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All Journal TEKNIK INFORMATIKA Jurnal Penelitian Komunikasi dan Opini Publik Jurnal Fisika FLUX InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JOIV : International Journal on Informatics Visualization Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan Komunikasi Jurnal Elektronika dan Telekomunikasi Jurnal Komunika : Jurnal Komunikasi, Media dan Informatika MULTINETICS Jurnal Teknologi Informasi dan Terapan (J-TIT) Journal of Robotics and Control (JRC) Jurnal Abdi Insani Mitra Akademia: Jurnal Pengabdian Masyarakat Mejuajua JURNAL POLI-TEKNOLOGI Presisi Jurnal Pengabdian Masyarakat Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Prihatin Oktivasari
Politeknik Negeri Jakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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KAJIAN NETWORK MONITORING SYSTEM MENGGUNAKAN NAGIOS DENGAN WHATSAPP SEBAGAI NOTIFIKASI ALERT Prihatin Oktivasari; Tubagus Habibullah
KOMUNIKA : Jurnal Komunikasi, Media dan Informatika Vol 6, No 3 (2017): KOMUNIKA
Publisher : BPSDMP KOMINFO Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (931.826 KB) | DOI: 10.31504/komunika.v6i3.1173

Abstract

Salah satu tujuan dibuatnya Network Monitoring System adalah agar network administrator dapat selalu memantau seluruh kegiatan perangkat penting dari jaringan komputer seperti router, switch, komputer client, dan lain-lain. Nagios merupakan salah satu aplikasi open source untuk network monitoring dan memiliki banyak plugins yang dapat digunakan untuk memaksimalkan proses monitoring perangkat jaringan yang ada. Beberapa fitur yang dimiliki Nagios seperti monitoring, alert, report, memantau resource CPU load, memory, status up/down, up time, data traffic, bandwidth dari perangkat. Nagios sendiri dapat dikonfigurasi sesuai dengan kebutuhan. Salah satu fitur penting dalam Network Monitoring System adalah notifikasi alert, yaitu sistem pemberitahuan notifikasi kepada kontak network administrator jika sistem mendeteksi adanya permasalahan pada host maupun service. Pemberitahuan notifikasi dirancang menggunakan WhatsApp messenger. Pengujian sistem dilakukan dengan menguji fungsionalitas kinerja sistem Nagios. Dari hasil pengujian didapatkan bahwa Nagios dapat mendeteksi perubahan status dengan selang waktu interval 5 menit untuk hosts dan 10 menit untuk services, notifikasi alert dapat terkirim kepada Group Telegram dengan selang waktu rata-rata 5-10 menit setelah Nagios mendeteksi adanya perubahan status down/recovery, dan Event Handler dapat melakukan restart terhadap services yang gagal fungsi dengan rata-rata waktu aksi 2 menit. Hal ini membuktikan bahwa Nagios dapat memonitoring perangkat dan services pada jaringan dengan baik sesuai dengan konfigurasi yang telah dilakukan.
IMAGE PROCESSING WARNA UNTUK PROSES INTERUPSI LED PADA LAMPU LALU LINTAS BERBASIS OPEN CV Prihatin Oktivasari; Erwin Ardiansyah
KOMUNIKA : Jurnal Komunikasi, Media dan Informatika Vol 6, No 2 (2017): KOMUNIKA
Publisher : BPSDMP KOMINFO Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1462.852 KB) | DOI: 10.31504/komunika.v6i2.1172

