Article Per Year (5 Year)
p-Index From 2021 - 2026
1.77
P-Index
This Author published in this journals
All Journal PROSIDING Prosiding Seminar Nasional Indonesian Journal of Applied Informatics Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat GERVASI: Jurnal Pengabdian kepada Masyarakat International Journal of Economics, Business and Accounting Research (IJEBAR) Journal of Intelligent Decision Support System (IDSS) Multicience INTELEKTIVA Muria Jurnal Layanan Masyarakat Jurnal Teknologi Informasi Cyberku Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Proceeding of International Conference Health, Science And Technology (ICOHETECH) SATIN - Sains dan Teknologi Informasi
Wiji Lestari
Universitas Duta Bangsa Surakarta
Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Public Health Social Sciences Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
DETEKSI SIDIK JARI SESEORANG DENGAN MENGGUNAKAN MATHEMATICAL MORPHOLOGY DAN EDGE DETECTION Pipin Widyaningsih, Wiji Lestari
PROSIDING Vol 1, No 01 (2014): Prosiding Seminar Nasional Vol.01 No.01. 2014
Publisher : PROSIDING

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (14.618 KB)

Abstract

Penelitian ini bertujuan menghasilkan sistem deteksi sidik jari seseorang dengan mengunakan pengolahan citra mathematical morphology dan edge detection. Sidik jari akan diidentifikasi polapolanya sesuai dengan citra sidik jari acuan. Dengan mengetahui pola-pola sidik jari seseorang dapat digunakan sebagai acuan untuk analisis lanjut untuk karakteristik biologis maupunpsikologis. Data masukan digunakan citra sidik jari yang sudah diproses awal dengan digitalisasi citra. Proses selanjutnya citra diubah ke dalam skala keabuan dengan ukuran pixel tertentu.Proses mathematical morphology yang digunakan terdiri dari dilasi dan erosi. Dilasi dan erosi digunakan untuk mengolah citra sidik jari agar mudah dideteksi. Deteksi sidik jari menggunakan metode edge detection yaitu Prewitt.Hasil penelitian berupa deteksi sidik jari seseorang yang berguna untuk identifikasi diri dan analisis lanjut atau penelitian lanjut yang menggunakan datapola-pola sidik jari. Dari hasil penelitian dapat dibuktikan bahwa penggunaan mathematical morphology memudahkan deteksi sidik jari. Tujuan jangka pendek penelitian ini adalah tersedianya alat deteksi pola-pola sidik jari seseorang. Alat ini berguna bagi sekolah, perguruan tinggi maupun instansi-instansi terkait. Tujuan jangka panjangnya adalah adanya software gratisuntuk identifikasi pola-pola s sidik jari seseorang.Kata kunci :Sidik Jari, Mathematical Morphology, Dilasi, Erosi, Edge Detection
DETEKSI SIDIK JARI SESEORANG DENGAN MENGGUNAKAN MATHEMATICAL MORPHOLOGY DAN EDGE DETECTION Pipin Widyaningsih, Wiji Lestari
Prosiding Seminar Nasional Vol 1, No 1 (2014): (Bidang Sains dan Teknologi) Seminar Nasional Call For Papers UNIBA
Publisher : Prosiding Seminar Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (14.618 KB)

