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All Journal Jurnal Ilmu Komputer JAIS (Journal of Applied Intelligent System) Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) KOMPUTIKA - Jurnal Sistem Komputer Progresif: Jurnal Ilmiah Komputer Jurnal Manajemen Informatika dan Sistem Informasi Budimas : Jurnal Pengabdian Masyarakat Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) J-SAKTI (Jurnal Sains Komputer dan Informatika) Komatika: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Science Technology and Management Journal (STMJ) Inovasi Sosial: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Indonesia
Saraswati, Galuh Wilujeng
Universitas Dian Nuswantoro
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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MODEL SISTEM PENDUKUNG KEPUTUSAN HYBRID MCDM (AHP-SAW) UNTUK PENENTUAN PRIORITAS FORMASI JABATAN CALON APARATUR SIPIL NEGARA DAERAH Cahyani, Almaun Tri; Saraswati, Galuh Wilujeng; Mahmud, Wildan
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 11 No 1 (2026): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v11i1.66147

Abstract

Penentuan formasi jabatan Calon Aparatur Sipil Negara (CASN) di pemerintah daerah sering bersifat subjektif dan belum terintegrasi dengan data analisis beban kerja dan analisis jabatan. Kondisi ini menyebabkan ketimpangan distribusi pegawai serta ketidakefisienan dalam perencanaan sumber daya manusia. Penelitian ini bertujuan merancang Sistem Pendukung Keputusan (SPK) untuk menentukan prioritas formasi jabatan secara objektif dan berbasis data. Metode yang digunakan adalah pendekatan Multi-Criteria Decision Making (MCDM) dengan mengintegrasikan Analytic Hierarchy Process (AHP) untuk pembobotan tujuh kriteria dan Simple Additive Weighting (SAW) untuk perangkingan 168 alternatif jabatan dari 62 unit organisasi (OPD). Data penelitian bersumber dari analisis jabatan, analisis beban kerja, serta data kepegawaian aktual. Hasil penelitian menunjukkan bahwa model menghasilkan bobot kriteria yang konsisten dengan nilai Consistency Ratio (CR) sebesar 0,0453. Jabatan Pemadam Kebakaran Pemula pada OPD-62 memperoleh nilai preferensi tertinggi (Vi = 0,5973) sebagai prioritas utama. Implementasi sistem dalam bentuk dashboard analitik dapat mendukung pengambilan keputusan yang lebih objektif, transparan, dan berbasis data.
PENERAPAN MODEL DEEP LEARNING BILSTM UNTUK KLASIFIKASI MULTI-KELAS PADA DATA ADUAN MASYARAKAT Garda, Kautsa Adi; Saraswati, Galuh Wilujeng; Lutfina, Erba
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 11 No 1 (2026): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v11i1.66293

Abstract

Layanan Pengaduan Masyarakat merupakan suatu kanal layanan yang dipergunakan masyarakat untuk melaporkan suatu kejadian pelanggaran dan masalah yang tidak sesuai dengan aturan tertulis maupun tidak tertulis. Pemerintah Kota Kediri melalui Dinas Komunikasi dan Informatika mempunyai suatu sistem layanan pengaduan online untuk menampung keluhan, saran, serta aspirasi masyarakat. Keberagaman dan tingginya volume aduan menuntut operator untuk meneruskan laporan kepada banyak pilihan instansi terkait sekaligus. Oleh karena itu, perlu adanya sistem yang mampu melakukan klasifikasi otomatis terhadap teks aduan masyarakat. Penelitian ini bertujuan untuk otomatisasi klasifikasi teks aduan menggunakan algoritma Bidirectional Long Short-Term Memory (BiLSTM) dengan skema multiclass sebanyak 21 kelas. Pembagian data dilakukan dengan rasio 80:20 untuk data training dan testing, kemudian 10% dari data pelatihan digunakan sebagai data validation. Penelitian ini menggunakan Word2Vec untuk pembobotan kata, Random Oversampling untuk balancing data serta membandingkan uji parameter batch size dan optimizer. Berdasarkan hasil dari 8 skenario pengujian, diperoleh skenario model dengan akurasi tertinggi sebesar 0,6977 (70%). Nilai tersebut tergolong cukup baik mengingat jumlah kelas yang relatif banyak dan variasi penggunaan bahasa daerah dan slang pada data aduan. Secara keseluruhan, BiLSTM menunjukkan kinerja yang memadai untuk klasifikasi teks multiclass.
INTEGRASI EXTREME PROGRAMMING DAN PROTOTYPE DALAM PENGEMBANGAN SISTEM POS ACCOUNTING DENGAN PENGUJIAN BERBASIS ARTIFICIAL INTELLIGENCE: INTEGRATION OF EXTREME PROGRAMMING AND PROTOTYPING IN THE DEVELOPMENT OF A POS ACCOUNTING SYSTEM WITH ARTIFICIAL INTELLIGENCE BASED TESTING Nabela Putri Setiawan; Erba Lutfina; Galuh Wilujeng Saraswati; Resha Meiranadi Caturkusuma
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.6959

