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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer CESS (Journal of Computer Engineering, System and Science) Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Riset Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal SITECH : Sistem Informasi dan Teknologi Progresif: Jurnal Ilmiah Komputer Journal of Information Systems and Informatics JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Teknologi Dan Sistem Informasi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Sistem Komputer dan Informatika (JSON) Aiti: Jurnal Teknologi Informasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Business and Audit Information System (JBASE) IJECS: Indonesian Journal of Empowerment and Community Services Jurnal Pendidikan dan Teknologi Indonesia Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Jurnal Indonesia Sosial Teknologi Jurnal Informatika: Jurnal Pengembangan IT
Dwi Hosanna Bangkalang
Universitas Kristen Satya Wacana
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Transportation Other

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Rekayasa Kebutuhan Sistem Informasi Pendaftaran Kursus LPK Media Citra Mandiri Menggunakan Prototype Development Process Model Salu, Celvin Netaniel; Bangkalang, Dwi Hosanna
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 4 (2024): Agustus 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i4.7813

Abstract

Abstrak – Peningkatan efisiensi dan efektivitas dalam proses administrasi dan operasional lembaga pendidikan merupakan faktor penting dalam menghadapi tantangan bisnis dan implementasi tata kelola operasional yang baik.  Begitu juga dengan lembaga kursus LPK Media Citra Mandiri yang ingin mengadopsi teknologi dalam meningkatkan pelayanan kepada pelanggan. Saat ini, LPK Media Citra Mandiri menghadapi beberapa kendala yaitu proses pendaftaran kursus yang belum terintegrasi yang menyebabkan proses administrasi menjadi lebih tidak efisien dan memakan waktu lebih lama. Selain itu, LPK sulit untuk mempromosikan program mereka kepada masyarakat karena belum ada website sistem informasi, yang pada akhirnya menghambat pertumbuhan dan kualitas layanan pada lembaga tersebut. Oleh karena itu, dibutuhkan sebuah sistem informasi yang dapat membuat proses pendaftaran kursus lebih efisien, pengelolaan data yang terintegrasi, meningkatkan kualitas layanan, dan mempermudah melakukan promosi. Metode yang digunakan dalam melakukan analisis rekayasa kebutuhan yaitu metode System Engineering Life Cycle dan dalam penelitian ini akan fokus pada tahapan concept development. Tujuan penelitian ini adalah untuk menentukan kebutuhan awal dan mengembangkan sistem informasi berbasis website. Selanjutnya evaluasi prototype dilakukan menggunakan User Experience Questionnaire (UEQ) untuk melakukan pengukuran kepuasan pengguna, hasil yang diperoleh akan digunakan sebagai perbaikan pada rancangan. Berdasarkan hasil pengujian yang telah dilakukan, terlihat bahwa sistem dapat diterima dengan hasil yang baik dengan nilai overall yaitu mendapatkan rata-rata 1,51 yang menunjukkan hasil baik (Good) sehingga desain sistem ini dapat dijadikan sebagai dasar pengembangan sistem informasi pendaftaran kursus LPK Media Citra Mandiri.Kata kunci: lpk, rekayasa kebutuhan sistem, system engineering life cycle, prototype, User Experience Questionnaire Abstract - Increasing efficiency and effectiveness in the administrative and operational processes of educational institutions is an important factor in facing business challenges and implementing good operational governance.  Likewise, the LPK Media Citra Mandiri course institution wants to adopt technology to improve service to customers. Currently, LPK Media Citra Mandiri is facing several obstacles, namely the course registration process is not yet integrated, which causes the administration process to be more inefficient and take longer. Apart from that, it is difficult for LPK to promote their programs to the public because there is no information system website, which ultimately hinders the growth and quality of services at these institutions. Therefore, an information system is needed that can make the course registration process more efficient, manage integrated data, improve service quality, and make promotions easier. The method used to carry out requirements engineering analysis is the System Engineering Life Cycle method and in this research we will focus on the concept development stage. The aim of this research is to determine initial needs and develop a website-based information system. Next, prototype evaluation is carried out using the User Experience Questionnaire (UEQ) to measure user satisfaction. The results obtained will be used as improvements to the design. Based on the results of the tests that have been carried out, it appears that the system can be accepted with good results with an overall score of 1.51 which indicates good results (Good) so that this system design can be used as a basis for developing an LPK Media Citra course registration information system Independent.Keywords: lpk, system requirements engineering, system engineering life cycle, prototype, User Experience Questionnaire
Requirement Engineering Aplikasi E-Rapor SMK Negeri 3 Ambon Dengan Pemanfaatan Teknologi RESTful API Hetharion, Sthania; Bangkalang, Dwi Hosanna
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 4 (2024): Oktober 2024
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v6i4.1602

