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All Journal Jurnal Buana Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal INSYPRO (Information System and Processing) CSRID (Computer Science Research and Its Development Journal) Jurnal Sistem Informasi dan Informatika (SIMIKA) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal Software, Hardware and Information Technology Kaunia: Integration and Interconnection of Islam and Science Journal MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Intechno Journal : Information Technology Journal System Information and Computer Technology (SYNCTECH)
Nahrun Hartono, Nahrun
Unknown Affiliation
Religion Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mathematics Physics

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Sistem Informasi Penentuan Prioritas Pengadaan Obat Menggunakan Metode Analisis Activity Based Costing (ABC) Hartono, Nahrun; Ibrahim, Firmansyah; Asminarni, Asminarni
System Information and Computer Technology (SYNCTECH) Vol. 1 No. 1 (2024): February
Publisher : Subaltren Inti Media

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Abstract

Gisella Farma Pharmacy is a pharmacy that sells a wide variety of medicines. Each type of drug has a different priority level, which causes difficulty in determining priorities for drug procurement. This can lead to a waste of funds and stock buildup, which can be detrimental to the pharmacy. Additionally, in managing drug inventory, regular checks are still required for every request, as there is no real-time information on the amount of drug stock available in the pharmacy. The activity-based costing method is used to assign different priorities to each group of drugs and support drug procurement. Extreme Programming was used in developing this system, with black-box testing as the system testing method. From the results of research using the activity-based costing method: Drug sales data in April showed that 37 items (47.44%) of drugs belonged to class A with a total sales value of 79.54%, 23 items to class B (29.49%) with a total sales value of 15.28%, and 18 items to class C (23.08%) with a total sales value of 5.18%. Drug sales data in May included 31 items (43.06%) of drugs belonging to class A with a total sales value of 79.42%, 21 items to class B (29.17%) with a total sales value of 15.18%, and 20 items to class C (27.78%) with a total sales value of 5.40%. Drug sales data in June showed that 39 items (49.86%) of drugs belonged to class A with a total sales value of 79.42%, 27 items to class B (29.67%) with a total sales value of 15.37%, and 25 items to class C (27.47%) with a total sales value of 5.21%. Drug sales data in July included 40 items (44.94%) of drugs belonging to class A with a total sales value of 79.74%, 24 items to class B (26.97%) with a total sales value of 14.96%, and 25 items to class C (28.09%) with a total sales value of 5.30%.
Pengembangan dan Pengujian Kelayakan Sistem Informasi Monitoring Inventaris Sekolah Yusuf , Farida; Hartono, Nahrun; Rifdah, Nur
System Information and Computer Technology (SYNCTECH) Vol. 1 No. 1 (2024): February
Publisher : Subaltren Inti Media

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Abstract

The Selayar Islands Regency Education and Culture Office does not currently have a website to monitor school inventory data. This research aims to create a Information System that will help monitor school inventory under the supervision of the The Selayar Islands Regency Education and Culture Office. The research follows the waterfall method and uses experimental research with data collection through observation, interviews, and documentation. The application is tested using the black box testing method. The result is a school inventory monitoring application, and an evaluation conducted through questionnaires with 120 respondents shows a satisfaction rate of 82.26% for this application. It can be concluded that users are pleased with information system, and it is effective for monitoring school inventory at the Selayar Islands Regency Education and Culture Office.
Pengujian Pengalaman Pengguna pada Sistem Informasi Pengelolaan Keuangan dan Inventaris Barang Menggunakan User Experience Questionnaire (UEQ) Aliyah, Aliyah; Hartono, Nahrun
System Information and Computer Technology (SYNCTECH) Vol. 1 No. 2 (2025): July
Publisher : Subaltren Inti Media

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Abstract

User experience testing is an essential step in evaluating the quality of user interaction with an information system. This study aims to analyze the user experience of a financial management information system using the User Experience Questionnaire (UEQ) method. This method covers six main evaluation dimensions: Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. The evaluation results indicate that the financial management information system performs positively across all dimensions, with the following average scores: Attractiveness 1.91, Perspicuity 2.22, Efficiency 1.77, Dependability 1.94, Stimulation 1.78, and Novelty 1.89. The highest score in the Perspicuity dimension shows that the system is easy to understand and use by users. Meanwhile, the scores in the Efficiency, Stimulation, and Novelty dimensions provide insights for improving the system’s optimization, appeal, and innovation. Overall, these results demonstrate that the user experience of the financial management information system falls into the positive category and supports the system’s effectiveness in helping users manage finances efficiently. Further development recommendations focus on enhancing the efficiency and stimulation dimensions to provide a better user experience.
Rekonstruksi Pendidikan Islam Berbasis Technoscience: Optimalisasi Kecerdasan Buatan Untuk Pembelajaran Inovatif Hastuti, Hastuti; Hartono, Nahrun
Kaunia: Integration and Interconnection Islam and Science Journal Vol. 20 No. 2 (2024)
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/kaunia.4865

