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All Journal International Journal of Advances in Applied Sciences Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Informatika Prosiding Semnastek Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA INTECOMS: Journal of Information Technology and Computer Science Zero : Jurnal Sains, Matematika, dan Terapan KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknik dan Informatika Jurnal Elektro dan Telkomunikasi Journal of Computer System and Informatics (JoSYC) Journal of Computer Networks, Architecture and High Performance Computing RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Bulletin of Computer Science Research Jurnal Info Sains : Informatika dan Sains Bulletin of Information Technology (BIT) Jurnal Minfo Polgan (JMP) TECHSI - Jurnal Teknik Informatika Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Nasional Teknologi Komputer Jurnal Pengabdian Masyarakat Gemilang (JPMG) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Pengabdian Masyarakat International Journal of Industrial Innovation and Mechanical Engineering International Journal of Computer Technology and Science Bulletin of Engineering Science, Technology and Industry Jurnal Bisantara Informatika Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Andysah Putera Utama Siahaan
Universitas Pembangunan Panca Budi
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COMPARATIVE ANALYSIS OF NAIVE BAYES ALGORITHM AND C4.5 ALGORITHM IN SELECTING TYPES OF UMKM PRODUCTS IN BBPSDMP KOMINFO MEDAN TRAINING Alex Siregar; Leni Marlina; Khairul; Muhammad Iqbal; Andysah Putera Utama Siahaan
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i3.64

Abstract

This study compares the accuracy of the Naïve Bayes and C4.5 algorithms in determining the most suitable product types for Micro, Small, and Medium Enterprises (MSMEs) participating in the Digital Entrepreneurship Academy (DEA) training program at BBPSDMP Kominfo Medan. This study uses a dataset from DEA participants between 2021 and 2022. The analysis shows that the C4.5 algorithm has a higher accuracy compared to Naïve Bayes, indicating its better effectiveness in helping MSMEs choose product types. These findings suggest that C4.5 is more suitable for applications that require a high level of accuracy, especially in the context of this study. This study provides valuable insights into the selection of algorithms to support decision making in the MSME sector.
ANALISIS PERBANDINGAN METODE DOUBLE EXPONENTIAL SMOOTHING DAN DOUBLE MOVING AVERAGE PADA KASUS PERAMALAN PENJUALAN KOPI BUBUK DI LOPO MANDHELING COFFEE Siahaan, Andysah Putera Utama; Rabe, Siska Mayasari; Asyifa, Nathania; Datin, Maha Valne; Syahri, Rahma; Rambe, Rezkinah
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.v8i3.4199

Abstract

Abstract: This study aims to compare the accuracy between time series forecasting methods, namely Double Exponential Smoothing (DES) and Double Moving Average (DMA), in forecasting ground coffee sales at Lopo Mandheling Coffee, an MSME in the beverage sector. The sales data used is monthly data from January 2024 to March 2025. The analysis was carried out by calculating the accuracy of each method using the MAPE, MAD, and MSE indicators. The results show that the DMA method provides more accurate forecasting results than the DES method for both types of coffee (Specialty and Premium). DMA has lower MAPE, MAD, and MSE values, so it is more recommended for use in sales forecasting in this MSME. This study provides a practical contribution for MSME actors in improving operational efficiency through a data-driven forecasting approach.Keyword: Sales forecasting; double exponential smoothing; double moving average; ground coffee; MSMEAbstrak: Penelitian ini bertujuan sebagai perbandingan akurasi antara metode peramalan deret waktu, yaitu Dpuble Exponential Smoothing (DES) dan Double Moving Avarega (DMA), dalam meramalkan penjualan kopi bubuk di Lopo Mandheling Coffee, sebuah UMKM di sektor minuman. Data penjulan yang digunakan merupakan data bulanan dari Januari 2024 hingga Maret 2025. Analisis dilakukan dengan menghitung akurasi masing-masing metode menggunakan indikator MAPE, MAD, dan MSE. Hasil penelitian menunjukkan bahwa metode DMA memberikan hasil peramalan yang lebih akurat dibandingkan metode DES untuk kedua jenis kopi (Specialty dan Premium). DMA memiliki nilai MAPE, MAD, dan MSE yang lebih rendah, sehingga lebih direkomendasikan untuk digunakan dalam peramalan penjualan pada UMKM ini. Penelitian ini memberikan kontribusi praktis bagi pelaku UMKM dalam meningkatkan efisiensi operasional melalui pendekatan peramalan berbasis data.Kata kunci: Peralaman penjualan; double exponential smoothing; double moving average; kopi bubuk; UMKM
RANCANG BANGUN SISTEM PEMINJAMAN DAN PENGEMBALIAN BUKU DI SMK SWASTA SWAKARYA BINJAI Hasibuan, Peronika Br; Hariyanto, Eko; Siahaan, Andysah Putera Utama
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.v8i3.4250

