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Adaptive-Historical Energy-Efficient Temperature Control for Tropical Greenhouses Laumal, Folkes; Suhardiyanto, Herry; Solahudin, Mohamad; Widodo, Slamet
Jurnal Keteknikan Pertanian Vol. 13 No. 1 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.1.55-73

Abstract

Maintaining an optimal microclimate is essential for efficient operation of tropical greenhouses, particularly under fluctuating weather conditions. This study proposes an adaptive energy-efficient model for regulating air temperature in tropical greenhouses using historical climate data. The model optimizes the fan rotation speeds via an inverter to meet the temperature targets while minimizing energy consumption. Key methodologies include climate data analysis, development of a predictive model for indoor air temperature using Artificial Neural Networks, and optimization of fan speed control. The model achieved high predictive accuracy, with an RMSE of 0,02 and an R² of 0,96. The practical implementation demonstrated effective temperature control, with fan speeds ranging between 30 and 40 Hz during cloudy periods and 50 Hz in sunny conditions. Notably, the system reduced electricity consumption by 33,93% during cloudy weather and 18,54% in sunny weather, showing its potential for significant energy savings. This data-driven adaptive model approach is highly suited for tropical greenhouses experiencing dynamic climatic variations and offers a sustainable and efficient solution for greenhouse microclimate management.
Prediction of Phenotypic Parameters of Sugarcane Plants Based on Multispectral Drone Imagery and Machine learning Hasskavendo, Febri; Solahudin, Mohamad; Supriyanto, Supriyanto; Widodo, Slamet
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 4 (2024): December 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i4.1182-1195

Abstract

Measuring phenotypic parameters is important in evaluating the productivity of sugarcane. Existing manual measurements are considered less efficient, so a better alternative method is needed. This research aims to explore the potential of using multispectral drone imagery and machine learning to estimate phenotypic parameters of sugarcane plants that are efficient, accurate, inexpensive, and support sustainable agricultural practices. Spectrum data captured by drones, namely Green, Red, RedEdge and NIR are used as inputs to estimate phenotypic parameters including brix value, number of stands, stem diameter, and plant height. Based on the results of machine learning model development, the ANN algorithm model is most effective in predicting Brix Value with R2 0.74 and RMSE 0.06 and number of stands with R2 0.68 and RMSE 2.13. All models could not predict stem diameter and plant height well. The best model to predict plant height was obtained by RF algorithm with R2 0.53 and RMSE 14.09. SVR algorithm was the best model to predict plant diameter with R2 0.39. and RMSE 0.49. This indicates that the effectiveness of an algorithm depends on the specific parameter being predicted and there is no dominant algorithm for all phenotypic parameters. Keywords: Machine learning, Multispectral drone imagery, Phenotypic parameter, Plant productivity, Sugarcane.
Performance Comparison of Two Portable Near-infrared Devices for Rapid Authentication of Aceh Aromatic Rice ‘Sigupai’ Widodo, Slamet; Masyitah, Masyitah; Purwanto, Yohanes Aris; Njume, Akeme Cyril
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.851-862

