Article Per Year (5 Year)
p-Index From 2021 - 2026
3.394
P-Index
This Author published in this journals
All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Komputasi Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknoinfo Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Journal Social Science And Technology For Community Service Jurnal Teknologi Jurnal Pepadun
Heningtyas, Yunda
Unknown Affiliation
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mechanical Engineering Other

Published : 37 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 37 Documents
Search

 1   2   3   4 
PENGEMBANGAN SISTEM INFORMASI MONITORING TUGAS AKHIR (MONITA) JURUSAN ILMU KOMPUTER FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM UNIVERSITAS LAMPUNG Dimas Aji Sukma; Anie Rose Irawati; Yunda Heningtyas; Didik Kurniawan
Jurnal Pepadun Vol. 1 No. 1 (2020): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (301.187 KB) | DOI: 10.23960/pepadun.v1i1.10

Abstract

The 2016 Academic Regulations of University of Lampung article 48 stated that; students are obligated to finish their thesis to be avowed as a graduate of a certain bachelor degree. In the Computer Science Department, theses are managed by the thesis coordinator. Thesis coordinator has several tasks, including monitoring the thesis progress of each student. However, in practice, the monitoring process can not be performed easily. Therefore, a thesis monitoring information system is expected to support the thesis coordinator and thesis supervisors in the Computer Science Department on conducting thesis monitoring, as well as accommodating students in terms of administration ease. This research has successfully generated a Thesis Monitoring Information System developed according to the user requirements, by implementing PHP, MySQL, and Nexmo API.
KUALITAS LAYANAN WEBSITE PERPUSTAKAAN PERGURUAN TINGGI DI LAMPUNG MENGGUNAKAN METODE WEBQUAL MODIFIKASIAN DAN IMPORTANCE PERFORMANCE ANALYSIS (IPA) Ridzana Wulantika; Tristiyanto Tristiyanto; Yunda Heningtyas
Jurnal Pepadun Vol. 1 No. 1 (2020): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (489.737 KB) | DOI: 10.23960/pepadun.v1i1.12

Abstract

Library website is used as a searching platform of literature information for easier and faster usage. This study aims to evaluate of website services using modified webqual and IPA methods. The library website that will be evaluated are the website of the University of Lampung (Unila) library, Lampung State Islamic University (UIN), Sumatra Institute of Technology (ITERA), Lampung State Polytechnic (Polinela) and Malahayati University (Unmal). Total of analyzed respondents was 219. Data analysis methods used in this study was structural equation models (SEM) with the Partial Least Square (PLS) approach. The result shows that the interaction quality and empathy gives a great influence to student’s satisfaction. In addition, the results of the Importance Performance Analysis (IPA) test result found user friendly website attributes, password and contact person availability, service satisfaction, administrator's response, hospitality and patience influencing to student’s satisfaction in Unila, UIN, Itera, Polinela and Unmal.
PENERAPAN ALGORITMA BRUTE FORCE PADA MENU SEARCH WEBSITE "CALONKU" DALAM RANGKA PEMILU BERBASIS WEB Yola Rahmawati; Irwan Adi Pribadi; Yunda Heningtyas
Jurnal Pepadun Vol. 2 No. 1 (2021): April
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1058.254 KB) | DOI: 10.23960/pepadun.v2i1.36

Abstract

General elections are a means of people's involvement in the government process. Democratic countries, including Indonesia, conduct general elections. General election does not always go smoothly, at times tinged with some constraints. The lack of information has prompted a platform to contain the complete information that voters need. Website "Calonku" was created to meet the shortage of such information. In this study, the website "Calonku" implements the algorithm in its search feature, brute force deemed appropriate for solving problems using a straightforward approach. This research discusses the brute force algorithm's appropriate level and effectiveness on the "Calonku" system. Testing the brute force algorithm's performance is by calculating the recall, precision, and accuracy. This test calculates the similarity of each document to the given query. Similarity calculation will produce a weight on each paper that determines how relevant it is to the question. In this study, the average Accuracy value was 0.76 Recall of 0.85, and an average Precision of 0.83.
AUDIT LAYANAN TEKNOLOGI INFORMASI RUMAH SAKIT XYZ MENGGUNAKAN FRAMEWORK COBIT 5.0 (CONTROL OBJECTIVE FOR INFORMATION AND RELATED TECHNOLOGY) Dwi Tia Shavera; Didik Kurniawan; Yunda Heningtyas
Jurnal Pepadun Vol. 2 No. 2 (2021): August
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (229.724 KB) | DOI: 10.23960/pepadun.v2i2.76

