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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Manajemen Terapan dan Keuangan JURNAL SISTEM INFORMASI BISNIS Jurnal Pendidikan dan Pengajaran Indonesian Journal of Artificial Intelligence and Data Mining JSiI (Jurnal Sistem Informasi) Jurnal Ilmiah Media Sisfo Jurnal Nasional Komputasi dan Teknologi Informasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Indonesian Journal on Learning and Advanced Education (IJOLAE) Journal of Information System,Graphics, Hospitality and Technology Jurnal Nasional Ilmu Komputer Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Sains Teknologi dan Sistem Informasi JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Pustaka Aktiva : Pusat Akses Kajian Akuntansi, Manajemen, Investasi, dan Valuta Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Karya Abdi Masyarakat Journal of Business Studies and Management Review Journal of Fish Health J-Icon : Jurnal Komputer dan Informatika Journal of Software Engineering and Information System (SEIS) Jurnal Pengabdian Masyarakat (JPM) Pinang Masak Jurnal Sistem Informasi dan Ilmu Komputer Journal of Management and Innovation Entrepreneurship (JMIE) JUPEMA Jurnal Indonesia : Manajemen Informatika dan Komunikasi International Journal of Computer Technology and Science Akademika Jurnal Ilmu Komputer dan Teknologi Informasi Tesseract: International Journal of Geometry and Applied Mathematics EdLib Journal (Education and Library Journal)

Utomo, Pradita Eko Prasetyo

Univeristas Jambi

Author-ID : 3863561

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Neuroscience Physics Public Health Social Sciences Transportation Other

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Prediksi Kerawanan Wilayah Terhadap Tindak Pencurian Sepeda Motor Menggunakan Metode (S)ARIMA Dan CART Pradita Eko Prasetyo Utomo; Azhari SN
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.16643

Motor vehicle theft is a crime that is most common in Indonesia. Growth of vehicle motorcycle significant in each year accompanied by the increasing theft of motorcycles in each year, we need a system that is able to forecast the development and the theft of the motorcycle.This research proposes the development of forecasting models vulnerability criminal offense of theft of motorcycles with ARIMA forecasting method. This method not only forecast from variable of theft but also residents, vehicles and unemployment. The study also determined the classification level of vulnerability to the crime of theft of a motorcycle using a method based on the Decision Tree CART ARIMA forecasting method.Forecasting time series data with ARIMA method performed by each of the variables to produce the best ARIMA forecasting model which varies based on the data pattern of each of those variables. The results of classification by CART method to get the value of accuracy of 92% for the city of Yogyakarta and 85% for DIY. Based on the above, the results of ARIMA forecasting and classification CART can be used in determining the level of vulnerability to the crime of theft of motorcycles.

Detection of Cataract Based on Image Features Using Convolutional Neural Networks Indra Weni; Pradita Eko Prasetyo Utomo; Benedika Ferdian Hutabarat; Muksin Alfalah
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 15, No 1 (2021): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.61882

Cataract are the highest cause of blindness that there are 32.4 million people experiencing blindness and as many as 191 million people experiencing visual disabilities in 2010 in the world. On the other hand, the longer a patient suffers from cataracts or late treatment. The development of cataract identification using a traditional algorithm based on feature representation is highly dependent on the classification process carried out by an eye specialist so that the method is prone to misclassification of a person detected or not. However, at this time there is a deep learning, convolutional neural network (CNN) which is used for pattern recognition which can help automate image classification. This research was conducted to increase the accuracy value and minimize data loss in the process of cataract identification by performing an experience namely the manipulation process was carried out by changing epochs. The results of this study indicate that the addition of epochs affects accuracy and loss data from CNN. By comparing variety of epoch values it can be ignored that the higher the age values used, the higher the value of the model. In this study, using the epoch 50 value reached the highest value with a value of 95%. Based on the model that has been made it has also been successful to receive images according to the specified class. After testing accurately, 10 images achieved an average accuracy of 88%.

