; Saputra, Desta; Rivai, Muklas; Putra, Septia Eka Marsha
Indonesian Actuarial Journal Vol. 1 No. 1 (2025): Indonesian Actuarial Journal
Publisher : Persatuan Aktuaris Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65689/iajvol01no1pp001-008

Abstract

Claims paid by hospitals need to be identified to verify the accuracy of health services, maintain service quality, and optimize services provided to the Health Social Security Administration (BPJS Kesehatan) participants. This aligns with the third goal of the Sustainable Development Goals (SDGs), which is to ensure healthy lives and promote well-being for all ages, particularly in the context of universal health coverage. The difference in tariffs set by BPJS Kesehatan (INA-CBGs) compared to the amount paid by hospitals has led to a problem that can harm health facilities, such as delayed claim payments. This study aims to analyze the amount of claims paid by a regional hospital to BPJS Kesehatan participants using machine learning with the Random Forest Regression method. Based on this modeling, it was found that the severity of patients, length of stay, and type of illness are the most significant factors in determining the amount of claims. This study has an accuracy value of 81.89%, an adjusted R-square value of 80.4%, and a Mean Absolute Percentage Error (MAPE) of 18.11% in estimating the amount of claims.
DISEMINASI TEKNOLOGI IOT UNTUK PEMANTAUAN KONSUMSI DAYA LISTRIK DI SMA NEGERI 2 METRO SEBAGAI UPAYA EFISIENSI ENERGI Hasugian, Friska; Mege, Christio Revano; Khoirunisa, Vera; Putra, Septia Eka Marsha; Siregar, Sefrani IG; Suaif, Ahmad; Simatupang, Jodes Parasian
Jurnal Pengabdian pada Masyarakat Kepulauan Lahan Kering Vol. 6 No. 2 (2025): Volume 6 Nomor 2 Edisi Oktober 2025
Publisher : Pergizi Pangan DPD NTT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51556/jpkmkelaker.v6i2.534

Abstract

Peningkatan konsumsi energi listrik di lingkungan institusi pendidikan sering kali tidak terkontrol akibat kurangnya sistem pemantauan yang akurat, termasuk di SMA Negeri 2 Metro. Masalah utama yang dihadapi adalah keterbatasan pemahaman warga sekolah mengenai teknologi manajemen energi, yang berdampak pada ketidakefisienan penggunaan daya dan tingginya biaya operasional. Pengabdian kepada Masyarakat (PKM) ini bertujuan untuk mendiseminasi teori serta praktik pemantauan konsumsi daya listrik berbasis Internet of Things (IoT) sebagai solusi cerdas manajemen energi. Metodologi yang digunakan meliputi tahap persiapan perangkat, pemaparan materi teoretis, dan pendampingan praktik langsung (hands-on) dalam merakit sistem sensor arus berbasis ESP32 yang terintegrasi dengan platform MIT APP Inventor. Keberhasilan kegiatan ini diukur melalui analisis statistik pre-test dan post-test serta lembar observasi aktivitas siswa. Hasil pengabdian menunjukkan adanya peningkatan signifikan pada aspek kognitif peserta dengan kenaikan nilai rata-rata sebesar 80,7%. Selain itu, hasil observasi menunjukkan bahwa 86% siswa telah mampu merancang dan mengoperasikan sistem pemantauan listrik berbasis IoT secara mandiri. Kesimpulannya, kegiatan ini efektif dalam meningkatkan literasi teknologi dan mengubah perilaku penggunaan energi menjadi lebih terukur. Hasil ini sangat penting sebagai langkah awal transformasi SMA Negeri 2 Metro menuju smart school yang mengedepankan efisiensi energi berkelanjutan berbasis data digital.
Pengembangan Sistem Pemantauan Kualitas Air Akuakultur Berbasis IoT Menggunakan Logika Fuzzy Mamdani Siregar, Sefrani IG; Handani, Hesti Wahyu; Mege, Christio Revano; Drantantiyas, Nike Dwi Grevika; Putra, Septia Eka Marsha; Suaif, Ahmad; Ginting, Listra Yehezkiel; Mustaqim, Amrina; Hasugian, Friska; Afdi, Rozi
Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer) Vol 6 No 2 (2026): Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitekt
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakadata.v6i2.1855

