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All Journal Jurnal Fitopatologi Indonesia Jurnal Agroteknos Sistemasi: Jurnal Sistem Informasi AL ISHLAH Jurnal Pendidikan Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Pengabdian Pada Masyarakat INOVTEK Polbeng - Seri Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Community Empowerment J-COSCIS : Journal of Computer Science Community Service CONSEN: Indonesian Journal of Community Services and Engagement Jurnal Teknologi Komputer dan Informasi Contributions of Central Research Institute for Agriculture GMPI Conference Series JURNAL KARYA ILMIAH MULTIDISIPLIN INOVTEK Polbeng - Seri Informatika

Lisnawita Lisnawita

Fakultas Ilmu Komputer, Universitas Lancang Kuning

Author-ID : 307965

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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PELATIHAN MEMBUAT MEDIA PROMOSI DAN INFORMASI DENGAN CANVA SMARTPHONE PADA ORGANISASI SISWA INTRA SEKOLAH Loneli Costaner; Lisnawita; Guntoro
J-COSCIS : Journal of Computer Science Community Service Vol. 4 No. 2 (2024): J-COSCIS : Journal of Computer Science Community Service
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jcoscis.v4i2.19137

Pelatihan ini mengangkat permasalahan dalam Organisasi Siswa Intra Sekolah (OSIS), di mana penggunaan media promosi seperti banner, spanduk, dan materi cetak sangat diperlukan untuk mendokumentasikan kegiatan sekolah. Tantangannya adalah sebagian anggota OSIS kurang memiliki kemampuan desain yang memadai, mengakibatkan kesulitan dalam merancang percetakan yang sesuai. Inisiatif penelitian ini bertujuan memberikan pelatihan desain berbasis smartphone kepada anggota OSIS agar mereka mampu menciptakan media promosi sendiri. Pelatihan ini menggunakan aplikasi Canva Smartphone, memungkinkan siswa merancang dengan mudah tanpa perlu laptop atau komputer. Canva Smartphone memainkan peran krusial dalam mengasah keterampilan kreatif siswa, menghemat biaya cetak, dan memberikan kemudahan akses. Dengan fitur-template beragam, aplikasi ini mendukung siswa dalam menciptakan desain-promosi yang menarik, meningkatkan eksposur kegiatan sekolah. Pelatihan ini melibatkan beberapa tahapan, termasuk pretest, pemaparan materi, praktek Canva, dan posttest. Diharapkan pelatihan ini memberikan manfaat signifikan, meningkatkan kualitas kegiatan OSIS, dan memberikan dukungan pada semangat siswa dalam organisasi siswa serta menciptakan desain yang bermanfaat untuk sekolah.

KONTRIBUSI Pratylenchus brachyurus DALAM MENGINDUKSI GEJALA LAYU PADA TANAMAN NANAS (Ananas comosus (L.) Merr) Lisnawita, Lisnawita; Supramana, Supramana; Suastika, Gede
Jurnal Agroteknos Vol 1, No 2 (2011)
Publisher : Jurnal Agroteknos

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ABSTRACTPineapple is one of the leading export commodities in Indonesia and grown in North Sumatra, South Sumatra, Riau, Bangka, Lampung, West Java and East Java. The main constraint of the cultivation of pineapple is wilt disease caused by plant parasitic nematodes. Research during the years 2008 has been done to study contribution of Pratylenchus brachyurus infection on wilting symptoms induction of pineapple on the pineapple plantation in the Village Bunihayu, Jalancagak district, Subang. The result showed Pratylenchus brachyurus dan P. coffeae (lesion nematode) were the dominant nematodes observed on the location which the community prevalence reached 82.50% and 17.50%. Mapping relationships of nematode populations at various levels of plant growth found that the two nematodes were contributing to the incidence and severity levels of wilt disease, especially in the generative phase of pineapple in the field. Keywords: Pratylenchus brachyurus, pineapple wilt, pineapple (Ananas comosus (l.) Merr)

STUDI PENGARUH SUHU DAN INTENSITAS RADIASI MATAHARI TERHADAP PERKEMBANGAN PENYAKIT PATIK PADA TEMBAKAU Tantawi, Ahmad Rafiqi; Hadisutrisno, Bambang; Semangun, Haryono; Hartana, I; Lisnawita, Lisnawita
Jurnal Agroteknos Vol 3, No 3 (2013)
Publisher : Jurnal Agroteknos

