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Web Design and Application Programming Interface (API) Smart Farming Application Annafi' Franz; Eko Junirianto; Suswanto
TEPIAN Vol 2 No 1 (2021): March 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.336 KB) | DOI: 10.51967/tepian.v2i1.267

Abstract

Agriculture in Indonesia plays a very important role. But the agricultural sector also has a lot of crowds in the process, from the nursery process to the feeding process to the harvesting process, especially when the current Corona pandemic is very influential, for that we need special attention from the parties involved in overcoming the existing problems. In agriculture these processes become more effective and efficient so as to increase the level of productivity of agricultural products. One way to overcome this problem is to involve technology which is currently developing rapidly. The technology that will be built will be able to help the agricultural management process which can be called smart agricultural technology. Technology is able to collect data and present hydroponic plant data during the planting process so that appropriate action can be taken immediately. The technology that will be built in the form of a Web and API (Application Programming Interface) in smart farming applications is expected to be able to make the planting management process more effective and efficient.
License Plate Recognition Integrated with Android and Mobile Vision Muhammad Rizky Adinugroho; Eko Junirianto; Annafi' Franz
TEPIAN Vol 2 No 3 (2021): September 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (495.672 KB) | DOI: 10.51967/tepian.v2i3.503

Abstract

License plate is an important thing on vehicle. License plate is an identity of vehicle. All of the information about type, year, tax, and owner of vehicle. The development of technology especially in digital image processing and mobile android technology. There are so many android applications that used digital image processing known as optical character recognition. The purpose of this paper is to make an android application that can recognize license plate with mobile vision library. The research method of this paper is waterfall, starts with integrating android with mobile vision library and doing test to find out the accuracy of mobile vision. Designing an application models with flowchart diagram and unified modelling language.
Information System Public Administration Services Parianum Village, Muara Bengkal Sub-District Amin Rais; Suswanto; Annafi Franz
TEPIAN Vol 3 No 1 (2022): March 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (905.563 KB) | DOI: 10.51967/tepian.v3i1.691

Abstract

Seen from the population administration service in the village still uses a manual system for processing written data and archiving methods as data storage. Therefore, the purpose of this research is to provide better changes to community services by building an accurate and reliable registration and civil registration information system in parianum village, because in the application of community data storage is carried out directly from outlet services to databases by processing data through the website. Waterfall method or often called waterfall model provides a sequential or sequential software lifeline approach starting from analysis, design, coding, testing and supporting stages. Statistical Product and Service Solutions (SPSS) is an application used to perform advanced statistical analysis, data analysis with machine learning algorithms, string analysis, as well as big data analysis that can be integrated to build a data analysis platform. Pearson correlation or often called Correlation Product Moment is a statistical test tool used to test the associative hypothesis (relationship test) of two variables when the data is interval or ratio scale. The results of this study are easy to manage community data in Parianum village.
Expert System for Identifying Weeds on Oil Palm Plantations Using a Web Based Forward Chaining and Dempster Shafer Method Hastuti; Eny Maria; Annafi Franz
TEPIAN Vol 3 No 1 (2022): March 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (978.884 KB) | DOI: 10.51967/tepian.v3i1.743

Abstract

an expert system for identifying weeds on oil palm plantations using a web-based forward chaining and dempster shafer method. Palm oil is one of the plants that has its own charm in the community because the commodity of palm oil plays an important role in the Indonesian economy, therefore demand for palm oil continues to increase. Along with the increasing demand for palm oil in the world market, oil palm plantations have experienced many disturbances, one of which is weeds which are very detrimental to oil palm farmers, so oil palm farmers are trying to control it. Therefore, the purpose of this research is to build a system application that can be used by farmers to provide information related to weeds that attack oil palm and their control solutions.
Expert System for Diagnosis of Pepper Plant Diseases Using Certainty Factor and Naïve Bayes Methods Karmila; Eny Maria; Annafi' Franz
TEPIAN Vol 2 No 4 (2021): December 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (418.161 KB) | DOI: 10.51967/tepian.v2i4.744

