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All Journal Jurnal Ilmiah Ekonomi Islam Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Gizi dan Pangan Soedirman (JGPS) JURNAL REKAYASA TEKNOLOGI INFORMASI Angkasa: Jurnal Ilmiah Bidang Teknologi JURNAL GEOGRAFI Geografi dan Pengajarannya Journal Peqguruang: Conference Series Emerging Information Science and Technology Action Research Journal Indonesia (ARJI) West Science Business and Management AT TARIIZ : Jurnal Ekonomi dan Bisnis Islam International Journal of Technology Vocational Education and Training (IJTVET) Applied Information Technology and Computer Science (AICOMS)
Kharisma, Kharisma
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Model Analisis Sentimen pada Ulasan Pengguna Mobile Banking Menggunakan Kombinasi K-Means dan Naive Bayes Cahayana, Nika Nur; Aesyi, Ulfi Saidata; Kharisma, Kharisma
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 17, No 1 (2025): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v17i1.2500

Abstract

Application Mobile Banking Sumsel Babel (BSB) faces the problem of low user satisfaction with a System Usability Scale (SUS) score of 31.46, which is included in the "Not Acceptable" category. The main purpose of this study is so that South Sumatra Babel can make improvements to the BSB application. The methods used include K-Means for clustering review data and Naïve Bayes for classifying user review sentiment. The study found four clusters of user reviews, of which sentiment in cluster 0 and cluster 3 were classified as negative, while cluster 1 and cluster 2 were classified as positive. Negative clusters indicate problems in access, account activation, failed transactions, and frequent application errors. In conclusion, users of the BSB application experienced various difficulties and frustrations related to the stability and reliability of the application, indicating an urgent need for improvement, especially in cluster 0 and cluster 3
The Effect of Compensation, Work Environment, and Employer Branding on the Interest in Applying for Work of Nusa Putra University Students Anjani, Meri; Lutfiani, Maulita; Kharisma, Kharisma
West Science Business and Management Vol. 3 No. 02 (2025): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v3i02.2001

Abstract

This study aims to analyze the influence of compensation, work environment, and employer branding on the job application intention of 8th semester students at Universitas Nusa Putra. Given Generation Z's crucial role in the future workforce and their high turnover rates, understanding the factors influencing their job application interest is vital. Employing a quantitative correlational approach with Proportionate Stratified Random Sampling, the study involved 3,295 students. Results indicate that work environment and employer branding have a positive and significant impact on job application intention, while compensation does not significantly influence it. Simultaneously, the three variables explain 71.8% of the variation in job application intention. These findings underscore the importance for companies to focus on enhancing work environment quality and developing strong employer branding strategies, and for universities to facilitate collaborations with companies excelling in these aspects. This research contributes to understanding Generation Z's work preferences and aids companies in devising more effective recruitment strategies.
Perbandingan Kinerja Algoritma Jaro-Winkler dan Levenshtein Distance untuk Deteksi Kesalahan Penulisan Bahasa Indonesia pada Karya Ilmiah Mahasiswa Darmanto, Darmanto; Kharisma, Kharisma; Muhammad, Ar-Razy; Wahyudi, Eka
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 9, No 2 (2025): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jurti.v9i2.19134

Abstract

Penelitian ini meneliti keterampilan menulis mahasiswa di Politeknik Negeri Ketapang, khususnya dalam konteks penulisan karya ilmiah. Fokus utama penelitian adalah mengidentifikasi dan memperbaiki kesalahan umum, termasuk penggunaan ejaan yang kurang tepat, pemilihan kata yang tidak sesuai, susunan kalimat yang kurang koheren, dan pembentukan paragraf yang kurang efektif. Pentingnya pemahaman tata bahasa dan kaidah kebahasaan dalam menciptakan tulisan yang runtut menjadi sorotan dalam kajian ini. Kesalahan ejaan, sebagai elemen krusial dalam penulisan, dapat dikurangi melalui penerapan aturan yang dijelaskan dalam Pedoman Umum Ejaan Bahasa Indonesia (PUEBI). Selain itu, permasalahan typographical error yang timbul dari tata letak huruf pada keyboard dapat diatasi dengan mempertimbangkan usulan ejaan dari Kamus Besar Bahasa Indonesia. Penelitian ini juga mengusulkan pemanfaatan metode Approximate String Matching (ASM), terutama Algoritma Jaro-Winkler dan Levenshtein Distance, sebagai solusi untuk mengidentifikasi dan memberikan rekomendasi perbaikan terhadap kesalahan penulisan. Tujuan utama penelitian adalah mengembangkan sistem informasi pendeteksi kesalahan penulisan ejaan yang dapat digunakan oleh mahasiswa sebagai alat bantu untuk meningkatkan kualitas Tugas Akhir sesuai dengan standar penulisan yang berlaku. Harapannya, hasil penelitian ini dapat secara efektif meningkatkan kualitas karya tulis ilmiah mahasiswa di Politap, sekaligus memberikan kontribusi positif pada pengembangan sistem pengecekan kesalahan penulisan bahasa Indonesia secara lebih luas.
Implementing the MEA Learning Model to Foster Meaningful Learning: An Evaluation of Its Effectiveness on Student Achievement Hidayati, Ulfah; Hidayah, Fahrian Akbar; Kharisma, Kharisma; Muthmainah, Gusti Ayu Nur; Aziz, Fikri; Azizah, Nurul; Kuswanto, Riyan Terna
Action Research Journal Indonesia (ARJI) Vol. 7 No. 3 (2025): Action Research Journal Indonesia (ARJI)
Publisher : PT. Pusmedia Group Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61227/arji.v7i3.417