Abstract

Advancements in information technology have had a significant impact on various sectors, including the business sector, which requires efficiency and accuracy in data management. Fresh Market Pantai Klatak is one of the companies that requires such improvements, as it still relies on a manual transaction management system, resulting in delays in reporting and errors in calculations. The development of a web-based Point of Sale (POS) Accounting System is expected to support transaction management and financial reporting at Fresh Market Pantai Klatak. The system development employs the Extreme Programming (XP) method combined with the Prototype approach during the planning and design phases to accelerate the development process and better meet user requirements. The integration of Extreme Programming (XP) and Prototype, supported by Artificial Intelligence (AI) during the testing phase, enables the development of a system that is responsive to user needs while improving code quality and user interface through AI-based automated validation. Unit Testing results indicate that the system functions properly with a success rate of 100%. Furthermore, User Acceptance Testing (UAT) results show an average score of 97%, which falls into the “very good” category, indicating that the POS Accounting System meets user requirements. Therefore, the developed POS Accounting System is feasible for use and is expected to improve operational efficiency and the accuracy of financial reporting at Fresh Market Pantai Klatak.
INTEGRASI METODE RAPID APPLICATION DEVELOPMENT (RAD) DAN USER ACCEPTANCE TESTING (UAT) DALAM PENGEMBANGAN SISTEM INFORMASI PEMESANAN DIGITAL PRINTING: INTEGRATION OF RAPID APPLICATION DEVELOPMENT (RAD) AND USER ACCEPTANCE TESTING (UAT) METHODS IN THE DEVELOPMENT OF A DIGITAL PRINTING ORDERING INFORMATION SYSTEM Kenza Amelia Putri Anwarri; Galuh Wilujeng Saraswati; Wildan Mahmud; Erba Lutfina; Resha Meiranadi Caturkusuma
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.6960

Abstract

Advances in information technology have encouraged various business sectors to switch from manual systems to digital systems in order to improve efficiency and service quality. CV. Penanggungan 44, as a digital printing service provider, previously used a manual ordering system, resulting in inefficient transactions and susceptibility to recording errors. This study aims to design and develop a website-based Digital Printing Ordering Information System that can simplify the ordering process and assist in integrated data management. The system was developed using the Rapid Application Development (RAD) method combined with a User-Centered Design (UCD) approach and User Acceptance Testing (UAT) applied iteratively. UAT is not only used as a final testing stage, but also utilized since the interface design stage as a formative evaluation, so that user feedback can be directly integrated into the system design and construction improvement process. This approach ensures that rapid development remains in line with user needs and experiences. Black-box Testing shows that all system features function properly with a 100% success rate. Meanwhile, the User Acceptance Testing (UAT) results obtained an average score of 86.8% in the excellent category, indicating that the system is easy to use and well-received by users. Thus, the developed system is deemed suitable for use in improving operational efficiency and service quality at CV. Penanggungan 44
Implementasi AI sebagai Asisten Cerdas untuk Meningkatkan Kompetensi Guru dalam Penyusunan Instrumen Asesmen di SMA Negeri 1 Ngadiluwih Galuh Wilujeng Saraswati; Erba Lutfina; Affandy; Ricardus Anggi Pramunendar; Muhammad Syaifur Rohman
Komatika: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2026): May 2026 (In Progress)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Institut Informatika Indonesia Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/komatika.v6i1.1482

