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All Journal Jurnal Ilmiah pesona PAUD Jurnal Teknologi dan Manajemen Informatika Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan JUSIFO : Jurnal Sistem Informasi Sistemasi: Jurnal Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Tarbawi: Jurnal Keilmuan Manajemen Pendidikan Applied Information System and Management Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal ULTIMA InfoSys JSiI (Jurnal Sistem Informasi) JURTEKSI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) Building of Informatics, Technology and Science Technologia: Jurnal Ilmiah Cassowary Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Sistem Informasi Jurnal kiprah pendidikan IJIS Edu : Indonesian Journal of Integrated Science Education
Ratna Juita
Department SDM, Pt. Sinar Baru Corporation
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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MASALAH-MASALAH YANG DI ALAMI SISWA SMK N 5 PEKANBARU Juita, Ratna; ', Rosmawati; Asyari, Abu
Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Vol 3, No 1 (2016): Wisuda Februari 2016
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan

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

Abstract

Abstract: The objectives of this study are 1) to get the description about personal problem experienced male and female students 2) to get the description about emotional problems experienced by male and female students, 3) to get the information about learning problems experienced by male and female students, 4) to get the information about family problems experienced by male and female students, 5) to get the information about social problem experienced by male and female students, 6) to get the descriptions about the problems of male and female students in some aspects such as personal, emotional learning, family and social, 7) to get the description about the problems experienced by male and female students in general. The mean of collecting data is questioner. The subject of this research is the students of class X and XI that consists of 240 students. The result shows that the problems that experienced by male and female students are different, the research finding as stated in table 5 shows that male students who have family problem are 93,2% and female students also have the same problem but it is higher than male students’ problem, that is 98% in Senior Vocational School Number 5 Pekanbaru. It s known that the students class XI of Senior Vocational School Number 5 Pekanbaru have family problems on the average. The impact of the family problem is in few category.Keywords: Problems
PENINGKATAN KEMAMPUAN BERHITUNG ANAK MELALUI PERMAINAN MENAKAR AIR DI TK AISYIYAH KOTO KACIAK MANINJAU RATNA JUITA Juita, Ratna
Jurnal Ilmiah Pesona PAUD Vol 1, No 3 (2012)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (46.804 KB) | DOI: 10.24036/1656

Abstract

Perkembangan hitung anak dalam menakar air di TK Aisyiyah Koto Kecil Indonesia masih rendah (di bawah KKM yang diterapkan). Tujuan penelitian tindakan kelas adalah untuk meningkatkan perkembangan hitung anak. Jenis penelitian yang digunakan adalah penelitian tindakan kelas dengan menggunakan media alat-alat di air, teknik yang digunakan dalam pengumpulan data berupa observasi, wawancara dan  hasil penelitian anak. Selanjutnya diolah dengan teknik persentase. Penelitian tindakan kelas ini dilakukan dalam dua siklus. Terlihat dengan adanya tercapainya persentase tingkat keberhasilan anak meningkat, sehingga hasil rata-rata tingkat keberhasilan anak melebihi Kriteria Ketuntasan Minimal (KKM) yang telah ditetapkan yaitu 75%.
HOW THE PERCEIVED ENJOYMENT EFFECT M-PAYMENT ADOPTION IN WEST PAPUA PROVINCE: DELONE AND MCLEAN INFORMATION SYSTEMS SUCCESS MODEL Setiawati, Putri Eka; Inan, Dedi I.; Wurahrah, Rully Novie; Juita, Ratna; Sanglise, Marlinda
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 3 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i3.5738

Abstract

M-payment is a form of adaptation in payment systems through digital technology. This study aims to determine the influence of perceived enjoyment as a complementary factor to the DeLone and McLean (DM) Information System Success Model of m-payment adoption level in West Papua Province. A total of 244 valid respondents were obtained via a questionnaire using purposive sampling technique and analyzed using PLS-SEM. The results showed that out of eleven hypotheses, eight were accepted, and three were rejected. The result show that the Perceived Enjoyment (PE) significantly influences the m-payment adoption level in West Papua Province. However, service quality is not a determinant of m-payment adoption levels in West Papua Province. Additionally, system quality not a determinant on user satisfaction of the technology. A post-hoc evaluation was also conducted using gender and age as control variables, indicating that the adoption levels varied among the control variable groups. This provides significant insights both theoretical and practical which are discussed in discussion and conclusion section.
PREDICTING THE CHARACTERISTICS OF DRIVER’S LICENSE APPLICANTS AT SATPAS POLRESTA MANOKWARI USING HIERARCHICAL MULTIPLE REGRESSION Sahetapi, Merlyn Florensia; Inan, Dedi I; Sanglise, Marlinda; Juita, Ratna; Baisa, Lorna Y
Jurnal Sistem Informasi Vol 11 No 2 (2024)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v11i2.9056

