Article Per Year (5 Year)
p-Index From 2021 - 2026
3.346
P-Index
This Author published in this journals
All Journal Jurnal Pustakawan Indonesia TELKOMNIKA (Telecommunication Computing Electronics and Control) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmu Komputer dan Agri-Informatika Journal of Telematics and Informatics JAM : Jurnal Aplikasi Manajemen Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Consumer Science Seminar Nasional Informatika (SEMNASIF) Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Jurnal Pendidikan Informatika dan Sains Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Consumer Sciences Syntax Literate: Jurnal Ilmiah Indonesia Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Empowerment : Jurnal Pengabdian Masyarakat Jurnal Sistem Cerdas JGISE-Journal of Geospatial Information Science and Engineering Indonesian Journal of Electrical Engineering and Computer Science Journal of Information Technology and Its Utilization Jurnal Pustakawan Indonesia Jupiter Journal of Computer & Information Technology Xplore: Journal of Statistics IIJSE BACA: Jurnal Dokumentasi dan Informasi Journal of Information Technology and its Utilization
Yani Nurhadryani
Departemen Ilmu Komputer Fakultas Ilmu Pengetahuan Alam, Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Other

Published : 55 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 55 Documents
Search

 2   3   4   5   6 
Evaluasi Kinerja pelaksanaan Anggaran Berbasis Fuzzy Inference System Sukarna, Sukarna; Hermadi, Irman; Nurhadryani, Yani
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 2: April 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021833848

Abstract

Kinerja Pemerintah merupakan output kinerja kementerian/lembaga yang diimplementasikan dalam Perjanjian Kinerja. Laporan Kinerja adalah bentuk pertanggungjawaban kementerian terhadap Perjanjian Kinerja yang disusun secara bertahap dari unit kerja, unit organisasi, dan kementerian. Capaian kinerja aggaran tingkat Kementerian Pertanian tahun 2019 sebesar 94.56% (kategori sangat baik) namun nilai efisiensi anggaran tingkat kementerian sebesar 71,89% yang disebabkan oleh belum efisiennya penggunaan anggaran terhadap capain target. Penelitian ini menggunakan fuzzy inference system  Mamdani untuk menentukan status capaian kinerja di unit kerja Balai Pengkajian Teknologi Pertanian (BPTP) Jawa Tengah berdasarkan Peraturan Menteri Keuangan nomor 214 tahun 2017. Aspek penilaian terdiri dari aspek manfaat dan aspek implementasi. Hasil penelitian ini adalah monitoring dan evaluasi kinerja tingkat unit kerja berupa status capaian kinerja berdasarkan realisasi anggaran riil dengan kriteria sangat kurang, kurang, cukup, baik, dan baik sekali. Implementasi sistem  berbasis web  dengan nilai evaluasi usability menggunakan use questionnaire untuk masing-masing kategori yaitu US sebesar 5.98, EU sebesar 5.25, EL sebesar 5.75, dan SC sebesar 5.17. Pengujian status capaian kinerja unit kerja than 2019 dengan penilaian pakar menujukkan hasil yang sama yaitu kategori sangat baik. AbtractGovernment performance was the output of the performance of the ministry/agency implemented in the performance agreement. Performance report was a form of ministerial accountability to performance agreements that were arranged in stages from work units, organizational units, and ministries.  The achievement of the budget performance at the ministry of agriculture in 2019 was 94.56% (very good category) but the efficiency value of the ministry leveled budget was 71.89% due to the inefficient used of the budget towards target achievement, it is necessary to monitoring and evaluate budget performace.  Measurement and assesment of the achievement of budget execution performance based on PMK Number 214 of 2017 consists of implementation aspects (budget absorption, consistency between planning and implementation, achievement of outputs, and efficiency). The studied objective was to facilitate works units in monitoring and evaluate budget performance by presenting accurate and actual performance information as a function of internal control using  the mamdani fuzzy inference system to determine the status of performance achievements. Mamdan’s model can describe skills for intuitive problems that have an output in the form of values in the domain of fuzzy sets categorized under the linguistic component. The results of this studied are monitoring and evaluation of the web-based work unit in the form of real performance status as a basis for preparing recommendations in  order to improve budget performance.  The usability evaluation of the system used a use questionnaire for each category, namely US 5.98, EU 5.25, EL 5.75, and SC 5.17.  Whitebox testing against 25 rule bases shows the results as expected. Testing the status of work unit performance achievements in 2019 with expert assessments shows the same results, namely the very good category. 
Analisis Sentimen Bahasa Indonesia pada Twitter Menggunakan Struktur Tree Berbasis Leksikon Saputra, Feby Tri; Nurhadryani, Yani; Wijaya, Sony Hartono; Defina, Defina
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 1: Februari 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.0814133

