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All Journal Teknika Jupiter SITEKIN: Jurnal Sains, Teknologi dan Industri CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah KOMPUTASI Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Khatulistiwa Informatika Jurnal Mantik Penusa Rang Teknik Journal Jurnal Teknik Informatika UNIKA Santo Thomas JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Riset Informatika Jurnal Teknologi Terpadu JUSIM (Jurnal Sistem Informasi Musirawas) INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Jurnal Teknik dan Informatika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer bit-Tech Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) TRIDARMA: Pengabdian Kepada Masyarakat (PkM) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Sistem Komputer & Kecerdasan Buatan INFOKUM TIN: TERAPAN INFORMATIKA NUSANTARA Teknosains : Jurnal Sains,Teknologi dan Informatika Infotek : Jurnal Informatika dan Teknologi Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Computer Science and Information Technology (CoSciTech) Journal of Computer, Electronic, and Telecommunication (COMPLETE) Journal of Soft Computing Exploration Djtechno: Jurnal Teknologi Informasi Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Bulletin of Computer Science Research Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Instal : Jurnal Komputer Jurnal Interaktif: Warta Pengabdian Pendidikan (JIWPP) J-Intech (Journal of Information and Technology) Journal of Informatics and Communication Technology (JICT) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Journal of Artificial Intelligence and Engineering Applications (JAIEA) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat Jurnal Indonesia : Manajemen Informatika dan Komunikasi Journal of Informatics and Communication Technology (JICT) Journal of Computer Science Advancements Journal of Information Technology
Niska, Debi Yandra
Universitas Negeri Medan
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Implementasi Metode Multifactor Evaluation Process (MFEP) dalam Pemilihan Karyawan Berprestasi pada PT. Maju Express Indonesia Niska, Debi Yandra; Musdalifa, Eliza
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 5 No. 2 : Tahun 2020
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17605/jtiust.v5i2.1048

Abstract

PT. Maju Express Indonesia adalah perusahaan yang berpusat di Jakarta, tepatnya di Mangga Dua Square Blok H nomor 18-21, Jakarta Utara. Memiliki sejumlah cabang di beberapa kota besar, salah satunya di Medan, Sumatera Utara. Jumlah karyawan yang bekerja di PT. Maju Express Indonesia. Kinerja setiap individu karyawan juga berbeda-beda. PT. Maju Express Indonesia memberikan penghargaan kepada karyawan berprestasi setiap tahun. Proses penilaian karyawan berprestasi masih manual dan tidak efektif. Sehingga dinilai kurang optimal dan membutuhkan banyak waktu baik dalam penyusunan laporan maupun pemilihan calon karyawan dengan prestasi yang luar biasa. Untuk mengatasi masalah tersebut, diperlukan Sistem Pendukung Keputusan (DSS) untuk membantu perusahaan memiliki karyawan yang berkualitas dan berprestasi serta dapat mengharumkan nama perusahaan. Dalam pengambilan keputusan, DSS menggunakan data dan model untuk memecahkan masalah yang tidak terstruktur. Salah satu model yang digunakan dalam DSS adalah MultiFactor Evaluation Process (MFEP). Dengan adanya sistem pendukung keputusan untuk menentukan karyawan berprestasi dapat memudahkan PT. Maju Express Indonesia dalam memilih karyawan berprestasi
Implementasi Metode Multifactor Evaluation Process (MFEP) dalam Pemilihan Karyawan Berprestasi pada PT. Maju Express Indonesia Niska, Debi Yandra; Musdalifa, Eliza
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 5 No. 2 : Tahun 2020
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.232 KB) | DOI: 10.17605/jtiust.v5i2.1048