Abstract

This research aims to predict the characteristics of driver's license (SIM) applicants at the SATPAS (Driver’s License Issuance Unit) Polresta Manokwari using Hierarchical Multiple Regression analysis. The study explores six key variables: gender, age, occupation, city, type of driver's license, and type of application, as predictors of applicant characteristics. The analysis was conducted using SPSS version 29, with data collected from the population of driver's license applicants since 2023. Three models were tested, with Model 3 being identified as the best predictor, explaining 7% of the variance in applicant characteristics (R² = 0.070). This model incorporates the variables of age, occupation, city, and type of application, while gender and driver's license class were found to have no significant individual impact. The partial t-test results show that age, occupation, city, and type of application significantly influence applicant characteristics, with negative regression coefficients indicating that an increase in these variables leads to a decrease in the predicted characteristics of SIM applicants. The study highlights practical implications for SATPAS, suggesting that service processes could be improved by considering demographic factors such as age and occupation in order to optimize resource allocation and reduce service complexity. However, the study has several limitations. The use of secondary data limits the completeness and accuracy of the analysis, and the limited number of variables results in a narrow interpretation of the factors influencing SIM applicants. Additionally, the model explains only a small portion of the variance in applicant characteristics, suggesting that other unmeasured factors, such as education level or driving experience, may play a more significant role. Furthermore, the findings are not generalizable to other regions, as local conditions may impact license application patterns. Future research should address these limitations by collecting primary data, expanding the range of variables, employing more sophisticated analytical methods, and exploring other regions. This would provide a more comprehensive understanding of the factors affecting driver's license applicants and contribute to enhancing the quality of SIM issuance services in Indonesia. Keywords: Driver's License, Prediction, Hierarchical Multiple Regression, Applicant Characteristics
Determinants of User Satisfaction with a Mobile Application Using the Extended Webqual 4.0 Method and Structural Equation Modelling: A Case of the PLN Mobile Application Saputra, Andi; Inan, Dedi I.; Juita, Ratna; Sanglise, Marlinda; Indra, Muhamad
JUSIFO : Jurnal Sistem Informasi Vol 10 No 1 (2024): JUSIFO (Jurnal Sistem Informasi) | June 2024
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v10i1.23051

Abstract

In the era of rapid technological growth, people increasingly expect convenience in all aspects of life, including how they interact with public services. The PLN Mobile application, developed by PT PLN (Persero), aims to facilitate access to information and services for the community. However, many users have provided low ratings and negative feedback. The purpose of this research is to analyze the factors influencing user satisfaction with the PLN Mobile application, using the Webqual 4.0 method. A total of 101 respondents were selected using a purposive sampling technique, and the data were analyzed using Structural Equation Modeling (SEM). The findings reveal that Usability, System Quality, Information Quality, and Interaction Quality significantly affect user satisfaction, while Service Quality does not. This indicates that the application meets most user expectations, though there is still potential for further improvement. These findings offer theoretical contributions to the Webqual 4.0 method and practical insights for developers to enhance the application and improve user satisfaction.
Dissatisfaction of a Mobile-Based Application from Different Platforms Using Naïve Bayes for Sentiment Analysis and LDA for Topic Modelling Ohoilulin, Anastasya; Inan, Dedi I; Juita, Ratna; Sanglise, Marlinda
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5729

