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All Journal Jurnal Pilar Nusa Mandiri Indonesian Journal of Information Technology and Computing (IMAGING) JAMAIKA: Jurnal Abdi Masyarakat KOMMAS: Jurnal Pengabdian Kepada Masyarakat
Basiroh Basiroh
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

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IMPLEMENTASI SISTEM INFORMASI PENGOLAHAN DATA SISWA PADA LEMBAGA PENDIDIKAN SOLOCOM Basiroh Basiroh
JAMAIKA: JURNAL ABDI MASYARAKAT Vol 2, No 1 (2021): FEBRUARI
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (257.101 KB)

Abstract

Seiring dengan perkembangan teknologi ini makin banyak bidang yang mulai beralih ke sistem komputer terutama untuk persoalan pengolahan dan penyimpanan data. Pengaturan sistem yang dilakukan secara manual membutuhkan tenaga, waktu, pikiran dan keamanan data belum terjamin. Teknologi dapat memberikan solusi terhadap permasalahan yang dihadapi. Tujuan dari implemtasi  ini adalah wujud pengabdian kepada masyarakat atau lembaga penyedia pendidikan di dalam masyarakat untuk merancang Sistem Informasi yang dapat membantu dalam pengolahan data dan pembayaran siswa. Metode yang digunakan dalam perancangan sistem ini menggunakan waterfal dengan menggunakan database MySql. Metodologi penelitian memakai observasi dan wawancara secara langsung serta menggunakan dokumen literature atau kepustakaan. Hasil dari implemtasi sistem ini menghasilkan sebuah sistem yang dapat membantu pengolahan data dan pengelolaaan administrasi pembayaran siswa berbasis web.
PELATIHAN TENAGA PENDIDIK (TENDIK) DALAM PENGGUNAAN SISTEM INFORMASI ADMINISTRASI PENGELOLAAN KEUANGAN SISWA PADA MI MUHAMMADIYAH BERBASIS DESKTOP Basiroh Basiroh; Wiji Lestari
KOMMAS: Jurnal Pengabdian Kepada Masyarakat Vol 1, No 2 (2020): KOMMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : KOMMAS: Jurnal Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (457.233 KB)

Abstract

Dalam implementasinya Sistem informasi administrasi keuangan siswa di MI Muhammadiyah Basin Kebonarum Klaten saat ini masih mengalami kesulitan dalam proses perekapan data dan pembuatan laporannya, pelatihan ini bertujuan untuk melatih para tenaga pendidik dalam menggunakan dan bagai mana merancang Sistem informasi administrasi keuangan siswa di MI Muhammadiyah Basin Kebonarum Klaten. Diharapkan pelatihan ini dapat membantu petugas dalam proses perekapan data dan pembuatan laporan agar menjadi lebih baik. Metodologi penelitian ini dilakukan dengan pendekatan secara verbal maupun training observasi dan wawancara secara langsung serta menggunakan dokumen literatur. Adapun bahan dan materi penelitian yang dibutuhkan dan tersedia di MI Muhammadiyah Basin Kebonarum Klaten yaitu berupa laboratorium komputer ataupun laptop yang dimana akan di instal aplikasi yang didalamnya berisi dokumen kuitansi pembayaran, kartu SPP dan buku tabungan.Sistem ini terdapat data yang diolah antara lain data siswa, data angsuran, data bulanan, data periode kelas, data pembayaran dan data tabungan. Sistem ini dibuat dengan Microsoft Visual Foxpro 9.0 dan hasil pelatihan ini nantinya Sistem informasi administrasi keuangan siswa di MI Muhammadiyah Basin Kebonarum Klaten dapat membantu untuk mempermudah dalam pengelolaan keuangan. Dengan adanya Sistem ini dapat dijadikan sebagai alternatif untuk mempermudah dalam pengolahan data, perekapan data dan pembuatan laporan dengan akurat, cepat dan mudah.
ANALYSIS OF PLANT FRAGARIA XANANASSA DISEASE DIAGNOSES USING PRODUCTION RULES BASE ON EXPERT SYSTEM Basiroh, Basiroh; Lestari, Wiji
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1105.831 KB) | DOI: 10.33480/pilar.v16i1.1174

