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All Journal Unisda Journal of Mathematics and Computer Science (UJMC) J-SAKTI (Jurnal Sains Komputer dan Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika) TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Journal of Applied Statistics, Mathematics, and Data Science Jurnal Informatika dan Teknik Elektro Jurnal Pengabdian Kepada Masyarakat Jurnal FORTECH
Aprilia, Ira
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Mathematics Mechanical Engineering Social Sciences

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Aplikasi Android Mendiagnosa Hama dan Penyakit Tanaman Bawang Merah Menggunakan Fuzzy Logic Kartini, Dwi Putri; Ariyanti, Dyah; Aprilia, Ira
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 2 (2023): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v9i2.6110

Abstract

The productivity of shallots in Indonesia from year to year is still low from maximum productivity, especially in Probolinggo district because it is caused by attacks of pests and diseases so often decreases the economic value and the quality of shallots. Lack of information for farmers, especially novice farmers on shallot plants, results in late countermeasures to prevent pest and disease attacks on shallots. For that, an application system is needed, namely an expert application system that can be implemented into machine language easily and efficiently by using Fuzzy Logic. The use of the Fuzzy Logic expert system can bridge machine language that is very precise with human language which tends to be not precise. In this study the logic used is fuzzy logic with the Sugeno method based on Android using the Java programming language by testing 16 expert data. From the results of testing this application system, researchers obtained an accuracy rate of 93.75% with details of 15 accurate data and 1 inaccurate data.
Rancang Bangun Diagnosa Penyakit Tropis Pada Anak Dengan Metode Forward Chaining Menggunakan Framework Codeigniter Indrawati, Putri Wahyuni; Ariyanti, Dyah; Aprilia, Ira
INTRO : Journal Informatika dan Teknik Elektro Vol 3 No 2 (2024): INTRO : Jurnal Informatika dan Teknik Elektro Edisi Desember 2024
Publisher : Fakultas Teknik dan Informatika Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/intro.v3i2.2168

Abstract

Indonesia is a country with a tropical climate which has two seasons, namely the rainy season and the dry season. From the climatic conditions that occur in Probolinggo district, especially Tiris sub-district, it is very likely that the people of Tiris sub-district are affected by tropical diseases, especially children, as well as limited working hours or doctor's working hours and the large number of patients who have to queue. Because of this, we need a tool that can diagnose children's illnesses in the form of a system. Application for diagnosing tropical diseases in children which can be used for initial diagnosis in children when they experience disorders in the body. The application will display diagnostic results based on the symptoms experienced by the child at that time. The application was built using the PHP programming language with the CodeIgniter Framework.
ANALISIS RMSE DALAM HOLT-WINTERS EXPONENTIAL SMOOTHING METHODS PADA FORECASTING EKSPOR MIGAS PROVINSI JAWA TIMUR Aprilia, Ira; Achmadin, Wahyu Nur; Masruroh, Zuwidatul; Ghofur, Abdul
ESTIMATOR : Journal of Applied Statistics, Mathematics, and Data Science Vol. 2 No. 1 (2024)
Publisher : Program Studi Statistika Universitas PGRI Argopuro Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31537/estimator.v2i1.1911

