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ANALISIS LAJU PERBAIKAN KONDISI KLINIS PASIEN KANKER PAYUDARA MENGGUNAKAN REGRESI ACCELERATED FAILURE TIME WEIBULL (Studi Kasus: RSUD Tugurejo Semarang) Darari Rahma Lalita; Sudarno Sudarno; Sugito Sugito
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 7, No 2 (2019): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (820.915 KB) | DOI: 10.26714/jsunimus.7.2.2019.%p

Abstract

Breast cancer is a disease caused by abnormal growth from the body’s cells that’s turned into cancer cells. It can spread to other parts of the body so that it can lead to death. Breast cancer is the highest prevalence of cancer in Indonesian women as well as in Semarang City.In an effort to reduce mortality from breast cancer, an analysis of breast cancer patients in Tugurejo General Hospital Semarang can be done by knowing the factors that influence the rate of improvement of breast cancer patient’s clinical conditions. Survival analysis is one of the statistical methods that can be used, the method for which the outcome variable ofinterest is time until an event occurs. Based on Weibull distributed survival time, this study uses Weibull Accelerated Failure Time (AFT) regression method. Dependent variables used is length of time treated and the independent variables used are age, body mass index, anemiastatus, type of treatment, and congenital diseases. The results showed the factors that influence that improvement of breast cancer patient’s clinical condition are age, body mass index, anemia status, and type of treatment.  Keywords: Breast Cancer, Improvement of Breast Cancer Patient’s Clinical Condition, Survival Analysis, Weibull Accelerated Failure Time (AFT) Regression
MODEL ANTREAN KONTINU (STUDI KASUS DI GERBANG TOL BANYUMANIK) Sugito Sugito; Alan Prahutama; Rukun Santoso; Jenesia Kusuma Wardhani
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 5, No 2 (2017): Jurnal Statistika
Publisher : Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Muham

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (294.017 KB) | DOI: 10.26714/jsunimus.5.2.2017.%p

Abstract

Mengantri merupakan salah satu fenomena yang sering terjadi dalam kehidupan seharihari. Mengantri juga terjadi di ruas jalan tol terutama pada waktu sibuk. Sistempengumpulan tol elektronik atau Electronic Toll Collection (ETC) merupakan sistemterbaru dari gerbang tol Banyumanik yang mulai beroperasi pada tahun 2014. SebelumETC, pengguna gerbang tol Banyumanik mendapat layanan reguler, yaitu membayarbiaya tol secara tunai. Keuntungan ETC lebih banyak daripada penggunaan gardureguler, namun pengguna ETC masih sedikit dibanding dengan pengguna gardu reguler.Untuk mengetahui efektifitas pelayanan gardu digunakan analisis sistem antrean. Datayang digunakan adalah data waktu kedatangan dan waktu pelayanan kendaraan.Berdasarkan hasil analisis model antrean gardu reguler arah Ungaran-Semarang, modelantrean gardu tol otomatis arah Ungaran-Semarang, model antrean untuk arahSemarang-Ungaran gardu regular, dan model antrean pada gardu otomatis adalah(G/G/3):(GD/∞/∞).  Kata Kunci: Teori antrean, Simulasi antrean, Gardu tol reguler, Gardu tol otomatis.
IDENTIFIKASI MODEL ANTREAN NON-POISSON (Studi Kasus : Bus Nonpatas Antarkota Antarprovinsi (AKAP) dan Antarkota Dalam Provinsi (AKDP) Lajur Barat Terminal Bus Tirtonadi Surakarta) Aselina Pratidina Wrediningsih; Sugito Sugito; Alan Prahutama; Arief Rachman Hakim
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 6, No 2 (2018): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (526.179 KB) | DOI: 10.26714/jsunimus.6.2.2018.%p

Abstract

Transportation is an important factor to improve the economic level of an area. If the transportation does great, the economy will grow up. In case of that, Tirtonadi Bus Station always try to provide optimum services to avoid long queue. Queue system on the west lanes nonpatas bus service of Tirtonadi Bus Station (Solo-Yogyakarta, SoloSemarang, Solo-Purwokerto, Solo-Jakarta, and Jalur Pedesaan) will be analyzed using queueing theory. The main goal of this project is to identify the distribution of the model of Non-Poisson and calculate the size of system performance. Primary dataanalysis is made up of equilibrium sample test (steady state) and tested the distribution of the arrivals number and the bus service’s time. Based on the analysis of queueing process, there are non-Poisson queueing models estimated with Triangular, Beta, Weibull, and the models are (G/M/1) : (GD/∞/∞), (G/LOGN/1) : (GD/∞/∞), (G/M/1) : (GD/∞/∞), (G/BETA/1) : (GD/∞/∞), and (G/M/1) : (GD/∞/∞). The size of systemperformance show that line A (Solo-Yogyakarta) have a higher level of service rush than other service lines.  Keywords : Queue, Queueing System, Queueing Model, non-Poisson, Tirtonadi Bus Station, Arena.
ANALISIS MODEL ANTREAN NON POISSON DAN UKURAN KINERJA SISTEM PELAYANAN MENGGUNAKAN GUI R Luthfi Nashukha Dewi; Sugito Sugito; Alan Prahutama; Mustafid Mustafid; Dwi Ispriyanti Dwi Ispriyanti
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 9, No 1 (2021): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.9.1.2021.28-34