Abstract

Jumlah opini di media sosial seperti Twitter tersebar luas sehingga tidak mungkin membaca semua opini untuk mendapatkan seluruh sentimen. Analisis sentimen merupakan salah satu metode untuk mengatasi masalah tersebut. Salah satu pendekatan dalam analisis sentimen adalah berbasis leksikon. Pendekatan berbasis leksikon dapat menghasilkan performa yang baik pada lintas topik pembicaraan tanpa memerlukan pelatihan data. Namun, pendekatan berbasis leksikon sangat bergantung pada kelengkapan dan keragaman sentimen leksikon. Selain itu, hubungan antarkata sangat penting untuk diperhatikan karena dapat mengubah polaritas sentimen pada teks. Hubungan antarkata dapat direpresentasikan dengan baik menggunakan struktur tree. Penelitian ini menggunakan struktur tree sebagai interpretasi hubungan antarkata dalam pembentukan kalimat dengan menambahan kata ke dalam sentimen leksikon. Metode berbasis tree diujikan pada data dengan lintas topik seperti data twit Pilgub Jabar 2018, Pilpres 2019, dan pandemik COVID-19. Ketiga data uji memiliki proporsi kelas yang tidak seimbang, dengan kelas terbanyak merupakan kelas positif. Metode berbasis tree menghasilkan akurasi sebesar 64,97% (meningkat 1,26%) pada data Pilgub Jabar 2018, 64,33% (meningkat 11,41%) pada data Pilpres 2019, dan 66,24% (meningkat 7,61%) pada data pandemik COVID-19. Metode berbasis tree dapat menghasilkan akurasi yang stabil pada beberapa lintas topik dibuktikan dengan standar deviasi akurasi yang kecil (0,97%) bahkan lebih kecil dari metode tanpa tree (5,4%). Metode berbasis tree dapat meningkatkan weighted f1-measure pada data Pilpres 2019 sebesar 10,45% dan data pandemik COVID-19 sebesar 8,1%, sedangkan hasil pada data Pilgub 2018 tidak berbeda secara signifikan. Hasil akurasi dan weighted f1-measure memiliki selisih yang kecil sehingga pengukuran akurasi valid dan tidak bias terhadap data tidak seimbang. AbstractThe number of opinions on social media like Twitter is so widespread that it's impossible to read all those opinions to get all the sentiments. Sentiment analysis is one of the methods that could overcome this problem. The lexicon-based approach is one of the sentiment analysis approaches which perform well across data topics without training. However, the lexicon-based approach relies heavily on the completeness and diversity of sentiment lexicons. The relationship between words is important because it could change the sentiment polarity in the text. The tree structure could represent the relationship between words well. This study uses a tree structure as an interpretation of the relationship between words in a sentence. The tree structure is constructed by adding words to the lexicon sentiment. The tree-based method is tested on cross-topic data such as the tweet data of the 2018 West Java Governor Election, the 2019 Presidential Election, and the COVID-19 pandemic. All data used has an unbalanced class proportion, with the positive class being dominant. The accuracy results of the tree-based method on all data consecutively are 64.97% (increased by 1.26%), 64.33% (increased by 11.41%), and 66.24% (increased by 7.61%). The tree-based method produce stable accuracy on several topics proved by the small accuracies standard deviation (0.97%) that even smaller than the non-tree method (5.4%). The weighted f1-measure increases of the tree-based method on all data consecutively are 0% (equal), 10.45%, and 8.1%. The small difference between the weighted f1-measure and accuracy concludes that the accuracy resulted is valid.
Evaluasi Tata Kelola Teknologi Informasi di Dinas Pertanian Gianyar Menggunakan COBIT 2019 Kesuma, I Nyoman Rai Widartha; Hermadi, Irman; Nurhadryani, Yani
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 3: Juni 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023106565

