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Syaiful Zuhri Harahap
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Informatika
Published by Universitas Labuhanbatu
ISSN : 23032863     EISSN : 26151855     DOI : 10.36987
Core Subject : Science, Education, Engineering,
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Library & Information Science Other
INFORMATIKA : Jurnal Ilmiah Fakultas Sains & Teknologi Universitas Labuhanbatu diterbitkan oleh Universitas Labuhanbatu melalui Lembaga Penelitian dan Pengabdian Masyarakat, dimaksudkan sebagai media pertukaran informasi dan karya ilmiah antara staf pengajar, alumni, mahasiswa dan masyarakat pada umumnya yang terbit tiga kali dalam setahun (Januari-Mei-September), yang mulai awal terbit sejak tahun 2013.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 273 Documents
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Efektivitas dan Kelemahan Autentikasi Berbasis Web Menggunakan One-Time Password (OTP) dalam Mencegah Akses Tidak Sah Maulana, Fajar; Hendra, Yomei; Sakinah, Putri; Eirlangga, Yofhanda Septi; Ayun, Aisyah Qurrata
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7482

Abstract

Authentication based on one-Time Password (OTP) is one method that is widely used in securing access to web systems. This study aims to analyze in depth the effectiveness and weaknesses of the OTP authentication system in preventing unauthorized access. Through a qualitative approach based on literature studies, as well as comparisons between other authentication methods, it was found that OTP is able to increase a significant additional layer of security, especially when combined with other authentication methods such as passwords or biometrics. However, this system still has various weaknesses, such as the risk of phishing attacks, man-in-the-middle (MITM) attacks, and vulnerabilities to SIM swapping attacks, especially in the implementation of OTP via SMS. Dependence on user devices and communication networks is also a limiting factor in the effectiveness of OTP. This study provides recommendations for the implementation of strengthening measures such as Multi-Factor Authentication (MFA), the use of authenticator applications, and the implementation of end-to-end encryption to reduce security risks. The results of this study are expected to be a reference for system developers and organizations in choosing and implementing authentication methods that are more secure and in accordance with current cybersecurity needs.
PENINGKATAN ALGORITMA C4.5 MENGGUNAKAN ENSEMBLE LEARNING UNTUK MENDETEKSI PENYAKIT GINJAL Agusviyanda, Agusviyanda; Novita, Rita; saleh, Alfa; Jamaris, Muhammad
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7542

Abstract

Deteksi dini penyakit ginjal sangat penting untuk menurunkan risiko komplikasi dan meningkatkan prognosis pasien. Permasalahan utama dalam diagnosis penyakit ginjal adalah adanya gejala yang tidak spesifik dan ketidakseimbangan distribusi data pasien. Penelitian ini mengusulkan peningkatan performa algoritma C4.5 untuk deteksi penyakit ginjal dengan mengintegrasikan beberapa tahapan modern, yaitu pra-pemrosesan menggunakan Label Encoder dan Ordinal Encoder untuk mengolah fitur kategorikal, penyeimbangan data menggunakan metode SMOTE-ENN, serta seleksi fitur dengan LASSO. Selanjutnya, model dasar C4.5 ditingkatkan dengan metode ensemble learning menggunakan AdaBoost. Hasil pengujian menunjukkan bahwa integrasi Adaboost pada algoritma C4.5 secara signifikan meningkatkan akurasi deteksi penyakit ginjal dibandingkan model dasar maupun model-model pada penelitian terdahulu. Model terbaik pada penelitian ini mencapai akurasi 99%, melebihi performa XGBoost maupun stacking ensemble pada kasus serupa. Kontribusi penelitian ini menegaskan efektivitas kombinasi boosting, balancing, dan seleksi fitur dalam membangun sistem pendukung keputusan berbasis machine learning untuk diagnosis penyakit ginjal.
Determinan Green Human Resouce Management terhadap Komitmen Karyawan dengan Motivasi Kerja Sebagai Variabel Moderasi pada Dinas Perhubungan Sumatera Barat Charli, Chintya Ones; Mahzum, Muhammad
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6974

