Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

7.922

P-Index

This Author published in this journals

All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business JUITA : Jurnal Informatika International conference on Information Technology and Business (ICITB) Annual Research Seminar Journal of Information System JPSriwijaya JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) INTECOMS: Journal of Information Technology and Computer Science KACANEGARA Jurnal Pengabdian pada Masyarakat Jurnal ULTIMATICS Jurnal Pendidikan Matematika (JUDIKA EDUCATION) Informatik : Jurnal Ilmu Komputer IJID (International Journal on Informatics for Development) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) SEINASI-KESI Jurnal Riset Informatika CSRID (Computer Science Research and Its Development Journal) Jurnal Informatika Global CCIT (Creative Communication and Innovative Technology) Journal JSAI (Journal Scientific and Applied Informatics) Journal of Information Systems and Informatics Mulia International Journal in Science and Technical Zonasi: Jurnal Sistem Informasi Indonesian Journal of Electrical Engineering and Computer Science TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Generic Jurnal AbdiMas Nusa Mandiri Jurnal Pendidikan dan Teknologi Indonesia ABDI MOESTOPO: Jurnal Pengabdian pada Masyarakat Proceeding of International Conference Health, Science And Technology (ICOHETECH) Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Abdimas Maduma JUKEMAS : Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Informasi dan Aplikasi

Ermatita -

Universitas Sriwijaya

Author-ID : 2468404

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Veterinary Other

Published : 86 Documents Claim Missing Document

Claim Missing Document

Articles

3 4 5 6 7

Efficient mobilenet architecture as image recognition on mobile and embedded devices Barlian Khasoggi; Ermatita Ermatita; Samsuryadi Samsuryadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp389-394

The introduction of a modern image recognition that has millions of parameters and requires a lot of training data as well as high computing power that is hungry for energy consumption so it becomes inefficient in everyday use. Machine Learning has changed the computing paradigm, from complex calculations that require high computational power to environmentally friendly technologies that can efficiently meet daily needs. To get the best training model, many studies use large numbers of datasets. However, the complexity of large datasets requires large devices and requires high computing power. Therefore large computational resources do not have high flexibility towards the tendency of human interaction which prioritizes the efficiency and effectiveness of computer vision. This study uses the Convolutional Neural Networks (CNN) method with MobileNet architecture for image recognition on mobile devices and embedded devices with limited resources with ARM-based CPUs and works with a moderate amount of training data (thousands of labeled images). As a result, the MobileNet v1 architecture on the ms8pro device can classify the caltech101 dataset with an accuracy rate 92.4% and 2.1 Watt power draw. With the level of accuracy and efficiency of the resources used, it is expected that MobileNet's architecture can change the machine learning paradigm so that it has a high degree of flexibility towards the tendency of human interaction that prioritizes the efficiency and effectiveness of computer vision.

ASSOCIATION RULE METHOD FOR INFORMATION SYSTEM EPIDEMIC DENGUE MAPPING BASED ASSOCIATION OF RISK FACTORS IN PALEMBANG Ermatita Ermatita; Suci Destriatania
Prosiding International conference on Information Technology and Business (ICITB) 2015: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 1
Publisher : Proceeding International Conference on Information Technology and Business

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

Endemic diseases dangerous such as dengue fever must be handling seriously for the risk minimize by the disease. Dengue Hemorrhagic Fever (DHF) is disease has not been found vaccine or cure is powerful. It is necessary treatment to prevent the occurrence of dengue fever, especially when it came to the incidence of dengue fever endemic in certain areas by doing Epidemiologist dengue fever. Epidemiology is identification of risk factors for DHF to find level of area risk. Risk factors of hemorrhagic fever endemic must be identified to prevent the occurrence of dengue fever. Identifying risk factors and risk factors association can potential increase the occurrence of dengue fever. This study developed mapping information system Dengue epidemic through Association rule method of data mining. The information generated in the map of epidemic DHF level based association of potential risk factors that cause hemorrhagic fever endemic. Analysis with the Association Rule to determine level of DHF epidemic area based data reporting system. KEY WORDS: information system mapping, data mining, Association Rule, endemic, Dengue Hemorrhagic Fever (DHF).

