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Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Published by Lembaga Komunitas Informasi Teknologi Aceh
ISSN : -     EISSN : 25801643     DOI : https://doi.org/10.35870/jtik
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), e-ISSN: 2580-1643 is a free and open-access journal published by the Research Division, KITA Institute, Indonesia. JTIK Journal provides media to publish scientific articles from scholars and experts around the world related to Hardware Products, Software Products, IT Security, Mobile, Storage, Networking, and Review An application service. All published article URLs will have a digital object identifier (DOI).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 722 Documents
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Black-Box Testing : Analisis Kualitas Aplikasi Source Code Bank Programming Ismail, Ismail; Efendi, Jalisal
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 1 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i1.148

Abstract

The Source Code Bank Programming application that the researchers built uses Borland Delphi which functions to support software learning activities and as a reference for software developers, especially the Delphi programming language. In the process of developing Source Code Bank Programming is still in the prototype stage and further development is still being carried out so that it can be competitively competitive in the world. It is necessary to do various evaluations of the quality of the application in order to match the expectations of the user, one of which is to analyze the quality of the application using the Black-Box Testing method. Testing the Black-Box Source Code Bank Programming uses 3 methods, namely; 1) Graph-based testing, 2) Equivalence Partitioning, and 3) Boundary Value Analysis. The research results show that graph testing, equivalence partitioning, and boundary value analysis will be able to help the process of making test cases and make testing simpler, There are errors in testing and are included in the defect-list, the test results also show that the fulfillment of user needs for public users with a value 0.90, user registers/member with a value of 1.00, students with a value of 0.90, lecturers with a value of 0.82 and admin with a value of 0.84 are classified as good because the degree of value in each user module is greater than 0.8.
Sistem Diagnosis Penyakit Hipokalemia menggunakan Gabungan Metode Forward Chaining dan Certainty Factor Surya, Angga Pratama; Fauziah, Fauziah; Nurhayati, Nurhayati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 2 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i2.180

Abstract

Tampak banyak yang masih belum menyadari jika Hipokalemia dapat menjadi masalah yang fatal pada manusia yang mengakibatkan kelumpuhan hingga menyebabkan kematian. Diketahui bahwa banyak penderita yang terlambat dalam mengenali tanda dari gejala penyakit ini. Untuk mempersingkat proses diagnosasa dari gejala-gejala yang dirasakan oleh penderita dapat dilakukan bantuan kecerdasan buatan yaitu sistem pakar. Pada penelitian saat ini bertujuan untuk mendiagnosa awal penyakit hipokalemia yang didasari oleh gejala-gejala yang dirasakan oleh penderita. Pada penerapan metode sistem pakar dapat dijadikan sebagai solusi alat bantu  dalam mencari kepastian. Pada kesempatan kali ini peneliti menggunakan 2 metode gabungan dalam sistem pakar yaitu Forward Chaining(FC) dan Certainty Factor (CF) untuk mengatasi  ketidakpastian terhadap penyakit hipokalemia. Pada hasil perhitungan dalam penelitian ini mendapatkan hasil diagnosa hipokalemia ringan dengan tingkat kepercayaan sebesar 20%, adapun dengan solusi yang sesuai dengan tingkat penyakit yang diderita.Kata Kunci:Forward Chaining, Diagnosa, Hipokalemia, Certainty Factor, Sistem Pakar.
Rancang Bangun Media Pembelajaran Tenses English Berbasis Android menggunakan Algoritma Fisher-Yates Vebiant, Kiki; Wahyuddin, M Iwan; Komala Sari, Ratih Titi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 4 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i4.246

Abstract

English is a language that is widely used in various countries in the world. This makes english an international language and also must be studied in schools or even universities. In english, the verb used will be different at different times, places, and also events or it can be called a change in the verb (tense). So, learning and mastering tenses in english is the basis for learning or mastering english. This study aims to design and build an Android-based learning media for english tenses. The design applies a form of english tense quiz using the Fisher-Yates algorithm, which is a randomization algorithm that can randomize the order of the quiz questions so that the order of the quiz questions is not always the same and there are no repeated quizzes. The expected results will later become a learning medium for people who want to learn or master english and can understand the tenses in english.Keywords:Android, Fisher-Yates, Tenses, Learning Application.
Aplikasi Manajemen Perkantoran dan Absensi Online Berbasis Android Ardiansyah, Aldi; Fitri, Iskandar; Iskandar, Agus
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 2 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i2.204

