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DARSONO NABABAN
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Department of Information and Technology, Universitas Timor Sasi, Kefamenanu City, North Timor Tengah Regency, East Nusa Tenggara
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Journal Of Information And Technology Unimor (JITU)
Published by Universitas Timor
ISSN : 27752775     EISSN : 27752775     DOI : https://doi.org/10.32938/jitu.v1i1
Core Subject : Science,
Computer Science & IT
Journal of information and Technology Unimor ( JITU) provides a forum for publishing the original research articles from contributors related to Big Data Research, Web Science, network and infrastructure, and computing algorithms. The scope of JITU starting from Volume 1 (2021) is as follows: Embedded system based on microcomputer/microcontroller; Robotics; Control systems; Cloud computing; Sensor network and IoT; Computer networks and security; Algorithms and artificial intelligence; Computer vision and pattern recognition, and Mobile computing. E-Business/E-commerce E-Government E-learning Human-Computer Interaction Information Assurance & Intelligent Information Security & Risk Management IS/IT Operations Management IS/IT Strategic Planning IT Governance IT Project Management Web Science Social Media in Business Multimedia Application Big Data Research New Technology Acceptance and Diffusion Green Information Systems Innovation Management/Technopreneurship
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 61 Documents
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Penerapan Aloritma Naive Bayes Untuk Membantu Mahasiswa Dalam Memprediksi Pengambilan Mata Kuliah (Studi Kasus: Prodi Teknologi Informasi Unimor Angkatan Tahun 2020) Ramaulvi Muhammad Akhyar
Journal of Information and Technology Vol. 3 No. 1 (2023): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v3i1.3953

Abstract

Abstrak - Selama semester pertama setiap mahasiswa Bagian akademik Fakultas Sains dan Teknologi Universitas Timor harus bekerja keras untuk mempelajari bagaimana melakukan penjadwalan dan penentuan mata kuliah. Namun, proses itu sendiri ditandai dengan permasalahan, dengan pengecualian fakta bahwa kelas bawaan dapat mengakibatkan pembubaran satu atau beberapa siswa. Alhasil, dikembangkanlah sebuah sistem yang dapat mengendalikan mata kuliah. Salah satu solusi tersebut menggunakan klasifikasi penambangan data. Data atribut mahasiswa seperti Nilai, IP, IPK, SKS, SKSK, dan Semester digunakan dalam proses klasifikasi, yang memungkinkan untuk prediksi tentang bagaimana mahasiswa tersebut akan mmengambil mata kuliah yang dimaksud. Indikator klasifiabilitas terdiri dari dua kelas yaitu “Ya” untuk mahasiswa yang meramal sukses dan “Tidak” untuk mahasiswa yang memprediksi gagal. Algoritma Naive Bayes Classification (NBC) digunakan untuk melakukan klasifikasi. Dataset training terdiri dari data semester ganjil tahun 2020 dan semester genap tahun 2021. Untuk pengujian, data dari semester 2022 tersedia. Tingkat akurasi prediksi mata kuliah Keamanan Sistem dan Data sebesar 21,21%, sedangkan akurasi prediksi mata kuliah Audit Sistem Informasisebesar 78,26%. Kedua mata kuliah ini terpilih sebagai bagian dari seleksi. Luaran artikel ini adalah dashboard yang menampilkan grafik hasil aktual dan prediksi untuk sejumlah kelas selama semester dan tahun berjalan.
Pembuatan Aplikasi Animasi Tuntunan Berpakaian Bagi Wanita dan Pria Muslim Berbasis Android Rahmi Aryan; Nenna Irsa Syahputri; Sarudin Sarudin
Journal of Information and Technology Vol. 3 No. 1 (2023): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v3i1.3971