Abstract

Industri akuakultur membutuhkan manajemen lingkungan yang tepat untuk memastikan kesehatan biota perairan. Metode pemantauan konvensional seringkali mengalami keterlambatan pengambilan sampel manual, yang menyebabkan mitigasi perubahan lingkungan yang terlambat. Penelitian ini bertujuan untuk mengembangkan sistem pemantauan kualitas air berbasis Internet of Things (IoT) untuk aplikasi akuakultur. Sistem ini mengintegrasikan sensor pH, Total Dissolved Solids (TDS), dan kekeruhan dengan mikrokontroler, yang terhubung ke aplikasi seluler yang dirancang melalui MIT App Inventor. Pengujian hasil kalibrasi tiga sensor pada 30 sampel menunjukkan akurasi >90%. Proses pengujian defuzzifikasi pada 12 aturan mendapatkan MAPE 0,33%. Hasil eksperimen menunjukkan bahwa sistem secara akurat mengukur dan mengirimkan parameter, seperti kekeruhan 46 NTU, TDS 174 ppm, dan pH 7,67, menghasilkan klasifikasi kualitas "Baik" secara otomatis. Uji kinerja menunjukkan efisiensi tinggi dengan penundaan transmisi data rata-rata hanya 2 detik. Pengujian pada kolam akuakultur yang dilakukan selama 6 jam menunjukkan bahwa system mampu membaca dan memberikan Kesimpulan kualitas air secara akurat sesuai dengan aturan fuzzy yang dibuat. Kesimpulannya, sistem IoT ini menyediakan solusi yang andal dan hemat biaya untuk pemantauan jarak jauh, secara signifikan mengurangi risiko pengamatan manual sekaligus meningkatkan produktivitas dan keberlanjutan pengelolaan akuakultur melalui transformasi digital.
Density Functional Theory (DFT) and Quasi Harmonic Approximation (QHA) on Isotope effect of Methane Absorbed on Ag(111) Surface Septia Eka Marsha Putra; Indah Gumala Andirasdini
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 1 (2024): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i1.71754

Abstract

We investigated the isotope effect of methane (CH4) on Ag(111) using van der Waals density functional and the quasi-harmonic approximation.In this study, we combined two methods to investigate the nuclear quantum effect in methane adsorption on an Ag(111) surface. We obtained that the adsorption potential energies of CD4on fcc Ag(111) surfaces are shallower than those of CH4, whereas the equilibrium distances from the surface are larger.The similiar finding also observed in our previous study, however, Ag(111) gives smaller energies.It is found that the similar softening of the C-H bond pointing toward the surface is the cause of the isotope effect. This softening leading to lowering the vibrational frequency and large zero-point energy difference between CH4and CD4. 
Co-Authors Afdi, Rozi Aflaha, Rizky Akmal, Daffa Hadyan Amrina Mustaqim Anisa Fitri Brilianto, Maharesi Chalida Syari Christio Revano Mege Drantantiyas, Nike Dwi Grevika Ferizandi Qauzar Gani Friska Hasugian Gani, Ferizandi Qausar Ghaniya, Ega Abdillah Ginting, Listra Yehezkiel Habibi, Fathan Akbar Nur Handani, Hesti Wahyu Hanifah, Istiara Rizqillah Harahap, Al Barra Indah Gumala Andirasdini Khoirunisa, Vera Khoirunnisa, Vera Khourinisa, Vera Lumbanraja, Febriwan Rizki Mustaqim, Amrinia Nulhakim, Lukman Prasetya, Bayu Rahmadi, Nanda Julistio Rivai, Muklas Saputra, Desta Sefrani IG Siregar Sianturi, Petrus Ferdinand Silaban, Riris Simanullang, Astuti BP Simatupang, Daniel Hasiholan Simatupang, Jodes Parasian Stevy Canny Louhenapessy Suaif, ahmad Sugara, Farhan Zulbadri, Muhammad Dzaki Adlil