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<![CDATA[Pengembangan Kemampuan Kader Kesehatan dalam Menurunkan Resiko Stunting ]]>
<![CDATA[Alifatin, Aini]]>;
<![CDATA[Anggraini, ika Rizki]]>;
<![CDATA[Aini, Nurul]]>;
<![CDATA[Hayatin, Nur]]>
<![CDATA[ JAST : Jurnal Aplikasi Sains dan Teknologi Vol 6, No 2 (2022): EDISI DESEMBER 2022 ]]>
Publisher : <![CDATA[Universitas Tribhuwana Tunggadewi Malang ]]>
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DOI: 10.33366/jast.v6i2.4316
<![CDATA[Sisir village cadres have made various efforts to reduce the risk of stunting by providing additional food for three months and then evaluating the increase in height and weight, but the changes have been insignificant. Other efforts are still needed that can spur and trigger success in alleviating the problem of stunting. This service program aims to increase the competence of health cadres in preventing the risk of stunting. The method used is through training (training), which involves activities giving planned special instructions, in this case, instructions or special training on making healthy menus to prevent toddler stunting, including an introduction to protein sources and calculations—calories needed by Toddlers. The mentoring results obtained an increase in understanding from the cadres, with the lowest result being 58% and the highest being 95%. Another result is an increase in the skills of cadres in processing and producing healthy nutrition for toddlers to prevent stunting.ABSTRAKDalam menurunkan resiko stunting, kader kelurahan Sisir sudah melakukan berbagai upaya dengan melakukan pemberian makanan tambahan selama 3 bulan, dan selanjutnya sudah dilakukan evaluasi terhadap peningkatan tinggi dan berat badan, namun perubahan yang didapatkan belum signifikan. Masih diperlukan upaya lain yang dapat memacu dan memicu keberhasilan mengentaskan masalah stunting. Tujuan dari program pengabdian ini adalah untuk meningkatkan kompetensi kader Kesehatan dalam mencegah resiko stunting. Metode yang dilakukan adalah melalui pelatihan (training) dimana melibatkan aktivitas-aktivitas pemberian instruksi-instruksi khusus yang direncanakan, dalam hal ini adalah instruksi atau pelatihan khusus pembuatan menu sehat untuk mencegah stunting bagi balita, termasuk di dalamnya pengenalan tentang sumber-sumber protein dan penghitungan kalori yang dibutuhkan Balita. Hasil dari pendampingan, diperoleh peningkatan pemahaman dari para kader dengan hasil terendah adalah 58% dan tertinggi adalah 95%. Hasil lainnya adalah peningkatan skill kader dalam pengolahan dan pembuatan nutrisi sehat balita dalam mencegah stunting.]]>
<![CDATA[Content Classification based-on Latent Semantic Analysis and Support Vector Machine (LSA-SVM) ]]>
<![CDATA[Marthasari, Gita Indah]]>;
<![CDATA[Hayatin, Nur]]>;
<![CDATA[Yuniarti, Maulidya]]>
<![CDATA[ Jurnal Transformatika Vol. 19 No. 2 (2022): January 2022 ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Universitas Semarang ]]>
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DOI: 10.26623/transformatika.v19i2.2745
<![CDATA[The diversity of the content of a web page can have a negative impact if used by the wrong user. Almost a half of internet users are children. Therefore, it is important to classify web pages to find out which pages are worthy of being seen by children and that are not feasible. One method that can be used is the Support Vector Machine (SVM) algorithm. SVM is a binary classification whose working principle is to find the best hyperplane to separate the two classes. To obtain better classification accuracy, the SVM is combined with the Latent Semantic Analysis (LSA) algorithm. The data used in this study were taken from the DMOZ web data which has been classified into two categories. The data is then entered into the pre-processing stage for further feature extraction using LSA. The LSA algorithm is used to find out the semantic similarities of words and text contained in web pages. The results of feature extraction are then classified using SVM with RBF kernel. Based on the testing result, we obtain a classification accuracy of 64%.]]>
<![CDATA[Evaluasi Heuristik Website berbasis Framework Sirius dengan Pengaturan Prioritas menggunakan Teknik Moscow ]]>
<![CDATA[Marthasari, Gita Indah]]>;
<![CDATA[Hayatin, Nur]]>
<![CDATA[ Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 2: April 2020 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer, Universitas Brawijaya ]]>
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DOI: 10.25126/jtiik.2020701662
