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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol IJAIT (International Journal of Applied Information Technology) Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Charity : Jurnal Pengabdian Masyarakat Indonesian Community Journal Empowerment: Jurnal Pengabdian Masyarakat eProceedings of Applied Science JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Jurnal INFOTEL
Gita Indah Hapsari
Universitas Telkom
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IoT-based guppy fish farming monitoring and controlling system Periyadi Periyadi; Gita Indah Hapsari; Zahir Wakid; Sobran Mudopar
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 3: June 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i3.14850

Abstract

Nowadays, monitoring of guppy fish farming is still done manually. A monitoring and control system is needed to make it easier for guppy fish farmers. This system consists of a sensor module and monitoring module. Sensor module detects the value of pH and salinity of water and send it to the monitoring module. Monitoring is used as a web-based system using IoT technology. This web-based system serves to monitor and control the pH value and only monitor the salinity value. The workings of the monitoring and control system send data on pH and salinity sent by the sensor and then stored and in database hosting. Data on the database will be displayed on the website using wireless media, making it easier for users to view data and information remotely. Beside, farmers are facilitated in knowing the value of pH and salt content dissolved in water. For the value of a dangerous salt content worth less than 160 and more than 210, if for a pH of less than 6.5 and more than 7.5. Farmers are also facilitated to control pH with servo motors through the website, so farmers can prevent if the pH content dissolved in water is dangerous for guppy fish.
Face recognition smart cane using haar-like features and eigenfaces Gita Indah Hapsari; Giva Andriana Mutiara; Husein Tarigan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.11772

Abstract

Visually impaired has the limitation in interacting with another human. They usually use the sense of hearing and touching their face to recognize human. Face recognition is a technology that can be used to solve this problem. This paper develops a smart cane function by integrated face recognition feature on the cane using Haar-Like features and Eigenfaces. This paper proposed a portable, real time, and wearable product. Raspberry Pi supports portability that affects the delay and computing speed of face recognition algorithms. Utilization of Raspi camera on the eyes glasses is for wearable purposes. Voice output provides information on whether the face is caught on camera or not. This prototype works well during the face detection and recognition process. It needs 3 seconds for one-face recognized in range 0.25 until 1.5 meters from the camera, until the sound and information are generated. It needs is me 5 second for two faces recognized and 10 seconds for 3 faces recognized by a system in the same range between face and the camera. The accuracy reaches 91.67% for the up-right position face but for other position the accuracy is only 18% until 32%.
Wireless sensor network for monitoring irrigation using XBee Pro S2C Gita Indah Hapsari; Giva Andriana Mutiara; Luky Rohendi; Aldy Mulia
Bulletin of Electrical Engineering and Informatics Vol 9, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1118.2 KB) | DOI: 10.11591/eei.v9i4.1994

Abstract

Monitoring irrigation is still the problem of agriculture in Indonesia. During the dry season, the farming fields drought while in the rainy season, floods happened. Since the farm-fields located far from the urban area, it requires an automatic tool for monitoring the availability of water that can help the farmer to monitor the farm-field. Wireless sensor network is an appropriate technology used to overcome problems related to the monitoring system. This research is using a water level sensor, pump, Arduino Nano, and XBee Pro S2C in each monitoring node. The system designed within two modules, an automation irrigation module and a monitoring module, which is connected with the communication configuration of master-slaves between Xbee Pro S2C at each node. The system examined several scenarios in order to test the performance. Based on the testing result, all the performance parameters can be adequately delivered to the user and appropriated with the real condition in the farm field. The delay between nodes only takes 5-10 seconds.
Klasifikasi Statistikal Tekstur Sel Pap Smear Dengan Decesion Tree Toni Arifin; Dwiza Riana; Gita Indah Hapsari
Jurnal Informatika Vol 1, No 1 (2014): Jurnal INFORMATIKA
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.823 KB) | DOI: 10.31294/ji.v1i1.180

