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JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 2686228X     DOI : -
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Artikel yang dimuat melalui proses Blind Review oleh Jurnal JOSH, dengan mempertimbangkan antara lain: terpenuhinya persyaratan baku publikasi jurnal, metodologi riset yang digunakan, dan signifikansi kontribusi hasil riset terhadap pengembangan keilmuan bidang teknologi dan informasi. Fokus Journal of Information System Research (JOSH)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 795 Documents
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Implementasi Sistem Perangkat Ukur Status Gizi Berbasis IOT: Posyandu Lansia Desa Karangan Raihan, Muhammad; Ristian, Uray; Hasfani, Hirzen
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5856

Abstract

Posyandu lansia is a government initiative designed to improve the well-being and health of older people. The program includes periodic evaluation of nutritional status, which includes measuring body weight, height and looking up the nutritional status of the elderly. The manual measurements often used in posyandu, while accurate, are often time-consuming and require high accuracy from health workers. To overcome these challenges, a nutritional status measurement device system called SIGIZI was developed. This system is connected to the measuring device using the HTTP protocol to allow direct data communication between the measuring device and the website in real-time. The system uses load cell sensors to measure weight and ultrasonic sensors for height. Data from the sensors is sent to the server in real-time via HTTP protocol, using stable connections from various providers. After the data is received, the system automatically calculates the Body Mass Index (BMI) by dividing body weight by the square of height, the results of this calculation are used to assess the nutritional status of the elderly. Analysis reveals that the BMI values obtained from SIGIZI and manual measurements differ by an average of 0.4 kg/m², with an error rate of 1.7% and an accuracy of 98.3%, indicating that SIGIZI's measurements are very close to those obtained manually. Furthermore, the HTTP protocol used for SIGIZI data transmission shows a stable connection with Axis (3.0 ms), Telkomsel (3.2 ms), and Tri (3.6 ms). Additionally, the average data transmission delay of 203 ms falls within the acceptable range according to the TIPHON standard, demonstrating that the system is reliable for efficient data transmission.
Sistem Pemantauan Dan Peringatan Volume Cairan Intravena (Infus) Pasien Berbasis Edge Computing Saputra, Maulida Nandar; Ristian, Uray; Hasfani, Hirzen
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5857

Abstract

Manual infusion fluid volume monitoring in hospitals has the risk of delays, which can endanger patients such as dehydration or electrolyte disturbances. This problem is caused by the limited time and labor of nurses in monitoring infusions in real-time. This research aims to develop an edge computing-based infusion fluid monitoring and alert system to monitor the volume and speed of infusion droplets in real-time through the website. This system uses NodeMCU ESP32 to collect data from load cell and photodiode sensors, which are then processed on the edge server and displayed on the website. Tests were conducted in three conditions, namely Line of Sight (LoS), Non-Line of Sight (NLoS), and without edge computing. The test results show that the LoS condition provides the best performance with an average delay of 113 ms, while the NLoS condition increases the delay to 146 ms. Without edge computing, the delay is higher than with the use of edge computing. Based on the test results, the use of edge computing in LoS conditions provides the best performance with the lowest delay, thus significantly improving the efficiency of infusion monitoring and reducing the risk of delayed infusion fluid replacement. The system has a measurement accuracy of 99.48% on the first infusion device, 99.58% on the second infusion device, and 99.57% on the third infusion device.
Perancangan dan Implementasi Aplikasi Bank Sampah untuk Penjadwalan Pengangkutan dan Transaksi Sampah Menggunakan Metode Extreme Programming Inzani, Febrilia Putri; Adi, Taufik Nur; Thohiroh, Elvira Lailatuth
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5864

Abstract

A waste bank is a facility that functions to manage waste by applying the principles of 3R (Reduce, Reuse, Recycle) to support sustainable environmental programs and provide economic benefits to the community. Bank Sampah Capetang, located in Kelurahan Sekejati, Kecamatan Buah Batu, Kota Bandung, faces several operational management issues, particularly in transaction recording and waste transportation scheduling, which are often missed. These issues impact daily operational uncertainty and the potential loss of important data. This study aims to provide a solution by developing a web-based information system that integrates waste transportation scheduling and transaction recording, as well as providing a unified platform for Bank Pusat and Bank Unit managers to operate the waste bank. The system was developed using the Extreme Programming (XP) method, known for its iterative approach in software development. The technologies implemented in this system include the use of Unified Modeling Language (UML) for system modeling, the Laravel framework for application development, MySQL for database management, as well as Black Box Testing and User Acceptance Testing (UAT) for application testing. The testing results show that most tests were successful ("Passed") with some minor improvements that have been addressed. Thus, the developed information system meets the needs of Bank Sampah Capetang, with all key features such as scheduling and transaction recording functioning well. This study is expected to improve efficiency and performance in waste bank management.
Klasifikasi Kelayakan Air Minum dengan Backpropagation Neural Network Berbasis Penanganan Missing Value dan Normalisasi Kurniawan, Saifur Yusuf; Sanjaya, Suwanto; Vitriani, Yelfi; Afrianty, Iis
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5871

