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Jurnal Informatika: Jurnal Pengembangan IT
Published by Politeknik Harapan Bersama Tegal
ISSN : 24775126     EISSN : 25489356     DOI : https://doi.org/10.30591
Core Subject : Science,
Computer Science & IT
The scope encompasses the Informatics Engineering, Computer Engineering and information Systems., but not limited to, the following scope: 1. Information Systems Information management e-Government E-business and e-Commerce Spatial Information Systems Geographical Information Systems IT Governance and Audits IT Service Management IT Project Management Information System Development Research Methods of Information Systems Software Quality Assurance 2. Computer Engineering Intelligent Systems Network Protocol and Management Robotic Computer Security Information Security and Privacy Information Forensics Network Security Protection Systems 3. Informatics Engineering Software Engineering Soft Computing Data Mining Information Retrieval Multimedia Technology Mobile Computing Artificial Intelligence Games Programming Computer Vision Image Processing, Embedded System Augmented/ Virtual Reality Image Processing Speech Recognition
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 431 Documents
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Embedded Wids Kismet Sebagai Perangkat Deteksi Serangan Data Link Layer Wi-Fi Access Point Fachrurozy, Rizky; Setiadji, Muhammad Yusuf Bambang; Priambodo, Dimas Febriyan
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 1 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i1.4551

Abstract

The rapid development of wireless network technology has an impact with a significant increase of users. Wi-Fi is one of the wireless technologies that is currently used widely by humans as a medium of transmission to exchange information. The increasing in the number of users is directly proportional to the increase the risk of crime occurring. In this case an attack on a Wi-Fi network aimed at taking certain advantage of the user or it’s victim was done by threatening aspects of information security. Wireless Intrusion Detection System (WIDS) is a tool used to detect intrusions that occur against wireless network technology, one of it is Wi-Fi into the form of logs. Kismet is one of the wids that is free and opensource with complete WiFi attack detection capability. The implementation of WIDS Kismet applied to Raspberry Pi 4 was shown as an alternative wids device that has a low cost for use in small Wi-Fi network environments such as home networks or small enterprise. The analysis is done by calculating the performance of accuracy, precision, recall, and f-measure values from the implementation results using confusion matrix method. The result of the calculation obtained by the highest value for each calculated performance with 99.83% accuracy, 97.96% precision, 100% recall, and 98.9% fmeasure. The calculation aims to provide information that can be utilized for users who want to do a similar implementation and use it to detect Wi-Fi networks. 
Pemanfaatan Narrowband IoT (NB-IoT) dalam Peningkatan Produktivitas Peternakan melalui Monitoring Otomatis Rakhman, Arif; Sutanto, Achmad; Hernowo, Rudi
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 3 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i3.5824

Abstract

The rapid advancements in Narrowband IoT (NB-IoT) technology present significant opportunities for creating innovative products that can be implemented in daily life. One of these innovative products is the utilization of NB-IoT for monitoring cage conditions, maintenance, and boosting livestock productivity under challenging conditions that are difficult to manually control. This study aims to design an automated system capable of maintaining ideal cage conditions, including temperature, humidity, levels of ammonia (NH3 and CO2), as well as providing feed/water to livestock automatically and periodically. The research methodology involves the integration of various sensors mounted on a microcontroller, such as temperature sensors, humidity sensors, ammonia sensors, water level sensors, and pH sensors. The program executed by this microcontroller is connected to a control panel, and through the internet network, control and monitoring can be carried out using mobile and desktop devices. The test results indicate that this system is capable of providing ease in controlling the chicken coop for owners and workers, maintaining poultry health, and increasing livestock product yields from 97.17% of harvested poultry to 98.263%, with a decrease in the mortality rate from 2.830% to 1.737%. Overall, the utilization of NB-IoT technology in this research provides a positive impact on livestock management, offering an automated solution that enhances efficiency and productivity in the agricultural sector.
Penerapan Metode Waterfall Pada Desain Sistem Informasi Geografis Industri Kabupaten Tegal Ginanjar Wiro Sasmito
Jurnal Informatika: Jurnal Pengembangan IT Vol 2, No 1 (2017): JPIT, Januari 2017
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v2i1.435

Abstract

Kabupaten Tegal memiliki berbagai industri yang tersebar di 18 Kecamatan, industri-industri tersebutlah yang dapat menopang laju perekonomian pada Kabupaten Tegal. Pemerintah Kabupaten Tegal dalam melakukan pendataan industri tersebut masih mengandalkan sensus yang dilakukan secara manual. Data yang ditampilkan dari hasil sensus tersebutpun masih tersentral dipublikasikan oleh Badan Pusat Statistik (BPS) dan informasinya hanya berupa tabel-tabel tanpa visualisasi yang menarik. Kurangnya informasi industri yang disampaikan kepada masyarakat, menyebabkan industri-industri yang ada di Kabupaten Tegal kurang dikenal oleh masyarakat luas sehingga pangsa pasar industri Kabupaten Tegalpun tidak maksimal, disamping itu juga peluang untuk mendapatkan investor guna pengembangan usahapun menjadi terbatas. Sistem Informasi Geografis merupakan sistem komputer yang dapat merekam, menyimpan,  menulis, menganalisis dan menampilkan data geografis. Dengan menggunakan metode Waterfall maka rancangan sistem informasi geografis dapat memberikan informasi mengenai profil industri, jenis produksi, nilai investasi, peta industri dan lokasi industri disetiap desa maupun kecamatan yang ada di kabupaten Tegal.
Algoritma Deep Learning dalam Memprediksi Hasil Panen Padi di Kabupaten Lamongan Retno Wardhani; Nur Nafiiyah; Muhammad Ali Haydar
Jurnal Informatika: Jurnal Pengembangan IT Vol 7, No 1 (2022): JPIT, Januari 2022
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v7i1.2581