Sentiment Analysis Of Cyberbullying On Twitter Using SentiStrength Ulfa Khaira; Ragil Johanda; Pradita Eko Prasetyo Utomo; Tri Suratno
Indonesian Journal of Artificial Intelligence and Data Mining Vol 3, No 1 (2020): March 2020
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v3i1.9145

Cyberbullying is a form of bullying that takes place across virtually every social media platform. Twitter is a form of social media that allows users to exchange information. Bullying has been a growing problem on Twitter over the past few years. Sentiment analysis is done to identify the element of bullying in a tweet. Sentiments are divided into 3 classes, namely Bullying, Non-Bullying and neutral. There are three steps to classify cyberbullying i.e. collection of data set, preprocessing data, and classification process. This research used sentiStrength, an algorithm which uses a lexicon based approach. This SentiStrength lexicon contains the weight of its sentiment strength. The assessment results from 454 tweets data obtained 161 tweet non-bullying (35.4%), 87 tweet neutral (19.1%), and 206 tweet bullying (45.4%). This research produces an accuracy value of 60.5%.

Implementasi Sistem Informasi Manajemen Arsip Di Fakultas Sains dan Teknologi Universitas Jambi Reni Aryani; Tri Suratno; Mauladi Mauladi; Pradita Eko Prasetyo Utomo
Jurnal Ilmiah Media Sisfo Vol 13 No 2 (2019): Jurnal Ilmiah Media Sisfo
Publisher : LPPM STIKOM Dinamika Bangsa

Fakultas Sains dan Teknologi Universitas Jambi sebagai institusi yang bergerak dibidang pendidikan, saat ini telah mengunakan teknologi komputer dalam pengelolaan dokumennya. Akan tetapi teknologi tersebut belum digunakan secara optimal. Hal ini terlihat dari cara penyimpanan arsip dokumen fakultas yang masih dilakukan secara manual oleh staff tenaga kependidikan. Di Fakultas Sains dan Teknologi, dokumen disimpan dalam lemari arsip dan atau di dalam folder komputer yang dipisahkan berdasarkan jenis dokumen. Akibatnya terdapat kendala dalam pengaksesan dokumen, dimana staff tenaga kependidikan harus terlebih dahulu membongkar folder arsip untuk mencari dokumen yang dibutuhkan. Selain itu dokumen arsip berupa kertas menumpuk di ruangan, yang lama kelamaan akan membutuhkan ruang yang banyak. Untuk mengatasi masalah tersebut maka solusi yang dilakukan adalah dengan pengembangan sistem informasi manajemen arsip berbasis web. Sistem informasi manajemen arsip ini dikembangkan dengan menggunakan framework laravel dengan metode pengembangan software development life cycle (SDLC). Hasil yang diperoleh dari kegiatan pengembangan sistem ini adalah sebuah sistem informasi manajemen arsip Fakultas Sains dan Teknologi yang dapat diakses pada https://arsip.fst.unja.ac.id untuk digunakan secara langsung dalam penyimpanan data atau dokumen, serta dapat meningkatkan efektifitas dalam pengolahan dokumen

Assessment Higher Education Perspective by Tenure of Lecturer Thesis Student Undergraduate: Elista Jefri Marzal; Edi Elisa; Pradita Eko Prasetyo Utomo; Dwi Agus Kurniawan; Muhammad Iqbal
Jurnal Pendidikan dan Pengajaran Vol 55 No 2 (2022): July
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jpp.v55i2.46228

The problem that often occurs during lectures is the mismatch of time from the supervisor's response which becomes a very difficult challenge for students in doing their final project/thesis. The purpose of this study was to analyze the supervisor's response time in conducting thesis guidance using Elista which was differentiated based on years of service. This research is a mixed method research with explanatory design, where quantitative data is strengthened by qualitative data. The population in this study were lecturers with a sample selection technique using purposive sampling technique with the sample criteria being lecturers who had become student thesis supervisors so that a sample of 1270 lecturers was obtained which was grouped into 4 work intervals, namely 1-10 years, 11-20 years. years, 21-30 years, and 31-40 years. Data collection in this study was obtained through the Elista database regarding the supervisor's response time and through interviews with lecturers from each working period. Analysis of quantitative data using descriptive analysis and qualitative data using analysis of Miles and Huberman. The results showed that lecturers with 1-10 years of service and 11-20 years had better guidance response times than lecturers with longer tenures because lecturers with 1-10 years of service were more productive in using technology and strongly supported the fast response of supervisors. The implication of this research is that to speed up the travel time of student graduation, a good response from the supervisor is needed, where this response can also be distinguished by the tenure of the lecturer.

