Garuda - Garba Rujukan Digital

A Low Cost C8051F006 SoC-Based Quasi-Static C-V Meter for Characterizing Semiconductor Devices Endah Rahmawati; Riska Ekawita; Maman Budiman; Mikrajuddin Abdullah; Khairurrijal Khairurrijal
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 10, No 4: December 2012
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v10i4.862

Based on a C8051F006 SoC (system on-a-chip), a simple and low cost quasi-static capacitance-voltage (C-V) meter was designed and developed to obtain C-V characteristics of semiconductor devices. The developed C-V meter consists of a capacitance meter, a programmable voltage source, a C8051F006 SoC-based slave controller, and a personal computer (PC) as a master controller. The communication between the master and slave controllers is facilitated by the RS 232 serial communication. The accuracy of the C-V meter was guaranteed by the calibration functions, which are employed by the program in the PC and obtained through the calibration processes of analog to digital converter (ADC), digital to analog converters (DACs) of the C8051F006 SoC, and the programmable voltage source. Examining 33-pF and 1000-pF capacitors as well three different p-n junction diodes, it was found that the capacitances of common capacitors are in the range of specified values and typical C-V curves of p-n junction diodes are achieved.

A Low Cost C8051F006 SoC-Based Quasi-Static C-V Meter for Characterizing Semiconductor Devices Endah Rahmawati; Riska Ekawita; Maman Budiman; Mikrajuddin Abdullah; Khairurrijal Khairurrijal
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

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

Based on a C8051F006 SoC (system on-a-chip), a simple and low cost quasi-static capacitance-voltage (C-V) meter was designed and developed to obtain C-V characteristics of semiconductor devices. The developed C-V meter consists of a capacitance meter, a programmable voltage source, a C8051F006 SoC-based slave controller, and a personal computer (PC) as a master controller. The communication between the master and slave controllers is facilitated by the RS 232 serial communication. The accuracy of the C-V meter was guaranteed by the calibration functions, which are employed by the program in the PC and obtained through the calibration processes of analog to digital converter (ADC), digital to analog converters (DACs) of the C8051F006 SoC, and the programmable voltage source. Examining 33-pF and 1000-pF capacitors as well three different p-n junction diodes, it was found that the capacitances of common capacitors are in the range of specified values and typical C-V curves of p-n junction diodes are achieved. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1182

Pelatihan Pembuatan KIT Energi Alternatif untuk Mendukung Pembelajaran Model PjBL Meta Yantidewi; Imam Sucahyo; Mita Anggaryani; Lydia Rohmawati; Muhammad Habibbulloh; Endah Rahmawati
Madaniya Vol. 4 No. 4 (2023)
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/27214834.676

Guru adalah salah satu pilar pendidikan berkualitas yang berperan penting sebagai fasilitator dan motivator, termasuk juga guru fisika. Sebagai fasilitator dan motivator, tentunya guru fisika harus mampu memfasilitasi dan memotivasi siswa dalam pembelajaran fisika. Pembelajaran fisika dalam Kurikulum Merdeka menuntut para siswa berpikir kritis dan inovatif melalui proses penemuan dengan menggunakan model pembelajaran berbasis proyek (PjBL). Salah satu penerapan model pembelajaran PjBL di mata Pelajaran fisika adalah pada materi energi alternatif. Sayangnya, guru-guru masih kesulitan menerapkannya. Fakta inilah yang mendorong tim PKM Jurusan Fisika FMIPA Universitas Negeri Surabaya mengadakan kegiatan pengabdian berupa pelatihan pembuatan KIT energi alternatif untuk mendukung pembelajaran model PjBL. Kegiatan PKM ini dibagi dalam beberapa tahapan, yakni: identifikasi masalah dan kebutuhan mitra, persiapan PKM, pelaksanaan PKM pelatihan pembuatan KIT Energi Alternatif, dan melakukan evaluasi hasil kegiatan PKM. Sebanyak 22 orang guru fisika yang tergabung dalam MGMP Fisika Kota Surabaya menjadi peserta pelatihan. Kedua puluh dua orang guru tersebut sangat antusias dalam mengikuti kegiatan. Bahkan dari hasil angket respon dengan menggunakan Google Form yang disebar ke peserta nampak bahwa materi pelatihan yang diberikan tergolong baru, sangat menarik, dan inspiratif. Hasil angket juga menunjukkan bahwa materi pelatihan relevan dengan kebutuhan guru di sekolah.

Identifikasi Banjir Rob menggunakan Metode Klasifikasi dengan Model Random Forest dan Decision Tree di Pelabuhan Surabaya Tahun 2021-2023 kiki syalasyatun masfufah -; Kartika Dwi Indra Setyaningrum; Endah Rahmawati; Ady Hermanto
Inovasi Fisika Indonesia Vol. 15 No. 1 (2026): Vol 15 No 1
Publisher : Prodi Fisika FMIPA Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ifi.v15n1.p21-29