Abstract

A mobile application that is built and runs on different platforms, such as iOS (Apple App Store) and Android (Google Play Store), may not necessarily have the same user satisfaction (dissatisfaction) reviews understood by both user segments. This is due to, for example, the differences in the technology used, which ultimately result in different user behaviors. This can be observed from the average ratings on each platform, even though it is the same application. Therefore, this research aims to provide a foundation for the assumptions made. The case study used is the Satu Sehat mobile application, a widely utilized health service application. Text mining methods: sentiment analysis using Naive Bayes and topic modeling using Latent Dirichlet Allocation (LDA) were chosen due to their relevance to the research objectives. A total of 21,750 reviews from the Google Play Store and 7,350 reviews from the Apple App Store were collected using scraping techniques. The results showed that sentiment analysis model on negative sentiment in the Apple App Store excelled with a precision of 93%, recall of 93%, and F1-score of 95%, while in the Google Play Store it had a precision of 82%, recall of 87%, and F1-score of 85%. However, the performance of the positive sentiment model in the Apple App Store was very low, with a precision of 63%, recall of 33%, and F1-score of 43%, compared to the Google Play Store which had a precision of 78%, recall of 71%, and F1-score of 74%. This indicates that a higher level of dissatisfaction is observed in the Apple App Store compared to Android. These results are consistent with the average ratings of the application on both platforms. Topic modeling results, which presented 15 topics from each platform, showed similar common issues such as login, OTP verification, and data input errors on both platforms. However, reviews of the Satu Sehat running on the Apple tend to be more negative compared to the one of Android. Therefore, improving the application quality of the Apple platform is more expected to meet user expectations and enhancing the overall rating as in the Andrond one.
Penerapan Data Mining dengan Algoritma Apriori Pada Data Penjualan Obat Untuk Mengetahui Pola Pembelian Obat Pada Apotek Di Kota Nabire Wati, Olfiana; Juita, Ratna; Marlinda, M
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.752

Abstract

There are quite a lot of pharmacies in the city of Nabire where they sell various kinds of health medicines such as chemical, herbal, and other drugs. In addition, there are also pharmacies that serve drug consultations, doctor services, health checks, and so on. The problem that occurs in pharmacies today is the lack of adequate drug supplies, namely where often the sale of drugs desired by consumers or the public does not exist or runs out, resulting in these consumers moving from one pharmacy to another. This makes service slow to consumers and reduces the level of sales in pharmacies. Knowing drug purchasing patterns can provide information about consumer habits in buying drugs so that it can provide insight into service improvement, proper drug supply, and can understand disease trends in a region. This can be done by utilizing drug sales data in pharmacies using data mining techniques, a priori algorithm association methods. The final result found 4 association rules with a minimum value of support of 30% and a minimum value of confidence of 50% with calculations using Microsof excel and using the Ripedminer application If you buy Mefenamic and Grantussive Acid, you will buy Bodrex with support 34.21%, confident 58.81%, lift ratio of 1.00. If you buy Mefenamic Acid and Dexa, then buy Bodrex with a support value of 36.09%, a confident value of 62.04%, a lift ratio of 1.05. If you buy Mefenamic Acid and Dexa, then buy Paracetamol with a support value of 31.42%, a confident value of 68.85%, a lift ratio of 1.43. If you buy Mefenamic Acid and Dexa, then buy Amoxilin with a support value of 31.01%, a confident value of 68.04%, a lift ratio of 1.44.
TOWARDS SPATIAL INFORMATION SYSTEM ADOPTION USING EXTENDED TAM AND IS SUCCESS MODEL Anjani, Heni; Inan, Dedi I.; Juita, Ratna; Sanglise, Marlinda
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 10, No 4 (2024): September 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i4.3263

