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All Journal Teknotan: Jurnal Industri Teknologi Pertanian TELKOMNIKA (Telecommunication Computing Electronics and Control) Pelita Perkebunan Journal of Innovation and Applied Technology Indonesian Green Technology Journal Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Teknologi Pertanian Jurnal Edukasi dan Penelitian Informatika (JEPIN) agriTECH Indonesian Journal of Science and Technology Jurnal Ilmiah Teknologi Pertanian Agrotechno Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Teknologi Pertanian Andalas Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Journal of Robotics and Control (JRC) Jurnal Mnemonic Indonesian Journal of Electrical Engineering and Computer Science International Journal of Artificial Intelligence and Robotics (IJAIR) El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Abdi Masyarakat Indonesia
Yusuf Hendrawan
Universitas Brawijaya
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Other

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Characterization of Pseudomonas fluorescens polyhydroxyalkanoate produced from molasses as a carbon source Yusuf Hendrawan; Dikianur Alvianto; Sumardi Hadi Sumarlan; Yusuf Wibisono
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 3, No 1 (2020)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2020.003.01

Abstract

Polyhydroxyalkanoate (PHA) is a biopolymer produced by various types of bacteria under conditions of unbalanced growth. One of the bacteria generating PHA is Pseudomonas fluorescens with a carbon source in the form of molasses. This study aimed to determine the effect of molasses concentration and incubation period on biomass and PHA characteristics. This study utilised two factors, such as molasses concentration of 40, 60, 80 g/L, and incubation period for 3, 5, 7 days. The research result indicated the highest biomass yield was obtained from the treatment of 40 g/L molasses concentration and in 7-day incubation period, with dry cell weight values of 1,955 g/L, PHA weight of 0.756 g/L, dry cell yield of 2.036%, and PHA yield of 39.06%, respectively. The visual characteristics of PHA samples were indicated with brownish and granular state, while the melting point and functional groups were identical to pure polyhydroxybutyrate (PHB). The characteristics of the PHB structure obtained from Fourier Transform Infrared Spectroscopy (FTIR) analysis, depicting: C = O esters, CH3, CH2, -C-O-, -C-O-C Polymers, and C-C. The melting point of PHA samples,using Differential Scanning Calorimetry (DSC) analysis, was 166.4 oC and an enthalpy of -13.885 J/g with 9.5% degree of crystallisation.  
Sustainable Production-Inventory Model with Multi-Material, Quality Degradation, and Probabilistic Demand: From Bibliometric Analysis to A Robust Model Dana Marsetiya Utama; Imam Santoso; Yusuf Hendrawan; Wike A. P. Dania
Indonesian Journal of Science and Technology Vol 8, No 2 (2023): (ONLINE FIRST) IJOST: September 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v8i2.54056

Abstract

An adequate sustainable production inventory model is expected to represent complex real-life cases involving fuel, emissions, and electricity costs as well as multi-materials, quality degradation, and probabilistic demand. Therefore, this study was conducted to develop this kind of model to determine the number of raw material shipments (), production cycle time (), and the number of finished goods delivered (n) to maximize the Expected Total Profit (ETP). The proposed model is based on a bibliometric literature analysis of the sustainable production-inventory problem which is visualized using the VOSviewer. Moreover, a sophisticated Harris-Hawks Optimization (HHO) algorithm was proposed to solve the problems identified in the sustainable production inventory model optimization. It is also important to note that three numerical cases were provided to evaluate the performance of the algorithm. The findings showed that the suggested HHO method outperforms the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in maximizing ETP and this means it is better for ETP optimization. It was also discovered from the sensitivity analysis that an increase in the rate of quality degradation (k) led to a reduction in both the ETP and T.
Rancang Bangun Plant Factory untuk Pertumbuhan Tanaman Sawi Hijau (Brassica Rapa var. Parachinensis) dengan Menggunakan Led (Light Emitting Diode) Merah dan Biru Ryan Maulana Abdul Hakim; Yusuf Hendrawan; Musthofa Lutfi
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol 3, No 3 (2015)
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (422.667 KB)

