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All Journal PROtek : Jurnal Ilmiah Teknik Elektro Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Jurnal INSYPRO (Information System and Processing) Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo Jurnal Informasi Kesehatan Indonesia (JIKI) Journal of Health Sciences Ainet : Jurnal Informatika Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda (JIPIKI) Babali Nursing Research Tangible Journal Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Indonesian Journal of Applied Research (IJAR) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Al-Khidmah Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer PELS (Procedia of Engineering and Life Science) Jurnal Informatika Progres Media Bina Ilmiah International Journal of Health and Information System (IJHIS) Jurnal Abdimas Jatibara VISA: Journal of Vision and Ideas ARUS JURNAL SAINS DAN TEKNOLOGI International Journal of Research in Counseling Kajian Ilmiah Mahasiswa Administrasi Publik (KIMAP) Jurnal Medis Umum
Wahyuni, Titin
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Professional Identity Development of Online Counselors: Voices from Teletherapy Platforms Faida, Eka Wilda; Wahyuni, Titin; Masyfufah, Lilis 
International Journal of Research in Counseling Vol. 4 No. 1 (2025)
Publisher : Yayasan Minang Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70363/ijrc.v4i1.309

Abstract

Background. The rapid growth of teletherapy platforms has redefined counseling practices, requiring counselors to negotiate new roles, boundaries, and self-concepts. Professional identity development in online counseling is shaped by unique digital interactions, technological mediation, and evolving client expectations, yet empirical insights into this phenomenon remain limited. Purpose. This qualitative study aimed to explore how online counselors construct and experience their professional identity within teletherapy platforms. Specifically, it examined the factors that influence their sense of competence, role boundaries, ethical awareness, and connection with clients in a virtual counseling environment. Method. The study involved 25 licensed counselors from diverse backgrounds who actively deliver counseling services through major teletherapy platforms. Data were collected through in-depth semi-structured interviews and analyzed thematically using an interpretive phenomenological approach. Results. The study involved 25 licensed counselors from diverse backgrounds who actively deliver counseling services through major teletherapy platforms. Data were collected through in-depth semi-structured interviews and analyzed thematically using an interpretive phenomenological approach. Conclusion. The findings revealed that online counselors experience identity development as a dynamic process characterized by adaptation to digital tools, redefinition of the counselor-client relationship, and negotiation of ethical standards in a virtual context. Key themes included increased flexibility and reach, feelings of isolation from professional communities, the need for continuous digital literacy, and tensions between traditional counseling norms and platform-driven practices.
Game Edukasi Berbasis Android sebagai Media Pembelajaran Matematika untuk Anak Tunarungu Bakti, Rizki Yusliana; Wahyuni, Titin; Hayat, Muhyiddin A M; Ridwang, Ridwang
PROtek : Jurnal Ilmiah Teknik Elektro Vol 8, No 1 (2021): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v8i1.2377

Abstract

Education is a right for every individual. Not only those with normal conditions, but also those with special needs such as the deaf. Limited intellectual ability in deaf children has consequences for their difficulties in attending academic lessons including maths lessons. This research aims to create an application as a learning medium to attract deaf children in developing their intelligence. This application was created as a means to provide convenience to deaf children in helping the learning process of mathematics. This study uses observation data collection methods, interviews / questionnaires and library studies. The design method used is the waterfall and the testing technique used is Integration and System testing. The result of this study is an android-based game application named math games. The test results show that this application is easy to learn and there are media that make childrenhappy.
Analisis Bibliometrik Penelitian Pinjaman Online: Tren, Tema, dan Kontribusi Ilmiah Dari 2019 Hingga 2023 Fitrianti, Dwi; Wahyuni, Titin; Amelia, Azarine Nahdah; Octavia, Winda Dwi; Riyadi, Slamet; Pandin, Maria Yovita R.
VISA: Journal of Vision and Ideas Vol. 4 No. 3 (2024): VISA: Journal of Vision and Ideas
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i3.3627

