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All Journal ITEj (Information Technology Engineering Journals) International Journal of Artificial Intelligence Research Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Mantik Penusa JSiI (Jurnal Sistem Informasi) JURIKOM (Jurnal Riset Komputer) JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Journal of Robotics and Control (JRC) Jurnal Teknik Informatika (JUTIF) Jutsi: Jurnal Teknologi dan Sistem Informasi Jurnal Teknisi J-Com (Journal of Computer) Jurnal Algoritma Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Electronic Journal of Education, Social Economics and Technology
Muhammad Ardiansyah Sembiring
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
Religion Aerospace Engineering Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Veterinary Other

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PENGENALAN SOFTWARE DAN HARDWARE KOMPUTER GUNA MENINGKATKAN WAWASAN TEKNOLOGI KEPADA SISWA Agus, Raja Tama Andri; Sibuea, Mustika Fitri Larasati; Julita, Rina; Ramadhani, Andrew; Sembiring, Muhammad Ardiansyah
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 5, No 1 (2025): April 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i1.3921

Abstract

Abstract: In the increasingly developing digital era, understanding technology is an important aspect in the world of education, especially for students who will face the challenges of the industrial era 4.0. Currently, there is still a gap in students' understanding of computer hardware and software, which has the potential to hinder their readiness to adopt and utilize technology optimally. Therefore, increasing technological insight from an early age is very necessary so that students do not only become passive users of technology, but also understand the working principles of computers and their potential in various fields. Introduction to computer hardware includes an understanding of the main components such as processors, memory (RAM), hard drives, motherboards, and input and output devices. Meanwhile, understanding of software includes operating systems, productivity applications, and learning support software. To improve the effectiveness of learning, interactive methods are needed such as live demonstrations, the use of digital learning media, and computer laboratory practices. With a combination of theory and practice, students can understand how computers work and how to use them effectively. The urgency of this community service lies in the need to improve students' technological insight so that they have adequate digital skills to face the increasingly rapid development of technology. Therefore, the results of this community service will be published in a SINTA 5 accredited journal and disseminated through mass media, such as technology-based journals. aims to expand the impact of community service, so that it can provide broader benefits to the world of education and society. Thus, this community service is expected to be a reference in the development of technology-based learning methods and help improve students' technological insight so that they are better prepared to face digital challenges in the future.            Keywords: Computer Hardware; Computer Software; Technology Insight; Students Abstrak: Di era digital yang semakin berkembang, pemahaman teknologi menjadi aspek penting dalam dunia pendidikan, khususnya bagi siswa yang akan menghadapi tantangan era industri 4.0. Saat ini, masih terdapat kesenjangan dalam pemahaman siswa mengenai perangkat keras (hardware) dan perangkat lunak (software) komputer, yang berpotensi menghambat kesiapan mereka dalam mengadopsi serta memanfaatkan teknologi secara optimal. Oleh karena itu, peningkatan wawasan teknologi sejak dini sangat diperlukan agar siswa tidak hanya menjadi pengguna teknologi yang pasif, tetapi juga memahami prinsip kerja komputer serta potensinya dalam berbagai bidang.Pengenalan hardware komputer mencakup pemahaman tentang komponen utama seperti prosesor, memori (RAM), hard drive, motherboard, serta perangkat input dan output. Sementara itu, pemahaman tentang software meliputi sistem operasi, aplikasi produktivitas, serta perangkat lunak pendukung pembelajaran. Untuk meningkatkan efektivitas pembelajaran, diperlukan metode interaktif seperti demonstrasi langsung, penggunaan media pembelajaran digital, serta praktik laboratorium komputer. Dengan kombinasi teori dan praktik, siswa dapat memahami bagaimana komputer bekerja dan bagaimana menggunakannya secara efektif. Urgensi pengabdian ini terletak pada kebutuhan peningkatan wawasan teknologi bagi siswa agar mereka memiliki keterampilan digital yang memadai untuk menghadapi perkembangan teknologi yang semakin pesat. Oleh karena itu, hasil pengabdian ini akan dipublikasikan dalam jurnal terakreditasi SINTA 5 serta disebarluaskan melalui media massa, seperti jurnal berbasis teknologi. bertujuan untuk memperluas dampak pengabdian, sehingga dapat memberikan manfaat yang lebih luas bagi dunia pendidikan dan masyarakat. Dengan demikian, pengabdian ini diharapkan dapat menjadi referensi dalam pengembangan metode pembelajaran berbasis teknologi serta membantu meningkatkan wawasan teknologi siswa agar lebih siap menghadapi tantangan digital di masa depan. Kata kunci: Hardware Komputer; Software Komputer; WawasanTeknologi; Siswa
ANALISIS FAKTOR PREDIKSI DIAGNOSA TINGKAT SERANGAN JANTUNG MENGGUNAKAN METODE REGRESSION Sembiring, Muhammad Ardiansyah
JURNAL TEKNISI Vol 4, No 1 (2024): February 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v4i1.1800

