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All Journal International Journal of Electrical and Computer Engineering Majalah Forum Teknik UGM JURNAL SISTEM INFORMASI BISNIS Jurnal Sistem Komputer Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Syntax Literate : Jurnal Ilmiah Indonesia Jurnal Pengembangan Rekayasa dan Teknologi Jurnal Ilmu Teknik dan Komputer Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prosiding Seminar Nasional Unimus
Oky Dwi Nurhayati
Departemen Teknik Komputer, Fakultas Teknik, Universitas Diponegoro
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Transportation

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Pendekatan Metode Pohon Keputusan Menggunakan Algoritma ID3 Untuk Sistem Informasi Pengukuran Kinerja PNS Sidette, Julce Adiana; Eko, Eko; Nurhayati, Oky Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1049.686 KB) | DOI: 10.21456/vol4iss2pp75-86

Abstract

Decision tree method is a classification method that has been widely used for the solution of problems of classification. Decision tree classification provides a rapid and effective method. The approach has been proven decision tree method can be applied in various fields of life. Capability classification is indicated by the decision tree method is what encourages authors to use decision tree methods approach to measure the performance of civil servants. To build a decision tree induction algorithms used. In this study, the ID3 algorithm method is used to construct a decision tree. Starting with the data collecting training samples and then measuring the entropy and information gain. Information Gain value will be used as the root of a decision tree. And translates it into a decision tree classification rules. The results show that the decision tree method is used to produce classification rules into groups employee performance Good and Bad. The resulting rules are used to measure the performance of employees and classifying employees into two groups above are constructed in an information system. Information system built to assist management in making more objective assessment process.    *) Penulis korespondensi: utje_caem@yahoo.com   Keywords: ID3 Algorithm; Decision tree; Employee performance
Implementasi Metode Dempster Shafer Analytic Hierarchy Process Untuk Pemilihan Program Studi Calon Mahasiswa Pangestika, Menur Wahyu; Nurhayati, Oky Dwi; Suryono, Suryono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1080.968 KB) | DOI: 10.21456/vol6iss1pp11-20

Abstract

Methods Dempster Shafer Analytic Hierarchy Process is used to rank or sort information based on a number of criteria. DS/AHP advantage of Pairwise Comparison, Consistency Ratio, and Dempster Rule's of Combination, which is used to generate information systems in the form of a sequence of courses as consideration for the selection of majors for prospective students. The sample used in this study were 29 students of five faculty at the University of Diponegoro. The data used is the standard minimum value of each faculty and the average value of the semester report card 1-5 Mathematics, Indonesian, English, Biology, Chemistry, and Physics. Results of this study was the software selection study program that gives students the value of trust in each department. Testing the validity of the value of the accuracy of the system is done by comparing the majors were chosen with the recommendation majors produced by the system, resulting accuracy of 79.33%.
Penerapan Cutomer Relationship Management (CRM) Dengan Menggunakan Metode Analytic Network Process (ANP) Pada Perusahaan Ritel Nofiyati, Nofiyati; Sediyono, Eko; Nurhayati, Oky Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 3 (2013): Volume 3 Nomor 3 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol3iss3pp

Abstract

Retail industry or retail business is a fast-growing business in the midst of global competition conditions. One strategy to attract more consumers are Customer Relationship Management (CRM). The successful implementation of CRM in the enterprise is influenced by several environmental perspectives, strategies, customers and products / services, processes, participants, infrastructure, and information technology are integrated in the framework of Work System (WS). This research was carried out by applying the method of Multiple Criteria Decision Making (MCDM) that is able to accommodate the outer and inner linkage from multiple nodes / indicators are considered, namely the Analytical Network Process (ANP) to rank the quality of implementation CRM in retail companies and strong influential node / indicator of the best retail among three alternative the consisting of Alfamart, Indomaret and Smesco mart. From the results of application ANP method, obtained the rank quality of implementation CRM in retail companies with first rank is Indomaret the value of 1.0000; and the second is Alfamart with a value 0.9575; and the third is Smesco mart with a value of 0.8034. While node / indicator strong influence on the the best retail is level of chaos, long and short term planning, customer service, system integration, appropriate skills, technical infrastructure, easily of use and accessibility of information.   Keywords: Ritel, Customer Relationship Management (CRM), Analytic Network Process (ANP), Kerangka Work System (WS).
Analisis Sentimen Berbasis Ontologi di Level Kalimat untuk Mengukur Persepsi Produk Akbar, Agus Subhan; Sediyono, Eko; Nurhayati, Oky Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1207.424 KB) | DOI: 10.21456/vol5iss2pp84-97

