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All Journal Jurnal Teknologi Dan Industri Pangan Jurnal Pengolahan Hasil Perikanan Indonesia Jurnal Keteknikan Pertanian Jurnal Penelitian Pascapanen Pertanian Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Ilmu Pangan dan Hasil Pertanian Squalen Bulletin of Marine and Fisheries Postharvest and Biotechnology Jurnal Teknologi Pangan dan Hasil Pertanian Indonesian Food Science and TechnologyJournal Jurnal Teknologi & Industri Hasil Pertanian International Journal of Community Service Learning JURNAL PANGAN Indonesian Journal of Halal Research Jurnal Mutu Pangan : Indonesian Journal of Food Quality Canrea Journal: Food Technology, Nutritions, and Culinary Journal CORD Indonesian Journal of Applied Research (IJAR) Open Science and Technology Policy Brief Pertanian, Kelautan, dan Biosains Tropika
Nugraha Edhi Suyatma
Departemen Ilmu Dan Teknologi Pangan, Fakultas Teknologi Pertanian, IPB University, Bogor, Indonesia
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Perubahan Tekstur, Aktivitas Air, dan Sifat Termal Dodol selama Penyimpanan sebagai Pengaruh Proporsi Santan Kelapa dan Suhu Penyimpanan Setiavani, Gusti; Sugiyono, Sugiyono; Suyatma, Nugraha Edhi
Jurnal Teknologi dan Industri Pangan Vol. 35 No. 2 (2024): Jurnal Teknologi dan Industri Pangan
Publisher : Perhimpunan Ahli Teknologi Pangan Indonesia bekerjasama dengan Departemen Ilmu dan Teknologi Pangan, IPB University Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.6066/jtip.2024.35.2.198

Abstract

Dodol is an Indonesia's traditional food made from a certain combination of glutinous rice flour, coconut milk, and palm sugar. Its stability and structure during storage changed greatly due to rheological characteristics, which was dependent on the proportion of raw materials and storage conditions. This study aimed to examine changes in texture (hardness, cohesiveness, springiness, and adhesiveness), water activity, and thermal properties of dodol during storage, as well as the correlation between these parameters. A factorial design was used with two factors (proportion of coconut milk and storage temperatures) and the samples were observed over 15 days. In terms of texture, hardness and adhesiveness rose, while cohesiveness and springiness declined. Such changes were influenced by the two factors studied. Water activity and thermal properties also varied, with enthalpy changes linked to retrogradation, particularly at refrigerator temperatures. A strong correlation was found between enthalpy changes and hardness, but a weak linear correlation between enthalpy and water activity. This study concluded that the proportion of coconut milk and storage temperature became two crucial factors determining the changes in texture, water activity, and thermal properties of dodol during storage.
Antibacterial Activity of Chlorophyta, Phaeophyta, and Rhodophyta Using Various Antibiotics as Positive Controls: A Systematic Review and Meta-Analysis Aisah, Aisah; Suyatma, Nugraha Edhi; Kusumaningrum, Harsi Dewantari
Squalen, Buletin Pascapanen dan Bioteknologi Kelautan dan Perikanan Vol 20, No 1 (2025): May 2025
Publisher : :Agency for Marine and Fisheries Research and Human Resources, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/squalen.917