DIGITAL INSTRUMENT FOR INFANT AND TODDLER MORTALITY REVIEW USING USER-CENTERED DESIGN METHOD Royan Dwi Saputra; Rahmat Izwan Heroza; Dwi Rosa Indah; Allsela Meiriza; Pacu Putra; Ermatita Ermatita
Jurnal Riset Informatika Vol 4 No 4 (2022): Period of September 2022
Publisher : Kresnamedia Publisher

The Infant Mortality Rate and Toddler Mortality Rate are still relatively high in Indonesia. Data from the South Sumatra Health Office shows a relatively high number of infant and toddler mortality cases in Banyuasin and Musi Banyuasin Regency, with about 68 and 51 cases in 2017. Through the Program Kerja Sama (PKS) of the Family Health Directorate of the Health Ministry of the Republic of Indonesia and the Public Health Faculty of Sriwijaya University, it was found that the problems related to these were triggered by the absence of an instrument in digital form to conduct reviews about infant and toddler issues of mortality at Health Facilities, which were expected to assist in recording and reporting the review process runs more effectively and efficiently. This research uses the User-Centered Design (UCD) method because it optimizes the application prototype according to the needs and desires of the end-user, which in this case is the health worker in the Health Facilities in Banyuasin and Musi Banyuasin Regency. The UCD method phases include understanding the context of use, specifying the user requirements, designing the solutions, and evaluating against requirements. Based on the research that has been done, the results obtained that the average usability score is 94, which means that the prototype of this application has been made according to the needs and desires of the end-user, also the prototype of this application is feasible to be implemented.

Predicting Academic Performance In Blended Learning By Using Data Mining Classification Techniques Dafid; Ermatita
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Internet and Web technologies provide students with the ease of communication to lecturers, accessing learning resources, and submitting the assignment. One of that technologies is Blended Learning. Blended learning has been growing in demand and popularity and widely used in the modern higher education system with the implementation of a learning management system (LMS). As a result, Blended Learning generates large amounts of student’s information that can be used to invent valuable patterns and get hidden and useful information. This study analyzed data extracted from a Moodle-based blended learning course in STMIK XYZ that is called SIMPONI and SPON, to build a student model that predicts academic performance. Data Mining Classification Techniques were used to predict it based on Semester GPA. Various factors like demographics, economics and information about previous education are considered in analyzing academic performance. Rapid Miner software package was used for prediction and the result is a model by which could determine academic performance: passed with a CGPA above or equal to 2.5 and failed with a CGPA below 2.5 This model may give information for STMIK XYZ to early intervention and to outcome the poor GPA. Various classification algorithms are used to select the best algorithm in finding the better prediction model.

Implementation Knowledge Management for Knowing the Factors That Have Influenced Income for Traditional Retail Dien Novita; Ermatita
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

The massive expansion of modern retail such as minimarkets in Palembang City has recently been rampant. The existence of modern retail is now having an impact on traditional retail that has existed before. Many traditional retailers cannot compete with the modern retailers that have grown up around them. From these facts, various studies have been carried out and various solutions have been provided so that the existence of traditional retailers cannot be replaced by modern retailers. There are still many traditional retailers that still survive in this condition. This is interesting to research, especially regarding the factors that affect the income of traditional retailers so that they can survive in selling goods that are actually the same as goods sold in the nearest minimarket. In this study, the concept of knowledge management is used in identifying, creating, explaining, and distributing knowledge for use and re-study by traditional retailers to be able to compete. In this concept, the Nonaka and Takeuchi model of the externalization dimension of knowledge is used, namely the transformation of knowledge from a tacit form to an explicit form. With externalization, tacit knowledge is obtained directly from 32 traditional retailers in Palembang, namely the factors that affect income. The results showed that the dominant factors were two factors, namely the length of the business opening hour and the percentage of product availability desired by the customer. The coefficient of determination is 81.95%, this factor contributes to the income of traditional retail businesses. These results can be disseminated and communicated to other retail business owners so that it becomes a concern in formulating future business strategies.