Abstract

This research aims to develop a solution application and make work easier during the Covid-19 pandemic, especially in online attendance activities and office management. This study also completes the shortcomings of previous studies, where previous studies used the geotagging feature. The development tools used by researchers use the android studio and the waterfall System Development Life Cycle (SDLC) development method. The result of this research is an application that is connected to the internet in the process of attendance activities. The attendance data is stored in the database along with the photos entered at the time of attendance.Keywords:Android, SDLC, Online Attendance, Management.
Implementasi Sistem Pakar untuk Mendeteksi Virus Covid-19 dengan Perbandingan Metode Naïve Bayes dan Certainty Factor Dzahabi Yunas, Rio Al; Triayudi, Agung; Sholihati, Ira Diana
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 3 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.221

Abstract

The Covid -19 virus spread in the world, especially in Indonesia, very fast. This epidemic is of concern around the world because it has a quite bad impact in various sectors. With existing technological advances, the Expert System can assist medical personnel in detecting the Covid -19 Virus. The purpose of the author in conducting the study was to detect the Covid-19 virus as easily as possible with symptom data obtained from patients who had consultations. The Naïve Bayes method is a method that uses probability and statistics that can predict a person's chance of being exposed to Covid-19 in the future based on symptoms experienced in the previous period packed with a web-based program. For comparison, the author uses the Certainty Factor Method. Certainty Factor is a method that aims to determine the certainty value which is based on the previous calculation of CF value by manual calculation. The Naïve Bayes method can group the symptoms obtained from the official WHO website which has been given an indicator of the percentage of someone exposed to the Covid-19 Virus based on the symptom data experienced to determine a person exposed to the Covid-19 Virus. While the Certainty Factor method gets the confidence of someone exposed to the symptoms of the Covid-19 virus by using the calculation indicator on the CF value that has been consulted by the user, which can provide a percentage level of confidence that is 86%.Keywords:Expert System, Covid-19, Naive Bayes, Certainty Factor.
Rancang Bangun Sistem Pengelolaan Laundry menggunakan Metode Waterfall Syaputra, Abdul Hafiz; Darussalam, Ucuk; Winarsih, Winarsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 1 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i1.198

Abstract

Laundry is one of the businesses engaged in laundry and clothes ironing services that are starting to develop. This laundry business provides kilogram washing services, including washing and drying services, dry cleaning and ironing, washing bed covers, washing thin blankets to thick blankets. Laundry management is done manually and simply so that mistakes often occur due to human errors in recording information and not a few missing records and quite a long recording time. Therefore, in the development of information technology today, one of the efforts to overcome this problem is to create a website-based laundry application. The purpose of this study is to build a website-based laundry application to facilitate businesses in the field of laundry, namely laundry using the programming language PHP, HTML, CSS, JavaScript, and MySQL database as data storage. The system is built in stages using the waterfall method which consists of the stages of analysis, design, implementation, and system testing. The result of this research is a website-based laundry application that can facilitate each employee's job in handling customers as well as customers getting convenience in transactions for using laundry services.Keywords:Information Systems, Laundry, Web, PHP, MySQL.
Perpaduan Metode Certainty Factor dan Forward Chaining untuk Menentukan Tingkat Stres Mahasiswa Tingkat Akhir Berbasis Android Nurholis, Nurholis; Fauziah, Fauziah; Natashia, Novi Dian
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 3 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.218

