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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics ILKOM Jurnal Ilmiah TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika eProceedings of Engineering
Casi Setianingsih
Universitas Telkom
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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RANCANG BANGUN APLIKASI MOBILE UNTUK MENENTUKAN SOLUSI OPTIMAL PENCARIAN RUTE TERBAIK MENGGUNAKAN ALGORITMA ANT COLONY OPTIMIZATION Irawan, Budhi; Setianingsih, Casi; Arramsyah, Izzat
ILKOM Jurnal Ilmiah Vol 10, No 1 (2018)
Publisher : Program Studi Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.475 KB)

Abstract

Dampak dari musibah kebakaran bisa ditekan jika petugas dan kendaraan Damkar (pemadam kebakaran) bisa bekerja cepat. Selain faktor keterlambatan laporan kepada Damkar dan kondisi  jalan Kota Bandung yang macet ikut memperlambat laju petugas. Proses pengisian tangki air menjadi masalah utama, selain terbatas keberadaannya juga kualitas semburannya rendah sehingga petugas harus mencari sumber air selain hydrant. Dari permasalahan tersebut maka dibutuhkan suatu alat bantu yang praktis berupa aplikasi dengan memanfaatkan perangkat smartphone yang dapat membantu mencarikan solusi optimal guna mendapatkan rute perjalanan petugas Damkar dalam upaya menjangkau lokasi kebakaran dan mendapat sumber air didalam mendukung tugasnya memadamkan api di lokasi kebakaran. Adapun guna menentukan rute optimal sesuai kebutuhan diatas maka dipilih algoritma ACO (Ant Colony Optimization) dan Metode SAW (Simple Additive Weighting) yang diimplementasikan pada aplikasi mobile yang dibangun. Sehingga dengan aplikasi ini dapat membantu para petugas Damkar didalam menjalankan tugasnya terutama mendapatkan rute jalan yang optimal beserta sumber air yang diperlukan.
Speech Recognition Implementation Using MFCC and DTW Algorithm for Home Automation Haq, Abdulloh Salahul; Nasrun, Muhammad; Setianingsih, Casi; Murti, Muhammad Ary
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2041

Abstract

The use of speech recognition as part of home automation, especially for smart homes, is an exciting thing that is still being developed. That is because of human needs for comfort, convenience, quality of life, and better safety. Speech recognition built in this study is used as a device to control smart home devices by identifying the commands spoken by users, especially in a state of clean speech. The command used is a predetermined consecutive word. For the extraction of voice commands, the MFCC algorithm is used to match spoken words with templates using the Dynamic Time Warping (DTW) algorithm. DTW algorithm can find the difference between 2-time series that have different lengths of time. The results of the accuracy of this system by using these algorithms were successfully carried out by 86.67%, with an average time required to identify the commands of 5.28 seconds.
Earthquake Early Warning System Prototype Based on Lot Using Backpropagation Algorithm Pranesthi, Adi; Irawan, Budhi; Setianingsih, Casi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2042

Abstract

Earthquakes are vibrations that occur on the earth's surface due to the sudden release of energy from the inside that creates seismic waves. An earthquake is caused by the movement of the earth's crust (the earth's plate). The frequency of a region refers to the type and size of earthquakes experienced during a period. Along with the development of early earthquake detection system technology provides a solution to minimize earthquake events. This research will discuss the system's design to determine the occurrence of earthquakes through time pattern analysis and Peak Ground Acceleration value. By using the Radial Basis Function Method, which later to minimize the loss of life from earthquakes. And help the main tools owned by the government. This study aims to determine the occurrence of earthquakes from Peak Ground Acceleration values and time analysis patterns, which are obtained from the decision of the Backpropagation method with an accuracy rate of 88%.
Cholesterol Detection Based on Eyelid Recognition Using Convolutional Neural Network Method Pratama, Rizki Mulia; Novianty, Astri; Setianingsih, Casi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2043

