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Jurnal Sisfotek Global
Published by Institut Teknologi dan Bisnis Bina Sarana Global
ISSN : 20881762     EISSN : 27213161     DOI : http://.doi.org/10.38101/jsg
Core Subject : Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering
Jurnal Sisfotek Global is a peer-reviewed open access journal published twice a year (March and September), a scientific journal published by Institut Teknologi dan Bisnis Bina Sarana Global. Jurnal Global Sisfotek aims to provide a national forum for researchers and professionals to share their ideas on all topics related to the field of computer science. It is published in online version (e-ISSN 2721-3161) and printed version (p-ISSN 2088-1762). Jurnal Global Sisfotek has been indexed and abstracted in Index Copernicus, GOOGLE Scholar, BASE (Bielefeld Search Engine), Crossref Search, One Search, PKP-Indexed, Neliti search, Garuda, Dimensions, Scilit. Jurnal Sisfotek Global accepts quality manuscripts produced from research projects within the scope of the field of computer science, which include, but are not limited to the following topics: information systems, image processing, multimedia, mobile computing, artificial intelligence, expert systems, computer systems. The manuscript must be original research and written in English (from 2021).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 353 Documents
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Smart Trash Can Using Ultrasonic Infrared Sensor and Touch Sensor Based on Arduino Mega Tullah, Rahmat; Saputri, Fiqih Hana; Syahrin, Alvi
JURNAL SISFOTEK GLOBAL Vol 14, No 1 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i1.10878

Abstract

Most of the trash bins at school are conventional models. When you want to dispose of trash you have to open or push the lid on the trash can, sometimes the lid is dirty with garbage piling up because the cleaners rarely check the condition of the trash can, this makes students' interest and awareness low to throw garbage in place. The purpose of this research is to design a tool that can facilitate and attract students' interest in disposing garbage in its place and making it easier for janitors to check and control the contents of the waste. This research make the environment at SMK Yaspih Rajeg cleaner because most students are no longer lazy and hesitant to throw garbage in its place, supported by the performance of cleaners who are more optimal in checking and controlling the contents of the trash. This study uses several methods such as data collection and analytical methods (Structured Analysis and Design) with flowcharts. The result, smart trash can that uses Arduino Mega as a microcontroller combined with several sensors and modules such as ultrasonic sensors, infrared sensors, touch sensors, servo motors, and SIM800l V2 which presents various features in smart trash cans.
Analysis of The EwacsPro Auto Dispatch System in XYZ Company Using Technology Readiness Level (TRL) and Technology Acceptance Model 2 (TAM2) Adoption Risoyo, Imam Andrian; Taufik, Tatang Akhmad
JURNAL SISFOTEK GLOBAL Vol 14, No 2 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i2.15659

Abstract

Fleet Management System (FMS) is a system that quite good to manage the haul cycle and can be useful for reducing the idle time of the conveyance. The development of an FMS with an Auto Dispatch System (ADS) that utilizes digital information technology can make management easier. ADS is the system which has assignment logic systems for transport equipment, either directly suggesting to the operator through computerized systems or through dispatchers. XYZ Company developed its own ADS, called Early Warning & Control System Pro (EwacsPro), which has been tested on 1 of 4 total pits they have in ABC jobsite, using the LTE Communication network, which is the first in Indonesia. The problem behind this research is that the system has never been tested for readiness. This research aims to analyze, evaluate and explore the level of readiness of the EwacsPro system using the Technology Readiness Level (TRL) method and also analyze the level of operator acceptance of the use of the EwacsPro system adopting Technology Accetance Model 2 (TAM2) using Structural Equation Modeling (SEM) analysis. The research will provide recommendations to the XYZ management for improvements related to EwacsPro at ABC Jobsite so that it can provide benefits according to the technological design which has been made, using Business Model Canvas (BMC) tool. The EwacsPro system reached level 9 TRL with a fulfillment rate of 80%. There are 7 variables that significantly influence EwacsPro's Usage Behavior directly and 1 variable that significantly influences using 2 influencing moderator variables of the TAM2 analysis. The R-square test also shows that all values are above 0.75, which means that there is a strong influence from the measurement of the exogenous latent variable on the endogenous latent variable.
Implementation of K-means Clustering Algorithm for the Indonesian Stock Exchange Siregar, Bakti; Yosia, Yosia
JURNAL SISFOTEK GLOBAL Vol 14, No 1 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i1.10860