<![CDATA[Kualitas merupakan faktor utama kesuksesan sebuah website. Salah satu karakteristik kualitas perangkat lunak menurut ISO 9126 adalah usabilitas. Pengukuran usabilitas sebuah website adalah hal yang penting mengingat sangat besarnya jumlah website saat ini. Salah satu metode yang dapat digunakan untuk mengevaluasi usabilitas website adalah framework Sirius. Sirius dapat menghasilkan nilai usabilitas global dan daftar elemen antarmuka sistem yang perlu diperbaiki. Namun, elemen-elemen ini belum diatur berdasarkan prioritas pengembang sistem dan hanya mempertimbangkan nilai peningkatan yaitu prosentasi perbaikan nilai usabilitas global jika elemen tersebut diperbaiki. Untuk itu dibutuhkan sebuah teknik untuk memprioritaskan elemen-elemen tersebut berdasarkan sudut pandang pengembang sistem sehingga sesuai dengan sumber daya yang dimiliki oleh pihak pengembang. Salah satu teknik yang dapat digunakan adalah Moscow. Moscow dapat mengelompokkan seluruh kebutuhan ke dalam 4 (empat) kelas berdasarkan tingkat prioritasnya. Penelitian ini melakukan modifikasi terhadap framework Sirius dengan menambahkan tahap perangkingan menggunakan teknik Moscow. Berdasarkan hasil pengujian, penambahan tahap pengaturan prioritas dengan Teknik Moscow memberikan urutan kriteria usability yang lebih baik dalam hal nilai bisnis, resiko, dan biaya pembangunan website. Setiap tim pengembang website yang dianalisis memberikan hasil pengaturan prioritas Moscow yang berbeda-beda. Bagi tim website Lective, kriteria usability paling penting adalah berkaitan dengan aspek labelling, sedangkan bagi pengembang website Seminar Indonesia, aspek paling penting adalah kelompok comprehensibility and ease of interaction. Adapun pengembang website Simkesmas lebih menekankan pada aspek control and feedback. AbstractQuality became the key element for website deployment. Based on the ISO 9126, one of the quality characteristics in software engineering is usability. The usability measurement on a website is an essential topic nowadays along with the incremental growth of it. One of the evaluation methods that can be used for analysing website usability is Sirius Framework. This method can produce global usability values and the list of a user interface element that should be modified. However, those elements have not been adjusted based on developer priority system which only considers the increased value of each element - the percentage of modified global usability value. Therefore, A technique called MoSCoW was introduced for prioritizing those elements from a developer point of views which corresponds to its available resource. MoSCoW can categorize all of the requirements into 4 distinct classes based on priority. This paper was performed for extending the Sirius Framework for implementing the ranking system by using MoSCoW. The experiment results showed that the MoSCoW method for priority adjustment process could produce better usability criteria on business, risk, and cost value during website development.]]>
<![CDATA[EVALUASI PELAKSANAAN KEGIATAN UPKD ANDALAS UNTUK SEKTOR PERTANIAN DARI DANA BENGKULU REGIONAL DEVELOPMENT PROJECT (BRDP) DI DESA TAPAK GEDUNG KABUPATEN KEPAHIANG ]]>
<![CDATA[Nufus, Nurhayatin]]>;
<![CDATA[Nabiu, Musriyadi]]>;
<![CDATA[Susilawati, Tati]]>
<![CDATA[ Jurnal AGRISEP JURNAL AGRISEP VOL 04 NO 01 2005 (MARCH) ]]>
Publisher : <![CDATA[Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu ]]>
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DOI: 10.31186/jagrisep.4.1.156-166
<![CDATA[This research was aimed at exploring the implementation of economic scheme program at UPKD Andalas and analyzing income discrepancy between member and non-member of UPKD Andalas. This research was conducted at UPKD Andalas District Kepahiang. Data was collected to 27 members and 21 non-members. These respondents were classified into paddy and coffee farmers. The results show that the implementation of economic scheme program was not running optimal yet which is indicated by unimplemented the rights and dutiesl. Rank spearman test show tyha relationship between the implementation level of the program and farmer income. However, there is insignificant income discrepancy between member and non-member incomes.]]>
<![CDATA[POLA DINAMIS DISTRIBUSI BERAS UNTUK OPERASI PASAR DOlOG BENGKUlU ]]>
<![CDATA[Nufus, Nurhayatin]]>
<![CDATA[ Jurnal AGRISEP JURNAL AGRISEP VOL 05 NO 01 2006 (JANUARY) ]]>
Publisher : <![CDATA[Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu ]]>
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DOI: 10.31186/jagrisep.5.1.7-23
