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All Journal Jurnal Kebidanan Jurnal Ilmu-Ilmu Perikanan dan Budidaya Perairan Interest : Jurnal Ilmu Kesehatan KOMUNIKA Journal of Industrial Engineering Management Promotif: Jurnal Kesehatan Masyarakat PEDAGOGI Jurnal Intek Akuakultur ORBITA: Jurnal Pendidikan dan Ilmu Fisika Journal of Information Technology and Computer Engineering MAJU : Jurnal Ilmiah Pendidikan Matematika JIKA: Jurnal Ilmu Keuangan dan Perbankan Jurnal Inovator Jurnal Pendidikan Fisika dan Teknologi Attractive : Innovative Education Journal Jurnal Manajemen dan Bisnis Kreatif Jurnal Tarbiyatuna : Kajian Pendidikan Islam Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Kesehatan Wira Buana Intan Husada : Jurnal Ilmiah Keperawatan Jurnal Pengabdian Perikanan Indonesia Jurnal Panjar: Pengabdian Bidang Pembelajaran Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Jurnal Rumpun Ilmu Kesehatan Mujtama': Jurnal Pengabdian Masyarakat AHKAM : Jurnal Hukum Islam dan Humaniora Journal Prima Health Science Jurnal Teknologi dan Mutu Pangan Abdi Samulang : Jurnal Pengabdian Kepada Masyarakat Indonesian Journal on Data Science Teknomatika: Jurnal Informatika dan Komputer Jurnal Pendidikan Guru Madrasah Ibtidaiyah Al-Amin Jurnal Media Akademik (JMA) Ngabekti: Jurnal Pengabdian kepada Masyarakat Jurnal Ekonomi Manajemen Dan Bisnis (JEMB) Business and Accounting Education Journal Journal of Scientific Interdisciplinary International Journal of Education, Vocational and Social Science Jurnal Ilmiah Manuntung: Sains Farmasi dan Kesehatan Indonesian Journal of Education An Najah (Jurnal Pendidikan Islam dan Sosial Keagamaan) Solidarity : Journal of Education, Social dan Culture Jurnal Tarbiyatuna : Kajian Pendidikan Islam
Nurul Fatimah
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Penulisan Artikel Ilmiah Sebagai Upaya Mendorong Produktivitas Guru Iwan Hardi Saputro; Nurul Fatimah; Ustad Mangku Alam
Jurnal Panjar: Pengabdian Bidang Pembelajaran Vol 1 No 2 (2019): Pengabdian Bidang Pembelajaran dalam Penguatan Kapasitas Masyarakat
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/panjar.v1i2.29721

Abstract

Kemampuan guru dalam membuat karya tulis ilmiah merupakan salah satu bentuk pengembangan profesi guru. Kemampuan tersebut dapat dilihat dari jumlah publikasi a guru yang dimuat dalam berbagai media, khususnya jurnal ilmiah. Namun demikian, pada kenyataanya publikasi artikel ilmiah dari para guru masih dianggap minim. Sedangkan, pada dasarnya penulisan karya tulis ilmiah semacam ini diyakini dapat meningkatkan kemampuan profesionalisme guru sekaligus memperbaiki kualitas pembelajaran yang disampaikannya. Beranjak dari urgensi tersebut, kami memandang perlu adanya pelatihan guna mendorong para guru dalam membuat karya tulis ilmiah. Target jangka pendek pelatihan ini adalah tercapainya kemampuan para guru di Kabupaten Wonosobo tentang (1) penulisan artikel ilmiah berdasarkan penelitian yang telah dilaksanakan; (2) penyuntingan artikel ilmiah yang telah dibuat; (3) pengiriman artikel ilmiah ke jurnal-jurnal terkait. Target jangka panjang pelatihan ini adalah tercapainya kemampuan guru di SMA 1 Sapuran Wonosobo tentang penulisan artikel ilmiah secara komprehensif dan permanen. Metode pelaksanaan kegiatan pengabdian ini megacu pada rumusan masalah yang telah ditetapkan. Metode pelaksanan kegiatan pengabdian ini disusun secara bertahap menggunakan desain Project Based Learning. Materi yang disampaikan meliputi (1) penyampaian materi tentang ketepatan diksi, kalimat, paragraf, dan tanda baca sesuai dengan Ejaan yang Disempurnakan. (2) Penyampaian tentang sistematika penulisan artikel ilmiah. (3) Teknik penyuntingan artikel ilmiah yang tepat dan efektif. Kegiatan pengabdian kepada masyarakat ini dikemas dalam wadah kegiatan Forum Group Discussion (FGD). Pelaksanaan pengabdian ini dilaksanakan pada tanggal 20 September 2018. Jumlah peserta yang hadir dalam kegiatan pengabdian ini berjumlah 40 orang guru, baik baik guru PNS maupun guru honorer di SMA 1 Sapuran Wonosobo. Dalam kegiatan pengabdian ini, tim pengabdi menyampaikan beberapa materi, kemudian melakukan diskusi dan tanya jawab, serta musyawarah untuk rencana tindak lanjut untuk pertemuan berikutnya. Materi-materi yang disampaikan antara lain terkait dengan materi tentang artikel penelitian, artikel nonpenelitian, serta bagaimana proses penyuntingan artikel ilmiah.
Analisis Kata Kunci untuk Mendapatkan Konversi Tertinggi dari Platform Google dan Tokopedia Dimas Pratama Jati; Aris Wahyu Murdiyanto; Kharisma; Nurul Fatimah
Jurnal Teknomatika Vol 14 No 2 (2021): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v14i2.1107

