Article Per Year (5 Year)
p-Index From 2021 - 2026
4.447
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) CESS (Journal of Computer Engineering, System and Science) JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JUMANJI (Jurnal Masyarakat Informatika Unjani) MIND (Multimedia Artificial Intelligent Networking Database) Journal International Journal of Applied Sciences and Smart Technologies Jurnal Consulenza : Jurnal Bimbingan Konseling dan Psikologi Jurnal Pedagogi dan Pembelajaran Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) Yayasan Cita Cendikiawan Al Khwarizmi JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Bangkit Indonesia Jurtik STMIK Bandung JURTIK JURTIK: Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Siti Yuliyanti, Siti
Program Studi Informatika, Universitas Siliwangi, Tasikmalaya-Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 50 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 50 Documents
Search

 1   2   3   4   5 
Sistem Rekomendasi Pemilihan Siswa Berprestasi Menggunakan Metode Simple Additive Weighting: ( Studi Kasus : SMK Widya Karya Purwokerto ) Siti Yuliyanti; Linda Apriyanti; Yoga Helfiyan
JURTIK:Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 10 No 2 (2021): JURTIK: Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (811.585 KB) | DOI: 10.58761/jurtikstmikbandung.v10i2.157

Abstract

Pemilihan siswa berprestasi sangat diperlukan dalam suatu sekolah, karena sekolah perlu tahu mana siswa unggulan yang ada disekolah tersebut. Permasalahan muncul ketika perkembangan tersebut tidak diiringi dengan adanya sistem yang mendukung dalam pemilihan siswa berprestasi yang tepat dan sesuai kriteria. Tujuan penulisan skripsi ini adalah membangun sistem yang dapat membantu guru dalam menentukan siswa berprestasi sesuai kriteria. Dalam sistem ini metode Simple Additive Weighting digunakan sebagai dasar untuk melakukan normalisasi bobot yang diinput dan dipakai untuk menentukan alternatif nilai tertinggi siswa sebagai rekomendasi sistem. Proses penentuan dalam sistem pendukung keputusan ini dilakukan dengan menggunakan nilai yang ada diraport Hasil keputusan yang diperoleh dari sistem ini menunjukan bahwa metode ini lebih efektif dalam menentukan siswa berpestasi yang tepat dan sesuai kriteria nilai akademik, nilai keaktifan, nilai kehadiran dan nilai kepribadian sebagai pembanding dalam penentuan hasil akhir.
Ektraksi Fitur menggunakan Regular Expression pada Naïve Bayes Classifier untuk Analisis Sentimen GUFRONI, ACEP IRHAM; YULIYANTI, SITI; DEWI, EUIS NUR FITRIANI
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 8, No 2 (2023): MIND Journal
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v8i2.230-241

Abstract

AbstrakRegular expression atau regex merupakan metode ekstraksi fitur yang menemukan substring pada sebuah teks yang cocok dengan harapan dapat meningkatkan kompleksitas waktu atau akurasi dengan melakukan preprocessing teks. Permasalahan praproses teks salah satunya kurang memperhatikan ektraksi fitur untuk proses klasifikasi sentiment, sehingga akurasi yang diperoleh kurang optiomal. Inovasi utama dari pendekatan penelitian ini yaitu mengembangkan pengklasifikasi teks berbasis ekspresi reguler sehingga menghasilkan performance kinerja algoritma yang baik. Tahapan penelitian ini, yaitu pengumpulan dataset lalu mengklasifikasikan sentiment dengan Naïve Bayes dan dalam praproses teks dilakukan ektraksi fiitur regular expression. Hasil rata-rata akurasi yang dihasilkan dengan ekstraksi ciri sebesar 88,05% dan yang tidak menggunakan 79,26% sehingga dapat disimpulkan bahwa penggunaan ekstraksi fitur pada praproses dapat meningkatkan akurasi sebesar 8,08% dari 1000 data latih dan 400 data uji. Kata kunci: ekstraksi fitur, regex, regular expression, substringAbstractRegular expression or regex is a feature extraction method that finds matching substrings in a text in hopes of increasing time complexity or accuracy by preprocessing the text. One of the problems with text preprocessing is the lack of attention to feature extraction for the sentiment classification process, so the accuracy obtained is not optimal. This research stage begins with collecting a dataset and then classifying sentiment using Naïve Bayes, which pre-processes the text by extracting features with regular expressions. The main innovation of this research approach is to develop a text classifier based on regular expressions so as to produce good algorithm performance. The average accuracy produced by feature extraction is 88.05% and 79.26% is not used, so it can be concluded that the use of feature extraction in pre-processing can increase accuracy by 8.08% from 1000 training data and 400 test data.Keywords:  extraction feature, regex, regular expression, substring
Decision Support System for Determining Employee Bonuses using Analytical Hierarchy Process Yuliyanti, Siti; Sartika, Tika
INNOVATICS: International Journal on Innovation in Research of Informatics Vol 5, No 2 (2023): September 2023
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v5i2.8782