Abstract

SMK Negeri 3 Ambon manages grades using the Implementation of the Independent Curriculum (IKM) assessment format in Microsoft Excel files. However, managing student grades takes a long time to be processed into report card grades. Therefore, an integrated e-report application is needed to help the school manage student grades more efficiently and effectively. The e-report application will be designed as a website using the requirement engineering method by Loucopoulos and Kanakostas, which follows an iterative requirement engineering process model. This system is designed utilizing RESTful API technology to avoid data redundancy, speed up data exchange, and integrate with other systems in use, such as the Advanced Message Queuing Protocol (AMQP). Usability testing was conducted using the System Usability Scale (SUS) to validate the system design. The results obtained from the testing phase showed a score of 74.26%, which indicates that the system is good and acceptable to users.
Pembangunan Aplikasi Monitoring Distribusi Bantuan Kepada UMKM Berbasis Web Bangkalang, Dwi Hosanna; Setiyawati, Nina; Susetyo, Yerymia Alfa; Saian, Pratyaksa Ocsa Nugraha
Progresif: Jurnal Ilmiah Komputer Vol 20, No 2: Agustus 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v20i2.1615

Abstract

To encourage consumption and demand for MSME products in the form of goods and services, Dinas Koperasi, Usaha Kecil dan Menengah (DinKopUKM) of Salatiga City is taking steps by organizing activities that will provide stimulus in the form of gifts in the form of goods and gifts in the form of shopping vouchers. To expedite this program, an integrated aid distribution system was built, one of the applications in which is a web-based Aid Distribution Monitoring Application. This application functions to monitor voucher distribution. The application was built using the CodeIgniter framework and consists of six main features. The applications that have been built are tested using black box testing and user acceptance testing methods. From the testing process, it was found that the functional application was running as expected and users strongly agreed that the application that was built made it easier to monitor the distribution of aid to MSMEs.Kata kunci: Monitoring Aid Distribution; Web; Blackbox Testing; User Acceptance Testing; MSMEs AbstrakUntuk mendorong terjadinya konsumsi dan kebutuhan akan produk-produk UMKM baik berwujud barang maupun jasa, Dinas Koperasi, Usaha Kecil dan Menengah Kota Salatiga (DinKopUKM) melakukan langkah dengan menyelenggarakan kegiatan yang akan memberikan stimulus berupa hadiah berwujud barang dan hadiah berwujud voucher belanja. Untuk memperlancar program ini, maka dibangunlah sistem distribusi bantuan terintegrasi dimana salah satu aplikasi didalamnya adalah Aplikasi Monitoring Distribusi Bantuan berbasis web. Aplikasi ini berfungsi untuk melakukan pemantauan distribusi voucher. Aplikasi dibangun menggunakan framework CodeIgniter dan terdiri dari enam fitur utama. Aplikasi yang telah dibangun diuji menggunakan metode blackbox testing dan user acceptance testing. Dari proses pengujian, didapatkan bahwa fungsional aplikasi telah berjalan sesuai dengan yang diharapkan dan pengguna sangat setuju aplikasi yang dibangun memudahkan proses monitoring distribusi bantuan kepada UMKM.Kata kunci: Monitoring Distribusi Bantuan; Web; Blackbox Testing; User Acceptance Testing; UMKM 
Implementation and Training of Congregation Data Management Application at GPID Eben Haezer Palu Bangkalang, Dwi Hosanna; Evangs; Setiyawati, Nina; Hartomo, Kristoko Dwi; Pakereng, Magdalena Ariance Ineke
IJECS: Indonesian Journal of Empowerment and Community Services Vol. 6 No. 1 (2025)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/ijecs.v6i1.5953

