J-Intech (Journal of Information and Technology)
J-INTECH merupakan jurnal yang diterbitkan oleh Lembaga Penelitian & Pengabdian kepada Masyarakat (LPPM), Sekolah Tinggi Informatika dan Komputer Indonesia Malang. Ruang lingkup jurnal ini pada bidang Teknik Informatika, Sistem Informatika, dan Manajemen Informatika. Tujuannya guna mengakomodasi kebutuhan akan perkembangan Teknologi Informasi. J-Intech terbit setahun dua kali, yaitu Juni dan Desember.
Articles
288 Documents
<![CDATA[Klasifikasi Sentimen Ulasan Aplikasi WhatsApp di Play Store Menggunakan Naive Bayes Classifier ]]>
<![CDATA[Yolanda, Khovifah]]>;
<![CDATA[Yusra, Yusra]]>;
<![CDATA[Fikry, Muhammad]]>
<![CDATA[ J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology ]]>
Publisher : <![CDATA[LPPM STIKI MALANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.32664/j-intech.v11i1.867
<![CDATA[Currently, people can easily make remote contact with the WhatsApp application which makes it easier for users to communicate such as sending text messages, pictures, videos, voice messages, sharing files to make voice and video calls for free with internet access. WhatsApp is a digital application that can be used by the public for free, users can also provide reviews through the Google Play Store. The reviews on the Google Play Store are the opinions of users in providing input to application developers. This test aims to ascertain consumer opinions or emotions towards the WhatsApp application by applying the Naïve Bayes Classifier method in the process of classifying consumer reviews which will be used to solve for the highest score. The reviews are divided into two labels, namely positive reviews and negative reviews. Based on the tests that have been carried out, the highest accuracy results are obtained at a ratio of 90:10 with an accuracy of 81%, 74% precision and 54% recall with an unbalanced number of datasets, namely 669 positive reviews and 331 negative reviews. negative sentiment.]]>
<![CDATA[Optimalisasi Jalur Terpendek Menggunakan Algoritma Genetika ]]>
<![CDATA[jasmani, jasmani]]>;
<![CDATA[Mahmudi, Ali]]>
<![CDATA[ J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology ]]>
Publisher : <![CDATA[LPPM STIKI MALANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.32664/j-intech.v11i1.809
<![CDATA[Traffic problems in a big city are quite complicated to deal with. Various traffic problems such as traffic jams, accidents and others. One of the problems included in the traffic problem is the search for a path or route to a location. Pathfinding is very necessary for road users who do not know which way to go to get to their destination in a city. Especially for road users who are visiting the city for the first time. It is also possible for residents of big cities themselves who do not know by heart or do not know which route to take to get to a place they want. Time and cost savings are other factors that require road users to find the shortest path to get to their destination more quickly. Because of that, the search for the shortest path becomes a problem that deserves to be solved computerized with artificial intelligence (Artificial Intelligence). In the case that we try to discuss using the genetic algorithm method.]]>
<![CDATA[Identifikasi Viseme Untuk Fonem Bahasa Madura Berbasis Clustering Berdasarkan Facial Landmark Point ]]>
<![CDATA[Andriyanto, Pyepit Rinekso]]>;
<![CDATA[San, Joan]]>;
<![CDATA[Setyati, Endang]]>
<![CDATA[ J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology ]]>
Publisher : <![CDATA[LPPM STIKI MALANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.32664/j-intech.v11i1.835
<![CDATA[The most effective form of language in communicating is spoken or spoken language. When speaking humans will move their mouth and lips to say certain words. This mouth and lip movement model describes a viseme (visual-phonem), namely a group of phonemes that have a visual or almost the same appearance. Madurese language is a unique language and has certain characteristics. In addition to having a language level, Madurese has aspirated phonemes or exhaled word pronunciations such as: /bh/, /dh/, /Dh/, /gh/ and /jh/ which do not exist in other languages. This research discusses the identification of viseme classes for Madurese phonemes based on clustering based on facial landmark points. Of the 47 Madurese language phonemes, 9 Madurese language visemes were obtained from the K-Means clustering process. The clustering process uses feature extraction based on facial landmark points so that the distance calculation for each feature is obtained. The features used are geometric features. The Madurese viseme model is used to build 2D mouth animations in uttering Madurese words or sentences based on input in the form of text. The benefit of this research is for learning purposes in pronouncing Madurese words or sentences, because Madurese has different writing and pronunciation.]]>
<![CDATA[Sistem Pakar Diagnosa Penyakit Pada Ibu Hamil Menggunakan Metode Forward Chaining ]]>
<![CDATA[Sundari, Jenie]]>;
<![CDATA[Wulandari, Siti]]>;
<![CDATA[Budiarti, Yusnia]]>;
<![CDATA[Nainggolan, Esron Rikardo]]>
<![CDATA[ J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology ]]>
