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All Journal agriTECH Jurnal Ilmiah Rekayasa Pertanian dan Biosistem SAINS TANAH - Journal of Soil Science and Agroclimatology Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) JURNAL PERTANIAN PRESISI (JOURNAL OF PRECISION AGRICULTURE) Jurnal Pendidikan Teknologi Pertanian Jurnal Pusat Inovasi Masyarakat Journal of Agricultural and Biosystem Engineering Research
Andri Prima Nugroho
Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Education Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Aplikasi Sistem Monitoring Pertumbuhan Tanaman Berbasis Web Menggunakan Machine Vision Lilik Sutiarso; Atris Suyantohadi; Dody Kastono; Andri Prima Nugroho
agriTECH Vol 31, No 4 (2011)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.984 KB) | DOI: 10.22146/agritech.9644

Abstract

Nowadays, demand for integrating between information technology (IT) and development of agricultural system isin order to increase the productivity, efficiency and profitability in term of precision agriculture. This matter occurred due to some problems in the field, such as; unintensively monitoring activities for plant during the growing period. One of the alternative solutions to overcome the problem was introducing the machine vision technology in the farming system. The research is actually as a basic research that aims using technology of digital image processing and software of computation (mathematics) to support a function of real-time monitoring system for plant growing. The research mechanism was started from digital image processing by using an image segmentation method that can identify between the main object (plant) and others (soil, weed). Image processing algorithm used excess color method and color normalization to identify plants, to calculate crop area. Otsu method was used to convert it to binary images. The next was to calculate and analyze a percentage of the plant growing, from after planting until harvesting time. The analyzed data were stored as MySQL database format in the web server. Final output of the research was the web based monitoring instruments for plant growing that can be accessed through intranet (local area network) as well as internet technology. From the software testing, monitoring with a machine vision system has a success rate reached 70 % for identifying plants.ABSTRAKTuntutan integrasi teknologi sistem informasi dan sistem pertanian saat ini dimaksudkan guna mendukung efisiensi,produktivitas dan profitabiltas pertanian. Hal tersebut didorong oleh timbulnya permasalahan di lapangan terkait dengan belum optimalnya produktivitas tanaman yang diakibatkan antara lain, kurang intensifnya pemantauan (monitoring) tanaman pada masa pertumbuhan. Salah satu alternatif solusi untuk memperbaiki permasalahan tersebut dengan mengaplikasikan teknologi machine vision. Penelitian yang dilakukan merupakan penelitian dasar yang bertujuan memanfaatkan teknologi pengolahan citra digital dan perangkat lunak komputasi untuk mendukung fungsi monitoring pertumbuhan tanaman secara real-time. Mekanisme penelitian dimulai dengan tahap pengolahan citra digital yang menggunakan metode segmentasi untuk mengenali objek tanaman dengan objek lainnya. Algoritma pengolahan citra menggunakan metode kelebihan hijau dan normalisasi warna, sedangkan untuk menghitung luas tanaman digunakan metode  Otsu  dengan  mengubah  ke  citra  biner. Tahap  berikutnya  menghitung  prosentase  pertumbuhan  tanaman selama proses budidaya sampai dengan panen. Data hasil pencitraan disimpan dalam basisdata MySql. Hasil akhir dari pengolahan data ditampilkan sebagai informasi pertumbuhan tanaman yang ditampilkan di website. Dari hasil pengujian, sistem monitoring dengan machine vision ini memiliki tingkat keberhasilan mencapai 70 % dalam mengenali tanaman.
Keragaan Usaha Pelayanan Jasa Alat Dan Mesin Pertanian (UPJA) dalam Pemanfaatan Alat Mesin Pertanian di Kabupaten Madiun Aninda Ayu Arizka; Andri Prima Nugroho; Muhammad Shohibun Nuha
Jurnal Pendidikan Teknologi Pertanian Vol 8, No 2 (2022): Agustus
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/jptp.v8i2.31203