Abstract

The queue process is a process related to the arrival of a customer at a service facility, then waits in line if not yet received service and leaves the service facility after receiving service. The queue occurs because many people need services at the same time and the number of service facilities available is limited. In this case, the arrival pattern follows the Poisson distribution assuming the arrival is random. Departement of Population and Civil Registration in Semarang City (Dispendukcapil) is one of the public service places that often arise in line. Therefore, this system needs to be applied with queue theory. The queue theory was developed to provide a model in determining system performance. The queue model that has been obtained at every counter in  Dispendukcapil is customer service (UNIF/LOGN/1):(GD/∞/∞), legalized (UNIF/LOGN/2):(GD/∞/∞), data changes (UNIF/BETA/1):(GD/∞/∞), birth (UNIF/BETA/2):(GD/∞/∞), death (UNIF/BETA/2):(GD/∞/∞), second quote (UNIF/LOGN/1):(GD/∞/∞), biometric (UNIF/LOGN/2):(GD/∞/∞), resident registration (UNIF/LOGN/2):(GD/∞/∞), electronic ID Card recording (UNIF/GAMM/1):(GD/∞/∞). In measuring the performance of the system obtained through the GUI R. Based on the results obtained, the Dispendukcapil service system is optimal because of the low waiting time.
PENDEKATAN REGRESI LINIER MULTIVARIAT UNTUK PEMODELAN INDEKS PEMBANGUNAN MANUSIA (IPM) DAN PERSENTASE PENDUDUK MISKIN DI JAWA TENGAH Abdul Hoyyi; Diah Safitri; Sugito Sugito; Alan Prahutama
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 6, No 2 (2018): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.622 KB) | DOI: 10.26714/jsunimus.6.2.2018.%p

Abstract

Model regresi multivariat merupakan model regresi yang dibangun dari beberapa variabel independen dan mempunyai variabel dependen lebih dari satu dengan setiap variabel dependen saling berkorelasi. Pada penelitian ini variabel dependennya adalah Indeks Pembangunan Manusia (IPM) dan jumlah penduduk miskin, sedangkan variabel independennya adalah upah minimum regional dan kepadatan penduduk. Data yangdigunakan adalah data sekunder yang diperoleh dari Badan Pusat Statistika (BPS) Propinsi Jawa Tengah. Parameter pada model diestimasi dengan metode kuadrat terkecil. Berdasarkan hasil dan pembahasan, pada taraf signifikansi 5 % diperoleh hasil bahwa  variabel IPM  dan persentase penduduk miskin berdistribusi normal multivariat.Pengujian parameter model diperoleh bahwa koefisien variabel upah minimum regional dan kepadatan penduduk signifikan terhadap model. Pengujian asumsi normalitas, homoskedastisitas dan nonautokorelasi memberikan kesimpulan eror berdistribusi normal multivariate, tidak terjadi autokorelasi dan varian dari eror homogen. Hasil akhir memberikan kesimpulan bahwa variabel upah minimum regional dan kepadatanpenduduk dapat menjelaskan Indeks Pembangunan Manusia dan persentase penduduk miskin sebesar 70,11 %.  Kata kunci : Regresi multivariat, IPM, BPS.
ANALISIS ANTREAN DENGAN SISTEM JUMLAH KEDATANGAN BERDISTRIBUSI BETA, WEIBULL, NORMAL, DAN ERLANG (STUDI KASUS GERBANG TOL MUKTIHARJO) Sugito Sugito; Erna Musri Arlita; Diah Safitri; Abdul Hoyyi; Rita Rachmawati
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 6, No 1 (2018): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (423.239 KB) | DOI: 10.26714/jsunimus.6.1.2018.%p

