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INDONESIA
Journal of Applied Computer Science and Technology (JACOST)
Published by Indonesian Society of Applied Science
ISSN : -     EISSN : 27231453     DOI : https://doi.org/10.52158/jacost
Core Subject : Science,
Computer Science & IT
Fokus dan Ruang Lingkup Journal of Applied Computer Science and Technology (JACOST) dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian bidang ilmu komputer dan teknologi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Ilmu Komputer dan Teknologi. Journal of Applied Computer Science and Technology (JACOST) menerima artikel ilmiah dengan lingkup penelitian pada: Rekayasa Perangkat Lunak Rekayasa Perangkat Keras Keamanan Informasi Rekayasa Sistem Sistem Pakar Sistem Penunjang Keputusan Data Mining Sistem Kecerdasan Buatan Jaringan Komputer Teknik Komputer Pengolahan Citra Algoritma Genetik Sistem Informasi Business Intelligence and Knowledge Management Database System Big Data Internet of Things Enterprise Computing Machine Learning Topik kajian lainnya yang relevan
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 10 Documents
 1 
Search results for , issue "Vol 4 No 2 (2023): Desember 2023" : 10 Documents clear
Pengembangan Sistem Smart Village Berbasis Internet of Things untuk Meningkatkan Kualitas Hidup di Desa Harun Sujadi; Nunu Nurdiana; Reyna Indra Maulana
Journal of Applied Computer Science and Technology Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v4i2.474

Abstract

Internet users in Indonesia reached 55% or more than half of Indonesia's population, while the tools used to access the internet are dominated by smartphones, as much as 60%. These make the internet and smartphones one of the technologies that can be used further. Internet of Things is one of the technological developments in the internet field that can be used in building smart villages. A smart village is an innovative village that seeks to improve its citizens' quality of life, efficiency, and competitiveness by utilizing information and communication technology (ICT). Simdesapp is an intelligent village application that was built to display information obtained from the previously built smartpole hardware—using the Extreme Programming method as a system development method through several stages such as planning, design, coding and testing. The features contained in the software are monitoring temperature, humidity, air quality, panic buttons for emergencies, and early warnings for disasters such as land fires and earthquakes. In contrast, other features in the software are the history of each resident's illness, schedule Posyandu, patrol schedules, profiles of each resident, and village website containing profiles and village potentials.
Pengembangan Aplikasi Kamus Bahasa Melayu Dialek Ketapang dengan Implementasi Algoritma Binary Search Atimi, Rizqia Lestika; Orama, Rizky; Ruhibnur, Refid
Journal of Applied Computer Science and Technology Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v4i2.483

Abstract

As a country that is rich in ethnic, cultural and linguistic diversity, Indonesia has 668 vernacular languages, one of them is Malay. West Kalimantan is one of the regions in Indonesia where majority of the population is Malay. The population used Malay language with a variety of dialects distinctive regional. The Ketapang Malay dialect is used in Ketapang Regency. Vernacular languages which are inherited from the ancestors should be preserved as an effort to maintain their function and position as ethnic identity, personality, as well as a means to show the variety of regional culture. Unfortunately, along with the times and influx of foreign cultural influences to Indonesia as an impact of globalization, many words of Malay Ketapang dialect underwent changes, developments and displacements, moreover leading to extinction. This research developed an Android-based application of Ketapang Malay Dictionary (KBMK) with the implementation of the binary search algorithm. Application was developed using following method, data collecting, application development, application testing, and system evaluation. Blackbox testing shows that the binary search algorithm is able to search the keyword correctly. Furthermore, the KBMK application was tested using a usability evaluation, evaluation obtained an average score of 4.48 indicating that the application is useful and effective in conducting searches, and providing user satisfaction.
Arsitektur Convolutional Neural Network untuk Model Klasifikasi Citra Batik Yogyakarta Arya Prayoga; Maimunah; Pristi Sukmasetya; Muhammad Resa Arif Yudianto; Rofi Abul Hasani
Journal of Applied Computer Science and Technology Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v4i2.486

Abstract

Batik is an Indonesian culture that has been recognized as a world heritage by UNESCO. Indonesian batik has a variety of different motifs in each region. One area that is famous for its batik motifs is Yogyakarta. Yogyakarta has a variety of batik motifs such as ceplok, kawung, and parang which can be differentiated based on the pattern. Yogyakarta batik motifs need to be preserved so they do not experience extinction, one way is by introducing Yogyakarta batik motifs. The recognition of Yogyakarta batik motifs can utilize technology to classify images of Yogyakarta batik motifs based on patterns using the Convolutional Neural Network (CNN). The Yogyakarta batik motif images used for classification totaled 600 images consisting of 3 different motifs such as ceplok, kawung, and parang. Image classification using CNN depends on the architectural model used. The CNN architecture consists of two stages, namely Convolutional for feature extraction and Neural Network for classification. The CNN architectural models made for the introduction of Yogyakarta batik motifs totaled 7 models which were distinguished at the feature extraction stage. The highest accuracy results in the classification of Yogyakarta batik motif images using CNN were obtained in the 6th model. The 6th model has an accuracy of 87.83%, an average precision of 88.46% and an average recall of 87.66%. The accuracy, precision, and recall values ​​obtained by the 6th model are above 80%, which means that the 6th model can classify Yogyakarta batik motifs quite well.
Implementasi Re-design UI/UX Website Fumigasi Untuk Meningkatkan Customer Experience Faisal Maulana Akbar; Ayouvi Poerna Wardhanie2; Tan Amelia
Journal of Applied Computer Science and Technology Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v4i2.488

