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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Teknologi Informasi dan Ilmu Komputer Journal of ICT Research and Applications Seminar Nasional Informatika (SEMNASIF) Jurnal Teknologi dan Sistem Komputer Knowledge Engineering and Data Science JIKO (Jurnal Informatika dan Komputer) Jurnal TAM (Technology Acceptance Model) ILKOM Jurnal Ilmiah IJID (International Journal on Informatics for Development) JURIKOM (Jurnal Riset Komputer) ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal E-Komtek JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Applied Data Sciences Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Indonesia : Manajemen Informatika dan Komunikasi Journal of Informatics and Communication Technology (JICT) Journal of Engineering, Electrical and Informatics (JEEI) Konstelasi: Konvergensi Teknologi dan Sistem Informasi Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Scientific Research, Education, and Technology SmartComp Journal of Technology Informatics and Engineering Jurnal Indonesia : Manajemen Informatika dan Komunikasi The Indonesian Journal of Computer Science Journal of Informatics and Communication Technology (JICT) Jurnal TAM (Technology Acceptance Model) Jurnal Abdi Rakyat
Enny Itje Sela
Master Program Of Information Technology, Universitas Teknologi Yogyakarta, Jl. Siliwangi (Ringroad Utara), Jombor, Sleman, D.I. Yogyakarta 55285|Universitas Teknologi Yogyakarta
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Application of The Fuzzy Inference System Method to Predict The Number of Weaving Fabric Production Tundo, Tundo; Sela, Enny Itje
IJID (International Journal on Informatics for Development) Vol 7, No 1 (2018): IJID June
Publisher : Universitas Islam Negeri Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2018.07105

Abstract

In this study discusses the application of fuzzy logic in solving production problems using the Tsukamoto method and the Sugeno method. The problem that is solved is how to determine the production of woven fabric when using three variables as input data, namely: stock, demand and inventory of production costs. The first step is to solve the problem of woven fabric production using the Tsukamoto method which is to determine the input variables and output variables which are firm sets, the second step is to change the input variable into a fuzzy set with the fuzzification process, then the third step is processing the fuzzy set data with the maximum method. And the last or fourth step is to change the output into a firm set with the defuzzification process with a weighted average method, so that the desired results will be obtained in the output variable. The solution to the production problem using the Sugeno method is almost the same as using the Tsukamoto method, it's just that the system output is not a fuzzy set, but rather a constant or a linear equation. The difference between the Tsukamoto Method and the Sugeno Method is in consequence. The Sugeno method uses constants or mathematical functions of the input variables.
Feature Selection of the Combination of Porous Trabecular with Anthropometric Features for Osteoporosis Screening Enny Itje Sela; Sri Hartati; Agus Harjoko; Retantyo Wardoyo; Munakhir Mudjosemedi
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 1: February 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.894 KB) | DOI: 10.11591/ijece.v5i1.pp78-83

Abstract

This study aims to select the important features from the combination of porous trabecular pattern with anthropometric features for osteoporosis screening. The study sample has their bone mineral density (BMD) measured at the proximal femur/lumbar spine using dual-energy X-ray absorptiometry (DXA). Morphological porous features such as porosity, the size of porous, and the orientation of porous are obtained from each dental radiograph using digital image processing. The anthropometric features considered are age, height, weight, and body mass index (BMI). Decision tree (J.48 method) is used to evaluate the accuracy of morphological porous and anthropometric features for selection data. The study shows that the most important feature is age and the considered features for osteoporosis screening are porosity, vertical pore, and oblique pore. The decision tree has considerably high accuracy, sensitivity, and specificity.
Deteksi Kualitas Telur Menggunakan Analisis Tekstur Enny Itje Sela; M Ihsan
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 11, No 2 (2017): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.24756

Abstract

Currently to find out the quality of eggs was conducted on visual observation directly on the egg, both the outside of the egg in the form of eggshell conditions or the inside of the egg by watching out using sunlight or a flashlight. This method requires good accuracy, so in the process it can affect results that are not always accurate. This is due to the physical limitations of each individual is different. This study examines the utilization of digital image processing for the detection of egg quality using eggshell image.The feature extraction method performed  a texture feature based on the histogram that is the average intensity, standard deviation, skewness, energy, entropy, and smoothness properties. The detection method for  training and testing is  K-Means Clustering algorithm. The results of this application are able to help the user to determine the quality of good chicken eggs and good quality chicken eggs, with accurate introduction of good quality eggs by 90% and poor quality eggs by 80%.
DETEKSI DAN IDENTIFIKASI UKURAN OBYEK ABNORMAL (STUDI KASUS : CITRA OTAK MANUSIA) Enny Itje Sela; Agus Harjoko
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 1 (2011): Computatinal
Publisher : Jurusan Teknik Informatika