Abstract

Abstract: Heart disease, which is also known as cardiovascular, is a variety of conditions where there is narrowing or blockage of the blood vessels which can cause heart attacks, chest pain, stroke. Heart disease can occur in anyone of any age, gender, occupation, and lifestyle. In addition, heart disease cannot be cured. This condition requires careful treatment and monitoring throughout life. When this treatment fails, sufferers have to undergo surgical operations which are quite expensive and complicated. A report from WHO in September 2009 stated that this disease was the first cause of death to date. In 2004, an estimated 17.1 million people died from heart disease. This figure represents 29% of global causes of death, with details of 7.2 million people dying from heart disease and 5.7 million people dying from stroke. This can be prevented by reducing risk factors. The role of information technology can be realized by data retrieval techniques. research to shorten the time and selection of factors for early detection of heart attacks.Keywords: heart; regression; information Technology  Abstrak: Penyakit jantung atau heart disease , yang juga dikenal dengan istilah kardiovaskuler adalah berbagai kondisi dimana terjadi penyempitan atau penyumbataan pembuluh darah yang dapat menyebabkan serangan jantung ,nyeri dada,stroke, Penyakit jantung dapat terjadi oleh siapapun disegala usia , jenis kelamin, pekerjaan , dan gaya hidup. Selain itu penyakit jantung tidak dapat disembuhkan .Kondisi ini membutuhkan pengobataan dan pemantauan hati-hati sepanjang hidupnya. Ketika pengobataan ini gagal , penderita harus melakukan operasi bedah yang cukup mahal dan rumit . Laporan dari WHO September 2009, menyebutkan bahwa penyakit tersebut merupakan penyebab kematian pertama sampai saat ini. Pada 2004, diperkirakan 17,1 juta orang meninggal karena Penyakit Jntung . Angka ini merupakan 29% dari penyebab kematian global, dengan perincian 7,2 juta meninggal karena penyakit jantung dan 5,7 juta orang meninggal karena stroke.Hal inni dapat dicegah dengan menggurangi factor- factor resiko .Peran teknologi informasi dapat diwujudkan dengan teknik mencari data riseet untuk mempersingkat waktu dan pemilihan fakto-faktor pendeteksi dini serangan jantung .Kata kunci: jantung; regresi; teknologi informasi
PENERAPAN METODE DOUBLE EXPONENTIAL SMOOTHING UNTUK MERAMALKAN ANGKA PENGANGGURAN Dari, Lisa Wulan; Syah, Arridha Zikrah; Sembiring, Muhammad Ardiansyah
JURNAL TEKNISI Vol 1, No 2 (2021): Agustus 2021
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (779.096 KB) | DOI: 10.54314/teknisi.v1i2.703

