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All Journal Jurnal Informatika dan Teknik Elektro Terapan DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Journal of Islamic World and Politics PUBLIDIMAS CSRID
Batubara, Rini Oktari
Unknown Affiliation
Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Good Governance Overview: Public Satisfaction Related to Medan Berkah Program Using Monte Carlo Method in Waste Management of Medan City Srifauzi, Aulia; Batubara, Rini Oktari; Ardiansyah, Yuda; Saputra, Dede Ardi
Journal of Islamic World and Politics Vol. 8 No. 2 (2024): December 2024
Publisher : Prodi Hubungan Internasional Program Magister Univ. Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jiwp.v8i2.142

Abstract

In 2023, Medan City won the Adipura award in the metropolitan city category after being declared one of the dirtiest cities at the end of 2019. This achievement aligns with the Medan Berkah Collaboration program promoted by the Medan City Government, which is part of the effort to make Medan a sustainable, clean, and conducive city. The success of the city government in achieving this goal largely depends on the extent to which problems can be addressed and viewed positively by the public. This research uses the concepts of good governance and SDGs. Good governance creates an ecosystem that enables partnerships between government, society, and the private sector to achieve SDG targets jointly. Good governance, in the view of Islamic law, prioritizes the interests and benefits of humans with a system of regulation, control, and implementation in a country or region. Then, the author uses the Monte-Carlo method to predict the level of public satisfaction with handling waste management and waste as a consideration for the government in formulating further policies. This research is qualitative, and the data collection methods are observation, documentation, FGDs, and interviews. Data was taken in the form of interviews with the community and city government and environmental observations. The results of this study show that the Medan Berkah collaboration has been well implemented but has yet to be fully effective in overcoming the waste problem in Medan City.
Optimization of Medical Device Inventory Planning with the Apriori Method at Malahayati Pharmacy Medan Rahmadsyah, Andi; Batubara, Rini Oktari
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 1 (2025): Februari 2025
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.17.1.2025.93-105

Abstract

Malahayati Islamic Hospital (RSIM) is a General Hospital engaged in the field of medical or health services for the community, with the aim of assisting the government in serving the community in the field of health and improving the quality of public health, both physical, spiritual and social health. In this hospital there is a pharmacy that helps patients and other medical personnel to obtain medicines and medical devices needed in its management, often the availability of medical devices in the warehouse is very minimal and errors often occur in data collection. In planning the supply of medical devices, the pharmacy finds it difficult to find out information about which types of medical devices are most in demand so that in the future they will increase stock in the warehouse. This can make customers dissatisfied in receiving services, errors in data management that still uses manual methods and is not yet systematic. To overcome this, a system is needed that can be used to find out forecasting using the Apriori Method. In the design and manufacture of this system, the Visual Basic (VB) 2010 application and data storage using the SQL Server 2008 database are used. With this system, it can help the pharmacy to find out information on the supply of medical devices that will come to the Malahayati pharmacy.
Implementasi Manajemen Rekam Medis Digital dalam Pengabdian kepada Masyarakat di Layanan Kesehatan Gigi dan Mulut Sadikin, Muhammad; Putri, Dini Ridha Dwiki; Syamanta, Arbana; Liswanty, Ina; Masyitah, Emi; Batubara, Rini Oktari
Publikasi Pengabdian Masyarakat Vol 5 No 1 (2025): PUBLIDIMAS Vol. 5 No. 1 MEI 2025
Publisher : LPPM Universitas Potensi Utama

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Abstract

Dental and oral health services that still rely on manual recording systems often face various problems, such as difficulty in searching for data, the risk of losing information, and inefficiency in the service process. This study aims to implement a digital medical record management system to improve the efficiency and quality of services in dental and oral clinics. The methodology used includes field observations, interviews with clinic staff, and training and assistance in implementing the digital system. Based on the results of the study, the implementation of this digital system has succeeded in accelerating the patient administration process, increasing data security, and facilitating the management of more structured and integrated patient information. In addition, clinic staff reported increased efficiency in administrative work, while patients felt more satisfied with faster and more organized services. In conclusion, the implementation of a digital medical record management system has proven effective in overcoming the constraints of manual data management and improving the quality of dental and oral health services. This study can be a reference for other clinics that want to carry out digital transformation in medical record management.
Sistem Rekomendasi Pemilihan Jurusan Untuk Siswa Berbasis Web Pada SMK Yaspi Menggunakan Metode Decision Tree Ramadhani, Deffi; Batubara, Rini Oktari; Sitinjak, Nandri Marsan
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 6, No 2: DESEMBER 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i2.7764