Abstract

Congregation data collection at GPID Eben Haezer is still done manually. This causes a lot of congregation data to be unsynchronized between the written data and the actual data. In addition, it also results in inefficient administrative services to the congregation. The vision of church digitalization also raises its own problems for the church, namely the unpreparedness of the church's human resources (HR) in digital capabilities. This Community Service (PkM) activity is to help and facilitate GPID Eben Haezer in implementing congregation data management applications and mentoring training in the process of adopting technology in church governance. The training activity was attended by 7 church admins and was carried out after the stages of formulating partner needs, adjusting and implementing the application. After the training, the application usability was measured using the System Usability Scale (SUS) and a score of 83 was obtained, indicating that the implemented application was EXCELLENT and ACCEPTABLE.  Keywords: Congregation Data Collection Application; Digital Skills; Training; System Usability Scale
Evaluating the User Experience of a Mobile Ticketing Application using the User Experience Questionnaire (UEQ) Bailaen, Elsa Anjamilen; Bangkalang, Dwi Hosanna
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5243

Abstract

The digitalization of the mobile ticketing sector in Indonesia has seen significant growth, with a projected 50% increase in mobile ticketing app usage by 2025. Popular applications such as Traveloka, Tiket.com, Agoda, and Booking.com dominate the market, yet they face several technical challenges, including navigation difficulties, unclear interfaces, performance bugs during peak hours, slow application response times, and limited features. This study employed the User Experience Questionnaire (UEQ) method and involved 578 respondents selected through purposive sampling. The criteria included active users of one of the mobile ticketing apps and individuals aged between 20 and 40 years. The results of the t-test revealed that Agoda needs to improve the perspicuity aspect by simplifying its dense user interface, particularly in accommodation and travel ticket searches. Regarding efficiency, Traveloka, Agoda, and Booking.com must enhance their search systems and address bugs/errors that disrupt performance during peak usage times. For stimulation, Traveloka should enhance user experience by providing a more dynamic and responsive layout when navigating pages or performing searches. In terms of novelty, both Agoda and Booking.com are advised to integrate local e-wallets such as GoPay, OVO, and DANA, as well as bank transfer options, since currently they only support credit card payments. These findings highlight the critical role of UX in improving user satisfaction and suggest that continuous user-centered development is essential for maintaining competitiveness in the mobile ticketing industry.
Design and Implementation of an ETL Pipeline for Prospective Student Data Analysis in Higher Education Admissions Setiyawati, Nina; Bangkalang, Dwi Hosanna; Asmara, Gilang Windu
Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i4.5158

Abstract

The number of universities in Indonesia continues to grow. This condition certainly makes the flow of new student admissions increasingly competitive between universities, thus encouraging universities to do branding, show quality, and do the right positioning. Therefore, it is important for universities to adopt a data-driven approach that can provide in-depth insights into prospective students and the effectiveness of marketing strategies. The purpose of this study is to design and build an ETL (Extract, Transform, Load) pipeline to collect, process, and analyze prospective student data as part of the business intelligence (BI) system to be built. The proposed ETL architecture design supports automated microservices-based data transformation in data cleaning, normalization, and integration. In addition, it can also be used as a solution to increase the scalability and flexibility of data mobilization in the BI system. This study introduces a novel approach by designing an ETL pipeline within a business intelligence framework aimed at enhancing university marketing efforts. Unlike prior research, which has primarily applied business intelligence tools to evaluate academic activities within learning management systems, this work shifts the focus to marketing analytics. Additionally, while existing studies on higher education marketing often center around digital marketing techniques and the marketing mix, this research fills a gap by proposing a technical infrastructure that supports data-driven marketing through automated ETL processes. The resulting ETL was tested using several methods, namely Source to Target Count Testing, Source to Target Data Testing, Duplicate Data Check Testing, and Data Transformation Testing. The results of each test are valid
Developing a Web-based MSME Sales Revenue Data Management and Reporting Portal Using OAuth 2.0 Setiyawati, Nina; Bangkalang, Dwi Hosanna
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 3 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i3.8598

Abstract

The Cooperatives and SMEs Service (DinKopUKM) under the Ministry of Cooperatives and SMEs play a vital role in coordinating the implementation of tasks, coaching and providing administrative support for MSMEs. In this research, a portal for managing MSME data and Sales Revenue reporting was carried out to support transparent information management, monitoring MSME business implementation, and encouraging orderly administration in MSMEs so as to optimize efforts to empower MSMEs. The portal was developed using Laravel technology for the backend and NextJS for the frontend, with a responsive web design so that it can be accessed from various devices. Apart from that, to support data integration and data communication with resources that have been built in previous research, OAuth 2.0 was implemented. The development process is in accordance with the Prototyping process model. The portal developed was tested using the black box testing method. It was found that this portal was in accordance with the needs and design of the system. The portal developed helps DinKopUKM in carrying out its duties of data collection on MSMEs, monitoring MSMEs, and encouraging MSMEs to maintain orderly administration
Perbandingan Bidirectional Encoder Representations from Transformers (BERT) Language Model pada Deteksi Emosi Bangkalang, Dwi Hosanna; Setiyawati, Nina
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 9 (2025): JPTI - September 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.988