Abstract

Penelitian ini dimulai dengan memvisualisasikan semua data dalam bentuk grafik untuk memudahkan analisis lebih lanjut. Data yang digunakan adalah nilai ekspor minyak dan gas (migas) Provinsi Jawa Timur dari Januari 2021 hingga Desember 2023, dengan pencatatan bulanan. Analisis ini menyoroti pentingnya mempertimbangkan faktor musiman dalam peramalan untuk memahami dinamika data dengan lebih baik. Grafik ini menampilkan pola fluktuatif yang terlihat dalam data, dengan nilai yang naik-turun tidak stabil, yang disebabkan oleh pengaruh musiman yang terjadi setiap bulan. Dalam forecasting, struktur utama terdiri dari level, tren, musiman, dan forecast. Penelitian ini menggunakan persamaan yang telah ditentukan untuk menghitung level dan tren dari data time series tersebut. Penggunaan parameter ?, ?, dan ?, yang bersifat arbitrer, diteliti dalam rentang nilai (0,1 – 0,5) untuk menentukan kombinasi yang optimal. Setelah melakukan perhitungan, evaluasi dilakukan terhadap nilai error, dengan menghitung Mean Absolute Error (MAE) dan Root Mean Square Error (RMSE). Tabel-tabel RMSE menunjukkan hasil dari berbagai kombinasi beta dan gamma dengan konstanta ? yang berbeda, menyoroti pentingnya pemilihan parameter yang tepat untuk meningkatkan akurasi model peramalan. Analisis ini juga menunjukkan bahwa nilai RMSE cenderung meningkat seiring dengan nilai ? yang lebih tinggi, mengindikasikan bahwa bobot yang lebih besar pada data terbaru dapat meningkatkan kesalahan prediksi. Selain itu, variasi signifikan dalam RMSE antara kombinasi beta dan gamma menunjukkan bahwa eksperimen untuk menemukan kombinasi yang optimal dapat menghasilkan prediksi yang lebih akurat. Dalam penelitian ini, pemilihan kombinasi beta dan gamma yang menghasilkan RMSE terendah menjadi fokus utama dalam mengoptimalkan model peramalan. Hasil peramalan untuk periode mendatang juga dipresentasikan, memberikan gambaran tentang prediksi nilai ekspor migas di Provinsi Jawa Timur selama 12 bulan ke depan.
Identifikasi Jenis-Jenis Burung Lovebird Menggunakan Pengolahan Citra Digital Dengan Metode K-Means Clustering Misdiyanto, M; T, Yustina Suhandini; Aprilia, Ira
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.236

Abstract

Identification process type of bird lovebird, usually determined by parameters characteristic feather color of birds lovebird. Parameters to define the type of bird lovebird usually done manually by using the sense of sight. This way has a weakness that is, it takes a long time and results in an invalid identification. Based on that weakness, the researcher designed an identification system type of lovebird birds by using the Matlab programming language. Identify the type of lovebird bird conducted by researchers, namely color analysis of lovebird bird feathers. Image data were taken in the form of bird samples, lovebird josan, albino, and lutino by using a DSLR camera and identification algorithm K-means Clustering. The system is divided into two stages, namely the training stage and the testing phase. The training stage uses 30 bird images recognized according to type resulting in an accuracy level of 100%. While The testing phase uses 24 bird images, 22 images of lovebird birds identified according to their type, and two recognizable lovebirds images but not according to its kind resulting in an accuracy level of 91,67%.
Identifikasi Jenis-Jenis Burung Lovebird Menggunakan Pengolahan Citra Digital Dengan Metode K-Means Clustering Misdiyanto, M; T, Yustina Suhandini; Aprilia, Ira
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1125.854 KB) | DOI: 10.30645/j-sakti.v4i2.236

Abstract

Identification process type of bird lovebird, usually determined by parameters characteristic feather color of birds lovebird. Parameters to define the type of bird lovebird usually done manually by using the sense of sight. This way has a weakness that is, it takes a long time and results in an invalid identification. Based on that weakness, the researcher designed an identification system type of lovebird birds by using the Matlab programming language. Identify the type of lovebird bird conducted by researchers, namely color analysis of lovebird bird feathers. Image data were taken in the form of bird samples, lovebird josan, albino, and lutino by using a DSLR camera and identification algorithm K-means Clustering. The system is divided into two stages, namely the training stage and the testing phase. The training stage uses 30 bird images recognized according to type resulting in an accuracy level of 100%. While The testing phase uses 24 bird images, 22 images of lovebird birds identified according to their type, and two recognizable lovebirds images but not according to its kind resulting in an accuracy level of 91,67%.
USAHA BUDIDAYA JAMUR TIRAM UNTUK PENINGKATAN EKONOMI RUMAH TANGGA DI KELURAHAN PAKISTAJI PROBOLINGGO JAWA TIMUR Tjahjaningsih, Yustina Suhandini; Prihatiningsih, Tri; Aprilia, Ira; Umi Zuhro, Mimik; Rahmawati , Anisa; Dwicaksono, Pramuditya F.
JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 4 No. 1 (2023): Jurnal Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Kahuripan Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51158/wq1nnz21

