[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118907-id":3,"doc-seo-118907-113":31,"detail-sidebar-cat-0-id-113":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},118907,962084925782,"Ava Thompson","https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc",52,"Teknologi","TRANSFORMASI DIGITAL DALAM INDUSTRI KERAJINAN RUMAHAN MELALUI PENGGUNAAN TEKNOLOGI MACHINE LEARNING - Pendekatan pengabdian dan pelatihan","Transformasi digital ditujukan untuk mengatasi kendala utama industri rumah tangga dalam pengumpulan serta pengolahan data yang masih dilakukan secara konvensional dan manual. Program pengabdian diarahkan pada usaha sablon “Kamar Gelap” yang mengalami hambatan analisis data penjualan karena keterbatasan teknologi. Kegiatan mencakup identifikasi kebutuhan mitra, perencanaan program, pelaksanaan sosialisasi dan pelatihan digital marketing serta machine learning, serta evaluasi hasil. Hasilnya berupa peningkatan kemampuan analisis data, penguasaan teknologi informasi, strategi pemasaran, dan terbentuknya sistem informasi penjualan serta sistem prediksi penjualan berbasis transaksi.","TRANSFORMASI DIGITAL DALAM INDUSTRI KERAJINAN RUMAHAN MELALUI PENGGUNAAN TEKNOLOGI MACHINE LEARNING  \nJeffry 1*, Nurdyansa2, Syahrul Usman3, Dhilan Sasmita4, Muhammad Nur Arafah5  \n1,2,4,5Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pancasakti Makassar, Indonesia  \n3Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Pancasakti Makassar, Indonesia [jeffry@unpacti.ac.id](jeffry@unpacti.ac.id1)[1](jeffry@unpacti.ac.id1), [Nurdyansa@gmail.com](Nurdyansa@gmail.com2)[2](Nurdyansa@gmail.com2), [syahrul.usman@unpacti.ac.id](syahrul.usman@unpacti.ac.id3)[3](syahrul.usman@unpacti.ac.id3),  \n[dhilansasmita@gmail.com](dhilansasmita@gmail.com4)[4](dhilansasmita@gmail.com4), [arafaharmys@gmail.com](arafaharmys@gmail.com5)[5](arafaharmys@gmail.com5)  \n\n| ABSTRAK |  |  |\n| --- | --- | --- |\n| Abstrak: Salah satu masalah mendasar yang dihadapi oleh Industri Rumah Tangga adalah pengumpulan dan pengolahan data yang masih dilakukan secara konvensional atau manual. Dalam dunia bisnis modern, analisis data adalah kunci untuk memahami tren penjualan dan preferensi pelanggan. Pengabdian kepada masyarakat ini bertujuan untuk mengatasi masalahketidaktersediaan teknologi dalam usaha sablon \"Kamar Gelap,\" yang menghambat analisis data penjualan dengan memberikan pemahaman kepada mitra tentang penggunaan digital marketing dan machine learning. Pendekatan pengabdian melibatkan identifikasi kebutuhan mitra, perencanaan program, pelaksanaan kegiatan, dan evaluasi hasil. Metode yang digunakan padakegiatan ini adalah metode sosialisasi dan pelatihan tentang digital marketing dan machine learning. Usaha \"Kamar Gelap Screen Printing\" menjadi mitra dalam pengabdian ini, dengan partisipasi sebanyak 14 peserta. Evaluasi menunjukkan peningkatan signifikan dalam kemampuan analisis data, penguasaan teknologi informasi, dan strategi pemasaran peserta. Hasilnya meliputipembuatan sistem informasi penjualan dan sistem prediksi penjualan berdasarkan data transaksi. Penilaian menunjukkan peningkatan pemahaman mitra: transformasi digital meningkat 29%, konsep machine learning naik 56%, relevansi teknologi machine learning meningkat 86%, dan pemahaman tentang dampak transformasi digital terhadap efisiensi produksi meningkat 7% .\u003Cbr>Kata Kunci: Transformasi Digital; Machine Learning; Forecasting.\u003Cbr>Abstract: One fundamental challenge faced by Household Industries is the conventional and manual collection and processing of data. In the modern business world, data analysis is key to understanding sales trends and customer preferences. This community engagement aims to address the issue of technology unavailability in the \"Kamar Gelap\"screen printing business, which hampers sales data analysis, by providing understanding to partners about digital marketing and machine learning usage. The approach involves identifying partner needs, program planning, activity implementation, and results evaluation. The methods employed in this initiative include socialization and training on digital marketing and machine learning. \"Kamar Gelap Screen Printing\" business is the partner in this engagement, with the participation of 14 attendees. The evaluation demonstrates a significant improvement in participants' data analysis skills, IT proficiency, and marketing strategies. The outcomes include the development of a sales information system and a sales prediction system based on transactional data. The assessment indicates an enhancement in partner understanding: a 29% increase in digital transformation comprehension, a 56% rise in machine learning concept awareness, an 86% increase in the relevance of machine learning technology, and a 7% improvement in understanding the impact of digital transformation on production efficiency.