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All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmu Komputer dan Informasi JURNAL TEKNOLOGI LINGKUNGAN Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Journal of Telematics and Informatics Jurnal Terapan Abdimas Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Informatika Universitas Pamulang ABDIMAS SILIWANGI Petir TEKNOLOGIA Jurnal Migasian Akamigas Balongan Indramayu TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Jurnal Abdi Insani Jurnal AKAL: Abdimas dan Kearifan Lokal Jurnal Migasian

Susanty, Meredita

Universitas Pertamina

Author-ID : 1006854

Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

Published : 59 Documents Claim Missing Document

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Analisis Latensi Pada Aplikasi Virtual Reality Untuk Anak Dengan Autism Syndrome Disorder Muhammad Ariq Rafly; Meredita Susanty
Jurnal Informatika Vol 9, No 1 (2022): April 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Virtual Reality (VR) atau realitas maya adalah sebuah cabang media interaktif yang terus berkembang. VR merupakan teknologi yang dapat membuat pengguna dapat berinteraksi dengan lingkungan dalam dunia maya yang disimulasikan oleh komputer. VR membuat pengguna merasa berada di dalam lingkungan tersebut. Dalam mengembangkan VR kita harus memiliki pengetahuan tentang teknologi sensing and tracking, stereoscopic display, multimodal interaksi dan recognition (contoh : metafora dan menu tiga dimensi, suara, dan gerakan), grafis komputer, simulasi fisika dan lainya. Dengan teknologi-teknologi tersebut, VR dapat memanipulasi otak penggunanya seakan-akan berada pada dunia lain. Karena membutuhkan tingkat grafis visual yang tinggi untuk memberikan pengalaman yang realistis, salah satu tantangan utama dalam mengembangkan aplikasi permainan VR adalah latensi yang tinggi. Latensi yang tinggi mengakibatkan menurunnya kualitas pengalaman pengguna, karena ada waktu tunda antara aksi dari pengguna dan respon pada aplikasi. Latensi dalam penggunaan VR bahkan dapat menyebabkan sensasi mabuk. Penelitian ini bertujuan mengembangkan aplikasi VR dengan latensi rendah dengan studi kasus aplikasi permainan untuk anak dengan Autism Spectrum Disorder (ASD) dengan tetap mempertahankan kualitas grafik visual yang baik. Pada penelitian ini, nilai latensi per komponen kualitas visual dan nilai kualitas performa aplikasi diukur menggunakan tools profiler dari Unity. Hasil pengujian menunjukkan bahwa penurunan nilai masing-masing komponen visual sepertianti-aliasing, shadow resolution, cascades dan soft shadow dapat mengurangi latensi. Diantara komponen visual tersebut, anti-aliasing yang berkontribusi paling besar terhadap latensi. Penelitian ini berhasil mendapatkan kombinasi optimum diantara komponen-komponen visual tersebut untuk mendapatkan latensi yang rendah dan grafik visual yang baik.

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.

Identifikasi Batuan Berdasarkan Data Well Log Menggunakan K-Means Clustering Meredita Susanty; Prinsislamsheeny Brilliantdianty Ebelaristra; Ahmad Fauzan Rahman; Ade Irawan; Ikri Madrinovella; Weny Astuti
Jurnal Migasian Vol 4 No 1 (2020): Jurnal Migasian
Publisher : LPPM Akademi Minyak dan Gas Balongan Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36601/jurnal-migasian.v4i1.96

One of the stages in oil and gas exploration is a Petrophysical analysis, which aims to determine the structure of rock layers below the earth's surface. The petrophysical analysis uses physical properties in a well-log to determine the rock type below the surface. Nowadays, the software for conducting petrophysical analysis has utilized a machine-learning approach to predict rock types. Most of the software uses the supervised learning method to classify rock types. This research uses a different approach, unsupervised learning, to group rock types based on various features in a well-log. Using a publicly available well-log in Stafford, United States, and the k-means clustering algorithm, this study groups the data into 3 clusters. The result is compared with manual analysis interpretation and shows an alignment between them. From the result, it shows that the unsupervised learning method effectively predicts limestone, shale, and evaporites in the well. It classifies the dataset into useful clusters, generates useful lithologies, provides useful rock characterization, and less time-consuming.