Abstract

Based on data, bps.go.id harvest from the 2nd year 018 to 2019 decreased about an 7.76%. The government must constantly analyze the rice yields of farmers in Indonesia to determine whether these crops can meet the Indonesian people's primary food needs. Research this will predict rice yields in Lamongan. This study aims to assist the government in overcoming the occurrence of significant food shortages in Lamongan. A system that can be used as a reference tool to assist in policy or rule in the district Lamongan. This research proposes deep learning algorithms to predict the harvest based on the land area (m2), spacing (cm), the type of rice, the number of times to fertilize, fertilizer, and crop yields (quintals). The dataset used in the study was collected through questionnaires. Questionnaires were distributed via a google form and contained as many as 390 rows of data. Some of the data produced were incorrect, so the processing was carried out. The results of data processing, the data that can be used are 380 rows. The proposed architectural model's test results show that the loss values of MSE, MAE, or MAPE are the same. The MSE, MAE, and MAPE values are 2939977.418, 301,788, and 83,798, respectively.
Penerapan Intelligence System berbasis Case Base Reasioning dan Metode K-Nearest Neighbor Untuk Identifikasi Gangguan IT Support Muhamad Dedi Suryadi; Sahlan Sahlan; Ndaru Ruseno
Jurnal Informatika: Jurnal Pengembangan IT Vol 4, No 2-2 (2019): Special Issue on Seminar Nasional - Inovasi Dalam Teknologi Informasi & Teknol
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v4i2-2.1868

Abstract

Delay in handling and solving IT problems both hardware / software greatly affects the company's business processes. Sometimes, IT helpdesk personnel still difficult to find solutions and make decisions to solve IT problems. This is because there is currently no system that can help IT Helpdesk personnel in finding solutions to be able to solve the problems being faced quickly and accurately. When going to look for solutions to the problems being faced can not display solutions that are appropriate or close to the existing historical data. In identifying IT problems, the authors use case-based reasoning or Case-Based Reasoning (CBR) by carrying out the process of finding the case with the highest proximity and proximity measurement using the K-Nearest Neighbor (k-NN) algorithm. This study aims to explain the application of Case-Based Reactioning (CBR) and K-Nearest Neighbor (k-NN) Algorithm to identify IT problem disturbances. The results showed that the application of Case-Based Reasioning and K-Nearest Neighbor (k-NN) Algorithm after being tested by 5 Experts got accurate results.
Implementasi Traveling Salesman Problem pada Pemilihan Jalur ATM Locator Menggunakan Ant Colony Optimization Danang Wahyu Utomo; Defri Kurniawan; Novita Kurnia Ningrum
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 1 (2021): JPIT, Januari 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i1.2265

Abstract

Permasalahan utama Traveling Salesman Problem adalah penentuan solusi optimal dari beberapa jalur yang ditentukan. Pemilihan jalur ATM locator memiliki permasalahan yang sama dalam pemilihan jalur yang optimal. Penempatan ATM di berbagai titik lokasi dapat menyebabkan banyaknya kemungkinan pencarian lokasi ATM tersebut. Pengguna harus menelurusi jalur – jalur yang mungkin menjadi jalur terdekat dalam pencarian ATM locator. Berdasarkan permasalahan tersebut, penelitian ini mengusulkan Ant Colony Optimization (ACO) dalam menemukan solusi optimal pemilihan jalur optimal ATM locator. ACO adalah algoritma swarm intelligence yang mampu menyelesaikan masalah kombinasi tur pada TSP. pada tahap eksperimen, representasi titik lokasi ATM locator menggunakan koordinat latitude dan longitude. Penghitungan jarak antar titik lokasi menggunakan formula Haversine. Parameter τ0 yang digunakan adalah 0.5, 0.7 dan 0.9. parameter pheromone untuk menguji pemilihan jalur terdekat dan kebutuhan biaya yang sedikit. Eksperimen membuktikan bahwa ACO menemukan solusi optimal jalur terdekat dan biaya yang sedikit dengan pengaturan parameter a = 1, b = 2, ρ = 0.5, dan τ0 = 0.5.Level pheromone 0.5 mampu menemukan jalur terpendek 34.30 dibandingkan level pheromone 0.7 dan 0.9 dengan hasil 38.96 dan 39.05. level pheromone 0.5 juga menemukan kebutuhan biaya yang sedikit dibandingkan 0.7 dan 0.9.
Aplikasi Berita Online Berbasis Android: Studi pada Pemerintah Kabupaten Labuhanbatu D.Leo Surya Duha; Sumitro Sarkum; Ibnu Rasyid Munthe; Iwan Purnama
Jurnal Informatika: Jurnal Pengembangan IT Vol 3, No 3 (2018): JPIT, September 2018
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v3i3.963

