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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informasi dan Teknologi JURNAL MASYARAKAT NEGERI ROKANIA Jurnal Abdi Masyarakat Indonesia Buletin Sistem Informasi dan Teknologi Islam Sambulugana Journal of Embedded Systems, Security and Intelligent Systems Journal of Information Technology and its Utilization Linier: Literatur Informatika dan Komputer
St. Hajrah Mansyur
Fakultas Ilmu Komputer, Universitas Muslim Indonesia, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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DESIGN WEB-BASED ELECTRICAL CONTROL SYSTEM USING RASPBERRY PI Dolly Indra; Tasmil Tasmil; Herman Herman; St. Hajrah Mansyur; Erick Irawadi Alwi
Journal of Information Technology and Its Utilization Vol 2 No 1 (2019)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.2.1.2275

Abstract

The use of current website technology can be applied as a control and monitoring system, which is used to control electrical devices, so that the user can only control the PC or smartphone that has been connected to Wi-Fi or the Internet. In this case the control uses the Raspberry Pi Mini PC which has several advantages such as low power and is relatively easy when connected with a web server compared to a microcontroller. By utilizing the Raspberry Pi Mini PC as a web server, it can replace PC functions in general. The results in this study are the Electric Control System that has been made capable of controlling 4 AC voltage electronics as well as 4 relays with each relay capable of bearing a maximum load of 2200 watts using a power supply on the Raspberry Pi which has a minimum of 0.7 amperes and Control of electrical load can be done within a distance of 0 meters - 15 meters from the wireless router
Sistem Pakar Pendiagnosa Jenis Penyakit Asam Lambung Dengan Metode Certainty Factor Berbasis Web (Studi Kasus: RS. Pelamonia) Muhammad Arfah Iswaniah; Purnawansyah Purnawansyah; st. Hajrah Mansyur
LINIER: Literatur Informatika dan Komputer Vol 2, No 3 (2025)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/linier.v2i3.3148

Abstract

Penyakit asam lambung atau dispepsia merupakan gangguan pencernaan yang umum terjadi dan sering dikeluhkan oleh pasien di RS Pelamonia Kota Makassar. Proses diagnosis penyakit ini secara manual memerlukan waktu yang lama dan rentan terhadap kesalahan akibat keterbatasan sumber daya medis. Penelitian ini bertujuan untuk mengembangkan sistem pakar berbasis web guna membantu proses diagnosis awal penyakit asam lambung menggunakan metode Certainty Factor (CF). Metode CF digunakan untuk menghitung tingkat keyakinan berdasarkan gejala yang dialami oleh pasien, sedangkan proses penalaran dalam sistem menerapkan teknik forward chaining. Sistem dikembangkan menggunakan bahasa pemrograman web dan basis data MySQL, serta mengikuti pendekatan pengembangan perangkat lunak Extreme Programming (XP) agar dapat beradaptasi terhadap perubahan dan kebutuhan sistem. Data diperoleh melalui wawancara dengan dokter spesialis, observasi langsung, dan studi pustaka. Pengujian sistem dilakukan dengan metode black box testing untuk memastikan setiap fungsi berjalan sesuai harapan. Hasil dari penelitian ini adalah sistem pakar diagnosis penyakit asam lambung yang dapat diakses oleh masyarakat secara daring, memberikan informasi awal tentang kondisi kesehatan, serta mendukung efisiensi pelayanan medis di RS Pelamonia
Enhancing The Quality of College Decisions Through Decision Tree and Random Forest Models Sitti Rahmah Jabir; Huzain Azis; St. Hajrah Mansyur
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.1225

Abstract

One of the key indicators of the growth of a college is the number of students that are enrolled in the institution on an annual basis. Student enrollment is a crucial element in the growth of a college, particularly in the case of private institutions. When examining students' aspirations for higher education, several studies use data mining techniques to forecast the interests of students who will pursue college. Researchers adopt various ways to extract valuable information from data. Prior research has shown that the decision tree technique outperforms alternative methods. The random forest, in addition to the decision tree, is often used for predicting data mining tasks. Given the above background information, the author will conduct a study titled "Comparative Analysis of Decision Tree and Random Forest Algorithms in Predicting College Interests." According to the study findings, the decision tree outperforms the random forest in terms of outcomes. The accuracy of the decision tree model is 0.81, whereas the accuracy of the Random Forest model is 0.74. All in all, the Decision Tree approach will be used as the ultimate outcome for the implementation of Business Analytics.
Improving Data Completeness in SINTA Publication Scraping Using an Iterative Method Muhammad Arfah Asis; St. Hajrah Mansyur; Nia Kurniati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 3 (2026): Juni 2026 (in progress)
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i3.6952

Abstract

The structure of publication data on lecturer profiles in SINTA, particularly those indexed by SCOPUS, often results in data duplication and missing records. This issue arises because articles are distributed by year across multiple pages, making standard single-pass scraping methods unable to guarantee data completeness. This study aims to develop and evaluate the effectiveness of an iterative scraping method in improving the accuracy of publication data retrieval from SINTA. The proposed method involves a series of ten experimental trials, in which the results of single-pass scraping are compared with those of iterative scraping. The evaluated parameters include the level of data completeness and the number of iterations required to achieve optimal results. The findings indicate that single-pass scraping captures only an average of 70.7% of publications in the first iteration, with frequent occurrences of duplicated and missing data. In contrast, the iterative scraping method consistently achieves 100% publication retrieval across all trials, although it requires a varying number of iterations ranging from four to eleven. Therefore, it can be concluded that iterative scraping is a more reliable approach for ensuring the completeness and accuracy of publication data. Although this approach demands greater computational resources than standard methods, it is well suited for large-scale bibliometric studies, institutional evaluations, and more comprehensive monitoring of research trends.
Co-Authors Andi Indah Ayu Lestari Andi Nurwanah Bayu Adrian Ashad Dedy Atmajaya Dolly Indra Erick Irawadi Alwi Fitriani Hasbullah Fitriani Hasbullah Harlinda Lahuddin Herman Herman Heryanti Heryanti Lutfi Budi Ilmawan Muhammad Aqil Amin Muhammad Arfah Asis Muhammad Arfah Iswaniah Muhammad Nusran Nia Kurniati Nur Amanah Nurul Ilmy Husain Paramadina Mulya Majid Purnawansyah Purnawansyah Ramdaniah Ramdaniah Rini Indriani Alashari Syarif Roufur Rohim Shulfiani Shulfiani Siska Anraeni Sitti Ajriana Amin Sitti Rahmah Jabir Sriwijanaka Sriwijanaka Tasmil Tasmil Ummu Kalsum Wd. Shaqina Rafa Naura