Abstract

Different species of marine macroalgae have been reported to demonstrate antimicrobial activities against numerous bacteria, with varying results. According to the studies, other antibiotics have been used as positive controls. This study evaluated the effect of crude extracts and sulphated polysaccharides from Chlorophyta, Phaeophyta, and Rhodophyta in inhibiting bacterial growth in terms of the diameter of inhibition zones (DIZ) using a systematic review and meta-analysis approach. A total of 835 data, extracted from 23 selected articles, were analyzed using OpenMeesoftware by comparing the standardized mean difference (SMD) and 95% confidence interval (CI). The largest DIZ that Chlorophyta showed was 35 mm, Phaeophyta was 27.3 mm, and Rhodophyta was 25.66 mm, which was categorized as a very strong activity. The crude extract revealed a better inhibitory activity than the sulphatedpolysaccharides. The overall effect size for crude extracts was with SMD = -1.72 (CI = -1.96 to -1.48, I2 = 84.65%, p 0.000) and for sulphated polysaccharides with SMD = -13.07 (CI = -16.00 to -10.14, I2 = 85.8%, p 0.000), respectively. Subgroup analysis showed that when ciprofloxacin was used, the SMD value was -12.88 (CI = -14.50 to -11.25), whereas if ampicillin was used, the SMD value was 1.81 (CI = 1.27 to 2.35). This study proved that Chlorophyta, Phaeophyta, and Rhodophyta revealed promising antibacterial activities. However, the overall effect size was affectedby the antibiotic used when comparing the SMD of the DIZ using a meta-analysis approach. Other factors, such as extraction methods and bacterial strains that likely affect the overall effect size, are subjected to further analysis in the next study.
Sirup Glukosa Berbasis Enzim dari Mikroba Lokal sebagai Gula Masa Depan Indonesia: Potensi dan Tantangan (Enzyme-Based Glucose Syrup from Local Microbes as Indonesia’s Future Sugar: Potentials and Challenges) Islamy, Agung; Nugraha Edhi, Suyatma; Saraswati; Nanik, Rahmani
JURNAL PANGAN Vol. 33 No. 2 (2024): PANGAN
Publisher : Perum BULOG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33964/jp.v33i2.801

Abstract

Gula sudah menjadi kebutuhan dasar rumah tangga yang tidak dapat terpisahkan dalam kehidupan sehari-hari. Seiring dengan meningkatnya jumlah penduduk Indonesia, maka tingkat kebutuhan akan ketersediaan gula juga mengalami peningkatan yang sangat signifikan. Pemerintah harus serius dalam menanggapi masalah ini dalam jangka panjang, salah satunya melalui pengembangan sirup glukosa berbasis bahan lokal menggunakan enzim dari mikroba lokal. Tujuan dari penelitian ini adalah untuk memperoleh informasi akan potensi sumber daya lokal baik bahan baku dan mikroba lokal dalam pengembangan industri sirup glukosa dan tantangannya di Indonesia menggunakan pendekatan systematic review. Setelah melakukan penelusuran pustaka ternyata ada beberapa komoditas bahan baku dan isolat mikroba lokal yang berpotensi dikembangkan dalam industri sirup glukosa. Bahan baku tersebut seperti jagung, singkong, ubi jalar, talas, sagu dan sorgum. Dengan isolat mikroba yang berpotensi dapat dikembangkan seperti Anoxybacillus flavithermus, Aspergillus flavus, Aspergillus awamori KT-11, Bacillus subtilis dan lain-lain.   Sugar has become a staple household need that is inseparable from daily life. Along with Indonesia’s increasing population, the demand for sugar availability has also increased significantly. The government must seriously address this issue in the long term, one of which is through the development of glucose syrup based on local ingredients using enzymes from local microbes. This study aimed to determine the potential of local resources, both raw materials and local microbes, in the development of the glucose syrup industry and its challenges in Indonesia, using a systematic review approach. After conducting a literature search, several commodities of raw materials and local microbial isolates have the potential to be developed in the glucose syrup industry. These raw materials include corn, cassava, sweet potato, taro, sago and sorghum with potential microbial isolates such as Anoxybacillus flavithermus, Aspergillus flavus, Aspergillus awamori KT-11, Bacillus subtilis and more.
Sistem Pakar Penentuan Penggunaan Bahan Tambahan Pangan untuk Produk Pangan Aritonang, Melva Linda; Seminar, Kudang Boro; Suyatma, Nugraha Edhi; Hermadi, Irman
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 3: Juni 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022923363