Abstract

Salah satu  usaha yang menjanjikan saat ini adalah budidaya jamur. Peluang usaha budidaya jamur ini perlu dikembangkan karena mempunyai dampak positif bagi peningkatan ekonomi rumah tangga. Permasalahan yang timbul adalah pengetahuan  berwirausaha  masih kurang, lahan kosong milik kelompok masyarakat belum  diberdayakan sebagai sarana  usaha yang bernilai ekonomi dan belum mempunyai kemampuan untuk  mengembangkan hasil panen untuk olahan pangan yang bervariatif. Tujuan Kegiatan Pengabdian ini yang pertama untuk memberdayakan kelompok masyarakat yang belajar berwirausaha pada usaha budidaya jamur sebagai peluang bisnis untuk peningkatan ekonomi rumah tangga. Tujuan kedua memanfaatkan lahan kosong milik mitra untuk diberdayakan menjadi aset yang bernilai ekonomi dengan usaha budidaya jamur, sekaligus mendukung program ketahanan pangan dengan mengembangkan hasil panen jamur sebagai makanan olahan. Pelatihan budidaya jamur dan pembuatan olahan jamur dilakukan untuk kelompok masyarakat di Kelurahan Pakistaji dan hasilnya usaha budidaya jamur terwujud dengan kemampuan menghitung usaha dan pembuatan olahan jamur sehingga ekonomi rumah tangga meningkat. Kata kunci: Budidaya, Jamur Tiram , Olahan Jamur.   Abstract  One of the promising businesses currently is mushroom cultivation. This mushroom cultivation business opportunity needs to be developed because it has a positive impact on improving the household economy. The problems that arise are the entrepreneurial knowledge is still lacking, empty land belonging to community groups has not been utilized as a means of business with economic value and they cannot develop harvests for varied food processing. The aim of this service activity is firstly to empower community groups who are learning entrepreneurship in mushroom cultivation as a business opportunity to improve the household economy. The second objective is to utilize empty land owned by partners to turn it into an asset of economic value by cultivating mushrooms, as well as supporting food security programs by developing mushroom harvests as processed food. Training on mushroom cultivation and making processed mushrooms was carried out for community groups in Pakistaji Village and as a result, the mushroom cultivation business was realized with the ability to calculate business and make processed mushrooms so that the household economy improved.  Keywords: Cultivation, Oyster Mushrooms, Processed Mushrooms.  
ANALISIS RMSE DALAM HOLT-WINTERS EXPONENTIAL SMOOTHING METHODS PADA FORECASTING EKSPOR MIGAS PROVINSI JAWA TIMUR Aprilia, Ira; Achmadin, Wahyu Nur; Masruroh, Zuwidatul; Ghofur, Abdul
ESTIMATOR : Journal of Applied Statistics, Mathematics, and Data Science Vol. 2 No. 1 (2024)
Publisher : Program Studi Statistika Universitas PGRI Argopuro Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31537/estimator.v2i1.1911

Abstract

Penelitian ini dimulai dengan memvisualisasikan semua data dalam bentuk grafik untuk memudahkan analisis lebih lanjut. Data yang digunakan adalah nilai ekspor minyak dan gas (migas) Provinsi Jawa Timur dari Januari 2021 hingga Desember 2023, dengan pencatatan bulanan. Analisis ini menyoroti pentingnya mempertimbangkan faktor musiman dalam peramalan untuk memahami dinamika data dengan lebih baik. Grafik ini menampilkan pola fluktuatif yang terlihat dalam data, dengan nilai yang naik-turun tidak stabil, yang disebabkan oleh pengaruh musiman yang terjadi setiap bulan. Dalam forecasting, struktur utama terdiri dari level, tren, musiman, dan forecast. Penelitian ini menggunakan persamaan yang telah ditentukan untuk menghitung level dan tren dari data time series tersebut. Penggunaan parameter ?, ?, dan ?, yang bersifat arbitrer, diteliti dalam rentang nilai (0,1 – 0,5) untuk menentukan kombinasi yang optimal. Setelah melakukan perhitungan, evaluasi dilakukan terhadap nilai error, dengan menghitung Mean Absolute Error (MAE) dan Root Mean Square Error (RMSE). Tabel-tabel RMSE menunjukkan hasil dari berbagai kombinasi beta dan gamma dengan konstanta ? yang berbeda, menyoroti pentingnya pemilihan parameter yang tepat untuk meningkatkan akurasi model peramalan. Analisis ini juga menunjukkan bahwa nilai RMSE cenderung meningkat seiring dengan nilai ? yang lebih tinggi, mengindikasikan bahwa bobot yang lebih besar pada data terbaru dapat meningkatkan kesalahan prediksi. Selain itu, variasi signifikan dalam RMSE antara kombinasi beta dan gamma menunjukkan bahwa eksperimen untuk menemukan kombinasi yang optimal dapat menghasilkan prediksi yang lebih akurat. Dalam penelitian ini, pemilihan kombinasi beta dan gamma yang menghasilkan RMSE terendah menjadi fokus utama dalam mengoptimalkan model peramalan. Hasil peramalan untuk periode mendatang juga dipresentasikan, memberikan gambaran tentang prediksi nilai ekspor migas di Provinsi Jawa Timur selama 12 bulan ke depan.
Peningkatan Pengetahuan dan Wawasan Kepada Anak Sekolah Dasar Dalam Bidang Teknologi Informasi dan Komunikasi Izzuddin, Ahmad; Tunggal Prasetiyo, Dani Hari; Baihaqi, Mas Ahmad; Hikmah, Nuzul; Ariyanti, Dyah; Aprilia, Ira
TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Vol. 2 No. 2 (2022): TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat
Publisher : Fakultas Teknik, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/tekiba.v2i2.2249

