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

Identifikasi Batuan Berdasarkan Data Well Log Menggunakan K-Means Clustering Susanty, Meredita; Ebelaristra, Prinsislamsheeny Brilliantdianty; Rahman, Ahmad Fauzan; Irawan, Ade; Madrinovella, Ikri; Astuti, Weny
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 WARDANA, RAKA SUDIRA; Susanty, Meredita; B.W, Hapsoro
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.

Perbandingan Penggunaan Panel Surya dan Turbin Angin dalam Implementasi Energi Baru Terbarukan (EBT) di Lingkungan Universitas Pertamina Fadillah, Riestiya Zain; Mahendra, Adhytia Ihza; Pangestu, Muhamad Benando; Afriansyah, Afriansyah; Rahman, Ahmad Fauzan; Muhasabah, Alzahid; Susanty, Meredita; Setiawan, Erwin
Jurnal Teknologi Lingkungan Vol. 22 No. 1 (2021)
Publisher : Center for Environmental Technology - Agency for Assessment and Application of Technology

ABSTRACT Health risk characteristics expressed as a Risk Quotient (RQ) can be carried out through an environmental health risk analysis (ARKL) approach. This approach can estimate the public health risk caused by the concentration of risk agents of particulates consisting of PM2.5, PM10, and TSP. The research on the fluctuation of ambient air particulate pollutant and its risk to public health was conducted in each sub-district of Bogor City. Author identified a total of 360 respondents to determine the community anthropometric variable of exposures for time, frequency, and duration. There are several steps that need to be carried out to obtain the RQ value, namely identification of hazards from particulate risk agents, analysis of the dose-response in the form of Reference Concentration (RFC), analysis of the exposure obtained based on anthropometric variables, and the concentration of risk agents as well as characteristics of risk levels. The risk level characteristic shows that the RQ value of TSP is always the highest one, followed by PM10 and PM2.5. The respective RQ values of TSP for male and female residents are 1.85 and 1.53. Cumulatively, the male and female population in Tanah Sareal produced the highest RQ values. Those are 4.44 and 3.36, respectively. At the same time, the lowest cumulative RQ was obtained for male and female residents in East Bogor with RQ values of 2.96 and 2.54. The RQ value of each risk agent or the cumulative RQ that is more than 1 (RQ> 1) is stated to have or has a health risk, so it needs to be controlled, while the RQ value which is less than one (1) is displayed not to need to be controlled but needs to be maintained. Keywords: particulate, risk level, exposure assessment, anthropometric characteristic, environmental health risk assessment Â ABSTRAK Karakteristik risiko kesehatan yang dinyatakan sebagai Risk Quotient (RQ) dapat dilakukan melalui pendekatan Analisis Risiko Kesehatan Lingkungan (ARKL). Pendekatan ini dapat mengestimasi risiko kesehatan masyarakat yang disebabkan oleh konsentrasi agen risiko yaitu PM2,5, PM10, dan TSP di tiap-tiap kecamatan di Kota Bogor. Penulis mengidentifikasi sebanyak 360 responden yang terdiri dari laki-laki dan perempuan untuk menentukan variabel antropometri masyarakat di Kota Bogor, waktu paparan, frekuensi paparan, serta durasi paparan. Ada beberapa tahapan yang perlu dilakukan untuk memperoleh nilai RQ, yaitu identifikasi bahaya dari agen risiko partikulat, analisis dosis-respon berupa Reference Concentration (RfC), analisis pajanan yang diperoleh berdasarkan variabel antropometri dan konsentrasi agen risiko serta karakteristik tingkat risiko. Karakteristik tingkat risiko menunjukkan nilai RQ TSP selalu paling tinggi diikuti PM10, dan terendah adalah RQ PM2,5 dengan nilai tertinggi TSP untuk penduduk laki-laki dan perempuan masing-masing sebesar 1,85 dan 1,53. Secara kumulatif, penduduk laki-laki dan perempuan di Tanah Sareal menghasilkan nilai RQ tertinggi masing-masing sebesar 4,44 dan 3,36. Sedangkan RQ kumulatif terendah diperoleh untuk penduduk laki-laki dan perempuan di Bogor Timur dengan nilai RQ 2,96 dan 2,54. Nilai RQ tiap agen risiko ataupun RQ kumulatif yang lebih dari 1 (RQ>1) dinyatakan memiliki atau terdapat risiko kesehatan sehingga perlu dikendalikan, sementara nilai RQ yang masing kurang dari satu dinyatakan tidak perlu dikendalikan tetapi perlu dipertahankan. Kata kunci: partikulat, tingkat risiko, analisis pajanan, karakteristik antropometri, analisis risiko kesehatan lingkungan