Abstract

ABSTRAK Penelitian ini menyajikan analisis tekstur dan klasifikasi citra sel pap smear. Pada analisis tekstur difokuskan pada citra nukleus sel Pap smear, metode yang digunakan adalah metode Gray Level Co-occurrence Matrix (GLCM) dengan menggunakan lima parameter yaitu korelasi, energi, homogenitas dan entropi ditambah dengan menghitung nilai Brightness pada citra yang diproses. Citra yang digunakan dalam penelitian ini menggunakan data citra Harlev, yang terdiri dari 280 citra yang sudah dikategorikan ke dalam 7 kelas yaitu 3 kelas sel normal yang meliputi Normal Superficial, Normal Intermediate, and Normal Columnar dan 4 kelas lainnya adalah kategori kelas citra sel abnormal yang meliputi Mild (Light) Dyplasia, Moderate Dysplasia, Severe Dysplasia dan Carcinoma In Situ. Berdasarkan hasil pengolahan citra yang menghasilkan nilai matriks dari setiap parameter yang dihitung, citra sel Pap smear akan diklasifikasikan menurut jenisnya normal atau abnormal dan berdasarkan kelasnya dengan menggunakan decision tree yang diolah dengan algoritma clasifier J48 pada aplikasi weka. Untuk akurasi yang dihasilkan dari klasifikasi sel normal dan abnormal adalah 73% dan untuk akurasi klasifikasi tujuh kelas adalah 34,3%. Kata Kunci : Klasifikasi, Statistikal Tekstur, Sel Pap Smear, Decision Tree. ABSTRACT This research presents the texture analysis and classification of cells pap smear image. Texture analysis focused on the cell nucleus Pap smear image, the research method used the Gray Level Co-occurrence Matrix (GLCM) method, by using five parameter that include contrast, correlation, energy, homogeneity, entropy and brightness. The image used in this research using image data Harlev. The images from 280 subjects are categorized into seven classes. Three classes of which are normal cell image class categories that include Normal Superficial, Normal Intermediate, and Normal Columnar, and the other four classes are categories of abnormal cell image class that include Mild (Light) Dyplasia, Moderate Dysplasia, Severe Dysplasia and Carcinoma In Situ. Based on the results of image processing that produces a matrix of values of each parameter were calculated, Pap smear cell image will be classified according to the type of normal or abnormal and based on the class using the decision tree treated with algorithm clasifier J48 in weka applications. To the resulting accuracy of the classification normal and abnormal cells is 73% and for seven class classification accuracy is 34,3%. Keywords : Classification, Statistical Texture, Cell Pap Smear, Decision Tree
An Experimental Connectivity Performance of Simple Wireless Mesh Implementation Using Wireless Distribution System (WDS) Dicky Muhammad; Gita Indah Hapsari; Giva Andriana Mutiara
IJAIT (International Journal of Applied Information Technology) Vol 01 No 01 (May 2017)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v1i02.871

Abstract

Today wireless technology grows rapidly, especially in the field of telecommunications and communications. Computer networks now widely utilizes wireless. Wireless Mesh Network is one of the method which is use to communicate computer wirelessly. One important factor in application of wireless network is how to extend wireless signal coverage. Wireless Distribution System is one way to expand the wireless network by mean of wireless interconnection of access point on the network IEEE 8022.11. This study suggests how to build a simple wireless computer network using WDS technology and describes connectivity performance and its signal coverage. The test result of connectivity performance shows that the connectivity between two computers work properly for reliability and multi SSID testing. However, the connectivity was not success in multichannel testing. Furthermore the test result of coverage shows that the range of wireless signal coverage reaches 39 meters with different circumstance room.
Workshop Dan Pelatihan Pembuatan E-Katalog Sebagai Media Penjualan Online Dan Cloud Application Untuk Umkm Saat Wfh Covid-19 Arry Widodo; Candra Wijayangka; R. Nurafni Rubiyanti; Ade Irma Susanty; Anita Silvianita; Romat Saragih; Gita Indah Hapsari; Prajna Deshanta Ibnugraha; Mia Rosmiati
Charity : Jurnal Pengabdian Masyarakat Vol 5 No 1 (2022): Charity-Jurnal Pengabdian Masyarakat
Publisher : PPM Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/charity.v5i1.2991