Abstract

Keracunan makanan yang terjadi di lingkungan masyarakat salah satu penyebabnya adalah pengunaan bahan tambahan pangan yang tidak sejalan dengan peraturan pemerintah yang berlaku. Bahan Tambahan Pangan adalah bahan yang mempengaruhi sifat atau bentuk pangan dengan cara ditambahkan ke dalam pangan diantaranya antioksidan, pemanis, pengawet, dan pewarna. Alasan pelaku usaha pangan terjadinya keracunan disebabkan kurangnya pengetahuan mengenai bahan tambahan pangan dan pengaruh negatifnya terhadap kesehatan. Berdasarkan hal tersebut untuk menghindari penyalahgunaan bahan tambahan pangan yang tidak tepat maka perlu dibangun sistem pakar berbasis aturan if-then yang mampu memberi informasi penentuan penggunaan yang benar sesuai dengan produk pangan yang diinginkan dengan bantuan seorang ahli di bidang bahan tambahan pangan. Metode yang digunakan adalah pohon keputusan dengan algoritme C5.0 untuk mengklasifikasikan jenis kategori pangan dengan masukan berupa bahan dasar dan cara pengolahan produk pangan. Aturan yang dihasilkan berjumlah 98 aturan pada model pohon keputusan memudahkan pada tahap implementasi sistem. Seleksi fitur dengan information gain menghasilkan bahwa pencampuran merupakan cara pengolahan yang cukup berpengaruh pada model pohon keputusan dengan nilai information gain yang maksimum. Evaluasi kinerja model pohon keputusan menggunakan k-fold cross validation dengan k = 10 dan memiliki akurasi tertinggi pada fold ke 10 sebesar 72.7 %..  Hasil akhir penelitian ini adalah implementasi sistem dalam bentuk website dengan memberikan solusi berupa rekomendasi bahan tambahan pangan dan nilai batas maksimum dalam penggunaannya. AbstractFood poisoning that occurs in the community one of the causes is the use of food additives that are not in line with applicable government regulations. Food Additives are ingredients that affect the nature or form of food by adding them to food including antioxidants, sweeteners, preservatives, and dyes. Reasons for food businesses that cause poisoning are due to lack of knowledge about food additives and their negative effects on health. Based on this, to avoid misuse of food additives that are not proper, it is necessary to build an expert system that can give information on determining the correct use by the desired food products with the help of an expert in the field of food additives. The method used is a decision tree with C5.0 algorithm to classify types of food categories with parameters in the form of basic ingredients and ways of processing food products. Feature selection with information gain results that mixing is a processing method that is quite influential on the decision tree model with maximum information gain value. The performance evaluation of the decision tree model uses k-fold cross validation with k ten and has the highest accuracy in the tenth iteration of 72.7%. The last result of this research is the implementation of the system in the form of a website by providing a solution in the form of food additives and a maximum limit value in its use. 
Urgensi Regulasi Kedaluwarsa Pangan Nasional Mengikuti Mandatory International Regulations Berdasarkan Codex Alimentarius Commission Arpah, Muhammad; Suyatma, Nugraha Edhi; Jayanegara, Anuraga
Policy Brief Pertanian, Kelautan, dan Biosains Tropika Vol 5 No 2 (2023): Policy Brief Pertanian, Kelautan dan Biosains Tropika
Publisher : Direktorat Kajian Strategis dan Reputasi Akademik IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agro-maritim.0502.604-609

Abstract

Regulasi pelabelan kedaluwarsa pangan nasional sangat penting dibuat menjadi lebih dinamis dan tanggap terhadap perubahan regulasi perdagangan internasional. Sampai sekarang, regulasi nasional masih mewajibkan aturan penulisan menggunakan frasa yang seragam “Baik Digunakan Sebelum” disertai pencantuman tanggal, bulan dan tahun kedaluwarsa. Sejak tahun 2018, naskah regulasi Codex Alimentarius Commission (CAC), CXS – 1985 revisi 2018, mewajibkan dua jenis kategori frasa: yang pertama adalah kategori kedaluwarsa best before atau best before end, yang kedua adalah kategori use by atau expiration date. Kedua kategori waktu kedaluwarsa tersebut bersifat mandatory dan telah di terapkan di sebagian besar negara yang menjadi tujuan ekspor seperti negara anggota MEE dan negara-negara di Asia khususnya Jepang dan Korea Selatan. Pemerintah perlu segera mengadopsi aturan pelabelan waktu kedaluwarsa yang baru berdasarkan kedua kategori yang diuraikan dalam CAC- CXS – 1985 revisi 2018 tersebut. Terjemahan yang sebaiknya digunakan pada kategori yang baru use by atau expiration date adalah frasa “Tanggal Kedaluwarsa”.
Karakteristik Fisik Komposit Biopolimer Sebagai Alternatif Gelatin Aprianti, Gustira Endah; Suyatma, Nugraha Edhi; Arpah, Muhammad
Jurnal Ilmu Pangan dan Hasil Pertanian Vol 7, No 1 (2023)
Publisher : Program Studi Teknologi Pangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiphp.v7i1.15427

