Articles
Implementasi Sistem Monitoring Jaringan Kantor PT Mitra Solusi Infokom Menggunakan Manageengine Opmanager dengan Metode SNMP Protocol
Irvan Irvan;
Perani Rosyani
Journal of Information System Research (JOSH) Vol 3 No 1 (2021): Oktober 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)
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DOI: 10.47065/josh.v3i1.1101
PT Mitra Solusi Infokom (MSInfokom) is an IT System Integrator company engaged in Technology and Communication Infrastructure. Network monitoring in MSInfokom is still done manually and still relies on conventional methods, so it has an impact on the efficiency of the time used by the Network Operation Center (NOC) because it has to do direct tracking on existing devices. This thesis aims to design and build a network monitoring system using ManageEngine OpManager with the SNMP Protocol method. The result obtained from the use of this network monitoring application is to monitor the device in real time, where the system will send notifications via email in case of a malfunction or downtime on the existing device.
SOSIALISASI INTERNET SEHAT DAN ETIKA BERMEDIA SOSIAL UNTUK PKK GRIYA INDAH SERPONG
Rinna Rachmatika;
Kecitaan Harefa;
Perani Rosyani;
Ny.Ayni Suwarni Herry;
Joko Priambodo
JAMAIKA: JURNAL ABDI MASYARAKAT Vol 1, No 1 (2020): FEBRUARI
Publisher : Universitas Pamulang
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PKK merupakan salah satu gerakan nasional dalam pembangunan masyarakat. Perempuan di Indonesiaadalah penggerak bagi pemberdayaan dan kesejahteraan keluarga, sehingga banyak dari para ibu yangmenjadi anggota PKK. Saat ini penggunaan Internet dan media sosial semakin mudah. Namun yangdirasa saat ini dalam penggunaannya banyak dampak yang terjadi terutama dampak negatif. Rendahnyapengetahuan tentang penggunaan Internet sehat dan etika dalam bemedia sosial di kalangan masyarakat,menjadikan masih banyak masyarakat terutama ibu-ibu yang sering menyebarkan berita HOAX ataupuninformasi yang tidak sesuai dengan data valid lewat media sosial, sehingga tidak sedikit masyarakat yangakhirnya tidak akur dengan masyarakat lainnya atau bahkan banyak para ibu yang terkena pasal UU ITE.Dengan adanya sosialisasi tentang Internet sehat dan etika bermedia sosial yang dihadiri oleh ibu-ibuPKK ini, dalam waktu yang tidak lama mereka sudah memahami mengenai Internet sehat dan mengerticara beretika dalam bermedia sosial serta dapat menghindarkan diri dari dampak negatif Internet jugamedia sosial.
Analisis Efisiensi Inverter pada Grid-Connected 50 KWp Unpam Viktor
Woro Agus Nurtiyanto;
Perani Rosyani;
Lili Solihin;
Wiji Prayogo
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)
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DOI: 10.47065/josyc.v3i4.2134
The efficiency of grid-tied inverters in converting electrical energy sourced from solar power plants. The purpose of this study is to find out how efficient the Grid-tied inverter is based on the results of field tests, and it is useful as a reference to determine the performance of an inverter connected to the utility grid. Quantitative research methods with direct measurement techniques use the Seaward PV meter measuring instrument and the IsolarCloud monitoring application and control panel to determine the output power absorbed by the load with the research location in the inverter room on the 7th floor of the Pamulang Viktor University campus. The results show that the highest efficiency is achieved with a value of 98.4% where it can be said that the inverter can convert almost all of the energy produced by solar cells, with an average short circuit current (Isc) 16% greater than the maximum current (Imp) and open circuit voltage (Voc) is 21% greater than the maximum power voltage. The results of the analysis also show that the increase in current has no significant effect on the efficiency of the inverter.
IMPLEMENTASI SISTEM MONITORING JARINGAN INTERNET KANTOR PT.PERMODALAN NASIONAL MADANI (PERSERO) MENGGUNAKAN JESSIE OBSERVIUM DAN MIKROTIK (SIMONJANGKAR)
Agus Juliono;
Perani Rosyani
KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Vol 3, No 1 (2022)
Publisher : Institut Teknologi Adhi Tama Surabaya
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DOI: 10.31284/j.kernel.2022.v3i1.2393
PT Permodalan Nasional Madani (PNM) adalah perusahaan yang bergerak di bidang jasa keuangan. Perusahaan ini didirikan oleh Pemerintah Indonesia pada tanggal 1 Juni 1999 dan bertujuan membantu pengembangan usaha mikro, kecil, menengah, dan koperasi. Tujuan penelitian ini adalah memahami dan menganalisa sistem monitoring jaringan yang sedang berjalan di PT.PNM (Persero) dan mengatasi kekurangan yang ada, kekurangan tersebut yaitu belum tersedianya sistem monitoring jaringan perusahaan secara realtime sehingga dapat memperlambat proses operasional yang berimbas pada kelangsungan bisnis perusahaan yang terganggu, maka dari itu diperlukanya sistem monitoring secara realtime dengan mengaplikasikan system monitoring menggunakan Jessie Observium yang telah di integrasikan dengan mikrotik. Hasil yang ingin dicapai adalah system monitoring yang ada pada PT PNM menjadi lebih baik dalam network traffic monitoring, resource monitoring dan dapat mengukur latency, sehingga network monitoring system yang ada menjadi lebih powerfull dan membantu network administrator dalam mengambil keputusan dari network traffic yang lebih real time dan resource monitoring serta hasil pengukuran latency yang ada. Simpulan dari penelitian ini adalah Dengan menggunakan network monitoring system Observium maka PT PNM tidak perlu menambah biaya license untuk melengkapi kekurangan yang ada pada sistem serta implementasi dan integrasi network monitoring system Observium berhasil diterapkan dengan baik pada PT PNM ( persero).
