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Syandra Sari
Fakultas Teknologi Industri, Universitas Trisakti
Computer Science & IT

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Perolehan Informasi Kembali (Information Retrieval/IR) Menggunakan Topic Modelling untuk Dataset Tempo Wilda Anggriani; Syandra Sari; Anung B. Ariwibowo; Dedy Sugiarto
Intelmatics Vol. 1 No. 2 (2021): Juli - Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v1i2.5030

Abstract

In the era of technology as it is today, many technologies and information are growing. The presence of information technology makes it easy for everyone to find information. Usually people use search engines like Google, Yahoo, etc. to find information., many technologies and information are growing. The presence of information technology makes it easy for everyone to find information. Usually people use search engines like Google, Yahoo, etc. to find information.Search engines really help humans to get information. Usually the search engine is one example of information retrieval (Information Retrieval / IR). Documents that produced by search engines are relevant documents based on user requests.In this study, the author implemented the IR process to find relevant documents based on existing queries. The results will be compared with relevant documents from previous research using the same dataset, namely the Tempo dataset from 2000 to 2002. This can find out how far the performance of the method used in this research is based on previous research. The method used in this research is the doc2vec method.From the results obtained using the doc2vec model, the smaller the epoch on the doc2vec model, the smaller the results of the average percentage similarity between the relevant documents produced by the doc2vec model and the relevant documents beforehand. While the results of the percentage similarity average of the doc2vec model are based on the vector size which is after the vector size 30 the result is above 35%. Epoch which produces the highest percentage average is epoch 25 from epoch 25, 50, 75, and 100. Vector size that produces the highest average percentage similarity is vector size 40 from vector size 10, 20, 30, 40, 50, 60, 70, 80, 90, and 100. The highest results of the highest percentage similarity are generated by the doc2vec model that uses epoch 25 and vector size 40 is 41,930. In the era of technology as it is today, many technologies and information are growing. The presence of information technology makes it easy for everyone to find information. Usually people use search engines like Google, Yahoo, etc. to find information., many technologies and information are growing. The presence of information technology makes it easy for everyone to find information. Usually people use search engines like Google, Yahoo, etc. to find information.Search engines really help humans to get information. Usually the search engine is one example of information retrieval (Information Retrieval / IR). Documents that produced by search engines are relevant documents based on user requests.In this study, the author implemented the IR process to find relevant documents based on existing queries. The results will be compared with relevant documents from previous research using the same dataset, namely the Tempo dataset from 2000 to 2002. This can find out how far the performance of the method used in this research is based on previous research. The method used in this research is the doc2vec method.From the results obtained using the doc2vec model, the smaller the epoch on the doc2vec model, the smaller the results of the average percentage similarity between the relevant documents produced by the doc2vec model and the relevant documents beforehand. While the results of the percentage similarity average of the doc2vec model are based on the vector size which is after the vector size 30 the result is above 35%. Epoch which produces the highest percentage average is epoch 25 from epoch 25, 50, 75, and 100. Vector size that produces the highest average percentage similarity is vector size 40 from vector size 10, 20, 30, 40, 50, 60, 70, 80, 90, and 100. The highest results of the highest percentage similarity are generated by the doc2vec model that uses epoch 25 and vector size 40 is 41,930.
Ekstraksi Informasi Menggunakan Named Entity Recognition dan Pembuatan Association Rule Pada Dokumen Direktori Putusan Mahkamah Agung Republik Indonesia Muhammad Rizky Fadila Afgan; Syandra Sari; Anung B. Ariwibowo; Dedy Sugiarto
Intelmatics Vol. 2 No. 1 (2022): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i1.5031

