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All Journal Dinamik Sinkron : Jurnal dan Penelitian Teknik Informatika Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Media Informatika TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Jurnal Ilmiah Multidisiplin Indonesia INOVTEK Polbeng - Seri Informatika
Indra, Evta
Universitas Prima Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Physics

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Sistem Informasi Manajemen Kampus dengan Pengembangan Model Smart Campus : (Studi Kasus Di Universitas Prima Indonesia) Indra, Evta; Dwi Rizky, Atikah
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 2 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Sisfokomtek

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Abstract

Smart Campus sudah muncul sebagai konsep penting dalam penerapan teknologi di dunia pendidikan, beberapa tahun terakhir, banyak peneliti dari berbagai kalangan disiplin ilmu tentang topik tersebut. Namun, tetap saja konsep tersebut belum berkembang secara keseluruhan dan tidak memiliki kerangka kerja. Maka dari itu peneliti melakukan perkembangan mengenai smart campus. Sistem akademik yang sedang berjalan saat ini di Universitas Prima Indonesia (UNPRI) masih menggunakan website dimana kekurangan sistem berbasis web tersebut apabila terlalu banyak mahasiswa dan dosen yang berkunjung ke website ataupun website overload akan terjadi error pada sistem, kurangnya minat mahasiswa dalam membuka sistem yang berbentuk website, tidak ada informasi yang jelas mengenai organisasi kampus, tidak adanya sistem perpustakaan, sistem pembayaran uang kuliah masih manual, sistem absensi juga masih manual menyebabkan banyak kecurangan, tidak ada informasi mengenai lokasi dan letak fakultas UNPRI sehingga sistem website tidak efisien. Untuk mengatasi hal tersebut peneliti memanfaatan teknologi basis android sebagai solusi sistem dimana untuk perkembangan sistem menggunakan metode pengembangan perangkat lunak DevOps, tujuan metode DevOps membangun sebuah kerangka sistem dimana suatu perusahaan bisa menghasilkan, menguji, serta meluncurkan program dengan lebih cepat dan bisa diandalkan. Hasil dari sistem ini memperoleh uji kelayakan fungsionalitas 68% sangat bagus, 20% bagus, 5% kurang bagus, 4% buruk, 3% sangat buruk dan hasil uji interface 62% sangat bagus, 26% bagus, 7% kurang bagus, 3% buruk, 2% sangat buruk, dengan sistem ini menimimalisirkan error pada website.
Perancangan Aplikasi Media Pembelajaran Pengenalan Pakaian Adat Nusantara Menggunakan Augmented Reality Berbasis Android Indra, Evta; Dwi Rizky, Atikah; Sianturi, Santo Sanro; Siregar, Reinhrad Shodani; Buulolo, Deniarwinus
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 2 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Sisfokomtek

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Abstract

Teknologi yang telah banyak berkembang saat ini, seperti digunakan dalam media edukasi, dengan perkembangan teknologi tersebut, terutama di teknologi Augmented Reality dapat di terapkan sebagai media pembelajaran pengenalan hasil karya anak bangsa Indonesia khususnya pada Pakaian Adat Nusantara. Sebuah smartphone pada saat ini tidak hanya berfungsi untuk menelpon atau mengirim pesan saja, sudah banyak fitur canggih dari berbagai macam aplikasi. Dengan fenomena perkembangan teknologi saat ini, penulis mencoba memberikan alternatif pemahaman serta pembelajaran terhadap Pakaian Adat Nusantara di domestik maupun manca negara dengan media Augmented Reality. Hal ini dilakukan agar Pakaian Adat Nusantarasebagai warisan bangsa Indonesia tidak hilang dipandangan masyarakat. Selama ini sistem pemahaman atau cara memperkenalkan Pakaian Adat Nusantara masih bersifat konvensional. Dampak dari metode itu kurang signifikan dengan era teknologi canggih saat ini. Pengujian penggunaan aplikasi menunjukkan 36% sangat bagus, dan hasil uji coba user interface 49% sangat bagus.
Perancangan Aplikasi Penyeleksian Penerimaan Siswa Untuk Mengikuti Oliampiade Sains Berbasis Android Indra, Evta; Simangunsong, Sarah
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 2 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Sisfokomtek

