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All Journal Measurement : Jurnal Akuntansi al-Lubb: Journal of Islamic Thought and Muslim Culture (JITMC) Journal of Health Sciences Jurnal Pendidikan AURA (Anak Usia Raudhatul Atfhal) Sinar Sang Surya: Jurnal Pusat Pengabdian kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat Sosiosaintifik NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Teknik dan Sains (JITS) Repeater: Publikasi Teknik Informatika dan Jaringan Journal of Big Data Analytic and Artificial Intelligence Interkoneksi: Journal of Computer Science and Digital Business Jurnal Pendidikan Anak Usia Dini dan Kewarganegaraan Jurnal Pendidikan dan Sosial Humaniora
Siti Hardianti
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Nursing Physics Social Sciences Other

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Unraveling Complexity: The Role of Hardware and Software in Building a Resilient Management Information System at SMKN 1 Bengkalis Nopita; Nur Atika; Siti Hardianti; Titin Sumarni
Interkoneksi: Journal of Computer Science and Digital Business Vol. 2 No. 1 (2024): June
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/interkoneksi.v2i1.22

Abstract

The development of management information systems has changed the way decisions are made at various managerial levels. Information technology, especially the internet, allows easy access to relevant data and powerful analytical tools, enabling managers to make better and faster decisions, increasing efficiency and productivity in organizational operations. The computer as the main tool in the information system has two main components, namely hardware and software. Computer hardware, such as the mouse, keyboard, and CPU, are the physical parts that enable data processing, while the software provides the processes to complete these tasks. The operating system, as the main software on a computer, connects hardware and other software, ensuring that various applications can run smoothly and use computer resources efficiently. In building a robust management information system, proper integration between hardware and software is essential. The synergy between the two ensures that the resulting product can run well and meet user needs and project specifications. Some management information system applications that utilize both hardware and software include ERP, SCM, TPS, OAS, KWS, IMS, DSS, ES, GDSS, CSCWS, and ESS. By understanding the role and relationship between hardware and software in management information systems, organizations can build a resilient IT infrastructure that supports their operational success.
Deskripsi Kemampuan Kognitif Melalui Permainan Puzzle pada Anak Kelompok B di TK Negeri Pembina Kabupaten Sorong Tasya Ramadhani Jamal Ahary; Yolan Marjuk; Siti Hardianti
Jurnal Pendidikan Anak Usia Dini dan Kewarganegaraan Vol. 2 No. 3 (2025): Jurnal Pendidikan Anak Usia Dini dan Kewarganegaraan
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/paud.v2i3.553

Abstract

This research aimed to know how does puzzle game conduct in developing children cognitive in age 5 to 6 years old at TK Negeri Pembina of Sorong Regency. The result of this research indicated that there was an influence on puzzle game toward cognitive development of before and after using puzzle game. It meant that the use puzzle game can help to stimulate the childrens’ cognitive development, especially on the ability if problem solving for students in age 5 to 6 years old. For this research had function to describe the effectiveness of puzzle game ini increasing childrens’ cognitive development in age 5 to 6 years old. To collect the data, this researcy used observation sheet, interview and documentation. The result of observation sheets and interview, the research applied puzzle game to be able improve cognitive development of students class B in age 5 to 6 years old.
Hak Dan Kewajiban Warga Negara Dalam Kasus Pembangunan Kawasan Industri Di Pulau Rempang Rizkya Ramadani; Siti Hardianti; Syafrilia Yolanda
Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora Vol. 4 No. 2 (2024): Juni : Jurnal Pendidikan dan Sosial Humaniora
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/khatulistiwa.v4i2.3293