Abstract

Informasi Tekstual menjadi salah satu cara untuk deteksi emosi. Namun, ekstraksi emosi menjadi tantangan tersendiri dikarenakan makna implisit dan eksplisit yang terkandung dalam teks. Pendekatan Ekstraksi makna emosi berbasis teks sudah banyak dilakukan dengan model deep learning. Meski begitu, performa komputasi dan akurasi model sering kali kontradiktif dikarenakan model yang kompleks. Oleh karena itu, dilakukan eksperimental model deep learning menggunakan BERT Model Language untuk deteksi emosi. Tujuan penelitian ini yaitu menghasilkan model deteksi emosi yang optimal dan akurat yang dapat memberikan performa komputasi yang rendah. Metode yang digunakan pada penelitian ini yaitu data collection, data pre-processing, arsitektur BERT, BERT Model Comparison, dan Model Evaluation. Model deteksi emosi terbaik ditemukan pada model DistilBERT dengan akurasi 0.9425 dan nilai F1 0.942. Berdasarkan evaluasi proses pembelajaran model DistilBERT, terdapat loss trend menurun sehingga model semakin mampu untuk melakukan prediksi emosi yang baik terhadap unseen data. Model deteksi emosi yang diusulkan, menghasilkan performa lebih unggul dibandingkan dengan model deteksi emosi menggunakan deep learning pada penelitian sebelumnya dimana model ini dapat meminimalisir kompleksitas model deteksi emosi, mengurangi komputasi namun tetap memberikan performa yang optimal.
Perancangan Model Pengenalan Emosi Berbasis Teks Berbahasa Inggris Menggunakan Lima Algoritma Klasifikasi Machine Learning Soebroto, Dorkas Tri Oktavena; Setiyawati, Nina; Bangkalang, Dwi Hosanna
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 9 (2025): JPTI - September 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.1084

Abstract

Saat ini, interaksi melalui platform teks marak dilakukan seperti media sosial, layanan pelanggan daring, dan forum diskusi. Oleh karena itu analisis Text Emotion Recognition (TER) menjadi sangat krusial. Namun, emosi dalam teks bersifat kompleks, kontekstual, dan sering kali bersifat implisit, sehingga tidak dapat dengan mudah diidentifikasi menggunakan pendekatan konvensional. TER merupakan proses identifikasi dan klasifikasi emosi dalam teks secara otomatis menggunakan teknik machine learning. Penelitian ini bertujuan untuk merancang model pengklasifikasian emosi berbasis teks menggunakan berbagai algoritma classification machine learning. Data teks dikategorikan ke dalam enam emosi utama: sadness, joy, love, anger, fear, dan surprise. Tahapan preprocessing meliputi tokenisasi, stop word removal, dan lemmatization, sedangkan fitur teks direpresentasikan dalam bentuk numerik menggunakan Term Frequency-Inverse Document Frequency (TF-IDF). Lima algoritma machine learning, yaitu Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Random Forest, Logistic Regression, dan Multinomial Naïve Bayes, digunakan dalam pelatihan dan evaluasi model. Hasil penelitian menunjukkan bahwa model SVM dan Random Forest memberikan performa terbaik dengan akurasi mencapai 85% pada data uji. Dengan demikian, pendekatan machine learning, khususnya SVM dan Random Forest, terbukti efektif dalam klasifikasi teks emosi dan dapat diterapkan dalam berbagai aplikasi analisis sentimen. Model TER hasil eksperimental akan dilanjutkan untuk diimplementasikan pada aplikasi penanganan psikologis korban kekerasan berbasis gender (KBG) yang telah dibangun pada penelitian sebelumnya.
Penerapan Metode Two Step Cluster dalam Analisis Menu Engineering pada Usaha Kuliner Setiyawati, Nina; Bangkalang, Dwi Hosanna
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.2020722012