Abstract

This study aims to analyze the effect of Green Human Resource Management (GHRM) on employee commitment, with work motivation as a moderating variable at the West Sumatra Department of Transportation. This research employs a quantitative method with an explanatory research approach, collecting data through a survey of 95 employees and analyzing it using SEM-PLS. The results indicate that GHRM has a positive and significant effect on employee commitment. Work motivation also significantly influences commitment but fails to moderate the relationship between GHRM and employee commitment. These findings confirm that effective GHRM implementation can enhance employee loyalty and engagement without being influenced by individual motivation levels. This study provides implications for organizations in developing environmentally-oriented human resource policies to improve employee performance and retention.
Rancang Bangun Aplikasi Reminder Service Untuk Kenaikan Pangkat Dan Informasi Pensiun ASN Menggunakan Whatsapp Api Berbasis Website Qadri, Habib Al; Al-Khowarizmi, Al-Khowarizmi; Andriana, Septiana Dewi
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7002

Abstract

This research aims to design and develop a web-based reminder service application that informs Civil Servants (ASN) about promotions and retirement information through the WhatsApp API. Currently, notifications regarding promotions and retirement information for ASN are still manually conveyed through WhatsApp messages without standardization. This research aims to provide more structured information about promotions and retirement, from scheduling to standardized messages. The research focuses on the need for an efficient system to manage and deliver important information related to ASN promotions and retirement, given the frequent delays and inaccuracies in information dissemination. The system development method used is the Waterfall model, which includes the stages of requirements analysis, design, implementation, testing, and maintenance. This application is built using the PHP programming language and the Yii Framework, and it integrates the WhatsApp API for personal notifications. Testing results show that this application functions well, providing timely notifications and making it easier for ASN to receive important information related to promotions and retirement through WhatsApp. The web-based reminder service application with WhatsApp API integration is effective in enhancing the efficiency of delivering promotion and retirement information to ASN and is expected to be widely implemented in personnel administration systems.
Efektivitas Aplikasi Ujian Online Untuk Peserta Didik SMK Hendra, Herisvan
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7481

Abstract

This study aims to develop an effective online exam application for students of SMK Negeri 2 Padang in the Software Modeling subject of class XI Software Engineering. This study uses the Research and Development (R&D) method, with a four-D development model. The four-D development procedure is Define, Design, Development and Disseminate. The data analysis technique used is to describe the effectiveness of the online exam application for daily tests. Based on the results of this study, it can be concluded that an effective application with the values obtained from teacher responses is very effective.  Based on the findings of this study, it is concluded that the Online Exam Application is declared effective for use as an alternative to daily tests in the Software Modeling subject in class XI Software Engineering.
Penerapan Algoritma K-Nearest Neighbor Dalam Menentukan Kualitas Buah Jeruk Bali Harahap, Musbar Fandi; Damayanti, Fera; Sundari, Siti
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7804

Abstract

Grapefruit, large orange or pomelo (Citrus maxima) could be a native Indonesian fruit plant that has high economic value. Grapefruit is spread across various regions in Indonesia and has various types of fruit such as Bali Merah, Cikoneng, Nambangan, Raja, Ratu, and Pangkep. Grapefruit (Citrus maxima) is one of three types of local citrus besides Citrus medica and Citrus reticulate. Grapefruit grows in tropical areas so that grapefruit has the potential to be cultivated in Indonesia. The quality of grapefruit is usually obtained through selection by distinguishing contrast based on the characteristics of natural materials, calculating the dosage and shape of natural materials, the shape of the tip and base of natural materials, the color and surface of grapefruit fruit. flavedo (epicarp), viscosity and color of albedo (mesocarp), color of endocarp, color and taste of vesicles or natural product tissue, odor of essential oils, number of natural products per tree and number of seeds in each natural product. Test results using the grapefruit application in data mining processing using KNN calculations. In the data testing, the precision value was obtained:0.834, Classification precision:0.860, F1:0.860, accuracy:0.861, review:0.860 and MCC:0.720 on the test data.
Implementasi Data Mining Untuk Menentukan Kelayakan Penerimaan Bedah Rumah Menggunakan Algoritma K-Means Fakultas Ilmu Komputer Universitas Pasir Pengaraian Dona, Dona; Sabri, Khairul; Yasdomi, Kiki; Rifqi, Mi’rajul; Yuliansyah, Chandra; Susmita, Afnes
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7828