Abstract

PT. Maju Express Indonesia adalah perusahaan yang berpusat di Jakarta, tepatnya di Mangga Dua Square Blok H nomor 18-21, Jakarta Utara. Memiliki sejumlah cabang di beberapa kota besar, salah satunya di Medan, Sumatera Utara. Jumlah karyawan yang bekerja di PT. Maju Express Indonesia. Kinerja setiap individu karyawan juga berbeda-beda. PT. Maju Express Indonesia memberikan penghargaan kepada karyawan berprestasi setiap tahun. Proses penilaian karyawan berprestasi masih manual dan tidak efektif. Sehingga dinilai kurang optimal dan membutuhkan banyak waktu baik dalam penyusunan laporan maupun pemilihan calon karyawan dengan prestasi yang luar biasa. Untuk mengatasi masalah tersebut, diperlukan Sistem Pendukung Keputusan (DSS) untuk membantu perusahaan memiliki karyawan yang berkualitas dan berprestasi serta dapat mengharumkan nama perusahaan. Dalam pengambilan keputusan, DSS menggunakan data dan model untuk memecahkan masalah yang tidak terstruktur. Salah satu model yang digunakan dalam DSS adalah MultiFactor Evaluation Process (MFEP). Dengan adanya sistem pendukung keputusan untuk menentukan karyawan berprestasi dapat memudahkan PT. Maju Express Indonesia dalam memilih karyawan berprestasi
Implementation of a Hybrid Cryptosystem Using ChaCha20 and ECC for Image Encryption in an Android Application Zai, Samuel Anaya Putra; Debi Yandra Niska; Zulfahmi Indra; Kana Saputra; Adidtya Perdana
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15274

Abstract

This study aims to develop an Android application capable of securely encrypting and decrypting images using a hybrid cryptographic method. The system combines the ChaCha20 algorithm as symmetric cryptography to encrypt image files, and Elliptic Curve Cryptography (ECC) as asymmetric cryptography to encrypt the ChaCha20 key. The key used is temporary (ephemeral), ensuring that only the intended recipient who possesses the appropriate ECC private key can decrypt the file. The application was developed using the Kotlin programming language in Android Studio, with a PHP-based backend and MySQL database. Testing was conducted using the black-box method and involved 15 beta testers to evaluate functionality, security, and usability aspects. The results show that all features of the application run properly, and the encryption and decryption processes can be performed efficiently and securely. Beta testers gave an average rating of 4.6 out of 5 and stated that the application is easy to use and provides sufficient protection for personal data. Therefore, the developed application successfully meets the objectives of the study and offers an alternative solution for securing image file transfers between users via Android devices.
Web-Based Decision Support System for Employee Performance Evaluation at Madani Hotel Using the WASPAS (Weighted Aggregated Sum Product Assessment) Method Telaumbanua, Louders Yoakim; Saragih, Rendy Zikriansyah Fauzi; Ginting, Joel Arie Putranta; Niska, Debi Yandra
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 2 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i2.24790

Abstract

Human resource management in the hospitality industry requires an objective and efficient employee performance evaluation. This study aims to design and implement a web-based Decision Support System (DSS) for evaluating the performance of Madani Hotel employees using the Weighted Aggregated Sum Product Assessment (WASPAS) method. Employee performance data (10 samples) were collected through observation and supervisor assessments based on nine criteria: Accuracy of Doing Job, Job Knowledge, Potential to Learn to Other Section, Initiative/Motivation, Hard Working, Able to Communicate with Others, Discipline, Productivity/Efficiency, and Responsibility. The weights of the criteria were determined based on their relevance to the job and were then normalized. The WASPAS calculation process was carried out in the CodeIgniter 4 backend, producing a Q score for each employee. The results showed a high correlation (Spearman’s rho = 0.88) between the system ranking and manual ranking, with A.P. ranked highest and E.W. ranked lowest. The implementation of this DSS reduces subjectivity and accelerates the performance evaluation process. The developed system also provides an automated reporting module and a responsive interface based on Bootstrap SAdmin2.
Sistem Pendukung Keputusan Untuk Pemilihan Pupuk Padi (Oryza sativa) Terbaik Berbasis Metode Pembobotan Entropy Dan Aras Niska, Debi Yandra; Khoiriyah Pohan, Nur Rizkah; Fadluna, Erika Putri; Ananda, Deswita
Jurnal Ilmiah Komputasi Vol. 24 No. 3 (2025): Jurnal Ilmiah Komputasi : Vol. 24 No 3, September 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.24.3.3838