Abstract

Abstract: By leveraging digital technology, Laporkitong enhances transparency and accountability, as well as facilitates public participation in the oversight and enforcement processes related to land use and natural resource management. The Laporkitong website functions as an online reporting application aimed at documenting instances of spatial planning violations in the West Papua Province. The lack of public knowledge about the Laporkitong application has led to numerous issues. Therefore, an analysis of the adoption of the Laporkitong application is necessary. This study aims to investigate the influence of Perceived Quality, Perceived Control, and Perceived Ease of Use factors as determinants of the residents' willingness to use the Laporkitong application, employing the Technology Acceptance Model (TAM) and DeLone and McLean IS Success (IS D&M) theories. As many as 160 valid respondents are gathered based purposive sampling technique and evaluated using Partial Least Square Structural Equation Modeling (PLS-SEM). The results inform that all seven hypotheses are accepted with the R-square of the intention to use is 0.273 indicationg 27.3% variance of the model can determine the outcome. Further discussion and conclusion regarding the implication of theoretical and practical contribution are also discussed.            Keywords: laporkitong; perceived control; perceived ease of use; perceived quality; technology acceptance model Abstrak: Dengan memanfaatkan teknologi digital, Laporkitong meningkatkan transparansi dan akuntabilitas, serta memfasilitasi partisipasi publik dalam proses pengawasan dan penegakan terkait penggunaan lahan dan pengelolaan sumber daya alam. Website Laporkitong berfungsi sebagai aplikasi pelaporan online yang bertujuan untuk mendokumentasikan pelanggaran perencanaan tata ruang di Provinsi Papua Barat. Minimnya pengetahuan masyarakat terhadap aplikasi Laporkitong menyebabkan banyak permasalahan. Maka dari itu perlu dilakukan analisis mengenai adopsi pada aplikasi Laporkitong. Penelitian ini bertujuan untuk menyelidiki pengaruh faktor Kualitas yang Dirasakan, Kendali yang Dirasakan, dan Kemudahan Penggunaan yang Dirasakan sebagai penentu keinginan penduduk untuk menggunakan aplikasi Laporkitong, dengan menggunakan Model Penerimaan Teknologi (TAM) dan teori Kesuksesan Sistem Informasi (IS D&M) DeLone dan McLean. Sebanyak 160 responden valid dikumpulkan berdasarkan teknik purposive sampling dan dievaluasi menggunakan Partial Least Square Structural Equation Modeling (PLS-SEM). Hasilnya menunjukkan bahwa semua tujuh hipotesis diterima dengan R-square niat untuk menggunakan adalah 0,273, menunjukkan bahwa 27,3% variasi model dapat menentukan hasilnya. Diskusi lebih lanjut dan kesimpulan mengenai implikasi kontribusi teoritis dan praktis juga dibahas. Kata kunci: laporkitong; pengendalian yang dirasakan; kemudahan penggunaan yang dirasakan; kualitas yang dirasakan; model penerimaan teknologi 
Analisis Sentimen dan Topik Modeling Terhadap Aplikasi Mobile Detik.com suleha, suleha; inan, dedi iskandar; juita, ratna; sirait, victor arie lambadya
Technologia : Jurnal Ilmiah Vol 15, No 4 (2024): Technologia (Oktober)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v15i4.16363

Abstract

Penelitian ini bertujuan untuk menganalisis kepuasan pengguna terhadap aplikasi mobile Detik.com, salah satu portal berita terbesar di Indonesia, yang mengalami penurunan kunjungan sejak Maret 2020. Meskipun aplikasi ini menyediakan akses cepat dan efisien ke berbagai berita terkini, terdapat beberapa tantangan yang memengaruhi kepuasan pengguna, seperti gangguan iklan dan masalah teknis. Untuk memahami sentimen pengguna, penelitian ini menggunakan pendekatan analisis sentimen dan pemodelan topik dengan metode Latent Dirichlet Allocation (LDA). Data yang dianalisis diambil dari ulasan pengguna aplikasi Detik.com di Google Play Store yang dikumpulkan melalui teknik web scraping. Sebanyak 14.320 ulasan dianalisis, dengan periode pengumpulan data dari Agustus hingga September 2023. Proses prapemrosesan data melibatkan beberapa tahap, termasuk pembersihan, tokenisasi, dan penyaringan, untuk memastikan kualitas data yang digunakan dalam analisis. Sentimen pengguna dikategorikan sebagai positif, negatif, atau netral. Berdasarkan hasil analisis, mayoritas pengguna menyampaikan sentimen positif sebesar 45,06% terhadap aplikasi, terutama terkait kecepatan loading dan kualitas konten. Namun, sekitar 41,18% ulasan mencerminkan sentimen negatif, yang sebagian besar disebabkan oleh masalah teknis dan gangguan iklan. Pemodelan topik menggunakan LDA mengidentifikasi 15 topik utama yang dibahas dalam ulasan pengguna, dengan 6 topik mencerminkan keluhan, 4 topik berisi ulasan positif, dan 5 topik bersifat netral. Hasil analisis pemodelan topik menunjukkan bahwa meskipun aplikasi Detik.com memiliki rating yang baik, masih terdapat beberapa aspek yang perlu ditingkatkan untuk meningkatkan kepuasan pengguna. Masalah seperti gangguan iklan, kesulitan login, dan kualitas konten menjadi fokus utama keluhan pengguna. Penelitian ini memberikan wawasan bagi pengembang aplikasi Detik.com untuk lebih memahami kebutuhan dan ekspektasi pengguna. Dengan meningkatkan aspek teknis dan mengurangi gangguan iklan, aplikasi ini memiliki potensi untuk meningkatkan pengalaman pengguna dan mempertahankan posisinya sebagai salah satu portal berita terkemuka di Indonesia.
PREDICTING THE CHARACTERISTICS OF DRIVER’S LICENSE APPLICANTS AT SATPAS POLRESTA MANOKWARI USING HIERARCHICAL MULTIPLE REGRESSION Sahetapi, Merlyn Florensia; Inan, Dedi I; Sanglise, Marlinda; Juita, Ratna; Baisa, Lorna Y
Jurnal Sistem Informasi Vol 11 No 2 (2024)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v11i2.9056