Abstract

Alat dan mesin pertanian (alsintan) mempunyai peran penting dalam rangka mendukung pemenuhan produksi pertanian. Sebagai salah satu usaha dalam pengaplikasian mekanisasi pertanian dan usaha untuk mempercepat adopsi alsintan, diperlukan dukungan kelembagaan dalam pengelolaannya. Salah satunya yaitu melalui suatu lembaga ekonomi perdesaan yang bergerak di bidang pelayanan jasa alsintan yang dinamakan Usaha Pelayanan Jasa Alsintan (UPJA). Pemerintah pusat saat ini sedang giat melaksanakan program mekanisasi pertanian ke seluruh pelosok tanah air, termasuk Kabupaten Madiun. Tujuan dari penelitian ini adalah untuk mengetahui keragaan UPJA terutama terkait dengan aktivitas pengelolaan dan penggunaan atau pemanfaatan alsintan dalam mendukung kegiatan usaha tani di Kabupaten Madiun. Alsintan yang paling banyak dimiliki oleh UPJA di Kabupaten Madiun adalah Traktor Roda 2 untuk percepatan pengolahan lahan. Dalam introduksi mekanisasi pertanian, UPJA konvensional di wilayah kajian belum cukup bisa berkontribusi. Sehingga diperlukan kerjasama/ keterlibatan lembaga administrasi dan lembaga ekonomi desa lain untuk bekerja bersama dengan UPJA. Setelah dilakukan proses klasifikasi data, dapat ditentukan jenis permasalahan dan pelatihan yang dibutuhkan. Pelatihan yang dibutuhkan berdasar data lapangan adalah pelatihan manajerial dan pelatihan teknis operasional UPJA. Program penguatan kelembagaan akan dilakukan dengan sasaran ketua UPJA dan program penguatan kemampuan teknis yang diberikan untuk operator dan teknisi alsintan tiap UPJA target.
Enabling Precision Agriculture through a Web-Based Fertilization Management System for Nawungan Selopamioro Fruit Orchards Nugroho, Andri Prima; Wijaya, Fauzan Edy; Ngadisih, Ngadisih; Masithoh, Rudiati Evi; Sutiarso , Lilik
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Vol 12 No 2 (2024): Jurnal Ilmiah Rekayasa Pertanian dan Biosistem
Publisher : Fakultas Teknologi Pangan & Agroindustri (Fatepa) Universitas Mataram dan Perhimpunan Teknik Pertanian (PERTETA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jrpb.v12i2.627

Abstract

Precision Agriculture (PA) is an integrated farming system based on information and technology for managing agriculture to identify, analyze, and manage spatial and temporal diversity information in specific locations to obtain optimum and sustainable benefits while minimizing unwanted environmental impacts. Fertilization is one of the crucial phases in agricultural production process considering technical cultivation aspects, costs, and environmental impacts. The current fertilization process at Kebun Buah Nawungan Selopamioro (KBNS) is still conventional, so there is no standard rule in determining the fertilization dose. Therefore, a PA approach is needed to provide suitable fertilizer doses for agricultural production needs. This objective of this study was to develop of a web-based fertilizer management system, integrating with orchard management to enhance accessibility and decision-making. The system calculates fertilizer requirements by analyzing soil nutrient availability (N, P, K), cultivation area, crop type and age, and available fertilizer types. The development followed the waterfall methodology, encompassing stages from requirement analysis to system maintenance.  The outcome is a web application that manages land assets, administrative activities, and fertilizer needs tailored to specific land blocks, crop characteristics, and nutrient inventories. Subsequent validation against field conditions ensures the accuracy of its recommendations. Although comprehensive testing confirmed a 100% success rate in functionality, the system currently operates within a limited scope of variables. Future enhancements are planned to incorporate broader agronomic factors, such as soil pH and texture, to augment the system's precision. Despite its limitations, this system represents a significant technological advance in precision agriculture, promising to improve fertilizer application efficiency and support sustainable farming practices.
Analisis Dinamika Vapor Pressure Deficit pada Lingkungan Mikroklimat Padi Sawah Terbuka Berbasis Smart Automatic Weather Station Tipe Ultrasonik Wiratmoko, Ardan; Nugroho, Andri Prima; Afif, Saifuddin; Arsyad, Fahmi; Ramadhanty, Mutiara Alifia; Sutiarso, Lilik
Journal of Agricultural and Biosystem Engineering Research Vol 6 No 2 (2025): Journal of Agricultural and Biosystem Engineering Research: Regular Issue
Publisher : Program Studi Teknik Pertanian, Fakultas Pertanian, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jaber.2025.6.2.19697

