cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
Telematika : Jurnal Informatika dan Teknologi Informasi
Published by Universitas Pembangunan Nasional Veteran Yogyakarta
ISSN : 1829667X     EISSN : 24609021     DOI : 10.31315
Core Subject : Engineering,
Electrical & Electronics Engineering
Arjuna Subject : -
Articles 361 Documents
 19   20   21   22   23 
Smart Farming Optimization of Phalaenopsis Orchids Growth By Utilizing Fuzzy Logic Control on IoT Architecture Meyti Eka Apriyani; Arief Prasetyo; Nurhidayat Aldila
Telematika Vol 19, No 1 (2022): Edisi Februari 2022
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i1.5445

Abstract

Tujuan: membangun sistem smart farming yang mampu memonitoring dan mengontrol kondisi serta perawatan terhadap tanaman secara otomatis. Penggunaan website sebagai monitoring dan sistem kontrol mikrokontroller secara realtime. Penyajian data dashboard dengan angka, tabel, dan grafik bergerak.Perancangan/metode/pendekatan: metode fuzzy sugenoHasil: sistem dapat bekerja secara otomatis maupun manual. Data yang dibaca dapat tampil secara realtime pada website dashboard. Sistem mampu mengkondisikan greenhouse sesuai dengan kondisi asli dari pembudidaya.Keaslian/ state of the art: penggunaan aplikasi dalam bentuk website yang dibuat sendiri dengan penyajian data-data secara realtime dalam bentuk angka, tabel, maupun grafik bergerak.
Analisis Sentimen Vaksin Covid-19 Menggunakan Algoritma Naive Bayes dan Perbaikan Kata Levenshtein Distance Fahmi Reza Prasastio; Heriyanto Heriyanto; Wilis Kaswidjanti
Telematika Vol 19, No 1 (2022): Edisi Februari 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i1.6577

Abstract

Tujuan: Mengetahui seberapa akurat penggunaan perbaikan kata metode Levenshtein Distance terhadap analisis sentimen vaksin Covid-19 menggunakan metode Naïve Bayes.Perancangan/metode/pendekatan: Menerapkan perbaikan kata Levenshtein Distance untuk preprocessing dan algoritma Naïve Bayes dalam melakukan analisis sentimen komentar masyarakat tentang vaksin Covid-19.Hasil: Dengan diterapkannya perbaikan kata pada dataset yang digunakan dapat meningkatkan akurasi dari model Naïve Bayes yang dibangun. Akurasi pengujian menggunakan data uji lama yang berjumlah 479 data meningkat dari 61% menjadi 71% dan pengujian dengan data uji baru yang berjumlah 100 data akurasi meningkat dari 59% menjadi 66%. Namun untuk klasifikasi data testing baru memperoleh akurasi yang cukup rendah walaupun data yang dites hanya berjumlah 100 data, hal ini disebabkan oleh sistem yang kurang mampu dalam melakukan klasifikasi data baru yang belum pernah dilakukan training sebelumnya.Keaslian/ state of the art: Penelitian ini menggunakan data dengan jumlah 2394 data yang berasal dari komentar akun Instagram Kemenkes RI. Untuk preprocessing dilakukan perbaikan kata dengan algoritma Levenshtein Distance dan untuk analisis komentar menggunakan algoritma Naïve Bayes dengan ekstraksi fitur TF-IDF.
The Development of Social Media Intelligence System for Citizen Opinion and Perception Analysis over Government Policy Muhammad Habibi; Muhammad Rifqi Ma'arif; Dayat Subekti
Telematika Vol 19, No 1 (2022): Edisi Februari 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i1.6447

Abstract

In Indonesia, community involvement in development planning and public policy has generally been carried out but limitedly. Social media uploads regarding public perceptions of policy implementation in the field are valuable input for those who quickly and accurately upload existing problems.The problems that arise from this effort to use social media are 1) how to detect public conversations related to a public policy. 2) Social media data collected extensively and accelerating can be processed quickly to get real-time analysis results. 3) Making the analysis results accessible in an interactive and representative form allows government policymakers to explore appropriate data and information to formulate and formulate public policies.This research produces a social media intelligence platform that can unite public opinion regarding public perceptions of the implementation of policies issued by the government, especially local governments in Indonesia. Based on modeling the topic of Covid-19 vaccination cases, 11 topics of discussion were obtained. While the sentiment analysis results of the 11 issues resulted, topic 6 had the most negative sentiment values regarding the development of Covid-19 vaccination in Indonesia. At the same time, topics with the most positive sentiment values are topic three and topic 10. These topics discuss the vaccination process carried out by health procedures (prokes) and government policies related to COVID-19 vaccination.
Group Decision Support System Using SMART-COPELAND SCORE Model In Choosing The Best Alternative Pair Devi Valentino Waas; Made Dona Wahyu Arsitana; I Putu Hendika Permana; I Komang Wiratama; I Gede Iwan Sudipa
Telematika Vol 19, No 1 (2022): Edisi Februari 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i1.7181

