Article Per Year (5 Year)
p-Index From 2020 - 2025
1.066
P-Index
This Author published in this journals
All Journal JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali JSAI (Journal Scientific and Applied Informatics) Jurnal Indonesia : Manajemen Informatika dan Komunikasi
IHSAN, INDAH PURWITASARI
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
INTERNET OF THINGS UNTUK MONITORING GEJALA KECEMASAN PADA PASIEN MENGGUNAKAN LOGIKA FUZZY Sakir, Muh; Ihsan, Indah Purwitasari; Yusuf, Farida
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol 6, No 3 (2021): Jurnal Elektroda Vol 6 No 3
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jfe.v6i3.20820

Abstract

A patient should not be in a psychologically worrisome condition for fear of lowering the temperature causing slow healing to last a long time. Prolonged anxiety will develop into stress, so it is very necessary to detect anxiety early before anxiety persists and results in stress. However, these anxiety symptoms are related to the same psychological factors and contain uncertainties that cannot always be controlled and monitored by doctors. The purpose of this research is to create a system that can monitor the patient's anxiety symptoms in real-time based on the Internet of Things (IoT) so that doctors can determine the right treatment to maintain the patient's psychological condition. The system detects responses in humans when someone feels anxious, namely heart rate, body temperature, and sweat intensity which are detected using sensors. The information obtained from the sensor becomes input parameters which are then processed using fuzzy logic to detect early symptoms. Fuzzy logic was chosen because it is a method for solving fuzzy problems with the uncertainty of the threshold value of symptom change. The output is in the form of anxiety symptoms which are divided into 3 (three) symptoms, namely normal, mild, and severe. The research method used is the SDLC (System Development Life-Cycle) method. the results based on the black box test state that the entire functional system works according to its function, the white box test results state that all logic is correct and appropriate. The results showed that the system that had been built succeeded in monitoring anxiety in patients with a system accuracy of 98%.
PUZZLE ELEKTRONIK MONTESSORI SAND BOARD LETTER(SBL) UNTUK EDUKASI SUKU KATA BAHASA INDONESIA PADA ANAK USIA DINI Ihsan, Indah Purwitasari; Sakir, Muh; Yusuf, Farida
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol 6, No 3 (2021): Jurnal Elektroda Vol 6 No 3
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jfe.v6i3.20821

Abstract

Montessori is a learning method to stimulate children to reach their potential in all fields. In the field of reading literacy, one of the initial stages is how to stimulate initial reading skills, starting with introducing letters using the syllable learning method. The stimulation process must be in a fun and non-boring way of playing exploration so that children will not feel that they are learning, especially in the current state of the COVID-19 pandemic, where the learning process becomes boring for children because it has to be done at home. just. The purpose of this study is to create a learning technology in the form of an electronic Montessori Sand Board Letter (SBL) Puzzle for Indonesian syllables that can help stimulate early childhood according to the Montessori principle in recognizing syllables. The system development method uses the System Development Life-Cycle (SDLC) method. Based on the results of functional testing using the black box method, it is stated that the entire functional system is 100% functioning according to the system design. The results of testing and validation by Montessori practitioners state that the system has been made according to Montessori rules. Based on the results of usage observations, the Montessori Sand Board Letter (SBL) electronic puzzle for 85% Indonesian syllables can stimulate children's ability to recognize Indonesian syllables
Voice Recognition Untuk Otomatisasi Sistem Pengakses Pintu Ihsan, Indah Purwitasari; Buwarda, Sukriyah; Novianty, Hilda; Putra, Ifsan Aditya
JSAI (Journal Scientific and Applied Informatics) Vol 4, No 1 (2021): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v4i1.1318