Peramalan Indeks Harga Prulink Rupiah Equity Fund Dengan Metode Exponential Moving Average Agung Mahadewa; Made Gitra Aryawan; Pradita Eko Prasetyo Utomo
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 1 No 2 (2018): December
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Company that has the added investment products with protection products, from a variety of investment products offered, product PRUlink Rupiah Equity Fund is the most desirable, the product has a high volatility compared to other products. Because it is a customer who is also an investor in this case, often feel disadvantaged by the insurer at the time of withdrawal own funds, it is caused by a lack of knowledge to know the price index next period Alleged right is the main information needed by investors to determine the next strategy in investing, One is the method of Exponential Moving Average. This method is a method of time series are used to predict the future by using historical data. Assigning weights to involve periods, so the longer the period that we use, the smaller the final value weighting we use With the abundance of available data, the construction of a system that utilizes past data, in other words, try using a time series model time series of the past to predict, the system will be useful to assist investors in predicting the allegations of the value of equity funds in the future so as to determine the appropriate strategy for investment.

Lecturer Gender Perspective With Online Thesis Guidance Case Study Elista in Jambi University Jefri Marzal; Suwannit Chareen Chit; Edi Elisa; Pradita Eko Prasetyo Utomo; Dwi Agus Kurniawan; Rizka Octavia Sandra
Indonesian Journal on Learning and Advanced Education (IJOLAE) Vol. 4, No. 3, September 2022
Publisher : Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijolae.v4i3.18059

This research is a mixed method research using an explanatory design. The purpose of this study is to use Elista to assess a lecturer's response to thesis guidance based on the lecturer's gender. This study was condi-cted in Jambi University, involving 330 female and 359 male lecturers respectively. The sampling method used was purposive sampling technique, with the sample criterion being academics who became thesis su-pervisors. Interviews and surveys on Elista were conducted and the responses were gathered. The goal of this study is to establish a technology-based final project guidance system in which it is explored if the thesis supervisor's speedy response to guidance at Elista is affected by the gender of the thesis supervisor. The findings of the study demonstrate that female supervisors respond faster than male supervisors when em-ploying technology such as Elista to carry out the guidance procedure. Elista improves the effectiveness and efficiency of the guidance process between supervisors and students in terms of implementation.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2019.13.2.713

Analisis Sentimen terhadap Perkuliahan Daring di Indonesia dari Twitter Dataset Menggunakan InSet Lexicon: Sentiment Analysis of Online Lectures in Indonesia from Twitter Dataset Using InSet Lexicon Desi Musfiroh; Ulfa Khaira; Pradita Eko Prasetyo Utomo; Tri Suratno
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 1 No. 1 (2021): MALCOM April 2021
Publisher : Institut Riset dan Publikasi Indonesia

Pelaksanaan perkuliahan daring pada berbagai kampus di Indonesia telah dipertegas sejak makin mewabahnya virus corona. Kuliah daring menjadi solusi untuk tetap menjalankan kegiatan belajar-mengajar di tengah masa pandemi. Namun pelaksanaan perkuliahan daring memunculkan berbagai macam opini dalam masyarakat, khususnya di kalangan pelajar. Hal ini juga menimbulkan sikap pro dan kontra dari berbagai pihak. Untuk itu dilakukan penambangan data dari twitter guna menganalisis sentimen terhadap topik “kuliah daring”. Data diklasifikasikan ke dalam 3 kelas, yaitu positif, negatif, dan netral. Penelitian ini dilakukan dengan teknik lexicon-based approach menggunakan InSet Lexicon sebagai kamus kata opini berbahasa Indonesia. Penentuan kelas sentimen untuk setiap kalimat diperoleh dari hasil perhitungan polarity score. Hasil klasifikasi dari 5811 data tweet ternyata mengandung 63.4% tweet negatif, 27.6% tweet positif, dan 8.9% tweet netral. Pengujian hasil klasifikasi dilakukan dengan metode cross-validation serta confusion matrix dengan 80% data latih dan 20% data uji memberikan nilai accuracy 79.2%, precision sebesar 72.9%, recall sebesar 62.8%, dan f-measure sebesar 67.4%.