An adaptable sentence segmentation based on Indonesian rules Johannes Petrus; Ermatita Ermatita; Sukemi Sukemi; Erwin Erwin
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i3.pp1491-1499

Sentence segmentation that breaks textual data strings into individual sentences is an important phase in natural language processing (NLP). Each word in the string that is added a punctuation mark such as a period, question mark, or exclamation point, becomes the location for splitting the string. Humans can easily see the punctuation and split the string into sentences, but not machines. Basically, the three punctuation marks also perform other functions so that the sentence segmentation process must really be able to detect whether a word marked with punctuation is a sentence boundary or not. This research proposes a sentence segmentation system called segmentasi kalimat bahasa Indonesia (SKBI) or Indonesian language sentence segmentation by applying a set of rules and can be used in Indonesian texts and can be adapted for English. There are 34 rules built with a combination of 27 fairly complete features that contribute to this research. The experimental results for the Indonesian text show that the SKBI is able to achieve an F1-Score of 96.89% and 97.07% for English. Both need to be improved but now better than previous research.

Implementation of Fuzzy C-Means and Topsis in College Rankings Joko Purnomo; Sukemi Sukemi; Parwito Parwito; Ermatita Ermatita
Journal of Information System and Informatics Vol 4 No 4 (2022): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v4i4.409

Prior to now, the ranking of higher education institutions, particularly those at the Regional II Palembang Higher Education Service Institution, was based on one component of the work unit's criteria. This makes the university ranking results superior on one criterion but inferior on another. The number of instructors and the number of students at 100 universities in the South Sumatra region were split into two groups based on the outcome of the fuzzy c means algorithm grouping and regional criteria and calculated based on the resulting mean value. The grouping results using a topsis algorithm decision-making system with a weight determined by the number of lecturers with functional positions, college accreditation, number of certified lecturers, and percentage level of higher education database reports are used as a reference to rank universities. Based on the mean value of the fuzzy c means algorithm and the grouping results, seven colleges were chosen. Using the topsis method's way of making decisions, the final score for the highest-ranked college is 0.850.

DIGITAL INSTRUMENT FOR INFANT AND TODDLER MORTALITY REVIEW USING USER-CENTERED DESIGN METHOD Royan Dwi Saputra; Rahmat Izwan Heroza; Dwi Rosa Indah; Allsela Meiriza; Pacu Putra; Ermatita Ermatita
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Abstract The Infant Mortality and Toddler Mortality rates are still relatively high in Indonesia. Data from the South Sumatra Health Office shows a relatively high number of infant and toddler mortality cases in Banyuasin and Musi Banyuasin Regency, with about 68 and 51 cases in 2017. Through the Program Kerja Sama (PKS) of the family health directorate of the health ministry of the Republic of Indonesia and the Public Health Faculty of Sriwijaya University. Find problems related to the absence of instruments in digital form, which are useful for conducting studies on infant and under-five mortality problems in health facilities, which were expected to assist in recording and reporting the review process run more effectively and efficiently. This research uses the User-Centered Design (UCD) method because it optimizes the application prototype according to the needs and desires of the end-user, which in this case is the health worker in the Health Facilities in Banyuasin and Musi Banyuasin Regency. The UCD method phases include understanding the use context, specifying the user requirements, designing the solutions, and evaluating against requirements. The results of the study were that the average usability score was 94, meaning that this application's prototype has been made according to the needs and desires of end-users. Also, the prototype of this application is feasible to implement.