Abstract

Penelitian ini mengembangkan sebuah Sistem Pendukung Keputusan (SPK) untuk pemilihan pupuk pada tanaman padi di Desa Padang Cermin, Kabupaten Langkat, dengan memadukan metode Entropy dan ARAS. Metode Entropy digunakan untuk menghitung bobot kriteria kandungan nitrogen (N), fosfor (P), kalium (K), harga, dan dosis berdasarkan variasi data. Selanjutnya, metode ARAS melakukan perankingan alternatif pupuk dengan membandingkan skor setiap alternatif terhadap alternatif ideal. Sistem diimplementasikan menggunakan bahasa pemrograman Python dan framework Flask, dilengkapi antarmuka web yang memudahkan pengguna memasukkan data kriteria dan alternatif, menampilkan bobot, serta mengeksekusi perhitungan secara real time. Hasil perhitungan menunjukkan bahwa pupuk NPK Mutiara memperoleh skor tertinggi, yakni 0,1354, sehingga direkomendasikan sebagai pilihan terbaik untuk meningkatkan produktivitas padi di lokasi studi. SPK ini diharapkan membantu petani dan penyuluh dalam membuat keputusan pemupukan yang lebih objektif dan efisien.
IMPLEMENTASI SEDERHANA PREDIKSI CUACA DENGAN METODE REGRESI LINEAR DAN LOGIKA FUZZY siregar, dean; Artika, Delvita Aulia; Febrianti, Bunga Dwi; Niska, Debi Yandra
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 6 No 2 (2025): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM)
Publisher : Fakultas Teknik Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v6i2.3293

Abstract

Unpredictable weather changes in Medan City often cause significant impacts across various sectors such as transportation, health, and the economy. One of the most frequent consequences is flooding due to high and poorly predicted rainfall. Therefore, this study aims to develop a weather prediction model by combining Linear Regression and Fuzzy Logic methods to improve the accuracy of weather parameter predictions, such as temperature, humidity, and rainfall measured in oktas. Linear Regression is used to model the statistical relationships between weather variables based on historical data, while Fuzzy Logic is applied to handle the uncertainty in weather patterns that are often nonlinear and unpredictable. This study utilizes historical weather data obtained from the worldweatheronline.com website for the Medan City area. The data goes through several processing stages, including preprocessing to clean and normalize the data, modeling using Linear Regression to identify major trends in the dataset, and applying Fuzzy Logic to accommodate uncertainties in predictions. The developed model is then tested and validated to evaluate its performance compared to other conventional prediction methods. The model implementation is carried out using GNU Octave, which allows efficient numerical analysis and data modeling. The results show that the combination of Linear Regression and Fuzzy Logic improves the accuracy of weather predictions compared to using a single method. This model provides more stable and reliable prediction results, especially in handling extreme weather conditions that frequently occur in Medan City. With a more accurate prediction model, it is expected to assist the community, government, and policymakers in disaster mitigation, infrastructure planning, and strategic decision-making in facing dynamic weather changes
Penerapan Metode Analytical Hierarchy Process (AHP) Dalam Pemilihan Karyawan Berprestasi Berbasis Web Pada PT. Dambosko Bronton Nisa, Anisa Damayanti Daulay; Yandra Niska, Debi
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 15 No 2 (2023): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10068271

Abstract

Human resources are very important in achieving the vision and mission of the company called employees. Currently PT. Dambosko Bronton does not yet have a selection program for outstanding employees so that the lack of employee work motivation, the unavailability of computerized methods and systems that support the selection of outstanding employees are still obstacles so that they are considered less effective. Web-based systems that use AHP should be designed to address these issues, so that systems are built more effectively and speed up the process of selecting outstanding employees. Decision retrieval uses the AHP method because this method uses human perception as the main input. This research aims to facilitate HRD in making the right decisions and accelerate the decision-making process. Keywords: Decision support system, AHP method, Selection of outstanding employees.
Penerapan Metode Certainty Factor untuk Mengidentifikasi Penyakit Paru-Paru pada Manusia Berbasi Web Azizah, Wafiq Khairiyah; Niska, Debi Yandra
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 23 No 1 (2024): Februari 2024
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v23i1.9506