USER ACCEPTANCE OF DATA INFORMED DECISION MAKING PORTALS: APPLICATION OF THE UTAUT MODEL AND LEADERSHIP STYLES Jefri Marzal; Rizqa Raaiqa Bintana; Pradita Eko Prasetyo Utomo
Journal of Business Studies and Management Review Vol. 5 No. 1 (2021): JBSMR, Vol. 5 No.1, December 2021
Publisher : Management Department, Faculty of Economics and Business, Universitas Jambi

In general, to make decisions in the discipline of information systems are divided into two, namely Decision Support System (DSS) and Data Informed Decision Making (DIDM). DIDM is a data-driven decision-making process taking into account previous experience, user research, and other important information. Many applications are categorized as data-informed for universities, one of which is a portal that contains data or information about various aspects of a university. There are not many known factors that influence leaders to use informed data as a tool for making decisions. This study applies the UTAUT (Unified Theory of Acceptance and Use of Technology) model by adding a leadership style variable as a moderating variable. Hypothesis testing using the bootstrapping technique in this study involved a number of samples (N) of 300, testing for the two-tailed hypothesis, using a significance level of 5%. Based on the test results revealed only facilitating conditions that affect use behavior. Meanwhile, the variables of performance expectancy, effort expectancy, and social influence have no effect on behavioral intention to use the application. In addition, it was also found that the moderator variable of leadership style did not affect the relationship between performance expectancy, effort expectancy, social influence, and facilitating conditions with the intention and actual use of leaders in data informed applications to make decisions.

Co-Authors Abidin, Zainil Afifa, Afifa Lutfia Fakhira Agung Mahadewa Akhiyar Waladi Arsa, Daniel Aryani, Reni Aulia Dwiza Puteri Ayu Indryani Azhari SN Benedika Ferdian Hutabarat Benedika Ferdian Hutabarat Bisma Aulia Cepi Ramdan Cepi Ramdan Chit, Suwannit Chareen Dawam Suprayogi Dedy Setiawan Dedy Setiawan Desi Musfiroh Dewa, Raldi Fitra Dinda Fatimah Sarah Dwi Agus Kurniawan Dwi Agus Kurniawan Dwi Kurniawan Edi Saputra EDI SAPUTRA Elisa, Edi Fatoni, Yuda Fitri, Lucky Enggraini Ghaitsa Althafah Wandira Ghaitsa Althafah Wandira Hadaya, M. Syahan Afdhal Haloho, Ica Yunarti Haloho Hasanatul Iftitah Hasby Kuswanto Holis, Rahul Marcellino Iftita, Hasanatul Ilhami, Mohamad Imelda Raudati Imelda Raudati Indra Weni Jaya, Asirman Jefri Marzal Jefri Marzal Jefri Marzal Jodion Siburian Khaira, Ulfa Lucky Enggraini Fitri Lutvianita, Febby M. Taufik Hidayat Made Gitra Aryawan Mahmudin, Riyan Malik, Raihan Mauladi Mauladi Mauladi Mauladi Mh. Khathamy Fhadlullah Haq Syahlevy Mochammad Farisi Muhammad Iqbal Muksin Alfalah mutia fadhila putri, mutia fadhila Nasution, Mukhtada Billah Novita Sari Novita Sari Putra, Tri Syukria Putra, Yahya Nugraha Putri Hazmawati Putri, Anastasya Alya Ragil Johanda Rahayu Rahayu Rayandra Asyhar Repaldi Handi Saputra Reza Safitri Rizka Octavia Sandra Rizky Janatul Magwa Rizqa Raaiqa Bintana Sahrial Salmah Nur Zahra Salman Jumaili Salsabila, Adinda Desiska SAUDAGAR, FERDIAZ Sigit Indrawijaya Simanjuntak, Januar SRI RAHAYU Sukma, Silvia Antana Sulfiyandi Sulfiyandi Suwannit Chareen Chit Sylvia Kartika Wulan Bhayangkari Tasia Maidi Saputri Tasia Maidi Saputri Tedjo Sukmono Teguh Sumarsono Tri Suratno Ulfa Khaira, Ulfa Wahyu, Ofel Idhan Yenny Yuniarti Yoppie Wulanda Yosika Dian Saputri Yovita, Kristian Yuhana Yuhana Yusnita, Erli

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