Abstract

Jumlah pengangguran yang tinggi dapat menghambat proses pembangunan ekonomi, sehingga diperlukan sistem peramalan untuk mengetahui jumlah pengangguran di Asahan yang berpengaruh terhadap kebijakan pemerintah dalam pengambilan keputusan sebelum terjadinya peningkatan jumlah pengangguran. Peramalan pengangguran ini berdasarkan data aktual dalam kurun waktu 12 tahun menggunakan metode Double Exponential Smoothing (DES). Metode akurasi peramalan yang digunakan dalam peramalan pengangguran ini adalah Mean Absolute Percentage Error (MAPE) untuk menghitung persentase error pada nilai alpha. Hasil peramalan terbaik untuk data pengangguran terdapat pada nilai alpha 0,4 nilai MAPE sebesar 6,22%, sehingga jumlah  pengangguran  sebesar 6,22% untuk tahun 2021 dengan total pengangguran 22909,72 hasil perhitungan sebesar 22909,72 ± 6.22% = 22909,72 ± 1424,98. Dengan range prediksi 21484,74 – 24334,7.
PENGEMBANGAN PERMAINAN EDUKATIF ULAR TANGGA ALJABAR SEBAGAI STRATEGI ALTERNATIF PEMBELAJARAN MATEMATIKA SEKOLAH DASAR Sibuea, Mustika Fitri Larasati; Sembiring, Muhammad Ardiansyah; Adinda, Fitrah
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4379

Abstract

Penelitian ini bertujuan untuk mengembangkan media pembelajaran ular tangga pada materi operasi hitung aljabar untuk siswa kelas III sekolah dasar dan mengetahui keefektifan rata-rata hasil belajar pada ujicoba terbatas. Penelitian ini merupakan penelitian pengembangan (Research and Development) menurut Borg dan Gall namun dibatasi sampai uji coba produk terbatas. Subjek dalam penelitian ini adalah 59 siswa kelas III SD Tamansiswa Sukadamai dan SDN 014682 Perhutaan Silau.Teknik pengumpulan data menggunakan metode observasi, wawancara, angket dan dokumentasi dengan teknik analisis data berupa deskriptif kuantitatif dan deskriptif kualitatif. Hasil pengembangan ini berupa media pembelajaran ular tangga aljabar dengan hasil penilaian akhir dari ahli media sebesar 92% termasuk kategori sangat baik dan hasil penilaian akhir dari ahli materi sebesar 90% termasuk kategori sangat baik. Hasil tes evaluasi siswa rata-rata sebesar 87,51. Hasil analisis tangggapan siswa terhadap media sebesar 93,52% dan pada angket keberterimaan media oleh guru sebesar 91%. Hal ini menunjukan bahwa media telah dinyatakan valid dan layak digunakan dalam pembelajaran di sekolah dasar.  Kata Kunci: Pengembangan, Media Pembelajaran, Ular Tangga Aljabar 
ANALISIS PERFORMANCE MODEL PREDIKSI HARGA JUAL MOBIL BEKAS MENGGUNAKAN MACHINE LEARNING Sembiring, Muhammad Ardiansyah; Sibuea, Mustika Fitri Larasati; elfina, Novita
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4378

