[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"ssr-repo-dspace000002759":3},{"id":4,"title":5,"authors":6,"files":8,"advisors":53,"authors_detail":54,"advisors_detail":58,"publisher":59,"publish_place":60,"language":61,"type":62,"type_slug":63,"year":64,"department":65,"study_program":66,"keywords":67,"keywords_detail":78,"abstract":99,"abstract_html":100,"url":101},"repo-dspace000002759","Applying Design Thinking Methodology for The Design of a Responsive Web Platform for Data Monitoring in Brown Sugar Factory",[7],"Muhammad Adhika Isa Nugraha",[9,14,17,20,23,26,29,32,35,38,41,44,47,50],{"chapter":10,"requires_login":11,"label":12,"available":13},"abstrak",false,"Abstrak",true,{"chapter":15,"requires_login":11,"label":16,"available":11},"pendahuluan","Pendahuluan",{"chapter":18,"requires_login":11,"label":19,"available":13},"bab1","Bab I",{"chapter":21,"requires_login":11,"label":22,"available":13},"bab2","Bab II",{"chapter":24,"requires_login":13,"label":25,"available":13},"bab3","Bab III",{"chapter":27,"requires_login":13,"label":28,"available":13},"bab4","Bab IV",{"chapter":30,"requires_login":13,"label":31,"available":13},"bab5","Bab V",{"chapter":33,"requires_login":13,"label":34,"available":11},"bab6","Bab VI",{"chapter":36,"requires_login":13,"label":37,"available":11},"bab7","Bab VII",{"chapter":39,"requires_login":11,"label":40,"available":11},"daftar_pustaka","Daftar Pustaka",{"chapter":42,"requires_login":13,"label":43,"available":11},"lampiran","Lampiran",{"chapter":45,"requires_login":13,"label":46,"available":11},"jurnal","Jurnal",{"chapter":48,"requires_login":11,"label":49,"available":13},"open","Akses Terbuka",{"chapter":51,"requires_login":13,"label":52,"available":13},"full","Dokumen Lengkap",[],[55],{"name":7,"nim":56,"slug":57},"2141720267","muhammad-adhika-isa-nugraha",[],"Politeknik Negeri Malang","Malang","Inggris","Skripsi (D4)","skripsi-d4",2025,"D-IV TEKNIK INFORMATIKA",null,[68,69,70,71,72,73,74,75,76,77],"Design Thinking","Information System","Responsive Web","Data Recording","Operational Efficiency","Prototype","User Experience","Digitalization","Brown Sugar Factory","IoT",[79,81,83,85,87,89,91,93,95,97],{"name":68,"slug":80},"design-thinking",{"name":69,"slug":82},"information-system",{"name":70,"slug":84},"responsive-web",{"name":71,"slug":86},"data-recording",{"name":72,"slug":88},"operational-efficiency",{"name":73,"slug":90},"prototype",{"name":74,"slug":92},"user-experience",{"name":75,"slug":94},"digitalization",{"name":76,"slug":96},"brown-sugar-factory",{"name":77,"slug":98},"iot","The brown sugar factory industry faces challenges in manual data recording, leading to errors, inefficiency, and delays in reporting. This research aims to design a responsive web platform prototype to improve the efficiency of production data recording using the Design Thinking methodology. The study addresses two research problems: how to record production data accurately and integrally, and how the prototype fulfills the user needs and enhance data recording efficiency. The methodology follows five stages: empathize, define, ideate, prototype, and test. Data collection was conducted through field observations and interviews with operational staff and management. The findings show that the web platform prototype improves data accuracy, real-time accessibility, and reporting efficiency. In conclusion, the responsive, user-centered web technology enhances operational efficiency in brown sugar factories, offering a foundation for digital transformation in agriculture. Future research can integrate IoT sensors for real-time monitoring and predictive analytics for production planning.","\u003Cp>The brown sugar factory industry faces challenges in manual data recording, leading to errors, inefficiency, and delays in reporting. This research aims to design a responsive web platform prototype to improve the efficiency of production data recording using the Design Thinking methodology. The study addresses two research problems: how to record production data accurately and integrally, and how the prototype fulfills the user needs and enhance data recording efficiency. The methodology follows five stages: empathize, define, ideate, prototype, and test. Data collection was conducted through field observations and interviews with operational staff and management. The findings show that the web platform prototype improves data accuracy, real-time accessibility, and reporting efficiency. In conclusion, the responsive, user-centered web technology enhances operational efficiency in brown sugar factories, offering a foundation for digital transformation in agriculture. Future research can integrate IoT sensors for real-time monitoring and predictive analytics for production planning.\u003C\u002Fp>","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000002759&year=2025&title=applying-design-thinking-methodology-for-the-design-of-a-responsive-web-platform-for-data-monitoring-in-brown-sugar-factory"]