Klasifikasi Kemiripan Suara Rekaman Menggunakan Metode Me-Frequency Cepstra Coefficient dan Minkowski Aidil Putrasyah; Ermatita Ermatita; Abdiansah Abdiansah
INTECOMS: Journal of Information Technology and Computer Science Vol 6 No 2 (2023): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v6i2.7023

Teknologi saat ini teah mendominasi berbagai bidang mulai dari pendidikan, perkantoran, komersial, industri bahkan hukum. Dengan kemajuan Teknologi informasi kebutuhan manusia akan tersedia dengan mudah, praktis dan tanpa batas. Disisi ain, berkembangnya Teknologi informasi menimbukan kekhawatiran pada perkembangan tindak pidana yang berhubungan dengan kejahatan. Pada beberapa kasus biasanya terdapat barang bukti yang ditinggakan seperti rekaman suara yang diHasilkan dari percakapan menggunakan teepon. Suara rekaman ini dapat digunakan sebagai pendukung dalam penyidikan saat dipersidangan untuk mengidentifikasi peaku kejahatan. Penelitian untuk mengidentifikasi suara masih terdapat kendaa yaitu kebisingan yang terjadi saat merekam suara. Metode MFCC merupakan metode yang dapat digunakan untuk mengekstraksi fitur serta mengurangi kebisingan atau noise. Penelitian menggunakan algoritma dalam menganalisis suara rekaman banyak beredar di internet, saah satunya algoritma KNN yang dapat digunakan untuk kasifikasi, identifikasi, dan prediksi. Identifikasi suara rekaman menggunakan algoritma KNN dengan metode minkowski diakukan untuk pengenaan suara dalam menentukan identik atau tidaknya antara suara rekaman peaku kejahatan dengan sampel suara tersangka. Penelitian ini meibatkan dua responden sebagai tersangka dan tiga responden sebagai peaku. Setiap responen akan meakukan perekaman suara, dimana rekaman ini nanti akan dipotong menjadi sebeas bagian yang terdiri dari data atih dan data uji. Hasil yang diharapkan dapat meakukan pengenaan rekaman suara peaku terhadap suara tersangka dengan mendapatkan jarak terkecil yang mendekati kemiripan sehingga barang bukti rekaman suara dapat dipertanggung jawabkan dalam persidangan.

Information System for State-owned inventories Management at the Faculty of Computer Science Tjahjanto, Tjahjanto; Arista, Artika; Ermatita, Ermatita
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11678

Information technology development brings a very broad impact on human life. With this Model View Controller (MVC) concept, information system development could be developed in accordance needs of the user’s information system development and be able to adapt the development in the organization. Needs of fast and precise and adaptive information system information is needed in this modern era when everything needs to be fast. Faculty of computer science (FIK) Universitas Pembangunan Nasional Veterans Jakarta (UPNVJ) as one work unit under the government agency, has State-owned inventories to support all activities to carry out the Tri Dharma or the higher education pillars, especially in the field of education. The state-owned inventories or devices are available in FIK such as monitors, printers, LCD, mouse, etc. For continuity of this educational process, the state-owned inventories must be maintained. Therefore, in this research, the researchers will develop an information system to document the state-owned inventory records for helping the management of the state-owned inventories in the faculty of computer science at UPN Veteran Jakarta. The information system was built using the waterfall method and using the PHP programming language and MySQL database running on a server. This information system provides features to manage users, manage components, access system logs, access system settings, manage devices, manage the location, and access reports. The system that has been developed has also passed the eligibility assessment for all aspects of both visual communication aspects, software engineering aspects, and usability aspects.