Abstract

Lampu lalu lintas merupakan alat yang digunakan untuk mengatur kendaraan bermotor pada sebuah persimpangan jalan agar tidak terjadi kemacetan dan arus kendaraan dapat berjalan dengan baik dan lancar. Kemacetan lalu lintas bisa menyebabkan pengurangan efisiensi waktu dan biaya. Kendaraan darurat seperti ambulan, pemadam kebakaran dan kendaraan polisi yang akan melintasi lampu lalu lintas juga pasti akan terhambat di perjalanan untuk melakukan pertolongan darurat ke tempat tujuan. Dalam penelitian ini, dilakukan perancangan sistem cerdas pengaturan lampu lalu lintas untuk kendaraan darurat dengan menggunakan image processing berbasis OpenCV dan phyton programming. Citra yang diolah berupa objek warna contessa. Sistem ini memiliki delay yang sangat kecil dalam pergerakan objek yang lamban, sehingga dapat bermanfaaat bagi kendaraan darurat seperti ambulan, pemadam kebakaran dan kendaraan kepolisian agar tidak terjebak kemacetan pada persimpagan traffic light. Kondisi maksimum citra warna contessa yang dapat ditangkap terbaik oleh kamera dan sistem berjalan optimal yaitu pada jarak maksimum 90 cm, intensitas cahaya 9600 lumen dengan delay untuk proses interupsi LED berubah warna hijau adalah 0 detik.
A Multimodal Model of ECG and Heart Sound Signal by Considering Normal and Abnormal Heart Prihatin Oktivasari; Freddy Haryanto; - Suprijadi
JOIV : International Journal on Informatics Visualization Vol 6, No 4 (2022)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.4.1220

Abstract

Analysis of the opening and closing of heart valves and the movement of blood flow in the heart are important in the domain of early detection of heart conditions. To build this correlation model, multimodal signals from electrocardiography and stethoscope are needed. Multimodal signaling was performed using primary data with the same sampling at 10 seconds by recording the PQRST heart signal in the lying position using electrocardiography and the heart sound in the sitting position using an electronic stethoscope. Experimental results showed that the number of R peaks is the same as the number of S1 sound peaks, and also the number of T peaks with the number of S2 sound peaks, so it can be concluded that there is a regular signal pattern relationship between S1-S2 and the RT wave, namely the relationship at the end of the first peak of the QRS wave. The cardiac signal due to ventricular depolarization (ventricular contraction), the appearance of an S1 heart sound, and the association of the end of the next peak of the T wave of cardiac signals indicate ventricular repolarization and the appearance of an S2 heart sound. This is consistent with the fact that electrical events in cardiac activity occur before mechanical events in normal heart conditions. Based on the study of HRV parameters, heart sound signals can be used to determine HRV parameters. The results show the same number of peaks in normal hearts, while in abnormal hearts, there are differences in results because abnormal heart conditions have an erratic rhythmic pattern.
IMPLEMENTASI INTRUSION DETECTION SYSTEM (IDS) SURICATA DAN MANAGEMENT LOG ELK STACK UNTUK PENDETEKSIAN KEGIATAN MINING Ayu Rosyida Zain; Prihatin Oktivasari; Nur Fauzi Soelaiman; Faiz Watsiqul Umam
Jurnal Poli-Teknologi Vol. 22 No. 1 (2023)
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/pt.v22i1.4974

Abstract

IDS (Intrusion Detection System) merupakan salah satu metode keamanan jaringan komputer yang ingin melindung komputer dalam sebuah jaringan. Pada penelitian ini dibuat implementasi sistem IDS menggunakan Suricata dan management log ELK Stack. Dimana Suricata merupakan salah satu IDS engine yang mempunyai kelebihan lebih mudah dalam konfigurasi rules dan management log ELK Stack dapat mempermudah dalam monitoring keamanan jaringan. Pengujian dan analisis dilakukan terhadap implementasi sistem IDS Suricata dan management log ELK Stack, meliputi Funcional Test, Response Time, Detection Rate, dan memory usage akibat kegiatan web mining.  Suricata berhasil mendeteksi terhadap serangan dan juga kegiatan web mining serta menampilkannya pada interface berbasis Web ELK Stack. Kata Kuncis: IDS, Suricata, ELK Stack, Mining
Development of Intelligent Door Lock System for Room Management Using Multi Factor Authentication Indra Hermawan; Defiana Arnaldy; Prihatin Oktivasari; Dimas Aulia Fachrudin; Risma Nuraini; Nisrina Tsany Sulthanah
JURNAL TEKNIK INFORMATIKA Vol 16, No 1 (2023): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v16i1.29045

