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Pemanfaatan Teknologi Smart Farming & Intelligent Imaging untuk Meningkatkan Sikap dan Kesadaran Konservasi Area Perkebunan Kopi Feri Sulianta; Ari Purno Wahyu
Journal of Information Technology Vol 1 No 1 (2019): JoinT (Journal of Information Technology)
Publisher : LPPM STMIK AMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47292/joint.v1i1.7

Abstract

Indonesia merupakan negara agraris yang sebagian besar masyarakatnya hidup dan bekerja dengan bercocok tanam, sejak zaman kolonial Belanda daerah di Indonesia khususnya Jawa Barat telah menjadi daerah lumbung dan area penghasil perkebunan utama seperti teh, kopi, dan coklat. Sehingga munculah daerah penghasil produk perkebunan unggulan sebagai contoh daerah Pangalengan, Garut, dan daerah di kaki Gunung Ceremai dan Manglayang. Saat ini salah satu produk perkebunan yang diunggulkan adalah kopi Jawa Barat yang dikenal dengan Jave Preanger yang sudah terkenal sejak zaman Belanda. Perkebunan kopi di Jawa Barat terletak pada ketinggian 900-1400 dpl. Hal tersebut menyebabkan cita rasa kopi yang diolah menjadi unik dan memiliki rasa yang kaya. Masalah utama yang dihadapi saat ini adalah rusaknya area hutan tempat kopi tersebut ditanam karena area perkebunan yang berubah menjadi sarana pemukiman, faktor yang mempengaruhi adalah kendala cuaca dan rusaknya tanaman yang disebabkan oleh hama dan hewan penggangu. Hal yang paling penting adalah bagaimana masyarakat sekitar yang berinteraksi dengan area perkebunan membantu melestarikan dan menjaga ekosistem agar terciptanya keseimbangan, menjaga eksosistem bukan hanya menjadi tugas petani tapi masyarakat yang ada di area perkebunan. Pada zaman modern saat ini, implementasi dan pengawasan konservasi bisa menggunakan teknologi sistem Smart Farming, teknologi tersebut bisa dimanfaatkan untuk memonitoring lahan pertanian, keadaan tanah, dan jenis penyakit yang menyerang tanaman perkebunan di area tersebut. Sistem bisa dibuat secara mobile atau dibuat dengan menempatkan alat yang terkoneksi dengan sensor. Sistem ini memiliki akurasi ketepatan hingga 90% dalam ketepatan mendeteksi penyakit tanaman, dan sensor yang digunakan bisa digunakan untuk monitoring selama 24 jam.
Peningkatan Sistem Keamanan Parkir dengan Teknologi Artificial Intelligence Imaging Ari Purno Wahyu; Suhendri Suhendri; Heri Heryono
Journal of Information Technology Vol 1 No 2 (2019): JoinT: Journal of Information Technology
Publisher : LPPM STMIK AMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47292/joint.v1i2.9

Abstract

Parking space is a public facility available at an agency or office that serves to temporally store vehicles, the vehicle that enters the parking area is become tens or even thousands, because tahat reason parking system and management area is needed. Such arrangements able parking procedures and even other support systems such as adequate parking facilities and infrastructure, other functions is making and developing parking systems in general for provide security and comfort, bacause the condition vehicle will be well organized in terms of vehicle placement and security and safety can be used for 24 hours. Constraints this time increasing number of vehicles requires a wider parking area or space, the slow pace of vehicle data collection because the technology used is still carried out vehicle license plate validation manually, another problem is the placement of large areas, this limitation is based on the number of parking attendants in the field is very limited, so extra time are needed to arrange and check the vehicles that have entered the parking area. This problem can be handle using image processing and OCR algorithm techniques, this technique has been implemented in several developed countries that are used to manage they parking system, image processing is used to record and monitor the number of vehicles in the area by reading the number plate, scanning techniques using OCR (Optical Character recognition techniques) , data from a vehicle plate image is converted into text or numbers and can be stored inside database, data from the vehicle plate that has been stored is then matched with a vehicle photo, with help the system can be integrated with the camera so that the supervision of the parking area can be carried out directly for a long time, the system is able to display data visually.
Sistem Informasi Pemeriksaan Jalur Kereta Api Menggunakan Drone dan Teknik Image Processing Siti Mardiana; Dani Hamdani; M Benny Chaniago; Ari Purno Wahyu; Heri Heryono; Suhendri Suhendri
Journal of Information Technology Vol 2 No 1 (2020): JOINT: Journal of Information Technology
Publisher : LPPM STMIK AMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47292/joint.v2i1.002