Abstract

E-government adalah penggunaan dan pemanfaatan teknologi informasi dalam pengelolaan ketatanegaraan untuk mempercepat pengintegrasian alur dan proses kerja, serta peningkatan pelayanan publik.  Salah satu tujuan Dinas Pertanian Gianyar adalah untuk meningkatkan pelayanan di bidang pertanian dan sasaran yang ingin dicapai adalah meningkatkan kapasitas kinerja dan akuntabilitas kinerja birokrasi. Tata kelola yang baik dalam penggunaan layanan TI akan meningkatkan proses pengelolaan informasi, pelayanan publik, efisiensi, dan akuntabilitas serta dipercaya dapat mempengaruhi seluruh kinerja organisasi. Penerapan TI di satu sisi memberikan manfaat yang luar biasa bagi organisasi namun juga dapat menimbulkan risiko-risiko yang merugikan organisasi. Jika risiko TI tidak dikelola dengan baik, TI dapat mengakibatkan terganggunya operasional organisasi menjadi tidak optimal. Evaluasi tata kelola TI bertujuan untuk meningkatkan keuntungan penggunaan TI secara optimal dan dapat mampu mengelola resikonya. COBIT 2019 merupakan standar framework yang dinilai lengkap dan komprehensif dalam melakukan evaluasi tata kelola TI suatu organisasi. Berdasarkan analisis faktor desain, proses yang menjadi prioritas tertinggi atau memiliki skor ≥ 75 adalah MEA03 (Managed Compliance with External Requirements), BAI04 (Managed Availability & Capacity), dan EDM03 (Ensured Risk Optimization).  Hasil penilaian tingkat kapabilitas pada proses MEA03, BAI04 dan EDM03 baru mencapai tingkat kapabilitas level 1 dan Dinas Pertanian Gianyar mengharapkan tercapainya tingkat kapabilitas level 2, sehingga terdapat gap sebesar 1 pada setiap proses tersebut. Hasil rekomendasi dapat dimanfaatkan oleh organisasi agar setiap proses yang dievaluasi dapat mencapai tingkat kapabilitas level 2. AbctractE-government is the use and utilization of information technology in state administration management to accelerate the integration of work flows and processes, as well as improve public services. One of the goals of the Gianyar Agriculture Office is to improve services in the agricultural sector and the target to be achieved is to increase performance capacity and accountability for bureaucratic performance. Good governance in the use of IT services will improve the process of managing information, public services, efficiency and accountability and is believed to affect all organizational performance. The application of IT on the one hand provides extraordinary benefits for the organization but can also pose risks that are detrimental to the organization. If IT risks are not managed properly, IT can result in disrupted organizational operations that are not optimal. Evaluation of IT governance aims to increase the benefits of optimal use of IT and be able to manage the risks. COBIT 2019 is a standard framework that is considered complete and comprehensive in evaluating an organization's IT governance. Based on the design factor analysis, the processes that are the highest priority or have a score ≥ 75 are MEA03 (Managed Compliance with External Requirements), BAI04 (Managed Availability & Capacity), and EDM03 (Ensured Risk Optimization). The results of the capability level assessment in the MEA03, BAI04, and EDM03 processes have only reached capability level 1 and the Gianyar Agriculture Office expects to achieve a capability level 2, so that there is a gap of 1 in each of these processes. The results of the recommendations can be utilized by the organization so that each evaluated process can reach the capability level  2.
Analisis Perbaikan dan Pemodelan Proses Bisnis Menggunakan Business Process Improvement Pada Sistem Manajemen Budidaya Buah Agrowing Yusmar, Addini; Nurhadryani, Yani; Hermadi, Irman
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 5: Oktober 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023107237

Abstract

Proses penanaman dan pengelolaan lahan pertanian dengan bantuan teknologi berhasil memberikan kemudahan dan meningkatkan hasil penjualan produksi. Penelitian mengenai penerapan teknologi telah dilakukan, namun masih ditemukan ketidaksesuaian antara proses bisnis dengan sistem yang disebabkan oleh kurangnya integrasi proses bisnis. Selain itu, kompleksitas proses bisnis pertanian yang terus meningkat menuntut untuk dilakukan perbaikan proses bisnis. Tujuan dari penelitian ini adalah melakukan perbaikan proses bisnis dengan menganalisis peningkatan dan pemodelan proses bisnis sistem manajemen budidaya buah. Penelitian ini memperbaiki proses bisnis sistem manajemen budidaya buah Agrowing menggunakan Business Process Imporvement (BPI) dan memodelkannya menggunakan Business Process Model and Notation (BPMN). Tahapan penelitian ini terdiri dari identifikasi proses bisnis sistem manajemen budidaya buah, analisis proses bisnis sistem manajemen budidaya buah as-is, analisis proses bisnis sistem manajemen budidaya buah to-be, dan pengujian. Pengujian dilakukan dengan simulasi waktu proses bisnis menggunakan tools bizagi modeler dan perhitungan metrik kualitas menggunakan Complexity Metric (CFC) dan Coupling Metric (CP). Perbaikan proses bisnis budidaya buah menggunakan pendekatan BPI berhasil mengurangi waktu proses. Selain itu, kualitas model yang dihasilkan mudah dipahami dan dimodifikasi. Model proses bisnis yang dihasilkan dapat dijadikan sebagai acuan untuk tahapan desain pada pengembangan sistem manajemen budidaya buah Agrowing sehingga mendukung perkembangan teknologi informasi pertanian secara berkelanjutan dan membantu para petani untuk memproduksi buah berkualitas.   Abstract Planting and managing agricultural land with the help of technology has succeeded in providing convenience and increasing production sales. Although research on the application of technology has been conducted, disparities between business processes and systems still need to be addressed due to a lack of integration of business processes. Furthermore, the ever-increasing complexity of agricultural business processes necessitates business process changes. This study aims to improve business processes by analyzing the improvement and modeling of business processes of fruit cultivation management systems. This study uses Business Process Improvement (BPI) to improve the business processes of the Agrowing fruit cultivation management system, and it models it using the Business Process Model and Notation (BPMN). This study is divided into four stages: identifying the business processes involved in fruit cultivation, analyzing them as they are currently (as-is), analyzing them as they will be improved (to-be), and testing. Testing is performed by simulating business process time using the bizagi modeler tool and computing quality measures with the Complexity Metric (CFC) and Coupling Metric (CP). Improving fruit cultivation business processes using the BPI approach has reduced processing time. In addition, the quality of the resulting model is easy to understand and modify. The resulting business process model can be used as a reference for the design stage in the development of the Agrowing fruit cultivation management system so that it supports the development of agricultural information technology sustainably and helps farmers produce quality fruit.
EFFORT ESTIMATION MODELING OF E-GOVERNMENT APPLICATION DEVELOPMENT USING FUNCTION POINTS BASED ON TOR AND SRS DOCUMENT Noorlela Marcheta; Irman Hermadi; Yani Nurhadryani
Journal of Information Technology and Its Utilization Vol 3 No 1 (2020)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.3.1.2839

