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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) snimed Jurnal Teknoin Media Informatika Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Gaung Informatika Jurnal Informatika CommIT (Communication & Information Technology) Jurnal Teknologi Prosiding SNATIF Jurnal Teknologi Informasi dan Ilmu Komputer Telematika JUITA : Jurnal Informatika Jurnas Nasional Teknologi dan Sistem Informasi Journal of Information Systems Engineering and Business Intelligence AJIE (Asian Journal of Innovation and Entrepreneurship) INFORMAL: Informatics Journal Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Informatika Upgris Sinkron : Jurnal dan Penelitian Teknik Informatika IT JOURNAL RESEARCH AND DEVELOPMENT INOVTEK Polbeng - Seri Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI KACANEGARA Jurnal Pengabdian pada Masyarakat Jiko (Jurnal Informatika dan komputer) ComTech: Computer, Mathematics and Engineering Applications JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik Journal of Appropriate Technology for Community Services Refleksi Pembelajaran Inovatif Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Indonesian Journal of Electrical Engineering and Computer Science Computer Science and Information Technologies JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Ekonomi dan Teknik Informatika Applied Research in Science and Technology Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi
Sri Kusumadewi
Jurusan Teknik Informatika Universitas Islam Indonesia Jl. Kaliurang Km 14,5 Yogyakarta
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Analysis of telehealth acceptance for basic life support training in sudden cardiac arrest in Pontianak Iswara, Ruhil; Kusumadewi, Sri; Kurniawan, Rahadian
Computer Science and Information Technologies Vol 6, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v6i1.p48-57

Abstract

Sudden cardiac arrest (SDA), which is one of the most prevalent causes of mortality, can be prevented by quickly conducting basic life support (BLS). In Pontianak City, the challenges associated with obtaining emergency health training, such as BLS, remain high. This study aims to evaluate user acceptance of telehealth as well as its effectiveness in BLS training. We will also discuss its impact on community knowledge and skills in managing cardiac arrest. We used the HOT-Fit method to analyze the level of acceptance of telehealth in BLS training. We collected data from 60 respondents who underwent telehealth-based BLS training. The results showed that participants' understanding and readiness in dealing with heart attack emergencies had increased significantly, by 90% and 92%, respectively. Analysis of the level of acceptance with HOT-Fit showed that system quality had the greatest influence on system use (0.611). Service quality exerted the most significant impact on user satisfaction (0.568). The net benefit was influenced by system use, user satisfaction, and organizational support, with user satisfaction having the greatest influence (0.600). Further research will be conducted on the utilization of augmented reality (AR) or virtual reality (VR) technology to implement telehealth for BLS training.
ElderCare Monitor Application Design: Elderly Health Monitoring based on Family and Community Health Center Collaboration Tanti, Wa Ode; Kusumadewi, Sri; Kurniawan, Rahadian
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 1, March 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i1.24680

Abstract

The elderly are a vulnerable group that is susceptible to various degenerative diseases. The lack of information and understanding of the elderly causes a high rate of disease complications. This study aims to design an ElderCare Monitor application that is easy to use and tailored to the needs of users. The application caters to a variety of users, including elderly families, the elderly themselves, the pre-elderly, and health center officers. Health workers at the health center and the elderly's family collaborate to independently monitor the health of the elderly and pre-elderly. The system is designed using the design thinking method. The design thinking method involves five stages: empathy, define, ideate, prototyping, and testing. The results of the study showed an effectiveness rate of 95.24% for the elderly and families and 95.83% for health center officers. The average SUS score for families and the elderly was 74.17, while for medical personnel, it was 77.5. Therefore, the ElderCare application received the "Good" usability category. This study contains numerous components that may serve as encouragement. In particular, it is imperative that we consistently improve the UI/UX of ElderCare by routinely gathering user feedback and incorporating features that can more effectively support the elderly.
Desain Ulang Website Lumiere Menggunakan Metode User Centered Design (UCD) Alatas, Alwi Achmad; Kusumadewi, Sri
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 4 No. 2 (2025)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v4.i2.40640