Abstract

Train is the main mode of transportation that we often use, the train itself can be used as a tool for shipping goods and mobilizing passengers, this transportation is very unique and has its own path in the form of steel strings across from hundreds of kilometers, railroad bearing structures currently exist which uses concrete and wood, the railroad is very vital and is an important supporting facility. The process of railroad monitoring is complex and complicated, takes a long time, the previous method is simple and conventional by tracing the railroad tracks manually or using a geometric gauge mounted direl or also known as railpod, railpod will follow the rails and will provide report if there is a train track that is damaged, broken or shifted, this research will create an image-based monitoring system using drones as a track monitor, another way is to take pictures using satellite data that will provide clear information about road conditions before being passed by the train, the railroad data processing system by using image processing can display visual responses up to cm in size, the response appears if there is a shift in the path then the system directly provides data in the form of location and shifting paths on the main computer, this system is more c eTat in checking and analyzing train track data with high accuracy and precision up to 90%, in addition to imagery from satellite images can use drones, drones themselves are very easy in maintenance and use and are able to cut production costs and even workplace accidents in the field workers themselves can be avoided because the drone is able to reach the track and railroad that is difficult for example through the tunnel or the railroad track along the hills and densely populated.
Optimization Of Image Processing Techniques In Developing Of Smart Parking System Bagus Alit Prasetyo; ARI Purno Wahyu Wibowo; Suhendri Suhendri
Journal of Information Technology Vol 3 No 1 (2021): JOINT (Journal of Information Technology)
Publisher : LPPM STMIK AMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47292/joint.v3i1.47

Abstract

A parking system is currently a necessity and a common facility found in the campus area of ​​buildings and shops, the management and supervision of this parking lot generally uses third party assistance both in terms of technology and facilities used. At first the parking lot system was still conventional based by using guards in front of the gate and manually recording the entry and exit of the vehicle, a more sophisticated technology was using a camera that was combined with ticketing assistance, officers would check with photos when the car entered and left and strengthened with the use parking tickets, the two technologies have been implemented in many places, the weakness of the system is that there is a need for more than one operator to record and criminal acts will be difficult to detect if a type of vehicle of the same color is stolen because the data from the photos are indistinguishable, To solve this problem, a parking system was created with the help of image processing techniques by recording different types of vehicles even though they were of the same type and color, this system worked using computer vision algorithm rocks with a combination of OCR a Algorithm and surf algorithm, these two algorithms will help record vehicle number-plates while the surf algorithm will record the unique characteristics of the vehicle object in detail so that it will not be change.
Sistem Informasi Geografis Analisis dan Pemantauan Gempa (SIGAP) Ari Purno Wahyu Wibowo; Muhammad Arief Fahrizal
Journal of Information Technology Vol 4 No 1 (2022): JOINT (Journal of Information Technology)
Publisher : LPPM STMIK AMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47292/joint.v4i1.74

Abstract

Abstract- The existence of volcanoes that cover almost the entire archipelago in Indonesia has increased the vulnerability factor of Indonesia's territory. In addition, Indonesia's climatic conditions with high rainfall and a relatively long dry season have great potential for the Indonesian population to be subject to floods and even earthquakes that can cause landslides. To overcome this problem, an earthquake and natural disaster information system was created that can be used by the community or the government as a reference for carrying out preventive prevention processes before the disaster becomes more serious or spreads to other locations. This information system can’t only be used by the public to search for geographic information on earthquakes in Indonesia, even throughout the world, this geographic information system can also be implemented in an application platform in the form of a website to increase public awareness of the impact of earthquakes on how to overcome them.
The Role of Smarthome Technology for Improving Supply Chain and Perceived Value on Housing Retailer Bob Foster; Ari Purno Wahyu; Fitriani Reyta; Jumadil Saputra
International Journal of Supply Chain Management Vol 8, No 4 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1054.126 KB)

Abstract

Abstract- Smart building can be a procedure for developing supply chain in civil industry. The current type of housing in Indonesia is classified into several clusters and has varying prices, from prices of hundreds of millions to billions. For homes that have a price of millions, providing comfortable facilities,it is a must such as smart home systems that offer additional safety features, running by IoT (Internet of Things) technology where the owner can control and monitor via smartphones. This kind of system will certainly not be available on simple housing types or mortgages. To use this system, the owner or housing retailer will issue a large amount of cost used for the installation and installation. Some developer offered a smart home technology with a relativelyhigh price, which is around the price of 20 million to a dozen million IDR which not include the usual maintenance and installation of the system. This condition overcomes the problem that housing retailer often difficult to sell a house with extra smart home packages. Mostly, the onlyhigh-income consumer can buy a house with smart home features. This problem is the detailed background for this research that aims to design software of smart home that affordable, and to optimize the value of housing used the descriptive quantitative method with a waterfall system as a software development model. At the end reach purposed that the smart concept can be installed at home or housing so that not only owned by a high-end consumer but also with middle to lower consumption.
Menentukan Customer Segment dan Segment Pasar UMKM (Foodendez) Dengan Metode Decision Tree Baramukti Dewayana; Ari Purno Wahyu Wibowo
Jurnal Informatika Vol 8, No 2 (2021): September 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (206.764 KB) | DOI: 10.31294/ji.v8i2.10976

