Aplikasi Chatbot Objek Wisata Jawa Timur Berbasis AIML

Suryani, Dhebys; Amalia, Eka Larasati

doi:10.21067/smartics.v3i2.1961

Cited by 13 publications

(15 citation statements)

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“…Research conducted by [5,13,14] all focus on matching input patterns with master patterns that are stored on a knowledge base. A similar focus was also found in research on the use of AIML in the Indonesian language domain [9,15]. Not yet found the application of AIML which includes the introduction of parameters as additional criteria in pattern matching, including in solving the problems of searching dewasa ayu on the Bali calendar.…”

Section: Related Workmentioning

confidence: 60%

“…In 2016, Saptaji tried to develop chatbot on the basis of pattern matching that uses SQL in matching the pattern stored in the database [8]. In 2017, Suryani developed the chatbot by AIML method in order to provide information regarding tourist destination or object in East Java [9]. In the same year, Kulkarni used Natural Language Processing and Machine Learning as a solution for bank customer information issues [10].…”

Section: Related Workmentioning

confidence: 99%

“…AIML basis Chatbot is easily configurated and easy in term of its use [21]. AIML consists of groups of patterns and responses used to find out responses of every comments, questions, and utterances given [9]. The parts of AIML are presented in Fig.…”

Section: Aiml Modelmentioning

confidence: 99%

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Multi Parameter Design in AIML Framework for Balinese Calendar Knowledge Access

Sukarsa¹,

Buana²,

Yogantara³

2020

KSII TIIS

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Balinese calendar is defined as a unique calendar system for combining solar-based and lunar-based system and assuming local system. It is considered as guidance of Balinese societies' activities management, starting from meeting arrangement, wedding ceremony, to religious ceremonies. Practically, it has developed in the form of printed Balinese calendar and electronic Balinese calendar, either web or mobile application. The core of the function is to find out the day with its various characteristics in the Balinese Calendar. In general, society usually asks the religious leader to find out the day in detail. The technology of NLP combined with models of pattern discoveries supports the arrangement of the interaction model in searching the good day in Balinese Calendar to equip the conventional searching system in the previous applications. This study will design a dialog model with AIML method in multi-parameter basis; therefore, the users will be dynamically able to use the searching content in various ways by chatting in similar with consulting to a religious leader. This model will be applied in a chatbot basis service in telegram machine. The addition of the context recognition section into 4 paterns has been successfully improve the ability of AIML to recognize input patterns with many criteria. Based on the testing with 50 random input patterns obtained a success rate of 92.5%.

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Section: Related Workmentioning

confidence: 60%

Section: Related Workmentioning

confidence: 99%

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Multi Parameter Design in AIML Framework for Balinese Calendar Knowledge Access

Sukarsa¹,

Buana²,

Yogantara³

2020

KSII TIIS

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“…Pertanyaan yang mampu dijawab oleh aplikasi chatbot adalah pertanyaan yang bersifat umum dan sudah dipersiapkan jawabannya. [2]. Manfaat dari chatbot adalah untuk pelayanan informasi kepada pengguna tanpa melibatkan operator sebagai penjawab, jadi pekerjaan operator sudah di alihkan ke aplikasi chatbot [3].…”

Section: Pendahuluanunclassified

LINE Chatbot Informasi Cuaca Wilayah Indonesia

Junadhi¹,

Mardainis²

2019

Digitalzone

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Saat ini tingkat mobilisasi masyarakat dari suatu daerah ke daerah lain sangat tinggi, hal ini didukung oleh infrastruktur yang baik seperti jalan dan moda transportasi yang sudah baik. Pada waktu hari libur kerja ada tren yang berkembang di tengah masyarakat untuk memanfaatkannya pergi berwisata kedaerah lain, baik itu dalam provinsi maupun luar provinsi.Persiapan yang harus dilakukan sebelum keberangkatan disesuaikan dengan lama waktu bepergian, baik itu pakaian dan lain lain. Hal yang tidak kalah pentingnya adalah mengetahui situasi dan cuaca di daerah yang dituju dan daerah daerah yang akan dilewati selama perjalanan. Biasa kendala perjalanan bisa berupa banjir, angin ribut dan tanah longsor.Jika kita sudah mengetahui situasi cuaca di daerah yang akan dituju dan daerah daerah yang akan dilewati selama perjalanan, kita akan mudah memutuskan apakah jadi berangkat atau tidak, ataupun mempersiapkan diri untuk mengantisifasi keadaan yang akan terjadi.Penelitian ini memberikan kemudahan bagi pemakai untuk mengetahui cuaca suatu daerah hanya dengan membuka aplikasi chatbot yang digunakan diatas aplikasi sosmed LINE.

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“…Currently there are only AIML interpreters in various programming languages so that the process of making chatbots can be focused on compiling AIML documents. In addition, there are currently many ready-to-use AIML documents available for various fields of conversation [10]. The important parts of AIML [11] are as follows:: 1.…”

Section: E Aimlmentioning

confidence: 99%

Artificial Intelligence Markup Languange for Interactive Service HR Department

Frizki*¹,

Ranggadara²,

Wati³

2019

IJITEE

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Along with the development of information and communication technology systems in the era of free digitalization, people are asking for comfort and convenience by supporting their activities. One of them is easy to find artificial intelligence technology in various ways to support human activities. Artificial intelligence technology or often called Artificial Intelligence (AI) can be processed into various forms so that according to the adjusted method. Application of Artificial Intelligence Markup Language (AIML) with UML (Unified Modeling Language) design as an interactive media for personnel and employee services. The UML (Unified Modeling Language) design method is expected to help the personnel department in providing information to employees at PT. Dimensions of Indonesian Data. The information collected will be made into frequently asked questions and then adjusted to the AIML pattern.

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Aplikasi Chatbot Objek Wisata Jawa Timur Berbasis AIML

Cited by 13 publications

References 0 publications

Multi Parameter Design in AIML Framework for Balinese Calendar Knowledge Access

Multi Parameter Design in AIML Framework for Balinese Calendar Knowledge Access

LINE Chatbot Informasi Cuaca Wilayah Indonesia

Artificial Intelligence Markup Languange for Interactive Service HR Department

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