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Perancangan Sistem Monitoring Penggunaan Daya Listrik/ Kwh Rumah Tangga Berbasis Iot Dan Android Fergina, Anggun; Somantri, S; R, Rini Melani
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.804

Abstract

Electricity is a very important component of human life, especially in daily life. Electricity consists of several categories, one of which is the household category which we often encounter in the surrounding environment because it is used at home. Electronic devices are a necessity, when using electronic devices of course you need help with an electricity supply, and every house needs a device in the form of a KWH Meter (Kilowatt/Hour), but when using a KWH Meter (Kilowatt/Hour) currently users can only see electricity usage information. manually by looking directly at the token balance on the KWH Meter, this of course makes it difficult for users to know the contents of the token balance when they are outside the house, therefore a KWH (Kilowatt/Hour) usage monitoring tool is needed to find out how much it costs to use electricity. via Android. The result of this research is a system for monitoring the use of KWH (Kilowatt/Hours) Meters in the form of IoT (Internet of Things) devices and Android applications to help users find out information on power usage, voltage, current and electricity bills in real time.
Perancangan Aplikasi Mobile Sig Untuk Pemantauan Sebaran Penyakit Di Kabupaten Cianjur Somantri, S; Hermanto, H; Darmawan, Muhammad Rifqi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.806

Abstract

Cianjur Regency is one of the districts with the largest population in West Java. Therefore, this research proposes designing a Geographic Information System (GIS) mobile application in an effort to increase the effectiveness of monitoring the spread of disease in Cianjur Regency. This research uses a waterfall-based software development methodology which includes analysis, design, implementation, testing and maintenance stages. At the analysis stage, overall system requirements are determined, including by determining software and hardware requirements. The design stage involves creating data flow diagrams and user interface design. The implementation was carried out using Android-based mobile development technology using Kotlin Jetpack Compose and Laravel. This application is equipped with main features such as an attractive display, an interactive map that displays the distribution of disease cases along with education about each disease. Application testing is carried out using the Black Box and Posman testing methods to ensure that each function runs according to predetermined specifications. Test results show that this application can facilitate monitoring the spread of disease quite well. Apart from that, it is hoped that this application will help the government and health workers to take appropriate action to prevent the further spread of disease and for local communities to be able to find out what phenomena are occurring in their area along with education about the disease.
Penerapan Algoritma Naive Bayes dan KNN pada Klasifikasi Gizi Ibu Hamil di Puskesmas Cicurug Insany, Gina Purnama; Somantri, S; Maulina, Siti Farda
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.802

Abstract

Nutrition is a very important factor for the human body, especially for pregnant women. Based on data from the 2018 Basic Health Survey (Riskades), 48.9% of pregnant women, 17.3% of whom suffer from Chronic Energy Deficiency (KEK), and 28% of pregnant women are at risk of experiencing birth complications that can cause death. Even though this figure shows a decline every year, the problem of malnutrition among pregnant women is still a major concern. In data analysis, the classification technique with the best performance was used to classify the nutritional status of pregnant women. Classification of the nutritional status of pregnant women using the supervised learning method with the Naïve Bayes and K-nearest neighbor (K-NN) algorithms. The data set used was 850 pregnant women which included the variables age, upper arm circumference (LiLA), Body Mass Index (BMI), and Hemoglobin. The research results show that the Naive Bayes algorithm has an accuracy value of 79.18% with an error value of (0.6802) with the K-NN model k=3, k=5, and k=7. Meanwhile, the K-NN k=3 and k=5 algorithms have the most optimal accuracy of 94.92% with an error value of (0.1878), while the K-NN k=7 model has an accuracy value of 93.90% with an error value of (0.2284).
Rancang Bangun Sistem Monitoring Rental Sepeda Berbasis Iot Dan Android Somantri, S; Insany, Gina Purnama; Novianti, Ane
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.803

Abstract

In today's sophisticated era, bicycle rental is a popular transportation solution in many cities, and bicycle rental has become part of today's business. Recording user data is still done manually/conventionally, calculating rental time, total rental costs, knowing the coordinates of the location of the bicycle being rented. Based on this description, an IoT and Android-based bicycle rental monitoring system was created. Bicycle rental monitoring system to monitor the whereabouts of rental bicycles such as location coordinates connected to the Firebase server. The system was created using an Arduino Uno microcontroller, RFID MRC522, Wemos ESP 8266, and GPS Neo 6M.   The RFID card functions as a registered user ID, when the RFID tag is read by the RFID reader, the Wemos ESP8266 must be connected to WiFi so that the recorded coordinates of the GPS Neo 6M will be sent to the server, as well as the registered user, rental date , rental time, rental costs can be seen in real-time in Firebase, can be seen in the Android application that has been connected to the tool. In this way, it can help bicycle rentals in monitoring the bicycles they rent, as well as processing this rental data so that it is not manual
Perancangan Sistem Deteksi Objek Menggunakan Deep Learning Untuk Mengetahui Ketersediaan Parkir Berbasis Web Fergina, Anggun; Somantri, S; Ayulianti, Radita
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.418