Abstract

Gelatin memiliki peranan yang sangat penting bagi industri. Pembuatan gelatin menggunakan kulit dan tulang babi atau sapi yang bisa menimbulkan masalah bagi umat islam, hindu, yahudi dan vegetarian. Upaya yang dapat dilakukan mengatasi hal tersebut yaitu dengan mencari bahan baku lain sebagai alternatif gelatin. Tujuan dari penelitian ini untuk mengetahui komposit biopolimer terbaik sebagai alternatif gelatin. Biopolimer yang digunakan adalah kappa karagenan, pati termodifikasi, CMC, dan isolat protein kedelai. Beberapa analisis yang dilakukan diantaranya pembentukan gel, efek pengental, pembentukan film, transparansi gel, sineresis, kelarutan dalam air dingin, dan kekutan gel. Uji statistik yang digunakan yaitu uji Dunnett dengan taraf signifikansi 5%. Hasil yang tidak berbeda nyata dengan gelatin akan dipilih sebagai komposit biopolimer terbaik. Komposit biopolimer terbaik terdiri dari kappa karagenan, pati termodifikasi, dan isolat protein kedelai. Berdasarkan uji kekuatan gel, formula komposit biopolimer yang tidak berbeda nyata dengan gelatin adalah K3I4C0, K3P3I1 dan K3P4I0.
Development of antibacterial dual active food packaging based on super water absorbent and ethanol emitter: Pengembangan kemasan pangan aktif ganda antibakteri berbasis super water absorbent dan etanol emitter Nilatany, Asti; Kusumaningrum, Harsi Dewantari; Suyatma, Nugraha Edhi; Mulyanto, Rizky Nuur Berlianni; Yunus, Ade Lestari; Pratama, Indra Mustika; Sasmita, Hadian Iman; Lukitowati, Fajar; Benita, Ashri Mukti; Syahputra, Akhmad Rasyid; Oktaviani, Oktaviani; Nuryanthi, Nunung
Jurnal Teknologi & Industri Hasil Pertanian Vol. 30 No. 2 (2025): Jurnal Teknologi & Industri Hasil Pertanian
Publisher : Teknologi Hasil Pertanian Fakultas Pertanian Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtihp.v30i2.133-143

Abstract

One way to extend shelf life and maintain the quality of fresh chicken meat is to implement an active packaging system. This research aimed to develop active packaging in the form of pads used in chicken meat with dual functions: Super Water Absorbent (SWA) as an adsorbent system and Ethanol Emitter (EE) as an antibacterial release system. The packaging in this study was first carried out by making SWA/EE with a ratio of 0, 4, and 2 (b/v). Furthermore, SWA/EE granules were inserted into non-woven PP bags to form an adsorbent active packaging pad. The experimental design used was a Randomized Group Design (RGD) with 2 factors, namely SWA/EE pad ratio 0, 4, and 2 (b/v) with non-pad as control and storage time (0, 1, 3, 5, and 7 days). Each treatment was repeated 3 times. The results showed that the SWA/EE ratio 4 (w/v) had better ethanol release and water absorption rate compared to other treatments. SWA/EE treatment with SWA/EE ratio of 4 (b/v) showed a significant difference on the anti-bacterial activity of S. aureus (34.58 mm) and total bacterial growth on storage days 3, 5, and 7, with the lowest value on day 3 (1.52 log CFU/g). SWA/EE treatment did not significantly different on the antibacterial activity of E. coli and total bacterial growth at day 1 storage. Packaging with an SWA-EE ratio of 4 (w/v) has the potential to be a double active packaging that can be used on fresh chicken meat.
An Intelligent Food Recommendation System for Dine-in Customers with Non-Communicable Diseases History Imantho, Harry; Seminar, Kudang Boro; Damayanthi , Evy; Suyatma , Nugraha Edhi; Priandana, Karlisa; Ligar, Bonang Waspadadi; Seminar, Annisa Utami
Jurnal Keteknikan Pertanian Vol. 12 No. 1 (2024): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.012.1.140-152