Abstract

Semarang is the capital city of Central Java Province so that development in Semarang City progressed very rapidly, this requires transportation facilities and infrastructure that good, smoothly and efficiently. One of the important transport infrastructure for Semarang City is a toll road. Muktiharjo toll gate is one of the exiting toll gate in Semarang City. Muktiharjo toll gate provides two types of service namely booths toll booths, a regular and automated toll booths. The existances two types of toll booths that provided the analysis needs to be done, then the line to find out how the system line that is in Muktiharjo toll gate. The research result obtained the model line at the Muktiharjo toll gate  (BETA / G / 3) :( GD / ¥ / ¥) for regular toll road of Surabaya-Semarang direction, (WEIB / G / 1) :( GD / ¥ / ¥) for the Surabaya-Semarang automatic toll booth, (NORM / G / 2) :( GD / ¥ / ¥) for the regular toll road of Semarang-Surabaya and (ERLA / G / 2) :( GD / ¥ / ¥) Semarang-Surabaya automatic toll road. Based on simulation using Arena software, the addition of substations can reduce the waiting time of vehicles in line, while substation reduction can extend the waiting time of vehicles in line.Keyword : Queue theory, Queue simulation, Regular toll gate, Automatic toll gate, Arrival, Service.
PENERAPAN METODE WEIGHTED PRODUCT (WP) DAN ELIMINATION ET CHOIX TRANDUISANT LA REALITÉ (ELECTRE) DENGAN PEMBOBOTAN ENTROPY MENGGUNAKAN GUI MATLAB Eko Adyan Sukanianto; Sugito Sugito; Rita Rahmawati
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 7, No 1 (2019): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.7.1.2019.%p

Abstract

Arena of Valor (AOV) adalah mobile game yang diterbitkan oleh Garena di Indonesia. Lima pemain dari setiap tim masing-masing memilih hero yang akan dimainkan dalam permainan.  Dengan memilih hero terkuat dari masing-masing role dapat memudahkan tim dalam menyusun strategi komposisi hero yang akan dipakai untuk meraih kemenangan. Pembobotan masing-masing kriteria dan pemilihan hero terkuat juga menjadi bahan pertimbangan oleh pihak pengembang untuk melakukan kontrol game agar stabil dan seimbang. Alternatif yang digunakan yaitu hero dari masing-masing role (Tank, Warrior, Assassin, Mage, Archer dan Support), sedangkan kriterianya adalah tingkat efek kemampuan (skill), maksimum HP (Health Points), serangan fisik, pertahanan dari serangan fisik, kecepatan pergerakan dan pemulihan HP setiap 5 detik. Dalam penelitian ini, penulis menggunakan metode WP dan ELECTRE untuk memilih hero terkuat dengan pembobotan metode Entropy. Penelitian ini menghasilkan sebuah GUI Matlab yang dapat digunakan untuk memudahkan komputasi dalam penyeleksian. Hasil dari perhitungan menunjukkan bahwa hero terkuat dalam AOV adalah Grakk (Tank), Astrid (Warrior), Ormarr (Warrior), Murad (Warrior/Assassin), Lauriel (Mage/Assassin), The Joker (Archer) dan Alice (Support). Sedangkan kriteria dengan bobot tertinggi adalah tingkat efek kemampuan.
PENERAPAN REGRESI ZERO-INFLATED GENERALIZED POISSON DAN PENGUJIAN AUTOKORELASI SPASIAL PADA KASUS PENYAKIT FILARIASIS DI JAWA TENGAH Sylvi Natalia P P; Dwi Ispriyanti; Sugito Sugito
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 6, No 1 (2018): Jurnal Statistika
Publisher : Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Muham

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (400.316 KB) | DOI: 10.26714/jsunimus.6.1.2018.%p

Abstract

Filariasis merupakan penyakit yang disebabkan oleh cacing filaria yang dapat menular melalui gigitan nyamuk. Jumlah kasus filariasis di Provinsi Jawa Tengah tahun 2016 berupa data diskrit berdistribusi poisson dengan proporsi data bernilai nol sebesar 60 persen. Banyaknya data yang bernilai nol mengindikasikan adanya overdispersi. Untuk mengatasinya digunakan model regresi Zero-Inflated Generalized Poisson (ZIGP). Penaksiran parameter dilakukan menggunakan metode Maximum Likelihood Estimation dan dalam penyelesaiannya digunakan iterasiNewton Raphson. Regresi Zero-Inflated Generalized Poisson (ZIGP) menghasilkan 3 variabel prediktor yang berpengaruh terhadap jumlah kasus filariasis di Provinsi Jawa Tengah tahun 2016 dengan nilai R2 sebesar 5,37%. Tiga variabel prediktor tersebut yaitu banyaknya penduduk dengan akses terhadap fasilitas sanitasi yang layak, kepadatan penduduk, dan jumlah sarana kesehatan. Untuk mengetahui keterkaitanantar wilayah berdasarkan jumlah kasus filariasis dilakukan pengujian menggunakan Indeks Moran. Hasil pengujian signifikansi terhadap nilai Indeks Moran menyatakan tidak terdapat autokorelasi spasial terhadap jumlah kasus filariasis di Provinsi Jawa Tengah tahun 2016.  Kata kunci : Filariasis, regresi Zero-Inflated Generalized Poisson (ZIGP), Indeks Moran
PENERAPAN TEORI ANTREAN UNTUK ANALISIS KINERJA SISTEM PELAYANAN DI GERBANG TOL GAYAMSARI Yunanur Hanikmah; Sugito Sugito; Mustafid Mustafid
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 7, No 2 (2019): Jurnal Statistika
Publisher : Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Muham