Abstract

The purpose of this research is to do sentiment analysis on tweets data retrieved using ontology framework and using naïve bayes classifier algorithm for classification process. This study is based on the habits of twitter users who frequently writes opinion, expression, or sentiment on a specific product, especially smartphones. These tweets can be used as a basis for sentiment analysis on a particular product. The method used in this study include the use of ontology framework for tweets retrieval that match the domain of the discussion and the use of naïve bayes classification algorithm for data classification. Classification process carried past the 3 pieces of layer classification to fine tune the final result of classification. Three layers of classification used include buzz/promo classification (classifying tweets into buzz and not-buzz tweets), subjectivity classification (classifying not-buzz tweets into subjective and objective tweets), and sentiment classification (classifying subjective tweets into positive, negative, or neutral tweets). The resulted software can classify tweets with high accuracy. This software was trained and tested with the composition of 25:75, 50:50, 75:25 from sample data and tested 10 times for each composition. Average accuracy of the system reached 84.16%, 86.15%, and 87.54% for each composition. The result showed that by employing this system, product marketing stakeholders can determine the level of user sentiment expressed in the form of tweets. The method used in this study could be developed to improve the accuracy of classification systems.  
Ekstraksi Ciri Orde Pertama dan Metode Principal Component Analysis untuk Mengidentifikasi Jenis Telur Ayam Kampung dan Ayam Arab Nurhayati, Oky Dwi; Eridani, Dania; Ulinuha, Ajik
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 2 (2019): Volume 9 Nomor 2 Tahun 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (381.017 KB) | DOI: 10.21456/vol9iss2pp133-140

Abstract

Chicken eggs become one of the animal proteins commonly used by people, especially in Indonesia. Eggs have high economic value and have diverse benefits and a high nutritional content. Visually to distinguish between domestic chicken eggs and arabic chicken eggs has many difficulties because physically the shape and color of eggs have similarities. This research was conducted to develop applications that were able to identify the types of domestic chicken eggs and Arab chicken eggs using the Principal Componenet Analysis (PCA) method and first order feature extraction. The application applies digital image processing stages, namely resizing image size, RGB color space conversion to HSV, contrast enhancement, image segmentation using the thresholding method, opening and region filling morphology operations, first order feature extraction and classification using the PCA method. The results of identification of types of native domestic chicken eggs and Arabic chicken eggs using the Principal Component Analysis method showed the results of 95% system accuracy percentage, consisting of 90% accuracy of success in the type of domestic chicken eggs and 100% accuracy of success in the type of Arabic chicken eggs.
Implementasi Adaptive Neuro Fuzzy Inference System untuk Penentuan Status Gizi Balita Baun, Hanna Mariana; Nurhayati, Oky Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 2 (2013): Volume 3 Nomor 2 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (629.092 KB) | DOI: 10.21456/vol3iss2pp116-125