Abstract

Abstract: In today's era of globalization, information technology plays a very important role in processing data and transforming it into accurate information. SMK Swasta Swakarya Binjai currently faces several recurring problems. Until now, the recording of book loans and returns has been done manually, which has made it difficult to retrieve information. The current system for recording book collections, member data, borrowing, returning, and fines is still done by writing in a ledger, which is felt to be ineffective and inefficient for library management. This makes it difficult for library members to find the books they want to read and complicates the process for staff to update the existing book data. This issue serves as the basis for developing a research system for book borrowing and return processes. The objective is to create an application for book borrowing and return processes. It is hoped that the developed application will successfully address the existing issues and facilitate both library members and administrators in conducting book borrowing and return processes at the library. Keywords: System, Borrowing, Returning, Books, Library Abstrak: Pada era globalisasi saat ini, teknologi sistem informasi mempunyai peranan sangat penting dalam mengolah data, memproses data, dan mengubah data untuk mendapatkan informasi yang akurat. SMK Swasta Swakarya Binjai, untuk saat ini menghadapi beberapa permasalahan yang sering bulang kali terjadi. Selama ini, pencatatan untuk peminjaman dan pengembalian buku dilakukan secara manual, yang mengakibatkan kesulitan dalam temu-balik informasi. Sistem yang ada saat ini untuk sistem pencatatan koleksi buku, data anggota, peminjaman, pengembalian, dan denda masih dilakukan dengan menulis pada buku besar hal ini dirasakan kurang efektif dan efisien untuk pengelolaan perpustakaan. Hal ini menyebabkan anggota perpustakaan kesulitan dalam mencari buku yang ingin mereka baca serta mempersulit petugas dalam meng-update data buku yang ada sekarang. Permasalahan ini yang menjadi dasar untuk membuat penelitian sistem peminjaman dan pengembalian buku. Tujuannya adalah untuk membuat sebuah aplikasi sistem peminjaman dan pengembalian buku. Diharapakan aplikasi yang dibuat berhasil mengatasi permasalahan yang terjadi dan dapat memudahkan pihak anggota dan pengelolah perpustakaan dalam melakukan peminjaman dan pengembalian buku perpustakaan. Kata kunci: Sistem, Peminjaman, Pengembalian, Buku, Perpustakaan
Implementasi dan Pemasyarakatan Portal Akademik Berbasis Web di SD Negeri 060878 Sebagai Pendukung Efisiensi Layanan Pembelajaran untuk Admin, Guru, dan Siswa Siahaan, Andysah Putera Utama; Hafizhah Sufina Azzahra
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 4 No 2 (2025): Oktober 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v4i2.666

Abstract

This community service activity was carried out at one of the partner schools with the aim of introducing and socializing the school academic portal as a digital platform for managing academic and administrative data. During this program, teachers and school staff were trained on how to use the portal, including login procedures, student data management, grading, and online academic reporting. The implementation methods included presentations, live demonstrations, and interactive Q&A sessions. This activity also served as a collaboration between the school and students of Universitas Pembangunan Panca Budi in applying information technology to the education sector. The results showed an increased understanding and interest among school staff in adopting a web-based academic information system to enhance the effectiveness and efficiency of school administration processes.
Decision Suport System Penentuan Keikutsertaan Dalam Tender Pekerjaan Konstruksi Dengan Metode WASPAS Wahyudi, Eko; Fawaz, Muhammad Ayyas; Iqbal, Muhammad; Utama Siahaan, Andysah Putera
Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Vol. 6 No. 2 (2023): J-SISKO TECH EDISI JULI
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jsk.v6i2.8478