Perbandingan Penggunaan Panel Surya dan Turbin Angin dalam Implementasi Energi Baru Terbarukan (EBT) di Lingkungan Universitas Pertamina Fadillah, Riestiya Zain; Mahendra, Adhytia Ihza; Pangestu, Muhamad Benando; Afriansyah, Afriansyah; Rahman, Ahmad Fauzan; Muhasabah, Alzahid; Susanty, Meredita; Setiawan, Erwin
Jurnal Teknologi Lingkungan Vol. 22 No. 1 (2021)
Publisher : Center for Environmental Technology - Agency for Assessment and Application of Technology

ABSTRACT Health risk characteristics expressed as a Risk Quotient (RQ) can be carried out through an environmental health risk analysis (ARKL) approach. This approach can estimate the public health risk caused by the concentration of risk agents of particulates consisting of PM2.5, PM10, and TSP. The research on the fluctuation of ambient air particulate pollutant and its risk to public health was conducted in each sub-district of Bogor City. Author identified a total of 360 respondents to determine the community anthropometric variable of exposures for time, frequency, and duration. There are several steps that need to be carried out to obtain the RQ value, namely identification of hazards from particulate risk agents, analysis of the dose-response in the form of Reference Concentration (RFC), analysis of the exposure obtained based on anthropometric variables, and the concentration of risk agents as well as characteristics of risk levels. The risk level characteristic shows that the RQ value of TSP is always the highest one, followed by PM10 and PM2.5. The respective RQ values of TSP for male and female residents are 1.85 and 1.53. Cumulatively, the male and female population in Tanah Sareal produced the highest RQ values. Those are 4.44 and 3.36, respectively. At the same time, the lowest cumulative RQ was obtained for male and female residents in East Bogor with RQ values of 2.96 and 2.54. The RQ value of each risk agent or the cumulative RQ that is more than 1 (RQ> 1) is stated to have or has a health risk, so it needs to be controlled, while the RQ value which is less than one (1) is displayed not to need to be controlled but needs to be maintained. Keywords: particulate, risk level, exposure assessment, anthropometric characteristic, environmental health risk assessment Â ABSTRAK Karakteristik risiko kesehatan yang dinyatakan sebagai Risk Quotient (RQ) dapat dilakukan melalui pendekatan Analisis Risiko Kesehatan Lingkungan (ARKL). Pendekatan ini dapat mengestimasi risiko kesehatan masyarakat yang disebabkan oleh konsentrasi agen risiko yaitu PM2,5, PM10, dan TSP di tiap-tiap kecamatan di Kota Bogor. Penulis mengidentifikasi sebanyak 360 responden yang terdiri dari laki-laki dan perempuan untuk menentukan variabel antropometri masyarakat di Kota Bogor, waktu paparan, frekuensi paparan, serta durasi paparan. Ada beberapa tahapan yang perlu dilakukan untuk memperoleh nilai RQ, yaitu identifikasi bahaya dari agen risiko partikulat, analisis dosis-respon berupa Reference Concentration (RfC), analisis pajanan yang diperoleh berdasarkan variabel antropometri dan konsentrasi agen risiko serta karakteristik tingkat risiko. Karakteristik tingkat risiko menunjukkan nilai RQ TSP selalu paling tinggi diikuti PM10, dan terendah adalah RQ PM2,5 dengan nilai tertinggi TSP untuk penduduk laki-laki dan perempuan masing-masing sebesar 1,85 dan 1,53. Secara kumulatif, penduduk laki-laki dan perempuan di Tanah Sareal menghasilkan nilai RQ tertinggi masing-masing sebesar 4,44 dan 3,36. Sedangkan RQ kumulatif terendah diperoleh untuk penduduk laki-laki dan perempuan di Bogor Timur dengan nilai RQ 2,96 dan 2,54. Nilai RQ tiap agen risiko ataupun RQ kumulatif yang lebih dari 1 (RQ>1) dinyatakan memiliki atau terdapat risiko kesehatan sehingga perlu dikendalikan, sementara nilai RQ yang masing kurang dari satu dinyatakan tidak perlu dikendalikan tetapi perlu dipertahankan. Kata kunci: partikulat, tingkat risiko, analisis pajanan, karakteristik antropometri, analisis risiko kesehatan lingkungan

