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JITK (Jurnal Ilmu Pengetahuan dan Komputer)
Published by STMIK Nusa Mandiri
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Core Subject : Science,
Kegiatan menonton film merupakan salah satu cara sederhana untuk menghibur diri dari rasa gundah gulana ataupun melepas rasa lelah setelah melakukan aktivitas sehari-hari. Akan tetapi, karena berbagai alasan terkadang seseorang tidak ada waktu untuk menonton film di bioskop. Dengan bantuan media internet, berbagai macam aplikasi nonton film android sangat mudah dicari. Hanya bermodalkan smartphone saja para penonton film dapat streaming berbagai macam jenis film di mana saja dan kapan saja mereka inginkan. Akan tetapi, karena banyaknya pilihan aplikasi nonton film android yang bisa digunakan, terkadang seseorang bingung memilihnya. Untuk itu, diperlukan suatu sistem pendukung keputusan yang dapat digunakan para pengguna sebagai alat bantu pengambilan keputusan untuk memilih dengan berbagai macam kriteria yang ada. Salah satu metode yang digunakan adalah metode Analytical Hierarchy Process (AHP). AHP melakukan perankingan dengan melalui penjumlahan antara vector bobot dengan matrik keputusan dengan tujuan agar hasil yang diberikan lebih baik dalam menentukan alternatif yang akan dipilih. Berdasarkan hasil penelitian yang dilakukan oleh 36 sampel responden didapatkan kriteria konten menjadi prioritas pertama pengguna untuk memilih aplikasi nonton film android dengan nilai bobot sebesar 0,224. Sedangkan Netflix menjadi alternatif dengan prioritas pertama keputusan pengguna dalam memilih aplikasi nonton film android dengan nilai bobot sebesar 0,352.
Articles 394 Documents
COMPARATIVE ANALYSIS OF SOFTWARE EFFORT ESTIMATION USING DATA MINING TECHNIQUE AND FEATURE SELECTION Abdul Latif; Lady Agustin Fitriana; Muhammad Rifqi Firdaus
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 6 No 2 (2021): JITK Issue February 2021
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1270.41 KB) | DOI: 10.33480/jitk.v6i2.1968

Abstract

Software development involves several interrelated factors that influence development efforts and productivity. Improving the estimation techniques available to project managers will facilitate more effective time and budget control in software development. Software Effort Estimation or software cost/effort estimation can help a software development company to overcome difficulties experienced in estimating software development efforts. This study aims to compare the Machine Learning method of Linear Regression (LR), Multilayer Perceptron (MLP), Radial Basis Function (RBF), and Decision Tree Random Forest (DTRF) to calculate estimated cost/effort software. Then these five approaches will be tested on a dataset of software development projects as many as 10 dataset projects. So that it can produce new knowledge about what machine learning and non-machine learning methods are the most accurate for estimating software business. As well as knowing between the selection between using Particle Swarm Optimization (PSO) for attributes selection and without PSO, which one can increase the accuracy for software business estimation. The data mining algorithm used to calculate the most optimal software effort estimate is the Linear Regression algorithm with an average RMSE value of 1603,024 for the 10 datasets tested. Then using the PSO feature selection can increase the accuracy or reduce the RMSE average value to 1552,999. The result indicates that, compared with the original regression linear model, the accuracy or error rate of software effort estimation has increased by 3.12% by applying PSO feature selection
THE EFFECT OF STUDENT BEHAVIOR ON THE USE OF CAMPUS JOURNALS BY ADOPTING THE TAM METHOD Asrul Sani; Agusta Pratama Wibawa; Nur Nawaningtyas Pusparini; Adrial Rusyid; Anton Hindardjo
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 6 No 2 (2021): JITK Issue February 2021
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1233.925 KB) | DOI: 10.33480/jitk.v6i2.1969