Abstract

Sektor pertanian selama ini telah memberikan sumbangan yang tidak sedikit dalam proses pembangunan nasional. Namun akhir-akhir ini, produktivitas sektor pertanian cenderung terus menurun dikarenakan kegiatan pembangunan yang hanya berorientasikan pada pertumbuhan ekonomi semata. Sistem plant factory merupakan cara baru untuk menumbuhkan tanaman di bawah lingkungan yang terkendali seperti didalam bangunan. Pada penelitian ini, faktor pertumbuhan yang akan digunakan sebagai kontrol adalah cahaya khususnya pencahayaan untuk pertumbuhan tanaman. Penelitian ini menggunakan objek penelitian berupa tanaman sawi hijau (Brassica rapa var. parachinensis) karena tanaman ini mudah di tanam di Indonesia. Penelitian ini mempunyai tujuan untuk mengetahui pengaruh perlakuan cahaya LED merah dan biru, serta perlakuan cahaya fluorescent terhadap pertumbuhan sawi, dan berikutnya untuk mengetahui berapa perbandingan antara  cahaya LED dengan fluorescent untuk mencapai pertumbuhan optimum tanaman sawi pada plant factory. Dalam hal ini, perlakuan dengan fluorescent akan digunakan sebagai variabel kontrol dalam pengamatan. Data yang diukur berupa temperatur udara, intensitas cahaya dan pengukuran fisik tanaman. Metode yang digunakan untuk menganalisa data dari tanaman sawi adalah menggunakan anova satu arah dengan 4 jumlah perlakuan dan 24 hari masa pengamatan.
Moringa leaf chlorophyll content measurement system based on optimized artificial neural network Yusuf Hendrawan; Titon Elang Perkasa; Joko Prasetyo; Dimas Firmanda Al-Riza; Retno Damayanti; Mochamad Bagus Hermanto; Sandra Sandra
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) 6th International Conference on Green Agro-industry and Bioeconomy (ICGAB) July 2022 - Special Issue
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

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

Abstract

This research aimed to measure the chlorophyll content of Moringa leaves using machine vision and an optimized artificial neural network (ANN). A total of 480 images were used, 70% as training data and 30% as validation data. Features extraction was used to extract color and textural features. ANN was used as a modeling method, and the filter method was used as a feature selection method to optimize the best ANN input. Sensitivity analysis was done by varying the attribute evaluator in the filter method, as well as the learning function, the activation function, the learning rate, the momentum, the number of hidden layers, and the number of hidden nodes in the ANN. The best ANN structure was 10 input nodes, 30 nodes in the hidden layer 1, 40 nodes in the hidden layer 2, and 1 output node when using a learning rate of 0.1, a momentum of 0.5, the traincgf learning function, a logsig activation function in the hidden layer, and a tansig activation function in the output layer. The correlation coefficient between predicted and real data in the training process was 0.9792 with the training mean square error (MSE) of 0.0100, and the correlation coefficient of the validation process was 0.9794 with the validation MSE of 0.0099.
EFFECT OF MICROBUBBLES ON THE GROWTH OF MUSTARD PAK CHOI (Brassica rapa L.) IN WICK SYSTEM HYDROPONICS Joko Prasetyo; Fiqi Ibrahim Saqroth; Yusuf Hendrawan
Jurnal Teknologi Pertanian 6th International Conference on Green Agro-industry and Bioeconomy (ICGAB) July 2022 - Special Issue
Publisher : Fakultas Teknologi Pertanian Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (200.674 KB)

Abstract

Mustard pak choi (Brassica rapa L.) is one of the vegetable plants used in the research object. The wick system is a simple hydroponic method that uses a wick as a link between nutrients and the roots of the growing media. With a flat container, the hydroponic system wick will use an aerator to provide oxygen needs. The research purpose is expected to design a hydroponic wick system with the addition of microbubble treatment and to determine the effect of treatment duration and quantity of microbubble technology on the growth of mustard greens, namely the number of leaves, leaf area, wet plant weight, plant root length, and leaf greenness index. Microbubble technology is a device that produces or delivers air bubbles with a diameter of fewer than 200 micrometers in water and provides optimization of the rate and amount of oxygen transfer. Mustard Pak choi will be observed from the number of leaves, leaf area, wet plant weight, plant root length, and leaf greenness index and, compared with control plants, is expected to increase the productivity of mustard Pak choi. The method applied examines the relationship of systematic changes of the independent variables of one or more variables from the experimental group. Data processing used a completely randomized factorial design with five repetitions and two factorials. The first factor was microbubble treatment for 3, 6, and 9 hours, and the second used 1, 2, and 3 diffuser outputs and one without control treatment. The results showed that the effect of time and the number of microbubbles had no significant effect on plant morphology. Still, the application of dissolved oxygen to the microbubbles impacted the growth of mustard Pak choi compared to the control and treatment. The results showed that oxygen causes the breakdown of nutrients that are more easily absorbed and increases plant quality
Teknologi Tepat Guna Pengolahan Sampah pada Kelompok Masyarakat Sekar Mayang Purwosekar Kabupaten Malang Dimas Firmanda Al Riza; Yusuf Hendrawan; Retno Damayanti; Hurriyatul Fitriyah
Jurnal Abdi Masyarakat Indonesia Vol 3 No 4 (2023): JAMSI - Juli 2023
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.856

