cover
Contact Name
DARSONO NABABAN
Contact Email
darsono.nababan@unimor.ac.id
Phone
+628116186822
Journal Mail Official
jitu.unimor@gmail.com
Editorial Address
Department of Information and Technology, Universitas Timor Sasi, Kefamenanu City, North Timor Tengah Regency, East Nusa Tenggara
Location
Kab. timor tengah utara,
Nusa tenggara timur
INDONESIA
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,
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
Articles 61 Documents
Pengembangan Media Promosi Potensi Desa Oepuah Dengan Menggunakan Metode Waterfall Krisantus Jumarto Tey Seran; Victoria Nova Naiheli
Journal of Information and Technology Vol 1 No 1 (2021): 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 | Full PDF (659.811 KB) | DOI: 10.32938/jitu.v1i1.1373

Abstract

Abstract - Oepuah Village is one of the villages that has a lot of local potential to be promoted such as agricultural products, livestock, fisheries, and local wisdom of the local community. The problems faced today is the information about the local potential in the village Oepuah date cannot be accessed by the public for the delivery of information can only be obtained when come to the local village office. Seeing this problem, it is necessary to build a promotional website that can be used to help introduce the local potential of this area to the outside world online. In building this website, use the waterfall method is a method that provides a workflow approach to software life systematically. Results from this study may help provide convenience in providing complete information about the surrounding countryside as well as to promote the potential of a very menononjolkan featured local agricultural potential, the potential for animal husbandry, fisheries and cultural potential that can be known by the public.
IMPLEMENTASI SISTEM PENJUALAN ONLINE BERBASIS E-COMMERCE PADA USAHA UKM IKE SUTI MENGGUNAKAN METODE WATERFALL Risald Risald
Journal of Information and Technology Vol 1 No 1 (2021): 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 | Full PDF (2027.708 KB) | DOI: 10.32938/jitu.v1i1.1393

Abstract

Dengan adanya layanan jasa berupa E-Commerce maka segala layanan yang dilakukan oleh para pelanggan dapat segera ditindaklanjuti, sehingga perusahaan akan mampu memberikan pelayanan yang terbaik dan cepat. Adapun masalah dalam aktivitas jual beli yang dilakukan oleh UKM saat ini yaitu penjualan yang masih belum dilakukan secara daring (online). Oleh karena itu maka penulis ingin membuatkan suatu sitem penjualan online yang akan digunakan sebagai tempat untuk mempromosikan barang-barang yang akan dijual pada sistem tersebut. Metode Waterfall adalah pengembangan perangkat lunak yang dilakukan secara berurutan dan sangat sistematis. Dengan menggunakan Metode Waterfall, penulis akan membangun sebuah perangkat lunak (software) sistem penjualan online berbasis e-commerce yang dapat digunakan pada UKM. Sistem ini memiliki kemudahan untuk memasarkan dan menjual produk memiliki kemudahan untuk memesarkan dan menjual produk milik perusahaan dengan proses UKM dengan proses transaksi jual beli produk yaitu melalui pembayaran secara langsung. Dengan adanya Web E-Commerce yang memanfaatkan internet sebagai media pemasaran, dapat memudahkan pemilik toko untuk memberikan pelayanan terhadap konsumen/pelanggan secara optimal dan memberikan informasi 24 jam serta dapat diakses kapan saja dimana saja.
Data Mining Pengelompokan Pasien Rawat Inap Peserta BPJS Menggunakan Metode Clustering (Studi Kasus : RSU.Bangkatan) Novi Karolina Surbakti
Journal of Information and Technology Vol 1 No 2 (2021): 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 | Full PDF (577.931 KB) | DOI: 10.32938/jitu.v1i2.1470