Abstract

Perkembangan Artificial Intelligence (AI) yang pesat menuntut adaptasi kompetensi guru dalam menyusun instrumen evaluasi yang adaptif dan inovatif. Pengabdian masyarakat ini bertujuan untuk meningkatkan literasi digital tenaga pendidik di SMA Negeri 1 Ngadiluwih melalui pelatihan pemanfaatan AI sebagai asisten cerdas dalam penyusunan asesmen berbasis Higher Order Thinking Skills (HOTS) dan produksi media pembelajaran kreatif. Metode yang digunakan adalah Participatory Action Research (PAR) yang melibatkan 60 guru dari berbagai rumpun mata pelajaran. Pelatihan dilaksanakan selama 150 menit dengan alur kerja yang mencakup pemaparan teori, demonstrasi prompt engineering, dan praktik mandiri pembuatan video edukasi clay-motion. Hasil kegiatan menunjukkan adanya peningkatan kompetensi kognitif peserta secara signifikan, yang dibuktikan dengan kenaikan rata-rata nilai dari 5,63 pada pre-test menjadi 7,5 pada post-test. Selain itu, mitra berhasil memproduksi draf instrumen asesmen HOTS dan purwarupa media visual yang relevan dengan kebutuhan kurikulum. Meskipun terdapat kendala pada kesenjangan literasi digital antar generasi dan limitasi teknis perangkat, kegiatan ini terbukti efektif dalam mentransformasi peran AI sebagai asisten instruksional yang mampu mereduksi beban administrasi sekaligus meningkatkan kualitas konten edukasi di sekolah.
Implementasi Metode Simple Additive Weighting (SAW) Dalam Mendukung Keputusan Calon Penerima Beasiswa Pada MTS Nurul Ula Ervina Febrianti; Erba Lutfina; Galuh Wilujeng Saraswati; Wildan Mahmud
Science Technology and Management Journal Vol. 5 No. 2 (2025): Agustus 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v5i2.350

Abstract

Scholarships are a form of educational aid to support students’ academic pursuits, especially for those with outstanding performance or financial constraints. However, the scholarship recipient selection process at MTS Nurul 'Ula is still conducted manually, which often results in inefficiency and a lack of objective assessment standards. This manual process leads to subjective evaluations, takes a considerable amount of time, and may result in inaccurate scholarship decisions. Therefore, this study aims to develop a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to improve efficiency, accuracy, and transparency in the scholarship selection process. The SAW method was chosen because it allows for clear weighting of each selection criterion, such as academic grades, attitude scores, parental income, number of dependents, and extracurricular achievements. With this system, the selection process can be carried out more objectively based on structured mathematical weighting and calculations. The system is developed using the Delphi and MySQL database, following the Waterfall development model. The results of the study show that the implementation of the SAW-based DSS can accelerate the selection process, reduce subjectivity, and ensure that scholarships are awarded to students who meet the predetermined criteria. Thus, the system is expected to be a fairer, more accurate, and more efficient solution for supporting scholarship selection decisions at MTS Nurul 'Ula. Based on the results of the SAW calculations, an accuracy rate of 85% was achieved, indicating that the system provides accurate and reliable results in determining scholarship recipients.
IMPLEMENTASI METODE ANALYTICAL HIERARCHY PROCESS (AHP) DALAM MENDUKUNG KEPUTUSAN PEMILIHAN REKOMENDASI HANDPHONE Evita Citra Yustiqomah; Erba Lutfina; Galuh Wilujeng Saraswati; Wildan Mahmud
Science Technology and Management Journal Vol. 5 No. 2 (2025): Agustus 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v5i2.358

Abstract

In the rapidly evolving digital era, the demand for mobile phones is increasing, with a wide range of specifications and price points available. PT. Topsell Raharja Indonesia, as one of the leading mobile phone retailers, faces challenges in providing fast and accurate recommendations that align with the needs of prospective buyers. The manual phone selection process currently used by sales staff often leads to errors in decision-making, resulting in service delays and customer dissatisfaction. Therefore, this study aims to develop a Decision Support System (DSS) based on the Analytical Hierarchy Process (AHP) to assist the store in recommending optimal mobile phones based on specific criteria. The AHP method is utilized to analyze and compare several key criteria—including price, RAM capacity, camera quality, battery life, performance, and design—in order to determine priority rankings for phone selection. The results demonstrate that the proposed system improves the efficiency of recommendations, reduces selection errors, and accelerates the customer service process. The implementation of the AHP method enables objective and accurate suggestions, achieving up to 98% accuracy. By systematically calculating the weight of each criterion, the system generates optimal alternatives tailored to the preferences and needs of prospective buyers
Integrating FAST Methodology and Hybrid Recommendation for Government Asset Platforms Fani Adi Setyawan; Erba Lutfina; Galuh Wilujeng Saraswati
SISTEMASI Vol 15, No 7 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i7.6378