Pemanfaatan aplikasi cashback dalam berbelanja online
Perani Rosyani;
Devi Yunita;
Intan Kumala Sari;
Muhammad Rosdiana;
Koirunnisya Koirunnisya
J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 4, No 1 (2020): April 2020
Publisher : IKIP PGRI Bojonegoro
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DOI: 10.30734/j-abdipamas.v4i1.944
ABSTRACTThe trend of online shopping for several years is very attractive to users, especially mothers who are already busy with their daily routines. Over time the increase in e-commerce companies also increased products issued to attract custumer's interest to shop online. One of them is the cashback obtained after shopping at several cooperating marketplaces. This is the purpose of our PKM to educate the public so that they understand the use of more benefits from supporting applications for this marketplace. In this PKM we explain the proven Shopback application that can generate other benefits after shopping. This can increase profits and knowledge for mothers who love to shop online. The results of this PKM is after this socialization mothers can implement this application every day in supporting transactions online to get savings from their shopping. Keywords: cashback, e-commerce, online shop ABSTRAKTren belanja online beberapa tahun ini sangat diminati oleh para pengguna khususnya ibu-ibu yang sudah sibuk dengan rutinitas sehari-hari. Seiring waktu bertambahnya perusahaan e-commerce bertambah juga produk-produk yang dikeluarkan untuk menarik minat custumer untuk berbelanja online. Salah satunya adalah cashback yang didapat setelah belanja di beberapa marketplace yang bekerja sama. Hal ini yang menjadi tujuan PKM kami untuk meng-edukasi masyarakat agar paham penggunaan manfaat lebih dari aplikasi pendukung marketplace ini. Dalam PKM ini kami menjelaskan mengenai aplikasi Shopback yang sudah teruji dapat menghasilkan keuntungan lain setelah belanja. Hal ini dapat menambah keuntungan dan pengetahuan bagi ibu-ibu yang senang berbelanja online. Hasil PKM ini adalah setelah adanya sosialisasi ini ibu-ibu dapat menerapkan dalam sehari-hari aplikasi pendukung ini dalam bertransaksi online untuk mendapatkan tabungan dari hasil belanja mereka. Kata Kunci: cashback, e-commerce, toko online
Pemantauan Kualitas Udara Berbasis Internet Of Things
Alvino Octaviano;
Sofa Sofiana;
Dion Orlando Agustino;
Perani Rosyani
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 2 (2022): Oktober 2022
Publisher : STMIK Budi Darma
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DOI: 10.30865/klik.v3i2.566
Air quality control is very important to do to avoid several diseases and minimize the effects of lung damage for Covid-19 survivors due to the increasing number of air pollution. This makes it quite difficult for people to know the air quality. The method used is a research and development method that includes system design, tool making, web-based application design, tool integration, and system testing. The sensors used are the MQ-7 sensor for CO gas, the Sharp GP2Y1010AU0F sensor for dust, and the DHT11 sensor for temperature and humidity. Each sensor is assembled into one with the WeMos D1 R2 microcontroller. The results of the system test for three days showed that the average temperature was 29.18°C, humidity was 80.01%, CO was 3983 g/m3 , and dust was 83.90 g/m3 . air quality monitoring systems for CO gas and dust pollutants can provide early warnings of poor air quality, so that people around the location of equipment placement can be more alert and reduce activities in the environment. Air quality data obtained from sensors can be displayed in real-time through the Blynk application and also stored on the ThingSpeak server which can be displayed on the ThingView application and web-based applications.