Abstract

This research discusses the rights and obligations of citizens in the case of industrial area development on Rempang Island. Rempang Island in Riau Archipelago Province, Indonesia, has become the center of attention because of plans to build the Rempang Eco City by PT Makmur Elok Graha in collaboration with Xinyi International Investment Limited from China. This project worth USD 11.5 billion will transform the island into an industrial, service and tourism area, but faces strong resistance from the 16 traditional villages that have been settled since 1834. This research uses library research and a qualitative approach. This means that this research was carried out using data collection methods. This research aims to explain what rights and obligations Indonesian citizens must have so that they can improve their character and responsibility and to examine this conflict from the perspective of human rights and the impact of development on local communities. This conflict is considered a violation of human rights, especially regarding forced evictions, the right to justice and the right to freedom of expression. The government is expected to fulfill its obligation to respect, protect and fulfill the rights of affected communities by providing fair relocation solutions and adequate compensation.
Implementasi Clustering dengan Metode Minimum Spanning Tree untuk Pengelompokan Siswa berdasarkan Nilai Hasil Studi Siti Hardianti; Sinawati; Dikky Praseptian M.
Journal of Big Data Analytic and Artificial Intelligence Vol 4 No 1 (2018): JBIDAI Juni 2018
Publisher : STMIK PPKIA Tarakanita Rahmawati

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pendidikan memegang peranan penting dalam kemajuan suatu bangsa pendidikan merupakan sebuah proses yang berkesinambungan yang dilakukan secara terencana dan terukur dengan tujuan agar manusia dapat mencapai kehidupan yang lebih baik dari waktu ke waktu. Masalah yang dihadapi dalam SMA Muhammadiyah Tarakan adalah guru yang sulit untuk mengetahui kemampuan siswa karena tidak ada sistem siswa kategorisasi untuk menghitung nilai hasil studi Metode yang digunakan dalam penelitian ini adalah minimum spanning tree dengan menghitung jarak antara baris dan kolom, kemudian baris dan kolom di hitung dan dibagi sehingga hasil yang di dapatkan berupa nilai terkecil. Manfaat untuk SMA Muhammadiyah Tarakan adalah guru mampu mengidentifikasi siswa memiliki kesempatan yang sangat memuaskan, memuaskan , kurang memuaskan dan tidak memuaskan. Penelitian ini dirancang menggunakan euclidean distance yang merupakan jarak antara baris dan kolom dalam pengelompokkan nilai hasil studi. Aplikasi ini dirancang untuk membantu guru dalam melakukan proses pengelompokkan nilai siswa.
Analisis Pengupasan Volume Overburden Menggunakan Data Joint Survey Dengan Data Truck Count Di PT. XYZ Siti Hardianti; Muchtar Arifin; Dela Denada
Jurnal Ilmiah Teknik dan Sains Vol. 2 No. 3 (2025): April : Jurnal Ilmiah Teknik dan Sains (JITS)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat AKIPBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62278/jits.v2i3.51

Abstract

Selama proses penambangan, terdapat tantangan berupa ketidaksesuaian antara beberapa sumber data produksi. Tujuan penelitian adalah menentukan volume material overburden dengan metode joint survey dan data truck count periode Februari-Maret 2024, menganalisis perbandingan volume overburden antar kedua pengukuran, dan menentukan faktor yang mempengaruhi selisih volume. Hasil penelitian didapatkan nilai volume joint survey pada bulan Februari sebesar 92.191,30 BCM dan 141.882,45 BCM pada bulan Maret sedangkan volume truck count sebesar 126.294,96 BCM pada bulan Februari dan 147.818,40 BCM pada bulan Maret. Dari hasil perbandingan terdapat selisih volume sebesar -34.103,66 BCM pada bulan Februari, dan pada bulan Maret sebesar -5.935,95 BCM. Karena adanya perbedaan antara volume data survey dengan truck count, maka dapat diambil kesimpulan dengan kondisi sebenarnya data truck count tersebut dipengaruhi oleh adanya material yang lengket pada vessel CMT 106 yang ikut terhauling menuju ke pit, terdapat elevasi akhir lebih tinggi dari elevasi awal karena material hasil clearing dan grubbing ditimbun di lokasi galian quarry ikut terukur pada saat melakukan pengukuran titik koordinat akhir, adanya timbunan yang belum diangkut ke disposal kembali terukur, dan ketika di lapangan operator excavator mengurangi pengisian bucket ke dalam vessel CMT sehingga perhitungan yang dilakukan oleh admin produksi terhadap setiap ritase sebesar 28 BCM untuk LCMG CMT 106 tidak tercapai.
Mind Mapping Pencegahan Fraud Dana Desa: Sebuah Studi Bibliometrik Ardiansyah Ardiansyah; Jasmin Najwa Purmudi; Riska Dwi Savitri; Siti Hardianti
MEASUREMENT : Jurnal Program Studi Akuntansi Vol 20, No 1 (2026): MEASUREMENT : JURNAL AKUNTANSI JUNI 2026
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/mja.v20i1.9281

