Article Per Year (5 Year)
p-Index From 2020 - 2025
6.472
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Dedikasi IPTEK The Journal of Engineering Techno.Com: Jurnal Teknologi Informasi TEKNOLOGI: Jurnal Ilmiah Sistem Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Journal of Information Systems Engineering and Business Intelligence Register: Jurnal Ilmiah Teknologi Sistem Informasi Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control DoubleClick : Journal of Computer and Information Technology JAST : Jurnal Aplikasi Sains dan Teknologi KOMPUTIKA - Jurnal Sistem Komputer PEDULI: Jurnal Imiah Pengabdian Pada Masyarakat Dialektika: Jurnal Ekonomi dan Ilmu Sosial Jurnal Repositor Journal of Community Service and Empowerment Jurnal Riset Pendidikan MIPA ALACRITY : Journal Of Education Jurnal Perempuan & Anak Jurnal Sintesis: Penelitian Sains, Terapan dan Analisisnya Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis
Nur Hayatin
Universitas Muhammdiyah Malang
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

Published : 72 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 72 Documents
Search

 4   5   6   7   8 
Increasing teacher professionalism through learning innovative, creative and effective at Aisyiyah Boarding School Malang Andini, Thathit Manon; Alifatin, Aini; Kurniawati, Dini; Firdiyanti, Retno; Hayatin, Nur
Journal of Community Service and Empowerment Vol. 5 No. 2 (2024): August
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jcse.v5i2.34086

Abstract

Law No. 14 of 2005 concerning Teachers and Lecturers article 10 mandates that every teacher is required to meet the academic qualifications and teacher competencies that apply nationally, so that coaching to increase teacher competency needs to always receive more attention in its development. This service aims to increase teacher professionalism through innovative, creative and effective learning. This service was carried out at SMA Aisyiyah Boarding School Malang (SMA ABSM) in October 2022. The activity was attended by 13 teachers from various subjects. The methods used are two-way communication methods, lectures and training. This activity provides an explanation to teachers about strengthening teacher competency to become quality teachers and outstanding performance. This activity trains teachers in terms of pedagogical, professional, social and personal skills, and also equips teachers on how to be interesting when teaching and liked by their students, thereby creating innovative, creative and effective learning. This community service only reaches the stage of delivering material, and not yet at the stage of evaluating and assisting teachers in daily practice. Therefore, in the future it is hoped that there will be community service activities that focus on assisting teachers' daily practices, teaching practice, and reflecting together.
Peningkatan Daya Saing UMKM Rengginang dengan Teknologi Pengeringan Menggunakan Mesin Kolektor Tenaga Surya Alifatin, Aini; Andini, Thathit Manon; Nurhayatin, Nurhayatin
JAST : Jurnal Aplikasi Sains dan Teknologi Vol 5, No 2 (2021): EDISI DESEMBER 2021
Publisher : Universitas Tribhuwana Tunggadewi Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/jast.v5i2.2847

Abstract

UMKM Rengginang in Kromengan village since 2002 has been selling rengginang wholesale, which is produced daily for approximately 100 to 150 kg in the form of raw onion-flavored rengginang. However, the number of orders is uncertain in one month. The rengginang UMKM group feels the condition that has lasted for almost 17 years to be very unprofitable and less able to develop because they are only waiting for customers to contact for deposits with uncertain amounts and times. Another obstacle is the drying process, which takes time and relies on the sun upon, limiting the production process. Assistance is provided by training in making rengginang by providing innovations in taste, shape, color, and packaging. This assistance also uses technology that can increase and speed up production in the form of packaging technology and solar drying. The marketing process is carried out offline and online, as well as socializing how to build networking, product promotion, financial management, and licensing in the form of proper hygiene to halal certificates. This mentoring program can improve the quality of partner resources to improve the economy of women and become a pilot project for empowering other women.ABSTRAKUMKM Rengginang desa Kromengan sejak tahun 2002 menjual rengginang secara grosir, yang diproduksi setiap hari kurang lebih 100 sampai dengan 150 kg berupa rengginang mentah rasa bawang. Namun pesanan tidak menentu jumlahnya dalam satu bulan. Kondisi yang sudah berlangsung selama hampir 17 tahun ini dirasakan oleh kelompok UMKM rengginang sangat tidak menguntungkan dan kurang bisa berkembang karena hanya menunggu pelanggan menghubungi untuk setor dengan jumlah dan waktu yang tidak pasti. Kendala lain adalah proses pengeringan yang membutuhkan waktu dan mengandalkan matahari, membuat proses produksi menjadi terbatas. Pendampingan dilakukan dengan pelatihan pembuatan rengginang dengan memberikan inovasi pada cita rasa, bentuk, warna, dan kemasan. Pendampingan ini juga menggunakan teknologi yang dapat meningkatkan dan mempercepat produksi, berupa teknologi packaging, dan pengeringan dengan tenaga surya. Untuk proses pemasaran dilakukan offline maupun online, sekaligus sosialisasi cara membangun networking, promosi produk, manajemen keuangan dan  lisensi berupa layak hygiene sampai sertifikat halal. Program pendampingan ini mampu meningkatkan kualitas sumber daya mitra sehingga mampu meningkatkan perekonomian perempuan serta menjadi pilot project untuk pemberdayaan perempuan lainnya.
Pengembangan Kemampuan Kader Kesehatan dalam Menurunkan Resiko Stunting Alifatin, Aini; Anggraini, ika Rizki; Aini, Nurul; Hayatin, Nur
JAST : Jurnal Aplikasi Sains dan Teknologi Vol 6, No 2 (2022): EDISI DESEMBER 2022
Publisher : Universitas Tribhuwana Tunggadewi Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/jast.v6i2.4316