Abstract

Dalam usaha kuliner, analisis menu perlu dilakukan untuk melihat keseimbangan antara food cost, harga menu, popularitas item, juga pertimbangan finansial dan pemasaran. Menu engineering merupakan metodologi untuk mengelompokkan menu berdasar pada margin kontribusi dan popularitas. Pada penelitian ini dilakukan analisis menu engineering pada suatu Usaha Mikro Kecil dan Menengah (UMKM) di Kota Salatiga yang bergerak di bidang kuliner menggunakan Two-Step Cluster yang dapat menggali cluster alami sesuai dengan kumpulan data menu yang ada sehingga akan ditemukan jumlah cluster yang optimal. Two-Step Cluster adalah metode yang dapat menangani variabel kategori dan kontinu, oleh karena itu dilakukanlah adaptasi model menu engineering yang diusulkan Kasavana dan Smith (1982) dengan menambahkan variabel category, sehingga dengan menggunakan Two-Step Cluster dapat dilihat mayoritas kategori menu yang menjadi anggota pada setiap cluster. Adaptasi juga dilakukan dalam kelompok variabel kontinu, yaitu dengan menambahkan variabel revenue yang digunakan untuk perbandingan pada hasil cluster. Dengan indikator Schwarz's Bayesian Information Criterion (BIC) dihasilkanlah jumlah cluster optimal yaitu 4 cluster dengan anggota paling sedikit pada cluster “popularitas tinggi dan mempunyai margin kontribusi yang berada di atas rata-rata”. Pengujian clustering dilakukan dengan menggunakan metode Silhoutte dan menunjukkan kualitas cluster yang dihasilkan memiliki nilai Silhoutte yang besar yaitu 0,7. Hal ini membuktikan cluster-cluster yang terbentuk telah terklasterisasi dengan baik. Adapun manfaat dari penelitian ini adalah didapatkannya rekomendasi kebijakan baru untuk setiap cluster yang dihasilkan sehingga dapat digunakan  pemilik UMKM dalam upaya peningkatan revenue usaha. AbstractIn culinary business, menu analysis is needed to see the balance of food cost, menu item prices, item popularity, as well as the financial and marketing considerations. Menu engineering is a method to group menu according to the contribution margin and popularity. The present study conducts a menu analysis to a Small Medium Enterprise (SME) in culinary business in Salatiga by implementing Two-Step Cluster analysis. It aims to find the natural clusters based on the existing menu data set to discover the optimal cluster number. Two-Step Cluster is a method that can be used to process categorical and continuous variables. In this study, the menu engineering model by Kasavana and Smith (1982) was adapted by adding the categorical variable. Therefore, by using the Two-Step Cluster method, the majority of menu category in each cluster can be seen. This adaption was also implemented in the continuous variable group by adding the revenue variable used for the comparison of the cluster results. With Schwarz's Bayesian Information Criterion (BIC) indicator, the results of the study show there are four clusters, in which “the highest popularity and the contribution margin above the average” cluster has the least members. Using Silhouette method, clustering testing was conducted, indicating the cluster quality result with 0,7 Silhouette value. As for the benefit of the study, new strategic recommendations can be generated for the resulted clusters based on which SME owners can improve their revenue. 
Co-Authors Adam Surya Wijaya Ade Iriani Andeka Rocky Tanaamah Angelini, Siski Asmara, Gilang Windu Bailaen, Elsa Anjamilen Budhi Kristianto Danny Manongga Dian Novita Kristiyani Evangs Evangs Mailoa Fictor Imanuel Tanesab Hanna Prillysca Chernovita Hanusia Manuel Oktrivania Zamili Hendry, - Henny Hartono Herdin Yohnes Madawara Hetharion, Sthania Hindriyanto Dwi Purnomo Irwan Sembiring Kristoko Dwi Hartomo Lydia Liliana Magdalena Ariance Ineke Pakereng Mangundap, Astrella Christenia Clara Meiselia Ekawati Asoney Fina Nico Fernando Nina Setiyawati Pamula, Bonifasis Penidas Fodinggo Tanaem Pratyaksa Ocsa Nugraha Saian Purwoko, Agus Raras, Galuh Hanggana Royani, Ivana Lara Salu, Celvin Netaniel Septembri Rio Bagaskara Shinray Fang, Jonathan Soebroto, Dorkas Tri Oktavena Sri Yulianto Prasetyo Sugiarto, Adrian Herma Titiana, Titiana Yayi Suryo Prabandari Yerymia Alfa Susetyo Yuliana T. B. Tacoh ‪Hanna P. Chernovita