Abstract

Sigupai rice, Indonesia local aromatic rice varieties grown in South-West region of Aceh, is highly valued for its fragrance and quality, making it susceptible to adulteration. This study compares the performance of two portable Near-infrared (NIR) devices, SCiO and NeoSpectra, for rapid authentication of Sigupai rice. We evaluated 86 samples for qualitative analysis (i.e. authentic vs adulterated rice) and 44 samples for quantitative analysis (i.e. the level of adulteration). For the qualitative analysis using partial least squares-discriminant analysis (PLS-DA), the best estimation model could differentiate authentic and adulterated samples with an accuracy, sensitivity, specificity, and false positive rates of 89.29%, 92.86%, 85.71% and 14.29% for the NeoSpectra and 97.44%, 100%, 94.87%, and 5.13% for the SCiO, respectively at the validation stage. For quantitative analysis using partial least squares-regression (PLS-R), the best estimation model could estimate the level of adulteration with a coefficient of determination (R²), RMSEP, RPD, and consistency values of 0.92, 1.50%, 5.93 and 100.69% for the NeoSpectra and 0.96, 1.31%, 6.83 and 104.78% for the SCiO. Both portable NIR devices could be used as a rapid analysis tool for the authenticity of Sigupai rice with high accuracy. However, in this study the SCiO device showed a better performance. Keywords: Portable NIR device, Authentication, Aromatic rice, Rapid analysis, Sigupai variety.
Portable Near-Infrared Spectroscopy and Support Vector Regression for Fast Quality Evaluation of Vanilla (Vanilla planifolia) Widyaningrum, Widyaningrum; Purwanto, Yohanes Aris; Widodo, Slamet; Supijatno, Supijatno; Iriani, Evi Savitri
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 2 (2025): April 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i2.515-526

Abstract

Vanilla (Vanilla planifolia) is a high-value agricultural product, with its quality influenced by essential factors such as moisture and vanillin content. Conventional techniques for evaluating these characteristics are inefficient, require sample destruction, and are impractical for swift assessments. This research explores the feasibility of using portable Near-Infrared (NIR) spectroscopy combined with Support Vector Regression (SVR) to enable quick and noninvasive property prediction. Spectral information was obtained from vanilla samples using two portable NIR instruments, SCiO (740–1070 nm) and Neospectra (1350 2550 nm). Preprocessing techniques such as normalization, SNV, MSC, first derivative, first derivative-SNV, and first derivative-MSC were applied. For moisture content prediction, SCiO achieved an R² of 0.768, an RMSE of 4.720%, an RPD of 2.075 and an RER 10.197 using Min-Max normalization, while Neospectra yielded an R² of 0.758, an RMSE of 5.161%, an RPD of 2.033 and an RER 9.325 with MSC preprocessing. In contrast, predicting vanillin concentration proved more challenging, with SCiO achieving moderate accuracy with an R² 0.406, an RMSE 0.379%, an RPD 1.297, an RER 5.039, and Neospectra demonstrating limited performance with an R² 0.172, an RMSE 0.576%, an RPD 1.098 and an RER 3.315. These findings highlight the potential of portable NIR spectroscopy as a practical tool for assessing vanilla quality, particularly for moisture content, in industrial and field applications. Keywords: Moisture content, Portable NIR spectroscopy, Support vector regression, Vanilla planifolia, Vanillin content.
Fluorescence Imaging as a Non-Destructive Method for Aflatoxin Detection in Corn Kernels: Recent Advances and Challenges Nofiyanti, Sri Handayani; Ahmad, Usman; Tondok, Efi Toding; Widodo, Slamet
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 2 (2025): April 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i2.714-731

Abstract

Fluorescence imaging has developed as a promising non-invasive method for identifying aflatoxin contamination in agricultural commodities, especially corn kernels. This paper examines current improvements in fluorescence imaging technologies, highlighting its potential to improve food safety through swift and precise detection of mycotoxins. The paper examines the basics of fluorescence, the necessary setup for optimal imaging, and the issues related to background fluorescence interference, sensitivity, and the construction of calibration models. Although there are some limitations, fluorescence imaging presents considerable advantages, such as cost-efficiency and the capacity to obtain concurrent spectral and spatial data. Proposed future research objectives include the validation of imaging systems using naturally contaminated samples, the optimization of imaging parameters, and the integration of machine learning techniques to enhance data processing. By overcoming existing constraints and utilizing technical progress, fluorescence imaging can serve as an essential instrument in the detection of aflatoxin contamination, hence enhancing food safety. Keywords: Aflatoxin, Detection, Fluorescence imaging, Food safety, Machine learning.
Livelihood Strategies and Adaptation of Sonok Cattle Farmers During the COVID-19 Pandemic Safariyah, Laelatus; Zuhriyah, Amanatuz; Widodo, Slamet
JURNAL ILMIAH PETERNAKAN TERPADU Vol. 12 No. 3 (2024)
Publisher : DEPARTMENT OF ANIMAL HUSBANDRY, FACULTY OF AGRICULTURE, UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jipt.v12i3.p220-235