Abstract

Dalam suatu perusahaan pengadaan barang dan jasa, tidak terlepas dari yang namanya tender. Pada PT. Bumi Balakka Maju Sejahterah sendiri tender merupakan hal yang utama di dalam perusahaannya. Namun sayang proses penentuan keikutsertaan tender masih dilakukan secara manual sehingga pada saat penentuan tender yang akan diikuti tidak memiliki regulasi yang tetap, dan tidak sesuai dengan keadaan perusahaan, maka dari itu pemilihan tender sering mengalami kurangnya efisien dan efektifitasnya. Untuk membantu agar proses pemilihan tender yang lebih baik kedepannya, maka dibutuhkan sebuah Sistem Pendukung Keputusan yang merupakan sistem berbasis komputer sehingga dapat membantu mendukung sebuah keputusan yang dihasilkan melalui dukungan metode WASPAS dengan menentukan nilai terbesar, maka prioritas tender yang paling tinggi akan didapat. Berdasarkan hasil dari penelitian ini, Sistem Pendukung Keputusan berhasil dibangun guna membantu masalah untuk menentukan keikutsertaan tender pada PT.Bumi Balakka Sejahterah. Sehingga tender yang diprioritaskan untuk diajukan sesuai dengan kapabilitas yang dimiliki.
Utilization of Data Analytics to Enhance Operational Efficiency in Manufacturing Companies Aprijal, Rendi; Siregar, Iqbal Wiranata; Siahaan, Andysah Putera Utama; Marlina, Leni
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 2 (2024): Articles Research Volume 6 Issue 2, April 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i2.3723

Abstract

In the digital era, manufacturing industries confront challenges like heightened global competition and intricate production processes, urging them to boost efficiency and productivity. Amidst these circumstances, Big Data emerges as a pivotal opportunity to enhance manufacturing performance. Big Data, characterized by vast volumes of data, utilizes advanced data mining to machine learning techniques for analysis. Data analytics, an interdisciplinary field, profoundly impacts manufacturing operations, enabling deeper insights into production processes. By analyzing production data, companies identify inefficiencies, streamline workflows, and enhance operational efficiency and productivity. Predictive maintenance through sensor data analysis prevents machine failures, while logistics data analysis optimizes supply chains and inventory management, reducing costs and enhancing competitiveness. However, implementing Big Data analytics presents challenges such as rapid data growth, diverse data sources, real-time insights, skill shortages, and data fragmentation. Overcoming these hurdles requires robust technology, skilled personnel, and effective data management strategies. Examples of Big Data analytics applications include customer behavior analysis by Amazon and Netflix, fraud detection in insurance, and urban mobility optimization. Success factors in data analytics implementation include effective data-driven communication, technology integration, and skill enhancement. In conclusion, implementing Big Data Analytics in manufacturing promises significant benefits in operational efficiency, product quality, and competitiveness. Overcoming challenges necessitates robust strategies and consideration of ethical and security issues, ensuring responsible data usage. With a deep understanding of Big Data Analytics, manufacturing companies can leverage this technology to achieve higher efficiency and competitiveness in the global market.
Perbandingan Algoritma Linear Regression dan Random Forest Dalam Menganalisis Hubungan Perilaku Antara Kesehatan Mental dan Media Sosial Andysah Putera Utama Siahaan; Andreas Ghanneson Nainggolan; Khairil Putra; Natalia Nahampun; Dina Marsauli Sibarani
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 4 No. 6 (2025): EDISI NOVEMBER 2025
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v4i6.12327

Abstract

Media sosial saat ini banyak memiliki peranan yang sangat penting bagi masyarakat kita, banyak berbagai hal kegiatan yang dilakukan seperti pertukaran informasi maupun mencari informasi dinilai lebih mudah, cepat dan efektif. Media sosial berkembang sangat pesat pada awal 2000 -an saat pertama kali diperkenalkan. platform yang muncul pada saat itu ialah MySpace dan Friendster. Pada saat ini media sosial menjadi bagian dalam kehidupan sehari-hari yang tak terpisahkan. WhatsApp, Instagram, TikTok dan YouTube adalah contoh media sosial yang popular banyak digunakan jutaan orang di Indonesia, Kesehatan mental pada remaja sangat perlu diperhatian karena ada beberapa penelitian yang menemukan permasalahan terhadap kesehatan mental, dalam penelitian National Adolescent Mental Health Survey pada tahun 2022 menyatakan bahwa 1 dari 30 remaja atau 34.9% di Indonesia memiliki 1 masalah dalam kesehatan mental pada 12 bulan terakhir dan 1 dari 20 remaja atu 5.5% memiliki 1 gangguan mental pada 12 bulan terakhir. Gangguan mental yang dialami ialah kecemasan depresi, dan rendahnya harga diri, kecemasan salah satu yang paling banyak dialami oleh remaja di Indonesia baik laki-laki maupun perempuan. Hasil menunjukan Algoritma Random Fores menghasilkan nilai 63% dan Algoritma Regresi Linier 61%, dari hasil tersebut tingkat akurasi Random Fores lebih tinggi dari pada Regresi Linier.
Enhancing the Hill Cipher with a Three-Pass Protocol Approach Siahaan, Andysah Putera Utama; Binti Saari, Erni Marlina; Hassan, Moustafa Hussein Ali; A. Khalid, Noor Aldeen; Pane, Muhammad Akbar Syahbana
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.5

