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SINTECH (Science and Information Technology) Journal
Published by STMIK STIKOM Indonesia
ISSN : 25987305     EISSN : 25989642     DOI : -
Core Subject : Science,
Computer Science & IT
SINTECH (Science and Information Technology) Journal merupakan jurnal yang dikelola dan diterbitkan oleh Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK STIKOM Indonesia, dengan e-ISSN 2598-9642 dan p-ISSN: 2598-7305. SINTECH Journal diterbitkan pertama kali pada bulan April 2018 dan memiliki periode penerbitan sebanyak dua kali dalam setahun, yaitu pada bulan April dan Oktober. Bidang keilmuan dari SINTECH Journal mencakup bidang ilmu : Data analysis, Natural Language Processing, Artificial Intelligence, Neural Networks, Pattern Recognition, Image Processing, Genetic Algorithm, Bioinformatics/Biomedical Applications, Biometrical Application, Content-Based Multimedia Retrievals, Augmented Reality, Virtual Reality, Information System, Game Mobile, dan IT Bussiness Incubation.
Arjuna Subject : -
Articles 166 Documents
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PERANCANGAN SISTEM INFORMASI PEMBAYARAN SERVIS ELEKTRONIK TOKO MS COMPUTER MENGGUNAKAN JAVA DAN MYSQL Harry Dhika; Merita Ayu Sri Maharani; Atikah Atikah
SINTECH (Science and Information Technology) Journal Vol. 4 No. 1 (2021): SINTECH Journal Edition April 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i1.703

Abstract

The problems in the MS Computer Store are the difficulty of officers in data collection of incoming goods, service payment transaction data and the absence of an information system related to customer service data collection. With this problem, an information system is needed to make it easier for officers in the process of data collection which will be stored safely in the database and printing of reports that will be submitted to the Manager of MS Computer. The purpose of this research is to design an electronic service payment application system which is expected to make it easier to process data and transactions properly and quickly. The system is designed using the Research and Development Method because it is more precise. Where in building this system used System Design tools, namely Data Flow Diagrams (DAD), Context, Zero and Detailed and using the Java programming language with Netbeans and MYSQL Database using Xampp. The results of research that has been carried out at the MS Computer Store, with the existence of an electronic service payment application system replacing the old system, the current employee performance becomes more effective and efficient. Admin does not need to input service data or electronic service payments manually, because this application system provides service data entry forms and payment data.
ALGORITMA GENERATE AND TEST UNTUK OPTIMALISASI MASALAH RUTE PERJALANAN Khairunnisak Khairunnisak; Dina Fajar Sulistiyani; Zezya Ramadhany
SINTECH (Science and Information Technology) Journal Vol. 4 No. 2 (2021): SINTECH Journal Edition Oktober 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i2.719

Abstract

The common of urban city problem is a traffic jam, and it is heavily affect the public transportation service quality. Many cities in tropical countries suffer of heavy traffic jam due to the populaition of motorbike. According to Central Java Province Government, in 2014 the population of motorcycle is 439.418 units with the ownership ratio at 0.75 unit/person. Solo is one of typical middle size city in Central Java, Indonesia. Solo suffers from traffic jam in particular time of the day and it affect the quality of service of batik solo as the mass transportation service in Surakarta. This research would like to help the community get the optimal travel route with the fastest time, especially at the busiest times. The method used is Generate and Test algorithm. This method is a combination of Depth First Search and Backtracking. This research is conducted to get information about the influence of traffic volume, service road level and traffic jam level toward the time needed for Batik Solo Trans to find the optimal route. There is a route that been selected to be the most optimal route by considering the factors that influence it and the algorithm applied
IMPLEMENTASI AHP-TOPSIS DAN NAÏVE BAYES DALAM SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN BIMBINGAN KONSELING SISWA Anak Agung Sandatya Widhiyanti; I Made Candiasa; Kadek Yota Ernanda Aryanto
SINTECH (Science and Information Technology) Journal Vol. 4 No. 2 (2021): SINTECH Journal Edition Oktober 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i2.731

Abstract

Student development cannot be separated from the influence of the surrounding environment, be it physical, psychological, and social. The inherent nature of the environment is change, if change is difficult to predict, it will create behavioral gaps from students. For example, problems that are often experienced by students are difficulties in increasing grades so that the scores are relatively low, the level of class attendance is minimal, the learning environment in the classroom whether it supports students to be able to participate in learning activities or not, violations of school rules, and so on. The purpose of this study is to help provide decision recommendations for students who will be given priority in counseling guidance and counseling services. The method used for calculations on the SPK is a combination of AHP-TOPSIS and Naïve Bayes Classifier. AHP is used to find the weight value of each criterion, TOPSIS is used in the ranking process while Naïve Bayes is used to determine counseling services. The results of this study are in the form of a decision support system, which can facilitate the decision-making process, and can provide recommendations for students who are prioritized for counseling and counseling services
RANCANG BANGUN MODEL DATA UNTUK MANAJEMEN DOKUMEN SISTEM PENJAMINAN MUTU INTERNAL: STUDI KASUS: STMIK KHARISMA MAKASSAR Mohammad Sofyan S Thayf; Arianti Arianti
SINTECH (Science and Information Technology) Journal Vol. 4 No. 2 (2021): SINTECH Journal Edition Oktober 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i2.734