Abstract

Madura is an area in Indonesia that is well-known for its high cattle population. However, like many other industries, the Sonok cattle business in Madura has been greatly impacted by the COVID-19 pandemic. In order to determine the extent of this impact, as well as the adaptation and livelihood strategies of Sonok cattle farmers, a study was conducted in West Dempo Village, Pasean District, Pamekasan Regency. This village is the center of superior Sonok cattle and the origin of their existence. The study used descriptive statistics as its method and found that the pandemic has caused a decline in the prices of Sonok cattle and lowered the motivation of farmers to buy them. As a result, farmers have had to adapt and reduce costs wherever possible. The access to capital owned by Sonok cattle breeders, however, is relatively good and is used to form a livelihood strategy. These strategies include on-farm strategies, multiple livelihood patterns, and migration. In response to the pandemic, some farmers have also added other farm animals, such as fighting chickens, to their livelihood strategies.
MOTIVASI MASYARAKAT DALAM MEMBUDIDAYAKAN AYAM GAOK DI PULAU POTERAN, KABUPATEN SUMENEP, JAWA TIMUR Wulandari, Anggi Dwi; Zuhriyah, Amanatuz; Widodo, Slamet
Jurnal Ilmu Ilmu Agribisnis: Journal of Agribusiness Science Vol. 13 No. 1 (2025)
Publisher : Lampung University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jiia.v13i1.8652

Abstract

One of the native chicken breeds in Indonesia with the potential for broiler development is the gaok chicken, originating from Poteran Island, Sumenep Regency, East Java. This research aims to understand the motivations of the community in breeding native chickens. The study was conducted in three villages on Poteran Island, Sumenep Regency, namely Palasa Village, Gapurana Village, and Essang Village. The selection of these locations was based on the origin of the native chicken, Poteran Island, which is administratively situated in Talango District, Sumenep Regency, East Java. A sample of 30 respondents was determined using the snowball sampling technique. The research was conducted from September 2023 to February 2024. Data collection was carried out through structured interviews employing a questionnaire. Motivation in this research was assessed through three aspects: existence needs, relatedness needs, and growth needs. Measurement utilized Likert scales and was analyzed descriptively. The study's findings indicate that the level of motivation among the community to breed native chickens mostly falls into the low category. Keywords: existence needs, growth needs, motivation, native chicken, relatedness needs
ANALYSIS OF VITAMIN D LEVELS & COMPLETENESS OF COVID-19 VACCINE WITH RECURRENT COVID-19 INFECTIONS: Hubungan Kadar Vitamin D dan Kelengkapan Vaksin COVID-19 dengan Kejadian Infeksi COVID-19 Berulang pada Dosen Universitas Malahayati Nurjanah, Siti; Hermawan, Dessy; Aryastuti, Nurul; Muhani, Nova; Furqoni, Prima Dian; Sary, Lolita; Widodo, Slamet
Amerta Nutrition Vol. 8 No. 1 (2024): AMERTA NUTRITION (Bilingual Edition)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/amnt.v8i1.2024.33-39