Publisher : <![CDATA[LPPM STIKI MALANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.32664/j-intech.v11i1.838
<![CDATA[Pregnant women can be attacked by pregnancy disease, the disease can be known from the symptoms it causes, however, to find out exactly what disease is suffered by pregnant women, an expert or obstetrician is needed. In this study a website-based expert system was designed using basic rules with the forward chaining inference method aimed at helping pregnant women in diagnosing pregnancy diseases early on. This expert system is capable of diagnosing diseases suffered by pregnant women in accordance with the symptom questions posed to be answered by pregnant women, will display the results of the diagnosis, details about the disease and how the disease is treated.]]>
<![CDATA[Simple Additive Weighting Untuk Penentuan Target Pasar ]]>
<![CDATA[Wijaya, Gabriel Alan]]>;
<![CDATA[Marfuah, Marfuah]]>;
<![CDATA[Widiantoro, Suryo]]>
<![CDATA[ J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology ]]>
Publisher : <![CDATA[LPPM STIKI MALANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.32664/j-intech.v11i1.841
<![CDATA[Changes in information and communication technology have encouraged the formation of an information society. One of the strategic elements for business organizations is processing data quickly and accurately for decision making. Therefore we need a computer-based decision support system that can support the company's decision-making process quickly and accurately. Currently, Glints Talenthub Batam still uses manual methods for decision making in determining the target market, so it takes a long time and results are less accurate. Based on this, the authors try to develop a computer-based decision support system with the Simple Additive Weighting (SAW) method to assist the decision-making process in determining the target market at Glints Talenthub Batam. The results of this study are useful for getting a faster and more accurate decision on which target market to take at Glints Talenthub Batam. In this case, the best target market decision to make is Canada and the United States (San Francisco) ranking first with a final score of 18.68, followed by the United Kingdom in the next rank with a final score of 18.35.]]>
<![CDATA[Sistem Pendukung Keputusan Seleksi Anggota Paskibraka Kabupaten Pamekasan ]]>
<![CDATA[Maulidanitamyizi, Moh Fahmi]]>;
<![CDATA[Hoiriyah, Hoiriyah]]>;
<![CDATA[Hozairi, Hozairi]]>
<![CDATA[ J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology ]]>
Publisher : <![CDATA[LPPM STIKI MALANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.32664/j-intech.v11i1.843
<![CDATA[This study evaluates the use of the Decision Support System (SPK) with the AHP method for the selection of Paskibraka members in Pamekasan Regency. The criteria used in this study were Body Posture (PT), Height (TB), and Health (K). The results of ranking the first priority criteria are Height (K = 0.70), second is Height (TB = 0.21), and third is Body Posture (PT = 0.08). From the results of the alternative ranking of the selected paskibraka participant candidates, A8=0.22, A7=0.20, A6=0.16, A5=0.12, A4=0.09, A3=0.06, A2=0.06, and A3=0.05. The contribution of the SPK application will help the committee evaluate the recruitment process of team members objectively.]]>
<![CDATA[Analisis Instalasi Jaringan Internet Desa Karangjati ]]>
<![CDATA[Widodo, Pudji]]>;
<![CDATA[Suleman, Suleman]]>;
<![CDATA[Simpony, Bambang Kelana]]>
<![CDATA[ J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology ]]>
Publisher : <![CDATA[LPPM STIKI MALANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.32664/j-intech.v11i1.848
<![CDATA[Advances in information technology are currently growing very rapidly in line with the human need to access information quickly, easily and accurately. The Internet network is one of the tools to meet these information needs. BUMDesa of Karangjati Village creates a small village-owned server that is intended to facilitate the community's Internet needs at a more affordable price than the prices of other internet service providers. The research was conducted to observe and improve the network topology, so as to maximize the internet network belonging to BUMDesa Karangjati Village. In addition, research is conducted to solve problems such as running out of ports when there are additional subscribers or overcoming user modems that are often interrupted by replacing a problematic modem adapter or replacing an old modem with a new modem. The method used is by conducting direct observations and interviews with BUMDesa Jati Lestari Karangjati Village. The proposed configuration scheme is created using the Cisco Packet Tracer simulation application. Based on the results of internet research owned by BUMDesa Karangjati Village, it uses a tree topology because there is only one central server and the IP address address configuration uses class C, because it still uses a network on a small scale. The transmission medium uses a fiber optic cable from the server and the addition of ports will continue to be carried out in line with the increase in internet network subscribers.]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan Bibit Sapi Unggul Madura Dengan Menggunakan Metode Analytical Hierarchy Process (AHP) Dan Simple Additive Weighting (Saw) ]]>