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

Abstract

Makalah ini membahas tentang otomatisasi sistem untuk identifikasi ukuran obyek abnormal pada citra otak manusia. Untuk dapat melakukan identifikasi terlebih dahulu harus melakukan proses deteksi. Deteksi dilakukan menggunaan operasi substract, segmentasi watershed dengan metode disk filter, dan operasi morfologi. Fungsi morfologi yang digunakan adalah fspecial dan imfilter. Untuk melakukan marker pada latar depan, operasi morfologi yang dikerjakan adalah opening by reconstruction (dengan fungsi strel, imopen, imerode, imreconstruct). Sedangkan untuk identikasi ukuran dilakukan dengan menghitung jumlah piksel citra hasil deteksi. Citra yang dibutuhkan adalah citra otak normal dan beberapa citra otak abnormal dengan lokasi yang berbeda-beda dalam bentuk 2D. Dari citra yang sudah diujicoba, sistem dapat mendeteksi dan mengidentifikasi dengan baik ukuran citra abnormal..
Optimasi proses penjadwalan mata kuliah menggunakan algoritme genetika dan pencarian tabu Arif Amrulloh; Enny Itje Sela
Jurnal Teknologi dan Sistem Komputer Volume 9, Issue 3, Year 2021 (July 2021)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.2021.14137

Abstract

Scheduling courses in higher education often face problems, such as the clashes of teachers' schedules, rooms, and students' schedules. This study proposes course scheduling optimization using genetic algorithms and taboo search. The genetic algorithm produces the best generation of chromosomes composed of lecturer, day, and hour genes. The Tabu search method is used for the lecture rooms division. Scheduling is carried out for the Informatics faculty with four study programs, 65 lecturers, 93 courses, 265 lecturer assignments, and 65 classes. The process of generating 265 schedules took 561 seconds without any scheduling clashes. The genetic algorithms and taboo searches can process quite many course schedules faster than the manual method.
Deteksi osteoporosis pada citra radiograf panoramik dental menggunakan algoritme J48 dan learning vector quantization Enny Itje Sela
Jurnal Teknologi dan Sistem Komputer Volume 9, Issue 4, Year 2021 (October 2021)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.2021.14197

Abstract

Osteoporosis is one type of disease that is not easily detected. This disease can cause fractures for the sufferer. Early detection of osteoporosis is crucial to prevent fractures. This study aims to detect osteoporosis through features extracted from cortical bone and trabeculae in dental panoramic images. The results of the selected feature extraction are trained using an artificial neural network. Based on the study results, the dominant features for osteoporosis detection are radio morphometric index and morphological features. The accuracy, sensitivity, and specificity of the J48 and Learning Vector Quantization (LVQ) are 83.88 %, 78.57 %, and 100 %, respectively.
PROTOTIPE INTEGRASI DATA MORBIDITAS PASIEN PUSKESMAS KEDALAM DATA WAREHOUSE DI DINAS KESEHATAN KABUTEN BANTUL Totok - Suprawoto; Enny Itje Sela; Syamsu Windarti
JURNAL INFORMATIKA DAN KOMPUTER Vol 2, No 2 (2017): SEPTEMBER - JANUARI 2018
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1087.488 KB) | DOI: 10.26798/jiko.v2i2.64

Abstract

   Bantul District Health Office (DHO Bantul) is one of the agencies that currently experiencing problems to obtain accurate and current health information. Reports to be made routinely by puskesmas further recapitulated in Bantul Health Office are reports on outpatient morbidity such as the report of Integrated Disease Surveillance (STP), disease report by type, and others.From result of analysis and design of data warehouse based on fact constellation schema which include dimension: time, patient, age group, disease and puskesmas, furthermore can be analyzed further for the purpose of decision making using data mining. Furthermore, it can also be used to analyze patient data from various dimensions (time, patient, age group, illness and puskesmas), and analyze the growth of patient number from each period of time which is useful for the management of DHO Bantul. Successfully built prototype data integration morbidity of outpatient Puskesmas. To ease the burden of the surveillance officer to make a report to DHO Bantul has made the application of Integrated Disease Surveillance (STP). While some types of reports are needed every periodic can be simulated using instaview or pentaho report.
PROTOTIPE INTEGRASI DATA MORBIDITAS PASIEN PUSKESMAS KEDALAM DATA WAREHOUSE DI DINAS KESEHATAN KABUTEN BANTUL Totok Suprawoto; Enny Itje Sela; Syamsu Windarti
Jurnal TAM (Technology Acceptance Model) Vol 7 (2016): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (985.014 KB)

