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All Journal Jurnal Ilmu Komputer Jurnal Transformatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) INFORMAL: Informatics Journal Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JOURNAL OF APPLIED INFORMATICS AND COMPUTING METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi ILKOM Jurnal Ilmiah Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JOISIE (Journal Of Information Systems And Informatics Engineering) INFOKUM Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Computer Science and Information Technology (CoSciTech) International Journal of Engineering, Science and Information Technology Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Multica Science and Technology jeti Jurnal Minfo Polgan (JMP) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Journal of Information Technology (JINTECH) International Journal of Information System & Innovative Technology Jurnal Pengabdian Masyarakat Bangsa Jurnal Malikussaleh Mengabdi Journal of Advanced Computer Knowledge and Algorithms Gameology and Multimedia Expert International Journal of Information System and Innovative Technology Smatika Jurnal : STIKI Informatika Jurnal Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS)
Sujacka Retno
Universitas Malikussaleh
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Pengembangan Aplikasi Cerdas Untuk Pendukung Keputusan Pemilihan Saham Potensial Bagi Investor Pemula Veri Ilhadi; Ilham Sahputra; Sujacka Retno; Siti Fatimatun Zahro; Irvan Na’syakban
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 6 No 2 (2025): Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/j-icom.v6i2.13214

Abstract

This study develops an intelligent application to support decision-making in selecting potential stocks for novice investors. Stock selection is often a challenge for beginner investors due to limited experience, analytical skills, and understanding of a company's fundamental indicators. The developed Decision Support System (DSS) integrates two multi-criteria analysis methods: AHP (Analytic Hierarchy Process) and VIKOR (VIšekriterijumsko KOmpromisno Rangiranje). AHP is employed to systematically determine the criteria weights based on user preferences, addressing VIKOR’s limitation in subjective weight assignment. VIKOR is then used to rank stocks by identifying the best compromise solution. The application is user-friendly and utilizes eight fundamental indicators: PER, PBV, ROA, ROE, EPS, BVPS, DR, and DY. Functional testing using the black-box testing method showed that all application features work properly. Recommendation validation also confirmed that the application provides accurate suggestions, consistent with manual analysis using the AHP-VIKOR model.
Sosialiasi Manajemen Sistem Notifikasi Keberangkatan Jamaah Haji dan Umrah Secara Online di Kantor Kemenag Lhokseumawe Kesuma Dinata, Rozzi; Sujacka Retno; Novia Hasdyna; T Irfan Fajri; Mutasar
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 4 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Currently, at the Ministry of Religious Affairs (Kemenag) office in Lhokseumawe, there is no online notification system available for the departure of Hajj and Umrah pilgrims. In the age of rapid advancements in information technology, the importance of an online notification system is increasing, as it can facilitate the departure process for Hajj and Umrah pilgrims. The objective of this community engagement activity is to provide socialization to the staff in the Hajj and Umrah department at the Ministry of Religious Affairs (Kemenag) in Lhokseumawe. The primary focus is on enhancing their understanding of the online notification system, as part of an ongoing effort to improve the efficiency and transparency in the online departure process for Hajj and Umrah pilgrims at the Kemenag office in Lhokseumawe.
Sosialisasi Peningkatan Pengelolaan dan Efisiensi Sistem Informasi Perpustakaan Kitab di Dayah Darul Ulum Desa Alue Awe Kota Lhokseumawe Hasdyna, Novia; Kesuma Dinata, Rozzi; Retno, Sujacka; Fajri, T Irfan; Mutasar, Mutasar
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 2 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i2.3156