Abstract

Errors that occur in solving problems in strawberry plants (Fragaria Xananassa) such as the presence of leaf patches, fruit rot, perforated leaves, and insect pests can be the cause of not maximum in harvest time. The farmers and the general public who planted strawberry (Fragaria Xananassa) need to know the proper treatment of diseases and pests so that future yields as expected. Therefore, it takes an application as a solution in the delivery of information related to the problems that are often encountered in strawberry plants (Fragaria Xananassa). Methods of production rules can be used to diagnose the disease strawberry (Fragaria Xananassa) based on signs or symptoms that occur in the parts of plants and strawberry, the results of diagnosis using this method are the same as we do Consultation on experts. The purpose of this study was to determine the early diagnosis of disease in strawberry plants (Fragaria Xananassa) based on signs or symptoms that occur in the plant and fruit parts. The results of the analysis of this study showed that the validation of disease and symptom data in strawberry plants (Fragaria Xananassa) reached 99%, meaning that between the data of symptoms and disease understudy the accuracy was guaranteed with the experts.
ANALYSIS OF PLANT FRAGARIA XANANASSA DISEASE DIAGNOSES USING PRODUCTION RULES BASE ON EXPERT SYSTEM Basiroh, Basiroh; Lestari, Wiji
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1105.831 KB) | DOI: 10.33480/pilar.v16i1.1174

Abstract

Errors that occur in solving problems in strawberry plants (Fragaria Xananassa) such as the presence of leaf patches, fruit rot, perforated leaves, and insect pests can be the cause of not maximum in harvest time. The farmers and the general public who planted strawberry (Fragaria Xananassa) need to know the proper treatment of diseases and pests so that future yields as expected. Therefore, it takes an application as a solution in the delivery of information related to the problems that are often encountered in strawberry plants (Fragaria Xananassa). Methods of production rules can be used to diagnose the disease strawberry (Fragaria Xananassa) based on signs or symptoms that occur in the parts of plants and strawberry, the results of diagnosis using this method are the same as we do Consultation on experts. The purpose of this study was to determine the early diagnosis of disease in strawberry plants (Fragaria Xananassa) based on signs or symptoms that occur in the plant and fruit parts. The results of the analysis of this study showed that the validation of disease and symptom data in strawberry plants (Fragaria Xananassa) reached 99%, meaning that between the data of symptoms and disease understudy the accuracy was guaranteed with the experts.
Implementasi Algoritma AHP Sebagai Sistem Penunjang Keputusan dalam Mengevaluasi Kelayakan Rehabilitasi Rumah Warga Berpenghasilan Rendah Basiroh Basiroh; Widya Novita Al Afifah Irwanto
Indonesian Journal of Information Technology and Computing (IMAGING) Vol 5, No 2 (2025): 31 Desember 2025
Publisher : Politeknik Harapan Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52187/img.v5i2.396

Abstract

The availability of decent housing is one of the important indicators in improving the quality of life of the community, especially for residents with low incomes. In practice, the process of determining the eligibility of recipients of housing rehabilitation assistance is often still done manually and subjectively, thus potentially causing inaccuracy and injustice in decision making. The initiative stems from the growing need for systematic and objective tools to support government and social institutions in identifying eligible households for housing rehabilitation programs. In addressing this need, the Analytical Hierarchy Process (AHP) method is employed as a core decision-making framework within the DSS due to its strength in handling complex decision problems involving multiple criteria. The system incorporates various assessment criteria, including household income, structural condition of the house, number of dependents, ownership status, and age of the building. These criteria are structured hierarchically, and their relative importance is determined through pairwise comparisons facilitated by AHP. By applying this method, the system is capable of producing a weighted score for each applicant, thus enabling decision-makers to prioritize assistance based on quantifiable and transparent factors. The research includes both qualitative and quantitative analysis, starting from needs assessment, system requirement analysis, and user interface design, to the implementation of the AHP algorithm within the DSS. Results from case studies and prototype testing demonstrate that the system improves the accuracy and fairness of housing rehabilitation assessments compared to conventional manual evaluations. Moreover, it offers a user-friendly interface for stakeholders with varying technical backgrounds. In conclusion, the integration of AHP in the proposed DSS provides a reliable and scalable solution to support equitable housing policy decisions. Future developments may include integration with GIS for location-based analysis and mobile accessibility for field surveys. 
Co-Authors Widya Novita Al Afifah Irwanto WIJI LESTARI