Abstract

Fumigation website is a website owned by PT. Prana Argentum which is used as a platform for disseminating information related to pest control. However, based on interviews with company owners, there are some drawbacks such as the appearance of the website is not very user friendly, the information provided is difficult to find. This is also supported by the results of the UEQ pre-survey of website users, where the results of the 6 UEQ scale get the "bad" criterion, which means the low usability value of the website. This study aims to determine the suitability of the company's website in improving customer experience. To overcome the display problems on the website, a solution is needed, namely redesigning the UI/UX design using the double diamond methodology and usability testing along with UEQ. The result of this research is a redesign of the UI/UX design by adding new features such as a price quote feature, an appointment feature, and a transaction feature. To improve the customer experience, researchers also pay attention to the use of colors, fonts, language styles, to user-friendly navigation flows. In this study, two types of tests were carried out, namely usability testing with the Maze tools and UEQ testing. The usability testing results obtained a usability score of 87 which can be said to be good in terms of its usability value. Based on the results of the UEQ test, it is known that there is an increase in the mean value on all UEQ scales. It is proved that the highest mean value is on the perspicuity scale of 2.09 points and the lowest value is on the novelty scale with a value of 1.53 points. the results of the UI/UX website design of PT. Prana Argentum Corporation is classified as good, proper, and acceptable to users.
SLR Systematic Literature Review: Metode Penilaian Kinerja Karyawan Menggunakan Human Performance Technology Roni Habibi; Artha Glory Romey Manurung
Journal of Applied Computer Science and Technology Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v4i2.511

Abstract

Performance appraisal is an activity conducted by groups or individuals in a company with the aim of evaluating employee performance based on specific indicators. The purpose of this evaluation is to determine the level of employee performance, provide fair job opportunities, and enhance employee motivation and performance. The objective of this research is to review the literature that employs the Systematic Literature Review (SLR) method, while considering several aspects such as previous research on employee performance appraisal and human performance technology. Initially, the search was limited to 450 journals. Then, a review and further screening were conducted, resulting in 161 remaining journals using inclusion and exclusion criteria, yielding 17 journals that met the requirements. This research was conducted over several years to assess employee performance. Therefore, this systematic literature review is carried out to identify the methods used for employee performance appraisal and mentions that optimization algorithms and fuzzy comprehensive methods are used as evaluation methods to assess performance appraisal methods.
Penerapan Metode Economic Order Quantity dan Reorder Point Pada Aplikasi Pengelolaan Persediaan Fumigasi Farel Faleri; Pantjawati Sudarmaningtyas; Valentinus Roby Hananto
Journal of Applied Computer Science and Technology Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v4i2.532

Abstract

Fumigation controls pests by sealing a room using methyl bromide (CH3Br) and oxygen gas. This process requires a gas mask, fumigation plastics, sand snakes, and a certificate. The interview revealed that specific supply shortages cause fumigation delays in 15% of monthly orders. This research aims to develop an inventory control application by applying the economic order quantity (EOQ) and reorder point (ROP) methods to overcome the problem of running out of stock. The EOQ method determines the amount of inventory to order to avoid excess stock, while ROP determines the right time to order inventory. The study involved two types of testing: white box testing and comparing manual calculations with application calculations to determine their consistency using data from March to May. The white box testing results show that the program's internal structure and logic run well. This is supported by evidence that each test case can pass two flow graphs resulting from cyclomatic complexity calculations. In addition, the results of testing the EOQ and ROP method calculations show an insignificant difference between the results of manual calculations and application calculations of 3.87%. This proves that application calculations for EOQ and ROP are running correctly and by the researchers' expectations.
Rancang Bangun Sistem Informasi Audit Mutu Internal Norfifah; Veri Julianto Julianto; Yunita Prastyaningsih
Journal of Applied Computer Science and Technology Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v4i2.539