Abstract

XYZ Hospital requires information technology to carry out all activities as supporting health services. Information technology service audit is needed to determine the extent of information technology services at the XYZ Hospital. This study uses the COBIT 5 framework to determine the extent of information technology capability levels at the XYZ Hospital. Data from this study were obtained based on the results of interviews, observations, and questionnaires. The results show that the capability level of the findings in the company is 2.7 which means it is at level 3 (Established). Thus, the applied process conditions already have a standard and are able to achieve the results of the processes implemented. The results of the capability level of the whole process have not reached the desired level. This difference occurs because several processes in the IT field have not been carried out maximally, there is no scheduling, review, and report on the results of problem solving.
Pelatihan Pembuatan Video Profil Usaha Kecil Menengah di Pekon Wonodadi Induk, Kecamatan Gadingrejo, Kabupaten Pringsewu Admi Syarif; Yunda Heningtyas; Aristoteles Aristoteles; Dewi Asiah Shofiana
Jurnal Pengabdian Kepada Masyarakat (JPKM) TABIKPUN Vol. 1 No. 1 (2020)
Publisher : Faculty of Mathematics and Natural Sciences - Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpkmt.v1i1.8

Abstract

Video profil menjadi media yang semakin banyak digunakan dalam menyampaikan informasi terkait suatu organisasi, produk, ataupun jasa, terutama di era digitalisasi seperti saat ini. Penggunaan video profil di bidang usaha industri dikenal sebagai salah satu teknik mempromosikan produk secara singkat dan efisien, serta mampu menjangkau kalangan yang lebih luas. Pekon Wonodadi merupakan desa binaan yang memiliki banyak usaha kecil dan menengah yang dibangun oleh masyarakat. Sayangnya, penjualan dan teknik promosi yang dilakukan oleh pelaku usaha Pekon Wonodadi masih secara konvensional dan terbatas. Kegiatan pengabdian kepada masyarakat ini memberikan pelatihan kepada masyarakat di salah satu desa binaan Universitas Lampung, yaitu Pekon Wonodadi, terkait pembuatan video profil usaha kecil dan menengah menggunakan Filmora 9. Kegiatan pelatihan yang dilaksanakan dalam kurun waktu 6 bulan telah berhasil meningkatkan pengetahuan pelaku usaha Pekon Wonodadi serta membantu mereka untuk dapat memperluas promosi produknya dengan pengembangan video yang dapat diunggah di media sosial maupun situs lainnya.
IMPLEMENTASI DENSITY-BASED CLUSTERING PADA SEGMENTASI CITRA Betta Fish Yunda Heningtyas; Fathur Rahmi; Kurnia Muludi
Jurnal Teknoinfo Vol 16, No 1 (2022): Januari
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v16i1.1273

