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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi JFA (Jurnal Fisika dan Aplikasinya) Sewagati
Endah Purwanti
Biomedical Engineering, Faculty Of Science And Technology, Airlangga University, Indonesia
Arts Humanities Computer Science & IT Dentistry Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Physics Public Health Social Sciences Other

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PERANCANGAN APLIKASI IDENTIFIKASI KISTA OVARIUM BERBASIS SISTEM CERDAS Arif, Fadhlin A; Purwanti, Endah; Soelistiono, Soegianto
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 14, No 1, Januari 2016
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v14i1.a507

Abstract

Terjadinya kasus kista ovarium yang tinggi disebabkan oleh kurangnya pengetahuan masyarakat khususnya wanita mengenai kesehatan reproduksi, kurangnya kesadaran untuk memeriksakan kesehatan pribadinya dan sebagian besar dokter kandungan merupakan kaum pria. Oleh karena itu, melalui penelitian ini, dilakukan perancangan aplikasi untuk mengidentifikasi kista ovarium dengan berbasis sistem cerdas, sebagai solusi untuk penderita kista ovarium para wanita yang malu dan tertutup untuk berkonsultasi mengenai kesehatan pribadinya secara langsung. Selain itu, aplikasi ini juga dapat digunakan oleh para dokter sebagai bahan pertimbangan dalam mendiagnosis kista ovarium. Perancangan aplikasi ini dilakukan dalam beberapa tahapan. Tahapan yang dilakukan adalah pengumpulan data untuk basis pengetahuan, pemetaan jalur logika, pembuatan Graphic User Interface (GUI), pembuatan mesin inferensi dengan metode inferensi depth-first search, penentuan bobot dan pengujian sistem untuk mengetahui tingkat akurasi sistem. Output dari aplikasi ini terdiri dari 3 jenis, yaitu kista ovarium jinak, kista ovarium ganas dan bukan kista ovarium. Pengujian aplikasi dilakukan kepada 10 subyek penelitian dan diulang sebanyak 3 kali pada masing-masing subyek penelitian. Penelitian ini menghasilkan aplikasi untuk identifikasi kista ovarium berbasis sistem cerdas dengan tingkat akurasi terbaik sebesar 76,67% dengan jumlah node yang dilalui adalah 100 node.
Desain Sistem Klasifikasi Kelainan Jantung menggunakan Learning Vector Quantization Endah Purwanti; Franky Chandra Satria Arisgraha; Pujiyanto Pujiyanto; Muhammad Arief Bustomi
Jurnal Fisika dan Aplikasinya Vol 9, No 2 (2013)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.44 KB) | DOI: 10.12962/j24604682.v9i2.841

Abstract

Electrocardiograph (ECG atau EKG) merupakan alat diagnosis yang mengukur dan merekam aktifitas listrik jantung. Analisis sinyal EKG sering digunakan untuk mendiagnosis beberapa jenis kelainan jantung. Pada penelitian ini, kami merancang sistem jaringan syaraf tiruan untuk klasifikasi citra elektrikardiogram. Metode pemrosesan citra digunakan untuk ekstraksi fitur citra EKG dan proses klasifikasi menggunakan learning vector quantization. Beberapa data elektrokardiogram digunakan sebagai data pelatihan dan pengujian jaringan klasifikasi. Tiga jenis kelainan jantung dapat dideteksi oleh sistem. Hasil simulasi menunjukkan bahwa akurasi algoritma klasifikasi adalah sebesar 89% yang terdiri dari 9 normal, 4 bradikardi, 8 takikardi dan 7 aritmia.
Light Spectrum Speckle Analysis in Roughness Material Identification by Using Naïve Bayes Classifier Based Equalization Histogram Adaptive Bustomi, Muhammad Arief; Utama, Edwin Widya; Purwanti, Endah
Jurnal Fisika dan Aplikasinya Vol 19, No 3 (2023)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v19i3.18482

Abstract

Speckle imaging is a method that has been used in various fields. This method can be used to analyze the surface roughness of an object. Speckle imaging uses laser light and observes speckle patterns formed from light interference on the surface. The speckle imaging method is very safe and does not require any contact so it is easy to detect the roughness of an object. In this research, two types of sandpaper were used as rough surface objects. Speckle images of the sandpaper surface were created using three laser diodes with different wavelengths, namely 405 nm, 550 nm, and 650 nm. Image processing in this research begins with pre-processing methods, image segmentation, feature extraction, and then the classification process. The feature extraction process uses an Adaptive Histogram. The classification process uses the Naïve Bayes classifier method. Based on the research results, it was found that variations in the wavelength of the light spectrum affect the results of the Adaptive Histogram image features. The accuracy of Naïve Bayes classification increases if the wavelength used in creating the speckle image is shorter. Identification accuracy increased from 92% to 96% due to the use of speckle images resulting from diode laser irradiation from 650 nm to 405 nm.
Penerapan Aplikasi Mobile untuk Edukasi dan Monitoring Proses Kompos: Studi Kasus Desa Karangdiyeng, Mojokerto, Jawa Timur Endah Purwanti; Danar Arifka Rahman; Franky Candra Satria Arisgraha; Fadli Ama; M. Arief Bustomi
Sewagati Vol 10 No 1 (2026)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v10i1.9388