Abstract

Purpose: Adjust the Group Decision Support System (GDSS) model in completing case studies of selecting the best alternative candidate pairs for the OSIS core board with many decision-makers and problems in the differences in the preferences of decision-makers as well as modeling in decision making with multi-criteria and multi-attributes and combining preferences decision-makers to choose the best alternative partner candidate.Design/methodology/approach: The Group Decision Support System (GDSS) model combines the SMART method for modeling multi-criteria and multi-attribute assessments and the Copeland Score model for aggregating the judgments of five decision-makers against the selected pair of OSIS core board candidates using a voting mechanism.Findings/result: The comparison test for the manual calculation of the SMART- Copeland Score Model method with the results of the system calculation is the same. From the ten alternative data in the first stage of the test through the SMART method calculation, it then passes into four alternatives divided into two alternative candidate pairs, namely alternative candidate pairs (A1, A3) and alternative candidate pairs (A2, A4). The second stage test uses calculations Copeland Score voting, which produces the best alternative candidate pair, namely alternative (A1, A3) with a final point score = 4.Originality/value/state of the art: Based on a review of previous research, this study uses line-up criteria, written tests, and interview tests with the SMART method to calculate alternative scores on each criteria, and the Copeland Score model to aggregate decision makers' preferences to produce the best alternative candidate pairs. In calculating the final value of the alternative ranking.
Success Measurement of E-Learning Spada Wimaya at Universitas Pembangunan Nasional “Veteran” Yogyakarta Using Delone and Mclean Model Approach Dona Aryanti; Oliver Samuel Simanjuntak; Juwairiah Juwairiah
Telematika Vol 19, No 1 (2022): Edisi Februari 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i1.7165

Abstract

Purpose: This study aims to measure success and determine the factors that support or hinder the success of the e-learning SPADA Wimaya.Method: This study adapts the development of the DeLone and McLean Model 2003. The data used are primary data obtained from the answers of 387 users of the e-learning SPADA Wimaya Pembangunan Nasional “Veteran” Yogyakarta University as respondents in the distributed questionnaire. The results of the questionnaire were processed using SPSS to test descriptive of the data. After that, the data is processed using Structural Equation Modeling (SEM) for testing the inner model and outer model which includes hypothesis testing through SmartPLS software.Result: Of the nine proposed hypotheses, six were accepted and the other three were rejected. Because not all variables affect each other significantly, the e-learning SPADA Wimaya is declared to have not been successful. The factors that hinder the success of the e-learning SPADA Wimaya are the security indicator on the system quality variable, responsive indicator on the service quality variable and communication effectiveness on the net benefit variable.
COMPARISON OF MAUT METHOD WITH MABAC IN GIVING EMPLOYEES SALARY BONUS AT PT. ARTA JAYA ELECTRIC I Nyoman Tri Anindia Putra; Ketut Sepdyana Kartini; Ni Putu Hanny Wulandari Putri
Telematika Vol 19, No 1 (2022): Edisi Februari 2022
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i1.7174