Abstract

The aim of this study is to analyze the research topics of online lending along with the trends, themes and contributions used. The output of this study is to find other topics that can be used as research variables in the future. The research method used is a literature review using bibliometric analysis extraction through the Publish or Perish application with the Google Scholar database. After narrowing down the research results to journal articles specifically on online lending, 122 articles were obtained from 200 initial search results.The research results were then compiled through the Mendeley application and visualized through the VOSviewer application to see research trends.The results showed that the classification of online lending topics was divided into four clusters centered on fintech lending, p2p lending, consumer protection and pandemic. This research is limited by the lack of diversity in the research topics examined and the software used.
Prediksi Tingkat Kelulusan Menggunakan K-Means Pada Program Studi Informatika Unismuh Makassar Irhamna Rachman, Fahrim; Mujadilah, Siti; Wahyuni, Titin; Anas, Lukman
JURNAL FASILKOM Vol. 13 No. 3 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i3.6061

Abstract

Predicting timely graduation brings numerous benefits not only to students but also to the university itself. Creating a graduation prediction model assists students and academic advisors in fostering a positive environment that encourages on-time graduation by developing a predictive model for graduation rates using the K-means data mining method in the Informatics study program at Universitas Muhammadiyah Makassar. This method is used to cluster students based on attributes such as total credits taken, semester Grade Point Average (GPA), and overall Cumulative Grade Point Average (CGPA). The clustering aims to identify patterns and characteristics of student graduation. Data from several semesters is collected and preprocessed, including data normalization and transformation. The research steps involve data preprocessing, cluster labeling, distance calculation to cluster centers, and result analysis. The analysis shows that the K-means method can generate student clusters with varying graduation rate patterns. The formed clusters can be interpreted as groups of students with potential for timely graduation or groups needing more attention to achieve on-time graduation. Empirical validation is performed by comparing K-means prediction results with actual graduation data. Accuracy measurement involves calculating the percentage of similarity between predictions and actual data. Empirical validation results demonstrate the accuracy level, which can serve as a benchmark for assessing the performance of this prediction model. This study aims to provide deeper insights into factors influencing student graduation and potentially support decision-making at the academic level. Keywords: Graduation Prediction, Data Mining, K-Means, Analysis, Clustering, Empirical Validation.
A Death Rate in Patients Ngudi Waluyo Blitar District Hospital Jayanti, Krisnita Dwi; Hidayat, Andra Dwitama; Wahyuni, Titin; Prodyanatasari, Arshy; Bisono, Eva Firdayanti; Maharani, Eva Ratih
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1965

Abstract

Record by integration (RME) management efficiency has improved the health care database at the hospital, including mortality data. Mortalitas data an indicator of health service that evaluates the quality of critical care in a hospital, that is essential for decision making strategic and policy evaluation. The research aimed to identify the mortality in patients at Ngudi Waluyo Blitar District Hospital in 2023. This research used the descriptive to describe method mortality in patients at hospital Ngudi Waluyo Blitar District in 2023. The result showed that the total number of patients alive and died in 2023 was 14.485, with the number of 13410 live patients and the patient dies of 1.075. The analysis shows ICCU death as a room with the highest death, especially in time; it is < 25 ‰ or < 2.5 ‰ per year. Factors such as age, associated territories, and some septicemia as a medical condition, chronic kidney disease, stage 5, intracerebral hemorrhage, intraventricular, keys respiratory failure, and pneumonia, unspecified as the cause of death. For that reason, we need to repair constants on information systems and electronic medical records to support better decision making in the management of health services. Evaluation deep to events of death, especially in the ICCU, and focus on management of elderly patients and patients with chronic diseases such as septicemia and chronic kidney disease, be a key to increasing the quality of services.
Analisis Kesiapan Implementasi Rekam Medis Elektronik Dengan Pendekatan Doctor’s Office Quality Information Technology (Doq-It) Unit Rawat Inap Di Rumah Sakit Tk III Brawijaya 2023 Arianti, Kencana Indah; Wahyuni, Titin; Sutha, Diah Wijayanti; Puspadewi, Intan
JurnalMU: Jurnal Medis Umum Vol 1 No 3 (2024): Jurnal Medis Umum
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/jmu.v1i3.24770