Abstract

Dress is one thing that is very important as self-expression and the interaction of the wearer influences how people communicate status, personality, identity, and feelings to others. Dressing also has rules according to Islamic law, namely dressing not transparently, not tight, not the color of the skin and not resembling the opposite sex. Due to the increasing era of globalization, Indonesian people, especially children of the next generation, actually imitate or participate in globalization by dressing that is not appropriate according to Islamic law. Besides that, the era of globalization greatly affects the development of technology. An example of a highly developed technology is Smartphones based on Android. One way to attract people's interest to know how to dress properly in Islam is with animated videos. The Android-Based Dressing Guide Application for Muslim Women and Men was created with two programs, namely Adobe Animate and Herman. The Adobe Animate application is used because it has more complete and up-to-date features and fulfills the need to create Android-based applications. Animated videos are made using Adobe Animate, for audio and backsound using stock background music from the Yottube platform and other supporting websites. The result of this application is an .apk file that is compatible with Android mobile devices. The results of testing this application are expected to provide understanding to children aged 6 years and over about the benefits of dressing according to Islamic law in an attractive and fun format.
Pembuatan Video Company Profile Fakultas Teknik Dan Komputer Universitas Harapan Medan Menggunakan Metode Chroma Key Anisa Nabila Putri; Dodi Siregar; Mufida Khairani
Journal of Information and Technology Vol. 3 No. 1 (2023): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v3i1.3984

Abstract

The development of technology and information is increasingly rapid, it also has an impact on promotional media which increasingly have many ways of promoting goods or services. One of them is making a company profile video for the Faculty of Engineering and Computers Harapan Medan University, which does not yet have a company profile video as a promotional medium. Making a company profile video using the croma key method aims to introduce the institution to the wider community, convey what is on campus 3, Harapan Medan University and explain what rooms and facilities are on campus 3, Harapan Medan University. Therefore, in this study, a company profile video of the Faculty of Engineering and Computers Harapan Medan University will be made using a green screen effect using adobe illustrator, adobe after effects, and adobe premiere based on multimedia in the form of animated characters as the main characters. The method used in this study is the chroma key method because it combines animation with the original video. The results of this study will make it easier to introduce the Faculty of Engineering and Computers Harapan Medan University. By conducting a study using a questionnaire, researchers can get results from a company profile video that has been made for the Faculty of Engineering and Computers.
Modifikasi Algoritma Controlling Expansion Dalam Meningkatan Kapasitas Penyisipan Data Hiding: Modification of the Controlling Expansion Algorithm Increasing Hiding Data Insertion Capacity kristoforus Fallo
Journal of Information and Technology Vol. 2 No. 2 (2022): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v2i2.4191

Abstract

Stegonography is the art of hiding messages in other media. Stegonography is widely used to send secret messages without being known by other people by using digital media in the form of image files so that besides the sender and recipient no one knows or is aware that there is a secret message in it. Several researchers have developed these methods such as Difference Expansion, Reduced Difference Expansion, Quad Difference Expansion and Controlling Expansion. These methods have been able to recover and improve data embedding but during the running process there are several problems that often occur, namely overflow and underflow of pixel values. To overcome the above problems, we modify the Controlling Expansion algorithm by minimizing the condition of the pixel difference value and reducing the final pixel difference value after inserting the data bit and using the Location Map on the new pixel value and during secret data extraction. The experimental results show that the proposed method can increase the data storage capacity and the PSNR of stego images is higher than the previous method.
Identifikasi Tingkat Kematangan Buah Pinang Menggunakan K-Nearest Neighbor Berdasarkan Fitur Tekstur dan Warna Patricia Gertrudis Manek; Budiman Baso; Biandina Meidyani
Journal of Information and Technology Vol. 2 No. 2 (2022): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v2i2.4205

Abstract

This research builds a system for identifying the maturity level of areca fruit based on digital image processing using texture and color features through the Gray Level Co-Occurrence Matrix (GLCM) and Color moments. The initial stage of the research is image pre-processing so that it can be processed to the next stage, namely feature extraction. Texture feature extraction was performed using the Gray Level Co-Occurrence Matrix (GLCM), namely the correlation value and color feature extraction using Color moments, the mean value used in this study. Classification is done based on the features that have been extracted before. This study uses the K-Nearest Neighbor (KNN) classification method. Tests were carried out to determine the parameters that cause changes in the classification results with scenarios including determining the number of Neighbors in KNN. By using 1 Neighbors in the KNN classifier, the best accuracy is 86.36% in the process of identifying the maturity level of areca fruit.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN GURU BERPRESTASI MENGGUNAKAN METODE TOPSIS (STUDI KASUS: DINAS PPO KAB. TTU) Jeri Aurelianus Sede; Yoseph P.K Kelen; Darsono Nababan
Journal of Information and Technology Vol. 3 No. 2 (2023): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v3i2.4083