Abstract

Keys play an important role in a security system. Most room door security systems still use conventional door locks, especially in room management applications. Room management with conventional keys has several problems, such as long key searches for each loan, and easily lost and duplicated. Therefore, the authors propose a door lock system that is capable of automating room door control and supervision via the internet network. Research that has been done previously uses single factor authentication (SFA). This technology is less secure for the authentication process for parties/users who want to access the room. This research proposes that a system with multi factor authentication (MFA) aims to protect the system from unauthorized users. The MFA concept will be implemented by validating the physical token on the RFID card and the security code or PIN entered by the user. MFA also increases the level of security and allows the implementation of identification, verification and authentication to ensure user authority. The results of this study are system prototypes that can work well, the system can be realized using backend services using expressjs and data stored in cloud services that can be accessed anytime and from anywhere by the client. The system can also be realized using a combination of nodejs, expressjs, PostgreSQL and esp32 client technologies. The validation process at check-in can occur within 207ms. The server is reliable enough to execute 500 requests simultaneously. Overall, the system has worked well for room management.
Pemberdayaan Masyarakat Melalui Pengelolaan Sampah Di Bank Sampah Kampung Pulo Kelurahan Tapos Kota Depok prihatin oktivasari; Gun Gun Ramdlan Gunadi; Ayu Rosyida Zain
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Vol. 1 No. 4 (2022): Desember : Jurnal Hasil Pengabdian Masyarakat Indonesia
Publisher : Fakultas Teknik Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/karunia.v1i4.298

Abstract

Dilema keberadaan Bank Sampah Kampung Pulo yang berada di Tapos, Depok, Provinsi Jawa Barat, dengan kondisi hanya berfungsi setiap kali dalam seminggu, dan hanya segelintir warga yang sadar akan keberadaan bank sampah ini. Adapun banyaknya warga yang sudah berumah tangga disana lebih memilih membakar sampah rumah tangga di pekarangan rumah dengan menumpuknya terlebih dahulu. Hal ini menyebabkan gangguan kesehatan dari asap pembakaran sampah, dan juga dari bau sampah yang menggunung, maupun beredarnya lalat di pekarangan warga. Melalui Program pengabdian prodi Teknik Multimedia dan Jaringan, Politeknik Negeri Jakarta ini, dengan pelaksana para mahasiswa Politeknik Negeri Jakarta, Jurusan Teknik Informatika, melakukan Pemberdayaan masyarakat melalui pengelolaan sampah di bank sampah kampung pulo kelurahan tapos kota depok. Kegiatan ini dibuat untuk membantu para karang taruna dan penggerak bank sampah agar mengembangkan pogram bank sampah mereka menjadi lebih efisien dalam mendata hasil sampah yang dikumpulkan, untuk dapat diproses lebih lanjut. Selain itu program pengabdian juga melaksanakan sosialisasi kepada warga Kampung Pulo dalam bentuk pelatihan untuk kesadaran memilah sampah, dan membawa ke bank sampah untuk ditabung.
PEMANFAATAN TEKNOLOGI INFORMASI DI BANK SAMPAH KAMPUNG RAMAH LINGKUNGAN KAMPOENG BERSERI, KECAMATAN CILEUNGSI, KABUPATEN BOGOR Iik Muhamad Malik Matin; Ratna Widya Iswara; Dinda Kadarwati; Prihatin Oktivasari; Ayu Rosyida Zain; Maria Agustin; Defiana Arnaldy; Indra Hermawan
Jurnal Abdi Insani Vol 11 No 2 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i2.1285