Abstract

This research aims to predict the characteristics of driver's license (SIM) applicants at the SATPAS (Driver’s License Issuance Unit) Polresta Manokwari using Hierarchical Multiple Regression analysis. The study explores six key variables: gender, age, occupation, city, type of driver's license, and type of application, as predictors of applicant characteristics. The analysis was conducted using SPSS version 29, with data collected from the population of driver's license applicants since 2023. Three models were tested, with Model 3 being identified as the best predictor, explaining 7% of the variance in applicant characteristics (R² = 0.070). This model incorporates the variables of age, occupation, city, and type of application, while gender and driver's license class were found to have no significant individual impact. The partial t-test results show that age, occupation, city, and type of application significantly influence applicant characteristics, with negative regression coefficients indicating that an increase in these variables leads to a decrease in the predicted characteristics of SIM applicants. The study highlights practical implications for SATPAS, suggesting that service processes could be improved by considering demographic factors such as age and occupation in order to optimize resource allocation and reduce service complexity. However, the study has several limitations. The use of secondary data limits the completeness and accuracy of the analysis, and the limited number of variables results in a narrow interpretation of the factors influencing SIM applicants. Additionally, the model explains only a small portion of the variance in applicant characteristics, suggesting that other unmeasured factors, such as education level or driving experience, may play a more significant role. Furthermore, the findings are not generalizable to other regions, as local conditions may impact license application patterns. Future research should address these limitations by collecting primary data, expanding the range of variables, employing more sophisticated analytical methods, and exploring other regions. This would provide a more comprehensive understanding of the factors affecting driver's license applicants and contribute to enhancing the quality of SIM issuance services in Indonesia. Keywords: Driver's License, Prediction, Hierarchical Multiple Regression, Applicant Characteristics
Co-Authors ', Rosmawati Abu Asyari, Abu Alfredo, Boby Almasdi Syahza Andi Saputra Anjani, Heni Baisa, Lorna Y Baisa, Lorna Yertas De Kweldju, Alex Dwi Suhendra, Christian I. Inan, Dedi Inan, Dedi I Inan, Dedi I. Inan, Dedi Iskandar Indra, Muhamad Iskandar Inan, Dedi Kandami, Chandra Leonard Kandami, Joshua Hans Marlinda, M Maswatu, Dewi Aulia Nurhayati Maulidan, Farid MUHAMMAD INDRA Ohoilulin, Anastasya Padwa, Charles Paiki, Fridolin Febrianto Putra, Irwan Rahmawati, Nanes Fitri Rusli Yusuf Safarah, Khairin Andini Sahetapi, Merlyn Florensia Sanglise, Marlinda Setiawati, Putri Eka Sipahelut, Novelia Sirait, Victor Arie L. sirait, victor arie lambadya Soviana, Rita Suarman Suleha, Suleha Sumarandak, Switly Wake, Tresia Wati, Olfiana Wurahrah, Rully Novie Y. Baisa, Lorna Yembise, Roberth