Abstract

Website Lumiere merupakan media digital milik perusahaan Majapahit yang bergerak di bidang jasa pembuatan media periklanan. Seiring berkembangnya tren, desain antarmuka website yang ada dinilai sudah tidak relevan, sehingga perlu dilakukan perancangan ulang. Penelitian ini bertujuan untuk merancang ulang UI/UX pada website Lumiere menggunakan pendekatan User Centered Design (UCD) yang berfokus pada kebutuhan dan pengalaman pengguna. Metode UCD diterapkan melalui lima tahapan: pengumpulan data, pembuatan konsep desain, implementasi wireframe, pengembangan prototype, dan pengujian. Evaluasi usability dilakukan menggunakan kuesioner System Usability Scale (SUS) sebelum dan sesudah perancangan ulang. Hasil pengujian kuantitatif menunjukkan peningkatan skor usability yang signifikan. Skor SUS rata-rata meningkat dari 37,98 (kategori 'Awful') pada desain awal menjadi 73,17 (kategori 'Good') pada desain baru, yang merepresentasikan kenaikan kepuasan pengguna sebesar 92,65%. Peningkatan drastis ini mengonfirmasi bahwa keterlibatan pengguna melalui setiap tahapan UCD merupakan faktor kunci dalam menciptakan desain yang optimal. Dengan demikian, penelitian ini membuktikan bahwa metode UCD secara efektif mampu meningkatkan kualitas pengalaman pengguna secara terukur dan direkomendasikan sebagai pendekatan utama dalam proyek pengembangan produk digital serupa.
A Hybrid SOAR-BSC-AHP Framework for Strategy Selection in Digital Cultural Tourism Kurniawan, Rahadian; Kusumadewi, Sri; Sujarwo, Ari
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4886

Abstract

Digital transformation in cultural tourism presents significant challenges, particularly in heritage villages like Kotagede, Yogyakarta. Problems such as limited infrastructure, low digital literacy, and the absence of a structured planning framework hinder progress toward community-based sustainable tourism development. This study addresses these challenges by proposing an integrated decision-making framework that combines SOAR analysis, the Balanced Scorecard (BSC), and the Analytic Hierarchy Process (AHP). The SOAR-BSC framework captures strategic objectives from qualitative data through focus group discussions and stakeholder interviews, while the AHP quantitatively prioritizes eight strategic alternatives based on hierarchical criteria and subcriteria. The most impactful strategies identified were: (1) developing partnerships with tour operators, and (2) promoting community cultural education and training. The Learning and Growth Perspective emerged as the most influential factor (weight = 0.5549), highlighting the importance of community empowerment and digital skills development. Sensitivity analysis and cross-validation using the Simple Additive Weighting (SAW) method confirmed the consistency and robustness of the rankings. In practice, this framework offers a participatory, data-driven guide for digital transformation in heritage tourism, supporting not only improved destination management but also long-term cultural preservation through inclusive digital initiatives.
Pemodelan Text Mining dalam Pengkodean Penyakit Pasien Berdasar Kode ICD 10 Parjono, Parjono; Kusumadewi, Sri
Jurnal Nasional Teknologi dan Sistem Informasi Vol 9 No 2 (2023): Agustus 2023
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v9i2.2023.200-207