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Abstract

Pada umumnya sekolah hanya memilih siswa berdasarkan peringkat atau rangking untuk bisa mengikuti olimpiade yang diselenggarakan oleh pemerintah. Sehingga masih banyak siswa yang tidak berkesempatan untuk mengikuti olimpiade. Sementara dalam penentuan calon siswa yang akan mengikuti olimpiade diperlukan tes akademik yang akurat. Untuk mengatasi hal tersebut dapat digunakan sistem penyeleksian peserta berbasis android yang dapat menetukan kemampuan siswa dalam bidang studi yang mereka kuasai. Dengan adanya penelitian ini maka penentuan peserta olimpiade akan lebih akurat, dimana pembahasan mengenai pemilihan peserta dalam mengikuti berbagai lomba pernah dilakukan oleh beberapa peneliti seperti, Simple Additive Weight (SAW) dapat digunakan untuk menentukan Peserta Lomba Kompetensi Siswa (LKS) tingkat Sekolah.
Analisis User Interface Website SIAM UNPRI Berbasis Eye Tracking Indra, Evta; Farhan, Muhammad; Lumbanraja, Lamtiur Rondang Wulan; Karim, Anggie Monica; Mariyanti, Eka; Akbari, Deni Adha; Edison, Rizki Edmi
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 3 (2024): Juli 2024
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v6i3.1387

Abstract

This research aims to analyze the visual attention of the User Interface/User Experience (UI/UX) of the Student Academic Information System (SIAM) website at Prima Indonesia University (Unpri) based on eye tracking to enhance user experience. Unpri, as a progressive educational institution, has utilized information technology to provide academic services for students through the online SIAM. However, the complexity of some features within the learning platform often poses difficulties for certain students in its usage. In order to improve the effectiveness and efficiency of the SIAM website, this research employs eye tracking methodology to observe users' eye movements while interacting with the website interface. The findings of this research are expected to provide valuable insights to the campus administration to enhance user experience, thus making the SIAM website a more effective and efficient system in supporting the learning process and academic administration at Unpri.
Analysis of Air Quality Measuring Device Using Internet of Things-Based MQ-135 Sensor Sitanggang, Delima; Sitompul, Chris Samuel; Suyanto, Jao Han; Kumar, Sharen; Indra, Evta
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.11618

Abstract

Air is a gas that is indispensable for the survival of living beings. As the times progress, the air we breathe is increasingly not good for the health of living beings. In most situations, humans cannot tell the difference between good and bad air conditions. The purpose of this research is to design a tool that can monitor air quality in many places using an Internet of Things-based concept, the MQ-135 gas sensor and display it on a 16x2 LCD and Blynk application. This study uses a direct test method to identify gases around the MQ-135 sensor with the NodeMCU ESP 8266 as a controller. Air quality is divided into 5 categories, which consists of good, average, unhealthy, very unhealthy, and dangerous. After the air quality value is displayed on the 16x2 LCD screen, the user can monitor the air quality remotely using the blynk application on the smartphone. It can be concluded that the design of this tool can detect air quality in classrooms, vehicle exhaust fumes, gas lighters, house rooms, and burned paper. If the air quality is bad, the buzzer will release the sound to notify that the air quality is poor according to the index of air quality.
Analysis Indonesia’s Export Value Forecasting to G20 Countries Using Long Short-Term Memory Neural Network Method Veronica, Veronica; Silaban, Herlan; Nasution, Syafrani Putri; Indra, Evta
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.12794