Abstract

The business world is very closely related to advertising, advertisements in print, electronic and digital media, In advertising on digital media we need keywords as a reference for search engines to find what we want, Targeting the right keywords in articles is very important to help websites easy to find in search engines. However, in choosing these keywords it is often not appropriate or not in accordance with what is desired, where the inaccuracy of the keywords will make the ad not suitable for the site or product being marketed, so that it is not optimal. The first step is to determine the items to be advertised and then look for the right keywords by looking at the Click Through Rate (CTR), which is the ratio of the number of clicks to the number of impressions, then running ads based on the keywords that have been obtained for an item, then analyze the results of running ads. The results of the two platforms between Google Ads and Tokopedia get an increase of visits after running ads, running ads using keywords with high CTR is very influential on visits and sales. It was recorded that during the ads run there were 2 sales that entered Tokopedia with a total of 3 items sold. If the purpose of the ad is for Brand Awareness, it is better to use Google ads to run ads, because the number of impressions of Google ads is better, but if the purpose of the ad is to sell then it is better to use Tokopedia because the number of conversions is more than Google ads.
Analisis Sentimen Ulasan Produk Layanan Internet di Twitter Menggunakan Naive Bayes Classifier Lintang Permadi; Choerun Asnawi; Andika Bayu Saputra; Nurul Fatimah
Jurnal Teknomatika Vol 16 No 1 (2023): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v14i2.1108

Abstract

This research aimed to conduct sentiment analysis on user reviews of Indihome, one of Indonesia's leading internet service providers, using data collected from Twitter. With a growing user base of 7 million, Indihome achieved an impressive revenue growth rate of 48% by the end of 2019. To assess user satisfaction, sentiment analysis was performed on tweets containing the keyword "indihome" between July 1 and July 11, 2022. A total of 10,000 tweets and retweets were collected and subjected to data preprocessing, manual labeling, and training using the Naive Bayes Classifier method. The training phase involved 1,000 tweets, equally divided between positive and negative sentiments, manually labeled for accuracy. For evaluation, 200 labeled tweets were used as testing data. The sentiment analysis results were remarkable, with 98% accuracy achieved for the training data and 91% for the testing data. These findings demonstrate the effectiveness of the Naive Bayes Classifier in accurately determining sentiment from Indonesian-language tweets about Indihome's services. By analyzing user opinions expressed on Twitter, this study provides valuable insights into the level of user satisfaction with Indihome as an internet service provider. Leveraging sentiment analysis applications on Twitter social media enables companies like Indihome to gain a deeper understanding of customer sentiment and make informed decisions to improve their services. The research showcases the importance and effectiveness of sentiment analysis in evaluating user feedback and enhancing customer satisfaction in the internet service industry.
Analisis Kesadaran Cyber Security di Kalangan Pengguna Layanan Keuangan Digital Indonesia Maulida Farahanita; Chanief Budi Setiawan; Rama Sahtyawan; Nurul Fatimah
Jurnal Teknomatika Vol 15 No 1 (2022): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v15i1.1119