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (704.025 KB) | DOI: 10.26714/jsunimus.7.2.2019.%p

Abstract

Queue theory is a method that can be used to analyze the performance of a service system. This study aims to apply queue theory for analysis system performance’s size at the Gayamsari Toll Gate by using data obtained through observation. Then the analysis step starts with checking the steady state assumption, goodness of fit tests to data, determines thequeue model, simulates the queue model, and calculates system performance’s size. Based on analysis with Arena software, the results of the study obtained queue model with Beta distribution on the number of arrivals and the number of services data. From this model, it can be used to calculate the service system performance’s size at the Gayamsari Toll Gate.The result of this calculation include estimates of the waiting time and the number of vehicles in the system or queue. Beside that based on the result of performance’s size, it can be concluded that the service system at the Gayamsari Toll Gate is in good condition because it’s waiting time is less than half minute. Keywords: Queue, Beta Distribution, Performance’s Size
ANALISIS ANTREAN DAN KINERJA SISTEM PELAYANAN GARDU TOL OTOMATIS GERBANG TOL MUKTIHARJO Erna Fransisca Angela Sihotang; Sugito Sugito; Moch. Abdul Mukid; Alan Prahutama
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 8, No 1 (2020): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (753.046 KB) | DOI: 10.26714/jsunimus.8.1.2020.%p