Abstract

Tujuan: PT. Arta Jaya Elektrik memiliki karyawan yang setiap bulan diberikan gaji dan setiap 6 bulan diberikan bonus gaji. Dalam proses penentuan bonus karyawan masih menggunakan Microsoft Excel sehingga terkadang terjadi kesalahan dalam proses penginputan data yang akan digunakan untuk penilaian karyawan. Selain itu, dikarenakan harus membuat rekapan data penunjang pemberian bonus karyawan.Perancangan/metode/pendekatan: Perancangan sistem dibuat untuk dapat mengelola data karyawan, data kriteria, data sub-kriteria, data penilaian, data perhitungan, dan data hasil akhir. Pendekatan Metode MAUT dan MABAC digunakan karena ingin melakukan perbandingan untuk memilih metode yang paling tepat dan mudah dalam menentukan bonus gaji karyawan. Hasil: Pengujian perhitungan menggunakan MAUT dan MABAC menghasilkan urutan hasil peringkat yang sama. Namun hasil total perhitungan menunjukan jumlah yang berbeda. Keaslian/ state of the art: Berdasarkan penelitian terdahulu, dalam penelitian ini menggunakan kriteria absensi, keterlambatan, lembur, dan kinerja karyawan dalam melakukan perhitungan metode MAUT dan MABAC untuk mencari hasil akhir perangkingan alternatif.
Analysis of the AHP-WP Method in the Decision Support System for the Assessment of Outstanding Students at ITEKES Bali Komang Gde Hendra Kusuma Putra; I Made Candiasa; Gede Indrawan
Telematika Vol 19, No 1 (2022): Edisi Februari 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i1.6878

Abstract

Purpose: This study aims to analyze and determine the effectiveness of the combination of decision-making methods in the selection of outstanding students using the Analytical Hierarchy Process (AHP) and Weighted Product (WP) methods.Design/methodology/approach: A quantitative approach is used to analyze the combination of AHP and WP methods in determining outstanding students. The ranking results were analyzed using Mean Absolute Percentage Error (MAPE).Findings/result: This research produces a combination analysis of the AHP and WP decision-making methods, so that it can be used for implementation into information systems.Originality/value/state of the art: The difference between this study and previous studies is the combination of methods used in this study. An analysis of the effect of several variables in increasing accuracy is also produced.
STMIK PalComTech Customer Service Questionnaire Processing Application Design Atin Triwahyuni; Eka Hartati; Hera Setiawan; Riska Triani
Telematika Vol 19, No 1 (2022): Edisi Februari 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i1.6415

Abstract

Purpose: The focus of this research is to create a Consumer Service Questionnaire Dashboard application that can perform questionnaire data processing, service satisfaction analysis and reporting the results of service improvement recommendations at STMIK PalComTech.Design/methodology/approach: This study uses the Prototype method, where this method can interact with the user during user creation. This method consists of five stages, namely communication, planning quickly, modeling the design quickly, making prototypes, and submitting the system or software to the user or users to be tested using the black box testing method.Findings/result: The results of this study resulted in an application for processing customer service questionnaires from STMIK PalComTech, to simplify and shorten UPT-PM staff in preparing reports on the results of the questionnaire recap, reporting and distributing the results of the questionnaire recap of the Head of UPT-PM.Originality/value/state of the art: The system testing technique used in this study is black box testing, this testing technique focuses on the functional specifications of the software, this test is also used to find errors in the system, for example interface errors, performance errors, incorrect or missing functions.
Perancangan E-Government Pelayanan Pengaduan Dan Penyelesaian Sengketa Lingkungan di Era Kebiasaan Baru Pada Dinas Lingkungan Hidup Kota Makassar Asmah Akhriana; Faizal Faizal; Andi Irmayana
Telematika Vol 19, No 1 (2022): Edisi Februari 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i1.5475

Abstract

At the Environmental Service, there is a PPLH Arrangement and Compliance Division. One of the environmental dispute reporting services is a dispute between two or more parties arising from activities that have the potential and or have an impact on the environment. The environmental complaint and dispute resolution service at the Makassar City Environmental Service have guidelines for verifying disputes involving many aspects of activities and data collection. The background of the research is the community's obstacles in quick access to reporting complaints due to allegations of pollution and or environmental destruction. Another problem is that the Department of the Environment still needs to prepare a verification plan for environmental disputes involving the reporter and related agencies. The impact of the pandemic that cities and even countries have felt makes the problem even more complicated. The research objective is to design an E-Government application for Complaints and Environmental Dispute Resolution Services that can be accessed by the public anytime and anywhere, especially in the era of new habits. The waterfall's system development method starts from system engineering, needs analysis, design, coding, testing and maintenance. Black box testing method for functional testing. The programming language used is the PHP programming language in building environmental dispute verification media and Android-based applications as a complaint medium. The results of this study are that this application can be a medium so that complaints become easier and can neatly document the dispute resolution process.
Text Message Classification using Multiclass Support Vector Machine on Information Service Chatbot in the Informatics Department UPN “Veteran” Yogyakarta Rafly Pradana Putra; Awang Hendrianto Pratomo; Rifki Indra Perwira
Telematika Vol 19, No 3 (2022): Edisi Oktober 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i3.7418