<![CDATA[This research aimed to analyze the moving average of rice distribution and the effect of four decompositon components for market operation along 1995 - 2001 period. The results show that dinamic distribution pattern based on syclicaJ trend tends to increasing along with consumption. There were two clearly variations first quarter / and IV with higher distribution index and quarter 1/ and III with lower index. Under quarter I and IV known as deficit the planting season, while quarter 1/ and III known as harvest season where as the people has plenty of stock in cyl/os. Finally the random component (/) was iffluenced much to the distribution pattern,it was relevance to goverment policy to ruie the rice policy and distrbution.]]>
<![CDATA[ESTIMASI FUNGSI PRODUKSI DAN EFISIENSI ALOKASI SUMBERDAYA PETANI KEDELAI DI LOMBOK BARAT ]]>
<![CDATA[Nufus, Nurhayatin]]>
<![CDATA[ Jurnal AGRISEP JURNAL AGRISEP VOL 03 NO 01 2004 (JANUARY) ]]>
Publisher : <![CDATA[Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu ]]>
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DOI: 10.31186/jagrisep.3.1.145-148
<![CDATA[This research aims to analyses factors influence on production and resources allocation of soybeans by farmer at West Lombok. Production function was estimated from survey data and technical efficiency was used to indicate farm management level through maximum likelihood, which was transformed into frontier stochastic production function. The land size, fertilizer (urea and TSP), labor and pesticide influence the production of soybean at site. The technical efficciency level of Soybean fann was 95,6 percent The usage of TSP and pesticide reached allocative efficiency while urea and seeds were al/ocative efficiency yet ]]>
<![CDATA[Optimization of Sentiment Analysis for Indonesian Presidential Election using Naïve Bayes and Particle Swarm Optimization ]]>
<![CDATA[Hayatin, Nur]]>;
<![CDATA[Marthasari, Gita Indah]]>;
<![CDATA[Nuarini, Lia]]>
<![CDATA[ JOIN (Jurnal Online Informatika) Vol 5 No 1 (2020) ]]>
Publisher : <![CDATA[Department of Informatics, UIN Sunan Gunung Djati Bandung ]]>
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DOI: 10.15575/join.v5i1.558
<![CDATA[Twitter can be used to analyze sentiment to get public opinion about public figures to find a trend in positive or negative responses, especially to analyze sentiments related to presidential candidates in the 2019 election in Indonesia. Naïve Bayes (NB) can be used to classify tweet feed into polarity class negative or positive, but it still has low accuracy. Therefore, this study optimizes the Naïve Bayes algorithm with Particle Swarm Optimization (NB-PSO) to classify opinions from twitter feeds to get a good accuracy of public figures sentiment analysis. PSO used to select features to find optimization values to improve the accuracy of Naïve Bayes. There are four steps to optimize NB using PSO, i.e., initializing the population (swarm), calculate the accuracy value that matched with selected features, selected the best accuracy of classification, and updating position and velocity. From this study, the group of tweets was obtained based on the positive and negative sentiments from the community towards two Indonesia presidential candidates in 2019. The NB-PSO test shows the accuracy result of 90.74%. The result of accuracy increases by 4.12% of the NB algorithm. In conclusion, the inclusion of the Particle Swarm Optimization algorithm for Naïve Bayes classification algorithm gives a significant accuracy, especially for sentiment analysis cases.]]>
<![CDATA[Sentiment Analysis from Indonesian Twitter Data Using Support Vector Machine And Query Expansion Ranking ]]>
<![CDATA[Atsqalani, Hasbi]]>;
<![CDATA[Hayatin, Nur]]>;
<![CDATA[Aditya, Christian Sri Kusuma]]>
<![CDATA[ JOIN (Jurnal Online Informatika) Vol 7 No 1 (2022) ]]>
Publisher : <![CDATA[Department of Informatics, UIN Sunan Gunung Djati Bandung ]]>
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DOI: 10.15575/join.v7i1.669
<![CDATA[Sentiment analysis is a computational study of a sentiment opinion and an overflow of feelings expressed in textual form. Twitter has become a popular social network among Indonesians. As a public figure running for president of Indonesia, public opinion is very important to see and consider the popularity of a presidential candidate. Media has become one of the important tools used to increase electability. However, it is not easy to analyze sentiments from tweets on Twitter apps, because it contains unstructured text, especially Indonesian text. The purpose of this research is to classify Indonesian twitter data into positive and negative sentiments polarity using Support Vector Machine and Query Expansion Ranking so that the information contained therein can be extracted and from the observed data can provide useful information for those in need. Several stages in the research include Crawling Data, Data Preprocessing, Term Frequency – Inverse Document Frequency (TF-IDF), Feature Selection Query Expansion Ranking, and data classification using the Support Vector Machine (SVM) method. To find out the performance of this classification process, it will be entered into a configuration matrix. By using a discussion matrix, the results show that calcification using the proposed reached accuracy and F-measure score in 77% and 68% respectively.]]>