Abstract

Optimizing Regional Owned Property (BMD) presents a critical challenge in modern government management, where numerous potential assets remain underutilized due to information asymmetry between the state and prospective tenants. Existing research indicates that current platforms predominantly focus on administrative recording rather than proactive commercialization, largely due to rigid regulations requiring strict appraisal-based pricing. This study proposes a novel conceptual integration to resolve this dichotomy by bridging strict public sector compliance with commercial-grade user experience. Instead of utilizing it merely as a development lifecycle tool, the FAST (Framework for the Application of Systems Technique) methodology is positioned as a regulatory guardrail to deterministically lock appraisal pricing and ensure strict adherence to Ministerial Regulations. Conversely, a Hybrid Recommendation System (merging Content-Based and Collaborative Filtering) is deployed explicitly at the tenant front-end to liberate and personalize the asset discovery process. These conflicting logic domains are seamlessly separated within a decoupled multi-tier architecture. Research findings reveal that the hybrid model successfully addresses the cold-start problem, achieving a top recommendation relevance score of 0.900 for newly listed assets. User Acceptance Testing (UAT) results demonstrate high efficacy, with a 94% acceptance rate from government administrators regarding regulatory logic validation and an 89% satisfaction score from public users regarding personalized recommendations. The explicit contribution of this study is a validated technological blueprint that harmonizes government legal compliance with commercial-grade discovery algorithms, effectively boosting Regional Original Revenue (PAD) optimization. In conclusion, this research confirms that encapsulating AI within a structured regulatory framework can transform rigid public sector assets into a responsive E-Business ecosystem. The explicit contribution of this study is a validated technological blueprint that harmonizes government legal compliance with commercial-grade discovery algorithms, boosting Regional Original Revenue (PAD) optimization, with future studies recommended to explore blockchain integration for auditability.
Impementasi Metode SAW pada Sistem Pendukung Keputusan untuk Penentuan Prioritas Pendampingan Bayi Dibawah Dua Tahun di Kota Kediri Wawan Darmawan; Wildan Mahmud; Galuh Wilujeng Saraswati
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 2 (2026): April 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i2.9671

Abstract

Determining the priority of assistance for children under two years old (Baduta) is a crucial step in accelerating stunting reduction programs. However, in practice, this process is still conducted manually, leading to potential subjectivity and inaccurate targeting. This study aims to implement the Simple Additive Weighting (SAW) method within a Decision Support System to determine the priority of Baduta assistance in Kediri City in an objective and systematic manner. The dataset consists of 300 Baduta, evaluated based on criteria including body weight, height, attendance at community health posts, and access to health service referrals. Preliminary results indicate that the normalization process successfully transformed the data into a standardized scale (0–1), enabling proportional comparison across all criteria. The weighting process shows that height and body weight have dominant contributions to the preference value calculation. The final results demonstrate that the system produces preference values ranging from 0.46 to 0.83, where lower values indicate higher priority for assistance. Furthermore, the system successfully identifies the top 10 priority Baduta as the primary targets for intervention. The implementation of the system also improves decision-making efficiency compared to manual methods and produces more consistent and objective rankings. The main contribution of this study lies in the integration of the SAW method into a dashboard-based system to support more accurate and measurable decision-making for prioritizing Baduta assistance.
Three-Tier Disaster Logistics System Integrating GIS and MILP Optimization Danny Oka Ratmana; Muhammad Syaifur Rohman; Galuh Wilujeng Saraswati; Filmada Ocky Saputra; Aprilyani Nur Safitri; Imanuel Harkespan
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12727