Sistem Monitoring Jumlah Orang dan Deteksi Logam Pada Tempat Wisata Mengunakan Berbasis Internet of Things
Woro Agus Nurtiyanto;
Perani Rosyani;
Helena Tamba
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 2 (2022): Oktober 2022
Publisher : STMIK Budi Darma
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DOI: 10.30865/klik.v3i2.600
The number of people in a room is an important thing to pay attention to, especially in the current pandemic era. The number of people must not exceed the maximum capacity of the room. Therefore, this study aims to create a system for counting the number of people in a room equipped with a warning alarm if the number of people exceeds the maximum capacity that can be determined through the Blynk application by the room manager. In addition, the room manager can unite the number of people and there is also a metal detection sensor so that people who enter the room do not bring metal items. Ultrasonic sensors are used to detect people entering and leaving the room. Nodemcu ESP8266 as a microcontroller and Blynk application can work to unite a number of people. This tool is an application of IoT (Internet of Things) using a Wi-Fi signal and is made to make it easier for managers of a shop or tourist spot to count and monitor the number of visitors who come. The monitoring system can be made using the NodeMCU ESP8266 microcontroller which has a WiFi module. This system uses an ultrasonic sensor and a working metal sensor running at a distance of 7 cm. The monitoring system with an internet of things (IOT)-based android smartphone uses the blynk application on a smartphone, which is directly connected to the monitoring system for the number of people and the metal detection system functions by proving the number of people and an alarm if there is metal
Perancangan Aplikasi WMS (Warehouse Management System) untuk Efisiensi Penyimpanan Stock Barang pada Warehouse dengan Metode FIFO (First In First Out)
Rifqi Alif Darmawan Putra;
Perani Rosyani
Jurnal Informatika Universitas Pamulang Vol 7, No 4 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang
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DOI: 10.32493/informatika.v7i4.26926
Warehouse is a place for storage of finished goods or semi-finished goods that are collected in one place for the purpose of being used or traded. The main problem in the warehouse is the storage area, sometimes the existing storage is not efficient, causing problems with the accuracy of the stock of goods. The purpose of this research is to make stock storage efficient so that it can increase the accuracy of stock items. The method chosen in this study is FIFO (First in First out) which means that the first goods enter, then the goods are the first to go out, so that the storage of goods in the warehouse becomes more efficient as a result of more regular goods transactions. The results obtained from this study are more efficient stock storage of goods and make goods transactions more orderly. The WMS system that was created still functions to regulate transactions on a basic basis, so that the development of the WMS system to add transaction menus such as reporting and min-max calculations can still be done.
Ekstraksi Fitur Wajah Menggunakan Metode Viola Jones dengan Tools Cascade Detector
Perani Rosyani;
Retnawati Retnawati
JURIKOM (Jurnal Riset Komputer) Vol 10, No 2 (2023): April 2023
Publisher : STMIK Budi Darma
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DOI: 10.30865/jurikom.v10i2.6062
The face is an important part of a person's characteristics that can be recognized by their differences from one another. In image processing, extracting features from faces is the most crucial thing, because features such as the eyes, nose, mouth and human face are very complex to be recognized by a computer. One of them is how the computer can recognize faces and see them like human eyes. Feature extraction is needed in image processing so that the computer can recognize and differentiate facial objects. This cascade is a method used to detect objects and the algorithm has a high degree of accuracy. This method is considered fast and robust for face detection. From the results of the implementation of facial feature extraction using Cascade Detector, it can be concluded that the feature extraction results for the detection of the face and nose produce an accuracy of 85.2% while for the detection of the right eye, left eye and mouth produce an accuracy of 81.9%, which means this level of accuracy smaller than face and nose detection. For the average accuracy value of each extraction of facial features, right eye, left eye, nose and mouth, that is equal to 83.22%. With an error of about 3% because there are detected animal faces. For Animal Nose 1% is detectable
LITERATUR RIVIEW: PEMANFAATAN KECERDASAN BUATAN (ARTIFICIAL INTELLIGENCE) UNTUK MENDETEKSI HASIL CT SCAN PARU-PARU PASIEN YANG TERINFEKSI COVID-19
Rizky Hanifudin;
Putri Rokhmayati;
Nandi Pura Nugraha;
Muhammad Afif Alrasyid;
Perani Rosyani
Journal of Research and Publication Innovation Vol 1 No 2 (2023): APRIL
Publisher : Journal of Research and Publication Innovation
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Penyakit Virus Corona 19 (COVID-19) adalah penyakit menular yang disebabkan oleh virus corona yang baru-baru ini ditemukan. Saat ini, COVID-19 menjadi permasalahan yang signifikan bagi kita semua, namun hingga saat ini belum ditemukan obat yang efektif untuk mengatasinya. Salah satu masalah lainnya adalah deteksi infeksi pada individu. Metode pendeteksian COVID-19 saat ini, seperti PCR Swap, dianggap masih lambat, sementara Rapid Tes dianggap kurang dapat dipercaya berdasarkan beberapa kasus sebelumnya. Penelitian ini bertujuan untuk mengembangkan metode yang lebih cepat dan akurat dalam pendeteksian individu yang terinfeksi COVID-19 dengan menggunakan Artificial Intelligence, khususnya dengan menggunakan arsitektur Convolutional Neural Network (CNN) dalam pembelajarannya. Metode penelitian yang digunakan dalam studi ini adalah literature review, di mana artikel-artikel terkait dikumpulkan dan diproses menggunakan aplikasi Mendeley. Kriteria yang digunakan dalam seleksi artikel adalah artikel yang diterbitkan pada tahun 2020 yang membahas penggunaan Artificial Intelligence dalam penanganan COVID-19. Berdasarkan pengumpulan dan pembahasan beberapa penelitian yang ada, dapat disimpulkan bahwa dengan menggunakan sistem Artificial Intelligence, deteksi infeksi COVID-19 pada individu dapat dilakukan melalui analisis pola pada hasil CT Scan Paru dengan tingkat akurasi yang tinggi, menggunakan data latih yang telah ada.