Abstract

Tujuan dari pengabdian masyarakat ini adalah untuk memberikan pengetahuan kepada pelaku bisnis terutama UMKM (Usaha Mikro Kecil dan Menengah) dalam meningkatkan bisnis yang mereka jalani. Setiap perusahaan yang profesional harus memiliki strategi penjualan, terutama di tengah wabah Covid-19. Strategi ini dibutuhkan sebagai bentuk pertanggungjawaban perusahaan dan untuk mengukur kemampuan perusahaan untuk bertahan. Untuk itu, diperlukan strategi penjualan melalui E-Katalog pada media online, serta penggunaan cloud computing sebagai pusat pengelolaan data. Penggunaan teknologi ini harus mudah dipahami oleh pihak yang berkepentingan. Selain itu juga harus relevan artinya bisa digunakan oleh pelaku bisnis UMKM. E-Katalog tersebut juga harus andal, yaitu dapat digunakan terus-menerus sehingga dapat digunakan untuk meningkatkan penjualan, tidak hanya di tengah kondisi wabah. Hasil yang diharapkan adalah masyarakat sasar dapat membuat E-Katalog sederhana, sehingga mampu bertahan di tengah kondisi bisnis saat ini dan dapat meningkatkan kompetensi masyarakat di masa depan
Pengukuran Konduktivitas Cairan Berbasis Mikrokontroler AT89C2051 Gita Indah Hapsari; Roy Chaidir
TELKA - Jurnal Telekomunikasi, Elektronika, Komputasi dan Kontrol Vol 2, No 2 (2016): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v2n2.70-81

Abstract

Pengukuran konduktivitas merupakan bagian dari sebuah instrumen CTD (Conductvity Temperature Depth) yang digunakan  untuk mengukur salinitas (kadar Garam) air atau berdiri sendiri sebagai alat ukur konduktivitas cairan. Metoda yang digunakan adalah metoda pengukuran tak kontak (contactless) dengan menggunakan sensor toroida. Sensor ini diaplikasikan dan diuji di ISRG ITB untuk mendapatkan karakteristik input atau outputnya. Adapun pengolahan data sensor adalah sebuah modul yang dirancang dengan basis mikrokontroler AT89C2051 dan program aplikasi sederhana untuk PC. Keluaran dari prototype ini dalam bentuk tegangan pada monitor untuk selanjutnya dianalisis secara grafis. Pengujian dilakukan pada sekumpulan data input berupa nilai resistansi dan larutan garam. Hasil secara keseluruhan menunjukkan bahwa perbandingan input/output menghasilkan bentuk mendekati linier. Hal ini menunjukkan bahwa alat ini dapat bekerja dengan baik dan dapat digunakan dalam menentukan konduktivitas cairan.
MEASURING BABY’S BODY LENGTH UTILIZING IMAGE PROCESSING Windy Andhika Putra; Muhammad Rizqy Alfarisi; Gita Indah Hapsari; Periyadi
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 1 (2022)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v7i1.116

Abstract

The Baby Body Length Measurement System with Machine Learning methods and Open CV library is a system designed to make it easier for Posyandu officers to take measurements of the baby's body length, where this system will measure the baby's body length using a camera, and assisted with library image processing, namely, Open CV, and to measure the length of the baby's body using Machine Learning, namely the Linear Regression method, and the measurement data will be sent to a Web application so that the baby's mother can monitor the growth and development of her baby, The system that was built has an average error of -1,42 in the condition of the lamp with a power of 40Watt and in the light of a lamp with a power of 11Watt the average error is found with a value of -15,37 and at a distance of 64 cm the system can detect objects and measure the length of the object with an average measurement error of -10,6.
Implementasi Digital Signage untuk Digital Marketing Produk UMKM pada Komunitas Sentra Kreasi Bandung Robbi Hendriyanto; Wardani Muhamad; Heru Nugroho; Anak Agung Gde Agung; Rini Handayani; Gita Indah Hapsari; Kristina Sisilia; Agus Maolana Hidayat; Pramitha Aulia
Empowerment: Jurnal Pengabdian Masyarakat Vol. 1 No. 6 (2022): NOVEMBER 2022
Publisher : Pusat Riset Manajemen dan Publikasi Ilmiah Serta Pengembangan Sumber Daya Manusia Sinergi Cendikia