Abstract

Sampah merupakan salah satu permasalahan yang perlu dikelola, terutama jika terdapat berbagai usaha kecil menengah pada komunitas tersebut. Pengelolaan sampah di daerah Purwosekar, Kabupaten Malang, hanya mengangkut sampah dari rumah ke TPS dan diangkut ke TPA tanpa adanya pengolahan. Hal ini menyebabkan penumpukan sampah dan menganggu lingkungan sekitar. Kelompok masyarakat Sekar Mayang Desa Purwosekar, Kecamatan Tajinan, Kabupaten Malang berinisiatif untuk mengurangi masalah sampah dengan mengolah sampah organik menjadi kompos. Dalam penerapan komposting terdapat beberapa permasalahan pengetahuan dalam pembuatan kompos, belum tersedianya peralatan-peralatan tepat guna yang dapat membantu pra-pengolahan dan pemrosesan sampah dalam proses komposting, serta manajemen pemasaran produk kompos. Oleh karenanya dalam kegiatan Doktor Mengabdi ini kami akan memberikan solusi dengan penerapan teknologi tepat guna untuk membantu pengelolaan sampah dan proses komposting di daerah Purwosekar ini. Program Dokter Mengabdi dilakukan selama Bulan Juni hingga September 2021 melalui implementasi teknologi tepat guna, pelatihan pengolahan kompos, sosialisasi serta pendampingan pemasaran dalam proses pembuatan kompos kepada masyarakat. Kegiatan pengabdian masyarakat dalam menerapkan teknologi tepat guna ini memberikan manfaat dan mempermudah masyarakat Desa Purwosekar dalam pengolahan sampah organik untuk komposting.
Analisis Transformasi Energi Biogas Kotoran Sapi Menjadi Energi Listrik di Kecamatan Bumiaji, Kota Batu Ary Mustofa; Yusuf Hendrawan; Reza Rienaldy Putra
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol 11, No 2 (2023)
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2023.011.02.11

Abstract

Biogas merupakan energi alternatif degradasi produk akhir pencernaan hewan ternak (sapi) dalam keadaan anaerobik oleh bakteri metanogen yang berupa gas metana dan semacamnya. Biogas menjadi salah satu bahan bakar alternatif yang bisa dimanfaatkan menjadi energi listrik dengan memodifikasi sistem karbulasi pada generator motor bakar. Metode yang digunakan yaitu eksperimental, pertama yaitu pengujian prestasi motor bakar dengan metode variasi pengereman poros (prony brake) yaitu 1000 rpm; 1500 rpm; 2000 rpm; 2500 rpm; dan 3000 rpm. Pengujian kedua yaitu pengujian kinerja generator yaitu pada pembebanan listrik 112 watt; 200 watt; 312 watt; 482 watt; dan 570 watt. Nilai torsi dan daya maksimum motor bakar terjadi saat menggunakan bahan bakar biogas pada putaran 2500 rpm yaitu 37.8 Nm dan 3.91 kW jika dibandingkan dengan pertalite sebesar 37.67 Nm dan 3.86 kW. Konsumsi bahan bakar spesifik (SFC) biogas lebih hemat dari pertalite yaitu sebesar 0.000015 kg/kW.s dengan 0.000069 kg/kW.s. Efisiensi termal maksimum menggunakan biogas lebih tinggi daripada pertalite yaitu 36.08% dengan 32.95%. Suhu gas buang dari bahan bakar biogas lebih tinggi dari bahan bakar pertalite. Pada pengujian generator, penggunaan biogas memiliki tingkat efektifitas lebih tinggi dibanding pertalite dan telah memenuhi standar listrik nasional.
Performance Analysis of Extraction Machine Using Ohmic Technology for Producing Anthocyanin Yusron Sugiarto; Khoirul Anam Asy Syukri; Anang Lastriyanto; Yusuf Hendrawan
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol 11, No 2 (2023)
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2023.011.02.03

