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All Journal EUGENIA Seminar Nasional Lahan Suboptimal Journal of Applied Data Sciences Jurnal Agroekoteknologi Terapan Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Journal of Agriculture (JoA) Bulletin of Social Informatics Theory and Application COCOS EKOTON
Frangky J. Paat
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Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Comparison of MobileNet and VGG16 CNN Architectures for Web-based Starfish Species Identification System Latumakulita, Luther Alexander; Paat, Frangky J.; Saroyo, Saroyo; Karim, Irwan; Astawa, I Nyoman Gede Arya; Sirait, Hasanuddin
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.456

Abstract

Bunaken Marine Park (BMP) is famous for its rich marine biodiversity. BMP is an asset for the marine tourism industry of the Manado city government, and the North Sulawesi Province of Indonesia needs to be strengthened. This research aims to build a web-based intelligent system using a convolutional neural network (CNN) to identify starfish species to initiate developing a media center marine biota identification system of BMP. Two CNN architectures, namely MobileNet and VGG16, were conducted to produce identification models. The first stage carried out a training process on 1800 starfish image data and then evaluated using the 5-fold cross-validation technique. Validation results show that MobileNet is superior to the VGG16 architecture by achieving validation accuracy of 100% for each fold while VGG16 produces validation accuracy in the range of 94% to 100%. On the other hand, in the second stage of model testing, it was found that VGG16 worked better than MobileNet in identifying 200 new data. The Best Model produced by VGG16 achieved testing accuracy of 100% while MobileNet produced 99.5%. However, stability analysis of the identification models produced by both architectures shows that MobileNet has relatively small loss values ranging from 0.00069325 to 0.00214802 as well as smaller standard deviation values of 0.27 compared to 0.61 produced by VGG16. These findings indicate MobileNet is more stable in carrying out identification work compared to VGG16 of, thus the best model provided by MobileNet is taken to deploy in the web platform which is created using the Python flask framework. The proposed system can be used to strengthen the marine tourism industry as a media center of educational marine biota using deep learning approaches.
Effect of Temperature and Extraction Time on the Yield, Water Content, and Methoxyl of Coconut Fiber Pectin Paat, Frangky J.; Lamaega, Jolanda Ch. E.; Mamuaja, Christine Fransin; Lumuindong, Frans; Rorong, Frangky
Journal of Agriculture Vol. 2 No. 03 (2023): Research Articles, November 2023
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/joa.v2i03.3217

Abstract

This research aims to see the effect of temperature and extraction time on water content, yield and methoxyl content of coconut fiber pectin. This research was carried out experimentally factoril in Design Random Complete, which consists two treatment that is temperature extraction and extraction time with three repetitions. The results of this research show that treatment temperature extraction very influence yield pectin, rate water and methoxyl pectin while the extraction time affects the water content of the pectin. At a temperature of 70 O C and long extraction 60 minutes obtained the highest average yield of pectin, namely 4.31%, while the average the lowest pectin yield was obtained from treatment with an extraction temperature of 90 ° C and an extraction time of 90 minute. Average rate methoxyl highest obtained from treatment temperature 70 O C and long extraction 30 minute, whereas average percent rate methoxyl Lowest obtained from treatment with an extraction temperature of 90 O C and an extraction time of 90 minutes, namely 8.03% and 7.61% respectively. From the results obtained, it was concluded that the pectin obtained was classified as deep pectin group with high methoxyl content, namely >7%. Average percent of pectin content The lowest was 90 O C and the extraction time was 90 minutes, namely 10.19%, while the highest obtained from treatment with an extraction temperature of 70 O C and an extraction time of 30 minutes. From the results of the analysis this water content means that the water content of the coconut fiber pectin obtained is deep study this has fulfil condition for water content dry pectin that is 10-14%.
Pelatihan Teknologi PHT Cabai Merah pada Kelompok Tani Zanonewuku di Kota Tomohon Baideng, Eva Lienneke; Paat, Frangky J.; Rumende, Roiije R.H.; Butarbutar, Regina R.
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 4, No 6 (2024): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v4i6.880