Abstract

Produksi padi sawah terbuka sangat dipengaruhi oleh dinamika mikroklimat yang mempengaruhi proses transpirasi, keseimbangan energi–air kanopi, serta efisiensi penggunaan air tanaman, sehingga analisis Vapor Pressure Deficit (VPD) menjadi aspek kunci dalam pengelolaan irigasi presisi berbasis data. Meskipun teknologi pemantauan mikroklimat berbasis Automatic Weather Station telah berkembang, integrasi pengukuran resolusi temporal tinggi dengan analisis dinamika, hubungan antarvariabel, distribusi harian, serta klasifikasi kondisi atmosfer berbasis clustering VPD pada sistem budidaya padi sawah terbuka masih terbatas. Penelitian ini bertujuan menganalisis dinamika VPD menggunakan Smart Automatic Weather Station tipe ultrasonik melalui karakterisasi parameter mikroklimat, analisis temporal, korelasi linier, visualisasi heatmap, dan pengelompokan kondisi atmosfer. Hasil menunjukkan lingkungan mikroklimat lembap dengan suhu rata-rata 27,19 °C, kelembaban relatif 88,81%, dan VPD rata-rata 0,46 kPa dalam rentang 0,01–1,79 kPa yang didominasi defisit uap rendah hingga sedang. VPD dikendalikan kuat oleh suhu udara (r ≈ 0,96) dan kelembaban relatif (r ≈ −1,00), serta meningkat konsisten pada periode radiasi maksimum harian yang merepresentasikan fase kebutuhan air tanaman tertinggi. Analisis clustering mengidentifikasi dominasi defisit uap rendah (53,67%), diikuti defisit tinggi (28,32%) dan sedang (18,01%), yang menunjukkan variabilitas atmosfer signifikan terhadap dinamika transpirasi dan kebutuhan air tanaman. Hasil penelitian ini menunjukkan bahwa integrasi pemantauan mikroklimat berbasis sensor ultrasonik dengan analisis dinamika dan klasifikasi VPD memberkan indikator operasional baru untuk mendukung irigasi presisi, mitigasi stres atmosfer, serta pengembangan smart farming berbasis data pada budidaya padi sawah terbuka di wilayah tropis.
Penerapan Biodigester Untuk Pengolahan Air Limbah Industri Tapioka Berbasis Pemberdayaan Masyarakat Berkelanjutan di Rumah Produksi Pangan Selopamioro, Yogyakarta Sutiarso, Lilik; Karyadi, Joko Nugroho Wahyu; Masithoh, Rudiati Evi; Ngadisih, Ngadisih; Radi, Radi; Nugroho, Andri Prima; Hajad, Makbul; Zahra, Aryanis Mutia; Lestari, Prieskarinda
Jurnal Pusat Inovasi Masyarakat Vol. 5 No. 1 (2023): April 2023
Publisher : Direktorat Pengembangan Masyarakat Agromaritim, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpim.5.1.43-60