Abstract

Internal quality audits are conducted within the internal quality assurance system (SPMI) of higher education institutions to ensure compliance with SPMI standards and enhance a quality culture. Constraints in implementing internal quality audits include limitations in human resources, time, and costs, as well as the complexity of audit stages and documentation of audit findings. To address these challenges, a website-based information system has been designed using the waterfall method and the Unified Modeling Language (UML) approach, utilizing the PHP framework CodeIgniter and a MySQL database. The system aims to digitize and automate the implementation of internal quality audits to enhance effectiveness and efficiency. Additionally, it facilitates the management and storage of internal quality audit documents. For testing purposes, black-box testing is employed, consisting of 10 different test types. The testing results indicate a 90% success rate, while 10% of the data did not succeed due to the limitation of inputting text HTML.
SmartAgro-Spectral: Teknik Pengukuran Kandungan Nitrit Pada Sarang Burung Walet Berbasis Spektral Menggunakan Metode Regresi Linier Rida Hudaya; Hepi Ludiyati; Feni Isdaryani; Muhamad Rafhi Rihadatus Syawal; Julian Harith Al Banny Hudaya
Journal of Applied Computer Science and Technology Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v4i2.544

Abstract

Indonesia is the largest exporter of edible bird’s nest (EBN) to China, involving many EBN farmers from various regions in Indonesia. Therefore, a portable device is needed to rapidly and accurately measure the required quality of SBW to avoid rejection by Chinese buyers, which could result in significant losses. Consequently, for this purpose, an electronic instrument has been developed. smartAgro-Spectral is a microcontroller-based electronic instrument that measures nitrite content in edible bird’s nest (EBN) using linear regression method in machine learning calculations. This instrument can measure nitrite content based on the intensity of colors produced by EBN products. The coloring process is carried out by mixing EBW powder with Sulphanilamide solution and N-(1-naphthyl) Ethylenediamine Dihydrochloride (NED) solution. The concentration of EBN solution is normalized to values between 0.2 ppm and 0.7 ppm. The measurement process is carried out by emitting 18 waves of the light spectrum. The intensity of the 18 wavelengths of the measured light spectrum was selected based on the strong correlation between the intensity of the light spectrum and the value of nitrite content in the EBN product. The measurement results show that the intensity of the light spectrum that has a strong linear correlation is at wavelengths of 460 nm, 485 nm, 510 nm, 535 nm, and 610 nm. So, smartAgro-Spectral electronic instruments can be realized based on the intensity relationship of each wavelength through multiple linear regression analysis, and are able to linearly measure nitrite content in EBW products with a precision level of 99.85% and an accuracy rate of 99.85%.
Penentuan Jalur Diagnostik Penyakit Berbasis Konsep Pembelajaran Mesin: Studi kasus Penyakit Hepatitis C Jimmy Tjen; Valentino Pratama
Journal of Applied Computer Science and Technology Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v4i2.556

Abstract

Hepatitis is considered to be one of the most dangerous diseases, which often leads to death if not handled properly. Thus, early detection via precise diagnosis is needed in order to prevent the unfortunate event. This research aims to provide a novel hepatitis C diagnosis based on the machine learning algorithm, which is the classification tree from the decision tree learning and the distance correlation, which measures the Euclidean distance between 2 vectors. In particular, the goal is to develop a low computational cost yet precise algorithm for diagnosing the possibility of whether a person is being infected with Hepatitis C or not. Based on the experiment, the distance correlation-based classification tree algorithm outperforms the classical classification tree algorithm by around 3% while using only 7 features instead of 12 as in the classical algorithm. Furthermore, the algorithm identified albumin (ALB), Creatinine (CREA), Bilirubin (BIL), Aspartate Transaminase (AST) and Cholesterol (CHOL) as significant risk factors in determining whether someone is potentially infected with hepatitis C or not, with Creatinine is identified as the most important parameter among all 5 parameters mentioned above.
Implementasi Model TAM pada Sistem Informasi Presensi Online Menggunakan Face Recognition dan GPS Yusuf Wahyu Setiya Putra
Journal of Applied Computer Science and Technology Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v4i2.577

Abstract

This study aims to analyze system user acceptance of online attendance information systems with face recognition and GPS using the variables Perceived Ease of Use, Perceived Usefulness and Attitude toward Using contained in the TAM model. (Technology Acceptance Model). Respondents used as many as 45 people consist of teachers, teaching staff and students. Questionnaires were used to obtain data that had been tested for validity and reliability which were then analyzed using multiple linear regression techniques. The results of the analysis of the 1st regression equation show that the variable Perceived Usefullness (X1) has a significant influence on the variable Attitude toward Using (Y) with a t count of 4.114 with a significance of p = 0.000 (<0.05). The variable Perceived Ease of Use (X2) has a significant effect on the variable Attitude Toward Using (Y) with t count 2.898 with a significant p = 0.010 (<0.05). The results of the analysis of the second regression equation show that the variables X1 and X2 together have a significant effect on Attitude toward Using (Y) because the statistical value F count = 23.556 with a significance p = 0.000 (<0.05).

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