Abstract

Determining employee bonus salaries is one of the problems faced by every company, especially PT. Pyridam Farma, where the company finds it difficult to determine employees who are eligible to receive bonus salaries. There are many factors that cause this, including the fact that it takes quite a long time and the possibility of data being lost because it is still in hard copy form. This research uses the Analytical Hierarchy Process (AHP) as a weighting method for the basic criteria in determining employees who deserve a bonus salary, including length of service, absenteeism (attendance rate) and employee performance. The decision support system application determines employees who are eligible to receive this bonus salary on a web basis. The system that is built is able to determine which employees will receive bonus salaries based on predetermined weights and is able to determine what percentage of bonus salary employees will receive based on the assessments that have been carried out. This system can provide a solution for PT. Pyridam Farma to determine which employees will receive bonus salaries.
Optimasi Rabin Karp dengan Rolling Hash dan k-Gram pada Similarity Check Dokumen Abstrak Jurnal Yuliyanti, Siti; Fiitriani Dewi, Euis Nur; Rachman, Andi Nur
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 12, No 1 (2024)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v12i1.71224

Abstract

Rolling hash digunakan untuk mengatasi masalah hash pada Rabin Karp dengan memperbaharui kemunculan string berulang dengan menghitung nilai hash dari substring, dimana nilai hash dihitung lebih cepat dengan nilai hash lama sehingga dapat dibandingkan secara konstan. Kemudian penelitian ini menambahkan k-gram untuk melakukan pergerakan dari kata satu ke kata didepannya, dengan tujuan mampu meningkatkan akurasi dengan pengechekan teks pada dokumen yang lebih spesifik. Tahapan penelitian meliputi pengumpulan dataset yang berasal dari dokumen abstrak jurnal yang kemudian dilakukan praproses mulai dari cleansing, case folding, filtering, stemming dengan stopword selanjutnya implementasi rolling hash dan k-gram pada Rabin Karp untuk meningkatkan sensifitas pada similarity check serta mengetahui peningkatan presentase ketepatan dalam mendeteksi kemiripan dokumen. Hasil penelitian Hasil pengujian menunjukan k=7 menunjukan kemiripan lebih tinggi dibanding k=5 karena penelitian ini menggunakan panjang karakter jurnal n dengan nilai kemiripan tertinggi yaitu k=7 pada dokumen jurnal 4 yaitu kemiripan abstrak 49,93% dan kemiripan judul 14,00% sedangkan untuk k=5 yaitu 12,01% kemiripan abstrak dan 4,17% kemiripan judul sehingga k-gram, basis, dan modulo berpengaruh terhadap perhitungan similarity dokumen.
Implementasi One Time Password Pada Aplikasi E-Voting Pemilihan Ketua Himpunan Fitriani Dewi, Euis Nur; Yuliyanti, Siti; Rachman, Andi Nur
CESS (Journal of Computer Engineering, System and Science) Vol 9, No 2 (2024): July 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i2.61277

Abstract

Indonesia merupakan negara demokrasi yang melaksanakan pemilihan sebagai bentuk realisasi dari kedaulatan rakyat dan merupakan pilar utama negara demokrasi dimana mementingkan kepentingan umum daripada kepentingan individu. Metode yang digunakan untuk pengambilan keputusan bersama ini adalah melalui voting. Voting merupakan kegiatan yang sangat menentukan pada setiap perhelatan pemilihan, banyak varian kepentingan yang harus terakomodir di dalamnya. Penelitian ini bertujuan untuk memudahkan mahasiswa untuk melakukan pemilihan dan supaya terhindar dari kecurangan. Metode Keamanan untuk loggin pada aplikasi menggunakan onetime password karena password akan terus berganti setiap user akan melakukan login. Subjek dari penelitian ini adalah mahasiswa aktif yang akan melakukan pemilihan ketua himpunan, yang awalnya pemilihan dilakukan dengan cara manual menjadi pemilihan dengan cara Electronic Voting berbasis web. Hasil penelitian menunjukan bahwa Pemilihan dengan cara E-voting lebih efisien. Dapat dilihat dari hasil kuesioner yang sudah dilakukan rata rata hasil kuesioner yaitu 84%.
Distribution Model of Personal Protective Equipment (PPE) Using the Spatial Dominance Test and Decision Tree Algorithm Purwayoga, Vega; Yuliyanti, Siti; Nurkholis, Andi; Gunawan, Harry; Sokid, Sokid; Kartini, Nuri
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2471