Abstract

The system currently used by the hospital is still manual in managing patient data and information, therefore it is necessary to have a Bangkat Binjai Hospital Service system to provide complete and detailed information to hospital patients using BPJS. So in this case the author will design and build a system that will be used in grouping inpatients based on the BPJS Class and the variables determined using the clustering method, so that later it can make it easier for administrators to process data and information on inpatients using BPJS. From the tests carried out using the clustering method with the k-means algorithm, it can be seen that cluster 3 of the criteria for disease type, diagnosis result, and age, the group that has the highest set / value of BPJS Class patient data, namely in Cluster 1 totaling 435 patient data Inpatients using BPJS at the age of 20-39 years and the type of disease are benign tumors, then the BPJS class used is the Level 2 BPJS. Inpatients who use BPJS at the age of 20-39 years and the type of disease is heart complications, then the BPJS class used is BPJS Level 1. And the group that has the highest set / value of BPJS Class patient data, namely Cluster 3 totaling 270 inpatient data. who used BPJS at the age of 20-39 years and the type of disease was uric acid, then the BPJS class was used is BPJS Level 1.
Sistem Pendukung Keputusan Pemberian Jumlah Pinjaman Kepada Calon Nasabah Bumdes Menggunakan Metode Topsis (Studi Kasus Bumdes Gergas Mandiri Kecamatan Wampu) Wati, Dwi Krisma
Journal of Information and Technology Vol 1 No 2 (2021): 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.v1i2.1471

Abstract

The development of the savings and loan business is currently growing rapidly as a financial institution in alleviating poverty . BumDes is a business owned by a village or sub-district that is engaged in lending or channeling funds to people who need to develop their business. The BUMDes conducts deliberation meetings in determining loan granting. There is often disagreement between the parties that will borrow. This resulted in unequal distribution of loans to BUMDes members. Although the determination of the granting of the loan amount is fully determined by the BUMDes However, this Decision Support System will display the highest to lowest priorities of the prospective customer , so that it will facilitate and assist the BUMDes in making decisions. TOPSIS uses the principle that the chosen alternative must have the closest distance from the positive ideal solution and the longest distance (farthest) from the negative ideal solution to determine the relative proximity of an alternative to the optimal solution.
Penerapan Data Mining Korelasi Penjualan Spare Part Mobil Menggunakan Metode Algoritma Apriori (Studi Kasus: CV. Citra Kencana Mobil) Amenta Ovilianda Br Ginting
Journal of Information and Technology Vol 1 No 2 (2021): 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 | Full PDF (822.266 KB) | DOI: 10.32938/jitu.v1i2.1472

Abstract

By utilizing customer data that has been stored in the database, the management can find out how the current sales system is less efficient, therefore a system is needed to process information data more quickly and accurately in increasing sales of car spare parts using the Data Mining application. The Apriori Algorithm method that works by searching for and finding associated patterns among the products being marketed, so that later it can help companies improve the associated items. And with the sales transaction data, the company can know better how they should increase the spare part stock in the company. From the results of testing the sale of car spare parts with 589 data, it was found that 81 rules were formed and the highest Best Rule was obtained and a minimum support value of 1% and a confidence value of 11% If the type of car is Avanza / Xenia and the brand is Toyota, the spare parts used are filters. Air. With supporting spare parts in the database of 1% and certainty of spare parts of 11.
Penerapan Data Mining Pengelompokan Hasil Diagnosa Pasien BPJS Berdasarkan Usia Menggunakan Metode Clustering (Studi Kasus: RSU Bidadari Binjai) Leny Widiya Pa
Journal of Information and Technology Vol 2 No 1 (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 | Full PDF (563.43 KB) | DOI: 10.32938/jitu.v2i1.1036

Abstract

The hospital is a health service institution that provides complete individual health services that provide inpatient services. Because the large number of patient data in the hospital makes it difficult for the administration to process existing data and information, the authors want to group patient data at the hospital to produce information. and can also facilitate the hospital in providing information to patients. Cluster is finding a collection of objects in a group that are the same (or have a relationship) with others and different (or not related) with objects in other groups. The purpose of cluster analysis is to minimize the distance within the cluster and maximize the distance between clusters. And the Centroid on the cluster is the center point. From the tests carried out using the clustering method with the k-means algorithm, it can be seen that cluster 2 of the criteria for disease symptoms, diagnosis results, age, group that has the highest set / value and the most patient diagnosis data, namely in Cluster 1 totaling 825. Patient data with diagnosis results using BPJS on Symptoms of High Fever and the diagnosis is Asthma, then age is> 60 years. and the most intermediate data on patients who experience delinquency, namely in Cluster 1 amounted to 595 patient data with a diagnosis using BPJS on Symptoms of High Fever and the diagnosis is anemia, then the age used is> 60 years.
Penerapan Algoritma K-Means Tingkat Kesehatan Bayi (Studi Kasus :Dinas Kesehatan Kota Binjai) Roma Uli Br Sitanggang
Journal of Information and Technology Vol 2 No 1 (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 | Full PDF (677.775 KB) | DOI: 10.32938/jitu.v2i1.1116