Abstract

Penentuan status gizi balita dilakukan untuk mengatasi permasalahan yang sangat penting dan mendasar dari kesehatan masyarakat karena jika terjadi permasalahan status gizi pada balita, hal ini akan sangat berpengaruh pada tumbuh kembangnya dan bersifat irreversible (tidak dapat pulih). Untuk mengatasi permasalahan tersebut dibuat suatu sistem yang mempunyai kemudahan komputasi dalam pengklasifikasian status gizi. Data dianalisis dengan menggunakan metode Adaptive Neuro Fuzzy Inference System (ANFIS) dengan algoritma hibryda yang melakukan pembelajaran dengan metode Least Square Estimator dan Backpropagation dan pengklusteran dengan menggunakan fuzzy C-means. Tujuan penelitian ini adalah untuk membuat suatu sistem pengukuran dengan menggunakan metode ANFIS untuk penentuan status gizi balita sehingga pengguna dapat dengan mudah untuk melakukan pengukuran status gizi. Hasil evaluasi menunjukan bahwa hasil klasifikasi lebih akurat dibandingkan menggunakan perhitungan manual karena dengan perhitungan ANFIS, kecenderungan nilai rata-rata error dan rata-rata RMSE semakin kecil pada saat jumlah iterasi bertambah dari 200 ke 5000 dengan nilai jumlah input membership function sama dengan 9 dan nilai target error sama dengan 0,1, RMSE dan rata-rata error bernilai 0 dan akurasi total menjadi 81.15% dari 138 total data yang dilatih dan diuji. Penelitian ini menghasilkan tools program untuk penentuan status gizi balita dengan menggunakan metode ANFIS untuk mempermudah pengklasifikasian status gizi balita. Studi kasus yang dilakukan pada Rumah Sakit Umum W.Z. Yohannes Kupang.   Kata kunci : Status gizi; Metode ANFIS; Algoritma hibryda; Fuzzzy C-means
Pengolahan Citra dengan Segmentasi Thresholding untuk Pemilihan Kualitas Telur Asin Nurhayati, Oky Dwi; Afifah, Diana Nur; ., Nuryanto; Rustanti, Ninik
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.251 KB) | DOI: 10.21456/vol8iss1pp42-48

Abstract

Visually, choosing the quality of salted eggs by looking at egg shells is something that is very difficult to do. In addition, the lighting and the weakness of the senses of vision also becomes difficult to see the quality of salted eggs visually. So far, to determine a good salted egg, only known from the weight of eggs. Not all eggs that have mild density have poor quality. So far, suppliers often get eggs that have bad quality (broken) so that when processed will produce defective salted eggs. The goal achieved as an effort to improve the quality of this production is software design to know the quality of salted eggs. Quality selection technology involves image processing techniques such as gray imagery, histogram equalization, P-Tile segmentation, and first-order statistical feature extraction that serves to recognize the type of egg image quality. The results obtained with the application of image processing techniques have a fairly good accuracy to determine the quality of salted eggs into two good and bad conditions.  
Evaluasi Kinerja Organisasi Publik Dengan Menggunakan Pendekatan Balanced Scorecard dan Analytic Network Process Tunggul, Adi Mora; Isnanto, Rizal; Nurhayati, Oky Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (741.025 KB) | DOI: 10.21456/vol6iss2pp124-132

Abstract

Balanced scorecard is a strategic business management method that links performance evaluation to vision and strategies using a multidimensional set of financial and nonfinancial performance metrics. This study examined both quantitative data for the proposed Analytic Network Process method. The purpose of this research is to build a model that combines the Balanced Scorecard approach and Analytical Network Process to assist in the performance evaluation of public organizations tax services. Balanced Scorecard concept is applied to determine the hierarchy of the financial perspective, customer perspective, internal business processes, and learning and growth perspective as well as their respective performance indicators of public organizations and then Analytical Network Process used to tolerate vagueness and ambiguity of information and built an information system that is applied to facilitate the performance evaluation process. The study provides recommendations to the management of public organizations regarding the tax service strategy to improve the performance of public organizations.
Metode Moment Invariant Geometrik untuk Menganalisis Jenis Daging Babi dan Daging Sapi Nurhayati, Oky Dwi; hastuti, Isti Pudji
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 2 (2018): Volume 8 Nomor 2 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (613.487 KB) | DOI: 10.21456/vol8iss2pp181-186

Abstract

Beef needs have increased every year. So as the need for expensive beef even at certain times tends to rise. This is used by cheat seller to mix beef with pork because pork is relatively cheaper. This is very detrimental to consumers. Visually, many peoples (consumers) couldn’t distinguish these two types of meat. Hence, we conduct research to distinguish both types of meat.  One way to overcome these problems is the use of complete image processing techniques. The aim of this research was establised an application prototype to distinguish beef and pork with image processing techniques. Image processing method is used to distinguish the types of meat done by pre-processing, segmentation, feature extraction with geometrical moment invariant and K-NN classification. Geometric moment invariant method proposed to analyze beef and pork is done by extracting unique values from each images. This method can be used as a description of the form based on the moment theory. The results showed that the image processing method and K-NN classification with a value of k = 3 used in the research could significantly  used to analyze the type of meat namely beef and pork. The other difference can be shown from the phi moment invariant value, especially the value of phi (1) and phi (2) 
Detection of the Breast Cancer from Thermal Infrared Images Dwi Nurhayati, Oky; Sri Widodo, Thomas; Susanto, Adhi
Jurnal Sistem Komputer Vol 1, No 2 (2011)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v1i2.14