Abstract

Penelitian ini bertujuan menghasilkan sistem deteksi sidik jari seseorang dengan mengunakan pengolahan citra mathematical morphology dan edge detection. Sidik jari akan diidentifikasi polapolanya sesuai dengan citra sidik jari acuan. Dengan mengetahui pola-pola sidik jari seseorang dapat digunakan sebagai acuan untuk analisis lanjut untuk karakteristik biologis maupun psikologis. Data masukan digunakan citra sidik jari yang sudah diproses awal dengan digitalisasi citra. Proses selanjutnya citra diubah ke dalam skala keabuan dengan ukuran pixel tertentu. Proses mathematical morphology yang digunakan terdiri dari dilasi dan erosi. Dilasi dan erosi digunakan untuk mengolah citra sidik jari agar mudah dideteksi. Deteksi sidik jari menggunakan metode edge detection yaitu Prewitt.Hasil penelitian berupa deteksi sidik jari seseorang yang berguna untuk identifikasi diri dan analisis lanjut atau penelitian lanjut yang menggunakan data pola-pola sidik jari. Dari hasil penelitian dapat dibuktikan bahwa penggunaan mathematical morphology memudahkan deteksi sidik jari. Tujuan jangka pendek penelitian ini adalah tersedianya alat deteksi pola-pola sidik jari seseorang. Alat ini berguna bagi sekolah, perguruan tinggi maupun instansi-instansi terkait. Tujuan jangka panjangnya adalah adanya software gratis untuk identifikasi pola-pola s sidik jari seseorang.
USAHA PENGERINGAN EMPON-EMPON BAHAN OBAT HERBAL DI KECAMATAN KISMANTORO KABUPATEN WONOGIRI PROVINSI JAWA TENGAH Susanto, Rudi; Lestari, Wiji; Nugroho, Novemy Triyandari
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol 2, No 1 (2018): GERVASI: JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (904.086 KB)

Abstract

Mitra kegiatan pengabdian adalah UD Jahe Wangi dan UD Tani Tlaten yang bergerak pada bidang usaha pengeringan empon-empon untuk bahan obat herbal. Mitra berlokasi di Kecamatan Kismatoro Kabupaten Wonogiri Provinsi Jawa Tengah. Permasalahan mitra meliputi bidang produksi, manajemen, dan pemasaran. Metode pelaksanaan pengabdian terdiri dari empat tahap, yaitu: (1) Analisis kondisi dan kebutuhan mitra; (2) Penyusunan materi; (3) Pelaksanaan pelatihan yang terdiri dari pembuatan SOP pengolahan empon-empon, pelatihan pembukuan usaha, dan pelatihan pemasaran secara online; dan (4) Evaluasi. Hasil kegiatan pengabdian adalah: (1) Meningkatnya pemahaman mitra dalam bidang produksi, manajemen, dan pemasaran dengan rata-rata sebesar 22,5%; dan (2) Mitra dapat membuat SOP pengolahan empon-empon,  pembukuan usaha serta melakukan pemasaran secara online.Kata Kunci: empon-empon, obat herbal, produksi, manajemen, pemasaran.
Pelatihan Manajemen Koperasi Dan Aplikasi Microsof Office Bagi Pengurus Koperasi Simpan Pinjam PKH Wirun Wijaya, Kecamatan Mojolaban, Kabupaten Sukoharjo Novemy Triyandari Nugroho; Rudi Susanto; Wiji Lestari
Muria Jurnal Layanan Masyarakat Vol 1, No 2 (2019): September 2019
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1099.496 KB) | DOI: 10.24176/mjlm.v1i2.3557

Abstract

The purpose of this community service activity is to provide training in the principles of koperasi management and training in the use of microsof office for bookkeeping of koperasi. Partner in this activity is KSP PKH Wirun Wijaya. The stages of training used are preparation of materials and schedules, equipment preparation, training and evaluation. The results of this activity are 1) The average percentage increase in the value of participants compared to the pre-test value on management aspects and information technology aspects is 41.31%; 2) Training participants are able to understand the principles of koperasi management and are able to use information technology, especially using microsof office software in conducting koperasi bookkeeping
PENGUATAN PEMASARAN BATIK CIPRAT KARYA DIFABEL MELALUI SOCIAL MEDIA DAN WEBSITE Rudi Susanto; Novemy Triyandari Nugroho; Wiji Lestari
Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Vol. 4 No. 3 (2020)
Publisher : Universitas Ahmad Dahlan, Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jp.v4i3.2445