Abstract

Tujuan: Menguji performa dari algoritma Multiclass Support Vector Machine dalam dalam tingkat akurasi, presisi, dan recall untuk melakukan klasifikasi pada pesan teks chatbot.Perancangan/metode/pendekatan: Menggunakan algoritma Multiclass Support Vector Machine untuk melakukan klasifikasi terhadap dataset yang bersifat nonbiner atau dataset yang memiliki lebih dari dua kelas.Hasil: Berdasarkan hasil penelitian dan pembahasan yang dilakukan, Algoritma Multiclass SVM dapat melakukan klasifikasi teks pesan yang dikirimkan dengan baik berdasarkan kategori pesan yang berkaitan dengan informasi yang ada di jurusan informasi, seperti administratif, dokumen, jadwal, kegiatan dan sapaan, dengan menunjukkan nilai akurasi sebesar 87%, nilai presisi sebesar 89% dan nilai recall sebesar 87%. Penelitian ini menggunakan dataset yang berjumlah sebanyak 950 data dengan pembagian data latih sebanyak 75% dari total keseluruhan data dan data uji sebanyak 25% dari total keseluruhan data.Keaslian/ state of the art: Penelitian ini memiliki perbedaan dalam hal jenis data yang digunakan adalah data teks pesan yang terbagi ke dalam 5 kategori, nilai parameter C dan gamma yang digunakan, dan hasil yang diperoleh jika dibandingkan dengan penelitian sebelumnya.

Page 21 of 37 | Total Record : 361

 19   20   21   22   23 

Filter by Year

2010 2025


Reset
Filter By Issues
All Issue Vol 22 No 3 (2025): Edisi Oktober 2025 Vol 22 No 2 (2025): Edisi Juni 2025 Vol 22 No 1 (2025): Edisi Februari 2025 Vol 21 No 3 (2024): Edisi Oktober 2024 Vol 21 No 2 (2024): Edisi Juni 2024 Vol 21 No 1 (2024): Edisi Pertama 2024 Vol 21, No 1 (2024): Edisi Februari 2024 Vol 20 No 3 (2023): Edisi Oktober 2023 Vol 20, No 3 (2023): Edisi Oktober 2023 Vol 20, No 2 (2023): Edisi Juni 2023 Vol 20 No 2 (2023): Edisi Juni 2023 Vol 20 No 1 (2023): Edisi Februari 2023 Vol 20, No 1 (2023): Edisi Februari 2023 Vol 19, No 3 (2022): Edisi Oktober 2022 Vol 19, No 2 (2022): Edisi Juni 2022 Vol 19, No 1 (2022): Edisi Februari 2022 Vol 18, No 3 (2021): Edisi Oktober 2021 Vol 18, No 2 (2021): Edisi Juni 2021 Vol 18, No 1 (2021): Edisi Februari 2021 Vol 17, No 2 (2020): Edisi Oktober 2020 Vol 17, No 1 (2020): Edisi April 2020 Vol 16, No 2 (2019): Edisi Oktober 2019 Vol 16, No 1 (2019): Edisi April 2019 Vol 15, No 2 (2018): Edisi Oktober 2018 Vol 15, No 1 (2018): Edisi April 2018 Vol 14, No 2 (2017): Edisi Oktober 2017 Vol 14, No 1 (2017): Edisi April 2017 Vol 13, No 2 (2016): Edisi Juli 2016 Vol 13, No 1 (2016): Edisi Januari 2016 Vol 12, No 2 (2015): Edisi Juli 2015 Vol 12, No 1 (2015): Edisi Januari 2015 Vol 11, No 1 (2014): Edisi Juli 2014 Vol 10, No 2 (2014): Edisi Januari 2014 Vol 10, No 1 (2013): Juli 2013 Vol 9, No 2 (2013): Edisi Januari 2013 Vol 9, No 1 (2012): Edisi Juli 2012 Vol 8, No 2 (2012): Edisi Januari 2012 Vol 8, No 1 (2011): Edisi Juli 2011 Vol 7, No 2 (2011): Edisi Januari 2011 Vol 7, No 1 (2010): Edisi Juli 2010 Vol 6, No 2 (2010): Edisi Januari 2010 More Issue