Abstract

Perkembangan teknologi, khususnya kecerdasan buatan (AI), telah membawa perubahan mendasar pada dunia pendidikan secara global, termasuk dalam pendidikan Islam. Penelitian ini berfokus pada upaya optimalisasi AI untuk membangun kembali metode pembelajaran Islam yang lebih inovatif dan adaptif guna memenuhi kebutuhan siswa abad ke-21. Penelitian ini menggunakan metode studi literatur dan analisis kualitatif melalui survei yang dilakukan terhadap guru dan siswa untuk mengeksplorasi berbagai aplikasi AI yang relevan, seperti chatbot untuk tutor virtual, sistem pembelajaran adaptif, serta analisis big data yang bertujuan untuk mempersonalisasi proses pembelajaran. Hasil penelitian menunjukkan bahwa AI memiliki potensi besar dalam meningkatkan kualitas pembelajaran Islam melalui pendekatan yang lebih personal, interaktif, dan fleksibel. Penggunaan chatbot berbasis AI mampu memfasilitasi interaksi pembelajaran yang lebih intensif, sementara sistem pembelajaran adaptif dapat menyesuaikan materi dengan tingkat pemahaman mahasiswa. Selain itu, analisis big data memberikan wawasan yang lebih dalam bagi para pendidik untuk mengenali kebutuhan belajar individu peserta didik. Meskipun demikian, penelitian ini juga menemukan sejumlah tantangan, seperti rendahnya literasi digital di kalangan guru dan siswa serta kekhawatiran terkait etika penggunaan AI dalam konteks pembelajaran agama. Dengan demikian, rekonstruksi pendidikan Islam berbasis technoscience melalui integrasi AI merupakan langkah strategis untuk menjawab tantangan pendidikan di era digital. Meskipun masih ada kendala yang harus diatasi, potensi AI dalam meningkatkan efektivitas pembelajaran Islam sangat besar. Oleh karena itu, diperlukan pengembangan kurikulum yang mengintegrasikan AI, peningkatan literasi digital bagi pendidik, serta penerapan AI yang selaras dengan nilai-nilai agama.
Systematic Literature Review: Current Products, Topic, and Implementation of Graph Database Rizaldy, Adhy; Fahriah, Sirli; Hartono, Nahrun
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 7 No. 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.19007

Abstract

Planning, developing, and updating software cannot be separated from the role of the database. From various types of databases, graph databases are considered to have various advantages over their predecessor, relational databases. Graph databases then become the latest trend in the software and data science industry, apart from the development of graph theory itself. The proliferation of research on GDB in the last decade raises questions about what topics are associated with GDB, what industries use GDB in its data processing, what the GDB models are, and what types of GDB have been used most frequently by users in the last few years. This article aims to answer these questions through a Literature Review, which is carried out by determining objectives, determining the limits of review coverage, determining inclusion and exclusion criteria for data retrieval, data extraction, and quality assessment. Based on a review of 60 studies, several research topics related to GDB are Semantic Web, Big Data, and Parallel computing. A total of 19 (30%) studies used Neo4j as their database. Apart from Social Networks, the industries that implement GDB the most are the Transportation sector, Scientific Article Networks, and general sectors such as Enterprise Data, Biological data, and History data. This Literature Review concludes that research on the topic of the Graph Database is still developing in the future. This is shown by the breadth of application and the variety of new derivatives of GDB products offered by researchers to address existing problems.
Implementasi Metode Clustering Sebagai Penunjang Strategi dalam Manajemen Pelanggan Nurmilayanti; Hartono, Nahrun
JURNAL FASILKOM Vol. 13 No. 3 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i3.5617

Abstract

Menajemen pelanggan merupakan hal yang paling krusial karena pelanggan adalah salah satu aset yang terpenting bagi sebuah perusahaan atau bisnis. Dengan penerapan manajemen pelanggan yang efektif, perusahaan atau bisnis mampu mencapai kepuasan pelanggan yang menyebabkan terciptanya pelanggan yang loyal. Untuk mencapai hal itu maka pelaku usaha harus mengenali karakteristik setiap pelanggan sehingga perusahaan dapat menyesuaikan strategi yang tepat sesuai dengan karakteristik pelanggan tersebut. Dengan menggunakan algoritma K-Medoids clustering serta analisis dari nilai RFM (Recency, Frequency, Monetary) dapat dilakukan untuk segmentasi pelanggan sehingga pemilik usaha dalam hal ini adalah toko kosmetik Rahmadani dapat mengenali karakteristik pelanggannya. Analisis nilai RFM diukur berdasarkan nilai terbaru transaksi, jumlah transaksi dan total uang selama transaksi. Jumlah data transaksi yang digunakan sebesar 1327 entri dari tahun 2021 sampai 2022. Pengujian optimum nilai cluster dilakukan dengan menggunakan metode silhouette coefficient yang menghasilkan nilai optimum 0.496 untuk 4 cluster. Hasil dari penelitian ini adalah 4 buah cluster dari 1327 data yang telah diolah melalui preprocessing data serta RFM scoring didapatkan data sebesar 178 pelanggan, pada cluster 1 berada pada peringkat kedua, cluster 2 peringkat ketiga, cluster 3 peringkat pertama dan cluster ke 4 berada pada peringkat terakhir.
Pengujian Kualitas Sistem Pelaporan Kegiatan Praktek Kerja Lapangan Siswa Menggunakan Metode McCall Sarni Rubianti, Fifian; Hartono, Nahrun; Erfina
JURNAL FASILKOM Vol. 13 No. 3 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i3.5637