Data Augmentasi Untuk Mengatasi Keterbatasan Data Pada Model Penerjemah Bahasa Isyarat Indonesia (BISINDO) Fadillah, Riestiya Zain; Irawan, Ade; Susanty, Meredita
Jurnal Informatika Vol 8, No 2 (2021): September 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Ada dua sistem bahasa isyarat yang digunakan di Indonesia; Sistem Isyarat Bahasa Indonesia (SIBI) dan Bahasa Isyarat Indonesia (Bisindo). Penggunaan bahasa isyarat di kelompok masyarakat tuli dan difabel rungu di Indonesia masih terpecah. Pemerintah mewajibkan penggunaan SIBI sebagai bahasa pengantar resmi di Sekolah Luar Biasa namun insan rungu Indonesia lebih gemar menggunakan Â Bisindo. Hal ini dikarenakan Bisindo memiliki akar kata yang berasal dari Bahasa Indonesia dan satu gerakan mewakili kata. Tidak seperti SIBI yang menggunakan gerakan isyarat berdasarkan tata bahasa orang mendengar. Gerakan untuk Kesejahteraan Tunarungu Indonesia (Gerkatin) telah meminta pemerintah untuk mengakui Bisindo sebagai bahasa pengantar resmi di Sekolah Luar Biasa namun upaya ini hingga kini belum berhasil. Upaya lain yang dilakukan Gerkatin adalah memberikan kelas pelatihan Bisindo bagi masyarakat umum membantu meningkatkan aksesibilitas Tuli dengan menambah jumlah penerjemah serta memperluas pemahaman Bisindo di masyarakat luas. Penelitian ini mencoba mendukung upaya tersebut dengan mengembangkan model penerjemah Bisindo yang menerjemahkan gestur bahasa isyarat menjadi teks menggunakan pendekatan machine learning dengan arsitektur Convolutional Neural Network (CNN). Keterbatasan dataset Bisindo diatasi dengan melakukan data augmentation. Performa model mencapai nilai akurasi sebesar 94.38%.

PENDAMPINGAN IMPLEMENTASI TEKNOLOGI UNTUK USAHA PENGANGKUTAN LIMBAH BAHAN BERBAHAYA BERACUN PT. BINA ENVIRO NUSA Susanty, Meredita; Setiawan, Erwin; Irawan, Ade; Fermana, Randi
Jurnal Terapan Abdimas Vol 7, No 2 (2022)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/jta.v7i2.12495