Abstract

Lack of public awareness of health will cause serious problems. A small example, people now tend to always consume fatty foods without thinking about the risk of cholesterol levels in the body.  Information on the level of cholesterol suffered by humans can be seen on the human eyelids. The eyelids, one part of the eye, can be known as a person's cholesterol level by observing the eyelids' shape and condition, but many people do not know about this. This application is an application made to detect cholesterol based on the shape of the eyelids. This can determine whether a person is exposed to cholesterol or not, using the Convolutional Neural Network (CNN) method in the classification process. This study provides an output in the form of early detection of cholesterol and prevention so that users can minimize the possibility of illness that will be suffered. This research was conducted to detect cholesterol one eyelid based on digital images. For detecting a cholesterol level, this system got 95.83% of accuracy.
Speech Recognition Implementation Using MFCC and DTW Algorithm for Home Automation Abdulloh Salahul Haq; Muhammad Nasrun; Casi Setianingsih; Muhammad Ary Murti
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2041

Abstract

The use of speech recognition as part of home automation, especially for smart homes, is an exciting thing that is still being developed. That is because of human needs for comfort, convenience, quality of life, and better safety. Speech recognition built in this study is used as a device to control smart home devices by identifying the commands spoken by users, especially in a state of clean speech. The command used is a predetermined consecutive word. For the extraction of voice commands, the MFCC algorithm is used to match spoken words with templates using the Dynamic Time Warping (DTW) algorithm. DTW algorithm can find the difference between 2-time series that have different lengths of time. The results of the accuracy of this system by using these algorithms were successfully carried out by 86.67%, with an average time required to identify the commands of 5.28 seconds.
Earthquake Early Warning System Prototype Based on Lot Using Backpropagation Algorithm Adi Pranesthi; Budhi Irawan; Casi Setianingsih
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2042

Abstract

Earthquakes are vibrations that occur on the earth's surface due to the sudden release of energy from the inside that creates seismic waves. An earthquake is caused by the movement of the earth's crust (the earth's plate). The frequency of a region refers to the type and size of earthquakes experienced during a period. Along with the development of early earthquake detection system technology provides a solution to minimize earthquake events. This research will discuss the system's design to determine the occurrence of earthquakes through time pattern analysis and Peak Ground Acceleration value. By using the Radial Basis Function Method, which later to minimize the loss of life from earthquakes. And help the main tools owned by the government. This study aims to determine the occurrence of earthquakes from Peak Ground Acceleration values and time analysis patterns, which are obtained from the decision of the Backpropagation method with an accuracy rate of 88%.
Cholesterol Detection Based on Eyelid Recognition Using Convolutional Neural Network Method Rizki Mulia Pratama; Astri Novianty; Casi Setianingsih
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2043

Abstract

Lack of public awareness of health will cause serious problems. A small example, people now tend to always consume fatty foods without thinking about the risk of cholesterol levels in the body.  Information on the level of cholesterol suffered by humans can be seen on the human eyelids. The eyelids, one part of the eye, can be known as a person's cholesterol level by observing the eyelids' shape and condition, but many people do not know about this. This application is an application made to detect cholesterol based on the shape of the eyelids. This can determine whether a person is exposed to cholesterol or not, using the Convolutional Neural Network (CNN) method in the classification process. This study provides an output in the form of early detection of cholesterol and prevention so that users can minimize the possibility of illness that will be suffered. This research was conducted to detect cholesterol one eyelid based on digital images. For detecting a cholesterol level, this system got 95.83% of accuracy.
RANCANG BANGUN APLIKASI MOBILE UNTUK MENENTUKAN SOLUSI OPTIMAL PENCARIAN RUTE TERBAIK MENGGUNAKAN ALGORITMA ANT COLONY OPTIMIZATION Budhi Irawan; Casi Setianingsih; Izzat Arramsyah
ILKOM Jurnal Ilmiah Vol 10, No 1 (2018)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v10i1.237.17-27