Abstract

The house renovation program is a government program, namely the Public Housing and Settlement Area Office, which is shown to rehabilitate or repair community houses that are not habitabel. This program is often a problem in Bangun Purba Village because when determining house renovation assistance, it is still by looking or relying on thoughts and predictions for people who will get assistance, so that the assistance that will be distributed is not on target. This house renovation program aims to provide welfare for the poor to build or renovate houses that are not habitabel. Therefore, the author created a Data Mining system to determine the feasibility of receiving home renovation using the K-Means algorithm using the PHP programming language and MySQL database. The K-Means method utilizes training data to generate probabilities such as each grouping for different classes, so that the probability values of the grouping can be optimized to determine the eligibility for receiving home surgery assistance based on the grouping process carried out by the K-Means method.
Analisis Jadwal Retensi Arsip Inaktif di Kementerian Pertanian Republik Indonesia Sahry, Adelia Azahra; Marsofiyati, Marsofiyati; Maulida, Ervina
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7758

Abstract

This study aims to analyze the process of preparing, implementing, and addressing the obstacles in implementing the Inactive Archives Retention Schedule (JRA) at the Ministry of Agriculture, Republic of Indonesia. Inactive archives are documents that are rarely used, but they must still be managed according to regulations to prevent accumulation and ensure easy retrieval when needed. This research design used a qualitative approach with a case study design, allowing researchers to understand the problem in depth in a real-world context. Data were collected through observation, interviews, documentation, and questionnaires distributed to archives management staff. The results indicate that the JRA preparation has not been optimally implemented across all work units due to low employee understanding, minimal training, and limited resources. Furthermore, the JRA implementation is also less than optimal because many archives have not been adjusted to the applicable retention period. Therefore, strengthening regulations, regular training, and the formation of a dedicated archives team are necessary to ensure more effective and efficient archives management.
Analisis Kepatuhan Karyawan PT Cipta Megaswara Televisi (Kompas TV) Divisi Traffic Utami, Natasia Tri; Marsofiyati, Marsofiyati; Maulida, Ervina
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7768

Abstract

Employee compliance is a form of obedience from a person's attitude in complying with certain regulations or provisions related to work. This study aims to determine and analyze employee compliance at PT Cipta Megaswara Televisi (Kompas TV) Traffic Division. This study uses a qualitative research method, a type of research where researchers rely on the views of participants or informants. Researchers took four samples related to the research topic. These four samples provided researchers with various information or important aspects that improve or enrich understanding of the perspective being studied. Data collection techniques included observation, interviews, and documentation. The results of this study indicate that employee compliance in the traffic division has improved significantly due to the regulations enforced by the company and employees' ability to demonstrate a responsible attitude and professionalism when implementing compliance in the workplace. Factors influencing employee compliance can be improved through motivation, leadership, and effective communication, thus employee compliance can be significantly improved and to encourage greater compliance. Strategies to improve employee compliance require companies to develop more in-depth strategies such as weekly training and more effective supervision. Therefore, researchers hope that the results of this study can provide suggestions and insights regarding employee compliance in any company.
Aplikasi Penilaian Kinerja Dosen Teknik Informatika Ramadan, Syahrul; Hastuty, Ade; Yunus, Mughaffir
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7942

Abstract

This research highlights the strategic role of lecturers in higher education, particularly in the teaching and assessment process. However, lecturer performance appraisals often contain elements of subjectivity that cause data inaccuracies. To overcome this, a technology-based system is needed that is able to support the decision-making process more objectively. The Simple Additive Weighting (SAW) method is used in this research because it is able to provide an assessment based on predetermined weights for each criterion. With this approach, the research aims to design a lecturer performance appraisal system that can improve the quality of education through more accurate and structured measurements.

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