Abstract

Pengkodean penyakit yang lazim dilakukan oleh Rumah Sakit adalah menggunakan 2 metode, yang pertama adalah klinisi/ dokter menuliskan numenklatur penyakit berdasarkan kode ICD-10 dengan panduan kamus ICD-10 yang dapat berupa elektronik maupun buku. Metode kedua adalah klinisi/ dokter menulis secara free-text kemudian petugas koding dari rekam medis yang memberikan kode penyakit berdasar kode ICD-10 dan apabila ada hal yang sekiranya diragukan, petugas koding akan mengkonfirmasi ke dokter yang merawat pasien. Dari kebanyakan diagnosis medis yang berupa deskripsi free-text, kemiripan makna serta istilah medis yang memiliki kekhususan daripada istilah umum akan menjadi tantangan tersendiri dalam mengekstrak informasi yang berada di dalamnya. Hal ini yang mendorong penulis untuk membuat pendekatan koding penyakit dengan pememodelkan Text Mining dalam membantu pengkodean penyakit tersebut melalui data diagnosis dokter sehingga diharapkan proses pengkodean penyakit menjadi lebih cepat dan mengurangi aspek human error khususnya untuk penyakit di Indonesia. Metode pendekatan yang diterapkan adalah Clinical Text Mining dengan Natural Language Processing dimana metode ini dirasa paling tepat untuk mengekstraksi informasi dari diagnosis dokter yang tidak terstruktur. Data diambil dari Rumah Sakit bagian poliklinik penyakit dalam sejumlah 3787 data dengan 5 kategori kode ICD 10 yakni E11.9 Type 2 diabetes mellitus without complications, I10 Essential (primary) hypertension, I11.9 Hypertensive heart disease without (congestive) heart failure, K21.9 Gastro-oesophageal reflux disease without oesophagitis, K30 Functional dyspepsia  dengan pembagian komposisi data untuk training dan testing adalah 70:30 proses ekstraksi melalui tahapan case folding, contraction untuk pencocokan dengan kamus singkatan, tokenization, stop word removal dan menggunakan word2vec untuk proses konversi kata yang berupa karakter alphanumeric kedalam bentuk vector dari hasil pemodelan menggunakan Neural Network didapatkan nilai performa model cukup baik yakni memiliki akurasi 86.8%.
Model Sistem Pendukung Keputusan Kelompok untuk Penilaian Gangguan Depresii, Kecemasan dan Stress Berdasarkan DASS-42 Kusumadewi, Sri; Wahyuningsih, Hepi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 2: April 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020721052

Abstract

Depresi, kecemasan dan stress merupakan tiga gangguan yang sering dijumpai di masyarakat. Ketiga gangguan tersebut memiliki gejala yang hampir mirip. Depression, Anxiety and Stress Scales (DASS) merupakan salah satu alat ukur yang dapat digunakan untuk mengukur tingkat keparahan ketiga gangguan tersebut. DASS dengan jumlah item/gejala sebanyak 42 item dikenal dengan nama DASS-42. Alat ukut ini membedakan dengan jelas item/gejala dari setiap gangguan. Setiap gangguan memiliki item yang mempengaruhi sebanyak 14 item. Pada penelitian ini dibangun model Sistem Pendukung Keputusan Kelompok (SPKK) yang memungkinkan para psikolog untuk berkolaborasi memberikan preferensi terkait prioritas gangguan yang akan terjadi apabila diketahui item/gejala tertentu menurut DASS-42. Preferensi diberikan dengan format ordered vectors. Untuk memudahkan proses agregasi/komposisi, selanjutnya dilakukan transformasi preferensi ke relasi preferensi fuzzy. Operator Ordered Weighted Averaging (OWA) digunakan untuk melakukan agregasi peferensi menjadi satu matriks. Proses seleksi alternatif terbaik dilakukan dengan menggunakan Quantifier Guided Dominance Degree (QGDD). Hasil pengujian menunjukkan bahwa ketepatan hasil SPKK terhadap DASS-42 adalah sebesar 71,43% (30 dari 42 item/gejala). Item/gejala yang beririsan secara signifikan antara gangguan kecemasan dan stress sebesar 16,67%. (7 dari 42), antara depresi dan kecemasan sebesar 9,52% (4 dari 42). Secara umum SPKK ini mampu mengakomodasi preferensi para pengambil keputusan dalam memberikan bobot pengaruh. Gangguan kecemasan dan gangguan stress memiliki gejala yang sangat mirip sehingga untuk beberapa item.gejala pada DASS-42 ada perbedaan yang cukup signifikan. AbstractDepression, anxiety and stress are three disorders that are often found in the community. These three disorders have almost identical symptoms. Depression, Anxiety and Stress Scales (DASS) is an psychological instrument that can be used to measure the severity of these disorders. DASS with a total of 42 items known as DASS-42. This instrument distinguishes clearly the symptoms of each disorder. Each disorder has 14 items affect. The three disorders have a number of symptoms that are similar, even a symptom may affect two or three disorders with different levels of influence. In this study, a Group Decision Support System (GDSS) model was developed so that psychologists can collaborate to give preference regarding priority of disorders that would occur if certain items / symptoms were identified by  DASS-42. Preferences are given in ordered vectors format. The preferences given by each decision maker aggregated to get a single preference. These preferences will be transformed to the fuzzy preference relation format. Ordered Weighted Averaging (OWA) operator used to aggregation process for all decision maker preference. The OWA operator are used to aggregate into one matrix. The best alternative selected by using Quantifier Guided Dominance Degree (QGDD). The test results show that the accuracy of the GDSS results on DASS-42 is 71.43% (30 of 42 items / symptoms). Symptoms that overlap significantly between anxiety and stress disorders are 16.67%. (7 of 42), between depression and anxiety by 9.52% (4 of 42). The GDSS is able to accommodate the preferences of decision makers in giving influence weight. Anxiety and stress disorder have very similar symptoms so that for some symptoms in the DASS-42 there are significant differences.
Model Sistem Berbasis Pengetahuan untuk Rekomendasi Aktivitas Pensiun Prasetyo, Dono Catur; Kusumadewi, Sri; Miladiyah, Isnatin
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 5: Oktober 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021854482

