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PERBANDINGAN DAYA ANTARA LAMPU BIASA DENGAN LAMPU TERJADWAL OTOMATIS DI GEDUNG GRIYA LEGITA UNIVERSITAS PERTAMINA Putra, Adam Marsono; Megandi, Megandi; Yasa, Nugi Gahara; Soraya, Shelvy Intan; Sahrul, Sahrul; Susanty, Meredita; Setiawan, Erwin
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 1 (2019): JURNAL SIMETRIS VOLUME 10 NO 1 TAHUN 2019
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.98 KB) | DOI: 10.24176/simet.v10i1.2828

Abstract

Pada artikel ini akan dibahas analisis perbandingan konsumsi listrik dari penggunaan lampu secara manual dan lampu secara terjadwal otomatis. Penggunaan lampu secara manual ialah lampu dinyalakan dan dimatikan menggunakan saklar tanpa adanya batasan waktu, sedangkan penggunaan lampu secara terjadwal otomatis ialah penggunaan lampu yang hanya akan menyala dan mati sesuai dengan jadwal penggunaan ruangan yang terdaftar. Adapun tujuan dari dibuatnya artikel ini adalah untuk mengetahui kelayakan dari metode penggunaan lampu secara terjadwal otomatis dengan menganalisis apakah penggunaan lampu dengan metode tersebut dapat mengurangi konsumsi listrik atau tidak. Metode yang kami gunakan adalah perbandingan kuantitatif, dengan mengumpulkan data yang diperlukan untuk mendapatkan pengeluaran energi listrik untuk penerangan di gedung Griya Legita, kami membandingkan pengeluaran energi listrik ketika penggunaan lampu tidak terjadwal dan ketika penggunaan lampu dibuat terjadwal dengan sistem otomatis sepanjang Januari 2018. Hasil menunjukkan sistem lampu secara terjadwal otomatis memberikan efisiensi bekisar antara 1,5% hingga 94%. Pada bagian akhir dari artikel ini disimpulkan bahwa penggunaan lampu secara terjadwal otomatis dapat mengurangi konsumsi daya listrik di Gedung Griya Legita Universitas Pertamina meski tidak signifikan dikarenakan beberapa asumsi.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (804.83 KB) | DOI: 10.24176/simet.v10i2.3419

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (807.988 KB) | DOI: 10.24176/simet.v10i2.3368

Abstract

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

Abstract

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

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1313.693 KB) | DOI: 10.29122/jtl.v22i1.3247

Abstract

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   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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1313.693 KB) | DOI: 10.29122/jtl.v22i1.3247

Abstract

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   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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (297.999 KB) | DOI: 10.31294/ji.v8i2.10768

Abstract

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  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%.
Adding Psychological Factor in the Model of Electricity Consumption in Office Building Meredita Susanty
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1150.106 KB) | DOI: 10.11591/ijece.v8i6.pp4486-4495

Abstract

Researches indicate that energy behaviour is the key to energy conservation and suggest that comparative feedback on energy usage can generate savings in residential and organizational settings. In implementing comparative feedback in workplace, there are two different ways to disaggregate collective energy consumption and apportion it to building users; individual or group level. This research uses agent-based modelling and simulation to examine the impact of applying different approaches of energy data apportionment to change staff behaviour toward energy consumption reduction. A simulation model of energy consumption in workplace as a base model is a re-implementation and simplification from former research. Several psychological factors and decision-making mechanism are then being added as an extension. The model divides staffs into four energy awareness stereotypes based on motivation level. Sensitivity analysis suggests that motivation is an important factor in changing user‟s behaviour and the experiment results indicates greater potential for energy saving when energy usage is apportioned to group level. The significant difference of energy consumption level makes user with low and medium motivation should become the target of energy reduction campaign.
Analisis Usability Pada Aplikasi Mobile Pemeriksa Kesehatan Mata Adhytia Ihza Mahendra; Meredita Susanty
Jurnal Informatika Vol 8, No 2 (2021): September 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (320.966 KB) | DOI: 10.31294/ji.v8i2.10871

Abstract

Kesehatan mata harus terjaga dengan baik karena peran kedua mata sangat penting bagi kehidupan manusia. Namun tahun 2012 Indonesia memiliki angka gangguan penglihatan yang cukup tinggi sebesar 1,5% dari seluruh penduduk indonesia atau sekitar 3,6 juta jiwa. Pemerintah Indonesia telah menyiapkan sarana dan prasarana pelayanan kesehatan yang baik di puskesmas maupun rumah sakit. Sayangnya, kesadaran masyarakay untuk datang dan memeriksakan matanya di fasilitas kesehatan yang telah ditentukan masih rendah. Meningkatnya pengguna internet dan mobile phone mendorong perkembangan teknologi dan memunculkan inovasi - invasi baru. Salah satunya adalah Aplikasi Mataku, sebuah aplikasi berbasis Android yang membantu untuk melakukan pengecekan dini terhadap berbagai penyakit mata seperti penyakit katarak, pterigium, buta warna, dan miopi. Melalui aplikasi ini ini pengguna juga dapat berkonsultasi dengan dokter spesialis matasecara daring. Untuk menjamin aplikasi dapat dengan mudah digunakan oleh pengguna, perlu dilakukan pengujian usability dengan parameter learnability, efficiency, memorability, errors dan satisfaction. Pengujian ini menggunkan metode usability testing terhadap purwarupa aplikasi. Hasil pengujian ini menunjukkan adanya permasalahan pada salah satu fitur pada aplikasi. Perbaikan desain berdasarkan rekomendasi perbaikan yang diberikan menunjukkan perbaikan pada beberapa parameter namun menimbulkan masalah untuk parameter lain. Hasil penelitian ini diharapkan dapat meningkatkan kualitas aplikasi Mataku sekaligus menjadi contoh kasus bagi pihak lain yang berkecimpung di bidang desain user interface dan user experience.
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 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 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