Abstract

Penyakit paru–paru merupakan penyakit yang berbahaya bagi manusia dan berdampak serius bagi kesehatan apabila tidak ditangani dengan segera. Dilihat dari hasil laporan prevalensi penyakit paru-paru 3 tahun terakhir, bahwasannya penyakit paru–paru menjadi masalah yang serius sehingga perlu adanya pengobatan dan penanganan yang tepat untuk mengatasi permasalahan pada penyakit paru–paru. Terbatasnya dokter paru-paru, jam praktek dokter yang terbatas, biaya konsultasi yang mahal serta pelayanan di rumah sakit yang kurang efektif membuat masyarakat mengalami kendala apabila ingin berkonsultasi kepada dokter spesialis secara langsung. Dengan kemajuan teknologi yang canggih, untuk menyelesaikan permasalahan tersebut dibangunlah suatu sistem pakar dengan harapan dapat membantu masyarakat yang ingin berkonsultasi tanpa harus bertemu dokter spesialis secara langsung. Dalam mengidentifikasi penyakit paru-paru, sistem pakar yang dibangun ini menggunakan metode Certainty Factor dengan menginput data gejala dan nilai CF yang dialami. Hasil dari penelitian ini yaitu aplikasi sistem pakar yang dapat mengidentifikasi penyakit paru-paru. Sehingga dengan adanya sistem pakar ini dapat mempermudah pasien untuk mengetahui jenis penyakit yang dialami.
Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai Dana Desa (BLT-DD) Menggunakan Algoritma Preference Selection Index (PSI) Tampubolon, Putri Tasya Agustina; Chairani, T.Sofia; Niska, Debi Yandra
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i2.30343

Abstract

The Village Fund Direct Cash Assistance (BLT-DD) program is one of the government's efforts to help poor families in the village. However, the recipient selection process is still done manually through deliberations of village officials, making it prone to mistargeting and lack of transparency. This research aims to build a Decision Support System (SPK) that is able to determine prospective BLT-DD recipients objectively and efficiently. The method used is the Preference Selection Index (PSI), which can solve multicriteria decision-making problems without the need to assign weights between criteria. The five main criteria used include welfare decile, health status, program participation, marital status, and gender of the family head. Testing was conducted on 10 alternative data. The calculation results show that alternative A3 has the highest score of 1.66. This system is able to improve accuracy, efficiency, and transparency in BLT-DD distribution.
Decision Support System for Determining Tutoring Institutions for SNBT Preparation Using the Weighted Product Method Batubara, Shabrina Husna; Maulana, Sandy Andika; Harahap, Wahyu Abadi; Niska, Debi Yandra
Journal of Computer Science Advancements Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i2.1108