Abstract

In the dynamic field of financial markets, effective analysis and understanding of stock market behavior are very crucial for investors, analysts, and policymakers. This study investigates the implementation of the K-means algorithm for clustering stocks listed on the Indonesian Stock Exchange (IDX). The main objectives of this research include exploring IDX's clustering patterns, identifying groups based on their trading characteristics, and evaluating algorithm performance. Some challenging parts have been addressed, such as data quality, feature selection, determining the optimal number of clusters, scalability, interpretability, and evaluation. Precise data preprocessing, feature engineering, and algorithm optimization provide insight into the clustering structure of the Indonesian stock market, helping investors in portfolio diversification, risk management, and strategic decision-making. The results show the potential of the K-means algorithm in thoroughly uncovering important patterns on the IDX, thereby contributing to the advancement of market analysis methodologies adapted to the Indonesian financial environment.
Employee e-Recruitment using the Simple Additive Weighting (SAW) Algorithm at PT Krakatau IT Megayanti, Anita; Ritonga, Roy Amrullah; Rizqi, Via Fajriyatin
JURNAL SISFOTEK GLOBAL Vol 14, No 2 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i2.15515

Abstract

Recruitment aims to get the right people according to criteria that suit the company's conditions and needs. Currently in Krakatau IT the recruitment system is implemented manually using the stages of receiving files in hardcopy or still using company email, carrying out written tests directly in paper form. This requires a long time in the process of file selection and assessment of test results. To overcome this problem, an online recruitment system is needed, starting from publishing job requirements/vacancies, selection stages and online assessments. This e-recruitment can make decision making easier, from identifying problems to selecting the right data. The decision-making methodology in designing e-recruitment uses the simple additive weighting (SAW) method can help improve the fit between employees and their roles, which can contribute to better performance so that employee selection is based on criteria that match job requirements.
Application of the Certainty Factor Method in Expert System for Diagnosing Toddler Diseases Tou, Nurhaeka; Endraswari, Putri Mentari; Annisa, Nur; Juniawan, Fransiskus Panca
JURNAL SISFOTEK GLOBAL Vol 14, No 1 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i1.10812

Abstract

The toddler period is the period after birth up to the age of 59 months. During this period, the immune system in the toddler's body is not yet working optimally, so during this period the toddler is more vulnerable to attacks from various diseases. When a toddler is sick, it is not uncommon for parents to feel confused about what to do or misinterpret the symptoms experienced by the toddler. In conditions like this, the role of a doctor is very necessary. However, in reality, not all parents want to see a doctor, because of the high cost of treatment. Therefore, we need an expert system for diagnosing toddler diseases using the Certainty Factor method to support parents' ease in identifying symptoms and illnesses suffered by toddlers as early as possible. This study used 12 data on toddler illnesses with 51 symptoms. The results of this research show that from the 15 cases that were tested, the precession value was 86.66% and the recall value was 100%. Based on the results of this research, it can be concluded that this system can be used by users to diagnose illnesses in toddlers. With this system, it is hoped that parents can determine the type of disease experienced by toddlers quickly, precisely, and efficiently.
Development of Internet of Things-Based Room Security using Telegram Tullah, Rahmat; Sofia, Detin; Hafidin, Alfa
JURNAL SISFOTEK GLOBAL Vol 14, No 2 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i2.15697

Abstract

Security plays a very important role in various aspects, one of which is the security of a home room which is a building for a residence. Currently, there are still many home security system devices circulating on the market that are considered ineffective in their use and cost. In addition, the home security system cannot provide warning notifications when home security is threatened and send the latest conditions of the house. This study designs a home room security system using the Internet of Things (IoT) based on Telegram Messenger. When the Passive Infrared Receiver (PIR) sensor detects movement, the OV2460 camera on the ESP32-Cam module will take a picture and then send it to the homeowner as a form of home security warning via a bot on Telegram Messenger. When the Flame Sensor detects a fire, the Buzzer will sound and then send a notification in the form of a fire warning. The results of this study showed that the home room security that was created was able to detect movement at an effective distance of the PIR sensor of 1 - 6 m and the presence of fire on the Flame Sensor which has a wavelength between 760nm - 1100nm. For the next researcher, they can develop a camera that can detect faces (face detection) and face recognition.
Analysis and Development of a Decision Support System for Selection of Prospective KIP Scholarship Recipients Swanda, Yoga; Hartanto, Oki; Agusli, Rachmat
JURNAL SISFOTEK GLOBAL Vol 14, No 1 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i1.10940