Abstract

Masa pensiun adalah masa yang pasti akan menghampiri setiap orang. Bila seseorang memasuki masa pensiun akan terjadi suatu perubahan yang penting dalam perkembangan hidup individu, yang ditandai dengan terjadinya perubahan keadaan seperti kehilangan finansial, kehilangan status, kehilangan teman/kenalan dan yang hilangnya kegiatan kerja yang rutin. Banyak orang yang tidak siap menghadapi pensiun, karena pensiun dianggap sebagai pemutus kegiatan rutin yang dijalananinya selama bertahun-tahun. Representasi pengetahuan sistem menggunakan kaidah produksi, proses inferensi menggunakan forward chaining dan proses perhitungan nilai kepastian menggunakan metode certainty factor. Forward chaining digunakan untuk proses pelacakan dari faktor-faktor yang telah terpilih untuk kemudian mencocokan dengan rule yang sudah ada di sistem agar dapat memberikan suatu konklusi, Setelah ditemukan rule yang cocok dari faktor-faktor yang terpilih kemudian di hitung dengan metode certainty factor untuk mengetahui tingkat keyakinan konklusi. Penggunaan dua metode ini bertujuan untuk memberikan hasil yang lebih baik dalam memberikan rekomendasi aktivitas pensiun. Hasil dari penelitian ini setelah melakukan pengujian User Acceptance Test (UAT)terhadap 30 responden pada sistem menghasilkan kesimpulan bahwa sistem ini membantu dalam memberikan rekomendasi aktivitas untuk persiapan pensiun dengan persentase 87,4%, tampilan antarmuka sistem sangat menarik dan juga informasi yang diberikan sangat jelas dengan persentase 86%, sistem yang dibangun ini mudah digunakan dengan persentase 82,6% dan sistem yang dibangun ini mudah dipelajari dengan persentase 80,6%. Hal tersebut ditunjukkan dengan nilai rata-rata persentase sebesar 80,06 %. Abstract Retirement is a period that is sure to come to everyone. When a person enters retirement, there will be an important change in the development of an individual's life, which is marked by changes in circumstances such as financial loss, loss of status, loss of friends/acquaintances, and loss of routine work activities. Many people are not ready to face retirement, because retirement is seen as a breaker in the routine that has been going on for years. The representation of system knowledge uses production principles, the inference process uses forward chaining and the process of calculating the certainty value uses the certainty factor method. Forward chaining is used for the tracking process of the factors that have been selected to then match the rules that already exist on the system to provide a conclusion, After finding a suitable rule from the selected factors then it is calculated by the certainty factor method to determine the level concluding beliefs. The use of these two methods aims to provide better results in providing recommendations for retirement activities. The results of this study after testing the User Acceptance Test (UAT) of 30 respondents on the system resulted in the conclusion that this system helps provide recommendations of activities for retirement preparation for a percentage of 87.4%, the system interface is very attractive and the information provided is very clear. With a percentage of 86%, the system built is easy to use with a percentage of 82.6%, and the system built is easy to learn with a percentage of 80.6%. This is indicated by the average percentage value of 80.06%.
Pelatihan penggunaan Microsoft Excel berbasis kasus nyata untuk peningkatan kompetensi Tenaga Kependidikan Kusumadewi, Sri; Setiawan, Fajar
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 7, No 1 (2024): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v7i1.1918