Abstract

This research is a quantitative study using statistical analysis based on SEM-PLS in the analysis process. The data collection technique used random sampling where the respondents filled out a questionnaire simultaneously by conducting a structured interview. The number of respondents generated was 203 students from various universities who used website-based campus journals. The Technology Acceptance Model (TAM) is a reference in the model used, on the grounds that TAM is one of the technology acceptance models that are widely adopted in research based on acceptance technology, in this case, the use of website-based campus journals. Initial data processing, coding is carried out adjusted to the data obtained using SPSS, then processing the data using SmartPLS 3.0. The results obtained based on the analysis of measurement models and structural models are that student behavior in using journals gives positive results on the scientific development that they want to obtain from the journal. This is shown from the measurement model testing which shows all indicators accompanying the variables, giving positive results based on convergent validity, discriminative validity, and reliability of the model used. Meanwhile, the structural model testing is calculated based on the path coefficient, determination, predictive relevance, and t-test. The number of path analyses obtained is four, wherefrom the results of data processing, all paths produce significant path coefficients, strong model determination, all pathways produce good predictive relevance, and t-test results for all variables that are interconnected based on pathways. which is formed is acceptable. These results prove that the behavioral effect of using campus journals by adopting TAM as the model used produces positive results
THE DEPLOYMENT OF REVENUE CYCLE ACCOUNTING INFORMATION SYSTEM IN THE SERVICE BUSINESSES OWNED BY THE REGIONAL GOVERNMENT OF WEST NUSA TENGGARA PROVINCE Rafa Karimah; Izzari Amperaningrum; Ninuk Wiliani
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 6 No 2 (2021): JITK Issue February 2021
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1500.452 KB) | DOI: 10.33480/jitk.v6i2.1971

Abstract

Based on Law Number 25/2009 on Public Services, the West Nusa Tenggara Government established Wisma NTB. However, the lack of interest from the government to stay at Wisma NTB while they are in Jakarta is the main cause of the inability of the NTB Liaison Agency to reach its local revenue target. In connection with the reason and the latest technological development, information systems are urgently needed by the agency to assist its operational and decision-making activities. This study aims to determine the current income cycle provided at Wisma NTB, to evaluate the effectiveness and efficiency of the ongoing cycle, and to determine whether or not to develop the available system. The research methods used for data compilation consisted of field observations, interviews, and literature studies. The system development method used is Extreme Programming (XP), software development procedures launched through practical principles and techniques. Meanwhile, the internal control evaluation applies COSO. The results reveal the prevailing control system has been proper and in line with prevailing environmental control and monitoring standards. However, weaknesses can be found in control, risk assessment, information, and communication activities. The elements are related to technology because the current income cycle worked less than optimal. Thus, it is necessary to develop the system. The developments include the provision of a room reservation system, a payment gateway system, and a system for recording online transactions so such transactions can be accessed anytime, anywhere.
ANALYSIS OF SHOE ORDERING PATTERN AT PT. PRATAMA ABADI INDUSTRI USING THE APRIORI ALGORITHM Retno Wati; Imron Imron; Albert Riyandi
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 6 No 2 (2021): JITK Issue February 2021
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1206.952 KB) | DOI: 10.33480/jitk.v6i2.2118

Abstract

Inventory is one of the most important factors in ensuring the continuity of the production process. PT. Pratama Abadi Industri is an industrial company in the field of shoe sales. In its activities, PT. Pratama Abadi Industri was unable to provide production materials appropriately, causing a shortage of shoe material stock for the production of the type of shoe that the customer is most interested in. The method used in this research is to use the a priori Algorithm and to get accurate results, this research uses the Tanagra 1.4.50 software. The purpose of this study was to analyze the ordering of NIKE shoes that are often ordered by customers by looking at their previous order patterns. This a priori algorithm can produce 7 final association rules between items with a minimum value of 30% of support and a minimum of 70% of confidence and from May 2020 to October 2020 it is known that the most popular order pattern for NIKE shoes is NIKE shoes with the Tailwind (100%), Revolution 5 (100%), Air Max Plus (100%) and Classic Cortez Leather (100%) which can be used as reference materials in determining the next production material inventory.
DECISION SUPPORT SYSTEM FEASIBILITY OF GRANTING RECEIVABLES ON GOODS EXPORT SERVICES IN FREIGHT FORWARDING COMPANY WITH PROFILE MATCHING METHOD sebastian, Ivan; Jumaryadi, Yuwan; Kusumawardani, Ratna; Setiawan, Bayu
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 7 No 1 (2021): JITK Issue August 2021
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1202.443 KB) | DOI: 10.33480/jitk.v7i1.1644