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The Study on Contribution of Temperature and Solar Radiation Intensity to Frogeye Disease Development on Tobacco. Tobacco is an important plant in Indonesia, due to its contribution to Indonesian economic and employment opportunity. One of the limiting factors in tobacco production is frogeye leaf spot, a fungal disease caused by Cercospora nicotianae Ell. et Ev. Epidemic of this disease was supposed to have a close relationship with weather aspects, such as wind velocity, temperature, solar radiation intensity and relative humidity.. The experiment carried out at Mycology Laboratory, Study Program of Plant Pest and Disease, Faculty of Agriculture, UGM and two tobacco plantations in Jember a nd Klaten to study contribution of temperature and solar radiation intensity to frogeye disease development on tobacco. The results showed that frogeye disease development was support by weather elements. i.e. temperature, but solar radiation intensity is not important factor to disease development. Key words: tobacco, temperature, solar radiation intensity, frogeye disease development

MANAJEMEN BANDWIDTH MENGGUNAKAN METODE HIERARCHICAL TOKEN BUCKET Lisnawita, Lisnawita
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 7 No. 1 (2016): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Abstrak- Internet pada era sekarang ini adalah salah satu kebutuhan manusia, karena itu dibutuhkan bandwidth yang besar supaya bisa download atau upload dengan cepat, tapi karena keterbatasan bandwidth yang ada, maka perlu Manajemen bandwidth dengan metode Hierarchical Token Bucket(HTB), metode ini banyak digunakan untuk mengatasi permasalahan pada koneksi Internet, memaksimalkan penggunaan bandwidth sehingga semua user dapat menggunakan bandwidth secara adil dan semua user mendapatkan kenyamanan dan kepuasan ketika browsing, Penelitian ini menggunakan metode Hierarchical Token Bucket(HTB) yaitu salah satu metode yang dirancang untuk bisa melakukan manajemen bandwidth dengan baik, dimana algoritma ini menerapkan disiplin antrian yang mempunyai kelebihan dalam pembatasan trafik pada tiap level maupun klasifikasi, sehingga bandwidth yang tidak dipakai oleh level yang tinggi dapat digunakan atau dibagi oleh level yang lebih rendah Kata Kunci: Bandwidth,Manajemen Bandwidth,HTB Abstract -Internet in this era is one of human needs, because it takes a large bandwid thin order to download or upload quickly,but due to the limited bandwidth available, the necessary management bandwidth by using Hierarchical Token Bucket(HTB), this method is widely used for solve the problems on Internet connections, maximizing the use of bandwidth so that all users can use the bandwidth fairly and users get the comfort and satisfaction when browsing, this researchusing Hierarchical Token Bucket(HTB) is one method that is designed to be able to perform bandwidth management,where the algorithm queuing discipline which have advantage sin traffic restriction soneach level and classification, so that the bandwidth is not used by a high level can be used or share by a low level Keywords: Bandwidth, Bandwidth Management, HTB

Sistem Informasi Geografis Pemetaan Kandang Perternakan Di Kabupaten Padang Pariaman Berbasis Android Rizki, Syafrika Deni; Van FC, Lucky Lhaura; Lisnawita, Lisnawita
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 7 No. 2 (2016): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Abstrak- Perancangan aplikasi sistem informasi geografis untuk pemetaan dan pencarian Kandang Peternakan Di Kabupaten Padang Pariaman berbasis android bertujuan untuk memberikan informasi lokasi Kandang Peternakan kepada masyarakat yang ada di Kabupaten Padang Pariaman maupun masyarakat luar Kabupaten Padang Pariaman tersebut, serta memberikan informasi-informasi mengenai detail Kandang Peternakan. Sehingga diharapkan dapat di akses kapanpun dan dimana pun.Pembuatan Sistem Informasi Geografis berbasis android ini dibuat menggunakan MapInfo Professional 9.0 sebagai dasar pembuatan peta aplikasi, Eclipse sebagai dasar Aplikasi di android , dan Giscloud sebagai server penyimpanan peta secara online.Aplikasi ini diharapkan dapat dipergunakan untuk mendapatkan informasi Kandang Peternakan Di Kabupaten Padang Pariaman yang disajikan dalam bentuk sebuah aplikasi peta Dan Informasi tentang Kandang Peternakan. Aplikasi ini dapat digunakan secara online maupun offline. Kata kunci : Sistem informasi geografis , MapInfo , Eclipse, Giscloud, Android Abstract- The design of the application of geographic information system for mapping and Cages Animal Husbandry android-based In the district of Padang Pariaman to provide location information Cage Ranch to the people in the district of Padang Pariaman and communities outside Padang Pariaman district, as well as provide information about the details of the Cage Ranch. android based Geographic Information System was created using MapInfo Professional 9.0 as the basis for the map application, Eclipse as the basis of applications in the android, and Giscloud as maps online. The storage server aplication is expected to be used for get information Cage Ranch in Padang Pariaman district were presented in the form of a map application and information about the Cage Ranch. This application can be used online or offline. Keywords: geographic information system, MapInfo , Eclipse, Giscloud, Android