Abstract

Dalam era globalisasi saat ini, teknologi informasi dan komunikasi telah mengalami perkembangan yang pesat. Perpustakaan sebagai lembaga penting dalam menyediakan akses ke pengetahuan dan informasi perlu memanfaatkan teknologi ini dengan tepat guna meningkatkan peranannya dalam masyarakat. Di Dayah Darul Ulum, Desa Alue Awe, Kota Lhokseumawe, Perpustakaan Kitab masih belum terkomputerisasi, sehingga diperlukan sosialisasi tentang pentingnya sistem perpustakaan dan pemanfaatannya secara efektif. Tujuan kegiatan ini adalah untuk meningkatkan layanan kepada pembaca dengan optimal. Melalui pengabdian kepada masyarakat, diharapkan dapat memperoleh masukan yang berguna dalam meningkatkan kualitas layanan, termasuk sumber daya manusia, fasilitas, teknologi, dan manajemen. Perpustakaan saat ini berperan sebagai pusat informasi, pengetahuan, dan layanan jasa lainnya, namun masih terdapat ruang untuk perbaikan yang signifikan. Hasil dari kegiatan pengabdian ini diharapkan dapat memberikan kontribusi yang berarti bagi Dayah Darul Ulum dalam meningkatkan kualitas layanan dengan memanfaatkan sistem informasi perpustakaan kitab.
Implementation of Simple Additive Weighting and Profile Matching Methods to Determine Outstanding Students at Universitas Malikussaleh Nurdin, Nurdin; Fikran, Rifzan; Retno, Sujacka
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (2024): 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.v13i4.4176

Abstract

Decision support system (DSS) is a computer-based system used to support data analysis and decision modeling, with the aim of increasing the effectiveness of decisions taken. In this research, SPK is needed to determine Outstanding Students. Through this research, it is hoped that the selection process for outstanding students can be optimized by choosing the evaluation method that best suits the student's characteristics and institutional goals. The results of this research also have the potential to improve the quality of graduates by providing fairer and more objective awards to those who excel. The aim of this research is to design and implement the concept of the Simple Additive Weighting (SAW) and Profile Matching methods in a system for determining outstanding students at Universitas Malikussaleh and to find out the ranking results of the two methods (SAW and Profile Matching) in selecting outstanding students at Universitas Malikussaleh. The research methodology used was literature study, data collection, Simple Additive Weighting and Profile Matching calculations, application design, testing and evaluation. The results obtained from this research are the application of the SAW and Profile Matching methods to determine outstanding students resulting in preferences with the highest score of 1 for the SAW method and the highest score of 5 for the Profile Matching method. These two methods can be applied in selecting outstanding students to help decision making because both this method produces the same best alternative
PKM Strategi Pemanfaatan Teknologi Informasi untuk Menghadapi Cyberbullying di Kalangan Siswa Retno, Sujacka; Maida, Eka; Fhonna, Rizky Putra; Afrillia, Yesy; Fachrurrazi, Sayed; Yusuf, Edi
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 9 (2025): November
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i9.3469

Abstract

Perkembangan teknologi informasi membawa dampak positif terhadap kemajuan pendidikan, namun di sisi lain juga menimbulkan fenomena negatif seperti cyberbullying yang semakin marak di kalangan siswa. Cyberbullying sebagai bentuk kekerasan psikologis berbasis digital dapat mengganggu kesehatan mental, motivasi belajar, hingga prestasi akademik peserta didik. Pengabdian ini bertujuan untuk menganalisis strategi pemanfaatan teknologi informasi dalam mengidentifikasi, mencegah, dan menanggulangi cyberbullying di lingkungan sekolah melalui integrasi pendekatan teknologi dan edukatif. Metode pengabdian yang digunakan adalah studi literatur dengan mengkaji hasil pengabdian terdahulu, jurnal terakreditasi, serta laporan lembaga pendidikan nasional maupun internasional. Hasil kajian menunjukkan bahwa pemanfaatan artificial intelligence (AI) untuk deteksi ujaran kebencian, penggunaan learning management system (LMS) yang dilengkapi fitur pelaporan anonim, serta penerapan sistem pengawasan berbasis machine learning dapat membantu mengurangi insiden cyberbullying. Namun, efektivitas teknologi tersebut sangat bergantung pada kesadaran etika digital dan kemampuan literasi siber siswa. Oleh karena itu, kolaborasi antara sekolah, guru, dan orang tua dalam memberikan edukasi literasi digital menjadi aspek krusial. Sinergi antara inovasi teknologi dan program pendidikan karakter mampu membangun lingkungan digital yang aman, inklusif, dan mendukung kesejahteraan psikologis siswa.
A Web-Based Decision Support System Implementation for Evaluating Premier Smartphone Brands Using Weighted Product Method Novia Hasdyna; Rozzi Kesuma Dinata; Sujacka Retno
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.939

