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<![CDATA[Karakteristik Pasta TiO2 Suhu Rendah dan Aplikasi Light Scattering Layaer Pada Dye Sensitized Solar Cell (DSSC) ]]>
<![CDATA[Qibtiya, Mariya Al]]>;
<![CDATA[Muliani, Lia]]>;
<![CDATA[Suhandi, Andi]]>;
<![CDATA[Hidayat, J.]]>
<![CDATA[ ISSN ]]>
Publisher : <![CDATA[Jurusan Pendidikan Fisika ]]>
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<![CDATA[Tulisan ini menjelaskan aplikasi pasta TiO2 reflektor (atau elektroda kerja dengan light scattering layer) pada sel surya berbasis dye-sensitized  (DSSC). Preparasi pasta dilakukan menggunakan bahan komersial yaitu pasta T-Nanooxide D-L (Solaronix) dan serbuk pasta WER2-O (Dyesiol) sebagai bahan reflektor. Bahan tersebut dianalisis struktur kristalnya. Hasil karakterisasi X-Ray Diffraction (XRD) menunjukan bahwa bahan TiO2 serbuk yang digunakan adalah nanokristal dengan struktur kristal anatase. Pembuatan pasta dilakukan melalui pencampuran serbuk pasta menggunakan pelarut ethanol dan larutan HCl tanpa binder. Penambahan TiO2 reflektor sebagai light scattering layer pada pasta dilakukan untuk melihat pengaruhnya terhadap karakteristik sel surya yang dihasilkan. Pasta ini dideposisi di atas permukaan plastik dan kaca konduktif (ITO-PET dan FTO) dengan metode doctor blade. Proses sintering lapisan TiO2 dilakukan pada suhu 120ËC selama 4 jam. Lapisan TiO2 yang terbentuk dianalisis morfologi permukaan menggunakan Scanning Electron Microscopy (SEM). Hasil SEM menunjukan bahwa dengan penambahan TiO2 scattering pada pasta ukuran partikel yang lebih besar dapat teramati. Lapisan TiO2 yang terbentuk diaplikasikan pada DSSC sebagai fotoelektroda. Pewarnaan dengan larutan N-719 (Ruthenium Complex), lapisan elektroda kerja Platina dan larutan elektrolit iodine. Karakteristik kurva I-V dengan ukuran sel daerah aktif 1 cm2 diukur menggunakan sun simulator AM1,5 dengan sumber cahaya Xenon dan intensitas 50 mW/cm2. Hasil pengukuran menunjukkan penambahan serbuk TiO2 reflektor (serbuk scattering) dapat meningkatkan unjuk kerja sel surya yang dihasilkan. Karakteristik I-V yang terbaik dihasilkan oleh DSSC campuran pasta Solaronix dan bubuk TiO2 reflektor menghasilkan efisiensi mencapai 0.166% dan pada substrat kaca mencapai efisiensi 0.167%.Kata kunci: dye sensitized solar cell, Pasta TiO2  suhu rendah, light scattering layer Characterization of Low Temperature TiO2 Paste and Their Applications in Light Scattering Layer of Dye Sensitized Solar Cell (DSSC)This paper describes the application of TiO2 paste reflector (or working electrode with a light scattering layer) in dye - sensitized solar cell (DSSC) . Preparation of paste is done using commercial materials T - Nanooxide DL (Solaronix) and WER2 - O powder (Dyesiol) as a reflector. The crystal structure of the material was analyzed. Characterization of X - Ray Diffraction (XRD) showed that the material used is TiO2 nanocrystal powders with anatase crystalline structure. Making pasta is done by mixing the powder paste using ethanol solvent and HCl solution without binders. The addition of TiO2 reflector as light scattering layer on the pasta is done to see its effect on the characteristics of the resulting solar cell. This paste is deposited on the surface of the plastic and conductive glass (ITO - PET and FTO) by the doctor blade method. TiO2 layer sintering process carried out at a temperature of 120 Ë C for 4 hours. TiO2 layer formed surface morphology was analyzed using Scanning Electron Microscopy (SEM). SEM results showed that the addition of TiO2 paste scattering at larger particle sizes can be observed. TiO2 layer formed as photo-electrode applied in DSSC. Staining with a solution of N - 719 (Ruthenium Complex), a layer of platinum working electrode and electrolyte solution iodine. Characteristic IV curve with a cell size of 1 cm2 active area was measured using a sun simulator AM1, 5 with Xenon light source and intensity of 50 mW/cm2. The measurement results show the addition of TiO2 reflector powder (powder scattering) can improve the performance of solar cells are produced. IV characteristics of DSSC are best produced by a mixture of paste and powder TiO2 Solaronix generate efficiency reflectors reach 0.166 % on plastics and 0.167% on glass substrate.Keywords: dye sensitized solar cell, low temperature TiO2 paste, light scattering layer]]>
