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Journal : Jurnal Informatika dan Rekayasa Komputer

Analisis Kualitas Layanan Pengguna Website STAI Ma'arif Jambi Menggunakan Metode Webqual 4.0 dan IPA Saloma; Kurniabudi; Sharipuddin
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 4 No 2 (2024): JAKAKOM Vol 4 No 2 September 2024
Publisher : LPPM Universitas Dinamika Bangsa

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

Abstract

The STAI Ma'arif Jambi website is one of the media that can be accessed using the internet. The website presents information in the form of text, images, audio, using the HTTP protocol. Therefore, the quality of the services provided must be of high quality so that website users feel satisfied with the services provided. The method used is the webqual 4.0 method and importance performance analysis (IPA). Based on data from calculations using the Slovin formula, the number of respondents required was 156 people, therefore questionnaires were distributed for more than one month to students and the general public. Where the distribution of the questionnaire was carried out at STAI Ma'arif Jambi and in the surrounding environment of Jambi. Data collection in this research was taken from the results of an online questionnaire using Google Form. As a result of distributing the questionnaire, 156 respondents were obtained, where the respondents were divided into two categories, namely men and women. The data was processed using IBM SPSS Statistics 23 software. The results of this research show that the variable that has the most influence on user satisfaction on the STAI Ma'arif Jambi website is the quality of interaction, with a calculated t value of 3.846%. This variable is more significant than usefulness at 2,799% and information quality at 3,070%. The analysis results also show that the highest ranking is in the quality of service interactions (X3) with a value of 1.08%, while the lowest ranking is in the quality of information (X2) with a value of 0.93%. The average gap value (GAP) of -0.39 indicates that the quality of website performance has not met user expectations. In addition, the IPA quadrant analysis emphasizes the need for improvements to indicators in the third quadrant, because low levels of performance can influence users' interest in relying on these indicators.
Perencanaan Arsitektur Enterprise Menggunakan TOGAF ADM Pada MTS Darul Ulum Durian Luncuk Kabupaten Batanghari Dea Maharani; Sharipuddin; hartiwi, Yessi
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 4 No 2 (2024): JAKAKOM Vol 4 No 2 September 2024
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2024.4.2.1933

Abstract

Abstract− MTS Darul Ulum Durian Luncuk Batanghari district, is one of the private MTS in the Durian Luncuk area, Batanghari district. Where the existing systems in each field are assisted by using microsofr word and microsoft excel in data processing but have not been integrated between on field an another. So that data cannod be used together in one field or between other fields and cause the required data and information to be inappropriate because of the difficulty of accessing data and information. Then te researcher proposes an enterprise architecture plan for MTS Darul Ulum Durian Lncuk Batanghari district using TOGAF ADM, because TOGAF ADM is not only a framework but also provides the process steps used in enterprise modeling which proposes systematic steps in planning enterprise architecture which consists of several phase namely, vision architecture, business architecture, information system architecture and technology architecture. From the discussion above the authors propose 9 applications that can be developed to support the organization’s business strategy at MTS Darul Ulum Durian Luncuk Batanghari district.
Analisis Dan Perancangan Sistem Informasi Manajemen Proyek Pada CV. Naila Fathiyah Farah Andrian, Rafli Dicky; Sharipuddin; Joni Devitra
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 5 No 1 (2025): JAKAKOM Vol 5 No 1 APRIL 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2025.5.1.1983

Abstract

This study identifies the obstacles faced by CV. Naila Fathiyah Farah in monitoring project progress on a daily basis, mainly due to difficulties in operations and coordination between teams. Supervisors report daily data via telephone, which often causes recording errors, and the lack of project visualization reduces the effectiveness of supervision by managers. To overcome this problem, this study produces a prototype of a web-based Project Management Information System using UML (Use Case, Activity, and Class Diagram) and the Balsamiq Wireframes application. This system allows for more effective project monitoring with clearer visualization, reduces recording errors, and increases the efficiency of reporting and decision making. The main features of the system include managing employee data, clients, activities, payments, processes, documents, project teams, discussions, and reports.
Perbandingan Algoritma Naïve Bayes Dan Regresi Logistik Untuk Memprediksi Kesehatan Mental Mahasiswa Di Provinsi Jambi Fitriani; Jasmir; Sharipuddin
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 5 No 2 (2025): JAKAKOM Vol 5 No 2 SEPTEMBER 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2025.5.2.2309

Abstract

he mental health of college students is a global concern due to the impact of academic pressure, social issues,and lifestyle changes. In Indonesia, around 20% of the population is estimated to suffer from mental disorders, with morethan 12 million people experiencing depression. The increase in suicide cases, including among college students in Jambi,shows the significant impact of stress on mental health. To address this issue, early prediction of mental health disorders is animportant step so that intervention can be carried out earlier. This study compared the accuracy of the Naïve Bayes algorithmand logistic regression in predicting the mental health of college students in Jambi Province. Data were collected from 300students at three different universities. The results showed that Naïve Bayes had an accuracy of 99.58% on the training setand 100% on the testing set, while logistic regression only reached 61.67% on the training set and 63.33% on the testing set.These results indicate that Naïve Bayes is superior to logistic regression in predicting the mental health of college students.These findings can be the basis for the development of more effective early detection tools, so that educational institutionscan design appropriate intervention strategies to support student well-being