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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL POENALE Indonesian Journal of Information System Jurnal Teknik Informatika UNIKA Santo Thomas Compiler JUTEKIN (Jurnal Manajemen Informatika) Dharma Bakti MUHARRIK: JURNAL DAKWAH DAN SOSIAL Jurnal Pendidikan Bahasa Inggris Proficiency Journal of Community Development Industrika : Jurnal Ilmiah Teknik Industri Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Asian Journal of Community Services (AJCS) Teknomatika: Jurnal Informatika dan Komputer Babakti : Journal of Community Engangement
Agung Priyanto
FH.UNILA
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Nursing Public Health Social Sciences Other

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Journal : Teknomatika: Jurnal Informatika dan Komputer

 1 
Analisis Sentimen Kepuasan Pelanggan Perusahaan Telekomunikasi Seluler Telkomsel di Twitter Haerunnissa , Melia; Priyanto, Agung; Asnawi, Choerun; Alfi Sa'diya, Nafisa
Jurnal Teknomatika Vol 15 No 2 (2022): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v15i2.1117

Abstract

Telkomsel, the largest operator in Indonesia with the most users, collects a significant amount of tweet data on Twitter, containing both positive and negative feedback about their internet service. Analyzing this data can provide valuable insights and accurate information about Telkomsel's internet services based on user tweets, retweets, and comments. The aim is to build a sentiment analysis model to extract relevant information from Telkomsel users' tweets on Twitter, serving as feedback for service evaluation and an educational tool for users. The sentiment analysis process involves data retrieval, preprocessing, training, testing, classification, and visualization using Python programming with the Flask framework. Analysis of customer satisfaction sentiment reveals that Telkomsel has a negative sentiment, with an accuracy of 81.7% for training data and 84% for testing data. The sentiment analysis model was built using the Naive Bayes Classification method.
Rancang Bangun Sistem Parkir Menggunakan Kartu Barcode di Pasar Setono Betek Kediri Fajar Ega Roosdwita, Wenesdy; Priyanto, Agung; Cahyono, Ari; Fatimah, Nurul
Jurnal Teknomatika Vol 13 No 1 (2020): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v13i1.1123

Abstract

Along with the development of technology and information, human needs are increasing. Especially now that the parking system has experienced rapid development with a level of security for vehicles. One of the important things is the parking problem, the parking problem where the parking lot is large enough but still not supported by an adequate system. The use of a manual parking system has now begun to shift now with an automatic parking system that is integrated with the database as part of the parking system. Barcode card is a code in the form of a line of black or rectangular lines. Each line of the rectangle has a different width. So in this study the barcode card is used as an ID for parking users or parking customers who replace the manual parking system. The parking system data collection starts with Barcode Card user parking which is invincible with the parking user database via Barcode Scan. In a parking system using a Barcode Card, parking users can see the hours of entry and exit of parking congestion. by simply scanning or pasting the Barcode Card on the HC-SR04 sensor. This parking system will work based on existing data on the RFID tag and RFID reader. The data from the RFID tag will read the RFID reader and be processed in the Raspberry pi and servo motor to open and close the bar, then the buzzer will sound after which the ultrasonic sensor closes and opens the bar when the motor passes the sensor. With the parking system using this Barcode Card can provide security, comfort in the parking area is more guaranteed, and the parking area is managed in an orderly manner.
Implementasi Penggunaan Algoritma Weighted Product untuk Sistem Pendukung Keputusan Bantuan Lansia Yuyung Kusumaningrum, Ferlinda; Bayu Saputra, Andika; Priyanto, Agung; Fatimah, Nurul
Jurnal Teknomatika Vol 16 No 2 (2023): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v16i2.1249

Abstract

Lansia merupakan suatu siklus hidup yang pasti dialami oleh manusia dan hampir setiap orang. Terdapat permasalahan yang dihadapi oleh lansia dari menurunnya kondisi fisik sampai tidak dapat bekerja, Pemerintah mengeluarkan program untuk mendukung lansia. Bantuan lansia yang dapat diterima setiap tiga bulan atau sesuai informasi dari pemerintah. Namun saat ini program yang ada masih belum efektif karena terdapat kendala seperti belum ada sebuah sistem yang dapat menginputkan data, sehingga pendataan bantuan lansia masih secara manual menggunakan pencatatan di buku yang dapat menghambat waktu pendataan dan perhitungan data. Penelitian ini bertujuan untuk membangun sebuah sistem pendukung keputusan dalam menentukan penerima bantuan lansia guna membantu dalam proses pengambilan keputusan. Algoritma weighted product yang merupakan suatu algoritma yang sering digunakan untuk menganalisa sebuah keputusan. Hasil penelitian ini berupa sebuah Implementasi Penggunaan Algoritma Weighted Product untuk Sistem Pendukung Keputusan Penerima Bantuan Lansia. Sistem diharapkan membantu dalam menentukan keputusan dari barbagai pilihan yang mempertimbangkan beberapa macam kriteria dan dapat diterapkan untuk membantu menyelesaikan permasalahan mengidentifikasi penerima bantuan lansia secara cepat, tepat dan efektif.
Curve Fitting Kurva Tegangan Keluaran Sensor GP2Y0A02YK untuk Unjuk Kerja yang Lebih Akurat Priyanto, Agung; Buntoro Irawan; Titik Rahmawati; Ari Cahyono
Jurnal Teknomatika Vol 17 No 2 (2024): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v17i2.1540

Abstract

Sensors in the internet of things (IoT) and wireless sensor networks (WSN) for various purposes often require recalibration. The datasheet that accompanies the sensor usually displays a table of sensor’s output with minimum, typical and maximum values. This means that there is a tolerance of the values ​​that are still allowed by the manufacturer. For sensors with variable output voltage, it is usually displayed graphically. If the graph is not linear, curve fitting is needed to obtain the curve equation. In this research, curve fitting will be carried out using the least sum of squared errors method using a matrix. The curve equation resulting from curve fitting is needed for data processing or if it is needed to predict fixed variables if the independent variables are known. One of the sensors that has an output voltage curve that is not a straight line is the distance sensor from Sharp, the GP2Y0A02YK series. According to the datasheet, this sensor can be used to measure distances from 20 centimeters to 150 centimeters. The graph of the output voltage measuring distances from 20 cm to 150 cm is in the form of a curved curve. With calibration using curve fitting, it is hoped that the accuracy of sensor measurements and the processing of its output data will increase.
Co-Authors Al Baihaqi, Javier Alfi Sa'diya, Nafisa Ari Cahyono Ari Cahyono Asnawi, Choerun Azzuhry, Dimas Rully Bashir, Sibgha Bayu Saputra, Andika Buntoro Irawan Dina Yulina Heriyani Eka Yulia Sari Fajar Ega Roosdwita, Wenesdy Gilang Prasetyo, Wahyu Haerunnissa , Melia I Nyoman Adi Putra Julia Kurniasih Kasang, Fredimus Kusmendar, Kusmendar Landung Sudarmana, Landung Ma'arif, Muhammad Rifqi Ma'arif, Syamsul Muhammad Rifqi Maarif, Muhammad Rifqi Mukti, Agung Permana Nurul Fatimah Puspitasari, Fransiska Hernina Sakti, Anjasmara Tanjung Subekti, Dayat Sutriyono Titik Aryati Titik Rahmawati V. Reza Bayu Kurniawan Widyawan Yuyung Kusumaningrum, Ferlinda