Abstract

Land is fundamental to the needs of human life. Humans carry out activities on the ground, so that they are obstructed from getting all human activities both directly and indirectly carried out on the ground. Land is a natural resource that is given by God Almighty to the Indonesian people as national wealth and is a means of meeting all life activities that are important for human life. In this case everyone must need land. Land is often used as a case by disputes, because of the limited area of landInvolved a lot of land The author will extract information in the Directory file Decision Mahkmah Agung is done to produce a named entity taken from the file. PDF extracted. In this study, the author uses the introduction of an entity named (NER Entity Recognition or NER). NER is used to retrieve named entities. After that the author uses the Association Rule to inform data in the form of graphs for analysis Land is fundamental to the needs of human life. Humans carry out activities on the ground, so that they are obstructed from getting all human activities both directly and indirectly carried out on the ground. Land is a natural resource that is given by God Almighty to the Indonesian people as national wealth and is a means of meeting all life activities that are important for human life. In this case everyone must need land. Land is often used as a case by disputes, because of the limited area of land                                Involved a lot of land The author will extract information in the Directory file Decision Mahkmah Agung is done to produce a named entity taken from the file. PDF extracted. In this study, the author uses the introduction of an entity named (NER Entity Recognition or NER). NER is used to retrieve named entities. After that the author uses the Association Rule to inform data in the form of graphs for analysis
Foodcourt Online Usakti Campus A Fikri Ismaya; Syaifudin Abdullah; Syandra Sari
Intelmatics Vol. 1 No. 2 (2021): Juli - Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v1i2.8081

Abstract

The era is progressing from year to year. The number of food businesses that are integrated with the internet to market food products online, payments do not use cash and food deliveries do not need to be recorded because the recording has been done automatically by the application. The canteens in the Usakti Campus A area have not been registered on the online application so food orders are still manual, payments must be made in cash, and food shipments are still recorded manually. In order for the sales of these canteens to be carried out online, an online application needs to be developed so that prospective buyers can view food products online, order food online, make payments in cash, and send food items recorded automatically by the application. This online application development is carried out using the waterfall software development method which is based on the System Development Life Cycle (SDLC), and uses the Unified Modeling Language (UML) to create application processes with Use Cases, Activity Diagrams, Sequence Diagran, and Class Diagrams. Based on the evaluation carried out on application users, it can be concluded that the Usakti food court application developed can make it easier for buyers to order food from their payments. With this application, buyers do not need to come physically to the canteen to buy food. As for sellers, using this application can expand their market reach and can create promo coupons, view food orders via the internet and using Unified Modeling Language (UML) to create application processes with Use Cases, Activity Diagrams, Sequence Diagran, along with Class Diagrams. Based on the evaluation carried out on application users, it can be concluded that the Usakti food court application developed can make it easier for buyers to order food from their payments. With this application, buyers do not need to come physically to the canteen to buy food. As for sellers, using this application can expand their market reach and can create promo coupons, view food orders via the internet and using Unified Modeling Language (UML) to create application processes with Use Cases, Activity Diagrams, Sequence Diagran, along with Class Diagrams. Based on the evaluation carried out on application users, it can be concluded that the Usakti food court application developed can make it easier for buyers to order food from their payments. With this application, buyers do not need to come physically to the canteen to buy food. As for sellers, using this application can expand their market reach and can create promo coupons, view food orders via the internet Based on the evaluation carried out on application users, it can be concluded that the Usakti food court application developed can make it easier for buyers to order food from their payments. With this application, buyers do not need to come physically to the canteen to buy food. As for sellers, using this application can expand their market reach and can create promo coupons, view food orders via the internet Based on the evaluation carried out on application users, it can be concluded that the Usakti food court application developed can make it easier for buyers to order food from their payments. With this application, buyers do not need to come physically to the canteen to buy food. As for sellers, using this application can expand their market reach and can create promo coupons, view food orders via the internet
Implementasi Knowledge Management pada Tanaman Kopi Syaifudin Abdullah; Ahmad Fatahilah; Syandra Sari
Intelmatics Vol. 2 No. 1 (2022): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i1.9857