Abstract

Pelatihan penggunaan Microsoft Excel untuk membantu penyelesaian tugas perkantoran telah banyak dilakukan. Salah satu penyebab kurang efektifnya hasil pelatihan adalah penggunaan kasus yang kurang relevan dengan permasalahan yang dialami peserta. Pada tulisan ini, penulis akan memaparkan hasil kegiatan pengabdian kepada masyarakat berupa pelatihan penggunaan Microsoft Excel dengan pendekatan berbasis kasus. Pelatihan dilakukan kepada tenaga kependidikan (tendik) Universitas Islam Indonesia (UII). Sebanyak 188 tendik mengikuti kegiatan pelatihan ini yang terbagi dalam enam kelompok sesuai dengan unit kerja. Pelatihan dilakukan secara luring dan daring. Pada akhir pelatihan, beberapa kelompok diberikan post test menggunakan aplikasi Kahoot. Hasil post test menunjukkan rata-rata nilai sebesar 65,67. Kurangnya durasi waktu pengerjaan beberapa soal dan kekurangcermatan membaca soal atau pilihan jawaban disinyalir menjadi salah satu penyebabnya. Peserta merasa bahwa beberapa materi yang diajarkan merupakan hal baru yang sangat membantu dan memudahkan pengerjaan tugas sehari-hari. Implementasi fungsi-fungsi Microsoft Excel pada permasalahan nyata yang menjadi tugas tendik juga terbukti pencapaian efektivitas kegiatan penelitian. Kedepan, tendik dapat belajar secara mandiri dengan bantuan materi yang dengan mudah dapat diperoleh melalui media online.
Evaluation and Ranking of Urban Drainage Systems Using SAW, TOPSIS, and VIKOR Methods: A Case Study in Bantul Regency Arifin, Muhamad; Winarno, Setya; Kusumadewi, Sri
Applied Research in Science and Technology Vol. 5 No. 2 (2025): Applied Research in Science and Technology
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/areste.v5i2.103