Abstract

The rapid development of information technology has led most people to choose to use digital banking and financial services to carry out various financial transactions. The most common crimes that occur are in the banking industry, including hacking (hacking of digital services), skimming (copying data information from digital service users), defacing (replacing or modifying digital service pages), phishing (deception of digital service users), BEC (business email compromise), and social engineering (social engineering to digital service users). To measure the level of cyber security awareness among users of digital financial services in Indonesia using the AHP method. This research is a quantitative study by distributing online questionnaires, then analyzed using the AHP method to find out which criteria have the highest or lowest scores. The largest weight of these criteria is knowledge of 0.5009, then sequentially is attitude of 0.3307, and behavior of 0.173. Digital financial service users already have insight or knowledge regarding how to maintain the security of their personal data, but it is still lacking in its application, so it is necessary to conduct in-depth re-education regarding the big risks given by carelessly maintaining privacy data. On the Attitude criteria; users still save PIN/passwords in smartphone notes, install applications outside the Play Store or App Store, rarely update the operating system on their smartphones, and leave their smartphones to other people or public places. On the Behavior criteria; users still use the same PIN/password on different accounts.
Klasterisasi Obat Berdasarkan Tipe dan Komposisi Sejenis pada Bagian Farmasi Rumah Sakit Queen Latifa Nurul Imam Prayogo; Puji Winar Cahyo; Landung Sudarmana; Nurul Fatimah
Jurnal Teknomatika Vol 13 No 2 (2020): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v13i2.1120

Abstract

One important element in maintaining and improving the quality of healthcare services is the availability of adequate medication. Drugs are a crucial component used in the provision of healthcare services, and the expenses associated with them constitute a significant portion of overall healthcare costs. The implementation of data mining can aid in analyzing drug usage to obtain information that can be utilized for planning and controlling drug inventory, with one of the methods being the utilization of the K-Means algorithm. The K-Means algorithm is the most popular and widely used clustering method in data mining. This research aims to facilitate pharmacy personnel in identifying groups of drug types with similar characteristics and compositions. As a result, the categorization of a large number of drugs can be performed more efficiently and accurately. Moreover, with the grouping of drugs based on similar characteristics and compositions, pharmacy personnel can easily monitor the availability of specific medications and take appropriate actions in managing drug supplies at the hospital.
Sistem Pendukung Keputusan Gizi dan Penentuan Stunting Berbasis Web di Posyandu Mutiara Rifky Nur Febryan; Arief Ikhwan Wicaksono; Chanief Budi Setiawan; Nurul Fatimah
Jurnal Teknomatika Vol 14 No 1 (2021): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v14i1.1121

Abstract

Posyandu is the activity base in the field of health for the community, with the Posyandu is expected to community conscious will Healt sice early, because of the activities of Posyandu many involving various parties, especially on helath early is a todder. This Posyandu is regulated and supervised by the Puskesmas in order to maximize activities in the field of Healt between RT and RW. In the case of these many activities are still relying on the recording is manually and a lot of data that is not structured. There is also a wighing activity for toddlers who still use the manual method, namely checking the Card Towards Health (KMS) book. The study is intended to create a system supporting decision that can be used by Kader Posyandu in doing the reporting activities of the weighing toddlers and provides a place virtual namely the facility to upload data that is used to store the data Softcopy which can be downloaded back. This system also provides alternative features for determining nutrition and stunting. The result of the study of this form of system support decisions thet help Kader Posyandu in doing the repoting activities of the weighing toddlers and announcements weighing toddlers. The Nutrition Decision Support System and Stunting Determination at the Posyandu Mutiara was designed using the Naïve Bayes Classification method and was made using the PYTHON programming language by utilizing the Flask Framework, Bootstrap Framework, and MySQL as a database.
Perancangan Survival Horror Game Out Of Sight Menggunakan Unity 3D Engine Septian Mahendra Dewantoro; Kartikadyota Kusumaningtyas; Andika Bayu Saputra; Nurul Fatimah
Jurnal Teknomatika Vol 15 No 2 (2022): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v15i2.1122