Abstract

Penggunaan kunci manual sebagai pembuka dan pengunci pintu masih belum optimal. Masalah yang sering terjadi adalah pemilik kunci sering kali lupa dimana menyimpan kunci bahkan hingga terjadi kehilangan kunci. Sistem biometrik pola suara memiliki ciri khas dan karakteristik yang berbeda pada setiap manusia, maka suara dapat dijadikan salah satu alternatif solusi, yaitu suara sebagai kunci untuk membuka pintu secara otomatis sehingga lebih efisien. Otomatisasi sistem pengunci pintu dibuat menggunakan Elechouse v3 yang berfungsi sebagai voice recognition serta Solenoid lock door sebagai pengunci otomatis pada pintu. Hasil pengujian fungsional menggunakan black box menunjukkan bahwa seluruh alat yang dirangkai berfungsi sesuai fungsinya. Pengujian tingkat keberhasilan sistem dilakukan menggunakan variable derau, non derau dan jarak. Pada data training tingkat keberhasilan sistem ini jika tanpa derau adalah 100%, sedangkan dengan derau 50.0 dB hingga 70 dB rata-rata tingkat keberhasilannya adalah 56,2%. Untuk jarak 30 cm sampai 180 cm rata-rata keberhasilannya sebesar 40,51%. Jarak terjauh adalah pada jarak 150 cm dengan presentase keberhasilan 5%. Pada data testing tingkat keberhasilannya jika tanpa derau adalah 0%, sedangkan dengan derau 50.0 dB hingga 70 dB rata-rata tingkat keberhasilannya adalah 1,9%. Untuk jarak 30 cm sampai 180 cm rata-rata keberhasilannya sebesar 0%.The use of manual locks as door openers and locks is still not optimal. The problem that often occurs is that the key owner often forgets where to store the key and even loses the key. The voice pattern biometric system has different characteristics for each human, so sound can be an alternative solution, namely voice as a key to open doors automatically so that it is more efficient. Door lock system automation is made using Elechouse v3 which functions as voice recognition and Solenoid door lock as automatic locking of doors. The results of functional testing using a black box show that all the tools assembled function according to their function. Testing the success rate of the system is carried out using noise, non-noise and distance variables. In the training data, the success rate of this system without noise is 100%, while with a noise of 50.0 dB to 70 dB the average success rate is 56.2%. For a distance of 30 cm to 180 cm the success rate is 40.51%. The farthest distance is at a distance of 150 cm with a success percentage of 5%. In the testing data, the success rate without noise is 0%, while with a noise of 50.0 dB to 70 dB the average success rate is 1.9%. For a distance of 30 cm to 180 cm the success rate is 0%. 
Haar Cascade dan Algoritma Eignface Untuk Sistem Pembuka Pintu Otomatis Ihsan, Indah Purwitasari
JSAI (Journal Scientific and Applied Informatics) Vol 4, No 2 (2021): Juni 2021
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v4i2.1642