Implementation of Naïve Bayes for Classification of Learning Types Lisnawita, Lisnawita; Guntoro, Guntoro; Musfawati, Musfawati
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2022): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v13i1.9825

Learning is a process that is carried out by each individual from not knowing to knowing, or from bad behavior to being good, so that it has a good change for the individual, Each individual has a learning type in receiving the material presented by the teacher, but not all individuals understand what type of learning they need, The purpose of the research is to determine the type of learning of the students of the Faculty of Computer Science. The method used is nave Bayes for the accuracy of its calculations. The results of this study are the classification of visual learning types as many as 50 people, for audio as many as 24 people, while kinesthetic as many as 25 people, for the Informatics Engineering Study Program as many as 61, consists of 37 visual learning types, Auditory 14 people, Kinesthetic 10 people, While the Information Systems Study Program is 37 people, where is Visual 14 people, Auditory 9 people and Kinesthetic 14 people. With this classification, it can help lecturers apply learning methods that are suitable for their students. The best Naïve Bayes accuracy rate is 88.89%

Salicylic Acid Accumulation in Tomato Root Induced by Endopytic Bacteria and Exogenous Salicylic Acid Response to Ralstonia syzygii subsp. indonesiensis Infection Nababan, Triwanto; Lisnawita, Lisnawita; Safni, Irda
Contributions of Central Research Institute for Agriculture Vol. 18 No. 4 (2024): October: Agriculture and related sciences
Publisher : Central Research Institute For Agriculture

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Ralstonia syzygii subsp. indonesiensis causes bacterial wilt disease is a soil-borne pathogen that causes serious damage and major losses in tomato production. To overcome this, the use of Arthrobacter sp. and Bacillus thuringiensis as biological elicitors and salicylic acid as a chemical elicitor were teste their capacity to induce tomato plants to become resistant. Experiments were carried out on the susceptible tomato cultivar "Servo F1" in sterilized soil to test the elicitor's effectiveness in triggering plant defense mechanisms in response to salicylic acid accumulation in afflicted roots. Arthrobacter sp. and salicylic acid treatments significantly reduced the disease severity due to bacterial wilt compared to control treatment within three weeks after inoculation. Tomato with once week application intensity was also better than every two weeks application intensity. The AUDPC value showed by Arthrobacter sp. was 1449.7 with an application intensity every two weeks and 148 with an application intensity once a week compared to control with an AUDPC value of 4962.9. Furthermore, endophytic bacteria and salicylic acid can induce salicylic acid accumulation in pathogen-inoculated tomato roots. The results show that the elicitor is either biological or chemicals play an important role as inducers of plant defenses, thereby reducing bacterial wilt disease.

Implementasi Algoritma Naïve Bayes Classifier Untuk Klasifikasi Penerima Beasiswa BUMN Sekota Dumai Nugraha, Alif; Al-ghifari, Faza; Panigoran, Abdullah; Desmawan, Wahyu; Lisnawita, Lisnawita
Jurnal Karya Ilmiah Multidisiplin (JURKIM) Vol. 4 No. 2 (2024): Jurnal Karya Ilmiah Multidisiplin (Jurkim)
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jurkim.v4i2.20944

Secara konsisten otoritas publik menawarkan berbagai jenis hibah/bantuan kepada siswanya, salah satu bantuan/hibah dari bumn tidak terkecuali dari unversitas mana saja asal tempat tinggalnya. Secara konsisten jumlah calon penerima hibah ini terus bertambah, namun jumlah yang didapat setiap tahun tetap stabil. Selanjutnya, penting untuk membangun kerangka untuk melengkapi penambangan informasi dari tumpukan informasi ini yang akan dimanfaatkan untuk tujuan tertentu, salah satunya untuk menyelidiki kewajaran penerima hibah agar sempurna. Bayes Classifier merupakan metodologi yang mengacu pada hipotesis Bayes yang menggabungkan informasi masa lalu dengan informasi baru. Jadi perhitungan karakterisasi bersifat mendasar namun memiliki ketelitian yang tinggi. Oleh karena itu, pemeriksaan ini akan menunjukkan kapasitas Bayes Classifire dalam mengelompokkan informasi calon penerima hibah/bantuan yang menjelaskan kemungkinan pemberian hibah/bantuan bumn. Data pelamar beasiswa telah diolah terlebih dahulu agar “bersih” dan siap untuk diproses lebih lanjut. Setelah pra- pemrosesan ini, Naive Bayes Classifier digunakan untuk mengklasifikasikan data, sehingga menghasilkan model probabilitas untuk mengklasifikasikan pelamar beasiswa berikutnya. Dari hasil pengujian ketepatan model kerangka kerja yang dibuat menghasilkan nilai akurasi tertinggi sebesar 75,00%