Abstract

A game is the result of the creative expression of a game maker that has an element of entertainment, can be played and has an end goal. In horror games, it is still divided into several more types of games, one of which is a survival horror game that requires players to live against enemy attacks that come their way. This game was created to enrich horror-themed domestically made games. Designing games using the unity 3D engine with the process of applying the MDLC (Media Develpoment Life Cycle) model. A method suitable for game design, starting with the preparation, design, collection of materials, testing and distribution. Out Of Sight game has gameplay with a first-person perspective combined with the survival horror genre. Made with the C# programming language this game is able to run perfectly with various features. There is also a unique feature, namely slowmotion which serves to slow down time to make it easier for players to shoot enemies. This survival horror game has been successfully created and completed. This game conducts testing using black box testing where all features function normally except for the key that serves to open the door. Based on respondents 18.5% said that the door lock had a bug. This game was created to enrich horror-themed domestically made games.
Rancang Bangun Sistem Parkir Menggunakan Kartu Barcode di Pasar Setono Betek Kediri Wenesdy Fajar Ega Roosdwita; Agung Priyanto; Ari Cahyono; Nurul Fatimah
Jurnal Teknomatika Vol 13 No 1 (2020): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v13i1.1123

Abstract

Along with the development of technology and information, human needs are increasing. Especially now that the parking system has experienced rapid development with a level of security for vehicles. One of the important things is the parking problem, the parking problem where the parking lot is large enough but still not supported by an adequate system. The use of a manual parking system has now begun to shift now with an automatic parking system that is integrated with the database as part of the parking system. Barcode card is a code in the form of a line of black or rectangular lines. Each line of the rectangle has a different width. So in this study the barcode card is used as an ID for parking users or parking customers who replace the manual parking system. The parking system data collection starts with Barcode Card user parking which is invincible with the parking user database via Barcode Scan. In a parking system using a Barcode Card, parking users can see the hours of entry and exit of parking congestion. by simply scanning or pasting the Barcode Card on the HC-SR04 sensor. This parking system will work based on existing data on the RFID tag and RFID reader. The data from the RFID tag will read the RFID reader and be processed in the Raspberry pi and servo motor to open and close the bar, then the buzzer will sound after which the ultrasonic sensor closes and opens the bar when the motor passes the sensor. With the parking system using this Barcode Card can provide security, comfort in the parking area is more guaranteed, and the parking area is managed in an orderly manner.
Implementasi Penggunaan Algoritma Weighted Product untuk Sistem Pendukung Keputusan Bantuan Lansia Ferlinda Yuyung Kusumaningrum; Andika Bayu Saputra; Agung Priyanto; Nurul Fatimah
Jurnal Teknomatika Vol 16 No 2 (2023): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v16i2.1249

Abstract

Lansia merupakan suatu siklus hidup yang pasti dialami oleh manusia dan hampir setiap orang. Terdapat permasalahan yang dihadapi oleh lansia dari menurunnya kondisi fisik sampai tidak dapat bekerja, Pemerintah mengeluarkan program untuk mendukung lansia. Bantuan lansia yang dapat diterima setiap tiga bulan atau sesuai informasi dari pemerintah. Namun saat ini program yang ada masih belum efektif karena terdapat kendala seperti belum ada sebuah sistem yang dapat menginputkan data, sehingga pendataan bantuan lansia masih secara manual menggunakan pencatatan di buku yang dapat menghambat waktu pendataan dan perhitungan data. Penelitian ini bertujuan untuk membangun sebuah sistem pendukung keputusan dalam menentukan penerima bantuan lansia guna membantu dalam proses pengambilan keputusan. Algoritma weighted product yang merupakan suatu algoritma yang sering digunakan untuk menganalisa sebuah keputusan. Hasil penelitian ini berupa sebuah Implementasi Penggunaan Algoritma Weighted Product untuk Sistem Pendukung Keputusan Penerima Bantuan Lansia. Sistem diharapkan membantu dalam menentukan keputusan dari barbagai pilihan yang mempertimbangkan beberapa macam kriteria dan dapat diterapkan untuk membantu menyelesaikan permasalahan mengidentifikasi penerima bantuan lansia secara cepat, tepat dan efektif.
Determinan Ekonomi Terhadap Keikutsertaan Program Jaminan Kesehatan Nasional (JKN) Di Kota Madiun Tahun 2023 Anindita Hasniati Rahmah; Rury Narulita Sari; Yuli Kusumawati; Widya Kaharani Putri; Nurul Fatimah
Jurnal Rumpun Ilmu Kesehatan Vol. 3 No. 3 (2023): November: Jurnal Rumpun Ilmu Kesehatan
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jrik.v3i3.2688

