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Tabel hasil tinjauan memperlihatkan variasi pendekatan seperti NLP, RuleBased System, mixed-methods, serta penerapan framework dan model seperti LangChain/LLM, Waterfall, dan Extreme Programming, beserta temuan utama yang mencakup efisiensi layanan, pengalaman pengguna, dan fitur logging serta monitoring.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/id/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/id/document/penelitian-laporan/","Penelitian & 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“Hasil Tinjauan Literatur” dalam dokumen ini?","Question",{"text":63,"@type":64},"Bagian ini merangkum analisis literatur dari studi terpilih mengenai pengembangan chatbot menggunakan berbagai metode algoritma, termasuk informasi judul dan tahun publikasi.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Metode apa saja yang disebut dalam tabel studi terpilih?",{"text":68,"@type":64},"Tabel mencantumkan metode seperti NLP, RuleBased System, Waterfall, Extreme Programming, serta pendekatan lain seperti mixed-methods dan penggunaan framework LangChain/LLM.",{"name":70,"@type":61,"acceptedAnswer":71},"Informasi apa yang terdapat pada Tabel 2 “Hasil Tinjauan Literatur”?",{"text":72,"@type":64},"Tabel memuat nomor, penulis dan tahun, judul artikel, database sumber, metode, serta temuan utama atau fitur pelaporan dari tiap 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Sumber |  | Penemuan Studi (Berdasarkan Judul dan Kata Kunci) |  |  |  |  |  | Kandidat | Terpilih |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  | Chatbot Whatsapp Keimigrasian |  | Sistem Pelaporan\u003Cbr>Orang Asing\u003Cbr>Keimigrasian |  | Chatbot metode RuleBased System |  |  |  |\n| Google\u003Cbr>Scholar |  | 17 |  | 16 |  | 39 |  | 8 | 3 |\n| Semantic\u003Cbr>Schoolar |  | 15 |  | 25 |  | 23 |  | 15 | 13 |\n| Open Alex |  | 3 |  | 20 |  | 20 |  | 9 | 4 |\n| Total |  | 35 |  | 61 |  | 82 |  | 32 | 20 |\n| Terdapat 20 makalah yang telah dipilih terkait penggunaan berbagai metode algoritma dalampengembangan chatbot. Rincian analisis literatur dari \"Studi Terpilih\" ini yang mencakup judul, tahun publikasi, serta jenis literatur disajikan pada Tabel 2.\u003Cbr>Tabel 2. Hasil Tinjauan Literatur |  |  |  |  |  |  |  |  |  |\n| No | Penulis & Tahun |  | Judul Artikel |  | Database |  | Metode | Temuan Utama / Fitur Pelaporan |  |\n| 1 | Endrahadi Rahadian, et al. (2026) |  | PengembanganAplikasi Chat Bot Whatsapp, Telegram, dan Website Laporan untukInstansi Pemerintah Disperkim Pool Seroja Kota Semarang Berbasis Natural Language Processing |  | Google\u003Cbr>Scholar |  | NLP | Implementasi chatbot pada DISPERKIM POOL Seroja Kota Semarang diharapkandapat meningkatkan efisiensi pelayanan informasi publik, memperkuat citra instansi yang adaptif terhadap kemajuan teknologi, serta mendukung program pemerintah dalam mewujudkan pelayanan publikberbasis digital. |  |\n\n\n| 2 | Muhammad Ikhwani & Zalfie Ardian (2023) | PERANCANGAN SISTEM\u003Cbr>INFORMASILAYANAN\u003Cbr>CHATBOT BERBASIS\u003Cbr>WHATSAPP PADA\u003Cbr>KPPBC TMP C\u003Cbr>LHOKSEUMAWE | Google\u003Cbr>Scholar | NLP | Merancang Sistem Informasi Layanan Chatbot Berbasis WhatsApp pada KPPBC TMPC Lhokseumawe. |\n| --- | --- | --- | --- | --- | --- |\n| 3 | Nurul Alfira Sari, et al.