Abstract

This study aims to assist human work in knowing the decision support system for determining outstanding teachers using the topsis method using the Multi Attribute Decision Making (MADM) decision making method which is used to evaluate or select several alternatives as a decision support system using one method, namely the The trick for order preference by similarity to ideal solution (TOPSIS). This method is widely used to solve practical decision-making. This is because the concept is simple and easy to understand, computation is efficient, and has the ability to measure the relative performance of decision alternatives. There are 5 criteria used in determining outstanding teachers, namely pedagogic, personality, professional, social and innovation. From the results of calculations using the cicue for order preference by similarity to ideal solution (TOPSIS) method, the teacher who was selected as an outstanding teacher was Elisabeth Abi S.PD SD with a score of 0.825. Thecnicue for order preference by similarity to ideal solution (TOPSIS) method makes it easy to determine outstanding teachers at the youth and sports education office at TTU, this is web-based and uses the PHP programming language.
Analisis Kepuasan Pengguna Terhadap Penerapan Sistem Informasi Terpadu Layanan Prodi (SIPLO) Menggunakan End User Computing Satisfaction (EUCS) Vina Zahrotun Kamila
Journal of Information and Technology Vol. 3 No. 2 (2023): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v3i2.4128

Abstract

SIPLO is information system created and developed in order to manage academic activity scheduling data so that it can make it easier for users in intranet and internet campus academic activities. This study aims to determine the level of satisfaction of the Sistem Informasi Terpadu Program Studi (SIPLO) using the End User Computing Satisfaction (EUCS) model which includes 5 variables, namely content, accuracy, format, easy of use and timeliness. The results of the study showed that the satisfaction level of SIPLO users was 24% very satisfied, 52% satisfied, 21% quite satisfied, 2% dissatisfied and 1% very dissatisfied. The results of the hypothesis test showed that 5 variables had an effect on satisfaction and the hypothesis was accepted while the other 2 variables had no effect on satisfaction and the hypothesis was rejected.
SISTEM INFORMASI PARIWISATA DAERAH KABUPATEN MALAKA BERBASIS WEB Yanuarius Nahak
Journal of Information and Technology Vol. 3 No. 2 (2023): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v3i2.5122

Abstract

Penelitian ini berfokus pada pengembangan Sistem Informasi Pariwisata daerah Kabupaten Malaka berbasis website. Kabupaten Malaka memiliki potensi pariwisata yang menarik, seperti Pantai Abudenok, Motadikin, Lao'odik, dan Pos Lintas Batas Negara (PLBM) Motamasin. Namun, informasi mengenai tempat-tempat pariwisata ini belum terpublikasi dengan baik karena beberapa lokasi berada di daerah pelosok. Tujuan penelitian ini adalah merancang dan membuat sistem informasi pariwisata berbasis web untuk Kabupaten Malaka, serta menguji kualitas sistem yang telah dibuat. Dengan sistem informasi ini, diharapkan dapat meningkatkan promosi dan pengelolaan objek-objek wisata di Kabupaten Malaka. Penelitian ini menggunakan metode penelitian terapan dengan tahapan pengumpulan data, identifikasi masalah, perancangan sistem, pengujian, implementasi, dan pemeliharaan. Analisis kebutuhan sistem dilakukan melalui observasi, wawancara, dan studi pustaka. Sistem ini memiliki fitur seperti tampilan informasi wisata, laporan data wisata, posting informasi, review data, dan fitur login untuk admin. Implementasi dilakukan dengan membuat antarmuka pengguna (UI) sesuai dengan perancangan yang telah dibuat. Pengujian sistem dilakukan melalui uji coba dengan pengguna admin dan pengguna biasa (user). Hasil pengujian menunjukkan bahwa sistem berhasil memenuhi fungsionalitas yang diharapkan, seperti pengelolaan data wisata, posting informasi, dan review data.man Judul
Analisis Tingkat Kepuasan Mahasiswa Terhadap Perkuliahan Daring Di Era Covid 19 Menggunakan K-Means Clustering Theresia Avila Babu; Darsono Nababan
Journal of Information and Technology Vol. 3 No. 2 (2023): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v3i2.5130