Abstract

In the current modern era, smartphones have become an indispensable part of daily life, extensively utilized across a multitude of activities, particularly through online platforms. This underscores the imperative of aiding individuals in making precise decisions regarding the smartphone that aligns most with their needs. To address this exigency, the development of a Decision Support System (DSS) employing the Weighted Product method assumes paramount significance in this research. This DSS empowers users to select the most fitting smartphone by assigning weight values to various performance metrics. The criteria used in this research are price, RAM, ROM, battery capacity, and Android version. The successful implementation of this system streamlines the smartphone selection process, enabling users to make judicious choices that perfectly cater to their requirements while optimizing performance metrics.. In this research, Poco X3 Pro has the highest Vector V value of 0.255441, making it the best-recommended smartphone.
Comparison of the Results of Double Exponential Smoothing Method with Triple Exponential Smoothing for Predicting Chili Prices Nadia Saphira; Munirul Ula; Sujacka Retno
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Double Exponential Smoothing (DES) is a forecasting method that combines two components level and trend, used for data with a trend pattern that tends to increase or decrease over time. In contrast, Triple Exponential Smoothing (TES) incorporates three components: level, trend, and seasonality, making it suitable for data with trend and seasonal patterns. This study uses historical chili price data from 2020 to 2023, obtained from the Bank Indonesia website, managed by the National Strategic Food Price Information Center (PIHPS), to compare the effectiveness of DES and TES in predicting chili prices in Medan City. Prediction accuracy was evaluated using MAPE (Mean Absolute Percentage Error) and MAE (Mean Absolute Error). The study results show MAPE values for DES as follows: Large Red Chili 1.25%, Curly Red Chili 1.39%, Green Bird’s Eye Chili 1.14%, and Red Bird’s Eye Chili 1.13%. TES produced slightly lower MAPE values: Large Red Chili 1.25%, Curly Red Chili 1.38%, Green Bird’s Eye Chili 1.12%, and Red Bird’s Eye Chili 1.10%. The MAE values for DES are as follows: Large Red Chili 447.9, Curly Red Chili 494.83, Green Bird’s Eye Chili 430.92, and Red Bird’s Eye Chili 423.36. TES showed better accuracy with MAE values of Large Red Chili at 447, Curly Red Chili at 493.02, Green Bird’s Eye Chili at 416.2, and Red Bird’s Eye Chili at 409.36. The results conclude that Triple Exponential Smoothing performs better than Double Exponential Smoothing in predicting chili prices.
Predictive Analysis of Retail Promotion Strategies in the Context of Consumer Shopping Behavior Ima Pratiwi; Muhammad Fikry; Sujacka Retno
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In this paper, we examine the impact of various promotional strategies on consumer shopping interest, focusing on the Alfamart retail chain in Lhokseumawe City, Indonesia, which saw rapid expansion from five to fifteen stores between 2017 and 2023. Despite this growth, expected sales increases have not been met, raising concerns about the effectiveness of current promotional tactics. Utilizing multiple linear regression analysis, we investigate the influence of three specific strategies, Promo Spesial Mingguan, Serba Gratis, and Tebus Murah on shopping interest across the 15 stores. Findings reveal that Tebus Murah is the most effective strategy in boosting shopping interest, showing the smallest error margin between predictive and actual sales figures. This study provides comprehensive insights into the broader effects of promotional strategies on consumer interest, highlighting the need for Alfamart to focus on optimizing the Discounted Redemption approach to maximize sales. The predictive system developed serves as a strategic tool for identifying effective promotions, forecasting sales, calculating return on investment, and analyzing consumer behavior. Our results underscore the value of predictive analysis in refining promotional strategies, enabling Alfamart to adopt a more targeted and efficient marketing approach to enhance sales performance.
Implementation of Horspool Algorithm on Book Search Application in Malikussaleh University Library Based on Mobile Android Gilang Wahyu Ramadhan Gilang; Zara Yunizar; Sujacka Retno
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