Abstract

Dampak dari musibah kebakaran bisa ditekan jika petugas dan kendaraan Damkar (pemadam kebakaran) bisa bekerja cepat. Selain faktor keterlambatan laporan kepada Damkar dan kondisi  jalan Kota Bandung yang macet ikut memperlambat laju petugas. Proses pengisian tangki air menjadi masalah utama, selain terbatas keberadaannya juga kualitas semburannya rendah sehingga petugas harus mencari sumber air selain hydrant. Dari permasalahan tersebut maka dibutuhkan suatu alat bantu yang praktis berupa aplikasi dengan memanfaatkan perangkat smartphone yang dapat membantu mencarikan solusi optimal guna mendapatkan rute perjalanan petugas Damkar dalam upaya menjangkau lokasi kebakaran dan mendapat sumber air didalam mendukung tugasnya memadamkan api di lokasi kebakaran. Adapun guna menentukan rute optimal sesuai kebutuhan diatas maka dipilih algoritma ACO (Ant Colony Optimization) dan Metode SAW (Simple Additive Weighting) yang diimplementasikan pada aplikasi mobile yang dibangun. Sehingga dengan aplikasi ini dapat membantu para petugas Damkar didalam menjalankan tugasnya terutama mendapatkan rute jalan yang optimal beserta sumber air yang diperlukan.
KLASIFIKASI TWEET KONDISI LALU LINTAS KOTA JAKARTA DENGAN PENERAPAN METODE K-NEAREST NEIGHBOR Ziza Amira Syafini; Muhammad Nasrun; Casi Setianingsih
TEKTRIKA Vol 3 No 1 (2018): TEKTRIKA Vol.3 No.1 2018
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v3i1.2212

Abstract

Setiap tahun, jumlah kendaraan di Jakarta semakin meningkat. Namun, peningkatan jumlah kendaraan bermotor di Jakarta tidak sebanding dengan penambahan ruas jalan. Kondisi ini menyebabkan terganggunya kelancaran lalu lintas dan menimbulkan titik-titik kemacetan. Untuk mengantipasi terjebak dalam kemacetan, pengguna lalu lintas mencari dan saling bertukar informasi tentang kemacetan di media sosial. Salah satu media sosial yang sering digunakan masyarakat untuk menyebarkan informasi adalah Twitter. Penelitian ini dilakukan untuk memgklasifikasi kondisi lalu lintas berdasarkan data yang didapatkan dari Twitter. Data diklasifikasikan menjadi 3 kondisi yaitu lancar, padat dan macet. Metode yang digunakan pada penelitian ini adalah k-Nearest Neighbor. Dari beberapa uji skenario yang dijalankan, didapatkan hasil rata-rata-rata akurasi di atas 70%. Nilai k yang optimal pada penelitian ini adalah 8.
SIMULASI SISTEM KENDALI BERBASIS PERILAKU PADA AUTONOMOUS MOBILE ROBOT DENGAN METODA Q-LEARNING Casi Setianingsih; Kusprasapta Mutijarsa; Muhammad Ary Murti
TEKTRIKA Vol 4 No 2 (2019): TEKTRIKA Vol.4 No.2 2019
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v4i2.2879

