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SISTEM MANAJEMEN KEAMANAN INFORMASI MENGGUNAKAN ISO 27001 PADA SISTEM INFORMASI PENELUSURAN PERKARA (SIPP) Dida, Gilang Derman; Snae, Menhya
Jurnal Publikasi Manajemen Informatika Vol. 5 No. 1 (2026): JURNAL PUBLIKASI MANAJEMEN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupumi.v5i1.4473

Abstract

This study aims to determine whether there is an influence of foreign tax credits on the effective tax burden of corporate taxpayers in Indonesia. Foreign tax credits have a major influence on the effective tax burden of corporate taxpayers in Indonesia. The existence of this mechanism will allow companies to avoid double taxation, optimize tax payments, and can also reduce the effective tax rate, this can increase the probability and compliance of tax payments. This study uses a qualitative descriptive method that focuses on explaining and analyzing phenomena based on non-numerical data. Much of the data in this study was obtained through the library research method, namely by collecting, reviewing, and examining many sources of literature related to the research theme. The sources of literature used include academic books, scientific journals, relevant articles, and other official documents that support the understanding of the concepts and implementations studied. the results of this discussion support the hypothesis that KPLN (foreign tax credits) have an effect on reducing ETR (effective tax burden), and show the importance of careful international tax management to maximize tax efficiency legally.
PENERAPAN FRAMEWORK ISO 31000 UNTUK PENGELOLAAN RISIKO TEKNOLOGI INFORMASI DI STIKOM UYELINDO KUPANG Saunopo, Benyamin Valdano; Snae, Menhya
Jurnal Publikasi Manajemen Informatika Vol. 5 No. 1 (2026): JURNAL PUBLIKASI MANAJEMEN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupumi.v5i1.4658

Abstract

This study aims to evaluate the effectiveness of information technology risk management implementation at STIKOM Uyelindo Kupang based on the ISO 31000:2018 framework. The research focuses on four main variables: Risk Identification (X1), Risk Evaluation (X2), Risk Management (X3), and Information Technology Risk Governance (Y). A quantitative approach was applied, using a questionnaire distributed to 50 respondents. Descriptive analysis showed that Risk Identification and Risk Evaluation fall into the good category, while Risk Management was rated as Fair, and IT Risk Governance was categorized as Poor. Pearson correlation analysis revealed very weak and insignificant relationships between variables, indicating the lack of structural integration in the risk management process. These findings suggest that the application of ISO 31000 principles is still suboptimal and requires improvement across six core elements: Leadership and Commitment, Integration, Design, Implementation, Evaluation, and Improvement. A more comprehensive implementation of ISO 31000 is expected to enhance risk management capabilities that are measurable, structured, and sustainable within the institution.
Analisis Perbandingan Kualitas Website Gramedia.com dan BPKGunungMulia.com Menggunakan WebQual 4.0 Berbasis Persepsi Pengguna Alicya Emmanuel Siahaan; Semlinda Juszandri Bulan; Menhya Snae
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.34966

Abstract

This study aims to analyze and compare the quality of the Gramedia.com and BPKGunungMulia.com websites based on user perceptions in the Kupang region using the WebQual 4.0 method. This research was conducted because no comparative study had previously examined both online bookstore websites in the Kupang region. A descriptive quantitative approach was employed using a Likert-scale online questionnaire distributed to 200 respondents, consisting of 100 Gramedia.com users and 100 BPKGunungMulia.com users selected through purposive sampling. Data were analyzed using validity tests, reliability tests, and descriptive statistical analysis with SPSS and Microsoft Excel. The results indicate that both websites are categorized as good. Gramedia.com achieved an average score of 79.31, while BPKGunungMulia.com achieved an average score of 79.23. Gramedia.com performed better in Information Quality (79.63) and Service Interaction Quality (79.07), whereas BPKGunungMulia.com performed better in Usability Quality (79.13) and User Satisfaction (79.87). All research instruments were found to be valid and reliable. These findings provide empirical evidence regarding the quality of online bookstore websites based on user perceptions and may serve as a reference for website managers in improving service quality and user experience.
ANALISIS PEMANTAUAN KUALITAS BBM ECERAN BERBASIS IOT DENGAN FUEL QUALITY SENSOR DAN SVM UNTUK MENENTUKAN KELAYAKAN BERDASARKAN SIFAT FISIK BBM Gabrieno Bunyu; Menhya Snae; Heni
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5947

Abstract

This research aims to design and develop an Internet of Things (IoT)-based monitoring system for the quality of retail petroleum products capable of operating in real time, in order to address the public’s limitations in independently verifying the suitability of retail petroleum products. The system was developed using a proximity sensor as an initial trigger to detect the presence of objects or liquids, and a TDS sensor as a fuel quality sensor to measure changes in conductivity values indicating the water content in fuel samples; each reading is locked for 5 seconds to ensure the stability of the proximity and TDS sensor values before the data is sent to a Flask-based server and analysed using a Support Vector Machine (SVM) algorithm to classify the fuel condition into the categories ‘Suitable’ and ‘Unsuitable’. Tests were carried out on 100 retail fuel samples, comprising 50 samples of pure fuel and 50 samples of fuel mixed with water, with classification rules based on TDS values: a value close to or equal to zero indicates that the fuel shows no signs of water contamination (Acceptable), whilst a value above zero which in the tests varied from 1 to over 700 depending on the level of contamination indicates the presence of water admixture (Unfit). The research results show that the system is capable of performing sensor readings, data transmission and the classification process effectively in real time; furthermore, based on an evaluation using a confusion matrix, the SVM model achieved an accuracy of 0.94, a precision of 0.946, a recall of 0.94 and an F1-score of 0.94. With this performance, the developed system has the potential to be utilised by the public and retail fuel businesses to verify fuel suitability quickly, automatically and objectively without the need for laboratory testing.
SISTEM IOT MONITORING SUHU MESIN DAN JARAK TEMPUH PADA SEPEDA MOTOR INJEKSI 4 - TAK DENGAN NOTIFIKASI PERAWATAN BERKALA Esi Apriani Bunga; Menhya Snae; Heni
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5963

Abstract

Motorcycles are the most widely used mode of transportation for people in their daily activities. Although modern 4-stroke injection motorcycles are equipped with temperature indicators and service reminders, these features are still very simple and cannot provide detailed and real-time vehicle condition information. Previous research generally only focuses on engine temperature monitoring or oil change reminders based on mileage, so they have not integrated both functions in a single Internet of Things (IoT)-based system. Based on these conditions, this study aims to design and implement an Internet of Things (IoT)-based system that integrates engine temperature and mileage monitoring and provides automatic periodic maintenance notifications. The system uses a DS18B20 sensor to monitor engine temperature, an A3144 Hall Effect sensor to calculate mileage based on wheel rotation, an ESP32 microcontroller as the main controller, and a Telegram Bot as a medium for sending notifications via a Wi-Fi network. Functional testing was carried out on engine temperature readings, mileage calculations, ESP32 connectivity to the Wi-Fi network, the LCD display, and sending Telegram notifications. The test results showed that all system components functioned according to the design. The DS18B20 sensor successfully monitors engine temperature and sends a Telegram notification when the temperature reaches ≥90°C, then sends a reminder every 2 minutes as long as the temperature remains at or above 90°C, and stops the notification when the temperature drops below 90°C. The A3144 Hall Effect sensor successfully calculates mileage based on wheel rotation, while the system automatically sends an oil change notification when the mileage reaches 2,000 km.