Abstract

Export is one of the most important ways for the country to generate income, which can have an impact on the country's economic stability. This research aims to forecast the value of Indonesian exports to G20 member countries. The Long Short-Term Memory method is used in this research to examine historical data on Indonesian exports from the previous 16 years. Experimental results show that the LSTM Neural Network method has the ability to predict the value of Indonesian exports to G20 member countries with a sufficient level of accuracy. The predictions generated by the model provide insight into trends and fluctuations in the value of exports in the future. The results of this study provide insight into the potential application of artificial intelligence techniques in economic and trade analysis. The results demonstrate that the LSTM model is capable of producing relatively accurate predictions, with an average score of Root Mean Square Error (RMSE) on training data is 0.10 and on testing data is 0.13, as well as graphs of prediction results demonstrating that the LSTM model can capture patterns and trends from Indonesia's export data to G20 countries. According to the prediction results, the highest export value to China is expected to be $6,100,000 in the 200th month (or in the year 2039), while the lowest export value to Mexico is expected to be $27,000 in the 135th month (or in the year 2034).
CLASSIFICATION OF ELECTROCARDIOGRAM (ECG) WAVES OF HEART DISEASE USING THE XGBOOST METODE METHOD Butarbutar, Serly Yunarti; Napitupuluh, Christian Deniro; Ginting, Nessa Sanjaya; Indra, Evta; Sitanggang, Delima
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

CLASSIFICATION OF ELECTROCARDIOGRAM (ECG) WAVES OF HEART DISEASE USING THE XGBOOST METODE METHOD
Rancang Ulang dan Uji Kegunaan SPADA UNPRI: Menerapkan Nielsen’s Poisson Model Hutauruk, Jesika Avonia; Indra, Evta
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp90-96

Abstract

This research aims to redesign and evaluate the usability of the SPADA website at Universitas Prima Indonesia (UNPRI) by applying Nielsen’s Poisson Model in usability testing. The primary objective is to enhance the website's interface for both new and returning users while reducing the number of respondents needed for usability tests without compromising the validity of the results. The research involves several prototype development iterations, each tested by different respondent groups. Results indicate significant improvements in user satisfaction and a reduction in task completion time with each iteration. Nielsen’s Poisson Model was effective in identifying usability issues, with major problems resolved in early iterations and minor ones discovered in later phases. The final prototype is expected to significantly improve the usability of the SPADA UNPRI website.
ANALISIS GERAKAN MATA UNTUK DETEKSI ALZHEIMER: STUDI KOMPARATIF LIMA METODE UTAMA Ziegel, Dennis Jusuf; Indra, Evta
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1598

Abstract

In the digital era, eye-tracking technology has emerged as a valuable non-invasive tool for assessing neurological and cognitive functions. This review explores five key methods for evaluating Alzheimer’s Disease (AD) using eye-tracking: fixation and saccade analysis, pupil size measurement, task-specific eye-tracking, reading task analysis, and novelty preference scores. Fixation and saccade metrics reveal significant disruptions in visual scanning and information processing in AD patients, characterized by longer fixation durations and reduced saccade frequency. Pupil size measurements indicate diminished cognitive load and emotional responsiveness. Task-specific eye-tracking, including tasks such as image description, shows difficulties in maintaining focus and interpreting visual stimuli. Reading task analysis highlights increased fixation durations and backward saccades, reflecting challenges in text comprehension and information retention. Novelty preference scores suggest reduced interest in new stimuli, correlating with cognitive decline. These findings underscore the potential of eye-tracking metrics for early detection and monitoring of AD, though variability in eye movement patterns and additional factors like sleep disorders emphasize the need for comprehensive diagnostic approaches.
Prediksi Turis Mancanegara ke Indonesia Menggunakan Metode EDA Time Series dan LSTM Wiratama, Westlie; Alifah, Lutfi Aulia; Gurusinga, Alta; Indra, Evta
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i2.637