Abstract

Queue process is a process related to the arrival of customers in a service facility, waiting in line queue if it cannot be served, get service and finally leaves the facility after being served. Research on the queue process can be seen directly through the queue system at the automatic toll booth Muktiharjo. Queue models and their distribution were obtained using the Sigma Magic program. The model of the vehicle queue system at the Muktiharjo Automatic Toll Gate is (GAMM/ GAMM/ 4): (GD/ ∞/ ∞). Based on the values of the queue system performance measures obtained through the MATLAB GUI program as a whole it can be concluded that the queue of vehicles at the Muktiharjo Automatic Toll Gate has a condition where the average number of vehicles estimated in the system every 15 minutes is 25,5646 vehicles. The average number of vehicles in the queue system every 15 minutes is 24,5639 vehicles. The waiting time in the system is estimated to be around 7,99332 seconds. The estimated waiting time in line is around 7,68042 seconds. The queue system has a busy opportunity of 63.2849% and the remaining 36.7106% is a chance the queue system is not busy. The simulation of the vehicle queue system at the Automatic Toll Gate of Muktiharjo Toll Gate by using ARENA is optimal with the number of service points as many as 4 automatic toll booths.
Co-Authors Abdul Hoyyi Abdullah Nur Aziz abdullah nur aziz Abellisa Abellisa Acnes Ratu Dea Adek Cerah Kurnia Azis Adin Ariyanti Dewi Agung - Kusasti Agus Rusgiyono Al Azhar Alan Prahutama Aminuddin Aminuddin Aminuyati Amiruddin Amiruddin Andi Novita Andry Dwira Utama Anggit Ratnakusuma Anggraini Susanti Kusumawardani Anjan Setyo Wahyudi Anna Farida Annisa Annisa Annisa Rifka Alifia Anton Suhartono Aqila Yusriyya Hanun Aref Vai Arham Arham Arief Rachman Hakim Arief Seno Nugroho Arif Widagdo Ariyo Kurniawan Arman Sayuti Arumi Savitri F Aryani Sairun Aryono Rahmad Hakim Aselina Pratidina Wrediningsih Aulia Syafidah Ayuni Ruslina B.Y. Eko Budi Jumpeno Bandhia Ayu Lestari Budi Warsito Cakra Kurniawan Christina Irnani Cut Nila Thasmi Cyntia Surya Utami Darari Rahma Lalita Darmanto Silalahi Darmawi Darmawi Dasrul Dasrul Daulat Saragi Dede Rusmawan Dedi Nugraha Delfiana Anggraini Permatasari Dhiniaty Gularso Di Asih I Maruddani Diah Safitri Dian Febriana Dita Rosita Sari Dita Ruliana Djoko Adi Walujo Dwi Ispriyanti Dwi Ispriyanti Dwi Ispriyanti Dwi Sari Tristiana Eko Adyan Sukanianto Elsa Mariane Ramadani Endra Susila Erna Fransisca Angela Sihotang Erna Musri Arlita Erwin Erwin Esti Pratiwi Etriwati E Fakhrurrazi Fakhrurrazi Farzand Abdullatif Fatkhan Arissetya Fatma Septy Deviana Firda Shintia Dewi Friska Irnas Adiyani Frisyi Alfiah Gholib Gholib Ginta Riady Hamdan Hamdan Hamdani Budiman hartono hartono Hartono Hartono Hartono Hartono Haryanti Novitasari Hasbi Yasin Hayuk Permatasari Ilham Indra Bakti Al-Irsyad Ilhan Samudra Fattah Indah Nurhayati Indrarini D. I. Indria Tsani Hazhiah Ira Susanti Ismail Ismail Issabella Marsasella Christy Jenesia Kusuma Wardhani Joko Sutrisno Julia Kardin Juliani Juliani Kelik Isbiyantoro Khusnul Yeni Widiyanti Kiky Moelviani Kofifah Indar Prawansyah Lailatus Sya’diyah Laily Nadhifah Lenti Agustina Lianasari Tambunan Leny Darlem Luthfi Nashukha Dewi M Daud AK M Nur Salim M. Chairul Amri M. Hasan Mahdi Abrar Mahdi Abrar Martyanto Tedjo Masfuhurrizqi Iman Mekar Sekar Sari Melati Puspa Nur Fadlilah Meliy Marsanda Merynda Indriyani Syafutri Moch. Abdul Mukid Muhammad Al Kholif Muhammad Faizin Muhammad Hambal Muhammad Hanafiah Muhammad Nur Salim Muslim Akmal Mustafid Mustafid Muzammil Muzammil Nabigus Thoriq Harasta Nandita Aprilia Ayu Virnanda Nia Puspita Sari Niha Kamaliya Niken Nindyaiswari Noveda Mulya Wibowo NOVIA RAHMAWATI Nur Paramita Nira Mulyono Nurliana Nurliana NURLIANA NURLIANA Nursihan Nursihan Nurul Trianda Prameswari R. Kusumo Pratiwi Purnama Sari Prizka Rismawati Arum Pujiono Pujiono Pungut Pungut Pungut, Pungut Purina Pakurnia Artiguna Putra Halomoan Siregar Rahmah Merdekawaty Rany Wahyuningtias Ratnawati, Rhenny Razali Daud Razali Razali Restu Dewi Kusumo Astuti Rinidar Rinidar Rintan Aulal Ilmy Rita Rachmawati Rita Rahmawati Rivaldi Luthfi Rizki Aulia Rohiman Rohiman Roslizawaty Roslizawaty Rukun Santoso Rusli Rusli Salsabilah Balqis Sehah Sehah Sigit Puspito Sigma Wahyuni Silvia Rahmawati Simon Petrus Silalahi Siti Aisyah Siti Anisah Siti Azizah Siti Maghfirotin Soimah Siti Ma’rifah Slamet Slamet Slamet Slamet Sofia Cahyatilmasamah Sri Maya Sari Damanik Sri Wahyuni Sudarno Sudarno Suparno Suparno Suparti Suparti Susi Darmayanti Susy Sriwahyuni Sutrasno Sutrasno Swasnita Swasnita Syaiful, Friska Sylvi Natalia P P T. Armansyah TR T. Fadrial Karmil Tarno Tarno Tatik Widiharih Teuku Reza Ferasyi Teuku Reza Ferasyi Teuku Zahrial Helmi Tiani Wahyu Utami Titin Afriana Tongku Nizwan Siregar Triastuti Wuryandari Tristanti Tristanti Ulya Chofifah Ummu Balqis USWATUN HASANAH Vara Tassa Sutari Velly Ika Arfianda P A Vita Dwi Rachmawati Wahyu Wibawa Wayaning Apsari Widodo Soemadi Widya Ayu Yuliana Widya Nanda Wilis Ardiana Pradana Yuciana Wilandari Yudan Hermawan Yunanur Hanikmah Yustina Tri Handayani Yusuf Arifka Rahman Zamroni Zamroni Zaroh Irayani Zuhrawati NA Zulpikar Zulpikar