Abstract

The COVID-19 case has developed positively, but preventive measures must be taken to anticipate SARS-CoV-2 mutations. Anticipation can include policies, preparing health workers, and providing personal protective equipment. Personal Protective Equipment (PPE) availability is a big challenge in handling pandemics, especially COVID-19. The level of need for PPE in an area depends on the number of COVID-19 cases. This research provides a solution to overcome the availability of PPE by applying the concept of cross-regional collaboration. Areas with low COVID-19 case rates can help areas with high COVID-19 case rates by sending PPE assistance. Implementing the cross-regional collaboration concept is assisted by the spatial dominance test algorithm, namely the spatial skyline query. Spatial Skyline Query works by searching for the most ideal area. The ideal area is an area with low COVID-19 case criteria. The low number of positive cases, death cases, probable cases, and close contact cases supports the low number of COVID-19 cases. Areas with the highest number of recovered cases are also priorities. The SSQ model was developed into two models for searching priority areas for PPE assistants. The first model is Sort Filter Skyline 1 (SFS1), and the second is Sort Filter Skyline 2 (SFS2). SFS1 is a form of SFS algorithm optimization that searches for the best 50% of all regions. SFS2 modifies SFS1 by selecting areas whose distance is <= the average distance of the area to the Health Crisis Centre of the Ministry of Health of the Republic of Indonesia. This research involves searching for priority areas and applying a prediction algorithm to extract knowledge built from the prediction model. The algorithm used is C5.0. The data used to apply the prediction algorithm results from the application of SFS1 and SFS2. The results of testing the prediction model by the C5.0 algorithm produced an accuracy of 77.26% for SFS1 data and 92.01% for SFS2. The average rules resulting from the C5.0 algorithm are three for SFS1 and two for SFS2.
Sistem Rekomendasi Pemilihan Siswa Berprestasi MenggunakanMetode Simple Additive Weighting( Studi Kasus : SMK Widya Karya Purwokerto ) Linda Apriyanti; Siti Yuliyanti; Yoga Helfiyan
Jurnal Teknologi Informasi dan Komunikasi Vol. 10 No. 2 (2021): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v10i2.157

Abstract

Selection of outstanding students is very necessary in a school, because schools need to know which students are superior in the school. Problems arise when these developments are not accompanied by a system that supports the selection of high achieving students who are right and according to the criteria. The purpose of writing this thesis is to build a system that can assist teachers in determining student achievement according to the criteria. In this system, the Simple Additive Weighting method is used as a basis for normalizing the inputted weights and is used to determine thestudent's highest score alternative as a system recommendation. The process of determining the decision support system is carried out using the existing value in the report card The results of the decisions obtained from this system indicate that this method is more effective in determining the correct achievement students and according to the criteria for academic scores, activeness scores, attendance values and personality values as a comparison in determining the final result.
E-LEARNING SEBAGAI MEDIA PEMBELAJARAN DI MASA PANDEMI: (Studi Kasus: SMP AL-INAYAH) Siti Yuliyanti; Doni Hermana
Jurnal Teknologi Informasi dan Komunikasi Vol. 10 No. 1 (2021): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v10i1.126

