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All Journal Jurnal Informatika dan Teknik Elektro Terapan Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIK : Jurnal Teknologi Informasi dan Komputer ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Jurnal Nasional Komputasi dan Teknologi Informasi JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Tunas Journal of Computer Networks, Architecture and High Performance Computing Yayasan Cita Cendikiawan Al Khwarizmi Djtechno: Jurnal Teknologi Informasi Majalah Ilmiah UPI YPTK Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Teknik: Jurnal Ilmu Teknik dan Informatika J-Intech (Journal of Information and Technology) Jurnal Minfo Polgan (JMP) Prosiding Snastikom Jurnal Teknik Informatika INFORMATIKA Jurnal Pengabdian Masyarakat Gemilang (JPMG) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Informatika Progres Prioritas : Jurnal Pengabdian Kepada Masyarakat Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia Deli Sains Informatika JRIIN :Jurnal Riset Informatika dan Inovasi Jurnal Ilmiah Sistem Informasi Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Intelek Insan Cendikia Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Ilmu Komputer dan Informatika Journal of Education Transportation and Business Jurnal Bisnis Digital dan Enterpreneur (BISENTER) MURAKOM
Adidtya Perdana, Adidtya
Universitas Negeri Medan
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Optimasi Alokasi Sumber Daya Bantuan Sosial : Pendekatan Algoritma Greedy dan Analisis Komputasi Maulana Al Nouri; Tia Risky Yasmin Saketang; Repi Meilani Putri; Paskal Arienda Epidonta Ginting; Adidtya Perdana
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 3 (2026): Mei: Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i3.1556

Abstract

The distribution of social assistance in Indonesia faces challenges such as inaccurate recipient data, overlapping programs, and limitations of traditional data management systems that lead to inaccurate targeting of aid. This study proposes a social assistance distribution optimization system using the Greedy algorithm that assesses recipient priorities based on economic conditions, number of family members, location, and urgency of needs with certain weights to produce objective rankings. This system is implemented in a JavaScript-based web application without external frameworks, making it lightweight and easily accessible. Simulations with 20 prospective recipients and a quota of 10 slots and validation with a dataset of 10,000 entries show that the Greedy algorithm produces identical results to Dynamic Programming but is much faster (669 times faster). In terms of complexity, this algorithm has O(n log n) time and O(n) space, and meets the requirements of the Greedy Choice Property and Optimal Substructure, making it a practical and efficient solution for managing large-scale social assistance distribution in Indonesia.
Analisis Komparatif Efisiensi Merge Sort dan Quick Sort Menggunakan Pendekatan Divide and Conquer pada Berbagai Kondisi Data Produk Sistem E-Commerce Gus Rosauli Pandiangan; Naufal Aqiilah Asra; Mohd. Rafiif Albani; Angelica Barus; Adidtya Perdana
MUARA KOMPUTER : Jurnal Ilmiah Ilmu Komputer & Elektronika Vol. 2 No. 2 (2026): MUARA KOMPUTER : Jurnal Ilmiah Ilmu Komputer & Elektronika
Publisher : CV MUARA EDUKASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64365/murakom.v2i2.278

Abstract

Efisiensi pengurutan data produk pada platform belanja daring menjadi faktor penting bagi kepuasan pengguna. Walaupun Merge Sort dan Quick Sort secara teori punya kompleksitas yang sama namun performa realitanya sangat bergantung pada kondisi awal data yang diolah. Penelitian ini membandingkan efisiensi kedua algoritma menggunakan simulasi Python pada skenario data acak, terurut, dan terbalik hingga 100.000 elemen. Hasil pengujian membuktikan Quick Sort lebih unggul pada data acak dengan efisiensi waktu 19,2% karena penggunaan memori yang lebih optimal. Di sisi lain Merge Sort menunjukkan kestabilan tinggi karena tidak terpengaruh oleh pola distribusi data bahkan 42,5% lebih cepat daripada Quick Sort pada kondisi data terurut terbalik. Kesimpulannya Quick Sort paling disarankan untuk pengolahan data acak sedangkan Merge Sort menjadi solusi terbaik jika sistem memerlukan kestabilan performa pada data berskala besar atau memiliki pola tertentu.
Analisis Perbandingan Kompleksitas Waktu dan Ruang pada Algoritma Quick Sort, Merge Sort, dan Heap Sort M. Fahmi Arafat; Nuriana Sipahutar; Adidtya Perdana; Riski Immanuel Situmorang; Raja Ansel Hartama Sihombing
MUARA KOMPUTER : Jurnal Ilmiah Ilmu Komputer & Elektronika Vol. 2 No. 2 (2026): MUARA KOMPUTER : Jurnal Ilmiah Ilmu Komputer & Elektronika
Publisher : CV MUARA EDUKASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64365/murakom.v2i2.281