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

Abstract

Digital signage (DS) can be used by business actors (MSMEs) to maximize marketing activities in addition to using other digital media such as social media, websites, videos, and SEO. DS is also part of a system that helps manage marketing as a medium that regulates product information owned by members of the MSME community. In the MSME Community of Kampung Digital Sentra Kreasi (Sentra Kreasi) Bandung, which houses various MSME, it was found that until now community members have not used digital signage as their marketing medium. Through the provision of DS services, it is hoped that community members can maximize their marketing. The method of carrying out activities is through socializing the use of digital signage and training on the use of marketing management systems for members and administrators of the Sentra Kreasi. Digital Signage Service Implementation Activities and marketing management applications at the Sentra Kreasi are carried out through Community Service Activities carried out by lecturers and students of the Faculty of Applied Sciences (FIT) and the Faculty of Communication and Business (FKB).
Android-based System Monitoring of Supporting Variables for Nursery-Plant Growth in Plantation Areas Adis Kusyadi Nugraha; Giva Andriana Mutiara; Tedi Gunawan; Gita Indah Hapsari
JOIV : International Journal on Informatics Visualization Vol 7, No 1 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.1.1594

Abstract

In cultivating timber trees, farmers must pay attention to the seed selection with superior heredity, hormones, and the condition of the plantation area that supports the growth of nursery plants properly. Several factors that support the growth of nursery plants are nutritional factors, sunlight, temperature, soil pH, water, and soil moisture. In terms of effectiveness and ease of access to information in monitoring the supporting condition factors and facilitating the farmers, an Android-based monitoring system was built to monitor the growth of nursery plants. The system consists of several sensors, such as a soil pH sensor, UV light sensor, and soil moisture sensor embedded with Raspberry pi and firebase. The proposed system was examined on a plantation area of 900 square meters. The testing is conducted by placing a combination of 4 to 8 sensors in the plantation area. Data from each sensor is processed by calculating the average, and the results are rounded to the nearest value. The test stated that to monitor an area of 900 square meters, the area with five sensors implanted can be used as the optimal implementation. Apart from economic reasons, the minor rounding error equals 8.25% compared to the number of other sensors. The results that are informed to the farmers are also within the appropriate range. There are no significant differences, and this approach can be used to implement in a broader area
Co-Authors Achmad Dhani Maulana Ade Irma Susanty Adis Kusyadi Nugraha Agus Maolana Hidayat Ajie Fauhad Fadhlullah Aldy Mulia Alfi Kautsar Anak Agung Gde Agung Andi Abdullah Siregar Anita Silvianita Aris Pujud Kurniawan Arry Widodo Astadi Pangarso Bayu Erfianto Candra Wijayangka Devie Ryana Suchendra Dicky Muhammad Dika Achmad Putra Dimas Salim Dwiza Riana Dyah Irawati, Indrarini Eka Saputra, Dany Emmanuel Juan Patrick Hapsoro FAHRU RIZAL, MOCHAMMAD Fanny Husnul Hanifa Fauzan Aziz Giva Andriana Mutiara Gunawan, Tedi Hanna Yara Heru Nugroho Husein Tarigan Indrarini Dyah Irawati Kristina Sisilia Lisda Meisaroh, Lisda Luky Rohendi Mampe Parulian Munthe Mia Rosmiati Mia Rosmiati Muhammad Ikhsan Sani Muhammad Raihan Akbar Muhammad Rizky Alfarisi Muhammad Rizqy Alfarisi Muhammad, Dicky Nadya Novandriani Karina Mulyono Naufal Azhar Fauzi Nina Hendrarini Nurchafidz Febrian Rizqi Periyadi, Periyadi Prajna Deshanta Ibnugraha Pramitha Aulia R. Nurafni Rubiyanti Ramadhanu Putra Rendy Munadi Rennyta Yusiana Rini Handayani Robbi Hendriyanto Roy Chaidir Saragih, Romat Sobran Mudopar Taufik Ilham Edy Ardiansah Toni Arifin Wardani Muhamad Windy Andhika Putra Zahir Wakid Zulfira Indah Astuti