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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Seminar Nasional Informatika (SEMNASIF) JURNAL MEDIA INFORMATIKA BUDIDARMA SEIKO : Journal of Management & Business Jiko (Jurnal Informatika dan komputer) International Journal of Supply Chain Management EconBank : Journal Economics and Banking Jurnal Ilmiah Edunomika (JIE) Jurnal Informatika Ekonomi Bisnis JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Abdimas Galuh : Jurnal Pengabdian Kepada Masyarakat Jurnal Darma Agung Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Brilliance: Research of Artificial Intelligence Jurnal Inovasi Masyarakat Computing Jurnal Informatika International Journal of Multidisciplinary Sciences and Arts Jurnal Informatika Ekonomi Bisnis
Fitrah Rumaisa
Universitas Widyatama
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Nursing Social Sciences Transportation Other

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PENENTUAN ASSOCIATION RULE PADA PEMILIHAN PROGRAM STUDI CALON MAHASISWA BARU MENGGUNAKAN ALGORITMA APRIORI STUDI KASUS PADA UNIVERSITAS WIDYATAMA BANDUNG Fitrah Rumaisa
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2012
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Diketahui mulai tahun 2001 Universitas Widyatama (UTama) memiliki 11 program studi. Pada Penerimaan Mahasiswa Baru, calon mahasiswa diperbolehkan memilih maksimal 3 (tiga) pilihan program studi. Selama ini, belum pernah diketahui rule pemilihan program studi yang dilakukan oleh calon mahasiswa. Sehingga strategi khusus yang dilakukan dalam kegiatan promosi. Salah satu alternatif solusi dari masalah tersebut menerapkan teknik data mining, sehingga dapat dilakukan penelusuran pada data historis untuk mengidentifikasi pola data yang dimiliki terhadap subyek yang diteliti yang didasarkan pada sifat-sifat data yang teridentifikasi sebelumnya. Dalam penelitian ini akan menggunakan algoritma apriori untuk mengetahui asosiation rule pemilihan program studi calon mahasiswa.
SISTEM PAKAR DIAGNOSA AWAL KANKER SERVIKS DENGAN METODE CERTAINTY FACTOR Fitrah Rumaisa; Iwan Rijayana; Tanti Nurafianti
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 4 (2010): Intelligent System dan Application
Publisher : Jurusan Teknik Informatika

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Abstract

Sistem pakar (expert system) secara umum adalah sistem yang berusaha mengadopsi pengetahuan manusia ke komputer, agar komputer dapat menyelesaikan masalah seperti yang biasa dilakukan oleh para ahli. Atau dengan kata lain sistem pakar adalah sistem yang didesain dan diimplementasikan dengan bantuan bahasa pemrograman tertentu untuk dapat menyelesaikan masalah seperti yang dilakukan oleh para ahli. Diharapkan dengan sistem ini, orang awam dapat menyelesaikan masalah tertentu baik ‘sedikit’ rumit ataupun rumit sekalipun ‘tanpa’ bantuan para ahli dalam bidang tersebut. Sedangkan bagi para ahli, sistem ini dapat digunakan sebagai asisten yang berpengalaman. Aplikasi yang dikembangkan ini bertujuan untuk menentukan jenis gangguan pada wanita mulai umur 17 tahun dengan hanya memperhatikan gejalagejala yang dialami. Dengan menggunakan metode Certanty Factor (CF), didapatkan nilai Kemungkinan gangguan yang dialami pasien.
Penerapan Natural Language Processing (NLP) di bidang pendidikan Fitrah Rumaisa; Yan Puspitarani; Ai Rosita; Azizah Zakiah; Sriyani Violina
Jurnal Inovasi Masyarakat Vol. 1 No. 3 (2021): Jurnal Inovasi Masyarakat
Publisher : LP2M Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (572.753 KB) | DOI: 10.33197/jim.vol1.iss3.2021.799

Abstract

NLP adalah cabang dari kecerdasan buatan (AI) yang berhubungan dengan melatih komputer untuk memahami, memproses, dan menghasilkan bahasa. Salah satu implementasi NLP yang sangat penting adalah penerapannya di dunia pendidikan. NLP adalah proses yang efektif untuk membantu siswa dalam proses pembelajaran. Menerapkan NLP dalam lingkungan pendidikan tidak hanya membantu dalam mengembangkan proses bahasa yang efektif, tetapi juga penting untuk meningkatkan prestasi akademik. Beberapa penerapan NLP di dunia pendidikan adalah Peringkasan Teks dan Paraphrasing, Tanya Jawab, Chatbot (feedback dari pendidik), Evaluasi Ejaan dan Grammar
Penerapan Business Intelligence Terhadap Data Penjualan UMKM (Foodendez) Menggunakan Metode Algoritma Apriori Dalam Menentukan Segmentasi Pasar Akhmad Rafi Oktavian; Fitrah Rumaisa
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4338