Abstract

Quality human resources will bring a nation into a prosperous and prosperous nation. A prosperous and prosperous nation does not escape the technological advances that are controlled. ICT training aims to increase knowledge and insight in the field of computer information technology. This is because in the 4.0 era knowledge and skills in the field of ICT are indispensable. The COVID-19 pandemic that has hit the world and including Indonesia has affected the learning system for children. The learning system that was originally face-to-face was replaced with an online system. This is a new problem. Therefore, efforts are needed to improve skills in the field of ICT in children. From the description that has been presented regarding the skill needs of children, the community service program team took the initiative to do service with the theme of improving ICT skills in children with the target of fifth graders at SDN Tamansari 1. Service activities were carried out with three schemes consisting of preparation, preparation and implementation of activities. Results of activities The results of activities participants understand about the functions and working systems of hardware, basic software work processes and functions of Microsoft office icons. Participants are also taught how to operate a computer and use the available applications and features.
Smart Trash Klasifikasi Sampah Otomatis Dengan Sensor Proximity Berbasis Arduino Anas, Muhammad; Hikmah, Nuzul; Aprilia, Ira
Jurnal FORTECH Vol. 3 No. 2 (2022): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v3i2.103

Abstract

Garbage is still a serious problem in Indonesia. Because, the impact can not only damage the environment, but also threaten human health. Garbage is divided into 3 types, namely organic, inorganic and metal which can be decomposed or not biodegradable and is considered no longer useful so that it is disposed of in the environment. Garbage sorting is usually done manually by a janitor before the waste is disposed of to the TPA for re-sorting. The purpose of waste sorting is to facilitate further waste management. This study uses a flowchart to assist the process of analysis and problem solving in research. Flow chart (Flowchart) is a graphical picture consisting of symbols. the results of the research in making a tool in the form of Smart Trash Automatic Garbage classification with Arduino Based Proximity Sensors are. This tool is made to facilitate automatic waste sorting. People who want to dispose of trash no longer have to open and close the lid of the trash can because the lid of the trash can open and close automatically.The working system of this automatic waste classification tool is that when waste is made of organic, inorganic and metal materials, it will be classified automatically into the trash bins that have been prepared. The waste sorting system 2 can only accommodate a maximum waste weight of 100 grams and the waste sorting place 1 is at least 6 grams.
Co-Authors Abdul Ghofur Achmadin, Wahyu Nur Ahmad Izzuddin Ariyanti, Dyah Dani Hari Tunggal Prasetiyo Dwicaksono, Pramuditya F. Hikmah, Nuzul Indrawati, Putri Wahyuni Kartini, Dwi Putri Mas Ahmad Baihaqi Masruroh, Zuwidatul Misdiyanto, M Muhammad Anas Rahmawati , Anisa T, Yustina Suhandini Tjahjaningsih, Yustina Suhandini Tri Prihatiningsih Umi Zuhro, Mimik Wahyu Nur Achmadin