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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmu Komputer dan Informasi Jurnal Simetris MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Journal of Telematics and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics BAREKENG: Jurnal Ilmu Matematika dan Terapan TEKNOLOGIA TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Journal of Informatics and Computing JPMB Parahita Scientific Journal of Informatics

Ariana Yunita

Department Of Computer Science, Universitas Pertamina, Jakarta

Author-ID : 580714

Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Transportation

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IMPLEMENTASI METODE MULTIPLE KERNEL SUPPORT VECTOR MACHINE UNTUK SELEKSI FITUR DARI DATA EKSPRESI GEN DENGAN STUDI KASUS LEUKIMIA DAN TUMOR USUS BESAR Yunita, Ariana; Fatichah, Chastine; Yuhana, Umi Laily
MATICS MATICS (Vol. 4 No. 2
Publisher : Department of Informatics Engineering

Pada penelitian ini mengimplementasikan metode multiple kernel support vector machine untuk seleksi fitur. Multiple kernel merupakan metode modifikasi fungsi kernel yang mengalikan tiap elemen dari data. Metode ini melakukan seleksi fitur terhadap fitur yang kurang penting dengan tingkat akurasi lebih baik daripada metode dasar support vector machine. Uji coba dilakukan dengan menggunakan dataset ekspresi gen leukimia dan tumor usus besar. Hasil uji coba dibandingkan dengan tingkat akurasi metode support vector machine tanpa seleksi fitur. Tingkat akurasi metode multiple kernel support vector machine yang dihasilkan untuk data ekspresi gen leukimia yaitu 85% dan untuk data tumor usus besar sebesar 69%. Sedangkan tingkat akurasi dengan metode dasar support vector machine yaiu sebesar 82% untuk data leukimia dan 59% untuk data tumor usus besar. Seleksi fitur dapat mempersingkat waktu komputasi sehingga dapat dikembangkan untuk banyak aplikasi pengenalan pola.Â Kata Kunci: Multiple kernel, support vectorÂ machine, seleksi fitur, data ekspresi gen

ESTABLISHING REQUIREMENT IN TEACHING NEW AND RENEWABLE ENERGY Susanty, Meredita; Yunita, Ariana; Setiawan, Erwin
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 2 (2019): JURNAL SIMETRIS VOLUME 10 NO 2 TAHUN 2019
Publisher : Universitas Muria Kudus

The distinctive shortage in the availability of skilled labor in new and renewable energy sector becomes the issue that has been prevented this country in achieving the national energy mix in 2015 and 2050. Although both formal and non-formal education initiatives already exist to foster new and renewable energy education, the number of graduates cannot outpace the number of required labor. The number of graduates and their competencies must be considered because local labors are facing intense competition with foreign labors due to ASEAN Economic Community policy. This research aims to find a solution to address the educational issue in new and renewable energy education. This research is using iterative methodology from the software engineering domain to identify issues and problems in new and renewable energy education in Indonesia and suggested alternatives to address it. Combination of techniques (questionnaire, interview, studying documentation, and research a similar product) is used in requirement elicitation stage in order to provide multiple perspectives.

Feasibility Study: Online Learning for Supporting Rural Renewable Energy Projects Meredita Susanty; Erwin Setiawan; Ariana Yunita; Herminarto Nugroho
Journal of Telematics and Informatics Vol 7, No 2: JUNE 2019
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v7i2.

Indonesian government set the target for new and renewable energy (NRE) is expected to be 23% in 2025 and 31% in 2050, where in 2017, NRE was only 12,5%. Building a new and renewable energy project is the easy part. Keeping the generator working over time, however, is a complex business that requires money, training and innovative thinking. One of essential parameters that can help in achieving a successful sustainable project is community involvement. If the community feels a strong sense of ownership, they'll see their generator as a critical asset to everyone and take good care of it collectively. Training and educating the community about how to take care of the generator after the project construction has completed becomes important. Considering Indonesia’s geographical location, e-learning might be a potential tool to reduce training and education cost in new and renewable project. This study aims to identify whether e-learning is an effective and efficient method to deliver training material and educate local people which will improve renewable energy project’s sustainability in Indonesia.