Abstract

The Zanonewuku farmer group is in Matani Dua Village, which is one of the horticultural centers in Tomohon City. Commodities grown by this farmer group include red chilies (Capsicum annum). The use of chemicals in agricultural activities is still a mainstay for farmers in maximizing agricultural yields. Chemical pesticide spraying is carried out routinely 2 to 3 times every week. Unwise use of chemical pesticides can damage the environment and the final product produced contains excessive chemical residues. The aim of this community service activity is to provide outreach and training regarding integrated pest management (IPM) in chili cultivation. Socialization in the form of education about integrated pest and disease control techniques (IPM) for chili plants using biological materials and the impact of excessive use of chemical pesticides if used in the long term. The training carried out included making soursop leaf extract vegetable pesticides and making trichoderma which is a biological fertilizer and biofungicide. From this activity, farmers gain increased knowledge and skills about alternative uses of natural ingredients in making pesticides and trichoderma.ABSTRAKKelompok tani Zanonewuku berada di Kelurahan Matani Dua, yang merupakan salah satu sentra hortikultura di Kota Tomohon. Komoditas yang ditanam pada kelompok tani ini termasuk cabai merah (Capsicum annum). Penggunaan bahan kimia dalam kegiatan pertanian masih menjadi andalan petani dalam memaksimalkan hasil pertanian. Penyemprotan pestisida kimia dilakukan secara rutin sebanyak 2 hingga 3 kali setiap minggu. Penggunaan pestisida kimia yang kurang bijak dapat merusak lingkungan dan produk akhir yang dihasilkan mengandung residu kimia yang berlebihan. Tujuan kegiatan pengabdian kepada masyarakat ini adalah memberikan sosialisasi dan pelatihan terkait pengendalian hama secara terpadu (PHT) pada budi daya cabai. Sosialisasi berupa penyuluhan tentang teknik pengendalian hama penyakit secara terpadu (PHT) tanaman cabai menggunakan bahan hayati dan dampak penggunaan pestisida kimia secara berlebihan jika digunakan dalam jangka panjang. Pelatihan yang dilakukan meliputi pembuatan pestisida nabati ekstrak daun sirsak dan pembuatan trichoderma yang merupakan pupuk hayati dan biofungisida. Dari kegiatan ini petani mendapatkan peningkatan pengetahuan dan ketrampilan tentang alternatif pemakaian bahan alami dalam membuat pestisida maupun trichoderma.
Co-Authors Adeleyda M. W. Lumingkewas Alden M. Saiya Arthur G. Pinaria Badrun Zaini Baideng, Eva Lienneke Bobby J. V. Polii Bobby Polii Christine F Mamuaja Christine F Mamuaja Christine F Mamuaja Daniel Peter Mantilen Ludong Dantje Tarore David P Rumambi David P. Rumambi David S. Runtunuwu Dedie Tooy Deflly Ansye Shilfana Turang Diane D. Pioh Edy F. Lengkong Ekuin Kojong Elpin E. Alom Frangky Rorong Frans Lumuindong Hengkie Walangitan Herry F Pinatik Herry F. Pinatik I Nyoman Gede Arya Astawa Ireine A. Longdong Islam, Noorul Jackson F. Watung James B. Kaligis Jantje Pelealu Jantje Pelealu Jantje Pongoh Jantje Pongoh Jantje Pongoh Jeanne M. Paulus Jeanne Martje Paulus Jelie Viekson Porong Jemmy Najoan, Jemmy Jimmy Rimbing Joachim Y. E. Oessoe Johannes E. X. Rogi Joice Rompas Jolanda Ch. E. Lamaega, Jolanda Ch. E. Jooudie N. Luntungan Juliet M.E. Mamahit Jusuf Manueke Karim, Irwan Langimanapa Sofia Demmassabu Lumingkewas, Adeleyda Lumuindong, Frans Luntungan, Jooudie Luther A. Latumakulita Luther Latumakulita Malintoi, Friska Mamuaja, Christine Fransin Mandagi, Franklin Maramis, R.T. D. MARJAM M. TODING Max Tulung Meilani Elseday Ma'tan Melkison Sanggel Nangoi, Ronny Oddi R Pinontoan Ogie, Tommy B. Patricia Mandagi Petrus Adam Pioh, Diane Porong, Jellie Purwanto, Yanuar Jarwadi Rafli I. Kawulusan Regina R. Butarbutar Rena Paputungan Rinny Mamarimbing Rinny Mamarimbing Rogi, Johannes E. X Rombe, Nadia Jovanka Ronny Nangoi Ronny Nangoi Ronny Soputan Rorong, Frangky Rumende, Roiije R.H. Salsabella, Syafira Samuel D. A. Kusuma Sandra E. Pakasi Sandra Pakasi Sandra Pakasi Saroyo Saroyo Selvie Tumbelaka Semuel D. Runtunuwu Sirait, Hasanuddin Siti Mutmaina Pondaag Sofia Wantasen Suzanne L. Liwu Tambelu, Merry Feiby Tenda, Edwin Tineke M. Langi Titi Candra Sunarti Tommy B Ogie Tommy B. Ogie Tommy B. Ogie Wariki , Barce Andries Feriano Welly A. Kaurow Widiatmaka Widiatmaka Wiske Rotinsulu Wiske Rotinsulu Yoakhim J.E. Oessoe Yoakhim Y.E. Oessoe