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All Journal Jurnal Pseudocode Al Ishlah Jurnal Pendidikan Prosiding Seminar Nasional Teknoka Jurnal Sisfokom (Sistem Informasi dan Komputer) Journal Technology and Implementation Bussines IJID (International Journal on Informatics for Development) Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi dan Terapan Bisnis Bulletin of Information Technology (BIT) Jurnal Teknologi dan Terapan Bisnis JURNAL TEKNIK INFORMATIKA DAN KOMPUTER Jurnal Padamu Negeri Jurnal Pendidikan Sains dan Teknologi Terapan Jurnal Sains dan Teknologi
Isa Faqihuddin Hanif
Universitas Muhammadiyah Prof. Dr. HAMKA
Agriculture, Biological Sciences & Forestry Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Transportation Other

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Perbandingan Algoritma NBC dan SVM dalam Analisis Sentimen Terhadap Dampak Kesehatan Rokok Elektrik Hani Rahmawati; Isa Faqihuddin Hanif
Progresif: Jurnal Ilmiah Komputer Vol 21, No 2 (2025): Agustus
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i2.2903

Abstract

There is no optimal method for accurately classifying public opinion, so an analytical approach is needed that is able to capture the nuances of public sentiment regarding the health impacts of e-cigarettes. This study examines public perception of the health impacts of electronic cigarettes using two classification algorithms: NBC and SVM. Data sourced from social media X (formerly Twitter) underwent stages of data cleaning, sentiment labeling, TF-IDF weighting, and data balancing through the SMOTE technique. Performance evaluation was conducted using four key metrics: accuracy, precision, recall, and f1-score. NBC achieved 80.5% accuracy with high recall despite low precision. In contrast, SVM recorded superior performance with 95.2% accuracy and more consistent balance between precision and recall. Therefore, the Support Vector Machine (SVM) algorithm is recommended as a more effective method for analyzing public sentiment regarding electronic cigarettes.Keywords: Electronic Cigarette; Entiment Analysis; Naïve Bayes Classifier; Support Vector Machine.AbstrakBelum adanya metode yang optimal untuk mengklasifikasikan opini publik secara akurat, sehingga diperlukan pendekatan analitik yang mampu menangkap nuansa sentimen masyarakat terhadap dampak kesehatan rokok elektrik. Studi ini mengkaji persepsi publik terhadap dampak kesehatan rokok elektrik dengan menerapkan dua algoritma klasifikasi: NBC dan SVM. Data yang bersumber dari media sosial X (eks Twitter) diproses melalui tahapan pembersihan data, pelabelan sentimen, pembobotan menggunakan TF-IDF, serta penyeimbangan data menggunakan teknik SMOTE. Evaluasi performa dilakukan menggunakan empat metrik utama: accuracy, precision, recall, dan f1-score. NBC memperoleh akurasi sebesar 80,5% dengan recall tinggi meskipun precision-nya rendah. Sebaliknya, SVM mencatat performa superior dengan akurasi 95,2% serta keseimbangan precision dan recall yang lebih konsisten. Oleh karena itu, algoritma Support Vector Machine (SVM) direkomendasikan sebagai metode yang lebih efektif dalam menganalisis sentimen publik terhadap rokok elektrik.Kata kunci: Analisis Sentimen; Rokok Elektrik; Naïve Bayes Classifier; Support Vector Machine.
Perceptions of Education and Non-Education Students towards the Campus Teaching Program: A Rasch Model Analysis Isnaini Handayani; Tri Wintolo Apoko; Arum Fatayan; Benny Hendriana; Irdalisa Irdalisa; Isa Faqihuddin Hanif
AL-ISHLAH: Jurnal Pendidikan Vol 18, No 1 (2026): MARCH 2026
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v18i1.7894

Abstract

The Teaching Campus Program, as part of the Merdeka Belajar–Kampus Merdeka (MBKM) initiative, aims to enhance students’ competencies through direct engagement in school environments. However, differences in academic backgrounds may influence how students perceive the program’s contribution to their learning outcomes. This study examines the perceptions of education and non-education students toward the program.This study employed a cross-sectional survey design involving 235 university students who completed the Teaching Campus Program (Batches 2–8) at a private university in Jakarta. Data were collected באמצעות closed- and open-ended questionnaires using a five-point Likert scale. The instrument’s validity and reliability were analyzed using the Rasch Model with Winsteps software, including item fit, person fit, and reliability indices. Descriptive statistics were used to interpret students’ perceptions.The findings indicate that students from education majors reported strong agreement that the program enhances pedagogical, professional, social, and personal competencies relevant to their future careers as teachers. Non-education students also expressed positive perceptions, particularly regarding the development of soft skills such as communication, collaboration, adaptability, and leadership, although the perceived relevance to their academic discipline was lower. Overall, most participants acknowledged the program’s contribution to skill development and professional readiness.These results suggest that the Teaching Campus Program is positively perceived by both groups, with varying degrees of relevance depending on academic background. The program supports competency development and experiential learning, although improvements in implementation and alignment with students’ fields of study are needed.
Perancangan Desain UI/UX Berbasis Scan Barcode Dengan Metode Design Thinking Untuk Pemesanan Makanan Ahmad Rayhaan Yusri; Isa Faqihuddin Hanif; Muhammad Daffa Al-farel; Muhammad Naufalrio Zaandami; Muhammad Yasin
Bulletin of Information Technology (BIT) Vol 5 No 2 (2024): Juni 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i2.1340