Abstract

Effective disaster logistics management requires rapid, data-driven decision support that bridges optimization theory and operational practice. Existing systems either rely on theoretical models without implementable software, on proprietary datasets that restrict independent reconstruction, or lack validated prototypes in the Indonesian disaster context — three gaps that persist across the disaster IS literature. This study presents a three-tier web-based disaster logistics management IS integrating GIS and MILP optimization, built exclusively on public data sources (BNPB DIBI and OpenStreetMap). Using Design Science Research (DSR) across five phases, the system employs an open-source stack: Laravel 11.x presentation layer, PostgreSQL 16/PostGIS data layer, and Python FastAPI as a dedicated MILP microservice. The MILP model, a two-phase lexicographic MILP formulation with trips-aware vehicle capacity constraints is solved using the PuLP 3.3.0 + CBC solver. Three integrated modules were developed: shelter management, warehouse inventory, and logistics coordination with GIS visualization. Functional testing achieved 100% pass rate across 85 automated test cases covering all system modules, with 246ms mean response time under 50 concurrent users. The MILP solver resolved a 20-shelter problem in 0.094 seconds (99.9% below the 120-second operational planning threshold); scalability testing confirms tractability from 10 to 50 shelters (0.011–0.111 seconds), with Priority-1 shelters consistently served under both sufficient and scarce fleet conditions. Sensitivity analysis confirms lexicographic priority objectives activate correctly under resource scarcity. Comparative evaluation against heuristic and metaheuristic approaches confirms exact MILP is appropriate for the strategic planning scope of this proof-of-concept (n ≤ 50 shelters). Expert validation via ISO 25010 yielded a weighted score of 4.21/5. Usability testing with 25 participants produced a SUS score of 74.8 (Grade B, above-average per established SUS benchmarks) with 88% task completion rate. The primary contributions are a MILP-IS microservices integration pattern with explicit API specification, a comprehensively documented public-data-only implementation framework, and a proof-of-concept that closes the implementation gap between disaster logistics optimization research and operational IS deployment.
Co-Authors Achmad Naila Muna Ramadhani Adelia Rahmawati Adhitya Nugraha Aditya Wahyu Ramadhan Adji, Dian Restu Affandy Affandy Agus Winarno Ahmad Zainul Fanani Ajib Susanto Akbar Dwi Syahputra Angga Apriano Hermawan Aprilyani Nur Safitri Azhara Devi Sandi Azzahra, Tarissa Aura Bagas Aditya Mahendra Cahyani, Almaun Tri Cahyani, Salsabila Nida Caturkusuma, Resha Meiranadi Danny Oka Ratmana Danny Oka Ratmana Dianna Yanuaresta Dwi Puji Prabowo, Dwi Puji Erba Lutfina Erba Lutfina Ervina Febrianti Etika Kartikadarma Evita Citra Yustiqomah Fafaza, Safira Alya Fakhrurrozi Fakhrurrozi, Fakhrurrozi Fani Adi Setyawan Febrianti, Ervina Febrianto, Nanang Filmada Ocky Saputra Filmada Ocky Saputra Fitasari, Ayu Tri Nur Garda, Kautsa Adi Guruh Fajar Shidik Gustina Alfa Trisnapradika Handoyo, Dhiky Resandi Wur Harisa, Ardiawan Bagus Heru Agus Santoso Imanuel Harkespan Iqlima Zahari Joel Justin Adrian Kenza Amelia Putri Anwarri Lakui Johary Lutfina, Erba Malik Aziz Ali Mandasari Kusuma Dyah Tantri Mardiantara, Naya Alifiah az Azar Putri Megantara, Rama Aria Meilani Dwi Permatasari Mellati, Pita Miranti Alysha Zulia Larasati Muhamad Ni'am Syukri Roni Asmi Muhammad Syaifur Rohman Muhammad Syaifur Rohman Muljono, - Mulyanto, Edy Nabela Putri Setiawan Nimasari, Azza Nur Inayati Nurun Najmi Amanina Pergiwati, Dewi Permana, Danang Juniar Prashanti, Eva Pulung Nurtantio Andono Rahmat Trinanda Pramudya Amar Rama Tri Agung Ramadhan, Aditya Wahyu Ramadhani, Irfan Wahyu Ratmana, Danny Oka Renjiro Azhar Pramono Resha Meiranadi Caturkusuma Resha Meiranadi Caturkusuma Ricardus Anggi Pramunendar Rino Agung Rizky Syah Gumelar Rohman, Muhammad Syaifur Rohman, Muhammad Syaifur Saputra, Filmada Ocky Sri Winarsih, Nurul Anisa Wawan Darmawan Wildan Mahmud Wildan Mahmud Winarsih, Nurul Anisa Sri Winasis, Galih Adi Yustiqomah, Evita Citra Zuhdi, Ahmad Muzaki