Abstract

Indonesia experienced a decline in the number of tourists, with a 74.9 percent decrease in tourist arrivals in 2020 compared to 2019, which had a significant impact on the country's economy. However, in 2022, as Indonesia and the world were moving towards a normalization phase, the country began to see an increase in tourist visits. The exact number of tourists cannot be determined, but it is crucial to predict and forecast the future patterns of tourist arrivals so that the government and travel agencies can make informed decisions regarding policy changes. Therefore, the research problem in this study is how to apply the Exploratory Data Analyst (EDA) method and Long Short Term Memory (LSTM) to explore and predict the patterns of tourist arrivals in the future, providing guidance for determining appropriate policies. Based on the EDA results, the majority of tourist visits come from the Asian continent, with Malaysia contributing the highest number of tourists, followed by China and Timor-Leste. On the other hand, the LSTM method predicts that the highest number of tourist arrivals will occur in August 2024, with 580,000 visitors from the Asian continent, and in May 2025, with 580,000 visitors from ASEAN countries. The Mean Absolute Percentage Error (MAPE) for the LSTM method is 13.84 for the Asian continent and 15.96 for ASEAN countries.
Co-Authors ., Calvin Abellista, Tivanez Ballerina Ahmad Rifai Akbari, Deni Adha Alfi, Ahmad Haikal Alifah, Lutfi Aulia Alvarez, Stevin Amalia Amalia Aminatunnisa, Siti Amir Saleh ANITA . Bangun, Dea Monica Bangun, Frans Aditya Banjarnahor, Jepri Barus, Daniel Haganta Brutu, Lolo Frans M. Butarbutar, Serly Yunarti Buulolo, Deniarwinus Candra, Kevin daniel christian Delima Sitanggang, Delima Dina Pratiwi, Dina Dwi Rizky, Atikah Edison, Rizki Edmi Fahmi, Mohammad Irfan Fando, Al Farrona, Rio Fidelis, Rio Giawa, Well Friend Ginting, Nessa Sanjaya Ginting, Ricci Kincahar Bastoto Kevin Gulo, Agustinus Gultom, Yeni Gurusinga, Alta Harahap, Charles Bronson Hutabarat, Fenna Kemala Hutabarat, Lerry Yos Santa Angelina Hutasoit, Leo Nardo Hutauruk, Jesika Avonia Juanta, Palma Juliandra, Vella Karim, Anggie Monica Keliat, Ribka Amelia Yunita Kumar, Sharen Loi, Mentari Hati Lowell, Alvis Lowell, Audric Lumbanraja, Lamtiur Rondang Wulan Maharja, Okta Jaya Manullang, Murni Esterlita Mariyanti, Eka Marpaung, Aldo Andy Yoseph Tama Matondang, Enjelika Mawaddah Harahap, Mawaddah MAYANTI, NUR Meizar, Abdul Muhammad Farhan Muhammad Yasir Muhardi Saputra Napitupuluh, Christian Deniro Nasution, Adli Abdillah Nasution, Syafrani Putri NK Nababan, Marlince Okta Jaya Harmaja Oloan Sihombing, Oloan Pakpahan, Ferdinand Linggo Panjaitan, Ezra Christina Septiana panjaitan, haris samuel pranada Piay, Clara Stephanie Bernadeth Pratama, Febryan Purba, Salda Sari Rahil, Rafif Rahmad, Julfikar Reinaldo, Erick Rifaldo, Rifaldo Ruben Ruben, Ruben Saragih, Septua Fujima Sembiring, Diarnia Mega Selfia Sembiring, Joni Satrio Sembiring, Yudha Brema Agriva Sianturi, Santo Sanro Siburian, Astri Dahlia Silaban, Herlan Simajuntak, Yusuf Natanael Simamora, Wanda Pratama Putra Simangunsong, Sarah Simanjuntak, Mega Herlin Simarmarta, Brando Benedictus Simbolon, Ongki Sopie Sinaga, Putri tua Sinurat, Stiven Hamonangan Siregar, Frissy Siregar, Reinhrad Shodani Siringo Ringo, Jaka Tomi Ronaldo Sitanggang, Audina L Sitompul, Chris Samuel Sitompul, Daniel Ryan Hamonangan Sitorus, Sarah Tri Yosepha Situkkir, Miando Mangara Situmorang, Andreas Solly Aryza Suhamdani, Dadan Suwanto, Jacky Suyanto, Jao Han Tampubolon, Irfan Saputra Tarigan, Nina Veronika Tarigan, Sri Wahyuni VERONICA VERONICA Vicraj, Vicraj Wijaya, Malvin Luckianto Wiranto, David Wiratama, Westlie Wirhan Fahrozi, Wirhan Yonata Laia Ziegel, Dennis Jusuf