Abstract

For those who want an authentic taste of the typical Tegal cuisine, Warkop Bu Haji is the top choice theme. They can enjoy gourmet gourmets as well as traditional drinks such as coffee, tea, and fresh drinks with naturally produced fruits. Warkop Mother Haji wants to use new technology to improve service for operations and customer experience. Warp owners are looking for creative solutions in this digital age, when the demand for ease and speed of ordering food is rising. The focus of the research is a food ordering system that uses barcode scanning and the latest technology to improve the user experience. By using a mobile device to scan the barcode on the table, customers can easily order food. We work hard to ensure that our customers have a satisfactory and effective experience. Due to technological developments and changing consumer preferences, digital food ordering apps are becoming increasingly popular. This research is important because it allows customers to order food easily and quickly. User/User Interface (UI/UX) design and technical functionality are crucial. The research uses the Design thinking Method, which prioritizes users in innovative solutions. Prototype research involved 15 customer respondents and 1 partner respondent. The prototype design value for the customer was 86.6%, and the customer questionnaire score was 97.1%. The prototipe design score for the partner was 90%, and partner questionnary value was 91.6%. The research is expected to be beneficial to Warkop Mother Haji and industry. With a better customer experience, it is expected to improve the reputation and expand the customer base.
Analysis of Public Sentiment Towards POLRI's Performance using Naive Bayes and K-Nearest Neighbors Yusuf Handika; Isa Faqihuddin Hanif; Firman Noor Hasan
IJID (International Journal on Informatics for Development) Vol. 13 No. 1 (2024): IJID June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2024.4500

Abstract

Using Twitter as a platform for sharing information includes tracking public perceptions of the performance of the Indonesian National Police (POLRI). Public sentiment assists as a gauge for evaluating POLRI's operational capabilities and supports decision-making processes to enhance the organization's reputation. However, raw public opinion data often requires careful analysis for decision-making. Hence, conducting sentiment analysis of Twitter data is crucial. This analytical process involves extracting and classifying opinions into neutral, positive, and negative sentiments. This study employs two distinct sentiment analysis methods: the Naive Bayes algorithm and the K-Nearest Neighbors. Analysis of 1285 tweets reveals prevailing satisfaction with POLRI's performance, indicated by many positive sentiments. However, there is also a notable number of negative feelings. The assessment from confusion matrix results demonstrate that the Naive Bayes algorithm achieves 99.03% accuracy, while the K-Nearest Neighbors algorithm achieves 95.33% accuracy. By leveraging insights from public opinion data, POLRI can make more accurate and timely decisions, enabling it to better fulfill the community's needs and expectations. This strategic use of data enhances service quality and bolsters POLRI's favorable image among the public fosters more harmonious relationships and enhances public trust in law enforcement agencies.
KETERGANTUNGAN MAHASISWA TERHADAP PENGGUNAAN KECERDASAN BUATAN DALAM PENYELESAIAN TUGAS AKADEMIK DI ERA DIGITAL Egi Bayu Setiawan; Muhammad Adrian; Isa Faqihuddin Hanif
Jurnal Padamu Negeri Vol. 3 No. 1 (2026): Januari : Jurnal Padamu Negeri (JPN)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/swcm5x77

Abstract

The rapid development of artificial intelligence (AI) has significantly influenced higher education, particularly in supporting students’ academic activities. This study aims to analyze the level of student dependence on AI in completing academic assignments and its implications for critical and creative thinking skills. A quantitative descriptive approach was employed by distributing questionnaires to 20 undergraduate students from various universities and academic disciplines. The results indicate that AI is widely perceived as helpful and time-efficient; however, excessive reliance may reduce students’ independence in problem-solving and analytical thinking. These findings highlight the importance of balanced and responsible AI utilization to ensure that technological assistance does not hinder students’ intellectual development.
Perancangan Arsitektur Teknologi Informasi untuk Infrastruktur Data Center pada Perusahaan Start-Up Rinditya Putri Maulana; Isa Faqihuddin Hanif; Nisya Putri Rahmadani; Anita Rahayu
Jurnal Pendidikan Sains dan Teknologi Terapan | E-ISSN : 3031-7983 Vol. 2 No. 4 (2025): Oktober - Desember
Publisher : CV.ITTC INDONESIA

