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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmiah Kursor Prosiding SNATIKA Vol 01 (2011) Jurnal Teknologi Informasi dan Ilmu Komputer REKAYASA Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) ELINVO (Electronics, Informatics, and Vocational Education) Proceeding of the Electrical Engineering Computer Science and Informatics Network Engineering Research Operation [NERO] Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JSiI (Jurnal Sistem Informasi) Multitek Indonesia : Jurnal Ilmiah Jambura Journal of Mathematics ComTech: Computer, Mathematics and Engineering Applications JoMMiT : Jurnal Multi Media dan IT JUSIFOR : Jurnal Sistem Informasi dan Informatika International Journal of Integrative Sciences Sains Data Jurnal Studi Matematika dan Teknologi
Devie Rosa Anamisa
Universitas Trunojoyo Madura
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Physics Social Sciences

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Technologies, methods, and approaches on detection system of plant pests and diseases Devie Rosa Anamisa; Muhammad Yusuf; Wahyudi Agustiono; Mohammad Syarief
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1954

Abstract

This research aims to identify the technology, methods, approaches applied in developing plant pest and disease detection systems. For this purpose, it mainly reviews systematically related research on identification, monitoring, detection, and control techniques of plant pests and diseases using a computer or mobile technology. Evidence from the literature shows previous both academia and practitioners have used various technologies, methods and approaches for developing detection system of plant pests and diseases. Some technologies have been applied for the detection system, such as web-based, mobile-based, and internet of things (IoT). Furthermore, the dominant approaches are expert system and deep learning. While backward chaining, forward chaining, fuzzy model, genetic algorithm (GA), K-means clustering, Bayesian networks and incremental learning, Naïve Bayes and Certainty Factors, Convolutional Neural Network, and Decision Tree are the most frequently methods applied in the previous researches. The review also indicated that no single technology or technique is best for developing accurate pest/disease detection system. Instead, the combination of technologies, methods, and approaches resulted in different performance and accuracies. A possible explanation for this is because the systems are used for detecting, controlling and monitoring various plants, such as corn, onion, wheat, rice, mango, flower, and others that are different. This research contributes by providing a reference for technologies, methods, and approaches to the detection system for plant pests and diseases. Also, it adds a way of literature review. This research has implications for researchers as a reference for researching in the computer system, especially for the detection of plant pest and disease research. Hence, this research also extends the body of knowledge of the intelligence system, deep learning, and computer science. For practice, the method references can be used for developing technology for detecting plant pest and disease.
Desain Layanan E-Surat untuk Desa Waru Barat, Pamekasan, Madura menggunakan QR-Code Wahyudi Agustiono; Intan Rofika Putri; Devie Rosa Anamisa
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 6: Desember 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021853357