Fully Convolutional Variational Autoencoder For Feature Extraction Of Fire Detection System Herminarto Nugroho; Meredita Susanty; Ade Irawan; Muhamad Koyimatu; Ariana Yunita
Jurnal Ilmu Komputer dan Informasi Vol 13, No 1 (2020): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information
Publisher : Faculty of Computer Science - Universitas Indonesia

This paper proposes a fully convolutional variational autoencoder (VAE) for features extraction from a large-scale dataset of fire images. The dataset will be used to train the deep learning algorithm to detect fire and smoke. The features extraction is used to tackle the curse of dimensionality, which is the common issue in training deep learning with huge datasets. Features extraction aims to reduce the dimension of the dataset significantly without losing too much essential information. Variational autoencoders (VAEs) are powerfull generative model, which can be used for dimension reduction. VAEs work better than any other methods available for this purpose because they can explore variations on the data in a specific direction.

ESTABLISHING REQUIREMENT IN TEACHING NEW AND RENEWABLE ENERGY Meredita Susanty; Ariana Yunita; Erwin Setiawan
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 2 (2019): JURNAL SIMETRIS VOLUME 10 NO 2 TAHUN 2019
Publisher : Universitas Muria Kudus

Robust Principal Component Analysis for Feature Extraction of Fire Detection System Herminarto Nugroho; Muhamad Koyimatu; Ade Irawan; Ariana Yunita
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v5.1716

Fire detection system with deep learning-based computer vision (DLCV *) algorithm is proposed in this paper. It uses visible light sensor charged-coupled device (CCD) which can be usually found in closed circuit television camera (CCTV). The performance of this DLCV fire detection depends on how many fire image datasets are trained that might lead to the curse of dimensionality. To tackle the curse of dimensionality, Principal Component Analysis (PCA) will be used. PCA is a technique for feature extraction in which the dimensionality of such datasets is reduced significantly. This will results in increasing interpretability but at the same time minimizing information loss.

ANALISIS KEBUTUHAN UNTUK MEMBANGUN MEDIA PEMBELAJARAN MAYA YANG MENDUKUNG PROYEK ENERGI BARU DAN TERBARUKAN: ANALISIS KEBUTUHAN PENGGUNA Ariana Yunita; Meredita Susanty; Galang Amanda Dwi Pamungkas; Herminarto Nugroho
JURNAL TEKNOLOGIA Vol 1 No 2 (2019): Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.063 KB)

Energy security has become the main issue for Indonesia Government because Indonesia is targeted to be independent in energy field.To reach the goals NRE usage, there should be cooperations amongst all party : government, society, academicians as well as corporates. Virtual Learning Environment (VLE) is a powerful application to deliver knowledge in the digital age while contributes to educate society about New and Renewable Energy (NRE). However, user requirements are needed before developing VLE to reveal existing conditions and understand the users’ behaviour. This paper purposes to understand the user requirements, who are university students, to contribute to NRE project. Research methods used are interview, observation and questionnaire. Interview was conducted with Lentera Bumi Nusantara who develops NRE technology especially wind turbine in Indonesia. Observation was done in Lentera Bumi Nusantara’s office and questionnaire was distributed amongst 92 students in Universitas Pertamina, Jakarta, Indonesia. The results show that university students are human resources needed in NRE project. Then, learning materials regarding how to build blade and wind turbine have not distributed to others. Furthermore, results show that 84% of university students are ready to contribute in NRE project. However, only 37% of university students own original idea for NRE project related to their academic background. To build the VLE to support NRE projects, there should be menu for university students to discuss online so they can share ideas regarding NRE and menu for contributing to NRE project in Indonesia.

Peningkatan Literasi Komputer Melalui Pelatihan Micosoft Excel Advanced Untuk Efisiensi Pekerjaan di Instansi Pemerintahan Meredita Susanty; Erwin Setiawan; Wahyu Kunto Wibowo; Herminarto Nugroho; Ade Irawan; Tasmi Tasmi; Muhamad Koyimatu; Aulia Rahma Annisa; Teguh Aryo Nugroho; Ariana Yunita
Terang Vol 4 No 2 (2022): TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/terang.v4i2.1528

Era digital melahirkan berbagai potensi dan tantangan yang memasuki berbagai bidang seperti politik, ekonomi, sosial budaya, pertahanan dan keamanan serta teknologi informasi. Pemerintahan atau sistem birokrasi di Indonesia juga tidak luput dari potensi dan tantangan perkembangan era digital ini. Salah satu tantangan besar yang harus dihadapi oleh sistem birokrasi Indonesia adalah tuntutan lahirnya inovasi yang berorientasi pada teknologi digital, sehingga inovasi ini diharapkan dapat memudahkan Aparatur Sipil Negara (ASN) dalam melaksanakan tugas dan fungsinya. Kemudahan segala pekerjaan dengan berbasis aplikasi dan teknologi ini selanjutnya diharapkan mampu memberikan pelayanan yang lebih optimal kepada masyarakat. Menanggapi tantangan ini, civitas Universitas Pertamina melalui program Pengabdian Kepada Masyarakat (PKM) berbagi pengetahuan, ilmu dan keahlian dalam penggunakan Microsoft Excel untuk mendukung efektivitas pengerjaan pekerjaan harian pada ASN Kantor Pelayanan Kekayaan Negara dan Lelang (KPKNL) Bekasi. Kegiatan ini diharapkan meningkatkan kemampuan Sumber Daya Manusia di kalangan KPKNL Bekasi, meningkatkan efektifitas dan efisiensi pelaksanaan tugas dan fungsi sehari-hari, serta menjadi katalis dalam munculnya inovasi yang berorientasi pada teknologi digital.