Abstract

Program bank sampah di KRL Kampoeng Berseri merupakan upaya pemanfaatan sampah sebagai nilai ekonomi. Namun pengelolaan tabungan yang masih dilakukan secara manual sehingga petugas dirasa sulit ketika warga tidak membawa catatan. Akibatnya, tabungan yang terkumpul diambil saat itu juga sehingga warga disekitar kurang mendapatkan manfaat. Hal ini menyebabkan antusias nasabah bank sampah di Kampoeng Berseri menurun sehingga program bank sampah tidak berjalan secara optimal. sehingga perlu diterapkan teknologi informasi. Untuk itu, diterapkan teknologi informasi untuk pengelolaan tabungan sampah dan memberikan pelatihan teknologi informasi pengelolaan tabungan sampah pada pengurus bank sampah sebagai pengelola dan warga lingkungan KRL Kampoeng Berseri. Kegiatan Pengabdian ini dimulai dari persiapan dengan identifikasi masalah, menentukan solusi dan pengembangan aplikasi. Kemudian pelaksanaan yang teridri dari hibah dan pelatihan pada mengurus bank Sampah dan warga sekitar desa Limus Nunggal. Terakhir, evaluasi untuk mengukur hasil kegiatan pengabdian masyakarat. Berdasarkan hasil survei menunjukan pelaksanaan pengabdian dapat menigkatkan ketertarikan warga dalam menggunakan aplikasi. Selain itu warga juga menyatakan kegiatan pengabdian kepada masyarakat ini memiliki manfaat yang baik dan dapat diterapkan dalam kehidupan sehari-hari dan setuju untuk melanjutkan program pengabdian ini dimasa yang akan dating. Program pengabdian masyarakat berhasil memperbaiki pengelolaan tabungan sampah dengan teknologi informasi dan meningkatkan partisipasi serta dukungan warga untuk program tersebut.
Hyperparameter Tuning Impact on Deep Learning Bi-LSTM for Photovoltaic Power Forecasting Sutarna, Nana; Tjahyadi, Christianto; Oktivasari, Prihatin; Dwiyaniti, Murie; Tohazen, Tohazen
Journal of Robotics and Control (JRC) Vol 5, No 3 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i3.21120

Abstract

Solar energy is one of the most promising renewable energy sources that can reduce greenhouse gas emissions and fossil fuel dependence. However, solar energy production is highly variable and uncertain due to the influence of weather conditions and environmental factors. Accurate forecasting of photovoltaic (PV) power output is essential for optimal planning and operation of PV systems, as well as for integrating them into the power grid. This study develops a deep learning model based on Bidirectional Long Short-Term Memory (Bi-LSTM) to predict short-term PV power output. The main objective is to examine the effect of hyperparameter tuning on the forecasting accuracy and the actual PV output power. The main contribution is identifying the optimal combination of hyperparameters, namely the optimizer, the learning rate, and the activation function, for the PV output. The dataset consists of 143786 observations from sensors measuring solar irradiation, PV surface temperature, ambient temperature, ambient humidity, wind speed, and PV power output for 50 days in Bandung, Indonesia. The data is preprocessed by smoothing and splitting into training (70%, 35 days), validation (15%, 7.5 days), and testing (15%, 7.5 days) sets. The Bi-LSTM model is trained and tested with two optimizers: Adam and RMSprop, and three activation functions: Tanh, ReLU, and Swish, with different learning rates. The results indicate that the optimal performance is obtained by the Bi-LSTM model with Adam optimizer, learning rate of 〖1e〗^(-4), and Tanh activation function. This model has the lowest MAE of 0.002931070979684591, the lowest RMSE of 0.008483537231080387, and the highest R-squared of 0.9988813964105624 when tested with the validation dataset and requires 93 epochs to build. The model also performs well on the test dataset, with the lowest MAE of 0.002717077964916825, the lowest RMSE of 0.007629486798682186, and the highest R-squared of 0.9992563395109665. This study concludes that hyperparameter tuning is a vital step in developing the Bi-LSTM model to improve the accuracy of PV output power prediction.
Nutrition, pH, Temperature, and Humidity Monitoring Hydroponics System based on Android Oktivasari, Prihatin; Pasai, Muda Wali Samudra; Mustofa, Mustofa; Royhan, Royhan; Kurniawan, Asep
Jurnal Elektronika dan Telekomunikasi Vol 24, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.585