Pore Pressure Prediction Using Artificial Neural Network Based On Logging Data RAKA SUDIRA WARDANA; Meredita Susanty; Hapsoro B.W
Jurnal Migasian Vol 4 No 1 (2020): Jurnal Migasian
Publisher : LPPM Akademi Minyak dan Gas Balongan Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36601/jurnal-migasian.v4i1.97

Pore pressure is a critical parameter in designing drilling operations. Inaccurate pore pressure data can cause problems, even incidents in drilling operations. Pore pressure data can be obtained from direct measurement methods or estimated using indirect measurement methods such as empirical models. In the oil and gas industry, most of the time, direct measurement is only taken in certain depth due to relatively high costs. Hence, empirical models are commonly used to fill in the gap. However, most of the empirical models highly depend on specific basins or types of formation. Furthermore, to predict pore pressure using empirical models accurately requires a good understanding in determining Normal Compaction Trendline. This proposed approach aims to find a more straightforward yet accurate method to predict pore pressure. Using Artificial Neural Network Model as an alternative method for pore pressure prediction based on logging data such as gamma-ray, density, and sonic log, the result shows a promising accuracy.

LOW-COST RASPBERRY-BASED MOBILE PAYMENT SYSTEM FOR CASHLESS TRANSACTION IN GASOLINE STATION Rahmat Septian Wijanarko; Meredita Susanty
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

To embrace the cashless future, PT PERTAMINA collaborate with various banks and LinkAja!, one of e-finance services in Indonesia, to accept cashless payment using QR code technology using mobile application. The cashless payment now accepted in both conventional gas station and self-service gas station. However, at a self-service gas station, customers generally make payments before refueling to an operator located in the control post (before the dispenser area/refueling area). It requires the customer to return to the operator in order to request the change when they stop refueling before reaching the requested volume. This research proposes some modifications toward the fuel dispenser so that the dispenser is able to accept cashless payment, provide correct amount of fuel, and guarantee payment for each transaction even when there are no operators around. The implementation of this prototype improves service at gas station by reducing queue time about three to seven second per vehicle, improve company efficiency by reducing the number of operators in gas station from one operator per dispenser to one operator per station, also, it removes the balancing process performed by the operator at the end of the shift. Sales reports are generated automatically in near real-time.

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

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.

RANCANG PURWARUPA SMART DIGITAL-WALLET BERBASIS PURWARUPA MOBILE UNTUK SPBU MANDIRI Meredita Susanty; Rahmat Septian Wijanarko
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 (915.201 KB)

As a commitment for service improvement, Pertamina provides self-service gas station to reduce queue time and various non-cash payment methods such as debit and credit cards in cooperation with various banks, or subscription cards such as Gazcard which is issued by Pertamina. Nonetheless, these two services have not been integrated. Cashless payment is only available at conventional gas stations. This research proposes a new payment method for self-service stations using digital-wallet, a mobile-based applications, which will overcome the limitations of the existing payment methods at self-service gas station in terms of the guarantee payment for each transaction even when there is no operators around and the flexibility of payment in accordance with the volume of gasoline pumped out from dispenser. In addition, some modifications are also made toward the dispenser so that the dispenser is able to read the customer ID and communicate with the backend system of the mobile application. Implementation of this prototype is expected to improve service at SPBU by reducing queue time, improve company efficiency by reducing the number of operators in gas station. Furthermore, mobile applications can be utilized as communication channel with customers in order to improve customer engagement. In the long run, data obtained from recorded transactions can be used for various analyzes such as customer needs identification, loyalty program analysis, and provide additional services based on pattern captured from the data.

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.

STUDI KOMPARASI PENGGUNAAN AC KESET DAN AC SPLIT DALAM GEDUNG GRIYA LEGITA UNIVERSITAS PERTAMINA Meredita Susanty; Aditya Dewata Putra; Laras Ijmania Kusuma; P. B. Ebelaristra; Refal Pradama Dahlan; Vicky Sultan Ahmad
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 (760.606 KB)

Air Conditioning is one of the most energy-consuming infrastructure in a building, which makes it one of the things that an asset manager needs to pay special attention to. This research uses comparative method that compares the current AC usage scenario in Universitas Pertamina’s Griya Legita Building, which currently uses both split AC and cassette AC, with a scenario where the whole building only uses either split AC or cassette AC. The calculation shows that, although the first-year investment for new AC installation costs more than the current scenario, the scenario where the whole building uses only split AC is proven to be a more cost-efficient investment in the long run. The result of this research is an important asset for the asset manager of Universitas Pertamina to consider in order to save energy consumption cost in Universitas Pertamina.