Abstract

The Binjai City Health Office always conducts counseling and weighing for babies and provides information to parents about nutrition and health for babies and provides information to parents about nutrition and health in children so they are not susceptible to disease. Due to limited knowledge of parents about health and nutrition In infants, it is very worried about children who are malnourished and cause children to be easily infected with viruses and diseases, both minor and dangerous diseases. Cluster analysis is the work of classifying data (objects) based only on the information found in the data that describes these objects and the relationships between them. Objects that are joined in a group are objects that are similar (or related) to each other and different (not related) to objects in other groups. One of the most widely used methods in the cluster method is the K-Means algorithm. From the tests carried out using the clustering method with the k-means algorithm, cluster 2 of the criteria for age, body weight, body length, and motor ability, the group that has the highest and most set / value, namely in Cluster 2 totals 624 data on infant health levels. and in cluster 2 in the group of babies aged 4-6 months and weighing 4-8 kg and 55-63.5 cm long and having the ability to crawl, try to stand with assistance. And it can be seen that the 3 clusters of the criteria for Age, Weight, Body Length, and Motoric ability, the group that has the highest and most sets / values, namely in Cluster 2 totaling 368 data on the health level of infants and in cluster 2 in the group of infants aged 4-6 months. and has a body weight of 4-8 kg and a display body of 55-63.5 cm and has the ability to crawl, materials to try to stand up with assistance. And it can be seen that the 3 clusters of the criteria for age, weight, body length, and motor ability, the group that has the highest and most sets / values, namely in Cluster 4 totaling 348 data on infant health levels and in cluster 4 in the group of infants aged 7-9 months and has a body weight of 4-8 kg and a body length of 55-63.5 cm and has the ability to crawl, move the buttocks, roll, or a combination of various movements.
Information system design for alumni of Ma Chung University's information systems study program Renny Diana Syafitri
Journal of Information and Technology Vol 2 No 1 (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 | Full PDF (777.722 KB) | DOI: 10.32938/jitu.v2i1.2019

Abstract

The Alumni Information System is needed to help and make it easier to manage alumni data, a forum for communication between alumni and study programs, alumni and lecturers, alumni with alumni themselves, and alumni with their younger siblings (active students). So this research was made to help solve the problems of the Ma Chung University Information Systems Study Program to manage data and maintain close familial relationships between alumni and study programs.
Perancangan Sistem Data Wirehouse untuk Meningkatkan Kinerja Pelayanan Bantuan Bagi Masyarakat pada Kantor Lurah Oebobo dengan Menggunakan Borland Delphi 7.0 Hevi Herlina Ullu; Reany Yonanthi Mbeo; Donzilio Antonio Meko
Journal of Information and Technology Vol 2 No 1 (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 | Full PDF (628.324 KB) | DOI: 10.32938/jitu.v2i1.2410

Abstract

Abstract - Computer technology represent important medium which used in various actifity management of governance. But that way the applications in computer technology still have common traits, and there is no application which in making special for the making of bank statement able to water down service of aid to society in braiding cooperation between governmental institution and society. Result of which obtaining from this research is a System Data of Warehouse able to in utilizing to assist increase service of aid to society which in the form of giving certificate.
Sistem Pendukung Keputusan Pemberian Jumlah Pinjaman Kepada Calon Nasabah Bumdes Menggunakan Metode Topsis (Studi Kasus Bumdes Gergas Mandiri Kecamatan Wampu) Dwi Krisma Wati
Journal of Information and Technology Vol 2 No 1 (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 | Full PDF (471.953 KB) | DOI: 10.32938/jitu.v2i1.2418

Abstract

The development of the savings and loan business is currently growing rapidly as a financial institution in alleviating poverty . BumDes is a business owned by a village or sub-district that is engaged in lending or channeling funds to people who need to develop their business. The BUMDes conducts deliberation meetings in determining loan granting. There is often disagreement between the parties that will borrow. This resulted in unequal distribution of loans to BUMDes members. Although the determination of the granting of the loan amount is fully determined by the BUMDes However, this Decision Support System will display the highest to lowest priorities of the prospective customer , so that it will facilitate and assist the BUMDes in making decisions. TOPSIS uses the principle that the chosen alternative must have the closest distance from the positive ideal solution and the longest distance (farthest) from the negative ideal solution to determine the relative proximity of an alternative to the optimal solution.