Abstract

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.
Content Classification based-on Latent Semantic Analysis and Support Vector Machine (LSA-SVM) Marthasari, Gita Indah; Hayatin, Nur; Yuniarti, Maulidya
Jurnal Transformatika Vol. 19 No. 2 (2022): January 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i2.2745

Abstract

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%.
Evaluasi Heuristik Website berbasis Framework Sirius dengan Pengaturan Prioritas menggunakan Teknik Moscow Marthasari, Gita Indah; Hayatin, Nur
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 2: April 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020701662

Abstract

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.
EVALUASI PELAKSANAAN KEGIATAN UPKD ANDALAS UNTUK SEKTOR PERTANIAN DARI DANA BENGKULU REGIONAL DEVELOPMENT PROJECT (BRDP) DI DESA TAPAK GEDUNG KABUPATEN KEPAHIANG Nufus, Nurhayatin; Nabiu, Musriyadi; Susilawati, Tati
Jurnal AGRISEP JURNAL AGRISEP VOL 04 NO 01 2005 (MARCH)
Publisher : Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (205.067 KB) | DOI: 10.31186/jagrisep.4.1.156-166

Abstract

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.
POLA DINAMIS DISTRIBUSI BERAS UNTUK OPERASI PASAR DOlOG BENGKUlU Nufus, Nurhayatin
Jurnal AGRISEP JURNAL AGRISEP VOL 05 NO 01 2006 (JANUARY)
Publisher : Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3743.618 KB) | DOI: 10.31186/jagrisep.5.1.7-23

Abstract

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.
ESTIMASI FUNGSI PRODUKSI DAN EFISIENSI ALOKASI SUMBERDAYA PETANI KEDELAI DI LOMBOK BARAT Nufus, Nurhayatin
Jurnal AGRISEP JURNAL AGRISEP VOL 03 NO 01 2004 (JANUARY)
Publisher : Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (233.268 KB) | DOI: 10.31186/jagrisep.3.1.145-148

Abstract

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 
Optimization of Sentiment Analysis for Indonesian Presidential Election using Naïve Bayes and Particle Swarm Optimization Hayatin, Nur; Marthasari, Gita Indah; Nuarini, Lia
JOIN (Jurnal Online Informatika) Vol 5 No 1 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i1.558

Abstract

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.
Sentiment Analysis from Indonesian Twitter Data Using Support Vector Machine And Query Expansion Ranking Atsqalani, Hasbi; Hayatin, Nur; Aditya, Christian Sri Kusuma
JOIN (Jurnal Online Informatika) Vol 7 No 1 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i1.669

Abstract

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.
Co-Authors Abdul Hadiy Dyo Fatra Abidatul Izzah Abidatul Izzah Izzah, Abidatul Izzah Adhi Bagus Setiawan Ahmad Al Ghivani Ahmad Dhana Renomi Ahmad Hifdhul Abror, Ahmad Hifdhul Aini Alifatin Aini Nurul Amarul Akbar Andhini, Thathit Manon Anggraini, Syadza Anisatu Thoyyibah Asep Rohman Atsqalani, Hasbi Audi Bayu Yuliawan Ayu Puji Lestari Basuki, Setio Bayu Mavindo Bayu Yuliawan, Audi Chastine Fatichah Chita Nauly Harahap Christian Sri Kusuma Aditya Christian Sri Kusuma Aditya Christian Sri Kusuma Aditya Christian Sri kusuma Aditya, Christian Sri kusuma Dasa Ismaimuza Dede Nor Alfiansyah Deny Qutara Putra Diana Purwitasari Didih Rizki Chandranegara Dini Kurniawati Doni Yulianto Dwi A. P. Rahayu Dwi Arif Al-mubarok Dyah Hestiningtyas Dzur Rifqi Aziz Eko Budi Cahyono Elbert Setiadharma Evi D. Wahyuni Evi Dwi Wahyuni Fadil Ramadhan Farid Dadhee Fatahillah Arsyad Gama Wisnu Fajarianto Giffari Zakawaly Gita Indah Marthasari Hakim, Muhammad Nafi Maula Hariyady, H. Hasbi Atsqalani Ika Rizki Anggraini Kharisma Muzaki Ghufron Kris Setyaningsih, Kris Kuntur, Soveatin Lia Nuarini M Syawaluddin Putra Jaya Maskur Maskur Maskur Maskur Mavindo, Bayu Meilina Agustina Meilisa Musnaimah Mentari Mas'ama Safitri Muhammad Rojib Saiful Musnaimah, Meilisa Musriyadi Nabiu, Musriyadi MUSTAMIN IDRIS Mustika Mentari Nasution, Annio Indah Lestari Nirindra Primavera Dirga Nugraha Nuarini, Lia Nur Putri Hidayah Nuryasin, Ilyas Prayogi Restia Saputra Putra, Deny Qutara Rahayu, Dwi A. P. Rellanti Diana Kristy Rellanti Diana Kristy Retno Firdiyanti Rima Mediana Mashita Rizal Rakhman Mustafa Rizky Ade Mahendra Rizky Heriawan Prayogo Tanjung Ruhaila Maskat S, Vinna Rahmayanti Saiful Arif, Mukhammad Rojib Sandy Young Sari Wahyunita Sari, Tiara Intana Shofiyah Soveatin Kuntur Syadza Anggraini Syukri Adisakti Dainamang Tati Susilawati, Tati Taufik Nurahman Thathit Manon Andini Tiara Intana Sari Tri Fidriyan Arya Tsabitah Ayu Rahmawati Tutik Sulistyowati Veithzal Rivai Zainal Wahyuni, Evi D. Wicaksono, Galih Wasis Wildan Suharso Yogo Suwiknyo Yuda Munarko Yufis Azhar Yuniarti, Maulidya Zalfa Natania Ardilla