Abstract

The rising prevalence of diet-related diseases necessitates a focus on individual food selection to enhance nutrition intake and promote overall health. This study introduces a novel food recommender system utilizing artificial intelligence, specifically a genetic algorithm (GA), to intelligently match diverse nutritional needs with available food items. The research incorporates machine learning methodologies, such as collaborative and content-based filtering, to develop a recommendation model. Data from a commercial restaurant, Nutrisurvey, and the Indonesian food composition list inform the nutritional analysis of five menu items. Consumer variability, considering factors like sex, body mass index, medical conditions, and physical activity, are integrated into the GA framework for personalized food pattern matching. The presented results demonstrate the efficacy of the proposed model in offering tailored food recommendations for consumers with non-communicable diseases (NCDs), such as diabetes, hypertension, and heart disease. The multi-objective optimization technique employed in the system ensures a balance between nutritional adequacy and individual preferences. The presented GA-based approach holds promise for promoting healthier food choices tailored to individual needs, contributing to the broader goal of fostering a sustainable and personalized food system.
Formulation and Shelf-Life Estimation of Ready-to-Drink Avocado Coffee Milk and Durian Coffee Milk Products Muhandri, Tjahja; Yufriyana, Nur; Suyatma, Nugraha Edhi; Sugihartini, Rahayu Lestari
Indonesian Journal of Applied Research (IJAR) Vol. 6 No. 2 (2025): Indonesian Journal of Applied Research (IJAR)
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/ijar.v6i2.734

Abstract

Coffee is widely and regularly consumed in Indonesia. The trend towards practical lifestyle has driven the development of ready-to-drink (RTD) coffee products. Avocado and durian are commonly incorporated as additives due to their unique flavor profiles, creamy textures, and potential to enhance the functional properties of coffee-based drinks. This study aimed to identify the optimal formulation of RTD avocado coffee milk and durian coffee milk products based on sensory characteristics and to estimate their shelf life using the direct method. The formulations were developed by varying the fruit purée concentration: 5%, 7.5%, and 10% for avocado coffee milk, and 5%, 10%, and 15% for durian coffee milk. The hedonic rating test revealed that formulations containing 5% avocado purée and 15% durian purée were the most preferred by 50 panelists. These selected formulations were further analyzed to estimate product shelf life at 4°C and 18°C. Quality changes were evaluated through objective parameters (color change [∆E], pH, viscosity, and physical stability) and subjective parameters (color, aroma, and flavor intensities). Products stored at 18°C deteriorated more rapidly and were excluded from further shelf life prediction. The estimated shelf life of avocado coffee milk stored at 4°C was 59 days based on flavor parameter (R² = 0.9338), while durian coffee milk had an estimated shelf life of 61 days based on pH (R² = 0.9305).
Exploring pH-Responsive Color Changes of Anthocyanin Extracts from Four Selected Plants as Potential Natural Food Deterioration Indicators Jusnita, Nina; Sugiyono, Sugiyono; Yuliana, Nancy Dewi; Suyatma, Nugraha Edhi
Indonesian Food Science and Technology Journal Vol. 9 No. 1 (2025): Volume 9 Number 1, December 2025 |IFSTJ|
Publisher : Department of Technology of Agricultural product (THP) Jambi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/ifstj.v9i1.46450