Abstract

Autonomous robot adalah suatu robot yang mampu bekerja secara mandiri tanpa pengendalian langsung dari manusia. Robot bekerja berdasarkan sensor-sensor yang dimilikinya, mengambil keputusan sendiri untuk menyelesaikan misi dalam lingkungan kerjanya. Dalam dunia nyata, lingkungan kerja robot sangat dinamis, selalu berubah, dan tidak terstruktur. Membuat suatu model lingkungan yang tidak terstruktur sangat sulit. Memperoleh model matematik yang tepat dari lingkungan seperti ini hampir tidak mungkin dilakukan. Untuk membuat suatu autonomous mobile robots yang mampu bekerja pada lingkungan yang tidak terstruktur dan dinamis,diperlukansuatumetodatertentuyangadaptifdanmampubelajar. Berdasarkan permasalahan tersebut maka pada riset ini dirancang suatu autonomous mobile robot dengan arsitektur berbasis perilaku yang dapat belajar dan bekerja secara mandiri pada lingkungan yang tidak terstruktur, menggunakan metoda Reinforcement Learning. Tujuan metoda ini diterapkan agar robot mampu belajar dan beradaptasi terhadap lingkungan yang tidak terstruktur. Selanjutnya robot dikembangkan agar mampu menyelesaikan misi menemukan target pada posisi tertentu berdasarkan informasi yang diperoleh dari sensor sensor yang ada. Hasil simulasi menunjukan bahwa algoritma pembelajaran Reinforcement Learning berhasil diterapkan pada arsitektur kendali berbasis perilaku di autonomous mobile robot dengan akurasi sebesar 85,71%.
Co-Authors Abdi Hazman Abdulloh Salahul Haq Adi Pranesthi Adine Nayla Adita Sukma Wardani Aditya Nugraha Adlirrahaman Hasfi Aji Adrian Sabagus Tanazri Afif Husaini Agung Nugroho Jati Agung Nungroho Jati Ahmad Devi Gunawan Ahmad Tri Hanuranto Al Agias Bayu Asa Alfian Imran Aloisius Gonzaga Januar Widi Aquarizky Alvaro Septra Dominggo Nauw Amanda Austin Herlambang Andrew Brian Osmond Arif Aquri Saputra Arramsyah, Izzat Ashri Dinimaharawati Asmianti Asrin Attallah Arelian Naufhal Bagas Prakoso Putra Bangkit Surya Praja Budhi Irawan Burhanuddin Dirgantoro Chianyung Chianyung Cornelius Situmorang Dyka Khairullah Zamhari Elka Distria Fairuz Azmi Farradita Imanda Fauzan Andaru Kurniadi Fauzul Haqi Siregar Feby Rahmasari Figo Plambudi Dwigantara Firdi Setiawan Fussy Mentari Dirgantara Garry Abel Diaraja H Gayuh Erlanggono G Grace Cyndiana Hamdi Aziz Al-Mujadidi Hanna Diwanti Haq, Abdulloh Salahul Hikmah Nisya Ilham Arisyandy Irfan Dhiya Abirawa Irghiansyah Izzul Haque Izzat Arramsyah Izzat Arramsyah Jannata Arianda Ja’far Razzaq Jhosua Parningotan Sianipar Kevin Manfield Anderson Pasaribu Kusprasapta Mutijarsa Linda Kartika M Agung Baskoro M. Indra Halim Arsya Dwi Akbari Maftukhah Carolin Noviardini Marisa W Paryasto Marisa W. Paryasto Martarheza Marthiyas Maulana Heardy Yusfian Megatari Wahyuningrum Handani Meta Kalista Meta Kallista Mohammad Ibrahim Al Mahi Mohammad Naufal Nabil Abdillah Muhamad Ramadhan Muhamad Rizky Arief Wicaksono Muhammad Akmal Fauzi Muhammad Ary Murti Muhammad Fathurrohim Nur Muhammad Iqbal G Putra Muhammad Izzah Aeman Muhammad Mufti Ramadhan Muhammad Nasrun Muhammad Reza Aji Pangestu Muhhammad Ary Murti Naufal Ramadhan Natafili Jangkaru Novianty, Astri Prabu Arie Pradana Pranesthi, Adi Pratama, Rizki Mulia Purba Daru Kusuma R. Rumani M Rumani M Raisha Citra Chairani Randy Efra Saputra Randy Erfa Saputra Ratna Astuti Renaldy Eka Putra Reyhan Adiptya Reza Mahendra Rizka Rona Putri Rizka Shinta Wulandari Rizki Mulia Pratama Rizky Iskandar Rizky Naufal Perdana Roswan Latuconsina Rumani Rumani Runi Siti N Septian Putra Manuel Simangunsong Sigit Yudha Juwantoro Sony Sumaryo Suryo Adhi Wibowo Tia Dianti Hajizah Tinton Aji Sadewo Tito Waluyo Purboyo Valerian Ezra Vyanza Wendi Harjupa Yudha Purwanto Yudhi Septian Rahman Ziqra Haniffah Ziza Amira Syafini