Abstract

Pengelolaan limbah organik rumah tangga menjadi tantangan utama di wilayah dengan kapasitas TPA terbatas. Studi ini mendeskripsikan penerapan aplikasi seluler “Mobile Kompos Unair” sebagai alat bantu edukasi dan monitoring proses pengomposan pada tingkat rumah tangga di Desa Karangdiyeng, Kecamatan Kutorejo, Kabupaten Mojokerto. Intervensi dirancang melalui rangkaian kegiatan sosialisasi, paparan materi dasar kompos (alami vs buatan, bahan layak/tidak layak, langkah operasional, pengendalian bau/kelembapan), simulasi penggunaan aplikasi, serta pendampingan praktik. Evaluasi dilakukan menggunakan pre–post test (15 butir) dan kuesioner umpan balik berbasis Likert pada delapan indikator pelaksanaan. Hasil menunjukkan peningkatan pengetahuan yang signifikan: rata-rata skor naik 19,11 poin (dari 75,56 menjadi 94,67), dengan 14 dari 15 peserta mengalami kenaikan; perbaikan terbesar tampak pada pemahaman definisi kompos, pemilahan bahan, dan indikator kematangan. Umpan balik peserta didominasi penilaian baik–sangat baik untuk aspek fasilitas, layanan, kualitas materi, pengaturan waktu, pemilihan waktu, dan publikasi, yang mengindikasikan kesesuaian pendekatan dan materi. Luaran mencakup soft product (aplikasi mobile dengan fitur panduan langkah, penjadwalan–notifikasi, checklist, dan pencatatan sederhana) serta materi edukasi siap pakai. Temuan mengindikasikan bahwa kombinasi edukasi tatap muka dan aplikasi mobile membantu standarisasi praktik, meningkatkan kedisiplinan proses, dan menurunkan potensi salah prosedur.
Turbine Slope Testing in Microhydro Plants as a Regional Electricity Source near River Flows that are not Reachable by PLN: Muhammad Arief Bustomi, Meli Riski Utami, Bachtera Indarto, Yono Hadi Pramono, Gontjang Prajitno, Ali Yunus Rohedi, Endah Purwanti Muhammad Arief Bustomi; Meli Riski Utami Utami; Bachtera Indarto Indarto; Yono Hadi Pramono Pramono; Gontjang Prajitno Prajitno; Ali Yunus Rohedi Rohedi; Endah Purwanti Purwanti
Jurnal Fisika dan Aplikasinya Vol 21 No 1 (2025): January 2025 Edition
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v21i1.2704

Abstract

Electrical energy has become the main need of society. PLN manages the supply of electrical energy in Indonesia as the State Electricity Company. The problem is that not all areas of Indonesia are covered by the PLN electricity network. Various energy sources can be converted into electrical energy in remote areas not yet reached by the PLN network. One example of this energy source is micro hydro energy, energy from river flows that are not too strong. The equipment for converting micro hydro energy into electrical energy is called MHPP. This research is part of the application of MHPP based on Archimedes screw turbines as a source of electricity for areas near river flows that are not yet accessible to river flows. The focus of the research is to study the effect of the turbine elevation angle on the output electrical power of the MHPP. This research aims to determine the optimum values of rotation, torque, voltage, current and electrical power produced by an Archimedes screw turbine MHPP design with variations in turbine elevation angles of 20°, 25°, 30°, 35° and 40°. The MHPP design studied consists of 3 blades, a gearbox ratio of 2.8:1, a water flow rate of 6.34 liters/second, and a low rpm BLDC generator type. The optimum rotation is 1001.38 rpm at an elevation angle of 35° and the optimum torque is 1,738 Nm at an elevation angle of 40°. The optimum voltage is 14.84 V, the optimum current is 0.670 A, and the optimum electrical power is 7.861 W at an inclination angle of 40°.
Light Spectrum Speckle Analysis in Roughness Material Identification by Using Naïve Bayes Classifier Based Equalization Histogram Adaptive: Muhammad Arief Bustomi, Edwin Widya Utama, Endah Purwanti Muhammad Arief Bustomi Muhammad Arief Bustomi; Edwin Widya Utama Edwin Widya Utama; Endah Purwanti Endah Purwanti
Jurnal Fisika dan Aplikasinya Vol 19 No 3 (2023): October 2023 Edition
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v19i3.3083

Abstract

Speckle imaging is a method that has been used in various fields. This method can be used to analyze the surface roughness of an object. Speckle imaging uses laser light and observes speckle patterns formed from light interference on the surface. The speckle imaging method is very safe and does not require any contact so it is easy to detect the roughness of an object. In this research, two types of sandpaper were used as rough surface objects. Speckle images of the sandpaper surface were created using three laser diodes with different wavelengths, namely 405 nm, 550 nm, and 650 nm. Image processing in this research begins with pre-processing methods, image segmentation, feature extraction, and then the classification process. The feature extraction process uses an Adaptive Histogram. The classification process uses the Naïve Bayes classifier method. Based on the research results, it was found that variations in the wavelength of the light spectrum affect the results of the Adaptive Histogram image features. The accuracy of Naïve Bayes classification increases if the wavelength used in creating the speckle image is shorter. Identification accuracy increased from 92% to 96% due to the use of speckle images resulting from diode laser irradiation from 650 nm to 405 nm.
Co-Authors Ali Yunus Rohedi Rohedi Bachtera Indarto Indarto Bustomi, Muhammad Arief Danar Arifka Rahman Edwin Widya Utama Edwin Widya Utama Fadhlin A Arif, Fadhlin A Fadli Ama Franky Candra Satria Arisgraha Franky Chandra Satria Arisgraha Gontjang Prajitno Prajitno M. Arief Bustomi M. Arief Bustomi Meli Riski Utami Utami Muhammad Arief Bustomi Muhammad Arief Bustomi Muhammad Arief Bustomi Pujiyanto Pujiyanto Soegianto Soelistiono Utama, Edwin Widya Yono Hadi Pramono Pramono