Abstract

This paper presents the design and implementation of a cryptographic scheme that combines the Hill Cipher algorithm with the Three-Pass Protocol (TPP) using mod-256 arithmetic. The objective is to provide a secure communication mechanism without direct key exchange while adapting a classical cipher to modern digital contexts. The system employs a 2×2 key matrix where plaintext characters are mapped to their ASCII values, grouped into vectors, and transformed through matrix multiplication followed by modulo reduction. The TPP structure allows both sender and receiver to apply their private keys independently, producing layered ciphertexts before the final recovery of the plaintext. A prototype application was developed using Microsoft Visual Studio 2010 (Visual Basic) to validate the approach. The program includes input fields for plaintext, ciphertext at each stage, key matrices, and a log box that records the detailed matrix operations for transparency. Experimental results demonstrate that the original plaintext can be accurately restored after multiple encryption and decryption phases, while the intermediate ciphertexts remain random and unintelligible. The findings confirm that integrating Hill Cipher with the Three-Pass Protocol strengthens confidentiality and eliminates the need for key distribution. Beyond its security benefits, the prototype also serves as an educational tool, helping students and practitioners understand both matrix-based encryption and keyless secure communication protocols.
Assessing the Capability of E-Attendance Systems in Local Government Institutions Using COBIT 2019: A Case from Indonesia Siahaan, Andysah Putera Utama; Barus, Efriansyah Putra Bahari; Hasanuddin, Muhammad; Zulfan, Zulfan; Rizaldi, Fakhri
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.831

Abstract

This research evaluates the capability level of the E-Attendance system at the General Bureau of the Regional Secretariat of North Sumatra Province using the COBIT 2019 framework. A mixed-method approach was employed, integrating document analysis, interviews, questionnaires, and system log reviews to assess four key governance and management objectives: DSS06 (Manage Business Process Controls), APO13 (Managed Security), APO14 (Managed Data), and MEA01 (Performance and Conformance Monitoring). The results indicate that the current capability levels range between Level 1 (Performed) and Level 2 (Managed), reflecting partially implemented and inconsistently standardized governance practices. Based on organizational policies, regulatory requirements, and operational needs, the target capability level for all assessed domains is defined at Level 3 (Established), where processes are formally documented, standardized, and consistently implemented across organizational units. The gap analysis reveals deficiencies in data governance structures, security control enforcement, and performance monitoring mechanisms. Nevertheless, the findings demonstrate that improvements in process capability significantly enhance data quality dimensions, including completeness, accuracy, consistency, and timeliness. This study contributes to public sector IT governance literature by providing an evidence-based COBIT 2019 capability assessment and proposing a structured improvement roadmap to achieve the defined target capability level and strengthen digital governance maturity.
Perancangan Peningkatan Tata Kelola Ti Kliping Digital di Instansi Pemerintahan Menggunakan Pendekatan Manajemen Informasi Siahaan, Andysah Putera Utama; Barus, Efriansyah Putra Bahari; Hasanuddin, Muhammad; Zulfan; Rizaldi, Fakhri
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.762