Abstract

The world of education in Indonesia is experiencing a significant development. This development can be seen from the increasingly diverse learning methods used. The method used uses a lot of various media to improve the quality of learning outcomes. The development of various learning media is in line with the increasingly rapid technological advances. Thedynamics of today's technology achieve tremendous acceleration. The technology that was learned several years ago has begun to be replaced with new technology, including various conventional ways of learning. The form of information technology development that can be used as a learning medium is to use e-learning. E-learning is an innovation that can be used in the learning process, not only in the delivery of learning material but also changes in the abilities of various competences of  students. Through e-learning, students not only listen to material descriptions from educators but also actively observe, do, demonstrate, and so on. Teaching material can be virtualized in various formats so that it is more interesting and more dynamic so that it can motivate students to go further in the learning process.
E-COUNSELING STMIK BANDUNG Siti Yuliyanti; Muhamad Lutfirrahman
Jurnal Teknologi Informasi dan Komunikasi Vol. 9 No. 2 (2020): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v9i2.119

Abstract

Konseling adalah proses pemberian bantuan yang dilakukan melalui wawancara konseling oleh konselor kepada individu yang sedang mengalami permasalahan akademik maupun non-akademik. Aktivitas konseling di STMIK Bandung memiliki masalah, yaitu belum tersedianya media khusus untuk melakukan konseling secara online. Hal ini menyebabkan kurangnya efisiensi bagi mahasiswa dalam berkonsultasi secara jarak jauh. Pembangunan E-Counseling dilakukan dengan tahapan analisis terhadap aktivitas konseling di STMIK Bandung, kemudian dilanjutkan dengan perancangan yang terdiri dari pemodelan berorientasi objek, struktur basis data, dan antarmuka aplikasi. Hasil pembangunan E-Counseling STMIK Bandung mendukung aktivitas konseling yang dilakukan secara online, dengan peningkatan efisiensi dan interaktivitas, yang dapat membantu mahasiswa untuk lebih meningkatkan keinginan berkonsultasi dengan dosen ataupun staf akademik sebagai konselor.
IMPLEMENTASI LOGIKA FUZZY PADA REKOMENDASI PEMILIHAN JURUSAN SISWA BARU: STUDI KASUS : SMK TAMAN SISWA RANCAEKEK Siti Yuliyanti; Wulan Suryani; Haris Irnawan
Jurnal Teknologi Informasi dan Komunikasi Vol. 9 No. 1 (2020): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v9i1.109

Abstract

Education plays a very important role in improving the quality of human resources. The process of selecting a course for prospective students at SMK Taman Siswa Rancaekek is still done manually. This research aims to analyze new students in determining the majors that match their talents, interests, and abilities. Therefore, the result of this research is the development of a fuzzy logic implementation system using the Tsukamoto method. The research results show that the Tsukamoto method can provide recommendations based on subjects with high values. The system development method used is the Prototype method, with the system design using procedural techniques, while implementation is done using the PHP programming language.
Co-Authors Abdul Latif Ace Usman Somantri Acep Irham Gufroni Aep Saepudin AHMAD RIZKY FAUZI Al-Husaini, Muhammad Andi Nurkholis Asep Mulyana BISRY, AHMAD Dani Pradana Dede Suhendar Dedy Apriadi Dedy Apriyadi Dewi Lestari Dewi, Euis Nur Fitriani Doni Hermana Doni Hermana Ermanu Azizul Hakim Erna Yayuk Fiitriani Dewi, Euis Nur Fitriani Dewi, Euis Nur Gini Abdul Azis Hadraeni, Sopi Nuryani Hamdan Arsyad Haris Irnawan Haris Irnawan Haris Irnawan Harry Gunawan Herlina, Anita Hermansyah, Aam Heru Sukoco Kartini, Nuri Linda Apriyanti Linda Apriyanti Linda Apriyanti Lukmaba, Hen Hen Maarip, Syamsul Miqdad, Salman Mira Mustika Febikusuma Muhamad Lutfirrahman Muhamad Luthfir Rahman Muhammad Lutfirrahman Muhammad Salman Alfarisi Nopebrian, Adliani Awalia Nur Widiyasono, Nur Nuryadin, Ardhan Dimas Purwayoga, Vega PUSPA CITRA Rachman, Andi Nur Radityo Yoga Pratama Rahmat Zaenal Ramdani, Cecep Muhamad Sidik Ramdhani, Gilang Ria Arista Asih Rizal, Randi Rizky Sartika, Tika Septi Asriani, Aveny Shofa, Rahmi Nur SITI SHOLIHAH Sokid, Sokid Syifa Hasni Taufik Djatna Ula, Diah Hidayatul Uro Abdrohim Wardani, Yusrima Syamsina Wulan Suryani Wulan Suryani Yoga Helfiyan Yoga Helfiyan Zakwan Gusnadi