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All Journal snimed Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) IT JOURNAL RESEARCH AND DEVELOPMENT Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Pengabdian Kepada Masyarakat JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Ause Labellapansa, Ause
Universitas Islam Riau
Humanities Computer Science & IT Control & Systems Engineering Education Engineering Social Sciences Other

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Corn Leaf Diseases Recognition Based on Convolutional Neural Network Mutia Fadhilla; Suryani, Des; Labellapansa, Ause; Gunawan, Hendra
IT Journal Research and Development Vol. 8 No. 1 (2023)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2023.13904

Abstract

Maize or known as corn is one of the most important agricultural commodities in Indonesia beside rice. Indonesia is located in a tropical area which has high rate of rainfall and humidity which makes it easy for fungi and bacteria that caused plant disease to thrive. It could be a threat which is a decrease of corn harvest due to plant diseases. To prevent this, a deep learning approach can be implemented to recognize plant diseases automatically based on visual pattern on leaves. In this study, we proposed a CNN-based model for corn leaf diseases recognition. Based on the results, the proposed method has great performance which accuracy score of 93%. Besides that, the proposed method achieved up to 100% precision and recall, and up to 99% F1 score.
Analisa Nilai Lamda Model Jarak Minkowsky Untuk Penentuan Jurusan SMA (Studi Kasus di SMA Negeri 2 Tualang) Khairul Umam Syaliman bin Lukman; Ause Labellapansa
Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 2 (2015): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v1i2.583

Abstract

SMA Negeri 2 (SMAN 2) is located in Tualang. So far the data report student majors only stored in a database as a final report. Data from the report of the majors could be used as guidelines to determine the students' decision majors for the following year. To take advantage of the data stored in that particular database, we can use data mining disciplines. The method used to make the determination of students majoring done by using Nearest K-Nearest Neighbor (K-NN) algorithm. On the other hand, the method for calculating the distance between the data used models Minkowsky distance with a value of lambda (λ) as a parameter. Lambda values that were analyzed were lambda 1, 2 and 3. Lambda with the value of 1 can generate increasing accuracy in the 11th experiment or with a large amount of data equal to 276 data. Lambda 2 will produce increasing accuracy by the 16th experiment or with the number of training data equal to 356 data while lambda 3 can also produce accuracy continuously increasing by the 11th experiement or with the amount of training data equal to 276 data. The accuracy of the lambda value of 1 is better than lambda 2 and lambda 3. This was proven in 25 experiments at lambda 1 which produces the highest accuracy value for 20 times.Keywords — Classification, Data Mining, K-Nearest Neighbor, Lamda (λ), Minkowsky.
EDUPOL: KAMPANYE ANTI POLITIK UANG DAN HOAKS DI PEKANBARU Moekahar, Fatmawati; Labellapansa, Ause; Syafhendry, Syafhendry; Qurniawati, Eka Fitri; Rafida, Norhayati; Jabar, Karim Abdul
Jurnal Ilmiah Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2025): JIPAM : Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : STAI Darul Qalam Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55883/jipam.v4i2.78

Abstract

EDUPOL is a form of political campaign for society of Pekanbaru as an effort to minimize the circulation of money politics and hoaxes ahead of the simultaneous local elections in Riau 2024. The main partners for community service activities are members of Majlis Taklim’s Fastabiqul Khairat Pekanbaru. Partners are considered capable of being agents of change in rejecting money politics and the circulation of hoaxes in society. The activity involved 51 people. Implementation methods are divided into four, namely: Counseling; Application of Technology; Mentoring and Evaluation; and Program Sustainability. The results show that EDUPOL as problem solver by partner with the strongly agree category being 62.7%, while 35.3% were in agree category, and 2% don’t agree. The EDUPOL campaign program makes a positive contribution in increasing public understanding of the dangers of money politics and hoaxes that threaten every election in Indonesia. In the final stage of the program, partners also hope that this program can continue so that it can continue to provide good political education to the community
Co-Authors -, Hendrik -, Indrayanti Abdul Syukur Achmad, Fariz Ahmad Hidayat Alex Timur Boyz Amelia, Reza Apri Siswanto Asrining Ratri, Mega Restu Des Suryani Des Suryani Diah Puspa Kumala Diyah Ayu Rizqiani Efendi, Akmar Hendra Gunawan Ibnu Faderi, Raja Izzati Muhimmah Jabar, Karim Abdul Jayawarsa, A.A. Ketut Khairul Umam Syaliman Mega Restu Asrining Ratri Muhammad Prayogi Mutia Fadhilla Mutia Fadhilla Nesi Syafitri Prayogi, Muhammad Qurniawati, Eka Fitri Rafida, Norhayati Reza Amelia Risya Maulidyah Sella Marselena Shiddiqie, Muhammad Luthfan Sri Yuliani Supriyono Supriyono Syafhendry, Syafhendry Syafitri, Nesi Syafitri, Nesi Timur Boyz, Alex Yuliani, Agus Yulianti, Ana