Abstract

Penelitian ini bertujuan untuk menganalisis dan membandingkan kinerja algoritma pengurutan Quick Sort, Merge Sort, dan Heap Sort berdasarkan waktu eksekusi dan penggunaan memori. Metode yang digunakan adalah pendekatan kuantitatif dengan melakukan pengujian terhadap ketiga algoritma menggunakan dataset dengan variasi ukuran dan kondisi data, yaitu acak, terurut, dan terbalik. Parameter yang diukur meliputi waktu eksekusi yang diperoleh melalui proses eksperimen menggunakan bahasa pemrograman Python, serta analisis penggunaan memori yang dilakukan secara teoritis. Hasil penelitian menunjukkan bahwa waktu eksekusi meningkat seiring dengan bertambahnya jumlah data. Quick Sort memiliki performa yang unggul pada kondisi data terurut dan terbalik, serta tetap kompetitif pada data acak. Merge Sort menunjukkan kestabilan performa dan cenderung lebih optimal pada data acak berukuran besar. Sementara itu, Heap Sort memiliki waktu eksekusi yang relatif lebih tinggi, namun lebih efisien dalam penggunaan memori. Dengan demikian, pemilihan algoritma pengurutan yang optimal perlu mempertimbangkan karakteristik data serta kebutuhan sistem, baik dari segi efisiensi waktu maupun penggunaan memori.
ANALISIS PERFORMA ALGORITMA QUICK SORT DAN MERGE SORT PADA PENGURUTAN DATA BESAR ( BIG DATA )  MENGGUNAKAN NOTASI BIG-O Calvin Syahputra; Syti Salwaa Nafiisah; Shaqila Rahmayani Gultom; Ridho Affandi; Adidtya Perdana
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 6 No. 1 (2026): MEI : JURNAL INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v6i1.1661

Abstract

The rapid development of information technology has led to an exponential increase in data volume, requiring efficient and high-performance sorting algorithms. Sorting is one of the fundamental operations in large-scale data processing. This study aims to analyze the performance of the Quick Sort and Merge Sort algorithms in sorting large datasets based on time complexity using Big-O notation. The research method employed is experimental, by implementing both algorithms on datasets of various sizes, then measuring execution time and analyzing their time complexity under best-case, average-case, and worst-case conditions. The results show that Quick Sort performs faster on average with a time complexity of O(n log n), but its performance can degrade to O(n²) in the worst case. Meanwhile, Merge Sort demonstrates more stable performance with a time complexity of O(n log n) in all cases, although it requires additional memory usage. Based on these findings, the selection of sorting algorithms for large-scale data             should consider data characteristics and memory requirements to achieve optimal performance.
Pengembangan Aplikasi To-DoListKu sebagai Sistem Pengingat Tugas dan Agenda Pribadi Menggunakan Flutter Muhammad Alby Savana Hasibuan; Nazwar Farezi; Fauzan Azima Lubis; Muhammad Raffi Akbar Tanjung; Khairul Fahmi Sagala; Adidtya Perdana
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 6 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i6.9900

Abstract

Abstrak - Perkembangan teknologi informasi di perangkat mobile membuat semakin banyak kebutuhan akan aplikasi yang bisa membantu pengguna mengatur waktu dan kegiatan sehari-hari. Penelitian ini bertujuan membuat aplikasi “To-DoListKu” sebagai alat untuk mengingat tugas dan jadwal pribadi, dengan menggunakan teknologi Flutter. Metode yang digunakan adalah Research and Development (RD) dengan model Waterfall, yang terdiri dari analisis kebutuhan, perancangan, pembuatan, pengujian, dan pemeliharaan. Aplikasi ini memiliki fitur menambah, mengubah, menghapus, dan menandai tugas selesai, dengan penyimpanan data menggunakan SharedPreferences. Hasil pengujian dengan metode Black Box menunjukkan semua fitur berjalan lancar tanpa error atau crash, waktu respons kurang dari satu detik, dan penggunaan memori sekitar 30-45 MB. Aplikasi ini dinilai responsif dan mudah digunakan karena menggunakan desain sederhana berbasis Material Design. Kesimpulannya, aplikasi “To-DoListKu” bisa membantu pengguna mencatat dan memantau kegiatan dengan efisien, stabil, dan praktis, bahkan tanpa koneksi internet. Untuk pengembangan selanjutnya, disarankan menambahkan integrasi cloud, sistem login pengguna, serta evaluasi berkala tentang pengalaman pengguna untuk meningkatkan fungsionalitas dan keamanan aplikasi.Kata kunci : Flutter; To-Do List; Aplikasi Mobile; Manajemen Waktu; Pengingat Tugas; Abstract - The development of information technology in mobile devices has created an increasing need for applications that can help users manage their time and daily activities. This study aims to create the “To-DoListKu” application as a tool for remembering personal tasks and schedules, using Flutter technology. The method used is Research and Development (RD) with a Waterfall model, which consists of needs analysis, design, development, testing, and maintenance. This application has features for adding, changing, deleting, and marking tasks as completed, with data storage using SharedPreferences. Testing results using the Black Box method showed that all features ran smoothly without errors or crashes, with a response time of less than one second and memory usage of around 30-45 MB. This application is considered responsive and easy to use because it uses a simple design based on Material Design. In conclusion, the “To-DoListKu” application can help users record and monitor activities efficiently, stably, and practically, even without an internet connection. For further development, it is recommended to add cloud integration, a user login system, and periodic evaluations of the user experience to improve the functionality and security of the application.Keywords: Flutter; To-Do List; Mobile Application; Time Management; Task Reminder;
Decision Support System Using the Analytical Hierarchy Process Method in Determining Credit Recipient Eligibility Erika Nia Devina Br Purba; Arnita; Hermawan Syahputra; Lasker P Sinaga; Adidtya Perdana
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2256