Abstract

Background: There is a continued increase in the fatality rate of COVID-19 pandemic despite the apparent containment of the virus. In September 2022, the death toll from this disease has exceeded 150 thousand individuals. Furthermore, Vitamin D has been observed for its correlation with the immune system. Objectives: This study aimed to analyze correlation between blood vitamin D levels, completeness of COVID-19 vaccine, and compliance with health protocols for recurrent infection. Methods: This analytical observational study with a cross-sectional method examined correlation between blood vitamin D levels, vaccine completeness status, as well as compliance with health protocols, age, and gender. The population consisted of 62 lecturers at Malahayati University, Bandar Lampung, who were willing to volunteer as subjects. The method used was non-probability sampling and the inclusion criteria were individuals infected with COVID-19 in 2022, resulting in 47 samples. The collected data was analyzed using the chi-square test and logistic regression test. Results: The results showed that there was a significant correlation between the completeness status of COVID-19 vaccine (p-value=0.001) with an OR of 8.24 and 8.47, as well as low levels of vitamin D in the blood (p-value=0.007) and recurrent infection. Conclusions: The possibility of recurrent COVID-19 infection was increased when there were lower levels of vitamin D in the bloodstream and a less comprehensive response to vaccine.
RANCANG BANGUN SISTEM GERAK DAN PENGHINDAR HALANGAN ROBOT PEMBERSIH LANTAI Widodo, Slamet; Sutisna, setya Permana; Waluyo, Roy
ALMIKANIKA Vol 3 No 3 (2021): Juli
Publisher : UNIVERSITAS IBN KHALDUN BOGOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/almikanika.v3i3.6714

Abstract

ABSTRAK Penelitian ini memanfaatkan robot sebagai alat bantu rumah tangga dengan pengaplikasian sebagai robot pembersihan lantai. Berfungsi untuk membersihakan lantai dengan sistem gerak secara otomatis. Robot yang menggunakan sensor ultrasonik HCR-01 sebagai pendeteksi halangan serta arduino mega sebagai mikrokontroler utamanya. Sensor akan mendeteksi level jarak halangan yang nantinya akan dikirim ke arduino mega. Setelah ardiuno mega mendapat masukan dari sensor ultrasonik, kemudian memberikan output kepada motor driver L298N yang selanjutnya memberikan perintah kepada motor DC dan roda untuk bergerak atau berhenti berdasarkan jarak yang dideteksi pada sensor ultrasonik.satu sensor ditempatkan di atas robot yang digabungkan dengan motor servo, motor servo yang dapat berputar sehingga dapat mengarahkan sensor ultrasonik dapat membaca area depan, kanan dan kiri pada robot. Robot bergerak ke arah depan hingga menemui halangan yang kemudian akan belok ke kiri untuk menghindari halangan dan berjalan maju. Tiga sensor pada bagian menghadap bawah untuk menghindari lubang saat robot berjalan. Hasil pengamatan menunjukkan bahwa robot bergerak secar otomatis dan dapat menghindari halangan pada area berjalannya.Kata kunci :  arduino mega, mikrokontroler, robot, sensor ultrasonik  ABSTRACT This study utilizes robots as household aids with application as floor cleaning robots. Function to clean the floor with a motion system automatically. The robot uses the ultrasonic sensor HCR-01 as an obstacle detector and arduino mega as the main microcontroller. The sensor will detect the level of the obstacle distance which will be sent to arduino mega. After ardiuno mega gets input from the ultrasonic sensor, then gives the output to the L298N motor driver which then gives a command to the DC motor and wheels to move or stop based on the distance detected on the ultrasonic sensor. One sensor is placed on top of the robot that is combined with the servo motor, rotating servo motor so that it can direct the ultrasonic sensor to read the front, right and left areas of the robot. The robot moves forward until it encounters obstacles which will then turn left to avoid obstacles and move forward. Three sensors on the bottom face to avoid holes when the robot is walking. Observations indicate that the robot moves automatically and can avoid obstacles in the walking area.Keywords : arduino mega, microcontroller, robotic, ultrasonic sensor.
Pengaruh Lapisan Kalsium pada Devais Sel Surya Organik Berbasis Bahan Polimer Budiawan, Widhya; Widodo, Slamet
Prosiding Seminar Nasional Teknik Kimia "Kejuangan" 2023: PROSIDING SNTKK 2023
Publisher : Seminar Nasional Teknik Kimia "Kejuangan"