Abstract

Decision Support System (DSS) is a system that is able to provide problem solving skills in both semi-structured and unstructured ways. The company's role in the import-export business is very important because it can meet the needs of people who have been doing business in the trade sector, both domestic trade and international trade. Indonesia as a country with a high volume of international trade requires a transportation service company that can support goods export activities by providing payment facilities with a certain time period. The problem that occurs is that there are customers who experience congestion in payment of receivables. This is because there is no standardized procedure in determining the granting of receivables so that it is difficult to determine the feasibility of granting receivables to customers. Therefore, researchers will conduct research on a decision support system with the profile matching method to determine the feasibility of granting receivables to goods export services by applying the 5C principle so that decision makers do not use intuition again and have methods or standardized procedures in providing receivables to customers. This research is expected to help determine the feasibility of receivables by applying the 5C principle, it is hoped that it can help decision makers in making decisions about giving credit to customers.
PROTOTYPE OF MOBILE EDUCATION TECHNOLOGY WITH MULTIMEDIA FOR AUTISTS CARE PROGRAM Samosir, Ridha Sefina; Syahrani, Erwin; Lumba, Ester; Kusumawati, Dyah
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 7 No 1 (2021): JITK Issue August 2021
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1241.56 KB) | DOI: 10.33480/jitk.v7i1.1699

Abstract

Autism is a neurobiological development disorder in children. This disorder causes difficulties for children to communicate and establish relationships with the environment. The impact, they cannot properly interact with other people or their surroundings, because of their inability to understand what other people mean. Parents or families who have family members with autism need the convenience and wide openness of information regarding education paths, pathways of care and treatment, lines of work, pathways of therapy, and other path information. Includes information about autism such as symptoms, characteristics of autism, and how to deal with tantrums. All information needed by all these parties should be easily accessible. This study proposes an educational technology that contains information needed by patients and their families. This educational technology is mobile-based and equipped with multimedia features so that educational materials are easier to understand. The method used for system development is prototyping. The output of this research is a prototype design of mobile-based educational technology with additional multimedia features.
THE IMPLEMENTATION OF NAÏVE BAYES AND SUPPORT VECTOR MACHINE (SVM) ALGORITHM , IN DETERMINING ACHIEVING STUDENTS IN SMP NEGERI 8 CIMAHI Adhitiawarman, Adhitiawarman; Hartanto, Dwi; Sudradjat, Adjat; Sari, Retno
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 7 No 1 (2021): JITK Issue August 2021
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1202.768 KB) | DOI: 10.33480/jitk.v7i1.2001

Abstract

Classification is a technique in data mining to classify data based on data attachment to sample data. In this study, we conducted a comparison of classification techniques to classify students who excel in the dataset of SMP Negeri 8 CIMAHI. Comparison of classification techniques is carried out to see which models in the classification technique are most effective for classifying targets in the dataset of SMP Negeri 8 CIMAHI. The classification technique used is the Support Vector Machine and Naïve Bayes. The classification process begins with preprocessing data to remove missing values ​​and select features in the dataset. After testing, it was found that the accurate classification results were obtained by the Support Vector Machine model with an accuracy value of 93%. Whereas for the Naïve Bayes model the accuracy results are 88%. for this case the Support Vector Machine was chosen as the model that has the best accuracy and the resulting visualization results are clearer to classify outstanding students in the dataset of SMP Negeri 8 CIMAHI.
ADDITIVE RATIO ASSESSMENT ALGORITHM ON DECISION SUPPORT SYSTEM FOR SELECTING THE BEST SMA AND SMK Satria, Budy; Iqbal, Muhammad; Radillah, Teuku
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 7 No 1 (2021): JITK Issue August 2021
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1282.25 KB) | DOI: 10.33480/jitk.v7i1.2217

