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All Journal Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Teknologi Informasi dan Multimedia Science Midwifery Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Jurnal Informatika Teknologi dan Sains (Jinteks) Journal of Vocational, Informatics and Computer Education
Sirajunnasihin
Universitas Bima Internasional MFH
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Health Professions Nursing Public Health Veterinary

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PENGEMBANGAN SISTEM INFORMASI MANAJEMEN ADMINISTRASI IZIN (SIMAMI) DI UNIVERSITAS TEKNOLOGI SUMBAWA Sirajunnasihin; Tomy Dwi Cahyono; Wilia Ismiyarti
Jurnal Informatika Teknologi dan Sains Vol 2 No 3 (2020): EDISI 5
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (416.973 KB) | DOI: 10.51401/jinteks.v2i3.751

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem informasi manajemen administrasi izin di universitas teknologi sumbawa agar dapat mempermudah aktifitas pengelolaan data dan pengajuan izin seluruh dosen maupun staf universitas teknologi sumbawa. Penelitian menggunakan metode deskriptif kualitatif untuk dapat menggambarkan keadaan ditempat penelitian dengan mendetail dan memungkinkan dapat berkembang selama proses penelitian berlangsung. Metode perancangan perangkat lunak ini menggunakan metode waterfall. Metode pengumpulan data menggunkan obervasi, studi pustaka dan studi dokumen. Hasil dari penelitian ini adalah sebuah sistem yang telah dikembangkan sehingga dapat membantu mempermudah pegawai dalam melakukan izin sehar-hari maupun cuti dan mempermudah bagian kepegawaian dalam melakukan pengelolaan data izin dan cuti.
Self-directed e-learning-based mental health interventions to improve post-covid-19 pandemic health worker resilience and well-being Hizriansyah, Hizriansyah; Sirajunnasihin, Sirajunnasihin; Qudsi, Jihadil
Science Midwifery Vol 12 No 4 (2024): October: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v12i4.1707

Abstract

The purpose of this study is to assess the efficacy of self-directed e-learning-based mental health interventions in improving the resilience and well-being of health workers after the COVID-19 pandemic at the Madapangga Health Center in Bima Regency. The sampling technique used is nonprobability convenience sampling, where samples are selected based on the availability and willingness of health workers who take part in training and complete pre- and post-training evaluations. The course is divided into five modules covering the following topics: introduction to mental health and resilience, stress management, psychological resilience, self-care and implementation. A total of 128 people completed the program, with 91 people taking part in pre and post-training assessments. Data were collected using questionnaires with Likert scales to test knowledge and measure positive behaviors and well-being. To detect significant changes before and after the intervention, the data were analyzed using STATA 16 software and paired t-tests. Post-intervention results showed significant improvements in self-care behavior, stress management, and overall well-being. An increase in resilience scores was positively correlated with better job performance and psychological health (p < 0.000). This study shows that self-directed e-learning is effective in improving resilience and well-being of healthcare workers, especially in stress management and self-care. The program is flexible and easily accessible, especially for healthcare workers in areas with limited access to mental health services. Further research is recommended to include a larger sample sizes, long-term follow-up, and exploration of intervention components
Sistem Informasi RAM (Reliability, Avaibility, Maintability) Analisis Kinerja Peralatan Gerbang Tol Berbasis Dashboard Mahardhika, Restu Mahardhika; Rakhmayudhi, Rakhmayudhi; Purwanti, Santi; Nasihin, Sirajun
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2348

Abstract

Penulis-an yang berjudul Sistem Informasi RAM (Reliability, Avaibility, Maintability) Analisis Kinerja Peralatan Gerbang Tol Berbasis Dashboard adalah sebuah sistem informasi yang dibangun untuk membantu PT. XYZ dalam mengukur kinerja peralatannya, khususnya di Gardu Tol. Dengan dibangunnya sistem ini perusahaan dapat melakukan pemantuan peralatan terkait kehandalan, ketersediaan dan syarat dilakukannya perawatan. Hasil pengujian dari dibangunnya sistem ini menunjukan bahwa sistem informasi tidak memiliki kendala dari segi pengujian blackbox. Selain itu, pengujian Akurasi mengenai penghitungan yang dilakukan sesuai dengan teori yang digunakan. Dalam pengujian yang telah dilakukan mendapat respon yang baik dari pengguna terakhir. Dengan demikian, Sistem informasi ini layak digunakan sebagai alat untuk mengukur kinerja peralatannya.
Arsitektur Sistem Informasi Rehabilitasi dan Rekonstruksi Rumah Terkena Dampak Gempa Menggunakan Framework Togaf Sirajunnasihin Sirajunnasihin; Hendra Setiawan
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.540