Abstract

Pada masa pandemi COVID-19, peminat ikan hias semakin meningkat jumlahnya, terutama peminat ikan hias spesies Betta Fish. Betta Fish merupakan jenis ikan hias dengan spesies yang beragam dengan keindahan warna dan morfologi tubuh, terutama bentuk ekornya. Semakin beragam corak warna ikan dan bentuk ekor yang unik, semakin mahal harga jual dari ikan hias jenis ini. Permintaan pasar terhadap ikan Betta Fish semakin tinggi sehingga menyebabkan harga jual Betta Fish juga meningkat. Namun, tidak semua pecinta ikan hias mengenali nama spesies dari ikan Betta Fish. Untuk itu, diperlukan sebuah sistem berbasis pattern recognition yang dapat mengenali spesies Betta Fish. pattern recognition memiliki beberapa tahapan, yaitu segmentasi, ekstraksi, dan klasifikasi. Penelitian ini bertujuan untuk memisahkan (segmentasi) objek dengan background pada citra digital. Dataset yang digunakan berjumlah 160 citra dengan jumlah citra untuk setiap spesies adalah 40 citra. Spesies Betta Fish yang digunakan adalah Halfmoon, Double Tail, Serit dan Plakat. Tahapan pertama dengan mengonversi citra menjadi model warna saturation dan intensity. Metode yang digunakan pada proses segmentasi adalah Density-Based Clustering. Density-Based Clustering merupakan metode segmentasi dengan cara membentuk cluster berdasarkan tingkat kepadatan dari area objek. Proses segmentasi menggunakan metode Density-Based Clustering mencapai tingkat akurasi sebesar 92,82%.
Studi Mobile Commerce Di Bandar Lampung Tristiyanto Tristiyanto; Syintia Dwi Nurrahmi; Yunda Heningtyas
Jurnal Komputasi Vol 9, No 1 (2021): Komputasi
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v9i1.2741

Abstract

The online shopping process in Bandar Lampung is facilitating by mobile commerce online shopping. The factor of using online shopping mobile commerce has never been analyzed based on the public perception in Bandar Lampung. This research discusses using mobile-commerce online shopping using the UTAUT2 model with Perceived Risk manifestations, namely Security Risk and Privacy Risk. The mobile commerce applications analyzed were Shopee, Lazada, Tokopedia, Bukalapak, and Blibli. The purpose of this research was to determine the UTAUT2 variable with the manifestation of Perceived Risk, namely Security Risk and Privacy Risk, which affect the use of online shopping mobile commerce. The data analysis method used is Structural Equation Modeling (SEM) with Partial Least Square (PLS) approach. The total number of respondents obtained was 183 respondents. The data tested were 373 data. This research results from the factors that most influence the behavioral intention and use behavior of mobile commerce online shopping is a habit.
Klasifikasi Image Tumbuhan Obat (Keji Beling) Menggunakan Artificial Neural Network Rizky Prabowo; Yunda Heningtyas; machudor Yusman; Muhammad Iqbal; Ossy Dwi Endah Wulansari
Jurnal Komputasi Vol 9, No 2 (2021)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v9i2.2868

Abstract

Indonesia sebagai salah satu negara tropis memiliki potensi hayati yang sangat besar. Salah satu potensi yang banyak dimiliki di Indonesia adalah tumbuhan obat. Salah satu cara mengenali jenis tumbuhan obat yaitu melalui bentuk fisik daun. Implementasi teknologi yang saat ini banyak berkembang, maka masyarakat akan banyak terbantu dalam mengenali tumbuhan obat disekitarnya. Gambar atau citra daun tanaman obat digunakan sebagai data yang mewakili jenis tumbuhan obat tertentu. Data yang digunakan merupakan data yang telah diberikan perlakuan khusus dalam pengambilan gambar atau citra. Praprosesing dilakukan pada data yang didapat sebagai langkah awal pemrosesan data. Pada penelitian ini, data yang digunakan merupakan data primer dengan total 2000 data. Data yang digunakan dibagi menjadi 1800 data latih, 160 data validasi dan 200 data testing. Data training digunakan untuk membentuk pola model. Model selanjutnya di validasi dengan menggunakan data validasi. Model dibangun menggunakan Convulution Neural Network yang merupakan varian dari Artificial Neural Network. Hasil akurasi penelitian 82.5% dengan kecepatan pembangunan model dengan 10 epoch adalah 139 second per epoch.
Penerapan Teknologi Kesehatan Tepat Guna di Era Industri 4.0 dalam Perlindungan Anggrek Alam Terhadap Infeksi Penyakit di Kebun Raya Mahfut Mahfut; Yunda Heningtyas; Sukimin
Jurnal SOLMA Vol. 10 No. 1 (2021)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v10i1.5439