Abstract. The COVID-19 pandemic in 2020 caused an increase in infectious waste from personal protective equipment (PPE) used by the medical team. Infectious waste as hazardous and toxic waste (B3) must be appropriately and correctly handled following applicable laws so that it does not cause soil, water and air pollution. In managing B3 waste, hospitals as waste producers will cooperate with other parties such as B3 waste transport and waste management companies. The increase in the amount of B3 waste that must be transported every two days also increases the volume of work for each party. Monitoring the waste transportation process is critical because several potential problems can occur at this stage. For example, B3 waste disposal is not dumped in proper locations and loss of waste or transportation of waste that does not reach its destination. Various violation cases trigger waste producers to choose established B3 waste carriers rather than the new, small or medium-scale B3 waste carriers. Through this community service activity, Pertamina University collaborates with Small and Medium Enterprises (SMEs) B3 waste carriers in building real-time vehicle location tracking to increase the trust of waste producers toward new SME waste carriers. Thus, it will boost the competitiveness of these SMEs. With this tracking application, waste generators and transporters can check the route taken by transporting vehicles until they arrive at certified waste treatment facilities and monitor vehicle speed so that B3 waste remains safe during the trip. Abstrak. Pandemik COVID-19 di tahun 2020 menyebabkan peningkatan limbah infeksius dari alat perlindungan diri (APD) yang digunakan tim medis. Limbah infeksius termasuk dalam golongan limbah bahan berbahaya dan beracun (B3) yang proses pengelolaannya harus dilakukan dengan baik dan benar sesuai dengan Undang - Undang yang berlaku, agar tidak menimbulkan pencemaran tanah, air, dan udara. Dalam pengelolaan limbah B3, rumah sakit sebagai penghasil limbah akan bekerjasama dengan pihak-pihak lain seperti perusahaan pengangkut dan/atau pengelola limbah B3. Peningkatan jumlah limbah B3 yang harus diangkut setiap dua hari sekali juga menambah volume pekerjaan setiap pihak. Monitoring pengangkutan limbah B3 merupakan aktivitas yang sangat penting untuk dilakukan, karena adanya potensi masalah yang dapat terjadi misalnya pembuangan limbah B3 tidak di lokasi yang semestinya, hilangnya limbah atau pengangkutan limbah yang tidak sampai ke tujuan. Berbagai temuan dalam pengangkutan limbah mengakibatkan rendahnya kepercayaan penghasil limbah terhadap pengangkut limbah B3 berskala kecil dan menengah, atau yang relatif baru. Melalui kegiatan pengabdian masyarakat ini, Universitas Pertamina bekerjasama dengan pelaku Usaha Kecil dan Menengah (UKM) pengangkutan limbah B3 membangun aplikasi pelacak keberadaan kendaraan pengangkut, untuk meningkatkan kepercayaan penghasil limbah untuk menggunakan jasa pengangkut limbah berskala kecil dan menengah sehingga meningkatkan daya saing UKM tersebut. Dengan adanya aplikasi pelacakan ini, pihak penghasil dan pengangkut limbah dapat memeriksa rute yang dilalui kendaraan pengangkut hingga sampai ke tempat pengolahan yang legal, serta memantau kecepatan kendaraan agar limbah B3 tetap aman selama perjalanan.

Implementasi Optical Character Recognition dan Text Similarity untuk Pelaporan Uang Muka Kerja Susanty, Meredita; Megandi, Megandi; Setiawan, Erwin
Jurnal Informatika Universitas Pamulang Vol 9 No 4 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

The request and accountability reporting of cash advances in companies are now widely supported by web-based applications. However, the process of verifying the completeness and consistency of expense receipts against financial reports is still performed manually by financial staff, which is time-consuming. This study aims to implement Optical Character Recognition (OCR) technology to extract text from payment receipts and match it with expenditure items in financial reports. This technology enables the automation of financial verification processes using a text similarity algorithm based on Levenshtein Distance. By implementing this system, the time required for financial report verification can be significantly reduced, allowing staff to focus on more strategic tasks. The system was tested by integrating the Veryfi OCR application with an API-based system to process payment receipts in various formats. The test results indicate that the system successfully identifies and matches transactions with a high accuracy rate. However, further development is needed to incorporate discount and tax calculations from payment receipts.

DEEP LEARNING IMPLEMENTATION FOR EMPLOYEE ATTENDANCE SYSTEM IN UNIVERSITAS PERTAMINA Susanty, Meredita; Sahrul, Sahrul; Setiawan, Erwin; Nugroho, Herminarto
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 11, No 2 (2020): JURNAL SIMETRIS VOLUME 11 NO 2 TAHUN 2020
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v11i2.4605

Attendance recording with RFID tags scan, make human resource (HR) staff’s task more effective and efficient because it is saving time and effort in performing manual recording and recapitulation that must be performed by the HR staff in a company. However, the number of cases where employees forget to bring their identification cards, which has an RFID tag increases the workload of human resource staff. This study proposes a facial recognition prototype as an alternative way to record employee attendance. The model used in this study uses artificial neural networks that have more than one hidden layer and uses a supervised learning approach. The results of the study show that when a high-resolution image provided for the training data, the prototype able to make an accurate prediction. However, some further study is needed before replacing existing attendance recordings with face recognition to address several problems such as distance between camera and object and accessories that affect the essential features in a face like glasses, headscarves, and mask. Further research should find the maximum distance between the object(s) and the camera and the position (angle) of the object towards the camera.

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