Abstract

Thermography can be used as part of an earlydetection tool which gives women of all ages the opportunityto increase their chances of detecting breast diseases at avery early stage. Breast thermography is a noninvasiveprognostic procedure which can predict a tumor growth ratein breast cancer patients. The objective of this research is toacquire the potential of the statistical characteristics of thebreast thermogram images for the detection of the breastcancer.For this research we use thermal data images fromSardjito hospital at Yogyakarta, from normal and abnormalbreast (detected breast cancer). Firstly, download the breastimage thermograms from the InsideIR software of FlukeTi20 and save them as the inputs to our image processingprogram. Then adjust the format of the images, convert tograyscale images, and crop them to separate the suspectedobjects from the background. Finally we tabulated thestatistical characteristics of the objects which are the means,standard deviations, and entropy to reveal the abnormalitiesof breast thermograms.The results show that the method are promising todetect the abnormality on the breast thermogram images.The normal breast thermograms have minimum entropieswhich differ from those abnormal thermograms in the earlystage of breast cancer and thesignificantly from the moreadvanced of breast cancer.
Co-Authors Adhi Susanto Adi Mora Tunggul Adi, Yudi Restu Agung Budi Prasetijo Agung Budi Prasetijo Agus Subhan Akbar, Agus Subhan Agus Subkhi Hermawan Agus Supriyanto Ahmad Muzami Aji Yudha Alim Muadzani Ambrina Kundyanirum Anggi Anugraha Putra Anggit Sri Herlambang Anggoro Mukti Anisa Eka Utami Annisa Hedlina Hendraputri Arief Puji Eka Prasetya Atik Zilziana Muflihati Noor Aulia Medisina Ramadhan Damar Wicaksono Danal Meizantaka Daeanza Dania Eridani Dania Eridani Dania Eridani Deryan Gelrandy Diana Nur Afifah, Diana Nur Dwiana Okviandini Eggy Listya Sutigno Eko Didik Widianto Eko Sediyono Farikhin Febi Andrea Renatha Galuh Boy Hertantyo Gayuh Nurul Huda Hadi Hilmawan Hammas Zulfikar Ikhsan Hanna Mariana Baun, Hanna Mariana Harits Fathuddin hastuti, Isti Pudji Hendra Pria Utama Ike Pertiwi Ike Pertiwi Windasari Ike Pertiwi Windasari Imaduddin Abdul Rahim Indra Aditia Indra Permana Isti Pudjihastuti Julce Adiana Sidette, Julce Adiana Keszya Wabang Kurniawan Teguh Martono Kusworo Adi Lazuardi Arsy Lia Dorothy M Irfan Syarif Hidayatullah M. Rizki Kurniawan Maesadji Tjokronagoro Menur Wahyu Pangestika, Menur Wahyu Mey Fenny Wati Simanjuntak Muhammad Hafiz Tsalavin Muhammad Naufal Prasetyo Muhammad Ridwan Asad Naretha Kawadha Pasemah Gumay Ningrum, Alifvia Arvi Ninik Rustanti Nofiyati Nofiyati, Nofiyati Nugroho Adhi Santoso Nurazizah Nurazizah Nurhuda Maulana Nurul Arifa Nuryanto . Prio Pambudi R Rizal Isnanto R Rizal Isnanto R. Rizal Isnanto Rahmat Gernowo Reza Najib Hidayat Rian Haris Muda Nasution Rinta Kridalukmana Risma Septiana Rismawan Fajril Falah Riyadhi Sholikhin Satriaji Cahyo Nugroho Siswo Sumardiono Sri Widodo, Thomas Suryo Mulyawan Raharjo Suryono Suryono Teguh Hananto Widodo Thomas Sri Widodo Tristy Meinawati Tyas Panorama Nan Cerah Ulinuha, Ajik Wijaya Wahyudi Akbar Yessy Kurniasari Yudhi Kasih Pasaribu Yudi Eko Windarto Yudi Restu Adi Yusraka Dimas Al Iman Yusuf Arya Yudanto Zaskia Wiedya Sahardevi