Abstract

Extraction is one of the important processes for obtaining anthocyanins as natural dyes. The aim of this study is to investigate the performance of the extraction apparatus using ohmic technology to produce anthocyanins. This study used a series of ohmic heating consisting of tubular pipes with a diameter of 6 cm and a length of 5.5 cm with a volume capacity of 100 ml. This extraction machine was completed with two electrodes that each have a thickness of 10 mm. The performance of extraction machines using ohmic technology was analyzed by using various voltages of 20, 30, 40, 50, and 60 Volts/cm. The result showed that the voltage affected the electric current of the machine. The voltage of 60 Volts/cm was able to produce the largest average electric current of 5.28 A with the greatest electric current achievement of up to 6.21 A. The result showed that increasing the voltage during the extraction process reduced the time needed to reach the expected temperature. The fastest time was achieved in the voltage of 60 Volts/cm with an average time of 11.3 seconds. The increased voltage in the extraction treatment also affects the total anthocyanin produced. The highest total anthocyanin was obtained from a voltage gradient of 60 Volts/cm with a value of 288.014 mg/L and a yield of 14.4%.
Klasifikasi Kualitas Teh Hitam Menggunakan Metode Convolutional Neural Network (CNN) Berbasis Citra Digital Aprilia Nur Komariyah; Bagas Rohmatulloh; Yusuf Hendrawan; Sandra Malin Sutan; Dimas Firmanda Al Riza; Mochamad Bagus Hermanto
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Vol 11 No 2 (2023): 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.v11i2.542

Abstract

As a tropical country, the production of black tea in Indonesia is very huge. Because of its quality, black tea in Indonesia has been exported to many countries. To meet the required quality standards, black tea is classified into three grades, we mention it as grade A, grade B, and grade C.  However, the industries have suffered from lack of standard of quality control because they are still using manual methods. The purpose of this study was to classify three quality levels of black tea automatically using a convolutional neural network (CNN) based on deep learning. Two types of pre-trained networks were used in this study such as AlexNet and ResNet50. From the sensitivity analysis results showed very high accuracy in the training and validation process. Three best CNN models i.e AlexNet with Adam solver and learning rate 0.00005; AlexNet with RMSProp solver and learning rate 0.0001; ResNet50 with SGDm solver and learning rate 0.00005 were able to achieve training and validation accuracy up to 100%. The classification accuracy based on results from pre-trained AlexNet with Adam solver can classify Grade B and Grade C perfectly 100% without the slightest error. But, for Grade A the average accuracy was 99,7%. Meanwhile, from the confusion matrix result using AlexNet with RMSProp solver and learning rate 0.0001; ResNet50 with SGDm solver and learning rate 0.00005 can perfectly classified the black tea. From the results, it can be concluded that the CNN model can work effectively to classify black tea.
Performance of low cost sensor temperature logger in double jacket reactor vacuum distillation Djoko Wahyudi; Wignyanto Wignyanto; Yusuf Hendrawan; Nurkholis Hamidi
Indonesian Journal of Electrical Engineering and Computer Science Vol 33, No 3: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v33.i3.pp1424-1435