Abstract

National Health Insurance (JKN) is a priority for low- and middle-income countries as a way to increase access to health services and reduce the financial burden on health care. The special objective is to analyze the relationship between income and participation in the National Health Insurance (JKN). The 30 respondents, 19 (63.3) respondents were female and 11 (26.7) were male. And aged > 45 years old a total of 15 (50.0) and < 45 years old (50.0). And almost all 23 respondents (69.7) earned < 2,190,206 in each month and as many as 7 respondents with an income of > 2,190,206 in each month. There is a significant positive relationship between the level of opinion and participation in the National Health Insurance program, where the higher the income, the more people participate in the National Health Insurance program. Comprehensive and comparable estimates of health spending across countries are critical to achieving national and international health goals. If there is more health care, the amount of premium that will be issued will also be a lot. Premium increases in the health insurance sector are an uphill task for policymakers to form balanced policies that can provide affordable health care while maintaining survival
Co-Authors Adam Al Subarkah Adi Ihsan Imami Adi Yusuf Muttaqien ADNI OKTAVIANA Agung Priyanto Ahmad Heru Romadhon Aldi Huda Verdian Andi Pawennari Anindita Hasniahti Rahmah Anindita Hasniati Anindita Hasniati Rahmah Anis Hidayati MS Ari Cahyono Arief Ikhwan Wicaksono Arif Faisal Siburian Arif Setiawan Aris Wahyu Murdiyanto Ashari, Novita Asih Handayani Asmirati Yakob Atiqotul Musyarofah Avi Arya Buana Jaya Putra Bagas Dwi Santosa Bilbina Iqlima Putri Binsar H. Simanjuntak Budiman Chanief Budi Setiawan Choerun Asnawi Cipsas Cipsas Danar Rista Saputra Destiana Eka Putri Dewi, Anita Kusuma Diana Mawarni Dimas Pratama Jati Dwi Puji Hartono Eka Gita Sari Ela Hikmah Hayati Elfidiah Eny Pemilu Kusparlina Epro Barades Euis Ernawati Faturrohman , Kurnia Ferlinda Yuyung Kusumaningrum Gunawan Gunawan Hadi Nasbey Halleina Rejeki Putri Hartono Hasmiati Hasmiati Henny Nurhasnawati Herdiesel Santoso Herdiyanto Heri Murtawan Huda Verdian, Aldi Illailatul Fitria Islahudin Ivando Zeldha Damara Iwan Hardi Saputro Johri Sabaryati Kamaruddin Kamaruddin Karlinda Kharisma Khumaidatun Nisa Kristofara Karolina Kewa Kurnia Fathurohman Kusumaningtyas, Kartikadyota Landung Sudarmana Legiso, Legiso Lestari, Sudarsri Lia Yulianti Lina Alfiyani Lintang Permadi Linuwih Aluh Prastiti Linuwih Aluh Pratitis Maulida Farahanita Mifbakhuddin Mifbakhuddin Mismawati, Andi Muhammad Iqbal Al Hafizh Saputra Muliawati Handayani Musyarofah, Atiqatul Nadisa Theresia Putri Nadzirah Ika Sari Nairfana, Ihlana Neng Elva Netania Indi Kusumaningtyas Nikmah Ayu Ramadhani Amir Novita Kumalasari Nuning Mahmudah Noor Nur Indariyanti Nur Rismawati Nurul Fatimah Nurul Imam Prayogo Nu’man Tsabit Puji Winar Cahyo Puspita, Maharani Intan Qorie Astria Rama Sahtyawan Ratna Aisuwarya Reksi Sundu Rifky Nur Febryan Rio Yudufi Subhan Roufida Zaki Royhanaty, Isy Rury Narulita Sari Ruzqiatil Hukm Sadjena Anjani Safira Chintya Wulansari Saputra, Andika Bayu Sawitry Sawitry Septian Mahendra Dewantoro Siburian, Arif Faisal Siti Nur Kholifah Sofyan Iskandar, Sofyan Sudrajah Warajati Kisnawaty Suharyo Supriadi Supriadi Talita Toya Agitha Tri Ayu Lestari Ulfi Saidata Aesyi Ummul Khaeriyah Upik Rahma Fitri Ustad Mangku Alam Verdian, Aldi Huda Wahira Wahyu Fatkhurudin Wahyudi Wahyudi Wenesdy Fajar Ega Roosdwita Widi Hartono Widya Kaharani Putri Wiwi Aprianti Yuli Kusumawati Yusuf Andi Wibawa