Abstract

Bantul District Health Office (DHO Bantul) is one of the agencies that are currently having problems to obtain health information that is accurate and current. The report should be made regularly by the health center then recapitulated in Bantul Health Office is a statement of outpatient morbidity such as Integrated Disease Surveillance (STP) report, a report based on the type of disease and others. The increasing number and complexity of morbidity data in Bantul Health Office environment, as well as the importance of planning and decision making, it is necessary to analyze and design data further using the data warehouse. From the analysis and design of data warehouse based on the fact constellation schema that includes dimensions: time, patient, age, disease and health centers, can then be further analyzed for purposes of making decisions using data mining. Furthermore, it can also be used to analyze patient data from multiple dimensions (time, patient, age, disease and health centers), and to analyze the growing number of patients from each period of benefit to the management of Bantul Health Office.
Analisis Perbandingan Rule Pakar dan Decision Tree J48 Dalam Menentukan Jumlah Produksi Kain Tenun Menggunakan Metode Fuzzy Tsukamoto Tundo Amri Mujahid; Enny itje Sela
JURIKOM (Jurnal Riset Komputer) Vol 6, No 5 (2019): Oktober 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v6i5.1510

Abstract

This study explains the comparative analysis of expert rules and J48 decision tree using Tsukamoto fuzzy in determining the amount of woven fabric production. From the results of the research analysis, it was found that the rule base model in this study was a decision tree with 83.3333% accuracy based on the J48 decision tree algorithm that was tested using WEKA tools. The results of direct comparison analysis with actual production data that J48 decision tree rule is the closest to the actual data is with an error rate of 3.89% so that the accuracy of the truth reaches 96.11%, while using expert rules has an error rate of 14.45% so that the accuracy truth obtained reached 85.55%. Therefore, an idea was found that to make a rule without having to consult with experts, that is enough to use a decision tree with WEKA tools, because WEKA tools will display the accuracy of the truth of the rules formed.
The Utility of Decision Tree and Analytics Hierarchy Process in Prioritizing of Social Aid Distribution due to Covid-19 Pandemic in Indonesia Saucha Diwandari; Enny Itje Sela; Briyan Efflin Syahputra; Nathaniela Aptanta Parama; Anindita Septiarini
Journal of ICT Research and Applications Vol. 17 No. 1 (2023)
Publisher : DRPM - ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2023.17.1.6

Abstract

The Indonesian government provided various social assistance programs to local governments during Covid-19. One of the difficulties for the local governments in determining candidates for social aid is ensuring that the number of candidates is in balance with the available quota. Therefore, the local governments must select the most eligible candidates. This study proposes a priority model that can provide recommendations for candidates who meet the criteria for social assistance. The six parameters used in this study were: number of dependents, occupation, income, age, Covid status, and citizen status. The model operates in two stages, namely classification followed by ranking. The classification stage is conducted using a decision tree, while the ranking stage is performed conducted using the Analytical Hierarchy Process (AHP) algorithm. The decision tree separates two classes, namely, eligible and non-eligible. In addition, the classification process is also used to determine the dominant attributes and played a role in the modeling. The proposed model generates a list of the most eligible candidates based on our research. These are sorted by weight from greatest to most eligible using five dominant parameters: number of dependents, income, age, Covid status, and citizen status.
Co-Authors Adidarma, Muhamad Bahru Agus Ardiyanto Agus Ardiyanto Agus Harjoko Agus Harjoko AKBAR MAULANA Akbar, Riolandi Algadrie, Saniah Evatri Alhafiz, Amirrul Dafa Anggara, Afwan Anindita Septiarini, Anindita Apriyaldi Lukman Ari Hendrawan Arif Amrulloh Asep Zainal Alfarizi Briyan Efflin Syahputra Edi Priyanto Fatah Nur Saifullah Fathul Am Fathul Am Ferryma Arba Apriansyah Ganda Sinarna Hendrawan, Ari Idham Kholed Rachmawan Julian Ega Prabowo Luther Alexander Latumakulita Luther Latumakulita M Ihsan Muhammad Ilham Triwibowo Munakhir Mudjosemedi Nathaniela Aptanta Parama Noourul Islam Noviania, Reski Nugroho, Faishal Tirto Nur Wening, Nur Olwin Kirab Novaldy Prawirdani, Adil Rachmawan, Idham Kholed Retantyo Wardoyo Rianto Rianto Risky Devandra Hartana Saucha Diwandari Senoaji, Muhammad Senoaji Wibowo Sri Hartati Steven Ray Sentinuwo Syahrul Gunawan Ramdhani Syamsu Windarti Totok Suprawoto Tundo, Tundo Utami, Wahyu Sri