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

Abstract

Organic solar cells (OSC) as an emerging photovoltaics devices have potential clean energy source due to their advantages properties, including low-cost production, light weight, and promising for flexible devices. In this study, we investigated the effect of calcium as buffer layer on top photoactive layer of the polymer based solar cell device. Poly-3-hexylthiophene (P3HT) as donor material combining with phenyl-C61-butyric acid methyl ester (PC61BM) were blended to form bulk heterojunction. Calcium was deposited on top of polymer (P3HT) and fullerene derivative (PC61BM) photoactive layer using thermal evaporation inside ultrahigh vacuum chamber. Calcium was selected as buffer layer because of its low-work -function in order to improve performance of polymer solar cells. Our study presented that calcium buffer layer enhanced the performance of solar cells mainly in open circuit voltage, VOC, (0.45 V to 0.61 V) and fill factor, FF, (44% to 65%), increasing power conversion efficiency (PCE) from 1.79% to 3.79%. This result suggested that the improvement of polymer solar cells performance because of the recombination suppression and more efficient charge transfer in cathode. The energy level alignment and work function properties of calcium form an ideal ohmic contact between the active layer and the cathode, thus ensuring effective electron injection from the active layer to the cathode. We also demonstrated the fabrication of polymer solar cells device under ambient atmosphere. However, the devices fabricated under ambient atmosphere have lower performances than fabricated inside nitrogen filled glovebox, because polymer photoactive material and calcium are easily degraded by moisture.
Co-Authors , Nashrudin Setiawan - Hermawan - Kamarullah - Nurhayati - Ridwan - Sutarno -, Elkanady -, Sugihartono ., Sawaluddin A. Rahman, Rian Hidayat Abda Abda Abizar, Koswari Abu Hasan Abubakar Alwi Abubakar, Endang Achmad, Netto Adam Alamsyah, Juan Adhy Putri Rilianti Adi Wibowo, Nur Afifah, Luthfiyah Afriani, Nur Agrista, Pregi Agus Susanto Ahmad Madaul, Rahful Ahmar, Afdhalul Aji, Dwiki Nusantara Akhmadali . Akhmadali, - Akhmadali, Akhmadali Alam, Risma Alamsyah - Albert, Jhoni Alfianda, - Alfina Maysyurah Alfirahman, Rifki Alfitri Alfitri Alhadhi, M. Habib Husen alhadi, alvia Alparizi, Melki Amalia, Reni Amanatuz Zuhriyah Amanda, Adisa Tria Ami, Hidayati Amir Muhiddin, Amir Amir, Sakinah Ana Habibah Andriani, Nety Andries Lionardo, Andries Andy Alfatih Anggia Dewi, Sapteriawuri Anggraini, Ade Fitra Anom, Antonius Haryo Pungkas Anton Royanto Ahmad Anugerah, M Dias Apriansyah Aprianti, Dwi Wahyuni Aprianti, Endang Apriantoro, Roni