Abstract

Heat transfer occurs due to the difference in temperature between the system and its surroundings. The effect of temperature can affect various aspects of the refining process, including efficiency, selectivity, reaction kinetics, and the quality of the final product. This study aims to analyze heat transfer in a double-jacket reactor by measuring temperature data taken using a temperature data logger system. Prototype low cost-effective temperature monitoring for double jacket reactor vacuum is this system integrates an Arduino Mega 2560, a type K thermocouple, amplifier MAX 6675 module, and an SD card data logger to measure and record reactor temperature for 30 minutes. The temperature data obtained is used to calculate the heat transfer and analyze the heat transfer characteristics of the reactor. Heat transfer analysis based on measured temperature data is able to provide insight into the characteristics of heat transfer in the observed system and can identify hot spots and heat transfer energy in the system. Thus, the temperature data logger used in the double jacket reactor in the vacuum distillation system can produce accurate data and information, and this system has broad application potential in temperature monitoring in various fields.
Co-Authors A.A. Ketut Agung Cahyawan W AA Sudharmawan, AA Adamsyah Harika Putra Adi Rahmanto Wibowo adiansyah, muhammad Agil Adham Reka Agus Somantri Ahmad Diyanal Arifin Ahmad Muhlisin Al-Riza, Dimas Firmanda Ali Djamhuri Alifah Maulidiyah Alvianto, Dikianur Anang Lastriyanto Anggraini, Firdha Dwi Anggraini, Sabrina Angky Wahyu Putranto Anisah Cahyani Anninatul Fuadah Anung Nugroho Jayalaksono Apriansyah, Reza Aprilia Nur Komariyah Ariefandie Febrianto, Noor Arif Hidayat Arif Wicaksono R.P Arifiandika, Rizal Aris Fanani Ary Musthofa Ahmad Ary Mustofa Ary Mustofa Ahmad Asy Syukri, Khoirul Anam Aulia Meidiati Aziz Fathur R Bagas Rohmatulloh Bambang Dwi Argo Bambang Dwi Argo BAMBANG SUSILO Bambang Susilo Cahyanto, Darmawan Dwi Chatarina Umbul Wahyuni Choirul Umam Christiana Wahyu Citra Puspita Rani Cory Vidiati Dalas Gumelar Dana Marsetya Utama Deivy Amaliya Tipdani Dendy Satyabima Dewi Maya Maharani Dian Aris Setiawan Dimas F Al Riza Dimas Firmanda Al Riza Dimas Firmanda Al Riza Dimas Firmanda Al Riza Dina Wahyu Indriani Dina Wahyu Indriani Djoko Wahyudi Dwi Setiawan Elok Zubaidah Elwin Elwin F Al Riza, Dimas Fatma Ridha Nurlaili Fauzy, Muchammad Fenti Siregar Fiqi Ibrahim Saqroth Firdaus Kurnia Putra Firdha Dwi Anggraini Fitriyah, Hurriyatul Gultom, David Parningotan Gunomo Djojowasito Gunomo Djoyowasito Gunomo Djoyowasito hardiansyah, bagus Hartono, Elvianto Dwi Hendrias Hendrias Hendy Firmanto Herdiansyah, Deni Hilmi, Miftahul Hismarto Bahua Imam Santoso Indah Mustika Sakti Indah Royani Izza, Sylvia Ni’matul Joko Prasetyo Khoirul Anam Asy Syukri Kreative Y.R, Rizka Kristianingsih, Wahyu Kusuma Faisal M La Choviya Hawa Liana, Verianti Litapuspita Rizka Perdana Madaniyyah Mustika Islami, Madaniyyah Mustika Maffudhotul Anna Malin Sutan, Sandra Mardhotillah Mardhotillah Meilani Eka Marantika Merisa Yunita Miftahudin Nawawi Miftahul Hilmi Misnawi Jati Mochamad Bagus Hermanto Moh. Risal Siregar Muchammad Fauzy Muchammad Zakaria, Muchammad Muchnuria Rachmawati Muhamad Amar Nadhif muhamad nur afidin Muhammad Arwani Muhammad Fadhil Muhammad Husain Kamaluddin Muhammad Iqbal Musthofa Lutfi Musthofa Lutfi Mustofa, Ary Mutiara Nisa' Amri Nabila Az-Zalikhah Ilham Nafi’ah, Riris Waladatun Niken Dieni Pramesi Niken Lila Widyawati Nugroho, Hermawan Nur Ida Winni Yosika Nurkholis Hamidi Oktaria Eka Y Omah Rochmah Pratama, Kanda Bagus Puguh Sudarsono Putra, Reza Rienaldy Rachmawati, Muchnuria Rahmatullah, Bagus Retno Damayanti Retno Damayanti Soejoedono Reza Rienaldy Putra Riana, Eki Rico Santoso Rini Yulianingsih Rini Yulianingsih Rochima Nisaa’IL-Firdaus Rohmatulloh, Bagas Ronald Nelson Krakuko Ryan Maulana Abdul Hakim Sadimantara, Muhammad Syukri Saiful Imron Sandra Malin Sutan Sandra Sandra Sandra Sandra Sandra Sandra Shinta Rosalia Dewi Shinta Widaningtyas Shinta Widyaningtyas Simping Yuliatun Siti Mariyah Ulfa Siti Nurhayati Somantri, Agus Sucipto, Sucipto Sukses Agustin Nahmudiyah Sumardi H. S. Sumardi Hadi Sumarlan Sumardi Hadi Sumarlan Sumardi Hadi Sumarlan Sumardi Hadi Sumarlan Supriyanto Supriyanto Supriyanto, Supriyanto Syahriyah, Yayah Titon Elang Perkasa Tunjung Mahatmanto Ubaidillah Ubaidillah Vita Noeravila Putri Wachid Rahmanjaya Wahyu Dhiki Saputro Wahyunanto Agung Nugroho Widaningtyas, Shinta Widyaningtyas, Shinta Wignyanto Wignyanto Wike A. P. Dania Yosua Yosua Yudha Firdaus Baharsyah Yuliatun, Simping Yuni Oktopiyani Yusron Sugiarto Yusuf Wibisono Yuyun Wahyuni Zahrok, Isna Arofatuz