<![CDATA[Hybrid Machine Learning Model untuk memprediksi Penyakit Jantung dengan Metode Logistic Regression dan Random Forest ]]>
<![CDATA[Silmi Ath Thahirah Al Azhima]]>;
<![CDATA[Dwicky Darmawan]]>;
<![CDATA[Nurul Fahmi Arief Hakim]]>;
<![CDATA[Iwan Kustiawan]]>;
<![CDATA[Mariya Al Qibtiya]]>;
<![CDATA[Nendi Suhendi Syafei]]>
<![CDATA[ Jurnal Teknologi Terpadu Vol. 8 No. 1: July, 2022 ]]>
Publisher : <![CDATA[LPPM STT Terpadu Nurul Fikri ]]>
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DOI: 10.54914/jtt.v8i1.539
<![CDATA[The heart is the main organ that must work properly and regularly. If there is interference, it will be fatal, namely the onset of a heart attack. Heart attack is included in the 10 diseases with a high risk of death. This is caused by stress factors, blood pressure, excessive work, blood sugar, and others. The purpose of this study is to predict heart disease using Machine Learning (ML) algorithms as an early preventive measure on desktop-based information systems. With Machine Learning models, the hybrid model can increase the accuracy value of an ML method that is added to other ML methods. The accuracy value obtained from the Hybrid Model Machine Learning using the Random Forest and Logistic Regression methods is 84.48%, which is an increase of 1.32%. ]]>
<![CDATA[Microsoft Office Spesialist, Met PELATIHAN MICROSOFT OFFICE SPECIALIST (MOS) POWER POINT DALAM UPAYA PENINGKATAN KOMPETENSI GURU SMK PADA ERA DISRUPSI INDUSTRI 4.0 ]]>
<![CDATA[Resa Pramudita]]>;
<![CDATA[Roer Eka Pawinanto]]>;
<![CDATA[Muhammad Adli Rizqulloh]]>;
<![CDATA[Nurul Fahmi Arief Hakiem]]>;
<![CDATA[Mariya Al Qibtiya]]>;
<![CDATA[Silmi Ath Thahirah Al Azhima]]>
<![CDATA[ Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 8 No. 3 (2022) ]]>
Publisher : <![CDATA[Universitas Widyatama ]]>
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DOI: 10.33197/jitter.vol8.iss3.2022.910
<![CDATA[Era disrupsi Industri membawa banyak pengaruh dalam kehidupan manusia, hal ini juga yang mempengaruhi dunia pendidikan, Salah satu cara meningkatkan kompetensi guru di era revolusi industry 4.0 ini adalah membekali guru dengan kemampuan skala global yaitu Microsoft Office Specialist atau MOS. Dari permasalahan tersebut kami berinisiatif untuk mengadakan Kegiatan pelatihan Microsoft Office Specialist (MOS) Power Point bagi guru SMK/SMA di kota Bandung. Pelatihan ini mengadaptasi model pelatihan Goad, yaitu Model ini terdiri atas beberapa siklus diantaranya adalah: (1) analisis kebutuhan pelatihan; (2)desain pendekatan pelatihan; (3) pengembangan materi pelatihan; (4) pelaksanaan pelatihan; (5) evaluasi dan pemutakhiran pelatihan.]]>
<![CDATA[PELATIHAN MICROSOFT OFFICE SPECIALIST (MOS) POWER POINT SEBAGAI MEDIA PEMBELAJARAN UNTUK GURU SMKN 1 CISARUA DALAM ERA INDUSTRI 4.0 ]]>
<![CDATA[Mariya Al Qibtiya]]>;
<![CDATA[Dadang Lukman Hakim]]>;
<![CDATA[Bambang Trisno]]>;
<![CDATA[Budi Mulyanti]]>;
<![CDATA[Yadi Mulyadi]]>;
<![CDATA[Tuti Suartini]]>;
<![CDATA[Elih Mulyana]]>;
<![CDATA[Wawan Purnama]]>;
<![CDATA[Aip Saripudin]]>;
<![CDATA[Silmi At Thahirah Al Azhima]]>;
<![CDATA[Roer Eka Pawinanto]]>;
<![CDATA[Nurhidayatulloh Nurhidayatulloh]]>
<![CDATA[ Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 9 No. 1 (2022) ]]>
Publisher : <![CDATA[Universitas Widyatama ]]>
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DOI: 10.33197/jitter.vol9.iss1.2022.957
<![CDATA[The era of industrial disruption has had many influences on human life, this has also affected the world of education. One way to improve teacher competence in the industrial revolution 4.0 era is to equip teachers with global scale capabilities, namely Microsoft Office Specialists or MOS. From these problems, our training took the initiative to hold Microsoft Office Specialist (MOS) Power Point Activities for vocational/high school teachers in the city of Bandung. This training adapts the Goad training model, namely this model consists of several cycles including: (1) training needs analysis; (2) training approach design; (3) development of training materials; (4) implementation of training; (5) evaluation and updating of training.]]>
<![CDATA[Cumulative error correction of inertial navigation systems using LIDAR sensors and extended Kalman filter ]]>
<![CDATA[Silmi Ath Thahirah Al Azhima]]>;
<![CDATA[Dadang Lukman Hakim]]>;
<![CDATA[Robby Ikhfa Nulfatwa]]>;