Abstract

Abstract: Cars are a very popular four-wheeled means of transportation today, so that many consumers or buyers are interested in buying new or used cars depending on their respective economies. One factor that influences consumer interest in buying a car is price. Price greatly influences the sustainability of consumers in buying a car. It is necessary to estimate the estimated price of a used car based on criteria such as mileage, taxes, fuel consumption, and engine capacity. Estimation using regression method where in regression method there are 7 more methods including (1) Linear Regression, (2) Support Vector Regression – Linear, (3) Support Vector Regression – RBF, (4) Decision Tree Regression, (5) Random Forest Regressor, (6) Gradient Boosting Regression, (7) NLP Regressor applied in this research. Based on the 7 regression methods, the best method with the best accuracy value will be sought which will be used in the deployment processing process to determine the price of used cars with a ratio of 90:10, 80:20 and 70:30 producing the best estimated value is decision tree regression. Each method has a high level of accuracy including in the 90:10 ratio decision tree regression as the best method in the ratio has an accuracy level of 99%, and in the 80:20 ratio decision tree regression has an accuracy value of 99%, then the 70:30 ratio decision tree regression again becomes the best method with an accuracy level of 99%. Keyword: Machine Learning; Used Car Price Prediction; Regression; Performance Model Abstrak: Mobil merupakan sebuah alat transportasi kendaraan roda empat yang sangat populer saat ini, sehingga banyak sekali minat konsumen atau pembeli yang ingin membeli mobil baru maupun bekas tergantung dari ekonomi nya masing-masing Salah satu yang mempengaruhi minat konsumen dalam membeli mobil yaitu harga. Harga sangat berpengaruh dalam keberlangsungan konsumen dalam membeli suatu mobil Perlunya upaya estimasi untuk mengetahui perkiraan harga mobil bekas dengan berdasarkan kriteria seperti jarak tempuh, pajak, konsumsi bahan bakar, serta kapasitas mesin. Estimasi menggunakan metode regresi dimana dalam metode regresi terdapat 7 metode lagi meliputi (1) Linear Regression, (2) Support Vector Regression – Linear, (3) Support Vector Regression – RBF, (4) Decision Tree Regression, (5) Random Forest Regressor, (6) Gradient Boosting Regression, (7) NLP Regressor yang diterapkan dalam penelitian ini. Berdasarkan 7 metode regresi tersebut akan dicari 1 metode terbaik dengan nilai akurasi paling terbaik yang akan digunakan dalam proses pengolahan deploy untuk menentukan harga mobil bekas dengan rasio yaitu 90:10, 80:20 dan 70:30 menghasilkan nilai estimasi terbaik adalah decision tree regression. Masing – masing metode memiliki tingkat akurasi yang tinggi diantaranya dalam rasio 90:10 decision tree regression sebagai metode terbaik dalam rasio tersebut memiliki tingkat akurasi sebesar 99%, dan pada rasio 80:20 decision tree regression tersebut memiliki nilai akurasi sebesar 99%, selanjutnya rasio 70:30 decision tree regression kembali menjadi metode terbaik dengan tingkat akurasi sebesar 99%. Kata kunci: Machine Learning; Prediksi Harga Mobil Bekas; Regresi; Performance Model
Implementation of Web GIS in Visualizing Certified Pharmacies Mapping by DPM PTSP in Kisaran Area Aprianto, Muhammad Sura; Sembiring, Muhammad Ardiansyah; Marpaung, Nasrun
Electronic Journal of Education, Social Economics and Technology Vol 6, No 1 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i1.471

Abstract

The advancement of information technology has enabled the utilization of Geographic Information Systems (GIS) in various fields, including healthcare services. This study aims to implement Web GIS for visualizing the mapping of certified pharmacies in the Kisaran area to provide easy access to information for the public and relevant stakeholders. The system is developed using web-based technology with PHP and MySQL to manage spatial data and pharmacy attributes. The results show that the developed Web GIS system can display location information, certification status, and pharmacy details interactively through a digital map. With this system, the public can easily identify certified pharmacies, thereby enhancing the safety and quality of healthcare services. Additionally, the implementation of this Web GIS assists the Investment and One-Stop Integrated Service Agency (DPM PTSP) in monitoring and managing pharmacy data more efficiently and transparently. The system also features a user-friendly interface that supports search and filter functionalities to improve user interaction. Data presented in real-time further improves the reliability of information accessed by users. Furthermore, this Web GIS solution contributes to spatial-based decision making, enabling authorities to conduct targeted inspections, identify underserved areas, and plan the development of new pharmacies based on geographic distribution. The integration of spatial data with pharmacy certification records also supports transparency and accountability in public health service management. In conclusion, this research demonstrates the potential of Web GIS as an effective tool for improving access to reliable health service information and enhancing the operational performance of relevant governmental institutions.
WEB GIS for Mapping the Locations of Licensed Midwifery Practices in the Asahan Region Kalsum, Ummi; Sembiring, Muhammad Ardiansyah; Rohminatin, Rohminatin
Electronic Journal of Education, Social Economics and Technology Vol 6, No 1 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i1.484