Abstract

To achieve the objectives of the Internal Quality Assurance System, the Quality Standard document must be socialized to each work unit, and the existence of information technology will greatly assist in the distribution and socialization of these documents. This study aims to design and build a data model for storage and management of SPMI documents, especially Standard documents, which are generally in the form of files in print or digital format with a complete structure as a collection of text. With the data model designed, the Standard document is stored in a divided state into a number of entities that represent sub-sections of the document and are structured. This research produces a data model design with a relational system, so that it will produce optimal performance when create, retrieve, update and delete operations are carried out on Standard Documents, and still produce complete information about standard documents, as well as one aspect or context. in Standard documents and their linkages, through application programs and information systems. Testing was carried out by the black-box method of the SPMI document information system prototype which indicated that the data model was successfully implemented and worked well in its application.
PERANCANGAN SISTEM MONITORING DAN KONTROLING POMPA AIR BERBASIS ANDROID Yan Mitha Djaksana; Kelvin Gunawan
SINTECH (Science and Information Technology) Journal Vol. 4 No. 2 (2021): SINTECH Journal Edition Oktober 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i2.741

Abstract

Water is a necessity that is so important for every creature in the world, and the estimate of water must always be available or it is in homes, offices, public places or industry. This causes the water storage tank to play an important role in ensuring the availability of air is always there and under control. In this research, it is based on an Android-based Water Pump Monitoring and Control system with the support of IoT (Internet of Things) technology so that it makes it easier for users to monitor the amount of water in the storage tank and control the water pump to fill water into the tank, the system built is supported by the NodeMCU module. esp8266, Relay and Ultrasonic Sensor and connected to the Blynk application which functions as an application interface in monitoring and controlling the water pump. If the air has determined the specified distance, a notification will appear to immediately turn off the water pump, thus it is hoped that this system can help users see the condition of the water pump and water tank even though they are not at home
PERBANDINGAN KERNEL SUPPORT VECTOR MACHINE (SVM) DALAM PENERAPAN ANALISIS SENTIMEN VAKSINISASI COVID-19 Thalita Meisya Permata Aulia; Nur Arifin; Rini Mayasari
SINTECH (Science and Information Technology) Journal Vol. 4 No. 2 (2021): SINTECH Journal Edition Oktober 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i2.762

Abstract

In early 2020, the first recorded death from the COVID-19 virus in China [3]. Followed by WHO which later stated that the COVID-19 virus caused a pandemic. Various efforts were made to minimize the transmission of COVID-19, such as physical distancing and large-scale social circulation. However, this resulted in a paralyzed economy, many factories or business shops closed, eliminating the livelihoods of many people. Vaccines may be a solution, various International Research Communities have conducted research on the COVID-19 vaccine. In early 2021 the Sinovac vaccine from China arrived in Indonesia and was declared a BPOM clinical trial, but the existence of the vaccine still raises pros and cons, some have responded well and others have not. For this reason, a sentiment analysis of the COVID-19 vaccine will be carried out by taking data from Twitter, then classified using the Support Vector Machine algorithm. The research data is nonlinear data so it requires a kernel space for the text mining process, while there has been no specific research regarding which kernel is good for sentiment analysis, so a test will be carried out to find the best kernel among linear, sigmoid, polynomial, and RBF kernels. The result is that sigmoid and linear kernels have a better value, namely 0.87 compared to RBF and polynomial, namely 0.86
IMPLEMENTASI METODE CERTAINTY FACTOR DALAM SISTEM PAKAR UNTUK MENGIDENTIFIKASI PENYAKIT TANAMAN LADA Muslimin B; Putu Sugiartawan
SINTECH (Science and Information Technology) Journal Vol. 4 No. 2 (2021): SINTECH Journal Edition Oktober 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i2.865