Abstract

AbstrakFoodendez adalah UMKM di bandung yang terkenal dengan produknya yaitu Uthi & Mies Krispi Kulit Ikan Patin yang menjadi produk best seller dari Foodendez. Usaha Foodendez ini sudah berjalan kurang lebih 5 tahun, Yang dimana Foodendez sudah mempunyai customer segment dan segment pasar sendiri, Akan tetapi Foodendez ini mempunyai sebuah masalah perihal memprediksikan customer segment dan segment pasar untuk penjualan produk dari Foodendez ini yang ternyata tidak sesuai ekspetasi yang diharapkan, dikarenakan dalam memprediksikan customer segment  dan segment pasar Foodendez masih menggunakan cara sederhana yaitu menggunakan prediksi awal dengan cara menebak perkiraan secara kasar yang diketahui hanya dari business plan yang menjadikan UMKM Foodendez ini kurang tepat dalam menentukan customer segment dan segment pasar yang mengakibatkan pengaruh terhadap omset Foodendez yang berubah - ubah secara tidak signifikan.Maka penulis memberikan solusi dengan adanya rancangan / skema Sistem Pendukung Keputusan yang menggunakan metode Decision Tree untuk menentukan customer segment serta segment pasar yang nantinya Foodendez akan mengetahui customer segment dan segment pasar lebih signifikan. Metode kegiatan yang akan digunakan adalah dengan cara mengumpulkan data dengan Metode Wawancara. Hasil dari kegiatan ini adalah sebuah rancangan / skema Sistem Pendukung Keputusan dengan metode Decision Tree yang dimana rancangan / skema tersebut adalah hasil penentuan customer segment / segment pasar yang lebih detail serta signifikan dan sesuai apa yang diinginkan oleh owner UMKM Foodendez. Kata Kunci : Decision Tree, Customer Segment, Segment Pasar.
Pendampingan Pengembangan Perpustakaan Digital Perwakilan BKKBN Jawa Barat Diah Sri Rejeki; Aminudin Aminudin; Ari Purno Wahyu Wibowo; Merryam Agustine; Haria Saputry Wahyuni; Egi Abinowi
Jurnal Inovasi Masyarakat Vol. 2 No. 1 (2022): Jurnal Inovasi Masyarakat
Publisher : LP2M Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1141.637 KB) | DOI: 10.33197/jim.vol2.iss1.2022.866

Abstract

Perpustakaan digital menawarkan kemudahan aksesibilitas bagi para penggunanya tanpa adanya batasan ruang dan waktu. Perpustakaan BKKBN perwakilan Jawa Barat menginisiasi kerjasama dengan prodi Perpustakaan & Sains Informasi dalam hal pengembangan perpustakaan digital. Berdasarkan analisis kebutuhan, maka pengabdian pada masyarakat dilakukan melalui kegiatan FGD (Focus Group Discussion) agar dapat ditemukannya solusi atas permasalahan yang ada. Kegiatan ini dihadiri dengan jumlah peserta sebanyak 17 orang yang terdiri dari perwakilan BKKBN, dosen prodi Perpustakaan dan Sains Informasi, dosen prodi Informatika dan mahasiswa Universitas Widyatama.
Sistem Pendukung Keputusan Untuk Menentukan Customer Segment Pasar Salah Satu UMKM Di Bandung ( Foodendez ) Dengan Metode Decision Tree Baramukti Dewayana; Ari Purnomo Wahyu Wibowo
Jurnal Informatika Upgris Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.9039