Abstract

Abstract Kopi adalah salah satu produk yang sering digunakan sebagai minuman penghangat atau untuk penghilang rasa lelah dan kantuk yang sudah terkenal di dunia maupun di Indonesia. Faktor yang berpengaruh dengan sifat fisik, kimiawi, kontaminasi dan kebersihan biji kopi yang dijaga dengan ketat oleh karena itu, biji yang berkualitas sangat menentukan hasil dari cita rasa yang dihasilkan oleh kopi tersebut. Permasalahan terbesar yang menyebabkan turunnya produksi biji kopi karena adanya penyakit pada tanaman kopi yang dapat menimbulkan rusaknya hasil panen biji kopi. Untuk melakukan pencegahan serta penanganan pada penyakit kopi peneliti menggunakan Knowledge Management sebagai topik penelitian, kemudian untuk melakukan pengumpulan data menggunakan metode dari Becerra-Fernandez sedangkan untuk melakukan identifikasi terhadap penyakit pada kopi menggunakan metode Case Based Reasoning. Jika seluruh data sudah terkumpul maka peneliti akan membuat aplikasi untuk mengidentifikasi penyakit dengan menggunakan SDLC Waterfall sebagai metodologi pengembangan perangkat lunak dan menggunakan UML untuk rancangan aplikasi berbasis website dengan tujuan aplikasi tersebut dapat diakses oleh para petani kopi untuk mengetahui jenis-jenis penyakit dan cara penanganannya. Kata Kunci : Tanaman Kopi , Penyakit Kopi , Case Based Reasoning, BecerraFernandez , Knowledge Management, SDLC Waterfall
Knowledge Management Pada Peternakan Sapi Perah syaifudin abdullah; Syandra Sari; Salsabila Shaharani
Intelmatics Vol. 2 No. 1 (2022): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i1.9858

Abstract

Abstract- Berbisnis sapi perah di Indonesia sangat menguntungkan karena konsumennya banyak, dan mempunyai lahan yang luas. masalahan yang sering muncul pada peternak sapi perah yaitu, banyak peternak yang belum mengerti cara merawat dan mengetahui penyakit pada sapi perah, sehingga hal tersebut dapat menimbulkan kerugian ekonomi. Beberapa kasus penyakit pada sapi perah ini sulit untuk dideteksi, sehingga dibutuhkan sebuah solusi untuk mengatasi persoalan ini dengan menggunakan system pakar yang terdapat dalam knowledge management system (KMS) peternakan sapi perah. Sistem pakar digunakan untuk mengidentifikasi penyakit sapi perah dengan metode Certainty Factor. Hasil dari penelitian ini bertujuan untuk mengembangkan sebuah sistem KMS yang didalamnya terdapat system pakar untuk mendeteksi penyakit sapi perah. Analisa kebutuhan KMS dijalankan menggunakan metode Becerra Fernandez. Sedangkan metode Waterfall digunakan sebagai metode pengembangan perangkat lunak dari System Development Life Cycle(SDLC)
Sistem Informasi Tugas Akhir Berbasis Web di Jurusan Teknik Informatika Universitas Trisakti Dwi Yunda; Syaifudin; Syandra Sari
Intelmatics Vol. 2 No. 2 (2022): Juli-Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i2.14311

Abstract

The Department of Informatics has requirements for earning a Bachelor's degree, namely the Final Project. The Final Project is a research paper that must be written for students. However, the process of implementing the final project is still managed manually so problems occur on a regular basis. To avoid further issues, the author conducted research on the Information Systems of the Final Project. This system would not be integrated into the primary system of the university. There was only the Final Project 1 process in the implementation, consisting of a proposal and results seminars. This study aimed to create an Information system of Online Final Project for students who want to take Final Project 1 or those who are taking Final Project 1. This study used the waterfall method which consisted of requirements, design, implementation, and evaluation. In the analysis and design, this study used PHP programming and a MySQL database server. The function test on the application was used to generate the test results. The Final Project Information System application would be used by the admins, students, lecturers (supervisors and examiners), and the final project coordinators.
Co-Authors Ahmad Fatahilah Anung B Ariwibowo Dedy Sugiarto Dwi Yunda Fikri Ismaya Muhammad Rizky Fadila Afgan Salsabila Shaharani Syaifudin Syaifudin Abdullah Wilda Anggriani