Abstract

The issue of drinking water quality and its suitability for human consumption represents a significant concern in contemporary society, particularly in the context of maintaining public health. The existing research on the classification of drinking water eligibility has yet to yield conclusive results. The objective of this research is to utilize the backpropagation neural network method to categorize drinking water feasibility data, thereby ensuring that the water consumed meets established safety standards. The data utilized in this study were obtained from an open repository and encompass a total of 3,276 data points. The data set comprises nine water quality parameter attributes, namely pH, hardness, solids, chloramines, sulfate, conductivity, organic carbon, trihalomethanes, and turbidity. The data underwent a series of pre-processing steps, including the removal of missing values, the replacement of missing values with the average value of the attribute, and normalization using the MinMax Scaler and Z-score methods. The artificial neural network architecture comprises three principal components: input, hidden, and output neurons. The optimal architecture scenario is [9; 17; 15; 10; 1], comprising nine input neurons, 17 neurons in the initial hidden layer, 15 neurons in the second hidden layer, 10 neurons in the third hidden layer, and a single output neuron. The evaluation results demonstrate that this model effectively classifies drinking water eligibility data with an accuracy rate of 0.6579. However, the results indicate that the accuracy achieved requires further improvement for more reliable applications. These findings illustrate the promising potential of the BPNN method in classifying drinking water quality data.
Sistem Kendali dan Pemantauan Inkubator pada Telur Bebek Berbasis Internet of Things (IoT) Handayani, Nia; Rismawan, Tedy; Nirmala, Irma
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5872

Abstract

The process of hatching duck eggs still uses manual methods, namely by incubating the brood directly or incubating other birds. Over time, farmers began to use hatching machines (incubators) to hatch duck eggs. The use of incubators still controls and monitors manually, namely checking the temperature and humidity of the incubator is still done by the breeder periodically and reversing the position of the eggs is still done one by one by hand. This research aims to build a system that can control and monitor duck egg hatching using incubators automatically and manually based on the Internet of Things using DHT22 sensors, ultrasonic sensors and PIR sensors. The effect of the implementation of the incubator control and monitoring system on duck egg hatching, which can maintain the egg hatching environment in the incubator based on ideal parameters without having to be monitored directly by the breeder. The system can be controlled automatically and manually through the website and successfully hatch 10 fertile eggs within 29 to 30 days. The condition of the hatched ducklings is also healthy, no defects. DHT22 sensor readings in testing the entire system get good results with an average error value of 0.87% for temperature and 3.91% for humidity. The DHT22 sensor reading value ensures that the temperature and humidity in the incubator are maintained by controlling the on and off of two lights and two fans. Furthermore, the ultrasonic sensor readings in the overall system test also obtained good results with an average sensor error value of 0.19%. The distance of water in the container can be maintained because the system can control the on and off of the water pump. Then, the PIR sensor readings in the overall test successfully detected all movements of the duck eggs that hatched in the incubator so that the system can provide warnings in the form of buzzer sounds and pop-up notifications on the website.
Pemodelan Attack Tree Pada Spear Phishing Attack di Instansi Publik dengan Metrik Granularitas Data Pratiwi, Anisa Wahyu; Widjajarto, A.; Budiyono, Avon
Journal of Information System Research (JOSH) Vol 6 No 3 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i3.5876

Abstract

Data security is important to protect personal and sensitive information. Data leakage cases that have occurred in Indonesia have recorded that 80% of Indonesian citizens' data is sold on dark forums (dark web), this will certainly cause losses to individuals and organizations. Factors that cause data leaks can be the lack of security protocols, direct attacks, or phishing attacks. One type of phishing attack that targets more specific individuals is called a spear phishing attack. This research aims to identify potential data leakage from public data in public institutions by formulating an attack tree based on the Data Flow Diagram (DFD) of a spear phishing attack using data granularity metrics with a combination of attacks from Open Source Intelligence (OSINT) tools, social engineering tools, and email spoofing. This research generates and compares four attack tree models with no attack launching or exploitation. First OSINT TheHarvester, social engineering SEToolkit, and email spoofing. Second OSINT Metagoofil, social engineering ZPhisher, and email spoofing. Third OSINT Recon-ng, social engineering SEToolkit, and email spoofing. The fourth OSINT Snov.io, social engineering ZPhisher, and email spoofing. Spear phishing attack using OSINT Snov.io is the best attack combination because it has varied data details, namely getting five types of data and a high level of data granularity with a total of 367 data so that there are more opportunities to carry out attack planning and security analysis.
Penerapan Model EfficientNetV2L Dalam Mendeteksi Citra Penyakit Daun Tomat untuk Meningkatkan Hasil Panen Petani Mustopa, Ali; Khultsum, Umi; Sabaruddin, Raja; Ikhsanda, Reza; Firmansyah, Herman
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5886