Abstract

There are several stages in choosing a state university, one of which is through the Joint Selection for State University Admission. To prepare for this, many SNBT candidates attend Learning Guidance Institutions. Learning guidance is a service or educational program designed to help students understand the subject matter taught in school. Its main goal is to improve students' academic abilities through various methods. This research aims to develop a Decision Support System (DSS) using the Weighted Product (WP) method to help choose the most appropriate Tutoring Institution. The system is designed to help parents and prospective students make decisions that suit their needs, taking into account factors such as teaching quality, facilities, and costs. With this DSS, it is hoped that the process of selecting Tutoring Institutions can be carried out more efficiently and accurately so that prospective participants can prepare themselves better to face SNBT. Based on the completed case study, the highest preference value is obtained by Adzkia (A4) with a value of 0.231, while the lowest preference value is Ganesha Operation (A1) with a value of 0.168. The results from the DSS built, and the manual calculations, show the same values.
Co-Authors Adidtya Perdana, Adidtya Adinda Wibowo Adventino Gulo, Steven Affandi, Ridho Agi Berutu, Iwan Akbar Alif Haikal Alfarizi Wijaya Alifya Aisya, Alifya Aisya Amelia Br Siregar, Ririn Amelia Pertiwi, Ayu Ananda Hatmi, Reza Ananda, Deswita Andriyani S, Rahayu Anggi Reswen, Raffi Anggi Tasari Anti Nada Nafisa Arifin, Muhammmad Hidayatul Arnita Arnita Artika, Delvita Aulia Ashillah, Salma Augis Dinanti Aullia, Annisa Auzi, Sybil Azizah, Wafiq Khairiyah Azura Calista Sitorus Bastio, Aldrik Batubara, Shabrina Husna Bonifasius Simbolon, Aldo Budi Akbar, Muhammad Chairani, T.Sofia Dealva Arsyad, Thania Derian, Rendy DIdi Febrian Dinda Kartika Disty Anastasya DWI SURYANTO Eka Nainggolan, Rinay Erika Nia Devina Br Purba Evaliana Sembiring, Khatrin Fadluna, Erika Putri Fahri Aulia Alfarisi Harahap Fais, Muhammad Akram Farida Hannum Harahap Fauzan, Akram Febrianti, Bunga Dwi Fevi Rahmawati Suwanto Gian Patar P. Sirait Ginting, Joel Arie Putranta Gultom, Jonatan Rio Gultom, Shaqila Rahmayani Habibi, Rizki Haikal Farhan Ramadhan Harahap, Salsa Nabila Harahap, Wahyu Abadi Hermawan Syahputra HIDAYANTI, RAHMA Hidayat, M Fauzan Hidayat, Muhammad Ferdiansyah Hutasoit, Triwanti Andini Immanuel Tarigan Insan Taufik Istiara, Syafira Jeremia Jordan Sihombing Johanes Apriadi Parlinggoman Sirait John Bush Henrydunan Josua Nainggolan Kana Saputra S Kartika, Dinda Keisha Silalahi, Evelyn Khairany Zuhriyyah Jinan Hsb Khairul Khairul Khairul, Khairul Khoiriyah Pohan, Nur Rizkah Khusnul Arifin Listia, Hijka Lubis, Ardilla Syahfitri Lumbantoruan, Angelina Romauli Maharani, Raysa Malik Fajri, Maulana Manullang, Sudianto Manurung, Enrico Vincentius Marbun, Yohana Kartika Maulana Malik Fajri Maulana, Sandy Andika Mayadi, Kaka Aprianda Meirza, Alifya Meliala, Ruth Amelia Vega S. Melika Debiyana Putri Mevia, Nazwa Aidlia Octa Mhd Hidayat Misgiya, Misgiya Mohammed Hafizh Al-Areef Muhammad Alfin Muhammad Fadlan Ikromi Muhammad Iqbal Muhammad Iqbal Fahrezzi Musdalifa, Eliza Nafiisah, Syti Salwaa Nasution, Hamidah . Naufal Musyaafa, Muhammad Nazla, Khaira Nisa, Anisa Damayanti Daulay Nur Anisa Fitria Nur, Adzkia Nurkhalizah, Rezeki Nurul Adawiyah Putri Pandiangan, Daniel Pane, M Iqbal Anata Panjaitan, Clara Kresensia Pasaribu, Jojor Putri Pinem, Mhd Zulfikar Puteri, Nadya Rafaela Putri Ameliya Lubis Putri Syaifullah Nst, Sarah Putri, Rezkya Nadilla Rahayu Andriyani S Rahma Hidayanti Rahmad Budi Utomo Rahmi, Yunita Raiyan Fairozi Ramadhan Manik, Albert Rangkuti, Muhammad Haikal Hafiz Rian Farta Wijaya Ridho Ardhana Rifail Azis, Khildan Rinay Eka Nainggolan Rizki Andrian Fitra, Muhammad Rizky Wahyudi Ronaldo Mardianson Sinaga Sadion Tumpal Damanik Safitri, Eli Said . Iskandar Sambora, Dicky Saragih, Rendy Zikriansyah Fauzi Sari, Rani Indah Sartika Siburian Sembiring, Febe Gracia Sibarani, Ronasip Heppy Ria Siburian, Sartika Sidabutar, Yusiva SM Sihombing, Jeremia Jordan Simamora, Elmanani Simanjuntak, Yesy Siregar, Dean Siregar, Nugrah Anggara Sitepu, Keysa Shifa Adwitia siti wulandari Sitompul, Yunanda Rizki Sitorus, Azura Calista Stefania Situmorang Suhendra, Dewi Putri Sagita Suleho, Febrina Syafira Istiara Syahrul Fahri Syawali, Yusfi Talitha Jehian, Neysa Tampubolon, Putri Tasya Agustina Tarigan, Claudia Agatha Taufik Abdullah Telaumbanua, Louders Yoakim Utomo, Rahmad Budi Wahyu Tri Atmojo Wardaniah, Sabina Warjaya, Angga Wijaya, Rian Farta Wulan Adira Nasution Yeremia Tiopan P. Purba Yulita Molliq Rangkuti Zai, Samuel Anaya Putra Zaky Muchtar, Irfan Zulfahmi Indra, Zulfahmi