Abstract

Mitra kegiatan pengabdian masyakat ini adalah KSM Karya Barokah yang bergerak pada usaha produksi batik ciprat karya difabel yang dipasarkan dengan nama batik ciprat pucung. KSM Karya Barokah berada di Desa Pucung, Kecamatan Kismantoro, Kabupaten Wonogiri. Tujuan kegiatan pengabdian masyarakat ini supaya mitra dapat memasarkan produknya melalui social media instagram dan website. Metode pelaksanaan pengabdian masyarakat terdiri dari 1) Persiapan, 2) Pelatihan, 3) Evaluasi dan 4) Penndampingan. Hasil Kegiatan adalah sebagai berikut: 1) KSM Karya Barokah dapat melakukan pemasaran online dengan social media dan website dengan mengelola akun instagram @batik_ciprat_pucung dan website http://batikcipratpucung.com, 2) Pengetahuan mitra terkait pemasaran online dengan social media dan website meningkat sebesar 25.71%. Hasil kegiatan pengabdian masyakat ini menunjukan bahwa kegiatan pengabdian masyarakat memberikan manfaat bagi mitra.
IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK FOR CLUSTTERING OF STUDENTS INTERESTING IN COMPUTING FIELDS WIJI LESTARI; SRI SUMARLINDA
INTERNATIONAL JOURNAL OF MULTI SCIENCE Vol. 1 No. 05 (2020): INTERNATIONAL JOURNAL OF MULTISCIENCE - AUGUST EDITION
Publisher : CV KULTURA DIGITAL MEDIA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The computing field interested is important for students of the Faculty of Computer Science. Student interest also relates to research for the thesis required for graduation. At the Faculty of Computer Science, University of Duta Bangsa Surakarta, there are several research topics that are of interest to students including: Information Systems, Decision Support Systems, Multimedia, Expert Systems and Intelligent Information Systems. Clustering is a method for grouping a number of data into several clusters or groups. Data that have closeness will be grouped into one cluster. Competitive Network is part of Artificial Neural Networks with unsupervised learning. This algorithm can be used for clustering. This study aims to produce a clustering system for mapping students interests on research topics at the Faculty of Computer Science, Duta Bangsa University Surakarta with a competitive network artificial neural network. The input data used were the results of the student's focus questionnaire on research topics which would be grouped into 5 clusters. The clustering process uses the Competitive Network algorithm with clustering parameters of the number of clusters 5, 1000 and Kohonen parameter of 0.01
CLUSTERING MODEL OF LECTURERS PERFORMA IN PUBLICATION USING K-MEANS FOR DECISION SUPPORT DATA WIJI LESTARI; SRI SUMARLINDA
INTERNATIONAL JOURNAL OF MULTI SCIENCE Vol. 1 No. 10 (2021): INTERNATIONAL JOURNAL OF MULTISCIENCE - JANUARY EDITION
Publisher : CV KULTURA DIGITAL MEDIA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to produce a clustering model using the K-Means algorithm built to map the performance of lecturers' publications. The method used was research and development which includes the stages of data collecting, data preprocessing, clustering process and cluster analysis. The input data consists of 87 with 8 attributes, namely number of articles in Sinta indexed journal, number of articles in Scopus indexed journal, number of citation in Scopus, H-index in Scopus, number articles in Google Scholar indexed journal, number of citation in Googe Scholar, H-index in Google Scholar and H-index10 in Google Scholar. The K-Means algorithm was used with 3 clusters and 100 epoches. The results of clustering were distributed in 3 clusters, namely cluster 1 with 17 members, cluster 2 with 32 members and cluster 3 with 38 members. The results of the cluster analysis with the identification of cluster members and the value of the cluster centroid indicated that cluster 1 is lecturers with relatively high publication performance performance and cluster 3 shows relatively low publication performance performance. The data from clustering results can be used for decision support model input data for broader lecturer performance performance.
IMPLEMENTATION OF K-NEAREST NEIGHBOR (KNN) AND SUPORT VECTOR MACHINE (SVM) FOR CLASIFICATION CARDIOVASCULAR DISEASE WIJI LESTARI; SRI SUMARLINDA
INTERNATIONAL JOURNAL OF MULTI SCIENCE Vol. 2 No. 10 (2022): INTERNATIONAL JOURNAL OF MULTISCIENCE - JANUARY, 2022 EDITION
Publisher : CV KULTURA DIGITAL MEDIA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Data mining and machine learning are two tools that play an important role in the study of data analysis and decision systems. Classification is a function of data mining. In the classification function, sorting or mapping occurs based on the proximity or similarity of data attributes to the specified label. K-Nearest Neighbor (KNN) and Support Vector Machine (SVM). The KNN algorithm is a non-parametric method used for classification and regression. Cardiovascular disease prediction models with KNN and SVM algorithms are used to identify and predict cardiovascular disease. The KNN algorithm uses Euclidian distance for the prediction process of training data. The SVM algorithm uses a hyperplane for the data prediction training process. The dataset used is 400 with 7 attributes, namely age, gender, systolic blood pressure, cholesterol, talach, oldpeak and slope. The results of the implementation of the KNN and SVM algorithms produce performance with an accuracy of 75.75% on KNN and 76.00% on SVM. The precision value is 76.78% for KNN and 83.93% for SVM. Meanwhile, the recall resulted in 77.14% for KNN and 67.14% for SVM.
THE GUIDANCE OF TECHNOPRENEURSHIP USING EXPERT SYSTEM COMPUTING APPROACH BASED ON ENTREPRENEURIAL VALUES AND MULTIPLE INTELLIGENCES Indra Hastuti; Singgih Purnomo; Wiji Lestari
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 2, No 03 (2018): IJEBAR, VOL. 02, ISSUE 03, September 2018
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v2i3.336