Abstract

MSMEs in Indonesia are MSMEs with a business scale level of 98.7% are micro-enterprises and this MSME-scale assessment category was assessed or researched 10 years ago, the results are still the same as the previous assessment, due to the average MSMEs in Indonesia not having a way or the right innovation in developing its business, especially in terms of the products produced and other things, an example of MSMEs experiencing this is MSME Foodendez, which causes these MSMEs to not have significant sales progress. Therefore, to improve the quality and progress of the Foodendez MSME business, the current sales data is used to recapitulate and evaluate the Foodendez MSME market segmentation. By using the a priori algorithm, the sales data can be used to find out predictive information on consumer interest based on age, gender, and sales location criteria. The application of business intelligence uses an a priori algorithm so that it can help provide predictive information on consumer interest in a product and can clearly know its market segmentation by collecting data through product sales in the marketplace it can be seen which products are most interested in by consumers, then data on the amount followers, comments, and likes in every post on social media in order to determine engagement (promotional strategies through social media). In this research, testing is carried out based on the location of sales at Foodendez SMEs so as to produce market segmentation data. The conclusion from the temporary test results, the frequency of sales in the marketplace is the highest at 52%, then the lowest frequency of sales is 12% in sales through exhibition bazaars.
Analisis Sentimen Ulasan Hotel Bahasa Indonesia Menggunakan Support Vector Machine dan TF-IDF Vincentius Westley Dimitrius Thomas; Fitrah Rumaisa
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4218

Abstract

Reviews of a service, especially hotel services, have an important role to play in consumer decisions. Tripadvisor is a guide and reference platform for travelers in finding information about the hotel services in various countries. There are many reviews about hotels on the platform so that readers are difficult to make decisions so it is necessary to conduct a sentiment analysis that aims to dig up information from existing reviews. The initial stage is by labeling (positive, neutral, negative) to the review. Then the preprocessing stage so that the review can be easily processed, then from that stage continued weighting using Term Frequency - Inverse Document Frequency (TF-IDF) using the best parameters, after weighting the data, then the next is the distribution of data into training data, validation and test. The data are entered into the machine learning process using Support Vector Machine (SVM) and obtained the accuracy of the model by 85%. For testing scenarios if not using slang handling get F1-Score by 80% and if not using stopword get F1-Score by 82%. On the evaluation of the performance of the model using K-Fold obtained the best results on the Fold-7 with a precision value of 87%, recall 86%, F1-score 86%, and accuracy of 87%.
CODEIGNITER (CI) FRAMEWORK ON ADMIN E-COMMERCE MONITORING INFORMATION SYSTEM Nurul Fiona Damayanti; Fitrah Rumaisa
Jurnal Darma Agung Vol 30 No 2 (2022): AGUSTUS
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Darma Agung (LPPM_UDA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46930/ojsuda.v30i2.2459

Abstract

E-commerce at this time is a very profitable business. E-commerce has excellent potential in terms of sellers who want a more comprehensive range of products and increased turnover. At the same time, buyers feel a sense of security when making transactions due to a system that can monitor both tracking and delivery and the results of product reviews that have been purchased based on previous purchases. All of this is inseparable from the admin system, which can control and monitor all transaction flows that occur. The application uses a framework that can support all of this and a programming language that can be used as a reference for creating an e-commerce admin system which uses: MySQL, PHP, CSS, HTML, and CodeIgniter as a framework that can unite everything, while for a more responsive display using bootstrap. Making this system is implemented into a website-based application. The purpose of this research is to develop admin features from the results of previous research data where the average e-commerce admin system is still semi-manual. Hence, researchers are interested in creating a monitoring information system that can monitor the flow of transactions, where the involvement is buyers, sellers, and couriers as the main objects.
Microservices Design and Development for the Basic Logistic Functionalities in the Unified Process Benny Susanto; Fitrah Rumaisa
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 1 (March 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v5i1.185

Abstract

The software development process has gone through significant change in the recent years. Now delivering a system that merely satisfies functional requirements is no longer enough. Companies want their systems to be easily maintained, scalable, fault tolerant, available, integrated, and other attributes. The microservice architecture was designed to create such a robust system where a big monolith system is broken down into multiple small services that communicate each other to fulfill the requirements. One area of functional requirements that exist and needed in almost all kind of companies is the logistic part. This paper will discuss how microservices architecture can be designed and implemented to support logistic functionality that can be reused in a lot of companies as the base system.
DECISION SUPPORT SYSTEM FOR DETERMINING STUDENT ELIGIBILITY TO PARTICIPATE OF MBKM IN THE INFORMATICS STUDY PROGRAM USING AHP AND TOPSIS Yan Puspitarani; Fitrah Rumaisa; Sriyani Violina; Feri Sulianta; Ai Rosita
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 8 No. 1 (2023)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v8i1.156