<![CDATA[Pelaksanaan Administrasi Kepegawaian di SMP Negeri 44 Palembang ]]>
<![CDATA[Nurhayatin, Nurhayatin]]>;
<![CDATA[Setyaningsih, Kris]]>;
<![CDATA[Rohman, Asep]]>
<![CDATA[ ALACRITY : Journal of Education Volume 4 Issue 3 Oktober 2024 ]]>
Publisher : <![CDATA[LPPPI Publishing ]]>
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DOI: 10.52121/alacrity.v4i3.392
<![CDATA[Artikel ini berjudul “Pelaksanaan Administrasi Kepegawaian di SMP Negeri 44 Palembang”. Penelitian ini bertujuan untuk mengetahui pelaksanaan administrasi kepegawaian di SMP Negeri 44 Palembang, dan untuk mengetahui faktor penghambat dan faktor pendukung dalam pelaksanaan administrasi kepegawaian di SMP Negeri 44 palembang. Dalam penelitian ini, peneliti menggunakan jenis penelitain kualitatif dan pendekatan deskriptif. Penelitian ini dilakukan di SMP Negeri 44 Palembang. Informan dalam penelitian ini adalah kepala sekolah, kepala tata usaha, guru. Teknik pengumpulan data dalam penelitian ini menggunakan abservasi, wawancara dan dokumntasi, sumber data diperoleh dari informan kunci yakni kepala tata usaha dan informan pendukung yakni reduksi data, penyajian data dan verifikasi data. Hasil penelitian menunjukkan pelaksanaan administrasi kepegawaian di SMP Negeri 44 Palembang sudah berjalan dengan baik karena hal ini dilihat dari segi waktu yang dilaksanakan lebih efektif dan efisien jika menerapkan, komunikasi antara pemimpin dan karyawan sangat diperlukan untuk mencapai tujuan dan Lembaga, koordisi adalah proses mengintegrasikan (memadukan) menyingkronisasikan dan menyedehanakan pelaksanaan tugas yang terpisah-pisah secara terus menerus untuk mencapai tujuan secara efektif dan efisien, motivasi adalah suatu kegiatan yang dilakukan oleh atasan atau pimpinan terhadap bawahnya agar bekerja dengan baik dan semangat melakukan tugas dan tanggung jawab, pengarahan yang baik bukanlah suatu bentuk kedikatatoran. Peran pekerja mengharapkan dapat diberikan informasi-informasi yang diperlukan mengenai jumlah, kualitas dan batas kebiasaan berpengaruh pada semua bentuk pengarahan.]]>
<![CDATA[Text Summarization on Verdicts of Industrial Relations Disputes Using the Cross-Latent Semantic Analysis and Long Short-Term Memory ]]>
<![CDATA[Wicaksono, Galih Wasis]]>;
<![CDATA[Hakim, Muhammad Nafi Maula]]>;
<![CDATA[Hayatin, Nur]]>;
<![CDATA[Hidayah, Nur Putri]]>;
<![CDATA[Sari, Tiara Intana]]>
<![CDATA[ JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023) ]]>
Publisher : <![CDATA[Society of Visual Informatics ]]>
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DOI: 10.30630/joiv.7.3.2052
<![CDATA[The information presented in the documents regarding industrial relations disputes constitutes four legal disputes. However, too much information leads to difficulty for readers to find essential points highlighted in industrial relations dispute documents. This research aims to summarize automated documents of court decisions over industrial relations disputes with permanent legal force. This research involved 35 documents of court decisions obtained from Indonesia’s official Supreme Court website and employed an extractive summarization approach to summarize the documents by utilizing Cross Latent Semantic Analysis (CLSA) and Long Short-Term Memory (LSTM) methods. The two methods are compared to obtain the best results CLSA was employed to analyze the connection between phrases, requiring the ordering of related words before they were converted into a complete summary. Then, the use of LSTM is combined with the Attention module to decoder and encoder the information entered so that it becomes a form that can be understood by the system and provides a variety of splitting of documents to be trained and tested to see the highest performance that the system can generate. The research has found out that the CLSA method gave a precision of 79.1%, recall score of 39.7%, and ROUGE-1 score of 50.9%, and the use of LSTM was able to improve the performance of the CLSA method with the results obtained 93.6%, recall score of 94.5 %, and ROUGE-1 score of 93.9% on the variation of splitting 95% training and 5% testing.]]>