Co-Authors Abdiansah, Abdiansah Adi Sutrisman Ahmad Fali Oklilas Ahmad Fali Oklilas Ahmad Sanmorino Aidil Putrasyah Al Farissi Albert Albert Aldin, Moehammad Alfarezy, Reza Ali Amran Ali Bardadi Ali Bardardi Ali Ibrahim Ali Ibrahim Allsela Meiriza, Allsela Andini Dwi Lestari Anita Desiani Apriansyah Putra Arnelawati Artika Arista Ayuputri, Niken Bambang Suprihatin Barlian Khasoggi Barlian Khasoggi Belly, Belly Nagustria bin Awang, Mohd Khalid Budi Prayoga, Muhamad Hafiz Cindo, Mona Dafid Dedik Budianta Deris Stiawan Dian Palupi Rini Dian Palupi Rini Dien Novita Dominica, Alviona Terry Dwi Asa Verano Dwi Lestari, Rizky Dwi Meylitasari Br. Tarigan Dwi Rosa Indah Endang Lestari Ruskan Endy Suherman Erwin, Erwin Eva Darnila Eva Darnila Fajriana, Fajriana Fajriana, Fajriana Falih, Noor Fathiyah, Alyssa Fathoni - Fauza Adelma Syafrizal Fuadi, Wahyu Geovani, Dite Gumay, Naretha Kawadha Pasemah Hadipurnawan Satria Hafyz Sytar, M. Hartini Hartini Hijriani, Nurul Huda Ubaya Huda Ubaya Husnawati Husnawati Ika Oktavianti ina aisyah handayani Indra Maulana Irmanda, Helena Nurramdhani Ispramono Hadi, Sigit Iwan Pahendra Iwan Pahendra Anto Saputra Jaidan Jauhari Johannes Petrus Joko Purnomo Kareen, Pamela Ken Dhita Tania Khairun Nisak, Novrinda Kurniawan, Mochamad Aryo Aji Kurniawan, Rizky Fariz Andry Lovinta Happy Atrinawati M Fariz Januarsyah M. Fariz Januarsyah M. Miftakul Amin Madya, M Miftahul Matondang, Nurhafifah Mauliza Mauliza, Mauliza Megah Mulya Meizalina, Mutiara Amalia Mgs Afriyan Firdaus Mira Afrina Mohammed Y. Alzahrani Mona Cindo Monterico Adrian Muhammad Adrezo Muhammad Fachrurrozi Muhammad Qurhanul Rizqie Muhammad Sadli Muhammad Sadli, Muhammad Muhammad, Duwen Imantata Mutammimul Ula Mutia Fadhila Putri Neni Alyani Noprisson, Handrie NUNI GOFAR Nurul Chamidah Nurul Mufliha Eka Putri Nurul Mufliha Eka Putri Octaria, Orissa Osvari Arsalan Pacu Putra Pahendra, Iwan Parwito Patimah, Endah Pratama, M Octaviano Primanita, Anggina Purwita Sari Purwita Sari, Purwita Putra, Erwin Dwika Rachma nia Rahman, Puti Ayu Andhini Rahmat Budiarto Rahmat Izwan Heroza Rahmat Izwan Heroza Rendra Gustriansyah Reza Firsandaya Malik Richardo, M Denny Richki Hardi Rifkie Primartha Rizka Dhini Kurnia Rizka Dhini Kurnia Rizki Kurniati Royan Dwi Saputra Rudhy Ho Purabaya Ruth Mariana Bunga Wadu Safithri, Selviana Rizki Salamah, Fitri Samsuryadi Samsuryadi Shinta Puspasari Soraya, Atika Suci Destriatania Suci Destriatania Sukemi Sukemi Susan Dwi Saputri Susan Dwi Saputri Sytar, M. Hafizh Terttiaavini, Terttiaavini Tjahjanto, Tjahjanto Tryadriani, Rasqia Nurzulia Verano, Dwi Asa Verlly Puspita Wahyu Fuadi Wahyu Ningsih Yadi Utama Yadi Utama Yudha Pratomo Yudha Pratomo Yudha Pratomo Yundari, Yundari Zalika, Indah Zulkardi

Title

Found 86 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 86 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 86 Documents
Search