Abstract

Singkong merupakan salah satu komoditas unggulan di Desa Selopamioro, Kecamatan Imogiri, Kabupaten Bantul, Daerah Istimewa Yogyakarta. Produktivitas singkong di Desa Selopamioro cukup tinggi mencapai 2,75 ton/ha dengan luas total lahan 415 ha. Namun, potensi besar komoditas singkong tersebut masih menghadapi berbagai tantangan dari sektor petani, produksi, kualitas, rendahnya harga jual, hingga terbatasnya akses pemasaran. Pengolahan singkong menjadi tepung singkong termodifikasi (modified cassava flour, mocaf) dan olahan pangannya merupakan inovasi yang telah diterapkan di rumah produksi pangan (RPP) Selopamioro untuk meningkatkan nilai tambah singkong dan diversifikasi produknya. RPP Selopamioro juga dikelola bersama oleh kelompok petani. Namun, proses pembuatan mocaf menghasilkan air limbah sehingga menyebabkan permasalahan bau tidak sedap di masyarakat dan mencemari lingkungan karena belum diolah secara tepat. Air limbah mocaf bersifat asam dan tinggi kandungan bahan organik. Kegiatan pemberdayaan masyarakat ini bertujuan untuk mengatasi permasalahan bau akibat air limbah mocaf di masyarakat, penerapan biodigester sebagai teknologi pengolahan limbah berkelanjutan, menjadikan RPP Selopamioro sebagai sentra transfer pengetahuan pengolahan pangan berwawasan lingkungan, implementasi model pemberdayaan masyarakat berkelanjutan. Kegiatan dilaksanakan pada Juli – September 2022 dengan monitoring berkala. Implementasi biodigester mampu mengolah air limbah mocaf dengan persentase penyisihan BOD, COD, TDS, sianida, total amonia masing-masing berkisar 97,47; 96,53; 12,94; 93,75; 97,17%, dan meningkatkan DO hingga 614,29%. Hal ini sekaligus menyelesaikan permasalahan bau tidak sedap karena air limbah mocaf sudah terolah dengan tepat dan tidak ada lagi keluhan dari masyarakat. Hasil pelaksanaan kegiatan juga telah mampu mengimplementasikan model pemberdayaan masyarakat berkelanjutan dan mewujudkan sentra pengolahan produk pangan lokal berwawasan lingkungan.
Design and Implementation of an IoT-Based Irrigation Management System for Alternate Wetting and Drying (AWD) Technique in Rice Cultivation I Nyoman Teguh Yudha Kusuma; I Putu Gede Budisanjaya; Sumiyati Sumiyati; Andri Prima Nugroho; Ni Nyoman Sulastri; I Wayan Tika
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 4 (2025): August 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i4.1256-1267

Abstract

Rice irrigation management is facing considerable challenges, particularly in improving water use efficiency. This study aimed to develop an irrigation management system integrating the Alternate Wetting and Drying (AWD) technique with Internet of Things (IoT) technology. The system was constructed using ESP32 microcontroller, TOF10120 distance sensor for water level monitoring, an SD card module for data logging, 20×4 I2C LCD for real-time display, an optocoupler relay module for system control, and DS3231 real-time clock for timekeeping. Remote monitoring and control were enabled via the Blynk platform. System design was conducted using AutoCAD software, circuit simulations were performed using the Wokwi platform, and field testing was implemented in a rice cultivation area in Tabanan, Bali. Water level measurements were obtained using the TOF10120 sensor, and measurement accuracy was evaluated using MAPE (Mean Absolute Percentage Error). The system operated using a 100 WP solar panel and battery, ensuring sustainable and autonomous functionality. Results demonstrated that the IoT-based AWD irrigation management system successfully automated irrigation scheduling according to crop water requirements, achieving a high accuracy with a MAPE of 3.83%. Integration with the Blynk platform provided real-time monitoring and remote control functionalities, offering farmers an effective and user-friendly tool for optimizing irrigation water management.   Keywords: Alternate Wetting and Drying (AWD), Automatic Irrigation System, Blynk platform, IoT, Irrigation management, Sensor.
Effect of Microclimate Temperature and Relative Humidity on the Postharvest Quality of Coconut Sap and Sugar Sri Rahayoe; Hilda Maya Sintia Dewi; Andri Prima Nugroho; Arifin Dwi Saputro; Ngadisih Ngadisih
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 3 (2025): June 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i3.899-910