Abstract

Determination of the best SMA and SMK through the Education Office Technical Implementation Unit (UPTD) of Pinggir Subdistrict, Bengkalis Regency, needs to be done to provide information to parents, especially students who want to continue their schooling to SMA and SMK level in order to know the ranking of destination schools and be able to make choices. The assessment is still done manually and has not used the right ranking method to determine the best school at the SMA and SMK level, especially in Pinggir District, Bengkalis Regency so that the assessment system is still not on target so that there is difficulty in the process of selecting the best SMA and SMK in the Pinggir Education UPTD. Bengkalis Regency to be right on target. The purpose of this study is to provide convenience in the process of selecting the best SMA and SMK with a decision support system using 7 criteria, namely school facilities, accreditation status, graduates, student achievement, location, human resources and extracurricular activities. The method used in this research is to use the Additive Ratio Assessment (ARAS). There are 8 schools that serve as alternative data, namely SMAN 1, SMAN 2, SMAN 3, SMAN 4, SMAN 5, SMAN 6, SMKN 1 and SMKN 2. The results obtained are that there are 4 recommended schools, namely SMKN 2 = 0.14286 , SMAN 2 = 0.11429, SMAN 3 = 0.1149 and SMAN 6 = 0.11429. So that the results of this research can help in determining the best school.
IMPLEMENTATION OF PROGRESSIVE WEB APPS-BASED CLICK PROFILE ON SOCIAL MEDIA Amin, Ruhul; Jodi, Setiawan
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 7 No 1 (2021): JITK Issue August 2021
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1186.712 KB) | DOI: 10.33480/jitk.v7i1.2354

Abstract

Instagram as one of the social media that has active users with a high number of users is an example of the use of social media as promotional media. However, limitations on Instagram by not allowing placing a "Link" to a post cause limitations in promoting products or services. Instagram is a native app-based application found in app stores such as the Google Play Store and Apple's App Store that requires memory on a smartphone to be installed. Based on these problems the author has a desire to create an application that can be used as a medium of sharing and promotion for various types of content that can be channeled through images that are categorized into images and videos, each uploaded image can be embedded with certain "Links" using Progressive Web Apps Technology ( PWA). The goal of implementing Progress Web Application is to design and build a system that can share content with other users. The result of the implementation of PWA is to increase the number of visitors (visitors) an average of two times on content published on the website when compared to conditions before using PWA technology.
OPTIMIZING COURSE SCHEDULING FACULTY OF ENGINEERING UNSOED USING GENETIC ALGORITHMS Nugroho, Arief Kelik; Permadi, Ipung; Yasifa, Ana Romadhona
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 7 No 2 (2022): JITK Issue February 2022
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1200.002 KB) | DOI: 10.33480/jitk.v7i2.2262

Abstract

In carrying out an activity regularly and smoothly, it is necessary to make an activity schedule that can manage the time of one activity with another so that unwanted things do not happen such as the same time, the same place, and others. Making a schedule of activities is quite easy to do if there are not too many entities involved and if the entities are not tied to each other, but for larger cases, creating a schedule of activities manually will take quite a lot of time and can result in errors in the schedule or shortages. effectiveness in the resulting schedule. This is commonly experienced in making course schedules at universities because there are a lot of course data and lecturers can teach several courses at once and at different times, therefore in making course schedules can be done by applying genetic algorithms so that the time required needed in making the course schedule shorter and the results obtained can be more optimal than the results of making the course schedule manually. In this study, the optimal course schedule was obtained in the 31st generation using data on rooms, courses, study time, lecturers, and departments so that one chromosome has 154 gen, then the population length is made up to 9 individuals or chromosomes, the mutation rate is set at 0.1, and the method used in the individual selection stage is the tournament selection method where the tournament size is set at 3. The fitness value is taken so that a schedule is said to be optimal, i.e. if the fitness value is equal to 1 because then it shows that there are no errors or problems (such as time, lecturers, conflicting rooms) that occur in the schedule.