Abstract

Transformasi digital dalam sektor pemerintahan menuntut tersedianya tata kelola teknologi informasi (TI) yang efektif untuk mendukung strategi pengelolaan informasi dan pengambilan keputusan berbasis data. Salah satu layanan informasi yang memiliki peran penting adalah sistem kliping digital, yang berfungsi sebagai sarana pemantauan pemberitaan media dan opini publik. Namun pemanfaatan sistem kliping digital di instansi pemerintah sering kali belum didukung oleh tata kelola TI yang matang dan terstandarisasi. Penelitian ini bertujuan untuk menyoroti tingkat kapabilitas tata kelola TI pada sistem kliping digital di lingkungan instansi pemerintah menggunakan kerangka COBIT 2019, dengan fokus pada domain APO01 (Manage the IT Management Framework), APO11 (Manage Quality), dan APO14 (Manage Data). Penelitian ini menggunakan pendekatan kuantitatif dengan desain deskriptif-korelasional. Data primer dikumpulkan melalui survei menggunakan kuesioner Skala Likert yang disusun berdasarkan praktik-praktik COBIT 2019 dan disebarkan kepada pegawai yang terlibat langsung dalam pengelolaan kliping digital. Analisis data dilakukan melalui pengukuran tingkat kemampuan dan analisis gap antara tingkat kapabilitas aktual dan tingkat kapabilitas yang diharapkan. Hasil penelitian menunjukkan bahwa domain ketiga COBIT 2019 berada pada tingkat kapabilitas Level 2 (Managed), dengan nilai rata-rata masing-masing sebesar APO01 = 2,54, APO11 = 2,47, dan APO14 = 2,51, sementara tingkat kapabilitas yang diharapkan adalah Level 3 (Established). Temuan ini mengindikasikan adanya kesenjangan tata kelola TI yang perlu ditangani, terutama pada aspek kerangka tata kelola, manajemen kualitas layanan, dan pengelolaan data kliping digital. Penelitian ini memberikan kontribusi teoritis dalam pengembangan kajian tata kelola TI berbasis COBIT 2019 serta kontribusi praktis bagi instansi pemerintah dalam merancang strategi peningkatan tata kelola TI guna mendukung efektivitas dan kelangkaan layanan kliping digital.
Co-Authors . Zulfan A. Khalid, Noor Aldeen Abda Abda Afandi Syahputra Alex Siregar Alfiandi, Alfiandi Andreas Ghanneson Nainggolan Anwar, Dede Utari Anzas, Anzas Ibezato Zalukhu Aprijal, Rendi Arahman Harahap Arif Rahman Asyifa, Nathania Aulia, Popi Aulia, Wina Ayu, Ayu Ofta Sari Azizah Harahap, Nur Baehaqi Bambang, Bambang Sugito Barus, Efriansyah Putra Bahari beckham pratama, arya Binti Saari, Erni Marlina Chairul Indra Angkat Darmeli Nasution Datin, Maha Valne Dewi Sartika Didi Riswan Dika, Dika Dina Marsauli Sibarani Efendi, Syahril Ehkan, Phaklen Eko Hariyanto Eko Hariyanto EKO WAHYUDI Farta wijaya, Rian Fawaz, Muhammad Ayyas Fawaz, Muhammad Ayyasi Ghanneson Nainggolan, Andreas Hafizhah Sufina Azzahra Hasibuan, Peronika Br Hassan, Moustafa Hussein Ali Hendra Harnanda Hermansyah Hermansyah Hermawan, Bagus Ibrahim Ibrahim Imam Solihin Iqbal Wiranata Siregar Iqbal Wiranata Siregar, Jimmy Izhari, Fahmi Juliyandri Saragih Kariyani Khairil Putra Khairul Khairul , Khairul Khairul Khairul, Khairul Khairunnisa Kiki Artika Leni Marlina Leni Marlina Leni Marlina Manurung, Monica M Marsauli Sibarani, Dina Melva Sari Panjaitan Mesran, Mesran Muham, Dinda Novita Sari Muhammad Akbar Syahbana Pane Muhammad Hasanuddin, Muhammad Muhammad Indra Muhammad Iqbal Muhammad Irsyad Muhammad Syahputra Novelan Muhammad Wahyudi Muhammad Zarlis Nahampun, Natalia Natalia Nahampun Nurwijayanti Putra, Khairil Rabe, Siska Mayasari Ramatika, Desy Rambe, Rezkinah Rendi Aprijal Rian Farta Wijaya Rizaldi, Fakhri Rizky Rinaldi Simamora, Siska Simorangkir, Elsya Sabrina Asmita Sinyo Andika Nasution, Ahmad Siregar, Iqbal Wiranata Sitepu, Nabila Putri Br Sitorus, Zulham Solihin, Imam Sony Putra Sri Wahyuni Suheri Supiyandi Supiyandi Swandi Dedi Arnold Pardede Syafran Panggabean, Edwin Syahputri, Maulisa Syahri, Rahma Syamsiar, Syamsiar Syamsul Arifin Trisnani, Anis A Ullah, Insaf Utari Wanny, Puspita Wiko Pratama Wina Aulia Wulan Ramadhani Yuni Simanullang, Rahma Zuhri Ramadhan Zulfan Zulham, Zulham Sitorus