Abstract

Abstrak Proses pembelajaran saat ini telah menerapkan kurikulum yang mengwajibkan siswa untuk mengikuti prktik kerja lapangan. Khususnya pada pelaporan kegiatan praktek kerja lapangan siswa di SMK Mutiara Ilmu Makassar dilakukan setiap pekan untuk melaporkan kegiatan PKL kepada 4 pembimbing yang terdiri dari wali kelas, pembimbing lapangan, pembimbing laporan dan pembimbing konsultasi. Proses pelaporan tersebut mengalami beberapa kendala diantaranya, tidak semua instansi PKL siswa menerapkan 5 hari kerja sehingga saat siswa datang di waktu akhir pekan untuk melaporkan kegiatan PKL, siswa harus meminta izin kepada pembimbing instansi dan hal tersebut sangat mempengaruhi penilaian terhadap absen siswa dan laporan PKL yang dibawa tiap pekan oleh siswa dapat berpotensi hilang atau pun rusak. Pada penelitian ini dibuat Sistem Pelaporan Kegiatan Praktek Kerja Lapangan Siswa Sekolah Menengah Kejuruan Mutiara Ilmu Makassar yang bertujuan memberikan kemudahan dalam menyelesaikan masalah siswa dalam melaporkan kegiatan selama mengikuti PKL. Metode pengembangan sistem yang digunakan adalah RAD (Rapid Application Development)yang memiliki tahapan yang singkat yaitu, tahap requirement planning, tahap workshop design dan tahap implementation. Hasil akhir dari sistem pelaporan ini menggunakan pengujian kualitas sistem metode McCall pada kategori faktor product operation yang menunjukkan kualitas sistem cukup baik digunakan dengan persentase 42,5% berdasarkan kategori kelayakan. Kata Kunci: Sistem Pelaporan, Praktek Kerja Lapangan, RAD, Pengujian Kualitas, Metode McCall.
Integrasi Data Penelitian dan Pengabdian Dosen untuk Monitoring Berbasis Data Warehouse Amalia, Yunita; Hartono, Nahrun; Muin, Asrul Azhari
System Information and Computer Technology (SYNCTECH) Vol. 2 No. 1 (2026): February
Publisher : Subaltren Inti Media

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Abstract

The management of research and community service data of lecturers in higher education institutions requires an integrated system to support effective monitoring and reporting processes. At UIN Alauddin Makassar, research and community service data had previously been stored separately in Microsoft Excel files managed by different staff members, which made data processing, retrieval, and comprehensive analysis difficult. This study employed a quantitative approach with stages consisting of requirements analysis, system design, data warehouse implementation, and system testing. Data integration was carried out through the Extract, Transform, and Load process into a structured centralized data storage. System testing was conducted using the Black Box Testing method to ensure that all system functions operated according to user requirements. The results showed that the implementation of the data warehouse successfully integrated research and community service data in a structured manner, reduced data duplication, and improved efficiency in data retrieval and report generation. The developed system also provided monitoring reports in the form of a web-based dashboard that was informative and easy to understand. Therefore, the implementation of this data warehouse was able to assist the Institute for Research and Community Service (LP2M) in managing and monitoring lecturers’ research and community service activities more effectively and optimally.
Co-Authors Aliyah, Aliyah Amalia, Yunita Andi Muhammad Nur Hidayat Armadyah Amborowati Asminarni, Asminarni Asrul Azhari Muin, Asrul Azhari Ema Utami Erfina Fahriah, Sirli Harwalis, Harwalis Hastuti Baharuddin, Hastuti Hastuti Hastuti Ibrahim, Firmansyah Mahfud Hidayat B Mahmud, Maulidani Masyhur , Zulkarnaim Masyora, Nabilah Faqita Nurmilayanti Passolongi, Haykal Rahman Rahman Rifdah, Nur Rizaldy, Adhy Sarni Rubianti, Fifian Wiwisnawati, Wiwisnawati Yusuf , Farida