Abstract

 Abstract Foodendez is a UMKM in Bandung which is well known for its products, namely Uthi & Mies Krispi Patin Fish Skin which is a best seller product at Foodendez. This business has been running for about 5 years.In these 5 years Foodendez already has its own customer / market segment for the sale of this Foodendez product, however, this Foodendez has a problem predicting the customer / market segment for product sales from Foodendez, this is not suitable. expected expectations, because in analyzing / predicting customers / market segments still using a simple method or it can only be said to only use initial predictions by guessing roughly what estimates are known from the business plan or by other methods that make this Foodendez product get the wrong customer / segment that market It is expected that before hand or can be said to change and have an effect which makes Foodendez's turn over change insignificantly, and until recently Foodendez has not had a customer / market segment that is truly significant or as expected, for example is the sale of Krispi Patin Fish Skin that is predicted by the customer. the segment is more people > 18 years old but it turns out that < 18 years old people also like Krispi Patin Fish Skin products and offline and online sales where it is predicted that online sales will get a significant gain, which turns out to be more income in offline sales. So the authors provide a solution with the design / scheme of Decision Support Systems that will determine the customer segment and market segment which will later find out which market segment and customer segment are more significant and know which targets are suitable for products from Foodendez so that Foodendez UMKM can know what steps must be taken to set clear and significant targets by looking at the results of the percentage of enthusiasts and the turnover given by the Decision Tree method. The method of activities carried out is taken by collecting data with the interview method. The result of this activity is a Decision Support System design / scheme where the design / scheme is the result of determining a more detailed and significant customer segment / market segment and according to what the owner of Foodendez UMKM wants. Keywords: Decision Tree , Customer Segment , Market Segment , Foodendez , Uthi & Mies
DESIGN OF A PROTOTYPE OF WATER QUALITY PHYSICS MEASURING EQUIPMENT BASED ON MICROCONTROLLER Riky Arisandi; Ari Purno Wahyu Wibowo
JUMANJI (Jurnal Masyarakat Informatika Unjani) Vol 6 No 1 (2022): Jurnal Masyarakat Informatika Unjani
Publisher : Jurusan Informatika Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jumanji.v6i1.99

Abstract

Normal water temperature is the water temperature that allows living things to metabolize and reproduce. Temperature is a very important physical factor in water. The temperature and the substances/elements contained therein will determine the density, density and saturation of water. The water temperature will be different from one point to another or different based on a certain depth. The difference is caused by differences in geographical latitude and the position of a body of water with respect to the sun, causing the reception of solar radiation in each region to be different. Given the importance of clean water sources, it is necessary to have a monitoring system and read water quality so that it can be used and utilized for consumption and irrigation, so that in this study a micronotroller-based water monitoring system was created which was installed in water sources and watersheds, from the system it could be directly a water quality analysis process is carried out based on the pH and other elements that can be directly used as a measurement parameter and can be presented in real time and accurately.
Co-Authors A m i n u d i n Agung Rachmat Raharja Al-Husaini, Muhammad Aminudin Ananta Billy Ocean Andhika Dwi Syahputra Bagus Alit Prasetyo Baramukti Dewayana Bayu Dwi Rizkyadha Putra Benny Yustim Bob Foster Candra Perdana Chaniago, M Benny Christopher Prananta Sembiring Dani Hamdani Dani Hamdani Dani Hamdani, Dani Diah Sri Rejeki Diany Dimas Naufal Hakiki Egi Abinowi Egi Abinowi Endang Amalia Faisal Muttaqin, Helmy Fajar Sapta Ramadhan Faris Rai Fadhil Gavin Haryanto Hutagalung Geraldyo Oktafialfa Ghifari, Muhammad Al Gilang Gemilang Ramadhan Putra Gilang Pratama Putra Hafizh Cahaya Putra, Vito Haria Saputry Haria Saputry Wahyuni Helmy Faisal Mutaqien Helmy Faisal Muttaqin Helmy Faisal Muttaqin Heri Heryono Heri Heryono Herwan Rahmansyah Heryono, Heri Heryono, Heri Heryono Hesti Pratiwi Hilma Najya I Ketut Suada Ilham Dzulfiqar Almaarif Indra Aliyudin Indra Guna Noviantama Jumadil Saputra Kaffah Imanuddin M R Santosa Kanugrahan, Ghanim Khansa Nurul Andini Khevin Asyahda Luginawati, Syita M Benny Chaniago Merryam Agustine Merryam Agustine Merryam Agustine Mualwan, Rifqi Muhamad Rizky Fauzan Muhammad Aiman Abdul Hafizh Muhammad Arief Fahrizal Muhammad Benny Chaniago Muhammad Benny Chaniago Muhammad Fiqh Nurhidayat Muhammad Rais Fauzan Muhammad Rifky Saiful Qadr Muhammad Zacky Sudardjat Muttaqin, Helmy Faisal Nashrullah, Naufal Nenden Aryani Goddess Putra, Bayu Dwi Rizkyadha Putra, Gilang Pratama Rahayu, Ria Sri Resti Dewi Sri Retno Paryati Reyta, Fitriani Ria Fatimah Setiawati Rian Andrivani Rian Pirnandi Turnip Riky Arisandi Rizky Fajar Pratama Sadar Putra Sadeli Siti Mardiana Siti Mardiana Suhendri Suhendri Suhendri Suhendri Sukenda Sukenda Sulianta, Feri Sunjana * Sunjana Sunjana Syita Luginawati Tanjung, Muhammad Ali Akbar Taufik Hidayat Ulil Surtia Zulpratita Umi Hayati Yan Puspitarani Yusuf, Revy Muhammad