Abstract

Coconut sap, increasingly recognized as a functional sweetener, is highly perishable and influenced by environmental conditions during postharvest handling, yet the specific impacts of microclimatic variables such as temperature and relative humidity (RH) on sap and sugar quality remain inadequately studied. This research investigates the effects of RH and temperature on key physicochemical parameters of coconut sap—pH, Brix, and density—and evaluates their influence on coconut sugar quality, focusing on moisture, ash content, and color. Sap was collected biweekly in Central Java over a five-week period and analyzed in conjunction with environmental data recorded using an IoT-based weather station. Increased RH was significantly associated with decreased sap pH (r = –0.482, p = 0.007) and showed a weak negative correlation with Brix. Density remained stable across varying RH levels. Although temperature showed visual trends in sap quality parameters, statistical analysis did not reveal significant correlations, likely due to the narrow temperature range during the observation period. Throughout sugar processing, TSS increased consistently across boiling, saturation, and oversaturation stages. Final sugar blocks maintained stable moisture (6–8%) and ash content (1.8–2.2%), with color variations reflecting Maillard and caramelization reactions. Maintaining RH below 85% is recommended to preserve sap quality and product consistency. Keywords: Coconut sap, Coconut sugar, Postharvest quality, Relative humidity, Temperature.
Comparative Analysis of Traditional and Modern Broiler Farms Using Google Colab t-test and Data Visualization Galuh Adi Insani; Bayu Dwi Apri Nugroho; Ahmad Romadhoni Surya Putra; Andri Prima Nugroho
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.487-498

Abstract

This study aims to compare production performance between modern and traditional broiler farming systems in Indonesia and to evaluate the potential of digital data recording for decision-making support. Despite high feed prices, welfare concerns, and socioeconomic constraints, many farmers utilize modern technology to enhance their efficiency. Due to cost and production, many traditional farmers continue to use traditional farming practices. Production data were collected from modern and traditional farms in Gunungkidul District, Yogyakarta Province. Data were analyzed using Python-based t-tests and correlation heatmaps in the Google Colab environment. Data analysis revealed significant differences (p < 0.01) in feed intake (FI) and performance index (PI), but not in body weight (BW), average daily gain (ADG), or feed conversion ratio (FCR). Traditional and modern farming systems differ in FI and PI. Heatmaps enhance understanding of correlations, revealing a high association between FI, BW, and FCR (r ≥ 0.70), whereas modest relationships exist between FI, BW, and ADG. The results enable farmers to determine whether to enhance elements with moderate and strong correlations or solely those with strong correlations; they also permit the cooperative to assess farmers’ production based on broiler production and management practices.
SIMULASI SISTEM MONITORING LENGAS TANAH BERBASIS ADC DAN KENDALI IRIGASI OTOMATIS MENGGUNAKAN METODE HYSTERESIS UNTUK APLIKASI PERTANIAN PRESISI Ardan Wiratmoko; Andri Prima Nugroho; Murtiningrum; Gigieh Henggar Jaya; Saifuddin Afif; Mukhes Sri Muna; Agapetalia Indriyawati; Lilik Sutiarso
Jurnal Pertanian Presisi (Journal of Precision Agriculture) Vol. 10 No. 1 (2026)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/jpp.2026.v10i1.259