Feature Extraction Analysis for Diabetic Retinopathy Detection Using Machine Learning Techniques Loneli Costaner; Lisnawita Lisnawita; Guntoro Guntoro; Abdullah Abdullah
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4600

Diabetic retinopathy is a serious complication of diabetes that can lead to blindness if not detected and treated early. Automated detection of diabetic retinopathy requires effective feature extraction techniques to enhance diagnostic accuracy. This study aims to develop a method for detecting diabetic retinopathy by utilizing Local Binary Pattern (LBP) combined with wavelet transform, and then classifying the extracted features using Support Vector Machine (SVM). The approach includes feature extraction from retinal images using LBP and wavelet transform. The extracted features are subsequently classified with SVM to evaluate performance in detecting diabetic retinopathy. Analysis results show that the dominant feature is found in the fifth row with a value of 0.57006, indicating the effectiveness of the LBP method in feature extraction. The developed model demonstrates high performance with an accuracy of 95.59%, precision of 96%, recall of 97.96%, and F1-score of 96.97%. The combination of feature extraction methods with SVM proves to be effective and reliable in detecting diabetic retinopathy, offering low error rates and high accuracy, thus potentially serving as a valuable tool in clinical diagnosis

Hyperparameter Optimization of the Perceptron Algorithm for Determining the Feasibility of Research Proposals and Community Service Lisnawita, Lisnawita; Guntoro, Guntoro; Costaner, Loneli
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 2 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v15i2.17812

Higher education in Indonesia includes diploma, bachelor, master, specialist, and doctoral programmes organised by universities. The Institute for Research and Community Service (LPPM) is in charge of assessing lecturers' proposals. This research aims to optimise the Perceptron algorithm to assess proposal eligibility using Turnitin plagiarism scores and reviewer scores. The optimisation results show that Perceptron accuracy reaches 99.44% to 99.63% at various training data ratios. GridSearchCV achieved 100% accuracy, while RandomisedSearchCV recorded accuracy between 98.89% to 99.63%. GridSearchCV also had the lowest MSE , despite higher Loss values, indicating a sacrifice in generalisation ability. Perceptron Default and RandomisedSearchCV had higher MSE and Loss, but remained low. GridSearchCV's AUC reached 100%, while Perceptron Default and RandomisedSearchCV showed very high AUC, ranging from 99.25% to 99.98%. Overall, the Perceptron algorithm is effective in assessing proposal eligibility with high accuracy.

Co-Authors Abdullah Abdullah AHMAD RAFIQI TANTAWI Ahmad Zamsuri, Ahmad Al-ghifari, Faza Anto Ariyanto Antonius Fernando Asma Alhusna Bambang HADISUTRISNO Budia Misri Dafwen Toresa David Setiawan Desmawan, Wahyu Edriyansyah Elvira Asril, Elvira Evi Lianda Fajrizal Fajrizal, Fajrizal Fana Wiza, Fana Febi Yanto Fenty Widya Fuad Renadi GEDE SUASTIKA Guntoro Guntoro, Guntoro Hartana, I Haryono Semangun Ikhsan Hidayat Irda Safni Jeni Wardi Johar, Olivia Anggie Keumala Anggraini Latifa Siswati Loneli Costaner loneli costaner Lucky Lhaura Van FC Lucky Lhaura Van FC, Lucky Lhaura Mariza Devega Muhamad Sadar, Muhamad Musfawati Musfawati Musfawati Musfawati Musfawati Musfawati Mustika Mustika Muzdalifah, Indah NABABAN, TRIWANTO Novisa Rahmadani novi Nugraha, Alif Nurhamin Nurhamin Pandu Pratama Putra, Pandu Pratama Panigoran, Abdullah Rezmia Febrina Ririn Sari Wati Rizky Octa Putri Charin Rometdo Muzawi, Rometdo RR. Ella Evrita Hestiandari Supramana Susi Handayani Sutejo Sutejo Syafrika Deni Rizki, Syafrika Deni Tantawi, A. Rafiqi Toresa, Dafwen Yogi Yunefri, Yogi

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