Abstract

Software cost estimation is important for information systems management and is generally taught in software engineering courses especially to terms of the ever-increasing development of E-Government. A significant challenge for Software Sizing (SS) is to determine cost estimates based on TOR documents that do not yet contain complete Software Requirements Specifications (SRS). This study uses Function Points as one of the measurement methods that can make cost estimates and expert needs based on the desired functional system. On the other hand, there are cases where estimation needs after the SRS document have been made. Thus in this study, the authors discuss the implementation of SS based on TOR and SRS documents for E-Government. The results of this study indicate the closeness of the actual and estimated values of 81.9% for TOR and 93.4% for SRS.
Co-Authors A.Muh.Yakin Amin Aang Gunaidi Agus Buono Buono Ahmad, Hafidlotul Fatimah Ali Djamhuri Anak Agung Gede Sugianthara Anang Kurnia Anestya Ayunda, Winda Arif Imam Suroso Ariq Cahya Wardhana ASEP SAEFUDDIN Astri Fatimah Auzi Asfarian Auzi Asfarian Baba Barus Dean Apriana Ramadhan Dean Apriana Ramadhan Defina Desi Nadalia Desta Wirnas Elfrida Ratnawati Emilia Syafitri Eneng Tita Tosida Erika Nachrowi Erliza Hambali Fajar Delli Wihartiko Faqih Udin dan Jono M. Munandar Meivita Amelia Fatimah, Hilmi Azmi Fauzi, Luthfi Faishal Feriadi Feriadi, Feriadi Firman Ardiansyah Fryonanda, Harfebi Gunaidi, Aang Halimah Tus Sa'diah Hari Agung Adrianto Heru Sukoco HUSNUL KHOTIMAH I Gusti Ngurah Antaryama Indah Pratiwi Inne Larasati Inne Larasati Intan Purnamasari Irhamni . Irma Rosalina Irman Hermadi Julio Adisantoso Kesuma, I Nyoman Rai Widartha Kirana Nuryunita Kirana Nuryunita Luthfan Almanfaluthi Marizsa Herlina Moh Djemdjem Djamaludin, Moh Djemdjem Muhammad Naufal Farras Mastika Mulus, Rachmat Tauffan Neny Rosmawarni Noorlela Marcheta Nuryantika, Fitria Pudji Muljono Rahardiantoro, Septian Rahma Anisa Rahma, Yunita Ratna Agustina, Ratna Ravie Kurnia Laday Rifai, Nur Azizah Komara Riyanto Rizq, Shafira Ryska Putri Madyasari Saputra, Feby Tri Setyadi, Wawan Siti Zubaidah Sokoco, Heru Sony Hartono Wijaya Sony Wijaya Sri Wahjuni Subhan Deni Hermawan Sukarna Sukarna Supriyadi Supriyadi Suskamiyadi Suskamiyadi Suskamiyadi Suskamiyadi Susy Katarina Sianturi Susy Katarina Sianturi Taufik Djatna Tiana, Ade Hikma Wahjuni, Sri Wijaya, Sony Winda Anestya Ayunda Wiradani Ramadhan Wulandari Wulandari Yusmar, Addini Yusuf, Sri Malahayati