APRILIANA, APRILIANA Ardhyantama, Vit Ardyansyah, Surya Argani, Latif Arianto, Yogik Arif Bramantyo, Hutama Arif Bramantyo, Hutama Arif Bramantyo Aris Budiyanto Aris Munandar Ariyani, Aminah Happy Moninthofa Armiwaty, Armiwaty Arum Ratnaningsih Aryani, Sendi Tiyas Aryastuti, Nurul Aski Safarizki, Hendramawat Asnawi, Uray Farizi Aulia, Rizqiandrie Zakie Auliatama, Randy Julianda Ayu Agustin, Wilujeng Baidlowi, Muhammad BAKHRANI RAUF Bani, - Basry, Wahyuddin Berlilana Besse Qurani Betarina , Nurmalia Budi, Setio Budiarti, Ade Tia Bungaalsa, Sirfia Kaulani Busyro, Muhammad Alvin Cahyani, Shofi Yulia Chofiyana, Robbi’ul Dalfian, Dalfian Darmawang, Darmawang Daryoto ., Daryoto Daud, Pamungkas Dealisa, Laora Desembardi, Faried Desembardi, Faried Desembarti, Faried Destiarni, Resti Prastika Dewi ANGGRAENI Dian Farida Asfan Dian, Ansela Brigita Didik Setyo Purwantoro Doewes, Rumi Dussawal , Wahed Dwi Budi Santoso efendi, Usti rustam Efi Toding Tondok Eka Priadi Eka Rahma Sari, Eka Rahma Ekaputri, Seprianti Eko Sediyono Elsa Tri Mukti Elvira Elvira Endang Abubakar Erizal Ermansyah, Derry Erwin Supriadi Eti Sulandari Etty Harya Ningsi Evi Savitri Iriani, Evi Savitri Ezzel, Nevara Meisya Fadhilah Khairani, Fadhilah Fadilah Umar Fadly, Galih Fadzilah, Nur Fajriani, Qonaah Falderika, Falderika Fandy Setyo Utomo Farida, Anif Fatikhunnada, Alvin Fatikhunnada Fauzi, Hafidz N. Febrianti, Nelvita Felderika, Felderika Ferianto, Maidar Ferry Juniardi Festy Ladyani Mustofa Ficayuma, Lina Aris Fiky Y. Suratman Fiona, Febzi Firmanda, Abied Fitri Yanti Fitriani, Lia Firdia Fitriyanto, Azis folkes laumal, folkes Frangky Silitonga Furqoni, Prima Dian Gawarti Gawarti, Gawarti Ghiffari Ramadhan, Aqsal Ginta Perdana, Fakhruddin Goib Wiranto, Goib Gumilar, Rian Doto Gusti Zulkifli Mulki Habiburrahman, - Hadi Riyadi Hadi, Effed Darta Hadwi Widi Sasono, Sindung Haerani Haerani Hakim, Faisal Hananiyah, Hananiyah Handayani, Pretty Ramdhawuri Handayani, Raynanda Hanif, Sayed Muhammad Hardianti, Andi Haris Haris, Haris Haris Nugroho Haryo Triajie, Haryo Hasskavendo, Febri Hayati, Soufiana Heri Azwansyah Heriyadi, - Herlambang Brawijaya Herlambang Saputra Herliza Hermawan, Dessy Herry Suhardiyanto Hery Setijasa, Hery Hesti Wulandari Hidayat Hidayat Hidayat, Nanang Hidayati, Ridha Hifni, Muchammad Hilmi Hilmansyah Hilmi Hilmansyah Hs, Atika Maulidina Hutapea, Sabar Maranatha Ica, Mariani Idhawati Hestiningsih Iffan Maflahah Ikeu Tanziha Indika, Angelia Drata Iqbal Iqbal Irna Triannur Lubis Ishak Hasan Ishaq, Muhammad Maulana Islahuzzaman Nuryadin Islam, Bagas Saiful Isnaini, Ardi Fajar Israk, Galamda Jeanilora, Jeanilora Jemi, Marlianilius Judhi, Julius Juliarsih, Santi Junaidi, Lalu Muhamad Jusman, Ika Kadarini, S. Nurlaily Kadir, Kasdy