Abstract

Parking systems often use visual monitoring by parking guards via CCTV, who sometimes experience problems in finding available empty parking spaces. This can cause inaccuracies in directing parking users to available spaces, increasing traffic congestion around the parking area. Therefore, this research aims to design an object detection system using deep learning technology to ensure the availability of parking spaces through a web-based application using the Yolo v8 and prototype methods. Testing the essence of the system shows that object detection is carried out effectively, with box boundaries that correspond to the presence of vehicles in the parking lot. Web test results show consistency between the number of vehicles detected and the numbers displayed on empty and occupied parking slots. Usability testing involving 60 respondents showed a high level of satisfaction, with an average percentage of 91.20%, indicating the level of suitability of the system to user needs.
Analisis Keamanan Dan Eksploitasi Kernel Android 13 Menggunakan Metasploit Reverse_Tcp Alhidamkara, Salman; Somantri, S; Kharisma, Ivana Lucia
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.410

Abstract

The development of information technology, especially in the mobile field, has changed the way we interact with devices substantially. Android, as the most dominant mobile operating system used worldwide, attracts significant attention to its security aspects. Despite improvements in the security of Android devices, exploitation attempts continue to be made by security researchers and hackers using various methods, including exploitation via Reverse_TCP with tools such as Metasploit. This research aims to analyze the security of Android 13 devices using the Reverse_TCP method via Metasploit. The methods used involve exploitation by sending backdoor applications, opening Meterpreter sessions, and stealing data such as SMS and call logs. The results showed that Google Play Protect detected malicious applications, but the applications could still be installed and run, indicating a weakness in the security detection system. Reverse_TCP exploits can lead to unauthorized access to personal data and full control of the device, posing significant risks to users. Proposed preventive measures include using the Mobile Security Framework (MobSF), enabling Google Play Protect, and disabling unnecessary app permissions. This study suggests further research to overcome limitations and explore further the security aspects of Android
Rancang Bangun Aplikasi E-Learning Berbasis Progressive Web Apps Untuk Menunjang Pembelajaran Online dengan Metode Prototyping Hardianty, Dini Agnia; Yustiana, Indra; Somantri, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.487

Abstract

Covid-19 pandemic has an impact on the Indonesian education system which makes the learning process from offline to online. This is what prompted Hayyatan Thayyibah High School to create an E-Learning application to support the online learning process, apart from being used for online learning, the Hayyatan Thayyibah High School E-learning application was also used to share information and take attendance for reading the Qur'an (Tallaqi). The E-Learning application was built using the Prototyping method, from the results of usability testing, an average score of 80% showed that the application could be used well by students and the teacher.
Rancang Bangun Aplikasi Pendeteksi Tingkat Kepekatan Asap Hasil Pembakaran Berbasis Internet of Things Somantri, S; Kharisma, Ivana Lucia; Angelina, Nadila
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.680

Abstract

The objective of this study is to develop and construct an Internet of Things (IoT) system(Internet of Things) application for detecting the concentration level of smoke resulting from combustion. The current advancement in technology has had a significant Significant influence across a range of domains, encompassing the realm of Internet of Things (IoT). The IoT network allows devices to interact and exchange information automatically, enhancing efficiency and security in various sectors. Early detection of smoke is crucial for preventing further damage and protecting human health. Therefore, this research utilizes MQ-135 and TGS 2600 sensors as smoke detection sensors. Through IoT, real-time measurement of smoke concentration can be achieved, enabling immediate actions in response to significant changes. The data collected through IoT can to enhance effectiveness, the information can be stored within a database and efficient research. By implementing this application, it is expected to provide a better solution for automatic detection and monitoring of smoke resulting from combustion, reducing air pollution risks, and enhancing human safety.
Rancang Bangun Aplikasi E-Learning Berbasis Progressive Web Apps Untuk Menunjang Pembelajaran Online dengan Metode Prototyping Hardianty, Dini Agnia; Yustiana, Indra; Somantri, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.487

Abstract

Covid-19 pandemic has an impact on the Indonesian education system which makes the learning process from offline to online. This is what prompted Hayyatan Thayyibah High School to create an E-Learning application to support the online learning process, apart from being used for online learning, the Hayyatan Thayyibah High School E-learning application was also used to share information and take attendance for reading the Qur'an (Tallaqi). The E-Learning application was built using the Prototyping method, from the results of usability testing, an average score of 80% showed that the application could be used well by students and the teacher.
Rancang Bangun Aplikasi Pendeteksi Tingkat Kepekatan Asap Hasil Pembakaran Berbasis Internet of Things Somantri, S; Kharisma, Ivana Lucia; Angelina, Nadila
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.680

Abstract

The objective of this study is to develop and construct an Internet of Things (IoT) system(Internet of Things) application for detecting the concentration level of smoke resulting from combustion. The current advancement in technology has had a significant Significant influence across a range of domains, encompassing the realm of Internet of Things (IoT). The IoT network allows devices to interact and exchange information automatically, enhancing efficiency and security in various sectors. Early detection of smoke is crucial for preventing further damage and protecting human health. Therefore, this research utilizes MQ-135 and TGS 2600 sensors as smoke detection sensors. Through IoT, real-time measurement of smoke concentration can be achieved, enabling immediate actions in response to significant changes. The data collected through IoT can to enhance effectiveness, the information can be stored within a database and efficient research. By implementing this application, it is expected to provide a better solution for automatic detection and monitoring of smoke resulting from combustion, reducing air pollution risks, and enhancing human safety.