Abstract

Development expert system for diagnosis of pepper plant diseases using certainty factor and naïve bayes methods. Pepper is one type of plant that has long been traded on the European market. So that increasing the quality and quantity of pepper production is the main demand. However, diseases in pepper plants are also familiar to be found so that they can be detrimental to farmers and besides that, agricultural workers who are experts in the field of pepper plant diseases are still limited. Therefore, to overcome this problem, an expert system application is designed where this system can provide information about diseases that attack pepper plants, then provide suggestions or solutions to deal with these diseases. The purpose of this research is to build and design an expert system that is useful for determining pepper plant diseases and to apply certainty factor and nave Bayes methods in providing answers to the results of the consultation. The results of this study are expected to make it easier for users, especially farmers or farm workers in overcoming diseases in pepper plants.
Expert System Diagnosis Disease of Oil Palm Plants Using Forward Chaining and Dempster Shafer Suriyati; Eny Maria; Annafi Franz
TEPIAN Vol 3 No 2 (2022): June 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.232 KB) | DOI: 10.51967/tepian.v3i2.773

Abstract

This research is motivated by the problem of inhibiting crop production from oil palm plants, namely disease. Diseases of oil palm plants can be caused by viruses, fungi and, the host plant or an unfavorable environment. The process of diagnosing oil palm plant diseases requires expertise, knowledge and experience. Therefore, this study aims to build an expert system that can diagnose 9 types of plant diseases in oil palm from 29 symptoms based on the knowledge of 1 expert with the forward chaining method of reasoning and the web-based Dempster Shafer calculation method. The testing technique used is black box testing, validation testing, testing and theoretical calculations. The results of the black box test state that the expert system has 100% conformity in terms of functionality. The results of the expert validation test state that the expert system has 100% conformity. The results of the theoretical calculation test state that the expert system calculations are in accordance with the results of manual calculations. The results of the test with a questionnaire based on 32 respondents said it went very well. The results of this study provide the information needed by farmers to be able to diagnose and increase knowledge about how to overcome the problems faced by their oil palm plantations even without direct expert assistance in order to improve quality and stabilize the amount of production according to farmers' expectations.
Video branding untuk promosi usaha mikro kecil menengah (UMKM) Wahyuni Eka Sari; Yulianto Yulianto; Eko Junirianto; Annafi Franz; Syafei Karim; Ida Maratul Khamidah
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 4, No 1 (2021): Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v4i1.7174

Abstract

Nowadays, Branding or marketing share has evolved from creating images to video. The appropriate videos promotions can increase consumer interest in buying products. The suitable video can provide an positive image to consumers of a product or service. However, there are many obstacles in making interesting branding with video, such as the technique of taking pictures and creating an interesting storyline, the ability to package interesting videos such as editing sound and images, dubbing and then adding text. Solution for the problem, a community service program was carried out by the Politeknik Pertanian Negeri Samarinda to owners of micro, small and medium businesses (UMKM) in Samarinda. Implementation of this activity is carried out for a one-day workshop and then online mentoring for one week. The method of implementation is with lectures, practices, discussions and then questions and answers. This activity was attended by 30 participants. From 30 participants there were 28 participants who succeeded in making a video branding with a duration of 1 to 2 minutes.
IMPLEMENTASI SISTEM REMINDER JADWAL CUCI DARAH PADA PASIEAN HEMODIALISIS DENGAN WHATSAPP GATEWAY. Muhammad Najamuddin Dwi Miharja; Soma Setiawan Ponco Nugroho; Annafi' Franz
Indonesian Journal of Business Intelligence (IJUBI) Vol 4, No 1 (2021): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Program Studi S1 Sistem Informasi Fakultas Komputer dan Teknik Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v4i1.1793

Abstract

Setipa tahun, pada bulan maret hari kamis minggu kedua adalah hari ginjal sedunia. Gagal ginjal kronik merupakan slah satu penyakit dengan biaya yang paling tinggi setalah penyakit jantung. Sesorang dikatakan mengalami gagal ginjal kronik ketika nilai Glomerular Filtration Rate (GFR) yakni < 60 ml/menit/1,73 m2. Sehingga harus menjalai terapi hemodialsisis (HD) / cuci darah biasanya seminggu dua kali dengan durasi 4 jam tiap terapi. Meningkatnya pasien dengan gagal ginjal kronik di usia produktif yang relatif sibuk membutuhkan pengingat supaya tidak terlewat dan telat datang sehingga meganggu jadwal pasien lain. Sistem reminder jadwal cuci darah dengan whatsapp gateway terbukti membantu pasien untuk bisa mengingatkan waktu terapi dan datang sesuai dengan jadwal. Sistem dibangun dengan menggunakan bahasa pemrograman PHP dan node js untuk pembuatan whatsapp API serta DBMS mysql untuk penympanan databasenya.
Information System Data Population in Gunung Panjang Samarinda Seberang Sartina Ayu Lestari; Annafi Franz; Emil Riza Putra
TEPIAN Vol 3 No 4 (2022): December 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (562.287 KB) | DOI: 10.51967/tepian.v3i4.1407