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Abstract

Penelitian ini berangkat dari kebutuhan krusial perusahaan start-up yang beroperasi dalam lingkungan bisnis yang sangat dinamis dan mengharuskan infrastruktur pusat data yang tidak hanya skalabel tetapi juga efisien biaya secara fundamental. Pusat data tradisional (DC) yang membutuhkan investasi modal (Capex) besar dan manajemen operasional yang kaku seringkali tidak relevan bagi start-up yang fokus pada pertumbuhan cepat dan iterasi produk. Oleh karena itu, tujuan utama penelitian ini adalah merumuskan model arsitektur teknologi informasi dan komunikasi (TIK) DC yang optimal bagi start-up, di mana desain tersebut secara inheren mampu menyeimbangkan metrik teknis seperti ketersediaan dan latensi dengan metrik bisnis seperti Total Cost of Ownership (TCO) dan time-to-market. Metodologi yang digunakan mengadopsi pendekatan Design Science Research (DSR), yang diawali dengan analisis komprehensif terhadap kebutuhan spesifik start-up (termasuk proyeksi pertumbuhan pengguna dan beban kerja), dilanjutkan dengan evaluasi opsi infrastruktur terkini (seperti Software-Defined Data Center dan Hybrid Cloud), dan diakhiri dengan perancangan arsitektur logis serta fisik yang divalidasi melalui skenario beban kerja simulasi. Hasil penelitian ini mengusulkan sebuah arsitektur Hybrid Cloud yang diperkuat oleh teknologi Kontainerisasi (Kubernetes), memungkinkan alokasi sumber daya yang gesit, proses deployment yang otomatis melalui prinsip Continuous Integration/Continuous Deployment (CI/CD), dan strategi Disaster Recovery yang terdistribusi. Kesimpulan utama menunjukkan bahwa arsitektur yang diusulkan berhasil mengurangi kompleksitas manajemen TIK secara signifikan, sekaligus memberikan kerangka kerja yang fleksibel bagi start-up untuk mempertahankan daya saing dan mendukung pertumbuhan eksponensial tanpa menghadapi bottleneck infrastruktur.
Perbandingan Infrastruktur Digital pada Laboratorium TI dan Perpustakaan di Lingkungan Kampus FTII UHAMKA Luthfiah Az Zahra; Alifha Yasinta Rachman; Isa Faqihuddin Hanif
Jurnal Sains Dan Teknologi | E-ISSN : 3063-9980 Vol. 2 No. 2 (2025): Oktober - Desember
Publisher : GLOBAL SCIENTS PUBLISHER

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

Abstract

Penelitian ini bertujuan membandingkan kualitas infrastruktur digital pada Perpustakaan dan Laboratorium Teknologi Informasi (Lab TI) FTII UHAMKA, mengingat tuntutan perkembangan TIK pada institusi pendidikan. Menggunakan pendekatan deskriptif kuantitatif, 30 responden yaitu mahasiswa, dinilai melalui kuesioner skala Likert, dan dianalisis menggunakan median. Hasil menunjukkan bahwa ketersediaan fasilitas dasar di kedua unit berada pada kategori cukup (Median = 3). Namun, ditemukan kelemahan krusial pada kecepatan dan stabilitas jaringan Wi-Fi serta kondisi perangkat pendukung, yang keduanya dinilai buruk (Median = 2). Kesimpulannya, meskipun infrastruktur digital telah tersedia, kualitasnya belum optimal, terutama pada aspek konektivitas, menghambat dukungan penuh terhadap pembelajaran berbasis teknologi. Penelitian ini merekomendasikan peningkatan kapasitas jaringan dan peremajaan perangkat keras.
Co-Authors Ahmad Rayhaan Yusri Alifha Yasinta Rachman Anita Rahayu Arum Fatayan Aulia Rachman Benny Hendriana Dede Ismail Egi Bayu Setiawan Firman Noor Hasan Ghifar Marhaban Sinambela Hani Rahmawati Hasan Dhiaulhaq Thalib Hermawan, Ahmad Rijal Hermawan Hisyam Humaidi Irdalisa Irfan Ricky Afandi Isnaini Handayani Luthfiah Az Zahra Muhammad Adrian Muhammad Daffa Al-farel Muhammad Naufalrio Zaandami Muhammad Yasin Nisya Putri Rahmadani Rinditya Putri Maulana Tri Wintolo Apoko Yusuf Handika