Kameistu, Ponsianus Kanang S. Hindarto, Kanang Karim, Sugeng A. Karimah, Nur Karnela, Karnela Karomah, Diah Kasyfi, Fathul Qadir Katmoko, Desi Susilo Keswara, Umi Romayati Khafizan, - Khairani, Fadilah Khairul Rizwan, Al Khasanah, Sholikhatun Kholifah, Aisyah Nur Klau, Stevanus Viki Komala Erwan Kristanto, Benny Kuncoro, Ardityo Dwi Kurniati Kurniati Kurniawan, Ardian Kurniawan, Fikar Kurniawan, Yengkie Kurrahman, Taupik Kusman, Asep Kussoy, Steven Kussoy, Steven Daniel La Ibal Laksana, Ryan Dharmawan Lambok Manurung Lasmedi Afuan Lembang Jaya, Muhamad Lestari, Syndi Aprilia Lesyani, Agustinus Hendy Linda, Rizky Fadjar Choirul Liyantono Lolita Sary Lubis, Anwar Lubis, Etrie Septiani LUBIS, IRNA TRIANNUR Lubis, Irna Trianur M. Sobri, Kgs, Ma'arif, Faqih MADE ASTAWAN Malawat, Titi Mara, Muhlasah Novitasari Marchelli, Edni Mardianto Mardiyah Mardiyah Maris Setyo Nugroho Marlena, Leni Marpaung, Zailani Surya Marsudi, - Marwahyudi Marwahyudi Maskatim Masyitah Masyitah Mega Wulandari, Mega Melyng, Navisa Tan Minardi, - Mi’roj, Az-zahratul Mohamad Solahudin Mohammad Khambali, Mohammad Muh. Furqon Hidayatullah Muhammad Afief Mubayyin Muhammad Farid Muhammad Jufri Muhammad Nur Fajar Muhani, Nova Muharrama, A. Firli Augina Muliani Muliani Muliani, Muliani Mumtaz, Putri Yasmin Munazil, Chilmy Murni Murni murni murni Murshal Manaf, Murshal Muslimah, Nadiyah Mustika Tripatmasari Mu’alif, Fazar Nabila, Risma Nahriana Nahriana, Nahriana Najwa, Wulida Arina NANIK PURWANTI Nasution Nasution Natasya, Imellya Neving, Diliardi Ngazizah, Nur Njume, Akeme Cyril Nofiyanti, Sri Handayani Noratama, Gilang Nova Kurniawan Novi Diana Badrut Tamami Novia Suryadwanti Novianto, Verry Nugraha, Nosa Nur Aida, Nur Nur Azizah, Firda Nikmah Nur Ilmi Azisa Nurafrina Siregar Nurbia, Nurbia Nurhayati Nurhayati Nurhayati Nurhijrah Nurhijrah, Nurhijrah Nurkhowati, Nurul Nurmaizar, Siti Nursafitri, Reza Nursyahrifa, Nursyahrifa NY, Erlina Satri Okgarianda, Jimmi Oktaviana, Ananda Rizka Oktomi, Abang Vebri Patrysya, Chelina Putri Perdana , Ryan Permadi, Agung Satriyo Permata, Inonsensia Injilia Intan Pradana, Afanda Satya Prakasa, Aras Teguh Pramesti, Woro Prameswari, M. Mikhus Sammawati Pranata, Harry Mulya Prasetiyo, Agung Rizky Prasetyo, Hendrig Joko Prasetyo, Julyar Pratama , Pranata Yudha Pratama, Nugraha Yuda Pratama, Nurul Hidayah Prayoga, Muhammad Andi Pristianto, Hendrik Pritasari, Laili Pujianto, Julianus Purify, Aura Purwansih, Deta Mardiana Pusaka, Semerdanta Puspita, Anggri Puspita, Windy Eka Putera, Aditya Januar Putra, Mukti Trio Putranto, Muhammad Agung Putri, Asri Mutiara Putu Sudira Qur'ani, Besse Qur’ani , Besse Rachmi, Dewi Rafinzar, Rahmat Rahadi, - Rahayu, Usiyani Rahesta, Nindira Tartila Rahful A. Madaul