Abstrak Banjir rob merupakan salah satu jenis bencana hidrometeorologi yang kerap terjadi di wilayah pesisir, terutama akibat kombinasi antara pasang laut tinggi, fase bulan tertentu, dan curah hujan ekstrem. Penelitian ini bertujuan untuk mengidentifikasi potensi banjir rob di kawasan Pelabuhan Surabaya dengan menggunakan algoritma klasifikasi Random Forest dan Decision Tree. Data yang digunakan meliputi parameter hidrometeorologi seperti fase bulan, pasang surut air laut, dan curah hujan, yang diperoleh dari Stasiun Meteorologi Maritim Tanjung Perak Surabaya. Sebelum dimodelkan, data melalui tahapan pre-processing berupa normalisasi dan pembobotan untuk menyeragamkan skala antar variabel serta menilai tingkat kontribusi masing-masing parameter. Model dikembangkan dengan pembagian data 80% pelatihan dan 20% pengujian. Hasil evaluasi Random Forest menunjukkan akurasi sebesar 99,96% dan Decision Tree sebesar 99,94% dengan tingkat kesalahan yang sangat rendah. Analisis feature importance menunjukkan bahwa fase bulan dan pasang surut merupakan faktor dominan dalam prediksi banjir rob, sedangkan curah hujan memiliki pengaruh minimal. Temuan ini membuktikan bahwa Random Forest merupakan metode yang efektif dan andal untuk klasifikasi banjir rob serta memiliki potensi untuk diimplementasikan dalam sistem peringatan dini. Penelitian ini juga merekomendasikan integrasi data geografis, seperti informasi kerentanan tanah, morfologi wilayah, dan elevasi permukaan untuk meningkatkan akurasi dan generalisasi model di masa mendatang. Abstract Tidal flooding is a type of hydrometeorological disaster that often occurs in coastal areas, mainly due to a combination of high tides, certain lunar phases, and extreme rainfall. This study aims to identify the potential for tidal flooding in the Surabaya Port area using Random Forest and Decision Tree classification algorithms. The data used include hydrometeorological parameters such as lunar phases, tides, and rainfall, obtained from the Tanjung Perak Maritime Meteorology Station in Surabaya. Before being modeled, the data went through pre-processing stages such as normalization and weighting to standardize the scale between variables and assess the level of contribution of each parameter. The model was developed by dividing the data into 80% training and 20% testing. The evaluation results of Random Forest showed an accuracy of 99.96% and Decision Tree at 99.94% with a very low error rate. Feature importance analysis showed that lunar phases and tides are the dominant factors in predicting tidal flooding, while rainfall has a minimal influence. These findings prove that Random Forest is an effective and reliable method for tidal flood classification and has the potential to be implemented in early warning systems. This study also recommends the integration of geographic data, such as soil vulnerability information, regional morphology, and surface elevation to improve the accuracy and generalization of future models.

KALIBRASI SENSOR LDR (GL5528) TERHADAP LED PUTIH DENGAN METODE EKSPONENSIAL DAN LEAST SQUARE UNTUK PENGEMBANGAN ALAT UKUR INTENSITAS CAHAYA vivi15; Fina Hidayati Rofiah; Ahmad Miqdad Ahyarul Umam; Adek Dwi Fani Irawan; Endah Rahmawati
Inovasi Fisika Indonesia Vol. 15 No. 2 (2026): Vol 15 No 2
Publisher : Prodi Fisika FMIPA Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ifi.v15n2.p158-165

Abstrak Intensitas cahaya merupakan besaran penting dalam berbagai sistem kendali dan otomasi berbasis sensor. Salah satu sensor yang sering digunakan untuk mendeteksi cahaya adalah Light Dependent Resistor (LDR) tipe GL5528 karena kepraktisan dan biayanya yang rendah. Agar sensor ini dapat digunakan secara optimal, diperlukan proses kalibrasi untuk menghubungkan perubahan resistansi terhadap variasi intensitas cahaya yang diterima. Kajian ini memodelkan proses kalibrasi LDR terhadap radiasi cahaya LED putih dengan memvariasikan arus input LED, sehingga intensitas yang diterima sensor berubah dan mengakibatkan perubahan resistansi (Rs). Data karakteristik resistansi terhadap lux diambil dari datasheet, kemudian dimodelkan secara komputasional menggunakan bahasa Python dan metode regresi Least Square dengan pendekatan linier dan eksponensial. Hasil pemodelan menunjukkan bahwa model eksponensial lebih sesuai menggambarkan hubungan antara intensitas cahaya dan resistansi LDR. Hasil ini dapat dimanfaatkan untuk mengembangkan alat ukur intensitas cahaya berbasis mikrokontroler secara efisien tanpa perlu pengukuran eksperimental langsung, sehingga mendukung proses desain awal perangkat penginderaan berbasis cahaya. Abstract Light intensity is an important quantity in various sensor-based control and automation systems. One sensor that is often used to detect light is the Light Dependent Resistor (LDR) type GL5528 due to its practicality and low cost. In order for this sensor to be used optimally, a calibration process is needed to relate changes in resistance to variations in the intensity of light received. This research models the LDR calibration process against white LED light radiation by varying the LED input current, so that the intensity received by the sensor changes and results in a change in resistance (Rs). The data of resistance characteristics against lux is taken from the datasheet, then modeled computationally using Python language and Least Square regression method with linear and exponential approaches. The modeling results show that the exponential model better describes the relationship between light intensity and LDR resistance. These results can be utilized to efficiently develop microcontroller-based light intensity measurement devices without the need for direct experimental measurements, thus supporting the initial design process of light-based sensing devices.

Title

Found 5 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 5 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 5 Documents
Search