Abstract

Penyakit Covid 19 atau yang sering disebut dengan Virus Corona saat ini sedang menjadi perhatian dunia salah satunya di Indonesia. Dampak dari covid 19 di Indonesia merambat ke berbagai sektor terutama sektor pendidikan yang mengakibatkan perubahan besar dalam proses pembelajaran. Tingkat keefektifan serta tingkat kepuasan siswa terhadap proses pembelajaran sangat dipengaruhi oleh pembelajaran yang dilaksanakan secara daring, yang berdampak tidak hanya pada perubahan perilaku siswa tetapi juga pada cara mengajar. Sehingga terdapat ketidakpuasan serta tanggapan yang berbeda dalam proses belajar mengajar dari mahasiswa/i dikarenakan jaringan yang sering terganggu dan terbatasnya kouta internet. Tujuan dari penelitian ini yaitu mengukur tingkat kepuasaan mahasiswa/i terhadap proses belajar mengajar yang dilakukan secara daring, dengan menggunakan metode K-Means clustering berdasarkan perspektif mahasiswa/i. Penelitian ini melibatkan 1406 responden dari hasil pembagian kuisoner melalui google form, kemudian data yang diperoleh akan dianalisis menggunakan software phyton untuk membantu dalam proses analisis. Hasil penelitian ini menunjukan bahwa data yang diperoleh dari empat kategori tingkat kepuasan mahasiswa/i yaitu cluster 1 kategorinya baik persentase 39,5 %, cluster 2 kategorinya kurang baik persentase 16,1 %, cluster 3 kategorinya sangat baik persentase 15,9 %, dan cluster 4 kategorinya cukup baik persentase 28,4 %.
Analisis Kinerja Mikrokomputer Raspberry Pi Pada Smart Greenhouse Berbasis Internet Of Things (IoT) Menggunakan Algoritma Naive Baye Philipus Asten; Risald Risald
Journal of Information and Technology Vol. 3 No. 2 (2023): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v3i2.5231

Abstract

Smart Greenhouse adalah sistem yang menggunakan teknologi Internet of Things (IoT) untuk mengontrol dan memantau lingkungan pertumbuhan tanaman secara otomatis. Dalam melakukan analisis kinerja mikrokomputer Raspberry Pi dalam Smart Greenhouse berbasis IoT, dengan menerapkan algoritma Naive Bayes untuk menganalisis data dan membuat keputusan berdasarkan kondisi lingkungan tanaman. Hasil analisis terhadap mikrokomputer Raspberry Pi pada Smart Greenhouse menggunakan algoritma Naive Bayes dapat digunakan untuk memprediksi variabel lingkungan, seperti suhu dan kelembapan, sesuai data yang diperoleh dengan total data set adalah 500 baris menggunakan 4 variabel dengan mempunyai nilai evaluasi terhadap suhu udara dengan MSE (0.25) dan RMSE (0.50), kelembapan udara dengan MSE (0.07) dan RMSE (0.27), kelembapan tanah dengan MSE (0.00) dan RMSE (0.00) dan UV dengan nilai MSE (0.94) dan RMSE(0.97) Smart Greenhouse adalah sistem yang menggunakan teknologi Internet of Things (IoT) untuk mengontrol dan memantau lingkungan pertumbuhan tanaman secara otomatis. Dalam melakukan analisis kinerja mikrokomputer Raspberry Pi dalam Smart Greenhouse berbasis IoT, dengan menerapkan algoritma Naive Bayes untuk menganalisis data dan membuat keputusan berdasarkan kondisi lingkungan tanaman. Hasil analisis terhadap mikrokomputer Raspberry Pi pada Smart Greenhouse menggunakan algoritma Naive Bayes dapat digunakan untuk memprediksi variabel lingkungan, seperti suhu dan kelembapan, sesuai data yang diperoleh dengan total data set adalah 500 baris menggunakan 4 variabel dengan mempunyai nilai evaluasi terhadap suhu udara dengan MSE (0.25) dan RMSE (0.50), kelembapan udara dengan MSE (0.07) dan RMSE (0.27), kelembapan tanah dengan MSE (0.00) dan RMSE (0.00) dan UV dengan nilai MSE (0.94) dan RMSE(0.97)

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