Co-Authors Ade Irawan Ade Irawan Ade Irawan Adhytia Ihza Mahendra Adikara Perkasa B.Tjaru Aditya Dewata Putra Afriansyah Afriansyah Afriansyah Afriansyah Agung Muhammad Rizki Agung Wahyu Setiawan Ahmad Fauzan Rahman Ahmad Fauzan Rahman Akbar Barrinaya Akbar Nurcahyo Akhmal Rizkyanto Ari Pramuja Ari Pramuja Ariana Yunita Arie Ardiansyah Siswanto Aries Dwi Prasetiyo Ashari, Arya Aulia Rahma Annisa B.W, Hapsoro Birgitta Sekar Winda Bramantyo, Rakesh Cipta Aditya Rahman Cleoputra Goldi Abdichianto Darmawan, Muhammad Redho Dheny Dwi Prakoso Dheo Artha Dicky Rangga Buwono Dicky Rangga Buwono Dimitri Mahayana Dwiki Ambarwanto Putra Ebelaristra, Prinsislamsheeny Brilliantdianty Erwin Setiawan Erwin Setiawan Erwin Setiawan Erwin Setiawan, Erwin Fadillah, Riestiya Zain Fajar Faizin Fajar Faizin Farah Mardiana Farhan Akbar Febrian Mario Fermana, Randi Fernando Iskandar Fitri Karimah Florin Karmina Manalu Galang Amanda Dwi Pamungkas Hafiz, Abdullah Ahmad Hapsoro B.W Harya Dwi Nugraha Herminarto Nugroho Herminarto Nugroho Iffah Zahira Ikri Madrinovella Iktri Madrinovella Intan Oktafiani Ira Puspasari Jannoke, Ludovika Karimah, Fitri Laras Ijmania Kusuma Ludovika Jannoke Madrinovella, Ikri Mahendra, Adhytia Ihza Marrosandy Bagus Saputra Megandi Megandi Megandi, Megandi Megandi, Megandi Mochamad Daffa Sangaji Muh Muhsan Maulana Muh Nur Yasin Muh. Nur Yasin Muhamad Koyimatu Muhamad Koyimatu Muhammad Alviazra Muhammad Ariq Rafly Muhammad Deta Aditya Muhammad Dzaky Normansyah Muhammad Fauzi Arda Saputra Muhammad Herdian Syah Muhammad Qubaisy Andiyantama Muhammad Rais Ridho Muhammad Redho Darmawan Muhammad Rizky Widyayulianto Muhammad Tuni Subayu Muharik Muharik Muhasabah, Alzahid Nilam Fitriah Nugroho, Herminarto Nurul Afifah Oktaviani, Intan P. B. Ebelaristra Pangestu, Muhamad Benando Prinsislamsheeny Brilliantdianty Ebelaristra Prinsislamsheeny Brilliantdianty Ebelaristra Putra, Adam Marsono Putra, Adam Marsono Rahman, Ahmad Fauzan Rahmat Septian Wijanarko Rahmat Septian Wijanarko RAKA SUDIRA WARDANA Randi Fermana Refal Pradama Dahlan Revyra Phoebe Fransiska Ricky Suwandy Riestiya Zain Fadillah Rizka Hutami RUKMAN HERTADI Sabila Hadinnisa Sahrul Sukardi Sahrul, Sahrul SAHRUL, SAHRUL Satria Dewo Shelvy Intan Soraya Silvia Takarina Soraya, Shelvy Intan Soraya, Shelvy Intan Tasmi Tasmi Tasmi Tati Latifah Erawati Rajab Teguh Aryo Nugroho Tirta Rona Mayangsari Tiurmauli Rahel Ernita Vicky Sultan Ahmad Wahyu Kunto Wibowo Wardana, Raka Sudira Waskito Pranowo Weny Astuti Weny Astuti Weny Astuti Wijanarko, Rahmat Septian Yasa, Nugi Gahara Yasa, Nugi Gahara Zakaria, Hasballah

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