Abstract

Rumah Sakit TK III Brawijaya masih belum menjalankan RME di unit rawat inap secara menyeluruh. Rencana strategis kementrian kesehatan 2020-2024 menyampaikan sasaran strategis yang akan dicapai pemerintah untuk meningkatkan ketersediaan fasilitas pelayanan kesehatan yang bermutu Adapun tujuan penelitian adalah menilai kesiapan Rumah Sakit TK III Brawijaya dalam menerapkan RME menggunakan metode DOQ-IT (training, culture, leadership, & infrastructure). Penelitian ini menggunakan metode deskriptif kuantitatif. Berdasarkan hasil secara keseluruhan (aspek SDM budaya kerja organisasi, tatakelola kepemimpinan, & infrastructure) total skor yang diperoleh yaitu 94,6 dalam kategori sangat siap. Maka dapat disimpulkan dari keempat aspek tersebut Rumah Sakit TK III Brawijaya berada pada kategori sangat siap dalam menerapkan RME. Implementasi Rekam Medis Elektronik (RME) sudah mulai diterapkan di beberapa kota di Indonesia. DOQ-IT merupakan instrument sejak 2009 sudah dikembangkan oleh MASSPRO yang mendesain aspek-aspek yang dinilai pada pengukuran kesiapan dalam implementasi RME. Penelitian ini bertujuan mengembangkan instrument DOQ-IT dalam Bahasa Indonesia yang kemudian disusun ke dalam bentuk desain kuesioner yang diuji validitas dan reliabilitasnya. Hasil penelitian didapatkan aspek yang mempengaruhi kesiapan implementasi RKE yaitu aspek penyelarasan organisasi dan kapasitas organisasi. Pada uji validitas keseluruhan item valid (r hitung > r tabel) dan uji reliabilitas kuesioner dengan nilai Cronbach’s Alpha sebesar 0,938 dinyatakan reliabel.
Analysis of Multiple Intelligence and Intelligence Quotient to Medical Record Officers Performance Faida, Eka Wilda; Prasetyorini, Anif; Wahyuni, Titin; Masyfufah, Lilis; Puryanti, Puryanti; Sutha, Diah Wijayanti
Indonesian Journal of Applied Research (IJAR) Vol. 6 No. 3 (2025): Indonesian Journal of Applied Research (IJAR)
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/ijar.v6i3.636

Abstract

Incomplete and inconsistent data recording, as well as low accuracy, were the main factors that reduced the quality of performance in health care facilities. Previous research showed that more than 50% of medical record officers competencies were categorized as low. Competence could impact hospital performance and quality. Competence could be measured by multiple intelligences and intellectual intelligence. It was important to carry out multiple intelligence and intelligence quotient analyses of the performance of medical record officers in recording patient medical data. The aim of the research was to assess the influence of multiple intelligence and intelligence quotient on the performance of officers in recording patient medical data. The method used was analytical observational research with a cross-sectional design. The purposive sampling technique involved 35 respondents. Data analysis was conducted using the Structural Equation Model with Partial Least Square. The influence of multiple intelligences on performance had a path coefficient value of -0.003 with a T-statistic value of 0.018 (< 1.96) and a P-value of 0.986, indicating no significant effect. There was a positive influence of intelligence quotient on performance with a path coefficient value of 0.745, a T-statistic value of 4.998 (> 1.96), and a P-value of 0.000. The strength of the influence of multiple intelligence and intelligence quotient on performance showed an R-square of 55%, which indicated a moderate influence.
Digital Politeness in Academic WhatsApp Communication: A Pragmatic Analysis of Student–Lecturer Interactions in Indonesian Higher Education Arfandi, Viki Fahril; Naila, Faiqotun; Hidayanti, Sukria; Wahyuni, Titin; Khafi, Moh. Zainul; Hardiansyah, Framz
Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Vol. 6 No. 4 (2025): November
Publisher : Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/goescienceed.v6i4.1461