Rahmah Hidayah, Alisah Rahmansah Rahmi Ariani Salam Rajiv Ramadan, Irvan Ramadhan, Andra Ramadhani, Jiyan Ockta Ramadhoni, Eggy Putra Raniasa Putra RATNAWATI Ratnawati Ratnawati Ratnawati T Rian Histiariani, Aprisa Rilyani, Rilyani Rissa Megavitry Rizal, - Rizal, Ali Syah Rochmad Novian Inderanata Rochmanto, Raditya Artha Rochmatika, Rizkha Romadhon, Akbar Rosita Hermiyati Rosmaniar Gailea Rosmini Maru Roy Waluyo Rudi Sugiono Suyono, Rudi Sugiono Rumakefing, Sadli Ruskamdi S Nurlaily Kadarini S, Pebriyetti S. Suyono, Rudi Safariyah, Laelatus Sahari, Wira SAID . Said Basalim Said Said, Said Saifuddin Sirajuddin Sajali Sakina, Putri Salihin, Sakina Marwa Sam Herodian samudi Samudi Sapta Kunta Purnama Saputra, Andhika Sahid Saputra, Ryan Perdana Saputri, Nining Saputro, Eko Danan Sarfin, Anggie Anjani Sarpawi, - Sarwoko, Iwan Satriyo, Wahyu Sembiring, Rinawati Semil, Nurmah Septhalia, Aisyah Putri Septi Ambar Indraningtia Sukma Setianingrum, Ajeng Sari Setiawan, Wildan Setiawati, Octa Reni Setya Permana Sutisna Setyanto Setyanto Sholahuddin Sigit Mujiharjo, Sigit Sigit Nugroho Silvia, Farah Faiqotus Simamora, Herberto Yeremia Sindung Hadwi Widi Sasono, Sindung Hadwi Widi Sindung HW Sasono, Sindung HW Siti Mayuni Siti Nurjanah Siti Nurlaily Kadarini, Siti Nurlaily Situmorang, Milton Sjahriani, Tessa Slamet Subari Slamet Widodo Sobri, Kgs M. Sobri, Kgs, M. Soenawan, Rapwansoni Soengkono Slamet Widodo, Soengkono Sofitra, M. Sri Ratna Triyasari, Sri Ratna Sriati Sriati Sriati, Sriati Stefanus, Stefanus Sugasta, Hervian Handika Sugiarti, Teti Sugiono, Rudi S Suhardi Suhardi Suhendi Suhendi, Redi Sukariyadi, Teja Insyaf Summiyattinah, - Supardi, Stepanus Supijatno Supratikno, Anang Supratman, Iknatius Eko Supriyanto Supriyanto Supriyono Supriyono Suryani, Pegi Suryosukmono, Gerry Susetyo, Sugeng Susianto, - Sutarno Sutarno Sutiono, Wilis Sutrisna, Dedy SUTRISNO Sutrisno, Ady Suwaryo, Slamet Suyono, Rudi S. Syahnaz, Cindiah Syahputra, Budi Syamsidah, Syamsidah Syamsul Hidayat, Sidiq Syamsuriah T., Ratnawati Tahan Prahara, Tahan Prahara Tajuddin, Tamrin Tamala, Evi Tamaulina Br Sembiring Teguh Pribadi Thamrin, Djuni Thamrin, M.H. Thomas Agung Setyawan, Thomas Agung Titania, Tiara Turrahmi, Aulia Udin Sidik Sidin Ummi Hanifah Marshush Ummi Marshush Usman Ahmad Utama, M Ramadhi Wagiran Wagiran Wahyuningrum, Reni Dyah Waruwu, Ahmad Wati, Erni Sisna Wawan Setiawan Wibowo, Romadhonsyah Putra Widhya Budiawan, Widhya Widiarsa , I Nyoman Gede Widuri, Bunga Widyaningrum Widyaningrum Widyantara, Muhamad Ridwan Wisnujatia, Nugrahini Susantinah Wulandari, Anggi Dwi Yasdin, Yasdin Yoke Lestyowati Yolanda Saraswati, Ni Putu Yon Saputri, Lintang Tiara Yulendasari, Rika Yulianti, Yuni Zaini Zaini Zainudin, - Zaqlul Iqbal