The Tweetology of New and Renewable Energy in Indonesia Ariana Yunita; Sara Florensia Telaumbanua; Ade Irawan
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 17, No 2 (2023): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.81397

The amount of unstructured data is increasing annually, which is promising forgaining insights. Twitter, a platform producing unstructured data, is currently one of the mostpopular media platforms used for conducting research on a topic's trend. This study attempts toanalyze the topic of New and Renewable Energy (NRE) in Indonesia. The purpose of this studyis to gain insights into the NRE topic trend over the last ten years by modeling the topicsdiscussed on Twitter and examining the location distribution of users who post tweets about thetopic. Accordingly, this study employed descriptive analysis, geocoding analysis, and topicmodeling. The results of descriptive analysis show that the development of NRE has acceleratedin recent years, particularly in 2021. Geocoding analysis reveals that the distribution of peoplewho engage in NRE posting activities is dominated by DKI Jakarta province. Topic modelingyielding two topics that were discussed the most by Indonesians over a 10-year period. The twotopics are related to government policies that support the development of NRE and electricity,which is Indonesia's focus in NRE. This study highlights the importance of analyzing theTweetology of NRE.

RANCANG BANGUN SISTEM PENGELOLAAN KEUANGAN MASJID DENGAN METODE PROTOTYPE Ariana Yunita; Shelma Alifia; Randi Farmana Putra
Journal of Informatics and Computing (RANDOM) Vol. 3 No. 1 (2024): Journal of Informatics and Computing
Publisher : Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/random.v3i1.60

The mosque is a holy place for Muslims which functions as a place of worship and also various religious activities. In carrying out its functions, there is a mosque administrator called the Mosque Welfare Council (DKM), which is an organization that carries out tasks voluntarily, starting from supervision. maintenance, to financial management. In carrying out financial management, transparency and accountability are important, so this encourages the design of a mosque financial management system. This research uses a case study of the Arrahmah Mosque in Cilegon to assist DKM in carrying out mosque management. So far, financial reports have been stored in one Excel file containing many sheets, where each sheet contains financial reports for a particular month, making it difficult to analyze cash flow. The Ar-Rahmah Mosque's financial reports are distributed by printing and attaching them to the walls of the mosque. This research was conducted to design and build a financial management system for the Ar-Rahmah Mosque that can manage finances and report finances online to mosque congregations using the Prototyping method. The stages begin with requirements gathering, quick design, build prototype, prototype evaluation, implementation design, and testing. The test results show that the Ar-Rahmah Mosque's financial management system can meet all needs and the system can process financial data, assets and activity information which can be accessed via a browser.

Co-Authors Ade Irawan Ade Irawan Ade Irawan Adharis, Azis Afdhal, Ahmad Afiq, Muhammad Aldri Frinaldi Angelia Regina Dwi Kartika Aulia Rahma Annisa Berghuis, Nila Tanyela Chastine Fatichah Erwin Setiawan Erwin Setiawan Erwin Setiawan, Erwin Fauziyah, Andanda Reza Fuqaha, Hafizh Galang Amanda Dwi Pamungkas Herminarto Nugroho Herminarto Nugroho Istadewi, Berliani Jayawarsa, A.A. Ketut Koyimatu, Muhamad Mayangsari, Tirta Rona Muhamad Koyimatu Muhamad Koyimatu Noegraha, Rangga Ganzar Nugroho, Herminarto Ramadhan, Zhafran Randi Farmana Putra Ratri, Paramita Jaya Sakinah, Nanda Sara Florensia Telaumbanua Shelma Alifia Sofiyah, Evi Siti Susanty, Meredita Tasmi Tasmi Tasmi Tasmi, Tasmi Teguh Aryo Nugroho Umi Laily Yuhana, Umi Laily Wahyu Kunto Wibowo

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