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Design of Automatic Carriage Doorstop With Arduino: Design of Automatic Carriage Doorstop With Arduino Resa Wahyu Adi Pujianto; Septi Andryana; Ira Diana Sholihati
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The train is a means of transportation that is still in demand by most of the population of Indonesia at this time. But the contribution of the railway itself to national transportation is still very low, accidents because this transportation often occurs because there is still insufficient infrastructure and facilities. Accidents due to trains in general often occur at the doorway of railway crossing this can be caused by the negligence of the officers or attitudes of the other riders who are still very undisciplined. Thus the author finds an idea or idea to create an automatic doorway system. The design in this prototype is by using the pro-tower servo motor, project Board Mini, and the SR-04 ultrasonic sensor, which will be processed with the Arduino UNO microcontroller.
Accuracy Analysis of Community Satisfaction in Population Administration Services Using the C4.5 Algorithm and Naïve Bayes Method: Accuracy Analysis of Community Satisfaction in Population Administration Services Using the C4.5 Algorithm and Naïve Bayes Method Muhammad Andhika Maulana; Agung Triayudi; Ira Diana Sholihati
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The Directorate General of Population and Civil Registration needs indicators for benchmarks in improving the quality of services for the community, one of which is conducting a survey of community satisfaction by using several attributes including requirements, mechanisms, completion times, product specifications, officer competencies, officer attitudes, reporting and advice as well as facilities and infrastructure where the satisfaction results can be classified using data mining. In this study, the authors tested two data mining classification methods, namely the C4.5 Algorithm method and the Naïve Bayes method using RapidMiner software. From the test method, the accuracy of 88.00% was obtained using the Naïve Bayes method and the C4.5 algorithm was obtained with an accuracy of 80.40%.
Perancangan User Experience Aplikasi Pendaftaran Kunjungan Puskesmas Menggunakan Metode User Experience Lifecycle Sita Widad Muqsithoh; Septi Andryana; Ira Diana Sholihati
SMATIKA JURNAL Vol 12 No 01 (2022): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v12i01.583

Abstract

The health sector is one of the important sectors of the government which has the potential to be improved by the presence of information technology. The public health center of East Ciputat District, which is one of the health service centers in the South Tangerang City, always improves the technology development. The large number of patient visits it causes problems with queuing visits which take a relatively long time when registering at the service counter. The advantage of the User Experience Lifecycle method that is applied to the development process of the mobile public health center visit online registration application starts from the analysis stage that understands user needs through the data collection method. The design stage involves making Wireframe. The design results are implemented in the form of a mobile based High-Fidelity Prototype and the results are tested using the System Usability Scale (SUS). The prototype evaluation can show the overall results of the application successfully helping users in the efficiency of online registration visitors.
Analisa Interaksi Pengguna Media Sosial Perusahaan Sekuritas di Indonesia Saat Covid-19 menggunakan Social Network Analysis (Studi Kasus: Indopremier dan Bursa Efek Indonesia) Della Diniyati; Agung Triayudi; Ira Diana Sholihati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 1 (2021): JANUARI-MARET 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i1.166

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The development of information technology, especially social media users, is increasing. Many securities companies make use of technology so that users can make various transactions and search for information digitally. This can be used in online marketing strategies and information dissemination, one of which is Twitter. Users can disclose known information and this information is User Generated Content (UGC), which is the track record left behind. Twitter user interaction analysis can provide information that supports various business decisions, such as customer engagement. This research takes advantage of the Covid-19 phenomenon in which the stock market has experienced a global downturn. The purpose of this study is to determine the level of awareness and identify customer engagement from the results of the implementation of Social Customer Relationship Management (SCRM) by the company. This study uses the Social Network Analysis (SNA) method, with secondary data in the form of tweets of Twitter user interactions regarding 2 securities companies, IndoPremier, and the Indonesia Stock Exchange. The result is that IndoPremier is a securities company that is superior in informing optimal customer engagement through the implementation of SCRM.
Pemilihan Tema Tugas Akhir Prodi Sistem Informasi Menggunakan Kolaborasi Metode Analytic Hierarchy Process (AHP), Simple Additive Weighting (SAW), dan SMART Aditya Pratama; Septi Andryana; Ira Diana Sholihati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 2 (2021): April-Juni
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i2.178

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Completing the final project is a graduation requirements for a student to do. Many students take final project but don't have a theme for that. There are also students who take the theme of their final project but they are not in line with grades and abilities. On this issue, a research will be assist the National University Information System students in choosing theme of their final project which is processed using collaborative method of Analytical Hierarchy Process, Simple Additive Weighting, and Simple Multi-Attribute Rating Technique. This research begins by determining the criterion value of each student which calculated using SAW method for weight grades and SMART method for weight of ability, then looking for alternative values for each theme of the final project using the AHP method, the ranking process is carried out the multiplication matrix between the criteria and alternative which will produce optimal final project theme.
Perbandingan Metode Weighted Product (WP) dan Simple Additive Weighting (SAW) terhadap Sistem Pendukung Keputusan Rekomendasi Calon Paskibraka Riska Setiawati; Agung Triayudi; Ira Diana Sholihati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.181