Abstract

Agriculture plays a very important role in the lives of Indonesian people. With technological advances and the increasing limitation of agricultural land, the patterns of matching crops in societies have changed. Innovations have been implemented, one of which is the use of technology such as hydroponic systems. One of the main factors that influence the success of hydroponic methods is temperature and humidity. The research aims to design and develop an autonomic control system that uses Fuzzy Logic to regulate the temperature and moisture of hydroponic plants, as well as to design the control of the nutrition and pH supply of hydrogen plants. Hydroponics plant control systems are implemented using microcontrollers and DHT22, TDS sensors, and pH sensors. In addition, an Android-based interface has been developed to monitor and control the system remotely via an internet connection. In this study the accuracy of the TDS sensor is 96.5%, the pH sensor was 98.19%, and the precision of the Fuzzy logic system at temperature and humidity is 100%
Pembudidayaan Maggot untuk Olah Sampah Rumah di Desa Pasir Angin Kecamatan Mega Mendung, Bogor Oktivasari, Prihatin; Sucita, I ketut; Kurniawan, Asep; Rosyidah, Anis
Presisi Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2024): 2024
Publisher : PT. Lancar Media Komunikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The potential for waste in West Java is very large. The average amount of waste production in 27 districts/cities of West Java in 2023 will be 2200 tons per day. The largest waste composition based on type of waste is food waste, and the largest waste composition based on source is household waste. Therefore, household waste processing is increasingly being encouraged in Bogor Regency through community empowerment. Household waste can be managed using maggots. Maggot cultivation training by resource persons was carried out offline and was attended by 20 participants consisting of residents and village stakeholders. Maggot cultivation being developed is dry maggots, live maggots and maggot eggs. The PNJ Lecturer Team, which collaborates between ICT KBK IoT-network and KBK Civil Engineering construction management, is making efforts to develop knowledge of waste management by providing facilities to manage household waste using Maggot cultivation.
Co-Authors ABN, Kemal Ade Agung Harnawan, Ade Agung Anis Rosyidah Annisa Intan Fadila Asep Kurniawan Ayu Rosyida Zain Ayu Rosyida Zain Ayu Rosyida Zain Calista Bertha Rucita Defiana Arnaldy Defiana Arnaldy Defiana Arnaldy Desi Dyah Sulistyarini Dimas Aulia Fachrudin Dinda Kadarwati Dwi Irawati Erwin Ardiansyah F, Frally Fadila, Annisa Intan Faiz Watsiqul Umam Fitri, Rahmah A. Fityan Aula Juyuspan Freddy Haryanto Gunadi, Gun Gun Ramdlan HM, Ahmad I Ketut Sucita Iik Muhamad Malik Matin INDRA HERMAWAN Malaon, Sungguh I. Malik Matin, Iik Muhamad Maria Agustin MURIE DWIYANITI1 Mustofa Mustofa Nana Sutarna Nisrina Tsany Sulthanah Nur Fauzi Soelaiman Pasai, Muda Wali Samudra PPN, Dwiyan Rahmah A. Fitri Ratna Widya Iswara Ratna Widya Iswara, Ratna Widya Reza Kamaluddin Isman Riandini Riandini Riandini, Riandini Rinaldi Sanjaya Risma Nuraini Royhan, Royhan Rucita, Calista Bertha Sanjaya, Rinaldi SS, Muhammad Suhandana, Ariawan Andi Sungguh I. Malaon Suprijadi Suprijadi Suprijadi Suprijadi Tjahyadi, Christianto Tohazen, Tohazen Tubagus Habibullah wirawan, chandra Zain, Ayu Rosyida Zufar Fathi Suhardi