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Rancang Bangun Aplikasi Rekapitulasi Data Nilai Siswa Smk Nu Darma Aji Legok Lohbener Berbasis Website Ghozali, Ahmad Lubis; Nisa, Khayatun; Ismanto, Eka; ., Iryanto
Prosiding Sains Nasional dan Teknologi Vol 11, No 1 (2021): PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI 11 2021
Publisher : Fakultas Teknik Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/psnst.v1i1.5096

Abstract

Rancang Bangun Aplikasi Rekapitulasi Data Nilai Siswa SMK NU DARMA AJI Legok Lohbener Berbasis Website ini merupakan suatu sistem yang memberikan informasi keaktifan siswa secara online sehingga membantu kecepatan dan kualitas dalam penyampaian informasi. Permasalahan yang terjadi dalam perekapan nilai raport siswa SMK NU DARMA AJI Legok Lohbener saat ini masih bersifat konvensional, yaitu masih ditulis di leger nilai sehingga banyak waktu dan tenaga yang diperlukan untuk memproses tugas tersebut. Penelitian ini bertujuan untuk mengatasi sulitnya penyampaian informasi terkait nilai tugas, nilai UTS dan nilai UAS. Selain itu dengan berbasis website maka informasi data dapat diakses kapan saja. Berdasarkan permasalahan yang ada, penulis ingin mengajukan saran membuat suatu aplikasi rekapitulasi data nilai rapor SMK berbasis website, dengan adanya sistem tersebut, diharapkan nantinya untuk pengelolaan nilai akan lebih terorganisir sehingga akan meringankan cara kerja dan meningkatnya efesiensi kerja. Metode yang digunakan untuk merancang aplikasi tersebut adalah penentuan kebutuhan sistem yang akan dibangun, menganalisis proses pengolahan data nilai yang sedang berjalan, mendesain sistem baru yang terkomputerisasi, membuat sistem/pemrograman, dan yang terakhir menguji sistem yang telah dibuat. Program yang dihasilkan dalam sistem ini adalah Rancang Bangun Aplikasi Rekapitulasi Data Nilai Siswa SMK NU DARMA AJI Legok Lohbener berbasis Website dengan menggunakan bahasa pemrograman PHP dan database MySQL
Penerapan Metode Forward Chaining Pada Sistem Informasi Pendukung Keputusan Untuk Mendiagnosa Penyakit HIV/AIDS Ahmad Lubis Ghozali; Karina; Dian Pramadhana; Riyan Farismana
Journal of Informatics and Computing Vol. 3 No. 2 (2024): Journal of Informatics and Computing
Publisher : Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/random.v3i2.55

Abstract

Rendahnya kesadaran dan ketidaktahuan masyarakat tentang HIV/AIDS serta tingginya stigma dan diskriminasi yang menyebabkan masyarakat enggan untuk melakukan tes menjadi salah satu faktor infeksi HIV yang terus meningkat setiap tahunnya di Indonesia. Untuk membantu masyarakat melakukan diagnosis dini penyakit HIV/AIDS secara mandiri, maka dibuatlah sistem pendukung keputusan diagnosa HIV/AIDS dengan menerapkan metode forward chaining untuk membantu mengidentifikasi stadium penyakit HIV/AIDS berdasarkan gejala umum dan faktor risiko. Sistem ini juga menyediakan informasi tentang HIV/AIDS. Pengujian sistem ini menggunkan pengujian black-box dan kuesioner, hasil pengujian menggunakan pengujian kuesioner yang dilakukan menunjukkan bahwa sistem memiliki tingkat kelayakan sekitar 75,3% dan pengujian akurasi sistem sebesar 80%.
Sistem Informasi Forecasting Produksi Padi Menggunakan Metode Least Square Fikri, Moh Ali; Ghozali, Ahmad Lubis; Darsih, Darsih
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss1pp81-88

Abstract

Agriculture has an important role in the commodity sector of the Indonesian people's economy. Indonesia is an agricultural country with extensive agricultural land. So it is truly ironic that Indonesia, as an agricultural country, has to import several basic food ingredients from abroad. Rice production data from year to year has decreased in Indonesia. If the decline in rice production continues in the future, Indonesia will not be able to cope with the increasing food needs of the people. More than 90% of the rice consumed by Indonesian people is self-produced. About 95% of this production is produced from rice fields. Indonesia's land area and territory are so large, a strategic step is needed that can overcome the problem of decreasing rice production. One step that can be taken is to mitigate rice production data by being able to read the data and process it into an appropriate source of information. One of the methods used is applying parameter estimation in regression analysis based on minimizing the sum of squares of the residuals created in the results of each individual equation, namely least squares. The data processed is rice harvest area, production and productivity by province in 2018-2020 and 2019-2023. The creation of the information system uses the PHP programming language version 8.2.4 which runs on the Apache 2.0 web server and the php-ml library. The research resulted in a forecast for rice production in 2024 of 52,676,827 tons, in 2025 of 51,936,919 tons, and in 2026 of 51,197,011 tons. Forecasting accuracy using the least squares method is very good with a MAPE value of 1.93%.
Application of Fuzzy Service Quality Method in Measuring Student Service Satisfaction Level Ghozali, Ahmad Lubis; Warsito, Budi; Fikri, Moh Ali
JTP - Jurnal Teknologi Pendidikan Vol. 27 No. 1 (2025): Jurnal Teknologi Pendidikan
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtp.v27i1.54324