The development of information technology encourages innovation in library management systems, one of which is an efficient book search system. This thesis examines the application of the Horspool method in library book search applications to improve search speed and accuracy. The Horspool method is a pattern matching algorithm designed to speed up the text search process by utilizing a sliding table, which significantly reduces the number of comparisons required in pattern search. The developed application allows users to search for books based on title, author, or other keywords with fast and relevant results. An evaluation was conducted by comparing the search time between the Horspool method and the traditional search method. The evaluation results show that the Horspool method offers significant performance improvement, with faster search time and high accuracy.
Enhancing Academic Security with RFID-Based Smart Locks and Real-Time Attendance Tracking System Muhammad Al Imran; Muhammad Fikry; Sujacka Retno
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In this study, we propose a novel RFID-based smart lock system integrated with real-time attendance tracking to enhance academic security. Traditional security methods such as mechanical locks and manual attendance systems are prone to various limitations, including lost keys, falsification, and lack of automatic tracking. Our system utilizes E-KTP cards as RFID identification tools, supported by Internet of Things (IoT) technology, to provide automated door access and efficient attendance monitoring. The implementation results demonstrate a high accuracy rate of 99.5% in reading E-KTP cards, with an average response time of 850 Ms and a 99.5% uptime during a 30-day testing period. The system can handle up to 40 access requests per minute during peak hours. Additionally, it reduces access time by 91%, lowers errors from 5% to 0.2%, cuts operational costs by 60%, and decreases maintenance time by 75%. Security is reinforced through dual encryption using the Vigenère and Bcrypt algorithms, ensuring no security breaches over six months. The dashboard provides real-time monitoring, and the automated attendance system reduces human error, integrating seamlessly with academic databases for user verification and schedule management. This research demonstrates the effectiveness of RFID and IoT technologies in modernizing and securing academic environments.
Co-Authors Abdul Azis Andra Munandar Angga Pratama Ardi Wirya Indarto Asmaul Husna Asrianda Asrianda Aulia, Faizul Azrai Putra Barumun Daulay Bustami Bustami Bustami Cut Agusniar Devi, Salma EDI YUSUF, EDI Fadlisyah Fadlisyah Fahrizal, Effan Fajri, T Irfan Fiasari, Fiasari Fikran, Rifzan Fortilla, Zeny Arsya Gadis Ayu Sofiana Gilang Wahyu Ramadhan Gilang Hakimi, Musawer Haried Novriando Hayatun Nisa Hidayatsyah Hidayatsyah ilham - sahputra Ilham Sahputra Ilmi Suciani Sinambela Ima Pratiwi Irvan Na’syakban Lidya Rosnita Lubis, Syahrul Andika Maghfirah, Riezka Mahsa, Masithah Maida, Eka Maryana Maryana Maryana Maryana Maryana, Maryana Muhammad Al Imran Muhammad Daud Muhammad Fikry Muhammad Ikhwanus Muhammad Nurfahmi Muhammad, Muhammad Munirul Ula Mutammimul Ula Mutasar Nadia Saphira Nasrul ZA, Nasrul Nisa Ul Fadila Novia Hasdyna Nur Faliza Nurdin Nurdin Panjaitan, Cherlina Helena Purnamasari Rahma Fitria, Rahma Reza Pahlevi Ginting Richki Hardi Rijal, Himmatur Rini Meiyanti Rizky Putra Fhonna Rizkya, Dini Dara Rozzi Kesuma Dinata Safriandi, Safriandi Safwandi Safwandi Safwandi, Safwandi Sahputra, Ilham Said Fadlan Anshari Salsabila, Thifal Sayed Fachrurrazi Selly Alfika Sinambela, Ilmi Suciani Siti Fatimatun Zahro Siti Wahyuni Sudirman Sudirman T Irfan Fajri Taskia, Narita Teuku Zulkarnaen Tsania Asha Fadilah Daulay Utari, Sylva Putri Uzia Ulfa Veri Ilhadi Wahdana, Aldi Wahyu Isnanda Nasution Wibowo, Patmono Yafis, Balqis Yanti, Riski Yesy Afrillia Yopy Anfelia Zara Yunizar Zulfadl, Zulfadl Zulfia , Anni