Abstract

Global Institute of Technology and Business Campus (Global Institute) is one of the campuses that organizes the KIP (Kartu Indonesia Pintar) scholarship program. This program aims to increase access to education for children from disadvantaged families and provide them with financial support. The research methods used are needs analysis, system design, and prototype implementation. This research collects data from various sources, including personal data of prospective scholarship recipients, academic data, family income data, and other relevant factors. The data collected is then analyzed using appropriate decision making methods, such as the Analytical Hierarchy Process (AHP) and TOPSIS methods. A Decision Support System is an interactive platform that helps make decisions efficiently and effectively in the process by presenting alternatives resulting from data processing, information, and the design of interactive computer-based models or systems. This platform provides support to decision makers in utilizing data and models to overcome unstructured problems.
Design of a Heart Rate Monitoring Application Based on Internet of Things (IoT) Technology with WhatsApp Blast Legiawan, Mohamad Kany; Nazilah, Siti; Nurfauzi, Rizky
JURNAL SISFOTEK GLOBAL Vol 14, No 2 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i2.15676

Abstract

The highest death rate based on data from WHO (World Health Organization) is due to heart-related diseases. In 2015, more than 17 million people in the world died from heart disease and blood vessel disorders. About 75% of deaths from heart disease occur in developing countries with low to moderate income. Based on SRS (sample registration system) data in 2014, heart disease was the highest cause in Indonesia, namely 12.9%. With IoT (Internet of Things) technology, it can make it easier to provide information to survivors, namely carrying out early heart detection if there are several anomalies that occur in the human body, especially heartbeats that do not comply with the provisions. Utilizing the Max30102 sensor in collaboration with several other IoT devices can be integrated with a web-based system which is used for monitoring based on incoming data from IoT devices. This system is capable of recording heart data in humans in real time by providing notifications to heart survivors via WhatsApp blasting technology.
Multifactor Evaluation Process for a Decision Support System for Selecting the Best Students Ryando, M. Bucci; Ferawati, Ferawati; Iqbal, Muchamad; Setiawan, Prayoga
JURNAL SISFOTEK GLOBAL Vol 14, No 1 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i1.10879

Abstract

The utilization of information systems can significantly contribute to enhancing efficiency and service delivery at MA Daarul Falah, an educational institution in Pondok Pesantren Daarul Falah. Previously, there were often issues with subjective assessment of high-achieving students and inadequate archiving of previous years' assessment records. This study aims to expedite the collection of student assessment data from each class, automate the student grading process, and improve the objectivity of the school's assessments of all students. The method employed in this research is the Multi-Factor Evaluation Process (MFEP), implemented using the PHP programming language. The results of the study indicate that students who receive a total evaluation score above 90.00 are considered eligible to serve at Pondok Pesantren Daarul Falah, while those who score below 90.00 are deemed ineligible to serve there.
Clustering of Eligibility and Characteristics of Smart Indonesia Card Recipients for College using Agglomerative Hierarchical Clustering Ryando, M. Bucci; Sutarman, Sutarman
JURNAL SISFOTEK GLOBAL Vol 14, No 2 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i2.15707

Abstract

Since 2023, the Smart Indonesia Card or Kartu Indonesia Pintar-Kuliah (KIP-K) has two schemes. Consisting of KIP-K Scheme 1, where scholarship recipients are exempted from tuition fees and receive living allowances during the KIP-K scholarship period and KIP-K Scheme 2, where scholarship recipients are only exempted from tuition fees without receiving living allowances. Lack of information about the characteristics of prospective KIP-K scholarship recipients is a problem in itself. Many universities/institutions are not on target in providing this scholarship. This study aims to obtain clusters of recipients of KIP-K Scheme 1, KIP-K Scheme 2, and Not Eligible who are received and to obtain the characteristics of recipients of KIP-K Scheme 1, KIP-K Scheme 2, and Not Eligible who are received. This research method uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) approach consisting of the stages of Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment and uses a combined method of Agglomerative Hierarchical Clustering with Average Linkage and uses the Calinski-Harabasz Index to test the validity of the cluster. The results of the study showed that the best cluster to explore was in 10 clusters with a Calinski-Harabasz Index value of 34.88236681148884. It was concluded that the feasibility of Scheme 1 KIP-K in cluster 8, 9 and 10.

Page 35 of 36 | Total Record : 353

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