Abstract

University services can be evaluated based on the quality of performance provided by faculty, administrative staff, and supporting institutional structures. Ensuring student satisfaction and minimizing complaints related to campus facilities are essential in enhancing the quality of higher education. This study aims to develop a method for measuring student satisfaction with campus services at Indramayu State Polytechnic using the fuzzy SERVQUAL technique. Data were collected through a questionnaire distributed to 100 students from three majors: Engineering, Informatics, and Nursing. The instrument used was both valid, with a 5% significance level, and reliable, as shown by a Cronbach's alpha score of 0.746. Data analysis involved comparing the gap between students’ perceptions and expectations across five service quality dimensions: tangibility, reliability, responsiveness, assurance, and empathy. The analysis revealed the largest gap in tangibility and the smallest in empathy. These findings indicate that while certain service aspects meet student expectations, others still require significant improvement. The results are expected to provide valuable input for the campus to enhance service quality and better align institutional performance with student needs. It is recommended that continuous evaluation and improvement efforts be implemented, particularly in the most critical service dimensions.
Web Based Dashboard of Airplane Turbulence Mitigation Ghozali, Ahmad Lubis; Kuresih, Kuresih; Cahyanto, Kurnia Adi; Iryanto, Iryanto; Gernowo, Rahmat
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 3 No. 11 (2024): JETBIS : Journal Of Economich, Technology and Business
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v3i11.158

Abstract

Airplane accidents still occur frequently, one of which is caused by turbulence. To minimize the risk, an effective forecasting system is needed. This research focuses on developing a web-based dashboard for aircraft turbulence mitigation by considering factors such as convective cloud growth, Richardson number index, and wind shear. The dashboard was developed through four steps: requirement analysis, design, implementation, and verification. The Richardson number index (Ri) is calculated using a formula involving temperature and wind speed at different geopotential heights. Alert status is determined based on Ri values and other parameters, with three alert levels: 'Alert 1', 'Alert 2' and 'Alert 3'. The system provides alerts based on user input. If the cloud cover is less than 50%, the “Alert 1” status is displayed; if Ri < 0.25, the “Alert 2” status appears; and if the wind shear exceeds the threshold, the “Alert 3” status indicates that flights are prohibited. Pilot tests show that the system works well and the Ri calculation results are comparable to existing Richardson calculators. The dashboard allows users to access critical information related to turbulence and flight status in real-time, thereby improving flight safety. Timely alerts help in flight-related decision making. This research successfully developed a web-based dashboard for aircraft turbulence mitigation that works well. By monitoring convective cloud growth, Richardson number index, and wind shear, the system is able to provide relevant alerts to improve flight safety.
Web Based Dashboard of Airplane Turbulence Mitigation Ghozali, Ahmad Lubis; Kuresih, Kuresih; Cahyanto, Kurnia Adi; Iryanto, Iryanto; Gernowo, Rahmat
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 3 No. 11 (2024): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v3i11.158

Abstract

Airplane accidents still occur frequently, one of which is caused by turbulence. To minimize the risk, an effective forecasting system is needed. This research focuses on developing a web-based dashboard for aircraft turbulence mitigation by considering factors such as convective cloud growth, Richardson number index, and wind shear. The dashboard was developed through four steps: requirement analysis, design, implementation, and verification. The Richardson number index (Ri) is calculated using a formula involving temperature and wind speed at different geopotential heights. Alert status is determined based on Ri values and other parameters, with three alert levels: 'Alert 1', 'Alert 2' and 'Alert 3'. The system provides alerts based on user input. If the cloud cover is less than 50%, the “Alert 1” status is displayed; if Ri < 0.25, the “Alert 2” status appears; and if the wind shear exceeds the threshold, the “Alert 3” status indicates that flights are prohibited. Pilot tests show that the system works well and the Ri calculation results are comparable to existing Richardson calculators. The dashboard allows users to access critical information related to turbulence and flight status in real-time, thereby improving flight safety. Timely alerts help in flight-related decision making. This research successfully developed a web-based dashboard for aircraft turbulence mitigation that works well. By monitoring convective cloud growth, Richardson number index, and wind shear, the system is able to provide relevant alerts to improve flight safety.