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SISTEM INFORMASI TRACER STUDY ALUMNI UNIVERSITAS ISLAM INDRAGIRI BERBASIS WEB Rusli, Ahmad; Ilyas
JURNAL PERANGKAT LUNAK Vol 2 No 1 (2020): Jurnal Perangkat Lunak
Publisher : Indragiri Islamic University

Perguruan tinggi sangat membutuhkan informasi mengenai data alumni, keberadaan alumni merupakan bagian integral dari perguruan tinggi atau institusi pendidikan, melalui profil alumni, kita dapat menilai dan membuktikan kualitas sebuah institusi pendidikan. Tracer Study merupakan salah satu sarana yang digunakan untuk menelusuri informasi alumni dan mampu menyediakan berbagai informasi yang bermanfaat seperti data pribadi, riwayat pendidikan ataupun informasi riwayat pekerjaan. Dapat disimpulkan bahwa dengan adaya system informasi Tracer Study ini diharapkan dapat memantau keberadaan alumni dan mempermudahkan dalam mendata alumni serta dapat menyajikan informasi secara efisien.

The Influence of Personal Communication by Room Attendants on Guest Satisfaction at Manhattan Hotel Suesilowati, Suesilowati; Rusli, Ahmad; Frisiska, Frisiska
International Journal on Advanced Science, Education, and Religion Vol 8 No 2 (2025): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v8i2.1149

This study aims to analyze the influence of educational level, gender, and personal communication skills of room attendants on guest satisfaction at Hotel Manhattan Jakarta. A quantitative explanatory approach was employed, with purposive sampling used to select guests who met specific criteria, including a minimum one-night stay and prior interaction with a room attendant. Data were collected through a structured Likert-scale questionnaire and tested for validity and reliability using Pearson’s Product Moment correlation and Cronbach’s Alpha. The results of the study indicate that all questionnaire items are valid and reliable, with Cronbach’s Alpha values exceeding 0.86 for both personal communication and guest satisfaction variables. Linear regression analysis shows that personal communication has a significant positive effect on guest satisfaction, as evidenced by a t-value of 13.078 and a significance level of 0.000. The regression model Y=15.452+0.910XY = 15.452 + 0.910X suggests that each one-unit improvement in personal communication score increases guest satisfaction by 0.910 units. The coefficient of determination (R²) of 0.673 indicates that 67.3% of the variation in guest satisfaction is explained by personal communication, while the remaining 32.7% is influenced by other factors not covered in this study. These findings highlight the crucial role of personal communication in service delivery. For practical implications, hotel management should prioritize continuous training programs aimed at enhancing room attendants’ interpersonal skills, empathy, and responsiveness, as these factors directly contribute to guest satisfaction, positive word-of-mouth, and long-term brand reputation

The Influence of Personal Communication by Room Attendants on Guest Satisfaction at Manhattan Hotel Suesilowati, Suesilowati; Rusli, Ahmad; Frisiska, Frisiska
International Journal on Advanced Science, Education, and Religion Vol 8 No 2 (2025): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v8i2.1149

This study aims to analyze the influence of educational level, gender, and personal communication skills of room attendants on guest satisfaction at Hotel Manhattan Jakarta. A quantitative explanatory approach was employed, with purposive sampling used to select guests who met specific criteria, including a minimum one-night stay and prior interaction with a room attendant. Data were collected through a structured Likert-scale questionnaire and tested for validity and reliability using Pearson’s Product Moment correlation and Cronbach’s Alpha. The results of the study indicate that all questionnaire items are valid and reliable, with Cronbach’s Alpha values exceeding 0.86 for both personal communication and guest satisfaction variables. Linear regression analysis shows that personal communication has a significant positive effect on guest satisfaction, as evidenced by a t-value of 13.078 and a significance level of 0.000. The regression model Y=15.452+0.910XY = 15.452 + 0.910X suggests that each one-unit improvement in personal communication score increases guest satisfaction by 0.910 units. The coefficient of determination (R²) of 0.673 indicates that 67.3% of the variation in guest satisfaction is explained by personal communication, while the remaining 32.7% is influenced by other factors not covered in this study. These findings highlight the crucial role of personal communication in service delivery. For practical implications, hotel management should prioritize continuous training programs aimed at enhancing room attendants’ interpersonal skills, empathy, and responsiveness, as these factors directly contribute to guest satisfaction, positive word-of-mouth, and long-term brand reputation

The Influence of Personal Communication by Room Attendants on Guest Satisfaction at Manhattan Hotel Suesilowati, Suesilowati; Rusli, Ahmad; Frisiska, Frisiska
International Journal on Advanced Science, Education, and Religion Vol 8 No 2 (2025): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v8i2.1149