Abstract

Designing an Android-based News application using UML (Unified Modeling Language) that is implemented using Android Studio, while the Android Application uses PHP and MySQL Programming for the database. The programming used is Android-based programming using a MySQL database for php script creation. The results showed that the Android-based news application as a news data processing process that occurred in Labuhanbatu Regency could be done quickly, efficiently and economically; Then the results also show that processing news data from online media on the application facilitates work processes that can improve agency performance.
Klasifikasi Daya Tarik Konten Artikel Media Daring Dari Data Google Analytics Dengan C-FDT Erlin Windia Ambarsari
Jurnal Informatika: Jurnal Pengembangan IT Vol 3, No 2 (2018): JPIT, Mei 2018
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v3i2.876

Abstract

Information of article which had attractive contains as Trending Topics, although this is article hoax or not. The frequency of article's content which created by online media, it can be monitored by Google Analytics. One of the reasons for using Google Analytics is to understand the content of a site which leads to the change and behavior of behind the content. Google Analytics can be regarded as web analytics software with ease of installation. Classification of Google Analytics data with C-Fuzzy Decision Tree (C-FDT), aims to get the attraction of article content, which means having special attention from visitors and the article can be interesting or not, and observed whether C-FDT can recognize patterns from metric data Google Analytics. The purpose of this study is the results of FDT are expected to facilitate online media managers to analyze the content of articles and evaluate content groups tend to potentially gain traffic for getting promotional or marketing advertising as revenue from online media sites. The results obtained are C-FDT can recognize the pattern of Google Analytics metrics thus as facilitating the search of the article content into a simple form that is the reduction of attributes by grouping data with the same object and the data had Pruning. Online media managers can focus on certain attributes that have a big effect on Content Articles. However C-FDT is having trouble dealing with data sync due to system errors when retrieving data from Google Analytics. Therefore it is necessary to monitor data in time series.
Identifikasi Tumor Otak Citra MRI dengan Convolutional Neural Network Nafiiyah, Nur
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 3 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i3.4985

Abstract

The science of artificial intelligence and computer vision is beneficial in facilitating the detection of diseases in the medical field. Computer-based disease detection can save time. However, identifying and detecting tumors on MRI images require seriousness and is time-consuming. Due to the diversity of structures in size, shape, and intensity of the image, accuracy is needed in identifying the original organ structure and the diseased one. Previous studies have proposed a method for identifying brain tumors to produce the correct precision. In previous studies, neural network-based methods have good accuracy. We present five Convolutional Neural Network (CNN) architectures for identifying brain tumors (glioma, meningioma, no tumor, and pituitary) on MRI images. This study aims to develop an optimal CNN architecture for identifying tumors. We use the dataset from Kaggle with a total training data of 5712 and testing of 1311. Of the five proposed CNN architectures, architecture c has the highest accuracy of 82.2% with an unlimited number of parameters of 29605060. A good CNN architecture has many convolution layers. We also compare the proposed architecture with CNN transfer learning (Inception, ResNet-50, and VGG16), and with CNN transfer learning architecture, the accuracy is higher than our proposed architecture.
E-PILKOTES SMK KARYA BHAKTI BREBES Mentari Arsita Putri; Dyah Apriliani
Jurnal Informatika: Jurnal Pengembangan IT Vol 1, No 2 (2016): JURNAL INFORMATIKA
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v1i2.390

Abstract

Voting adalah kegiatan yang sangat menentukan pada saat perhelatan pemilihan, persoalan yang menjadi fokus perhatian bagi panitia penyelenggara pemilihan adalah bagaimana proses pemungutan suara dapat menjamin azas langsung, umum, bebas, dan rahasia serta bagaimana hasil perhitungan suara dapat berlangsung jujur transparan, dan dapat diakses oleh publik. Salah satu kegiatan yang belum tersentuh teknologi yaitu proses opemilihan ketua organisasi siswa intra sekolah (OSIS), disekolah – sekolah semua prosesnya kebanykaan masih dilakukan secara manual, hal ini dirasa kurang efektif dengan berkembangnya teknologi sekarang ini. Untuk memnuhi hal tersebut maka dibangun sebuah aplikasi e-voting berbasis web php. Sistem ini dibangun menggunakan software macromedia dreamweaver dan dngan menggunakan bahasa pemrograman php. Sistem ini menggunakan browser untuk melaksanakan voting diharapkan akan memeberikan hasil voting yang akurat, cepat, dan terpercaya serta bisa mengurangi angka siswa yang tidak memilih dan tidak akan mengganggu proses belajar mengajar. Kata Kunci: e-voting, Aplikasi, PHP

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