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All Journal Seruni - Seminar Riset Unggulan Nasional Inoformatika dan Komputer Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Jurnal Qua Teknika Jurnal Daya Mas : Media Komunikasi dan Informasi Hasil Pengabdian dan Pemberdayaan Masyarakat Pilar Teknologi : Jurnal Penelitian Ilmu-ilmu Teknik Journal of Computer and Information Systems Ampera SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Ekonomi dan Teknik Informatika International Journal of Artificial Intelligence and Science
Candra Budi Susila
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Sistem Informasi Manajemen Pengelolaan Sistem Penyediaan Air Minum Dan Sanitasi Desa Bintoyo Berbasis Web Nur Rohmad; Tomi Tristono; Candra Budi Susila
JURNAL PILAR TEKNOLOGI Jurnal Ilmiah Ilmu Ilmu Teknik Vol. 9 No. 2 (2024): Jurnal Pilar Teknologi
Publisher : LPPM Universitas Merdeka Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33319/piltek.v9i2.130

Abstract

KPSPAM Panguripan is a paid water well management that belongs to the assets of Bintoyo Village. The task of this management is to manage and operate clean water wells so that customers, namely the people of Bintoyo Village, can feel the benefits. Currently, the management is still having difficulty managing the well because it uses manual methods in carrying out its operations. For example, when creating invoices for customers, they still use the manual method, using Microsoft Word by recording them one by one and adding them with a calculator to determine the amount of the customer's bill. Management requires an advanced system integrated with information technology to save time and facilitate the management of these paid clean water wells. A web-based water supply and sanitation management information system has been successfully built using the Waterfall application development method. The system is declared to be running well. It is proven by the existence of system testing using the black box testing method. This system can help simplify management in managing the Panguripan KPSPAM in Bintoyo village.
Pemberian Prioritas Bantuan Terhadap Wilayah Potensi Bencana Gempa Bumi Menggunakan Metode Likert dan Weighted Sum Model Rendrarini, Diana; Utomo, Pradityo; Amadi, Dwi Nor; Susila, Candra Budi
Journal of Computer and Information Systems Ampera Vol. 6 No. 1 (2025): January
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v6i1.630

Abstract

Earthquakes are one of the natural disasters that frequently occur in several regions of Indonesia. The government can map in advance the areas that are prone to earthquakes. The results of this mapping can serve as a reference for prioritizing aid distribution to regions with high earthquake disaster potential. This study utilizes the Weighted Sum Model (WSM) to map the priority areas for government aid distribution. The WSM method provides an output ranking regions from high priority to low priority. Several criteria are considered, including the number of exposed populations, the number of disabled individuals, the number of impoverished residents, the number of vulnerable age groups, and the class of exposed populations. Since the exposed population class is non-numeric data, this study employs the Likert method to convert it into numeric data. In addition to criteria, this study also utilizes alternative data, specifically the names of sub-districts in Pacitan Regency, East Java. The combination of the Likert and WSM methods helps in recommending regions with earthquake disaster potential as priority aid recipients. The most prioritized region for receiving aid is Tulakan Sub-district, Pacitan Regency, East Java. Based on WSM calculations, Tulakan Sub-district has the highest WSM final score of 26,642.35, making it the top-priority region compared to others.
IDENTIFIKASI JENIS ANCAMAN BENCANA DAN PERKIRAAN DAMPAKNYA PADA LINGKUNGAN SEKITAR Rendrarini, Diana; Fatmawati, Laily; Susila, Candra Budi; Meifani, Nely Indra; Sukadi, Sukadi; Tristono, Tomi; Susilo, Hendro
Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Vol 11 No 2 (2024): Mei
Publisher : Lembaga Penelitian, Penerbitan dan Pengabdian Masyarakat (LP3M) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/ppkm.v11i2.6730

Abstract

Studi ini bertujuan untuk mengidentifikasi jenis ancaman bencana dan prediksi dampaknya bagi Desa Sukoharjo, Kec./ Kabupaten Pacitan. Kami menggunakan metode wawancara pada penduduk setempat untuk menggali data empiris. Wawancara dilaksanakan pada saat diskusi kajian risiko bencana partisipatif tahun 2022 dalam rangka konstruksi Desa Tangguh Bencana (DESTANA). Hasil studi menyatakan bahwa ancaman bencana untuk Desa Sukoharjo, yaitu banjir dan sampah rumah tangga. Pada Dusun Prambon dan Dusun Nitikan yang wilayahnya berada di dataran tinggi, terdapat ancaman tanah longsor. Tingkat resiko banjir yang sifatnya tahunan terutama pada alam/ lingkungan, fisik/ infrastruktur, dan roda perekonomian tergolong tinggi serta dampaknya dikatagorikan agak parah, parah, sangat parah. Sedangkan tingkat resiko tanah longsor secara umum dampaknya tidak parah dan agak parah. Dampak bencana karena sampah rumah tangga dikatagorikan parah. Sampah yang hanyut bersama aliran sungai Jelok dapat menyumbat bendungan air dan menyebabkan banjir.
Web-Based Electric Bicycle Fault Diagnosis Using the Backward Chaining Method Nugroho, Satrio Wicaksono; Dwi Nor Amadi; Pradityo Utomo; Candra Budi Susila
International Journal of Artificial Intelligence and Science Vol. 2 No. 2 (2025): September
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/IJAIS.v2i2.35

Abstract

This study aims to develop a web-based expert system for diagnosing electric bicycle faults using the backward chaining method. It addresses the limitation of previous systems that did not support user input of fault hypotheses. The research stages include literature review, data collection (31 faults and 5 symptoms), implementation of web-based inference, and black box testing. The results demonstrate that the system successfully accommodates user-input hypotheses and related symptoms, then matches them with rules to generate diagnoses. Functional testing confirms all features operate as intended. The research novelty lies in: (1) the first comprehensive knowledge base for electric bicycles (31 faults), (2) an interactive web interface supporting hypothesis input, and (3) dynamic database storage for rule updates.
Co-Authors Amadi, Dwi Nor Arif - Diana Rendrarini Dwi Nor Amadi Erlina Idola Ganis Fatmawati, Laily Hendro Susilo Meifani, Nely Indra Muhammad Syifa'ul Aqhyar Nanang Junaedi Nugroho, Satrio Wicaksono Nur Rohmad Pradityo Utomo Ramadian Agus Triyono - Universitas Surakarta Rendrarini, Diana Sukadi Sukadi Sukadi Susilo, Hendro Tomi Tristono Tomi Tristono