Abstract

This study aims to analyze digital politeness among university students in academic WhatsApp communication with lecturers at Universitas PGRI Sumenep. The research is grounded in the changing landscape of academic communication, where digital interaction increasingly replaces face-to-face exchanges, raising new challenges in maintaining politeness and professional etiquette. A descriptive survey design was employed with 20 purposively selected students as participants. Data were collected through a Google Form questionnaire consisting of five dimensions: linguistic politeness strategies, digital communication etiquette, perception of power and distance, cultural and contextual sensitivity, and self-reflection on digital behavior. The data were analyzed using descriptive statistics (mean, SD, frequency) and qualitative thematic analysis of open-ended responses. The results indicate that students exhibit a high level of digital politeness (M = 4.17, SD = 0.43). The highest dimension was cultural and contextual sensitivity (M = 4.48), showing that traditional values of respect and humility remain strong in digital communication. Students consistently used greetings, expressions of gratitude, and apology markers in their WhatsApp messages to lecturers. However, hierarchical awareness appeared more flexible, reflecting a shift from formality-based to relationship-based politeness. These findings extend Brown and Levinson’s (1987) politeness theory into the domain of digital pragmatics, emphasizing that technology does not diminish politeness but reshapes it to fit new communicative contexts. The study recommends that universities incorporate digital communication ethics training into academic literacy programs to foster respectful and effective online interaction.
Analisis Sentimen Text Dengan Metode CNN Study Kasus Tempat Wisata Makassar Kamal, Safutri; Rachman, Fahrim Irhamna; Wahyuni, Titin
Ainet : Jurnal Informatika Vol. 7 No. 1 (2025): Maret (2025)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/n1gcbb74

Abstract

Penelitian ini bertujuan untuk mengevaluasi dan menentukan sejauh mana metode CNN (Convolutional Neural Network) dapat menghasilkan prediksi sentimen yang akurat terhadap ulasan mengenai tempat wisata Makassar. Metode analisis sentimen ini menggunakan data ulasan yang dikumpulkan dari platform Google Maps. Dalam penelitian ini, dilakukan tahap preprocessing untuk membersihkan data, seperti cleaning, transform cases, tokenizing, stopword dan stemming. Selanjutnya, dilakukan pembagian dataset menjadi data latih dan data uji dengan scenario 90 : 10, 80 : 20 dan 70 : 30 untuk melatih dan menguji model dengan tiga kategori ulasan yaitu positif, negatif dan netral. Hasil dari analisis sentimen menunjukkan bahwa metode CNN memiliki kemampuan yang baik dalam memprediksi sentimen positif, negatif, dan netral pada ulasan mengenai Tempat Wisata Makassar. Tingkat akurasi yang tinggi pada tahap pelatihan menunjukkan bahwa model mampu belajar dengan baik dari dataset yang disediakan. Meskipun tingkat akurasi pada tahap validasi sedikit lebih rendah, tetapi masih mencapai angka yang memadai, menunjukkan bahwa model memiliki kemampuan generalisasi yang cukup baik dalam mengklasifikasikan sentimen pada ulasan-ulasan tersebut. Diperoleh hasil akurasi tertinggi dengan Training Accuracy yang meningkat memperoleh nilai akurasi training 95%, serta Validation Accuracy memperoleh nilai 73%.
KLASIFIKASI SARAN DAN KRITIK PADA SIMAK UNISMUH DENGAN MENGGUNAKAN ALGORTIMA RECCURENCT NEURAL NETWORK (RNN) faisal, Ahmad; Wahyuni, Titin; Rachman, Fahrim Irhamna
Ainet : Jurnal Informatika Vol. 7 No. 1 (2025): Maret (2025)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/8ttaxq04