Abstract

Background: Urban flooding and waterlogging in Bantul Regency stem from inadequate drainage systems, exacerbated by rapid urbanization, land use changes, poor infrastructure planning, and intensified rainfall due to climate change. Therefore, an integrated risk management approach compassing both structural and non-structural solutions—is crucial for improving urban drainage resilience. Conversely, the comprehensive evaluation of drainage system performance continues to pose considerable challenges. Assessments that concentrate solely on hydraulic or technical parameters while neglecting environmental, social, and economic factors—often result in suboptimal or misdirected decisions. As such, adopting a more integrative approach through multi-criteria decision-making methods, such as Multi-Attribute Decision Making (MADM), emerges as a pertinent alternative.Aims and Methods: The methods employed for MADM analysis in this study include the Simple Additive Weighting (SAW), the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and the Vlse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Each of these approaches is designed to accommodate different data characteristics, levels of analytical complexity required, degrees of uncertainty involved, computational load, and the decision maker’s experience or expertise in applying the respective method.Results: The analysis results indicate that, based on the SAW method, location A11 obtained the highest score (0.8637), signifying the poorest drainage system performance and thus requiring top-priority intervention, whereas location A77 achieved the lowest score (0.3132), indicating a well-functioning drainage condition. Using TOPSIS, location A9 ranked first with a preference value (Vi) of 0.7498, reflecting significant proximity to the ideal solution, while A6 recorded the lowest score (0.2152). Meanwhile, the VIKOR method identified location A99 as the top-ranked alternative with a VIKOR index of 16.5321, while A1 emerged as the lowest-ranked alternative with a VIKOR index of 0.0188.
Co-Authors Abd. Halim Achmad Khodzim Agus Harjoko AGUS RIYANTO Al Amin, Muhammad Zainudin Alatas, Alwi Achmad Alfian Nurlifa Alysia Nurkhalisha Andika, Zikri Dwi Andri Panca Purnama Ardhitya Wiedha Irawan Aridhanyati Arifin Arifianto, July Arkham Zahri Rakhman Arrie Kurniawardhani Bayu Hartono Bediatra, Muhamad Riko Chaela Rosi Budiarti Chandra Putra Pradana Chanifah I. Ratnasari Chanifah Indah Ratnasari Dhina Puspasari Wijaya, Dhina Puspasari Dzikra Rafik Putra Edi Fitriyanto Edi Fitriyanto Elyza Gustri Wahyuni Erlina Marfianti, Erlina FAJAR SETIAWAN Fitriyanto, Raden Edi Frestiany Regina Putri Geralvin Maheswara Gita Putry Nabilah Gita Putry Nabilah, Gita Putry Hardiyanti, Cicin Hari Purnomo Heksaputra, Dadang Helmanatun Nisa Wulandari Heni Pujiastuti Hepi Wahyuningsih Herman Yuliansyah Idham Guswaludin Intan Ruspita Ipin Prasojo, Ipin Isnatin Miladiyah Iswara, Ruhil Izzati Muhimmah Jannah, Helmi Roichatul Kariyam - khanan khanan KHARISMA ERIZON Kholisoh Nur Sinta Kiki Kiki Kukuh Eka Nugraha Kusumaningrum, Trias Pungkur Lia Rosmalia Lia Rosmalia Linda Rosita Lizda Iswari Lusiana Indriasari Sagita Lusiana Indriasari Sagita Magus Sediono Mahesti Rancaksari Mufidah, Nadia Citra Muhamad Arifin, Muhamad Nabila Sholihah, Nabila Nadya Satya Handayani Neny Sulistianingsih Ninki Hermaduanti Numan Numan Nur W. Rahayu Nur Wachid Adi Prasetya Nurhayati Nurhayati Nurlaili Muzayyanah Nurul Bahiyah Nurul Mega Saraswati Pahri, Andi Nur Ilma PandiAstuti, Dien NoorFawziah Parjono, Parjono Prasetyo, Dono Catur Rahadian Kurniawan Rakhmat Wahyu Widiantoro Rani Putriana Rani Putriana, Rani Retantyo Wardoyo Rian Anggraeni Ridho Muktiadi Rika Ismayanti Roma Firmansyah Ruslam, Andri Wahyu Ahmad Sabella, Billy Sagala, Muhammad Zikri Khatami Sagita, Lusiana Indriasari Setya Winarno Shofwan Hanif Sri Hartati Sri Mulyati sri mulyati Sri Winiarti Subayu, Abdi Sujarwo, Ari Sukma Puspitorini Supardianto Supadianto Syafiul Muzid Syaiful Hendra Tanti, Wa Ode Tedy Rismawan WAHYU PRABOWO Wawan Indarto Wijaya, Guruh Yuantari, Rahma Yuliansyah, Herman Yunita Wisda Tumarta Arif