\u003Cbr>(2025) | PERAN WHATSAPPISASI CHATBOT VERONIKA DALAM MEMPEROLEH INFORMASI PAKET TELKOMSEL:\u003Cbr>PERSPEKTIF TEORY ACCEPTANCE MODEL (TAM) | Google\u003Cbr>Scholar | Partial Least Squares Structural Equation Modeling (PLSSEM) | Menguji hubungan antara Perceived Ease of Use, Perceived\u003Cbr>Usefulness, Attitude Toward Using, dan Actual Use. |\n| 4 | EMIMA P (2025) | An Empirical Study on AI Powered Chatbot on WhatsApp | Semantic Scholar | Mixed-methods approach (quantitative and qualitative) | Penelitian ini membantu untuk mengetahui tentang Pengalaman Pengguna dan Keterlibatan Pengguna Chatbot WhatsApp, serta untuk mengetahui tentang loyalitas dan adaptasi pada chatbot WhatsApp. |\n| 5 | Imam Amirulloh, et al. (2024) | RANCANG BANGUN CHATBOT WHATSAPP MENGGUNAKAN NODE JS DAN MODEL NATURAL LANGUANGE PROCESSING UNTUK LAYANANPPDB SMKYPC TASIKMALAYA | Semantic Scholar | Waterfall | Membangun sebuah Sistem Chatbot Whatsapp berbasis website pada Penerimaan Peserta Didik Baru dengan menerapkan model Natural Language Processing yang bertujuan untuk membantu pihak sekolah dan Masyarakatdalam berinteraksi mengenai PPDB melalui Whatsapp dengan cepat dan tepat. |\n| 6 | Ahmad Azriel Friyansyah & Deni Sutaji\u003Cbr>(2025) | PENGEMBANGAN FITUR LOGGING DAN DASHBOARD MONITORING ADMIN PADA LAYANAN CHATBOT WHATSAPP BERBASIS LARAVEL | Semantic Scholar | Waterfall | Merancang dan mengimplementasikan fitur logging serta dashboard monitoring berbasis Laravel untuk mempermudah proses pencatatan dan analisis aktivitas pesan. |\n| 7 | Muhammad\u003Cbr>Dimas Arya\u003Cbr>Muhajir, et al. (2025) | IMPLEMENTASICHATBOT MENGGUNAKAN FRAMEWORK LANGCHAIN BERBASIS LLM GPT (STUDIKASUS: PANDUAN AKADEMIK UNIVERSITAS TRUNOJOYO) | Semantic Scholar | Framework Langchain & User Acceptance Test (UAT) | Mengembangkan sebuah chatbot dengan menggunakan framework Langchain dan Large Language Models (LLM) GPT-3.5 Turbo |\n| 8 | Muhamad\u003Cbr>Sidik, et al.(2021) | PEMBUATANAPLIKASICHATBOT KOLEKTOR DENGAN METODE EXTREME PROGRAMMING DAN STRATEGI FORWARD CHAINING. | Semantic Scholar | Extreme Programming serta Forward Chaining | Pembuatan suatu aplikasichatbot dengan platform LINE menggunakan metode extreme programming dan st","cbCaihSQaW06JZaO","https://ap.wps.com/l/cbCaihSQaW06JZaO","pdf",473097,10,"Indonesian","# Hasil Tinjauan Literatur\n## Studi Terpilih Berdasarkan Judul dan Kata Kunci\n## Tabel Hasil Tinjauan Literatur (Tabel 2)","[{\"question\":\"Apa tujuan bagian “Hasil Tinjauan Literatur” dalam dokumen ini?\",\"answer\":\"Bagian ini merangkum analisis literatur dari studi terpilih mengenai pengembangan chatbot menggunakan berbagai metode algoritma, termasuk informasi judul dan tahun publikasi.\"},{\"question\":\"Metode apa saja yang disebut dalam tabel studi terpilih?\",\"answer\":\"Tabel mencantumkan metode seperti NLP, RuleBased System, Waterfall, Extreme Programming, serta pendekatan lain seperti mixed-methods dan penggunaan framework LangChain/LLM.\"},{\"question\":\"Informasi apa yang terdapat pada Tabel 2 “Hasil Tinjauan Literatur”?\",\"answer\":\"Tabel memuat nomor, penulis dan tahun, judul artikel, database sumber, metode, serta temuan utama atau fitur pelaporan dari tiap literatur.\"}]","Hasil Tinjauan Literatur Pengembangan Chatbot WhatsApp Keimigrasian | PDF",15]