Abstract

SIMAK Unismuh Makassar is an important platform used by students to submit suggestions and criticisms related to various academic aspects. In this study, researchers implemented the Recurrent Neural Network (RNN) algorithm to classify suggestions and criticisms received through SIMAK Unismuh. The purpose of this study was to determine the implementation of the RNN Algorithm in classifying suggestions and criticisms on the SIMAK Unismuh page and how successful the RNN Algorithm was in classifying suggestions and criticisms on the SIMAK Unismuh page. RNN was chosen because of its ability to process sequential text data, such as input in the form of sentences, which allows the model to capture the context of the input more effectively. The dataset used in this study consists of a number of suggestion and criticism data that have been categorized manually. The RNN model that was built was then trained and tested using the data to assess its accuracy and performance. The results showed that the model achieved the highest accuracy of 91% and the lowest accuracy of 90%. Although there were variations in model performance, these results indicate that RNN has good potential in classifying suggestion and criticism texts. The RNN model can help institutions understand and respond to user input more effectively, although it still requires further optimization to improve the consistency and accuracy of the results. The conclusion of this study shows that the RNN model is able to classify suggestions and criticisms with an adequate level of accuracy. The application of this model is expected to help the Unismuh administration in managing student input more efficiently, as well as providing more appropriate and faster responses to academic needs.Keywords: Text Classification, Recurrent Neural Network (RNN), SIMAK Unismuh, Suggestions and Criticisms, Academic Information System.
Co-Authors Achmad Yanu Aliffianto Aditya, Dwi Martha Nur Adrianingsih, Rizka Agustin Dwi Syalfina Ahmad Faisal Aiman , Ailul Alfina Aisatus Saadah Amelia, Azarine Nahdah Anas, Andi Lukman Anas, Lukman Anif Prasetyorini Anita Dahliana Arfandi, Viki Fahril Arianti, Kencana Indah Arshy Prodyanatasari Arvianda Aswad, Muh. Akhwan Adam Bakti, Riski Yusliana Bakti, Rizki Yusliana Bisono, Eva Firdayanti Christine Christine Dewi, Syamrilla Dzakki Adam, Ahmad Wildan Fadhillatul Lailia, Salsabilla Firdaus , Abidatu Zahrotul Fitrianti, Dwi Framz Hardiansyah Haidul, Haidul Haruna, Hanjas Hayat, Muhyiddin A M Hayat, Muhyiddin A. M Hidayanti, Sukria Hidayat, Andra Dwitama Ilmiyah Rosyiari, Ahniyatul Indriani, Lis Irhamna Rachman, Fahrim Jaelan Usman, Jaelan Kamal, Safutri Khafi, Moh. Zainul Krisnita Dwi Jayanti, Krisnita Dwi Listiawan, Nadhila Lukman Maharani, Eva Ratih Masyfufah, Lilis Masyfufah, Lilis  Maulia, Rizky Mone, Ansyari Muhammad Faisal Muhyiddin A M Hayat Mujadilah, Siti Muslimah, Nurul Aulia Naila, Faiqotun Natsir, Fitra M. Nisha, Khairun Novianti, Siti Nur Alam Nurfadilla, Destiani Irma Octavia, Winda Dwi Pandin, Maria Yovita R. Pribadi, Maylina Surya Wirawati Puryanti, Puryanti Puspadewi, Intan Putra, Yunior Bimasekti Rachman, Fachrim Irhamnah Rachman, Fahrim Irhamna Rahman, Fahrim Irhamna Rahmawati, Ayu Isnaini Ramadhan S, Fahmi Ridwang Ridwang, Ridwang Rosyiari, Ahniyatul Ilmiyah S. Kuba, Muhammad Syafa'at Salsabila, Damai Arsila Sa’adah, Alfina Asiatus Setiawan, Mohammad Yusuf Siti Fatimatuz Zahroh Siti Mujanah Slamet Riyadi Sukmantoro, Agung Anjar SULASTRI Suryadinata, Rivan Virlando Sutha, Diah Wijayanti Syamsuri, Andi Makbul Syarifuddin, Nur Annisa Wibawa. Ar, Arya Wilda Faida, Eka xss, aa xx Yulianita, Novi Eka