Abstract

Pelayanan dokumen resmi melalui media internet atau e-surat mulai diadopsi pemerintah karena lebih sederhana, cepat, murah dan aman. Penerapan e-surat ini akan sangat berguna terutama bagi Desa Waru Barat, Kabupaten Pamekasan, Madura yang sebagian warganya berdomisili di luar kota atau bahkan di luar negeri. Para warga desa ini seringkali membutuhkan pelayanan surat untuk berbagai keperluan administrasi tanpa terkendala perbedaan waktu dan jarak. Sementara itu, Pemerintah Desa juga ingin meningkatkan pelayanan surat menyurat kepada warganya secara efisien namun tetap menjaga keamanan dan keabsahan dokumen. Oleh karena itu, penelitian ini bertujuan merancang dan membangun aplikasi e-surat untuk Desa Waru Barat dengan menggunakan QR Code. Hasil evaluasi fungsionalitas menunjukkan bahawa aplikasi berhasil membuat dokumen surat dengan QR Code yang unik untuk menjaga keamanan dan keabsahan setiap surat. Sementara itu hasil user acceptance testing dengan melibatkan perangkat desa dan warga masyarakat sebagai pengguna utama menunjukkan tingkat dayaguna dan penerimaan sangat tinggi masing-masing 97,2% dan 95,6%. Dari hasil di atas, dapat disimpulkan bahwa penerapan aplikasi e-surat ini terbukti sangat berguna bagi pemerintah dan warga desa terutama yang berdomisili di luar desa. Berdasarkan hasil evaluasi flowmap menunjukan bahwa implementasi e-surat terbukti dapat membuat proses administrasi surat menyurat lebih sederhana, cepat, menghilangkan kendala jarak dan menghemat sumber daya (biaya, waktu dan utilitas) dibandingkan dengan proses sebelum adanya aplikasi ini. Selain implikasi praktis di atas, kontribusi penelitian ini khsusnya dalam bidang TI, yang dapat diadopsi penelitian masa depan, adalah arsitektur sistem dan aplikasi e-Surat dengan algoritma yang mampu membangkitkan QR Code yang unik untuk menjaga keamanan dan keabsahan dokumen.AbstractThe process of providing certificates using internet to the citizens, known as e-certificate has increased. This is because e-certificate offers streamlined and faster process yet secure. Therefore, e-certificate seems to be useful especially for Waru Barat Village authority, Pamekasan District, Madura, whose people mostly work outside or even overseas. Eventually, they often need to obtain certificates from the authority for various purposes. On the other hand, the authority is keen to speeding up the delivery of the document but still pay attention to the validity and security. Therefore, this research attempted to design and develop e-certificate for Waru Barat Village using QR Code. The functionality testing showed the application successfully generated e-certificate along with the unique QR Code to secure and maintain the validity of the document. The user acceptance testing involving village staffs and people as the primary users indicated the overall score are 97.2% and 95.6% respectively. This implies that the application proofed to be useful and usable according to the staffs and especially to those who live outside the village. Another flow-map evaluation also showed that the implementation of e-certificate was able to make the administrative process more streamlined, faster, remove geographical barrier, save the resources (cost, time and utility). Despite these practical implication, the contribution of this research, especially to the IT discipline which could be adopted in the future study, is the system architecture and e-certificate application along with the algorithm for generating unique QR Code to ensure the security and validity of the document.           
Rancang Bangun Aplikasi Pembelajaran Rambu-Rambu Lalu Lintas Berbasis Android Muhammad Ali Syakur; Devie Rosa Anamisa
MULTITEK INDONESIA Vol 12, No 1 (2018): Juli
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (665.202 KB) | DOI: 10.24269/mtkind.v12i1.641

Abstract

Optimalisasi kualitas sekolah tergantung pada pemahaman untuk proses belajar mengajar di dalam kelas maupun di luar kelas. sekolah berkualitas menunjukkan kapasitas kemampuan siswa dalam mengotpimalkan program tertentu seperti dalam pembelajaran berlalu lintas. Pelajaran ini difokuskan pada pengamatan mengajar berupa pengenalan kesadaran berlalu lintas. Proses belajar dengan menggunakan pendekatan kualitatif,seperti grounded theory berbasis android belum pernah diperkenalkan pada siswa-siswi sekolah dasar (SD). Pendekatan ini dilakukan dengan tujuan mengenalkan perangkat pembelajaran menjadi solusi baru dalam perkembangan dunia pendidikan sebagai pembelajaran interaktif. Selain itu, penanaman kesadaran berlalu lintas sebaiknya dilakukan sejak dini. Masa anak-anak merupakan fase awal dalam kehidupan manusia untuk memulai sosialisasi eksternal di luar lingkungan keluarga intinya dan pada fase ini anak-anak cenderung lebih mudah untuk menyerap nilai-nilai termasuk pengetahuan berlalu lintas karena pada nantinya akan selalu berinteraksi dengan sistem lalu lintas dan jalan raya dalam menjalankan aktivitasnya. Dengan keterbatasan-keterbatasan tersebut maka khususnya siswa-siswi Kelas II SD sangat membutuhkan metode pembelajaran ini untuk mengenalkan rambu-rambu lalu lintas, khususnya rambu peringatan, larangan, perintah dan petunjuk berbasis android sebagai pembelajaran interaktif, dengan harapan agar dapat memotivasi siswa-siswi dalam membantu belajar memahami dan mengerti konsep-konsep rambu rambu lalu lintas tanpa harus membawa buku dan pengajaran menjadi lebih menarik sehingga dapat memotivasi belajar siswa-siswi SD baik di sekolah maupun diluar sekolah. Selain itu, aplikasi ini juga dapat membantu sekolah menjadi SD yang berkualitas dengan menyiapkan generasi penerus bangsa yang berkualitas sadar akan hukum berlalu lintas.
K-Nearest Neighbors Method for Recommendation System in Bangkalan’s Tourism Devie Rosa Anamisa; Achmad Jauhari; Fifin Ayu Mufarroha
ComTech: Computer, Mathematics and Engineering Applications Vol. 14 No. 1 (2023): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v14i1.7993