Abstract

This study examines the development of scientific literature regarding the prevention of village fund fraud using a bibliometric study approach. The body of literature on fraud prevention is growing rapidly, particularly in public sector accounting. Data were obtained from 75 scientific articles sourced from the Google Scholar database, covering publications from 2017 to 2026, using a combination of relevant thematic keywords. The analysis was conducted using VOSviewer software through two visualization methods, namely network visualization and density visualization, to identify research clusters, temporal trends, and topic density within the literature. Based on the integrated results of five types of VOSviewer visualizations (network visualization, overlay visualization, density visualization, citation network, and citation density), it can be concluded that research on the prevention and detection of fraud in the management of village funds has a robust, integrated scientific structure and is undergoing dynamic development.
Prediksi dan Deteksi Bug pada Visual Studio Code menggunakan Algoritma Naive Bayes Siti Hardianti; Roberto Kaban
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 4 No. 3 (2026): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v4i3.953

Abstract

Software quality is a critical aspect of modern software engineering. One of the primary challenges developers face is the early detection of bugs before software is released into the production environment. This study develops a bug prediction model using the Naive Bayes algorithm applied to the JM1 dataset from NASA's Metrics Data Program, sourced from Kaggle. The JM1 dataset consists of source code metrics from a NASA project, comprising 10,885 modules with 21 numerical features that include Halstead and McCabe metrics. All experimental stages were conducted using Python with the Pandas, Scikit-learn, NumPy, and Matplotlib libraries. Experimental results show that the Naive Bayes model achieved an accuracy of 79.93%, an ROC-AUC value of 0.6761, precision of 46.26%, recall of 23.52%, and an F1-Score of 31.18%. These findings indicate that while Naive Bayes effectively identifies non-defective modules, it faces challenges in detecting defective modules due to significant class imbalance (80.65% vs. 19.35%). The contributions of this study include an in-depth analysis of the impact of class imbalance on bug prediction performance, as well as recommendations for handling techniques such as SMOTE and ensemble learning to improve future performance.
Co-Authors Abdul Hafid Agustina Ariks Anugerah Yanuar Azis Ardiansyah Dela Denada Desi Kalawen Diba Adiba Dikky Praseptian M Dikky Praseptian M Elok Mazida Mazida Eppy Setiyowati Fatmawati Fatmawati Fatmawati Fatmawati Feri Agus Andriawan Hermawin iffa, Iffa Salsabila Annisa Sodiq Ikdafila Inka Gusmini Agustine Jasmin Najwa Purmudi Juhandi, Nendi Meita Indah Cahyani, Meita Indah Mersi Axelina Muchtar Arifin Nadiroh Nirmawati Darwis Nopita Nur Atika Ratna Sri Wahyuni Riska Dwi Savitri Rizky Rahayu Amas Rizkya Ramadani Roberto Kaban Ruslang, Ruslang Sepriadi Sepriadi Setiawati Setiawati Sinawati Sinawati Sinawati Syafrilia Yolanda Tasya Ramadhani Jamal Ahary Titin Sumarni Umi Hanik Wardanengsih, Ery welminayeblo Yammar Yolan Marjuk Yosepa Labok Yuning Margela Tamar