Abstract

Banks play a fundamental role in improving public welfare by collecting funds through savings and redistributing them as credit. Although credit is the primary source of bank revenue, it carries significant risks if the feasibility analysis of prospective borrowers is flawed, potentially leading to non-performing loans that disrupt financial stability. BPR Nusantara Bona Pasogit 17 faces this challenge as it currently lacks an automated decision support system, resulting in assessments that are often inconsistent or subjective. This research aims to develop a web-based decision support system using the Analytical Hierarchy Process (AHP) method to determine credit recipient eligibility. Developed using PHP and MySQL, the system incorporates criteria management, AHP calculation processing, and automated eligibility ranking. Comprehensive validation through black-box and white-box testing confirmed that all functional components performed correctly with consistent "PASS" results. The AHP implementation produced a Consistency Ratio (CR) of 0.03797, indicating high reliability in decision-making. Criterion priority weights were identified as: Income (0.386), Character (0.219), Loan Amount (0.162), Collateral (0.103), Loan Term (0.07), and Age (0.06). System testing on 100 customer records resulted in a maximum eligibility score of 0.93501 and a minimum of 0.41839.
Co-Authors Ade Zulkarnain Adinda Soleha Adryan Rachmadsyah Ryan Afrrahman S. Effendi, Ali Agus Waruwu, Stefen Al Khowarizmi Al Rafiq, M. Faris Albert Ramadhan Manik Alby Savana HSB, Muhammad Alfin Syahri Alfin, Muhammad Alvansyah, Oka Alvin Hafiz Alya Namira Amanah, Fadilla Amelia Br Siregar, Ririn Amelia Vega S. Meliala, Ruth Anak Agung Istri Sri Wiadnyani Ananda Hafika, Rizky Andi Marwan Elhanafi Angelica Barus Anggi Silalahi Anggraini, Dea Anwar Shaleh Lbn Gaol Aqilah Defiyanti Arief Budiman Arief Budiman Arifin, Muhammad Hidayatul Arion Pardede Arnita Ashillah, Salma Asro Harahap, Fatima Audy Priscilia, Selfi Augis Dinanti Aulia, Windy Aurela Khoiri Nasution Ayu Amelia Pwrtiwi Azhara Amelia H Azima Lubis, Fauzan Br. Hutagalung, Fhadillah Budi Akbar, Muhammad Bunga Dwi Febrianti Bush Henrydunan, John Calvin Syahputra Damanik, Muhammad Rois Lukman Damayanti, Nina Afria Dedy Kiswanto Delvita Aulia Artika Dian Septiana DIdi Febrian Dinda Syafitri Dwi Syaputra Ega Pratama Ega Zuhairi Ramadhan Elistia, Callysa Erika Nia Devina Br Purba Evanthe, Hansel Evelyn Keisha Silalahi Eviyona Laurenta Br Barus Fadilah, Putri Maulidina Fadilah, Putri Mauliidna Farezi, Nazwar Fatimah Asro Harahap Fauzan Azima Lubis Felix John Pardamean Hutabarat Frengki Alfredo Matondang Freyro Dobry Sianipar Gulo, Steven Adventino Gus Rosauli Pandiangan Hafiz, Alvin Halawa, Sovantri Putra Paskah Hapzi Ali Harahap, Salsa Nabila Hasibuan, Ade Zulkarnain Hasugian, Andly Sofian Henrydunan, John Bush Hermawan Syahputra Hsb, Khairany Zuhriyyah Jinan Ichwanul Muslim Karo Karo Ilyasyah Drilanang, Muhammad