Abstract

To be able to have mastery of various sciences that are useful for experience in the world of work, students are encouraged through the MBKM program. Most students of the Informatics Study Program will choose an internship scheme and independent study in applying for the MBKM. However, the increasing number of students' interest in this program requires the Informatics Study Program to be more selective in analyzing the eligibility of students to take part in the MBKM program it has chosen. For this reason, a decision support system is needed that can assist the study program in determining and assessing the eligibility of these students. This study created a DSS modeling using the Analytical Hierarchy Process (AHP) method and the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) using 8 criteria.
ANALISIS DATA PELANGGARAN LALU LINTAS DI PERSIMPANGAN KOTA BANDUNG : STUDI KASUS JALAN RAYA SOEKARNO HATTA Muhamad Hadziq Ilham; Rosmawati; Fitrah Rumaisa
COMPUTING | Jurnal Informatika Vol. 10 No. 01 (2023): JURNAL COMPUTING VOLUME 10 Nomor 01 Tahun 2023
Publisher : Program Studi Teknik Informatika FTI UNIBBA

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Abstract

Paper ini bertujuan untuk menganalisis data pelanggaran lalu lintas dengan menggunakan pendekatan kuantitatif. Populasi penelitian adalah seluruh pengendara kendaraan bermotor yang melintas di kota Bandung selama periode waktu tertentu. Sampel penelitian diambil dengan metode purposive sampling, yaitu pengendara kendaraan bermotor yang tercatat melakukan pelanggaran lalu lintas di persipangan sepanjang jalan raya Soekarno Hatta. Instrumen penelitian yang digunakan adalah rekaman dari cctv ATCS Dishub Bandung. Data yang diperoleh dianalisis dengan menggunakan metode statistik deskriptif. Hasil analisis deskriptif menunjukkan bahwa pelanggaran lalu lintas yang terjadi pada persimpangan sepanjang jalan raya Soekarno Hatta mengalami kenaikan seiring bertambahnya volume jumlah kendaraan di Indonesia khususnya di kota Bandung. Berdasarkan hasil penelitian ini, disarankan untuk meningkatkan pengawasan dan penegakan hukum terhadap pelanggar lalu lintas yang melakukan pelanggaran yang paling sering terjadi. Selain itu, perlu adanya upaya pencegahan dan pengurangan faktor risiko yang mempengaruhi perilaku pelanggaran lalu lintas, seperti memberikan edukasi tentang keselamatan berkendara dan meningkatkan kualitas infrastruktur jalan raya.
PENGEMBANGAN UMKM LAUNDRY SEPATU MELALUI DIGITALISASI TRANSAKSI Fitrah Rumaisa; Yan Puspitarani; Sriyani Violina; Feri Sulianta
JURNAL ILMIAH EDUNOMIKA Vol 8, No 1 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i1.12492

Abstract

Computers have become an inseparable part of society's activities, especially in the need to support business processes, so the need for computerized systems has a very essential role in carrying out business processes. However, quite a few still use manual systems in carrying out business activities. As a result, obstacles arise as the business continues to grow due to increasingly large and complex needs. One of them is also experienced in the shoe laundry business which requires complex handling considering the large number of services as the number of consumers increases. In order to meet the needs of existing business processes, a computer-based transactional system is needed to support existing business processes, so that business efficiency and effectiveness can be realized. Further training is also needed due to the transition from manual systems to computer-based systems so that workers can adapt to using computerized systems. precisely on target.
Co-Authors Ai Rosita Akhmad Rafi Oktavian Azizah Zakiah Benny Susanto Galih Raspati Iwan Rijayana Khoirunnisa, Fathimah Fadhilah Muchsam, Yoki Muhamad Hadziq Ilham Mulyana, Hadist Laroibafi Nurul Fiona Damayanti Obsatar Sinaga Rosita, Ai Rosmawati Rumondor, Aaron Sriyani Violina Sulianta, Feri Susanto, Benny Tanti Nurafianti Ulfah, Khaerani Vincentius Westley Dimitrius Thomas Wahdiaman, Wahdiaman Yan Puspitarani Yenny Maya Dora Yuningsih , Yuyun Yuniati Zainudin, Zalina