<![CDATA[Putri, Dewi Amiliana]]>;
<![CDATA[Bakir, Bakir]]>;
<![CDATA[Hozairi, Hozairi]]>
<![CDATA[ J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology ]]>
Publisher : <![CDATA[LPPM STIKI MALANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.32664/j-intech.v11i1.851
<![CDATA[In general, cows are mammals or herbivores which are very useful for the village community, especially the Samatan village community. In addition to the edible meat and milk that can be processed for consumption, most farmers can also use cow dung as fertilizer. Madura cattle are one of the local cattle breeds raised by community farms in Indonesia, especially on the island of Madura, East Java. Livestock is an activity that improves the economy, especially livestock. Because Many people still don't understand which type of high-quality livestock is suitable. How did it develop? In this study, researchers wanted to create a decision support system used to determine the quality of cattle. The research sample focuses on Madura cattle, superior livestock using the AHP (Analytical Hierarchy Process) SAW (Sample Additive Weighting) method and developing application decision support systems (SPK). From the calculation results of the AHP (Analytical Hierarchy Process) SAW (Sample Additive Weighting) method]]>
<![CDATA[Aplikasi Penyesuaian Stock Sebagai Pendukung Proses Audit Pada Perusahaan Manufaktur dengan Metode RAD ]]>
<![CDATA[Charlitos, Ralfpiere]]>;
<![CDATA[Adam, Steffi]]>
<![CDATA[ J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology ]]>
Publisher : <![CDATA[LPPM STIKI MALANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.32664/j-intech.v11i1.859
<![CDATA[XYZ is one of many manufacturing companies in the city of Batam operating in the field of plastic injection molding attempting to improve their business process by creating and integrating an information processing system. Currently, PT. XYZ is facing an issue regarding inaccuracy between physical and digital stock. This issue caused PT. XYZ to miss an opportunity to appeal towards a larger market. Despite doing an inventory audit, the inhouse system owned by the company didn’t accommodate input of the audit result regarding the stocks real condition, thus causing a need for time to figure out the root cause of a stock inaccuracy issue and to also solve it. This research is done to develop an application using a short and fast development cycle and implementation to receive results quicker with the intention of allowing the company to make a decision. The method used in Rapid Application Development (RAD), contains 3 processes which consists of, Requirements Planning, Design and Implementation. The result of the research shows that implementation of this system speeds up the investigation process of stock inaccuracy so that the company could deal with issue at hand immediately. Furthermore, according to observation results, the accuracy of the data between the system and the actual achieved 90%, which is an increase of around 30-40% compared to before the system was implemented]]>
<![CDATA[Komparasi Performa Algoritma Kompresi Data Lossless Menggunakan Rasio Kompresi Dan Penghematan Ruang ]]>
<![CDATA[Hanif, Aswar]]>;
<![CDATA[Wahyudi, Endang]]>;
<![CDATA[Adianto, Harna]]>;
<![CDATA[Martanto, Lilik]]>
<![CDATA[ J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology ]]>
Publisher : <![CDATA[LPPM STIKI MALANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.32664/j-intech.v11i1.863
<![CDATA[Data growth is a sizeable challenge. The goal of data compression is to reduce the size of data needed to still represent useful information. Data compression can be used to increase the efficiency of data storage, transmission and protection. Lossless algorithms can precisely reconstruct the original data from the compressed data. Lossless compression is often used for data that needs to be stored or transmitted accurately. Several lossless compression methods and algorithms include the Lempel–Ziv–Markov chain algorithm (LZMA), Prediction by partial matching (PPM), Burrows-Wheeler block sorting text compression algorithm and Huffman coding (BZip2), and Deflate. Even though all compression systems are based on the same principles, there should still be differences in performance. Because of that, a general guide is needed to help determine the most appropriate data compression algorithm to use. This study aims to determine the data compression algorithm that has the best performance, based on a comparison using the Compression Ratio and Space Saving values. The research phase begins with determining the compression algorithm used, data preparation, performance testing, to then be discussed and conclusions drawn. The results show that the compression ratio and space savings that can be achieved specifically will depend on the data used. Although the range of average values of compression performance is not that big, in general LZMA2 shows the best results with a compression ratio of 1.457 and a space saving of 15.00%. Hopefully, the results of this test can be used as an overview in helping to choose a lossless data compression algorithm.]]>