This study aims to analyze the influence of educational level, gender, and personal communication skills of room attendants on guest satisfaction at Hotel Manhattan Jakarta. A quantitative explanatory approach was employed, with purposive sampling used to select guests who met specific criteria, including a minimum one-night stay and prior interaction with a room attendant. Data were collected through a structured Likert-scale questionnaire and tested for validity and reliability using Pearson’s Product Moment correlation and Cronbach’s Alpha. The results of the study indicate that all questionnaire items are valid and reliable, with Cronbach’s Alpha values exceeding 0.86 for both personal communication and guest satisfaction variables. Linear regression analysis shows that personal communication has a significant positive effect on guest satisfaction, as evidenced by a t-value of 13.078 and a significance level of 0.000. The regression model Y=15.452+0.910XY = 15.452 + 0.910X suggests that each one-unit improvement in personal communication score increases guest satisfaction by 0.910 units. The coefficient of determination (R²) of 0.673 indicates that 67.3% of the variation in guest satisfaction is explained by personal communication, while the remaining 32.7% is influenced by other factors not covered in this study. These findings highlight the crucial role of personal communication in service delivery. For practical implications, hotel management should prioritize continuous training programs aimed at enhancing room attendants’ interpersonal skills, empathy, and responsiveness, as these factors directly contribute to guest satisfaction, positive word-of-mouth, and long-term brand reputation

BENTUK SOAL: PILIHAN GANDA KOMPLEKS Zulpan, Zulpan; Hariyati, Tri; Putri, Riska Aisyah; Saidah, Nur; Miftahurrohmah, Miftahurrohmah; Rusli, Ahmad
Jurnal Literasiologi Vol 14 No 2 (2025): Jurnal Literasiologi
Publisher : Yayasan Literasi Kita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47783/literasiologi.v14i2.978

Artikel ini bermaksud memberikan kontribusi pengetahuan kepada guru-guru tentang bentuk-bentuk pilihan ganda antara lain; bentuk sederhana, kompleks multiple answer, kompleks kategori. Metode penulisan dilakukan dengan menerapkan kajian pustaka dengan cara pencarian teori, pengelompokan teori, pengelolaan dengan proses sintesis, kemudian mengonstruksikan teori dan menciptakan konsep dan contoh tentang bentuk-bentuk pilihan ganda. Hasil pemikiran ini menciptakan sebuah konsep dan contoh yang mudah dipahami oleh guru tentang pilihan ganda bentuk sederhana, kompleks multiple answer, kompleks kategori. Artikel ini diharapkan menambah pemahaman guru dan dapat diimplementasikan pada kelas pembelajaran.

TEORI POPULASI DAN PENGAMBILAN SAMPEL Dewi, Isra; Khotimah, Husnul; Nasution, Rabiah; Zulpan, Zulpan; Hariyati, Tri; Rusli, Ahmad
Jurnal Literasiologi Vol 14 No 2 (2025): Jurnal Literasiologi
Publisher : Yayasan Literasi Kita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47783/literasiologi.v14i2.1026

Artikel ini bertujuan menjelaskan konsep-populasi dan sampel sebagai pondasi metodologis dalam penelitian. Secara keseluruhan, Artikel ini bertujuan memperkuat pemahaman peneliti pemula terkait pentingnya ketepatan dalam menentukan Batasan data. Metode yang di gunakan dalam artikel ini adalah metode studi pustaka. Dalam menggunakan studi pustaka berperan dalam mengumpulkan, menelaah, dan mensintesis beragam sumber buku seperti buku dan artikel ilmiah yang berbeda guna membentuk pemahaman konseptual yang dimaksud lebih terintegrasi. Berdasarkan pemahaman dapat disimpulkan bahwa penentuan dan pemilihan teknik sampel popualasi sangat penting dalam meningkaan validitas, reliabilitas dan kemampuan generalisasi hasil penelitian.

COMPARING DEEP LEARNING AND MACHINE LEARNING FOR DETECTING FAKE NEWS ON SOCIAL MEDIA Andryani, Ria; Julian, Dedek; Syaputra, Rezki; Syazili, Ahmad; Rusli, Ahmad; Ramadan, Rahmat; Negara, Edi Surya
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 9 No. 3 (2025): Volume 9, Nomor 3, September 2025
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v9i3.46370

One of the critical issues resulting from the increasing penetration of social media is the spread of fake news. This can damage public information and influence mass opinion, leading to conflict. To overcome this problem, machine learning and deep learning-based approaches have been continuously developed to detect fake news on various social media platforms automatically. This article aims to compare the effectiveness of these two approaches in detecting fake news. The methods used include the implementation of traditional machine learning algorithms, such as Support Vector Machines (SVM) and Random Forest, as well as deep learning-based approaches, including Long Short-Term Memory and Self-Organizing Maps. Datasets containing real and fake news from various social media sources are used to train and evaluate these models. Model performance is measured based on accuracy, precision, recall, and F1-score. This study aims to determine which approach is more effective and identify challenges in implementing these algorithms in a dynamic social media environment. The results obtained show that the Random Forest algorithm achieves an accuracy level of 100%, surpassing other algorithms, including Long Short-Term Memory with an F-1 Score of 97%, Self-Organizing Map with an F-1 Score of 96%, and Support Vector Machine with an F-1 Score of 92%.

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