Abstract

The existence of native orchids in the Liwa Botanical Garden is one of the wealth of native flora of Southern Sumatra that needs to be preserved. Based on the identification results, it is known that some individual orchids show symptoms of virus infection. The aim of this research is to find the appropriate, effective, and efficient method of controlling viral diseases. The method used is through the approach of several scientific fields such as biology, plant protection, and computer science. The application of endophytic mycorrhizal bio-agent resistance induction as a biocontrol agent capable of suppressing viral disease replication in plants can be used as a cheap and environmentally friendly method compared to pesticides. In addition, the use of an expert system method for diagnosing plant diseases with a web-based case-base reasoning method. This service is important considering that the botanical gardens do not know the safe and environmentally friendly methods of controlling disease in orchids. This activity is a vehicle for sharing good knowledge between the service team and the manager of the Liwa Botanical Garden. With the development of this method, it is hoped that the detection process of controlling viral diseases in natural orchids will be more accurate and faster.
Goldfish (Carassius auratus) Segmentation Using Expectation Maximization (EM) Method Yunda Heningtyas; Rico Andrian; Akmal Junaidi; S Susiyani
Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v4i2.2387

Abstract

Carassius Auratus, also known as goldfish, is the most commonly kept ornamental fish in an aquarium that has a variety of species, shapes, and colors. Goldfish anatomy is almost similar between species so it is difficult to distinguish. Goldfish identification has several processes to determine the level of success. One process that is very important for identification is segmentation. Segmentation is the stage to separate objects and backgrounds. Good segmentation results will provide maximum feature extraction results and it should impact on optimal identification results. This research aims to create a system that can be used to segment goldfish fish objects in the background using the Expectation-Maximization method. Expectation-Maximization is an algorithm for estimating a parameter in a function by using Maximum Likelihood Estimation (MLE). Goldfish fish species total of 72 images each totaling 216. Goldfish segmentation evaluation results using the Expectation-Maximization method can work well with an accuracy rate of 89.14%. Analysis of the results of the imperfect fish image segmentation is influenced by white light and the background color is almost similar to that of the goldfish. The results of the best goldfish image segmentation are influenced by a good goldfish image when the image capture process at the time of the screenshot has a stable focus and is not blurry so that the edges of the goldfish object appear clearly and sharply.
Co-Authors Admi Syarif Akmal Junaidi Amanto Amanto Amanto Amanto Andrian, Rico Arief Laksana arien ferlina putri Aristoteles, Aristoteles Astria Hijriani Astria Hijriani Bambang Hermanto Dimas Aji Sukma Dwi Tia Shavera Fanni Lufiana Fanni Lufiana Fathur Rahmi Favorisen R. Lumbanraja Fertilia Ikashaum Gisella Roliani Hadad, Azizal Hanan Risnawati Heri Satria Heri Satria Hermawan, Ghina Aramita Igit Sabda Ilman Indah Mayatika Sihaloho Irawati, Anie Rose Irwan Adi Pribadi Irwan Adi Pribadi Kamisah Delilawati Pandiangan Kamisah Delilawati Pandiangan Kurnia Muludi Leila Fauziah Lofanny Wahyu Dandi Machudor Yusman Mahfut Marjunus, Roniyus Maya Asterita Muhammad Iqbal Muhammad Iqbal Muhammad Yusuf Amran Muhaqiqin Muhaqiqin Noviyanti Noviyanti Ossy Dwi Endah Wulansari Ossy Dwi Endah Wulansari, Ossy Dwi Endah Ossy Dwi Endah, Ossy Dwi parabi, M.Iqbal Prabowo, Rizky Prabowo, Rizky Rahman Taufiq Rahmi Permata Hati Ridho Sholehurrohman Ridzana Wulantika S Susiyani Shofiana, Dewi Asiah Solly Aryza Sukimin Syintia Dwi Nurrahmi Syintia Dwi Nurrahmi Tris tiyanto Tristiyanto Tristiyanto YOHANA TRI UTAMI, YOHANA TRI Yola Rahmawati Yusikania Dwi Putri