Abstract

In the era of modern agriculture, farmers face increasingly complex challenges related to controlling tomato plant diseases. Lack of knowledge and in-depth understanding of the types of diseases that may occur in tomato leaves can result in errors in identifying plant health problems, which can ultimately disrupt productivity and sustainability of crop yields. There is a major urgency that drives this research is the need for a better understanding of the diseases that affect tomato plants. In addition, the need to develop accurate models to detect diseases quickly and efficiently and the importance of implementing solutions that are practical and easily accessible to farmers. This study aims to provide farmers with useful tools to recognize and treat tomato leaf diseases more effectively so that they can increase yields and significantly increase their income. The model developed is expected to be able to identify and classify various types of tomato leaf diseases with high accuracy. This study utilizes a deep learning method using a Convolutional Neural Network (CNN) based on the EfficientNetV2L architecture in the tomato leaf disease classification process. This study produces an accuracy of 97.22% in the classification process using the EfficientNetV2L architecture and the implementation of a model that can be easily adopted by farmers. The developed model is integrated into a web-based system that can be accessed by farmers widely.
Sistem Pendukung Keputusan Pemilihan Supplier Toserba Terbaik Menggunakan Metode Objective Weighting-TOPSIS (OWH-TOPSIS) Izka, Ade Adyatna; Sulistiani, Heni
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5889

Abstract

Convenience store suppliers are important partners in the retail supply chain, responsible for providing a wide range of daily necessities, from groceries to household items, directly to retailers or convenience store owners. The problem in the research on selecting the best convenience store supplier lies in the complexity of evaluating and balancing various criteria that affect supplier performance. Each supplier has different advantages and disadvantages in terms of product quality, price, delivery time, product availability, flexibility in ordering, and payment terms. The main challenge in this study is to determine the right weight for each criterion so that the selection decision can reflect the strategic needs of the convenience store objectively and accurately. The Objective Weighting-TOPSIS (OWH-TOPSIS) method is a modification of the TOPSIS method that combines an objective weighting approach to objectively determine the weight of the criteria. OWH-TOPSIS is an approach in a decision support system that combines objective weighting with the TOPSIS method to effectively assess and prioritize alternatives. The results of the supplier assessment ranking show that Supplier 3 and Supplier 7 are in the top position with very close preference scores, namely 0.9462 and 0.946 respectively, indicating that they are both the best choices based on the set criteria. Followed by Supplier 5 and Supplier 13 with identical scores of 0.9253, showing excellent performance but slightly below the top two suppliers. Supplier 1 is in fifth position with a score of 0.913, still in the very good category but slightly behind compared to the top four suppliers. This ranking provides a clear picture of each supplier's relative ranking in terms of meeting the evaluation criteria.
IT Governance Design Based on COBIT 2019 SME Focus Area for UMKM BPRBCo Digital Transformation Andika, Dafa; Mulyana, Rahmat; Ramadhani, Luthfi
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5905

Abstract

Along with the industrial revolution 4.0, incumbent organizations such as BPRBCo need to carry out Digital Transformation (DT) to stay relevant. However, many DT failures are suspected to be caused by suboptimal IT Governance (ITG). Previous research has shown the importance of ambidextrous ITG (traditional and agile hybrid) for large banks with the use of the COBIT 2019 framework that focuses on IT services, information security, and DevOps. However, this approach has not been proven to also apply to small banks. Therefore, this study aims to compile and design recommendations for priority ITG solutions for SME-scale organizations and estimate the increase in maturity level capabilities to support DT success. This study uses five stages of Design Science Research (DSR), namely problem identification, requirements specification, design and development, demonstration, and evaluation. Data was collected through semi-structured interviews and documents triangulation, then analyzed using the SME focus area of COBIT 2019. Based on the priority analysis based on design factors and previous studies, 3 prioritized ITG objectives were found, namely EDM03 Ensured Risk Optimization, MEA03 Managed Compliance with External Requirements, and DSS01 Managed Operations with an average capability maturity level of 3.3. Based on the findings of these gaps, 5 essential solutions were recommended and designed based on 7 ITGM components. These recommendations were then compiled into an implementation roadmap as a priority reference for BPRBCo which is expected to increase its capability to 3.5 if implemented properly. This study contributes to the ITG knowledge base for DT in small banks as a case study of SMEs and provides practical implications for the management of similar organizations.
IoT-based Intelligent System for Laboratory Facility Control with Blynk Rakhmawati, Puji Utami; Rizdania, Rizdania; Muladi, Muhammad Nasikhul
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5908

Abstract

This study presents the development of a smart laboratory using the Internet of Things (IoT) intelligent system technology to control electronic devices, especially air conditioners (AC). The AC in the laboratory is a device that consumes very high electrical power. Human resources personnel who use the laboratory often forget to turn off the devices after use. The problem is high electricity costs due to forgetting to switch off devices. This study solves this problem with an IoT-based intelligent system to control laboratory facilities by utilizing the Blynk App. Blynk is an Android-based open-source software that can connect with ESP32, so control can be done easily anywhere and anytime. In this study, a prototype IoT control system was developed that allows users to control and monitor equipment via the internet automatically. This study uses ESP32 technology, where an Arduino device is used as the receiver connected to Wi-Fi, and a microcontroller is used as an automatic control. ON/OFF control using 220v 30A relays as many as four pieces. Test results from this study showed that the device provides a response time of 1 second to respond to commands, and the four relays installed successfully controlled the devices.

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