<![CDATA[Nurul Fahmi Arief Hakim]]>;
<![CDATA[Mariya Al Qibtiya]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 2: May 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v34.i2.pp878-887
<![CDATA[Autonomous robots have gained significant attention in research due to their ability to facilitate human work. Navigation systems, particularly localization, present a challenge in autonomous robots. The inertial navigation system is a localization system that uses inertial sensors and a wheel odometer to estimate the robot’s relative position to the initial position. However, the system is susceptible to continuous error accumulation over time due to factors like sensor noise and wheel slip. To address these issues, external sensors are required to measure the robot’s position in the environment. The extended Kalman filter (EKF) method is utilized to estimate the robot’s position based on wheel odometer and light detection and ranging (LIDAR) sensor measurements. In the prediction stage, the input to the EKF is the position measurement from the wheel odometer, while the LIDAR sensor’s position measurement is used in the update stage to improve the prediction stage results. The test results reveal that the EKF’s estimated position has a lower average error compared to the position measurement using the wheel odometer. Therefore, it can be concluded that the EKF technique is effectively applied to the robot and can correct the wheel odometer's cumulative error with the assistance of the LIDAR sensor.]]>
<![CDATA[Hybrid Machine Learning Model untuk memprediksi Penyakit Jantung dengan Metode Logistic Regression dan Random Forest ]]>
Al Azhima, Silmi Ath Thahirah;
<![CDATA[Darmawan, Dwicky]]>;
<![CDATA[Arief Hakim, Nurul Fahmi]]>;
<![CDATA[Kustiawan, Iwan]]>;
<![CDATA[Al Qibtiya, Mariya]]>;
<![CDATA[Syafei, Nendi Suhendi]]>
<![CDATA[ Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 2022 ]]>
Publisher : <![CDATA[LPPM STT Terpadu Nurul Fikri ]]>
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DOI: 10.54914/jtt.v8i1.539
<![CDATA[The heart is the main organ that must work properly and regularly. If there is interference, it will be fatal, namely the onset of a heart attack. Heart attack is included in the 10 diseases with a high risk of death. This is caused by stress factors, blood pressure, excessive work, blood sugar, and others. The purpose of this study is to predict heart disease using Machine Learning (ML) algorithms as an early preventive measure on desktop-based information systems. With Machine Learning models, the hybrid model can increase the accuracy value of an ML method that is added to other ML methods. The accuracy value obtained from the Hybrid Model Machine Learning using the Random Forest and Logistic Regression methods is 84.48%, which is an increase of 1.32%. Â ]]>
<![CDATA[Micropower design of energy harvesting based on piezoelectric transducer array circuit ]]>
<![CDATA[Juanda, Enjang Akmad]]>;
<![CDATA[Hakim, Nurul Fahmi Arief]]>;
<![CDATA[Sarosa, Moechammad]]>;
<![CDATA[Saputra, Dede Irawan]]>;
<![CDATA[Azhima, Silmi Ath Thahirah Al]]>;
<![CDATA[Qibtiya, Mariya Al]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i3.pp1767-1776
<![CDATA[This article reveals the conceptualization and implementation of energy harvesting system that utilize piezoelectric arrays within environments marked by elevated ambient noise levels. The selected methodology involves conducting an empirical study where the system is introduced into a room with pronounced ambient noise. A series configuration is adopted for assembling the piezoelectric sensors. For this particular experiment, 36 piezoelectric sensor units were arranged, each equipped with a voltage doubler circuit, aiming to harness a specific micropower energy threshold. The experimental results validate the successful development of an energy harvesting mechanism employing a piezoelectric array within a noisy setting. Notably, the device functions optimally at a frequency of 250 Hz. Additionally, a series of controlled experimental tests were executed at a sound level of 95.8 dBA to assess the efficacy of the piezoelectric array. Measurements taken at the voltage doubler output reveal that the device achieves its peak output signal at 3.32 Vpp and 50.42 Hz. The maximum attainable direct current (DC) voltage stands at 1 Volt, complemented by a current of 0.45 mA.]]>