Abstract

This study was conducted because many students still face difficulties in learning, as the instructional methods used have not yet been implemented in ways that facilitate student understanding. Therefore, the Means-Ends Analysis (MEA) learning model was employed to guide students through a step-by-step thinking process, aiming to make it easier for them to achieve their learning goals and improve their academic performance. The purpose of this study was to examine the effect of the Means-Ends Analysis (MEA) learning model on students' learning outcomes in Islamic Religious Education (PAI) at SMA Negeri 10 Bandar Lampung. The research employed a quantitative method with a quasi-experimental design. The sample was selected randomly, with class X.5 assigned as the experimental group and class X.1 as the control group, each consisting of 30 students. The instrument used was a multiple-choice test. The data analysis began with tests for normality and homogeneity, followed by hypothesis testing using the Independent Samples T-Test if the data were normally distributed and homogeneous, or the Mann-Whitney U Test if the data were not normally distributed, to determine the effectiveness of the MEA learning model on student learning outcomes. The normality test results indicated that the data were not normally distributed (sig. 0.000 < 0.05), so the Mann-Whitney U Test was used, yielding a value of 347.500. The homogeneity test showed that the data were homogeneous (sig. 0.309 > 0.05). The hypothesis test results revealed a significance value of 0.757 (> 0.05), indicating that there was no significant difference between the experimental and control groups. Therefore, the MEA model has not been proven effective in improving learning outcomes in Islamic Religious Education. Other contributing factors, such as student motivation and the teacher’s instructional approach, also need to be considered. The research findings suggest that the implementation of the Means-Ends Analysis (MEA) learning model did not significantly influence the improvement of students’ academic performance. This may be due to several factors, including students’ limited understanding of the steps involved in the MEA model, restricted instructional time, or suboptimal implementation by the teacher. It is suspected that the application was either not optimal or not well aligned with students’ characteristics. Therefore, it is recommended that teachers adopt instructional models that are better suited to students' needs and engage in evaluation and training efforts to enhance the quality of instruction.
Decision Support System for Determining Outstanding Teachers Using the Simple Additive Weighting (SAW) Method: Sistem Pendukung Keputusan Penentuan Guru Berprestasi Dengan Menggunakan Metode Simple Additive Weighting (SAW) kharisma, kharisma; Prima, Wahyu; Efendi, Raimon
International Journal of Technology Vocational Education and Training Vol. 3 No. 2 (2022): IJTVET Vol.3 No.2 (2022)
Publisher : Perkumpulan Doktor Indonesia Maju (PDIM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46643/ijtvet.v3i2.111

Abstract

In the world of education, the figure of a qualified educator is needed. The main task of the teacher is to teach, educate, guide, direct, train, assess, and evaluate students. In order to improve the quality of education, it is necessary to have a form of appreciation so that the quality of a teacher is even better. The form of appreciation for the teacher is applied by selecting outstanding teachers. The problem is that the selection process for outstanding teachers is still subjective. Because it is only based on the personal opinion of each teacher and is not based on certain criteria. The method used in this study is the Simple Additeve Weighting (SAW) method, often known as the weighted addition method. To avoid the subjectivity of the resulting decisions, a decision support system (DSS) is needed that can help assess teacher performance in deciding to become an outstanding teacher.
Co-Authors Angesti, Annisa Nursita Anjani, Meri arif ashari Arif Himawan, Arif Asri asri Ayu Ciptaningsih, Sri AZIZ, FIKRI Berlina, Laila Indah Cahayana, Nika Nur Cigmawanti Septianingsih, Cindy Darmanto Darmanto Dwiyana, Parlin Efendi, Raimon Eka Wahyudi Hasibuan, Ahmad Fauzul Hakim Hidayah, Fahrian Akbar Ichsan Ichsan Jamaludin, Syarif Kuswanto, Riyan Terna Lestari Lestari Liliandriani, Andi Lutfiani, Maulita Muhammad Reza Muhammad, Ar-Razy Muthmainah, Gusti Ayu Nur NANI HANIFAH NURUL AZIZAH Prikhatina, Ratih Agustin Prima, Wahyu Puji Winar Cahyo Reghita , Lola Rosa, Amalia Fadila Salsabila, Dhea Marliana Tasya Aldawiyah , Syarifah Ulfah Hidayati Ulfi Saidata Aesyi Vivianlai, Stevani Wardoyo, Muhammad Asrori Indra