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Paskibraka Selection is an activity held annually with the aim of finding the best boys and girls who will later be assigned to rise the duplicate heirloom flags in the Indonesian independence ceremony. In some areas, Paskibraka selection still uses excel calculations and other manual calculations. This manual calculation certainly takes longer and the results can be less accurate. Therefore, a decision support system application was made using the Weighted Product (WP) and Simple Additive Weighting (SAW) methods which can provide the final value of the selection assessment according to predetermined criteria and weights. The results of these two methods will be compared in order to get the best results. The results of this application are in the form of a ranking of participants based on their district.
Analisa Perbandingan Metode MOORA, Promethee, dan Weighted product dalam Penentuan Lokasi Usaha Tika Aenun Nadila; Septi Andryana; Ira Diana Sholihati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.185

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In building a business, there are many aspects that need to be considered in choosing the right business location,  to minimize costs while still providing quality space to provide long-term benefits This research uses the Moora (Multi-objective optimize on the basis of ratio analysis) method, Promethee (Preference ranking organization method for enrichment evaluation), and Weighted product. These three methods were analyzed by manual calculation, then comparisons were made based on the effectiveness in processing the data and the level of conformity. The results showed that the suitability level of the weighted product method was higher with a value of 99.99857%, followed by MOORA 99.99779% and Promethee 99.99679%. Weighted products also have a fast and effective process stage, so this method is the method used in implementing web-based business location decision support systems . The results of manual and system calculations on weighted products also have the same results, namely the HI shop alternative with a value of 0.189 as the highest alternative.
Implementasi Sistem Pakar untuk Mendeteksi Virus Covid-19 dengan Perbandingan Metode Naïve Bayes dan Certainty Factor Rio Al Dzahabi Yunas; Agung Triayudi; Ira Diana Sholihati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.221

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The Covid -19 virus spread in the world, especially in Indonesia, very fast. This epidemic is of concern around the world because it has a quite bad impact in various sectors. With existing technological advances, the Expert System can assist medical personnel in detecting the Covid -19 Virus. The purpose of the author in conducting the study was to detect the Covid-19 virus as easily as possible with symptom data obtained from patients who had consultations. The Naïve Bayes method is a method that uses probability and statistics that can predict a person's chance of being exposed to Covid-19 in the future based on symptoms experienced in the previous period packed with a web-based program. For comparison, the author uses the Certainty Factor Method. Certainty Factor is a method that aims to determine the certainty value which is based on the previous calculation of CF value by manual calculation. The Naïve Bayes method can group the symptoms obtained from the official WHO website which has been given an indicator of the percentage of someone exposed to the Covid-19 Virus based on the symptom data experienced to determine a person exposed to the Covid-19 Virus. While the Certainty Factor method gets the confidence of someone exposed to the symptoms of the Covid-19 virus by using the calculation indicator on the CF value that has been consulted by the user, which can provide a percentage level of confidence that is 86%.
Sistem Informasi Administrasi Kemahasiswaan dan Alumni (Smart Adma) dengan Metode Extreme Programming (XP) Mohammad Iwan Wahyuddin; Rima Tamara Aldisa; Fauziah Fauziah; Ira Diana Sholihati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 4 (2021): OCTOBER-DECEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i4.256

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The purpose of this research is to develop a website-based system to facilitate the academic administration of student affairs at the Faculty of Information Communication Technology, Universitas Nasional in providing various student information ranging from information on association activities, scholarships, competitions, achievements achieved by FTKI (SI-TI) students. and helping FTKI students and graduates to find updated information about job vacancies related to information technology. This study will develop an administrative information system for student affairs with the Extreme Programming method, an Agile Development Method. will include FTKI students and graduates as users. The results of research from the Student and Alumni Administration Information System (Smart Adma) can provide time efficiency in administrative management, make it easier for students to get information from association activities, proposals, requests for funds to submission forms and internship assessments, as well as alternative media during the Covid 19 Pandemic.
Analisa Data API Pasien Covid-19 di Dunia menggunakan Power BI Achmad Syirod; Agung Triayudi; Ira Diana Sholihati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 1 (2022): JANUARY-MARCH 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.386

Abstract

Passing a year since the start of the Covid-19 pandemic, it has taken many lives and changed the way humans interact and navigate the world. Although the use of vaccines is implemented, the number of victims continues to grow in the world. Information about Covid-19 data is spread in every country, so there is a need for a place to view the data quickly, accurately, and flexibly between applications. By using the API method or Application Programming Interface, the data can be obtained via the internet. At this stage, the research is carried out through system planning, data collection, and data analysis. From the results of the research, it is known that Power BI is able to pull and process the Covid-19 API data into various kinds of graphs. Then from the results of these graphs, it can be concluded that for the total cases, the total recoveries and the total deaths were held by the USA (United States). For the highest total new cases by the state of India. Then for the highest percentage of the total cases by continent held by the Asian continent.