Abstract

The more tourist objects are in an area, the more challenging it is for local governments to increase the selling value of these attractions. The government always strives to develop tourist attraction areas by prioritizing the beauty of tourist attractions. However, visitors often have difficulty in determining tourist objects that match their criteria because of the many choices. The research developed a tourist attraction recommendation system for visitors by applying machine learning techniques. The machine learning technique used was the K-Nearest Neighbor (KNN) method. Several trials were conducted with a dataset of 315 records, consisting of 11 attributes and 21 tourist attractions. Based on the dataset, the preprocessing stage was previously carried out to improve the data format by selecting data where the data were separated based on existing criteria, then calculating the closest distance and determining the value of k in the KNN method. The results are divided into five folds for each classification method. The highest system accuracy obtained at KNN is 78% at k=1. It shows that the KNN method can provide recommendations for three tourist attraction classes in Bangkalan. Applying the KNN method in the recommendation system determines several alternative tourist objects that tourists can visit according to their criteria in natural, cultural, and religious tourist objects.
Implementation of the Naive Bayes and Simple Additive Weighting Methods in the Feasibility Selection of Village Cash Assistance Recipients Bain Khusnul Khotimah; Wahyu Indra Kustina; Yeni Kustiyahningsih; Devie Rosa Anamisa; Fifin Ayu Mufarroha
International Journal of Integrative Sciences Vol. 2 No. 5 (2023): May, 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v2i5.4244

Abstract

Village Fund Direct Cash Assistance (VF-DCA) is a direct cash assistance policy in which funds come from the village. The VF-DCA policy is expected to ease the burden on the community, especially those with a low economy. Still, it is undeniable that there are opportunities for misuse of village funds by some VF-DCA organizers, intentionally or unintentionally. Problems that arise in implementing VF-DCA are mistakes in determining the beneficiary communities that are not on target so that the impact of VF can be manipulated for the interests of certain groups in several cases of social assistance programs. The solution to these problems is that this research creates a decision support system in selecting the eligibility of assistance recipients. This research used the Naïve Bayes (NB) method in selecting VF-DCA recipients and the Simple Additive Weighting (SAW) way to determine the order of eligibility scores for each candidate for VF-DCA recipients. In this study, the results of the classification process using the NB method obtained an accuracy rate of 99.36%. Hence, this is simplified in determining potential recipients of VF-DCA using the NB and SAW methods
Prediction Model for Tourism Object Ticket Determination in Bangkalan, Madura, Indonesia Fifin Ayu Mufarroha; Akhmad Tajuddin Tholaby; Devie Rosa Anamisa; Achmad Jauhari
ComTech: Computer, Mathematics and Engineering Applications Vol. 14 No. 2 (2023): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v14i2.7992

Abstract

One of the regencies in Madura, namely Bangkalan, with its local wisdom and beautiful landscapes has the potential to become a tourism center. However, there may be a decrease in the number of visits caused by some factors. The research used the time series method to build a prediction model for tourist attraction entrance tickets. The model development aimed to estimate the number of tourist attraction visits in the future. The right model was needed to get the best prediction results. Least square, Holt-Winter, Seasonal Autoregressive Integrated Moving Average (SARIMA), and Rolling were chosen as the models. Data collection related to the number of tourist objects was carried out directly at the Tourism Office to obtain valid data. Using data on visitors to tourist attractions in Bangkalan Regency from 2015 to 2019, the results of measuring errors using Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE) are obtained. The error measurement results show that the Holt-Winter model has the lowest error rate of 5% and RMSE of 307,1198. Based on these calculations, the Holt-Winter model is the best model for determining tourist attraction entrance tickets. The ranking of the error measurement results from the highest to the lowest are Holt-Winter, Rolling, SARIMA, and Least Square methods.
Aplikasi Pemetaan Kantor Dinas Di Kabupaten Bangkalan-Madura Berbasis Android Anamisa, Devie Rosa; Rachmad, Aeri
Jurnal Sistem Informasi Vol 2 (2015)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (168.804 KB) | DOI: 10.30656/jsii.v2i0.64