Abstract

Pepper is an agricultural commodity that has a high selling value and is resistant to disease. Identifying the disease in pepper requires knowledge from agricultural experts to evaluate the symptoms of the disease being experienced. Involving an agricultural expert certainly has drawbacks in terms of slow handling, less effective management of large amounts of data. So we need a system that can accommodate these problems. Expert system is one of the sub-branches of science in the field of artificial intelligence, where expert knowledge is expressed in a model with an intelligent-based system. The expert system serves as an interactive consultant media in diagnosing pepper plant diseases based on symptoms. In producing the right decision, a process model is needed in the form of tracing rules and knowledge preference values based on input values in the form of probabilistic data / uncertainty for each symptom. Certainty factor modeling method has the ability to evaluate the preference value of expert knowledge. Based on the model and the weight value of each measure and level of symptoms, it can produce a high level of accuracy decision analysis. Expert systems have advantages that can accommodate expert knowledge in diagnosing pepper plant diseases in time series. This research can help farmers, researchers, experts or agencies in the field of agriculture to identify common diseases of pepper, so that it can provide basic knowledge about various types of diseases and treatment solutions to support the growth of pepper plants.
MENILAI NIAT PERILAKU MAHASISWA UNTUK MENGGUNAKAN ILIAS SEBAGAI PLATFORM PEMBELAJARAN DARING MENGGUNAKAN MODEL UTAUT2 Sarmini Sarmini; Niken Lia Prihatiningtias Pambayun; Nilam Puspita Nurdewanti
SINTECH (Science and Information Technology) Journal Vol. 4 No. 2 (2021): SINTECH Journal Edition Oktober 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i2.869

Abstract

The use of e-learning in the learning process at Amikom Purwokerto University has been implemented since early 2019 by utilizing the ILIAS e-learning platform. The problem that arises is whether students are satisfied and intend to continue using the ILIAS platform for the online learning process during the pandemic period and afterwards where there are still many obstacles experienced by students during online lectures. This study aims to assess the behavioral intention of Amikom Purwokerto University students to use ILIAS as an online learning platform by adopting the UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) model. Based on the results of hypothesis testing, it shows that each variable has a significant effect and has a significant impact on the use of ILIAS, this is evidenced by each hypothesis being accepted with a t-value> 1.96. Based on the t-value, the variable Performance Expectancy, Facilitating Condition and Habit is the variable with the highest t-value among the other variables, namely (PE -> BI = 16.8709), (FC -> UB = 13.4742) and (HB - > UB = 12.6896). This shows that these three variables have a high significant influence and impact on the use of ILIAS. In further research, it may be possible to consider the use of moderating variables such as age, gender, experience, and so on or add other variables such as Security and Information Quality.
APLIKASI MHEALTH COVID-19 DI INDONESIA: ANALISIS KONTEN MENGGUNAKAN MOBILE APLICATION RATING SCALE (MARS) Maharani Bening; Kunto Adi Wibowo; Ikhsan Fuady
SINTECH (Science and Information Technology) Journal Vol. 4 No. 2 (2021): SINTECH Journal Edition Oktober 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i2.889

Abstract

It has been a year since the first COVID-19 cases in Indonesia and the development of COVID-19 health applications has grown significantly during that time. However, there has not been found research to analyze such an application in Indonesia. This study aims to evaluate the mHealth COVID-19 application in Indonesia application store, which will eventually become a reference for all researchers related to the mhealth application development in Indonesia. The researchers used COVID-19-related keywords to identify apps on iOS and Android devices. There were 17 applications selected for this research, and the applications' quality were assessed by two coders using the Mobile App Rating Scale (MARS). The search results totaled 842 applications, 19 of which met the researcher's criteria, and 17 applications were found to be assessed. This research was using the Krippendorff coefficient alpha (α) to calculate the reliability value of the agreement between coders. The result showed that PeduliLindungi applications had the highest (4.2/5) of the average MARS score, and the MARS scores of 14 applications were unacceptable (<3.0), which explained that most of the COVID-19 related apps in Indonesia are of low quality. Also, this research implies that the information-related features should be the next focus for overall quality improvement of the Indonesian mHealth application in the future.    
PENERAPAN METODE TEOREMA BAYES UNTUK MENDETEKSI HAMA PADA TANAMAN PADI MAYAS KALIMANTAN TIMUR Novianti Puspitasari; Hamdani Hamdani; Heliza Hatta; Anindita Septiarini; Sumaini Sumaini
SINTECH (Science and Information Technology) Journal Vol. 4 No. 2 (2021): SINTECH Journal Edition Oktober 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i2.919

Abstract

The community very much needs the nutritional needs of food during a pandemic. One source of nutrition that can be obtained is rice or rice derived from rice plants. Mayas rice is a rice plant with advantages in terms of high taste quality and components of certain physiological functions that are beneficial to health. However, Mayas rice has quite a lot of pest attacks, thus reducing agricultural production. On the other hand, the knowledge possessed by the community regarding pests in Mayas rice is still very minimal. Hence, people find it difficult to determine the proper pest control method. Bayes theorem applied in an expert system can be a solution to diagnose the types of pests that attack Mayas rice. The research data is a knowledge base that contains 32 symptoms that appear and 10 types of pests that attack Mayas rice. The results showed that the percentage of certainty in the diagnosis of the types of pests that pounded Mayas rice was based on the symptoms given by the user. The level of testing using ten test cases displays the results of an expert system for identifying types of pests that attack Mayas rice which is suitable for use with a percentage of 90%.

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