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All Journal SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi
Taufiq Taufiq
Universitas Malikussaleh, Indonesia
Computer Science & IT Electrical & Electronics Engineering Engineering

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PENGARUH HUMAN CONTROL TERHADAP KEPERCAYAAN MAHASISWA TEKNIK INFORMATIKA DALAM PENGGUNAAN CLAUDE AI DI UNIVERSITAS MALIKUSSALEH Muksalmina Muksalmina; Taufiq Taufiq
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 3 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i3.350

Abstract

Generative AI assistants such as Claude AI are increasingly used by informatics students, yet trust in them depends not only on output quality but also on how much control users feel they have over the process. This study examines the effect of Human Control on trust among Informatics Engineering students at Universitas Malikussaleh using Claude AI. A cross-sectional survey of 55 students measured Human Control through four indicators (controlling AI decisions, correcting AI output, determining AI use, and retaining final decisions) and trust through an eight-item scale (1–5). Both Human Control (M = 3.95) and trust (M = 3.62) were high. The habit of checking AI output (M = 4.07) was stronger than the ability to fix wrong parts oneself (M = 3.76), and consistency of answer quality was the lowest-rated trust item (M = 3.49). Simple linear regression showed that Human Control had a positive and significant effect on trust (B = 0.733, β = 0.742, p < .001), explaining 55.1% of its variance (R² = .551). Perceived control is therefore a strong, but not the only, determinant of trust in generative AI, supporting learning designs that train students to verify and correct AI output.
ANALISIS TINGKAT KESADARAN MAHASISWA TERHADAP KEAMANAN AKUN PADA PENGGUNAAN LAYANAN DIGITAL Muhammad Rafli Daffa Aulia; Taufiq Taufiq
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 3 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i3.352

Abstract

The use of digital services, such as digital banking, social media, academic portals, and e-commerce platforms, has become an important part of university students’ daily activities. However, frequent use of digital services does not always ensure adequate account security practices, leaving accounts potentially vulnerable to phishing, credential theft, and account takeover. This study aims to describe students’ awareness of account security and their self-reported account protection behavior when using digital services. A quantitative survey was conducted using 100 questionnaire responses collected from students at Universitas Malikussaleh. The questionnaire consisted of ten statements measured on a five-point scale, comprising five items on account security awareness and five items on self-reported account protection behavior. Data were analyzed using achievement indices, descriptive categorization, and Spearman’s rank correlation. The results show that account security awareness reached 81.32% and was categorized as very high, while self-reported account protection behavior reached 77.56% and was categorized as high. The Spearman correlation test showed a positive and significant relationship between the two variables (rho = 0.747, p < 0.001). Awareness exceeded self-reported protection behavior by 3.76 percentage points. These findings indicate a descriptive gap between account security awareness and reported protection behavior, although this difference was not tested for statistical significance. The findings can serve as an initial basis for developing account security literacy and education programs in higher education. However, because the data were self-reported and the eligibility of all respondents was not fully confirmed, the results should be interpreted as exploratory and should not be generalized to all undergraduate students at Universitas Malikussaleh.
PENGARUH INTENSITAS PENGGUNAAN TIKTOK TERHADAP KONSENTRASI BELAJAR MAHASISWA Wahyu Abdillah Hidayat; Taufiq Taufiq
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 3 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i3.353

Abstract

Intensive TikTok use is often assumed to undermine students' ability to concentrate, yet inferential evidence from Indonesia remains limited. This study describes TikTok usage intensity and learning concentration among university students and examines the former's statistical effect on the latter. An online cross-sectional survey (13–14 October 2026) analysed 66 TikTok-using university students from 75 responses. Usage intensity (four indicators, six items; α = 0.80) and learning concentration (four indicators; five of six items scored after one item was dropped for a negative corrected item–total correlation; α = 0.69) were scored on a 1–5 scale; both were moderate (M = 3.08, SD = 0.70; M = 3.38, SD = 0.62). Simple linear regression showed a significant negative effect of usage intensity on learning concentration (B = −0.50, 95% CI [−0.68, −0.32], β = −0.57, p < .001, R² = 0.32); bootstrap and Spearman estimates agreed. However, the association weakened when only concentration items not mentioning TikTok were used (r = −0.33, R² = 0.11) and centred on losing concentration and TikTok-related distraction rather than general focus or comprehension. Given the cross-sectional design, self-reported measures, and non-probability sample, the findings indicate a statistical association, not causation. Managing TikTok use during study time is a sensible intervention target; future studies should use validated measures and longitudinal designs.
KEAMANAN SIBER DI ERA DIGITAL: TINJAUAN PENERAPAN DATA MINING UNTUK DETEKSI ANCAMAN PADA PELAKU USAHA KECIL Faizah Amirah Harahap; Taufiq Taufiq; Yanita Yanita
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 3 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i3.355

Abstract

The rapid digital transformation of Indonesian MSMEs has increased exposure to cyber threats such as phishing, malware, ransomware, and DDoS. This study aims to review the application of data mining and machine learning for cyber threat detection, especially in the context of small businesses. A systematic literature review (SLR) with the PRISMA approach was used. Articles were collected from Google Scholar and Semantic Scholar (2018–2026), screened using inclusion and exclusion criteria, and analyzed descriptively. From 19 collected articles, 11 were reviewed: seven on data mining/machine learning for cyber threat detection and four on MSME cybersecurity. The results show that Random Forest, C4.5/J48, SVM/SMO, Naive Bayes, and K-Means are commonly used. Feature selection (Information Gain, PCA) and class balancing (SMOTE) improve accuracy and training efficiency, with reported accuracy generally above 90%. However, most studies use public datasets such as KDD Cup’99, AWID, CICIDS2017, and CIC-MalMem-2022, not data from MSME environments. Key challenges include class imbalance, false positives, limited resources, data quality, scalability, and low digital literacy. Non-technical factors—management commitment, governance, training, and cost—are also critical. Data mining has potential for MSME threat detection, but implementation requires lightweight, context-specific models and organizational readiness.
HUBUNGAN INTENSITAS PENGGUNAAN GENERATIVE AI DENGAN REGULASI DIRI DALAM BELAJAR PEMROGRAMAN PADA MAHASISWA TEKNIK INFORMATIKA: STUDI KUANTITATIF KORELASIONAL Diva Nadya Putri; Taufiq Taufiq; Yunita Yunita
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 3 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i3.357