Abstract

This study aims to build the Guidance of technopreneurship, especially Information Technology (IT) technopreneurship using expert system approach based on entrepreneurial values and multiple intelligences.The research consists of several steps : system analysis and design, system development and test and implementation system.The result is the guidance of technopreneurship using an expert system. Expert system consists of expertise domain, knowledge representation, rules, and input and output data. Data input consists of indicators of entrepreneurial values and multiple intelligences. The data output consists of conformity with 8 IT tecnopreneurships ie Software Application Developer, Data Analyst, System Analyst, Software Engineering, Computer Network Engineer, Graphics Designer & Animator, Multimedia System Developer and Embedded & Computer System Engineer.he test results with internal testing and external testing show the system works well. Keyword : Guidance;Technopreneurships; Information Technology Expert System; Entrepreneurial Values; Multiple Intelligences
THE USER SATISFACTION LEVEL OF ELEARNING FOR BUSINESS AND MANAGEMENT SUBJECTS BASED ON TECHNOLOGY ACCEPTANCE MODEL Indra Hastuti; Wijiyanto Wijiyanto; Wiji Lestari; Sri Sumarlinda
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 3, No 03 (2019): IJEBAR, VOL. 03 ISSUE 03, SEPTEMBER 2019
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v3i03.491

Abstract

Elearning is the implementation of information technology in learning. Elearning was used in courses in Introduction to Business and Management, Business Process Management and Ebusiness. This study aims to use the Technology Acceptance model (TAM) to measure the level of user satisfaction. TAM method is used to determine the relationship between content, accuracy, format, ease of use, timelines, organizational support, user attitudes towards the information system (user attitude towards information). system) and perceived attitude of top management on the level of satisfaction of using e-learning on learning business courses and management at the Faculty of Computer Science, Duta Bangsa University Surakarta. This research is a descriptive study using the modified End User Computing Satisfaction (EUCS) approach method. The results of the evaluation study show that the 5 variables (content), the level of accuracy of the system, format, easy of use, and timeliness significantly influence user satisfaction. While organizational support variables have a significant effect on user satifaction but variable usser attitude toward information system and perceived attitude of top management has an effect but not significant to the support organization. Key words : elearning, user satisfaction, technology acceptance model, end user computing satisfaction.
Co-Authors Anggit Nurhidayah Dimas Agih Ramadhan Hafizh Hanan Supriyanto Hasanah, Herliyani Indra Hastuti Indra Hastuti INDRA HASTUTI Novemy Triyandari Nugroho Purwanto, Eko Rudi Susanto Singgih Purnomo Sri Sumarlinda Sri Sumarlinda Stefanus Santosa Wijiyanto Yonathan Purbo Santosa