Abstract

Saat ini perkembangan teknologi sangat pesat, salah satunya pada aplikasi pencarian lokasi, menyebabkan banyak uji pemetaan semakin mudah dilakukan. Salah satu pencarian lokasi yang biasa dilakukan adalah pencarian lokasi dengan Google-Map. Namun keterbatasan Google-Map hanya melakukan pencarian lokasi kantor-kantor dinas wilayah madura khususnya Bangkalan. Untuk menyampaikan informasi lokasi tersebut dirasa kurang praktis karena tidak bersifat 'mobile', sementara mobilitas manusia semakin tinggi. Android merupakan sistem operasi terbuka yang digunakan untuk smart phone yang saat ini sedang sangat diminati oleh masyarakat. Pada penelitian ini menghasilkan suatu aplikasi yang mengimplementasikan pemetaan infrastruktur kantor-kantor dinas Kabupaten Bangkalan-Madura untuk mempermudah dalam proses pencarian lokasi dan juga informasi layanan di tiap kantor dinas wilayah Madura khususnya Bangkalan. Hasil penelitian ini diharapkan menghasilkan analisa yang akan digunakan sebagai pertimbangan dalam pemetaan infrastruktur kantor baik Dinas Capil, Dinas Kesehatan, Dinas Pendidikan, Dinas Koperasi, dan Dinas Pertanian di Kabupaten Bangkalan dengan sistem layanan berbasis lokasi (LBS) berbasis android.
Prediksi Jumlah Penderita Stunting di Madura Dengan Pendekatan Machine Learning Septiyanto, Triyas; Mufarroha, Fifin Ayu; Anamisa, Devie Rosa; Jauhari, Achmad
JoMMiT Vol 7 No 2 (2023): Artikel Jurnal Volume 7 Issue 2, Desember 2023
Publisher : Politeknik Negeri Media Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46961/jommit.v7i2.901

Abstract

Indonesia, sebagai negara kepulauan terbesar di dunia dengan luas daratan hampir tiga ribu pulau, memiliki potensi ekonomi signifikan dan sumber daya unik. Namun, Indonesia masih menghadapi tantangan serius dalam bidang kesehatan gizi, terutama terkait dengan stunting, kurang gizi, dan obesitas. Stunting adalah kondisi gizi yang mengindikasikan tinggi badan seseorang tidak sesuai dengan usianya, dan memiliki dampak jangka pendek dan panjang terhadap kualitas hidup individu. Untuk mengatasi masalah kesehatan ini, perlu diterapkan metode inovatif seperti teknologi machine learning. Penelitian ini bertujuan untuk memprediksi jumlah penderita stunting di Madura, Dengan menggunakan metode Least Square, dengan nilai Evaluasi akurasi peramalan MAD sebesar 475, MSE sebesar 1128125, dan MAPE sebesar 15.56%, menunjukkan bahwa model yang dikembangkan memiliki kemampuan yang baik dalam memprediksi jumlah penderita stunting di Madura.
Visitor Decision System in Selection of Tourist Sites Based on Hybrid of Chi-Square And K-NN Methods Anamisa, Devie Rosa; Mufarroha, Fifin Ayu; Jauhari, Achmad
Elinvo (Electronics, Informatics, and Vocational Education) Vol 8, No 2 (2023): November 2023
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v8i2.55702