\u003Cbr>Keywords: Digital Transformation; Machine Learning; Forecasting. |  |  |\n|  | Article History:\u003Cbr>Received: 23-09-2023\u003Cbr>Revised : 17-10-2023\u003Cbr>Accepted: 06-11-2023\u003Cbr>Online : 01-12-2023 | \u003Cbr>This is an open access article under the CC–BY-SA license ","cbCaitCwwD1SLckQ","https://ap.wps.com/l/cbCaitCwwD1SLckQ","pdf",374922,3,1,10,"Indonesian","id",113,"# Latar Belakang\n## Gambaran Usaha Screen Printing/Sablon Manual\n## Permasalahan Pengumpulan dan Pengolahan Data Secara Manual\n## Kebutuhan Analisis Data untuk Mendukung Keputusan Bisnis\n# Pendekatan Kegiatan\n## Identifikasi Kebutuhan Mitra\n## Perencanaan Program dan Pelaksanaan Sosialisasi\n## Pelatihan Digital Marketing dan Machine Learning\n## Evaluasi dan Hasil","[{\"question\":\"Apa masalah utama yang dihadapi industri rumah tangga pada kegiatan ini?\",\"answer\":\"Masalah utamanya adalah pengumpulan dan pengolahan data yang masih dilakukan secara konvensional atau manual, sehingga rentan kesalahan serta menghambat efisiensi operasional dan respons terhadap tren pasar.\"},{\"question\":\"Bagaimana kegiatan PKM dilaksanakan untuk mitra “Kamar Gelap”?\",\"answer\":\"Kegiatan dilakukan melalui identifikasi kebutuhan mitra, perencanaan program, lalu sosialisasi dan pelatihan tentang digital marketing serta machine learning, diikuti evaluasi hasil.\"},{\"question\":\"Apa output yang dihasilkan dari penerapan machine learning pada usaha mitra?\",\"answer\":\"Terbentuknya sistem informasi penjualan dan sistem prediksi penjualan berdasarkan data transaksi, yang mendukung analisis dan pengambilan keputusan.\"}]","TRANSFORMASI DIGITAL DALAM INDUSTRI KERAJINAN RUMAHAN MELALUI PENGGUNAAN TEKNOLOGI MACHINE LEARNING - Pendekatan pengabdian dan pelatihan | PDF",1785720904,15,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":29},"digital-transformation-in-home-based-craft-industries-through-machine-learning-technology-community-service-approach-and-training","",{"@graph":37,"@context":86},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,51],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/id/document/","Document",2,{"item":50,"name":12,"@type":44,"position":20},"https://docshare.wps.com/id/document/teknologi/",{"item":52,"name":13,"@type":44,"position":53},"https://docshare.wps.com/id/document/digital-transformation-in-home-based-craft-industries-through-machine-learning-technology-community-service-approach-and-training/118907/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-15","2026-08-03",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"Apa masalah utama yang dihadapi industri rumah tangga pada kegiatan ini?","Question",{"text":76,"@type":77},"Masalah utamanya adalah pengumpulan dan pengolahan data yang masih dilakukan secara konvensional atau manual, sehingga rentan kesalahan serta menghambat efisiensi operasional dan respons terhadap tren pasar.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"Bagaimana kegiatan PKM dilaksanakan untuk mitra “Kamar Gelap”?",{"text":81,"@type":77},"Kegiatan dilakukan melalui identifikasi kebutuhan mitra, perencanaan program, lalu sosialisasi dan pelatihan tentang digital marketing serta machine learning, diikuti evaluasi hasil.",{"name":83,"@type":74,"acceptedAnswer":84},"Apa output yang dihasilkan dari penerapan machine learning pada usaha mitra?",{"text":85,"@type":77},"Terbentuknya sistem informasi penjualan dan sistem prediksi penjualan berdasarkan data transaksi, yang mendukung analisis dan pengambilan keputusan.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":93},[94,99,103,107,111,115,119,123,125,129,133],{"id":95,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},55,"Agama & Spiritualitas",60,"religion-spirituality",{"id":100,"doc_module":4,"doc_module_name":47,"category_name":101,"show_sort_weight":97,"slug":102},48,"Cerita & Novel","story-novel",{"id":104,"doc_module":4,"doc_module_name":47,"category_name":105,"show_sort_weight":97,"slug":106},56,"Gaya Hidup","lifestyle",{"id":108,"doc_module":4,"doc_module_name":47,"category_name":109,"show_sort_weight":97,"slug":110},51,"Komik","comic",{"id":112,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":97,"slug":114},53,"Layanan Kesehatan","healthcare",{"id":116,"doc_module":4,"doc_module_name":47,"category_name":117,"show_sort_weight":97,"slug":118},54,"Penelitian & Laporan","research-report",{"id":120,"doc_module":4,"doc_module_name":47,"category_name":121,"show_sort_weight":97,"slug":122},49,"Sastra","literature",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":97,"slug":124},"technology",{"id":126,"doc_module":4,"doc_module_name":47,"category_name":127,"show_sort_weight":97,"slug":128},50,"Ujian","exam",{"id":130,"doc_module":4,"doc_module_name":47,"category_name":131,"show_sort_weight":97,"slug":132},57,"Umum","general",{"id":134,"doc_module":4,"doc_module_name":47,"category_name":135,"show_sort_weight":4,"slug":136},181,"Formulir","formulir"]