<![CDATA[Real-Time Monitoring System for Peatland Fire Potential Based on Internet of Things ]]>
<![CDATA[Nawawi, Imam Khushthon]]>;
<![CDATA[Al Qibtiya, Mariya]]>;
<![CDATA[Al Azhima, Silmi Ath Thahirah]]>;
<![CDATA[Arief Hakim, Nurul Fahmi]]>
<![CDATA[ Journal La Multiapp Vol. 5 No. 4 (2024): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v5i4.1449
<![CDATA[This research aims to develop a real-time monitoring system for peatland fire potential based on the Internet of Things (IoT) with a focus on early detection of potential peatland fires. The main problem to be solved is the lack of an effective system in the early detection of potential peatland fires, which can cause serious environmental impacts. The method used involves the use of air temperature, air humidity, soil moisture, and fire detection sensors integrated with alarm-based alerts. Data collection is done in real-time to provide a deeper understanding of peatland conditions and potential fire risks. The research results show that the developed system is capable of providing accurate and fast information related to peatland conditions, thus helping to prevent and reduce the impact of peatland fires. With this system, it is expected to increase efficiency in early fire detection and minimize the losses caused by peatland fires.]]>
<![CDATA[Perancangan Pemasangan Penerangan Jalan Umum Bagi Masyarakat Desa Cikalong Wetan Bandung Barat ]]>
<![CDATA[Al Qibtiya, Mariya]]>;
<![CDATA[Pramudita, Resa]]>;
<![CDATA[Fauzan, Mochamad Rizal]]>;
<![CDATA[Saputra, Wasimudin Surya]]>;
<![CDATA[Saripudin, Saripudin]]>
<![CDATA[ BANTENESE : JURNAL PENGABDIAN MASYARAKAT Vol. 6 No. 2 (2024): Bantenese: Jurnal Pengabdian Masyarakat ]]>
Publisher : <![CDATA[Pusat Studi Sosial dan Pengabdian Masyarakat Fisipkum Universitas Serang Raya ]]>
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DOI: 10.30656/m848d559
<![CDATA[Perancangan pemasangan penerangan jalan umum di Desa Cikalong Wetan, Bandung Barat, bertujuan untuk meningkatkan keselamatan, kenyamanan, dan kualitas hidup masyarakat melalui penyediaan infrastruktur penerangan yang efisien dan berkelanjutan. Kegiatan ini meliputi analisis kebutuhan penerangan berdasarkan kondisi lokal, desain instalasi dengan pendekatan teknologi hemat energi, dan simulasi untuk memverifikasi efisiensi serta keandalan sistem. Melalui pendekatan partisipatif, masyarakat dilibatkan dalam perencanaan dan pemasangan guna meningkatkan pemahaman teknis serta rasa kepemilikan terhadap fasilitas yang dibangun. Evaluasi hasil menunjukkan respons positif dari masyarakat, yang merasakan manfaat langsung berupa peningkatan visibilitas jalan dan penurunan risiko kecelakaan. Program ini diharapkan dapat memberikan dampak jangka panjang terhadap peningkatan infrastruktur dan kualitas hidup masyarakat di Desa Cikalong Wetan.]]>
<![CDATA[Medication box management system with automatic dosing integrated with IoT-based Android app and Firebase ]]>
<![CDATA[Nurhakim, Raihan]]>;
<![CDATA[Ath Thahirah Al Azhima, Silmi]]>;
<![CDATA[Fahmi Arief Hakim, Nurul]]>;
<![CDATA[Al Qibtiya, Mariya]]>;
<![CDATA[Maulana, Luthfi]]>;
<![CDATA[Rohman, Saepul]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v14i2.8470
<![CDATA[Utilizing Firebase technology and an Android internet of things (IoT) application, the research endeavors to create a smart medicine box in order to enhance the efficacy of automated drug management. Hardware implementation, software implementation, and 3D design planning for automatic dosage adjustment are the methods utilized. The results prove that the application effectively controls the dosage, evacuation schedule, and quantity of the medication based on the user’s input. Boundary value analysis (BVA) black box testing demonstrated that every feature of the application functions as intended. Furthermore, the efficacy of drug production testing indicates that the smart medicine box exhibits a notable level of precision, albeit with a limited number of inaccuracies that could be rectifiable through additional parameter and mechanism optimizations within the drug box. Consequently, the investigation has effectively produced an automated drug management system that has the potential to enhance drug use supervision and safety, particularly for elderly services individuals residing alone.]]>