Abstract

Pemilihan jurusan di SMK Yaspi selama ini dilakukan secara manual berdasarkan nilai rapor dan wawancara minat siswa, sehingga kurang objektif dan berpotensi menimbulkan kesalahan. Penelitian ini bertujuan membangun sistem rekomendasi pemilihan jurusan berbasis web menggunakan metode Decision Tree untuk membantu sekolah menentukan jurusan sesuai potensi siswa. Data yang digunakan mencakup nilai rapor SMP (Matematika, Bahasa Indonesia, Bahasa Inggris, IPA) serta minat siswa. Tahapan penelitian meliputi analisis kebutuhan, pengumpulan data, preprocessing, perancangan sistem dengan UML, implementasi algoritma Decision Tree menggunakan Python, dan integrasi dengan web berbasis MySQL. Hasil uji menunjukkan sistem mampu memberikan rekomendasi jurusan dengan akurasi baik berdasarkan confusion matrix dan classification report. Sistem ini meningkatkan efisiensi, akurasi, dan objektivitas penjurusan serta membantu siswa memahami pilihan jurusan yang sesuai dengan minat dan kemampuan mereka.
Development of a Geographic Information System–Based Palm Tree Census Tool for Oil Palm Plantations (Case Study: Langkat Regency) Fragastia, Vidi Agung; Batubara, Rini Oktari; Putra, Armansyah; Afilla, Muhammad Rizky
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 3 (2024): October 2024
Publisher : LPPM Universitas Potensi Utama

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Abstract

Oil palm plantations require accurate and timely plant census data to support effective management decisions related to productivity, replanting, and maintenance activities. However, conventional manual census methods are constrained by long processing times, inconsistent data quality, and high susceptibility to human error. These limitations hinder the early identification of abnormal or missing palms and delay operational planning. To address these challenges, this study developed an integrated digital census system using a Web-based Geographic Information System (WebGIS), GPS-enabled Android mobile applications, and drone-based photogrammetry. The research employed the Waterfall Software Development Life Cycle (SDLC), consisting of requirement analysis, system design, implementation, testing, and maintenance. Spatial and non-spatial data were collected through field observations, interviews, GPS coordinates, and UAV imagery. The system was developed using PHP, MySQL, and GIS-based visualization tools, while mobile components utilized GPS navigation to guide field staff in locating abnormal trees. Analysis of census data revealed that 799 out of 47,404 trees (1.68%) were classified as abnormal or missing, a population loss that can significantly reduce potential yield. The GIS-based system demonstrated substantial efficiency improvements, reducing census duration from 7–8 months to 1–2 months in Observation Area 1 and from 4–5 months to 1 month in Observation Area 2. Drone photogrammetry enabled more accurate detection of canopy gaps and validated field measurements. System testing showed that all functional modules performed correctly, and User Acceptance Testing yielded a Cronbach’s Alpha value of 0.821, indicating strong user acceptance and instrument reliability. Overall, the integrated system enhances data accuracy, accelerates census operations, and supports site-specific management in alignment with precision agriculture principles. The results highlight the system’s potential to significantly improve operational efficiency and sustainability in oil palm plantation management.
ANALISIS EVIDENCE PSIKOLOGIS UNTUK KLASIFIKASI GANGGUAN KESEHATAN MENTAL MENGGUNAKAN METODE DEMPSTER–SHAFER Putri, Dini Ridha Dwiki; Fahlevi, Muhammad Reza; Putri, Fetty Ade; Batubara, Rini Oktari; Syahrin, Elvin; Novanda, Muhammad Alvin
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8958

Abstract

Gangguan kesehatan mental seperti depresi, kecemasan, dan stres merupakan permasalahan yang terus meningkat, khususnya pada kelompok usia produktif seperti mahasiswa. Deteksi dini gangguan mental masih menghadapi berbagai kendala, antara lain keterbatasan akses layanan profesional, stigma sosial, serta ketidakpastian gejala psikologis yang bersifat subjektif dan saling tumpang tindih. Penelitian ini bertujuan untuk mengembangkan model klasifikasi gangguan kesehatan mental berbasis sistem pakar menggunakan metode Dempster–Shafer dengan memanfaatkan evidence psikologis dari instrumen standar PHQ-9, GAD-7, dan DASS-21. Pendekatan yang digunakan adalah penelitian terapan dengan metode kuantitatif, di mana skor kuesioner dikonversi menjadi nilai belief dan dikombinasikan menggunakan teori Dempster–Shafer. Penelitian melibatkan 35 responden mahasiswa sebagai subjek penelitian. Hasil analisis menunjukkan bahwa metode Dempster–Shafer mampu menggabungkan evidence psikologis yang tidak pasti dan tumpang tindih untuk menghasilkan nilai keyakinan gangguan mental secara terukur. Hasil klasifikasi menunjukkan dominasi gangguan depresi dengan persentase 75,43% tingkat keyakinan tinggi dibandingkan gangguan kecemasan dan stres. Penelitian ini menyimpulkan bahwa integrasi instrumen psikologi standar dengan metode Dempster–Shafer efektif digunakan sebagai alat skrining dini gangguan kesehatan mental, namun tidak dimaksudkan sebagai pengganti diagnosis klinis.
Co-Authors Afilla, Muhammad Rizky Ardiansyah, Yuda Armansyah Putra, Armansyah Fragastia, Vidi Agung Ina Liswanty Masyitah, Emi MUHAMMAD REZA FAHLEVI Muhammad Sadikin Novanda, Muhammad Alvin Putri, Dini Ridha Dwiki Putri, Fetty Ade Rahmadsyah, Andi Ramadhani, Deffi Saputra, Dede Ardi Sitinjak, Nandri Marsan Srifauzi, Aulia Syahrin, Elvin Syamanta, Arbana