Abstract

The development of technology today is getting faster. With the sophistication of today's technology, we can facilitate the work to be done. We can find the information we need and we can expand the communication network using advanced technology. Currently, population data collection in the government system can be said to be ineffective. Population data collection with a manual system can cause inefficient processing of population data and administrative services will take a longer time. This study uses two methods of data collection, namely: interviews (interviews) and observation. The system development used in this research is the Waterfall model, which starts with the analysis, design, coding, testing, and maintenance stages. The Gunung Panjang Village Population Data Information System was created using several programming languages, Hypert Text Markup Language (HTML), Hypertext Preprocessor (PHP), and Cascading Style Sheet (CSS). and MySQL. It can be concluded that the results of this study are an Information System for Population Data Collection in Gunung Panjang Village which can be used for processing population data and as a means of delivering information on Gunung Panjang Village through the website.
APLIKASI EKSTRAKSI WARNA SEBAGAI ALAT BANTU IDENTIFIKASI TINGKAT KEMATANGAN BUAH KELAPA SAWIT Annafi Franz
Just TI (Jurnal Sains Terapan Teknologi Informasi) Vol 1, No 15 (2023): JANUARI 2023
Publisher : Politeknik Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46964/justti.v1i15.1727

Abstract

Indonesia adalah satu dari beberapa negara besar didunia yang memiliki luas wilayah daratan yang luas. Sebagian dari luas daratan telah digunakan untuk perkebunan. Sektor perkebunan menjadi sumber andalan pendapatan nasional dan devisa. Berdasarkan data dari Badan Pusast Statistik (BPS), perkebunan terbesar di Indonesia adalah perkebunan kelapa sawit yang tersebar di 26 provinsi dengan luas lahan mencapai 14.663.600 hektar pada akhir tahun 2021. Untuk produksi kelapa sawit berupa tanda buah segar (TBS) pada tahun 2021 mencapai 46.223.300. Untuk ekspor minyak sawit pada tahun 2020 ke berbagai negara didunia mampu mencapai 27,63 juta ton dengan nilai 28,69 Miliar USD. Dalam perkebunan kelapa sawit terdapat proses cukup panjang, mulai dari membuka lahan, menanam, merawat sampai memanen. Pada proses memanen akan dipilih dan dipetik buah kelapa sawit atau biasa disebut tandan buah segar (TBS) dengan tingkat kematangan yang tepat. Pemilihan kematangan yang tepat supaya hasil produksi yang dicapai maksimal dengan menghasilkan produk olahan kelapa sawit dengan mutu terbaik. Namun dilapangan sering terjadi perbedaan persepsi tentang tingkat kematangan buah kelapa sawit. Untuk mengatasi hal ini perlu dibuat suatu alat bantu berupa perangkat lunak yaitu aplikasi yang mampu mengenali jenis tingkat kematangan buah kelapa sawit dengan tepat. Aplikasi yang dibuat akan mengidentifikasi kematangan buah kelapa sawit berdasarkan warna. Citra warna yang dieproleh dari objek buah kelapa sawit yang diekstrak akan diproses dengan aplikasi untuk menghasilkan keluaran aplikasi yang berupa hasil identifikasi tingkat kematangan buah kelapa sawit. Aplikasi ini diharapkan mampu membantu petani kelapa sawit dalam memilih buah kelapa sawit dengan tingkat kematangan yang pas, sehingga hasil yang didapat menjadi lebih baik dan maksimal. Selain itu aplikasi ini juga dapat dimanfaatkan oleh mahasiswa jurusan perkebunan untuk belajar tentang kelapa sawit. Aplikasi yang dibuat dengan menggunakan data latih sebanyak 120 citra dan data uji sebanyak 40 citra mampu mencapai akurasi sebesar 97,5%.