Abstract

Generative AI (GenAI) is increasingly used by students to learn programming, yet it remains unclear how the intensity of its use relates to self-regulated learning (SRL). This study examined the relationship between GenAI usage intensity and SRL in programming among informatics engineering students. A cross-sectional correlational survey was conducted using convenience sampling (n = 86). Usage intensity was measured by frequency and duration of use over the previous 30 days and expressed as estimated hours per week. SRL was measured with a 16-item adapted version of the Self-Regulation of Learning Instrument for Undergraduates, grounded in Zimmerman's cyclical model. Data were analyzed using Spearman's correlation. Usage intensity showed a weak positive correlation with SRL (ρ = 0.272, p = 0.011). However, the association was not robust: it was not significant after excluding 22 respondents with identical answers to all items (ρ = 0.116, p = 0.363) or after controlling for semester and course status (partial ρ = 0.191, p = 0.081). In exploratory analyses, duration of use, but not frequency, remained associated with SRL. The findings are correlational and should be interpreted cautiously.
PENGARUH PERSEPSI KEMUDAHAN DAN PERSEPSI MANFAAT TERHADAP MINAT MAHASISWA MENGGUNAKAN QRIS SEBAGAI ALAT PEMBAYARAN DIGITAL Muhammad Fauzul; Taufiq Taufiq
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 3 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i3.361

Abstract

The Quick Response Code Indonesian Standard (QRIS) has become a national digital payment standard, and university students are among its most active potential users. This study examines the effect of perceived ease of use and perceived usefulness on students’ intention to use QRIS based on the Technology Acceptance Model. A quantitative survey design was applied, and data were collected through an online questionnaire with a five-point Likert scale from 66 active students of Universitas Malikussaleh who had used QRIS, selected by purposive sampling. The data were analysed using validity and reliability tests, classical assumption tests, and multiple linear regression. All items were valid and all variables were reliable. Perceived ease of use had a positive and significant effect on intention to use QRIS (p = 0.002), and so did perceived usefulness (p = 0.019). Simultaneously, both variables had a significant effect (F = 25.483; p < 0.001) and explained 43.0% of the variance in intention to use, with perceived ease of use as the dominant factor. However, the effect of perceived usefulness was not significant when heteroscedasticity-robust standard errors were applied, so this result should be interpreted with caution.
ANALISIS TINGKAT PENERIMAAN TEKNOLOGI ARTIFICIAL INTELLIGENCE PADA MAHASISWA DAN MASYARAKAT Arya Bagas Saika; Taufiq Taufiq
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 3 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i3.363

Abstract

Artificial Intelligence (AI) is now widely used in academic and daily activities, yet its acceptance may differ across user groups. This study measures the level of AI acceptance among university students and the general public, examines the effect of perceived ease of use and perceived usefulness on behavioral intention, and tests differences between the two groups. A quantitative survey based on the Technology Acceptance Model (TAM) was conducted with 49 respondents (30 students and 19 members of the public). Data were analysed using descriptive statistics, path analysis, and the Mann–Whitney test. AI acceptance was high (M = 3,60). Perceived ease of use significantly affected perceived usefulness (β = 0,830) and behavioral intention (β = 0,448), whereas the effect of perceived usefulness on behavioral intention was not significant (β = 0,280). Behavioral intention positively affected daily AI use (β = 0,411) but explained only a small share of its variance (R² = 0,169). No significant differences were found between students and the public on any variable. The findings suggest that ease of use is the key to AI adoption, so simple interfaces and user training should be prioritised.
ANALISIS PENGARUH PENGGUNAAN MEDIA SOSIAL TERHADAP PRODUKTIVITAS MAHASISWA Muhammad Fariz Riski; Taufiq Taufiq
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 3 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i3.365

Abstract

Social media has become embedded in university students' daily routines, yet its relationship with academic productivity remains inconclusive. This study examined the relationship between social media use and student productivity using a quantitative, cross-sectional survey. Data were collected through an online five-point Likert questionnaire from 30 university students between 13 and 21 October 2026. Social media use (eight items) and productivity (four items) showed high internal consistency (Cronbach's α = 0.889 and 0.929). Simple linear regression indicated a positive association (B = 0.509, 95% CI [0.103, 0.916], p = 0.016, R² = 0.191), but the linearity assumption was violated and the association was not significant under HC3 robust standard errors (p = 0.101). A quadratic model fit substantially better (R² = 0.469) and showed an inverted U-shaped pattern that peaked at a moderate-to-high use score (about 3.75 on a 1–5 scale). Academic use of social media correlated strongly with productivity (r = 0.754) and was the only significant predictor in the extended model. Given the small convenience sample and the self-reported, cross-sectional design, the findings are associational and exploratory rather than causal.
Co-Authors Arya Bagas Saika Diva Nadya Putri Faizah Amirah Harahap Muhammad Fariz Riski Muhammad Fauzul Muhammad Rafli Daffa Aulia Muksalmina Muksalmina Wahyu Abdillah Hidayat YANITA YANITA Yunita Yunita