Abstract

The advancement of digital technology has significantly impacted the healthcare sector, offering innovative ways to improve service accessibility and quality. One such advancement is the use of Geographic Information Systems (GIS), which enables the integration and visualization of spatial and non-spatial data. This research focuses on the development of a Web GIS platform designed to map the locations of licensed midwifery practices in Asahan Regency. The primary goal is to provide the public with easier access to valid health service information and to assist local authorities in monitoring and managing these services more efficiently. The system was developed using PHP (CodeIgniter framework), MySQL for data storage, and Leaflet for interactive mapping functionalities. Using a qualitative research methodology, data were collected through observation, interviews with relevant stakeholders, and literature review. The system displays midwife practice locations along with critical attributes such as licensing information, service types, and operational hours. It also features user interaction capabilities through a review and feedback mechanism. The innovation presented in this study lies in the integration of legality data into a public-facing, interactive spatial information platform—an aspect rarely addressed in existing health GIS applications in Indonesia. Testing demonstrated that the system meets functional requirements, ensures ease of use, and delivers accurate, real-time information. The developed system offers a replicable model that can be applied in other regions to support transparent and informed decision-making in maternal healthcare services.
Development of a WebGIS-Based System for Mapping Priority Investment Areas in MSME Development at DPMPTSP Asahan Regency Pradipa, Naila Hanni; Sembiring, Muhammad Ardiansyah; Rohminatin, Rohminatin
Electronic Journal of Education, Social Economics and Technology Vol 6, No 1 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i1.466

Abstract

Regional development is greatly aided by investment, especially when it comes to Micro, Small, and Medium-Sized Enterprises (MSMEs). At DPMPTSP Asahan, investment data has traditionally been managed using static spreadsheets, making it difficult for new investors to understand regional potential, especially when they are unfamiliar with the area. This study employs a qualitative approach through observation, interviews, and document analysis. The resulting system uses OSS-RBA data with interactive maps and filtering tools that enable users to explore MSME distributions by sector and location. Developed using PHP, CodeIgniter, and Leaflet.js, the WebGIS system facilitates intuitive access to business legality information, administrative boundaries, and geospatial insights. The system improves communication between DPMPTSP officers and investors by allowing spatial-based explanations that replace conventional tabular presentations. Investors can better grasp economic zones, accessibility, and sectoral opportunities through map-based exploration. These features are especially useful in early investment decision-making stages. Unlike prior systems that lack interactivity and licensing data integration, this system bridges that gap with investor-friendly features and a modular architecture. The WebGIS platform enhances service delivery, increases transparency, and supports data-driven policymaking in investment promotion. It serves as a scalable model for other regional governments seeking to digitize and spatially enhance investment-related information systems.
ANALISA KINERJA MODEL REGRESI DALAM MACHINE LEARNING UNTUK MEMPREDIKSI HARGA BERAS Sembiring, Muhammad Ardiansyah; Sembiring, Febby Wulandari
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 8 No 1 (2024)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v8i1.3902