Abstract

Anthocyanins are natural pigments known for their pH sensitivity, resulting in distinct chemical structures and color changes across different pH levels. This study investigated the potential of anthocyanin-rich extracts from four plant sources, namely Antidesma bunius (L.) Spreng fruit extract (AE), Syzygium cumini fruit extract (SE), Hibiscus x archeri Wats. flower extract (HE), and Etlingera hemisphaerica flower extract (EE) as natural indicators for food deterioration. The extracts were evaluated for total anthocyanin content (TAC), antioxidant activity (as DPPH radical scavenging), antibacterial activity (via disk diffusion), and pH sensitivity based on visible color changes across a pH range of 2–12. Among the tested samples, HE exhibited the highest TAC (88.89 ± 1.40 mg C3G/g extract) and antioxidant activity (25.46 ± 1.62 mg AEAC/g extract). HE (50%) demonstrated promising antibacterial inhibition against A. hydrophila, S. typhimurium, and L. monocytogenes, with inhibition zones of 9.07 ± 0.49 mm, 9.04 ± 1.12 mm, and 10.19 ± 0.80 mm, respectively. Moreover, HE demonstrated clear, visually perceptible color transitions across pH levels, supported by variations in ΔE and oHue. The ΔE value increased from 3 at pH 3 to 9.55 at pH 8, while oHue value shifted from 36.63 o to 345.96o. This significant change is linked to the extract’s clear colour transition, which is red at pH 3-6, purple at pH 7, and red-purple at pH 8. These results demonstrate the HE as a promising candidate for pH indicator of food deterioration monitoring, as evidenced by its sensitivity to pH fluctuation among the tested extracts.
Co-Authors Adhitya Yudha Pradhana, Adhitya Yudha Adil Basuki Ahza Afriyanti Afriyanti Aisah Aisah Akhmad Rasyid Syahputra, Akhmad Rasyid Anis Khairunnisa Anuraga Jayanegara Aprianti, Gustira Endah Ara Nugrahayu Nalawati Aritonang, Melva Linda Asti Nilatany, Asti Auliana, Sigit Axiomawan, Firman Yudha BARLINA RINDENGAN, BARLINA Bayu Meindrawan Benita, Ashri Mukti Budi Nurtama Dede Robiatul Adawiyah desi juliani Dhita Sari Dias Indrasti Eko Hari Purnomo Elizabeth, Irma Rosiana Emmy Darmawati Evi Savitri Iriani Evi Savitri Iriani Evi Savitri Iriani Evy Damayanthi Fahim Muchammad Taqi Farha Herzegovina Hadi Kurniawanto Hadian Iman Sasmita, Hadian Iman Harsi D. Kusumaningrum Hendra Adi Prasetia Herza Govina Sobarsa Heti Herawati Hidayati, Nisa Arum Huunaefi, Dase Iman Sabarisman Imantho, Harry Imawati Eka Putri Irma Rosiana Elizabeth Irman Hermadi Islamy, Agung Isnaini Rahmadi Jaka Wijaya Kusuma Jamyang Tashi Wangdi Joko Hermanianto Karlisa Priandana Kelvin Muhammad Akbar Kudang Boro Seminar Ligar, Bonang Waspadadi Linda Trivana, Linda Lukitowati, Fajar Mona Nur Moulia Muhammad Arpah Muhammad Hauzan Arifin Muhammad Rivai Muhammad Sudirman Akili Mulyanto, Rizky Nuur Berlianni Nancy Dewi Yuliana Nancy Dewi Yulliana Nancy Dewy Yuliana Nanik, Rahmani nina Jusnita, nina Novia Nava Nuryanthi, Nunung Oktaviani oktaviani Pratama, Indra Mustika Puspo Edi Giriwono Raafqi Ranasasmita Raafqi Ranasasmita Risma Rahmatunisa Rizal Syarief Rizal Syarief Rizal Syarief S. Joni Munarso Sandi, Olifia Mutiara Sarah Fathia Saraswati Seminar, Annisa Utami Sentani Chasfila setiavani, gusti setiavani, gusti Sri Widowati Sri Yuliani Sugihartini, Rahayu Lestari Sugiyono Sugiyono . Sugiyono . Sugiyono Sugiyono Suhandi Syahnada Jaya Syaifullah Syaifullah, Syahnada Jaya Tien Ruspriatin Muchtadi Tien Ruspriatin Muchtadi Tjahja Muhandri Usman Ahmad Uswatun Hasanah Utama, Rozi Satria Vega Yoesepa Pamela Wardana, Ata Aditya Wardhana, Danu Indra Winiati Pudji Rahayu yermia, yermia yermia Yufriyana, Nur Yuliana, Nancy Dewy Yunus, Ade Lestari