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All Journal Jurnal Dinamika Informatika (JDI) Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK)
Sidik Praptomo
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Library & Information Science Social Sciences Other

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Algoritma A* Pencocokan Peta untuk Pencarian Tempat Pengelolah Sampah Terdekat Ramanda, Febri; Sidik Praptomo; M. Ari Prayogo
Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Vol. 2 No. 2 (2024): JURNAL PENGEMBANGAN TEKNOLOGI INFORMASI DAN KOMUNIAKSI (JUPTIK)
Publisher : Prodi Teknologi Informasi Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/juptik.v2i2.2510

Abstract

Public waste disposal sites (TPU) are a basic need for the community in managing household waste disposal. In a clean environment, a prerequisite for creating peace of mind, waste management is a problem that makes the environment unclean and beautiful. According to Law No. 18 of 2008, waste management is a systematic, comprehensive and sustainable activity that includes waste reduction and handling. One solution in waste management is a waste bank or public waste disposal site in the city of Muara Bungo which is socialized by the Environmental Service of Bungo Regency regarding environmental problems and city greening programs. TPU services offer services to manage waste and provide waste disposal points, all household waste can be processed properly so that the location of the TPU is known. Determination of a good location point so that consumers feel faster in determining the location of the TP disposal. The data collection method is carried out using the A* algorithm method which is more optimal when compared to Ant Colony, but the map matching method can depict the route into a map. This research is designed to create a shortest route search system with the A* algorithm and map matching, helping people find the shortest route to dispose of household products. The A* algorithm has very easy steps to apply to the system and is fast, from the results of the validation test of the shortest route search for the nearest TPU so that the A* algorithm system can be implemented and become a solution in finding the shortest route.  
PERAN GAMIFIKASI DALAM MENINGKATKAN PENGALAMAN PENDIDIKAN DI ERA DIGITAL Sidik Praptomo; Hizkia Hendra Rianingsih; Suryanto; Aldina Kusuma Dewi
Scientica: Jurnal Ilmiah Sains dan Teknologi Vol. 2 No. 1 (2024): Scientica: Jurnal Ilmiah Sains dan Teknologi
Publisher : Komunitas Menulis dan Meneliti (Kolibi)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.572349/scientica.v2i1.761

Abstract

Abstrak Pendidikan di era digital menghadapi tantangan baru dalam menjaga keterlibatan dan motivasi siswa. Artikel ini membahas peran penting gamifikasi sebagai alat inovatif untuk meningkatkan pengalaman pendidikan di era digital. Gamifikasi mengintegrasikan elemen-elemen permainan ke dalam konteks pembelajaran, menciptakan lingkungan yang lebih dinamis dan interaktif. Dalam konteks pendidikan digital, gamifikasi dapat memotivasi siswa melalui pemberian tantangan, poin, dan penghargaan. Ini memberikan dorongan ekstra untuk mencapai tujuan pembelajaran dan mengatasi kebosanan yang mungkin muncul dalam pembelajaran online. Dengan menyajikan materi pembelajaran dalam bentuk yang menarik dan bersifat kompetitif, gamifikasi menciptakan pengalaman belajar yang lebih menyenangkan. Artikel ini juga membahas dampak positif gamifikasi terhadap perkembangan keterampilan kritis, pemecahan masalah, dan kerjasama tim. Melalui simulasi dan tantangan berbasis permainan, siswa dapat mengembangkan keterampilan yang relevan dengan kebutuhan dunia nyata. Selain itu, elemen kompetitif dalam gamifikasi dapat merangsang kerjasama antar siswa dalam mencapai tujuan bersama. Pentingnya adaptasi teknologi dalam pendidikan di era digital membuat gamifikasi menjadi strategi yang relevan dan efektif. Meskipun demikian, artikel ini juga menyentuh beberapa tantangan dan pertimbangan etis terkait dengan penggunaan gamifikasi dalam pendidikan. Dengan pemahaman yang cermat, pengintegrasian gamifikasi dapat menjadi inovasi penting dalam membentuk masa depan pendidikan yang lebih menarik dan efektif di era digital.
Menganalisis Sentimen Ulasan i.Saku E-Wallet Play Store Menggunakan Support Vector Machine Suryanto; Sidik Praptomo
Jurnal Dinamika Informatika Vol. 14 No. 2 (2025): Vol. 14 No. 2 (2025)
Publisher : Program Studi Informatika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jdi.v14i2.402

Abstract

The digital era has transformed lifestyles, with people increasingly relying on electronic devices as tools for everyday life. Technology simplifies various activities by streamlining data and information processing. The growing demand for data has driven the development of new technologies to process information quickly. Technological advancements have improved transportation, access to information, education, and the convenience of online transactions, particularly through digital wallets or e-wallets. Digital financial services, including e-wallets, facilitate easy transactions using e-wallet funds. The primary reason for their use is the convenience of electronic wallets, which eliminate the need for cash and simplify transactions for both buyers and sellers. The case of i.Saku demonstrates its popularity, with over 5 million downloads on the Google Play Store since 2017. Google's digital platform, Google Play Store, includes user reviews as a valid source of information. Nearly 50% of internet users rely on recommendations from other users before using a product. Google Play Store reviews influence the decisions of potential users, but managing them manually is not easy. Sentiment analysis, or opinion mining, is the study of opinions, behaviors, and feelings of individuals towards an entity and is crucial for understanding user reviews. In the context of i.Saku, this research focuses on sentiment analysis of Google Play Store reviews using support vector machine techniques. The study outlines the stages from preprocessing to sentiment analysis, highlighting the complexity and benefits of technology-based sentiment analysis.
Algoritma A* Pencocokan Peta untuk Pencarian Tempat Pengelolah Sampah Terdekat Ramanda, Febri; Sidik Praptomo; M. Ari Prayogo
Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Vol. 2 No. 2 (2024): JURNAL PENGEMBANGAN TEKNOLOGI INFORMASI DAN KOMUNIAKSI (JUPTIK)
Publisher : Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/juptik.v2i2.2510

Abstract

Public waste disposal sites (TPU) are a basic need for the community in managing household waste disposal. In a clean environment, a prerequisite for creating peace of mind, waste management is a problem that makes the environment unclean and beautiful. According to Law No. 18 of 2008, waste management is a systematic, comprehensive and sustainable activity that includes waste reduction and handling. One solution in waste management is a waste bank or public waste disposal site in the city of Muara Bungo which is socialized by the Environmental Service of Bungo Regency regarding environmental problems and city greening programs. TPU services offer services to manage waste and provide waste disposal points, all household waste can be processed properly so that the location of the TPU is known. Determination of a good location point so that consumers feel faster in determining the location of the TP disposal. The data collection method is carried out using the A* algorithm method which is more optimal when compared to Ant Colony, but the map matching method can depict the route into a map. This research is designed to create a shortest route search system with the A* algorithm and map matching, helping people find the shortest route to dispose of household products. The A* algorithm has very easy steps to apply to the system and is fast, from the results of the validation test of the shortest route search for the nearest TPU so that the A* algorithm system can be implemented and become a solution in finding the shortest route.  
Co-Authors Aldina Kusuma Dewi Hizkia Hendra Rianingsih M. Ari Prayogo Ramanda, Febri Suryanto