Abstract

The study focuses on the impact of the 2018 earthquake in the Province of West Nusa Tenggara, particularly the extensive damage to hundreds of thousands of houses. It aims to assess the initial phase of post-earthquake housing rehabilitation and reconstruction activities and seeks to enhance their efficiency and effectiveness. One of the main issues identified is the absence of an integrated information system to facilitate data management and coordination among relevant agencies, often leading to errors and delays in implementing activities. To address this, the research utilizes the TOGAF ADM Framework as an architectural design method, providing detailed guidelines for creating a flexible and adaptable information system architecture. Data is collected through in-terviews, document studies, and literature reviews. The research delves into the vision and mis-sion, regulations, and guidelines pertaining to the rehabilitation and reconstruction process, as well as an analysis of the current business processes and assets owned by the BPBD of the Province of West Nusa Tenggara. The expected outcome is the development of an information system ar-chitecture that can overcome obstacles in rehabilitation and reconstruction activities, resulting in a more effective and efficient process. Moreover, it aims to enhance coordination and resource uti-lization. Ultimately, the study concludes that implementing a TOGAF ADM-based information system architecture can offer a comprehensive solution to the challenges encountered in post-earthquake housing rehabilitation and reconstruction. This resulting integrated and opti-mized system is expected to serve as a valuable reference for relevant agencies in other provinces facing similar situations in the future.
Implementing the SAW Method in a Web-Based Decision Support System for Study Program Selection: Development, Testing, and Evaluation at a Private University in Indonesia Ahmad Ryadussholihin Syafi’i; Asmaul Husna RS; Sirajun Nasihin; Mindi Richia Putri; M. Dermawan Mulyodiputro
Journal of Vocational, Informatics and Computer Education Vol 4, No 1 (2026): March 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.414

Abstract

Purpose – This study aims to address the problem of inappropriate study program selection among prospective university students by developing a web-based decision support system (DSS) using the Simple Additive Weighting (SAW) method to generate objective and structured recommendations. Methods – The research employs a system development approach by implementing the SAW method in a web-based DSS. The system evaluates four cognitive criteria, namely verbal ability (weight 0.25), numerical ability (weight 0.30), logical reasoning (weight 0.25), and spatial ability (weight 0.20), applied to four D3 study program alternatives. Each criterion was weighted, normalized, and calculated to produce a ranking of study program alternatives. Data were collected through questionnaires and institutional academic records. Findings – A pilot test involving 40 high school students showed an 85% alignment rate, where most participants considered the recommendations appropriate to their interests. User acceptance scores ranged from 4.25 to 4.32 out of 5 across usability, interface clarity, and recommendation usefulness, indicating a positive initial reception. These results suggest the system demonstrates preliminary feasibility as a structured recommendation aid, though broader generalization requires further testing. Research Implications – The findings suggest that multi-criteria DSS can enhance the objectivity and consistency of study program recommendations and can be practically implemented in higher education admission processes. Originality – This study contextualizes the SAW method within a specific private university setting, applying it to four D3 study program alternatives using four cognitive criteria weights established through institutional input. The contribution lies in combining system implementation, functional testing, and user acceptance evaluation into a documented development framework applicable to higher education admission support contexts.
Implementasi Naïve Bayes pada Sistem Informasi Posyandu Digital untuk Klasifikasi Stunting Balita Berbasis Website Mursalin Mursalin; Asmaul Husna RS; Sirajunnasihin Sirajunnasihin; Hendra Setiawan; Ari Kurniawati
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 3 (2026): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i3.1035

Abstract

Posyandu plays a central role in child growth monitoring and stunting prevention at the commu-nity level; yet Posyandu Lelede 2, Desa Lelede, continues to rely on handwritten registers as its primary recording medium. This dependence generates three recurring operational problems: low data accuracy, difficulty retrieving children's growth histories, and chronic delays in submitting reports to the puskesmas, all of which compromise the effectiveness of early nutritional interven-tion. To address these limitations, the present study designed and implemented a web-based po-syandu information system incorporating the Gaussian Naive Bayes algorithm for automated stunting classification. Development followed the Waterfall methodology through five sequential phases- requirements analysis, design, implementation, testing, and maintenance- with the system constructed in PHP using the Laravel framework and MySQL as the database management system. The anthropometric variables processed included age, body weight, height, and sex of the children. A total of 1,164 records were utilized, comprising 1,000 training records constructed based on WHO anthropometric standards and 164 primary testing records obtained directly from Posyan-du Lelede 2 from December 2025 to February 2026. Evaluation via confusion matrix demonstrated a classification accuracy of 82.31% against WHO anthropometric standards, while Black Box Testing confirmed that all functional modules operated as specified. The system is therefore con-sidered a viable digital model for strengthening posyandu services and child health data manage-ment at the grassroots level.
The Role of Self-Directed E-Learning-Based Mental Health Models in Strengthening Mental Health Literacy among Nurses in West Lombok Regency, Indonesia: A Cross-Sectional Study Sirajunnasihin Sirajunnasihin; Wulandari Dewi Susilawati; Musparlin Halid
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 9 No. 2 (2026)
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v9i2.8806