Abstract

Penelitian ini bertujuan mensimulasikan sistem monitoring lengas tanah berbasis Analog to Digital Converter (ADC) dan kendali irigasi otomatis menggunakan metode hysteresis untuk aplikasi pertanian presisi. Model simulasi dikembangkan secara komputasional menggunakan Python dengan merepresentasikan alur akuisisi sinyal sensor, penambahan noise, pengondisian sinyal menggunakan filter RC low-pass, konversi analog-ke-digital, estimasi Volumetric Water Content (VWC), serta keputusan aktuasi pompa. Sensor lengas tanah dimodelkan menghasilkan tegangan 0,50–2,50 V yang merepresentasikan 0–60% VWC. Hasil simulasi menunjukkan bahwa ADC 12 bit dengan tegangan referensi 3,30 V menghasilkan resolusi 0,8059 mV/count dan estimasi resolusi lengas tanah sebesar 0,0242% VWC/count. Frekuensi sampling 20,00 Hz memenuhi kriteria Nyquist, sedangkan filter RC mampu menurunkan RMSE dari 197,06 mV menjadi 68,18 mV. Kendali hysteresis dengan ambang ON pada VWC<25% dan OFF pada VWC>38% menghasilkan respons pompa yang stabil dengan duty cycle 15,28% selama simulasi 72 jam. Simulasi ini menunjukkan bahwa integrasi ADC, pengondisian sinyal, dan hysteresis berpotensi menjadi dasar pengembangan sistem irigasi presisi berbasis monitoring lengas tanah.
Mounding technique improves physiological performance and yield of oil palm on Spodosols Suwardi, Suwardi; Sutiarso, Lilik; Wirianata, Herry; Nugroho, Andri Prima; Pradiko, Iput; Ginting, Eko Noviandi; Darlan, Nuzul Hijri; Syarovy, Muhdan; Primananda, Septa; Sukarman, Sukarman
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 19, No 2 (2022): December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v19i2.65460

Abstract

Spodosols have been widely used for oil palm plantations, specifically in Kalimantan, Indonesia. However, they are sub-optimal for agriculture due to a lack of water and nutrient-holding capacity and a spodic layer that limits plant root development. Therefore, proper agriculture practices are needed for oil palm to enhance its potential yield. This study aims to determine the effect of the mounding technique on the physiological performance and yield of oil palms in spodosol. The study location was well-managed, with eight blocks of oil palm plantations planted in 2008 on spodosols (Typic Haplohumod) in Central Kalimantan. The mounding technique was applied to four blocks of oil palm planted in 2015, while the remaining four were left without mounding. The parameters observed were soil moisture, transpiration, number of bunches, bunch weight, and yield. The results showed that the average moisture in the mounded soil was 4% greater than the control.  Additionally, the average daily transpiration of oil palm with the mounding was up to 2.30 mm day-1 or three times higher than the control.  The implication was that the average yield of oil palm increased from approximately 1.84 to 3.71 tons ha-1 year-1 compared to no-mounding treatments. Furthermore, the average yield was 19-66% higher than the block without the mounding application.
Co-Authors Afif, Saifuddin Agapetalia Indriyawati Ahmad Romadhoni Surya Putra Aninda Ayu Arizka Ardan Wiratmoko Arifin Dwi Saputro, Arifin Dwi Arsyad, Fahmi Atris Suyantohadi Bambang Purwantana Bayu Dwi Apri Nugroho Dody Kastono Eko Noviandi Ginting, Eko Noviandi Galuh Adi Insani Gigieh Henggar Jaya Hajad, Makbul Hilda Maya Sintia Dewi I Nyoman Teguh Yudha Kusuma I Putu Gede Budisanjaya I Wayan Tika Joko Nugroho Wahyu Karyadi Lilik Sutiarso Lilik Sutiarso Muhammad Shohibun Nuha Muhdan Syarovy Mukhes Sri Muna Murtiningrum Ngadisih Ngadisih Ngadisih Ngadisih Ni Nyoman Sulastri Nuzul Hijri Darlan Pradiko, Iput Prieskarinda Lestari Primananda, Septa Radi Radi Radi Radi Ramadhanty, Mutiara Alifia Rudiati Evi Masithoh Saifuddin Afif Sri Rahayoe Sukarman Sukarman Sumiyati Sumiyati Sutiarso , Lilik Suwardi Suwardi Thanasit Wongsiriamnuay Warit Abi Nurazaq Wijaya, Fauzan Edy Wiratmoko, Ardan Wirianata, Herry Zahra, Aryanis Mutia