Abstract

Teknologi diciptakan untuk mempermudah manusia dalam melakukan segala pekerjaan dan aktifitasnya, termasuk dalam hal mengakses pintu. Menggunakan teknologi pengolahan citra, wajah merupakan salah satu alternatif yang bisa digunakan untuk mengakses pintu dan mengamankannya dari orang yang tidak bertanggung jawab. Hal ini dikarenakan wajah setiap manusia memiliki pola yang berbeda-beda yang bisa ditransformasikan menjadi citra digital dan diolah mengunakan algoritma pengolahan citra. Dalam penelitian ini, mengkombinasikan haar cascade dan algoritma eigenface untuk mengolah citra wajah. Hasil dari pengolahan citra tersebut digunakan untuk menentukan hak akses dalam mengakses pintu, untuk kemudian diintegrasikan ke mikrokontroller, sehingga pintu dapat terbuka otomatis. Penelitian ini menghasilkan prototype system pembuka pintu otomatis dengan pengenalan wajah sebagai penentu hak aksesnya. Dari hasil penelitian, algoritma eigenface tidak dapat bekerja pada pencahayaan 0 lux  hingga 8 lux dalam jarak 20 cm hinga 60 cm  yaitu menghasilkan akurasi 0%, sedangkan pada pencahayaan 36 lux sampai 44 lux dan 160 lux sampai172 lux algoritma eigenface bekerja dengan baik dengan jarak pengambilan gambar 20-60 cm dengan akurasi 80%. Technology was created to make it easier for humans to do all their work and activities, including accessing doors. Using image processing technology, faces are an alternative that can be used to access doors and secure them from irresponsible people. This is because the face of every human being has a different pattern that can be transformed into a digital image and processed using an image processing algorithm. In this research, combining haar cascade and eigenface algorithm to processing face images. The results of the image processing are used to determine access rights in accessing the door, and then integrated into the microcontroller, so that the door can be opened automatically. This research produces a prototype automatic door opening system with face recognition as a determinant of access rights. From the results of the study, the eigenface algorithm cannot work at 0 lux  to 8 lux lighting within a distance of 20 cm  to 60 cm which produces 0% accuracy, while at 36 lux to 44 lux and 160 lux to 172 lux lighting the eigenface algorithm works well with a shooting distance of 20 cm to 60 cm with 80% accuracy.
METODE PROFILE MATCHING UNTUK DIAGNOSA GANGGUAN PENCERNAAN PADA ANAK Ihsan, Indah Purwitasari; Sakir, Muh
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i1.196

Abstract

Profile matching is one of the methods in the Decision Support System, but in this study the profile matching method is used for expert systems, namely for diagnosing digestive disorders in children aged 0 to 7 years, the input data is symptom data while the output is in the form of diagnosis results in the form of a percentage of types of disorders. digestion. The process of profile matching is to determine the weight of the criteria for each symptom, create a knowledge base/ideal profile, determine the weight of the gap, determine the core factor and secondary factor, calculate the gap for each input symptom with the symptoms in the knowledge base, determine the weight of each gap, calculate the core score factor and secondary factor, ranking with a weight of 60% core factor and 40% secondary factor. The results of the study show that the profile matching method can be used to create an expert system for diagnosing digestive disorders in children with an accuracy value of 82%.
IMPLEMENTASI DAN EVALUASI EFEKTIFITAS RUANGKULIAHKU.COM SEBAGAI TOOLS MODEL PEMBELAJARAN E-LEARNING IHSAN, INDAH PURWITASARI; PRATAMA, IRHAM; SAKIR, MUH; YUSUF, FARIDA
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 5 No 2 (2020): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (978.47 KB) | DOI: 10.24252/instek.v5i2.16592

Abstract

Masa pandemi Covid-19 mengakibatkan banyak perubahan yang terjadi, salah satu dampak perubahannya adalah proses pembelajaran harus dilakukan secara online. Penelitian ini bertujuan untuk menghasilkan dan mengimplementasikan ruangkuliahku.com sebagai alat bantu (tools) model pembelajaran e-learning serta melakukan evaluasi efektifitasnya. Metode penelitian yang digunakan adalah metode penelitian tindakan. Metode pengembangan sistem menggunakan metode waterfall. Hasil dari pengujian fungsionalitas yang dilakukan sebanyak 5 kali menyatakan bahwa semua fungsi bisa digunakan dengan baik, dengan persentase keberhasilan sebesar 100%. Hasil pengujian user interface dan konten menunjukkan tingkat kelayakan 100%. Evaluasi efektifitas penggunaan ruangkuliahku.com sebagai tools model pembelajaran e-learning dilakukan oleh pengguna sistem. dari hasil evaluasi menyatakan persentase rata-rata tingkat efektifitas ruangkuliahku.com sebagai tools model pembelajaran e-learning adalah sebesar 97,59%.  Kata-kunci: e-learning, ,pandemic_Covid-19, ruangkuliahku.com 
Co-Authors Buwarda, Sukriyah Novianty, Hilda PRATAMA, IRHAM Putra, Ifsan Aditya SAKIR, MUH Yusuf, Farida