Abstract

Introduction: Nurses at Public Health Centers (PHCs) are at the forefront of providing health services, including mental health services. Adequate Mental Health Literacy (MHL) is crucial to enhance their ability to recognize, manage, and support patients with mental health disorders. Improving MHL through an Self-Directed E-Learning (SDE) based learning approach is expected to be an innovative solution to strengthen nurses' competencies. The study aimed to analyze the association between the self-directed e-learning-based mental health model and the strengthening of MHL among nurses at PHC. Methods: The study used a cross-sectional design to analyze the association between exposure to SDE with the strengthening of MHL among nurses at PHC in West Lombok, West Nusa Tenggara, Indonesia, with a sample size of 263. Descriptive analysis was performed to describe the characteristics of the respondents. Chi-square and binary logistic regression tests were performed to determine the association between variables with a significance level of p<0.05 with 95% Confidence Interval (CI) and Adjusted Odds Ratio (AOR) to determine the depth of the association. Results: The results of the study show that most nurses with high SDE exposure have better MHL-work levels than nurses with low SDE exposure. Males have a higher chance of achieving competency improvement than females (AOR=3.046; p=0.004). Participants with a Diploma in Nursing also showed a significant improvement compared to Bachelor of Nursing graduates (AOR=2.208; p=0.042). Work experience of ?5 years had a significant effect (AOR=2.851; p=0.006). A history of work-related MHL training significantly increased the likelihood of competency (AOR=3.575; p=0.001). Higher exposure to SDE, including the number of reflective discussion and practice sessions (AOR=2.333; p=0.029), longer e-learning duration (AOR=3.524; p=0.001), and the number of modules completed (AOR=2.617; p=0.018), and the number of mental disorder patients treated (AOR=3.703; p=0.001) were found to be significantly associated with increased competency. Meanwhile, workload did not show a significant association (p=0.231). Conclusions: The study findings confirm that experience, education, training, and intensity of involvement in the SDE program are important determinants in improving MHL competencies.
Sistem Pendukung Keputusan untuk Rekomendasi Pemilihan Program Studi di Universitas Bima Internasional MFH Berbasis Website Ahmad Ryadussholihin Syafi’i; M. Dermawan Mulyodiputro; Asmaul Husna RS; Sirajunnasihin Sirajunnasihin; Mindi Richia Putri
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 3 (2026): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i3.1023

Abstract

The selection of a study program during the new student admission stage is a high-stakes decision because it affects the alignment of interests and abilities, academic adaptation, and career direc-tion. At Bima International University MFH, internal academic data for the 2023/2024 academic year indicate that approximately 15-20% of students showed early signs of study-program mis-match within the first two semesters, including lower GPA achievement, requests to transfer pro-grams, and study delays of about one to two semesters. This research develops a web-based Deci-sion Support System (DSS) for study-program recommendations using the Simple Additive Weighting (SAW) method. The system was developed using a Research and Development (R&D) approach operationalized through the Waterfall model, covering requirements analysis, system design, implementation, functional testing, calculation validation, and usability evaluation. User trials involved 40 students consisting of 20 science-track and 20 social-science-track respondents. The results show an overall recommendation agreement of 82.5%, with 85% agreement in the sci-ence group and 80% in the social-science group. Functional testing was conducted by an independ-ent student testing team, and usability evaluation using the System Usability Scale (SUS) obtained a final score of 75.35, which falls into the Good category. These findings indicate that the proposed DSS can support prospective students and academic services by providing structured, traceable, and accountable study-program recommendations.
Pengembangan Sistem Dokumen Akreditasi Program Studi D4 TRPL Berbasis Website dengan Penerapan BM25 dan Inverted Index Lukman Hakim; M. Dermawan Mulyodiputro; Sirajunnasihin Sirajunnasihin; Asmaul Husna RS
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 4 (2026): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i4.1129

Abstract

Accreditation documents in the D4 Software Engineering Technology Study Program are dispersed across devices and locations, complicating retrieval, version control, validation, and completeness monitoring. This study develops web-based SIDA TRPL using Waterfall, Laravel 13, SQLite, an in-memory Inverted Index, and BM25 (k1 = 1.5; b = 0.75). Black-box testing showed 7/7 scenarios successful (100%). On five documents and five multi-term queries, BM25 ranked the target first in all cases (5/5; Hit@1 = 100%), while literal SQL LIKE retrieved only 1/5 targets (20%). Role-based UAT accepted 12/12 scenarios (100\%). Nielsen inspection found eight heuristics fulfilled and two partially fulfilled, mainly undo/recovery and help/documentation. In the test environment, SIDA TRPL supports centralized document management, role-based validation, completeness monitoring, and relevance-oriented retrieval; production effectiveness requires further evaluation.
Co-Authors Ahmad Ryadussholihin Syafi’i Ahmad Ryadussholihin Syafi’i Ari Kurniawati Asmaul Husna RS Asmaul Husna RS Asmaul Husna RS Asmaul Husna RS Cahyono, Tomy Dwi Hendra Setiawan Hendra Setiawan Hizriansyah, Hizriansyah Lukman Hakim M. Dermawan Mulyodiputro M. Dermawan Mulyodiputro M. Dermawan Mulyodiputro Mindi Richia Putri Mindi Richia Putri Mursalin Mursalin Musparlin Halid Purwanti, Santi Qudsi, Jihadil Rakhmayudhi, Rakhmayudhi Restu Mahardhika Wilia Ismiyarti Wulandari Dewi Susilawati