Abstract

Sektor perdagangan saat ini mengalami kenaikan atau penurunan harga yang sangat signifikan. Hal ini menyebabkan beras menjadi salah satu faktor penunjang keberlangsungan hidup masyarakat. Kenaikan harga beras dapat mengakibatkan penurunan daya beli masyarakat terhadap kebutuhan lainnya. Sehingga untuk mengantisipasi adanya kenaikan harga beras dilakukannya prediksi menggunakan machine learning dengan menggunakan perbandingan 7 metode. Tujuan penelitian ini adalah untuk menganalisa kinerja model-model regresi terbaik dalam machine learning yang dapat digunakan untuk memprediksi harga beras. Nantinya akan diperoleh metode manakah yang menghasilkan nilai akurasi yang paling akurat dalam memprediksi harga beras. Estimasi menggunakan metode regresi dimana dalam metode regresi terdapat 7 metode lagi meliputi (1) Linear Regression, (2) Support Vector Regression Linear, (3) Support Vector Regression RBF, (4) Decision Tree Regression, (5) Random Forest Regressor, (6) Gradient Boosting Regression, (7) MLP Regressor. Adapun model terbaik yang dari hasil analisa penelitian ini yaitu metode Decision Tree Regression dengan pengujian akurasi model yaitu paa rasio pengujian data 80:20 sebesar 100%, 100% pada rasio pengujian data 70:30 dan pada rasio 60:40 adalah 100%.
Factors Analysis And Profit Achievement For Trading Company By Using Rough Set Method Sembiring, Muhammad Ardiansyah; Azhar, Zulfi
International Journal of Artificial Intelligence Research Vol 1, No 1 (2017): June 2017
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (488.668 KB) | DOI: 10.29099/ijair.v1i1.15

Abstract

This research has been done to analysis the financial raport fortrading company and it is  intimately  related  to  some  factors  which  determine  the profit of company. The result of this reseach is showed about  New Knowledge and perform of the rule. In  discussion, by followed data mining process and using Rough Set method. Rough Set is to analyzed the performance of the result. This  reseach will be assist to the manager of company with draw the intactandobjective. Rough set method is also to difined  the rule of discovery process and started the formation about Decision System, Equivalence Class, Discernibility Matrix,  Discernibility Matrix Modulo D, Reduction and General Rules. Rough set method is efective model about the performing analysis in the company. Keywords : Data Mining, General Rules, Profit,. Rough Set.
Co-Authors Adinda, Fitrah Agus, Raja Tama Andri Akmal Akmal Amalia Andhini Asri Awaliyah Arifin Andika Nanda Manurung Andrean, Stefhany Andrew Ramadhani Aprianto, Muhammad Sura Arridha Zikra Syah Bachtiar Efendi Balqis, Nur Chitra, Latiffani Cici Santika Putri Dari, Lisa Wulan Dedi Setiawan Dedi Setiawan Dina Pertiwi elfina, Novita Fahriza Khoirani Febby Madonna Yuma Firdha Agis Utami Batu Bara Hazrina, Umi Indah Hommy Dorthy Ellyany Sinaga Iin Almeina Ika Rahmanda Sitorus Ishak Ishak Ishak Ishak Julita, Rina Lubis, Iin Almeina Manurung, Silpany Mardalius Marhama, Siti Marpaung, Nasrun Maysaroh, Maysaroh Mhd Istaufa Arif Sinaga Muhammad Iqbal Muhammad Istaufa Arib Sinaga Mustika Fitri L Sibuea Mustika Fitri Larasati Sibuea Nurhamidah Nurhamidah Nurhasanah Nurhasanah Nuriadi Manurung panjaitan, widia fahwana br Pradipa, Naila Hanni PuspitaSari, Dinda Tri Putra, Andriansyah Rahayu, Elly Raja Tama Andri Agus Ramadhani, Andrew Ricki Ananda Rizky Ardiansyah Rohminatin Rohminatin Rohminatin, Rohminatin Sapta, Andy Sastria Sandy Utama Selvi, Diana Sembiring, Febby Wulandari Sena, Maulana Dwi Siregar, Sindi Fatika Sari Siti Ramadani Sri Rezki Maulina Azmi Sri Wahyuni Sudarmin Sudarmin Sulistiani, Indah Ummi Kalsum Wiwin Handoko Yessica Siagian Yunita