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Mobile phones (HP) or smartphones are the most popular communication tools used by the public. Based on interviews with several mobile phone users and technicians, the iPhone is currently one of the best-selling and most prestigious brands. But in reality, the iPhone user community, in general, does not understand the damage that often occurs to HP. This leads users to bring the damaged HP to the service point without knowing in advance what kind of damage occurred to the HP. The study aims to build an app to diagnose damage to web-based iPhone phones. In collecting the data needed for the study, the authors used methods of literature study, interviews, and observation. This web-based iPhone mobile damage diagnostic system application is made using the PHP programming language. The game development stage includes analysis, system design, implementation, and testing. The expert system application to diagnose damage to the web-based iPhone phone that is made can be used to find out the damage to the iPhone phone, before being taken to the service so that users know what damage is repaired. The results of system testing showed that this application is feasible and can be used as a web-based iPhone mobile damage diagnostic system application.

Pandemi Covid-19 merupakan virus yang sudah menyebar ke seluruh dunia. Pemerintah juga telah meminimalisir penyebaran virus dengan melakukan Pembatasan Sosial Berskala Besar (PSBB), penerapan lockdown, larangan mudik saat hari raya idul fitri dan lain sebagainya. Pemerintah juga telah memanfaatkan media sosial sebagai informasi dan pelayanan untuk masyarakat. Pemerintah juga tidak hanya diam ketika banyak dampak negative terhadap masyarakat maka pemerintah mengambil tindakan vaksinasi. Tanggapan masyarakat terhadap vaksinasi cukup menarik dan beragam di Instagram baik positif maupun negatif. Maka penelitian ini bertujuan untuk manganalisis sentimen terhadap vaksinasi pandemic Covid-19 menggunakan metode naïve bayes. Berdasarkan hasil pengujian analisis sentimen pengguna Instagram vaksinasi dengan tokenisasi Quadgram mendapatkan nilai akurasi sebesar 75,9124 %.

TK Aisyiyah Bustanul Athfal (ABA) An-Nur Sidorejo Cabang Kasihan, Bantul merupakan Taman Kanak-kanak berbasis Islam yang mengedepankan Akhlaqul Karimah kepada siswa didiknya. TK ini sudah terakreditasi A dan memiliki guru-guru yang kompeten dalam mendidik anak dari usia Dini. Promosi yang dilakukan oleh TK ABA An-Nur masih bersifat konvensional dan sangat minim sekali dalam penggunakan internet sebagai media promosi TK ABA An-Nur. Dalam pengabdian yang dilakukan, dilakukan pengembangan dan pendampingan website di TK ABA An-Nur sebagai sarana promosi. Para guru didampingi dalam penggunaan website tersebut, dari mulai login, menambah user, menambah informasi, menyunting informasi, menghapus informasi, dan sharing informasi di media social. Dengan menggunakan website sebagai media promosi TK ABA An-Nur, diharapkan dapat memberikan informasi yang lebih luas kepada para orang tua calon siswa TK ABA An-Nur, sehingga lebih yakin dan mantab dalam menitipkan anaknya untuk dididik di TK ABA An-Nur. Selain itu dapat membantu dalam mempromosikan TK ABA An-Nur secara luas kepada masyarakat dengan bantuan media informasi berupa Website.

Bank Rakyat Indonesia (BRI) is one of the largest state-owned banks in Indonesia. It has prompted both local and foreign investors to buy shares in the largest bank in the country. Reading stock price trends is very important for investors to buy or sell the shares they own. The method usually used by investors is fundamental analysis and technical analysis. Analysis by reading financial reports is quite complicated and requires high accuracy. Besides that, it takes much time because of the large amount of data available. A banking stock price prediction can be a solution to make it easier for investors to read stock price movements. In this study, the authors will design a web-based system to predict banking stock prices using the Naïve Bayes method. This system can provide investors with ease and effectiveness in reading stock price movements.

Correspondence management at Universitas PGRI Yogyakarta (UPY) is still managed manually. When a student needs a letter from UPY, he or she must come directly to the Faculty admin. Students are required to write down the type of letter needed and their personal data. After that the letter will be signed by the dean of the faculty. This process takes a long time, especially when the faculty dean has a busy agenda or is not in place. This article develop a web-based Information System for PGRI Yogyakarta University. Scrum is a method to developing this system, which only need 1 month to finish this system, which faster and more effectife than conventional method. By Using conventional method, usually to develop system in University need minimum 6 months, it means Scrum 6 times faster than conventional Method. Based on the survey result of 30 respondents regarding the application, 73% having easy navigation, regarding whether the speed of application access 70% agree this system is relatively fast, regarding whether the features of the complete system 53% agree this system is very fast.

The number of available job portals causes abundant information. Therefore, a system of recommendations is needed by job seekers to find jobs that fit their profile. Offering job vacancies on job portals are changing every time because there are always additional job search data and job opening data. Multi-agents system is a technology that can be used to handle information changes. This article proposed a recommendation system is expected to help job seekers to get jobs in accordance with the field of science they have. The system will monitor what work is offered by online job portals. From the results of observations, the job content offered will be used as a reference so that if new content is entered, the agent will automatically provide input to the job seeker. Based on the results of the implementation of the recommendation system using a multi-agent system can provide search results that are in accordance with what is inputted by the user based on the profile they have. These search results can recommend jobs that match the job seeker profile.

One of the labor problems in Indonesia is the occurrence of mismatch (incompatibility between education and job). The incompatibility of education and job (labor market) can be categorized into several criteria such as vertical mismatch, horizontal mismatch, overqualification, under qualification, over skilling, under skilling, credentialism and economic skills. In several countries, analysis of mismatch between education and labor market can be used with several methods such as the Maximum Likelihood equation, the Mincer-type income equation, and the use of clustering algorithms in data mining. Indonesia can adopt a method of measuring the mismatch between education and labor market which suitable with the condition in Indonesia. The use of the K-Means algorithm or the hierarchical clustering algorithm will be able to see how much mismatch is occurring in Indonesia. Clustering is carried out referring to the Republic of Indonesia’s Presidential Regulation No. 8/2012 and the Indonesian Classification of Work (KBJI).

This research aims to develop an Information System thesis’s administration that efficient and effective supported by computerized administration system or on-line system. The subject of this research is Universitas PGRI Yogyakarta which have 13 study programs. Mobile web can use in the thesis’s administration system. It can facilitate the management of required letters and essay recap. This system can also browse the titles of the thesis that has been created so as to reduce duplicate titles of the thesis. This study concludes that the use of thesis administrative systems can facilitate and accelerate the management of the required letters. It also can sorting titles of the essay that has been taken so as to avoid duplication. Based on black box testing, it is found that the whole function has been run well, the functions tested include: (1) User Verification (2) Data Management (3) Information and reporting. 3) Based on the alpha test it can be seen that the system developed in usability is considered good, the assessment aspect includes: ease of use, ease of navigation, access speed, completeness of features and attractive appearance.