Abstract

Madura Island is one of the islands with a lot of tourism spread over four districts, such as natural, religious, and cultural tourism. And every year, various visitors visit various tourist sites in Madura, so an increase in the number of visitors has been found in multiple places. This is influenced in addition to the type of tourist attraction but also changes in tourist behavior in making decisions to visit tourist objects. Most of the researchers have applied the right decision-making with intelligence-based measurement. However, the accuracy obtained has not yet reached the optimal solution. Therefore, this study uses the Chi-Square and K-Nearest Neighbors (K-NN) methods to recommend tourist attraction locations based on visitor characteristics to increase visitor attractiveness in tourist attractions scattered in Bangkalan, Madura. Chi-Square is used to select features that affect tourist attraction visitor factors by testing the relationship between the variables involved. Meanwhile, K-NN is a method of classifying potential visitor attractions based on their characteristics by using the closest membership calculation, which is the largest from the test data. The calculation is carried out by the square of the Euclidian distance from each object, then sorted from the smallest to the largest value and looking for the value of k as the result of the decision. There are ten features used in the classification, such as tourism type, management services, facilities, gender, age, occupation, education, visitor status, ticket prices, and sales trends. There are three classes classified: low, medium, and high visitor attractiveness. The contribution of this study is to analyze the effect of the characteristics of tourist attraction visitors on increasing visitor attractiveness using the chi-square and K-NN methods. Based on the results of system testing using K-Fold Cross Validation with five folds from 315 datasets, it produces the highest accuracy at k-fold = 3 worth 84.12% with eight selected features.
Performance Comparison between Double Exponential Smoothing and Double Moving Average Methods in Seasonal Beef Demand Khusnul Khotimah, Bain; Setiani; Wulandari, Ana Yuniasti Retno; Anamisa, Devie Rosa
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 9, No. 4, November 2024
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v9i4.1934

Abstract

Beef demand relies on seasonal patterns because it depends on feed supplies, especially in the rural areas, that still rely on natural feeds. Beef supply is regulated by the government as it is one of the highly demanded commodities. It is a livestock product containing nutritional value to meet the protein needs of the community. The supply is influenced by several factors such as beef production, beef consumption, and the people's income level. In order to anticipate the increasing demand for beef, it is necessary to conduct a forecast to estimate the demand for meat in the future. In forecasting, various methods were examined to choose the method with the lowest error rate. This research compared the Mean Absolute Percentage Error (MAPE) resulted from Double Exponential Smoothing (DES) and Double Moving Average (DMA) methods. Based on the test results and analysis on beef supplies in Madura, it can be concluded that the method with the lowest MAPE value is Double Exponential Smoothing, i.e. 9.50% with an alpha parameter of 0.5. Meanwhile, the test using the Double Moving Average method to determine the best MAPE value, resulted the best time order of 2 with a MAPE value of 29.8408%. After finding the parameter with the lowest MAPE value, that parameter was used for the data testing. In the measurement, the data used for the testing were the data of 1-year, 2-year, 3-year, and 4-year period. Each method has a level of error value that increases the same; the number of data entered can affect the MAPE value. Therefore, the more data entered, the lower the error value.
Co-Authors Achmad Jauhari Achmad Jauhari, Achmad Admojo, Fadhila Tangguh Aeri Rachmad Agustiono, Wahyudi Ahmad Sahru Romadhon Akhmad Tajuddin Tholaby Ana Tsalitsatun Ni'mah Arif Djunaidy Bachtiar, Dimas Bain Khusnul Khotimah Bain Khusnul Khotimah Bain Khusnul Khotimah Faikul Umam Fathul Qorib Yusfila Fifin Ayu Mufarroha Firli Irhamni Ika Oktavia Suzanti Indah Pratiwi Intan Rofika Putri Khusnul Khotimah, Bain Mohammad Syarief Mohammad Yanuar Hariyawan Muhammad Yusuf Muhammad Yusuf Nuraini, Dinah Salsabila, Unik Hanifah Septiyanto, Triyas Setiani Syakur, Muhammad Ali Syarief, Mohammad Violina, Dina Wahyu Indra Kustina Wahyudi Agustiono Wahyudi Agustiono Wanda, Isnaini Septyana Wulandari, Ana Yuniasti Retno Yeni Kustiyahningsih