Abstract

Students who are taking the final semester are students who are completing all their subjects, can take the final project provided they have met the number of credits set to obtain a bachelor's degree. In the process of making a final project, students are required to complete it within a predetermined time, this demand causes students to be depressed, causing stress that affects them in completing their final project and study period. Based on this problem, an Expert System Application was made to Diagnose Stress Levels in Final Year Students by Combining Certainty Factor Methods and Android-Based Forward Chaining Techniques to find out more clearly the level of stress experienced by final year students. The results of the diagnosis on the expert system application and the results of manual calculations on one of the data which is representative of the 200 student data, which produce the same level of confidence, each of which produces a confidence level of 97.97% and was diagnosed with mild stress.Keywords:Android, Certainty Factor, Forward Chaining, Final Year Students, Expert System, Stress.
Text Mining Analysis untuk Identifikasi Artikel Hoax Menggunakan Algoritma Cosine Similarity Lasena, Yulianty; Husdi, Husdi; Hasan, Maryam
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 4, No 2 (2020): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dampak perkembangan teknologi yang signifikan dalam kehidupan sehari-hari dimulai dari kegiatan yang sederhana hingga kegiatan yang membutuhkan tingkat ketelitian yang tinggi. Perkembangan tekhnologi informasi juga turut serta mendorong dalam penyebaran berita. Di Indonesia teknologi informasi ikut berkembang pesat dimana pengguna internet saat ini berjumlah 132,7 juta atau 52% dari jumlah penduduk Indonesia. Pertukaran informasi antar sesama merupakan hal yang positif, namun  penyebarannya melalui media sosial  yang isinya tidak semua fakta.  Dalam beberapa macam kasus yang telah terjadi misalkan penyebaran berita yang bukan  fakta sering disebut hoax. Teknologi terkini yang bisa membantu mengatasi hal tersebut, salah satunya adalah teknologi yang dikenal dengan nama Text Mining (Penambangan Teks). Hal ini dimanfaatkan untuk memecahkan masalah yang di hadapi oleh pengguna internet terhadap informasi palsu (hoax).Kata Kunci:Hoax, Artikel, Cosine Similarity, Text Mining.
Algoritma Artificial Neural Network pada Text-based Chatbot Frequently Asked Question (FAQ) Web Kuliah Universitas Nasional Mustakim, Feri; Fauziah, Fauziah; Hayati, Nur
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 4 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i4.261

Abstract

The technology development increase the number of automation system in indudustry. One of them is Chatbot application in education industry. This automation technology is able to lessen university's service in order to facilitate the students' need of information whenever and wherever they are. Lack of student literacy regarding the functions and use of the web in conducting online lectures causes the same number of questions repeatedly to the university, which are actually frequently asked questions that have been written in a list of frequently asked questions (Faq), such as: assignment submission, forget passwords, lectures online, video conference lectures and lecture web applications on android. Chatbot will automatically answer students' question in university web page by providing information and suggesting a proper answer suit to the question. This research will develop Chatbot type based on text by applying Artificial Neural Network (ANN) algorithm . The applied data set while conducting the Chatbot coaching is  the questions data which frequently being asked (FAQ) in the study web, 25 questions with its answer which is divided into 16 labels or classes. The testing is conducted by using 110 different conversations from the dataset but have the same intention. From those 110 conversation, the Chatbot succed in answering 107 questions precisely and made 3 wrong conversation. The testing result shows a good result by having 97,27% accuracy and 2,72% error.Keywords:Chatbot, Artificial Neural Network, ANN, Text-based.
Sebuah Kerangka Kerja untuk mengembangkan e-Tracer study berbasis Sistem Cerdas Akbar, Rizaldi; Hajriyanti, Rahmi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 4, No 2 (2020): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v4i2.135

Abstract

Tracer studies are a method used by tertiary institutions to track, monitor, and supervise graduates that have been produced by tertiary institutions. These activities can make a performance measurement related to the implementation of education so far. Currently, the tracer study has been developed to become a system that can provide decisions and measure graduates using an intelligent agent (AI). In this study, the authors used a descriptive research method, namely developing an information system based on existing data and developed using PHP software, and the Dynamic System Development Method (DSDM) is a system development method. Researchers have implemented an AI integration framework in a web-based tracer study architecture. System evaluation is used as the next research iteration of the proposed decision support system, this study also aims to monitor graduates. With the existence of an intelligent system-based e-tracer study, it has become an evolution in studying artificial intelligence to support monitoring and as a tool in increasing graduates in Higher Education.Keywords:Systems Framework, Tracer study, Intelligent Systems, Web

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