Imelda, Yusmita Impana Manik, Kristin Insan Pratama Siagian, Raihan Irfandi Surbakti, Zevan Irya Shakila Syukron, Ananda Isa Hidayati Josua Anugrah Deo Tampubolon Juliana, Feby Kana Saputra S Kayla Amelia Putri Khairul Fahmi Sagala Khodotun Hadawiyah Margolang Khoiriah, Najwatul Kokod, Mario Maysan Kurniadi, Azis Lasker Pangarapan Sinaga Lestari, Yuyun Dwi Lexa, Juhraini Helfiana Lubis, Farizky Aulia M. Fahmi Arafat M. Rizki Andrian Fitra Maissy Angelica Pakpahan Manurung, Asrar Aspia mardiana Maulana Al Nouri Maulida Surbakti, Nurul Maulidina Fadila, Putri MD, Pipit Putri Hariani Mhd Zulfansyuri Siambaton Midayatul Arifin, Muhammad Mohd. Rafiif Albani Muhammad Alby Savana Hasibuan Muhammad Alfin Muhammad Budi Akbar Muhammad Fauzan Akbar Muhammad Haikal Al Majid Muhammad Hidayatul Arifin Muhammad Iqbal Fahrezzi Muhammad Khoiruddin Harahap Muhammad Kurniawan Muhammad Raffi Akbar Tanjung Muhammad Raihansyah Lubis Muhammad Rivai Muhammad Yazid Noor Muhammad Zidane Al-Kautsar Muslim Sinaga, Rizal Nababan, Sirus Daniel H Nabila Harahap, Salsa Najwatul Khoiriah Nasution, Afifah Naila Nasution, Nayla Anjani Naufal Aqiilah Asra Nazwar Farezi Nenna Irsa Syahputri Neysa Talitha Jehian Niska, Debi Yandra Noor, M Yazid Nuriana Sipahutar Nurul Ain Farhana Nurul Khairina Nurul Maulida Surbakti Panggabean, Suvriadi Panjaitan, Bicanro Gebriyan Panjaitan, Clara Kresensia Paskah Abadi Simanullang Paskal Arienda Epidonta Ginting Patricia Nainggolan, Natasha Pebiana Putri, Fahra Peter Tymoty Hutabarat Prana Walidin, Adamsyach Pratama, Ega Priscilia, Selfi Audy Purba, Jogi Putra Paskah Halawa, Sovantri Putri Handayani, Agata Raffi Akbar Tanjung, Muhammad Raihan Insan Pratama Siagian Raja Ansel Hartama Sihombing Ramadhan Manik, Albert Rangga Wahyu Pratama Rani Indah Sari Repi Meilani Putri Revidamurti Daulay Revidamurty Daulay Ridho Affandi Rifqi Putra Winanda Ririn Amelia Br Siregar Riski Immanuel Situmorang Rizko Liza Rizky Ananda Hafika Rossy Pratiwy Sihombing Rut Kezia Imburi Ruth Amelia Vega S Meliala Sahara Lani Lestari Sapta Warman Zai, Tri Saragih, Angelina S. Sarah Putri Nasutio. Sembiring, Febe Gracia Shaleh Lbn Gaol, Anwar Shaqila Rahmayani Gultom Silaban, Lastri Putri Simamora, Sevta Triwana Simanjuntak, Yesy Simarmata, Jhon Gabriel Simbolon, Agata Putri Handayani Sinaga, Christian Nicholas Sinaga, Rizal Muslim Sirlia Sahid Siti Haliza Zamili Sri Dewi Stefen Agus Waruwu Sukma, Ayman Human Suleho, Febrina Syahri, Alfin Syti Salwaa Nafiisah Tambunan, Vivielda Farmawaty Tanjung, Elga Sari Tarigan, Yehezkiel Haganta Tasya Agustina Tampubolon, Putri Tia Risky Yasmin Saketang Vega S. Meliala, Ruth Amelia Wahyudi, Rizky Windy Aulia Yazid Noor, Muhammad Yessi Fitri Annisa Lubis Yolandari, Nezza Anggraini Yoseph Christian Sitanggang Yuda Advis Ambrosius Sitohang Yulita Molliq Rangkuti Yuyun Dwi Lestari Yuyun Dwi Lestari Zahra, Sofia Zai, Samuel Anaya Putra Zai, Yohanes Gerardus Haga Zidane, Muhammad Zulfahmi Indra, Zulfahmi Zulfahrizan, Atta Zulfi, M. Fikri